paulo037/starcoder · Datasets at Hugging Face

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Model Files/Stroke_Model.py	imsanjoykb/Health-AI	5	164353	<reponame>imsanjoykb/Health-AI # Importing Libraries: import pandas as pd import numpy as np import pickle # for displaying all feature from dataset: pd.pandas.set_option('display.max_columns', None) # Reading Dataset: dataset = pd.read_csv("Stroke_data.csv") # Dropping unneccsary feature : dataset = dataset.drop('id', axis=1) # Filling NaN Values in BMI feature using mean: dataset['bmi'] = dataset['bmi'].fillna(dataset['bmi'].median()) # Dropping Other gender Other_gender = dataset[dataset['gender'] == 'Other'].index[0] dataset = dataset.drop(Other_gender, axis=0) # Rename some names in worktype feature for simplacity nothing else: dataset.replace({'Self-employed' : 'Self_employed'}, inplace=True) # Rename some names in smokers feature for simplacity nothing else: dataset.replace({'never smoked':'never_smoked', 'formerly smoked':'formerly_smoked'}, inplace=True) # Dependent & Independent Feature: X = dataset.iloc[:, :-1] y = dataset.iloc[:, -1] # Label Encoding: X['ever_married'] = np.where(X['ever_married']=='Yes',1,0) ## If married replace with by 1 otherwise 0. X['Residence_type'] = np.where(X['Residence_type']=='Rural',1,0) ## If residence type is Rural replace it by 1 otherwise 0. # One Hot Encoding: X = pd.get_dummies(X, drop_first=True) # Rearranging the columns for better understanding X = X[['gender_Male','age', 'hypertension', 'heart_disease', 'ever_married', 'Residence_type', 'avg_glucose_level', 'bmi', 'work_type_Never_worked', 'work_type_Private','work_type_Self_employed', 'work_type_children', 'smoking_status_formerly_smoked', 'smoking_status_never_smoked','smoking_status_smokes']] # Over Sampling: from imblearn.over_sampling import RandomOverSampler oversampler = RandomOverSampler(0.4) x_oversampler, y_oversampler = oversampler.fit_resample(X,y) # Train Test Split: from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(x_oversampler,y_oversampler, test_size=0.2, random_state=0) # RandomForestClassifier: from sklearn.ensemble import RandomForestClassifier RandomForest = 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src/backend/build_models/build_emnist_digits_model.py	Nauheimer/swtp-ocr	0	1604147	<reponame>Nauheimer/swtp-ocr #!/usr/bin/python3 import os import tensorflow as tf import numpy as np import pandas as pd from random import randint import matplotlib.pyplot as plt from tensorflow.python.keras.layers.core import Dropout keras = tf.keras """ loads each data from emnist digit dataset. The csv mapp file for future predictions is also read. """ def load_mnist(): test = pd.read_csv("docs/emnist-digits-test.csv", delimiter= ',') train = pd.read_csv("docs/emnist-digits-train.csv", delimiter= ',') mapp = [i for i in range(10)] return test, train, mapp """ extracts respectively the test and the train datas from the emnist-digit csv file. The Labels of both sets are extracted from the first column of the emnist csv file. The proper datas of the both sets are extracted from the first to the last column of the emnist csv file. both sets are transformed as arrays to make future datas reshaping possible. returns extracted datas and labels of the train and test set respectively. """ def extract_datas(test, train): test_data = test.iloc[:, 1:] test_label = np.array(test.iloc[:, 0].values) train_data = train.iloc[:, 1:] train_label = np.array(train.iloc[:, 0].values) print(train_data.shape,train_label.shape,test_data.shape,test_label.shape) print('\n') train_data = np.array(train_data) test_data = np.array(test_data) return (train_data, train_label), (test_data, test_label) """ reshapes each data array and downscales the images pixels for a better training with CNN. """ def image_preprocessing(train_data, test_data): #reshape each image of train and test set train_data = train_data.reshape(239999, 28, 28) train_data = [np.fliplr(image) for image in train_data] train_data = [np.rot90(image) for image in train_data] train_data = np.asarray(train_data) test_data = test_data.reshape(39999, 28, 28) test_data = [np.fliplr(image) for image in test_data] test_data = [np.rot90(image) for image in test_data] test_data = np.asarray(test_data) train_data = train_data.astype('float32') test_data = test_data.astype('float32') # downscale image pixels from [0, 255] to [0, 1] train_data /= 255.0 test_data /= 255.0 print(train_data.shape, test_data.shape) return train_data, test_data """ plots some sample images. """ def plot_sample_images(data, label, mapp): plt.figure(figsize = (10,10)) row, colums = 4, 4 for i in range(16): plt.subplot(colums, row, i+1) index = randint(0, len(data)) plt.savefig("plot_pics/mnist_plot") plt.imshow(data[index], cmap='gray_r') # num = int(label[index]) # print(num) plt.title(int(label[index])) plt.show() """ builds and train the CNN Network to get a performant model for future predictions. """ def train_mnist(): train, test, mapp = load_mnist() (train_data, train_label), (test_data, test_label) = extract_datas(train, test) train_data, test_data = image_preprocessing(train_data, test_data) plot_sample_images(train_data, train_label, mapp) model = keras.Sequential([ keras.layers.Flatten(input_shape=(28, 28)), keras.layers.Dense(512, activation='relu'), keras.layers.Dense(512, activation='relu'), # relu f(x) = max(0, x). x = input. if (x<0) the x = 0. Else x = x keras.layers.Dense(10, activation='softmax') ]) model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy']) history = model.fit(train_data, train_label, epochs=10, validation_data=(test_data, test_label)) test_loss, test_acc = model.evaluate(test_data, test_label) print('Test accuracy:', test_acc) #saving the model save_dir = "results" model_name = "trained_mnist_model" model_path = os.path.join(save_dir, model_name) model.save(model_path) print('saved trained model at %s ', model_path) prediction = model.predict(test_data) return history, test_data, test_label def plot_metrics(history, test_data, test_label): fig = plt.figure() plt.subplot(2,1,1) plt.plot(history.history['accuracy']) plt.plot(history.history['val_accuracy']) plt.title('model accuracy') plt.ylabel('accuracy') plt.xlabel('epoch') plt.legend(['train', 'test'], loc='lower right') plt.show() plt.subplot(2,1,2) plt.plot(history.history['loss']) 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15-more-types/mysum.py	SeirousLee/example-code-2e	990	36170	import functools import operator from collections.abc import Iterable from typing import overload, Union, TypeVar T = TypeVar('T') S = TypeVar('S') # <1> @overload def sum(it: Iterable[T]) -> Union[T, int]: ... # <2> @overload def sum(it: Iterable[T], /, start: S) -> Union[T, S]: ... # <3> def sum(it, /, start=0): # <4> return functools.reduce(operator.add, it, start)	[ 1, 1053, 2090, 312, 8789, 13, 5215, 5455, 13, 3166, 16250, 29889, 10736, 1053, 20504, 519, 13, 3166, 19229, 1053, 975, 1359, 29892, 7761, 29892, 5167, 9037, 13, 13, 29911, 353, 5167, 9037, 877, 29911, 1495, 13, 29903, 353, 5167, 9037, 877, 29903, 1495, 29871, 396, 529, 29896, 29958, 13, 13, 29992, 957, 1359, 13, 1753, 2533, 29898, 277, 29901, 20504, 519, 29961, 29911, 2314, 1599, 7761, 29961, 29911, 29892, 938, 5387, 2023, 29871, 396, 529, 29906, 29958, 13, 29992, 957, 1359, 13, 1753, 2533, 29898, 277, 29901, 20504, 519, 29961, 29911, 1402, 847, 29892, 1369, 29901, 317, 29897, 1599, 7761, 29961, 29911, 29892, 317, 5387, 2023, 29871, 396, 529, 29941, 29958, 13, 1753, 2533, 29898, 277, 29892, 847, 29892, 1369, 29922, 29900, 1125, 29871, 396, 529, 29946, 29958, 13, 1678, 736, 2090, 312, 8789, 29889, 17469, 29898, 6891, 29889, 1202, 29892, 372, 29892, 1369, 29897, 13, 2 ]
sdp_2021_03/model/user.py	iproduct/intro-python	3	93327	<filename>sdp_2021_03/model/user.py from functools import total_ordering # from decorators import trace_get_attributes import decorators as dec # @dec.trace_get_attributes @total_ordering class User: next_id = 0 # @staticmethod # def increment_next_id(): # User.next_id += 1 @classmethod def increment_next_id(cls): cls.next_id += 1 def __init__(self, name, email, password, role = 'user'): self.__class__.increment_next_id() self.id = self.__class__.next_id self.name = name self.email = email self.password = password self.role = role def __str__(self): return f'ID: {self.id}, Name: {self.name}, Email: {self.email}, Role: {self.role}' def __repr__(self): return f'User[ ID: {self.id}, Name: {self.name}, Email: {self.email}, Role: {self.role}]' def __eq__(self, other): return self.id == other.id def __lt__(self, other): return (self.name, self.id) < (other.name, other.id) def check_password(self, password: str) -> bool: return password == <PASSWORD> class Author(User): def __init__(self, name, email, password, rank = 'beginner'): super().__init__(name, email, password, '<PASSWORD>') self.rank = rank def __str__(self): return f'Author({super().__str__()}, Rank: {self.rank})' class Admin(User): def __init__(self, name, email, password, phone): super().__init__(name, email, password, 'admin') self.phone = phone def __str__(self): return f'Admin({super().__str__()}, Phone: {self.phone})' default_admin = Admin('Admin Admin', '<EMAIL>', 'admin123', '35928976564') if __name__ == '__main__': users: list[User] = [ Author('I<NAME>', '<EMAIL>', '<PASSWORD>'), Admin('Admin Admin', '<EMAIL>', 'admin123', '35928976564'), Admin('<NAME>', '<EMAIL>', 'nadia123', '3592754632'), Admin('Admin Admin', '<EMAIL>', 'admin123', '3592897655'), ] for user in sorted(users): print(user) print(users[0].check_password('<PASSWORD>')) # True print(users[0].check_password('<PASSWORD>')) # False # print(users[0].__dict__) # print(User.__dict__)	[ 1, 529, 9507, 29958, 4928, 29886, 29918, 29906, 29900, 29906, 29896, 29918, 29900, 29941, 29914, 4299, 29914, 1792, 29889, 2272, 13, 3166, 2090, 312, 8789, 1053, 3001, 29918, 2098, 292, 13, 13, 29937, 515, 10200, 4097, 1053, 9637, 29918, 657, 29918, 15697, 13, 5215, 10200, 4097, 408, 1602, 13, 13, 29937, 732, 7099, 29889, 15003, 29918, 657, 29918, 15697, 13, 29992, 7827, 29918, 2098, 292, 13, 1990, 4911, 29901, 13, 1678, 2446, 29918, 333, 353, 29871, 29900, 13, 13, 1678, 396, 732, 7959, 5696, 13, 1678, 396, 822, 11924, 29918, 4622, 29918, 333, 7295, 13, 1678, 396, 268, 4911, 29889, 4622, 29918, 333, 4619, 29871, 29896, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 11924, 29918, 4622, 29918, 333, 29898, 25932, 1125, 13, 4706, 1067, 29879, 29889, 4622, 29918, 333, 4619, 29871, 29896, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 4876, 29892, 4800, 29892, 6297, 353, 525, 1792, 29374, 13, 4706, 1583, 17255, 1990, 26914, 25629, 29918, 4622, 29918, 333, 580, 13, 4706, 1583, 29889, 333, 353, 1583, 17255, 1990, 26914, 4622, 29918, 333, 13, 4706, 1583, 29889, 978, 353, 1024, 13, 4706, 1583, 29889, 5269, 353, 4876, 13, 4706, 1583, 29889, 5630, 353, 4800, 13, 4706, 1583, 29889, 12154, 353, 6297, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29915, 1367, 29901, 426, 1311, 29889, 333, 1118, 4408, 29901, 426, 1311, 29889, 978, 1118, 22608, 29901, 426, 1311, 29889, 5269, 1118, 1528, 280, 29901, 426, 1311, 29889, 12154, 10162, 13, 13, 1678, 822, 4770, 276, 558, 12035, 1311, 1125, 13, 4706, 736, 285, 29915, 2659, 29961, 3553, 29901, 426, 1311, 29889, 333, 1118, 4408, 29901, 426, 1311, 29889, 978, 1118, 22608, 29901, 426, 1311, 29889, 5269, 1118, 1528, 280, 29901, 426, 1311, 29889, 12154, 6525, 29915, 13, 13, 1678, 822, 4770, 1837, 12035, 1311, 29892, 916, 1125, 13, 4706, 736, 1583, 29889, 333, 1275, 916, 29889, 333, 13, 13, 1678, 822, 4770, 1896, 12035, 1311, 29892, 916, 1125, 13, 4706, 736, 313, 1311, 29889, 978, 29892, 1583, 29889, 333, 29897, 529, 313, 1228, 29889, 978, 29892, 916, 29889, 333, 29897, 13, 13, 1678, 822, 1423, 29918, 5630, 29898, 1311, 29892, 4800, 29901, 851, 29897, 1599, 6120, 29901, 13, 4706, 736, 4800, 1275, 529, 25711, 17013, 29958, 13, 13, 1990, 13361, 29898, 2659, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 4876, 29892, 4800, 29892, 7115, 353, 525, 463, 1089, 29374, 13, 4706, 2428, 2141, 1649, 2344, 12035, 978, 29892, 4876, 29892, 4800, 29892, 12801, 25711, 17013, 29958, 1495, 13, 4706, 1583, 29889, 10003, 353, 7115, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29915, 13720, 3319, 9136, 2141, 1649, 710, 1649, 580, 1118, 22125, 29901, 426, 1311, 29889, 10003, 1800, 29915, 13, 13, 1990, 10229, 29898, 2659, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1024, 29892, 4876, 29892, 4800, 29892, 9008, 1125, 13, 4706, 2428, 2141, 1649, 2344, 12035, 978, 29892, 4876, 29892, 4800, 29892, 525, 6406, 1495, 13, 4706, 1583, 29889, 6710, 353, 9008, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29915, 12754, 3319, 9136, 2141, 1649, 710, 1649, 580, 1118, 24323, 29901, 426, 1311, 29889, 6710, 1800, 29915, 13, 13, 4381, 29918, 6406, 353, 10229, 877, 12754, 10229, 742, 12801, 26862, 6227, 29958, 742, 525, 6406, 29896, 29906, 29941, 742, 525, 29941, 29945, 29929, 29906, 29947, 29929, 29955, 29953, 29945, 29953, 29946, 1495, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 4160, 29901, 1051, 29961, 2659, 29962, 353, 518, 13, 4706, 13361, 877, 29902, 29966, 5813, 29958, 742, 12801, 26862, 6227, 29958, 742, 12801, 25711, 17013, 29958, 5477, 13, 4706, 10229, 877, 12754, 10229, 742, 12801, 26862, 6227, 29958, 742, 525, 6406, 29896, 29906, 29941, 742, 525, 29941, 29945, 29929, 29906, 29947, 29929, 29955, 29953, 29945, 29953, 29946, 5477, 13, 4706, 10229, 877, 29966, 5813, 29958, 742, 12801, 26862, 6227, 29958, 742, 525, 28486, 423, 29896, 29906, 29941, 742, 525, 29941, 29945, 29929, 29906, 29955, 29945, 29946, 29953, 29941, 29906, 5477, 13, 4706, 10229, 877, 12754, 10229, 742, 12801, 26862, 6227, 29958, 742, 525, 6406, 29896, 29906, 29941, 742, 525, 29941, 29945, 29929, 29906, 29947, 29929, 29955, 29953, 29945, 29945, 5477, 13, 13, 1678, 4514, 13, 13, 1678, 363, 1404, 297, 12705, 29898, 7193, 1125, 13, 4706, 1596, 29898, 1792, 29897, 13, 13, 1678, 1596, 29898, 7193, 29961, 29900, 1822, 3198, 29918, 5630, 877, 29966, 25711, 17013, 29958, 8785, 396, 5852, 13, 1678, 1596, 29898, 7193, 29961, 29900, 1822, 3198, 29918, 5630, 877, 29966, 25711, 17013, 29958, 8785, 396, 7700, 13, 1678, 396, 1596, 29898, 7193, 29961, 29900, 1822, 1649, 8977, 1649, 29897, 13, 1678, 396, 1596, 29898, 2659, 17255, 8977, 1649, 29897, 13, 2 ]
prickly-pufferfish/python_questions/merge_ranges.py	Vthechamp22/summer-code-jam-2021	40	24595	<filename>prickly-pufferfish/python_questions/merge_ranges.py """ In HiCal, a meeting is stored as tuples of integers (start_time, end_time). / These integers represent the number of 30-minute blocks past 9:00am. / For example: / (2, 3) # meeting from 10:00 - 10:30 am / (6, 9) # meeting from 12:00 - 1:30 pm / Write a function merge_ranges() that / takes a list of meeting time ranges as a parameter / and returns a list of condensed ranges. / >>> merge_ranges([(3, 5), (4, 8), (10, 12), (9, 10), (0, 1)]) / [(0, 1), (3, 8), (9, 12)] / >>> merge_ranges([(0, 3), (3, 5), (4, 8), (10, 12), (9, 10)]) / [(0, 8), (9, 12)] / >>> merge_ranges([(0, 3), (3, 5)]) / [(0, 5)] / >>> merge_ranges([(0, 3), (3, 5), (7, 8)]) / [(0, 5), (7, 8)] / >>> merge_ranges([(1, 5), (2, 3)]) / [(1, 5)] / """	[ 1, 529, 9507, 29958, 558, 860, 368, 29899, 29886, 3043, 15161, 29914, 4691, 29918, 2619, 29914, 14634, 29918, 29878, 6916, 29889, 2272, 13, 15945, 29908, 13, 797, 6324, 7856, 29892, 263, 11781, 338, 6087, 408, 5291, 2701, 310, 11920, 313, 2962, 29918, 2230, 29892, 1095, 29918, 2230, 467, 847, 13, 1349, 968, 11920, 2755, 278, 1353, 310, 29871, 29941, 29900, 29899, 1195, 1082, 10930, 4940, 29871, 29929, 29901, 29900, 29900, 314, 29889, 847, 13, 2831, 1342, 29901, 847, 13, 29898, 29906, 29892, 29871, 29941, 29897, 396, 11781, 515, 29871, 29896, 29900, 29901, 29900, 29900, 448, 29871, 29896, 29900, 29901, 29941, 29900, 626, 847, 13, 29898, 29953, 29892, 29871, 29929, 29897, 396, 11781, 515, 29871, 29896, 29906, 29901, 29900, 29900, 448, 29871, 29896, 29901, 29941, 29900, 26354, 847, 13, 6113, 263, 740, 10366, 29918, 29878, 6916, 580, 393, 847, 13, 29873, 6926, 263, 1051, 310, 11781, 931, 20238, 408, 263, 3443, 847, 13, 392, 3639, 263, 1051, 310, 2148, 21144, 20238, 29889, 847, 13, 13, 6778, 29958, 10366, 29918, 29878, 6916, 4197, 29898, 29941, 29892, 29871, 29945, 511, 313, 29946, 29892, 29871, 29947, 511, 313, 29896, 29900, 29892, 29871, 29896, 29906, 511, 313, 29929, 29892, 29871, 29896, 29900, 511, 313, 29900, 29892, 29871, 29896, 29897, 2314, 847, 13, 15625, 29900, 29892, 29871, 29896, 511, 313, 29941, 29892, 29871, 29947, 511, 313, 29929, 29892, 29871, 29896, 29906, 4638, 847, 13, 13, 6778, 29958, 10366, 29918, 29878, 6916, 4197, 29898, 29900, 29892, 29871, 29941, 511, 313, 29941, 29892, 29871, 29945, 511, 313, 29946, 29892, 29871, 29947, 511, 313, 29896, 29900, 29892, 29871, 29896, 29906, 511, 313, 29929, 29892, 29871, 29896, 29900, 29897, 2314, 847, 13, 15625, 29900, 29892, 29871, 29947, 511, 313, 29929, 29892, 29871, 29896, 29906, 4638, 847, 13, 13, 6778, 29958, 10366, 29918, 29878, 6916, 4197, 29898, 29900, 29892, 29871, 29941, 511, 313, 29941, 29892, 29871, 29945, 29897, 2314, 847, 13, 15625, 29900, 29892, 29871, 29945, 4638, 847, 13, 13, 6778, 29958, 10366, 29918, 29878, 6916, 4197, 29898, 29900, 29892, 29871, 29941, 511, 313, 29941, 29892, 29871, 29945, 511, 313, 29955, 29892, 29871, 29947, 29897, 2314, 847, 13, 15625, 29900, 29892, 29871, 29945, 511, 313, 29955, 29892, 29871, 29947, 4638, 847, 13, 13, 6778, 29958, 10366, 29918, 29878, 6916, 4197, 29898, 29896, 29892, 29871, 29945, 511, 313, 29906, 29892, 29871, 29941, 29897, 2314, 847, 13, 15625, 29896, 29892, 29871, 29945, 4638, 847, 13, 15945, 29908, 13, 2 ]
dataset/semi.py	lanyinemt2/ST-PlusPlus	73	41473	from dataset.transform import crop, hflip, normalize, resize, blur, cutout import math import os from PIL import Image import random from torch.utils.data import Dataset from torchvision import transforms class SemiDataset(Dataset): def __init__(self, name, root, mode, size, labeled_id_path=None, unlabeled_id_path=None, pseudo_mask_path=None): """ :param name: dataset name, pascal or cityscapes :param root: root path of the dataset. :param mode: train: supervised learning only with labeled images, no unlabeled images are leveraged. label: pseudo labeling the remaining unlabeled images. semi_train: semi-supervised learning with both labeled and unlabeled images. val: validation. :param size: crop size of training images. :param labeled_id_path: path of labeled image ids, needed in train or semi_train mode. :param unlabeled_id_path: path of unlabeled image ids, needed in semi_train or label mode. :param pseudo_mask_path: path of generated pseudo masks, needed in semi_train mode. """ self.name = name self.root = root self.mode = mode self.size = size self.pseudo_mask_path = pseudo_mask_path if mode == 'semi_train': with open(labeled_id_path, 'r') as f: self.labeled_ids = f.read().splitlines() with open(unlabeled_id_path, 'r') as f: self.unlabeled_ids = f.read().splitlines() self.ids = \ self.labeled_ids * math.ceil(len(self.unlabeled_ids) / len(self.labeled_ids)) + self.unlabeled_ids else: if mode == 'val': id_path = 'dataset/splits/%s/val.txt' % name elif mode == 'label': id_path = unlabeled_id_path elif mode == 'train': id_path = labeled_id_path with open(id_path, 'r') as f: self.ids = f.read().splitlines() def __getitem__(self, item): id = self.ids[item] img = Image.open(os.path.join(self.root, id.split(' ')[0])) if self.mode == 'val' or self.mode == 'label': mask = Image.open(os.path.join(self.root, id.split(' ')[1])) img, mask = normalize(img, mask) return img, mask, id if self.mode == 'train' or (self.mode == 'semi_train' and id in self.labeled_ids): mask = Image.open(os.path.join(self.root, id.split(' ')[1])) else: # mode == 'semi_train' and the id corresponds to unlabeled image fname = os.path.basename(id.split(' ')[1]) mask = Image.open(os.path.join(self.pseudo_mask_path, fname)) # basic augmentation on all training images base_size = 400 if self.name == 'pascal' else 2048 img, mask = resize(img, mask, base_size, (0.5, 2.0)) img, mask = crop(img, mask, self.size) img, mask = hflip(img, mask, p=0.5) # strong augmentation on unlabeled images if self.mode == 'semi_train' and id in self.unlabeled_ids: if random.random() < 0.8: img = transforms.ColorJitter(0.5, 0.5, 0.5, 0.25)(img) img = transforms.RandomGrayscale(p=0.2)(img) img = blur(img, p=0.5) img, mask = cutout(img, mask, p=0.5) img, mask = normalize(img, mask) return img, mask def __len__(self): return len(self.ids)	[ 1, 515, 8783, 29889, 9067, 1053, 274, 1336, 29892, 298, 29888, 3466, 29892, 4226, 675, 29892, 19490, 29892, 1999, 332, 29892, 5700, 449, 13, 13, 5215, 5844, 13, 5215, 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R_3_1_1.py	meissnert/StarCluster-Plugins	1	63019	from starcluster.clustersetup import ClusterSetup from starcluster.logger import log class RInstaller(ClusterSetup): def run(self, nodes, master, user, user_shell, volumes): for node in nodes: log.info("Installing R 3.1.1 on %s" % (node.alias)) log.info("...installing dependencies") node.ssh.execute('apt-get install -y libreadline-dev ncurses-dev libpng-dev texinfo texlive texlive-base luatex texlive-latex-base texlive-luatex texlive-extra-utils texlive-latex-recommended texlive-fonts-extra freetype* libxml2 libxml2-dev libpng12-dev libcurl4-openssl-dev tk-dev xterm') node.ssh.execute('apt-get install -y libgtk2.0-dev xorg-dev') log.info("...dependencies installed --> --> downloading R") node.ssh.execute('wget -c -P /opt/software/R http://cran.us.r-project.org/src/base/R-3/R-3.1.1.tar.gz') log.info("...R has downloaded --> decompressing files") node.ssh.execute('tar xvzf /opt/software/R/R-3.1.1.tar.gz -C /opt/software/R') log.info("...files decompressed --> running ./configure") node.ssh.execute('cd /opt/software/R/R-3.1.1 && ./configure --with-lapack --with-blas --with-pic --enable-threads --with-x=yes --enable-R-shlib --with-libpng --with-jpeglib --with-recommended-packages=yes') log.info("...configure has finished --> running make") node.ssh.execute('make -C /opt/software/R/R-3.1.1') log.info("...make has finished --> creating modulefiles") node.ssh.execute('mkdir -p /usr/local/Modules/applications/R/;touch /usr/local/Modules/applications/R/3.1.1') node.ssh.execute('echo "#%Module" >> /usr/local/Modules/applications/R/3.1.1') node.ssh.execute('echo "set root /opt/software/R/R-3.1.1" >> /usr/local/Modules/applications/R/3.1.1') node.ssh.execute('echo -e "prepend-path\tPATH\t\$root/bin" >> /usr/local/Modules/applications/R/3.1.1') log.info("...installing R packages") log.info("...installing packages from CRAN") node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/Rprofile') node.ssh.execute('cp /opt/software/R/Rprofile ~/.Rprofile') node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/packages_cran.R') node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/packages_bioc_1.R') node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/packages_bioc_2.R') node.ssh.execute('module load R/3.1.1 && Rscript /opt/software/R/packages_cran.R') log.info("...CRAN packages have been installed --> installing BioConductor packages") node.ssh.execute('module load R/3.1.1 && Rscript /opt/software/R/packages_bioc_1.R') log.info("...BioConductor1 packages have been installed") node.ssh.execute('module load R/3.1.1 && Rscript /opt/software/R/packages_bioc_2.R') log.info("...BioConductor2 packages have been installed")	[ 1, 515, 5810, 19594, 29889, 695, 504, 24197, 786, 1053, 2233, 5402, 26947, 13, 3166, 5810, 19594, 29889, 21707, 1053, 1480, 13, 13, 1990, 390, 3379, 12572, 29898, 6821, 5402, 26947, 1125, 13, 12, 1753, 1065, 29898, 1311, 29892, 7573, 29892, 5835, 29892, 1404, 29892, 1404, 29918, 15903, 29892, 18167, 1125, 13, 12, 12, 1454, 2943, 297, 7573, 29901, 13, 12, 12, 12, 1188, 29889, 3888, 703, 23271, 292, 390, 29871, 29941, 29889, 29896, 29889, 29896, 373, 1273, 29879, 29908, 1273, 313, 3177, 29889, 19973, 876, 13, 12, 12, 12, 1188, 29889, 3888, 703, 856, 6252, 292, 9962, 1159, 13, 12, 12, 12, 3177, 29889, 15269, 29889, 7978, 877, 2156, 29899, 657, 2601, 448, 29891, 4303, 949, 1220, 29899, 3359, 302, 29883, 1295, 267, 29899, 3359, 4303, 2732, 29899, 3359, 19696, 3888, 19696, 9258, 19696, 9258, 29899, 3188, 8092, 403, 29916, 19696, 9258, 29899, 25694, 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rpyc/core/netref.py	fruch/rpyc	0	28347	<gh_stars>0 """ NetRef - transparent network references implementation. """ import sys import inspect import types import cPickle as pickle from rpyc.core import consts _local_netref_attrs = frozenset([ '____conn__', '____oid__', '__class__', '__cmp__', '__del__', '__delattr__', '__dir__', '__doc__', '__getattr__', '__getattribute__', '__hash__', '__init__', '__metaclass__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__slots__', '__str__', '__weakref__', '__dict__', '__members__', '__methods__', ]) _builtin_types = [ type, object, types.InstanceType, types.ClassType, bool, complex, dict, file, float, int, list, long, slice, str, basestring, tuple, unicode, str, set, frozenset, Exception, types.NoneType, types.DictProxyType, types.BuiltinFunctionType, types.GeneratorType, types.MethodType, types.CodeType, types.FrameType, types.TracebackType, xrange, types.ModuleType, types.FunctionType, type(int.__add__), # wrapper_descriptor type((1).__add__), # method-wrapper type(iter([])), # listiterator type(iter(())), # tupleiterator type(iter(xrange(10))), # rangeiterator type(iter(set())), # setiterator ] _normalized_builtin_types = dict(((t.__name__, t.__module__), t) for t in _builtin_types) def syncreq(proxy, handler, args): """performs a synchronous request on the given proxy object""" conn = object.__getattribute__(proxy, "____conn__") oid = object.__getattribute__(proxy, "____oid__") return conn().sync_request(handler, oid, args) def asyncreq(proxy, handler, args): """performs an asynchronous request on the given proxy object, retuning an AsyncResult""" conn = object.__getattribute__(proxy, "____conn__") oid = object.__getattribute__(proxy, "____oid__") return conn().async_request(handler, oid, args) class NetrefMetaclass(type): """a metaclass just to customize the __repr__ of netref classes""" __slots__ = () def __repr__(self): if self.__module__: return "<netref class '%s.%s'>" % (self.__module__, self.__name__) else: return "<netref class '%s'>" % (self.__name__,) class BaseNetref(object): """the base netref object, from which all netref classes derive""" __metaclass__ = NetrefMetaclass __slots__ = ["____conn__", "____oid__", "__weakref__"] def __init__(self, conn, oid): self.____conn__ = conn self.____oid__ = oid def __del__(self): try: asyncreq(self, consts.HANDLE_DEL) except Exception: # raised in a destructor, most likely on program termination, # it's safe to ignore all exceptions here pass def __getattribute__(self, name): if name in _local_netref_attrs: if name == "__class__": cls = object.__getattribute__(self, "__class__") if cls is None: cls = self.__getattr__("__class__") return cls elif name == "__doc__": return self.__getattr__("__doc__") elif name == "__members__": # for Python < 2.6 return self.__dir__() else: return object.__getattribute__(self, name) elif name == "__call__": # IronPython issue #10 return object.__getattribute__(self, "__call__") else: return syncreq(self, consts.HANDLE_GETATTR, name) def __getattr__(self, name): return syncreq(self, consts.HANDLE_GETATTR, name) def __delattr__(self, name): if name in _local_netref_attrs: object.__delattr__(self, name) else: syncreq(self, consts.HANDLE_DELATTR, name) def __setattr__(self, name, value): if name in _local_netref_attrs: object.__setattr__(self, name, value) else: syncreq(self, consts.HANDLE_SETATTR, name, value) def __dir__(self): return list(syncreq(self, consts.HANDLE_DIR)) # support for metaclasses def __hash__(self): return syncreq(self, consts.HANDLE_HASH) def __cmp__(self, other): return syncreq(self, consts.HANDLE_CMP, other) def __repr__(self): return syncreq(self, consts.HANDLE_REPR) def __str__(self): return syncreq(self, consts.HANDLE_STR) # support for pickle def __reduce_ex__(self, proto): return pickle.loads, (syncreq(self, consts.HANDLE_PICKLE, proto),) def _make_method(name, doc): name = str(name) # IronPython issue #10 if name == "__call__": def __call__(_self, args, kwargs): kwargs = tuple(kwargs.items()) return syncreq(_self, consts.HANDLE_CALL, args, kwargs) __call__.__doc__ = doc return __call__ else: def method(_self, args, **kwargs): kwargs = tuple(kwargs.items()) return syncreq(_self, consts.HANDLE_CALLATTR, name, args, kwargs) method.__name__ = name method.__doc__ = doc return method def inspect_methods(obj): """returns a list of (method name, docstring) tuples of all the methods of the given object""" methods = {} attrs = {} if isinstance(obj, type): # don't forget the darn metaclass mros = list(reversed(type(obj).__mro__)) + list(reversed(obj.__mro__)) else: mros = reversed(type(obj).__mro__) for basecls in mros: attrs.update(basecls.__dict__) for name, attr in attrs.iteritems(): if name not in _local_netref_attrs and hasattr(attr, "__call__"): methods[name] = inspect.getdoc(attr) return methods.items() def class_factory(clsname, modname, methods): clsname = str(clsname) # IronPython issue #10 modname = str(modname) # IronPython issue #10 ns = {"__slots__" : ()} for name, doc in methods: name = str(name) # IronPython issue #10 if name not in _local_netref_attrs: ns[name] = _make_method(name, doc) ns["__module__"] = modname if modname in sys.modules and hasattr(sys.modules[modname], clsname): ns["__class__"] = getattr(sys.modules[modname], clsname) elif (clsname, modname) in _normalized_builtin_types: ns["__class__"] = _normalized_builtin_types[clsname, modname] else: # to be resolved by the instance ns["__class__"] = None return type(clsname, (BaseNetref,), ns) builtin_classes_cache = {} for cls in _builtin_types: builtin_classes_cache[cls.__name__, cls.__module__] = class_factory( cls.__name__, cls.__module__, inspect_methods(cls))	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 15945, 29908, 13, 6779, 5620, 448, 17772, 3564, 9282, 5314, 29889, 13, 15945, 29908, 13, 5215, 10876, 13, 5215, 16096, 13, 5215, 4072, 13, 5215, 274, 29925, 860, 280, 408, 5839, 280, 13, 13, 3166, 364, 2272, 29883, 29889, 3221, 1053, 1040, 29879, 13, 13, 29918, 2997, 29918, 1212, 999, 29918, 5552, 29879, 353, 14671, 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17534, 3366, 1649, 1990, 1649, 3108, 353, 903, 8945, 1891, 29918, 16145, 262, 29918, 8768, 29961, 25932, 978, 29892, 878, 978, 29962, 13, 1678, 1683, 29901, 13, 4706, 396, 304, 367, 11527, 491, 278, 2777, 13, 4706, 17534, 3366, 1649, 1990, 1649, 3108, 353, 6213, 13, 1678, 736, 1134, 29898, 25932, 978, 29892, 313, 5160, 6779, 999, 29892, 511, 17534, 29897, 13, 13, 16145, 262, 29918, 13203, 29918, 8173, 353, 6571, 13, 1454, 1067, 29879, 297, 903, 16145, 262, 29918, 8768, 29901, 13, 1678, 4240, 262, 29918, 13203, 29918, 8173, 29961, 25932, 17255, 978, 1649, 29892, 1067, 29879, 17255, 5453, 1649, 29962, 353, 770, 29918, 14399, 29898, 13, 4706, 1067, 29879, 17255, 978, 1649, 29892, 1067, 29879, 17255, 5453, 1649, 29892, 16096, 29918, 23515, 29898, 25932, 876, 13, 2 ]
server_util/resource_manager.py	igushev/fase_lib	7	52197	import functools import os from fase_lib.base_util import singleton_util TEMPLATE_SYMBOL = '@' PIXEL_DENSITY_STEP = 0.25 PIXEL_DENSITY_MIN = 0 PIXEL_DENSITY_MAX = 10 @singleton_util.Singleton() class ResourceManager(): def __init__(self, resource_dir): self.resource_dir = resource_dir def GetResourceDir(self): return self.resource_dir @functools.lru_cache(maxsize=None, typed=True) def GetResourceFilename(self, filename, pixel_density): if TEMPLATE_SYMBOL in filename: return self.ResolveResourceFilename(filename, pixel_density) if os.path.isfile(os.path.join(self.resource_dir, filename)): return filename return None def ResolveResourceFilename(self, filename_template, pixel_density): assert pixel_density % PIXEL_DENSITY_STEP == 0 for direction in [-1, 1]: current_pixel_density = pixel_density while ((direction == -1 and current_pixel_density > PIXEL_DENSITY_MIN) or (direction == 1 and current_pixel_density < PIXEL_DENSITY_MAX)): current_pixel_density_str = ('%.2f' % current_pixel_density).replace('.', '_') filename = filename_template.replace(TEMPLATE_SYMBOL, current_pixel_density_str) if os.path.isfile(os.path.join(self.resource_dir, filename)): return filename current_pixel_density += PIXEL_DENSITY_STEP * direction return None	[ 1, 1053, 2090, 312, 8789, 13, 5215, 2897, 13, 13, 3166, 20851, 29918, 1982, 29889, 3188, 29918, 4422, 1053, 27130, 29918, 4422, 13, 13, 4330, 3580, 29931, 3040, 29918, 14816, 9486, 5607, 353, 18803, 29915, 13, 2227, 29990, 6670, 29918, 29928, 1430, 29903, 11937, 29918, 1254, 15488, 353, 29871, 29900, 29889, 29906, 29945, 13, 2227, 29990, 6670, 29918, 29928, 1430, 29903, 11937, 29918, 16173, 353, 29871, 29900, 13, 2227, 29990, 6670, 29918, 29928, 1430, 29903, 11937, 29918, 12648, 353, 29871, 29896, 29900, 13, 13, 13, 29992, 2976, 11285, 29918, 4422, 29889, 10873, 11285, 580, 13, 1990, 18981, 3260, 7295, 13, 13, 29871, 822, 4770, 2344, 12035, 1311, 29892, 6503, 29918, 3972, 1125, 13, 1678, 1583, 29889, 10314, 29918, 3972, 353, 6503, 29918, 3972, 13, 13, 29871, 822, 3617, 6848, 9170, 29898, 1311, 1125, 13, 1678, 736, 1583, 29889, 10314, 29918, 3972, 13, 13, 29871, 732, 7692, 312, 8789, 29889, 29880, 582, 29918, 8173, 29898, 3317, 2311, 29922, 8516, 29892, 13033, 29922, 5574, 29897, 13, 29871, 822, 3617, 6848, 3434, 3871, 29898, 1311, 29892, 10422, 29892, 15526, 29918, 21518, 537, 1125, 13, 1678, 565, 17067, 3580, 29931, 3040, 29918, 14816, 9486, 5607, 297, 10422, 29901, 13, 418, 736, 1583, 29889, 12375, 345, 6848, 3434, 3871, 29898, 9507, 29892, 15526, 29918, 21518, 537, 29897, 13, 1678, 565, 2897, 29889, 2084, 29889, 275, 1445, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1311, 29889, 10314, 29918, 3972, 29892, 10422, 22164, 13, 418, 736, 10422, 13, 1678, 736, 6213, 13, 259, 13, 29871, 822, 24062, 345, 6848, 3434, 3871, 29898, 1311, 29892, 10422, 29918, 6886, 29892, 15526, 29918, 21518, 537, 1125, 13, 1678, 4974, 15526, 29918, 21518, 537, 1273, 349, 6415, 6670, 29918, 29928, 1430, 29903, 11937, 29918, 1254, 15488, 1275, 29871, 29900, 13, 1678, 363, 5305, 297, 21069, 29896, 29892, 29871, 29896, 5387, 13, 418, 1857, 29918, 29886, 15711, 29918, 21518, 537, 353, 15526, 29918, 21518, 537, 13, 418, 1550, 5135, 20845, 1275, 448, 29896, 322, 1857, 29918, 29886, 15711, 29918, 21518, 537, 1405, 349, 6415, 6670, 29918, 29928, 1430, 29903, 11937, 29918, 16173, 29897, 470, 13, 632, 313, 20845, 1275, 29871, 29896, 322, 1857, 29918, 29886, 15711, 29918, 21518, 537, 529, 349, 6415, 6670, 29918, 29928, 1430, 29903, 11937, 29918, 12648, 22164, 13, 4706, 1857, 29918, 29886, 15711, 29918, 21518, 537, 29918, 710, 353, 6702, 15543, 29906, 29888, 29915, 1273, 1857, 29918, 29886, 15711, 29918, 21518, 537, 467, 6506, 12839, 742, 22868, 1495, 13, 4706, 10422, 353, 10422, 29918, 6886, 29889, 6506, 29898, 4330, 3580, 29931, 3040, 29918, 14816, 9486, 5607, 29892, 1857, 29918, 29886, 15711, 29918, 21518, 537, 29918, 710, 29897, 13, 4706, 565, 2897, 29889, 2084, 29889, 275, 1445, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1311, 29889, 10314, 29918, 3972, 29892, 10422, 22164, 13, 3986, 736, 10422, 13, 4706, 1857, 29918, 29886, 15711, 29918, 21518, 537, 4619, 349, 6415, 6670, 29918, 29928, 1430, 29903, 11937, 29918, 1254, 15488, 334, 5305, 13, 1678, 736, 6213, 13, 2 ]
adder_python/adder.py	ToolPilotNeural/new_repo	0	99641	<filename>adder_python/adder.py import math def add_two_numbers(a, b) -> int: return a + b def subtract_two_numbers(a, b) -> int: return a - b def multiply_two_numbers(a, b) -> int: return a * b def divide_two_numbers(a, b) -> int: try: return a/b except ZeroDivisionError: print('You cannot divide a number by zero') return None	[ 1, 529, 9507, 29958, 328, 672, 29918, 4691, 29914, 328, 672, 29889, 2272, 13, 5215, 5844, 13, 13, 13, 1753, 788, 29918, 10184, 29918, 20326, 29898, 29874, 29892, 289, 29897, 1599, 938, 29901, 13, 1678, 736, 263, 718, 289, 13, 13, 1753, 23197, 29918, 10184, 29918, 20326, 29898, 29874, 29892, 289, 29897, 1599, 938, 29901, 13, 1678, 736, 263, 448, 289, 13, 13, 1753, 22932, 29918, 10184, 29918, 20326, 29898, 29874, 29892, 289, 29897, 1599, 938, 29901, 13, 1678, 736, 263, 334, 289, 13, 13, 1753, 16429, 29918, 10184, 29918, 20326, 29898, 29874, 29892, 289, 29897, 1599, 938, 29901, 13, 1678, 1018, 29901, 13, 4706, 736, 263, 29914, 29890, 13, 13, 1678, 5174, 28933, 12596, 2459, 2392, 29901, 13, 4706, 1596, 877, 3492, 2609, 16429, 263, 1353, 491, 5225, 1495, 13, 4706, 736, 6213, 13, 2 ]
BookClub/views/action_views.py	amir-rahim/BookClubSocialNetwork	4	151727	<filename>BookClub/views/action_views.py """Action related views.""" from django.contrib import messages from django.contrib.auth.mixins import LoginRequiredMixin from django.shortcuts import redirect from django.views.generic import TemplateView, View from django.core.exceptions import ObjectDoesNotExist from BookClub.helpers import * from BookClub.models import Club, User, ClubMembership class ActionView(TemplateView): """Class for views that make an action.""" def get(self, request, args, kwargs): return redirect('home') def post(self, request, args, *kwargs): """ Handle post request Args: request (Django Request): The request we have received """ try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user target_user = User.objects.get(username=self.request.POST.get('user')) except ObjectDoesNotExist: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location, kwargs['club_url_name']) if self.is_actionable(current_user, target_user, club): self.action(current_user, target_user, club) else: self.is_not_actionable(current_user, target_user, club) return redirect(self.redirect_location, kwargs['club_url_name']) def is_actionable(self, current_user, target_user, club): """Check if the action is legal.""" raise NotImplementedError("This method isn't implemented yet.") # pragma: no cover def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Runs the action.""" raise NotImplementedError("This method isn't implemented yet.") # pragma: no cover class PromoteMemberView(LoginRequiredMixin, ActionView): """Promoting a member to a moderator.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if member can be promoted.""" return (has_owner_rank(current_user, club) and has_member_rank(target_user, club)) def action(self, current_user, target_user, club): """Promotes the member to moderator.""" messages.success(self.request, f"You have successfully promoted the member.") set_rank(target_user, club, ClubMembership.UserRoles.MODERATOR) def post(self, request, args, *kwargs): return super().post(self, request, args, *kwargs) class DemoteMemberView(LoginRequiredMixin, ActionView): """Demoting a moderator to a member.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if moderator can be demoted.""" return has_owner_rank(current_user, club) and has_moderator_rank(target_user, club) def action(self, current_user, target_user, club): """Demote moderator to a member.""" messages.success(self.request, f"You have successfully demoted the moderator.") set_rank(target_user, club, ClubMembership.UserRoles.MEMBER) def post(self, request, args, *kwargs): return super().post(self, request, args, *kwargs) class ApproveApplicantView(LoginRequiredMixin, ActionView): """Approving an applicant to a member.""" redirect_location = 'applicant_list' def is_actionable(self, current_user, target_user, club): """Check if applicant can be approved.""" return ((has_owner_rank(current_user, club) or has_moderator_rank(current_user, club)) and has_applicant_rank( target_user, club)) def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" redirect_location = 'home' messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Approves the applicant to a member.""" messages.success(self.request, f"You have successfully approved the applicant.") set_rank(target_user, club, ClubMembership.UserRoles.MEMBER) def post(self, request, args, *kwargs): return super().post(self, request, args, *kwargs) class RejectApplicantView(LoginRequiredMixin, ActionView): """Rejecting an applicant""" redirect_location = 'applicant_list' def is_actionable(self, current_user, target_user, club): """Check if applicant can be rejected.""" return ((has_owner_rank(current_user, club) or has_moderator_rank(current_user, club)) and has_applicant_rank( target_user, club)) def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" redirect_location = 'home' messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Rejects the applicant""" messages.success(self.request, f"You have successfully rejected the applicant.") remove_from_club(target_user, club) def post(self, request, args, *kwargs): return super().post(self, request, args, *kwargs) class KickMemberView(LoginRequiredMixin, ActionView): """Kicks the target user from the club.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if currentUser can kick targetUser.""" return can_kick(club, current_user, target_user) def action(self, current_user, target_user, club): """Kick the targetUser.""" messages.success(self.request, f"You have successfully kicked the member.") remove_from_club(target_user, club) def post(self, request, args, *kwargs): return super().post(self, request, args, *kwargs) class TransferOwnershipView(LoginRequiredMixin, ActionView): """Transfer ownership of a club to another moderator.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if the ownership can be transferred to a valid moderator.""" return has_owner_rank(current_user, club) and has_moderator_rank(target_user, club) def action(self, current_user, target_user, club): """Transfer ownership to moderator and demote owner to moderator.""" messages.success(self.request, f"You have transferred the ownership successfully.") set_rank(target_user, club, ClubMembership.UserRoles.OWNER) set_rank(current_user, club, ClubMembership.UserRoles.MODERATOR) def post(self, request, args, *kwargs): return super().post(self, request, args, *kwargs) class JoinClubView(LoginRequiredMixin, View): """Users can join/apply to clubs.""" redirect_location = 'available_clubs' def get(self, request, args, *kwargs): return redirect(self.redirect_location) def is_actionable(self, current_user, club): """Check if user can join/apply to a club.""" return not has_membership(club, current_user) def is_not_actionable(self, current_user, club): """If user has a membership with the club already.""" if club.is_private: messages.info(self.request, "You have already applied to this club.") else: messages.info(self.request, "You are already a member of this club.") def action(self, current_user, club): """Create membership for user with the club depending on privacy.""" if club.is_private: create_membership(club, current_user, ClubMembership.UserRoles.APPLICANT) messages.success(self.request, "Application to club successful.") else: create_membership(club, current_user, ClubMembership.UserRoles.MEMBER) messages.success(self.request, "You have joined the club.") def post(self, request, args, *kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user except: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location) if (self.is_actionable(current_user, club)): self.action(current_user, club) else: self.is_not_actionable(current_user, club) return redirect(self.redirect_location) class LeaveClubView(LoginRequiredMixin, View): """User can leave a club.""" redirect_location = 'my_club_memberships' def get(self, request, args, *kwargs): return redirect(self.redirect_location) def is_actionable(self, current_user, club): """Check if currentUser is in the club.""" return (has_membership(club, current_user) or has_applicant_rank(current_user, club)) and not (has_owner_rank(current_user, club)) def is_not_actionable(self, current_user, club): """User cannot leave club if they are the owner.""" if has_owner_rank(current_user, club): messages.error(self.request, "The owner of the club cannot leave.") def action(self, current_user, club): """User leaves the club, membership with the club is deleted.""" messages.success(self.request, "You have left the club.") remove_from_club(current_user, club) def post(self, request, args, *kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user except: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location) if (self.is_actionable(current_user, club)): self.action(current_user, club) else: self.is_not_actionable(current_user, club) return redirect(self.redirect_location) class DeleteClubView(LoginRequiredMixin, View): """User can delete a club.""" redirect_location = 'available_clubs' def is_actionable(self, current_user, club): """Only allow the owner of a club to delete it.""" return has_owner_rank(current_user, club) def is_not_actionable(self): messages.error(self.request, f"You are not allowed to delete the club!") def action(self, current_user, club): club.delete() messages.success(self.request, "You have deleted the club.") def post(self, request, args, **kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user if self.is_actionable(current_user, club): self.action(current_user, club) return redirect(self.redirect_location) else: self.is_not_actionable() except: messages.error(self.request, "Error, user or club not found.") return redirect('home')	[ 1, 529, 9507, 29958, 10967, 6821, 431, 29914, 7406, 29914, 2467, 29918, 7406, 29889, 2272, 13, 15945, 29908, 4276, 4475, 8386, 1213, 15945, 13, 3166, 9557, 29889, 21570, 1053, 7191, 13, 3166, 9557, 29889, 21570, 29889, 5150, 29889, 28084, 1144, 1053, 19130, 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managers/search_indexes.py	naderm/farnsworth	0	70900	''' Project: Farnsworth Author: <NAME> Search indexes for the managers app. ''' from datetime import datetime from haystack import indexes from managers.models import Manager, Request, Response, Announcement class ManagerIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Managers. ''' text = indexes.EdgeNgramField(document=True, use_template=True) title = indexes.EdgeNgramField(model_attr='title', boost=2) exact_manager = indexes.CharField(model_attr='title', faceted=True) incumbent = indexes.EdgeNgramField(model_attr='incumbent', null=True) exact_user = indexes.CharField(model_attr='incumbent', faceted=True, null=True) compensation = indexes.EdgeNgramField(model_attr='compensation', null=True) duties = indexes.EdgeNgramField(model_attr='duties', null=True) email = indexes.EdgeNgramField(model_attr='email', null=True) exact_email = indexes.CharField(model_attr='email', faceted=True, null=True) def get_model(self): return Manager def index_queryset(self, using=None): return self.get_model().objects.filter(active=True) class RequestIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Requests. ''' text = indexes.EdgeNgramField(document=True, use_template=True) owner = indexes.EdgeNgramField(model_attr='owner') exact_user = indexes.CharField(model_attr='owner', faceted=True) body = indexes.EdgeNgramField(model_attr='body') post_date = indexes.DateTimeField(model_attr='post_date') change_date = indexes.DateTimeField(model_attr='change_date') def get_model(self): return Request def index_queryset(self, using=None): return self.get_model().objects.filter(private=False) class ResponseIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Responses. ''' text = indexes.EdgeNgramField(document=True, use_template = True) owner = indexes.EdgeNgramField(model_attr='owner') exact_user = indexes.CharField(model_attr='owner', faceted=True) body = indexes.EdgeNgramField(model_attr='body') post_date = indexes.DateTimeField(model_attr='post_date') request = indexes.EdgeNgramField(model_attr='request') def get_model(self): return Response def index_queryset(self, using=None): return self.get_model().objects.filter(request__private=False) class AnnouncementIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Announcements. ''' text = indexes.EdgeNgramField(document=True, use_template = True) manager = indexes.EdgeNgramField(model_attr='manager') exact_manager = indexes.CharField(model_attr='manager', faceted=True) incumbent = indexes.EdgeNgramField(model_attr='incumbent') exact_user = indexes.CharField(model_attr='incumbent', faceted=True) body = indexes.EdgeNgramField(model_attr='body') post_date = indexes.DateTimeField(model_attr='post_date') change_date = indexes.DateTimeField(model_attr='change_date') def get_model(self): return Announcement def index_queryset(self, using=None): return self.get_model().objects.all()	[ 1, 14550, 13, 7653, 29901, 8413, 1983, 12554, 13, 13, 13720, 29901, 529, 5813, 29958, 13, 13, 7974, 18111, 363, 278, 767, 18150, 623, 29889, 13, 12008, 13, 13, 3166, 12865, 1053, 12865, 13, 3166, 14842, 1429, 1053, 18111, 13, 3166, 767, 18150, 29889, 9794, 1053, 15629, 29892, 10729, 29892, 13291, 29892, 8081, 1309, 13561, 13, 13, 1990, 15629, 3220, 29898, 2248, 267, 29889, 7974, 3220, 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user_satisfaction_prediction/evaluation.py	wanlingcai1997/umap_2020_code	2	96959	import numpy as np import sklearn.metrics as metrics from scipy.sparse import csr_matrix def evaluation_score(label_test, predict_label): f1_micro=metrics.f1_score(label_test, predict_label, average='micro') hamm=metrics.hamming_loss(label_test,predict_label) accuracy = metrics.accuracy_score(label_test, predict_label) precision = metrics.precision_score(label_test, predict_label,average='micro') # f1=metrics.f1_score(label_test, predict_label) recall=metrics.recall_score(label_test, predict_label,average='micro') print('F1-score:',round(f1_micro,4)) print('Hamming Loss:',round(hamm,4)) print("accuracy :", round(accuracy, 4)) print("precision :", round(precision, 4)) # print("f1 :", round(f1, 4)) print("recall :", round(recall, 4)) return def f1(y_true, y_pred): correct_preds, total_correct, total_preds = 0., 0., 0. for i in range(y_true.shape[0]): set_true = set( np.where(y_true[i])[0]) set_pred = set( np.where(y_pred[i])[0] ) correct_preds += len(set_true & set_pred) total_preds += len(set_pred) total_correct += len(set_true) p = correct_preds / total_preds if correct_preds > 0 else 0 r = correct_preds / total_correct if correct_preds > 0 else 0 f1 = 2 * p * r / (p + r) if correct_preds > 0 else 0 return p, r, f1 def hamming_score(y_true, y_pred, normalize=True, sample_weight=None): ''' Compute the Hamming score (a.k.a. label-based accuracy) for the multi-label case http://stackoverflow.com/q/32239577/395857 ''' acc_list = [] # y_true = np.array(y_true) # since y_true is numpy.matrix # if not isinstance(y_pred, np.ndarray) or not isinstance(y_pred, np.matrix): # y_pred = y_pred.toarray() # since y_pre is scipy.sparse.lil_matrix for i in range(y_true.shape[0]): #print(y_true[i]) #print(y_pred[i]) set_true = set( np.where(y_true[i])[0] ) set_pred = set( np.where(y_pred[i])[0] ) #print('\nset_true: {0}'.format(set_true)) #print('set_pred: {0}'.format(set_pred)) tmp_a = None if len(set_true) == 0 and len(set_pred) == 0: tmp_a = 1 else: tmp_a = len(set_true.intersection(set_pred))/\ float( len(set_true.union(set_pred)) ) #print('tmp_a: {0}'.format(tmp_a)) acc_list.append(tmp_a) return np.mean(acc_list) if __name__ == "__main__": y_true = np.array([[0,1,0], [0,1,1], [1,0,1], [0,0,1]]) y_pred = np.array([[0,1,1], [0,1,1], [0,1,0], [0,0,0]]) print('Hamming score: {0}'.format(hamming_score(y_true, y_pred))) # 0.375 (= (0.5+1+0+0)/4) # Subset accuracy # 0.25 (= 0+1+0+0 / 4) --> 1 if the prediction for one sample fully matches the gold. 0 otherwise. print('Subset accuracy: {0}'.format(metrics.accuracy_score(y_true, y_pred, normalize=True, sample_weight=None))) # Hamming loss (smaller is better) # $$ \text{HammingLoss}(x_i, y_i) = \frac{1}{\|D\|} \sum_{i=1}^{\|D\|} \frac{xor(x_i, y_i)}{\|L\|}, $$ # where # - \\(\|D\|\\) is the number of samples # - \\(\|L\|\\) is the number of labels # - \\(y_i\\) is the ground truth # - \\(x_i\\) is the prediction. # 0.416666666667 (= (1+0+3+1) / (3*4) ) print('Hamming loss: {0}'.format(metrics.hamming_loss(y_true, y_pred)))	[ 1, 1053, 12655, 408, 7442, 13, 5215, 2071, 19668, 29889, 2527, 10817, 408, 21556, 13, 13, 3166, 4560, 2272, 29889, 29879, 5510, 1053, 5939, 29878, 29918, 5344, 13, 13, 1753, 17983, 29918, 13628, 29898, 1643, 29918, 1688, 29892, 8500, 29918, 1643, 1125, 13, 1678, 285, 29896, 29918, 29885, 2357, 29922, 2527, 10817, 29889, 29888, 29896, 29918, 13628, 29898, 1643, 29918, 1688, 29892, 8500, 29918, 1643, 29892, 6588, 2433, 29885, 2357, 1495, 13, 1678, 298, 4850, 29922, 2527, 10817, 29889, 3391, 4056, 29918, 6758, 29898, 1643, 29918, 1688, 29892, 27711, 29918, 1643, 29897, 13, 1678, 13600, 353, 21556, 29889, 562, 2764, 4135, 29918, 13628, 29898, 1643, 29918, 1688, 29892, 8500, 29918, 1643, 29897, 13, 1678, 16716, 353, 21556, 29889, 17990, 2459, 29918, 13628, 29898, 1643, 29918, 1688, 29892, 8500, 29918, 1643, 29892, 12483, 482, 2433, 29885, 2357, 1495, 29871, 13, 1678, 396, 285, 29896, 29922, 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396, 2158, 28909, 29876, 842, 29918, 3009, 29901, 426, 29900, 29913, 4286, 4830, 29898, 842, 29918, 3009, 876, 13, 4706, 396, 2158, 877, 842, 29918, 11965, 29901, 426, 29900, 29913, 4286, 4830, 29898, 842, 29918, 11965, 876, 13, 4706, 13128, 29918, 29874, 353, 6213, 13, 4706, 565, 7431, 29898, 842, 29918, 3009, 29897, 1275, 29871, 29900, 322, 7431, 29898, 842, 29918, 11965, 29897, 1275, 29871, 29900, 29901, 13, 9651, 13128, 29918, 29874, 353, 29871, 29896, 13, 4706, 1683, 29901, 13, 9651, 13128, 29918, 29874, 353, 7431, 29898, 842, 29918, 3009, 29889, 1639, 2042, 29898, 842, 29918, 11965, 876, 7998, 13, 462, 1678, 5785, 29898, 7431, 29898, 842, 29918, 3009, 29889, 13094, 29898, 842, 29918, 11965, 876, 1723, 13, 4706, 396, 2158, 877, 7050, 29918, 29874, 29901, 426, 29900, 29913, 4286, 4830, 29898, 7050, 29918, 29874, 876, 13, 4706, 1035, 29918, 1761, 29889, 4397, 29898, 7050, 29918, 29874, 29897, 13, 1678, 736, 7442, 29889, 12676, 29898, 5753, 29918, 1761, 29897, 13, 13, 13, 13, 361, 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HelloLeap.py	KanaadPathak/SimpleTracker-v0.1	0	118748	import Leap, sys, thread, time from Leap import CircleGesture, KeyTapGesture, ScreenTapGesture, SwipeGesture import matplotlib.pyplot as plt import numpy as np directionList = [] totalFrames = 0 def plotGraph (): print directionList global totalFrames print totalFrames i=0 while i < totalFrames: plt.scatter(i,directionList[i]) i+=1 plt.show() class SampleListener(Leap.Listener): finger_names = ['Thumb', 'Index', 'Middle', 'Ring', 'Pinky'] bone_names = ['Metacarpal', 'Proximal', 'Intermediate', 'Distal'] state_names = ['STATE_INVALID', 'STATE_START', 'STATE_UPDATE', 'STATE_END'] def on_init(self, controller): print "Initialized" def on_connect(self, controller): print "Connected" # Enable gestures controller.enable_gesture(Leap.Gesture.TYPE_CIRCLE) controller.enable_gesture(Leap.Gesture.TYPE_KEY_TAP) controller.enable_gesture(Leap.Gesture.TYPE_SCREEN_TAP) controller.enable_gesture(Leap.Gesture.TYPE_SWIPE) def on_disconnect(self, controller): # Note: not dispatched when running in a debugger. print "Disconnected" def on_exit(self, controller): print "Exited" def on_frame(self, controller): # Get the most recent frame and report some basic information frame = controller.frame() for hand in frame.hands: handType = "Left Hand" if hand.is_left else "Right Hand" global totalFrames #print " %s , ID = %d ,position = % s " %(handType,hand.id,hand.palm_position) normal = hand.palm_normal direction = hand.direction directionList.append((normal[2])) totalFrames+=1 print " %s is Normal and %s is direction " % (normal[2],direction[0]) def main(): # Create a sample listener and controller listener = SampleListener() controller = Leap.Controller() # Have the sample listener receive events from the controller controller.add_listener(listener) # Keep this process running until Enter is pressed print "Press Enter to quit..." try: sys.stdin.readline() except KeyboardInterrupt: pass finally: # Remove the sample listener when done controller.remove_listener(listener) if __name__ == "__main__": main() plotGraph()	[ 1, 1053, 951, 481, 29892, 10876, 29892, 3244, 29892, 931, 30004, 13, 3166, 951, 481, 1053, 27927, 24110, 29892, 7670, 29911, 481, 24110, 29892, 22666, 29911, 481, 24110, 29892, 3925, 15705, 24110, 30004, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 30004, 13, 5215, 12655, 408, 7442, 30004, 13, 20845, 1293, 353, 5159, 30004, 13, 7827, 14438, 1280, 353, 29871, 29900, 30004, 13, 30004, 13, 30004, 13, 1753, 6492, 9527, 313, 1125, 30004, 13, 1678, 1596, 5305, 1293, 30004, 13, 1678, 5534, 3001, 14438, 1280, 30004, 13, 1678, 1596, 3001, 14438, 1280, 30004, 13, 1678, 474, 29922, 29900, 30004, 13, 1678, 1550, 474, 529, 3001, 14438, 1280, 29901, 30004, 13, 4706, 14770, 29889, 1557, 2620, 29898, 29875, 29892, 20845, 1293, 29961, 29875, 2314, 30004, 13, 4706, 474, 23661, 29896, 30004, 13, 1678, 14770, 29889, 4294, 26471, 13, 30004, 13, 30004, 13, 1990, 21029, 3962, 29898, 3226, 481, 29889, 3962, 1125, 30004, 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detector/effdet_cfg.py	HwangToeMat/tmp	10	190992	<filename>detector/effdet_cfg.py from easydict import EasyDict as edict cfg = edict() cfg.NMS_THRES = 0.6 cfg.CONFIDENCE = 0.1 cfg.NUM_CLASSES = 80	[ 1, 529, 9507, 29958, 4801, 3019, 29914, 12352, 4801, 29918, 16859, 29889, 2272, 13, 3166, 2240, 2941, 919, 1053, 382, 8995, 21533, 408, 1226, 919, 13, 13, 16859, 353, 1226, 919, 580, 13, 13, 16859, 29889, 29940, 4345, 29918, 4690, 15989, 353, 259, 29900, 29889, 29953, 13, 16859, 29889, 6007, 29943, 1367, 1430, 4741, 353, 29871, 29900, 29889, 29896, 13, 16859, 29889, 13967, 29918, 6154, 3289, 1660, 29903, 353, 29871, 29947, 29900, 13, 2 ]
src/homework/homework1.py	acc-cosc-1336/cosc-1336-spring-2018-Isaacol77	0	77697	<filename>src/homework/homework1.py def get_hours_since_midnight(seconds): ''' Type the code to calculate total hours given n(number) of seconds For example, given 3800 seconds the total hours is 1 ''' return (seconds//3600) ''' IF YOU ARE OK WITH A GRADE OF 70 FOR THIS ASSIGNMENT STOP HERE. ''' def get_minutes(seconds): ''' Type the code to calculate total minutes less whole hour given n(number) of seconds For example, given 3800 seconds the total minutes is 3 ''' seconds_left = (seconds % 3600) return (seconds_left // 60) def get_seconds(seconds): ''' Type the code to calculate total minutes less whole hour given n(number) of seconds For example, given 3800 seconds the total minutes is 20 ''' seconds_left = (seconds % 3600) return (seconds_left % 60) # used the // to get the amount of minutes left and the % to get the remaining seconds.	[ 1, 529, 9507, 29958, 4351, 29914, 5184, 1287, 29914, 5184, 1287, 29896, 29889, 2272, 13, 1753, 679, 29918, 29882, 2470, 29918, 16076, 29918, 6563, 11147, 29898, 23128, 1125, 13, 1678, 14550, 13, 1678, 5167, 278, 775, 304, 8147, 3001, 6199, 2183, 302, 29898, 4537, 29897, 310, 6923, 13, 1678, 1152, 1342, 29892, 2183, 29871, 29941, 29947, 29900, 29900, 6923, 278, 3001, 6199, 338, 29871, 29896, 13, 1678, 14550, 13, 1678, 736, 313, 23128, 458, 29941, 29953, 29900, 29900, 29897, 13, 13, 12008, 13, 6545, 612, 27269, 319, 1525, 9280, 22659, 319, 402, 4717, 2287, 8079, 29871, 29955, 29900, 15842, 3446, 3235, 319, 1799, 17298, 13780, 6850, 4590, 379, 27267, 29889, 13, 12008, 13, 13, 1753, 679, 29918, 1195, 2667, 29898, 23128, 1125, 13, 1678, 14550, 13, 1678, 5167, 278, 775, 304, 8147, 3001, 6233, 3109, 3353, 7234, 2183, 302, 29898, 4537, 29897, 310, 6923, 13, 1678, 1152, 1342, 29892, 2183, 29871, 29941, 29947, 29900, 29900, 6923, 278, 3001, 6233, 338, 29871, 29941, 13, 1678, 14550, 13, 1678, 6923, 29918, 1563, 353, 313, 23128, 1273, 29871, 29941, 29953, 29900, 29900, 29897, 13, 1678, 736, 313, 23128, 29918, 1563, 849, 29871, 29953, 29900, 29897, 13, 13, 1753, 679, 29918, 23128, 29898, 23128, 1125, 13, 1678, 14550, 13, 1678, 5167, 278, 775, 304, 8147, 3001, 6233, 3109, 3353, 7234, 2183, 302, 29898, 4537, 29897, 310, 6923, 13, 1678, 1152, 1342, 29892, 2183, 29871, 29941, 29947, 29900, 29900, 6923, 278, 3001, 6233, 338, 29871, 29906, 29900, 13, 1678, 14550, 13, 1678, 6923, 29918, 1563, 353, 313, 23128, 1273, 29871, 29941, 29953, 29900, 29900, 29897, 13, 1678, 736, 29871, 313, 23128, 29918, 1563, 1273, 29871, 29953, 29900, 29897, 13, 13, 29937, 1304, 278, 849, 304, 679, 278, 5253, 310, 6233, 2175, 322, 278, 1273, 304, 679, 278, 9886, 6923, 29889, 29871, 13, 2 ]
.venv/lib/python2.7/site-packages/ansible/module_utils/nxos.py	Achraf-Ben/Ansible-	0	13702	<gh_stars>0 # # This code is part of Ansible, but is an independent component. # # This particular file snippet, and this file snippet only, is BSD licensed. # Modules you write using this snippet, which is embedded dynamically by Ansible # still belong to the author of the module, and may assign their own license # to the complete work. # # (c) 2017 Red Hat, Inc. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. # IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE # USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # import collections from ansible.module_utils._text import to_text from ansible.module_utils.basic import env_fallback, return_values from ansible.module_utils.network_common import to_list, ComplexList from ansible.module_utils.connection import exec_command from ansible.module_utils.six import iteritems from ansible.module_utils.urls import fetch_url _DEVICE_CONNECTION = None nxos_provider_spec = { 'host': dict(), 'port': dict(type='int'), 'username': dict(fallback=(env_fallback, ['ANSIBLE_NET_USERNAME'])), 'password': dict(fallback=(env_fallback, ['ANSIBLE_NET_PASSWORD']), no_log=True), 'ssh_keyfile': dict(fallback=(env_fallback, ['ANSIBLE_NET_SSH_KEYFILE'])), 'use_ssl': dict(type='bool'), 'validate_certs': dict(type='bool'), 'timeout': dict(type='int'), 'transport': dict(default='cli', choices=['cli', 'nxapi']) } nxos_argument_spec = { 'provider': dict(type='dict', options=nxos_provider_spec), } nxos_argument_spec.update(nxos_provider_spec) # Add argument's default value here ARGS_DEFAULT_VALUE = { 'transport': 'cli' } def get_argspec(): return nxos_argument_spec def check_args(module, warnings): for key in nxos_argument_spec: if module._name == 'nxos_user': if key not in ['password', 'provider', 'transport'] and module.params[key]: warnings.append('argument %s has been deprecated and will be in a future version' % key) else: if key not in ['provider', 'transport'] and module.params[key]: warnings.append('argument %s has been deprecated and will be removed in a future version' % key) # set argument's default value if not provided in input # This is done to avoid unwanted argument deprecation warning # in case argument is not given as input (outside provider). for key in ARGS_DEFAULT_VALUE: if not module.params.get(key, None): module.params[key] = ARGS_DEFAULT_VALUE[key] def load_params(module): provider = module.params.get('provider') or dict() for key, value in iteritems(provider): if key in nxos_argument_spec: if module.params.get(key) is None and value is not None: module.params[key] = value def get_connection(module): global _DEVICE_CONNECTION if not _DEVICE_CONNECTION: load_params(module) if is_nxapi(module): conn = Nxapi(module) else: conn = Cli(module) _DEVICE_CONNECTION = conn return _DEVICE_CONNECTION class Cli: def __init__(self, module): self._module = module self._device_configs = {} def exec_command(self, command): if isinstance(command, dict): command = self._module.jsonify(command) return exec_command(self._module, command) def get_config(self, flags=[]): """Retrieves the current config from the device or cache """ cmd = 'show running-config ' cmd += ' '.join(flags) cmd = cmd.strip() try: return self._device_configs[cmd] except KeyError: rc, out, err = self.exec_command(cmd) if rc != 0: self._module.fail_json(msg=to_text(err, errors='surrogate_then_replace')) cfg = to_text(out, errors='surrogate_then_replace').strip() self._device_configs[cmd] = cfg return cfg def run_commands(self, commands, check_rc=True): """Run list of commands on remote device and return results """ responses = list() for item in to_list(commands): if item['output'] == 'json' and not is_json(item['command']): cmd = '%s \| json' % item['command'] elif item['output'] == 'text' and is_json(item['command']): cmd = item['command'].split('\|')[0] else: cmd = item['command'] rc, out, err = self.exec_command(cmd) out = to_text(out, errors='surrogate_then_replace') if check_rc and rc != 0: self._module.fail_json(msg=to_text(err, errors='surrogate_then_replace')) try: out = self._module.from_json(out) except ValueError: out = str(out).strip() responses.append(out) return responses def load_config(self, config, return_error=False): """Sends configuration commands to the remote device """ rc, out, err = self.exec_command('configure') if rc != 0: self._module.fail_json(msg='unable to enter configuration mode', output=to_text(err, errors='surrogate_then_replace')) msgs = [] for cmd in config: rc, out, err = self.exec_command(cmd) if rc != 0: self._module.fail_json(msg=to_text(err, errors='surrogate_then_replace')) elif out: msgs.append(out) self.exec_command('end') return msgs class Nxapi: OUTPUT_TO_COMMAND_TYPE = { 'text': 'cli_show_ascii', 'json': 'cli_show', 'bash': 'bash', 'config': 'cli_conf' } def __init__(self, module): self._module = module self._nxapi_auth = None self._device_configs = {} self._module.params['url_username'] = self._module.params['username'] self._module.params['url_password'] = self._module.params['password'] host = self._module.params['host'] port = self._module.params['port'] if self._module.params['use_ssl']: proto = 'https' port = port or 443 else: proto = 'http' port = port or 80 self._url = '%s://%s:%s/ins' % (proto, host, port) def _error(self, msg, kwargs): self._nxapi_auth = None if 'url' not in kwargs: kwargs['url'] = self._url self._module.fail_json(msg=msg, kwargs) def _request_builder(self, commands, output, version='1.0', chunk='0', sid=None): """Encodes a NXAPI JSON request message """ try: command_type = self.OUTPUT_TO_COMMAND_TYPE[output] except KeyError: msg = 'invalid format, received %s, expected one of %s' % \ (output, ','.join(self.OUTPUT_TO_COMMAND_TYPE.keys())) self._error(msg=msg) if isinstance(commands, (list, set, tuple)): commands = ' ;'.join(commands) msg = { 'version': version, 'type': command_type, 'chunk': chunk, 'sid': sid, 'input': commands, 'output_format': 'json' } return dict(ins_api=msg) def send_request(self, commands, output='text', check_status=True, return_error=False): # only 10 show commands can be encoded in each request # messages sent to the remote device if output != 'config': commands = collections.deque(to_list(commands)) stack = list() requests = list() while commands: stack.append(commands.popleft()) if len(stack) == 10: body = self._request_builder(stack, output) data = self._module.jsonify(body) requests.append(data) stack = list() if stack: body = self._request_builder(stack, output) data = self._module.jsonify(body) requests.append(data) else: body = self._request_builder(commands, 'config') requests = [self._module.jsonify(body)] headers = {'Content-Type': 'application/json'} result = list() timeout = self._module.params['timeout'] for req in requests: if self._nxapi_auth: headers['Cookie'] = self._nxapi_auth response, headers = fetch_url( self._module, self._url, data=req, headers=headers, timeout=timeout, method='POST' ) self._nxapi_auth = headers.get('set-cookie') if headers['status'] != 200: self._error(headers) try: response = self._module.from_json(response.read()) except ValueError: self._module.fail_json(msg='unable to parse response') if response['ins_api'].get('outputs'): output = response['ins_api']['outputs']['output'] for item in to_list(output): if check_status and item['code'] != '200': if return_error: result.append(item) else: self._error(output=output, item) elif 'body' in item: result.append(item['body']) # else: # error in command but since check_status is disabled # silently drop it. # result.append(item['msg']) return result def get_config(self, flags=[]): """Retrieves the current config from the device or cache """ cmd = 'show running-config ' cmd += ' '.join(flags) cmd = cmd.strip() try: return self._device_configs[cmd] except KeyError: out = self.send_request(cmd) cfg = str(out[0]).strip() self._device_configs[cmd] = cfg return cfg def run_commands(self, commands, check_rc=True): """Run list of commands on remote device and return results """ output = None queue = list() responses = list() def _send(commands, output): return self.send_request(commands, output, check_status=check_rc) for item in to_list(commands): if is_json(item['command']): item['command'] = str(item['command']).split('\|')[0] item['output'] = 'json' if all((output == 'json', item['output'] == 'text')) or all((output == 'text', item['output'] == 'json')): responses.extend(_send(queue, output)) queue = list() output = item['output'] or 'json' queue.append(item['command']) if queue: responses.extend(_send(queue, output)) return responses def load_config(self, commands, return_error=False): """Sends the ordered set of commands to the device """ commands = to_list(commands) msg = self.send_request(commands, output='config', check_status=True, return_error=return_error) if return_error: return msg else: return [] def is_json(cmd): return str(cmd).endswith('\| json') def is_text(cmd): return not is_json(cmd) def is_nxapi(module): transport = module.params['transport'] provider_transport = (module.params['provider'] or {}).get('transport') return 'nxapi' in (transport, provider_transport) def to_command(module, commands): if is_nxapi(module): default_output = 'json' else: default_output = 'text' transform = ComplexList(dict( command=dict(key=True), output=dict(default=default_output), prompt=dict(), answer=dict() ), module) commands = transform(to_list(commands)) for item in commands: if is_json(item['command']): item['output'] = 'json' return commands def get_config(module, flags=[]): conn = get_connection(module) return conn.get_config(flags) def run_commands(module, commands, check_rc=True): conn = get_connection(module) return conn.run_commands(to_command(module, commands), check_rc) def load_config(module, config, 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module_st/F_find_DEM_bn.py	Qinayan/Soil-thickness	0	109408	#!/usr/bin/env python3 # -- coding: utf-8 -- """ Created on Mon Aug 12 15:21:31 2019 @author: qinayan """ import os import numpy as np def find_DEM_bn(eta): #------------- # find the boundary index #------------- nrows,ncols = eta.shape eta_vector = eta.flatten()1.0 validID = np.where(eta_vector>0)[0] xn = [-1,0,1,-1,1,-1, 0, 1] yn = [1, 1,1, 0,0,-1,-1,-1] bn_ID = [] ghostbn_ID = [] for i in validID: irows = i//ncols icols = i%ncols for n in range (0,8): if (irows+xn[n]<=nrows-1) and (irows+xn[n]>=0) and (icols+yn[n]<=ncols-1) and icols+yn[n]>=0: if eta[irows+xn[n],icols+yn[n]] < 0.0: bn_ID.append((irows)ncols+(icols)) ghostbn_ID.append((irows+xn[n])*ncols+(icols+yn[n])) #-------------- # remove duplicate numbers in bn_ID. bn_ID has duplicate number happends # when the bondary grid has more than one # neighbours which is outsided of the dem domain #-------------- bn_ID_unique = [] for item in bn_ID: if item not in bn_ID_unique: bn_ID_unique.append(item) bn_ID_unique_arr = np.array(bn_ID_unique) bn_ID_arr = np.array(bn_ID) ghostbn_ID_arr = np.array(ghostbn_ID) current_dir = os.getcwd() os.chdir(current_dir+'/GeoData/') np.save('DEM_Sf_bn_id',bn_ID_unique_arr) # save the ID without deleteing duplicate numbers np.save('DEM_Sf_bn_id_dup',bn_ID_arr) np.save('DEM_Sf_ghostbn_id_dup',ghostbn_ID_arr) os.chdir(current_dir) return (bn_ID_unique_arr, bn_ID_arr,ghostbn_ID_arr)	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 13, 20399, 373, 2598, 22333, 29871, 29896, 29906, 29871, 29896, 29945, 29901, 29906, 29896, 29901, 29941, 29896, 29871, 29906, 29900, 29896, 29929, 13, 13, 29992, 8921, 29901, 3855, 262, 388, 273, 13, 15945, 29908, 13, 5215, 2897, 13, 5215, 12655, 408, 7442, 13, 13, 1753, 1284, 29918, 2287, 29924, 29918, 11197, 29898, 1187, 1125, 13, 29937, 9072, 29899, 13, 29937, 1284, 278, 10452, 2380, 13, 29937, 9072, 29899, 13, 1678, 302, 5727, 29892, 29876, 22724, 353, 634, 29874, 29889, 12181, 13, 1678, 634, 29874, 29918, 8111, 29871, 353, 634, 29874, 29889, 1579, 8606, 580, 29930, 29896, 29889, 29900, 13, 1678, 2854, 1367, 268, 353, 7442, 29889, 3062, 29898, 1187, 29918, 8111, 29958, 29900, 9601, 29900, 29962, 13, 268, 13, 1678, 921, 29876, 353, 21069, 29896, 29892, 29900, 29892, 29896, 6653, 29896, 29892, 29896, 6653, 29896, 29892, 29871, 29900, 29892, 29871, 29896, 29962, 13, 1678, 343, 29876, 353, 518, 29896, 29892, 29871, 29896, 29892, 29896, 29892, 29871, 29900, 29892, 29900, 6653, 29896, 6653, 29896, 6653, 29896, 29962, 13, 1678, 289, 29876, 29918, 1367, 353, 5159, 13, 1678, 330, 3069, 11197, 29918, 1367, 353, 5159, 13, 1678, 363, 474, 297, 2854, 1367, 29901, 13, 4706, 474, 5727, 353, 474, 458, 29876, 22724, 13, 4706, 16077, 3775, 353, 474, 29995, 29876, 22724, 13, 4706, 363, 302, 297, 3464, 313, 29900, 29892, 29947, 1125, 13, 9651, 565, 313, 29875, 5727, 29974, 29916, 29876, 29961, 29876, 29962, 14065, 29876, 5727, 29899, 29896, 29897, 322, 313, 29875, 5727, 29974, 29916, 29876, 29961, 29876, 29962, 18572, 29900, 29897, 322, 313, 293, 3775, 29974, 948, 29961, 29876, 29962, 14065, 29876, 22724, 29899, 29896, 29897, 322, 16077, 3775, 29974, 948, 29961, 29876, 29962, 18572, 29900, 29901, 13, 18884, 565, 634, 29874, 29961, 29875, 5727, 29974, 29916, 29876, 29961, 29876, 1402, 293, 3775, 29974, 948, 29961, 29876, 5262, 529, 29871, 29900, 29889, 29900, 29901, 13, 462, 1678, 289, 29876, 29918, 1367, 29889, 4397, 3552, 29875, 5727, 11877, 29876, 22724, 17108, 293, 3775, 876, 13, 462, 1678, 330, 3069, 11197, 29918, 1367, 29889, 4397, 3552, 29875, 5727, 29974, 29916, 29876, 29961, 29876, 2314, 29930, 29876, 22724, 17108, 293, 3775, 29974, 948, 29961, 29876, 12622, 13, 1678, 396, 9072, 489, 1678, 13, 1678, 396, 3349, 7929, 3694, 297, 289, 29876, 29918, 1367, 29889, 289, 29876, 29918, 1367, 756, 7929, 1353, 2250, 1975, 29871, 13, 1678, 396, 746, 278, 21224, 653, 6856, 756, 901, 1135, 697, 13, 1678, 396, 22092, 2470, 607, 338, 714, 29879, 2618, 310, 278, 1261, 5354, 13, 1678, 396, 9072, 489, 13, 268, 13, 1678, 289, 29876, 29918, 1367, 29918, 13092, 353, 5159, 13, 1678, 363, 2944, 297, 289, 29876, 29918, 1367, 29901, 13, 4706, 565, 2944, 451, 297, 289, 29876, 29918, 1367, 29918, 13092, 29901, 13, 9651, 289, 29876, 29918, 1367, 29918, 13092, 29889, 4397, 29898, 667, 29897, 13, 632, 13, 1678, 289, 29876, 29918, 1367, 29918, 13092, 29918, 2749, 353, 7442, 29889, 2378, 29898, 11197, 29918, 1367, 29918, 13092, 29897, 268, 13, 1678, 289, 29876, 29918, 1367, 29918, 2749, 353, 7442, 29889, 2378, 29898, 11197, 29918, 1367, 29897, 268, 13, 1678, 330, 3069, 11197, 29918, 1367, 29918, 2749, 353, 7442, 29889, 2378, 29898, 29887, 3069, 11197, 29918, 1367, 29897, 13, 268, 13, 1678, 1857, 29918, 3972, 353, 2897, 29889, 657, 29883, 9970, 580, 13, 1678, 2897, 29889, 305, 3972, 29898, 3784, 29918, 3972, 23097, 29914, 7999, 29877, 1469, 29914, 1495, 539, 13, 1678, 7442, 29889, 7620, 877, 2287, 29924, 29918, 29903, 29888, 29918, 11197, 29918, 333, 742, 11197, 29918, 1367, 29918, 13092, 29918, 2749, 29897, 13, 1678, 396, 4078, 278, 3553, 1728, 5217, 292, 7929, 3694, 13, 1678, 7442, 29889, 7620, 877, 2287, 29924, 29918, 29903, 29888, 29918, 11197, 29918, 333, 29918, 20908, 742, 11197, 29918, 1367, 29918, 2749, 29897, 29871, 13, 268, 13, 1678, 7442, 29889, 7620, 877, 2287, 29924, 29918, 29903, 29888, 29918, 29887, 3069, 11197, 29918, 333, 29918, 20908, 742, 29887, 3069, 11197, 29918, 1367, 29918, 2749, 29897, 13, 268, 13, 1678, 2897, 29889, 305, 3972, 29898, 3784, 29918, 3972, 29897, 13, 268, 13, 1678, 736, 313, 11197, 29918, 1367, 29918, 13092, 29918, 2749, 29892, 289, 29876, 29918, 1367, 29918, 2749, 29892, 29887, 3069, 11197, 29918, 1367, 29918, 2749, 29897, 2 ]
holocron/utils/data/collate.py	MateoLostanlen/Holocron	181	145348	<reponame>MateoLostanlen/Holocron # Copyright (C) 2019-2021, <NAME>. # This program is licensed under the Apache License version 2. # See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0.txt> for full license details. import numpy as np import torch from torch import Tensor from torch.utils.data._utils.collate import default_collate from typing import Tuple, List __all__ = ['mixup_collate'] def mixup_collate(data: List[Tuple[Tensor, int]], alpha: float = 0.1) -> Tuple[Tensor, Tensor, Tensor, float]: """Implements a batch collate function with MixUp strategy from `"mixup: Beyond Empirical Risk Minimization" <https://arxiv.org/pdf/1710.09412.pdf>`_ Args: data: list of elements alpha: mixup factor Returns: interpolated input original target resorted target interpolation factor Example:: >>> import torch >>> from holocron import utils >>> loader = torch.utils.data.DataLoader(dataset, batch_size, collate_fn=utils.data.mixup_collate) """ inputs, targets = default_collate(data) # Sample lambda if alpha > 0: lam = np.random.beta(alpha, alpha) else: lam = 1 # Mix batch indices batch_size = inputs.size()[0] index = torch.randperm(batch_size) # Create the new input and targets inputs = lam * inputs + (1 - lam) * inputs[index, :] targets_a, targets_b = targets, targets[index] return inputs, targets_a, targets_b, lam	[ 1, 529, 276, 1112, 420, 29958, 29924, 403, 29877, 29931, 520, 273, 2435, 29914, 19984, 542, 1617, 13, 29937, 14187, 1266, 313, 29907, 29897, 29871, 29906, 29900, 29896, 29929, 29899, 29906, 29900, 29906, 29896, 29892, 529, 5813, 15513, 13, 13, 29937, 910, 1824, 338, 7794, 21144, 1090, 278, 13380, 19245, 1873, 29871, 29906, 29889, 13, 29937, 2823, 365, 2965, 1430, 1660, 470, 748, 304, 529, 991, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 29889, 3945, 29958, 363, 2989, 19405, 4902, 29889, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 4842, 305, 13, 3166, 4842, 305, 1053, 323, 6073, 13, 3166, 4842, 305, 29889, 13239, 29889, 1272, 3032, 13239, 29889, 1054, 9632, 1053, 2322, 29918, 1054, 9632, 13, 3166, 19229, 1053, 12603, 552, 29892, 2391, 13, 13, 13, 1649, 497, 1649, 353, 6024, 28084, 786, 29918, 1054, 9632, 2033, 13, 13, 13, 1753, 6837, 786, 29918, 1054, 9632, 29898, 1272, 29901, 2391, 29961, 23215, 552, 29961, 29911, 6073, 29892, 938, 20526, 15595, 29901, 5785, 353, 29871, 29900, 29889, 29896, 29897, 1599, 12603, 552, 29961, 29911, 6073, 29892, 323, 6073, 29892, 323, 6073, 29892, 5785, 5387, 13, 1678, 9995, 1888, 9711, 263, 9853, 5321, 403, 740, 411, 23478, 3373, 13705, 515, 13, 1678, 10248, 28084, 786, 29901, 18502, 898, 7361, 381, 936, 390, 3873, 3080, 326, 2133, 29908, 529, 991, 597, 279, 26560, 29889, 990, 29914, 5140, 29914, 29896, 29955, 29896, 29900, 29889, 29900, 29929, 29946, 29896, 29906, 29889, 5140, 13885, 29918, 13, 13, 1678, 826, 3174, 29901, 13, 4706, 848, 29901, 1051, 310, 3161, 13, 4706, 15595, 29901, 6837, 786, 7329, 13, 13, 1678, 16969, 29901, 13, 4706, 20064, 630, 1881, 13, 4706, 2441, 3646, 13, 4706, 620, 18054, 3646, 13, 4706, 29694, 7329, 13, 13, 1678, 8741, 1057, 13, 4706, 8653, 1053, 4842, 305, 13, 4706, 8653, 515, 8753, 542, 1617, 1053, 3667, 29879, 13, 4706, 8653, 23466, 353, 4842, 305, 29889, 13239, 29889, 1272, 29889, 1469, 10036, 29898, 24713, 29892, 9853, 29918, 2311, 29892, 5321, 403, 29918, 9144, 29922, 13239, 29889, 1272, 29889, 28084, 786, 29918, 1054, 9632, 29897, 13, 1678, 9995, 13, 13, 1678, 10970, 29892, 22525, 353, 2322, 29918, 1054, 9632, 29898, 1272, 29897, 13, 13, 1678, 396, 30081, 17708, 14013, 13, 1678, 565, 15595, 1405, 29871, 29900, 29901, 13, 4706, 301, 314, 353, 7442, 29889, 8172, 29889, 3571, 29898, 2312, 29892, 15595, 29897, 13, 1678, 1683, 29901, 13, 4706, 301, 314, 353, 29871, 29896, 13, 13, 1678, 396, 23478, 9853, 16285, 13, 1678, 9853, 29918, 2311, 353, 10970, 29889, 2311, 580, 29961, 29900, 29962, 13, 1678, 2380, 353, 4842, 305, 29889, 9502, 17858, 29898, 16175, 29918, 2311, 29897, 13, 13, 1678, 396, 6204, 278, 716, 1881, 322, 22525, 13, 1678, 10970, 353, 301, 314, 334, 10970, 718, 313, 29896, 448, 301, 314, 29897, 334, 10970, 29961, 2248, 29892, 584, 29962, 13, 1678, 22525, 29918, 29874, 29892, 22525, 29918, 29890, 353, 22525, 29892, 22525, 29961, 2248, 29962, 13, 13, 1678, 736, 10970, 29892, 22525, 29918, 29874, 29892, 22525, 29918, 29890, 29892, 301, 314, 13, 2 ]
openstates/data/migrations/0042_delete_personcontactdetail.py	csnardi/openstates-core	9	1604329	<reponame>csnardi/openstates-core # Generated by Django 3.2.2 on 2021-10-13 19:07 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("data", "0041_personoffice"), ] operations = [ migrations.DeleteModel( name="PersonContactDetail", ), ]	[ 1, 529, 276, 1112, 420, 29958, 2395, 29876, 18015, 29914, 3150, 28631, 29899, 3221, 13, 29937, 3251, 630, 491, 15337, 29871, 29941, 29889, 29906, 29889, 29906, 373, 29871, 29906, 29900, 29906, 29896, 29899, 29896, 29900, 29899, 29896, 29941, 29871, 29896, 29929, 29901, 29900, 29955, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 4852, 1272, 613, 376, 29900, 29900, 29946, 29896, 29918, 10532, 20205, 4968, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 12498, 3195, 29898, 13, 9651, 1024, 543, 7435, 13443, 16570, 613, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
Medium/Remove Covered Intervals.py	Koushik-Deb/LeetCode	0	196399	class Solution: def removeCoveredIntervals(self, intervals: List[List[int]]) -> int: intervals.sort(reverse=True,key=lambda x:(x[1],-x[0])) # print(intervals) slen = len(intervals) count = slen for i in range(slen-1): # print(intervals[i],intervals[i+1]) if intervals[i][0]<=intervals[i+1][0] and intervals[i][1]>=intervals[i+1][1]: # print("wh") intervals[i+1] = intervals[i] count-=1 return count	[ 1, 770, 24380, 29901, 13, 1678, 822, 3349, 29907, 957, 287, 12506, 29879, 29898, 1311, 29892, 18747, 29901, 2391, 29961, 1293, 29961, 524, 24960, 1599, 938, 29901, 13, 4706, 18747, 29889, 6605, 29898, 24244, 29922, 5574, 29892, 1989, 29922, 2892, 921, 5919, 29916, 29961, 29896, 1402, 29899, 29916, 29961, 29900, 12622, 13, 4706, 396, 1596, 29898, 19207, 29879, 29897, 13, 4706, 2243, 264, 353, 7431, 29898, 19207, 29879, 29897, 13, 4706, 2302, 353, 2243, 264, 13, 4706, 363, 474, 297, 3464, 29898, 29879, 2435, 29899, 29896, 1125, 13, 9651, 396, 1596, 29898, 19207, 29879, 29961, 29875, 1402, 19207, 29879, 29961, 29875, 29974, 29896, 2314, 13, 9651, 565, 18747, 29961, 29875, 3816, 29900, 29962, 14065, 19207, 29879, 29961, 29875, 29974, 29896, 3816, 29900, 29962, 322, 18747, 29961, 29875, 3816, 29896, 29962, 18572, 19207, 29879, 29961, 29875, 29974, 29896, 3816, 29896, 5387, 13, 18884, 396, 1596, 703, 1332, 1159, 13, 18884, 18747, 29961, 29875, 29974, 29896, 29962, 353, 18747, 29961, 29875, 29962, 13, 18884, 2302, 29899, 29922, 29896, 13, 4706, 736, 2302, 13, 268, 2 ]
app/consumers.py	hongphuong0211/Shrimp-Farming-Management-System	1	174957	<filename>app/consumers.py from channels.generic.websocket import AsyncWebsocketConsumer import json class Consumer(AsyncWebsocketConsumer): async def connect(self): self.user_name = self.scope['url_route']['kwargs']['user_name'] await self.channel_layer.group_add( self.user_name, self.channel_name ) await self.accept() async def disconnect(self, close_code): await self.channel_layer.group_discard( self.user_name, self.channel_name ) await self.close() async def update_params(self, event): await self.send(text_data=json.dumps(event['text']))	[ 1, 529, 9507, 29958, 932, 29914, 25978, 414, 29889, 2272, 13, 3166, 18196, 29889, 19206, 29889, 2676, 11514, 1053, 20688, 3609, 11514, 13696, 4680, 13, 5215, 4390, 13, 13, 13, 1990, 2138, 4680, 29898, 8123, 3609, 11514, 13696, 4680, 1125, 13, 1678, 7465, 822, 4511, 29898, 1311, 1125, 13, 4706, 1583, 29889, 1792, 29918, 978, 353, 1583, 29889, 6078, 1839, 2271, 29918, 13134, 16215, 19290, 16215, 1792, 29918, 978, 2033, 13, 13, 4706, 7272, 1583, 29889, 12719, 29918, 13148, 29889, 2972, 29918, 1202, 29898, 13, 9651, 1583, 29889, 1792, 29918, 978, 29892, 13, 9651, 1583, 29889, 12719, 29918, 978, 13, 4706, 1723, 13, 13, 4706, 7272, 1583, 29889, 16044, 580, 13, 13, 1678, 7465, 822, 766, 6915, 29898, 1311, 29892, 3802, 29918, 401, 1125, 13, 13, 4706, 7272, 1583, 29889, 12719, 29918, 13148, 29889, 2972, 29918, 2218, 7543, 29898, 13, 9651, 1583, 29889, 1792, 29918, 978, 29892, 13, 9651, 1583, 29889, 12719, 29918, 978, 13, 4706, 1723, 13, 4706, 7272, 1583, 29889, 5358, 580, 13, 268, 13, 1678, 7465, 822, 2767, 29918, 7529, 29898, 1311, 29892, 1741, 1125, 13, 4706, 7272, 1583, 29889, 6717, 29898, 726, 29918, 1272, 29922, 3126, 29889, 29881, 17204, 29898, 3696, 1839, 726, 25901, 13, 13, 308, 2 ]
src/webpub_manifest_parser/epub/ast.py	tdilauro/webpub-manifest-parser	1	72222	<reponame>tdilauro/webpub-manifest-parser from webpub_manifest_parser.core.ast import LinkProperties, Metadata, Node from webpub_manifest_parser.core.parsers import ArrayParser, EnumParser from webpub_manifest_parser.core.properties import ( EnumProperty, IntegerProperty, Property, StringProperty, TypeProperty, URIProperty, ) class EPUBPresentationHints(Node): """EPUB presentation hints.""" layout = EnumProperty("layout", required=False, items=["fixed", "reflowable"]) class EPUBMetadata(Metadata): """EPUB metadata.""" presentation = TypeProperty( "presentation", required=False, nested_type=EPUBPresentationHints ) class EPUBEncryptionSettings(Node): """EPUB encryption settings.""" algorithm = URIProperty("algorithm", required=True) compression = StringProperty("compression", required=False) original_length = IntegerProperty("originalLength", required=False) profile = URIProperty("profile", required=False) scheme = URIProperty("scheme", required=False) class EPUBLinkProperties(LinkProperties): """EPUB link properties.""" contains = Property( "contains", required=False, parser=ArrayParser( item_parser=EnumParser( ["mathml", "onix", "remote-resources", "js", "svg", "xmp"] ), unique_items=True, ), ) layout = EnumProperty("layout", False, ["fixed", "reflowable"]) encryption_settings = TypeProperty("encrypted", False, EPUBEncryptionSettings)	[ 1, 529, 276, 1112, 420, 29958, 1594, 309, 585, 307, 29914, 2676, 5467, 29899, 29135, 29899, 16680, 13, 3166, 1856, 5467, 29918, 29135, 29918, 16680, 29889, 3221, 29889, 579, 1053, 6645, 11857, 29892, 4737, 7221, 29892, 9071, 13, 3166, 1856, 5467, 29918, 29135, 29918, 16680, 29889, 3221, 29889, 862, 4253, 1053, 4398, 11726, 29892, 1174, 398, 11726, 13, 3166, 1856, 5467, 29918, 29135, 29918, 16680, 29889, 3221, 29889, 11330, 1053, 313, 13, 1678, 1174, 398, 4854, 29892, 13, 1678, 8102, 4854, 29892, 13, 1678, 9079, 29892, 13, 1678, 1714, 4854, 29892, 13, 1678, 5167, 4854, 29892, 13, 1678, 23539, 4854, 29892, 13, 29897, 13, 13, 13, 1990, 382, 7056, 29933, 13504, 9233, 29950, 9466, 29898, 4247, 1125, 13, 1678, 9995, 29923, 7056, 29933, 24329, 26085, 1213, 15945, 13, 13, 1678, 5912, 353, 1174, 398, 4854, 703, 2680, 613, 3734, 29922, 8824, 29892, 4452, 29922, 3366, 20227, 613, 376, 999, 677, 519, 20068, 13, 13, 13, 1990, 382, 7056, 29933, 18417, 29898, 18417, 1125, 13, 1678, 9995, 29923, 7056, 29933, 15562, 1213, 15945, 13, 13, 1678, 24329, 353, 5167, 4854, 29898, 13, 4706, 376, 26081, 613, 3734, 29922, 8824, 29892, 9322, 29918, 1853, 29922, 29923, 7056, 29933, 13504, 9233, 29950, 9466, 13, 1678, 1723, 13, 13, 13, 1990, 382, 7056, 29933, 8566, 14272, 9585, 29898, 4247, 1125, 13, 1678, 9995, 29923, 7056, 29933, 20956, 6055, 1213, 15945, 13, 13, 1678, 5687, 353, 23539, 4854, 703, 20567, 613, 3734, 29922, 5574, 29897, 13, 1678, 24221, 353, 1714, 4854, 703, 510, 2590, 613, 3734, 29922, 8824, 29897, 13, 1678, 2441, 29918, 2848, 353, 8102, 4854, 703, 13492, 6513, 613, 3734, 29922, 8824, 29897, 13, 1678, 8722, 353, 23539, 4854, 703, 10185, 613, 3734, 29922, 8824, 29897, 13, 1678, 11380, 353, 23539, 4854, 703, 816, 2004, 613, 3734, 29922, 8824, 29897, 13, 13, 13, 1990, 382, 7056, 29933, 6595, 11857, 29898, 6595, 11857, 1125, 13, 1678, 9995, 29923, 7056, 29933, 1544, 4426, 1213, 15945, 13, 13, 1678, 3743, 353, 9079, 29898, 13, 4706, 376, 11516, 613, 13, 4706, 3734, 29922, 8824, 29892, 13, 4706, 13812, 29922, 2588, 11726, 29898, 13, 9651, 2944, 29918, 16680, 29922, 16854, 11726, 29898, 13, 18884, 6796, 755, 828, 613, 376, 265, 861, 613, 376, 16674, 29899, 13237, 613, 376, 1315, 613, 376, 15120, 613, 376, 29916, 1526, 3108, 13, 9651, 10353, 13, 9651, 5412, 29918, 7076, 29922, 5574, 29892, 13, 4706, 10353, 13, 1678, 1723, 13, 1678, 5912, 353, 1174, 398, 4854, 703, 2680, 613, 7700, 29892, 6796, 20227, 613, 376, 999, 677, 519, 20068, 13, 1678, 20956, 29918, 11027, 353, 5167, 4854, 703, 3977, 14740, 613, 7700, 29892, 382, 7056, 29933, 8566, 14272, 9585, 29897, 13, 2 ]
src/ikea_api/__init__.py	momoson/ikea-api-client	14	80891	<reponame>momoson/ikea-api-client<gh_stars>10-100 from __future__ import annotations from typing import Any from ikea_api._constants import Constants from ikea_api._endpoints.auth import get_guest_token from ikea_api._endpoints.cart import Cart from ikea_api._endpoints.item_ingka import IngkaItems from ikea_api._endpoints.item_iows import IowsItems from ikea_api._endpoints.item_pip import PipItem from ikea_api._endpoints.order_capture import OrderCapture from ikea_api._endpoints.purchases import Purchases from ikea_api._endpoints.search import Search, SearchType from ikea_api._utils import format_item_code, parse_item_codes __all__ = [ "IKEA", "IngkaItems", "IowsItems", "PipItem", "format_item_code", "parse_item_codes", ] class IKEA: token: str def __init__( self, token: str \| None = None, , country_code: str = "ru", language_code: str = "ru", ) -> None: self.token = token # type: ignore Constants.COUNTRY_CODE = country_code Constants.LANGUAGE_CODE = language_code def login_as_guest(self) -> None: """Log in as guest. Token expires in 30 days.""" self.token = get_guest_token() @property def cart(self) -> Cart: """Manage cart.""" if not hasattr(self, "_cart"): self._cart = Cart(self.token) return self._cart def order_capture( self, , zip_code: str, state_code: str \| None = None ) -> OrderCapture: """Get available delivery services.""" return OrderCapture(self.token, zip_code=zip_code, state_code=state_code) @property def purchases(self) -> Purchases: """Get information about your purchases.""" if not hasattr(self, "_purchases"): self._purchases = Purchases(self.token) return self._purchases def search( self, query: str, *, limit: int = 24, types: list[SearchType] = ["PRODUCT"] ) -> dict[str, dict[str, Any] \| list[Any]]: """Search the IKEA product catalog by product name""" return Search()(query=query, limit=limit, types=types)	[ 1, 529, 276, 1112, 420, 29958, 29885, 290, 359, 265, 29914, 9345, 29874, 29899, 2754, 29899, 4645, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 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generators/lib/length_cutter.py	yautay/polish_wordlists	4	105785	<reponame>yautay/polish_wordlists from generators.lib.generator import Generator class LengthCutter(Generator): def __init__(self, minimum, maximum, kwargs): super(LengthCutter, self).__init__(kwargs) self.iterate_over_file(minimum, maximum) def iterate_over_file(self, _min, _max): received = 0 processed = 0 with open(self.file_in, "r") as _input: with open(self.file_out, "w") as output: for line in _input: received += 1 if _min <= len(line) <= _max: output.write(line + "\n") processed += 1 print("Processed {} of words in file".format(received)) print("Omitted {} words".format(received - processed)) print("Saved {} words in output file".format(processed))	[ 1, 529, 276, 1112, 420, 29958, 29891, 1300, 388, 29914, 3733, 728, 29918, 1742, 21513, 13, 3166, 1176, 4097, 29889, 1982, 29889, 27959, 1053, 3251, 1061, 13, 13, 13, 1990, 365, 1477, 29907, 6463, 29898, 21575, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 9212, 29892, 7472, 29892, 3579, 19290, 1125, 13, 4706, 2428, 29898, 6513, 29907, 6463, 29892, 1583, 467, 1649, 2344, 12035, 1068, 19290, 29897, 13, 4706, 1583, 29889, 1524, 403, 29918, 957, 29918, 1445, 29898, 1195, 12539, 29892, 7472, 29897, 13, 13, 1678, 822, 13649, 29918, 957, 29918, 1445, 29898, 1311, 29892, 903, 1195, 29892, 903, 3317, 1125, 13, 4706, 4520, 353, 29871, 29900, 13, 4706, 19356, 353, 29871, 29900, 13, 4706, 411, 1722, 29898, 1311, 29889, 1445, 29918, 262, 29892, 376, 29878, 1159, 408, 903, 2080, 29901, 13, 9651, 411, 1722, 29898, 1311, 29889, 1445, 29918, 449, 29892, 376, 29893, 1159, 408, 1962, 29901, 13, 18884, 363, 1196, 297, 903, 2080, 29901, 13, 462, 1678, 4520, 4619, 29871, 29896, 13, 462, 1678, 565, 903, 1195, 5277, 7431, 29898, 1220, 29897, 5277, 903, 3317, 29901, 13, 462, 4706, 1962, 29889, 3539, 29898, 1220, 718, 6634, 29876, 1159, 13, 462, 4706, 19356, 4619, 29871, 29896, 13, 4706, 1596, 703, 7032, 287, 6571, 310, 3838, 297, 934, 1642, 4830, 29898, 13556, 2347, 876, 13, 4706, 1596, 703, 5673, 4430, 6571, 3838, 1642, 4830, 29898, 13556, 2347, 448, 19356, 876, 13, 4706, 1596, 703, 29903, 10511, 6571, 3838, 297, 1962, 934, 1642, 4830, 29898, 5014, 287, 876, 13, 2 ]
seqnmf/seqnmf.py	calebweinreb/seqnmf-gpu	0	1605502	from jax.scipy.signal import convolve2d as conv2 import jax, jax.numpy as jnp import tqdm import numpy as np import seaborn as sns from matplotlib import pyplot as plt from matplotlib import gridspec from .helpers import reconstruct, reconstruct_numpy, shift_factors, compute_loadings_percent_power, get_shapes, shifted_matrix_product, trim_shapes def update_W(W, H, X, Lambda, M, L, K, smooth_kernel, eps, lambda_OrthW, lambda_L1W): X_hat = reconstruct(W, H) X = jnp.where(M==0, X_hat, X) XHT = shifted_matrix_product(X,H.T,jnp.arange(L)-1,None,0) X_hat_HT = shifted_matrix_product(X_hat,H.T,jnp.arange(L)-1,None,0) XS = conv2(X, smooth_kernel, 'same') XS_HT = shifted_matrix_product(XS, H.T, jnp.arange(L)-1,None,0) dWWdW = jnp.dot(lambda_OrthW * jnp.sum(W, axis=2), 1. - jnp.eye(K)) dRdW = Lambda * jax.vmap(lambda x: jnp.dot(x, 1-jnp.eye(K)))(XS_HT) + lambda_L1W + dWWdW return W * jnp.moveaxis(jnp.divide(XHT, X_hat_HT + dRdW + eps),0,2) def seqnmf_iter(W, H, X, X_hat, Lambda, M, L, K, smooth_kernel, shift, eps, W_fixed, lambda_OrthW, lambda_OrthH, lambda_L1W, lambda_L1H): WTX = shifted_matrix_product(W.T,X,-jnp.arange(L)+1,0,1).sum(0) WTX_hat = shifted_matrix_product(W.T,X_hat,-jnp.arange(L)+1,0,1).sum(0) dRdH = jnp.dot(Lambda * (1 - jnp.eye(K)), conv2(WTX, smooth_kernel, 'same')) dHHdH = jnp.dot(lambda_OrthH * (1 - jnp.eye(K)), conv2(H, smooth_kernel, 'same')) dRdH += lambda_L1H + dHHdH H = H * jnp.divide(WTX, WTX_hat + dRdH + eps) W,H = jax.lax.cond(shift, shift_factors, lambda WH: WH, (W,H)) W = W + epsshift norms = jnp.sqrt(jnp.sum(jnp.power(H, 2), axis=1)).T H = jnp.dot(jnp.diag(jnp.divide(1., norms + eps)), H) W = jax.vmap(jnp.dot, in_axes=(2,None), out_axes=2)(W,jnp.diag(norms)) update = lambda w: update_W(w, H, X, Lambda, M, L, K, smooth_kernel, eps, lambda_OrthW, lambda_L1W) W = jax.lax.cond(not W_fixed, update, lambda w: w, W) X_hat = reconstruct(W, H) X = jnp.where(M==0, X_hat, X) cost = jnp.sqrt(jnp.mean(jnp.power(X - X_hat, 2))) return W, H, X, X_hat, cost def seqnmf(X, K=10, L=100, Lambda=.001, W_init=None, H_init=None, plot_it=False, max_iter=100, tol=-np.inf, shift=True, sort_factors=True, lambda_L1W=0, lambda_L1H=0, lambda_OrthH=0, lambda_OrthW=0, M=None, W_fixed=False): ''' :param X: an N (features) by T (timepoints) data matrix to be factorized using seqNMF :param K: the (maximum) number of factors to search for; any unused factors will be set to all zeros :param L: the (maximum) number of timepoints to consider in each factor; any unused timepoints will be set to zeros :param Lambda: regularization parameter (default: 0.001) :param W_init: initial factors (if unspecified, use random initialization) :param H_init: initial per-timepoint factor loadings (if unspecified, initialize randomly) :param plot_it: if True, display progress in each update using a plot (default: False) :param max_iter: maximum number of iterations/updates :param tol: if cost is within tol of the average of the previous 5 updates, the algorithm will terminate (default: tol = -inf) :param shift: allow timepoint shifts in H :param sort_factors: sort factors by time :param lambda_L1W: regularization parameter for W (default: 0) :param lambda_L1H: regularization parameter for H (default: 0) :param lambda_OrthH: regularization parameter for H (default: 0) :param lambda_OrthW: regularization parameter for W (default: 0) :param M: binary mask of the same size as X, used to ignore a subset of the data during training (default: use all data) :param W_fixed: if true, fix factors (W), e.g. for cross validation (default: False) :return: :W: N (features) by K (factors) by L (per-factor timepoints) tensor of factors :H: K (factors) by T (timepoints) matrix of factor loadings (i.e. factor timecourses) :cost: a vector of length (number-of-iterations + 1) containing the initial cost and cost after each update (i.e. the reconstruction error) :loadings: the per-factor loadings-- i.e. the explanatory power of each individual factor :power: the total power (across all factors) explained by the full reconstruction ''' assert np.all(X >= 0), 'all data values must be positive!' N = X.shape[0] T = X.shape[1] + 2 L X = jnp.concatenate((jnp.zeros([N, L]), X, jnp.zeros([N, L])), axis=1) if W_init is None: W_init = jnp.array(np.max(X) * np.random.rand(N, K, L)) if H_init is None: H_init = jnp.array(np.max(X) * np.random.rand(K, T) / np.sqrt(T / 3)) if M is None: M = jnp.ones([N, T]) W = W_init H = H_init X_hat = reconstruct(W, H) X = jnp.where(M==0, X_hat, X) smooth_kernel = jnp.ones([1, (2 * L) - 1]) eps = jnp.max(X) * 1e-6 last_time = False costs = np.zeros(max_iter + 1) costs[0] = jnp.sqrt(jnp.mean(jnp.power(X - X_hat, 2))) update = jax.jit(lambda W,H,X,X_hat,Lambda: seqnmf_iter( W, H, X, X_hat, Lambda, M, L, K, smooth_kernel, shift, eps, W_fixed, lambda_OrthW, lambda_OrthH, lambda_L1W, lambda_L1H)) for i in tqdm.trange(max_iter): if (i == max_iter - 1) or ((i > 6) and (costs[i + 1] + tol) > np.mean(costs[i - 6:i])): costs = costs[:(i + 2)] last_time = True if i > 0: Lambda = 0 W, H, X, X_hat, cost = update(W, H, X, X_hat, Lambda) costs[i] = cost if plot_it: if i > 0: try: h.close() except: pass h = plot(W, H) h.suptitle(f'iteration {i}', fontsize=8) h.show() if last_time: break X = X[:, L:-L] X_hat = X_hat[:, L:-L] H = H[:, L:-L] power = jnp.divide(jnp.sum(jnp.power(X, 2)) - jnp.sum(jnp.power(X - X_hat, 2)), jnp.sum(jnp.power(X, 2))) loadings = compute_loadings_percent_power(X, W, H) W = np.array(W) H = np.array(H) power = np.array(power) loadings = np.array(loadings) if sort_factors: inds = np.flip(np.argsort(loadings), 0) loadings = loadings[inds] W = W[:, inds, :] H = H[inds, :] return W, H, costs, loadings, power def plot(W, H, cmap='gray_r', factor_cmap='Spectral'): ''' :param W: N (features) by K (factors) by L (per-factor timepoints) tensor of factors :param H: K (factors) by T (timepoints) matrix of factor loadings (i.e. factor timecourses) :param cmap: colormap used to draw heatmaps for the factors, factor loadings, and data reconstruction :param factor_cmap: colormap used to distinguish individual factors :return f: matplotlib figure handle ''' N, K, L, T = get_shapes(W, H) W, H = trim_shapes(W, H, N, K, L, T) data_recon = reconstruct_numpy(W, H) fig = plt.figure(figsize=(5, 5)) gs = gridspec.GridSpec(2, 2, width_ratios=[1, 4], height_ratios=[1, 4]) ax_h = plt.subplot(gs[1]) ax_w = plt.subplot(gs[2]) ax_data = plt.subplot(gs[3]) # plot W, H, and data_recon sns.heatmap(np.hstack(list(map(np.squeeze, np.split(W, K, axis=1)))), cmap=cmap, ax=ax_w, cbar=False) sns.heatmap(H, cmap=cmap, ax=ax_h, cbar=False) sns.heatmap(data_recon, cmap=cmap, ax=ax_data, cbar=False) # add dividing bars for factors of W and H factor_colors = sns.color_palette(factor_cmap, K) for k in np.arange(K): plt.sca(ax_w) start_w = k * L plt.plot([start_w, start_w], [0, N - 1], '-', color=factor_colors[k]) plt.sca(ax_h) plt.plot([0, T - 1], [k, k], '-', color=factor_colors[k]) return fig	[ 1, 515, 432, 1165, 29889, 26167, 2272, 29889, 25436, 1053, 378, 1555, 345, 29906, 29881, 408, 7602, 29906, 13, 5215, 432, 1165, 29892, 432, 1165, 29889, 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cookbook/c08/p15_delegate_attribute.py	itpubs/python3-cookbook	3	137690	<filename>cookbook/c08/p15_delegate_attribute.py #!/usr/bin/env python # -- encoding: utf-8 -- """ Topic: 属性访问代理 Desc : """ class A: def spam(self, x): pass def foo(self): pass class B1: """简单的代理""" def __init__(self): self._a = A() def spam(self, x): # Delegate to the internal self._a instance return self._a.spam(x) def foo(self): # Delegate to the internal self._a instance return self._a.foo() def bar(self): pass class B2: """使用__getattr__的代理，代理方法比较多时候""" def __init__(self): self._a = A() def bar(self): pass # Expose all of the methods defined on class A def __getattr__(self, name): """这个方法在访问的attribute不存在的时候被调用 the __getattr__() method is actually a fallback method that only gets called when an attribute is not found""" return getattr(self._a, name) b = B2() b.bar() # Calls B.bar() (exists on B) b.spam(42) # Calls B.__getattr__('spam') and delegates to A.spam # A proxy class that wraps around another object, but # exposes its public attributes class Proxy: def __init__(self, obj): self._obj = obj # Delegate attribute lookup to internal obj def __getattr__(self, name): print('getattr:', name) return getattr(self._obj, name) # Delegate attribute assignment def __setattr__(self, name, value): if name.startswith('_'): super().__setattr__(name, value) else: print('setattr:', name, value) setattr(self._obj, name, value) # Delegate attribute deletion def __delattr__(self, name): if name.startswith('_'): super().__delattr__(name) else: print('delattr:', name) delattr(self._obj, name) class Spam: def __init__(self, x): self.x = x def bar(self, y): print('Spam.bar:', self.x, y) # Create an instance s = Spam(2) # Create a proxy around it p = Proxy(s) # Access the proxy print(p.x) # Outputs 2 p.bar(3) # Outputs "Spam.bar: 2 3" p.x = 37 # Changes s.x to 37 class ListLike: """__getattr__对于双下划线开始和结尾的方法是不能用的，需要一个个去重定义""" def __init__(self): self._items = [] def __getattr__(self, name): return getattr(self._items, name) # Added special methods to support certain list operations def __len__(self): return len(self._items) def __getitem__(self, index): return self._items[index] def __setitem__(self, index, value): self._items[index] = value def __delitem__(self, index): del self._items[index] a = ListLike() a.append(2) a.insert(0, 1) a.sort() print(len(a)) class A: def spam(self, x): print('A.spam', x) def foo(self): print('A.foo') class B(A): def spam(self, x): print('B.spam') super().spam(x) def bar(self): print('B.bar') class A: def spam(self, x): print('A.spam', x) def foo(self): print('A.foo') class B: def __init__(self): self._a = A() def spam(self, x): print('B.spam', x) self._a.spam(x) def bar(self): print('B.bar') def __getattr__(self, name): return getattr(self._a, name)	[ 1, 529, 9507, 29958, 15108, 2909, 29914, 29883, 29900, 29947, 29914, 29886, 29896, 29945, 29918, 21234, 29918, 12715, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 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hanging_points_cnn/create_dataset/merge_all_dataset.py	kosuke55/hanging_points_cnn	4	196021	#!/usr/bin/env python # coding: utf-8 import argparse import glob import os.path as osp from merge_dataset import merge_two_dataset if __name__ == '__main__': parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument( '--base_dir', '-b', type=str, help='base_dir', default='/media/kosuke/SANDISK/meshdata/ycb_hanging_object/hoge') parser.add_argument( '--out_dir', '-o', type=str, help='out dir', default='/media/kosuke/SANDISK/meshdata/ycb_hanging_object/hoge/merged') args = parser.parse_args() base_dir = args.base_dir out_dir = args.out_dir dirs = glob.glob(osp.join(base_dir, '')) c = 0 for dir in dirs: f = glob.glob(osp.join(dir, 'depth', '')) # print(f) print(dir + ', len:{}'.format(len(f))) c += len(f) merge_two_dataset(input_dir_1=dirs[0], input_dir_2=dirs[1], out_dir=out_dir) for i in range(len(dirs) - 2): print(dirs[i + 2]) merge_two_dataset(input_dir_1=out_dir, input_dir_2=dirs[i + 2], out_dir=out_dir) f = glob.glob(osp.join(out_dir, 'depth', '*')) print('Expected number: {}, Actual number: {}'.format(c, len(f))) assert c == len(f), '{} was expected but {}'.format(c, len(f))	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 14137, 29901, 23616, 29899, 29947, 13, 13, 5215, 1852, 5510, 13, 5215, 13149, 13, 5215, 2897, 29889, 2084, 408, 288, 1028, 13, 13, 3166, 10366, 29918, 24713, 1053, 10366, 29918, 10184, 29918, 24713, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 13, 1678, 13812, 353, 1852, 5510, 29889, 15730, 11726, 29898, 13, 4706, 883, 2620, 29918, 1990, 29922, 1191, 5510, 29889, 15730, 24863, 29648, 18522, 29897, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 525, 489, 3188, 29918, 3972, 742, 13, 4706, 17411, 29890, 742, 13, 4706, 1134, 29922, 710, 29892, 13, 4706, 1371, 2433, 3188, 29918, 3972, 742, 13, 4706, 2322, 2433, 29914, 9799, 29914, 29895, 359, 29884, 446, 29914, 29903, 9468, 3235, 29968, 29914, 4467, 29882, 1272, 29914, 29891, 10702, 29918, 29882, 9776, 29918, 3318, 29914, 29882, 21317, 1495, 13, 1678, 13812, 29889, 1202, 29918, 23516, 29898, 13, 4706, 525, 489, 449, 29918, 3972, 742, 13, 4706, 17411, 29877, 742, 13, 4706, 1134, 29922, 710, 29892, 13, 4706, 1371, 2433, 449, 4516, 742, 13, 4706, 2322, 2433, 29914, 9799, 29914, 29895, 359, 29884, 446, 29914, 29903, 9468, 3235, 29968, 29914, 4467, 29882, 1272, 29914, 29891, 10702, 29918, 29882, 9776, 29918, 3318, 29914, 29882, 21317, 29914, 1050, 3192, 1495, 13, 13, 1678, 6389, 353, 13812, 29889, 5510, 29918, 5085, 580, 13, 1678, 2967, 29918, 3972, 353, 6389, 29889, 3188, 29918, 3972, 13, 1678, 714, 29918, 3972, 353, 6389, 29889, 449, 29918, 3972, 13, 1678, 4516, 29879, 353, 13149, 29889, 23705, 29898, 4705, 29889, 7122, 29898, 3188, 29918, 3972, 29892, 525, 29930, 8785, 13, 13, 1678, 274, 353, 29871, 29900, 13, 1678, 363, 4516, 297, 4516, 29879, 29901, 13, 4706, 285, 353, 13149, 29889, 23705, 29898, 4705, 29889, 7122, 29898, 3972, 29892, 525, 19488, 742, 525, 29930, 8785, 13, 4706, 396, 1596, 29898, 29888, 29897, 13, 4706, 1596, 29898, 3972, 718, 13420, 7431, 29901, 8875, 4286, 4830, 29898, 2435, 29898, 29888, 4961, 13, 4706, 274, 4619, 7431, 29898, 29888, 29897, 13, 13, 1678, 10366, 29918, 10184, 29918, 24713, 29898, 2080, 29918, 3972, 29918, 29896, 29922, 3972, 29879, 29961, 29900, 1402, 13, 462, 418, 1881, 29918, 3972, 29918, 29906, 29922, 3972, 29879, 29961, 29896, 1402, 714, 29918, 3972, 29922, 449, 29918, 3972, 29897, 13, 1678, 363, 474, 297, 3464, 29898, 2435, 29898, 3972, 29879, 29897, 448, 29871, 29906, 1125, 13, 4706, 1596, 29898, 3972, 29879, 29961, 29875, 718, 29871, 29906, 2314, 13, 4706, 10366, 29918, 10184, 29918, 24713, 29898, 2080, 29918, 3972, 29918, 29896, 29922, 449, 29918, 3972, 29892, 13, 462, 3986, 1881, 29918, 3972, 29918, 29906, 29922, 3972, 29879, 29961, 29875, 718, 29871, 29906, 1402, 714, 29918, 3972, 29922, 449, 29918, 3972, 29897, 13, 13, 1678, 285, 353, 13149, 29889, 23705, 29898, 4705, 29889, 7122, 29898, 449, 29918, 3972, 29892, 525, 19488, 742, 525, 29930, 8785, 13, 13, 1678, 1596, 877, 1252, 6021, 1353, 29901, 24335, 3185, 950, 1353, 29901, 6571, 4286, 4830, 29898, 29883, 29892, 7431, 29898, 29888, 4961, 13, 1678, 4974, 274, 1275, 7431, 29898, 29888, 511, 525, 8875, 471, 3806, 541, 6571, 4286, 4830, 29898, 29883, 29892, 7431, 29898, 29888, 876, 13, 2 ]
python_pb2/go/chromium/org/luci/buildbucket/proto/rpc_prpc_pb2.py	allaparthi/monorail	0	161405	<filename>python_pb2/go/chromium/org/luci/buildbucket/proto/rpc_prpc_pb2.py # Generated by the pRPC protocol buffer compiler plugin. DO NOT EDIT! # source: go.chromium.org/luci/buildbucket/proto/rpc.proto import base64 import zlib from google.protobuf import descriptor_pb2 # Includes description of the go.chromium.org/luci/buildbucket/proto/rpc.proto and all of its transitive # dependencies. Includes source code info. 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tests/misc/test_log.py	svidoso/ipopo	65	88371	#!/usr/bin/env python # -- Content-Encoding: UTF-8 -- """ Tests the log service :author: <NAME> """ # Standard library import logging import sys import time try: import unittest2 as unittest except ImportError: import unittest # type: ignore # Pelix import pelix.framework import pelix.misc from pelix.ipopo.constants import use_ipopo from pelix.misc.log import LOG_DEBUG, LOG_INFO, LOG_WARNING, LOG_ERROR # ------------------------------------------------------------------------------ __version_info__ = (1, 0, 1) __version__ = ".".join(str(x) for x in __version_info__) # ------------------------------------------------------------------------------ class LogServiceTest(unittest.TestCase): """ Tests the log service """ def setUp(self): """ Prepares a framework and a registers a service to export """ # Create the framework self.framework = pelix.framework.create_framework( ('pelix.ipopo.core', 'pelix.misc.log')) self.framework.start() # Get the service self.logger = self._get_logger() self.reader = self._get_reader() # Setup logging level logging.getLogger().setLevel(logging.INFO) def tearDown(self): """ Cleans up for next test """ # Stop the framework pelix.framework.FrameworkFactory.delete_framework(self.framework) self.logger = None self.reader = None self.framework = None def _get_logger(self): """ Returns the log service """ context = self.framework.get_bundle_context() ref = context.get_service_reference(pelix.misc.LOG_SERVICE) return context.get_service(ref) def _get_reader(self): """ Returns the log reader service """ context = self.framework.get_bundle_context() ref = context.get_service_reference(pelix.misc.LOG_READER_SERVICE) return context.get_service(ref) def test_log(self): """ Basic tests for the log service """ # Try to log at various log levels prev_logs = [] for level, osgi_level in ( (logging.DEBUG, LOG_DEBUG), (logging.INFO, LOG_INFO), (logging.WARNING, LOG_WARNING), (logging.ERROR, LOG_ERROR), (logging.CRITICAL, LOG_ERROR)): # Log at the expected level self.logger.log(level, logging.getLevelName(level)) # Get new logs new_logs = self.reader.get_log() latest = new_logs[-1] # Check time stamp self.assertLessEqual( latest.time, time.time() + .5, "Log in future") self.assertGreaterEqual( latest.time, time.time() - 10, "Log too far in past") # Check stored info self.assertEqual(latest.level, level, "Wrong log level") self.assertEqual(latest.osgi_level, osgi_level, "Wrong OSGi log level") self.assertEqual(latest.message, logging.getLevelName(level), "Wrong log message") self.assertIs(latest.bundle, self.framework, "No bundle info") self.assertIsNone(latest.exception, "Unexpected exception data") self.assertIsNone(latest.reference, "Unexpected reference data") # Compare list (not tuples) new_logs = list(new_logs) self.assertListEqual(new_logs, prev_logs + [latest], "Logs list changed") prev_logs = new_logs def test_logging(self): """ Tests if logs made with the logging are handled """ # Debug logs aren't taken into account logging.debug("Some log message at %s", logging.getLevelName(logging.DEBUG)) self.assertListEqual( list(self.reader.get_log()), [], "Debug message logged") # Try to log at various log levels prev_logs = [] for level, osgi_level in ( (logging.INFO, LOG_INFO), (logging.WARNING, LOG_WARNING), (logging.ERROR, LOG_ERROR), (logging.CRITICAL, LOG_ERROR)): # Log at the expected level logging.log(level, "Some log message at %s", logging.getLevelName(level)) # Get new logs new_logs = self.reader.get_log() latest = new_logs[-1] # Check time stamp self.assertLessEqual( latest.time, time.time() + .5, "Log in future") self.assertGreaterEqual( latest.time, time.time() - 10, "Log too far in past") # Check stored info self.assertEqual(latest.level, level, "Wrong log level") self.assertEqual(latest.osgi_level, osgi_level, "Wrong OSGi log level") self.assertIn(logging.getLevelName(level), latest.message, "Wrong log message") self.assertIsNone(latest.bundle, "Unexpected bundle info") self.assertIsNone(latest.exception, "Unexpected exception data") self.assertIsNone(latest.reference, "Unexpected reference data") # Check string representation self.assertIn(logging.getLevelName(level), str(latest)) # Compare list (not tuples) new_logs = list(new_logs) self.assertListEqual(new_logs, prev_logs + [latest], "Logs list changed") prev_logs = new_logs def test_logging_filter_level(self): """ Tests the change of filter for the logging handler """ for filter_level in (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR): for int_level in (True, False): # Restart the framework self.tearDown() self.setUp() # Ensure logging emits all records logging.getLogger().setLevel(logging.DEBUG) # Change the framework property and reload the log service if int_level: self.framework.add_property( pelix.misc.PROPERTY_LOG_LEVEL, filter_level) else: self.framework.add_property( pelix.misc.PROPERTY_LOG_LEVEL, logging.getLevelName(filter_level)) self.framework.get_bundle_by_name("pelix.misc.log").update() self.logger = self._get_logger() self.reader = self._get_reader() # Log for each level for level in (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR): # Log something logging.log(level, "Some log at %s", logging.getLevelName(level)) try: latest = self.reader.get_log()[-1] if level >= filter_level: self.assertIn(logging.getLevelName(level), latest.message) except IndexError: if level >= filter_level: self.fail("Missing a log matching the filter") # Try with invalid levels, default level is INFO filter_level = logging.INFO for invalid in (None, "", "deb", "ug", "foobar", {1: 2}, [1, 2]): # Restart the framework self.tearDown() self.setUp() # Change the framework property and reload the log service self.framework.add_property(pelix.misc.PROPERTY_LOG_LEVEL, invalid) self.framework.get_bundle_by_name("pelix.misc.log").update() self.logger = self._get_logger() self.reader = self._get_reader() # Log for each level for level in (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR): # Log something logging.log(level, "Some log at %s", logging.getLevelName(level)) try: latest = self.reader.get_log()[-1] if level >= filter_level: self.assertIn(logging.getLevelName(level), latest.message) except IndexError: if level >= filter_level: self.fail("Missing a log matching the filter") def test_listener(self): """ Tests when log listeners are notified """ entries = [] # Prepare the listener class Listener: @staticmethod def logged(entry): entries.append(entry) listener = Listener() # Register it twice self.reader.add_log_listener(listener) self.reader.add_log_listener(listener) # Also, check with a null log listener self.reader.add_log_listener(None) # Log something self.logger.log(logging.WARNING, "Some log") # Get the log entry through the service latest = self.reader.get_log()[-1] # Compare with what we stored self.assertListEqual(entries, [latest], "Bad content for the listener") # Clean up del entries[:] # Unregister the listener once self.reader.remove_log_listener(listener) # Log something self.logger.log(logging.WARNING, "Some log") # Nothing must have been logged self.assertListEqual(entries, [], "Something has been logged") # Nothing must happen if we unregister the listener twice self.reader.remove_log_listener(listener) self.reader.remove_log_listener(None) def test_bad_listener(self): """ Tests a listener raising an exception """ # Prepare the listener class GoodListener: def __init__(self): self.entries = [] def logged(self, entry): self.entries.append(entry) raise OSError("Something went wrong") class BadListener(GoodListener): def logged(self, entry): super(BadListener, self).logged(entry) raise OSError("Something went wrong") good1 = GoodListener() bad = GoodListener() good2 = GoodListener() # Register listeners self.reader.add_log_listener(good1) self.reader.add_log_listener(bad) self.reader.add_log_listener(good2) # Log something self.logger.log(logging.WARNING, "Some log") # Get the log entry through the service latest = self.reader.get_log()[-1] self.assertEqual(latest.level, logging.WARNING) for listener in (good1, bad, good2): self.assertIs(latest, listener.entries[-1], "Entry not kept") def test_reference(self): """ Tests the service reference handling in logs """ # Register a service, with the Framework context context = self.framework.get_bundle_context() svc_reg = context.register_service("test.svc", object(), {}) svc_ref = svc_reg.get_reference() # Log something self.logger.log(logging.WARNING, "Some text", reference=svc_ref) # Check what has been stored latest = self.reader.get_log()[-1] self.assertIs(latest.reference, svc_ref, "Wrong service reference") self.assertIs(latest.bundle, self.framework, "Wrong bundle found") # Log with wrong references for wrong_ref in (None, object(), svc_reg): self.logger.log(logging.WARNING, "Some text", reference=wrong_ref) latest = self.reader.get_log()[-1] self.assertIsNone(latest.reference, "Non-None service reference") self.assertIs(latest.bundle, self.framework, "No bundle info") def test_bundle(self): """ Tests the detection of the calling bundle """ # Install a test bundle context = self.framework.get_bundle_context() bnd = context.install_bundle("tests.misc.log_bundle") module = bnd.get_module() bnd.start() # Instantiate a test component with use_ipopo(context) as ipopo: comp = ipopo.instantiate(module.SIMPLE_FACTORY, "test.log", {}) # Log something comp.log(logging.WARNING, "Some log") # Check the bundle latest = self.reader.get_log()[-1] self.assertIs(latest.bundle, bnd, "Wrong bundle found") # Check if the bundle in the string representation self.assertIn(bnd.get_symbolic_name(), str(latest)) # Remove the name of the module: this should not mess with the result comp.remove_name() # Log something comp.log(logging.WARNING, "Some log") # Check the bundle latest = self.reader.get_log()[-1] self.assertIs(latest.bundle, bnd, "Wrong bundle found") # Call from the framework self.logger.log(logging.WARNING, "final log") latest = self.reader.get_log()[-1] self.assertIs(latest.bundle, self.framework, "Wrong bundle") def test_exception(self): """ Tests the exception information """ try: raise ValueError("Some error") except ValueError: self.logger.log(logging.ERROR, "Error!", sys.exc_info()) latest = self.reader.get_log()[-1] self.assertTrue(isinstance(latest.exception, str), "Exception info must be a string") self.assertIn(__file__, latest.exception, "Incomplete exception info") # Check if the exception in the string representation self.assertIn(latest.exception, str(latest)) # Check invalid exception info for invalid in ([], [1, 2], (4, 5, 6)): self.logger.log(logging.ERROR, "Error!", invalid) latest = self.reader.get_log()[-1] self.assertEqual(latest.exception, '<Invalid exc_info>')	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 1192, 10576, 29899, 14934, 29901, 18351, 29899, 29947, 1192, 13, 15945, 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naturtag/controllers/taxon_search.py	JWCook/inat-image-tagger	1	108074	"""Components for searching for taxa""" from logging import getLogger from typing import Optional from pyinaturalist import RANKS, IconPhoto, Taxon from PySide6.QtCore import QSize, Qt, Signal, Slot from PySide6.QtGui import QIcon from PySide6.QtWidgets import QApplication, QComboBox, QLabel, QPushButton, QWidget from naturtag.app.style import fa_icon from naturtag.client import INAT_CLIENT from naturtag.constants import SELECTABLE_ICONIC_TAXA from naturtag.settings import Settings from naturtag.widgets import ( GridLayout, HorizontalLayout, PixmapLabel, TaxonAutocomplete, ToggleSwitch, VerticalLayout, ) from naturtag.widgets.images import IconLabel IGNORE_TERMS = ['sub', 'super', 'infra', 'epi', 'hybrid'] COMMON_RANKS = [r for r in RANKS if not any([k in r for k in IGNORE_TERMS])][::-1] logger = getLogger(__name__) class TaxonSearch(VerticalLayout): """Taxon search""" on_results = Signal(list) #: New search results were loaded on_reset = Signal() #: Input fields were reset def __init__(self, settings: Settings): super().__init__() self.selected_taxon: Taxon = None self.settings = settings self.setAlignment(Qt.AlignTop) # Taxon name autocomplete self.autocomplete = TaxonAutocomplete() search_group = self.add_group('Search', self, width=400) search_group.addWidget(self.autocomplete) self.autocomplete.returnPressed.connect(self.search) # Category inputs self.iconic_taxon_filters = IconicTaxonFilters() categories = self.add_group('Categories', self, width=400) categories.addWidget(self.iconic_taxon_filters) # Rank inputs self.ranks = self.add_group('Rank', self, width=400) self.reset_ranks() # Clear exact rank after selecting min or max, and vice versa self.min_rank.dropdown.activated.connect(self.exact_rank.reset) self.max_rank.dropdown.activated.connect(self.exact_rank.reset) self.exact_rank.dropdown.activated.connect(self.min_rank.reset) self.exact_rank.dropdown.activated.connect(self.max_rank.reset) # Button to search for children of selected taxon # TODO: If more than one toggle filter is added, consolidate with settings_menu.ToggleSetting group_box = self.add_group('Parent', self, width=400) button_layout = HorizontalLayout() button_layout.setAlignment(Qt.AlignLeft) button_layout.addWidget(IconLabel('mdi.file-tree', size=20)) group_box.addLayout(button_layout) self.search_children_desc = QLabel('Search within children of selected taxon') self.search_children_desc.setTextFormat(Qt.RichText) button_layout.addWidget(self.search_children_desc) button_layout.addStretch() self.search_children_switch = ToggleSwitch() button_layout.addWidget(self.search_children_switch) # Search/reset buttons button_layout = HorizontalLayout() search_button = QPushButton('Search') search_button.setMaximumWidth(200) search_button.setIcon(fa_icon('fa.search')) search_button.clicked.connect(self.search) button_layout.addWidget(search_button) reset_button = QPushButton('Reset') reset_button.setMaximumWidth(200) reset_button.setIcon(fa_icon('mdi.backspace')) reset_button.clicked.connect(self.reset) button_layout.addWidget(reset_button) self.addLayout(button_layout) def search(self): """Search for taxa with the currently selected filters""" taxon_ids = self.iconic_taxon_filters.selected_iconic_taxa if self.search_children_switch.isChecked(): taxon_ids.append(self.selected_taxon.id) taxa = INAT_CLIENT.taxa.search( q=self.autocomplete.text(), taxon_id=taxon_ids, rank=self.exact_rank.text, min_rank=self.min_rank.text, max_rank=self.max_rank.text, preferred_place_id=self.settings.preferred_place_id, locale=self.settings.locale, limit=30, ).all() logger.debug('\n'.join([str(t) for t in taxa[:10]])) self.on_results.emit(taxa) def reset(self): """Reset all search filters""" self.autocomplete.setText('') self.iconic_taxon_filters.reset() self.reset_ranks() self.search_children_switch.setChecked(False) self.on_reset.emit() def reset_ranks(self): self.exact_rank = RankList('Exact', 'fa5s.equals', all_ranks=self.settings.all_ranks) self.min_rank = RankList( 'Minimum', 'fa5s.greater-than-equal', all_ranks=self.settings.all_ranks ) self.max_rank = RankList( 'Maximum', 'fa5s.less-than-equal', all_ranks=self.settings.all_ranks ) self.ranks.clear() self.ranks.addLayout(self.exact_rank) self.ranks.addLayout(self.min_rank) self.ranks.addLayout(self.max_rank) @Slot(Taxon) def set_taxon(self, taxon: Taxon): self.selected_taxon = taxon self.search_children_desc.setText(f'Search within children of <b><i>{taxon.name}</i></b>') class IconicTaxonFilters(QWidget): """Filters for iconic taxa""" on_select = Signal(int) # A filter was selected def __init__(self): super().__init__() self.button_layout = GridLayout(self, n_columns=6) self.setFocusPolicy(Qt.StrongFocus) for id, name in SELECTABLE_ICONIC_TAXA.items(): button = IconicTaxonButton(id, name) button.clicked.connect(self.on_click) self.button_layout.add_widget(button) @property def selected_iconic_taxa(self) -> list[int]: return [t.taxon_id for t in self.button_layout.widgets if t.isChecked()] def reset(self, except_id: str = None): """Reset all buttons, or all except one""" for button in self.button_layout.widgets: if button.taxon_id != except_id: button.setChecked(False) @Slot() def on_click(self): """Ctrl-click to select multiple buttons. Otherwise, when pressing a button, uncheck all other buttons and display the corresponding taxon. """ if QApplication.keyboardModifiers() != Qt.ControlModifier: button_taxon_id = self.sender().taxon_id self.reset(except_id=button_taxon_id) self.on_select.emit(button_taxon_id) class IconicTaxonButton(QPushButton): """Button used as a filter for iconic taxa""" def __init__(self, taxon_id: int, name: str): super().__init__() self.taxon_id = taxon_id self.name = name photo = IconPhoto.from_iconic_taxon(name) img = PixmapLabel(url=photo.thumbnail_url) self.setIcon(QIcon(img.pixmap())) self.setIconSize(QSize(45, 45)) self.setCheckable(True) self.setFixedSize(50, 50) self.setContentsMargins(0, 0, 0, 0) self.setToolTip(name) class RankList(HorizontalLayout): """Taxonomic rank dropdown""" def __init__(self, label: str, icon_str: str, all_ranks: bool = False): super().__init__() self.setAlignment(Qt.AlignLeft) self.addWidget(IconLabel(icon_str, size=20)) self.addWidget(QLabel(label)) self.addStretch() ranks = RANKS if all_ranks else COMMON_RANKS self.dropdown = QComboBox() 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wemake_python_styleguide/visitors/ast/complexity/jones.py	lensvol/wemake-python-styleguide	1	1607652	# -- coding: utf-8 -- """ Jones Complexity to count inline complexity. Based on the original `jones-complexity` project: https://github.com/Miserlou/JonesComplexity Original project is licensed under MIT. """ import ast from collections import defaultdict from statistics import median from typing import DefaultDict, List from typing_extensions import final from wemake_python_styleguide.compat.aliases import FunctionNodes from wemake_python_styleguide.violations.complexity import ( JonesScoreViolation, LineComplexityViolation, ) from wemake_python_styleguide.visitors.base import BaseNodeVisitor @final class JonesComplexityVisitor(BaseNodeVisitor): """ This visitor is used to find complex lines in the code. Calculates the number of AST nodes per line of code. Also calculates the median nodes/line score. Then compares these numbers to the given tressholds. Some nodes are ignored because there's no sense in analyzing them. Some nodes like type annotations are not affecting line complexity, so we do not count them. """ _ignored_nodes = ( ast.ClassDef, FunctionNodes, ) def __init__(self, args, *kwargs) -> None: """Initializes line number counter.""" super().__init__(args, **kwargs) self._lines: DefaultDict[int, List[ast.AST]] = defaultdict(list) self._to_ignore: List[ast.AST] = [] def visit(self, node: ast.AST) -> None: """ Visits all nodes, sums the number of nodes per line. Then calculates the median value of all line results. Raises: JonesScoreViolation LineComplexityViolation """ line_number = getattr(node, 'lineno', None) is_ignored = isinstance(node, self._ignored_nodes) if line_number is not None and not is_ignored: if not self._maybe_ignore_child(node): self._lines[line_number].append(node) self.generic_visit(node) def _post_visit(self) -> None: """ Triggers after the whole module was processed. Checks each line for its complexity, compares it to the tresshold. We also calculate the final Jones score for the whole module. """ for line_nodes in self._lines.values(): complexity = len(line_nodes) if complexity > self.options.max_line_complexity: self.add_violation( LineComplexityViolation( line_nodes[0], text=str(complexity), baseline=self.options.max_line_complexity, ), ) node_counts = [len(nodes) for nodes in self._lines.values()] total_count = median(node_counts) if node_counts else 0 if total_count > self.options.max_jones_score: self.add_violation( JonesScoreViolation( text=str(total_count), baseline=self.options.max_jones_score, ), ) def _maybe_ignore_child(self, node: ast.AST) -> bool: if isinstance(node, ast.AnnAssign): self._to_ignore.append(node.annotation) return node in self._to_ignore	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 15945, 29908, 13, 29967, 2873, 26596, 537, 304, 2302, 10583, 13644, 29889, 13, 13, 29933, 1463, 373, 278, 2441, 421, 29926, 2873, 29899, 19676, 537, 29952, 2060, 29901, 13, 991, 597, 3292, 29889, 510, 29914, 29924, 7608, 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python/test/resource/test_dataset_mixed.py	Fosstack/vmaf	2,874	109074	<gh_stars>1000+ dataset_name = 'example' quality_width = 1920 quality_height = 1080 from vmaf.config import VmafConfig ref_videos = [ {'content_id': 0, 'path': VmafConfig.resource_path('yuv', 'checkerboard_1920_1080_10_3_0_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 1920, 'height': 1080}, {'content_id': 1, 'path': VmafConfig.resource_path('yuv', 'flat_1920_1080_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 720, 'height': 480}, ] dis_videos = [ {'content_id': 0, 'asset_id': 0, 'dmos': 100, 'path': VmafConfig.resource_path('yuv', 'checkerboard_1920_1080_10_3_0_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 1920, 'height': 1080}, # ref {'content_id': 0, 'asset_id': 1, 'dmos': 50, 'path': VmafConfig.resource_path('yuv', 'checkerboard_1920_1080_10_3_1_0.264'), 'yuv_fmt': 'notyuv',}, {'content_id': 1, 'asset_id': 2, 'dmos': 100, 'path': VmafConfig.resource_path('yuv', 'flat_1920_1080_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 720, 'height': 480}, # ref {'content_id': 1, 'asset_id': 3, 'dmos': 80, 'path': VmafConfig.resource_path('yuv', 'flat_1920_1080_10.264'), 'yuv_fmt': 'notyuv',}, ]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29900, 29900, 29974, 13, 24713, 29918, 978, 353, 525, 4773, 29915, 13, 13, 29567, 29918, 2103, 353, 29871, 29896, 29929, 29906, 29900, 13, 29567, 29918, 3545, 353, 29871, 29896, 29900, 29947, 29900, 13, 13, 3166, 325, 655, 29888, 29889, 2917, 1053, 478, 655, 29888, 3991, 13, 13, 999, 29918, 29894, 7958, 353, 518, 13, 1678, 11117, 3051, 29918, 333, 2396, 29871, 29900, 29892, 525, 2084, 2396, 478, 655, 29888, 3991, 29889, 10314, 29918, 2084, 877, 29891, 4090, 742, 525, 3198, 261, 3377, 29918, 29896, 29929, 29906, 29900, 29918, 29896, 29900, 29947, 29900, 29918, 29896, 29900, 29918, 29941, 29918, 29900, 29918, 29900, 29889, 29891, 4090, 5477, 525, 29891, 4090, 29918, 23479, 2396, 525, 29891, 4090, 29946, 29906, 29900, 29886, 742, 525, 2103, 2396, 29871, 29896, 29929, 29906, 29900, 29892, 525, 3545, 2396, 29871, 29896, 29900, 29947, 29900, 1118, 13, 13, 1678, 11117, 3051, 29918, 333, 2396, 29871, 29896, 29892, 525, 2084, 2396, 478, 655, 29888, 3991, 29889, 10314, 29918, 2084, 877, 29891, 4090, 742, 525, 20620, 29918, 29896, 29929, 29906, 29900, 29918, 29896, 29900, 29947, 29900, 29918, 29900, 29889, 29891, 4090, 5477, 525, 29891, 4090, 29918, 23479, 2396, 525, 29891, 4090, 29946, 29906, 29900, 29886, 742, 525, 2103, 2396, 29871, 29955, 29906, 29900, 29892, 525, 3545, 2396, 29871, 29946, 29947, 29900, 1118, 13, 29962, 13, 13, 2218, 29918, 29894, 7958, 353, 518, 13, 1678, 11117, 3051, 29918, 333, 2396, 29871, 29900, 29892, 525, 24129, 29918, 333, 2396, 29871, 29900, 29892, 525, 29881, 7681, 2396, 29871, 29896, 29900, 29900, 29892, 525, 2084, 2396, 478, 655, 29888, 3991, 29889, 10314, 29918, 2084, 877, 29891, 4090, 742, 525, 3198, 261, 3377, 29918, 29896, 29929, 29906, 29900, 29918, 29896, 29900, 29947, 29900, 29918, 29896, 29900, 29918, 29941, 29918, 29900, 29918, 29900, 29889, 29891, 4090, 5477, 525, 29891, 4090, 29918, 23479, 2396, 525, 29891, 4090, 29946, 29906, 29900, 29886, 742, 525, 2103, 2396, 29871, 29896, 29929, 29906, 29900, 29892, 525, 3545, 2396, 29871, 29896, 29900, 29947, 29900, 1118, 396, 2143, 13, 1678, 11117, 3051, 29918, 333, 2396, 29871, 29900, 29892, 525, 24129, 29918, 333, 2396, 29871, 29896, 29892, 525, 29881, 7681, 2396, 29871, 29945, 29900, 29892, 29871, 525, 2084, 2396, 478, 655, 29888, 3991, 29889, 10314, 29918, 2084, 877, 29891, 4090, 742, 525, 3198, 261, 3377, 29918, 29896, 29929, 29906, 29900, 29918, 29896, 29900, 29947, 29900, 29918, 29896, 29900, 29918, 29941, 29918, 29896, 29918, 29900, 29889, 29906, 29953, 29946, 5477, 525, 29891, 4090, 29918, 23479, 2396, 525, 1333, 29891, 4090, 742, 1118, 13, 13, 1678, 11117, 3051, 29918, 333, 2396, 29871, 29896, 29892, 525, 24129, 29918, 333, 2396, 29871, 29906, 29892, 525, 29881, 7681, 2396, 29871, 29896, 29900, 29900, 29892, 29871, 525, 2084, 2396, 478, 655, 29888, 3991, 29889, 10314, 29918, 2084, 877, 29891, 4090, 742, 525, 20620, 29918, 29896, 29929, 29906, 29900, 29918, 29896, 29900, 29947, 29900, 29918, 29900, 29889, 29891, 4090, 5477, 525, 29891, 4090, 29918, 23479, 2396, 525, 29891, 4090, 29946, 29906, 29900, 29886, 742, 525, 2103, 2396, 29871, 29955, 29906, 29900, 29892, 525, 3545, 2396, 29871, 29946, 29947, 29900, 1118, 396, 2143, 13, 1678, 11117, 3051, 29918, 333, 2396, 29871, 29896, 29892, 525, 24129, 29918, 333, 2396, 29871, 29941, 29892, 525, 29881, 7681, 2396, 29871, 29947, 29900, 29892, 29871, 525, 2084, 2396, 478, 655, 29888, 3991, 29889, 10314, 29918, 2084, 877, 29891, 4090, 742, 525, 20620, 29918, 29896, 29929, 29906, 29900, 29918, 29896, 29900, 29947, 29900, 29918, 29896, 29900, 29889, 29906, 29953, 29946, 5477, 525, 29891, 4090, 29918, 23479, 2396, 525, 1333, 29891, 4090, 742, 1118, 13, 29962, 13, 2 ]
cinder/tests/unit/zonemanager/test_cisco_fc_zone_driver.py	lightsey/cinder	3	76346	# (c) Copyright 2014 Cisco Systems Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # """Unit tests for Cisco FC zone driver.""" from unittest import mock from oslo_concurrency import processutils from oslo_config import cfg from oslo_utils import importutils from cinder import exception from cinder import test from cinder.volume import configuration as conf from cinder.zonemanager.drivers.cisco import cisco_fc_zone_driver as driver _active_cfg_before_add = {} _active_cfg_before_delete = { 'zones': { 'openstack10008c7cff523b0120240002ac000a50': ( ['fd00:c2b6:b24b:be67:2827:688d:e6a1:6a3b', 'fc00:db20:35b:7399::5'])}, 'active_zone_config': 'cfg1'} _active_cfg_default = { 'zones': { 'openstack10008c7cff523b0120240002ac000b90': ( ['fd00:c2b6:b24b:be67:2827:688d:e6a1:6a3b', 'fc00:db20:35b:7399::5'])}, 'active_zone_config': 'cfg1'} _activate = True _zone_name = 'openstack10008c7cff523b0120240002ac000a50' _target_ns_map = {'100000051e55a100': ['20240002ac000a50']} _zoning_status = {'mode': 'basis', 'session': 'none'} _initiator_ns_map = {'100000051e55a100': ['10008c7cff523b01']} _zone_map_to_add = {'openstack10008c7cff523b0120240002ac000a50': ( ['fd00:c2b6:b24b:be67:2827:688d:e6a1:6a3b', 'fc00:db20:35b:7399::5'])} _initiator_target_map = {'10008c7cff523b01': ['20240002ac000a50']} _device_map_to_verify = { '304': { 'initiator_port_wwn_list': [ '10008c7cff523b01'], 'target_port_wwn_list': ['20240002ac000a50']}} _fabric_wwn = '304' class CiscoFcZoneDriverBaseTest(object): def setup_config(self, is_normal, mode): fc_test_opts = [ cfg.StrOpt('fc_fabric_address_CISCO_FAB_1', default='10.24.48.213', help='FC Fabric names'), ] configuration = conf.Configuration(fc_test_opts) # fill up config configuration.zoning_mode = 'fabric' configuration.zone_driver = ('cinder.tests.unit.zonemanager.' 'test_cisco_fc_zone_driver.' 'FakeCiscoFCZoneDriver') configuration.cisco_sb_connector = ('cinder.tests.unit.zonemanager.' 'test_cisco_fc_zone_driver' '.FakeCiscoFCZoneClientCLI') configuration.zoning_policy = 'initiator-target' configuration.zone_activate = True configuration.zone_name_prefix = 'openstack' configuration.fc_san_lookup_service = ('cinder.tests.unit.zonemanager.' 'test_cisco_fc_zone_driver.' 'FakeCiscoFCSanLookupService') configuration.fc_fabric_names = 'CISCO_FAB_1' configuration.fc_fabric_address_CISCO_FAB_1 = '172.21.60.220' if (is_normal): configuration.fc_fabric_user_CISCO_FAB_1 = 'admin' else: configuration.fc_fabric_user_CISCO_FAB_1 = 'invaliduser' configuration.fc_fabric_password_CISCO_FAB_1 = '<PASSWORD>' if (mode == 1): configuration.zoning_policy_CISCO_FAB_1 = 'initiator-target' elif (mode == 2): configuration.zoning_policy_CISCO_FAB_1 = 'initiator' else: configuration.zoning_policy_CISCO_FAB_1 = 'initiator-target' configuration.zone_activate_CISCO_FAB_1 = True configuration.zone_name_prefix_CISCO_FAB_1 = 'openstack' configuration.zoning_vsan_CISCO_FAB_1 = '304' return configuration class TestCiscoFcZoneDriver(CiscoFcZoneDriverBaseTest, test.TestCase): def setUp(self): super(TestCiscoFcZoneDriver, self).setUp() # setup config for normal flow self.setup_driver(self.setup_config(True, 1)) GlobalVars._zone_state = [] def setup_driver(self, config): self.driver = importutils.import_object( 'cinder.zonemanager.drivers.cisco.cisco_fc_zone_driver' '.CiscoFCZoneDriver', configuration=config) def fake_get_active_zone_set(self, fabric_ip, fabric_user, fabric_pwd, zoning_vsan): return GlobalVars._active_cfg def fake_get_san_context(self, target_wwn_list): fabric_map = {} return fabric_map def test_delete_connection(self): GlobalVars._is_normal_test = True GlobalVars._active_cfg = _active_cfg_before_delete self.driver.delete_connection( 'CISCO_FAB_1', _initiator_target_map) self.assertNotIn(_zone_name, GlobalVars._zone_state) def test_delete_connection_for_initiator_mode(self): GlobalVars._is_normal_test = True GlobalVars._active_cfg = _active_cfg_before_delete self.setup_driver(self.setup_config(True, 2)) self.driver.delete_connection( 'CISCO_FAB_1', _initiator_target_map) self.assertNotIn(_zone_name, GlobalVars._zone_state) @mock.patch.object(driver.CiscoFCZoneDriver, 'get_zoning_status') @mock.patch.object(driver.CiscoFCZoneDriver, 'get_active_zone_set') def test_add_connection(self, get_active_zone_set_mock, get_zoning_status_mock): """Test normal flows.""" GlobalVars._is_normal_test = True GlobalVars._zone_state = [] self.setup_driver(self.setup_config(True, 1)) get_zoning_status_mock.return_value = {'mode': 'basis', 'session': 'none'} get_active_zone_set_mock.return_value = _active_cfg_default self.driver.add_connection('CISCO_FAB_1', _initiator_target_map) self.assertTrue(_zone_name in GlobalVars._zone_state) @mock.patch.object(driver.CiscoFCZoneDriver, 'get_zoning_status') @mock.patch.object(driver.CiscoFCZoneDriver, 'get_active_zone_set') def test_add_connection_with_no_cfg(self, get_active_zone_set_mock, get_zoning_status_mock): """Test normal flows.""" GlobalVars._is_normal_test = True GlobalVars._zone_state = [] self.setup_driver(self.setup_config(True, 1)) get_zoning_status_mock.return_value = {'mode': 'basis', 'session': 'none'} get_active_zone_set_mock.return_value = {} self.driver.add_connection('CISCO_FAB_1', _initiator_target_map) self.assertTrue(_zone_name in GlobalVars._zone_state) def test_add_connection_for_invalid_fabric(self): """Test abnormal flows.""" GlobalVars._is_normal_test = True GlobalVars._active_cfg = _active_cfg_before_add GlobalVars._is_normal_test = False self.setup_driver(self.setup_config(False, 1)) self.assertRaises(exception.FCZoneDriverException, self.driver.add_connection, 'CISCO_FAB_1', _initiator_target_map) def test_delete_connection_for_invalid_fabric(self): GlobalVars._active_cfg = _active_cfg_before_delete GlobalVars._is_normal_test = False self.setup_driver(self.setup_config(False, 1)) self.assertRaises(exception.FCZoneDriverException, self.driver.delete_connection, 'CISCO_FAB_1', _initiator_target_map) class FakeCiscoFCZoneClientCLI(object): def __init__(self, ipaddress, username, password, port, vsan): if not GlobalVars._is_normal_test: raise processutils.ProcessExecutionError( "Unable to connect to fabric") def get_active_zone_set(self): return GlobalVars._active_cfg def add_zones(self, zones, activate, fabric_vsan, active_zone_set, zone_status): GlobalVars._zone_state.extend(zones.keys()) def delete_zones(self, zone_names, isActivate): zone_list = zone_names.split(';') GlobalVars._zone_state = [ x for x in GlobalVars._zone_state if x not in zone_list] def get_nameserver_info(self): return _target_ns_map def get_zoning_status(self): return _zoning_status def close_connection(self): pass def cleanup(self): pass class FakeCiscoFCSanLookupService(object): def get_device_mapping_from_network(self, initiator_wwn_list, target_wwn_list): device_map = {} initiators = [] targets = [] for i in initiator_wwn_list: if (i in _initiator_ns_map[_fabric_wwn]): initiators.append(i) for t in target_wwn_list: if (t in _target_ns_map[_fabric_wwn]): targets.append(t) device_map[_fabric_wwn] = { 'initiator_port_wwn_list': initiators, 'target_port_wwn_list': targets} return device_map class GlobalVars(object): global _active_cfg _active_cfg = {} global _zone_state _zone_state = list() global _is_normal_test _is_normal_test = True global _zoning_status _zoning_status = {}	[ 1, 396, 1678, 313, 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coreservices/partsrelationshipservice/connectors_scripts/consume_artifact.py	Agera-CatenaX/SpikeEclipseConnectorPRSTractusx	0	66595	<gh_stars>0 #!/usr/bin/env python3 # # Copyright 2020 Fraunhofer Institute for Software and Systems Engineering # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # # This script is based on the following script: # https://github.com/International-Data-Spaces-Association/DataspaceConnector/blob/main/scripts/tests/contract_negotation_allow_access.py # The original script creates an artifact. This script only consume an artifact. # from resourceapi import ResourceApi from idsapi import IdsApi import requests import pprint import sys consumer_url = sys.argv[1] consumed_artifact = sys.argv[2] relative_reference = sys.argv[3] # User having an access to the consumer connector. user = sys.argv[4] password = sys.argv[5] # Suppress ssl verification warning requests.packages.urllib3.disable_warnings() consumerResources = ResourceApi(consumer_url, auth=(user, password)) pprint.pprint(consumed_artifact) data = consumerResources.get_data(consumed_artifact, relative_reference, headers={"accept": "application/json"}).text pprint.pprint("Consumer data url to access the artifact:") pprint.pprint(consumed_artifact + "/data") pprint.pprint("Data obtained:") pprint.pprint(data) exit(0)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 29937, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29900, 7347, 348, 1251, 571, 8907, 363, 18540, 322, 23985, 22557, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 1678, 1732, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 29899, 29906, 29889, 29900, 13, 29937, 13, 29937, 25870, 3734, 491, 22903, 4307, 470, 15502, 304, 297, 5007, 29892, 7047, 13, 29937, 13235, 1090, 278, 19245, 338, 13235, 373, 385, 376, 3289, 8519, 29908, 350, 3289, 3235, 29892, 13, 29937, 399, 1806, 8187, 2692, 399, 1718, 29934, 13566, 29059, 6323, 8707, 29928, 22122, 29903, 8079, 13764, 29979, 476, 22255, 29892, 2845, 4653, 470, 2411, 2957, 29889, 13, 29937, 2823, 278, 19245, 363, 278, 2702, 4086, 14765, 1076, 11239, 322, 13, 29937, 27028, 1090, 278, 19245, 29889, 13, 29937, 13, 13, 29937, 13, 29937, 910, 2471, 338, 2729, 373, 278, 1494, 2471, 29901, 13, 29937, 2045, 597, 3292, 29889, 510, 29914, 17579, 1288, 29899, 1469, 29899, 5592, 3302, 29899, 29254, 362, 29914, 16390, 294, 3535, 20971, 2801, 29914, 10054, 29914, 3396, 29914, 16713, 29914, 21150, 29914, 1285, 1461, 29918, 10052, 327, 362, 29918, 9536, 29918, 5943, 29889, 2272, 13, 29937, 450, 2441, 2471, 10017, 385, 24238, 29889, 910, 2471, 871, 29151, 385, 24238, 29889, 13, 29937, 13, 13, 3166, 6503, 2754, 1053, 18981, 11713, 13, 3166, 18999, 2754, 1053, 5163, 29879, 11713, 13, 5215, 7274, 13, 5215, 282, 2158, 13, 5215, 10876, 13, 13, 13, 25978, 261, 29918, 2271, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 25978, 287, 29918, 8813, 353, 10876, 29889, 19218, 29961, 29906, 29962, 13, 22925, 29918, 5679, 353, 10876, 29889, 19218, 29961, 29941, 29962, 13, 13, 29937, 4911, 2534, 385, 2130, 304, 278, 21691, 1826, 2801, 29889, 13, 1792, 353, 10876, 29889, 19218, 29961, 29946, 29962, 13, 5630, 353, 10876, 29889, 19218, 29961, 29945, 29962, 13, 13, 29937, 9179, 1253, 24250, 1147, 2450, 9177, 13, 24830, 29889, 8318, 29889, 2271, 1982, 29941, 29889, 20472, 29918, 25442, 886, 580, 13, 13, 13, 25978, 261, 13770, 353, 18981, 11713, 29898, 25978, 261, 29918, 2271, 29892, 4817, 7607, 1792, 29892, 4800, 876, 13, 13, 407, 29878, 524, 29889, 407, 29878, 524, 29898, 25978, 287, 29918, 8813, 29897, 13, 13, 1272, 353, 21691, 13770, 29889, 657, 29918, 1272, 29898, 25978, 287, 29918, 8813, 29892, 6198, 29918, 5679, 29892, 9066, 3790, 29908, 16044, 1115, 376, 6214, 29914, 3126, 29908, 7690, 726, 13, 13, 407, 29878, 524, 29889, 407, 29878, 524, 703, 13696, 4680, 848, 3142, 304, 2130, 278, 24238, 29901, 1159, 13, 407, 29878, 524, 29889, 407, 29878, 524, 29898, 25978, 287, 29918, 8813, 718, 5591, 1272, 1159, 13, 13, 407, 29878, 524, 29889, 407, 29878, 524, 703, 1469, 7625, 29901, 1159, 13, 407, 29878, 524, 29889, 407, 29878, 524, 29898, 1272, 29897, 13, 13, 13322, 29898, 29900, 29897, 13, 2 ]
topfarm/tests/test_constraint/test_capacityComp.py	DTUWindEnergy/TopFarm2	4	170905	<gh_stars>1-10 from topfarm.constraint_components.capacity import CapacityConstraint import numpy as np import topfarm from topfarm.tests.test_files import xy3tb from topfarm._topfarm import TopFarmProblem from topfarm.easy_drivers import EasySimpleGADriver def test_capacity_as_penalty(): tf = xy3tb.get_tf(design_vars={topfarm.type_key: ([0, 0, 0], 0, 2)}, constraints=[CapacityConstraint(5, rated_power_array=[100, 10000, 10])], driver=EasySimpleGADriver(), plot_comp=None) # check normal result that satisfies the penalty assert tf.evaluate()[0] == 141.0 # check penalized result if capacity constraint is not satisfied assert tf.evaluate({'type': np.array([0, 1, 1])})[0] == 1e10 + 15.1 def test_capacity_tf(): # 15 turbines, 5 different types, 50MW max installed capacity n_wt = 15 rated_power_array_kW = np.linspace(1, 10, int(n_wt / 3)) * 1e3 inputtypes = np.tile(np.array([range(int(n_wt / 3))]), 3).flatten() tf = TopFarmProblem({'type': inputtypes}, constraints=[CapacityConstraint(max_capacity=50, rated_power_array=rated_power_array_kW)], driver=EasySimpleGADriver() ) tf.evaluate() # case above the maximum allowed installed capacity, yes penalty assert tf["totalcapacity"] == 82.5 assert tf['penalty_comp.penalty_capacity_comp_50'] == 32.5 # set all turbines type 0, still 15 turbines and re-run the problem tf.evaluate({'type': inputtypes * 0}) # case below the maximum allowed installed capacity, no penalty assert tf["totalcapacity"] == 15 assert tf['penalty_comp.penalty_capacity_comp_50'][0] == 0.0	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 2246, 29888, 2817, 29889, 13646, 29918, 14036, 29889, 5030, 5946, 1053, 5915, 5946, 21529, 13, 5215, 12655, 408, 7442, 13, 5215, 2246, 29888, 2817, 13, 3166, 2246, 29888, 2817, 29889, 21150, 29889, 1688, 29918, 5325, 1053, 921, 29891, 29941, 22625, 13, 3166, 2246, 29888, 2817, 3032, 3332, 29888, 2817, 1053, 7488, 29943, 2817, 26604, 13, 3166, 2246, 29888, 2817, 29889, 29872, 8995, 29918, 24477, 874, 1053, 382, 8995, 15427, 29954, 3035, 3511, 13, 13, 13, 1753, 1243, 29918, 5030, 5946, 29918, 294, 29918, 2238, 18745, 7295, 13, 1678, 15886, 353, 921, 29891, 29941, 22625, 29889, 657, 29918, 13264, 29898, 13892, 29918, 16908, 3790, 3332, 29888, 2817, 29889, 1853, 29918, 1989, 29901, 9310, 29900, 29892, 29871, 29900, 29892, 29871, 29900, 1402, 29871, 29900, 29892, 29871, 29906, 19230, 13, 462, 418, 11938, 11759, 12415, 5946, 21529, 29898, 29945, 29892, 364, 630, 29918, 13519, 29918, 2378, 11759, 29896, 29900, 29900, 29892, 29871, 29896, 29900, 29900, 29900, 29900, 29892, 29871, 29896, 29900, 2314, 1402, 13, 462, 418, 7156, 29922, 29923, 8995, 15427, 29954, 3035, 3511, 3285, 13, 462, 418, 6492, 29918, 2388, 29922, 8516, 29897, 13, 13, 1678, 396, 1423, 4226, 1121, 393, 17150, 278, 27368, 13, 1678, 4974, 15886, 29889, 24219, 403, 580, 29961, 29900, 29962, 1275, 29871, 29896, 29946, 29896, 29889, 29900, 13, 1678, 396, 1423, 6584, 284, 1891, 1121, 565, 13284, 7276, 338, 451, 15787, 13, 1678, 4974, 15886, 29889, 24219, 403, 3319, 29915, 1853, 2396, 7442, 29889, 2378, 4197, 29900, 29892, 29871, 29896, 29892, 29871, 29896, 2314, 1800, 29961, 29900, 29962, 1275, 29871, 29896, 29872, 29896, 29900, 718, 29871, 29896, 29945, 29889, 29896, 13, 13, 13, 1753, 1243, 29918, 5030, 5946, 29918, 13264, 7295, 13, 1678, 396, 29871, 29896, 29945, 7013, 29890, 1475, 29892, 29871, 29945, 1422, 4072, 29892, 29871, 29945, 29900, 25365, 4236, 5130, 13284, 13, 1678, 302, 29918, 14554, 353, 29871, 29896, 29945, 13, 1678, 364, 630, 29918, 13519, 29918, 2378, 29918, 29895, 29956, 353, 7442, 29889, 1915, 3493, 29898, 29896, 29892, 29871, 29896, 29900, 29892, 938, 29898, 29876, 29918, 14554, 847, 29871, 29941, 876, 334, 29871, 29896, 29872, 29941, 13, 13, 1678, 1881, 8768, 353, 7442, 29889, 29873, 488, 29898, 9302, 29889, 2378, 4197, 3881, 29898, 524, 29898, 29876, 29918, 14554, 847, 29871, 29941, 876, 11724, 29871, 29941, 467, 1579, 8606, 580, 13, 1678, 15886, 353, 7488, 29943, 2817, 26604, 3319, 29915, 1853, 2396, 1881, 8768, 1118, 13, 462, 4706, 11938, 11759, 12415, 5946, 21529, 29898, 3317, 29918, 5030, 5946, 29922, 29945, 29900, 29892, 364, 630, 29918, 13519, 29918, 2378, 29922, 29878, 630, 29918, 13519, 29918, 2378, 29918, 29895, 29956, 29897, 1402, 13, 462, 4706, 7156, 29922, 29923, 8995, 15427, 29954, 3035, 3511, 580, 13, 462, 4706, 1723, 13, 13, 1678, 15886, 29889, 24219, 403, 580, 13, 1678, 396, 1206, 2038, 278, 7472, 6068, 5130, 13284, 29892, 4874, 27368, 13, 1678, 4974, 15886, 3366, 7827, 5030, 5946, 3108, 1275, 29871, 29947, 29906, 29889, 29945, 13, 1678, 4974, 15886, 1839, 2238, 18745, 29918, 2388, 29889, 2238, 18745, 29918, 5030, 5946, 29918, 2388, 29918, 29945, 29900, 2033, 1275, 29871, 29941, 29906, 29889, 29945, 13, 13, 1678, 396, 731, 599, 7013, 29890, 1475, 1134, 29871, 29900, 29892, 1603, 29871, 29896, 29945, 7013, 29890, 1475, 322, 337, 29899, 3389, 278, 1108, 13, 1678, 15886, 29889, 24219, 403, 3319, 29915, 1853, 2396, 1881, 8768, 334, 29871, 29900, 1800, 13, 1678, 396, 1206, 2400, 278, 7472, 6068, 5130, 13284, 29892, 694, 27368, 13, 1678, 4974, 15886, 3366, 7827, 5030, 5946, 3108, 1275, 29871, 29896, 29945, 13, 1678, 4974, 15886, 1839, 2238, 18745, 29918, 2388, 29889, 2238, 18745, 29918, 5030, 5946, 29918, 2388, 29918, 29945, 29900, 2033, 29961, 29900, 29962, 1275, 29871, 29900, 29889, 29900, 13, 2 ]
examples/example_ME5ME6.py	bmachiel/python-substratestack	1	39300	#!/bin/env python # import the technology's complete stack definition from example import stack # in order to decrease simulation times, some metal layers can be removed from # the stack, allowing more oxide layers to be merged in the next step stack.remove_metal_layer_by_name('PO1') stack.remove_metal_layer_by_name('ME1') stack.remove_metal_layer_by_name('ME2') stack.remove_metal_layer_by_name('ME3') stack.remove_metal_layer_by_name('ME4') #stack.remove_metal_layer_by_name('ME5') #stack.remove_metal_layer_by_name('ME6') if __name__ == '__main__': # Print the standardized stack to example_ME5ME6_std.pdf stack.draw('example_ME5ME6_std', pages=3, single_page=True) # Merge oxide layers to reduce the stack's complexity, decreasing simulation # times stack.simplify() if __name__ == '__main__': # Print the simplified stack to example_ME5ME6.pdf stack.draw('example_ME5ME6', pages=3, single_page=True) # Write out a Momentum subtrate definition file of the simplified stack # write_momentum_substrate argument: filename (without extension), # infinite ground plane # NOTE: this might produce bad output when the stack has not been # simplified before! stack.write_momentum_substrate('example_ME5ME6', True) # Write out a Sonnet project that includes the simplified subtrate stack # write_sonnet_technology argument: filename (without extension) # NOTE: this might produce bad output when the stack has not been # simplified before! stack.write_sonnet_technology('example_ME5ME6')	[ 1, 18787, 2109, 29914, 6272, 3017, 13, 13, 29937, 1053, 278, 15483, 29915, 29879, 4866, 5096, 5023, 13, 3166, 1342, 1053, 5096, 13, 13, 13, 29937, 297, 1797, 304, 23806, 17402, 3064, 29892, 777, 11915, 15359, 508, 367, 6206, 515, 13, 29937, 278, 5096, 29892, 14372, 901, 19100, 680, 15359, 304, 367, 19412, 297, 278, 2446, 4331, 13, 1429, 29889, 5992, 29918, 2527, 284, 29918, 13148, 29918, 1609, 29918, 978, 877, 13152, 29896, 1495, 13, 1429, 29889, 5992, 29918, 2527, 284, 29918, 13148, 29918, 1609, 29918, 978, 877, 2303, 29896, 1495, 13, 1429, 29889, 5992, 29918, 2527, 284, 29918, 13148, 29918, 1609, 29918, 978, 877, 2303, 29906, 1495, 13, 1429, 29889, 5992, 29918, 2527, 284, 29918, 13148, 29918, 1609, 29918, 978, 877, 2303, 29941, 1495, 13, 1429, 29889, 5992, 29918, 2527, 284, 29918, 13148, 29918, 1609, 29918, 978, 877, 2303, 29946, 1495, 13, 29937, 1429, 29889, 5992, 29918, 2527, 284, 29918, 13148, 29918, 1609, 29918, 978, 877, 2303, 29945, 1495, 13, 29937, 1429, 29889, 5992, 29918, 2527, 284, 29918, 13148, 29918, 1609, 29918, 978, 877, 2303, 29953, 1495, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 396, 13905, 278, 3918, 1891, 5096, 304, 1342, 29918, 2303, 29945, 2303, 29953, 29918, 4172, 29889, 5140, 13, 1678, 5096, 29889, 4012, 877, 4773, 29918, 2303, 29945, 2303, 29953, 29918, 4172, 742, 6515, 29922, 29941, 29892, 2323, 29918, 3488, 29922, 5574, 29897, 13, 13, 29937, 4702, 479, 19100, 680, 15359, 304, 10032, 278, 5096, 29915, 29879, 13644, 29892, 9263, 5832, 17402, 13, 29937, 3064, 13, 1429, 29889, 3601, 572, 1598, 580, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 396, 13905, 278, 20875, 5096, 304, 1342, 29918, 2303, 29945, 2303, 29953, 29889, 5140, 13, 1678, 5096, 29889, 4012, 877, 4773, 29918, 2303, 29945, 2303, 29953, 742, 6515, 29922, 29941, 29892, 2323, 29918, 3488, 29922, 5574, 29897, 13, 13, 1678, 396, 14350, 714, 263, 341, 2932, 398, 1014, 509, 403, 5023, 934, 310, 278, 20875, 5096, 13, 1678, 396, 2436, 29918, 29885, 2932, 398, 29918, 27790, 403, 2980, 29901, 10422, 313, 14037, 6081, 511, 29871, 13, 1678, 396, 462, 462, 1678, 10362, 5962, 10694, 13, 1678, 396, 6058, 29923, 29901, 445, 1795, 7738, 4319, 1962, 746, 278, 5096, 756, 451, 1063, 13, 1678, 396, 259, 20875, 1434, 29991, 13, 1678, 5096, 29889, 3539, 29918, 29885, 2932, 398, 29918, 27790, 403, 877, 4773, 29918, 2303, 29945, 2303, 29953, 742, 5852, 29897, 13, 13, 1678, 396, 14350, 714, 263, 5791, 1212, 2060, 393, 7805, 278, 20875, 1014, 509, 403, 5096, 13, 1678, 396, 2436, 29918, 1100, 1212, 29918, 21695, 3002, 2980, 29901, 10422, 313, 14037, 6081, 29897, 13, 1678, 396, 6058, 29923, 29901, 445, 1795, 7738, 4319, 1962, 746, 278, 5096, 756, 451, 1063, 13, 1678, 396, 259, 20875, 1434, 29991, 13, 1678, 5096, 29889, 3539, 29918, 1100, 1212, 29918, 21695, 3002, 877, 4773, 29918, 2303, 29945, 2303, 29953, 1495, 13, 2 ]
decoders/b64Decode.py	crattis/dfir_scripts	6	197700	<reponame>crattis/dfir_scripts<filename>decoders/b64Decode.py #! python3 import base64 baseFile = open('base64.txt', 'r') decode = baseFile.read() plainFile = open('b64_plain.txt', 'wb') plainFile.write(base64.b64decode(decode)) baseFile.close() plainFile.close()	[ 1, 529, 276, 1112, 420, 29958, 7283, 1131, 275, 29914, 2176, 381, 29918, 16713, 29966, 9507, 29958, 7099, 397, 414, 29914, 29890, 29953, 29946, 2772, 401, 29889, 2272, 13, 29937, 29991, 3017, 29941, 30004, 13, 5215, 2967, 29953, 29946, 30004, 13, 30004, 13, 3188, 2283, 353, 1722, 877, 3188, 29953, 29946, 29889, 3945, 742, 525, 29878, 1495, 30004, 13, 30004, 13, 13808, 353, 2967, 2283, 29889, 949, 26471, 13, 30004, 13, 24595, 2283, 353, 1722, 877, 29890, 29953, 29946, 29918, 24595, 29889, 3945, 742, 525, 29893, 29890, 1495, 30004, 13, 24595, 2283, 29889, 3539, 29898, 3188, 29953, 29946, 29889, 29890, 29953, 29946, 13808, 29898, 13808, 876, 30004, 13, 30004, 13, 30004, 13, 3188, 2283, 29889, 5358, 26471, 13, 24595, 2283, 29889, 5358, 26471, 13, 2 ]
demo_numpy/numpy_11_single_array.py	caserwin/daily-learning-python	1	168313	#!/usr/bin/env python # -- coding: utf-8 -- # @Time : 2019-04-17 15:58 # @Author : erwin import numpy as np from common.util_function import * np.set_printoptions(precision=3) arr = np.linspace(0, 100, 10).reshape((2, 5)) print_line("原始数据") print_br(arr) print_line("单个array操作") print_br(np.add(arr, 2)) print_br(np.subtract(arr, 2)) print_br(np.multiply(arr, 2)) print_br(np.divide(arr, 2)) print_br(np.power(arr, 2)) print_line("平方以及开方") print_br(np.power(arr, 2)) print_br(np.sqrt(arr)) print_line("sin/cos/log/abs") print_br(np.sin(arr)) print_br(np.cos(arr)) # print_br(np.log(arr1)) print_br(np.abs(arr)) print_line("向上取整/向下取整/四舍五入") print_br(np.ceil(arr)) print_br(np.floor(arr)) print_br(np.round(arr))	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 29937, 732, 2481, 1678, 584, 29871, 29906, 29900, 29896, 29929, 29899, 29900, 29946, 29899, 29896, 29955, 29871, 29896, 29945, 29901, 29945, 29947, 13, 29937, 732, 13720, 29871, 584, 604, 5080, 13, 5215, 12655, 408, 7442, 13, 3166, 3619, 29889, 4422, 29918, 2220, 1053, 334, 13, 13, 9302, 29889, 842, 29918, 558, 8941, 1980, 29898, 17990, 2459, 29922, 29941, 29897, 13, 13, 2749, 353, 7442, 29889, 1915, 3493, 29898, 29900, 29892, 29871, 29896, 29900, 29900, 29892, 29871, 29896, 29900, 467, 690, 14443, 3552, 29906, 29892, 29871, 29945, 876, 13, 2158, 29918, 1220, 703, 30667, 31020, 30354, 30763, 1159, 13, 2158, 29918, 1182, 29898, 2749, 29897, 13, 13, 2158, 29918, 1220, 703, 31166, 30502, 2378, 31904, 30732, 1159, 13, 2158, 29918, 1182, 29898, 9302, 29889, 1202, 29898, 2749, 29892, 29871, 29906, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 1491, 29873, 1461, 29898, 2749, 29892, 29871, 29906, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 18056, 368, 29898, 2749, 29892, 29871, 29906, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 4563, 680, 29898, 2749, 29892, 29871, 29906, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 13519, 29898, 2749, 29892, 29871, 29906, 876, 13, 13, 2158, 29918, 1220, 703, 30606, 30525, 30651, 31436, 31026, 30525, 1159, 13, 2158, 29918, 1182, 29898, 9302, 29889, 13519, 29898, 2749, 29892, 29871, 29906, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 3676, 29898, 2749, 876, 13, 13, 2158, 29918, 1220, 703, 5223, 29914, 3944, 29914, 1188, 29914, 6897, 1159, 13, 2158, 29918, 1182, 29898, 9302, 29889, 5223, 29898, 2749, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 3944, 29898, 2749, 876, 13, 29937, 1596, 29918, 1182, 29898, 9302, 29889, 1188, 29898, 2749, 29896, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 6897, 29898, 2749, 876, 13, 13, 2158, 29918, 1220, 703, 31331, 30429, 30683, 233, 152, 183, 29914, 31331, 30557, 30683, 233, 152, 183, 29914, 30928, 235, 139, 144, 30904, 30752, 1159, 13, 2158, 29918, 1182, 29898, 9302, 29889, 27696, 29898, 2749, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 14939, 29898, 2749, 876, 13, 2158, 29918, 1182, 29898, 9302, 29889, 14486, 29898, 2749, 876, 13, 2 ]
valorant_api/httpclient.py	TriDiscord/valorant-api	0	91386	<gh_stars>0 import requests from .exceptions import * import json import aiohttp # class MainClient: # headers: dict = {} # run_async: bool # get = None # def __init__(self, headers: dict, run_async: bool = False) -> None: # self.headers = headers # self.run_async = run_async # def GetSync(self,endpoint: str,params: dict = None): # client = SyncClient # client.headers = self.headers # return client.get(endpoint, endpoint, params) # async def GetAsync(self,endpoint: str,params: dict=None): # client = AsyncClient # client.headers = self.headers # return await client.get(endpoint, endpoint, params) class SyncClient: headers: dict = {} params: dict = {} def __init__(self, headers=None, params=None) -> None: if params is None: self.params = {} else: self.params = params if headers is None: self.headers = {} else: self.headers = headers def get(self, url: str): response = requests.get(url, params=self.params, headers=self.headers) try: data = response.json() except json.JSONDecodeError: data = {'error': response.text} if response.status_code == 200: return data["data"] elif response.status_code == 400: raise InvalidOrMissingParameter(data["error"]) elif response.status_code == 404: raise NotFound(data["error"]) else: raise Exception(f'{data.get("error", "An error unknown occurred")}, status code {response.status_code}') class AsyncClient: headers: dict = {} params: dict = {} def __init__(self, headers=None, params=None) -> None: if params is None: self.params = {} else: self.params = params if headers is None: self.headers = {} else: self.headers = headers async def get(self, url: str): async with aiohttp.ClientSession() as session: async with session.get(url, params=self.params, headers=self.headers) as response: try: data = await response.json() except aiohttp.ContentTypeError: data = {'error': response.text} if response.status == 200: return data["data"] elif response.status == 400: raise 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fire/trace.py	nvhoang55/python-fire	0	886	<reponame>nvhoang55/python-fire<gh_stars>0 # Copyright (C) 2018 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """This module has classes for tracing the execution of a Fire execution. A FireTrace consists of a sequence of FireTraceElement objects. Each element represents an action taken by Fire during a single Fire execution. An action may be instantiating a class, calling a routine, or accessing a property. Each action consumes args and results in a new component. The final component is serialized to stdout by Fire as well as returned by the Fire method. If a Fire usage error occurs, such as insufficient arguments being provided to call a function, then that error will be captured in the trace and the final component will be None. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import pipes from fire import inspectutils INITIAL_COMPONENT = 'Initial component' INSTANTIATED_CLASS = 'Instantiated class' CALLED_ROUTINE = 'Called routine' CALLED_CALLABLE = 'Called callable' ACCESSED_PROPERTY = 'Accessed property' COMPLETION_SCRIPT = 'Generated completion script' INTERACTIVE_MODE = 'Entered interactive mode' class FireTrace(object): """A FireTrace represents the steps taken during a single Fire execution. A FireTrace consists of a sequence of FireTraceElement objects. Each element represents an action taken by Fire during a single Fire execution. An action may be instantiating a class, calling a routine, or accessing a property. """ def __init__(self, initial_component, name=None, separator='-', verbose=False, show_help=False, show_trace=False): initial_trace_element = FireTraceElement( component=initial_component, action=INITIAL_COMPONENT, ) self.name = name self.separator = separator self.elements = [initial_trace_element] self.verbose = verbose self.show_help = show_help self.show_trace = show_trace def GetResult(self): """Returns the component from the last element of the trace.""" # pytype: disable=attribute-error return self.GetLastHealthyElement().component # pytype: enable=attribute-error def GetLastHealthyElement(self): """Returns the last element of the trace that is not an error. This element will contain the final component indicated by the trace. Returns: The last element of the trace that is not an error. """ for element in reversed(self.elements): if not element.HasError(): return element return None def HasError(self): """Returns whether the Fire execution encountered a Fire usage error.""" return self.elements[-1].HasError() def AddAccessedProperty(self, component, target, args, filename, lineno): element = FireTraceElement( component=component, action=ACCESSED_PROPERTY, target=target, args=args, filename=filename, lineno=lineno, ) self.elements.append(element) def AddCalledComponent(self, component, target, args, filename, lineno, capacity, action=CALLED_CALLABLE): """Adds an element to the trace indicating that a component was called. Also applies to instantiating a class. Args: component: The result of calling the callable. target: The name of the callable. args: The args consumed in order to call this callable. filename: The file in which the callable is defined, or None if N/A. lineno: The line number on which the callable is defined, or None if N/A. capacity: (bool) Whether the callable could have accepted additional args. action: The value to include as the action in the FireTraceElement. """ element = FireTraceElement( component=component, action=action, target=target, args=args, filename=filename, lineno=lineno, capacity=capacity, ) self.elements.append(element) def AddCompletionScript(self, script): element = FireTraceElement( component=script, action=COMPLETION_SCRIPT, ) self.elements.append(element) def AddInteractiveMode(self): element = FireTraceElement(action=INTERACTIVE_MODE) self.elements.append(element) def AddError(self, error, args): element = FireTraceElement(error=error, args=args) self.elements.append(element) def AddSeparator(self): """Marks that the most recent element of the trace used a separator. A separator is an argument you can pass to a Fire CLI to separate args left of the separator from args right of the separator. Here's an example to demonstrate the separator. Let's say you have a function that takes a variable number of args, and you want to call that function, and then upper case the result. Here's how to do it: # in Python def display(arg1, arg2='!'): return arg1 + arg2 # from Bash (the default separator is the hyphen -) display hello # hello! display hello upper # helloupper display hello - upper # HELLO! Note how the separator caused the display function to be called with the default value for arg2. """ self.elements[-1].AddSeparator() def _Quote(self, arg): if arg.startswith('--') and '=' in arg: prefix, value = arg.split('=', 1) return pipes.quote(prefix) + '=' + pipes.quote(value) return pipes.quote(arg) def GetCommand(self, include_separators=True): """Returns the command representing the trace up to this point. Args: include_separators: Whether or not to include separators in the command. Returns: A string representing a Fire CLI command that would produce this trace. """ args = [] if self.name: args.append(self.name) for element in self.elements: if element.HasError(): continue if element.args: args.extend(element.args) if element.HasSeparator() and include_separators: args.append(self.separator) if self.NeedsSeparator() and include_separators: args.append(self.separator) return ' '.join(self._Quote(arg) for arg in args) def NeedsSeparator(self): """Returns whether a separator should be added to the command. If the command is a function call, then adding an additional argument to the command sometimes would add an extra arg to the function call, and sometimes would add an arg acting on the result of the function call. This function tells us whether we should add a separator to the command before adding additional arguments in order to make sure the arg is applied to the result of the function call, and not the function call itself. Returns: Whether a separator should be added to the command if order to keep the component referred to by the command the same when adding additional args. """ element = self.GetLastHealthyElement() return element.HasCapacity() and not element.HasSeparator() def __str__(self): lines = [] for index, element in enumerate(self.elements): line = '{index}. {trace_string}'.format( index=index + 1, trace_string=element, ) lines.append(line) return '\n'.join(lines) def NeedsSeparatingHyphenHyphen(self, flag='help'): """Returns whether a the trace need '--' before '--help'. '--' is needed when the component takes keyword arguments, when the value of flag matches one of the argument of the component, or the component takes in keyword-only arguments(e.g. argument with default value). Args: flag: the flag available for the trace Returns: True for needed '--', False otherwise. """ element = self.GetLastHealthyElement() component = element.component spec = inspectutils.GetFullArgSpec(component) return (spec.varkw is not None or flag in spec.args or flag in spec.kwonlyargs) class FireTraceElement(object): """A FireTraceElement represents a single step taken by a Fire execution. Examples of a FireTraceElement are the instantiation of a class or the accessing of an object member. """ def __init__(self, component=None, action=None, target=None, args=None, filename=None, lineno=None, error=None, capacity=None): """Instantiates a FireTraceElement. Args: component: The result of this element of the trace. action: The type of action (eg instantiating a class) taking place. target: (string) The name of the component being acted upon. args: The args consumed by the represented action. filename: The file in which the action is defined, or None if N/A. lineno: The line number on which the action is defined, or None if N/A. error: The error represented by the action, or None if N/A. capacity: (bool) Whether the action could have accepted additional args. """ self.component = component self._action = action self._target = target self.args = args self._filename = filename self._lineno = lineno self._error = error self._separator = False self._capacity = capacity def HasError(self): return self._error is not None def HasCapacity(self): return self._capacity def HasSeparator(self): return self._separator def AddSeparator(self): self._separator = True def ErrorAsStr(self): return ' '.join(str(arg) for arg in self._error.args) def __str__(self): if self.HasError(): return self.ErrorAsStr() else: # Format is: {action} "{target}" ({filename}:{lineno}) string = self._action if self._target is not None: string += ' "{target}"'.format(target=self._target) if self._filename is not None: path = self._filename if self._lineno is not None: path += ':{lineno}'.format(lineno=self._lineno) string += ' ({path})'.format(path=path) return string	[ 1, 529, 276, 1112, 420, 29958, 29876, 29894, 1251, 574, 29945, 29945, 29914, 4691, 29899, 8696, 29966, 12443, 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quest/quest_gui.py	Fluorescence-Tools/quest	0	161360	<gh_stars>0 import tempfile import sip sip.setapi('QDate', 2) sip.setapi('QDateTime', 2) sip.setapi('QString', 2) sip.setapi('QTextStream', 2) sip.setapi('QTime', 2) sip.setapi('QUrl', 2) sip.setapi('QVariant', 2) from PyQt5 import QtGui, QtWidgets import lib import lib.ui.rescource_rc import sys sys.tracebacklimit = 500 # After updating of icon run: # pyrcc4 -o rescource_rc.py rescource.qrc # encoding=utf8 def start_gui(): class Main(QtWidgets.QMainWindow): """ Main window The program is structured in a tree self.rootNode -> n * Experiment -> setup -> datasets -> Fit -> Model """ def __init__(self): QtWidgets.QMainWindow.__init__(self) dg = lib.tools.TransientDecayGenerator(tempfile.gettempdir()) self.setCentralWidget(dg) app = QtWidgets.QApplication(sys.argv) win = Main() win.show() sys.exit(app.exec_()) if __name__ == "__main__": start_gui()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 5694, 1445, 13, 5215, 269, 666, 13, 29879, 666, 29889, 842, 2754, 877, 29984, 2539, 742, 29871, 29906, 29897, 13, 29879, 666, 29889, 842, 2754, 877, 29984, 11384, 742, 29871, 29906, 29897, 13, 29879, 666, 29889, 842, 2754, 877, 29984, 1231, 742, 29871, 29906, 29897, 13, 29879, 666, 29889, 842, 2754, 877, 29984, 1626, 3835, 742, 29871, 29906, 29897, 13, 29879, 666, 29889, 842, 2754, 877, 29984, 2481, 742, 29871, 29906, 29897, 13, 29879, 666, 29889, 842, 2754, 877, 29984, 5983, 742, 29871, 29906, 29897, 13, 29879, 666, 29889, 842, 2754, 877, 29984, 10444, 424, 742, 29871, 29906, 29897, 13, 13, 3166, 10772, 17303, 29945, 1053, 14705, 28707, 29892, 14705, 8801, 29879, 13, 5215, 4303, 13, 5215, 4303, 29889, 1481, 29889, 690, 29883, 1167, 29918, 2214, 13, 5215, 10876, 13, 9675, 29889, 15003, 1627, 13400, 353, 29871, 29945, 29900, 29900, 13, 13, 29937, 2860, 13271, 310, 9849, 1065, 29901, 13, 29937, 282, 4316, 617, 29946, 448, 29877, 620, 29883, 1167, 29918, 2214, 29889, 2272, 620, 29883, 1167, 29889, 29939, 2214, 13, 29937, 8025, 29922, 9420, 29947, 13, 13, 1753, 1369, 29918, 23569, 7295, 13, 13, 1678, 770, 4241, 29898, 17303, 8801, 29879, 29889, 29984, 6330, 5907, 1125, 13, 4706, 9995, 4241, 3474, 13, 4706, 450, 1824, 338, 2281, 2955, 297, 263, 5447, 13, 4706, 1583, 29889, 4632, 4247, 1599, 302, 334, 1222, 15362, 1599, 29871, 6230, 1599, 20035, 1599, 383, 277, 1599, 8125, 13, 4706, 9995, 13, 13, 4706, 822, 4770, 2344, 12035, 1311, 1125, 13, 9651, 14705, 8801, 29879, 29889, 29984, 6330, 5907, 17255, 2344, 12035, 1311, 29897, 13, 9651, 270, 29887, 353, 4303, 29889, 8504, 29889, 4300, 993, 6185, 388, 21575, 29898, 7382, 1445, 29889, 657, 7382, 3972, 3101, 13, 9651, 1583, 29889, 842, 23369, 1705, 8801, 29898, 20726, 29897, 13, 13, 13, 1678, 623, 353, 14705, 8801, 29879, 29889, 29984, 4873, 29898, 9675, 29889, 19218, 29897, 13, 1678, 5401, 353, 4241, 580, 13, 1678, 5401, 29889, 4294, 580, 13, 1678, 10876, 29889, 13322, 29898, 932, 29889, 4258, 29918, 3101, 13, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 1369, 29918, 23569, 580, 13, 2 ]
src/main/python/grammer/Function.py	photowey/python-study	0	27317	# -- coding:utf-8 -- # --------------------------------------------- # @file Function.py # @description Function # @author WcJun # @date 2020/06/20 # --------------------------------------------- # 求两个数 n 加到 m 的和 def add(n, m): s = 0 while n <= m: s += n n += 1 return s # 求和 add = add(1, 100) print(add)	[ 1, 396, 448, 29930, 29899, 14137, 29901, 9420, 29899, 29947, 448, 29930, 29899, 13, 13, 29937, 448, 2683, 2683, 9072, 13, 29937, 732, 1445, 6680, 29889, 2272, 13, 29937, 732, 8216, 6680, 13, 29937, 732, 8921, 399, 29883, 29967, 348, 13, 29937, 732, 1256, 29871, 29906, 29900, 29906, 29900, 29914, 29900, 29953, 29914, 29906, 29900, 13, 29937, 448, 2683, 2683, 9072, 13, 13, 13, 29937, 29871, 31376, 31977, 30502, 30354, 302, 29871, 30666, 30780, 286, 29871, 30210, 30503, 13, 1753, 788, 29898, 29876, 29892, 286, 1125, 13, 1678, 269, 353, 29871, 29900, 13, 1678, 1550, 302, 5277, 286, 29901, 13, 4706, 269, 4619, 302, 13, 4706, 302, 4619, 29871, 29896, 13, 1678, 736, 269, 13, 13, 13, 29937, 29871, 31376, 30503, 13, 1202, 353, 788, 29898, 29896, 29892, 29871, 29896, 29900, 29900, 29897, 13, 2158, 29898, 1202, 29897, 13, 2 ]
_weeks/week11/preclass_wednesday.py	nahumj/CSE-431	0	89061	<reponame>nahumj/CSE-431<gh_stars>0 import collections import pprint import copy class Node: def __init__(self, id_, data=None): self.id_ = id_ self.data = data def __eq__(self, other): if isinstance(other, Node): return self.id_ == other.id_ return False def __hash__(self): return hash(self.id_) def __repr__(self): return f"Node(id_ = {self.id_}, data = {self.data})" class Graph: def __init__(self): self.nodes = [] self.edges = collections.defaultdict(list) def add_node(self, node): assert node not in self.nodes assert isinstance(node, Node) self.nodes.append(node) def add_edge(self, start_node_id, end_node_id, data=None): assert end_node_id not in self.edges[start_node_id] self.edges[start_node_id].append((end_node_id, data)) def __repr__(self): return f"Graph(nodes={pprint.pformat(self.nodes)}, edges={pprint.pformat(self.edges)})" def breadth_first_traversal(self, start_node_id): discovered = collections.deque() fully_explored = [] done_with = set() discovered.append(start_node_id) done_with.add(start_node_id) while discovered: node_id = discovered.popleft() for child_node_id, _ in self.edges[node_id]: if child_node_id not in done_with: discovered.append(child_node_id) done_with.add(child_node_id) fully_explored.append(node_id) return fully_explored def depth_first_traversal(self, start_node_id): discovered = [] fully_explored = [] done_with = set() discovered.append(start_node_id) done_with.add(start_node_id) while discovered: node_id = discovered[-1] for child_node_id, _ in self.edges[node_id]: if child_node_id not in done_with: discovered.append(child_node_id) done_with.add(child_node_id) break else: pop_id = discovered.pop() assert pop_id == node_id fully_explored.append(node_id) return fully_explored def has_edge(self, start_id, end_id): for existing_end_id, _ in self.edges[start_id]: if end_id == existing_end_id: return True return False def depth_first_search_tree(self, start_node_id): def decorate_dfs_tree(dfs_tree, node_id, depth=0): children = [child_ids for child_ids, data in dfs_tree.edges[node_id] if data is None or "back-edge" not in data] back_edges = [child_ids for child_ids, data in dfs_tree.edges[node_id] if data is not None and data["back-edge"]] is_leaf = not children # save to data nodes_index = dfs_tree.nodes.index(Node(node_id)) assert dfs_tree.nodes[nodes_index].id_ == node_id dfs_tree.nodes[nodes_index].data = {"depth": depth, "is_leaf": is_leaf, "children": children, "back-edges": back_edges} for child_id in children: decorate_dfs_tree(dfs_tree, child_id, depth + 1) dfs_tree = Graph() dfs_tree.add_node(Node(start_node_id)) discovered = [] fully_explored = [] done_with = set() discovered.append(start_node_id) done_with.add(start_node_id) while discovered: node_id = discovered[-1] for child_node_id, _ in self.edges[node_id]: if child_node_id not in done_with: discovered.append(child_node_id) done_with.add(child_node_id) dfs_tree.add_node(Node(child_node_id)) dfs_tree.add_edge(node_id, child_node_id) break else: if child_node_id in discovered and not dfs_tree.has_edge(node_id, child_node_id) and not dfs_tree.has_edge(child_node_id, node_id): dfs_tree.add_edge(node_id, child_node_id, data={"back-edge": True}) else: pop_id = discovered.pop() assert pop_id == node_id fully_explored.append(node_id) decorate_dfs_tree(dfs_tree, start_node_id) return dfs_tree def is_connected(self): if not self.nodes: return True traversal_order = self.breadth_first_traversal(start_node_id=self.nodes[0].id_) return len(traversal_order) == len(self.nodes) def remove_node(self, node): # remove edges with node as start del self.edges[node.id_] # remove edges with node as end for start_id, end_list in self.edges.items(): end_list = [(end_id, edge_data) for end_id, edge_data in end_list if end_id != node.id_] self.edges[start_id] = end_list self.nodes.remove(node) def articulation_nodes_slow(self): """ For each vertex Remove vertex from graph If still connected (do BFS or DFS to see if connected) vertex is an articulation """ articulation_nodes = [] for node in self.nodes: graph_without_node = copy.deepcopy(self) graph_without_node.remove_node(node) if not graph_without_node.is_connected(): articulation_nodes.append(node) return articulation_nodes def articulation_nodes_fast(self): dfs_tree = self.depth_first_search_tree(self.nodes[0].id_) print(dfs_tree) articulation_nodes = [] for node in dfs_tree.nodes: if node.data["depth"] == 0: # root if len(node.data["children"]) > 1: articulation_nodes.append(node) continue if node.data["is_leaf"]: continue # hard case for child_id in node.data["children"]: child_node_index = dfs_tree.nodes.index(Node(child_id)) child_node = dfs_tree.nodes[child_node_index] is_safe_child = False # TODO: Need to check all children in subtree, not just direct children for back_edge in child_node.data["back-edges"]: back_edge_index = dfs_tree.nodes.index(Node(back_edge)) back_edge_node = dfs_tree.nodes[back_edge_index] if back_edge_node.data["depth"] < node.data["depth"]: is_safe_child = True if not is_safe_child: articulation_nodes.append(node) break return articulation_nodes def main(): letter_nodes = "ABCDEFGHI" list_of_tuple_edges = [ ("A", "B"), ("A", "C"), ("A", "F"), ("B", "D"), ("B", "E"), ("B", "I"), ("B", "G"), ("D", "F"), ("D", "G"), ("E", "H"), ("E", "I"), ] graph = Graph() for letter_id in letter_nodes: node = Node(letter_id) graph.add_node(node) for start_node, end_node in list_of_tuple_edges: graph.add_edge(start_node, end_node) graph.add_edge(end_node, start_node) pprint.pprint(graph.articulation_nodes_fast()) if __name__ == "__main__": main()	[ 1, 529, 276, 1112, 420, 29958, 8723, 398, 29926, 29914, 29907, 1660, 29899, 29946, 29941, 29896, 29966, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 16250, 13, 5215, 282, 2158, 13, 5215, 3509, 13, 13, 1990, 9071, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1178, 3383, 848, 29922, 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vhdl_navigation.py	jalucas42/SmartVHDL	0	128761	from __future__ import absolute_import import sublime, sublime_plugin import re, string, os, sys, functools, mmap, pprint, imp, threading from collections import Counter from plistlib import readPlistFromBytes try: from . import vhdl_module from .util import vhdl_util from .util import sublime_util from .color_scheme_util import st_color_scheme_matcher from .color_scheme_util import rgba except ImportError: sys.path.append(os.path.join(os.path.dirname(__file__), "util")) import vhdl_util import sublime_util sys.path.append(os.path.join(os.path.dirname(__file__), "color_scheme_util")) import st_color_scheme_matcher import rgba ############################################################################ # Init tooltip_css = '' tooltip_flag = 0 show_ref = True def plugin_loaded(): imp.reload(vhdl_util) imp.reload(sublime_util) imp.reload(st_color_scheme_matcher) # Ensure the preference settings are properly reloaded when changed global pref_settings pref_settings = sublime.load_settings('Preferences.sublime-settings') pref_settings.clear_on_change('reload') pref_settings.add_on_change('reload',plugin_loaded) # Ensure the VHDL settings are properly reloaded when changed global vhdl_settings vhdl_settings = sublime.load_settings('VHDL.sublime-settings') vhdl_settings.clear_on_change('reload') vhdl_settings.add_on_change('reload',plugin_loaded) global tooltip_flag if vhdl_settings.get('vhdl.tooltip_hide_on_move',True): tooltip_flag = sublime.HIDE_ON_MOUSE_MOVE_AWAY else: tooltip_flag = 0 global show_ref show_ref = int(sublime.version()) >= 3145 and vhdl_settings.get('vhdl.tooltip_show_refs',True) init_css() def init_css(): global tooltip_css scheme = st_color_scheme_matcher.ColorSchemeMatcher(pref_settings.get('color_scheme')) bg = scheme.get_special_color('background') fg = scheme.get_special_color('foreground') # Create background and border color based on the background color bg_rgb = rgba.RGBA(bg) if bg_rgb.b > 128: bgHtml = bg_rgb.b - 0x33 bgBody = bg_rgb.b - 0x20 else: bgHtml = bg_rgb.b + 0x33 bgBody = bg_rgb.b + 0x20 if bg_rgb.g > 128: bgHtml += (bg_rgb.g - 0x33)<<8 bgBody += (bg_rgb.g - 0x20)<<8 else: bgHtml += (bg_rgb.g + 0x33)<<8 bgBody += (bg_rgb.g + 0x20)<<8 if bg_rgb.r > 128: bgHtml += (bg_rgb.r - 0x33)<<16 bgBody += (bg_rgb.r - 0x20)<<16 else: bgHtml += (bg_rgb.r + 0x33)<<16 bgBody += (bg_rgb.r + 0x20)<<16 tooltip_css = 'html {{ background-color: #{bg:06x}; color: {fg}; }}\n'.format(bg=bgHtml, fg=fg) tooltip_css+= 'body {{ background-color: #{bg:06x}; margin: 1px; font-size: 1em; }}\n'.format(bg=bgBody) tooltip_css+= 'p {padding-left: 0.6em;}\n' tooltip_css+= '.content {margin: 0.8em;}\n' tooltip_css+= 'h1 {font-size: 1.0rem;font-weight: bold; margin: 0 0 0.25em 0;}\n' tooltip_css+= 'a {{color: {c};}}\n'.format(c=fg) tooltip_css+= '.keyword {{color: {c};}}\n'.format(c=scheme.get_color('keyword')) tooltip_css+= '.support {{color: {c};}}\n'.format(c=scheme.get_color('support')) tooltip_css+= '.storage {{color: {c};}}\n'.format(c=scheme.get_color('storage')) tooltip_css+= '.function {{color: {c};}}\n'.format(c=scheme.get_color('support.function')) tooltip_css+= '.entity {{color: {c};}}\n'.format(c=scheme.get_color('entity')) tooltip_css+= '.operator {{color: {c};}}\n'.format(c=scheme.get_color('keyword.operator')) tooltip_css+= '.numeric {{color: {c};}}\n'.format(c=scheme.get_color('constant.numeric')) tooltip_css+= '.string {{color: {c};}}\n'.format(c=scheme.get_color('string')) tooltip_css+= '.extra-info {font-size: 0.9em; }\n' tooltip_css+= '.ref_links {font-size: 0.9em; color: #0080D0; padding-left: 0.6em}\n' ############################################################################ callbacks_on_load = {} class VerilogOnLoadEventListener(sublime_plugin.EventListener): # Called when a file is finished loading. def on_load_async(self, view): global callbacks_on_load if view.file_name() in callbacks_on_load: callbacks_on_load[view.file_name()]() del callbacks_on_load[view.file_name()] ############################################################################ # Display type of the signal/variable under the cursor into the status bar # # Event onHover to display the popup class VhdlShowTypeHover(sublime_plugin.EventListener): def on_hover(self, view, point, hover_zone): # Popup only on text if hover_zone != sublime.HOVER_TEXT: return # Check file size to optionnaly disable the feature (finding the information can be quite long) threshold = view.settings().get('vhdl.hover_max_size',-1) if view.size() > threshold and threshold!=-1 : return # Only show a popup for vhdl, when not in a string of a comment scope = view.scope_name(point) if 'source.vhdl' not in scope: return if any(w in scope for w in ['comment', 'string', 'keyword']): return popup = VhdlTypePopup(view) sublime.set_timeout_async(lambda r=view.word(point), p=point: popup.show(r,p)) class VhdlTypePopup : def __init__(self,view): self.view = view def show(self,region,location): # If nothing is selected expand selection to word if region.empty() : region = self.view.word(region) # Make sure a whole word is selected elif (self.view.classify(region.a) & sublime.CLASS_WORD_START)==0 or (self.view.classify(region.b) & sublime.CLASS_WORD_END)==0: if (self.view.classify(region.a) & sublime.CLASS_WORD_START)==0: region.a = self.view.find_by_class(region.a,False,sublime.CLASS_WORD_START) if (self.view.classify(region.b) & sublime.CLASS_WORD_END)==0: region.b = self.view.find_by_class(region.b,True,sublime.CLASS_WORD_END) v = self.view.substr(region) # trigger on valid word only if not re.match(r'^[A-Za-z_]\w$',v): return # s,ti = self.get_type(v,region) if not s: sublime.status_message('No definition found for ' + v) else : s = self.color_str(s,True,ti) s = '<style>{css}</style><div class="content">{txt}</div>'.format(css=tooltip_css, txt=s) self.view.show_popup(s,location=location, flags=tooltip_flag, max_width=500, on_navigate=self.on_navigate) def get_type(self,var_name,region): scope = self.view.scope_name(region.a) ti = None txt = '' if 'variable.parameter.port' in scope: if 'meta.block.entity_instantiation' in scope: r_inst = sublime_util.expand_to_scope(self.view,'meta.block.entity_instantiation',region) elif 'meta.block.component_instantiation' in scope: r_inst = sublime_util.expand_to_scope(self.view,'meta.block.component_instantiation',region) inst_txt = self.view.substr(r_inst) m = re.search(r'(?si)(?:(?P<scope>\w+)\.)?(?P<mname>\w+)\s+(?:port\|generic)',inst_txt) if m: re_str = r'(?si)(?P<type>component\|entity)\s+(?P<name>'+m.group('mname')+r')\s+is\s+(?P<content>.?)\bend\s+((?P=type)\|(?P=name))' info = sublime_util.lookup_symbol(self.view,m.group('mname'),re_str) # print('Port {} in module {} defined in {}'.format(var_name,m.group('mname'),info)) # TODO: handle component if info['match']: ti = vhdl_util.get_type_info(info['match'].group('content'),var_name) if ti: txt = ti['decl'] else : # lookup for a signal/variable declaration in current file lines = self.view.substr(sublime.Region(0, self.view.line(region).b)) ti = vhdl_util.get_type_info(lines,var_name) if ti: txt = ti['decl'] return txt,ti def color_str(self,s, addLink=False, ti_var=None): # Split all text in word, special character, space and line return words = re.findall(r"\w+\|[^\w\s]\|\s+", s) # print('String = "{}" \n Split => {}'.format(s,words)) # print(ti_var) sh = '' idx_type = -1 link = '' if words[0].lower() in ['signal','variable','constant']: idx_type = 6 link = 'LOCAL@{}:{}'.format(words[0],words[2]) elif words[0] in ['port']: idx_type = 8 link = 'LOCAL@{}:{}'.format(words[0],words[2]) elif ti_var and ti_var['tag']=='generic': idx_type = 4 sh+='<span class="keyword">generic</span> ' link = 'LOCAL@{}:{}'.format(words[0],words[2]) for i,w in enumerate(words): # Check for keyword if w.lower() in ['signal','variable','constant','port','array','downto','upto','of','in','out','inout']: sh+='<span class="keyword">{0}</span>'.format(w) elif w in [':','-','+','=']: sh+='<span class="operator">{0}</span>'.format(w) elif re.match(r'\d+',w): sh+='<span class="numeric">{0}</span>'.format(w) # Type elif i==idx_type: sh+='<span class="storage">{0}</span>'.format(w) # Variable name elif addLink and ti_var and link and w==ti_var['name']: sh+='<a href="{}">{}</a>'.format(link,w) # Unknown words/characters => copy as-is elif not w.strip() : sh += ' ' # Reduce multiple spaces to just one else : sh += w return sh def on_navigate(self, href): href_s = href.split('@') if href_s[0] == 'LOCAL': ws = href_s[1].split(':') if ws[0] == 'port' : s = r'(?si)\b{}\b(,[\w\s,]+)?\s:\s(in\|out)'.format(ws[1]) else : s = r'(?si)^[ \t]{}\s+[\w\s,]\b{}\b'.format(ws[0],ws[1]) r = self.view.find(s,0, sublime.IGNORECASE) if r: sublime_util.move_cursor(self.view,r.a) else : v = self.view.window().open_file(href_s[1], sublime.ENCODED_POSITION) ############################################################################ # Helper function to retrieve current module name based on cursor position # def getModuleName(view): r = view.sel()[0] # Empty selection ? get current module name if r.empty(): re_str = r'(?is)^[ \t](?:entity\|architecture\s+\w+\s+of)\s+(\w+\b)' mname = sublime_util.find_closest(view,r,re_str) else: mname = view.substr(r) return mname ############################################################### # Create a new buffer showing the hierarchy of current module # hierarchyInfo = {'dict':{}, 'view':None,'fname':'', 'name':''} hierarchyView = None class VhdlShowHierarchyCommand(sublime_plugin.TextCommand): def run(self,edit): mname = getModuleName(self.view) if not mname: print('[VHDL.navigation] No entity/architecture found !') return txt = self.view.substr(sublime.Region(0, self.view.size())) inst_l = vhdl_util.get_inst_list(txt,mname) if not inst_l: print('[VHDL.navigation] No hierarchy found !') return sublime.status_message("Show Hierarchy can take some time, please wait ...") sublime.set_timeout_async(lambda inst_l=inst_l, w=self.view.window(), mname=mname : self.showHierarchy(w,inst_l,mname)) def showHierarchy(self,w,inst_l,mname): # Save info in global for later access global hierarchyInfo hierarchyInfo['dict'] = {} hierarchyInfo['view'] = self.view hierarchyInfo['fname'] = self.view.file_name() hierarchyInfo['name'] = mname # Create Dictionnary where each type is associated with a list of tuple (instance type, instance name) self.d = {} self.d[mname] = inst_l self.unresolved = [] self.component = [] li = list(set(inst_l)) while li: li_next = [] for i in li: inst_type = i[1] if inst_type not in hierarchyInfo['dict'].keys() and inst_type not in self.component: filelist = w.lookup_symbol_in_index(inst_type) filelist = list(set([f[0] for f in filelist])) # print('Symbol {} defined in {}'.format(inst_type,[x[0] for x in filelist])) i_il = [] if filelist: for f in filelist: fname = sublime_util.normalize_fname(f) i_il = vhdl_util.get_inst_list_from_file(fname,inst_type) if i_il is not None: hierarchyInfo['dict'][inst_type] = fname break else : self.unresolved.append(inst_type) if i_il: li_next += i_il self.d[inst_type] = i_il elif i_il is None : self.component.append(inst_type) li = list(set(li_next)) txt = mname + '\n' txt += self.printSubmodule(mname,1) # Check if we open the result in a new window if self.view.settings().get('vhdl.hierarchy_new_window',False): sublime.run_command('new_window') w = sublime.active_window() v = w.new_file() v.settings().set("tab_size", 2) v.set_name(mname + ' Hierarchy') v.set_syntax_file('Packages/Smart VHDL/Find Results VHDL.hidden-tmLanguage') v.set_scratch(True) v.run_command('insert_snippet',{'contents':str(txt)}) def printSubmodule(self,name,lvl): txt = '' if name in self.d: # print('printSubmodule ' + str(self.d[name])) for x in self.d[name]: txt += ' 'lvl if x[1] in self.d : txt += '+ {name} ({type})\n'.format(name=x[0],type=x[1]) if lvl<32 : txt += self.printSubmodule(x[1],lvl+1) else : print('[VHDL.navigation] Hierarchy with more than 20 level not supported !') return else: if x[1] in self.unresolved: comment = ' [U]' elif x[1] in self.component: comment = ' [C]' else: comment = '' txt += '- {name} ({type}){comment}\n'.format(name=x[0],type=x[1],comment=comment) return txt # Navigate within the hierarchy class VhdlHierarchyGotoDefinitionCommand(sublime_plugin.TextCommand): def run(self,edit): global hierarchyInfo r = self.view.sel()[0] if r.empty() : r = self.view.word(r) scope = self.view.scope_name(r.a) fname = '' module_name = self.view.substr(r) inst_name = '' # Not in the proper file ? use standard goto_definition to if 'text.result-vhdl' not in scope: self.view.window().run_command('goto_definition') return if 'entity.name' in scope: l = self.view.substr(self.view.line(r)) indent = (len(l) - len(l.lstrip()))-2 if indent<0: print('[VHDL.navigation] Hierarchy buffer corrupted : Invalid position for an instance !') return elif indent == 0: inst_name = module_name module_name = hierarchyInfo['name'] fname = hierarchyInfo['fname'] else: w = '' # find module parent name txt = self.view.substr(sublime.Region(0,r.a)) m = re.findall(r'^{}\+ \w+\s+\((\w+)\)'.format(' 'indent),txt,re.MULTILINE) if m: inst_name = module_name module_name = m[-1] if module_name in hierarchyInfo['dict']: fname = hierarchyInfo['dict'][module_name] elif 'storage.name' in scope: if module_name in hierarchyInfo['dict']: fname = hierarchyInfo['dict'][module_name] elif 'keyword.module' in scope: module_name = hierarchyInfo['name'] fname = hierarchyInfo['fname'] # print('Module={} instance={} (scope={}) => filename = {}'.format(module_name,inst_name,scope,fname)) if fname: v = hierarchyInfo['view'].window().find_open_file(fname) if v : hierarchyInfo['view'].window().focus_view(v) self.goto_symb(v,module_name,inst_name) else : v = hierarchyInfo['view'].window().open_file(fname) global callbacks_on_load callbacks_on_load[fname] = lambda v=v, module_name=module_name, inst_name=inst_name: self.goto_symb(v,module_name,inst_name) else : self.view.window().run_command('goto_definition') def goto_symb(self,v,module_name,inst_name): global hierarchyInfo row=-1 if inst_name : # Find instance symbol position #print('[VHDL.navigation] Looking for instance {} in {}'.format(inst_name,v.symbols())) for x in v.symbols() : if x[1] == inst_name: row,col = v.rowcol(x[0].a) #print('[VHDL.navigation] Found at {}:{}'.format(row,col)) break else : # Find architecture symbol position #print('L[VHDL.navigation] ooking for architecture of {} in {}'.format(module_name,v.symbols())) for x in v.symbols() : if x[1].startswith(module_name+' :'): row,col = v.rowcol(x[0].a) # print('Found at {}:{}'.format(row,col)) break if row>=0: sublime_util.move_cursor(v,v.text_point(row,col)) ########################################################### # Find all instances of current module or selected module # class VhdlFindInstanceCommand(sublime_plugin.TextCommand): def run(self,edit): mname = getModuleName(self.view) sublime.status_message("Find Instance can take some time, please wait ...") sublime.set_timeout_async(lambda x=mname: self.findInstance(x)) def findInstance(self, mname): projname = sublime.active_window().project_file_name() if projname not in vhdl_module.list_module_files: vhdl_module.VhdlModuleInstCommand.get_list_file(None,projname,None) inst_dict = {} cnt = 0 re_str = r'(?si)^\s(\w+)\s:\s(?:use\s+)?(?:entity\s+)?(\w+\.)?{}(\s\(\s\w+\s*\))?\s+(port\|generic)'.format(mname) p = re.compile(re_str,re.MULTILINE) for fn in vhdl_module.list_module_files[projname]: with open(fn) as f: txt = f.read() if mname in txt: for m in re.finditer(p,txt): cnt+=1 lineno = txt.count("\n",0,m.start()+1)+1 res = (m.groups()[0].strip(),lineno) if fn not in inst_dict: inst_dict[fn] = [res] else: inst_dict[fn].append(res) if inst_dict: v = sublime.active_window().new_file() v.set_name(mname + ' Instances') v.set_syntax_file('Packages/Smart VHDL/Find Results VHDL.hidden-tmLanguage') v.settings().set("result_file_regex", r"^(.+):$") v.settings().set("result_line_regex", r"\(line: (\d+)\)$") v.set_scratch(True) txt = mname + ': %0d instances.\n\n' %(cnt) for (name,il) in inst_dict.items(): txt += name + ':\n' for i in il: txt += ' - {0} (line: {1})\n'.format(i[0].strip(),i[1]) txt += '\n' v.run_command('insert_snippet',{'contents':str(txt)}) else : sublime.status_message("[VHDL] No instance found !")	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consent.py	yawgmoth/NVHanabi	0	75363	consent = """<center><table width="800px"><tr><td> <font size="16"><b>University of Costa Rica<br/> </font> INFORMED CONSENT FORM for RESEARCH<br/></b> <b>Title of Study:</b> Hanabi AI Agents<br/> <b>Principal Investigator:</b> Dr. <NAME> <br/> <h2>What are some general things you should know about research studies?</h2> <p>You are being asked to take part in a research study. Your participation in this study is voluntary. You have the right to be a part of this study, to choose not to participate or to stop participating at any time without penalty. The purpose of research studies is to gain a better understanding of a certain topic or issue. </p> <p>You are not guaranteed any personal benefits from being in a study. Research studies also may pose risks to those that participate. In this consent form you will find specific details about the research in which you are being asked to participate. If you do not understand something in this form it is your right to ask the researcher for clarification or more information. A copy of this consent form will be provided to you. If at any time you have questions about your participation, do not hesitate to contact the researcher(s) named above. </p> <h2>What is the purpose of this study?</h2> <p>The purpose of the study is to determine which type of AI plays well with humans in the cooperative card game Hanabi. <b>You must be between 18 and 64 years to participate.</b></p> <h2>What will happen if you take part in the study?</h2> <p>If you agree to participate in this study, you will play two games of a browser-based implementation of Hanabi with an AI controlled player, and then answer some questions about your experience with the AI and board games in general. If you enjoy your experience (and we hope you do), you can also play more often. </p> <h2>Risks</h2> <p>The risks of this study do not exceed normal computer use. </p> <h2>Benefits</h2> <p>There are no direct benefits to your participation in the research. The indirect benefits are that you may actually enjoy playing the game with the AI. For participating in this study you will receive <b>no compensation.</b></p> <h2>Confidentiality</h2> <p>The information in the study records will be kept confidential to the full extent allowed by law. Data will be stored securely on a secure computer that only the researchers can access. No reference will be made in oral or written reports which could link you to the study. After the conclusion of the study, the information we gathered will be released to the public to foster further research. Note that none of this information can be linked back to you personally, and that you can choose if you want to be included in the published data at the end of the experiment. </p> <h2>What if you are a UCR student?</h2> <p>Participation in this study is not a course requirement and your participation or lack thereof, will not affect your class standing or grades at UCR.</p> <h2>What if you are a UCR employee?</h2> <p>Participation in this study is not a requirement of your employment at UCR, and your participation or lack thereof, will not affect your job.</p> <h2>What if you have questions about this study?</h2> <p>If you have questions at any time about the study itself or the procedures implemented in this study, you may contact the researcher, <NAME> by email: <EMAIL> <h2>Consent To Participate</h2> I have read and understand the above information. I have received a copy of this form. 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CodeWars/6 Kyu/Shoot But As I've Seen It In My Imagination.py	anubhab-code/Competitive-Programming	0	99877	import math def find_prob(balls_set, event): possible = True num = 1 den = 1 balls = dict() available_ball = len(balls_set) for b in balls_set: if b in balls: balls[b] += 1 else: balls[b] = 1 for e in event: lc = ABBREVIATIONS[e] if lc not in balls or balls[lc] == 0: possible = False break num = balls[lc] den = available_ball balls[lc] -= 1 available_ball -= 1 g = math.gcd(num, den) den //= g num //= g if possible: return [num, den] else: return ["Impossible"]	[ 1, 1053, 5844, 13, 13, 1753, 1284, 29918, 22795, 29898, 2135, 29879, 29918, 842, 29892, 1741, 1125, 13, 1678, 1950, 353, 5852, 13, 1678, 954, 353, 29871, 29896, 13, 1678, 972, 353, 29871, 29896, 13, 1678, 26563, 353, 9657, 580, 13, 1678, 3625, 29918, 2135, 353, 7431, 29898, 2135, 29879, 29918, 842, 29897, 13, 1678, 363, 289, 297, 26563, 29918, 842, 29901, 13, 4706, 565, 289, 297, 26563, 29901, 13, 9651, 26563, 29961, 29890, 29962, 4619, 29871, 29896, 13, 4706, 1683, 29901, 13, 9651, 26563, 29961, 29890, 29962, 353, 29871, 29896, 13, 1678, 363, 321, 297, 1741, 29901, 13, 4706, 301, 29883, 353, 319, 14388, 1525, 18118, 8098, 29903, 29961, 29872, 29962, 13, 4706, 565, 301, 29883, 451, 297, 26563, 470, 26563, 29961, 29880, 29883, 29962, 1275, 29871, 29900, 29901, 13, 9651, 1950, 353, 7700, 13, 9651, 2867, 13, 4706, 954, 334, 29922, 26563, 29961, 29880, 29883, 29962, 13, 4706, 972, 334, 29922, 3625, 29918, 2135, 13, 4706, 26563, 29961, 29880, 29883, 29962, 22361, 29871, 29896, 13, 4706, 3625, 29918, 2135, 22361, 29871, 29896, 13, 4706, 330, 353, 5844, 29889, 29887, 2252, 29898, 1949, 29892, 972, 29897, 13, 4706, 972, 849, 29922, 330, 13, 4706, 954, 849, 29922, 330, 13, 268, 13, 1678, 565, 1950, 29901, 13, 4706, 736, 518, 1949, 29892, 972, 29962, 13, 1678, 1683, 29901, 13, 4706, 736, 6796, 1888, 27338, 3108, 2 ]
coursedashboards/models/term.py	uw-it-aca/course-dashboards	1	152430	<reponame>uw-it-aca/course-dashboards from django.utils import timezone from django.db import models class Term(models.Model): SPRING = 'spring' SUMMER = 'summer' AUTUMN = 'autumn' WINTER = 'winter' QUARTERNAME_CHOICES = ( (WINTER, 'Winter'), (SPRING, 'Spring'), (SUMMER, 'Summer'), (AUTUMN, 'Autumn'), ) quarter = models.CharField(max_length=6, choices=QUARTERNAME_CHOICES) year = models.PositiveSmallIntegerField() last_queried = models.DateTimeField(null=True, blank=True) term_key = models.PositiveSmallIntegerField(db_index=True, default=0) def __str__(self): return "{}-{}".format(self.year, self.quarter) def get_term_key(self): return self.year * 10 + self._quarter_to_int(self.quarter) def save(self, args, kwargs): if self.term_key is 0: self.term_key = self.get_term_key() super(Term, self).save(args, *kwargs) def __hash__(self): return super().__hash__() def __eq__(self, other): return (other is not None and type(self) == type(other) and self.int_key() == other.int_key()) def __ne__(self, other): return not self.__eq__(other) def __lt__(self, other): return (type(self) == type(other) and self.int_key() < other.int_key()) def __le__(self, other): return self.__lt__(other) or self.__eq__(other) def __gt__(self, other): return (type(self) == type(other) and self.int_key() > other.int_key()) def __ge__(self, other): return self.__gt__(other) or self.__eq__(other) @staticmethod def _quarter_to_int(quarter): if quarter.lower() == Term.WINTER: return 1 if quarter.lower() == Term.SPRING: return 2 if quarter.lower() == Term.SUMMER: return 3 return 4 def int_key(self): return int(self.year) 10 + self._quarter_to_int(self.quarter)	[ 1, 529, 276, 1112, 420, 29958, 7262, 29899, 277, 29899, 11989, 29914, 15775, 29899, 14592, 24691, 13, 3166, 9557, 29889, 13239, 1053, 29431, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 13, 13, 1990, 11814, 29898, 9794, 29889, 3195, 1125, 13, 1678, 317, 10593, 4214, 353, 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pytorch_lightning/__init__.py	alanhdu/pytorch-lightning	3	1611149	<gh_stars>1-10 """Root package info.""" import logging import os from pytorch_lightning.info import ( # noqa: F401 __author__, __author_email__, __copyright__, __docs__, __homepage__, __license__, __version__, ) _root_logger = logging.getLogger() _logger = logging.getLogger(__name__) _logger.setLevel(logging.INFO) # if root logger has handlers, propagate messages up and let root logger process them if not _root_logger.hasHandlers(): _logger.addHandler(logging.StreamHandler()) _logger.propagate = False _PACKAGE_ROOT = os.path.dirname(__file__) _PROJECT_ROOT = os.path.dirname(_PACKAGE_ROOT) from pytorch_lightning import metrics # noqa: E402 from pytorch_lightning.callbacks import Callback # noqa: E402 from pytorch_lightning.core import LightningDataModule, LightningModule # noqa: E402 from pytorch_lightning.trainer import Trainer # noqa: E402 from pytorch_lightning.utilities.seed import seed_everything # noqa: E402 __all__ = [ 'Trainer', 'LightningDataModule', 'LightningModule', 'Callback', 'seed_everything', 'metrics', ] # for compatibility with namespace packages __import__('pkg_resources').declare_namespace(__name__)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 15945, 29908, 10303, 3577, 5235, 1213, 15945, 13, 13, 5215, 12183, 13, 5215, 2897, 13, 13, 3166, 282, 3637, 25350, 29918, 4366, 1076, 29889, 3888, 1053, 313, 29871, 396, 694, 25621, 29901, 383, 29946, 29900, 29896, 13, 1678, 4770, 8921, 1649, 29892, 13, 1678, 4770, 8921, 29918, 5269, 1649, 29892, 13, 1678, 4770, 8552, 1266, 1649, 29892, 13, 1678, 4770, 2640, 1649, 29892, 13, 1678, 4770, 5184, 3488, 1649, 29892, 13, 1678, 4770, 506, 1947, 1649, 29892, 13, 1678, 4770, 3259, 1649, 29892, 13, 29897, 13, 13, 29918, 4632, 29918, 21707, 353, 12183, 29889, 657, 16363, 580, 13, 29918, 21707, 353, 12183, 29889, 657, 16363, 22168, 978, 1649, 29897, 13, 29918, 21707, 29889, 842, 10108, 29898, 21027, 29889, 11690, 29897, 13, 13, 29937, 565, 3876, 17927, 756, 25795, 29892, 13089, 403, 7191, 701, 322, 1235, 3876, 17927, 1889, 963, 13, 361, 451, 903, 4632, 29918, 21707, 29889, 5349, 3481, 9306, 7295, 13, 1678, 903, 21707, 29889, 1202, 4598, 29898, 21027, 29889, 3835, 4598, 3101, 13, 1678, 903, 21707, 29889, 7728, 351, 403, 353, 7700, 13, 13, 29918, 29925, 11375, 10461, 29918, 21289, 353, 2897, 29889, 2084, 29889, 25721, 22168, 1445, 1649, 29897, 13, 29918, 8618, 17637, 29918, 21289, 353, 2897, 29889, 2084, 29889, 25721, 7373, 29925, 11375, 10461, 29918, 21289, 29897, 13, 13, 3166, 282, 3637, 25350, 29918, 4366, 1076, 1053, 21556, 29871, 396, 694, 25621, 29901, 382, 29946, 29900, 29906, 13, 3166, 282, 3637, 25350, 29918, 4366, 1076, 29889, 14035, 29879, 1053, 8251, 1627, 29871, 396, 694, 25621, 29901, 382, 29946, 29900, 29906, 13, 3166, 282, 3637, 25350, 29918, 4366, 1076, 29889, 3221, 1053, 12790, 1076, 1469, 7355, 29892, 12790, 1076, 7355, 29871, 396, 694, 25621, 29901, 382, 29946, 29900, 29906, 13, 3166, 282, 3637, 25350, 29918, 4366, 1076, 29889, 3018, 4983, 1053, 3201, 4983, 29871, 396, 694, 25621, 29901, 382, 29946, 29900, 29906, 13, 3166, 282, 3637, 25350, 29918, 4366, 1076, 29889, 4422, 1907, 29889, 26776, 1053, 16717, 29918, 17991, 1918, 29871, 396, 694, 25621, 29901, 382, 29946, 29900, 29906, 13, 13, 1649, 497, 1649, 353, 518, 13, 1678, 525, 5323, 4983, 742, 13, 1678, 525, 20769, 1076, 1469, 7355, 742, 13, 1678, 525, 20769, 1076, 7355, 742, 13, 1678, 525, 10717, 742, 13, 1678, 525, 26776, 29918, 17991, 1918, 742, 13, 1678, 525, 2527, 10817, 742, 13, 29962, 13, 13, 29937, 363, 24521, 411, 7397, 9741, 13, 1649, 5215, 1649, 877, 15865, 29918, 13237, 2824, 7099, 8663, 29918, 22377, 22168, 978, 1649, 29897, 13, 2 ]
django_tex/environment.py	massimilianoporzio/django-tex	66	71423	<reponame>massimilianoporzio/django-tex from jinja2 import Environment from django_tex.filters import FILTERS def environment(options): options.update( { "autoescape": None, "extensions": ["django_tex.extensions.GraphicspathExtension"], } ) env = Environment(options) env.filters = FILTERS return env	[ 1, 529, 276, 1112, 420, 29958, 25379, 326, 20548, 459, 272, 29920, 601, 29914, 14095, 29899, 4776, 13, 3166, 432, 262, 1764, 29906, 1053, 16738, 13, 13, 3166, 9557, 29918, 4776, 29889, 26705, 1053, 383, 6227, 4945, 29903, 13, 13, 13, 1753, 5177, 29898, 1068, 6768, 1125, 13, 1678, 3987, 29889, 5504, 29898, 13, 4706, 426, 13, 9651, 376, 6921, 21587, 1115, 6213, 29892, 13, 9651, 376, 24299, 1115, 6796, 14095, 29918, 4776, 29889, 24299, 29889, 9527, 293, 1028, 493, 17657, 12436, 13, 4706, 500, 13, 1678, 1723, 13, 1678, 8829, 353, 16738, 29898, 1068, 6768, 29897, 13, 1678, 8829, 29889, 26705, 353, 383, 6227, 4945, 29903, 13, 1678, 736, 8829, 13, 2 ]
torchio/transforms/preprocessing/intensity/histogram_random_change.py	GReguig/torchio	1	89209	import numpy as np from ....constants import DATA from .normalization_transform import NormalizationTransform from .histogram_standardization import normalize class HistogramRandomChange(NormalizationTransform): """ Same thins as HistogramStandardization but the landmarks is a random curve """ def __init__(self, masking_method=None, nb_point_ini = 50, nb_smooth=5, verbose=False, kwargs): super().__init__(masking_method=masking_method, verbose=verbose, kwargs) self.nb_point_ini = nb_point_ini self.nb_smooth = nb_smooth def apply_normalization(self, sample, image_name, mask): image_dict = sample[image_name] landmarks = self.__get_random_landmarks() image_dict[DATA] = normalize( image_dict[DATA], landmarks, mask=mask, ) def __get_random_landmarks(self): y = np.squeeze(np.sort(np.random.rand(1, self.nb_point_ini))) x1 = np.linspace(0, 1, self.nb_point_ini) x2 = np.linspace(0, 1, 100) y2 = 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colour/characterisation/displays.py	wenh06/colour	1	93596	<filename>colour/characterisation/displays.py # -- coding: utf-8 -- """ RGB Display Primaries ===================== Defines spectral distributions classes for the datasets from :mod:`colour.characterisation.datasets.displays` module: - :class:`colour.characterisation.RGB_DisplayPrimaries`: Implements support for a RGB display (such as a CRT or LCD) primaries multi-spectral distributions. """ from __future__ import division, unicode_literals from colour.colorimetry import MultiSpectralDistributions __author__ = 'Colour Developers' __copyright__ = 'Copyright (C) 2013-2020 - Colour Developers' __license__ = 'New BSD License - https://opensource.org/licenses/BSD-3-Clause' __maintainer__ = 'Colour Developers' __email__ = '<EMAIL>' __status__ = 'Production' __all__ = ['RGB_DisplayPrimaries'] class RGB_DisplayPrimaries(MultiSpectralDistributions): """ Implements support for a RGB display (such as a CRT or LCD) primaries multi-spectral distributions. Parameters ---------- data : Series or Dataframe or Signal or MultiSignals or \ MultiSpectralDistributions or array_like or dict_like, optional Data to be stored in the multi-spectral distributions. domain : array_like, optional Values to initialise the multiple :class:`colour.SpectralDistribution` class instances :attr:`colour.continuous.Signal.wavelengths` attribute with. If both ``data`` and ``domain`` arguments are defined, the latter will be used to initialise the :attr:`colour.continuous.Signal.wavelengths` attribute. labels : array_like, optional Names to use for the :class:`colour.SpectralDistribution` class instances. Other Parameters ---------------- name : unicode, optional Multi-spectral distributions name. interpolator : object, optional Interpolator class type to use as interpolating function for the :class:`colour.SpectralDistribution` class instances. interpolator_kwargs : dict_like, optional Arguments to use when instantiating the interpolating function of the :class:`colour.SpectralDistribution` class instances. extrapolator : object, optional Extrapolator class type to use as extrapolating function for the :class:`colour.SpectralDistribution` class instances. extrapolator_kwargs : dict_like, optional Arguments to use when instantiating the extrapolating function of the :class:`colour.SpectralDistribution` class instances. strict_labels : array_like, optional Multi-spectral distributions labels for figures, default to :attr:`colour.characterisation.RGB_DisplayPrimaries.labels` attribute value. """ def __init__(self, data=None, domain=None, labels=None, kwargs): super(RGB_DisplayPrimaries, self).__init__( data, domain, labels=('red', 'green', 'blue'), kwargs)	[ 1, 529, 9507, 29958, 1054, 473, 29914, 18609, 4371, 29914, 2218, 12922, 29889, 2272, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 13, 28212, 17440, 9724, 4314, 13, 9166, 2751, 29922, 13, 13, 3206, 1475, 23161, 18822, 4413, 363, 278, 20035, 515, 13, 29901, 1545, 18078, 1054, 473, 29889, 18609, 4371, 29889, 14538, 1691, 29889, 2218, 12922, 29952, 3883, 29901, 13, 13, 29899, 259, 584, 1990, 18078, 1054, 473, 29889, 18609, 4371, 29889, 28212, 29918, 9323, 18213, 4314, 6998, 1954, 9711, 2304, 13, 1678, 363, 263, 334, 28212, 29930, 2479, 313, 14565, 408, 263, 334, 11341, 29911, 29930, 470, 334, 29931, 6530, 7528, 1903, 4314, 2473, 29899, 21494, 1705, 13, 1678, 18822, 29889, 13, 15945, 29908, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8542, 29892, 29104, 29918, 20889, 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pikarpc/chunked_utils.py	valfrom/python_pika_rpc	0	74578	from pikarpc.byte_utils import int_to_bytes, int_from_bytes, float_to_bytes, float_from_bytes from PIL import Image from pikarpc.image_utils import image_from_byte_array, image_to_byte_array def bytes_from_value(v, lossless): result = bytes() if type(v) == bytes: result += b'b' result += v elif type(v) == str: result += b's' result += v.encode('utf-8') elif type(v) == bool: result += b'v' result += int_to_bytes(1 if v else 0) elif type(v) == int: result += b'i' result += int_to_bytes(v) elif type(v) == float: result += b'f' result += float_to_bytes(v) elif type(v) == list: result += b'l' result += chunked_bytes_from_list(v, lossless) elif type(v) == dict: result += b'd' result += chunked_bytes_from_dict(v, lossless) elif issubclass(type(v), Image.Image): result += b'p' result += image_to_byte_array(v, fmt='PNG' if lossless else 'JPEG') return result def value_from_bytes(b, index): l = int_from_bytes(b[index:index + 4]) index += 4 t = b[index:index + 1].decode('utf-8') index += 1 data = b[index:index + l] index += l val = data if t == 's': val = data.decode('utf-8') elif t == 'v': val = True if int_from_bytes(data) == 1 else False elif t == 'i': val = int_from_bytes(data) elif t == 'f': val = float_from_bytes(data) elif t == 'd': val = chunked_dict_from_bytes(data) elif t == 'l': val = chunked_list_from_bytes(data) elif t == 'p': val = image_from_byte_array(data) return index, val def chunked_bytes_from_object(o, lossless=False): result = bytes() if type(o) == dict: result += b'd' result += chunked_bytes_from_dict(o, lossless) elif type(o) == list: result += b'l' result += chunked_bytes_from_list(o, lossless) else: bts = bytes_from_value(o, lossless) result += bts[0:1] result += int_to_bytes(len(bts) - 1) result += bts return result def chunked_bytes_from_list(arr, lossless): result = bytes() result += int_to_bytes(len(arr)) for v in arr: bts = bytes_from_value(v, lossless) result += int_to_bytes(len(bts) - 1) result += bts return result def chunked_bytes_from_dict(d: dict, lossless): result = bytes() for k, v in d.items(): bts = bytes_from_value(v, lossless) kb = k.encode('utf-8') result += int_to_bytes(len(kb)) result += kb result += int_to_bytes(len(bts) - 1) result += bts return result def chunked_object_from_bytes(b): t = b[0:1] if t == b'd': return chunked_dict_from_bytes(b[1:]) elif t == b'l': return chunked_list_from_bytes(b[1:]) return value_from_bytes(b[1:], 0)[1] def chunked_list_from_bytes(b): result = [] index = 0 l = int_from_bytes(b[:4]) index += 4 for i in range(0, l): index, val = value_from_bytes(b, index) result.append(val) return result def chunked_dict_from_bytes(b): result = {} index = 0 while index < len(b): kl = int_from_bytes(b[index:index + 4]) index += 4 key = b[index:index + kl].decode('utf-8') index += kl index, val = value_from_bytes(b, index) result[key] = val return result	[ 1, 515, 282, 638, 279, 6739, 29889, 10389, 29918, 13239, 1053, 938, 29918, 517, 29918, 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estimation/test/test_boostrap_errors.py	eribean/GIRTH	0	197852	import unittest import warnings import numpy as np from girth.synthetic import create_synthetic_irt_dichotomous, create_synthetic_irt_polytomous from girth import (rasch_jml, onepl_jml, twopl_jml, grm_jml, pcm_jml, rasch_mml, onepl_mml, twopl_mml, twopl_mml_eap, grm_mml_eap, pcm_mml, grm_mml, rasch_conditional, standard_errors_bootstrap) def _contains_keys(results, identifier): """Checks for standard keys in bootstrap result.""" for key in ['Standard Errors', '95th CI', 'Bias', 'Solution']: if key not in results.keys(): raise AssertionError(f"Key: {key} not found in return argument." f"Error in {identifier}") for key in results['95th CI']: if np.any(results['95th CI'][key][1] < results['95th CI'][key][0]): raise AssertionError(f"Confidence Interval Error. {key} " f"Error in {identifier}") warnings.filterwarnings('ignore') class TestBootstrapStandardErrors(unittest.TestCase): """Test Fixture for Bootstrap Standard Errors.""" # Smoke Tests to make sure they give an output # Tests bootstrap errors def setUp(self): rng = np.random.default_rng(48725309847520) self.discrimination = 0.25 + rng.rayleigh(.7, 5) self.difficulty = np.linspace(-1.5, 1.5, 5) self.difficulty_poly = np.sort(rng.standard_normal((5, 3)), axis=1) self.theta = rng.standard_normal(1000) self.options = {'max_iteration': 2} self.boot_iter = 10 def test_jml_methods_dichotomous(self): """Testing Bootstrap on JML Methods Dichotomous.""" rng = np.random.default_rng(39485720394875) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, rasch_jml, n_processors=1, bootstrap_iterations=self.boot_iter, options=self.options) self.assertEqual(result['Standard Errors']['Discrimination'][0], 0) _contains_keys(result, 'Rasch JML') result = standard_errors_bootstrap(dataset, onepl_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '1PL JML') result = standard_errors_bootstrap(dataset, twopl_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '2PL JML') @unittest.skip(reason="Github") def test_jml_methods_polytomous(self): """Testing Bootstrap on JML Methods Polytomous.""" rng = np.random.default_rng(8672379287302651089) dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, grm_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'GRM JML') dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng, model='pcm') result = standard_errors_bootstrap(dataset, pcm_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'PCM JML') @unittest.skip(reason="Github") def test_rasch_conditional(self): """Testing rasch conditional methods.""" rng = np.random.default_rng(426376867989075563) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, rasch_conditional, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertEqual(result['Standard Errors']['Discrimination'][0], 0) _contains_keys(result, 'Rasch MML') @unittest.skip(reason="Github") def test_mml_methods_dichotomous(self): """Testing Bootstrap on MML Methods Dichotomous.""" rng = np.random.default_rng(8764328976187234) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, rasch_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertEqual(result['Standard Errors']['Discrimination'][0], 0) _contains_keys(result, 'Rasch MML') result = standard_errors_bootstrap(dataset, onepl_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '1PL MML') result = standard_errors_bootstrap(dataset, twopl_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '2PL MML') @unittest.skip(reason="Github") def test_mml_methods_polytomous(self): """Testing Bootstrap on MML Methods Polytomous.""" rng = np.random.default_rng(4347621232345345696) dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, grm_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'GRM MML') dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng, model='pcm') result = standard_errors_bootstrap(dataset, pcm_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'PCM MML') @unittest.skip(reason="Github") def test_eap_mml_methods(self): """Testing Bootstrap on eap methods.""" rng = np.random.default_rng(66739234876520981) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, twopl_mml_eap, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '2PL EAP-MML') dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, grm_mml_eap, 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syncli/cmd/hosts.py	comodit/synapse-client	2	66737	<filename>syncli/cmd/hosts.py """ Manipulate the host resource. """ from syncli.cmd.generic import GenericCmd from syncli.router import register from syncli.api.hosts import HostsApi @register(HostsApi) class HostsCmd(GenericCmd): attributes = (('status', [{'name': 'ip', 'help': "Retrieves the host's ip addresses", 'option_action': 'store_true'}, {'name': 'hostname', 'help': "Retrieves the host's hostnames", 'option_action': 'store_true'}, {'name': 'mac_addresses', 'help': "Retrieves the host's mac addresses", 'option_action': 'store_true'}, {'name': 'memtotal', 'help': "Retrieves the host's total memory", 'option_action': 'store_true'}, {'name': 'platform', 'help': "Retrieves the host's linux platform", 'option_action': 'store_true'}, {'name': 'uptime', 'help': "Retrieves the host's uptime", 'option_action': 'store_true'}, {'name': 'all', 'option_action': 'store_true', 'help': "Gets all options at once"}]),) def status(self, argv): """ Gets the status of reacheable hosts. """ options, name = self._get_options(argv, 'status') opts = [] if not options.get('all'): opts = [k for k, v in options.iteritems()] else: opts = [opts['name'] for opts in self.attributes[0][1]] self.do_action('infos', opts)	[ 1, 529, 9507, 29958, 16593, 492, 29914, 9006, 29914, 23525, 29889, 2272, 13, 15945, 29908, 2315, 666, 5987, 278, 3495, 6503, 29889, 13, 15945, 29908, 13, 13, 3166, 16523, 492, 29889, 9006, 29889, 19206, 1053, 3251, 293, 23651, 13, 3166, 16523, 492, 29889, 15140, 1053, 6036, 13, 3166, 16523, 492, 29889, 2754, 29889, 23525, 1053, 16956, 29879, 11713, 13, 13, 13, 29992, 9573, 29898, 8514, 29879, 11713, 29897, 13, 1990, 16956, 29879, 23651, 29898, 15809, 23651, 1125, 13, 13, 1678, 8393, 353, 313, 877, 4882, 742, 518, 10998, 978, 2396, 525, 666, 742, 13, 462, 1669, 525, 8477, 2396, 376, 8015, 2546, 1960, 278, 3495, 29915, 29879, 10377, 14157, 613, 13, 462, 1669, 525, 3385, 29918, 2467, 2396, 525, 8899, 29918, 3009, 16675, 13, 462, 795, 11117, 978, 2396, 525, 28988, 742, 13, 462, 1669, 525, 8477, 2396, 376, 8015, 2546, 1960, 278, 3495, 29915, 29879, 3495, 7039, 613, 13, 462, 1669, 525, 3385, 29918, 2467, 2396, 525, 8899, 29918, 3009, 16675, 13, 462, 795, 11117, 978, 2396, 525, 8628, 29918, 7328, 267, 742, 13, 462, 1669, 525, 8477, 2396, 376, 8015, 2546, 1960, 278, 3495, 29915, 29879, 5825, 14157, 613, 13, 462, 1669, 525, 3385, 29918, 2467, 2396, 525, 8899, 29918, 3009, 16675, 13, 462, 795, 11117, 978, 2396, 525, 6954, 7827, 742, 13, 462, 1669, 525, 8477, 2396, 376, 8015, 2546, 1960, 278, 3495, 29915, 29879, 3001, 3370, 613, 13, 462, 1669, 525, 3385, 29918, 2467, 2396, 525, 8899, 29918, 3009, 16675, 13, 462, 795, 11117, 978, 2396, 525, 12120, 742, 13, 462, 1669, 525, 8477, 2396, 376, 8015, 2546, 1960, 278, 3495, 29915, 29879, 10542, 7481, 613, 13, 462, 1669, 525, 3385, 29918, 2467, 2396, 525, 8899, 29918, 3009, 16675, 13, 462, 795, 11117, 978, 2396, 525, 21245, 603, 742, 13, 462, 1669, 525, 8477, 2396, 376, 8015, 2546, 1960, 278, 3495, 29915, 29879, 318, 415, 603, 613, 13, 462, 1669, 525, 3385, 29918, 2467, 2396, 525, 8899, 29918, 3009, 16675, 13, 462, 795, 11117, 978, 2396, 525, 497, 742, 13, 462, 1669, 525, 3385, 29918, 2467, 2396, 525, 8899, 29918, 3009, 742, 13, 462, 1669, 525, 8477, 2396, 376, 29954, 1691, 599, 3987, 472, 2748, 29908, 6525, 511, 29897, 13, 13, 1678, 822, 4660, 29898, 1311, 29892, 1852, 29894, 1125, 13, 4706, 9995, 402, 1691, 278, 4660, 310, 337, 1829, 519, 18982, 29889, 13, 4706, 9995, 13, 13, 4706, 3987, 29892, 1024, 353, 1583, 3032, 657, 29918, 6768, 29898, 19218, 29892, 525, 4882, 1495, 13, 13, 4706, 29111, 353, 5159, 13, 4706, 565, 451, 3987, 29889, 657, 877, 497, 29374, 13, 9651, 29111, 353, 518, 29895, 363, 413, 29892, 325, 297, 3987, 29889, 1524, 7076, 580, 29962, 13, 4706, 1683, 29901, 13, 9651, 29111, 353, 518, 25707, 1839, 978, 2033, 363, 29111, 297, 1583, 29889, 15697, 29961, 29900, 3816, 29896, 5262, 13, 13, 4706, 1583, 29889, 1867, 29918, 2467, 877, 7192, 359, 742, 29111, 29897, 13, 2 ]
onadata/libs/exceptions.py	BuildAMovement/whistler-kobocat	38	97068	class NoRecordsFoundError(Exception): pass class J2XException(Exception): pass	[ 1, 770, 1939, 4789, 4339, 9692, 2392, 29898, 2451, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 435, 29906, 29990, 2451, 29898, 2451, 1125, 13, 1678, 1209, 13, 2 ]
multichain.py	MultiChain/multichain-explorer-2	8	177892	<reponame>MultiChain/multichain-explorer-2 # -- coding: utf-8 -- # MultiChain Explorer 2 (c) Coin Sciences Ltd # All rights reserved under BSD 3-clause license import cfg import utils import readconf import base64 #import requests from urllib import request from urllib import parse import urllib import json from collections import OrderedDict import time def multichain_init_rpc_parameters(chain): if readconf.is_missing(cfg.settings[chain],'datadir'): cfg.settings[chain]["datadir"]="~/.multichain" datadir=cfg.settings[chain]["datadir"] + "/" + cfg.settings[chain]["name"] + "/" datadir=utils.full_dir_name(datadir) if readconf.is_missing(cfg.settings[chain],'rpcport'): params_file=datadir + "params.dat" if not utils.file_exists(params_file): utils.print_error("Couldn't find MultiChain directory " + datadir) return False params=readconf.read_plain_config_file(params_file) if params['default-rpc-port'] is None: utils.print_error("Couldn't find default-rpc-port in " + params_file) return False cfg.settings[chain]["rpcport"] = params['default-rpc-port'].split("#", 1)[0].rstrip() conf_file=datadir + "multichain.conf" if readconf.is_missing(cfg.settings[chain],'rpcuser') or readconf.is_missing(cfg.settings[chain],'rpcpassword'): if not utils.file_exists(conf_file): utils.print_error("Couldn't find configuration file " + conf_file) return False conf=readconf.read_plain_config_file(conf_file) if readconf.is_missing(cfg.settings[chain],'rpcuser'): if readconf.is_missing(conf,'rpcuser'): utils.print_error("Couldn't find rpcuser in " + conf_file) return False cfg.settings[chain]['rpcuser']=conf['rpcuser'] if readconf.is_missing(cfg.settings[chain],'rpcpassword'): if readconf.is_missing(conf,'rpcpassword'): utils.print_error("Couldn't find rpcpassword in " + conf_file) return False cfg.settings[chain]['rpcpassword']=conf['rpcpassword'] if not readconf.is_missing(conf,'rpcport'): cfg.settings[chain]['rpcport']=conf['rpcport'] return True class MCEChain: def __init__(self, name): self.name=name self.config = cfg.settings[name].copy() self.config["ini-name"]=name self.config["path-name"]=parse.quote_plus(self.config['name']) self.config["path-ini-name"]=parse.quote_plus(name) def initialize(self): url="http://127.0.0.1" if not readconf.is_missing(self.config,'rpchost'): url=self.config['rpchost'] url=url + ":" + self.config["rpcport"] userpass64 = base64.b64encode((self.config['rpcuser'] + ":" + self.config['rpcpassword']).encode("ascii")).decode("ascii") headers={ "Content-Type" : "application/json", "Connection" : "close", "Authorization" : "Basic " + userpass64 } self.config['multichain-url']=url self.config['multichain-headers']=headers # print(self.config) return True def request(self, method, params=[]): payload=json.dumps({ "id" : int(round(time.time() * 1000)), "method" : method, "params" : params }) headers=self.config['multichain-headers'].copy() headers["Content-Length"] = str(len(payload)) try: # req = requests.post(cfg.multichain_url, data=payload, headers=headers) data = str(payload) data = data.encode('utf-8') ureq = request.Request(self.config['multichain-url'], data=data) for header,value in headers.items(): ureq.add_header(header, value) req = request.urlopen(ureq) except urllib.error.HTTPError as e: resp=e.read() req_json=json.loads(resp.decode('utf-8')) if req_json['error'] is not None: req_json['error']="Error " + str(req_json['error'] ['code']) + ": " + req_json['error']['message'] return req_json except urllib.error.URLError as e: error_str="MultiChain is not running: " + str(e.reason) req_json={ 'result': None, 'error' : error_str, 'connection-error' : True } return req_json # except Exception as error: # print("C") # error_str="MultiChain is not running: " + str(error) # print(str(error)) # req_json={ # 'result': None, # 'error' : error_str, # 'connection-error' : True # } # utils.print_error(error_str) # return 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algorithm/graph_theory/even_tree/solution.py	delaanthonio/hackerrank	1	139878	#!/usr/bin/env python3 """Solution for https://www.hackerrank.com/challenges/even-tree""" from collections import defaultdict, deque from typing import Dict, Set Vertex = int Tree = Dict[Vertex, Set[Vertex]] def trim_tree(tree: Tree, root=1) -> None: """Make tree a directed graph.""" for child in tree[root]: try: tree[child].remove(root) except KeyError: pass trim_tree(tree, child) def prune_tree(tree: Tree, root: Vertex=1) -> int: """Given a tree, determine the amount of edges that can be pruned.""" count = 0 for child in tree[root]: if tree_size(tree, child) % 2 == 0: count += 1 count += prune_tree(tree, child) return count def tree_size(subtree: Tree, start: Vertex=1, *, root: Vertex=1) -> int: """Count the amount of vertices in the subtree using a bfs traversal.""" visited = {root, start} queue = deque([x for x in subtree[start]]) count = 1 while queue: vertex = queue.popleft() if vertex not in visited: visited.add(vertex) count += 1 for next_vertex in subtree[vertex]: if next_vertex not in visited: queue.append(next_vertex) return count def main(): """Print the amount of edges that can be pruned from a tree.""" tree = defaultdict(set) vertex_count, edge_count = input().split() vertex_count = int(vertex_count) edge_count = int(edge_count) for _ in range(edge_count): v1, v2 = input().split() v1 = int(v1) v2 = int(v2) tree[v1].add(v2) tree[v2].add(v1) trim_tree(tree) print(prune_tree(tree)) if __name__ == '__main__': main()	[ 1, 18787, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 15945, 29908, 13296, 918, 363, 2045, 597, 1636, 29889, 29882, 28940, 10003, 29889, 510, 29914, 305, 16047, 267, 29914, 11884, 29899, 8336, 15945, 29908, 13, 13, 3166, 16250, 1053, 2322, 8977, 29892, 316, 802, 13, 3166, 19229, 1053, 360, 919, 29892, 3789, 13, 13, 22479, 353, 938, 13, 9643, 353, 360, 919, 29961, 22479, 29892, 3789, 29961, 22479, 5262, 13, 13, 13, 1753, 17151, 29918, 8336, 29898, 8336, 29901, 15472, 29892, 3876, 29922, 29896, 29897, 1599, 6213, 29901, 13, 1678, 9995, 9984, 5447, 263, 10624, 3983, 1213, 15945, 13, 1678, 363, 2278, 297, 5447, 29961, 4632, 5387, 13, 4706, 1018, 29901, 13, 9651, 5447, 29961, 5145, 1822, 5992, 29898, 4632, 29897, 13, 4706, 5174, 7670, 2392, 29901, 13, 9651, 1209, 13, 4706, 17151, 29918, 8336, 29898, 8336, 29892, 2278, 29897, 13, 13, 13, 1753, 544, 1540, 29918, 8336, 29898, 8336, 29901, 15472, 29892, 3876, 29901, 1798, 4776, 29922, 29896, 29897, 1599, 938, 29901, 13, 1678, 9995, 29954, 5428, 263, 5447, 29892, 8161, 278, 5253, 310, 12770, 393, 508, 367, 544, 348, 287, 1213, 15945, 13, 1678, 2302, 353, 29871, 29900, 13, 1678, 363, 2278, 297, 5447, 29961, 4632, 5387, 13, 4706, 565, 5447, 29918, 2311, 29898, 8336, 29892, 2278, 29897, 1273, 29871, 29906, 1275, 29871, 29900, 29901, 13, 9651, 2302, 4619, 29871, 29896, 13, 4706, 2302, 4619, 544, 1540, 29918, 8336, 29898, 8336, 29892, 2278, 29897, 13, 13, 1678, 736, 2302, 13, 13, 13, 1753, 5447, 29918, 2311, 29898, 1491, 8336, 29901, 15472, 29892, 1369, 29901, 1798, 4776, 29922, 29896, 29892, 334, 29892, 3876, 29901, 1798, 4776, 29922, 29896, 29897, 1599, 938, 29901, 13, 1678, 9995, 3981, 278, 5253, 310, 13791, 297, 278, 1014, 8336, 773, 263, 289, 5847, 13310, 284, 1213, 15945, 13, 1678, 16669, 353, 426, 4632, 29892, 1369, 29913, 13, 1678, 9521, 353, 316, 802, 4197, 29916, 363, 921, 297, 1014, 8336, 29961, 2962, 24960, 13, 1678, 2302, 353, 29871, 29896, 13, 1678, 1550, 9521, 29901, 13, 4706, 12688, 353, 9521, 29889, 7323, 1563, 580, 13, 4706, 565, 12688, 451, 297, 16669, 29901, 13, 9651, 16669, 29889, 1202, 29898, 369, 4776, 29897, 13, 9651, 2302, 4619, 29871, 29896, 13, 9651, 363, 2446, 29918, 369, 4776, 297, 1014, 8336, 29961, 369, 4776, 5387, 13, 18884, 565, 2446, 29918, 369, 4776, 451, 297, 16669, 29901, 13, 462, 1678, 9521, 29889, 4397, 29898, 4622, 29918, 369, 4776, 29897, 13, 1678, 736, 2302, 13, 13, 13, 1753, 1667, 7295, 13, 1678, 9995, 11816, 278, 5253, 310, 12770, 393, 508, 367, 544, 348, 287, 515, 263, 5447, 1213, 15945, 13, 1678, 5447, 353, 2322, 8977, 29898, 842, 29897, 13, 1678, 12688, 29918, 2798, 29892, 7636, 29918, 2798, 353, 1881, 2141, 5451, 580, 13, 1678, 12688, 29918, 2798, 353, 938, 29898, 369, 4776, 29918, 2798, 29897, 13, 1678, 7636, 29918, 2798, 353, 938, 29898, 12864, 29918, 2798, 29897, 13, 1678, 363, 903, 297, 3464, 29898, 12864, 29918, 2798, 1125, 13, 4706, 325, 29896, 29892, 325, 29906, 353, 1881, 2141, 5451, 580, 13, 4706, 325, 29896, 353, 938, 29898, 29894, 29896, 29897, 13, 4706, 325, 29906, 353, 938, 29898, 29894, 29906, 29897, 13, 4706, 5447, 29961, 29894, 29896, 1822, 1202, 29898, 29894, 29906, 29897, 13, 4706, 5447, 29961, 29894, 29906, 1822, 1202, 29898, 29894, 29896, 29897, 13, 1678, 17151, 29918, 8336, 29898, 8336, 29897, 13, 1678, 1596, 29898, 558, 1540, 29918, 8336, 29898, 8336, 876, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 1667, 580, 13, 2 ]
app/mtracker/urls.py	fizista/Mturk-Tracker	0	119500	<filename>app/mtracker/urls.py from django.conf import settings from django.conf.urls import patterns, include, url from django.contrib import admin from django.core.management import call_command admin.autodiscover() def bad(request): """ Simulates a server error """ 1 / 0 urlpatterns = patterns('mtracker', #url(r'^$', 'main.views.index', name='index'), url(r'^admin/', include(admin.site.urls)), url(r'^documentation/$', 'docs.views.docs_readme', name='docs_main'), (r'^bad/$', bad), ) urlpatterns += patterns('', url(r'', include('mturk.api.urls')), url(r'', include('mturk.search.urls')), url(r'^classification/', include('mturk.classification.urls')), url('', include('mturk.main.urls')), url(r'^top_requesters/', include('mturk.toprequesters.urls')), url(r'^documentation/', include('sphinxdoc.urls')), ) # # POST-INIT # ## In DEBUG mode, serve media files through Django. if settings.DEBUG: # Remove leading and trailing slashes so the regex matches. media_url = settings.MEDIA_URL.lstrip('/').rstrip('/') urlpatterns += patterns('', (r'^%s/(?P<path>.*)$' % media_url, 'django.views.static.serve', {'document_root': settings.MEDIA_ROOT}), ) from django.contrib.staticfiles.urls import staticfiles_urlpatterns urlpatterns += staticfiles_urlpatterns() if getattr(settings, 'JSCONF_DEVELOPMENT_MODE', False): # the urls module always has settings loaded, so execute this command # to generate jsconf each time Django starts. This way, we can serve the # jsconf.js as a static file. # This is enabled only for DEBUG configs, for stable you should run # ./manage.py generatejsconf # after every deploy. call_command('makejsconf')	[ 1, 529, 9507, 29958, 932, 29914, 29885, 3018, 4937, 29914, 26045, 29889, 2272, 13, 3166, 9557, 29889, 5527, 1053, 6055, 13, 3166, 9557, 29889, 5527, 29889, 26045, 1053, 15038, 29892, 3160, 29892, 3142, 13, 3166, 9557, 29889, 21570, 1053, 4113, 13, 3166, 9557, 29889, 3221, 29889, 21895, 1053, 1246, 29918, 6519, 13, 13, 6406, 29889, 1300, 397, 10669, 957, 580, 13, 13, 13, 1753, 4319, 29898, 3827, 1125, 13, 1678, 9995, 3439, 352, 1078, 263, 1923, 1059, 9995, 13, 268, 29896, 847, 29871, 29900, 13, 13, 2271, 11037, 29879, 353, 15038, 877, 29885, 3018, 4937, 742, 13, 13, 1678, 396, 2271, 29898, 29878, 29915, 29985, 29938, 742, 525, 3396, 29889, 7406, 29889, 2248, 742, 1024, 2433, 2248, 5477, 13, 13, 1678, 3142, 29898, 29878, 29915, 29985, 6406, 29914, 742, 3160, 29898, 6406, 29889, 2746, 29889, 26045, 8243, 13, 1678, 3142, 29898, 29878, 29915, 29985, 12663, 13346, 742, 525, 2640, 29889, 7406, 29889, 2640, 29918, 949, 1004, 742, 1024, 2433, 2640, 29918, 3396, 5477, 13, 1678, 313, 29878, 29915, 29985, 12313, 13346, 742, 4319, 511, 13, 29897, 13, 13, 2271, 11037, 29879, 4619, 15038, 877, 742, 13, 1678, 3142, 29898, 29878, 29915, 742, 3160, 877, 4378, 29641, 29889, 2754, 29889, 26045, 1495, 511, 13, 1678, 3142, 29898, 29878, 29915, 742, 3160, 877, 4378, 29641, 29889, 4478, 29889, 26045, 1495, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 1990, 2450, 29914, 742, 3160, 877, 4378, 29641, 29889, 1990, 2450, 29889, 26045, 1495, 511, 13, 1678, 3142, 877, 742, 3160, 877, 4378, 29641, 29889, 3396, 29889, 26045, 1495, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 3332, 29918, 3827, 414, 29914, 742, 3160, 877, 4378, 29641, 29889, 3332, 3827, 414, 29889, 26045, 1495, 511, 13, 1678, 3142, 29898, 29878, 29915, 29985, 12663, 29914, 742, 3160, 877, 29879, 561, 14668, 1514, 29889, 26045, 1495, 511, 13, 29897, 13, 13, 29937, 13, 29937, 11971, 29899, 26019, 13, 29937, 13, 13, 2277, 512, 21681, 4464, 29892, 9080, 5745, 2066, 1549, 15337, 29889, 13, 361, 6055, 29889, 18525, 29901, 13, 1678, 396, 15154, 8236, 322, 25053, 24765, 267, 577, 278, 6528, 7087, 29889, 13, 1678, 5745, 29918, 2271, 353, 6055, 29889, 2303, 4571, 29909, 29918, 4219, 29889, 29880, 17010, 11219, 2824, 29878, 17010, 11219, 1495, 13, 1678, 3142, 11037, 29879, 4619, 15038, 877, 742, 13, 4706, 313, 29878, 29915, 29985, 29995, 29879, 29914, 10780, 29925, 29966, 2084, 29958, 5575, 1262, 29915, 1273, 5745, 29918, 2271, 29892, 525, 14095, 29889, 7406, 29889, 7959, 29889, 16349, 742, 13, 308, 11117, 3225, 29918, 4632, 2396, 6055, 29889, 2303, 4571, 29909, 29918, 21289, 9594, 13, 1678, 1723, 13, 1678, 515, 9557, 29889, 21570, 29889, 7959, 5325, 29889, 26045, 1053, 2294, 5325, 29918, 2271, 11037, 29879, 13, 1678, 3142, 11037, 29879, 4619, 2294, 5325, 29918, 2271, 11037, 29879, 580, 13, 13, 361, 679, 5552, 29898, 11027, 29892, 525, 8700, 6007, 29943, 29918, 2287, 12064, 3927, 13427, 3919, 29918, 20387, 742, 7700, 1125, 13, 1678, 396, 278, 23942, 3883, 2337, 756, 6055, 7500, 29892, 577, 6222, 445, 1899, 13, 1678, 396, 304, 5706, 6965, 5527, 1269, 931, 15337, 8665, 29889, 910, 982, 29892, 591, 508, 9080, 278, 13, 1678, 396, 6965, 5527, 29889, 1315, 408, 263, 2294, 934, 29889, 13, 1678, 396, 910, 338, 9615, 871, 363, 21681, 2295, 29879, 29892, 363, 13714, 366, 881, 1065, 13, 1678, 396, 259, 11431, 1171, 482, 29889, 2272, 5706, 1315, 5527, 13, 1678, 396, 1156, 1432, 7246, 29889, 13, 1678, 1246, 29918, 6519, 877, 5675, 1315, 5527, 1495, 13, 2 ]
setup.py	fonar/paypalhttp_python	0	1020	from setuptools import setup version = "1.0.0" long_description = """ PayPalHttp is a generic http client designed to be used with code-generated projects. """ setup( name="paypalhttp", long_description=long_description, version=version, author="PayPal", packages=["paypalhttp", "paypalhttp/testutils", "paypalhttp/serializers"], install_requires=['requests>=2.0.0', 'six>=1.0.0', 'pyopenssl>=0.15'], license="MIT", classifiers=[ 'Intended Audience :: Developers', 'Natural Language :: English', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.6', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: Implementation :: PyPy', 'Topic :: Software Development :: Libraries :: Python Modules' ], )	[ 1, 515, 731, 21245, 8789, 1053, 6230, 13, 13, 3259, 353, 376, 29896, 29889, 29900, 29889, 29900, 29908, 13, 13, 5426, 29918, 8216, 353, 9995, 13, 12, 15467, 18210, 5506, 338, 263, 10035, 1732, 3132, 8688, 304, 367, 1304, 411, 775, 29899, 13525, 9279, 29889, 13, 15945, 29908, 13, 13, 14669, 29898, 13, 1678, 1024, 543, 10472, 7830, 1124, 613, 13, 1678, 1472, 29918, 8216, 29922, 5426, 29918, 8216, 29892, 13, 1678, 1873, 29922, 3259, 29892, 13, 1678, 4148, 543, 15467, 18210, 613, 13, 1678, 9741, 29922, 3366, 10472, 7830, 1124, 613, 376, 10472, 7830, 1124, 29914, 1688, 13239, 613, 376, 10472, 7830, 1124, 29914, 15550, 19427, 12436, 13, 1678, 2601, 29918, 276, 339, 2658, 29922, 1839, 24830, 18572, 29906, 29889, 29900, 29889, 29900, 742, 525, 28319, 18572, 29896, 29889, 29900, 29889, 29900, 742, 525, 2272, 22156, 2536, 18572, 29900, 29889, 29896, 29945, 7464, 13, 1678, 19405, 543, 26349, 613, 13, 1678, 770, 14903, 11759, 13, 4706, 525, 2928, 2760, 319, 4749, 663, 4761, 10682, 414, 742, 13, 4706, 525, 29940, 18771, 17088, 4761, 4223, 742, 13, 4706, 525, 7094, 1218, 2184, 4761, 6570, 25266, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29906, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29906, 29889, 29953, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29906, 29889, 29955, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29941, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29946, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29945, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 29871, 29941, 29889, 29955, 742, 13, 4706, 525, 9283, 4056, 17088, 4761, 5132, 4761, 1954, 14607, 4761, 10772, 19737, 742, 13, 4706, 525, 7031, 293, 4761, 18540, 14650, 4761, 365, 4626, 4314, 4761, 5132, 3382, 2540, 29915, 13, 1678, 21251, 13, 29897, 13, 2 ]
analysis_tools/PYTHON_RICARDO/rpl/tools/voxelization/test_intersection.py	lefevre-fraser/openmeta-mms	0	52514	""" Represent a triangulated surface using a 3D boolean grid""" import numpy as np from scipy import ndimage import matplotlib.pyplot as plt import matplotlib.cm as cm voxel_size = 0.05 #stl_file = "50_standing" #stl_file = "50p_hunch8" stl_file = "volume_w_seats" file_name = "voxels_temp_" + stl_file + "_" + str(voxel_size) + ".npz" d = np.load(file_name) in_out = d["in_out"] #stl_file = "50_standing" stl_file = "50p_hunch8" file_name = "voxels_temp_" + stl_file + "_" + str(voxel_size) + ".npz" in_out_manikin_base = np.load(file_name)["in_out"] labels, count = ndimage.measurements.label(in_out) label_corner = labels[-1, -1, -1] exclude = labels != label_corner in_out &= exclude #in_out = ndimage.binary_opening(in_out, iterations=4) labels, count = ndimage.measurements.label(in_out) label_corner = labels[-1, -1, -1] floor = np.ones((in_out.shape[0], in_out.shape[2]), dtype=np.uint16) * (in_out.shape[1] - in_out_manikin_base.shape[1]) #floor = np.ones((in_out.shape[0], in_out.shape[2]), dtype=np.uint16) * (in_out.shape[1]) for obj_num in range(count + 1): print obj_num, np.sum(labels == obj_num) if obj_num == label_corner: continue print obj_num, np.sum(labels == obj_num) for i in xrange(in_out.shape[0]): print "Slice {} of {}".format(i, in_out.shape[0]) for j in xrange(in_out.shape[1]): for k in xrange(in_out.shape[2]): if labels[i, j, k] == obj_num: if labels[i, j - 1, k] == 0: floor[i, k] = min(floor[i, k], j) full = in_out_manikin_base.shape[1] manikin_heights = [full, full - full // 10, full - full // 4] manikin_heights = [full] print manikin_heights v_min = None v_max = None for config, manikin_height in enumerate(manikin_heights): in_out_manikin = in_out_manikin_base[:, :manikin_height, :] # in_out_manikin = in_out_manikin_base[:, :, :] labels, count = ndimage.measurements.label(in_out_manikin) label_corner = labels[-1, -1, -1] in_out_manikin = labels != label_corner manikin_volume = np.sum(in_out_manikin) manikin_i = in_out_manikin.shape[0] half_i = manikin_i // 2 manikin_j = in_out_manikin.shape[1] manikin_k = in_out_manikin.shape[2] half_k = manikin_k // 2 print in_out.shape print in_out_manikin.shape intersection_checks = 0 results = np.empty((in_out.shape[0] - manikin_i, in_out.shape[2] - manikin_k), dtype=np.float) for i in xrange(in_out.shape[0] - manikin_i): for k in xrange(in_out.shape[2] - manikin_k): results[i, k] = np.sum(in_out_manikin & in_out[i : i + manikin_i, floor[i + half_i, k + half_k] : floor[i + half_i, k + half_k] + manikin_j, k : k + manikin_k]) intersection_checks += 1 print "Intersection checks", intersection_checks # results = results / manikin_volume results = (manikin_volume - results) / manikin_volume if v_min is None: v_min = np.min(results) v_max = np.max(results) plt.subplot(1, len(manikin_heights), config) plt.imshow(results, cmap=cm.copper_r, vmin=v_min, vmax=v_max, norm=None) #plt.subplot(122) #plt.imshow(floor, cmap=cm.copper_r) plt.show() #size_check = 50 # #block_check = np.ones((size_check, size_check, size_check), dtype=np.bool) # # #for i in xrange(in_out.shape[0] - size_check): # for j in xrange(in_out.shape[1] - size_check): # print i, j, np.sum(block_check & in_out[i : i + size_check, # j : j + size_check, # :size_check]) #	[ 1, 9995, 16314, 263, 3367, 574, 7964, 7101, 773, 263, 29871, 29941, 29928, 7223, 6856, 15945, 19451, 13, 5215, 12655, 408, 7442, 30004, 13, 3166, 4560, 2272, 1053, 29871, 299, 3027, 30004, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 30004, 13, 5215, 22889, 29889, 4912, 408, 7477, 30004, 13, 30004, 13, 30004, 13, 1365, 29916, 295, 29918, 2311, 353, 29871, 29900, 29889, 29900, 29945, 30004, 13, 30004, 13, 29937, 303, 29880, 29918, 1445, 353, 376, 29945, 29900, 29918, 11235, 19451, 13, 29937, 303, 29880, 29918, 1445, 353, 376, 29945, 29900, 29886, 29918, 29882, 3322, 29947, 19451, 13, 303, 29880, 29918, 1445, 353, 376, 24623, 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msvc/libpsl-pc.py	kloczek/libpsl	102	148941	# !/usr/env/python # Simple script to generate libpsl.pc from libpsl.pc.in # for Visual Studio builds import sys import argparse from replace import replace_multi from pc_base import BasePCItems def main(argv): parser = argparse.ArgumentParser(description='Setup basic libpsl.pc file info') parser.add_argument('--name', help='Name of package', required=True) parser.add_argument('--url', help='Package Home Page URL', required=True) base_pc = BasePCItems() base_pc.setup(argv, parser) args = parser.parse_args() pc_replace_items = {'@PACKAGE_NAME@': args.name, '@PACKAGE_VERSION@': args.version, '@PACKAGE_URL@': args.url} pc_replace_items.update(base_pc.base_replace_items) # Generate libpsl.pc replace_multi(base_pc.top_srcdir + '/libpsl.pc.in', base_pc.srcdir + '/libpsl.pc', pc_replace_items) return 0 if __name__ == '__main__': sys.exit(main(sys.argv))	[ 1, 396, 1738, 29914, 4855, 29914, 6272, 29914, 4691, 30004, 13, 29937, 12545, 2471, 304, 5706, 4303, 567, 29880, 29889, 6739, 515, 4303, 567, 29880, 29889, 6739, 29889, 262, 30004, 13, 29937, 363, 9249, 7448, 23315, 30004, 13, 30004, 13, 5215, 10876, 30004, 13, 5215, 1852, 5510, 30004, 13, 30004, 13, 3166, 5191, 1053, 5191, 29918, 9910, 30004, 13, 3166, 22844, 29918, 3188, 1053, 7399, 9026, 6913, 30004, 13, 30004, 13, 1753, 1667, 29898, 19218, 1125, 30004, 13, 1678, 13812, 353, 1852, 5510, 29889, 15730, 11726, 29898, 8216, 2433, 26947, 6996, 4303, 567, 29880, 29889, 6739, 934, 5235, 1495, 30004, 13, 1678, 13812, 29889, 1202, 29918, 23516, 877, 489, 978, 742, 1371, 2433, 1170, 310, 3577, 742, 3734, 29922, 5574, 8443, 13, 1678, 13812, 29889, 1202, 29918, 23516, 877, 489, 2271, 742, 1371, 2433, 14459, 8778, 9305, 3988, 742, 3734, 29922, 5574, 8443, 13, 30004, 13, 1678, 2967, 29918, 6739, 353, 7399, 9026, 6913, 26471, 13, 1678, 2967, 29918, 6739, 29889, 14669, 29898, 19218, 29892, 13812, 8443, 13, 1678, 6389, 353, 13812, 29889, 5510, 29918, 5085, 26471, 13, 30004, 13, 1678, 22844, 29918, 6506, 29918, 7076, 353, 11117, 29992, 29925, 11375, 10461, 29918, 5813, 29992, 2396, 6389, 29889, 978, 11167, 13, 462, 4706, 18803, 29925, 11375, 10461, 29918, 16358, 29992, 2396, 6389, 29889, 3259, 11167, 13, 462, 4706, 18803, 29925, 11375, 10461, 29918, 4219, 29992, 2396, 6389, 29889, 2271, 8117, 13, 30004, 13, 1678, 22844, 29918, 6506, 29918, 7076, 29889, 5504, 29898, 3188, 29918, 6739, 29889, 3188, 29918, 6506, 29918, 7076, 8443, 13, 30004, 13, 1678, 396, 3251, 403, 4303, 567, 29880, 29889, 6739, 30004, 13, 1678, 5191, 29918, 9910, 29898, 3188, 29918, 6739, 29889, 3332, 29918, 4351, 3972, 718, 8207, 1982, 567, 29880, 29889, 6739, 29889, 262, 23592, 13, 462, 29871, 2967, 29918, 6739, 29889, 4351, 3972, 718, 8207, 1982, 567, 29880, 29889, 6739, 23592, 13, 462, 29871, 22844, 29918, 6506, 29918, 7076, 8443, 13, 30004, 13, 1678, 736, 29871, 29900, 30004, 13, 30004, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 30004, 13, 1678, 10876, 29889, 13322, 29898, 3396, 29898, 9675, 29889, 19218, 876, 30004, 13, 2 ]
labJS/conf.py	lpomfrey/django-labjs	0	10036	# -- coding: utf-8 -- from __future__ import unicode_literals from appconf import AppConf from django.conf import settings # noqa class LabjsConf(AppConf): ENABLED = not settings.DEBUG DEBUG_TOGGLE = 'labjs'	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 623, 5527, 1053, 2401, 16376, 13, 3166, 9557, 29889, 5527, 1053, 6055, 29871, 396, 694, 25621, 13, 13, 13, 1990, 12016, 1315, 16376, 29898, 2052, 16376, 1125, 13, 13, 1678, 12524, 6181, 29928, 353, 451, 6055, 29889, 18525, 13, 1678, 21681, 29918, 4986, 26788, 1307, 353, 525, 8205, 1315, 29915, 13, 2 ]
eworkshop/utils/models.py	frankfern/eWorkshop-api	0	67489	from django.db import models from django.core.validators import RegexValidator class TimeModel(models.Model): """ Model that can be inherit to obtain fields like create time and modified time""" created = models.DateTimeField( 'created at', auto_now_add=True, help_text='Date time on which object was created') modified = models.DateTimeField( 'modified at ', auto_now=True, help_text='Date time on which object was modified') class Meta(): abstract = True ordering = ['-created', '-modified'] get_latest_by = 'created' class BasicInfoModel(TimeModel): """This model can be inherit in order to obtain basic info """ phone_regex = RegexValidator( regex=r'^\+[1-9]\d{2}\d{3}\d{4}', message='Phone number must be enteredin format: +5399999999. Upto 15 digits allowed.' ) first_name = models.CharField(max_length=15) last_name = models.CharField(max_length=15) phone_number = models.CharField( max_length=17, blank=True, null=True, validators=[phone_regex]) cellphone_number = models.CharField( max_length=17, blank=False, null=True, validators=[phone_regex]) class Meta(): abstract = True class AdvanceInfoModel(BasicInfoModel): """This model is like BasicInfoModel with address and ci fiels """ ci_regex = RegexValidator( regex='\d{11}$', message='Ci must have 11 numbers') address = models.CharField(max_length=30, null=False, blank=False) ci = models.CharField( validators=[ci_regex], unique=True, null=False, blank=False, max_length=11) class Meta(): abstract = True	[ 1, 515, 9557, 29889, 2585, 1053, 4733, 13, 3166, 9557, 29889, 3221, 29889, 3084, 4097, 1053, 25326, 24204, 13, 13, 13, 1990, 5974, 3195, 29898, 9794, 29889, 3195, 1125, 13, 13, 1678, 9995, 8125, 393, 508, 367, 13125, 304, 4017, 4235, 763, 29871, 13, 1678, 1653, 931, 322, 9120, 931, 15945, 29908, 13, 13, 1678, 2825, 353, 4733, 29889, 11384, 3073, 29898, 13, 4706, 525, 11600, 472, 742, 4469, 29918, 3707, 29918, 1202, 29922, 5574, 29892, 1371, 29918, 726, 2433, 2539, 931, 373, 607, 1203, 471, 2825, 1495, 13, 1678, 9120, 353, 4733, 29889, 11384, 3073, 29898, 13, 4706, 525, 1545, 2164, 472, 13420, 13, 4706, 4469, 29918, 3707, 29922, 5574, 29892, 1371, 29918, 726, 2433, 2539, 931, 373, 607, 1203, 471, 9120, 1495, 13, 13, 1678, 770, 20553, 7295, 13, 4706, 9846, 353, 5852, 13, 4706, 20520, 353, 6024, 29899, 11600, 742, 17411, 1545, 2164, 2033, 13, 4706, 679, 29918, 12333, 29918, 1609, 353, 525, 11600, 29915, 13, 13, 13, 1990, 19219, 3401, 3195, 29898, 2481, 3195, 1125, 13, 1678, 9995, 4013, 1904, 508, 367, 13125, 297, 1797, 304, 4017, 29871, 6996, 5235, 9995, 13, 1678, 9008, 29918, 13087, 353, 25326, 24204, 29898, 13, 4706, 6528, 29922, 29878, 29915, 3823, 29974, 29961, 29896, 29899, 29929, 10725, 29881, 29912, 29906, 1012, 29881, 29912, 29941, 1012, 29881, 29912, 29946, 29913, 742, 13, 4706, 2643, 2433, 9861, 1353, 1818, 367, 7802, 262, 3402, 29901, 718, 29945, 29941, 29929, 29929, 29929, 29929, 29929, 29929, 29929, 29929, 29889, 501, 24070, 29871, 29896, 29945, 13340, 6068, 6169, 13, 1678, 1723, 13, 13, 1678, 937, 29918, 978, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29945, 29897, 13, 1678, 1833, 29918, 978, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29896, 29945, 29897, 13, 1678, 9008, 29918, 4537, 353, 4733, 29889, 27890, 29898, 13, 4706, 4236, 29918, 2848, 29922, 29896, 29955, 29892, 9654, 29922, 5574, 29892, 1870, 29922, 5574, 29892, 2854, 4097, 11759, 6710, 29918, 13087, 2314, 13, 1678, 3038, 6710, 29918, 4537, 353, 4733, 29889, 27890, 29898, 13, 4706, 4236, 29918, 2848, 29922, 29896, 29955, 29892, 9654, 29922, 8824, 29892, 1870, 29922, 5574, 29892, 2854, 4097, 11759, 6710, 29918, 13087, 2314, 13, 13, 1678, 770, 20553, 7295, 13, 4706, 9846, 353, 5852, 13, 13, 13, 1990, 25215, 749, 3401, 3195, 29898, 16616, 3401, 3195, 1125, 13, 1678, 9995, 4013, 1904, 338, 763, 19219, 3401, 3195, 411, 3211, 322, 4583, 285, 28119, 9995, 13, 1678, 4583, 29918, 13087, 353, 25326, 24204, 29898, 13, 4706, 6528, 2433, 29905, 29881, 29912, 29896, 29896, 1042, 742, 2643, 2433, 29907, 29875, 1818, 505, 29871, 29896, 29896, 3694, 1495, 13, 13, 1678, 3211, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29941, 29900, 29892, 1870, 29922, 8824, 29892, 9654, 29922, 8824, 29897, 13, 1678, 4583, 353, 4733, 29889, 27890, 29898, 13, 4706, 2854, 4097, 11759, 455, 29918, 13087, 1402, 5412, 29922, 5574, 29892, 1870, 29922, 8824, 29892, 9654, 29922, 8824, 29892, 4236, 29918, 2848, 29922, 29896, 29896, 29897, 13, 13, 1678, 770, 20553, 7295, 13, 4706, 9846, 353, 5852, 13, 2 ]
tests/test_file.py	knc-neural-calculus/exdir	67	92770	<gh_stars>10-100 # -- coding: utf-8 -- # # This file is part of Exdir, the Experimental Directory Structure. # # Copyright 2017 <NAME> # # License: MIT, see "LICENSE" file for the full license terms. # # This file contains code from h5py, a Python interface to the HDF5 library, # licensed under a standard 3-clause BSD license # with copyright <NAME> and contributors. # See http://www.h5py.org and the "3rdparty/h5py-LICENSE" file for details. import pytest import os try: import pathlib except ImportError as e: try: import pathlib2 as pathlib except ImportError: raise e from exdir.core import File, Group from exdir.core.exdir_object import _create_object_directory, is_nonraw_object_directory, DATASET_TYPENAME, FILE_TYPENAME import exdir.core.exdir_object as exob from exdir import validation as fv import numpy as np from conftest import remove def test_file_init(setup_teardown_folder): no_exdir = setup_teardown_folder[0] / "no_exdir" f = File(no_exdir, mode="w") f.close() assert is_nonraw_object_directory(no_exdir.with_suffix(".exdir")) remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode="w") f.close() assert is_nonraw_object_directory(setup_teardown_folder[1]) remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode="a") f.close() assert is_nonraw_object_directory(setup_teardown_folder[1]) remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode="a") f.close() assert is_nonraw_object_directory(setup_teardown_folder[1]) remove(setup_teardown_folder[1]) setup_teardown_folder[1].mkdir(parents=True) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w") remove(setup_teardown_folder[1]) _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(DATASET_TYPENAME)) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w") remove(setup_teardown_folder[1]) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="r") with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="r+") _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(FILE_TYPENAME)) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w") remove(setup_teardown_folder[1]) _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(FILE_TYPENAME)) f = File(setup_teardown_folder[1], mode="w", allow_remove=True) remove(setup_teardown_folder[1]) _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(FILE_TYPENAME)) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w-") with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="x") with pytest.raises(ValueError): f = File(setup_teardown_folder[1], mode="not existing") def test_create(setup_teardown_folder): """Mode 'w' opens file in overwrite mode.""" f = File(setup_teardown_folder[1], 'w') assert isinstance(f, File) f.create_group('foo') f.close() f = File(setup_teardown_folder[1], 'w', allow_remove=True) assert 'foo' not in f f.close() with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], 'w') def test_create_exclusive(setup_teardown_folder): """Mode 'w-' opens file in exclusive mode.""" f = File(setup_teardown_folder[1], 'w-') assert isinstance(f, File) f.close() with pytest.raises(RuntimeError): File(setup_teardown_folder[1], 'w-') def test_append(setup_teardown_folder): """Mode 'a' opens file in append/readwrite mode, creating if necessary.""" f = File(setup_teardown_folder[1], 'a') assert isinstance(f, File) f.create_group('foo') assert 'foo' in f f = File(setup_teardown_folder[1], 'a') assert 'foo' in f f.create_group('bar') assert 'bar' in f def test_readonly(setup_teardown_folder): """Mode 'r' opens file in readonly mode.""" f = File(setup_teardown_folder[1], 'w') f.close() assert not f f = File(setup_teardown_folder[1], 'r') assert isinstance(f, File) with pytest.raises(IOError): f.create_group('foo') f.create_dataset("bar", (2)) f.close() def test_readwrite(setup_teardown_folder): """Mode 'r+' opens existing file in readwrite mode.""" f = File(setup_teardown_folder[1], 'w') f.create_group('foo') f.close() f = File(setup_teardown_folder[1], 'r+') assert 'foo' in f f.create_group('bar') assert 'bar' in f f.close() def test_nonexistent_file(setup_teardown_folder): """Modes 'r' and 'r+' do not create files.""" with pytest.raises(RuntimeError): File(setup_teardown_folder[1], 'r') with pytest.raises(RuntimeError): File(setup_teardown_folder[1], 'r+') def test_invalid_mode(setup_teardown_folder): """Invalid modes raise ValueError.""" with pytest.raises(ValueError): File(setup_teardown_folder[1], 'Error mode') def test_file_close(setup_teardown_folder): """Closing a file.""" f = File(setup_teardown_folder[1], mode="w") f.close() def test_validate_name_thorough(setup_teardown_folder): """Test naming rule thorough.""" f = File(setup_teardown_folder[0] / "test.exdir", name_validation=fv.thorough) f.close() with pytest.raises(RuntimeError): File(setup_teardown_folder[0] / "Test.exdir", name_validation=fv.thorough) with pytest.raises(NameError): File(setup_teardown_folder[0] / "tes#.exdir", name_validation=fv.thorough) def test_validate_name_strict(setup_teardown_folder): """Test naming rule strict.""" f = File(setup_teardown_folder[1], name_validation=fv.strict) f.close() with pytest.raises(NameError): File(setup_teardown_folder[1].with_suffix(".exdirA"), name_validation=fv.strict) def test_validate_name_error(setup_teardown_folder): """Test naming rule with error.""" with pytest.raises(ValueError): File(setup_teardown_folder[1], name_validation='Error rule') def test_validate_name_none(setup_teardown_folder): """Test naming rule with error.""" File(setup_teardown_folder[1].with_name("test&().exdir"), name_validation=fv.none) def test_opening_with_different_validate_name(setup_teardown_folder): """Test opening with wrong naming rule.""" f = File(setup_teardown_folder[1], "w", name_validation=fv.none) f.create_group("AAA") f.close() # TODO changing name validation should result in warning/error f = File(setup_teardown_folder[1], "a", name_validation=fv.thorough) with pytest.raises(RuntimeError): f.create_group("aaa") f.close() def test_contains(setup_teardown_file): """Root group (by itself) is contained.""" f = setup_teardown_file[3] f.create_group("test") assert "/" in f assert "/test" in f def test_create_group(setup_teardown_file): """Root group (by itself) is contained.""" f = setup_teardown_file[3] grp = f.create_group("/test") assert isinstance(grp, Group) def test_require_group(setup_teardown_file): """Root group (by itself) is contained.""" f = setup_teardown_file[3] grp = f.require_group("/foo") assert isinstance(grp, Group) def test_open(setup_teardown_file): """thorough obj[name] opening.""" f = setup_teardown_file[3] grp = f.create_group("foo") grp2 = f["foo"] grp3 = f["/foo"] f = f["/"] assert grp == grp2 assert grp2 == grp3 assert f == f def test_open_mode(setup_teardown_folder): # must exist for mode in ["r+", "r"]: with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode) # create if not exist for mode in ["a", "w", "w-"]: remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode) f.require_dataset('dset', np.arange(10)) f.attrs['can_overwrite'] = 42 f.attrs['can_overwrite'] = 14 f.require_group('mygroup') remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], 'w') f.close() # dummy close # read write if exist f = File(setup_teardown_folder[1], "r+") f.require_group('mygroup') f.require_dataset('dset', np.arange(10)) f.attrs['can_overwrite'] = 42 f.attrs['can_overwrite'] = 14 # read only, can not write f = File(setup_teardown_folder[1], 'r') with pytest.raises(IOError): f.require_dataset('dset', np.arange(10)) f.attrs['can_not_write'] = 42 f.create_group('mygroup') def test_open_two_attrs(setup_teardown_file): f = setup_teardown_file[3] f.attrs['can_overwrite'] = 42 f.attrs['another_atribute'] = 14 def test_exc(setup_teardown_file): """'in' on closed group returns False.""" f = setup_teardown_file[3] f.create_group("a") f.close() assert not f assert "a" not in f def test_close_group(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] grp = f.create_group("group") f.close() assert not f assert "group" not in f assert 'dataset' not in f # unable to create new stuff match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.create_group("group") with pytest.raises(IOError, match=match): grp.create_group("group") with pytest.raises(IOError, match=match): grp.attrs = {'group': 'attrs'} def test_close_attrs(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] grp = f.create_group("group") dset = f.create_dataset('dataset', data=np.array([1,2,3])) raw = f.create_raw('raw') f.attrs = {'file': 'attrs'} file_attrs = f.attrs f.close() match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.attrs = {'file': 'attrs'} with pytest.raises(IOError, match=match): file_attrs['new'] = 'yo' # unable to retrieve stuff with pytest.raises(IOError, match=match): file_attrs['file'] with pytest.raises(IOError, match=match): f.attrs assert 'file' not in file_attrs def test_close_raw(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] raw = f.create_raw('raw') f.close() assert "raw" not in f # unable to create new stuff match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.create_raw('raw') # unable to retrieve with pytest.raises(IOError, match=match): f['raw'] def test_close_dataset(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] grp = f.create_group("group") dset = f.create_dataset('dataset', data=np.array([1,2,3])) dset.attrs = {'dataset': 'attrs'} dset_attrs = dset.attrs data = dset.data f.close() assert 'dataset' not in f # unable to create new stuff match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.create_dataset('dataset', data=np.array([1,2,3])) with pytest.raises(IOError, match=match): grp.create_dataset('dataset', data=np.array([1,2,3])) with pytest.raises(IOError, match=match): dset.attrs = {'dataset': 'attrs'} with pytest.raises(IOError, match=match): dset_attrs['new'] = 'yo' # unable to retrieve stuff with pytest.raises(IOError, match=match): dset.data with pytest.raises(IOError, match=match): dset.shape with pytest.raises(IOError, match=match): dset.dtype with pytest.raises(IOError, match=match): dset.attrs assert 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codegen.py	EXXETA/k8s-python-tools	1	35383	# # Copyright (c) 2019 EXXETA AG and others. # # This file is part of k8s-python-tools # (see https://github.com/EXXETA/k8s-python-tools). # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # import os import re from jinja2 import Environment, FileSystemLoader """load self-defined generated_library.yml and use this information to generate api methods. using jinja2 templating engine to generate python files """ __location__ = os.path.join(os.getcwd(), os.path.dirname(__file__)) try: from yaml import CLoader as Loader, CDumper as Dumper, load except ImportError: from yaml import Loader, Dumper text_io = open(os.path.join(__location__, 'generated_library.yml'), 'r') data = load(text_io, Loader=Loader) text_io.close() env = Environment( loader=FileSystemLoader(os.path.join(__location__, "templates")), # autoescape=select_autoescape(['html']) ) def camelcase_to_snake_case(name): s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() env.filters['normalize'] = camelcase_to_snake_case # generating api methods for i in data["lib_def"]: file_name = data["lib_def"][i]["file"] template_name = data["lib_def"][i]["template"] entries = data["lib_def"][i]["entries"] print("generated", "./lib/" + file_name) template = env.get_template(template_name) rendered = template.render(entries=entries) f = open(os.path.join(__location__, "./lib/" + file_name), "w") f.write(rendered) f.close() # generating api actions for i in data["actions"]: base_path = data["actions"][i]["destination"] template_name = data["actions"][i]["template"] entries = data["actions"][i]["entries"] print("auto-generated", len(entries), "actions in destination", base_path) template = env.get_template(template_name) for item in entries: rendered = template.render(item=item) f = open(os.path.join(__location__, "./lib/" + base_path + "/" + camelcase_to_snake_case(item["name"]) + ".py"), "w") f.write(rendered) f.close() print("OK")	[ 1, 396, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29929, 382, 6247, 2544, 29909, 16369, 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gw_bot/api/commands/OSS_Bot_Commands.py	filetrust/GW-Bot	1	171506	from osbot_aws.apis.Lambda import Lambda from gw_bot.api.Slack_Commands_Helper import Slack_Commands_Helper from gw_bot.api.commands.Maps_Commands import Maps_Commands from osbot_utils.utils import Misc def use_command_class(slack_event, params, target_class): channel = Misc.get_value(slack_event, 'channel') user = Misc.get_value(slack_event, 'user') text,attachments = Slack_Commands_Helper(target_class).invoke(team_id=user, channel=channel, params=params) if channel: return None,None return text,attachments class OSS_Bot_Commands: # move to separate class gsbot_version = 'v0.40 (GW Bot)' @staticmethod def aws(slack_event=None, params=None): Lambda('gw_bot.lambdas.aws.commands').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def browser(slack_event=None, params=None): Lambda('osbot_browser.lambdas.lambda_browser').invoke_async({'params':params, 'data':slack_event}),[] return None,None @staticmethod def docs(slack_event=None, params=None): Lambda('osbot_gsuite.lambdas.gdocs').invoke_async({'params': params, 'data': slack_event}), [] return None, None # @staticmethod # def dev(slack_event=None, params=None): # return use_command_class(slack_event, params, Dev_Commands) @staticmethod def gw(slack_event=None, params=None): #return use_command_class(slack_event, params, GW_Commands) Lambda('gw_bot.lambdas.gw.commands').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def graph(slack_event, params=None): Lambda('osbot_jira.lambdas.graph').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def jira(slack_event, params=None): Lambda('osbot_jira.lambdas.jira').invoke_async({"params" : params, "user": slack_event.get('user'), "channel": slack_event.get('channel'), 'team_id': slack_event.get('team_id')}, ) return None, None @staticmethod def jp(slack_event=None, params=None): return OSS_Bot_Commands.jupyter(slack_event,params) @staticmethod def jupyter(slack_event=None, params=None): Lambda('osbot_jupyter.lambdas.osbot').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def hello(slack_event=None, params=None): user = Misc.get_value(slack_event, 'user') return 'Hello <@{0}>, how can I help you?'.format(user), [] @staticmethod def help(params): commands = [func for func in dir(OSS_Bot_Commands) if callable(getattr(OSS_Bot_Commands, func)) and not func.startswith("__")] title = "Here are the commands available" attachment_text = "" for command in commands: if command is not 'bad_cmd': attachment_text += " • {0}\n".format(command) return title,[{'text': attachment_text, 'color': 'good'}] @staticmethod def screenshot(slack_event=None, params=None): params.insert(0,'screenshot') Lambda('osbot_browser.lambdas.lambda_browser').invoke_async({'params': params, 'data': slack_event}), [] return None, None # @staticmethod # def site(slack_event=None, params=None): # return use_command_class(slack_event, params, Site_Commands) @staticmethod def store(slack_event=None, params=None): Lambda('gw_bot.lambdas.gw.store.commands').invoke_async({'params': params, 'data': slack_event}), [] return None, None # @staticmethod # def faq(slack_event=None, params=None): # return use_command_class(slack_event, params, FAQ_Commands) @staticmethod def maps(slack_event=None, params=None): return use_command_class(slack_event, params, Maps_Commands) # @staticmethod # def participant(slack_event=None, params=None): # return use_command_class(slack_event,params,Participant_Commands) # # @staticmethod # def schedule(slack_event=None, params=None): # return use_command_class(slack_event, params, Schedule_Commands) # # @staticmethod # def sessions(slack_event=None, params=None): # return use_command_class(slack_event, params, Sessions_Commands) @staticmethod def version(params): return OSS_Bot_Commands.gsbot_version,[]	[ 1, 515, 2897, 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main/migrations/0006_auto_20201231_0458.py	AyushHazard/Samskritam	0	102137	<gh_stars>0 # Generated by Django 3.1.4 on 2020-12-31 04:58 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0005_auto_20201230_1633'), ] operations = [ migrations.AlterField( model_name='competition', name='end_time', field=models.DateTimeField(null=True), ), migrations.AlterField( model_name='competition', name='start_time', field=models.DateTimeField(null=True), ), ]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 3251, 630, 491, 15337, 29871, 29941, 29889, 29896, 29889, 29946, 373, 29871, 29906, 29900, 29906, 29900, 29899, 29896, 29906, 29899, 29941, 29896, 29871, 29900, 29946, 29901, 29945, 29947, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 3396, 742, 525, 29900, 29900, 29900, 29945, 29918, 6921, 29918, 29906, 29900, 29906, 29900, 29896, 29906, 29941, 29900, 29918, 29896, 29953, 29941, 29941, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 2388, 300, 654, 742, 13, 9651, 1024, 2433, 355, 29918, 2230, 742, 13, 9651, 1746, 29922, 9794, 29889, 11384, 3073, 29898, 4304, 29922, 5574, 511, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 2388, 300, 654, 742, 13, 9651, 1024, 2433, 2962, 29918, 2230, 742, 13, 9651, 1746, 29922, 9794, 29889, 11384, 3073, 29898, 4304, 29922, 5574, 511, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
neutron/objects/local_ip.py	congnt95/neutron	1,080	1607081	<reponame>congnt95/neutron # Copyright 2021 Huawei, Inc. # All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import netaddr from neutron_lib.objects import common_types from oslo_versionedobjects import fields as obj_fields from neutron.db.models import local_ip as lip_db from neutron.objects import base @base.NeutronObjectRegistry.register class LocalIP(base.NeutronDbObject): # Version 1.0: Initial version VERSION = '1.0' db_model = lip_db.LocalIP fields = { 'id': common_types.UUIDField(), 'name': obj_fields.StringField(nullable=True), 'description': obj_fields.StringField(nullable=True), 'project_id': obj_fields.StringField(nullable=True), 'local_port_id': common_types.UUIDField(), 'network_id': common_types.UUIDField(), 'local_ip_address': obj_fields.IPAddressField(), 'ip_mode': obj_fields.StringField(), } foreign_keys = {'Port': {'local_port_id': 'id'}, 'LocalIPAssociation': {'id': 'local_ip_id'}} fields_no_update = ['project_id', 'local_ip_address', 'network_id', 'local_port_id'] synthetic_fields = [] @classmethod def modify_fields_to_db(cls, fields): result = super(LocalIP, cls).modify_fields_to_db(fields) if 'local_ip_address' in result: result['local_ip_address'] = cls.filter_to_str( result['local_ip_address']) return result @classmethod def modify_fields_from_db(cls, db_obj): fields = super(LocalIP, cls).modify_fields_from_db(db_obj) if 'local_ip_address' in fields: fields['local_ip_address'] = netaddr.IPAddress( fields['local_ip_address']) return fields @base.NeutronObjectRegistry.register class LocalIPAssociation(base.NeutronDbObject): # Version 1.0: Initial version VERSION = '1.0' db_model = lip_db.LocalIPAssociation fields = { 'id': obj_fields.StringField(), 'local_ip_id': common_types.UUIDField(nullable=False), 'fixed_port_id': common_types.UUIDField(nullable=False), 'fixed_ip': obj_fields.IPAddressField(nullable=False), 'local_ip': obj_fields.ObjectField('LocalIP'), } primary_keys = ['local_ip_id', 'fixed_port_id'] foreign_keys = {'LocalIP': {'local_ip_id': 'id'}, 'Port': {'fixed_port_id': 'id'}} fields_no_update = ['local_ip_id', 'fixed_port_id', 'fixed_ip'] synthetic_fields = ['id', 'local_ip'] @classmethod def modify_fields_to_db(cls, fields): result = super(LocalIPAssociation, cls).modify_fields_to_db(fields) if 'fixed_ip' in result: result['fixed_ip'] = cls.filter_to_str(result['fixed_ip']) return result @classmethod def modify_fields_from_db(cls, db_obj): fields = super(LocalIPAssociation, cls).modify_fields_from_db(db_obj) if 'fixed_ip' in fields: fields['fixed_ip'] = netaddr.IPAddress(fields['fixed_ip']) return fields def obj_load_attr(self, attrname): if attrname in ['id']: self._set_id() super(LocalIPAssociation, self).obj_load_attr(attrname) def from_db_object(self, db_obj): super(LocalIPAssociation, self).from_db_object(db_obj) self._set_id() def _set_id(self): self.id = self.local_ip_id + '_' + self.fixed_port_id self.obj_reset_changes(['id'])	[ 1, 529, 276, 1112, 420, 29958, 21015, 593, 29929, 29945, 29914, 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pygimli/core/math.py	JuliusHen/gimli	0	114553	# -- coding: utf-8 -- """Collection of mathematical functions.""" import numpy as np from .core import (angle, besselI0, besselI1, besselK0, besselK1, cos, cot, det, dot, exp, exp10, imag, log, log10, max, median, min, pow, rand, randn, real, rms, round, rrms, sign, sin, sqrt, sum, toComplex, unique) def symlog(x, tol=None, linearSpread=0): """Symmetric bi-logarithmic transformation (as used in matplotlib). Transforms a signed values in a logarithmic way preserving the sign. All absolute values below a certain threshold are treated zero or linearly distributed (if linearSpread>0). Parameters ---------- x : iterable array to be transformed tol : float [None] tolerance for minimum values to be treated zero (or linear) linearSpread : float define how wide linear transformation is done (0-not, 1-one decade) """ if tol is None: tol = np.min(np.abs(x)) return np.sign(x) * (np.log10(1 + np.abs(x/tol))+linearSpread/2)	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 7196, 310, 19475, 3168, 1213, 15945, 13, 13, 5215, 12655, 408, 7442, 13, 3166, 869, 3221, 1053, 313, 2521, 29892, 289, 25583, 29902, 29900, 29892, 289, 25583, 29902, 29896, 29892, 289, 25583, 29968, 29900, 29892, 289, 25583, 29968, 29896, 29892, 6776, 29892, 13, 462, 259, 20118, 29892, 1439, 29892, 8329, 29892, 1518, 29892, 1518, 29896, 29900, 29892, 6382, 29892, 1480, 29892, 1480, 29896, 29900, 29892, 4236, 29892, 19194, 29892, 13, 462, 259, 1375, 29892, 4764, 29892, 20088, 29892, 20088, 29876, 29892, 1855, 29892, 364, 1516, 29892, 4513, 29892, 364, 29878, 1516, 29892, 1804, 29892, 13, 462, 259, 4457, 29892, 18074, 2273, 29892, 2533, 29892, 304, 8909, 29916, 29892, 5412, 29897, 13, 13, 13, 1753, 5016, 1188, 29898, 29916, 29892, 304, 29880, 29922, 8516, 29892, 5608, 5592, 949, 29922, 29900, 1125, 13, 1678, 9995, 25548, 16414, 4768, 29899, 1188, 23830, 13076, 13852, 313, 294, 1304, 297, 22889, 467, 13, 13, 1678, 4103, 9514, 263, 8794, 1819, 297, 263, 1480, 23830, 13076, 982, 2225, 29530, 278, 1804, 29889, 13, 1678, 2178, 8380, 1819, 2400, 263, 3058, 16897, 526, 14914, 5225, 470, 5608, 368, 13, 1678, 13235, 313, 361, 5608, 5592, 949, 29958, 29900, 467, 13, 13, 1678, 12662, 2699, 13, 1678, 448, 1378, 29899, 13, 1678, 921, 584, 4256, 519, 13, 4706, 1409, 304, 367, 27615, 13, 1678, 304, 29880, 584, 5785, 518, 8516, 29962, 13, 4706, 20341, 749, 363, 9212, 1819, 304, 367, 14914, 5225, 313, 272, 5608, 29897, 13, 1678, 5608, 5592, 949, 584, 5785, 13, 4706, 4529, 920, 9377, 5608, 13852, 338, 2309, 313, 29900, 29899, 1333, 29892, 29871, 29896, 29899, 650, 316, 6332, 29897, 13, 1678, 9995, 13, 1678, 565, 304, 29880, 338, 6213, 29901, 13, 4706, 304, 29880, 353, 7442, 29889, 1195, 29898, 9302, 29889, 6897, 29898, 29916, 876, 13, 13, 1678, 736, 7442, 29889, 4530, 29898, 29916, 29897, 334, 313, 9302, 29889, 1188, 29896, 29900, 29898, 29896, 718, 7442, 29889, 6897, 29898, 29916, 29914, 25027, 876, 29974, 10660, 5592, 949, 29914, 29906, 29897, 13, 2 ]
{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}.py	farooq-teqniqly/cookiecutter-databricks-notebook	0	108792	""" The Notebook module. """ class Notebook: """ This notebook does... """ def run(self): """ Your notebook code goes here. """ notebook = Notebook() notebook.run()	[ 1, 9995, 13, 1576, 2216, 19273, 3883, 29889, 13, 15945, 29908, 13, 13, 13, 1990, 2216, 19273, 29901, 13, 1678, 9995, 13, 1678, 910, 451, 19273, 947, 856, 13, 1678, 9995, 13, 1678, 822, 1065, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 3575, 451, 19273, 775, 5771, 1244, 29889, 13, 4706, 9995, 13, 13, 13, 1333, 19273, 353, 2216, 19273, 580, 13, 1333, 19273, 29889, 3389, 580, 13, 2 ]
critters/views.py	cfletcher1856/acnhcritters	0	88751	<gh_stars>0 from django.shortcuts import render from django.http import HttpResponse from django.core import serializers from .models import Fish, Bug from annoying.decorators import render_to @render_to('index.html') def index(request): return {} @render_to('critters.html') def bugs(request): bugs = Bug.objects.all() bugs_json = serializers.serialize("json", bugs) return { 'critters_json': bugs_json, 'critter_type': 'Bugs', } @render_to('critters.html') def fishes(request): fishes = Fish.objects.all() fishes_json = serializers.serialize("json", fishes) return { 'critters_json': fishes_json, 'critter_type': 'Fishes', } @render_to('bug.html') def bug(request, entity_id): bug = Bug.objects.get(entity_id=entity_id) return { 'bug': bug } @render_to('fish.html') def fish(request, entity_id): return {}	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 29889, 12759, 7582, 29879, 1053, 4050, 13, 3166, 9557, 29889, 1124, 1053, 9056, 5103, 13, 3166, 9557, 29889, 3221, 1053, 7797, 19427, 13, 3166, 869, 9794, 1053, 12030, 29892, 28209, 13, 13, 3166, 12327, 5414, 29889, 19557, 4097, 1053, 4050, 29918, 517, 13, 13, 29992, 9482, 29918, 517, 877, 2248, 29889, 1420, 1495, 13, 1753, 2380, 29898, 3827, 1125, 13, 1678, 736, 6571, 13, 13, 29992, 9482, 29918, 517, 877, 9695, 2153, 29889, 1420, 1495, 13, 1753, 24557, 29898, 3827, 1125, 13, 1678, 24557, 353, 28209, 29889, 12650, 29889, 497, 580, 13, 1678, 24557, 29918, 3126, 353, 7797, 19427, 29889, 643, 6646, 703, 3126, 613, 24557, 29897, 13, 1678, 736, 426, 13, 4706, 525, 9695, 2153, 29918, 3126, 2396, 24557, 29918, 3126, 29892, 13, 4706, 525, 9695, 357, 29918, 1853, 2396, 525, 29933, 16926, 742, 13, 1678, 500, 13, 13, 29992, 9482, 29918, 517, 877, 9695, 2153, 29889, 1420, 1495, 13, 1753, 9427, 267, 29898, 3827, 1125, 13, 1678, 9427, 267, 353, 12030, 29889, 12650, 29889, 497, 580, 13, 1678, 9427, 267, 29918, 3126, 353, 7797, 19427, 29889, 643, 6646, 703, 3126, 613, 9427, 267, 29897, 13, 13, 1678, 736, 426, 13, 4706, 525, 9695, 2153, 29918, 3126, 2396, 9427, 267, 29918, 3126, 29892, 13, 4706, 525, 9695, 357, 29918, 1853, 2396, 525, 29943, 17006, 742, 13, 1678, 500, 13, 13, 29992, 9482, 29918, 517, 877, 6152, 29889, 1420, 1495, 13, 1753, 6494, 29898, 3827, 29892, 7855, 29918, 333, 1125, 13, 1678, 6494, 353, 28209, 29889, 12650, 29889, 657, 29898, 10041, 29918, 333, 29922, 10041, 29918, 333, 29897, 13, 1678, 736, 426, 13, 4706, 525, 6152, 2396, 6494, 13, 1678, 500, 13, 13, 29992, 9482, 29918, 517, 877, 15161, 29889, 1420, 1495, 13, 1753, 9427, 29898, 3827, 29892, 7855, 29918, 333, 1125, 13, 1678, 736, 6571, 13, 2 ]
wafextras/lyx2tex.py	tjhunter/phd-thesis-tjhunter	1	32764	""" Converts some lyx files to the latex format. Note: everything in the file is thrown away until a section or the workd "stopskip" is found. This way, all the preamble added by lyx is removed. """ from waflib import Logs from waflib import TaskGen,Task from waflib import Utils from waflib.Configure import conf def postprocess_lyx(src, tgt): Logs.debug("post-processing %s into %s" % (src,tgt)) f_src = open(src,'r') f_tgt = open(tgt,'w') toks = ['\\documentclass','\\usepackage','\\begin{document}','\\end{document}','\\geometry','\\PassOptionsToPackage'] keep = False for l in f_src: this_keep = ("stopskip" in l) or ("\\section" in l) or ("\\chapter" in l) if this_keep: print "start to keep" keep = keep or this_keep local_skip = False for tok in toks: local_skip = local_skip or l.startswith(tok) local_keep = False if local_skip else keep if local_keep: f_tgt.write(l) f_src.close() f_tgt.close() return 0 def process_lyx(task): input0 = task.inputs[0] src = input0.abspath() input1 = input0.change_ext("_tmp.lyx") output0 =task.outputs[0] tgt = output0.abspath() print "processing lyx file %s" % src t = task.exec_command("cp %s %s" % (input0.abspath(), input1.abspath())) if t != 0: return t t = task.exec_command("%s --export pdflatex %s" % (task.env.LYX, input1.abspath())) if t != 0: return t t = postprocess_lyx(input1.change_ext(".tex").abspath(),output0.abspath()) return t class PostprocessLyx(Task.Task): def run(self): #Logs.debug("in post process") return postprocess_lyx(self.inputs[0].abspath(),self.outputs[0].abspath()) @conf def lyx2tex(bld, lyx_file): lyx_files = Utils.to_list(lyx_file) for a in lyx_files: b = a.change_ext("_tmp.lyx") c = a.change_ext("_tmp.tex") d = a.change_ext(".tex") bld(rule="cp ${SRC} ${TGT}",source=a,target=b) tsk0 = bld(rule="${LYX} --export pdflatex ${SRC}",source=b,target=c) tsk = tsk0.create_task("PostprocessLyx") tsk.set_inputs(c) tsk.set_outputs(d) def configure(conf): conf.find_program('lyx',var='LYX')	[ 1, 9995, 1281, 369, 1372, 777, 21261, 29916, 2066, 304, 278, 5683, 29916, 3402, 29889, 13, 13, 9842, 29901, 4129, 297, 278, 934, 338, 12005, 3448, 2745, 263, 4004, 470, 278, 664, 29881, 376, 9847, 11014, 29908, 338, 1476, 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main.py	mehmet-karagoz/RPG-Battle-Game	1	71953	import pygame import random import button from pygame import mixer pygame.init() clock = pygame.time.Clock() fps = 60 #game window screen_width = 800 screen_height = 400 #game variables current_fighter = 1 total_fighter = 2 action_cooldown = 0 action_wait_time = 90 attack = False potion = False potion_effect = 30 clicked = False game_over = 0 victory_sound = 0 defeat_sound = 0 #fonts font = pygame.font.SysFont("Times New Roman", 26) font_potion = pygame.font.SysFont("Times New Roman", 15) #colors red = (255, 0, 0) green = (0, 255, 0) screen = pygame.display.set_mode((screen_width, screen_height)) pygame.display.set_caption("RPG Battle") icon = pygame.image.load("img/Icons/rpg-game.png").convert_alpha() pygame.display.set_icon(icon) #sound effect mixer.music.load("sounds/Battle.mp3") mixer.music.play(-1) #load images #background image background_img = pygame.image.load("img/Background/background.png").convert_alpha() potion_img = pygame.image.load("img/Potions/h0.png").convert_alpha() sword_img = pygame.image.load("img/Icons/sword.png").convert_alpha() victory_img = pygame.image.load("img/Icons/victory.png").convert_alpha() defeat_img = pygame.image.load("img/Icons/defeat.png").convert_alpha() restart_img = pygame.image.load("img/Icons/restart.png").convert_alpha() # functions #draw text def draw(text, font, text_color, x ,y): img = font.render(text, True, text_color) screen.blit(img,( x, y)) #draw background def draw_background(): screen.blit(background_img, (0,0)) #classes class Fighter(): def __init__(self, x, y, name , max_hp, strength, potions): self.x = x self.y = y self.name = name self.max_hp = max_hp self.hp = max_hp self.strength = strength self.start_potions = potions self.potions = potions self.alive = True self.animation_list = [] self.frame_index = 0 self.action = 0 self.update_time = pygame.time.get_ticks() #Idle if self.name == "Priestess": range_num = 8 else: range_num = 4 temp_list = [] for i in range(range_num): img = pygame.image.load(f"img/{self.name}/Idle/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Attack temp_list = [] for i in range(7): img = pygame.image.load(f"img/{self.name}/Attack/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Hurt temp_list = [] if self.name == "Priestess": range_num = 7 else: range_num = 2 for i in range(range_num): img = pygame.image.load(f"img/{self.name}/Hurt/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Death temp_list = [] if self.name == "Priestess": range_num = 16 else: range_num = 8 for i in range(range_num): img = pygame.image.load(f"img/{self.name}/Death/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Heal temp_list = [] for i in range(12): img = pygame.image.load(f"img/Priestess/Heal/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Walk temp_list = [] for i in range(8): img = pygame.image.load(f"img/Priestess/Walk/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) self.image = self.animation_list[self.action][self.frame_index] self.rect = self.image.get_rect() self.rect.center = (x, y) def update(self): animation_cooldown = 100 self.image = self.animation_list[self.action][self.frame_index] if pygame.time.get_ticks() - self.update_time > animation_cooldown: self.update_time = pygame.time.get_ticks() self.frame_index += 1 if self.frame_index >= len(self.animation_list[self.action]): if self.action == 3: self.frame_index = len(self.animation_list[self.action])-1 else: self.idle() def idle(self): self.action = 0 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def attack(self, target): distance = abs(self.rect.centerx - target.rect.centerx) if target.name == "Priestess": distance += 45 if distance <= 179: rand = random.randint(-5, 5) damage = self.strength + rand target.hp -= damage target.hurt() mixer.Sound("sounds/bandit_hurt.mp3").play() if target.hp <= 0: target.alive = False target.death() mixer.Sound("sounds/bandit_death.mp3").play() #animate damage_text = Damage_Text(target.rect.centerx, target.rect.centery,str(damage), red) damage_text_group.add(damage_text) self.action = 1 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def hurt(self): self.action = 2 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def heal(self): self.action = 4 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def walk(self): self.action = 5 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def death(self): self.action = 3 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def reset(self): self.alive = True self.potions = self.start_potions self.frame_index = 0 self.action = 0 self.hp = self.max_hp self.update_time = pygame.time.get_ticks() self.rect.centerx = self.x self.rect.centery = self.y def draw(self): screen.blit(self.image, self.rect) class HealthBar(): def __init__(self, x, y, hp, max_hp): self.x = x self.y = y self.hp = hp self.max_hp = max_hp img = pygame.image.load("img/Icons/health_bar.png") self.image = pygame.transform.scale(img, (img.get_width() * 4, img.get_height() * 2)) self.rect = self.image.get_rect() self.rect.center = (x, y) def draw(self, hp): self.hp = hp ratio = self.hp / self.max_hp screen.blit(self.image, self.rect) pygame.draw.rect(screen, red, (self.x - 126, self.y - 5, 258 * ratio, 11)) class Damage_Text(pygame.sprite.Sprite): def __init__(self, x , y, damage , color): pygame.sprite.Sprite.__init__(self) self.image = font.render(damage, True, color) self.rect = self.image.get_rect() self.rect.center = (x, y) self.counter = 0 def update(self): self.rect.y -= 1 self.counter += 1 if self.counter > 30: self.kill() damage_text_group = pygame.sprite.Group() priestess = Fighter(220, 130, "Priestess", 80, 30, 3) bandit = Fighter(540, 230, "Bandit", 80, 25, 2) priestess_health_bar = HealthBar(200, 30, priestess.hp, priestess.max_hp) bandit_health_bar = HealthBar(600, 30, bandit.hp, bandit.max_hp) potion_button = button.Button(screen, 30, 300, potion_img, 32,32) restart_button = button.Button(screen, 280, 300, restart_img, 220,60) run = True priestess_x_change = 0 while run: clock.tick(fps) draw_background() # draw fighters priestess.update() priestess.draw() bandit.update() bandit.draw() damage_text_group.update() damage_text_group.draw(screen) #fighter stats priestess_health_bar.draw(priestess.hp) bandit_health_bar.draw(bandit.hp) #control actions attack = False potion = False position = pygame.mouse.get_pos() pygame.mouse.set_visible(True) if bandit.rect.collidepoint(position): pygame.mouse.set_visible(False) screen.blit(sword_img, position) if clicked and bandit.alive: attack = True if potion_button.draw(): potion = True draw(str(priestess.potions), font_potion, green, 63, 313) if game_over == 0: #attack if priestess.alive: if current_fighter == 1: action_cooldown += 1 if action_cooldown >= action_wait_time: if attack: priestess.attack(bandit) mixer.Sound("sounds/priestess_attack.mp3").play() current_fighter += 1 action_cooldown = 0 if potion: if priestess.potions > 0: if priestess.max_hp - priestess.hp > potion_effect: heal_amount = potion_effect else: heal_amount = priestess.max_hp - priestess.hp priestess.hp += heal_amount priestess.heal() heal_text = Damage_Text(priestess.rect.centerx, priestess.rect.centery,str(heal_amount), green) damage_text_group.add(heal_text) priestess.potions -= 1 current_fighter += 1 action_cooldown = 0 else: game_over = -1 if bandit.alive: if current_fighter == 2: action_cooldown += 1 if action_cooldown >= action_wait_time: bandit.attack(priestess) mixer.Sound("sounds/bandit_attack.wav").play() current_fighter += 1 action_cooldown = 0 else: current_fighter += 1 game_over = 1 if current_fighter > total_fighter: current_fighter = 1 if game_over != 0: if game_over == 1: screen.blit(victory_img, (125, 50)) victory_sound += 1 if victory_sound == 1: mixer.Sound("sounds/victory.wav").play() else: screen.blit(defeat_img, (186, 40)) defeat_sound += 1 if defeat_sound == 1: mixer.Sound("sounds/defeat.mp3").play() if restart_button.draw(): priestess.reset() bandit.reset() current_fighter = 1 action_cooldown = 0 game_over = 0 victory_sound = 0 defeat_sound = 0 priestess.rect.centerx += priestess_x_change if priestess.rect.centerx <= 85: priestess.rect.centerx = 85 elif priestess.rect.centerx >= 478: priestess.rect.centerx = 478 for event in pygame.event.get(): if event.type == 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functions/aurora_check_status.py	aws-samples/aws-stepfunctions-aurora-clone	7	14346	import boto3 client = boto3.client('rds') def lambda_handler(event, context): target_db_cluster_identifier=event['TargetDBClusterIdentifier'] payload = event.copy() try: response = client.describe_db_clusters(DBClusterIdentifier=target_db_cluster_identifier) payload['status'] = response['DBClusters'][0]['Status'] return payload except client.exceptions.DBClusterNotFoundFault as e: print(e) payload['status'] = 'not-found' payload['message'] = 'There is no cluster to remove...' return payload	[ 1, 1053, 289, 3747, 29941, 13, 13, 4645, 353, 289, 3747, 29941, 29889, 4645, 877, 5499, 29879, 1495, 13, 13, 1753, 14013, 29918, 13789, 29898, 3696, 29892, 3030, 1125, 13, 268, 13, 1678, 3646, 29918, 2585, 29918, 19594, 29918, 25378, 29922, 3696, 1839, 8667, 4051, 6821, 5402, 12889, 2033, 13, 268, 13, 1678, 20092, 353, 1741, 29889, 8552, 580, 13, 268, 13, 1678, 1018, 29901, 13, 4706, 2933, 353, 3132, 29889, 2783, 29581, 29918, 2585, 29918, 695, 504, 414, 29898, 4051, 6821, 5402, 12889, 29922, 5182, 29918, 2585, 29918, 19594, 29918, 25378, 29897, 13, 308, 13, 4706, 20092, 1839, 4882, 2033, 353, 2933, 1839, 4051, 6821, 504, 414, 2033, 29961, 29900, 22322, 5709, 2033, 13, 268, 13, 4706, 736, 20092, 13, 308, 13, 1678, 5174, 3132, 29889, 11739, 29879, 29889, 4051, 6821, 5402, 17413, 29943, 1292, 408, 321, 29901, 13, 4706, 1596, 29898, 29872, 29897, 13, 308, 13, 4706, 20092, 1839, 4882, 2033, 353, 525, 1333, 29899, 11940, 29915, 13, 4706, 20092, 1839, 4906, 2033, 353, 525, 8439, 338, 694, 9867, 304, 3349, 856, 29915, 13, 308, 13, 4706, 736, 20092, 13, 2 ]
yolo/evaluate.py	antcc/proyecto-vc	0	188695	import numpy as np import os from .utils.utils import get_yolo_boxes, makedirs def evaluate_full(model, generator, obj_thresh = 0.5, nms_thresh = 0.5, net_h = 416, net_w = 416, save_path = ""): # Predict boxes all_detections, all_annotations = predict_boxes( model, generator, obj_thresh, nms_thresh, net_h, net_w, save_path) # Compute mAP m_ap, ap = evaluate_coco( model, generator, all_detections, all_annotations) return m_ap[0], ap[0] def predict_boxes(model, generator, obj_thresh = 0.5, nms_thresh = 0.5, net_h = 416, net_w = 416, save_path = ""): # gather all detections and annotations all_detections = [[None for i in range(generator.num_classes())] for j in range(generator.size())] all_annotations = [[None for i in range(generator.num_classes())] for j in range(generator.size())] # Open file for output save = len(save_path) > 0 f = None if save: dir_path = os.path.split(save_path)[0] + "/" if not os.path.isdir(dir_path): makedirs(dir_path) f = open(save_path, "w") for i in range(generator.size()): raw_image = [generator.load_image(i)] # Write image name to file if save: f.write("# " + generator.img_filename(i) + "\n") # make the boxes and the labels pred_boxes = get_yolo_boxes(model, raw_image, net_h, net_w, generator.get_anchors(), obj_thresh, nms_thresh)[0] score = np.array([box.get_score() for box in pred_boxes]) pred_labels = np.array([box.label for box in pred_boxes]) if len(pred_boxes) > 0: pred_boxes = np.array([[box.xmin, box.ymin, box.xmax, box.ymax, box.get_score()] for box in pred_boxes]) else: pred_boxes = np.array([[]]) # sort the boxes and the labels according to scores score_sort = np.argsort(-score) pred_labels = pred_labels[score_sort] pred_boxes = pred_boxes[score_sort] # copy detections to all_detections for label in range(generator.num_classes()): all_detections[i][label] = pred_boxes[pred_labels == label, :] # Write detection to file if save: for d in all_detections[i][label]: face_str = '{:.1f} {:.1f} {:.1f} {:.1f} {:f}\n'.format(d[0], d[1], d[2] - d[0], d[3] - d[1], d[4]) f.write(face_str) annotations = generator.load_annotation(i) # copy detections to all_annotations for label in range(generator.num_classes()): all_annotations[i][label] = annotations[annotations[:, 4] == label, :4].copy() return all_detections, all_annotations def evaluate_coco(model, generator, all_detections, all_annotations, iou_start = 0.5, iou_step = 0.05, num_iou = 10): # Avergage AP overmany IoU thresholds iou_thresh_lst = np.array([iou_start + i * iou_step for i in range(num_iou)]) # compute mAP by comparing all detections and all annotations mean_average_precisions = {} average_precisions = {} for label in range(generator.num_classes()): false_positives = [np.zeros((0,)) for j in range(num_iou)] true_positives = [np.zeros((0,)) for j in range(num_iou)] scores = np.zeros((0,)) num_annotations = 0.0 for i in range(generator.size()): detections = all_detections[i][label] annotations = all_annotations[i][label] num_annotations += annotations.shape[0] detected_annotations = [] for d in detections: scores = np.append(scores, d[4]) if annotations.shape[0] == 0: for j in range(num_iou): false_positives[j] = np.append(false_positives[j], 1) true_positives[j] = np.append(true_positives[j], 0) continue overlaps = compute_overlap(np.expand_dims(d, axis=0), annotations) assigned_annotation = np.argmax(overlaps, axis=1) max_overlap = overlaps[0, assigned_annotation] if assigned_annotation in detected_annotations: for j in range(num_iou): false_positives[j] = np.append(false_positives[j], 1) true_positives[j] = np.append(true_positives[j], 0) else: for j, iou_thresh in enumerate(iou_thresh_lst): if max_overlap >= iou_thresh: false_positives[j] = np.append(false_positives[j], 0) true_positives[j] = np.append(true_positives[j], 1) else: false_positives[j] = np.append(false_positives[j], 1) true_positives[j] = np.append(true_positives[j], 0) if (max_overlap >= iou_thresh_lst).any(): detected_annotations.append(assigned_annotation) # no annotations -> AP for this class is 0 (is this correct?) if num_annotations == 0: mean_average_precisions[label] = 0 average_precisions[label] = 0 continue # sort by score indices = np.argsort(-scores) recall = [np.zeros((0,)) for j in range(num_iou)] precision = [np.zeros((0,)) for j in range(num_iou)] average_precision = 0.0 for j in range(num_iou): false_positives[j] = false_positives[j][indices] true_positives[j] = true_positives[j][indices] # compute false positives and true positives false_positives[j] = np.cumsum(false_positives[j]) true_positives[j] = np.cumsum(true_positives[j]) # compute recall and precision recall[j] = true_positives[j] / num_annotations precision[j] = true_positives[j] / np.maximum(true_positives[j] + false_positives[j], np.finfo(np.float64).eps) # compute average precision average_precision = average_precision + compute_ap(recall[j], precision[j]) if j == 0: average_precisions[label] = average_precision mean_average_precisions[label] = average_precision / float(num_iou) return mean_average_precisions, average_precisions def evaluate_pascal(model, generator, all_detections, all_annotations, iou_threshold = 0.5): """ Evaluate a given dataset using a given model. code originally from https://github.com/fizyr/keras-retinanet # Arguments model : The model to evaluate. generator : The generator that represents the dataset to evaluate. iou_threshold : The threshold used to consider when a detection is positive or negative. obj_thresh : The threshold used to distinguish between object and non-object nms_thresh : The threshold used to determine whether two detections are duplicates net_h : The height of the input image to the model, higher value results in better accuracy net_w : The width of the input image to the model save_path : The path to save images with visualized detections to. # Returns A dict mapping class names to mAP scores. """ # compute mAP by comparing all detections and all annotations average_precisions = {} for label in range(generator.num_classes()): false_positives = np.zeros((0,)) true_positives = np.zeros((0,)) scores = np.zeros((0,)) num_annotations = 0.0 for i in range(generator.size()): detections = all_detections[i][label] annotations = all_annotations[i][label] num_annotations += annotations.shape[0] detected_annotations = [] for d in detections: scores = np.append(scores, d[4]) if annotations.shape[0] == 0: false_positives = np.append(false_positives, 1) true_positives = np.append(true_positives, 0) continue overlaps = compute_overlap(np.expand_dims(d, axis=0), annotations) assigned_annotation = np.argmax(overlaps, axis=1) max_overlap = overlaps[0, assigned_annotation] if max_overlap >= iou_threshold and assigned_annotation not in detected_annotations: false_positives = np.append(false_positives, 0) true_positives = np.append(true_positives, 1) detected_annotations.append(assigned_annotation) else: false_positives = np.append(false_positives, 1) true_positives = np.append(true_positives, 0) # no annotations -> AP for this class is 0 (is this correct?) if num_annotations == 0: average_precisions[label] = 0 continue # sort by score indices = np.argsort(-scores) false_positives = false_positives[indices] true_positives = true_positives[indices] # compute false positives and true positives false_positives = np.cumsum(false_positives) true_positives = np.cumsum(true_positives) # compute recall and precision recall = true_positives / num_annotations precision = true_positives / np.maximum(true_positives + false_positives, np.finfo(np.float64).eps) # compute average precision average_precision = compute_ap(recall, precision) average_precisions[label] = average_precision return average_precisions def compute_overlap(a, b): """ Code originally from https://github.com/rbgirshick/py-faster-rcnn. Parameters ---------- a: (N, 4) ndarray of float b: (K, 4) ndarray of float Returns ------- overlaps: (N, K) ndarray of overlap between boxes and query_boxes """ area = (b[:, 2] - b[:, 0]) * (b[:, 3] - b[:, 1]) iw = np.minimum(np.expand_dims(a[:, 2], axis=1), b[:, 2]) - np.maximum(np.expand_dims(a[:, 0], 1), b[:, 0]) ih = np.minimum(np.expand_dims(a[:, 3], axis=1), b[:, 3]) - np.maximum(np.expand_dims(a[:, 1], 1), b[:, 1]) iw = np.maximum(iw, 0) ih = np.maximum(ih, 0) ua = np.expand_dims((a[:, 2] - a[:, 0]) * (a[:, 3] - a[:, 1]), axis=1) + area - iw * ih ua = np.maximum(ua, np.finfo(float).eps) intersection = iw * ih return intersection / ua def compute_ap(recall, precision): """ Compute the average precision, given the recall and precision curves. Code originally from https://github.com/rbgirshick/py-faster-rcnn. # Arguments recall: The recall curve (list). precision: The precision curve (list). # Returns The average precision as computed in py-faster-rcnn. """ # correct AP calculation # first append sentinel values at the end mrec = np.concatenate(([0.], recall, [1.])) mpre = np.concatenate(([0.], precision, [0.])) # compute the precision envelope for i in range(mpre.size - 1, 0, -1): mpre[i - 1] = np.maximum(mpre[i - 1], mpre[i]) # to calculate area under PR curve, look for points # where X axis (recall) changes value i = np.where(mrec[1:] != mrec[:-1])[0] # and sum (\Delta recall) * prec ap = np.sum((mrec[i + 1] - mrec[i]) * mpre[i + 1]) #another way: interpolating r in {0,0.01,0.02,...,1} # ap = 1/101. * np.sum_{r=0,0.01,...,1} (mpre[r]) return ap	[ 1, 1053, 12655, 408, 7442, 13, 5215, 2897, 13, 3166, 869, 13239, 29889, 13239, 1053, 679, 29918, 29891, 3543, 29918, 1884, 267, 29892, 2136, 287, 12935, 13, 13, 1753, 14707, 29918, 8159, 29898, 4299, 29892, 13, 462, 29871, 15299, 29892, 13, 462, 29871, 5446, 29918, 386, 3781, 353, 29871, 29900, 29889, 29945, 29892, 13, 462, 29871, 302, 1516, 29918, 386, 3781, 353, 29871, 29900, 29889, 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dataset_toolkit/Export/AbstractExport.py	PeloriTech/DatasetToolkit	0	118040	from abc import ABC, abstractmethod from dataset_toolkit.Model.AnnotationModel import AnnotationModel class AbstractExport(ABC): @abstractmethod def start(self): pass @abstractmethod def append(self, new_dataset_dir: str, new_annotations_dir: str, annotation_model: AnnotationModel, new_annotation_filename: str): pass @abstractmethod def close(self): pass	[ 1, 515, 25638, 1053, 16417, 29892, 9846, 5696, 13, 13, 3166, 8783, 29918, 10154, 7354, 29889, 3195, 29889, 21978, 3195, 1053, 530, 16666, 3195, 13, 13, 13, 1990, 25513, 26382, 29898, 19658, 1125, 13, 13, 1678, 732, 16595, 5696, 13, 1678, 822, 1369, 29898, 1311, 1125, 13, 4706, 1209, 13, 13, 1678, 732, 16595, 5696, 13, 1678, 822, 9773, 29898, 1311, 29892, 716, 29918, 24713, 29918, 3972, 29901, 851, 29892, 716, 29918, 6735, 800, 29918, 3972, 29901, 851, 29892, 13, 1669, 17195, 29918, 4299, 29901, 530, 16666, 3195, 29892, 716, 29918, 18317, 29918, 9507, 29901, 851, 1125, 13, 4706, 1209, 13, 13, 1678, 732, 16595, 5696, 13, 1678, 822, 3802, 29898, 1311, 1125, 13, 4706, 1209, 2 ]
tests/test_main.py	JD-ETH/CompilerGym	0	193875	# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import os import sys from typing import List, Optional import gym import pytest import compiler_gym # noqa Register environments. def main( extra_pytest_args: Optional[List[str]] = None, verbose_service_logging: bool = True ): """The main entry point for the pytest runner. An example file which uses this: from compiler_gym.util.test_main import main def test_foo(): assert 1 + 1 == 2 if __name__ == "__main__": main() In the above, the single test_foo test will be executed. :param extra_pytest_args: A list of additional command line options to pass to pytest. :param verbose_service_logging: Whether to enable verbose CompilerGym service logging, useful for debugging failing tests. """ # Use isolated data directories for running tests. os.environ["COMPILER_GYM_SITE_DATA"] = "/tmp/compiler_gym/tests/site_data" os.environ["COMPILER_GYM_CACHE"] = "/tmp/compiler_gym/tests/cache" # Install some benchmarks for the LLVM environment as otherwise # reset() will fail. env = gym.make("llvm-v0") try: env.require_dataset("cBench-v0") finally: env.close() # Use verbose backend debugging when running tests. If a test fails, the debugging # output will be included in the captured stderr. if verbose_service_logging: os.environ["COMPILER_GYM_SERVICE_DEBUG"] = "1" pytest_args = sys.argv + ["-vv"] # Support for sharding. If a py_test target has the shard_count attribute # set (in the range [1,50]), then the pytest-shard module is used to divide # the tests among the shards. See https://pypi.org/project/pytest-shard/ sharded_test = os.environ.get("TEST_TOTAL_SHARDS") if sharded_test: num_shards = int(os.environ["TEST_TOTAL_SHARDS"]) shard_index = int(os.environ["TEST_SHARD_INDEX"]) pytest_args += [f"--shard-id={shard_index}", f"--num-shards={num_shards}"] else: pytest_args += ["-p", "no:pytest-shard"] pytest_args += extra_pytest_args or [] sys.exit(pytest.main(pytest_args))	[ 1, 396, 14187, 1266, 313, 29883, 29897, 13327, 29892, 9266, 29889, 322, 967, 23736, 1078, 29889, 13, 29937, 13, 29937, 910, 2752, 775, 338, 7794, 21144, 1090, 278, 341, 1806, 19405, 1476, 297, 278, 13, 29937, 365, 2965, 1430, 1660, 934, 297, 278, 3876, 3884, 310, 445, 2752, 5447, 29889, 13, 5215, 2897, 13, 5215, 10876, 13, 3166, 19229, 1053, 2391, 29892, 28379, 13, 13, 5215, 330, 962, 13, 5215, 11451, 1688, 13, 13, 5215, 6516, 29918, 29887, 962, 29871, 396, 694, 25621, 12577, 23136, 29889, 13, 13, 13, 1753, 1667, 29898, 13, 1678, 4805, 29918, 2272, 1688, 29918, 5085, 29901, 28379, 29961, 1293, 29961, 710, 5262, 353, 6213, 29892, 26952, 29918, 5509, 29918, 21027, 29901, 6120, 353, 5852, 13, 1125, 13, 1678, 9995, 1576, 1667, 6251, 1298, 363, 278, 11451, 1688, 28877, 29889, 13, 13, 1678, 530, 1342, 934, 607, 3913, 445, 29901, 13, 13, 4706, 515, 6516, 29918, 29887, 962, 29889, 4422, 29889, 1688, 29918, 3396, 1053, 1667, 13, 13, 4706, 822, 1243, 29918, 5431, 7295, 13, 9651, 4974, 29871, 29896, 718, 29871, 29896, 1275, 29871, 29906, 13, 13, 4706, 565, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 9651, 1667, 580, 13, 13, 1678, 512, 278, 2038, 29892, 278, 2323, 1243, 29918, 5431, 1243, 674, 367, 8283, 29889, 13, 13, 1678, 584, 3207, 4805, 29918, 2272, 1688, 29918, 5085, 29901, 319, 1051, 310, 5684, 1899, 1196, 3987, 304, 1209, 13, 4706, 304, 11451, 1688, 29889, 13, 1678, 584, 3207, 26952, 29918, 5509, 29918, 21027, 29901, 26460, 304, 9025, 26952, 3831, 3955, 29954, 962, 13, 4706, 2669, 12183, 29892, 5407, 363, 13490, 17581, 6987, 29889, 13, 1678, 9995, 13, 1678, 396, 4803, 23968, 848, 17525, 363, 2734, 6987, 29889, 13, 1678, 2897, 29889, 21813, 3366, 19795, 2227, 29931, 1001, 29918, 29954, 29979, 29924, 29918, 29903, 9094, 29918, 14573, 3108, 353, 5591, 7050, 29914, 21789, 29918, 29887, 962, 29914, 21150, 29914, 2746, 29918, 1272, 29908, 13, 1678, 2897, 29889, 21813, 3366, 19795, 2227, 29931, 1001, 29918, 29954, 29979, 29924, 29918, 29907, 2477, 9606, 3108, 353, 5591, 7050, 29914, 21789, 29918, 29887, 962, 29914, 21150, 29914, 8173, 29908, 13, 13, 1678, 396, 16052, 777, 23513, 29879, 363, 278, 27624, 9219, 5177, 408, 6467, 13, 1678, 396, 10092, 580, 674, 4418, 29889, 13, 1678, 8829, 353, 330, 962, 29889, 5675, 703, 645, 6925, 29899, 29894, 29900, 1159, 13, 1678, 1018, 29901, 13, 4706, 8829, 29889, 12277, 29918, 24713, 703, 29883, 20841, 305, 29899, 29894, 29900, 1159, 13, 1678, 7146, 29901, 13, 4706, 8829, 29889, 5358, 580, 13, 13, 1678, 396, 4803, 26952, 14998, 13490, 746, 2734, 6987, 29889, 960, 263, 1243, 8465, 29892, 278, 13490, 13, 1678, 396, 1962, 674, 367, 5134, 297, 278, 15468, 380, 20405, 29889, 13, 1678, 565, 26952, 29918, 5509, 29918, 21027, 29901, 13, 4706, 2897, 29889, 21813, 3366, 19795, 2227, 29931, 1001, 29918, 29954, 29979, 29924, 29918, 6304, 19059, 29918, 18525, 3108, 353, 376, 29896, 29908, 13, 13, 1678, 11451, 1688, 29918, 5085, 353, 10876, 29889, 19218, 718, 6796, 29899, 29894, 29894, 3108, 13, 1678, 396, 18601, 363, 528, 20272, 29889, 960, 263, 11451, 29918, 1688, 3646, 756, 278, 528, 538, 29918, 2798, 5352, 13, 1678, 396, 731, 313, 262, 278, 3464, 518, 29896, 29892, 29945, 29900, 11724, 769, 278, 11451, 1688, 29899, 845, 538, 3883, 338, 1304, 304, 16429, 13, 1678, 396, 278, 6987, 4249, 278, 528, 3163, 29889, 2823, 2045, 597, 29886, 1478, 29875, 29889, 990, 29914, 4836, 29914, 2272, 1688, 29899, 845, 538, 29914, 13, 1678, 528, 25600, 29918, 1688, 353, 2897, 29889, 21813, 29889, 657, 703, 18267, 29918, 29911, 2891, 1964, 29918, 7068, 1718, 8452, 1159, 13, 1678, 565, 528, 25600, 29918, 1688, 29901, 13, 4706, 954, 29918, 845, 3163, 353, 938, 29898, 359, 29889, 21813, 3366, 18267, 29918, 29911, 2891, 1964, 29918, 7068, 1718, 8452, 20068, 13, 4706, 528, 538, 29918, 2248, 353, 938, 29898, 359, 29889, 21813, 3366, 18267, 29918, 7068, 17011, 29918, 27992, 20068, 13, 4706, 11451, 1688, 29918, 5085, 4619, 518, 29888, 29908, 489, 845, 538, 29899, 333, 3790, 845, 538, 29918, 2248, 17671, 285, 29908, 489, 1949, 29899, 845, 3163, 3790, 1949, 29918, 845, 3163, 29913, 3108, 13, 1678, 1683, 29901, 13, 4706, 11451, 1688, 29918, 5085, 4619, 6796, 29899, 29886, 613, 376, 1217, 29901, 2272, 1688, 29899, 845, 538, 3108, 13, 13, 1678, 11451, 1688, 29918, 5085, 4619, 4805, 29918, 2272, 1688, 29918, 5085, 470, 5159, 13, 13, 1678, 10876, 29889, 13322, 29898, 2272, 1688, 29889, 3396, 29898, 2272, 1688, 29918, 5085, 876, 13, 2 ]
AcdUtilLib.py	fermi-lat/AcdUtil	0	62084	# $Header: /nfs/slac/g/glast/ground/cvs/GlastRelease-scons/AcdUtil/AcdUtilLib.py,v 1.4 2009/08/08 01:08:04 jrb Exp $ def generate(env, **kw): if not kw.get('depsOnly', 0): env.Tool('addLibrary', library = ['AcdUtil']) if env['PLATFORM'] == 'win32': env.Tool('findPkgPath', package = 'AcdUtil') env.Tool('addLibrary', library = ['AcdUtilCommon']) env.Tool('CalibDataLib') env.Tool('geometryLib') env.Tool('xmlBaseLib') env.Tool('rdbModelLib') env.Tool('calibUtilLib') env.Tool('EventLib') env.Tool('GlastSvcLib') env.Tool('mootCoreLib') env.Tool('facilitiesLib') env.Tool('addLibrary', library = env['gaudiLibs']) env.Tool('addLibrary', library = env['mysqlLibs']) env.Tool('addLibrary', library = env['clhepLibs']) env.Tool('addLibrary', library = env['cppunitLibs']) env.Tool('addLibrary', library = env['xercesLibs']) if env['PLATFORM']=='win32' and env.get('CONTAINERNAME','')=='GlastRelease': env.Tool('findPkgPath', package='CalibSvc') # only needed for building static lib and compiling TestAcdUtil.cxx if kw.get('incsOnly', 0) == 1: env.Tool('findPkgPath', package = 'GlastSvc') env.Tool('findPkgPath', package = 'idents') env.Tool('findPkgPath', package = 'geometry') env.Tool('findPkgPath', package = 'Event') env.Tool('findPkgPath', package = 'enums') def exists(env): return 1;	[ 1, 396, 395, 7850, 29901, 847, 29876, 5847, 29914, 29879, 4620, 29914, 29887, 29914, 3820, 579, 29914, 2057, 29914, 29883, 4270, 29914, 29954, 4230, 19729, 29899, 29879, 3200, 29914, 29909, 2252, 7270, 29914, 29909, 2252, 7270, 14868, 29889, 2272, 29892, 29894, 29871, 29896, 29889, 29946, 29871, 29906, 29900, 29900, 29929, 29914, 29900, 29947, 29914, 29900, 29947, 29871, 29900, 29896, 29901, 29900, 29947, 29901, 29900, 29946, 432, 6050, 12027, 395, 13, 1753, 5706, 29898, 6272, 29892, 3579, 11022, 1125, 13, 1678, 565, 451, 9049, 29889, 657, 877, 311, 567, 11730, 742, 29871, 29900, 1125, 13, 4706, 8829, 29889, 12229, 877, 1202, 12284, 742, 3489, 353, 6024, 29909, 2252, 7270, 11287, 13, 12, 361, 8829, 1839, 7390, 1299, 19094, 2033, 1275, 525, 5080, 29941, 29906, 2396, 13, 12, 1678, 8829, 29889, 12229, 877, 2886, 29925, 9415, 2605, 742, 3577, 353, 525, 29909, 2252, 7270, 1495, 29871, 13, 1678, 8829, 29889, 12229, 877, 1202, 12284, 742, 3489, 353, 6024, 29909, 2252, 7270, 18877, 11287, 13, 1678, 8829, 29889, 12229, 877, 7856, 747, 1469, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 19156, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 3134, 5160, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 29878, 2585, 3195, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 1052, 747, 7270, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 2624, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 29954, 4230, 29903, 7071, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 29885, 3155, 9203, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 17470, 9770, 14868, 1495, 13, 1678, 8829, 29889, 12229, 877, 1202, 12284, 742, 3489, 353, 8829, 1839, 3249, 4749, 14868, 29879, 11287, 13, 1678, 8829, 29889, 12229, 877, 1202, 12284, 742, 3489, 353, 8829, 1839, 7938, 14868, 29879, 11287, 13, 1678, 8829, 29889, 12229, 877, 1202, 12284, 742, 3489, 353, 8829, 1839, 695, 354, 29886, 14868, 29879, 11287, 13, 1678, 8829, 29889, 12229, 877, 1202, 12284, 742, 3489, 353, 8829, 1839, 8223, 5441, 14868, 29879, 11287, 13, 1678, 8829, 29889, 12229, 877, 1202, 12284, 742, 3489, 353, 8829, 1839, 29916, 261, 778, 14868, 29879, 11287, 13, 13, 1678, 565, 8829, 1839, 7390, 1299, 19094, 2033, 1360, 29915, 5080, 29941, 29906, 29915, 322, 8829, 29889, 657, 877, 6007, 6040, 1177, 1001, 5813, 3788, 1495, 1360, 29915, 29954, 4230, 19729, 2396, 13, 4706, 8829, 29889, 12229, 877, 2886, 29925, 9415, 2605, 742, 3577, 2433, 7856, 747, 29903, 7071, 1495, 13, 13, 1678, 396, 871, 4312, 363, 5214, 2294, 4303, 322, 22520, 4321, 29909, 2252, 7270, 29889, 29883, 4419, 13, 1678, 565, 9049, 29889, 657, 877, 262, 2395, 11730, 742, 29871, 29900, 29897, 1275, 29871, 29896, 29901, 29871, 13, 4706, 8829, 29889, 12229, 877, 2886, 29925, 9415, 2605, 742, 3577, 353, 525, 29954, 4230, 29903, 7071, 1495, 29871, 13, 4706, 8829, 29889, 12229, 877, 2886, 29925, 9415, 2605, 742, 3577, 353, 525, 16719, 1495, 29871, 13, 4706, 8829, 29889, 12229, 877, 2886, 29925, 9415, 2605, 742, 3577, 353, 525, 19156, 1495, 29871, 13, 4706, 8829, 29889, 12229, 877, 2886, 29925, 9415, 2605, 742, 3577, 353, 525, 2624, 1495, 29871, 13, 4706, 8829, 29889, 12229, 877, 2886, 29925, 9415, 2605, 742, 3577, 353, 525, 264, 6762, 1495, 29871, 13, 13, 1753, 4864, 29898, 6272, 1125, 13, 1678, 736, 29871, 29896, 29936, 13, 2 ]
selfdrive/sensord/rawgps/structs.py	TC921/openpilot	0	2862	from struct import unpack_from, calcsize LOG_GNSS_POSITION_REPORT = 0x1476 LOG_GNSS_GPS_MEASUREMENT_REPORT = 0x1477 LOG_GNSS_CLOCK_REPORT = 0x1478 LOG_GNSS_GLONASS_MEASUREMENT_REPORT = 0x1480 LOG_GNSS_BDS_MEASUREMENT_REPORT = 0x1756 LOG_GNSS_GAL_MEASUREMENT_REPORT = 0x1886 LOG_GNSS_OEMDRE_MEASUREMENT_REPORT = 0x14DE LOG_GNSS_OEMDRE_SVPOLY_REPORT = 0x14E1 LOG_GNSS_ME_DPO_STATUS = 0x1838 LOG_GNSS_CD_DB_REPORT = 0x147B LOG_GNSS_PRX_RF_HW_STATUS_REPORT = 0x147E LOG_CGPS_SLOW_CLOCK_CLIB_REPORT = 0x1488 LOG_GNSS_CONFIGURATION_STATE = 0x1516 glonass_measurement_report = """ uint8_t version; uint32_t f_count; uint8_t glonass_cycle_number; uint16_t glonass_number_of_days; uint32_t milliseconds; float time_bias; float clock_time_uncertainty; float clock_frequency_bias; float clock_frequency_uncertainty; uint8_t sv_count; """ glonass_measurement_report_sv = """ uint8_t sv_id; int8_t frequency_index; uint8_t observation_state; // SVObservationStates uint8_t observations; uint8_t good_observations; uint8_t hemming_error_count; uint8_t filter_stages; uint16_t carrier_noise; int16_t latency; uint8_t predetect_interval; uint16_t postdetections; uint32_t unfiltered_measurement_integral; float unfiltered_measurement_fraction; float unfiltered_time_uncertainty; float unfiltered_speed; float unfiltered_speed_uncertainty; uint32_t measurement_status; uint8_t misc_status; uint32_t multipath_estimate; float azimuth; float elevation; int32_t carrier_phase_cycles_integral; uint16_t carrier_phase_cycles_fraction; float fine_speed; float fine_speed_uncertainty; uint8_t cycle_slip_count; uint32_t pad; """ gps_measurement_report = """ uint8_t version; uint32_t f_count; uint16_t week; uint32_t milliseconds; float time_bias; float clock_time_uncertainty; float clock_frequency_bias; float clock_frequency_uncertainty; uint8_t sv_count; """ gps_measurement_report_sv = """ uint8_t sv_id; uint8_t observation_state; // SVObservationStates uint8_t observations; uint8_t good_observations; uint16_t parity_error_count; uint8_t filter_stages; uint16_t carrier_noise; int16_t latency; uint8_t predetect_interval; uint16_t postdetections; uint32_t unfiltered_measurement_integral; float unfiltered_measurement_fraction; float unfiltered_time_uncertainty; float unfiltered_speed; float unfiltered_speed_uncertainty; uint32_t measurement_status; uint8_t misc_status; uint32_t multipath_estimate; float azimuth; float elevation; int32_t carrier_phase_cycles_integral; uint16_t carrier_phase_cycles_fraction; float fine_speed; float fine_speed_uncertainty; uint8_t cycle_slip_count; uint32_t pad; """ position_report = """ uint8 u_Version; /* Version number of DM log / uint32 q_Fcount; / Local millisecond counter / uint8 u_PosSource; / Source of position information / / 0: None 1: Weighted least-squares 2: Kalman filter 3: Externally injected 4: Internal database / uint32 q_Reserved1; / Reserved memory field / uint16 w_PosVelFlag; / Position velocity bit field: (see DM log 0x1476 documentation) / uint32 q_PosVelFlag2; / Position velocity 2 bit field: (see DM log 0x1476 documentation) / uint8 u_FailureCode; / Failure code: (see DM log 0x1476 documentation) / uint16 w_FixEvents; / Fix events bit field: (see DM log 0x1476 documentation) / uint32 _fake_align_week_number; uint16 w_GpsWeekNumber; / GPS week number of position / uint32 q_GpsFixTimeMs; / GPS fix time of week of in milliseconds / uint8 u_GloNumFourYear; / Number of Glonass four year cycles / uint16 w_GloNumDaysInFourYear; / Glonass calendar day in four year cycle / uint32 q_GloFixTimeMs; / Glonass fix time of day in milliseconds / uint32 q_PosCount; / Integer count of the number of unique positions reported / uint64 t_DblFinalPosLatLon[2]; / Final latitude and longitude of position in radians / uint32 q_FltFinalPosAlt; / Final height-above-ellipsoid altitude of position / uint32 q_FltHeadingRad; / User heading in radians / uint32 q_FltHeadingUncRad; / User heading uncertainty in radians / uint32 q_FltVelEnuMps[3]; / User velocity in east, north, up coordinate frame. In meters per second. / uint32 q_FltVelSigmaMps[3]; / Gaussian 1-sigma value for east, north, up components of user velocity / uint32 q_FltClockBiasMeters; / Receiver clock bias in meters / uint32 q_FltClockBiasSigmaMeters; / Gaussian 1-sigma value for receiver clock bias in meters / uint32 q_FltGGTBMeters; / GPS to Glonass time bias in meters / uint32 q_FltGGTBSigmaMeters; / Gaussian 1-sigma value for GPS to Glonass time bias uncertainty in meters / uint32 q_FltGBTBMeters; / GPS to BeiDou time bias in meters / uint32 q_FltGBTBSigmaMeters; / Gaussian 1-sigma value for GPS to BeiDou time bias uncertainty in meters / uint32 q_FltBGTBMeters; / BeiDou to Glonass time bias in meters / uint32 q_FltBGTBSigmaMeters; / Gaussian 1-sigma value for BeiDou to Glonass time bias uncertainty in meters / uint32 q_FltFiltGGTBMeters; / Filtered GPS to Glonass time bias in meters / uint32 q_FltFiltGGTBSigmaMeters; / Filtered Gaussian 1-sigma value for GPS to Glonass time bias uncertainty in meters / uint32 q_FltFiltGBTBMeters; / Filtered GPS to BeiDou time bias in meters / uint32 q_FltFiltGBTBSigmaMeters; / Filtered Gaussian 1-sigma value for GPS to BeiDou time bias uncertainty in meters / uint32 q_FltFiltBGTBMeters; / Filtered BeiDou to Glonass time bias in meters / uint32 q_FltFiltBGTBSigmaMeters; / Filtered Gaussian 1-sigma value for BeiDou to Glonass time bias uncertainty in meters / uint32 q_FltSftOffsetSec; / SFT offset as computed by WLS in seconds / uint32 q_FltSftOffsetSigmaSec; / Gaussian 1-sigma value for SFT offset in seconds / uint32 q_FltClockDriftMps; / Clock drift (clock frequency bias) in meters per second / uint32 q_FltClockDriftSigmaMps; / Gaussian 1-sigma value for clock drift in meters per second / uint32 q_FltFilteredAlt; / Filtered height-above-ellipsoid altitude in meters as computed by WLS / uint32 q_FltFilteredAltSigma; / Gaussian 1-sigma value for filtered height-above-ellipsoid altitude in meters / uint32 q_FltRawAlt; / Raw height-above-ellipsoid altitude in meters as computed by WLS / uint32 q_FltRawAltSigma; / Gaussian 1-sigma value for raw height-above-ellipsoid altitude in meters / uint32 align_Flt[14]; uint32 q_FltPdop; / 3D position dilution of precision as computed from the unweighted uint32 q_FltHdop; /* Horizontal position dilution of precision as computed from the unweighted least-squares covariance matrix / uint32 q_FltVdop; / Vertical position dilution of precision as computed from the unweighted least-squares covariance matrix / uint8 u_EllipseConfidence; / Statistical measure of the confidence (percentage) associated with the uncertainty ellipse values / uint32 q_FltEllipseAngle; / Angle of semimajor axis with respect to true North, with increasing angles moving clockwise from North. In units of degrees. / uint32 q_FltEllipseSemimajorAxis; / Semimajor axis of final horizontal position uncertainty error ellipse. In units of meters. / uint32 q_FltEllipseSemiminorAxis; / Semiminor axis of final horizontal position uncertainty error ellipse. In units of meters. / uint32 q_FltPosSigmaVertical; / Gaussian 1-sigma value for final position height-above-ellipsoid altitude in meters / uint8 u_HorizontalReliability; / Horizontal position reliability 0: Not set 1: Very Low 2: Low 3: Medium 4: High / uint8 u_VerticalReliability; / Vertical position reliability / uint16 w_Reserved2; / Reserved memory field / uint32 q_FltGnssHeadingRad; / User heading in radians derived from GNSS only solution / uint32 q_FltGnssHeadingUncRad; / User heading uncertainty in radians derived from GNSS only solution / uint32 q_SensorDataUsageMask; / Denotes which additional sensor data were used to compute this position fix. BIT[0] 0x00000001 <96> Accelerometer BIT[1] 0x00000002 <96> Gyro 0x0000FFFC - Reserved A bit set to 1 indicates that certain fields as defined by the SENSOR_AIDING_MASK were aided with sensor data/ uint32 q_SensorAidMask; / Denotes which component of the position report was assisted with additional sensors defined in SENSOR_DATA_USAGE_MASK BIT[0] 0x00000001 <96> Heading aided with sensor data BIT[1] 0x00000002 <96> Speed aided with sensor data BIT[2] 0x00000004 <96> Position aided with sensor data BIT[3] 0x00000008 <96> Velocity aided with sensor data 0xFFFFFFF0 <96> Reserved / uint8 u_NumGpsSvsUsed; / The number of GPS SVs used in the fix / uint8 u_TotalGpsSvs; / Total number of GPS SVs detected by searcher, including ones not used in position calculation / uint8 u_NumGloSvsUsed; / The number of Glonass SVs used in the fix / uint8 u_TotalGloSvs; / Total number of Glonass SVs detected by searcher, including ones not used in position calculation / uint8 u_NumBdsSvsUsed; / The number of BeiDou SVs used in the fix / uint8 u_TotalBdsSvs; / Total number of BeiDou SVs detected by searcher, including ones not used in position calculation / """ def name_to_camelcase(nam): ret = [] i = 0 while i < len(nam): if nam[i] == "_": ret.append(nam[i+1].upper()) i += 2 else: ret.append(nam[i]) i += 1 return ''.join(ret) def parse_struct(ss): st = "<" nams = [] for l in ss.strip().split("\n"): typ, nam = l.split(";")[0].split() #print(typ, nam) if typ == "float" or '_Flt' in nam: st += "f" elif typ == "double" or '_Dbl' in nam: st += "d" elif typ in ["uint8", "uint8_t"]: st += "B" elif typ in ["int8", "int8_t"]: st += "b" elif typ in ["uint32", "uint32_t"]: st += "I" elif typ in ["int32", "int32_t"]: st += "i" elif typ in ["uint16", "uint16_t"]: st += "H" elif typ in ["int16", "int16_t"]: st += "h" elif typ == "uint64": st += "Q" else: print("unknown type", typ) assert False if '[' in nam: cnt = int(nam.split("[")[1].split("]")[0]) st += st[-1](cnt-1) for i in range(cnt): nams.append("%s[%d]" % (nam.split("[")[0], i)) else: nams.append(nam) return st, nams def dict_unpacker(ss, camelcase = False): st, nams = parse_struct(ss) if camelcase: nams = [name_to_camelcase(x) for x in nams] sz = calcsize(st) return lambda x: dict(zip(nams, unpack_from(st, x))), sz	[ 1, 515, 2281, 1053, 443, 4058, 29918, 3166, 29892, 22235, 2311, 13, 13, 14480, 29918, 20728, 1799, 29918, 24815, 22122, 29918, 1525, 15082, 353, 29871, 29900, 29916, 29896, 29946, 29955, 29953, 13, 14480, 29918, 20728, 1799, 29918, 29954, 7024, 29918, 2303, 3289, 11499, 13780, 29918, 1525, 15082, 353, 29871, 29900, 29916, 29896, 29946, 29955, 29955, 13, 14480, 29918, 20728, 1799, 29918, 29907, 21339, 29918, 1525, 15082, 353, 29871, 29900, 29916, 29896, 29946, 29955, 29947, 13, 14480, 29918, 20728, 1799, 29918, 7239, 1164, 22933, 29918, 2303, 3289, 11499, 13780, 29918, 1525, 15082, 353, 29871, 29900, 29916, 29896, 29946, 29947, 29900, 13, 14480, 29918, 20728, 1799, 29918, 29933, 8452, 29918, 2303, 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qstklearn/1knn.py	elxavicio/QSTK	339	1790	<filename>qstklearn/1knn.py<gh_stars>100-1000 ''' (c) 2011, 2012 Georgia Tech Research Corporation This source code is released under the New BSD license. Please see http://wiki.quantsoftware.org/index.php?title=QSTK_License for license details. Created on Feb 20, 2011 @author: <NAME> @organization: Georgia Institute of Technology @contact: <EMAIL> @summary: This is an implementation of the 1-KNN algorithm for ranking features quickly. It uses the knn implementation. @status: oneKNN functions correctly, optimized to use n^2/2 algorithm. ''' import matplotlib.pyplot as plt from pylab import gca import itertools import string import numpy as np import math import knn from time import clock ''' @summary: Query function for 1KNN, return value is a double between 0 and 1. @param naData: A 2D numpy array. Each row is a data point with the final column containing the classification. ''' def oneKnn( naData ): if naData.ndim != 2: raise Exception( "Data should have two dimensions" ) lLen = naData.shape[0] ''' # of dimensions, subtract one for classification ''' lDim = naData.shape[1] - 1 ''' Start best distances as very large ''' ldDistances = [1E300] * lLen llIndexes = [-1] * lLen dDistance = 0.0; ''' Loop through finding closest neighbors ''' for i in range( lLen ): for j in range( i+1, lLen ): dDistance = 0.0 for k in range( 0, lDim ): dDistance += (naData[i][k] - naData[j][k])*2 dDistance = math.sqrt( dDistance ) ''' Two distances to check, for i's best, and j's best ''' if dDistance < ldDistances[i]: ldDistances[i] = dDistance llIndexes[i] = j if dDistance < ldDistances[j]: ldDistances[j] = dDistance llIndexes[j] = i lCount = 0 ''' Now count # of matching pairs ''' for i in range( lLen ): if naData[i][-1] == naData[ llIndexes[i] ][-1]: lCount = lCount + 1 return float(lCount) / lLen ''' Test function to plot results ''' def _plotResults( naDist1, naDist2, lfOneKnn, lf5Knn ): plt.clf() plt.subplot(311) plt.scatter( naDist1[:,0], naDist1[:,1] ) plt.scatter( naDist2[:,0], naDist2[:,1], color='r' ) #plt.ylabel( 'Feature 2' ) #plt.xlabel( 'Feature 1' ) #gca().annotate( '', xy=( .8, 0 ), xytext=( -.3 , 0 ), arrowprops=dict(facecolor='red', shrink=0.05) ) gca().annotate( '', xy=( .7, 0 ), xytext=( 1.5 , 0 ), arrowprops=dict(facecolor='black', shrink=0.05) ) plt.title( 'Data Distribution' ) plt.subplot(312) plt.plot( range( len(lfOneKnn) ), lfOneKnn ) plt.ylabel( '1-KNN Value' ) #plt.xlabel( 'Distribution Merge' ) plt.title( '1-KNN Performance' ) plt.subplot(313) plt.plot( range( len(lf5Knn) ), lf5Knn ) plt.ylabel( '% Correct Classification' ) #plt.xlabel( 'Distribution Merge' ) plt.title( '5-KNN Performance' ) plt.subplots_adjust() plt.show() ''' Function to plot 2 distributions ''' def _plotDist( naDist1, naDist2, i ): plt.clf() plt.scatter( naDist1[:,0], naDist1[:,1] ) plt.scatter( naDist2[:,0], naDist2[:,1], color='r' ) plt.ylabel( 'Feature 2' ) plt.xlabel( 'Feature 1' ) plt.title( 'Iteration ' + str(i) ) plt.show() ''' Function to test KNN performance ''' def _knnResult( naData ): ''' Split up data into training/testing ''' lSplit = naData.shape[0] .7 naTrain = naData[:lSplit, :] naTest = naData[lSplit:, :] knn.addEvidence( naTrain.astype(float), 1 ); ''' Query with last column omitted and 5 nearest neighbors ''' naResults = knn.query( naTest[:,:-1], 5, 'mode') ''' Count returns which are correct ''' lCount = 0 for i, dVal in enumerate(naResults): if dVal == naTest[i,-1]: lCount = lCount + 1 dResult = float(lCount) / naResults.size return dResult ''' Tests performance of 1-KNN ''' def _test1(): ''' Generate three random samples to show the value of 1-KNN compared to 5KNN learner performance ''' for i in range(3): ''' Select one of three distributions ''' if i == 0: naTest1 = np.random.normal( loc=[0,0],scale=.25,size=[500,2] ) naTest1 = np.hstack( (naTest1, np.zeros(500).reshape(-1,1) ) ) naTest2 = np.random.normal( loc=[1.5,0],scale=.25,size=[500,2] ) naTest2 = np.hstack( (naTest2, np.ones(500).reshape(-1,1) ) ) elif i == 1: naTest1 = np.random.normal( loc=[0,0],scale=.25,size=[500,2] ) naTest1 = np.hstack( (naTest1, np.zeros(500).reshape(-1,1) ) ) naTest2 = np.random.normal( loc=[1.5,0],scale=.1,size=[500,2] ) naTest2 = np.hstack( (naTest2, np.ones(500).reshape(-1,1) ) ) else: naTest1 = np.random.normal( loc=[0,0],scale=.25,size=[500,2] ) naTest1 = np.hstack( (naTest1, np.zeros(500).reshape(-1,1) ) ) naTest2 = np.random.normal( loc=[1.5,0],scale=.25,size=[250,2] ) naTest2 = np.hstack( (naTest2, np.ones(250).reshape(-1,1) ) ) naOrig = np.vstack( (naTest1, naTest2) ) naBoth = np.vstack( (naTest1, naTest2) ) ''' Keep track of runtimes ''' t = clock() cOneRuntime = t-t; cKnnRuntime = t-t; lfResults = [] lfKnnResults = [] for i in range( 15 ): #_plotDist( naTest1, naBoth[100:,:], i ) t = clock() lfResults.append( oneKnn( naBoth ) ) cOneRuntime = cOneRuntime + (clock() - t) t = clock() lfKnnResults.append( _knnResult( np.random.permutation(naBoth) ) ) cKnnRuntime = cKnnRuntime + (clock() - t) naBoth[500:,0] = naBoth[500:,0] - .1 print 'Runtime OneKnn:', cOneRuntime print 'Runtime 5-KNN:', cKnnRuntime _plotResults( naTest1, naTest2, lfResults, lfKnnResults ) ''' Tests performance of 1-KNN ''' def _test2(): ''' Generate three random samples to show the value of 1-KNN compared to 5KNN learner performance ''' np.random.seed( 12345 ) ''' Create 5 distributions for each of the 5 attributes ''' dist1 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist2 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist3 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist4 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist5 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) lDists = [ dist1, dist2, dist3, dist4, dist5 ] ''' All features used except for distribution 4 ''' distY = np.sin( dist1 ) + np.sin( dist2 ) + np.sin( dist3 ) + np.sin( dist5 ) distY = distY.reshape( -1, 1 ) for i, fVal in enumerate( distY ): if fVal >= 0: distY[i] = 1 else: distY[i] = 0 for i in range( 1, 6 ): lsNames = [] lf1Vals = [] lfVals = [] for perm in itertools.combinations( '12345', i ): ''' set test distribution to first element ''' naTest = lDists[ int(perm[0]) - 1 ] sPerm = perm[0] ''' stack other distributions on ''' for j in range( 1, len(perm) ): sPerm = sPerm + str(perm[j]) naTest = np.hstack( (naTest, lDists[ int(perm[j]) - 1 ] ) ) ''' finally stack y values ''' naTest = np.hstack( (naTest, distY) ) lf1Vals.append( oneKnn( naTest ) ) lfVals.append( _knnResult( np.random.permutation(naTest) ) ) lsNames.append( sPerm ) ''' Plot results ''' plt1 = plt.bar( np.arange(len(lf1Vals)), lf1Vals, .2, color='r' ) plt2 = plt.bar( np.arange(len(lfVals)) + 0.2, lfVals, .2, color='b' ) plt.legend( (plt1[0], plt2[0]), ('1-KNN', 'KNN, K=5') ) plt.ylabel('1-KNN Value/KNN Classification') plt.xlabel('Feature Set') plt.title('Combinations of ' + str(i) + ' Features') 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server/pitches/migrations/0012_auto_20171216_2219.py	bholtbholt/unconf	10	184734	<gh_stars>1-10 # Generated by Django 2.0 on 2017-12-17 06:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pitches', '0011_schedule'), ] operations = [ migrations.AlterField( model_name='slot', name='end_time', field=models.TimeField(), ), migrations.AlterField( model_name='slot', name='start_time', field=models.TimeField(), ), ]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 3251, 630, 491, 15337, 29871, 29906, 29889, 29900, 373, 29871, 29906, 29900, 29896, 29955, 29899, 29896, 29906, 29899, 29896, 29955, 29871, 29900, 29953, 29901, 29896, 29929, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 29886, 2335, 267, 742, 525, 29900, 29900, 29896, 29896, 29918, 816, 11272, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 2536, 327, 742, 13, 9651, 1024, 2433, 355, 29918, 2230, 742, 13, 9651, 1746, 29922, 9794, 29889, 2481, 3073, 3285, 13, 4706, 10353, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 2536, 327, 742, 13, 9651, 1024, 2433, 2962, 29918, 2230, 742, 13, 9651, 1746, 29922, 9794, 29889, 2481, 3073, 3285, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
tests/unit/test_environment.py	klmitch/stepmaker	0	98887	<filename>tests/unit/test_environment.py import os import pytest from six.moves import builtins from stepmaker import environment from stepmaker import exceptions class ExceptionForTest(Exception): pass class TestCompletedProcess(object): def test_init_base(self): result = environment.CompletedProcess(['a1', 'a2', 'a3'], 42) assert result.args == ['a1', 'a2', 'a3'] assert result.returncode == 42 assert result.stdout is None assert result.stderr is None def test_init_alt(self): result = environment.CompletedProcess( ['a1', 'a2', 'a3'], 42, 'stdout', 'stderr' ) assert result.args == ['a1', 'a2', 'a3'] assert result.returncode == 42 assert result.stdout == 'stdout' assert result.stderr == 'stderr' class TestEnvironment(object): def test_init_base(self, mocker): mocker.patch.object( environment.os, 'getcwd', return_value='/some/path', ) mock_canonicalize_path = mocker.patch.object( environment.utils, '_canonicalize_path', return_value='/real/path', ) result = environment.Environment() assert result._environ == os.environ assert id(result._environ) != id(os.environ) assert result._cwd == '/real/path' assert result._specials == {} assert result._special_cache == {} mock_canonicalize_path.assert_called_once_with( '/some/path', os.curdir, ) def test_init_alt(self, mocker): mocker.patch.object( environment.os, 'getcwd', return_value='/some/path', ) mock_canonicalize_path = mocker.patch.object( environment.utils, '_canonicalize_path', return_value='/real/path', ) result = environment.Environment({'a': 1, 'b': 2}, '/c/w/d', c=3, d=4) assert result._environ == {'a': 1, 'b': 2} assert id(result._environ) != id(os.environ) assert result._cwd == '/real/path' assert result._specials == {'c': 3, 'd': 4} assert result._special_cache == {} mock_canonicalize_path.assert_called_once_with( '/some/path', '/c/w/d', ) def test_len(self): obj = environment.Environment({'a': 1, 'b': 2}) assert len(obj) == 2 def test_iter(self): obj = environment.Environment({'a': 1, 'b': 2}) result = set(obj) assert result == set(['a', 'b']) def test_getitem_missing_key(self, mocker): mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}) with pytest.raises(KeyError): obj['c'] mock_get_special.assert_not_called() def test_getitem_with_key(self, mocker): mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}) assert obj['a'] == 1 mock_get_special.assert_not_called() def test_getitem_with_special(self, mocker): mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}, a='spam') assert obj['a'] == 'special' mock_get_special.assert_called_once_with('a') def test_setitem_base(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}) obj['a'] = 5 assert obj._environ == {'a': 5, 'b': 2} mock_get_special.assert_not_called() special.set.assert_not_called() def test_setitem_with_special(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}, a='special') obj['a'] = 5 assert obj._environ == {'a': 1, 'b': 2} mock_get_special.assert_called_once_with('a') special.set.assert_called_once_with(5) def test_delitem_base(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}) del obj['a'] assert obj._environ == {'b': 2} mock_get_special.assert_not_called() special.delete.assert_not_called() def test_delitem_missing_key(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}) with pytest.raises(KeyError): del obj['c'] assert obj._environ == {'a': 1, 'b': 2} mock_get_special.assert_not_called() special.delete.assert_not_called() def test_delitem_with_special(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}, a='special') del obj['a'] assert obj._environ == {'a': 1, 'b': 2} mock_get_special.assert_called_once_with('a') special.delete.assert_called_once_with() def test_call_base(self, mocker): process = mocker.Mock({ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj(['cmd', 'a1', 'a2'], a=1, b=2) assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 0 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_args_str(self, mocker): process = mocker.Mock({ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj('cmd a1 a2', a=1, b=2) assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 0 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_with_input(self, mocker): process = mocker.Mock({ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj(['cmd', 'a1', 'a2'], a=1, b=2, input='text') assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 0 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2, 'stdin': environment.PIPE}, ) process.assert_has_calls([ mocker.call.communicate('text'), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_both_input_and_stdin(self, mocker): process = mocker.Mock({ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() with pytest.raises(ValueError): obj(['cmd', 'a1', 'a2'], a=1, b=2, input='text', stdin='pipe') mock_system.assert_not_called() assert len(process.method_calls) == 0 def test_call_communicate_fail(self, mocker): process = mocker.Mock({ 'communicate.side_effect': ExceptionForTest('test'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() with pytest.raises(ExceptionForTest): obj(['cmd', 'a1', 'a2'], a=1, b=2) mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.kill(), mocker.call.wait(), ]) assert len(process.method_calls) == 3 def test_call_nonzero_returncode(self, mocker): process = mocker.Mock({ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 5, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj(['cmd', 'a1', 'a2'], a=1, b=2) assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 5 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_nonzero_returncode_check(self, mocker): process = mocker.Mock(**{ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 5, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() with pytest.raises(exceptions.ProcessError) as exc_info: obj(['cmd', 'a1', 'a2'], a=1, b=2, check=True) assert isinstance(exc_info.value.result, environment.CompletedProcess) assert exc_info.value.result.args == ['cmd', 'a1', 'a2'] assert exc_info.value.result.returncode == 5 assert exc_info.value.result.stdout == 'stdout' assert exc_info.value.result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_get_special_cached(self, mocker): special_factory = mocker.Mock( return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}, a=special_factory) obj._special_cache['a'] = 'cached' result = obj._get_special('a') assert result == 'cached' assert obj._special_cache == {'a': 'cached'} special_factory.assert_not_called() def test_get_special_uncached(self, mocker): special_factory = mocker.Mock( return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}, a=special_factory) result = obj._get_special('a') assert result == 'special' assert obj._special_cache == {'a': 'special'} special_factory.assert_called_once_with(obj, 'a') def test_set(self): obj = environment.Environment({'a': 1, 'b': 2}) obj._set('a', 5) assert obj._environ == {'a': 5, 'b': 2} def test_delete_exists(self): obj = environment.Environment({'a': 1, 'b': 2}) obj._delete('a') assert obj._environ == {'b': 2} def test_delete_missing(self): obj = environment.Environment({'a': 1, 'b': 2}) obj._delete('c') assert obj._environ == {'a': 1, 'b': 2} def test_system_base(self, mocker): mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/path', ) mock_Popen = mocker.patch.object( environment.subprocess, 'Popen', return_value='result', ) obj = environment.Environment({'a': 1, 'b': 2}) result = obj._system('args', {'c': 3, 'd': 4}) assert result == 'result' mock_filename.assert_not_called() mock_Popen.assert_called_once_with( 'args', c=3, d=4, cwd=obj._cwd, env={'a': 1, 'b': 2}, close_fds=True, ) def test_system_alt(self, mocker): mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/path', ) mock_Popen = mocker.patch.object( environment.subprocess, 'Popen', return_value='result', ) obj = environment.Environment({'a': 1, 'b': 2}) result = obj._system('args', { 'c': 3, 'd': 4, 'cwd': '/other/path', 'env': {'a': 2, 'b': 1}, 'close_fds': False }) assert result == 'result' mock_filename.assert_called_once_with('/other/path') mock_Popen.assert_called_once_with( 'args', c=3, d=4, cwd='/some/path', env={'a': 2, 'b': 1}, close_fds=False, ) def test_setdefault_missing(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}) result = obj.setdefault('c', 3) assert result == 3 assert obj._environ == {'a': 1, 'b': 2, 'c': 3} def test_setdefault_present(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}) result = obj.setdefault('a', 3) assert result == 1 assert obj._environ == {'a': 1, 'b': 2} def test_copy(self): obj = environment.Environment({'a': 1, 'b': 2}, '/c/w/d', c=3, d=4) result = obj.copy() assert id(result) != id(obj) assert result._environ == obj._environ assert id(result._environ) != id(obj._environ) assert result._cwd == '/c/w/d' assert result._specials == {'c': 3, 'd': 4} assert result._special_cache == {} def test_register_base(self): obj = environment.Environment({'a': 1, 'b': 2}, c=3, d=4) obj._special_cache['c'] = 'cached' result = obj.register('c', 3) assert result == 3 assert obj._specials == {'c': 3, 'd': 4} assert obj._special_cache == {'c': 'cached'} def test_register_change(self): obj = environment.Environment({'a': 1, 'b': 2}, c=3, d=4) obj._special_cache['c'] = 'cached' result = obj.register('c', 5) assert result == 3 assert obj._specials == {'c': 5, 'd': 4} assert obj._special_cache == {} def test_register_unregister(self): obj = environment.Environment({'a': 1, 'b': 2}, c=3, d=4) obj._special_cache['c'] = 'cached' result = obj.register('c') assert result == 3 assert obj._specials == {'d': 4} assert obj._special_cache == {} def test_get_raw_missing_key_no_default(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}, c='special') with pytest.raises(KeyError): obj.get_raw('c') def test_get_raw_missing_key_with_default(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}, c='special') result = obj.get_raw('c', 'default') assert result == 'default' def test_get_raw_with_key(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}, a='special') result = obj.get_raw('a', 'default') assert result == 1 def test_filename(self, mocker): obj = environment.Environment() # Note: must be set up after initializing the environment mock_canonicalize_path = mocker.patch.object( environment.utils, '_canonicalize_path', return_value='/canon/path', ) result = obj.filename('file.name') assert result == '/canon/path' mock_canonicalize_path.assert_called_once_with(obj._cwd, 'file.name') def test_open_base(self, mocker): mock_open = mocker.patch.object( builtins, 'open', return_value='handle', ) mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/file', ) obj = environment.Environment() result = obj.open('file.name') assert result == 'handle' mock_filename.assert_called_once_with('file.name') mock_open.assert_called_once_with('/some/file', 'r', -1) def test_open_alt(self, mocker): mock_open = mocker.patch.object( builtins, 'open', return_value='handle', ) mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/file', ) obj = environment.Environment() result = obj.open('file.name', 'w', 1) assert result == 'handle' mock_filename.assert_called_once_with('file.name') mock_open.assert_called_once_with('/some/file', 'w', 1) def test_popen_base(self, mocker): mock_system = mocker.patch.object( environment.Environment, '_system', return_value='result', ) obj = environment.Environment() result = obj.popen(['cmd', 'a1', 'a2'], a=1, b=2) assert result == 'result' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) def test_popen_arg_str(self, mocker): mock_system = mocker.patch.object( environment.Environment, '_system', return_value='result', ) obj = environment.Environment() result = obj.popen('cmd a1 a2', a=1, b=2) assert result == 'result' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) def test_cwd_get(self): obj = environment.Environment() assert obj.cwd == obj._cwd def test_cwd_set(self, mocker): mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/new/cwd', ) obj = environment.Environment() obj.cwd = '/some/path' assert obj._cwd == '/new/cwd' mock_filename.assert_called_once_with('/some/path')	[ 1, 529, 9507, 29958, 21150, 29914, 5441, 29914, 1688, 29918, 20944, 29889, 2272, 13, 5215, 2897, 13, 13, 5215, 11451, 1688, 13, 3166, 4832, 29889, 13529, 267, 1053, 4240, 1144, 13, 13, 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src/fund/analyzer/tf/softmax.py	krizex/fund	3	161054	<reponame>krizex/fund #!/usr/bin/env python # -- coding: utf-8 -- import os import tensorflow as tf from fund.log.logger import log __author__ = '<NAME>' """ Created on 07/03/2017 @author: <NAME> """ # http://www.shareditor.com/blogshow/?blogId=94 class SoftmaxTrainer(object): def __init__(self, feature_count, label_count, learning_rate, iterate_count): self.x = tf.placeholder(tf.float32, [None, feature_count]) self.W = tf.Variable(tf.zeros([feature_count, label_count]), name='W') self.b = tf.Variable(tf.zeros([label_count]), name='b') self.y = tf.nn.softmax(tf.matmul(self.x, self.W) + self.b) self.y_ = tf.placeholder(tf.float32, [None, label_count]) # We should use `tf.reduce_mean` so learning rate could be independent with batch size self.cross_entropy = -tf.reduce_mean(self.y_ * tf.log(tf.clip_by_value(self.y, 1e-10, 1.0))) self.train_step = tf.train.GradientDescentOptimizer(learning_rate).minimize(self.cross_entropy) self.iterate_count = iterate_count self.session = tf.InteractiveSession() def train(self, training_pairs, verify_pairs): self.session.run(tf.global_variables_initializer()) xs = [p[0] for p in training_pairs] ys = [p[1] for p in training_pairs] recognize_accuracy = 0.0 for i in range(self.iterate_count): self.session.run(self.train_step, feed_dict={self.x: xs, self.y_: ys}) # cost = self.session.run(self.cross_entropy, feed_dict={self.x: xs, self.y_: ys}) # print 'Cost: %f' % cost correct_prediction = tf.equal(tf.argmax(self.y, 1), tf.argmax(self.y_, 1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, "float")) recognize_accuracy = accuracy.eval(feed_dict={ self.x: [p[0] for p in verify_pairs], self.y_: [p[1] for p in verify_pairs], }) log.debug('(%d)Recognize accuracy is %f' % (i, recognize_accuracy)) log.debug('Recognize accuracy is %f' % recognize_accuracy) return recognize_accuracy def save(self, filename): saver = tf.train.Saver() saver.save(self.session, filename) print 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backend/model/views.py	princesinghtomar/BTP	0	31056	<filename>backend/model/views.py from django.shortcuts import render from django.views.decorators.csrf import csrf_exempt from rest_framework.parsers import JSONParser from django.http.response import JsonResponse import base64 from numpy import random # Create your views here. @csrf_exempt def algo(req): if req.method == "POST": data = JSONParser().parse(req) audioData = base64.b64decode(data["audioData"][22:].encode('ascii')) prob = random.uniform(0, 1) if prob > 0.5: return JsonResponse({"output": "Nice!!", "feedback": "This is pos feedback"}) else: return JsonResponse({"output": "Oh No!!", "feedback": "This is neg feedback"})	[ 1, 529, 9507, 29958, 27852, 29914, 4299, 29914, 7406, 29889, 2272, 13, 3166, 9557, 29889, 12759, 7582, 29879, 1053, 4050, 13, 3166, 9557, 29889, 7406, 29889, 19557, 4097, 29889, 2395, 9600, 1053, 5939, 9600, 29918, 735, 3456, 13, 3166, 1791, 29918, 4468, 29889, 862, 4253, 1053, 4663, 11726, 13, 3166, 9557, 29889, 1124, 29889, 5327, 1053, 14355, 5103, 13, 5215, 2967, 29953, 29946, 13, 3166, 12655, 1053, 4036, 13, 13, 29937, 6204, 596, 8386, 1244, 29889, 13, 29992, 2395, 9600, 29918, 735, 3456, 13, 1753, 24673, 29898, 7971, 1125, 13, 1678, 565, 12428, 29889, 5696, 1275, 376, 5438, 1115, 13, 4706, 848, 353, 4663, 11726, 2141, 5510, 29898, 7971, 29897, 13, 4706, 10348, 1469, 353, 2967, 29953, 29946, 29889, 29890, 29953, 29946, 13808, 29898, 1272, 3366, 18494, 1469, 3108, 29961, 29906, 29906, 29901, 1822, 12508, 877, 294, 18869, 8785, 13, 4706, 2070, 353, 4036, 29889, 29590, 29898, 29900, 29892, 29871, 29896, 29897, 13, 4706, 565, 2070, 1405, 29871, 29900, 29889, 29945, 29901, 13, 9651, 736, 14355, 5103, 3319, 29908, 4905, 1115, 376, 29940, 625, 6824, 613, 376, 18798, 1627, 1115, 376, 4013, 338, 926, 16705, 29908, 1800, 13, 4706, 1683, 29901, 13, 9651, 736, 14355, 5103, 3319, 29908, 4905, 1115, 376, 9048, 1939, 6824, 613, 376, 18798, 1627, 1115, 376, 4013, 338, 3480, 16705, 29908, 1800, 13, 2 ]
sem1/lab3_3/lsm.py	NetherQuartz/NumericalMethodsLabs	1	49482	"""ЛР 3.3, <NAME>, М8О-303Б-18""" import numpy as np import fire # CLI import matplotlib.pyplot as plt from sem1.lab1_1.gauss import lu_decomposition, lu_solve def f(coeffs, x): """Вычисление значения полинома с коэффициентами coeffs""" return sum([x ** i * c for i, c in enumerate(coeffs)]) def sum_squared_errors(f, y): """Сумма квадратов ошибок""" return sum((f_i - y_i) 2 for f_i, y_i in zip(f, y)) def lsm(x, y, n): """Подбор коэффициентов полинома степени n с помощью МНК""" N = len(x) mat = [[sum([x_j (i + j) for x_j in x]) for i in range(n + 1)] for j in range(n + 1)] mat[0][0] = N + 1 b = [sum([x_j ** i * y_j for x_j, y_j in zip(x, y)]) for i in range(n + 1)] mat = np.array(mat) b = np.array(b) p, l, u = lu_decomposition(mat) b = b @ p coeffs = lu_solve(l, u, b) return coeffs def main(): """Аппроксимация таблично заданной функции многочленами 1-й и 2-й степеней с помощью МНК""" init_dict = { "x": [-3.0, -2.0, -1.0, 0.0, 1.0, 2.0], "y": [0.04979, 0.13534, 0.36788, 1.0, 2.7183, 7.3891] } x, y = init_dict["x"], init_dict["y"] xc = np.arange(min(x) - 1, max(x) + 1, .01) c1 = lsm(x, y, 1) y1 = f(c1, xc) c2 = lsm(x, y, 2) y2 = f(c2, xc) plt.plot(x, y, "o", label="Входные данные") plt.plot(xc, y1, label="Полином первой степени") plt.plot(xc, y2, label="Полином второй степени") plt.title("Аппроксимация МНК") plt.grid(True) plt.legend() plt.savefig("plot.jpg", dpi=300) plt.show() e1 = sum_squared_errors(lsm(x, y, 1), y) e2 = sum_squared_errors(lsm(x, y, 2), y) print("Сумма квадратов ошибок:") print("\tn = 1:", e1) print("\tn = 2:", e2) print("\nАппроксимирующие функции:") xs = ["", "x", "x^2"] for c, n in zip([c1, c2], [1, 2]): print(f"\tn = {n}:", " + ".join([f"{v:.6f}{x}" for v, x in zip(c, xs)])) if __name__ == "__main__": fire.Fire(main)	[ 1, 9995, 30050, 30027, 29871, 29941, 29889, 29941, 29892, 529, 5813, 10202, 1142, 29947, 30038, 29899, 29941, 29900, 29941, 30031, 29899, 29896, 29947, 15945, 29908, 13, 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src/collectors/interrupt/interrupt.py	fasrc/Diamond	0	173390	<gh_stars>0 # coding=utf-8 """ The InterruptCollector class collects metrics on interrupts from /proc/interrupts #### Dependencies * /proc/interrupts """ import platform import os import diamond.collector from diamond.pycompat import long # Detect the architecture of the system # and set the counters for MAX_VALUES # appropriately. Otherwise, rolling over # counters will cause incorrect or # negative values. if platform.architecture()[0] == '64bit': counter = (2 64) - 1 else: counter = (2 32) - 1 class InterruptCollector(diamond.collector.Collector): PROC = '/proc/interrupts' def get_default_config_help(self): config_help = super(InterruptCollector, self).get_default_config_help() config_help.update({ }) return config_help def get_default_config(self): """ Returns the default collector settings """ config = super(InterruptCollector, self).get_default_config() config.update({ 'path': 'interrupts' }) return config def collect(self): """ Collect interrupt data """ if not os.access(self.PROC, os.R_OK): return False # Open PROC file file = open(self.PROC, 'r') # Get data cpuCount = None for line in file: if not cpuCount: cpuCount = len(line.split()) else: data = line.strip().split(None, cpuCount + 2) data[0] = data[0].replace(':', '') if len(data) == 2: metric_name = data[0] metric_value = data[1] self.publish(metric_name, self.derivative(metric_name, long(metric_value), counter)) else: if len(data[0]) == cpuCount + 1: metric_name = data[0] + '.' elif len(data[0]) == 3: metric_name = ( ((data[-2] + ' ' + data[-1]).replace(' ', '_')) + '.') else: metric_name = ( ((data[-2]).replace(' ', '_')) + '.' + ((data[-1]).replace(', ', '-').replace(' ', '_')) + '.' + data[0] + '.') total = 0 for index, value in enumerate(data): if index == 0 or index >= cpuCount + 1: continue metric_name_node = metric_name + 'CPU' + str(index - 1) value = int(self.derivative(metric_name_node, long(value), counter)) total += value self.publish(metric_name_node, value) # Roll up value metric_name_node = metric_name + 'total' self.publish(metric_name_node, total) # Close file file.close()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 14137, 29922, 9420, 29899, 29947, 13, 13, 15945, 29908, 13, 1576, 4124, 6685, 28916, 272, 770, 6314, 29879, 21556, 373, 23754, 29879, 515, 13, 29914, 15439, 29914, 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pytype/pyi/parse_pyi.py	CyberFlameGO/pytype	0	21237	# python3 """Testing code to run the typed_ast based pyi parser.""" import sys from pytype import module_utils from pytype.pyi import parser from pytype.pyi.types import ParseError # pylint: disable=g-importing-member from pytype.pytd import pytd_utils if __name__ == '__main__': filename = sys.argv[1] with open(filename, 'r') as f: src = f.read() module_name = module_utils.path_to_module_name(filename) version = (3, 6) try: out, _ = parser.parse_pyi_debug( src, filename, module_name, version, None) except ParseError as e: print(e) sys.exit(1) print('------pytd--------------') print(out) print('------round trip--------------') print(pytd_utils.Print(out))	[ 1, 396, 3017, 29941, 13, 13, 15945, 29908, 3057, 292, 775, 304, 1065, 278, 13033, 29918, 579, 2729, 11451, 29875, 13812, 1213, 15945, 13, 13, 5215, 10876, 13, 13, 3166, 11451, 1853, 1053, 3883, 29918, 13239, 13, 3166, 11451, 1853, 29889, 2272, 29875, 1053, 13812, 13, 3166, 11451, 1853, 29889, 2272, 29875, 29889, 8768, 1053, 20969, 2392, 29871, 396, 282, 2904, 524, 29901, 11262, 29922, 29887, 29899, 5215, 292, 29899, 14242, 13, 3166, 11451, 1853, 29889, 2272, 1594, 1053, 11451, 1594, 29918, 13239, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 29871, 10422, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 29871, 411, 1722, 29898, 9507, 29892, 525, 29878, 1495, 408, 285, 29901, 13, 1678, 4765, 353, 285, 29889, 949, 580, 13, 13, 29871, 3883, 29918, 978, 353, 3883, 29918, 13239, 29889, 2084, 29918, 517, 29918, 5453, 29918, 978, 29898, 9507, 29897, 13, 13, 29871, 1873, 353, 313, 29941, 29892, 29871, 29953, 29897, 13, 29871, 1018, 29901, 13, 1678, 714, 29892, 903, 353, 13812, 29889, 5510, 29918, 2272, 29875, 29918, 8382, 29898, 13, 4706, 4765, 29892, 10422, 29892, 3883, 29918, 978, 29892, 1873, 29892, 6213, 29897, 13, 29871, 5174, 20969, 2392, 408, 321, 29901, 13, 1678, 1596, 29898, 29872, 29897, 13, 1678, 10876, 29889, 13322, 29898, 29896, 29897, 13, 13, 29871, 1596, 877, 22158, 2272, 1594, 9072, 489, 1495, 13, 29871, 1596, 29898, 449, 29897, 13, 13, 29871, 1596, 877, 22158, 14486, 17487, 9072, 489, 1495, 13, 29871, 1596, 29898, 2272, 1594, 29918, 13239, 29889, 11816, 29898, 449, 876, 13, 2 ]
conans/test/functional/conanfile/deploy_import_file_permission_test.py	laundry-96/conan	2	92742	<filename>conans/test/functional/conanfile/deploy_import_file_permission_test.py<gh_stars>1-10 import os import stat import unittest from conans.test.utils.tools import TestClient class DeployImportFilePermissionTest(unittest.TestCase): def setUp(self): self.file_name = 'myheader.h' def _client(self, ro_file, ro_cache): client = TestClient() if ro_cache: client.run("config set general.read_only_cache=True") with client.chdir('recipe'): conanfile = """from conans import ConanFile class MyPkg(ConanFile): exports_sources = ".h" def package(self): self.copy(".h") def deploy(self): self.copy(".h") """ client.save({"conanfile.py": conanfile, self.file_name: "my header"}) os.chmod(os.path.join(client.current_folder, self.file_name), 0o444 if ro_file else 0o644) client.run("create . Pkg/0.1@lasote/channel") return client def _import(self, client): conanfile = """[requires] Pkg/0.1@lasote/channel [imports] ., .h -> . """ client.save({'conanfile.txt': conanfile}) with client.chdir('import'): client.run('install ..') def _deploy(self, client): with client.chdir('deploy'): client.run('install Pkg/0.1@lasote/channel') def _is_file_writable(self, client, folder): return bool(os.stat(os.path.join(client.current_folder, folder, self.file_name)).st_mode & stat.S_IWRITE) def import_rw_file_rw_cache_test(self): client = self._client(ro_file=False, ro_cache=False) self._import(client) self.assertTrue(self._is_file_writable(client, 'import')) def import_ro_file_rw_cache_test(self): client = self._client(ro_file=True, ro_cache=False) self._import(client) self.assertFalse(self._is_file_writable(client, 'import')) def import_rw_file_ro_cache_test(self): client = self._client(ro_file=False, ro_cache=True) self._import(client) self.assertTrue(self._is_file_writable(client, 'import')) def import_ro_file_ro_cache_test(self): client = self._client(ro_file=True, ro_cache=True) self._import(client) self.assertTrue(self._is_file_writable(client, 'import')) def deploy_rw_file_rw_cache_test(self): client = self._client(ro_file=False, ro_cache=False) self._deploy(client) self.assertTrue(self._is_file_writable(client, 'deploy')) def deploy_ro_file_rw_cache_test(self): client = self._client(ro_file=True, ro_cache=False) self._deploy(client) self.assertFalse(self._is_file_writable(client, 'deploy')) def deploy_rw_file_ro_cache_test(self): client = self._client(ro_file=False, ro_cache=True) self._deploy(client) self.assertTrue(self._is_file_writable(client, 'deploy')) def deploy_ro_file_ro_cache_test(self): client = self._client(ro_file=True, ro_cache=True) self._deploy(client) self.assertTrue(self._is_file_writable(client, 'deploy'))	[ 1, 529, 9507, 29958, 535, 550, 29914, 1688, 29914, 2220, 284, 29914, 535, 273, 1445, 29914, 16519, 29918, 5215, 29918, 1445, 29918, 16074, 29918, 1688, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 2897, 13, 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cartoonify.py	adl1995/image-processing-filters	0	10700	<filename>cartoonify.py #!/usr/bin/env python __author__ = "<NAME>" __email__ = "<EMAIL>" __status__ = "Production" import matplotlib.pyplot as plt import numpy as np import skimage as ski import Image def cartoonify(im, display=False): """ function receives an image and add its gradient magnitude in it and add it to the original image to return a semi-cartoon image. Note: You will have to scale the gradient-magnitue image before adding it back to the input image. Input: im: input image to cartoonify display: whether to display image or not... NOTE: This function expects a gaussian filtered image """ kernel, kern_size = np.array([[-1,-1,-1] ,[0,0,0] ,[1,1,1]]), 3 gx, gy = np.zeros_like(im, dtype=float), np.zeros_like(im, dtype=float) for i in range(im.shape[0] - (kern_size-1)): for j in range(im.shape[1] - (kern_size-1)): window = im[i:i + kern_size, j:j + kern_size] gx[i,j], gy[i,j] = np.sum(window * kernel.T), np.sum(window * kernel) magnitude = np.sqrt(gx2 + gy2) magnitude = magnitude.astype(np.int64, copy=False) cartoon = im + (im + magnitude) if display == 1: plt.imshow(cartoon, cmap='gray') plt.suptitle('Cartoon') plt.show() return cartoon	[ 1, 529, 9507, 29958, 13823, 6150, 1598, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 13, 1649, 8921, 1649, 353, 9872, 5813, 11903, 13, 1649, 5269, 1649, 353, 9872, 26862, 6227, 11903, 13, 1649, 4882, 1649, 353, 376, 23665, 428, 29908, 13, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 5215, 12655, 408, 7442, 13, 5215, 2071, 3027, 408, 14993, 13, 5215, 7084, 13, 13, 1753, 7774, 6150, 1598, 29898, 326, 29892, 2479, 29922, 8824, 1125, 13, 12, 15945, 29908, 13, 12, 740, 20586, 385, 1967, 322, 788, 967, 16030, 18497, 297, 372, 322, 788, 372, 13, 12, 304, 278, 2441, 1967, 304, 736, 263, 12647, 29899, 13823, 6150, 1967, 29889, 13, 13, 12, 3940, 29901, 887, 674, 505, 29871, 304, 6287, 278, 16030, 29899, 29885, 4211, 277, 434, 1967, 13, 12, 1434, 4417, 372, 1250, 304, 278, 1881, 1967, 29889, 13, 13, 12, 10567, 29901, 13, 12, 1678, 527, 29901, 1881, 1967, 304, 7774, 6150, 1598, 13, 12, 1678, 2479, 29901, 3692, 304, 2479, 1967, 470, 451, 856, 13, 13, 12, 1678, 6058, 29923, 29901, 910, 740, 23347, 263, 330, 17019, 22289, 1967, 13, 12, 15945, 29908, 13, 13, 12, 17460, 29892, 413, 824, 29918, 2311, 353, 7442, 29889, 2378, 4197, 14352, 29896, 6653, 29896, 6653, 29896, 29962, 1919, 29961, 29900, 29892, 29900, 29892, 29900, 29962, 1919, 29961, 29896, 29892, 29896, 29892, 29896, 5262, 511, 29871, 29941, 13, 12, 29887, 29916, 29892, 10966, 353, 7442, 29889, 3298, 359, 29918, 4561, 29898, 326, 29892, 26688, 29922, 7411, 511, 7442, 29889, 3298, 359, 29918, 4561, 29898, 326, 29892, 26688, 29922, 7411, 29897, 13, 13, 12, 1454, 474, 297, 3464, 29898, 326, 29889, 12181, 29961, 29900, 29962, 448, 313, 22178, 29918, 2311, 29899, 29896, 22164, 13, 12, 12, 1454, 432, 297, 3464, 29898, 326, 29889, 12181, 29961, 29896, 29962, 448, 313, 22178, 29918, 2311, 29899, 29896, 22164, 13, 12, 12, 12, 7165, 353, 527, 29961, 29875, 29901, 29875, 718, 413, 824, 29918, 2311, 29892, 432, 29901, 29926, 718, 413, 824, 29918, 2311, 29962, 29871, 13, 12, 12, 12, 29887, 29916, 29961, 29875, 29892, 29926, 1402, 10966, 29961, 29875, 29892, 29926, 29962, 353, 7442, 29889, 2083, 29898, 7165, 334, 8466, 29889, 29911, 511, 7442, 29889, 2083, 29898, 7165, 334, 8466, 29897, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 12, 29885, 4211, 4279, 353, 7442, 29889, 3676, 29898, 29887, 29916, 1068, 29906, 718, 10966, 1068, 29906, 29897, 13, 12, 29885, 4211, 4279, 353, 18497, 29889, 579, 668, 29898, 9302, 29889, 524, 29953, 29946, 29892, 3509, 29922, 8824, 29897, 13, 13, 12, 13823, 6150, 353, 527, 718, 313, 326, 718, 18497, 29897, 13, 13, 12, 361, 2479, 1275, 29871, 29896, 29901, 13, 12, 12, 572, 29873, 29889, 326, 4294, 29898, 13823, 6150, 29892, 274, 1958, 2433, 21012, 1495, 13, 12, 12, 572, 29873, 29889, 2146, 415, 1740, 877, 25233, 6150, 1495, 13, 12, 12, 572, 29873, 29889, 4294, 580, 13, 12, 2457, 7774, 6150, 13, 2 ]
chip8_pygame_integration/config_test.py	Artoooooor/chip8	0	21468	import unittest import pygame from chip8_pygame_integration.config import get_config, KeyBind, to_text DEFAULT = [KeyBind(pygame.K_o, pygame.KMOD_CTRL, 'some_command')] class ConfigLoadTest(unittest.TestCase): def setUp(self): self.default = None def test_empty_pattern_returns_empty_array(self): self.assertEqual([], get_config((), [])) def test_single_command_pattern_parses_single_key(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['A']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1')]) def test_two_command_pattern_parses_2_keys(self): self.when_pattern_is((('comm1', 'comm2',),)) self.when_lines_are(['A D']) self.expect_config([ KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1'), KeyBind(pygame.K_d, pygame.KMOD_NONE, 'comm2')]) def test_2_lines_pattern_parses_2_lines(self): self.when_pattern_is((('comm1',), ('comm2',))) self.when_lines_are(['A', 'D']) self.expect_config([ KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1'), KeyBind(pygame.K_d, pygame.KMOD_NONE, 'comm2')]) def test_too_little_elements_in_line_return_default(self): self.when_pattern_is((('comm1', 'comm2'),)) self.when_lines_are(['A']) self.when_default_is(DEFAULT) self.expect_config(DEFAULT) def test_ctrl_is_parsed_as_KMOD_CTRL(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['ctrl+A']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_CTRL, 'comm1')]) def test_two_modifiers_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['ctrl+lshift+A']) kmods = pygame.KMOD_CTRL \| pygame.KMOD_LSHIFT self.expect_config([KeyBind(pygame.K_a, kmods, 'comm1')]) def test_lowercase_keys_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['a']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1')]) def test_lowercase_special_keys_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['space']) self.expect_config( [KeyBind(pygame.K_SPACE, pygame.KMOD_NONE, 'comm1')]) def test_uppercase_modifiers_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['LCTRL+A']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_LCTRL, 'comm1')]) def test_invalid_key_results_in_default(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['F42']) self.when_default_is(DEFAULT) self.expect_config(DEFAULT) def when_pattern_is(self, pattern): self.pattern = pattern def when_lines_are(self, lines): self.lines = lines def when_default_is(self, default): self.default = default def expect_config(self, config): result = get_config(self.pattern, self.lines, self.default) self.assertEqual(config, result) class ConfigSaveTest(unittest.TestCase): def test_empty_pattern_generates_empty_file(self): self.assertEqual([], to_text((), [])) def test_one_command_generates_1_line(self): self.when_pattern_is((('comm1',),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1')]) self.expect_generated_text(['a']) def test_two_commands_generate_line_with_2_elements(self): self.when_pattern_is((('comm1', 'comm2'),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1'), KeyBind(pygame.K_b, pygame.KMOD_NONE, 'comm2')]) self.expect_generated_text(['a b']) def test_commands_are_generated_in_order_of_pattern(self): self.when_pattern_is((('comm1', 'comm2'),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm2'), KeyBind(pygame.K_b, pygame.KMOD_NONE, 'comm1')]) self.expect_generated_text(['b a']) def test_two_lines_generate_2_lines_(self): self.when_pattern_is((('comm1',), ('comm2',),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm2'), KeyBind(pygame.K_b, pygame.KMOD_NONE, 'comm1')]) self.expect_generated_text(['b', 'a']) def test_KMOD_CTRL_generates_output(self): self.expect_3_mod_versions_handled('ctrl') def test_KMOD_SHIFT_generates_output(self): self.expect_3_mod_versions_handled('shift') def test_KMOD_ALT_generates_output(self): self.expect_3_mod_versions_handled('alt') def test_KMOD_META_generates_output(self): self.expect_3_mod_versions_handled('meta') def test_KMOD_CAPS_generates_output(self): self.expect_mod_handled('caps') def test_KMOD_NUM_generates_output(self): self.expect_mod_handled('num') def test_KMOD_MODE_generates_output(self): self.expect_mod_handled('mode') def expect_3_mod_versions_handled(self, baseModName): self.expect_mod_handled(baseModName) self.expect_mod_handled('l' + baseModName) self.expect_mod_handled('r' + baseModName) def expect_mod_handled(self, modName): self.when_pattern_is((('comm1',),)) fieldName = 'KMOD_' + modName.upper() mod = getattr(pygame, fieldName) self.when_config_is([KeyBind(pygame.K_a, mod, 'comm1')]) expected = '{}+a'.format(modName) self.expect_generated_text([expected]) def when_pattern_is(self, pattern): self.pattern = pattern def when_config_is(self, config): self.config = config def expect_generated_text(self, text): text 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app_djangoparser/views.py	mynameismaz/DjangoParser	0	156006	<gh_stars>0 from django.shortcuts import render from django.http import HttpResponse, HttpResponseRedirect import re import string import operator def index_page(request): if request.method == 'POST': f = request.FILES['sentFile'] with open(f.name, 'w'): file_content = f.read().decode('latin-1') file_content = "<pre class='content-file'>" + file_content + "</pre><br><br>" # Character count alphabet_count = { i: file_content.count(i) for i in list(string.ascii_lowercase) } sorted_alphabet_count = sorted(alphabet_count.items(), key=operator.itemgetter(1)) character_count = "<b>CHARACTERS</b><br>" for i in sorted_alphabet_count[::-1]: character_count += f"{i[0]}: {i[1]}<br>" new = re.sub('[\w]+' ,'', file_content) character_count += f"<br><b>Special Characters</b>: {len(new)}" return render(request, "index.html", { 'file_name': f.name, 'file_content': file_content, 'character_count': character_count }) else: return render(request, "index.html")	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 3166, 9557, 29889, 12759, 7582, 29879, 1053, 4050, 13, 3166, 9557, 29889, 1124, 1053, 9056, 5103, 29892, 9056, 5103, 24735, 13, 5215, 337, 13, 5215, 1347, 13, 5215, 5455, 13, 13, 1753, 2380, 29918, 3488, 29898, 3827, 1125, 13, 1678, 565, 2009, 29889, 5696, 1275, 525, 5438, 2396, 13, 4706, 285, 353, 2009, 29889, 24483, 1839, 18616, 2283, 2033, 13, 13, 4706, 411, 1722, 29898, 29888, 29889, 978, 29892, 525, 29893, 29374, 13, 9651, 934, 29918, 3051, 353, 285, 29889, 949, 2141, 13808, 877, 5066, 262, 29899, 29896, 1495, 13, 13, 4706, 934, 29918, 3051, 353, 9872, 1457, 770, 2433, 3051, 29899, 1445, 11041, 29908, 718, 934, 29918, 3051, 718, 25225, 1457, 5299, 1182, 5299, 1182, 11903, 13, 13, 4706, 396, 26804, 2302, 13, 4706, 22968, 29918, 2798, 353, 426, 474, 29901, 934, 29918, 3051, 29889, 2798, 29898, 29875, 29897, 363, 474, 297, 1051, 29898, 1807, 29889, 294, 18869, 29918, 13609, 4878, 29897, 500, 13, 4706, 12705, 29918, 284, 17416, 29918, 2798, 353, 12705, 29898, 284, 17416, 29918, 2798, 29889, 7076, 3285, 1820, 29922, 6891, 29889, 667, 657, 357, 29898, 29896, 876, 13, 4706, 2931, 29918, 2798, 353, 9872, 29890, 29958, 11282, 17923, 23598, 829, 29890, 5299, 1182, 11903, 13, 4706, 363, 474, 297, 12705, 29918, 284, 17416, 29918, 2798, 29961, 1057, 29899, 29896, 5387, 13, 9651, 2931, 29918, 2798, 4619, 285, 29908, 29912, 29875, 29961, 29900, 29962, 6177, 426, 29875, 29961, 29896, 12258, 29966, 1182, 11903, 13, 13, 4706, 716, 353, 337, 29889, 1491, 877, 7110, 29893, 10062, 29915, 1919, 29915, 742, 934, 29918, 3051, 29897, 13, 4706, 2931, 29918, 2798, 4619, 285, 29908, 29966, 1182, 5299, 29890, 29958, 24780, 2896, 21706, 829, 29890, 23917, 426, 2435, 29898, 1482, 2915, 29908, 13, 13, 4706, 736, 4050, 29898, 3827, 29892, 376, 2248, 29889, 1420, 613, 426, 29871, 13, 9651, 525, 1445, 29918, 978, 2396, 285, 29889, 978, 29892, 29871, 13, 9651, 525, 1445, 29918, 3051, 2396, 934, 29918, 3051, 29892, 13, 9651, 525, 18609, 29918, 2798, 2396, 2931, 29918, 2798, 13, 4706, 5615, 13, 1678, 1683, 29901, 13, 4706, 736, 4050, 29898, 3827, 29892, 376, 2248, 29889, 1420, 1159, 2 ]
eyesore/decision_graph/compacting/_0_decision_node_compacter.py	twizmwazin/hacrs	2	125380	<filename>eyesore/decision_graph/compacting/_0_decision_node_compacter.py from .. import SuccessorsNode, SuccessorNode, DecisionNode, DecisionNotTakenNode from ..visitor import Visitor class DecisionNodeCompacter(Visitor): def _visit_successors_node(self, node, results): """ :param node: :type node: SuccessorsNode :return: """ sat_succs = [compact_succ for succ in node.sat_succs for compact_succ in results[succ]] if len(node.taken_constraints) == 0: return sat_succs unsat_succs = [compact_succ for succ in node.unsat_succs for compact_succ in results[succ]] return [DecisionNode(sat_succs, unsat_succs, taken_constraints=node.taken_constraints)] def _visit_successor_node(self, node, replacements): """ :param node: :type node: SuccessorNode :return: """ if node.satisfiable: if node.successor is not None: return replacements[node.successor] else: return [node] else: return [DecisionNotTakenNode([node.fresh_constraints], node.address, reachable_string_refs=node.reachable_string_refs)]	[ 1, 529, 9507, 29958, 1032, 267, 487, 29914, 7099, 2459, 29918, 4262, 29914, 2388, 627, 292, 19891, 29900, 29918, 7099, 2459, 29918, 3177, 29918, 2388, 5761, 29889, 2272, 13, 3166, 6317, 1053, 21397, 943, 4247, 29892, 21397, 272, 4247, 29892, 3826, 2459, 4247, 29892, 3826, 2459, 3664, 29911, 9424, 4247, 13, 3166, 6317, 1730, 2105, 1053, 5741, 2105, 13, 13, 13, 1990, 3826, 2459, 4247, 6843, 5761, 29898, 6116, 2105, 1125, 13, 1678, 822, 903, 1730, 277, 29918, 8698, 943, 29918, 3177, 29898, 1311, 29892, 2943, 29892, 2582, 1125, 13, 4706, 9995, 13, 13, 4706, 584, 3207, 2943, 29901, 13, 4706, 584, 1853, 2943, 29901, 21397, 943, 4247, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 4706, 3290, 29918, 2146, 617, 29879, 353, 518, 2388, 627, 29918, 2146, 617, 363, 8348, 297, 2943, 29889, 29879, 271, 29918, 2146, 617, 29879, 363, 11071, 29918, 2146, 617, 297, 2582, 29961, 2146, 617, 5262, 13, 4706, 565, 7431, 29898, 3177, 29889, 29873, 9424, 29918, 13646, 29879, 29897, 1275, 29871, 29900, 29901, 13, 9651, 736, 3290, 29918, 2146, 617, 29879, 13, 13, 4706, 9644, 271, 29918, 2146, 617, 29879, 353, 518, 2388, 627, 29918, 2146, 617, 363, 8348, 297, 2943, 29889, 6948, 271, 29918, 2146, 617, 29879, 363, 11071, 29918, 2146, 617, 297, 2582, 29961, 2146, 617, 5262, 13, 4706, 736, 518, 6185, 2459, 4247, 29898, 29879, 271, 29918, 2146, 617, 29879, 29892, 9644, 271, 29918, 2146, 617, 29879, 29892, 4586, 29918, 13646, 29879, 29922, 3177, 29889, 29873, 9424, 29918, 13646, 29879, 4638, 13, 13, 1678, 822, 903, 1730, 277, 29918, 8698, 272, 29918, 3177, 29898, 1311, 29892, 2943, 29892, 1634, 4620, 4110, 1125, 13, 4706, 9995, 13, 13, 4706, 584, 3207, 2943, 29901, 13, 4706, 584, 1853, 2943, 29901, 21397, 272, 4247, 13, 4706, 584, 2457, 29901, 13, 4706, 9995, 13, 13, 4706, 565, 2943, 29889, 29879, 27685, 29875, 519, 29901, 13, 9651, 565, 2943, 29889, 8698, 272, 338, 451, 6213, 29901, 13, 18884, 736, 1634, 4620, 4110, 29961, 3177, 29889, 8698, 272, 29962, 13, 9651, 1683, 29901, 13, 18884, 736, 518, 3177, 29962, 13, 4706, 1683, 29901, 13, 9651, 736, 518, 6185, 2459, 3664, 29911, 9424, 4247, 4197, 3177, 29889, 29888, 3781, 29918, 13646, 29879, 1402, 2943, 29889, 7328, 29892, 13, 462, 462, 308, 6159, 519, 29918, 1807, 29918, 24539, 29922, 3177, 29889, 276, 496, 519, 29918, 1807, 29918, 24539, 4638, 13, 2 ]
utils/prepare_bcp.py	smeea/krcg-static	0	45072	"""A convenience function to rename BCP images """ import os import re from krcg.parser import _CLAN def prepare_bcp(path): for (dirpath, _dirnames, filenames) in os.walk(path): for name in filenames: clan_prefix = re.match(r"({})_".format(_CLAN), name.lower()) if clan_prefix: os.rename( os.path.join(dirpath, name), os.path.join(dirpath, name[clan_prefix.end(0) :]), )	[ 1, 9995, 29909, 29703, 740, 304, 19508, 350, 6271, 4558, 13, 15945, 29908, 13, 5215, 2897, 13, 5215, 337, 13, 13, 3166, 413, 2214, 29887, 29889, 16680, 1053, 903, 6154, 2190, 13, 13, 13, 1753, 19012, 29918, 29890, 6814, 29898, 2084, 1125, 13, 1678, 363, 313, 3972, 2084, 29892, 903, 3972, 7039, 29892, 977, 264, 1280, 29897, 297, 2897, 29889, 20919, 29898, 2084, 1125, 13, 4706, 363, 1024, 297, 977, 264, 1280, 29901, 13, 9651, 1067, 273, 29918, 13506, 353, 337, 29889, 4352, 29898, 29878, 29908, 3319, 1800, 29918, 1642, 4830, 7373, 6154, 2190, 511, 1024, 29889, 13609, 3101, 13, 9651, 565, 1067, 273, 29918, 13506, 29901, 13, 18884, 2897, 29889, 1267, 420, 29898, 13, 462, 1678, 2897, 29889, 2084, 29889, 7122, 29898, 3972, 2084, 29892, 1024, 511, 13, 462, 1678, 2897, 29889, 2084, 29889, 7122, 29898, 3972, 2084, 29892, 1024, 29961, 695, 273, 29918, 13506, 29889, 355, 29898, 29900, 29897, 584, 11724, 13, 18884, 1723, 13, 2 ]
SqueezeNet/SqueezeNet_keras.py	hgrui/DeepLearning_research	0	62028	from __future__ import print_function import os import keras from keras.layers import Dense,Flatten,Conv2D,MaxPooling2D,Activation,Input,Concatenate,Dropout,GlobalAveragePooling2D from keras.models import Model import time from keras.datasets import cifar10 from keras.optimizers import SGD from keras.utils import get_file from keras.preprocessing import image import numpy as np from keras.applications.imagenet_utils import preprocess_input, decode_predictions #SqueezeNet #backend=tf channels_last (rows,cols,channels) def fire_module(input,squeeze_filters,expand_filters): squeeze=Conv2D(squeeze_filters, kernel_size=(1,1), strides=1, padding='same', kernel_initializer='glorot_uniform', data_format='channels_last' )(input) relu_squeeze=Activation('relu')(squeeze) expand1=Conv2D(expand_filters, kernel_size=(1,1), strides=1, padding='same', kernel_initializer='glorot_uniform', data_format='channels_last' )(relu_squeeze) relu_expand1=Activation('relu')(expand1) expand2=Conv2D(expand_filters, kernel_size=(3,3), strides=1, padding='same', kernel_initializer='glorot_uniform', data_format='channels_last' )(relu_squeeze) relu_expand2=Activation('relu')(expand2) merge=Concatenate(axis=3)([relu_expand1,relu_expand2]) output=merge return output def SqueezeNet(input_shape,num_classes,weight=None): input=Input(shape=input_shape) conv_1=Conv2D(96, kernel_size=(7,7), strides=2, padding='same', kernel_initializer='glorot_uniform' )(input) pool_1=MaxPooling2D(pool_size=(3,3), strides=2)(conv_1) fire_2=fire_module(pool_1,16,64) fire_3=fire_module(fire_2,16,64) fire_4=fire_module(fire_3,32,128) pool_4=MaxPooling2D(pool_size=(3,3), strides=2)(fire_4) fire_5=fire_module(pool_4,32,128) fire_6=fire_module(fire_5,48,192) fire_7=fire_module(fire_6,48,192) fire_8=fire_module(fire_7,64,256) pool_8=MaxPooling2D(pool_size=(3,3), strides=2)(fire_8) fire_9=fire_module(pool_8,64,256) drop=Dropout(0.5)(fire_9) conv_10=Conv2D(num_classes, kernel_size=(1,1), strides=1, padding='same', kernel_initializer='glorot_uniform' )(drop) relu_11=Activation('relu')(conv_10) avgpool=GlobalAveragePooling2D()(relu_11) flatten=Flatten()(relu_11) dense=Dense(64)(flatten) relu_dense=Activation('relu')(dense) dense=Dense(2)(relu_dense) softmax1=Activation('softmax')(dense) softmax=Activation('softmax')(avgpool) print(softmax) output=softmax model=Model(input=input,output=output) return model def main(): t0=time.time() batch_size = 32 num_classes = 10 epochs = 20 data_augmentation = True print('start') (x_train, y_train), (x_test, y_test) = cifar10.load_data() print(x_train.shape) x_train_n = np.zeros((x_train.shape[0], 224, 224, 3),dtype = 'float16') x_test_n = np.zeros((x_test.shape[0], 224, 224, 3),dtype = 'float16') for i in range(x_train.shape[0]): if i%5000==0: print(i) data=x_train[i] img=image.array_to_img(data) img2=img.resize((224,224)) data2=image.img_to_array(img2) x_train_n[i,:]=data2 for i in range(x_test.shape[0]): if i%2000==0: print(i) data=x_test[i] img=image.array_to_img(data) img2=img.resize((224,224)) data2=image.img_to_array(img2) x_test_n[i,:]=data2 y_train = keras.utils.to_categorical(y_train, num_classes) y_test = keras.utils.to_categorical(y_test, num_classes) x_train_n /= 255.0 x_test_n /= 255.0 model=SqueezeNet((224,224,3),10) model.summary() print('wow') print(time.time()-t0) sgd=SGD(lr=0.01,decay=0.0002,momentum=0.9) model.compile(optimizer=sgd, loss='categorical_crossentropy', metrics=['accuracy']) model.fit(x_train_n, y_train, batch_size=batch_size, epochs=epochs, validation_data=(x_test_n, y_test), shuffle=True) if __name__=='__main__': main()	[ 1, 515, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 30004, 13, 5215, 2897, 30004, 13, 5215, 13023, 294, 30004, 13, 3166, 13023, 294, 29889, 29277, 1053, 360, 1947, 29892, 29943, 5066, 841, 29892, 1168, 29894, 29906, 29928, 29892, 7976, 11426, 292, 29906, 29928, 29892, 21786, 362, 29892, 4290, 29892, 1168, 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test/test_io_base.py	dan-win/fairways_py	0	160351	import unittest import unittest.mock def setUpModule(): pass def tearDownModule(): pass class MockDriver: MAX_CONN = 5 LAST_ID = 0 @classmethod def reset(cls): cls.LAST_ID = 0 def __init__(self, env_varname): self.__class__.LAST_ID = self.__class__.LAST_ID + 1 self.id = self.__class__.LAST_ID self.env_varname = env_varname def __str__(self): return f'Connection {self.id}' class ConnectionPoolTestCase(unittest.TestCase): @classmethod def setUpClass(cls): from fairways.ci import helpers cls.helpers = helpers from fairways.io.generic import base cls.base = base import re import os, sys cls.re = re cls.os = os root = helpers.getLogger() @classmethod def tearDownClass(cls): MockDriver.reset() def tearDown(self): MockDriver.reset() def test_pool_not_filled(self): """ """ ConnectionPool = self.base.ConnectionPool env_varname = "env_conn_str" # # @decorators.asyncmethod.io_task # async def test(ctx, dba=None): # await dba.CREATE_TABLE.execute() # await dba.INSERT_DATA.execute() # result = await dba.SELECT_DATA.get_records() # return result # with unittest.mock.patch.dict('os.environ', {db_alias: self.db_test_file}, clear=True): # # result = test(ctx) # result = self.helpers.run_asyn(AsyncLoop.run()) trace = [] for i in range(1, MockDriver.MAX_CONN + 2): conn = ConnectionPool.select(MockDriver, env_varname) trace.append(str(conn)) pool = ConnectionPool._pool.get(env_varname) self.assertEqual(len(pool.connections), MockDriver.MAX_CONN) self.assertListEqual(trace, [ 'Connection 1', 'Connection 2', 'Connection 3', 'Connection 4', 'Connection 5', 'Connection 1' ])	[ 1, 1053, 443, 27958, 13, 5215, 443, 27958, 29889, 17640, 13, 13, 1753, 731, 3373, 7355, 7295, 13, 1678, 1209, 13, 13, 1753, 734, 279, 6767, 7355, 7295, 13, 1678, 1209, 13, 13, 13, 13, 1990, 26297, 12376, 29901, 13, 1678, 18134, 29918, 6007, 29940, 353, 29871, 29945, 13, 13, 1678, 17900, 1254, 29918, 1367, 353, 29871, 29900, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 10092, 29898, 25932, 1125, 13, 4706, 1067, 29879, 29889, 4375, 1254, 29918, 1367, 353, 29871, 29900, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 8829, 29918, 1707, 978, 1125, 13, 4706, 1583, 17255, 1990, 26914, 4375, 1254, 29918, 1367, 353, 1583, 17255, 1990, 26914, 4375, 1254, 29918, 1367, 718, 29871, 29896, 13, 4706, 1583, 29889, 333, 353, 1583, 17255, 1990, 26914, 4375, 1254, 29918, 1367, 13, 4706, 1583, 29889, 6272, 29918, 1707, 978, 353, 8829, 29918, 1707, 978, 13, 268, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 285, 29915, 5350, 426, 1311, 29889, 333, 10162, 13, 13, 13, 1990, 15160, 11426, 3057, 8259, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 731, 3373, 2385, 29898, 25932, 1125, 13, 4706, 515, 6534, 1994, 29889, 455, 1053, 1371, 414, 13, 4706, 1067, 29879, 29889, 3952, 6774, 353, 1371, 414, 13, 13, 4706, 515, 6534, 1994, 29889, 601, 29889, 19206, 1053, 2967, 29871, 13, 4706, 1067, 29879, 29889, 3188, 353, 2967, 13, 13, 4706, 1053, 337, 13, 4706, 1053, 2897, 29892, 10876, 13, 13, 4706, 1067, 29879, 29889, 276, 353, 337, 13, 4706, 1067, 29879, 29889, 359, 353, 2897, 13, 308, 13, 4706, 3876, 353, 1371, 414, 29889, 657, 16363, 580, 13, 13, 1678, 732, 1990, 5696, 13, 1678, 822, 734, 279, 6767, 2385, 29898, 25932, 1125, 13, 4706, 26297, 12376, 29889, 12071, 580, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 26297, 12376, 29889, 12071, 580, 13, 13, 1678, 822, 1243, 29918, 10109, 29918, 1333, 29918, 26940, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 9995, 13, 4706, 15160, 11426, 353, 1583, 29889, 3188, 29889, 5350, 11426, 13, 4706, 8829, 29918, 1707, 978, 353, 376, 6272, 29918, 13082, 29918, 710, 29908, 13, 13, 4706, 396, 396, 732, 19557, 4097, 29889, 12674, 5696, 29889, 601, 29918, 7662, 13, 4706, 396, 7465, 822, 1243, 29898, 13073, 29892, 270, 2291, 29922, 8516, 1125, 13, 4706, 396, 268, 7272, 270, 2291, 29889, 27045, 29918, 21009, 29889, 7978, 580, 13, 4706, 396, 268, 7272, 270, 2291, 29889, 19460, 29918, 14573, 29889, 7978, 580, 13, 4706, 396, 268, 1121, 353, 7272, 270, 2291, 29889, 6404, 29918, 14573, 29889, 657, 29918, 3757, 4339, 580, 13, 4706, 396, 268, 736, 1121, 13, 268, 13, 4706, 396, 411, 443, 27958, 29889, 17640, 29889, 5041, 29889, 8977, 877, 359, 29889, 21813, 742, 426, 2585, 29918, 19973, 29901, 1583, 29889, 2585, 29918, 1688, 29918, 1445, 1118, 2821, 29922, 5574, 1125, 13, 4706, 396, 268, 396, 1121, 353, 1243, 29898, 13073, 29897, 13, 4706, 396, 1121, 353, 1583, 29889, 3952, 6774, 29889, 3389, 29918, 294, 948, 29898, 8123, 18405, 29889, 3389, 3101, 13, 13, 4706, 9637, 353, 5159, 13, 13, 4706, 363, 474, 297, 3464, 29898, 29896, 29892, 26297, 12376, 29889, 12648, 29918, 6007, 29940, 718, 29871, 29906, 1125, 13, 9651, 11009, 353, 15160, 11426, 29889, 2622, 29898, 18680, 12376, 29892, 8829, 29918, 1707, 978, 29897, 13, 9651, 9637, 29889, 4397, 29898, 710, 29898, 13082, 876, 13, 13, 4706, 11565, 353, 15160, 11426, 3032, 10109, 29889, 657, 29898, 6272, 29918, 1707, 978, 29897, 13, 4706, 1583, 29889, 9294, 9843, 29898, 2435, 29898, 10109, 29889, 11958, 1953, 511, 26297, 12376, 29889, 12648, 29918, 6007, 29940, 29897, 13, 13, 4706, 1583, 29889, 9294, 1293, 9843, 29898, 15003, 29892, 518, 13, 9651, 525, 5350, 29871, 29896, 742, 13, 9651, 525, 5350, 29871, 29906, 742, 13, 9651, 525, 5350, 29871, 29941, 742, 13, 9651, 525, 5350, 29871, 29946, 742, 13, 9651, 525, 5350, 29871, 29945, 742, 13, 9651, 525, 5350, 29871, 29896, 29915, 13, 308, 2314, 13, 13, 2 ]
app/main/util/dto.py	tharindukumara/bert-sentiment-analysis	1	162021	<filename>app/main/util/dto.py<gh_stars>1-10 from flask_restplus import Namespace, fields class SentimentDto: api = Namespace('sentiment', description='sentiment prediction') sentiment = api.model('sentiment', { 'sentence': fields.String(required=True, description='sentence to predict'), })	[ 1, 529, 9507, 29958, 932, 29914, 3396, 29914, 4422, 29914, 29881, 517, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 29784, 29918, 5060, 11242, 1053, 14706, 3535, 29892, 4235, 13, 13, 13, 1990, 28048, 2073, 29928, 517, 29901, 13, 1678, 7882, 353, 14706, 3535, 877, 18616, 2073, 742, 6139, 2433, 18616, 2073, 18988, 1495, 13, 1678, 19688, 353, 7882, 29889, 4299, 877, 18616, 2073, 742, 426, 13, 4706, 525, 18616, 663, 2396, 4235, 29889, 1231, 29898, 12403, 29922, 5574, 29892, 6139, 2433, 18616, 663, 304, 8500, 5477, 13, 1678, 5615, 13, 2 ]
mtp_api/apps/core/tests/test_scheduled_commands.py	ministryofjustice/mtp-api	5	150520	<filename>mtp_api/apps/core/tests/test_scheduled_commands.py import logging from datetime import timedelta from django.core.exceptions import ValidationError from django.test import TestCase from django.test.utils import captured_stdout from django.utils import timezone from mtp_common.test_utils import silence_logger from core.models import ScheduledCommand from core.management.commands import run_scheduled_commands class ScheduledCommandsTestCase(TestCase): def test_command_validation_fails(self): try: command = ScheduledCommand( name='non_existent_command', arg_string='', cron_entry='* * * * ' ) command.clean_fields() self.fail('No ValidationError raised by invalid command') except ValidationError: pass def test_command_validation(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry=' * * * ' ) command.clean_fields() def test_cron_entry_validation_fails(self): try: command = ScheduledCommand( name='load-test_data', arg_string='', cron_entry=' F F * ' ) command.clean_fields() self.fail('No ValidationError raised by invalid cron entry') except ValidationError: pass def test_newly_created_command_is_scheduled(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry=' * * * ' ) command.save() self.assertTrue(timezone.now() - command.next_execution < timedelta(minutes=1)) def test_due_command_is_scheduled(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry='/10 * * * ', next_execution=timezone.now() ) command.save() self.assertTrue(command.is_scheduled()) def test_not_due_command_is_not_scheduled(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry='/10 * * * ', next_execution=timezone.now() + timedelta(minutes=5) ) command.save() self.assertFalse(command.is_scheduled()) def test_command_running(self): command = ScheduledCommand( name='load_test_data', arg_string='--number-of-prisoners 60 --number-of-transactions 70', cron_entry=' * * * ', next_execution=timezone.now() ) command.save() run_commands = run_scheduled_commands.Command() with captured_stdout() as stdout, silence_logger(level=logging.ERROR): run_commands.handle() stdout = stdout.getvalue() self.assertIn('Making test users', stdout) self.assertIn('random credits', stdout) from prison.models import PrisonerLocation self.assertEqual(PrisonerLocation.objects.count(), 60) from transaction.models import Transaction self.assertEqual(Transaction.objects.count(), 70) def test_command_deleted_when_flag_set(self): command = ScheduledCommand( name='load_test_data', arg_string='--number-of-prisoners 60 --number-of-transactions 70', cron_entry=' * * * *', next_execution=timezone.now(), delete_after_next=True ) command.save() run_commands = run_scheduled_commands.Command() with captured_stdout(), silence_logger(level=logging.ERROR): run_commands.handle() self.assertEqual(ScheduledCommand.objects.all().count(), 0)	[ 1, 529, 9507, 29958, 4378, 29886, 29918, 2754, 29914, 13371, 29914, 3221, 29914, 21150, 29914, 1688, 29918, 816, 14989, 29918, 26381, 29889, 2272, 13, 5215, 12183, 13, 3166, 12865, 1053, 5335, 287, 2554, 13, 13, 3166, 9557, 29889, 3221, 29889, 11739, 29879, 1053, 15758, 362, 2392, 13, 3166, 9557, 29889, 1688, 1053, 4321, 8259, 13, 3166, 9557, 29889, 1688, 29889, 13239, 1053, 15468, 29918, 25393, 13, 3166, 9557, 29889, 13239, 1053, 29431, 13, 3166, 286, 9392, 29918, 9435, 29889, 1688, 29918, 13239, 1053, 15142, 29918, 21707, 13, 13, 3166, 7136, 29889, 9794, 1053, 1102, 14989, 6255, 13, 3166, 7136, 29889, 21895, 29889, 26381, 1053, 1065, 29918, 816, 14989, 29918, 26381, 13, 13, 13, 1990, 1102, 14989, 5261, 4167, 3057, 8259, 29898, 3057, 8259, 1125, 13, 1678, 822, 1243, 29918, 6519, 29918, 18157, 29918, 29888, 2234, 29898, 1311, 1125, 13, 4706, 1018, 29901, 13, 9651, 1899, 353, 1102, 14989, 6255, 29898, 13, 18884, 1024, 2433, 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tests/test_auth.py	sergeyberezansky/appr	31	146562	import os.path import yaml from appr.auth import ApprAuth def test_fake_home(fake_home): assert os.path.expanduser("~") == fake_home def test_init_create_dir(fake_home): ApprAuth(".appr") assert os.path.exists(os.path.join(str(fake_home), ".appr")) def test_init_token_empty(fake_home): k = ApprAuth() assert os.path.exists(k.tokenfile) is False def test_get_empty_token(fake_home): k = ApprAuth() assert k.token('') is None assert k.tokens is None def test_delete_empty_token(fake_home): """ Should not fail if there is no token """ k = ApprAuth() assert k.delete_token('') is None def test_delete_token(fake_home): """ Should not fail if there is no token """ k = ApprAuth() k.add_token('', "titid") assert k.token('') == "titid" assert k.delete_token('') == {'scope': {'namespace': '', 'repo': ''}, 'token': 'titid'} assert k.token('') is None def test_create_token_value(fake_home): """ Should not fail if there is no token """ k = ApprAuth() k.add_token('a', "titic") k.add_token('b', "titib") assert k.token('a') == "titic" assert k.token('a') == "titic" assert k.token('c') is None def test_create_token_file(fake_home): k = ApprAuth() k.add_token('a', "titib") assert os.path.exists(k.tokenfile) is True f = open(k.tokenfile, 'r') r = f.read() assert {'auths': {'a': {'scope': {'namespace': '', 'repo': ''}, 'token': 'titib'}}} == yaml.load(r) def test_create_delete_get_token(fake_home): k = ApprAuth() k.add_token('a', "<PASSWORD>") assert k.token('a') == "<PASSWORD>" k.delete_token('a') assert k.token('a') is None def test_get_token_from_file(fake_home): k = ApprAuth() f = open(k.tokenfile, 'w') r = yaml.dump({'auths': {'a': {'scope': {'namespace': '', 'repo': ''}, 'token': '<PASSWORD>'}}}) f.write(r) f.close() k = ApprAuth() assert k.token('a') == "titib" def test_retro_compat(fake_home): k = ApprAuth() f = open(k.tokenfile, 'w') r = yaml.dump({'auths': {'a': 'foo', 'b': 'bar'}}) f.write(r) f.close() k = ApprAuth() f = 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tests/openwisp2/sample_users/models.py	codesankalp/openwisp-ipam	81	163494	from django.contrib.auth.models import Group as AbstractGroup from django.core.validators import RegexValidator from django.db import models from openwisp_users.base.models import ( AbstractUser, BaseGroup, BaseOrganization, BaseOrganizationOwner, BaseOrganizationUser, ) from organizations.abstract import ( AbstractOrganization, AbstractOrganizationOwner, AbstractOrganizationUser, ) class User(AbstractUser): social_security_number = models.CharField( max_length=11, null=True, blank=True, validators=[RegexValidator(r'^\d\d\d-\d\d-\d\d\d\d$')], ) class Meta(AbstractUser.Meta): abstract = False class Organization(BaseOrganization, AbstractOrganization): pass class OrganizationUser(BaseOrganizationUser, AbstractOrganizationUser): pass class OrganizationOwner(BaseOrganizationOwner, AbstractOrganizationOwner): pass class Group(BaseGroup, AbstractGroup): pass	[ 1, 515, 9557, 29889, 21570, 29889, 5150, 29889, 9794, 1053, 6431, 408, 25513, 4782, 13, 3166, 9557, 29889, 3221, 29889, 3084, 4097, 1053, 25326, 24204, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 3166, 1722, 29893, 11936, 29918, 7193, 29889, 3188, 29889, 9794, 1053, 313, 13, 1678, 25513, 2659, 29892, 13, 1678, 7399, 4782, 29892, 13, 1678, 7399, 27356, 2133, 29892, 13, 1678, 7399, 27356, 2133, 28213, 29892, 13, 1678, 7399, 27356, 2133, 2659, 29892, 13, 29897, 13, 3166, 25700, 29889, 16595, 1053, 313, 13, 1678, 25513, 27356, 2133, 29892, 13, 1678, 25513, 27356, 2133, 28213, 29892, 13, 1678, 25513, 27356, 2133, 2659, 29892, 13, 29897, 13, 13, 13, 1990, 4911, 29898, 9118, 2659, 1125, 13, 1678, 5264, 29918, 8926, 29918, 4537, 353, 4733, 29889, 27890, 29898, 13, 4706, 4236, 29918, 2848, 29922, 29896, 29896, 29892, 13, 4706, 1870, 29922, 5574, 29892, 13, 4706, 9654, 29922, 5574, 29892, 13, 4706, 2854, 4097, 11759, 4597, 735, 24204, 29898, 29878, 29915, 3823, 29881, 29905, 29881, 29905, 29881, 2612, 29881, 29905, 29881, 2612, 29881, 29905, 29881, 29905, 29881, 29905, 29881, 29938, 1495, 1402, 13, 1678, 1723, 13, 13, 1678, 770, 20553, 29898, 9118, 2659, 29889, 19346, 1125, 13, 4706, 9846, 353, 7700, 13, 13, 13, 1990, 9205, 2133, 29898, 5160, 27356, 2133, 29892, 25513, 27356, 2133, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 9205, 2133, 2659, 29898, 5160, 27356, 2133, 2659, 29892, 25513, 27356, 2133, 2659, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 9205, 2133, 28213, 29898, 5160, 27356, 2133, 28213, 29892, 25513, 27356, 2133, 28213, 1125, 13, 1678, 1209, 13, 13, 13, 1990, 6431, 29898, 5160, 4782, 29892, 25513, 4782, 1125, 13, 1678, 1209, 13, 2 ]

Model Files/Stroke_Model.py

imsanjoykb/Health-AI

5

164353

<reponame>imsanjoykb/Health-AI # Importing Libraries: import pandas as pd import numpy as np import pickle # for displaying all feature from dataset: pd.pandas.set_option('display.max_columns', None) # Reading Dataset: dataset = pd.read_csv("Stroke_data.csv") # Dropping unneccsary feature : dataset = dataset.drop('id', axis=1) # Filling NaN Values in BMI feature using mean: dataset['bmi'] = dataset['bmi'].fillna(dataset['bmi'].median()) # Dropping Other gender Other_gender = dataset[dataset['gender'] == 'Other'].index[0] dataset = dataset.drop(Other_gender, axis=0) # Rename some names in worktype feature for simplacity nothing else: dataset.replace({'Self-employed' : 'Self_employed'}, inplace=True) # Rename some names in smokers feature for simplacity nothing else: dataset.replace({'never smoked':'never_smoked', 'formerly smoked':'formerly_smoked'}, inplace=True) # Dependent & Independent Feature: X = dataset.iloc[:, :-1] y = dataset.iloc[:, -1] # Label Encoding: X['ever_married'] = np.where(X['ever_married']=='Yes',1,0) ## If married replace with by 1 otherwise 0. X['Residence_type'] = np.where(X['Residence_type']=='Rural',1,0) ## If residence type is Rural replace it by 1 otherwise 0. # One Hot Encoding: X = pd.get_dummies(X, drop_first=True) # Rearranging the columns for better understanding X = X[['gender_Male','age', 'hypertension', 'heart_disease', 'ever_married', 'Residence_type', 'avg_glucose_level', 'bmi', 'work_type_Never_worked', 'work_type_Private','work_type_Self_employed', 'work_type_children', 'smoking_status_formerly_smoked', 'smoking_status_never_smoked','smoking_status_smokes']] # Over Sampling: from imblearn.over_sampling import RandomOverSampler oversampler = RandomOverSampler(0.4) x_oversampler, y_oversampler = oversampler.fit_resample(X,y) # Train Test Split: from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(x_oversampler,y_oversampler, test_size=0.2, random_state=0) # RandomForestClassifier: from sklearn.ensemble import RandomForestClassifier RandomForest = RandomForestClassifier() RandomForest = RandomForest.fit(X_train,y_train) # Creating a pickle file for the classifier filename = 'Stroke.pkl' pickle.dump(RandomForest, open(filename, 'wb'))

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src/backend/build_models/build_emnist_digits_model.py

Nauheimer/swtp-ocr

0

1604147

<reponame>Nauheimer/swtp-ocr #!/usr/bin/python3 import os import tensorflow as tf import numpy as np import pandas as pd from random import randint import matplotlib.pyplot as plt from tensorflow.python.keras.layers.core import Dropout keras = tf.keras """ loads each data from emnist digit dataset. The csv mapp file for future predictions is also read. """ def load_mnist(): test = pd.read_csv("docs/emnist-digits-test.csv", delimiter= ',') train = pd.read_csv("docs/emnist-digits-train.csv", delimiter= ',') mapp = [i for i in range(10)] return test, train, mapp """ extracts respectively the test and the train datas from the emnist-digit csv file. The Labels of both sets are extracted from the first column of the emnist csv file. The proper datas of the both sets are extracted from the first to the last column of the emnist csv file. both sets are transformed as arrays to make future datas reshaping possible. returns extracted datas and labels of the train and test set respectively. """ def extract_datas(test, train): test_data = test.iloc[:, 1:] test_label = np.array(test.iloc[:, 0].values) train_data = train.iloc[:, 1:] train_label = np.array(train.iloc[:, 0].values) print(train_data.shape,train_label.shape,test_data.shape,test_label.shape) print('\n') train_data = np.array(train_data) test_data = np.array(test_data) return (train_data, train_label), (test_data, test_label) """ reshapes each data array and downscales the images pixels for a better training with CNN. """ def image_preprocessing(train_data, test_data): #reshape each image of train and test set train_data = train_data.reshape(239999, 28, 28) train_data = [np.fliplr(image) for image in train_data] train_data = [np.rot90(image) for image in train_data] train_data = np.asarray(train_data) test_data = test_data.reshape(39999, 28, 28) test_data = [np.fliplr(image) for image in test_data] test_data = [np.rot90(image) for image in test_data] test_data = np.asarray(test_data) train_data = train_data.astype('float32') test_data = test_data.astype('float32') # downscale image pixels from [0, 255] to [0, 1] train_data /= 255.0 test_data /= 255.0 print(train_data.shape, test_data.shape) return train_data, test_data """ plots some sample images. """ def plot_sample_images(data, label, mapp): plt.figure(figsize = (10,10)) row, colums = 4, 4 for i in range(16): plt.subplot(colums, row, i+1) index = randint(0, len(data)) plt.savefig("plot_pics/mnist_plot") plt.imshow(data[index], cmap='gray_r') # num = int(label[index]) # print(num) plt.title(int(label[index])) plt.show() """ builds and train the CNN Network to get a performant model for future predictions. """ def train_mnist(): train, test, mapp = load_mnist() (train_data, train_label), (test_data, test_label) = extract_datas(train, test) train_data, test_data = image_preprocessing(train_data, test_data) plot_sample_images(train_data, train_label, mapp) model = keras.Sequential([ keras.layers.Flatten(input_shape=(28, 28)), keras.layers.Dense(512, activation='relu'), keras.layers.Dense(512, activation='relu'), # relu f(x) = max(0, x). x = input. if (x<0) the x = 0. Else x = x keras.layers.Dense(10, activation='softmax') ]) model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy']) history = model.fit(train_data, train_label, epochs=10, validation_data=(test_data, test_label)) test_loss, test_acc = model.evaluate(test_data, test_label) print('Test accuracy:', test_acc) #saving the model save_dir = "results" model_name = "trained_mnist_model" model_path = os.path.join(save_dir, model_name) model.save(model_path) print('saved trained model at %s ', model_path) prediction = model.predict(test_data) return history, test_data, test_label def plot_metrics(history, test_data, test_label): fig = plt.figure() plt.subplot(2,1,1) plt.plot(history.history['accuracy']) plt.plot(history.history['val_accuracy']) plt.title('model accuracy') plt.ylabel('accuracy') plt.xlabel('epoch') plt.legend(['train', 'test'], loc='lower right') plt.show() plt.subplot(2,1,2) plt.plot(history.history['loss']) plt.plot(history.history['val_loss']) plt.title('model loss') plt.ylabel('loss') plt.xlabel('epoch') plt.legend(['train', 'test'], loc='upper right') plt.show() plt.tight_layout() loss_and_metrics = model.evaluate(test_data, test_label, verbose=2) train_mnist()

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15-more-types/mysum.py

SeirousLee/example-code-2e

990

36170

import functools import operator from collections.abc import Iterable from typing import overload, Union, TypeVar T = TypeVar('T') S = TypeVar('S') # <1> @overload def sum(it: Iterable[T]) -> Union[T, int]: ... # <2> @overload def sum(it: Iterable[T], /, start: S) -> Union[T, S]: ... # <3> def sum(it, /, start=0): # <4> return functools.reduce(operator.add, it, start)

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sdp_2021_03/model/user.py

iproduct/intro-python

3

93327

<filename>sdp_2021_03/model/user.py from functools import total_ordering # from decorators import trace_get_attributes import decorators as dec # @dec.trace_get_attributes @total_ordering class User: next_id = 0 # @staticmethod # def increment_next_id(): # User.next_id += 1 @classmethod def increment_next_id(cls): cls.next_id += 1 def __init__(self, name, email, password, role = 'user'): self.__class__.increment_next_id() self.id = self.__class__.next_id self.name = name self.email = email self.password = password self.role = role def __str__(self): return f'ID: {self.id}, Name: {self.name}, Email: {self.email}, Role: {self.role}' def __repr__(self): return f'User[ ID: {self.id}, Name: {self.name}, Email: {self.email}, Role: {self.role}]' def __eq__(self, other): return self.id == other.id def __lt__(self, other): return (self.name, self.id) < (other.name, other.id) def check_password(self, password: str) -> bool: return password == <PASSWORD> class Author(User): def __init__(self, name, email, password, rank = 'beginner'): super().__init__(name, email, password, '<PASSWORD>') self.rank = rank def __str__(self): return f'Author({super().__str__()}, Rank: {self.rank})' class Admin(User): def __init__(self, name, email, password, phone): super().__init__(name, email, password, 'admin') self.phone = phone def __str__(self): return f'Admin({super().__str__()}, Phone: {self.phone})' default_admin = Admin('Admin Admin', '<EMAIL>', 'admin123', '35928976564') if __name__ == '__main__': users: list[User] = [ Author('I<NAME>', '<EMAIL>', '<PASSWORD>'), Admin('Admin Admin', '<EMAIL>', 'admin123', '35928976564'), Admin('<NAME>', '<EMAIL>', 'nadia123', '3592754632'), Admin('Admin Admin', '<EMAIL>', 'admin123', '3592897655'), ] for user in sorted(users): print(user) print(users[0].check_password('<PASSWORD>')) # True print(users[0].check_password('<PASSWORD>')) # False # print(users[0].__dict__) # print(User.__dict__)

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prickly-pufferfish/python_questions/merge_ranges.py

Vthechamp22/summer-code-jam-2021

40

24595

<filename>prickly-pufferfish/python_questions/merge_ranges.py """ In HiCal, a meeting is stored as tuples of integers (start_time, end_time). / These integers represent the number of 30-minute blocks past 9:00am. / For example: / (2, 3) # meeting from 10:00 - 10:30 am / (6, 9) # meeting from 12:00 - 1:30 pm / Write a function merge_ranges() that / takes a list of meeting time ranges as a parameter / and returns a list of condensed ranges. / >>> merge_ranges([(3, 5), (4, 8), (10, 12), (9, 10), (0, 1)]) / [(0, 1), (3, 8), (9, 12)] / >>> merge_ranges([(0, 3), (3, 5), (4, 8), (10, 12), (9, 10)]) / [(0, 8), (9, 12)] / >>> merge_ranges([(0, 3), (3, 5)]) / [(0, 5)] / >>> merge_ranges([(0, 3), (3, 5), (7, 8)]) / [(0, 5), (7, 8)] / >>> merge_ranges([(1, 5), (2, 3)]) / [(1, 5)] / """

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dataset/semi.py

lanyinemt2/ST-PlusPlus

73

41473

from dataset.transform import crop, hflip, normalize, resize, blur, cutout import math import os from PIL import Image import random from torch.utils.data import Dataset from torchvision import transforms class SemiDataset(Dataset): def __init__(self, name, root, mode, size, labeled_id_path=None, unlabeled_id_path=None, pseudo_mask_path=None): """ :param name: dataset name, pascal or cityscapes :param root: root path of the dataset. :param mode: train: supervised learning only with labeled images, no unlabeled images are leveraged. label: pseudo labeling the remaining unlabeled images. semi_train: semi-supervised learning with both labeled and unlabeled images. val: validation. :param size: crop size of training images. :param labeled_id_path: path of labeled image ids, needed in train or semi_train mode. :param unlabeled_id_path: path of unlabeled image ids, needed in semi_train or label mode. :param pseudo_mask_path: path of generated pseudo masks, needed in semi_train mode. """ self.name = name self.root = root self.mode = mode self.size = size self.pseudo_mask_path = pseudo_mask_path if mode == 'semi_train': with open(labeled_id_path, 'r') as f: self.labeled_ids = f.read().splitlines() with open(unlabeled_id_path, 'r') as f: self.unlabeled_ids = f.read().splitlines() self.ids = \ self.labeled_ids * math.ceil(len(self.unlabeled_ids) / len(self.labeled_ids)) + self.unlabeled_ids else: if mode == 'val': id_path = 'dataset/splits/%s/val.txt' % name elif mode == 'label': id_path = unlabeled_id_path elif mode == 'train': id_path = labeled_id_path with open(id_path, 'r') as f: self.ids = f.read().splitlines() def __getitem__(self, item): id = self.ids[item] img = Image.open(os.path.join(self.root, id.split(' ')[0])) if self.mode == 'val' or self.mode == 'label': mask = Image.open(os.path.join(self.root, id.split(' ')[1])) img, mask = normalize(img, mask) return img, mask, id if self.mode == 'train' or (self.mode == 'semi_train' and id in self.labeled_ids): mask = Image.open(os.path.join(self.root, id.split(' ')[1])) else: # mode == 'semi_train' and the id corresponds to unlabeled image fname = os.path.basename(id.split(' ')[1]) mask = Image.open(os.path.join(self.pseudo_mask_path, fname)) # basic augmentation on all training images base_size = 400 if self.name == 'pascal' else 2048 img, mask = resize(img, mask, base_size, (0.5, 2.0)) img, mask = crop(img, mask, self.size) img, mask = hflip(img, mask, p=0.5) # strong augmentation on unlabeled images if self.mode == 'semi_train' and id in self.unlabeled_ids: if random.random() < 0.8: img = transforms.ColorJitter(0.5, 0.5, 0.5, 0.25)(img) img = transforms.RandomGrayscale(p=0.2)(img) img = blur(img, p=0.5) img, mask = cutout(img, mask, p=0.5) img, mask = normalize(img, mask) return img, mask def __len__(self): return len(self.ids)

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R_3_1_1.py

meissnert/StarCluster-Plugins

1

63019

from starcluster.clustersetup import ClusterSetup from starcluster.logger import log class RInstaller(ClusterSetup): def run(self, nodes, master, user, user_shell, volumes): for node in nodes: log.info("Installing R 3.1.1 on %s" % (node.alias)) log.info("...installing dependencies") node.ssh.execute('apt-get install -y libreadline-dev ncurses-dev libpng-dev texinfo texlive texlive-base luatex texlive-latex-base texlive-luatex texlive-extra-utils texlive-latex-recommended texlive-fonts-extra freetype* libxml2 libxml2-dev libpng12-dev libcurl4-openssl-dev tk-dev xterm') node.ssh.execute('apt-get install -y libgtk2.0-dev xorg-dev') log.info("...dependencies installed --> --> downloading R") node.ssh.execute('wget -c -P /opt/software/R http://cran.us.r-project.org/src/base/R-3/R-3.1.1.tar.gz') log.info("...R has downloaded --> decompressing files") node.ssh.execute('tar xvzf /opt/software/R/R-3.1.1.tar.gz -C /opt/software/R') log.info("...files decompressed --> running ./configure") node.ssh.execute('cd /opt/software/R/R-3.1.1 && ./configure --with-lapack --with-blas --with-pic --enable-threads --with-x=yes --enable-R-shlib --with-libpng --with-jpeglib --with-recommended-packages=yes') log.info("...configure has finished --> running make") node.ssh.execute('make -C /opt/software/R/R-3.1.1') log.info("...make has finished --> creating modulefiles") node.ssh.execute('mkdir -p /usr/local/Modules/applications/R/;touch /usr/local/Modules/applications/R/3.1.1') node.ssh.execute('echo "#%Module" >> /usr/local/Modules/applications/R/3.1.1') node.ssh.execute('echo "set root /opt/software/R/R-3.1.1" >> /usr/local/Modules/applications/R/3.1.1') node.ssh.execute('echo -e "prepend-path\tPATH\t\$root/bin" >> /usr/local/Modules/applications/R/3.1.1') log.info("...installing R packages") log.info("...installing packages from CRAN") node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/Rprofile') node.ssh.execute('cp /opt/software/R/Rprofile ~/.Rprofile') node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/packages_cran.R') node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/packages_bioc_1.R') node.ssh.execute('wget -c -P /opt/software/R https://bitbucket.org/sulab/omics_pipe/raw/e345e666dd70711f79d310fe451a361893626196/dist/AWS_customBuild/packages_bioc_2.R') node.ssh.execute('module load R/3.1.1 && Rscript /opt/software/R/packages_cran.R') log.info("...CRAN packages have been installed --> installing BioConductor packages") node.ssh.execute('module load R/3.1.1 && Rscript /opt/software/R/packages_bioc_1.R') log.info("...BioConductor1 packages have been installed") node.ssh.execute('module load R/3.1.1 && Rscript /opt/software/R/packages_bioc_2.R') log.info("...BioConductor2 packages have been installed")

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rpyc/core/netref.py

fruch/rpyc

0

28347

<gh_stars>0 """ NetRef - transparent network references implementation. """ import sys import inspect import types import cPickle as pickle from rpyc.core import consts _local_netref_attrs = frozenset([ '____conn__', '____oid__', '__class__', '__cmp__', '__del__', '__delattr__', '__dir__', '__doc__', '__getattr__', '__getattribute__', '__hash__', '__init__', '__metaclass__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__slots__', '__str__', '__weakref__', '__dict__', '__members__', '__methods__', ]) _builtin_types = [ type, object, types.InstanceType, types.ClassType, bool, complex, dict, file, float, int, list, long, slice, str, basestring, tuple, unicode, str, set, frozenset, Exception, types.NoneType, types.DictProxyType, types.BuiltinFunctionType, types.GeneratorType, types.MethodType, types.CodeType, types.FrameType, types.TracebackType, xrange, types.ModuleType, types.FunctionType, type(int.__add__), # wrapper_descriptor type((1).__add__), # method-wrapper type(iter([])), # listiterator type(iter(())), # tupleiterator type(iter(xrange(10))), # rangeiterator type(iter(set())), # setiterator ] _normalized_builtin_types = dict(((t.__name__, t.__module__), t) for t in _builtin_types) def syncreq(proxy, handler, *args): """performs a synchronous request on the given proxy object""" conn = object.__getattribute__(proxy, "____conn__") oid = object.__getattribute__(proxy, "____oid__") return conn().sync_request(handler, oid, *args) def asyncreq(proxy, handler, *args): """performs an asynchronous request on the given proxy object, retuning an AsyncResult""" conn = object.__getattribute__(proxy, "____conn__") oid = object.__getattribute__(proxy, "____oid__") return conn().async_request(handler, oid, *args) class NetrefMetaclass(type): """a metaclass just to customize the __repr__ of netref classes""" __slots__ = () def __repr__(self): if self.__module__: return "<netref class '%s.%s'>" % (self.__module__, self.__name__) else: return "<netref class '%s'>" % (self.__name__,) class BaseNetref(object): """the base netref object, from which all netref classes derive""" __metaclass__ = NetrefMetaclass __slots__ = ["____conn__", "____oid__", "__weakref__"] def __init__(self, conn, oid): self.____conn__ = conn self.____oid__ = oid def __del__(self): try: asyncreq(self, consts.HANDLE_DEL) except Exception: # raised in a destructor, most likely on program termination, # it's safe to ignore all exceptions here pass def __getattribute__(self, name): if name in _local_netref_attrs: if name == "__class__": cls = object.__getattribute__(self, "__class__") if cls is None: cls = self.__getattr__("__class__") return cls elif name == "__doc__": return self.__getattr__("__doc__") elif name == "__members__": # for Python < 2.6 return self.__dir__() else: return object.__getattribute__(self, name) elif name == "__call__": # IronPython issue #10 return object.__getattribute__(self, "__call__") else: return syncreq(self, consts.HANDLE_GETATTR, name) def __getattr__(self, name): return syncreq(self, consts.HANDLE_GETATTR, name) def __delattr__(self, name): if name in _local_netref_attrs: object.__delattr__(self, name) else: syncreq(self, consts.HANDLE_DELATTR, name) def __setattr__(self, name, value): if name in _local_netref_attrs: object.__setattr__(self, name, value) else: syncreq(self, consts.HANDLE_SETATTR, name, value) def __dir__(self): return list(syncreq(self, consts.HANDLE_DIR)) # support for metaclasses def __hash__(self): return syncreq(self, consts.HANDLE_HASH) def __cmp__(self, other): return syncreq(self, consts.HANDLE_CMP, other) def __repr__(self): return syncreq(self, consts.HANDLE_REPR) def __str__(self): return syncreq(self, consts.HANDLE_STR) # support for pickle def __reduce_ex__(self, proto): return pickle.loads, (syncreq(self, consts.HANDLE_PICKLE, proto),) def _make_method(name, doc): name = str(name) # IronPython issue #10 if name == "__call__": def __call__(_self, *args, **kwargs): kwargs = tuple(kwargs.items()) return syncreq(_self, consts.HANDLE_CALL, args, kwargs) __call__.__doc__ = doc return __call__ else: def method(_self, *args, **kwargs): kwargs = tuple(kwargs.items()) return syncreq(_self, consts.HANDLE_CALLATTR, name, args, kwargs) method.__name__ = name method.__doc__ = doc return method def inspect_methods(obj): """returns a list of (method name, docstring) tuples of all the methods of the given object""" methods = {} attrs = {} if isinstance(obj, type): # don't forget the darn metaclass mros = list(reversed(type(obj).__mro__)) + list(reversed(obj.__mro__)) else: mros = reversed(type(obj).__mro__) for basecls in mros: attrs.update(basecls.__dict__) for name, attr in attrs.iteritems(): if name not in _local_netref_attrs and hasattr(attr, "__call__"): methods[name] = inspect.getdoc(attr) return methods.items() def class_factory(clsname, modname, methods): clsname = str(clsname) # IronPython issue #10 modname = str(modname) # IronPython issue #10 ns = {"__slots__" : ()} for name, doc in methods: name = str(name) # IronPython issue #10 if name not in _local_netref_attrs: ns[name] = _make_method(name, doc) ns["__module__"] = modname if modname in sys.modules and hasattr(sys.modules[modname], clsname): ns["__class__"] = getattr(sys.modules[modname], clsname) elif (clsname, modname) in _normalized_builtin_types: ns["__class__"] = _normalized_builtin_types[clsname, modname] else: # to be resolved by the instance ns["__class__"] = None return type(clsname, (BaseNetref,), ns) builtin_classes_cache = {} for cls in _builtin_types: builtin_classes_cache[cls.__name__, cls.__module__] = class_factory( cls.__name__, cls.__module__, inspect_methods(cls))

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server_util/resource_manager.py

igushev/fase_lib

7

52197

import functools import os from fase_lib.base_util import singleton_util TEMPLATE_SYMBOL = '@' PIXEL_DENSITY_STEP = 0.25 PIXEL_DENSITY_MIN = 0 PIXEL_DENSITY_MAX = 10 @singleton_util.Singleton() class ResourceManager(): def __init__(self, resource_dir): self.resource_dir = resource_dir def GetResourceDir(self): return self.resource_dir @functools.lru_cache(maxsize=None, typed=True) def GetResourceFilename(self, filename, pixel_density): if TEMPLATE_SYMBOL in filename: return self.ResolveResourceFilename(filename, pixel_density) if os.path.isfile(os.path.join(self.resource_dir, filename)): return filename return None def ResolveResourceFilename(self, filename_template, pixel_density): assert pixel_density % PIXEL_DENSITY_STEP == 0 for direction in [-1, 1]: current_pixel_density = pixel_density while ((direction == -1 and current_pixel_density > PIXEL_DENSITY_MIN) or (direction == 1 and current_pixel_density < PIXEL_DENSITY_MAX)): current_pixel_density_str = ('%.2f' % current_pixel_density).replace('.', '_') filename = filename_template.replace(TEMPLATE_SYMBOL, current_pixel_density_str) if os.path.isfile(os.path.join(self.resource_dir, filename)): return filename current_pixel_density += PIXEL_DENSITY_STEP * direction return None

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adder_python/adder.py

ToolPilotNeural/new_repo

0

99641

<filename>adder_python/adder.py import math def add_two_numbers(a, b) -> int: return a + b def subtract_two_numbers(a, b) -> int: return a - b def multiply_two_numbers(a, b) -> int: return a * b def divide_two_numbers(a, b) -> int: try: return a/b except ZeroDivisionError: print('You cannot divide a number by zero') return None

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BookClub/views/action_views.py

amir-rahim/BookClubSocialNetwork

4

151727

<filename>BookClub/views/action_views.py """Action related views.""" from django.contrib import messages from django.contrib.auth.mixins import LoginRequiredMixin from django.shortcuts import redirect from django.views.generic import TemplateView, View from django.core.exceptions import ObjectDoesNotExist from BookClub.helpers import * from BookClub.models import Club, User, ClubMembership class ActionView(TemplateView): """Class for views that make an action.""" def get(self, request, *args, **kwargs): return redirect('home') def post(self, request, *args, **kwargs): """ Handle post request Args: request (Django Request): The request we have received """ try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user target_user = User.objects.get(username=self.request.POST.get('user')) except ObjectDoesNotExist: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location, kwargs['club_url_name']) if self.is_actionable(current_user, target_user, club): self.action(current_user, target_user, club) else: self.is_not_actionable(current_user, target_user, club) return redirect(self.redirect_location, kwargs['club_url_name']) def is_actionable(self, current_user, target_user, club): """Check if the action is legal.""" raise NotImplementedError("This method isn't implemented yet.") # pragma: no cover def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Runs the action.""" raise NotImplementedError("This method isn't implemented yet.") # pragma: no cover class PromoteMemberView(LoginRequiredMixin, ActionView): """Promoting a member to a moderator.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if member can be promoted.""" return (has_owner_rank(current_user, club) and has_member_rank(target_user, club)) def action(self, current_user, target_user, club): """Promotes the member to moderator.""" messages.success(self.request, f"You have successfully promoted the member.") set_rank(target_user, club, ClubMembership.UserRoles.MODERATOR) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class DemoteMemberView(LoginRequiredMixin, ActionView): """Demoting a moderator to a member.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if moderator can be demoted.""" return has_owner_rank(current_user, club) and has_moderator_rank(target_user, club) def action(self, current_user, target_user, club): """Demote moderator to a member.""" messages.success(self.request, f"You have successfully demoted the moderator.") set_rank(target_user, club, ClubMembership.UserRoles.MEMBER) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class ApproveApplicantView(LoginRequiredMixin, ActionView): """Approving an applicant to a member.""" redirect_location = 'applicant_list' def is_actionable(self, current_user, target_user, club): """Check if applicant can be approved.""" return ((has_owner_rank(current_user, club) or has_moderator_rank(current_user, club)) and has_applicant_rank( target_user, club)) def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" redirect_location = 'home' messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Approves the applicant to a member.""" messages.success(self.request, f"You have successfully approved the applicant.") set_rank(target_user, club, ClubMembership.UserRoles.MEMBER) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class RejectApplicantView(LoginRequiredMixin, ActionView): """Rejecting an applicant""" redirect_location = 'applicant_list' def is_actionable(self, current_user, target_user, club): """Check if applicant can be rejected.""" return ((has_owner_rank(current_user, club) or has_moderator_rank(current_user, club)) and has_applicant_rank( target_user, club)) def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" redirect_location = 'home' messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Rejects the applicant""" messages.success(self.request, f"You have successfully rejected the applicant.") remove_from_club(target_user, club) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class KickMemberView(LoginRequiredMixin, ActionView): """Kicks the target user from the club.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if currentUser can kick targetUser.""" return can_kick(club, current_user, target_user) def action(self, current_user, target_user, club): """Kick the targetUser.""" messages.success(self.request, f"You have successfully kicked the member.") remove_from_club(target_user, club) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class TransferOwnershipView(LoginRequiredMixin, ActionView): """Transfer ownership of a club to another moderator.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if the ownership can be transferred to a valid moderator.""" return has_owner_rank(current_user, club) and has_moderator_rank(target_user, club) def action(self, current_user, target_user, club): """Transfer ownership to moderator and demote owner to moderator.""" messages.success(self.request, f"You have transferred the ownership successfully.") set_rank(target_user, club, ClubMembership.UserRoles.OWNER) set_rank(current_user, club, ClubMembership.UserRoles.MODERATOR) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class JoinClubView(LoginRequiredMixin, View): """Users can join/apply to clubs.""" redirect_location = 'available_clubs' def get(self, request, *args, **kwargs): return redirect(self.redirect_location) def is_actionable(self, current_user, club): """Check if user can join/apply to a club.""" return not has_membership(club, current_user) def is_not_actionable(self, current_user, club): """If user has a membership with the club already.""" if club.is_private: messages.info(self.request, "You have already applied to this club.") else: messages.info(self.request, "You are already a member of this club.") def action(self, current_user, club): """Create membership for user with the club depending on privacy.""" if club.is_private: create_membership(club, current_user, ClubMembership.UserRoles.APPLICANT) messages.success(self.request, "Application to club successful.") else: create_membership(club, current_user, ClubMembership.UserRoles.MEMBER) messages.success(self.request, "You have joined the club.") def post(self, request, *args, **kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user except: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location) if (self.is_actionable(current_user, club)): self.action(current_user, club) else: self.is_not_actionable(current_user, club) return redirect(self.redirect_location) class LeaveClubView(LoginRequiredMixin, View): """User can leave a club.""" redirect_location = 'my_club_memberships' def get(self, request, *args, **kwargs): return redirect(self.redirect_location) def is_actionable(self, current_user, club): """Check if currentUser is in the club.""" return (has_membership(club, current_user) or has_applicant_rank(current_user, club)) and not (has_owner_rank(current_user, club)) def is_not_actionable(self, current_user, club): """User cannot leave club if they are the owner.""" if has_owner_rank(current_user, club): messages.error(self.request, "The owner of the club cannot leave.") def action(self, current_user, club): """User leaves the club, membership with the club is deleted.""" messages.success(self.request, "You have left the club.") remove_from_club(current_user, club) def post(self, request, *args, **kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user except: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location) if (self.is_actionable(current_user, club)): self.action(current_user, club) else: self.is_not_actionable(current_user, club) return redirect(self.redirect_location) class DeleteClubView(LoginRequiredMixin, View): """User can delete a club.""" redirect_location = 'available_clubs' def is_actionable(self, current_user, club): """Only allow the owner of a club to delete it.""" return has_owner_rank(current_user, club) def is_not_actionable(self): messages.error(self.request, f"You are not allowed to delete the club!") def action(self, current_user, club): club.delete() messages.success(self.request, "You have deleted the club.") def post(self, request, *args, **kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user if self.is_actionable(current_user, club): self.action(current_user, club) return redirect(self.redirect_location) else: self.is_not_actionable() except: messages.error(self.request, "Error, user or club not found.") return redirect('home')

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managers/search_indexes.py

naderm/farnsworth

0

70900

''' Project: Farnsworth Author: <NAME> Search indexes for the managers app. ''' from datetime import datetime from haystack import indexes from managers.models import Manager, Request, Response, Announcement class ManagerIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Managers. ''' text = indexes.EdgeNgramField(document=True, use_template=True) title = indexes.EdgeNgramField(model_attr='title', boost=2) exact_manager = indexes.CharField(model_attr='title', faceted=True) incumbent = indexes.EdgeNgramField(model_attr='incumbent', null=True) exact_user = indexes.CharField(model_attr='incumbent', faceted=True, null=True) compensation = indexes.EdgeNgramField(model_attr='compensation', null=True) duties = indexes.EdgeNgramField(model_attr='duties', null=True) email = indexes.EdgeNgramField(model_attr='email', null=True) exact_email = indexes.CharField(model_attr='email', faceted=True, null=True) def get_model(self): return Manager def index_queryset(self, using=None): return self.get_model().objects.filter(active=True) class RequestIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Requests. ''' text = indexes.EdgeNgramField(document=True, use_template=True) owner = indexes.EdgeNgramField(model_attr='owner') exact_user = indexes.CharField(model_attr='owner', faceted=True) body = indexes.EdgeNgramField(model_attr='body') post_date = indexes.DateTimeField(model_attr='post_date') change_date = indexes.DateTimeField(model_attr='change_date') def get_model(self): return Request def index_queryset(self, using=None): return self.get_model().objects.filter(private=False) class ResponseIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Responses. ''' text = indexes.EdgeNgramField(document=True, use_template = True) owner = indexes.EdgeNgramField(model_attr='owner') exact_user = indexes.CharField(model_attr='owner', faceted=True) body = indexes.EdgeNgramField(model_attr='body') post_date = indexes.DateTimeField(model_attr='post_date') request = indexes.EdgeNgramField(model_attr='request') def get_model(self): return Response def index_queryset(self, using=None): return self.get_model().objects.filter(request__private=False) class AnnouncementIndex(indexes.SearchIndex, indexes.Indexable): ''' Index for Announcements. ''' text = indexes.EdgeNgramField(document=True, use_template = True) manager = indexes.EdgeNgramField(model_attr='manager') exact_manager = indexes.CharField(model_attr='manager', faceted=True) incumbent = indexes.EdgeNgramField(model_attr='incumbent') exact_user = indexes.CharField(model_attr='incumbent', faceted=True) body = indexes.EdgeNgramField(model_attr='body') post_date = indexes.DateTimeField(model_attr='post_date') change_date = indexes.DateTimeField(model_attr='change_date') def get_model(self): return Announcement def index_queryset(self, using=None): return self.get_model().objects.all()

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user_satisfaction_prediction/evaluation.py

wanlingcai1997/umap_2020_code

2

96959

import numpy as np import sklearn.metrics as metrics from scipy.sparse import csr_matrix def evaluation_score(label_test, predict_label): f1_micro=metrics.f1_score(label_test, predict_label, average='micro') hamm=metrics.hamming_loss(label_test,predict_label) accuracy = metrics.accuracy_score(label_test, predict_label) precision = metrics.precision_score(label_test, predict_label,average='micro') # f1=metrics.f1_score(label_test, predict_label) recall=metrics.recall_score(label_test, predict_label,average='micro') print('F1-score:',round(f1_micro,4)) print('Hamming Loss:',round(hamm,4)) print("accuracy :", round(accuracy, 4)) print("precision :", round(precision, 4)) # print("f1 :", round(f1, 4)) print("recall :", round(recall, 4)) return def f1(y_true, y_pred): correct_preds, total_correct, total_preds = 0., 0., 0. for i in range(y_true.shape[0]): set_true = set( np.where(y_true[i])[0]) set_pred = set( np.where(y_pred[i])[0] ) correct_preds += len(set_true & set_pred) total_preds += len(set_pred) total_correct += len(set_true) p = correct_preds / total_preds if correct_preds > 0 else 0 r = correct_preds / total_correct if correct_preds > 0 else 0 f1 = 2 * p * r / (p + r) if correct_preds > 0 else 0 return p, r, f1 def hamming_score(y_true, y_pred, normalize=True, sample_weight=None): ''' Compute the Hamming score (a.k.a. label-based accuracy) for the multi-label case http://stackoverflow.com/q/32239577/395857 ''' acc_list = [] # y_true = np.array(y_true) # since y_true is numpy.matrix # if not isinstance(y_pred, np.ndarray) or not isinstance(y_pred, np.matrix): # y_pred = y_pred.toarray() # since y_pre is scipy.sparse.lil_matrix for i in range(y_true.shape[0]): #print(y_true[i]) #print(y_pred[i]) set_true = set( np.where(y_true[i])[0] ) set_pred = set( np.where(y_pred[i])[0] ) #print('\nset_true: {0}'.format(set_true)) #print('set_pred: {0}'.format(set_pred)) tmp_a = None if len(set_true) == 0 and len(set_pred) == 0: tmp_a = 1 else: tmp_a = len(set_true.intersection(set_pred))/\ float( len(set_true.union(set_pred)) ) #print('tmp_a: {0}'.format(tmp_a)) acc_list.append(tmp_a) return np.mean(acc_list) if __name__ == "__main__": y_true = np.array([[0,1,0], [0,1,1], [1,0,1], [0,0,1]]) y_pred = np.array([[0,1,1], [0,1,1], [0,1,0], [0,0,0]]) print('Hamming score: {0}'.format(hamming_score(y_true, y_pred))) # 0.375 (= (0.5+1+0+0)/4) # Subset accuracy # 0.25 (= 0+1+0+0 / 4) --> 1 if the prediction for one sample fully matches the gold. 0 otherwise. print('Subset accuracy: {0}'.format(metrics.accuracy_score(y_true, y_pred, normalize=True, sample_weight=None))) # Hamming loss (smaller is better) # $$ \text{HammingLoss}(x_i, y_i) = \frac{1}{|D|} \sum_{i=1}^{|D|} \frac{xor(x_i, y_i)}{|L|}, $$ # where # - \$|D|\$ is the number of samples # - \$|L|\$ is the number of labels # - \$y_i\$ is the ground truth # - \$x_i\$ is the prediction. # 0.416666666667 (= (1+0+3+1) / (3*4) ) print('Hamming loss: {0}'.format(metrics.hamming_loss(y_true, y_pred)))

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HelloLeap.py

KanaadPathak/SimpleTracker-v0.1

0

118748

import Leap, sys, thread, time from Leap import CircleGesture, KeyTapGesture, ScreenTapGesture, SwipeGesture import matplotlib.pyplot as plt import numpy as np directionList = [] totalFrames = 0 def plotGraph (): print directionList global totalFrames print totalFrames i=0 while i < totalFrames: plt.scatter(i,directionList[i]) i+=1 plt.show() class SampleListener(Leap.Listener): finger_names = ['Thumb', 'Index', 'Middle', 'Ring', 'Pinky'] bone_names = ['Metacarpal', 'Proximal', 'Intermediate', 'Distal'] state_names = ['STATE_INVALID', 'STATE_START', 'STATE_UPDATE', 'STATE_END'] def on_init(self, controller): print "Initialized" def on_connect(self, controller): print "Connected" # Enable gestures controller.enable_gesture(Leap.Gesture.TYPE_CIRCLE) controller.enable_gesture(Leap.Gesture.TYPE_KEY_TAP) controller.enable_gesture(Leap.Gesture.TYPE_SCREEN_TAP) controller.enable_gesture(Leap.Gesture.TYPE_SWIPE) def on_disconnect(self, controller): # Note: not dispatched when running in a debugger. print "Disconnected" def on_exit(self, controller): print "Exited" def on_frame(self, controller): # Get the most recent frame and report some basic information frame = controller.frame() for hand in frame.hands: handType = "Left Hand" if hand.is_left else "Right Hand" global totalFrames #print " %s , ID = %d ,position = % s " %(handType,hand.id,hand.palm_position) normal = hand.palm_normal direction = hand.direction directionList.append((normal[2])) totalFrames+=1 print " %s is Normal and %s is direction " % (normal[2],direction[0]) def main(): # Create a sample listener and controller listener = SampleListener() controller = Leap.Controller() # Have the sample listener receive events from the controller controller.add_listener(listener) # Keep this process running until Enter is pressed print "Press Enter to quit..." try: sys.stdin.readline() except KeyboardInterrupt: pass finally: # Remove the sample listener when done controller.remove_listener(listener) if __name__ == "__main__": main() plotGraph()

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detector/effdet_cfg.py

HwangToeMat/tmp

10

190992

<filename>detector/effdet_cfg.py from easydict import EasyDict as edict cfg = edict() cfg.NMS_THRES = 0.6 cfg.CONFIDENCE = 0.1 cfg.NUM_CLASSES = 80

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src/homework/homework1.py

acc-cosc-1336/cosc-1336-spring-2018-Isaacol77

0

77697

<filename>src/homework/homework1.py def get_hours_since_midnight(seconds): ''' Type the code to calculate total hours given n(number) of seconds For example, given 3800 seconds the total hours is 1 ''' return (seconds//3600) ''' IF YOU ARE OK WITH A GRADE OF 70 FOR THIS ASSIGNMENT STOP HERE. ''' def get_minutes(seconds): ''' Type the code to calculate total minutes less whole hour given n(number) of seconds For example, given 3800 seconds the total minutes is 3 ''' seconds_left = (seconds % 3600) return (seconds_left // 60) def get_seconds(seconds): ''' Type the code to calculate total minutes less whole hour given n(number) of seconds For example, given 3800 seconds the total minutes is 20 ''' seconds_left = (seconds % 3600) return (seconds_left % 60) # used the // to get the amount of minutes left and the % to get the remaining seconds.

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.venv/lib/python2.7/site-packages/ansible/module_utils/nxos.py

Achraf-Ben/Ansible-

0

13702

<gh_stars>0 # # This code is part of Ansible, but is an independent component. # # This particular file snippet, and this file snippet only, is BSD licensed. # Modules you write using this snippet, which is embedded dynamically by Ansible # still belong to the author of the module, and may assign their own license # to the complete work. # # (c) 2017 Red Hat, Inc. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. # IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE # USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # import collections from ansible.module_utils._text import to_text from ansible.module_utils.basic import env_fallback, return_values from ansible.module_utils.network_common import to_list, ComplexList from ansible.module_utils.connection import exec_command from ansible.module_utils.six import iteritems from ansible.module_utils.urls import fetch_url _DEVICE_CONNECTION = None nxos_provider_spec = { 'host': dict(), 'port': dict(type='int'), 'username': dict(fallback=(env_fallback, ['ANSIBLE_NET_USERNAME'])), 'password': dict(fallback=(env_fallback, ['ANSIBLE_NET_PASSWORD']), no_log=True), 'ssh_keyfile': dict(fallback=(env_fallback, ['ANSIBLE_NET_SSH_KEYFILE'])), 'use_ssl': dict(type='bool'), 'validate_certs': dict(type='bool'), 'timeout': dict(type='int'), 'transport': dict(default='cli', choices=['cli', 'nxapi']) } nxos_argument_spec = { 'provider': dict(type='dict', options=nxos_provider_spec), } nxos_argument_spec.update(nxos_provider_spec) # Add argument's default value here ARGS_DEFAULT_VALUE = { 'transport': 'cli' } def get_argspec(): return nxos_argument_spec def check_args(module, warnings): for key in nxos_argument_spec: if module._name == 'nxos_user': if key not in ['password', 'provider', 'transport'] and module.params[key]: warnings.append('argument %s has been deprecated and will be in a future version' % key) else: if key not in ['provider', 'transport'] and module.params[key]: warnings.append('argument %s has been deprecated and will be removed in a future version' % key) # set argument's default value if not provided in input # This is done to avoid unwanted argument deprecation warning # in case argument is not given as input (outside provider). for key in ARGS_DEFAULT_VALUE: if not module.params.get(key, None): module.params[key] = ARGS_DEFAULT_VALUE[key] def load_params(module): provider = module.params.get('provider') or dict() for key, value in iteritems(provider): if key in nxos_argument_spec: if module.params.get(key) is None and value is not None: module.params[key] = value def get_connection(module): global _DEVICE_CONNECTION if not _DEVICE_CONNECTION: load_params(module) if is_nxapi(module): conn = Nxapi(module) else: conn = Cli(module) _DEVICE_CONNECTION = conn return _DEVICE_CONNECTION class Cli: def __init__(self, module): self._module = module self._device_configs = {} def exec_command(self, command): if isinstance(command, dict): command = self._module.jsonify(command) return exec_command(self._module, command) def get_config(self, flags=[]): """Retrieves the current config from the device or cache """ cmd = 'show running-config ' cmd += ' '.join(flags) cmd = cmd.strip() try: return self._device_configs[cmd] except KeyError: rc, out, err = self.exec_command(cmd) if rc != 0: self._module.fail_json(msg=to_text(err, errors='surrogate_then_replace')) cfg = to_text(out, errors='surrogate_then_replace').strip() self._device_configs[cmd] = cfg return cfg def run_commands(self, commands, check_rc=True): """Run list of commands on remote device and return results """ responses = list() for item in to_list(commands): if item['output'] == 'json' and not is_json(item['command']): cmd = '%s | json' % item['command'] elif item['output'] == 'text' and is_json(item['command']): cmd = item['command'].split('|')[0] else: cmd = item['command'] rc, out, err = self.exec_command(cmd) out = to_text(out, errors='surrogate_then_replace') if check_rc and rc != 0: self._module.fail_json(msg=to_text(err, errors='surrogate_then_replace')) try: out = self._module.from_json(out) except ValueError: out = str(out).strip() responses.append(out) return responses def load_config(self, config, return_error=False): """Sends configuration commands to the remote device """ rc, out, err = self.exec_command('configure') if rc != 0: self._module.fail_json(msg='unable to enter configuration mode', output=to_text(err, errors='surrogate_then_replace')) msgs = [] for cmd in config: rc, out, err = self.exec_command(cmd) if rc != 0: self._module.fail_json(msg=to_text(err, errors='surrogate_then_replace')) elif out: msgs.append(out) self.exec_command('end') return msgs class Nxapi: OUTPUT_TO_COMMAND_TYPE = { 'text': 'cli_show_ascii', 'json': 'cli_show', 'bash': 'bash', 'config': 'cli_conf' } def __init__(self, module): self._module = module self._nxapi_auth = None self._device_configs = {} self._module.params['url_username'] = self._module.params['username'] self._module.params['url_password'] = self._module.params['password'] host = self._module.params['host'] port = self._module.params['port'] if self._module.params['use_ssl']: proto = 'https' port = port or 443 else: proto = 'http' port = port or 80 self._url = '%s://%s:%s/ins' % (proto, host, port) def _error(self, msg, **kwargs): self._nxapi_auth = None if 'url' not in kwargs: kwargs['url'] = self._url self._module.fail_json(msg=msg, **kwargs) def _request_builder(self, commands, output, version='1.0', chunk='0', sid=None): """Encodes a NXAPI JSON request message """ try: command_type = self.OUTPUT_TO_COMMAND_TYPE[output] except KeyError: msg = 'invalid format, received %s, expected one of %s' % \ (output, ','.join(self.OUTPUT_TO_COMMAND_TYPE.keys())) self._error(msg=msg) if isinstance(commands, (list, set, tuple)): commands = ' ;'.join(commands) msg = { 'version': version, 'type': command_type, 'chunk': chunk, 'sid': sid, 'input': commands, 'output_format': 'json' } return dict(ins_api=msg) def send_request(self, commands, output='text', check_status=True, return_error=False): # only 10 show commands can be encoded in each request # messages sent to the remote device if output != 'config': commands = collections.deque(to_list(commands)) stack = list() requests = list() while commands: stack.append(commands.popleft()) if len(stack) == 10: body = self._request_builder(stack, output) data = self._module.jsonify(body) requests.append(data) stack = list() if stack: body = self._request_builder(stack, output) data = self._module.jsonify(body) requests.append(data) else: body = self._request_builder(commands, 'config') requests = [self._module.jsonify(body)] headers = {'Content-Type': 'application/json'} result = list() timeout = self._module.params['timeout'] for req in requests: if self._nxapi_auth: headers['Cookie'] = self._nxapi_auth response, headers = fetch_url( self._module, self._url, data=req, headers=headers, timeout=timeout, method='POST' ) self._nxapi_auth = headers.get('set-cookie') if headers['status'] != 200: self._error(**headers) try: response = self._module.from_json(response.read()) except ValueError: self._module.fail_json(msg='unable to parse response') if response['ins_api'].get('outputs'): output = response['ins_api']['outputs']['output'] for item in to_list(output): if check_status and item['code'] != '200': if return_error: result.append(item) else: self._error(output=output, **item) elif 'body' in item: result.append(item['body']) # else: # error in command but since check_status is disabled # silently drop it. # result.append(item['msg']) return result def get_config(self, flags=[]): """Retrieves the current config from the device or cache """ cmd = 'show running-config ' cmd += ' '.join(flags) cmd = cmd.strip() try: return self._device_configs[cmd] except KeyError: out = self.send_request(cmd) cfg = str(out[0]).strip() self._device_configs[cmd] = cfg return cfg def run_commands(self, commands, check_rc=True): """Run list of commands on remote device and return results """ output = None queue = list() responses = list() def _send(commands, output): return self.send_request(commands, output, check_status=check_rc) for item in to_list(commands): if is_json(item['command']): item['command'] = str(item['command']).split('|')[0] item['output'] = 'json' if all((output == 'json', item['output'] == 'text')) or all((output == 'text', item['output'] == 'json')): responses.extend(_send(queue, output)) queue = list() output = item['output'] or 'json' queue.append(item['command']) if queue: responses.extend(_send(queue, output)) return responses def load_config(self, commands, return_error=False): """Sends the ordered set of commands to the device """ commands = to_list(commands) msg = self.send_request(commands, output='config', check_status=True, return_error=return_error) if return_error: return msg else: return [] def is_json(cmd): return str(cmd).endswith('| json') def is_text(cmd): return not is_json(cmd) def is_nxapi(module): transport = module.params['transport'] provider_transport = (module.params['provider'] or {}).get('transport') return 'nxapi' in (transport, provider_transport) def to_command(module, commands): if is_nxapi(module): default_output = 'json' else: default_output = 'text' transform = ComplexList(dict( command=dict(key=True), output=dict(default=default_output), prompt=dict(), answer=dict() ), module) commands = transform(to_list(commands)) for item in commands: if is_json(item['command']): item['output'] = 'json' return commands def get_config(module, flags=[]): conn = get_connection(module) return conn.get_config(flags) def run_commands(module, commands, check_rc=True): conn = get_connection(module) return conn.run_commands(to_command(module, commands), check_rc) def load_config(module, config, return_error=False): conn = get_connection(module) return conn.load_config(config, return_error=return_error)

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module_st/F_find_DEM_bn.py

Qinayan/Soil-thickness

0

109408

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Aug 12 15:21:31 2019 @author: qinayan """ import os import numpy as np def find_DEM_bn(eta): #------------- # find the boundary index #------------- nrows,ncols = eta.shape eta_vector = eta.flatten()*1.0 validID = np.where(eta_vector>0)[0] xn = [-1,0,1,-1,1,-1, 0, 1] yn = [1, 1,1, 0,0,-1,-1,-1] bn_ID = [] ghostbn_ID = [] for i in validID: irows = i//ncols icols = i%ncols for n in range (0,8): if (irows+xn[n]<=nrows-1) and (irows+xn[n]>=0) and (icols+yn[n]<=ncols-1) and icols+yn[n]>=0: if eta[irows+xn[n],icols+yn[n]] < 0.0: bn_ID.append((irows)*ncols+(icols)) ghostbn_ID.append((irows+xn[n])*ncols+(icols+yn[n])) #-------------- # remove duplicate numbers in bn_ID. bn_ID has duplicate number happends # when the bondary grid has more than one # neighbours which is outsided of the dem domain #-------------- bn_ID_unique = [] for item in bn_ID: if item not in bn_ID_unique: bn_ID_unique.append(item) bn_ID_unique_arr = np.array(bn_ID_unique) bn_ID_arr = np.array(bn_ID) ghostbn_ID_arr = np.array(ghostbn_ID) current_dir = os.getcwd() os.chdir(current_dir+'/GeoData/') np.save('DEM_Sf_bn_id',bn_ID_unique_arr) # save the ID without deleteing duplicate numbers np.save('DEM_Sf_bn_id_dup',bn_ID_arr) np.save('DEM_Sf_ghostbn_id_dup',ghostbn_ID_arr) os.chdir(current_dir) return (bn_ID_unique_arr, bn_ID_arr,ghostbn_ID_arr)

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holocron/utils/data/collate.py

MateoLostanlen/Holocron

181

145348

<reponame>MateoLostanlen/Holocron # Copyright (C) 2019-2021, <NAME>. # This program is licensed under the Apache License version 2. # See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0.txt> for full license details. import numpy as np import torch from torch import Tensor from torch.utils.data._utils.collate import default_collate from typing import Tuple, List __all__ = ['mixup_collate'] def mixup_collate(data: List[Tuple[Tensor, int]], alpha: float = 0.1) -> Tuple[Tensor, Tensor, Tensor, float]: """Implements a batch collate function with MixUp strategy from `"mixup: Beyond Empirical Risk Minimization" <https://arxiv.org/pdf/1710.09412.pdf>`_ Args: data: list of elements alpha: mixup factor Returns: interpolated input original target resorted target interpolation factor Example:: >>> import torch >>> from holocron import utils >>> loader = torch.utils.data.DataLoader(dataset, batch_size, collate_fn=utils.data.mixup_collate) """ inputs, targets = default_collate(data) # Sample lambda if alpha > 0: lam = np.random.beta(alpha, alpha) else: lam = 1 # Mix batch indices batch_size = inputs.size()[0] index = torch.randperm(batch_size) # Create the new input and targets inputs = lam * inputs + (1 - lam) * inputs[index, :] targets_a, targets_b = targets, targets[index] return inputs, targets_a, targets_b, lam

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openstates/data/migrations/0042_delete_personcontactdetail.py

csnardi/openstates-core

9

1604329

<reponame>csnardi/openstates-core # Generated by Django 3.2.2 on 2021-10-13 19:07 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("data", "0041_personoffice"), ] operations = [ migrations.DeleteModel( name="PersonContactDetail", ), ]

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Medium/Remove Covered Intervals.py

Koushik-Deb/LeetCode

0

196399

class Solution: def removeCoveredIntervals(self, intervals: List[List[int]]) -> int: intervals.sort(reverse=True,key=lambda x:(x[1],-x[0])) # print(intervals) slen = len(intervals) count = slen for i in range(slen-1): # print(intervals[i],intervals[i+1]) if intervals[i][0]<=intervals[i+1][0] and intervals[i][1]>=intervals[i+1][1]: # print("wh") intervals[i+1] = intervals[i] count-=1 return count

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app/consumers.py

hongphuong0211/Shrimp-Farming-Management-System

1

174957

<filename>app/consumers.py from channels.generic.websocket import AsyncWebsocketConsumer import json class Consumer(AsyncWebsocketConsumer): async def connect(self): self.user_name = self.scope['url_route']['kwargs']['user_name'] await self.channel_layer.group_add( self.user_name, self.channel_name ) await self.accept() async def disconnect(self, close_code): await self.channel_layer.group_discard( self.user_name, self.channel_name ) await self.close() async def update_params(self, event): await self.send(text_data=json.dumps(event['text']))

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src/webpub_manifest_parser/epub/ast.py

tdilauro/webpub-manifest-parser

1

72222

<reponame>tdilauro/webpub-manifest-parser from webpub_manifest_parser.core.ast import LinkProperties, Metadata, Node from webpub_manifest_parser.core.parsers import ArrayParser, EnumParser from webpub_manifest_parser.core.properties import ( EnumProperty, IntegerProperty, Property, StringProperty, TypeProperty, URIProperty, ) class EPUBPresentationHints(Node): """EPUB presentation hints.""" layout = EnumProperty("layout", required=False, items=["fixed", "reflowable"]) class EPUBMetadata(Metadata): """EPUB metadata.""" presentation = TypeProperty( "presentation", required=False, nested_type=EPUBPresentationHints ) class EPUBEncryptionSettings(Node): """EPUB encryption settings.""" algorithm = URIProperty("algorithm", required=True) compression = StringProperty("compression", required=False) original_length = IntegerProperty("originalLength", required=False) profile = URIProperty("profile", required=False) scheme = URIProperty("scheme", required=False) class EPUBLinkProperties(LinkProperties): """EPUB link properties.""" contains = Property( "contains", required=False, parser=ArrayParser( item_parser=EnumParser( ["mathml", "onix", "remote-resources", "js", "svg", "xmp"] ), unique_items=True, ), ) layout = EnumProperty("layout", False, ["fixed", "reflowable"]) encryption_settings = TypeProperty("encrypted", False, EPUBEncryptionSettings)

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src/ikea_api/__init__.py

momoson/ikea-api-client

14

80891

<reponame>momoson/ikea-api-client<gh_stars>10-100 from __future__ import annotations from typing import Any from ikea_api._constants import Constants from ikea_api._endpoints.auth import get_guest_token from ikea_api._endpoints.cart import Cart from ikea_api._endpoints.item_ingka import IngkaItems from ikea_api._endpoints.item_iows import IowsItems from ikea_api._endpoints.item_pip import PipItem from ikea_api._endpoints.order_capture import OrderCapture from ikea_api._endpoints.purchases import Purchases from ikea_api._endpoints.search import Search, SearchType from ikea_api._utils import format_item_code, parse_item_codes __all__ = [ "IKEA", "IngkaItems", "IowsItems", "PipItem", "format_item_code", "parse_item_codes", ] class IKEA: token: str def __init__( self, token: str | None = None, *, country_code: str = "ru", language_code: str = "ru", ) -> None: self.token = token # type: ignore Constants.COUNTRY_CODE = country_code Constants.LANGUAGE_CODE = language_code def login_as_guest(self) -> None: """Log in as guest. Token expires in 30 days.""" self.token = get_guest_token() @property def cart(self) -> Cart: """Manage cart.""" if not hasattr(self, "_cart"): self._cart = Cart(self.token) return self._cart def order_capture( self, *, zip_code: str, state_code: str | None = None ) -> OrderCapture: """Get available delivery services.""" return OrderCapture(self.token, zip_code=zip_code, state_code=state_code) @property def purchases(self) -> Purchases: """Get information about your purchases.""" if not hasattr(self, "_purchases"): self._purchases = Purchases(self.token) return self._purchases def search( self, query: str, *, limit: int = 24, types: list[SearchType] = ["PRODUCT"] ) -> dict[str, dict[str, Any] | list[Any]]: """Search the IKEA product catalog by product name""" return Search()(query=query, limit=limit, types=types)

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generators/lib/length_cutter.py

yautay/polish_wordlists

4

105785

<reponame>yautay/polish_wordlists from generators.lib.generator import Generator class LengthCutter(Generator): def __init__(self, minimum, maximum, **kwargs): super(LengthCutter, self).__init__(**kwargs) self.iterate_over_file(minimum, maximum) def iterate_over_file(self, _min, _max): received = 0 processed = 0 with open(self.file_in, "r") as _input: with open(self.file_out, "w") as output: for line in _input: received += 1 if _min <= len(line) <= _max: output.write(line + "\n") processed += 1 print("Processed {} of words in file".format(received)) print("Omitted {} words".format(received - processed)) print("Saved {} words in output file".format(processed))

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seqnmf/seqnmf.py

calebweinreb/seqnmf-gpu

0

1605502

from jax.scipy.signal import convolve2d as conv2 import jax, jax.numpy as jnp import tqdm import numpy as np import seaborn as sns from matplotlib import pyplot as plt from matplotlib import gridspec from .helpers import reconstruct, reconstruct_numpy, shift_factors, compute_loadings_percent_power, get_shapes, shifted_matrix_product, trim_shapes def update_W(W, H, X, Lambda, M, L, K, smooth_kernel, eps, lambda_OrthW, lambda_L1W): X_hat = reconstruct(W, H) X = jnp.where(M==0, X_hat, X) XHT = shifted_matrix_product(X,H.T,jnp.arange(L)-1,None,0) X_hat_HT = shifted_matrix_product(X_hat,H.T,jnp.arange(L)-1,None,0) XS = conv2(X, smooth_kernel, 'same') XS_HT = shifted_matrix_product(XS, H.T, jnp.arange(L)-1,None,0) dWWdW = jnp.dot(lambda_OrthW * jnp.sum(W, axis=2), 1. - jnp.eye(K)) dRdW = Lambda * jax.vmap(lambda x: jnp.dot(x, 1-jnp.eye(K)))(XS_HT) + lambda_L1W + dWWdW return W * jnp.moveaxis(jnp.divide(XHT, X_hat_HT + dRdW + eps),0,2) def seqnmf_iter(W, H, X, X_hat, Lambda, M, L, K, smooth_kernel, shift, eps, W_fixed, lambda_OrthW, lambda_OrthH, lambda_L1W, lambda_L1H): WTX = shifted_matrix_product(W.T,X,-jnp.arange(L)+1,0,1).sum(0) WTX_hat = shifted_matrix_product(W.T,X_hat,-jnp.arange(L)+1,0,1).sum(0) dRdH = jnp.dot(Lambda * (1 - jnp.eye(K)), conv2(WTX, smooth_kernel, 'same')) dHHdH = jnp.dot(lambda_OrthH * (1 - jnp.eye(K)), conv2(H, smooth_kernel, 'same')) dRdH += lambda_L1H + dHHdH H = H * jnp.divide(WTX, WTX_hat + dRdH + eps) W,H = jax.lax.cond(shift, shift_factors, lambda WH: WH, (W,H)) W = W + eps*shift norms = jnp.sqrt(jnp.sum(jnp.power(H, 2), axis=1)).T H = jnp.dot(jnp.diag(jnp.divide(1., norms + eps)), H) W = jax.vmap(jnp.dot, in_axes=(2,None), out_axes=2)(W,jnp.diag(norms)) update = lambda w: update_W(w, H, X, Lambda, M, L, K, smooth_kernel, eps, lambda_OrthW, lambda_L1W) W = jax.lax.cond(not W_fixed, update, lambda w: w, W) X_hat = reconstruct(W, H) X = jnp.where(M==0, X_hat, X) cost = jnp.sqrt(jnp.mean(jnp.power(X - X_hat, 2))) return W, H, X, X_hat, cost def seqnmf(X, K=10, L=100, Lambda=.001, W_init=None, H_init=None, plot_it=False, max_iter=100, tol=-np.inf, shift=True, sort_factors=True, lambda_L1W=0, lambda_L1H=0, lambda_OrthH=0, lambda_OrthW=0, M=None, W_fixed=False): ''' :param X: an N (features) by T (timepoints) data matrix to be factorized using seqNMF :param K: the (maximum) number of factors to search for; any unused factors will be set to all zeros :param L: the (maximum) number of timepoints to consider in each factor; any unused timepoints will be set to zeros :param Lambda: regularization parameter (default: 0.001) :param W_init: initial factors (if unspecified, use random initialization) :param H_init: initial per-timepoint factor loadings (if unspecified, initialize randomly) :param plot_it: if True, display progress in each update using a plot (default: False) :param max_iter: maximum number of iterations/updates :param tol: if cost is within tol of the average of the previous 5 updates, the algorithm will terminate (default: tol = -inf) :param shift: allow timepoint shifts in H :param sort_factors: sort factors by time :param lambda_L1W: regularization parameter for W (default: 0) :param lambda_L1H: regularization parameter for H (default: 0) :param lambda_OrthH: regularization parameter for H (default: 0) :param lambda_OrthW: regularization parameter for W (default: 0) :param M: binary mask of the same size as X, used to ignore a subset of the data during training (default: use all data) :param W_fixed: if true, fix factors (W), e.g. for cross validation (default: False) :return: :W: N (features) by K (factors) by L (per-factor timepoints) tensor of factors :H: K (factors) by T (timepoints) matrix of factor loadings (i.e. factor timecourses) :cost: a vector of length (number-of-iterations + 1) containing the initial cost and cost after each update (i.e. the reconstruction error) :loadings: the per-factor loadings-- i.e. the explanatory power of each individual factor :power: the total power (across all factors) explained by the full reconstruction ''' assert np.all(X >= 0), 'all data values must be positive!' N = X.shape[0] T = X.shape[1] + 2 * L X = jnp.concatenate((jnp.zeros([N, L]), X, jnp.zeros([N, L])), axis=1) if W_init is None: W_init = jnp.array(np.max(X) * np.random.rand(N, K, L)) if H_init is None: H_init = jnp.array(np.max(X) * np.random.rand(K, T) / np.sqrt(T / 3)) if M is None: M = jnp.ones([N, T]) W = W_init H = H_init X_hat = reconstruct(W, H) X = jnp.where(M==0, X_hat, X) smooth_kernel = jnp.ones([1, (2 * L) - 1]) eps = jnp.max(X) * 1e-6 last_time = False costs = np.zeros(max_iter + 1) costs[0] = jnp.sqrt(jnp.mean(jnp.power(X - X_hat, 2))) update = jax.jit(lambda W,H,X,X_hat,Lambda: seqnmf_iter( W, H, X, X_hat, Lambda, M, L, K, smooth_kernel, shift, eps, W_fixed, lambda_OrthW, lambda_OrthH, lambda_L1W, lambda_L1H)) for i in tqdm.trange(max_iter): if (i == max_iter - 1) or ((i > 6) and (costs[i + 1] + tol) > np.mean(costs[i - 6:i])): costs = costs[:(i + 2)] last_time = True if i > 0: Lambda = 0 W, H, X, X_hat, cost = update(W, H, X, X_hat, Lambda) costs[i] = cost if plot_it: if i > 0: try: h.close() except: pass h = plot(W, H) h.suptitle(f'iteration {i}', fontsize=8) h.show() if last_time: break X = X[:, L:-L] X_hat = X_hat[:, L:-L] H = H[:, L:-L] power = jnp.divide(jnp.sum(jnp.power(X, 2)) - jnp.sum(jnp.power(X - X_hat, 2)), jnp.sum(jnp.power(X, 2))) loadings = compute_loadings_percent_power(X, W, H) W = np.array(W) H = np.array(H) power = np.array(power) loadings = np.array(loadings) if sort_factors: inds = np.flip(np.argsort(loadings), 0) loadings = loadings[inds] W = W[:, inds, :] H = H[inds, :] return W, H, costs, loadings, power def plot(W, H, cmap='gray_r', factor_cmap='Spectral'): ''' :param W: N (features) by K (factors) by L (per-factor timepoints) tensor of factors :param H: K (factors) by T (timepoints) matrix of factor loadings (i.e. factor timecourses) :param cmap: colormap used to draw heatmaps for the factors, factor loadings, and data reconstruction :param factor_cmap: colormap used to distinguish individual factors :return f: matplotlib figure handle ''' N, K, L, T = get_shapes(W, H) W, H = trim_shapes(W, H, N, K, L, T) data_recon = reconstruct_numpy(W, H) fig = plt.figure(figsize=(5, 5)) gs = gridspec.GridSpec(2, 2, width_ratios=[1, 4], height_ratios=[1, 4]) ax_h = plt.subplot(gs[1]) ax_w = plt.subplot(gs[2]) ax_data = plt.subplot(gs[3]) # plot W, H, and data_recon sns.heatmap(np.hstack(list(map(np.squeeze, np.split(W, K, axis=1)))), cmap=cmap, ax=ax_w, cbar=False) sns.heatmap(H, cmap=cmap, ax=ax_h, cbar=False) sns.heatmap(data_recon, cmap=cmap, ax=ax_data, cbar=False) # add dividing bars for factors of W and H factor_colors = sns.color_palette(factor_cmap, K) for k in np.arange(K): plt.sca(ax_w) start_w = k * L plt.plot([start_w, start_w], [0, N - 1], '-', color=factor_colors[k]) plt.sca(ax_h) plt.plot([0, T - 1], [k, k], '-', color=factor_colors[k]) return fig

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cookbook/c08/p15_delegate_attribute.py

itpubs/python3-cookbook

3

137690

<filename>cookbook/c08/p15_delegate_attribute.py #!/usr/bin/env python # -*- encoding: utf-8 -*- """ Topic: 属性访问代理 Desc : """ class A: def spam(self, x): pass def foo(self): pass class B1: """简单的代理""" def __init__(self): self._a = A() def spam(self, x): # Delegate to the internal self._a instance return self._a.spam(x) def foo(self): # Delegate to the internal self._a instance return self._a.foo() def bar(self): pass class B2: """使用__getattr__的代理，代理方法比较多时候""" def __init__(self): self._a = A() def bar(self): pass # Expose all of the methods defined on class A def __getattr__(self, name): """这个方法在访问的attribute不存在的时候被调用 the __getattr__() method is actually a fallback method that only gets called when an attribute is not found""" return getattr(self._a, name) b = B2() b.bar() # Calls B.bar() (exists on B) b.spam(42) # Calls B.__getattr__('spam') and delegates to A.spam # A proxy class that wraps around another object, but # exposes its public attributes class Proxy: def __init__(self, obj): self._obj = obj # Delegate attribute lookup to internal obj def __getattr__(self, name): print('getattr:', name) return getattr(self._obj, name) # Delegate attribute assignment def __setattr__(self, name, value): if name.startswith('_'): super().__setattr__(name, value) else: print('setattr:', name, value) setattr(self._obj, name, value) # Delegate attribute deletion def __delattr__(self, name): if name.startswith('_'): super().__delattr__(name) else: print('delattr:', name) delattr(self._obj, name) class Spam: def __init__(self, x): self.x = x def bar(self, y): print('Spam.bar:', self.x, y) # Create an instance s = Spam(2) # Create a proxy around it p = Proxy(s) # Access the proxy print(p.x) # Outputs 2 p.bar(3) # Outputs "Spam.bar: 2 3" p.x = 37 # Changes s.x to 37 class ListLike: """__getattr__对于双下划线开始和结尾的方法是不能用的，需要一个个去重定义""" def __init__(self): self._items = [] def __getattr__(self, name): return getattr(self._items, name) # Added special methods to support certain list operations def __len__(self): return len(self._items) def __getitem__(self, index): return self._items[index] def __setitem__(self, index, value): self._items[index] = value def __delitem__(self, index): del self._items[index] a = ListLike() a.append(2) a.insert(0, 1) a.sort() print(len(a)) class A: def spam(self, x): print('A.spam', x) def foo(self): print('A.foo') class B(A): def spam(self, x): print('B.spam') super().spam(x) def bar(self): print('B.bar') class A: def spam(self, x): print('A.spam', x) def foo(self): print('A.foo') class B: def __init__(self): self._a = A() def spam(self, x): print('B.spam', x) self._a.spam(x) def bar(self): print('B.bar') def __getattr__(self, name): return getattr(self._a, name)

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hanging_points_cnn/create_dataset/merge_all_dataset.py

kosuke55/hanging_points_cnn

4

196021

#!/usr/bin/env python # coding: utf-8 import argparse import glob import os.path as osp from merge_dataset import merge_two_dataset if __name__ == '__main__': parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument( '--base_dir', '-b', type=str, help='base_dir', default='/media/kosuke/SANDISK/meshdata/ycb_hanging_object/hoge') parser.add_argument( '--out_dir', '-o', type=str, help='out dir', default='/media/kosuke/SANDISK/meshdata/ycb_hanging_object/hoge/merged') args = parser.parse_args() base_dir = args.base_dir out_dir = args.out_dir dirs = glob.glob(osp.join(base_dir, '*')) c = 0 for dir in dirs: f = glob.glob(osp.join(dir, 'depth', '*')) # print(f) print(dir + ', len:{}'.format(len(f))) c += len(f) merge_two_dataset(input_dir_1=dirs[0], input_dir_2=dirs[1], out_dir=out_dir) for i in range(len(dirs) - 2): print(dirs[i + 2]) merge_two_dataset(input_dir_1=out_dir, input_dir_2=dirs[i + 2], out_dir=out_dir) f = glob.glob(osp.join(out_dir, 'depth', '*')) print('Expected number: {}, Actual number: {}'.format(c, len(f))) assert c == len(f), '{} was expected but {}'.format(c, len(f))

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python_pb2/go/chromium/org/luci/buildbucket/proto/rpc_prpc_pb2.py

allaparthi/monorail

0

161405

<filename>python_pb2/go/chromium/org/luci/buildbucket/proto/rpc_prpc_pb2.py # Generated by the pRPC protocol buffer compiler plugin. DO NOT EDIT! # source: go.chromium.org/luci/buildbucket/proto/rpc.proto import base64 import zlib from google.protobuf import descriptor_pb2 # Includes description of the go.chromium.org/luci/buildbucket/proto/rpc.proto and all of its transitive # dependencies. Includes source code info. 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FILE_DESCRIPTOR_SET.file } BuildsServiceDescription = { 'file_descriptor_set': FILE_DESCRIPTOR_SET, 'file_descriptor': _INDEX[u'go.chromium.org/luci/buildbucket/proto/rpc.proto']['descriptor'], 'service_descriptor': _INDEX[u'go.chromium.org/luci/buildbucket/proto/rpc.proto']['services'][u'Builds'], }

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tests/misc/test_log.py

svidoso/ipopo

65

88371

#!/usr/bin/env python # -- Content-Encoding: UTF-8 -- """ Tests the log service :author: <NAME> """ # Standard library import logging import sys import time try: import unittest2 as unittest except ImportError: import unittest # type: ignore # Pelix import pelix.framework import pelix.misc from pelix.ipopo.constants import use_ipopo from pelix.misc.log import LOG_DEBUG, LOG_INFO, LOG_WARNING, LOG_ERROR # ------------------------------------------------------------------------------ __version_info__ = (1, 0, 1) __version__ = ".".join(str(x) for x in __version_info__) # ------------------------------------------------------------------------------ class LogServiceTest(unittest.TestCase): """ Tests the log service """ def setUp(self): """ Prepares a framework and a registers a service to export """ # Create the framework self.framework = pelix.framework.create_framework( ('pelix.ipopo.core', 'pelix.misc.log')) self.framework.start() # Get the service self.logger = self._get_logger() self.reader = self._get_reader() # Setup logging level logging.getLogger().setLevel(logging.INFO) def tearDown(self): """ Cleans up for next test """ # Stop the framework pelix.framework.FrameworkFactory.delete_framework(self.framework) self.logger = None self.reader = None self.framework = None def _get_logger(self): """ Returns the log service """ context = self.framework.get_bundle_context() ref = context.get_service_reference(pelix.misc.LOG_SERVICE) return context.get_service(ref) def _get_reader(self): """ Returns the log reader service """ context = self.framework.get_bundle_context() ref = context.get_service_reference(pelix.misc.LOG_READER_SERVICE) return context.get_service(ref) def test_log(self): """ Basic tests for the log service """ # Try to log at various log levels prev_logs = [] for level, osgi_level in ( (logging.DEBUG, LOG_DEBUG), (logging.INFO, LOG_INFO), (logging.WARNING, LOG_WARNING), (logging.ERROR, LOG_ERROR), (logging.CRITICAL, LOG_ERROR)): # Log at the expected level self.logger.log(level, logging.getLevelName(level)) # Get new logs new_logs = self.reader.get_log() latest = new_logs[-1] # Check time stamp self.assertLessEqual( latest.time, time.time() + .5, "Log in future") self.assertGreaterEqual( latest.time, time.time() - 10, "Log too far in past") # Check stored info self.assertEqual(latest.level, level, "Wrong log level") self.assertEqual(latest.osgi_level, osgi_level, "Wrong OSGi log level") self.assertEqual(latest.message, logging.getLevelName(level), "Wrong log message") self.assertIs(latest.bundle, self.framework, "No bundle info") self.assertIsNone(latest.exception, "Unexpected exception data") self.assertIsNone(latest.reference, "Unexpected reference data") # Compare list (not tuples) new_logs = list(new_logs) self.assertListEqual(new_logs, prev_logs + [latest], "Logs list changed") prev_logs = new_logs def test_logging(self): """ Tests if logs made with the logging are handled """ # Debug logs aren't taken into account logging.debug("Some log message at %s", logging.getLevelName(logging.DEBUG)) self.assertListEqual( list(self.reader.get_log()), [], "Debug message logged") # Try to log at various log levels prev_logs = [] for level, osgi_level in ( (logging.INFO, LOG_INFO), (logging.WARNING, LOG_WARNING), (logging.ERROR, LOG_ERROR), (logging.CRITICAL, LOG_ERROR)): # Log at the expected level logging.log(level, "Some log message at %s", logging.getLevelName(level)) # Get new logs new_logs = self.reader.get_log() latest = new_logs[-1] # Check time stamp self.assertLessEqual( latest.time, time.time() + .5, "Log in future") self.assertGreaterEqual( latest.time, time.time() - 10, "Log too far in past") # Check stored info self.assertEqual(latest.level, level, "Wrong log level") self.assertEqual(latest.osgi_level, osgi_level, "Wrong OSGi log level") self.assertIn(logging.getLevelName(level), latest.message, "Wrong log message") self.assertIsNone(latest.bundle, "Unexpected bundle info") self.assertIsNone(latest.exception, "Unexpected exception data") self.assertIsNone(latest.reference, "Unexpected reference data") # Check string representation self.assertIn(logging.getLevelName(level), str(latest)) # Compare list (not tuples) new_logs = list(new_logs) self.assertListEqual(new_logs, prev_logs + [latest], "Logs list changed") prev_logs = new_logs def test_logging_filter_level(self): """ Tests the change of filter for the logging handler """ for filter_level in (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR): for int_level in (True, False): # Restart the framework self.tearDown() self.setUp() # Ensure logging emits all records logging.getLogger().setLevel(logging.DEBUG) # Change the framework property and reload the log service if int_level: self.framework.add_property( pelix.misc.PROPERTY_LOG_LEVEL, filter_level) else: self.framework.add_property( pelix.misc.PROPERTY_LOG_LEVEL, logging.getLevelName(filter_level)) self.framework.get_bundle_by_name("pelix.misc.log").update() self.logger = self._get_logger() self.reader = self._get_reader() # Log for each level for level in (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR): # Log something logging.log(level, "Some log at %s", logging.getLevelName(level)) try: latest = self.reader.get_log()[-1] if level >= filter_level: self.assertIn(logging.getLevelName(level), latest.message) except IndexError: if level >= filter_level: self.fail("Missing a log matching the filter") # Try with invalid levels, default level is INFO filter_level = logging.INFO for invalid in (None, "", "deb", "ug", "foobar", {1: 2}, [1, 2]): # Restart the framework self.tearDown() self.setUp() # Change the framework property and reload the log service self.framework.add_property(pelix.misc.PROPERTY_LOG_LEVEL, invalid) self.framework.get_bundle_by_name("pelix.misc.log").update() self.logger = self._get_logger() self.reader = self._get_reader() # Log for each level for level in (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR): # Log something logging.log(level, "Some log at %s", logging.getLevelName(level)) try: latest = self.reader.get_log()[-1] if level >= filter_level: self.assertIn(logging.getLevelName(level), latest.message) except IndexError: if level >= filter_level: self.fail("Missing a log matching the filter") def test_listener(self): """ Tests when log listeners are notified """ entries = [] # Prepare the listener class Listener: @staticmethod def logged(entry): entries.append(entry) listener = Listener() # Register it twice self.reader.add_log_listener(listener) self.reader.add_log_listener(listener) # Also, check with a null log listener self.reader.add_log_listener(None) # Log something self.logger.log(logging.WARNING, "Some log") # Get the log entry through the service latest = self.reader.get_log()[-1] # Compare with what we stored self.assertListEqual(entries, [latest], "Bad content for the listener") # Clean up del entries[:] # Unregister the listener once self.reader.remove_log_listener(listener) # Log something self.logger.log(logging.WARNING, "Some log") # Nothing must have been logged self.assertListEqual(entries, [], "Something has been logged") # Nothing must happen if we unregister the listener twice self.reader.remove_log_listener(listener) self.reader.remove_log_listener(None) def test_bad_listener(self): """ Tests a listener raising an exception """ # Prepare the listener class GoodListener: def __init__(self): self.entries = [] def logged(self, entry): self.entries.append(entry) raise OSError("Something went wrong") class BadListener(GoodListener): def logged(self, entry): super(BadListener, self).logged(entry) raise OSError("Something went wrong") good1 = GoodListener() bad = GoodListener() good2 = GoodListener() # Register listeners self.reader.add_log_listener(good1) self.reader.add_log_listener(bad) self.reader.add_log_listener(good2) # Log something self.logger.log(logging.WARNING, "Some log") # Get the log entry through the service latest = self.reader.get_log()[-1] self.assertEqual(latest.level, logging.WARNING) for listener in (good1, bad, good2): self.assertIs(latest, listener.entries[-1], "Entry not kept") def test_reference(self): """ Tests the service reference handling in logs """ # Register a service, with the Framework context context = self.framework.get_bundle_context() svc_reg = context.register_service("test.svc", object(), {}) svc_ref = svc_reg.get_reference() # Log something self.logger.log(logging.WARNING, "Some text", reference=svc_ref) # Check what has been stored latest = self.reader.get_log()[-1] self.assertIs(latest.reference, svc_ref, "Wrong service reference") self.assertIs(latest.bundle, self.framework, "Wrong bundle found") # Log with wrong references for wrong_ref in (None, object(), svc_reg): self.logger.log(logging.WARNING, "Some text", reference=wrong_ref) latest = self.reader.get_log()[-1] self.assertIsNone(latest.reference, "Non-None service reference") self.assertIs(latest.bundle, self.framework, "No bundle info") def test_bundle(self): """ Tests the detection of the calling bundle """ # Install a test bundle context = self.framework.get_bundle_context() bnd = context.install_bundle("tests.misc.log_bundle") module = bnd.get_module() bnd.start() # Instantiate a test component with use_ipopo(context) as ipopo: comp = ipopo.instantiate(module.SIMPLE_FACTORY, "test.log", {}) # Log something comp.log(logging.WARNING, "Some log") # Check the bundle latest = self.reader.get_log()[-1] self.assertIs(latest.bundle, bnd, "Wrong bundle found") # Check if the bundle in the string representation self.assertIn(bnd.get_symbolic_name(), str(latest)) # Remove the name of the module: this should not mess with the result comp.remove_name() # Log something comp.log(logging.WARNING, "Some log") # Check the bundle latest = self.reader.get_log()[-1] self.assertIs(latest.bundle, bnd, "Wrong bundle found") # Call from the framework self.logger.log(logging.WARNING, "final log") latest = self.reader.get_log()[-1] self.assertIs(latest.bundle, self.framework, "Wrong bundle") def test_exception(self): """ Tests the exception information """ try: raise ValueError("Some error") except ValueError: self.logger.log(logging.ERROR, "Error!", sys.exc_info()) latest = self.reader.get_log()[-1] self.assertTrue(isinstance(latest.exception, str), "Exception info must be a string") self.assertIn(__file__, latest.exception, "Incomplete exception info") # Check if the exception in the string representation self.assertIn(latest.exception, str(latest)) # Check invalid exception info for invalid in ([], [1, 2], (4, 5, 6)): self.logger.log(logging.ERROR, "Error!", invalid) latest = self.reader.get_log()[-1] self.assertEqual(latest.exception, '<Invalid exc_info>')

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naturtag/controllers/taxon_search.py

JWCook/inat-image-tagger

1

108074

"""Components for searching for taxa""" from logging import getLogger from typing import Optional from pyinaturalist import RANKS, IconPhoto, Taxon from PySide6.QtCore import QSize, Qt, Signal, Slot from PySide6.QtGui import QIcon from PySide6.QtWidgets import QApplication, QComboBox, QLabel, QPushButton, QWidget from naturtag.app.style import fa_icon from naturtag.client import INAT_CLIENT from naturtag.constants import SELECTABLE_ICONIC_TAXA from naturtag.settings import Settings from naturtag.widgets import ( GridLayout, HorizontalLayout, PixmapLabel, TaxonAutocomplete, ToggleSwitch, VerticalLayout, ) from naturtag.widgets.images import IconLabel IGNORE_TERMS = ['sub', 'super', 'infra', 'epi', 'hybrid'] COMMON_RANKS = [r for r in RANKS if not any([k in r for k in IGNORE_TERMS])][::-1] logger = getLogger(__name__) class TaxonSearch(VerticalLayout): """Taxon search""" on_results = Signal(list) #: New search results were loaded on_reset = Signal() #: Input fields were reset def __init__(self, settings: Settings): super().__init__() self.selected_taxon: Taxon = None self.settings = settings self.setAlignment(Qt.AlignTop) # Taxon name autocomplete self.autocomplete = TaxonAutocomplete() search_group = self.add_group('Search', self, width=400) search_group.addWidget(self.autocomplete) self.autocomplete.returnPressed.connect(self.search) # Category inputs self.iconic_taxon_filters = IconicTaxonFilters() categories = self.add_group('Categories', self, width=400) categories.addWidget(self.iconic_taxon_filters) # Rank inputs self.ranks = self.add_group('Rank', self, width=400) self.reset_ranks() # Clear exact rank after selecting min or max, and vice versa self.min_rank.dropdown.activated.connect(self.exact_rank.reset) self.max_rank.dropdown.activated.connect(self.exact_rank.reset) self.exact_rank.dropdown.activated.connect(self.min_rank.reset) self.exact_rank.dropdown.activated.connect(self.max_rank.reset) # Button to search for children of selected taxon # TODO: If more than one toggle filter is added, consolidate with settings_menu.ToggleSetting group_box = self.add_group('Parent', self, width=400) button_layout = HorizontalLayout() button_layout.setAlignment(Qt.AlignLeft) button_layout.addWidget(IconLabel('mdi.file-tree', size=20)) group_box.addLayout(button_layout) self.search_children_desc = QLabel('Search within children of selected taxon') self.search_children_desc.setTextFormat(Qt.RichText) button_layout.addWidget(self.search_children_desc) button_layout.addStretch() self.search_children_switch = ToggleSwitch() button_layout.addWidget(self.search_children_switch) # Search/reset buttons button_layout = HorizontalLayout() search_button = QPushButton('Search') search_button.setMaximumWidth(200) search_button.setIcon(fa_icon('fa.search')) search_button.clicked.connect(self.search) button_layout.addWidget(search_button) reset_button = QPushButton('Reset') reset_button.setMaximumWidth(200) reset_button.setIcon(fa_icon('mdi.backspace')) reset_button.clicked.connect(self.reset) button_layout.addWidget(reset_button) self.addLayout(button_layout) def search(self): """Search for taxa with the currently selected filters""" taxon_ids = self.iconic_taxon_filters.selected_iconic_taxa if self.search_children_switch.isChecked(): taxon_ids.append(self.selected_taxon.id) taxa = INAT_CLIENT.taxa.search( q=self.autocomplete.text(), taxon_id=taxon_ids, rank=self.exact_rank.text, min_rank=self.min_rank.text, max_rank=self.max_rank.text, preferred_place_id=self.settings.preferred_place_id, locale=self.settings.locale, limit=30, ).all() logger.debug('\n'.join([str(t) for t in taxa[:10]])) self.on_results.emit(taxa) def reset(self): """Reset all search filters""" self.autocomplete.setText('') self.iconic_taxon_filters.reset() self.reset_ranks() self.search_children_switch.setChecked(False) self.on_reset.emit() def reset_ranks(self): self.exact_rank = RankList('Exact', 'fa5s.equals', all_ranks=self.settings.all_ranks) self.min_rank = RankList( 'Minimum', 'fa5s.greater-than-equal', all_ranks=self.settings.all_ranks ) self.max_rank = RankList( 'Maximum', 'fa5s.less-than-equal', all_ranks=self.settings.all_ranks ) self.ranks.clear() self.ranks.addLayout(self.exact_rank) self.ranks.addLayout(self.min_rank) self.ranks.addLayout(self.max_rank) @Slot(Taxon) def set_taxon(self, taxon: Taxon): self.selected_taxon = taxon self.search_children_desc.setText(f'Search within children of <b><i>{taxon.name}</i></b>') class IconicTaxonFilters(QWidget): """Filters for iconic taxa""" on_select = Signal(int) # A filter was selected def __init__(self): super().__init__() self.button_layout = GridLayout(self, n_columns=6) self.setFocusPolicy(Qt.StrongFocus) for id, name in SELECTABLE_ICONIC_TAXA.items(): button = IconicTaxonButton(id, name) button.clicked.connect(self.on_click) self.button_layout.add_widget(button) @property def selected_iconic_taxa(self) -> list[int]: return [t.taxon_id for t in self.button_layout.widgets if t.isChecked()] def reset(self, except_id: str = None): """Reset all buttons, or all except one""" for button in self.button_layout.widgets: if button.taxon_id != except_id: button.setChecked(False) @Slot() def on_click(self): """Ctrl-click to select multiple buttons. Otherwise, when pressing a button, uncheck all other buttons and display the corresponding taxon. """ if QApplication.keyboardModifiers() != Qt.ControlModifier: button_taxon_id = self.sender().taxon_id self.reset(except_id=button_taxon_id) self.on_select.emit(button_taxon_id) class IconicTaxonButton(QPushButton): """Button used as a filter for iconic taxa""" def __init__(self, taxon_id: int, name: str): super().__init__() self.taxon_id = taxon_id self.name = name photo = IconPhoto.from_iconic_taxon(name) img = PixmapLabel(url=photo.thumbnail_url) self.setIcon(QIcon(img.pixmap())) self.setIconSize(QSize(45, 45)) self.setCheckable(True) self.setFixedSize(50, 50) self.setContentsMargins(0, 0, 0, 0) self.setToolTip(name) class RankList(HorizontalLayout): """Taxonomic rank dropdown""" def __init__(self, label: str, icon_str: str, all_ranks: bool = False): super().__init__() self.setAlignment(Qt.AlignLeft) self.addWidget(IconLabel(icon_str, size=20)) self.addWidget(QLabel(label)) self.addStretch() ranks = RANKS if all_ranks else COMMON_RANKS self.dropdown = QComboBox() self.dropdown.addItems([''] + ranks[::-1]) self.addWidget(self.dropdown) def reset(self): self.dropdown.setCurrentIndex(0) @property def text(self) -> Optional[str]: return self.dropdown.currentText() or None

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wemake_python_styleguide/visitors/ast/complexity/jones.py

lensvol/wemake-python-styleguide

1

1607652

# -*- coding: utf-8 -*- """ Jones Complexity to count inline complexity. Based on the original `jones-complexity` project: https://github.com/Miserlou/JonesComplexity Original project is licensed under MIT. """ import ast from collections import defaultdict from statistics import median from typing import DefaultDict, List from typing_extensions import final from wemake_python_styleguide.compat.aliases import FunctionNodes from wemake_python_styleguide.violations.complexity import ( JonesScoreViolation, LineComplexityViolation, ) from wemake_python_styleguide.visitors.base import BaseNodeVisitor @final class JonesComplexityVisitor(BaseNodeVisitor): """ This visitor is used to find complex lines in the code. Calculates the number of AST nodes per line of code. Also calculates the median nodes/line score. Then compares these numbers to the given tressholds. Some nodes are ignored because there's no sense in analyzing them. Some nodes like type annotations are not affecting line complexity, so we do not count them. """ _ignored_nodes = ( ast.ClassDef, *FunctionNodes, ) def __init__(self, *args, **kwargs) -> None: """Initializes line number counter.""" super().__init__(*args, **kwargs) self._lines: DefaultDict[int, List[ast.AST]] = defaultdict(list) self._to_ignore: List[ast.AST] = [] def visit(self, node: ast.AST) -> None: """ Visits all nodes, sums the number of nodes per line. Then calculates the median value of all line results. Raises: JonesScoreViolation LineComplexityViolation """ line_number = getattr(node, 'lineno', None) is_ignored = isinstance(node, self._ignored_nodes) if line_number is not None and not is_ignored: if not self._maybe_ignore_child(node): self._lines[line_number].append(node) self.generic_visit(node) def _post_visit(self) -> None: """ Triggers after the whole module was processed. Checks each line for its complexity, compares it to the tresshold. We also calculate the final Jones score for the whole module. """ for line_nodes in self._lines.values(): complexity = len(line_nodes) if complexity > self.options.max_line_complexity: self.add_violation( LineComplexityViolation( line_nodes[0], text=str(complexity), baseline=self.options.max_line_complexity, ), ) node_counts = [len(nodes) for nodes in self._lines.values()] total_count = median(node_counts) if node_counts else 0 if total_count > self.options.max_jones_score: self.add_violation( JonesScoreViolation( text=str(total_count), baseline=self.options.max_jones_score, ), ) def _maybe_ignore_child(self, node: ast.AST) -> bool: if isinstance(node, ast.AnnAssign): self._to_ignore.append(node.annotation) return node in self._to_ignore

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python/test/resource/test_dataset_mixed.py

Fosstack/vmaf

2,874

109074

<gh_stars>1000+ dataset_name = 'example' quality_width = 1920 quality_height = 1080 from vmaf.config import VmafConfig ref_videos = [ {'content_id': 0, 'path': VmafConfig.resource_path('yuv', 'checkerboard_1920_1080_10_3_0_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 1920, 'height': 1080}, {'content_id': 1, 'path': VmafConfig.resource_path('yuv', 'flat_1920_1080_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 720, 'height': 480}, ] dis_videos = [ {'content_id': 0, 'asset_id': 0, 'dmos': 100, 'path': VmafConfig.resource_path('yuv', 'checkerboard_1920_1080_10_3_0_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 1920, 'height': 1080}, # ref {'content_id': 0, 'asset_id': 1, 'dmos': 50, 'path': VmafConfig.resource_path('yuv', 'checkerboard_1920_1080_10_3_1_0.264'), 'yuv_fmt': 'notyuv',}, {'content_id': 1, 'asset_id': 2, 'dmos': 100, 'path': VmafConfig.resource_path('yuv', 'flat_1920_1080_0.yuv'), 'yuv_fmt': 'yuv420p', 'width': 720, 'height': 480}, # ref {'content_id': 1, 'asset_id': 3, 'dmos': 80, 'path': VmafConfig.resource_path('yuv', 'flat_1920_1080_10.264'), 'yuv_fmt': 'notyuv',}, ]

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cinder/tests/unit/zonemanager/test_cisco_fc_zone_driver.py

lightsey/cinder

3

76346

# (c) Copyright 2014 Cisco Systems Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # """Unit tests for Cisco FC zone driver.""" from unittest import mock from oslo_concurrency import processutils from oslo_config import cfg from oslo_utils import importutils from cinder import exception from cinder import test from cinder.volume import configuration as conf from cinder.zonemanager.drivers.cisco import cisco_fc_zone_driver as driver _active_cfg_before_add = {} _active_cfg_before_delete = { 'zones': { 'openstack10008c7cff523b0120240002ac000a50': ( ['fd00:c2b6:b24b:be67:2827:688d:e6a1:6a3b', 'fc00:db20:35b:7399::5'])}, 'active_zone_config': 'cfg1'} _active_cfg_default = { 'zones': { 'openstack10008c7cff523b0120240002ac000b90': ( ['fd00:c2b6:b24b:be67:2827:688d:e6a1:6a3b', 'fc00:db20:35b:7399::5'])}, 'active_zone_config': 'cfg1'} _activate = True _zone_name = 'openstack10008c7cff523b0120240002ac000a50' _target_ns_map = {'100000051e55a100': ['20240002ac000a50']} _zoning_status = {'mode': 'basis', 'session': 'none'} _initiator_ns_map = {'100000051e55a100': ['10008c7cff523b01']} _zone_map_to_add = {'openstack10008c7cff523b0120240002ac000a50': ( ['fd00:c2b6:b24b:be67:2827:688d:e6a1:6a3b', 'fc00:db20:35b:7399::5'])} _initiator_target_map = {'10008c7cff523b01': ['20240002ac000a50']} _device_map_to_verify = { '304': { 'initiator_port_wwn_list': [ '10008c7cff523b01'], 'target_port_wwn_list': ['20240002ac000a50']}} _fabric_wwn = '304' class CiscoFcZoneDriverBaseTest(object): def setup_config(self, is_normal, mode): fc_test_opts = [ cfg.StrOpt('fc_fabric_address_CISCO_FAB_1', default='10.24.48.213', help='FC Fabric names'), ] configuration = conf.Configuration(fc_test_opts) # fill up config configuration.zoning_mode = 'fabric' configuration.zone_driver = ('cinder.tests.unit.zonemanager.' 'test_cisco_fc_zone_driver.' 'FakeCiscoFCZoneDriver') configuration.cisco_sb_connector = ('cinder.tests.unit.zonemanager.' 'test_cisco_fc_zone_driver' '.FakeCiscoFCZoneClientCLI') configuration.zoning_policy = 'initiator-target' configuration.zone_activate = True configuration.zone_name_prefix = 'openstack' configuration.fc_san_lookup_service = ('cinder.tests.unit.zonemanager.' 'test_cisco_fc_zone_driver.' 'FakeCiscoFCSanLookupService') configuration.fc_fabric_names = 'CISCO_FAB_1' configuration.fc_fabric_address_CISCO_FAB_1 = '172.21.60.220' if (is_normal): configuration.fc_fabric_user_CISCO_FAB_1 = 'admin' else: configuration.fc_fabric_user_CISCO_FAB_1 = 'invaliduser' configuration.fc_fabric_password_CISCO_FAB_1 = '<PASSWORD>' if (mode == 1): configuration.zoning_policy_CISCO_FAB_1 = 'initiator-target' elif (mode == 2): configuration.zoning_policy_CISCO_FAB_1 = 'initiator' else: configuration.zoning_policy_CISCO_FAB_1 = 'initiator-target' configuration.zone_activate_CISCO_FAB_1 = True configuration.zone_name_prefix_CISCO_FAB_1 = 'openstack' configuration.zoning_vsan_CISCO_FAB_1 = '304' return configuration class TestCiscoFcZoneDriver(CiscoFcZoneDriverBaseTest, test.TestCase): def setUp(self): super(TestCiscoFcZoneDriver, self).setUp() # setup config for normal flow self.setup_driver(self.setup_config(True, 1)) GlobalVars._zone_state = [] def setup_driver(self, config): self.driver = importutils.import_object( 'cinder.zonemanager.drivers.cisco.cisco_fc_zone_driver' '.CiscoFCZoneDriver', configuration=config) def fake_get_active_zone_set(self, fabric_ip, fabric_user, fabric_pwd, zoning_vsan): return GlobalVars._active_cfg def fake_get_san_context(self, target_wwn_list): fabric_map = {} return fabric_map def test_delete_connection(self): GlobalVars._is_normal_test = True GlobalVars._active_cfg = _active_cfg_before_delete self.driver.delete_connection( 'CISCO_FAB_1', _initiator_target_map) self.assertNotIn(_zone_name, GlobalVars._zone_state) def test_delete_connection_for_initiator_mode(self): GlobalVars._is_normal_test = True GlobalVars._active_cfg = _active_cfg_before_delete self.setup_driver(self.setup_config(True, 2)) self.driver.delete_connection( 'CISCO_FAB_1', _initiator_target_map) self.assertNotIn(_zone_name, GlobalVars._zone_state) @mock.patch.object(driver.CiscoFCZoneDriver, 'get_zoning_status') @mock.patch.object(driver.CiscoFCZoneDriver, 'get_active_zone_set') def test_add_connection(self, get_active_zone_set_mock, get_zoning_status_mock): """Test normal flows.""" GlobalVars._is_normal_test = True GlobalVars._zone_state = [] self.setup_driver(self.setup_config(True, 1)) get_zoning_status_mock.return_value = {'mode': 'basis', 'session': 'none'} get_active_zone_set_mock.return_value = _active_cfg_default self.driver.add_connection('CISCO_FAB_1', _initiator_target_map) self.assertTrue(_zone_name in GlobalVars._zone_state) @mock.patch.object(driver.CiscoFCZoneDriver, 'get_zoning_status') @mock.patch.object(driver.CiscoFCZoneDriver, 'get_active_zone_set') def test_add_connection_with_no_cfg(self, get_active_zone_set_mock, get_zoning_status_mock): """Test normal flows.""" GlobalVars._is_normal_test = True GlobalVars._zone_state = [] self.setup_driver(self.setup_config(True, 1)) get_zoning_status_mock.return_value = {'mode': 'basis', 'session': 'none'} get_active_zone_set_mock.return_value = {} self.driver.add_connection('CISCO_FAB_1', _initiator_target_map) self.assertTrue(_zone_name in GlobalVars._zone_state) def test_add_connection_for_invalid_fabric(self): """Test abnormal flows.""" GlobalVars._is_normal_test = True GlobalVars._active_cfg = _active_cfg_before_add GlobalVars._is_normal_test = False self.setup_driver(self.setup_config(False, 1)) self.assertRaises(exception.FCZoneDriverException, self.driver.add_connection, 'CISCO_FAB_1', _initiator_target_map) def test_delete_connection_for_invalid_fabric(self): GlobalVars._active_cfg = _active_cfg_before_delete GlobalVars._is_normal_test = False self.setup_driver(self.setup_config(False, 1)) self.assertRaises(exception.FCZoneDriverException, self.driver.delete_connection, 'CISCO_FAB_1', _initiator_target_map) class FakeCiscoFCZoneClientCLI(object): def __init__(self, ipaddress, username, password, port, vsan): if not GlobalVars._is_normal_test: raise processutils.ProcessExecutionError( "Unable to connect to fabric") def get_active_zone_set(self): return GlobalVars._active_cfg def add_zones(self, zones, activate, fabric_vsan, active_zone_set, zone_status): GlobalVars._zone_state.extend(zones.keys()) def delete_zones(self, zone_names, isActivate): zone_list = zone_names.split(';') GlobalVars._zone_state = [ x for x in GlobalVars._zone_state if x not in zone_list] def get_nameserver_info(self): return _target_ns_map def get_zoning_status(self): return _zoning_status def close_connection(self): pass def cleanup(self): pass class FakeCiscoFCSanLookupService(object): def get_device_mapping_from_network(self, initiator_wwn_list, target_wwn_list): device_map = {} initiators = [] targets = [] for i in initiator_wwn_list: if (i in _initiator_ns_map[_fabric_wwn]): initiators.append(i) for t in target_wwn_list: if (t in _target_ns_map[_fabric_wwn]): targets.append(t) device_map[_fabric_wwn] = { 'initiator_port_wwn_list': initiators, 'target_port_wwn_list': targets} return device_map class GlobalVars(object): global _active_cfg _active_cfg = {} global _zone_state _zone_state = list() global _is_normal_test _is_normal_test = True global _zoning_status _zoning_status = {}

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coreservices/partsrelationshipservice/connectors_scripts/consume_artifact.py

Agera-CatenaX/SpikeEclipseConnectorPRSTractusx

0

66595

<gh_stars>0 #!/usr/bin/env python3 # # Copyright 2020 Fraunhofer Institute for Software and Systems Engineering # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # # This script is based on the following script: # https://github.com/International-Data-Spaces-Association/DataspaceConnector/blob/main/scripts/tests/contract_negotation_allow_access.py # The original script creates an artifact. This script only consume an artifact. # from resourceapi import ResourceApi from idsapi import IdsApi import requests import pprint import sys consumer_url = sys.argv[1] consumed_artifact = sys.argv[2] relative_reference = sys.argv[3] # User having an access to the consumer connector. user = sys.argv[4] password = sys.argv[5] # Suppress ssl verification warning requests.packages.urllib3.disable_warnings() consumerResources = ResourceApi(consumer_url, auth=(user, password)) pprint.pprint(consumed_artifact) data = consumerResources.get_data(consumed_artifact, relative_reference, headers={"accept": "application/json"}).text pprint.pprint("Consumer data url to access the artifact:") pprint.pprint(consumed_artifact + "/data") pprint.pprint("Data obtained:") pprint.pprint(data) exit(0)

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topfarm/tests/test_constraint/test_capacityComp.py

DTUWindEnergy/TopFarm2

4

170905

<gh_stars>1-10 from topfarm.constraint_components.capacity import CapacityConstraint import numpy as np import topfarm from topfarm.tests.test_files import xy3tb from topfarm._topfarm import TopFarmProblem from topfarm.easy_drivers import EasySimpleGADriver def test_capacity_as_penalty(): tf = xy3tb.get_tf(design_vars={topfarm.type_key: ([0, 0, 0], 0, 2)}, constraints=[CapacityConstraint(5, rated_power_array=[100, 10000, 10])], driver=EasySimpleGADriver(), plot_comp=None) # check normal result that satisfies the penalty assert tf.evaluate()[0] == 141.0 # check penalized result if capacity constraint is not satisfied assert tf.evaluate({'type': np.array([0, 1, 1])})[0] == 1e10 + 15.1 def test_capacity_tf(): # 15 turbines, 5 different types, 50MW max installed capacity n_wt = 15 rated_power_array_kW = np.linspace(1, 10, int(n_wt / 3)) * 1e3 inputtypes = np.tile(np.array([range(int(n_wt / 3))]), 3).flatten() tf = TopFarmProblem({'type': inputtypes}, constraints=[CapacityConstraint(max_capacity=50, rated_power_array=rated_power_array_kW)], driver=EasySimpleGADriver() ) tf.evaluate() # case above the maximum allowed installed capacity, yes penalty assert tf["totalcapacity"] == 82.5 assert tf['penalty_comp.penalty_capacity_comp_50'] == 32.5 # set all turbines type 0, still 15 turbines and re-run the problem tf.evaluate({'type': inputtypes * 0}) # case below the maximum allowed installed capacity, no penalty assert tf["totalcapacity"] == 15 assert tf['penalty_comp.penalty_capacity_comp_50'][0] == 0.0

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examples/example_ME5ME6.py

bmachiel/python-substratestack

1

39300

#!/bin/env python # import the technology's complete stack definition from example import stack # in order to decrease simulation times, some metal layers can be removed from # the stack, allowing more oxide layers to be merged in the next step stack.remove_metal_layer_by_name('PO1') stack.remove_metal_layer_by_name('ME1') stack.remove_metal_layer_by_name('ME2') stack.remove_metal_layer_by_name('ME3') stack.remove_metal_layer_by_name('ME4') #stack.remove_metal_layer_by_name('ME5') #stack.remove_metal_layer_by_name('ME6') if __name__ == '__main__': # Print the standardized stack to example_ME5ME6_std.pdf stack.draw('example_ME5ME6_std', pages=3, single_page=True) # Merge oxide layers to reduce the stack's complexity, decreasing simulation # times stack.simplify() if __name__ == '__main__': # Print the simplified stack to example_ME5ME6.pdf stack.draw('example_ME5ME6', pages=3, single_page=True) # Write out a Momentum subtrate definition file of the simplified stack # write_momentum_substrate argument: filename (without extension), # infinite ground plane # NOTE: this might produce bad output when the stack has not been # simplified before! stack.write_momentum_substrate('example_ME5ME6', True) # Write out a Sonnet project that includes the simplified subtrate stack # write_sonnet_technology argument: filename (without extension) # NOTE: this might produce bad output when the stack has not been # simplified before! stack.write_sonnet_technology('example_ME5ME6')

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decoders/b64Decode.py

crattis/dfir_scripts

6

197700

<reponame>crattis/dfir_scripts<filename>decoders/b64Decode.py #! python3 import base64 baseFile = open('base64.txt', 'r') decode = baseFile.read() plainFile = open('b64_plain.txt', 'wb') plainFile.write(base64.b64decode(decode)) baseFile.close() plainFile.close()

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demo_numpy/numpy_11_single_array.py

caserwin/daily-learning-python

1

168313

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2019-04-17 15:58 # @Author : erwin import numpy as np from common.util_function import * np.set_printoptions(precision=3) arr = np.linspace(0, 100, 10).reshape((2, 5)) print_line("原始数据") print_br(arr) print_line("单个array操作") print_br(np.add(arr, 2)) print_br(np.subtract(arr, 2)) print_br(np.multiply(arr, 2)) print_br(np.divide(arr, 2)) print_br(np.power(arr, 2)) print_line("平方以及开方") print_br(np.power(arr, 2)) print_br(np.sqrt(arr)) print_line("sin/cos/log/abs") print_br(np.sin(arr)) print_br(np.cos(arr)) # print_br(np.log(arr1)) print_br(np.abs(arr)) print_line("向上取整/向下取整/四舍五入") print_br(np.ceil(arr)) print_br(np.floor(arr)) print_br(np.round(arr))

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valorant_api/httpclient.py

TriDiscord/valorant-api

0

91386

<gh_stars>0 import requests from .exceptions import * import json import aiohttp # class MainClient: # headers: dict = {} # run_async: bool # get = None # def __init__(self, headers: dict, run_async: bool = False) -> None: # self.headers = headers # self.run_async = run_async # def GetSync(self,endpoint: str,params: dict = None): # client = SyncClient # client.headers = self.headers # return client.get(endpoint, endpoint, params) # async def GetAsync(self,endpoint: str,params: dict=None): # client = AsyncClient # client.headers = self.headers # return await client.get(endpoint, endpoint, params) class SyncClient: headers: dict = {} params: dict = {} def __init__(self, headers=None, params=None) -> None: if params is None: self.params = {} else: self.params = params if headers is None: self.headers = {} else: self.headers = headers def get(self, url: str): response = requests.get(url, params=self.params, headers=self.headers) try: data = response.json() except json.JSONDecodeError: data = {'error': response.text} if response.status_code == 200: return data["data"] elif response.status_code == 400: raise InvalidOrMissingParameter(data["error"]) elif response.status_code == 404: raise NotFound(data["error"]) else: raise Exception(f'{data.get("error", "An error unknown occurred")}, status code {response.status_code}') class AsyncClient: headers: dict = {} params: dict = {} def __init__(self, headers=None, params=None) -> None: if params is None: self.params = {} else: self.params = params if headers is None: self.headers = {} else: self.headers = headers async def get(self, url: str): async with aiohttp.ClientSession() as session: async with session.get(url, params=self.params, headers=self.headers) as response: try: data = await response.json() except aiohttp.ContentTypeError: data = {'error': response.text} if response.status == 200: return data["data"] elif response.status == 400: raise InvalidOrMissingParameter(data["error"]) elif response.status == 404: raise NotFound(data["error"]) else: raise Exception( f'{data.get("error", "An error unknown occurred")}, status code {response.status}')

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fire/trace.py

nvhoang55/python-fire

0

886

<reponame>nvhoang55/python-fire<gh_stars>0 # Copyright (C) 2018 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """This module has classes for tracing the execution of a Fire execution. A FireTrace consists of a sequence of FireTraceElement objects. Each element represents an action taken by Fire during a single Fire execution. An action may be instantiating a class, calling a routine, or accessing a property. Each action consumes args and results in a new component. The final component is serialized to stdout by Fire as well as returned by the Fire method. If a Fire usage error occurs, such as insufficient arguments being provided to call a function, then that error will be captured in the trace and the final component will be None. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import pipes from fire import inspectutils INITIAL_COMPONENT = 'Initial component' INSTANTIATED_CLASS = 'Instantiated class' CALLED_ROUTINE = 'Called routine' CALLED_CALLABLE = 'Called callable' ACCESSED_PROPERTY = 'Accessed property' COMPLETION_SCRIPT = 'Generated completion script' INTERACTIVE_MODE = 'Entered interactive mode' class FireTrace(object): """A FireTrace represents the steps taken during a single Fire execution. A FireTrace consists of a sequence of FireTraceElement objects. Each element represents an action taken by Fire during a single Fire execution. An action may be instantiating a class, calling a routine, or accessing a property. """ def __init__(self, initial_component, name=None, separator='-', verbose=False, show_help=False, show_trace=False): initial_trace_element = FireTraceElement( component=initial_component, action=INITIAL_COMPONENT, ) self.name = name self.separator = separator self.elements = [initial_trace_element] self.verbose = verbose self.show_help = show_help self.show_trace = show_trace def GetResult(self): """Returns the component from the last element of the trace.""" # pytype: disable=attribute-error return self.GetLastHealthyElement().component # pytype: enable=attribute-error def GetLastHealthyElement(self): """Returns the last element of the trace that is not an error. This element will contain the final component indicated by the trace. Returns: The last element of the trace that is not an error. """ for element in reversed(self.elements): if not element.HasError(): return element return None def HasError(self): """Returns whether the Fire execution encountered a Fire usage error.""" return self.elements[-1].HasError() def AddAccessedProperty(self, component, target, args, filename, lineno): element = FireTraceElement( component=component, action=ACCESSED_PROPERTY, target=target, args=args, filename=filename, lineno=lineno, ) self.elements.append(element) def AddCalledComponent(self, component, target, args, filename, lineno, capacity, action=CALLED_CALLABLE): """Adds an element to the trace indicating that a component was called. Also applies to instantiating a class. Args: component: The result of calling the callable. target: The name of the callable. args: The args consumed in order to call this callable. filename: The file in which the callable is defined, or None if N/A. lineno: The line number on which the callable is defined, or None if N/A. capacity: (bool) Whether the callable could have accepted additional args. action: The value to include as the action in the FireTraceElement. """ element = FireTraceElement( component=component, action=action, target=target, args=args, filename=filename, lineno=lineno, capacity=capacity, ) self.elements.append(element) def AddCompletionScript(self, script): element = FireTraceElement( component=script, action=COMPLETION_SCRIPT, ) self.elements.append(element) def AddInteractiveMode(self): element = FireTraceElement(action=INTERACTIVE_MODE) self.elements.append(element) def AddError(self, error, args): element = FireTraceElement(error=error, args=args) self.elements.append(element) def AddSeparator(self): """Marks that the most recent element of the trace used a separator. A separator is an argument you can pass to a Fire CLI to separate args left of the separator from args right of the separator. Here's an example to demonstrate the separator. Let's say you have a function that takes a variable number of args, and you want to call that function, and then upper case the result. Here's how to do it: # in Python def display(arg1, arg2='!'): return arg1 + arg2 # from Bash (the default separator is the hyphen -) display hello # hello! display hello upper # helloupper display hello - upper # HELLO! Note how the separator caused the display function to be called with the default value for arg2. """ self.elements[-1].AddSeparator() def _Quote(self, arg): if arg.startswith('--') and '=' in arg: prefix, value = arg.split('=', 1) return pipes.quote(prefix) + '=' + pipes.quote(value) return pipes.quote(arg) def GetCommand(self, include_separators=True): """Returns the command representing the trace up to this point. Args: include_separators: Whether or not to include separators in the command. Returns: A string representing a Fire CLI command that would produce this trace. """ args = [] if self.name: args.append(self.name) for element in self.elements: if element.HasError(): continue if element.args: args.extend(element.args) if element.HasSeparator() and include_separators: args.append(self.separator) if self.NeedsSeparator() and include_separators: args.append(self.separator) return ' '.join(self._Quote(arg) for arg in args) def NeedsSeparator(self): """Returns whether a separator should be added to the command. If the command is a function call, then adding an additional argument to the command sometimes would add an extra arg to the function call, and sometimes would add an arg acting on the result of the function call. This function tells us whether we should add a separator to the command before adding additional arguments in order to make sure the arg is applied to the result of the function call, and not the function call itself. Returns: Whether a separator should be added to the command if order to keep the component referred to by the command the same when adding additional args. """ element = self.GetLastHealthyElement() return element.HasCapacity() and not element.HasSeparator() def __str__(self): lines = [] for index, element in enumerate(self.elements): line = '{index}. {trace_string}'.format( index=index + 1, trace_string=element, ) lines.append(line) return '\n'.join(lines) def NeedsSeparatingHyphenHyphen(self, flag='help'): """Returns whether a the trace need '--' before '--help'. '--' is needed when the component takes keyword arguments, when the value of flag matches one of the argument of the component, or the component takes in keyword-only arguments(e.g. argument with default value). Args: flag: the flag available for the trace Returns: True for needed '--', False otherwise. """ element = self.GetLastHealthyElement() component = element.component spec = inspectutils.GetFullArgSpec(component) return (spec.varkw is not None or flag in spec.args or flag in spec.kwonlyargs) class FireTraceElement(object): """A FireTraceElement represents a single step taken by a Fire execution. Examples of a FireTraceElement are the instantiation of a class or the accessing of an object member. """ def __init__(self, component=None, action=None, target=None, args=None, filename=None, lineno=None, error=None, capacity=None): """Instantiates a FireTraceElement. Args: component: The result of this element of the trace. action: The type of action (eg instantiating a class) taking place. target: (string) The name of the component being acted upon. args: The args consumed by the represented action. filename: The file in which the action is defined, or None if N/A. lineno: The line number on which the action is defined, or None if N/A. error: The error represented by the action, or None if N/A. capacity: (bool) Whether the action could have accepted additional args. """ self.component = component self._action = action self._target = target self.args = args self._filename = filename self._lineno = lineno self._error = error self._separator = False self._capacity = capacity def HasError(self): return self._error is not None def HasCapacity(self): return self._capacity def HasSeparator(self): return self._separator def AddSeparator(self): self._separator = True def ErrorAsStr(self): return ' '.join(str(arg) for arg in self._error.args) def __str__(self): if self.HasError(): return self.ErrorAsStr() else: # Format is: {action} "{target}" ({filename}:{lineno}) string = self._action if self._target is not None: string += ' "{target}"'.format(target=self._target) if self._filename is not None: path = self._filename if self._lineno is not None: path += ':{lineno}'.format(lineno=self._lineno) string += ' ({path})'.format(path=path) return string

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quest/quest_gui.py

Fluorescence-Tools/quest

0

161360

<gh_stars>0 import tempfile import sip sip.setapi('QDate', 2) sip.setapi('QDateTime', 2) sip.setapi('QString', 2) sip.setapi('QTextStream', 2) sip.setapi('QTime', 2) sip.setapi('QUrl', 2) sip.setapi('QVariant', 2) from PyQt5 import QtGui, QtWidgets import lib import lib.ui.rescource_rc import sys sys.tracebacklimit = 500 # After updating of icon run: # pyrcc4 -o rescource_rc.py rescource.qrc # encoding=utf8 def start_gui(): class Main(QtWidgets.QMainWindow): """ Main window The program is structured in a tree self.rootNode -> n * Experiment -> setup -> datasets -> Fit -> Model """ def __init__(self): QtWidgets.QMainWindow.__init__(self) dg = lib.tools.TransientDecayGenerator(tempfile.gettempdir()) self.setCentralWidget(dg) app = QtWidgets.QApplication(sys.argv) win = Main() win.show() sys.exit(app.exec_()) if __name__ == "__main__": start_gui()

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src/main/python/grammer/Function.py

photowey/python-study

0

27317

# -*- coding:utf-8 -*- # --------------------------------------------- # @file Function.py # @description Function # @author WcJun # @date 2020/06/20 # --------------------------------------------- # 求两个数 n 加到 m 的和 def add(n, m): s = 0 while n <= m: s += n n += 1 return s # 求和 add = add(1, 100) print(add)

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_weeks/week11/preclass_wednesday.py

nahumj/CSE-431

0

89061

<reponame>nahumj/CSE-431<gh_stars>0 import collections import pprint import copy class Node: def __init__(self, id_, data=None): self.id_ = id_ self.data = data def __eq__(self, other): if isinstance(other, Node): return self.id_ == other.id_ return False def __hash__(self): return hash(self.id_) def __repr__(self): return f"Node(id_ = {self.id_}, data = {self.data})" class Graph: def __init__(self): self.nodes = [] self.edges = collections.defaultdict(list) def add_node(self, node): assert node not in self.nodes assert isinstance(node, Node) self.nodes.append(node) def add_edge(self, start_node_id, end_node_id, data=None): assert end_node_id not in self.edges[start_node_id] self.edges[start_node_id].append((end_node_id, data)) def __repr__(self): return f"Graph(nodes={pprint.pformat(self.nodes)}, edges={pprint.pformat(self.edges)})" def breadth_first_traversal(self, start_node_id): discovered = collections.deque() fully_explored = [] done_with = set() discovered.append(start_node_id) done_with.add(start_node_id) while discovered: node_id = discovered.popleft() for child_node_id, _ in self.edges[node_id]: if child_node_id not in done_with: discovered.append(child_node_id) done_with.add(child_node_id) fully_explored.append(node_id) return fully_explored def depth_first_traversal(self, start_node_id): discovered = [] fully_explored = [] done_with = set() discovered.append(start_node_id) done_with.add(start_node_id) while discovered: node_id = discovered[-1] for child_node_id, _ in self.edges[node_id]: if child_node_id not in done_with: discovered.append(child_node_id) done_with.add(child_node_id) break else: pop_id = discovered.pop() assert pop_id == node_id fully_explored.append(node_id) return fully_explored def has_edge(self, start_id, end_id): for existing_end_id, _ in self.edges[start_id]: if end_id == existing_end_id: return True return False def depth_first_search_tree(self, start_node_id): def decorate_dfs_tree(dfs_tree, node_id, depth=0): children = [child_ids for child_ids, data in dfs_tree.edges[node_id] if data is None or "back-edge" not in data] back_edges = [child_ids for child_ids, data in dfs_tree.edges[node_id] if data is not None and data["back-edge"]] is_leaf = not children # save to data nodes_index = dfs_tree.nodes.index(Node(node_id)) assert dfs_tree.nodes[nodes_index].id_ == node_id dfs_tree.nodes[nodes_index].data = {"depth": depth, "is_leaf": is_leaf, "children": children, "back-edges": back_edges} for child_id in children: decorate_dfs_tree(dfs_tree, child_id, depth + 1) dfs_tree = Graph() dfs_tree.add_node(Node(start_node_id)) discovered = [] fully_explored = [] done_with = set() discovered.append(start_node_id) done_with.add(start_node_id) while discovered: node_id = discovered[-1] for child_node_id, _ in self.edges[node_id]: if child_node_id not in done_with: discovered.append(child_node_id) done_with.add(child_node_id) dfs_tree.add_node(Node(child_node_id)) dfs_tree.add_edge(node_id, child_node_id) break else: if child_node_id in discovered and not dfs_tree.has_edge(node_id, child_node_id) and not dfs_tree.has_edge(child_node_id, node_id): dfs_tree.add_edge(node_id, child_node_id, data={"back-edge": True}) else: pop_id = discovered.pop() assert pop_id == node_id fully_explored.append(node_id) decorate_dfs_tree(dfs_tree, start_node_id) return dfs_tree def is_connected(self): if not self.nodes: return True traversal_order = self.breadth_first_traversal(start_node_id=self.nodes[0].id_) return len(traversal_order) == len(self.nodes) def remove_node(self, node): # remove edges with node as start del self.edges[node.id_] # remove edges with node as end for start_id, end_list in self.edges.items(): end_list = [(end_id, edge_data) for end_id, edge_data in end_list if end_id != node.id_] self.edges[start_id] = end_list self.nodes.remove(node) def articulation_nodes_slow(self): """ For each vertex Remove vertex from graph If still connected (do BFS or DFS to see if connected) vertex is an articulation """ articulation_nodes = [] for node in self.nodes: graph_without_node = copy.deepcopy(self) graph_without_node.remove_node(node) if not graph_without_node.is_connected(): articulation_nodes.append(node) return articulation_nodes def articulation_nodes_fast(self): dfs_tree = self.depth_first_search_tree(self.nodes[0].id_) print(dfs_tree) articulation_nodes = [] for node in dfs_tree.nodes: if node.data["depth"] == 0: # root if len(node.data["children"]) > 1: articulation_nodes.append(node) continue if node.data["is_leaf"]: continue # hard case for child_id in node.data["children"]: child_node_index = dfs_tree.nodes.index(Node(child_id)) child_node = dfs_tree.nodes[child_node_index] is_safe_child = False # TODO: Need to check all children in subtree, not just direct children for back_edge in child_node.data["back-edges"]: back_edge_index = dfs_tree.nodes.index(Node(back_edge)) back_edge_node = dfs_tree.nodes[back_edge_index] if back_edge_node.data["depth"] < node.data["depth"]: is_safe_child = True if not is_safe_child: articulation_nodes.append(node) break return articulation_nodes def main(): letter_nodes = "ABCDEFGHI" list_of_tuple_edges = [ ("A", "B"), ("A", "C"), ("A", "F"), ("B", "D"), ("B", "E"), ("B", "I"), ("B", "G"), ("D", "F"), ("D", "G"), ("E", "H"), ("E", "I"), ] graph = Graph() for letter_id in letter_nodes: node = Node(letter_id) graph.add_node(node) for start_node, end_node in list_of_tuple_edges: graph.add_edge(start_node, end_node) graph.add_edge(end_node, start_node) pprint.pprint(graph.articulation_nodes_fast()) if __name__ == "__main__": main()

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vhdl_navigation.py

jalucas42/SmartVHDL

0

128761

from __future__ import absolute_import import sublime, sublime_plugin import re, string, os, sys, functools, mmap, pprint, imp, threading from collections import Counter from plistlib import readPlistFromBytes try: from . import vhdl_module from .util import vhdl_util from .util import sublime_util from .color_scheme_util import st_color_scheme_matcher from .color_scheme_util import rgba except ImportError: sys.path.append(os.path.join(os.path.dirname(__file__), "util")) import vhdl_util import sublime_util sys.path.append(os.path.join(os.path.dirname(__file__), "color_scheme_util")) import st_color_scheme_matcher import rgba ############################################################################ # Init tooltip_css = '' tooltip_flag = 0 show_ref = True def plugin_loaded(): imp.reload(vhdl_util) imp.reload(sublime_util) imp.reload(st_color_scheme_matcher) # Ensure the preference settings are properly reloaded when changed global pref_settings pref_settings = sublime.load_settings('Preferences.sublime-settings') pref_settings.clear_on_change('reload') pref_settings.add_on_change('reload',plugin_loaded) # Ensure the VHDL settings are properly reloaded when changed global vhdl_settings vhdl_settings = sublime.load_settings('VHDL.sublime-settings') vhdl_settings.clear_on_change('reload') vhdl_settings.add_on_change('reload',plugin_loaded) global tooltip_flag if vhdl_settings.get('vhdl.tooltip_hide_on_move',True): tooltip_flag = sublime.HIDE_ON_MOUSE_MOVE_AWAY else: tooltip_flag = 0 global show_ref show_ref = int(sublime.version()) >= 3145 and vhdl_settings.get('vhdl.tooltip_show_refs',True) init_css() def init_css(): global tooltip_css scheme = st_color_scheme_matcher.ColorSchemeMatcher(pref_settings.get('color_scheme')) bg = scheme.get_special_color('background') fg = scheme.get_special_color('foreground') # Create background and border color based on the background color bg_rgb = rgba.RGBA(bg) if bg_rgb.b > 128: bgHtml = bg_rgb.b - 0x33 bgBody = bg_rgb.b - 0x20 else: bgHtml = bg_rgb.b + 0x33 bgBody = bg_rgb.b + 0x20 if bg_rgb.g > 128: bgHtml += (bg_rgb.g - 0x33)<<8 bgBody += (bg_rgb.g - 0x20)<<8 else: bgHtml += (bg_rgb.g + 0x33)<<8 bgBody += (bg_rgb.g + 0x20)<<8 if bg_rgb.r > 128: bgHtml += (bg_rgb.r - 0x33)<<16 bgBody += (bg_rgb.r - 0x20)<<16 else: bgHtml += (bg_rgb.r + 0x33)<<16 bgBody += (bg_rgb.r + 0x20)<<16 tooltip_css = 'html {{ background-color: #{bg:06x}; color: {fg}; }}\n'.format(bg=bgHtml, fg=fg) tooltip_css+= 'body {{ background-color: #{bg:06x}; margin: 1px; font-size: 1em; }}\n'.format(bg=bgBody) tooltip_css+= 'p {padding-left: 0.6em;}\n' tooltip_css+= '.content {margin: 0.8em;}\n' tooltip_css+= 'h1 {font-size: 1.0rem;font-weight: bold; margin: 0 0 0.25em 0;}\n' tooltip_css+= 'a {{color: {c};}}\n'.format(c=fg) tooltip_css+= '.keyword {{color: {c};}}\n'.format(c=scheme.get_color('keyword')) tooltip_css+= '.support {{color: {c};}}\n'.format(c=scheme.get_color('support')) tooltip_css+= '.storage {{color: {c};}}\n'.format(c=scheme.get_color('storage')) tooltip_css+= '.function {{color: {c};}}\n'.format(c=scheme.get_color('support.function')) tooltip_css+= '.entity {{color: {c};}}\n'.format(c=scheme.get_color('entity')) tooltip_css+= '.operator {{color: {c};}}\n'.format(c=scheme.get_color('keyword.operator')) tooltip_css+= '.numeric {{color: {c};}}\n'.format(c=scheme.get_color('constant.numeric')) tooltip_css+= '.string {{color: {c};}}\n'.format(c=scheme.get_color('string')) tooltip_css+= '.extra-info {font-size: 0.9em; }\n' tooltip_css+= '.ref_links {font-size: 0.9em; color: #0080D0; padding-left: 0.6em}\n' ############################################################################ callbacks_on_load = {} class VerilogOnLoadEventListener(sublime_plugin.EventListener): # Called when a file is finished loading. def on_load_async(self, view): global callbacks_on_load if view.file_name() in callbacks_on_load: callbacks_on_load[view.file_name()]() del callbacks_on_load[view.file_name()] ############################################################################ # Display type of the signal/variable under the cursor into the status bar # # Event onHover to display the popup class VhdlShowTypeHover(sublime_plugin.EventListener): def on_hover(self, view, point, hover_zone): # Popup only on text if hover_zone != sublime.HOVER_TEXT: return # Check file size to optionnaly disable the feature (finding the information can be quite long) threshold = view.settings().get('vhdl.hover_max_size',-1) if view.size() > threshold and threshold!=-1 : return # Only show a popup for vhdl, when not in a string of a comment scope = view.scope_name(point) if 'source.vhdl' not in scope: return if any(w in scope for w in ['comment', 'string', 'keyword']): return popup = VhdlTypePopup(view) sublime.set_timeout_async(lambda r=view.word(point), p=point: popup.show(r,p)) class VhdlTypePopup : def __init__(self,view): self.view = view def show(self,region,location): # If nothing is selected expand selection to word if region.empty() : region = self.view.word(region) # Make sure a whole word is selected elif (self.view.classify(region.a) & sublime.CLASS_WORD_START)==0 or (self.view.classify(region.b) & sublime.CLASS_WORD_END)==0: if (self.view.classify(region.a) & sublime.CLASS_WORD_START)==0: region.a = self.view.find_by_class(region.a,False,sublime.CLASS_WORD_START) if (self.view.classify(region.b) & sublime.CLASS_WORD_END)==0: region.b = self.view.find_by_class(region.b,True,sublime.CLASS_WORD_END) v = self.view.substr(region) # trigger on valid word only if not re.match(r'^[A-Za-z_]\w*$',v): return # s,ti = self.get_type(v,region) if not s: sublime.status_message('No definition found for ' + v) else : s = self.color_str(s,True,ti) s = '<style>{css}</style><div class="content">{txt}</div>'.format(css=tooltip_css, txt=s) self.view.show_popup(s,location=location, flags=tooltip_flag, max_width=500, on_navigate=self.on_navigate) def get_type(self,var_name,region): scope = self.view.scope_name(region.a) ti = None txt = '' if 'variable.parameter.port' in scope: if 'meta.block.entity_instantiation' in scope: r_inst = sublime_util.expand_to_scope(self.view,'meta.block.entity_instantiation',region) elif 'meta.block.component_instantiation' in scope: r_inst = sublime_util.expand_to_scope(self.view,'meta.block.component_instantiation',region) inst_txt = self.view.substr(r_inst) m = re.search(r'(?si)(?:(?P<scope>\w+)\.)?(?P<mname>\w+)\s+(?:port|generic)',inst_txt) if m: re_str = r'(?si)(?P<type>component|entity)\s+(?P<name>'+m.group('mname')+r')\s+is\s+(?P<content>.*?)\bend\s+((?P=type)|(?P=name))' info = sublime_util.lookup_symbol(self.view,m.group('mname'),re_str) # print('Port {} in module {} defined in {}'.format(var_name,m.group('mname'),info)) # TODO: handle component if info['match']: ti = vhdl_util.get_type_info(info['match'].group('content'),var_name) if ti: txt = ti['decl'] else : # lookup for a signal/variable declaration in current file lines = self.view.substr(sublime.Region(0, self.view.line(region).b)) ti = vhdl_util.get_type_info(lines,var_name) if ti: txt = ti['decl'] return txt,ti def color_str(self,s, addLink=False, ti_var=None): # Split all text in word, special character, space and line return words = re.findall(r"\w+|[^\w\s]|\s+", s) # print('String = "{}" \n Split => {}'.format(s,words)) # print(ti_var) sh = '' idx_type = -1 link = '' if words[0].lower() in ['signal','variable','constant']: idx_type = 6 link = 'LOCAL@{}:{}'.format(words[0],words[2]) elif words[0] in ['port']: idx_type = 8 link = 'LOCAL@{}:{}'.format(words[0],words[2]) elif ti_var and ti_var['tag']=='generic': idx_type = 4 sh+='<span class="keyword">generic</span> ' link = 'LOCAL@{}:{}'.format(words[0],words[2]) for i,w in enumerate(words): # Check for keyword if w.lower() in ['signal','variable','constant','port','array','downto','upto','of','in','out','inout']: sh+='<span class="keyword">{0}</span>'.format(w) elif w in [':','-','+','=']: sh+='<span class="operator">{0}</span>'.format(w) elif re.match(r'\d+',w): sh+='<span class="numeric">{0}</span>'.format(w) # Type elif i==idx_type: sh+='<span class="storage">{0}</span>'.format(w) # Variable name elif addLink and ti_var and link and w==ti_var['name']: sh+='<a href="{}">{}</a>'.format(link,w) # Unknown words/characters => copy as-is elif not w.strip() : sh += ' ' # Reduce multiple spaces to just one else : sh += w return sh def on_navigate(self, href): href_s = href.split('@') if href_s[0] == 'LOCAL': ws = href_s[1].split(':') if ws[0] == 'port' : s = r'(?si)\b{}\b(,[\w\s,]+)?\s*:\s*(in|out)'.format(ws[1]) else : s = r'(?si)^[ \t]*{}\s+[\w\s,]*\b{}\b'.format(ws[0],ws[1]) r = self.view.find(s,0, sublime.IGNORECASE) if r: sublime_util.move_cursor(self.view,r.a) else : v = self.view.window().open_file(href_s[1], sublime.ENCODED_POSITION) ############################################################################ # Helper function to retrieve current module name based on cursor position # def getModuleName(view): r = view.sel()[0] # Empty selection ? get current module name if r.empty(): re_str = r'(?is)^[ \t]*(?:entity|architecture\s+\w+\s+of)\s+(\w+\b)' mname = sublime_util.find_closest(view,r,re_str) else: mname = view.substr(r) return mname ############################################################### # Create a new buffer showing the hierarchy of current module # hierarchyInfo = {'dict':{}, 'view':None,'fname':'', 'name':''} hierarchyView = None class VhdlShowHierarchyCommand(sublime_plugin.TextCommand): def run(self,edit): mname = getModuleName(self.view) if not mname: print('[VHDL.navigation] No entity/architecture found !') return txt = self.view.substr(sublime.Region(0, self.view.size())) inst_l = vhdl_util.get_inst_list(txt,mname) if not inst_l: print('[VHDL.navigation] No hierarchy found !') return sublime.status_message("Show Hierarchy can take some time, please wait ...") sublime.set_timeout_async(lambda inst_l=inst_l, w=self.view.window(), mname=mname : self.showHierarchy(w,inst_l,mname)) def showHierarchy(self,w,inst_l,mname): # Save info in global for later access global hierarchyInfo hierarchyInfo['dict'] = {} hierarchyInfo['view'] = self.view hierarchyInfo['fname'] = self.view.file_name() hierarchyInfo['name'] = mname # Create Dictionnary where each type is associated with a list of tuple (instance type, instance name) self.d = {} self.d[mname] = inst_l self.unresolved = [] self.component = [] li = list(set(inst_l)) while li: li_next = [] for i in li: inst_type = i[1] if inst_type not in hierarchyInfo['dict'].keys() and inst_type not in self.component: filelist = w.lookup_symbol_in_index(inst_type) filelist = list(set([f[0] for f in filelist])) # print('Symbol {} defined in {}'.format(inst_type,[x[0] for x in filelist])) i_il = [] if filelist: for f in filelist: fname = sublime_util.normalize_fname(f) i_il = vhdl_util.get_inst_list_from_file(fname,inst_type) if i_il is not None: hierarchyInfo['dict'][inst_type] = fname break else : self.unresolved.append(inst_type) if i_il: li_next += i_il self.d[inst_type] = i_il elif i_il is None : self.component.append(inst_type) li = list(set(li_next)) txt = mname + '\n' txt += self.printSubmodule(mname,1) # Check if we open the result in a new window if self.view.settings().get('vhdl.hierarchy_new_window',False): sublime.run_command('new_window') w = sublime.active_window() v = w.new_file() v.settings().set("tab_size", 2) v.set_name(mname + ' Hierarchy') v.set_syntax_file('Packages/Smart VHDL/Find Results VHDL.hidden-tmLanguage') v.set_scratch(True) v.run_command('insert_snippet',{'contents':str(txt)}) def printSubmodule(self,name,lvl): txt = '' if name in self.d: # print('printSubmodule ' + str(self.d[name])) for x in self.d[name]: txt += ' '*lvl if x[1] in self.d : txt += '+ {name} ({type})\n'.format(name=x[0],type=x[1]) if lvl<32 : txt += self.printSubmodule(x[1],lvl+1) else : print('[VHDL.navigation] Hierarchy with more than 20 level not supported !') return else: if x[1] in self.unresolved: comment = ' [U]' elif x[1] in self.component: comment = ' [C]' else: comment = '' txt += '- {name} ({type}){comment}\n'.format(name=x[0],type=x[1],comment=comment) return txt # Navigate within the hierarchy class VhdlHierarchyGotoDefinitionCommand(sublime_plugin.TextCommand): def run(self,edit): global hierarchyInfo r = self.view.sel()[0] if r.empty() : r = self.view.word(r) scope = self.view.scope_name(r.a) fname = '' module_name = self.view.substr(r) inst_name = '' # Not in the proper file ? use standard goto_definition to if 'text.result-vhdl' not in scope: self.view.window().run_command('goto_definition') return if 'entity.name' in scope: l = self.view.substr(self.view.line(r)) indent = (len(l) - len(l.lstrip()))-2 if indent<0: print('[VHDL.navigation] Hierarchy buffer corrupted : Invalid position for an instance !') return elif indent == 0: inst_name = module_name module_name = hierarchyInfo['name'] fname = hierarchyInfo['fname'] else: w = '' # find module parent name txt = self.view.substr(sublime.Region(0,r.a)) m = re.findall(r'^{}\+ \w+\s+$(\w+)$'.format(' '*indent),txt,re.MULTILINE) if m: inst_name = module_name module_name = m[-1] if module_name in hierarchyInfo['dict']: fname = hierarchyInfo['dict'][module_name] elif 'storage.name' in scope: if module_name in hierarchyInfo['dict']: fname = hierarchyInfo['dict'][module_name] elif 'keyword.module' in scope: module_name = hierarchyInfo['name'] fname = hierarchyInfo['fname'] # print('Module={} instance={} (scope={}) => filename = {}'.format(module_name,inst_name,scope,fname)) if fname: v = hierarchyInfo['view'].window().find_open_file(fname) if v : hierarchyInfo['view'].window().focus_view(v) self.goto_symb(v,module_name,inst_name) else : v = hierarchyInfo['view'].window().open_file(fname) global callbacks_on_load callbacks_on_load[fname] = lambda v=v, module_name=module_name, inst_name=inst_name: self.goto_symb(v,module_name,inst_name) else : self.view.window().run_command('goto_definition') def goto_symb(self,v,module_name,inst_name): global hierarchyInfo row=-1 if inst_name : # Find instance symbol position #print('[VHDL.navigation] Looking for instance {} in {}'.format(inst_name,v.symbols())) for x in v.symbols() : if x[1] == inst_name: row,col = v.rowcol(x[0].a) #print('[VHDL.navigation] Found at {}:{}'.format(row,col)) break else : # Find architecture symbol position #print('L[VHDL.navigation] ooking for architecture of {} in {}'.format(module_name,v.symbols())) for x in v.symbols() : if x[1].startswith(module_name+' :'): row,col = v.rowcol(x[0].a) # print('Found at {}:{}'.format(row,col)) break if row>=0: sublime_util.move_cursor(v,v.text_point(row,col)) ########################################################### # Find all instances of current module or selected module # class VhdlFindInstanceCommand(sublime_plugin.TextCommand): def run(self,edit): mname = getModuleName(self.view) sublime.status_message("Find Instance can take some time, please wait ...") sublime.set_timeout_async(lambda x=mname: self.findInstance(x)) def findInstance(self, mname): projname = sublime.active_window().project_file_name() if projname not in vhdl_module.list_module_files: vhdl_module.VhdlModuleInstCommand.get_list_file(None,projname,None) inst_dict = {} cnt = 0 re_str = r'(?si)^\s*(\w+)\s*:\s*(?:use\s+)?(?:entity\s+)?(\w+\.)?{}(\s*$\s*\w+\s*$)?\s+(port|generic)'.format(mname) p = re.compile(re_str,re.MULTILINE) for fn in vhdl_module.list_module_files[projname]: with open(fn) as f: txt = f.read() if mname in txt: for m in re.finditer(p,txt): cnt+=1 lineno = txt.count("\n",0,m.start()+1)+1 res = (m.groups()[0].strip(),lineno) if fn not in inst_dict: inst_dict[fn] = [res] else: inst_dict[fn].append(res) if inst_dict: v = sublime.active_window().new_file() v.set_name(mname + ' Instances') v.set_syntax_file('Packages/Smart VHDL/Find Results VHDL.hidden-tmLanguage') v.settings().set("result_file_regex", r"^(.+):$") v.settings().set("result_line_regex", r"$line: (\d+)$$") v.set_scratch(True) txt = mname + ': %0d instances.\n\n' %(cnt) for (name,il) in inst_dict.items(): txt += name + ':\n' for i in il: txt += ' - {0} (line: {1})\n'.format(i[0].strip(),i[1]) txt += '\n' v.run_command('insert_snippet',{'contents':str(txt)}) else : sublime.status_message("[VHDL] No instance found !")

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consent.py

yawgmoth/NVHanabi

0

75363

consent = """<center><table width="800px"><tr><td> <font size="16"><b>University of Costa Rica<br/> </font> INFORMED CONSENT FORM for RESEARCH<br/></b> <b>Title of Study:</b> Hanabi AI Agents<br/> <b>Principal Investigator:</b> Dr. <NAME> <br/> <h2>What are some general things you should know about research studies?</h2> <p>You are being asked to take part in a research study. Your participation in this study is voluntary. You have the right to be a part of this study, to choose not to participate or to stop participating at any time without penalty. The purpose of research studies is to gain a better understanding of a certain topic or issue. </p> <p>You are not guaranteed any personal benefits from being in a study. Research studies also may pose risks to those that participate. In this consent form you will find specific details about the research in which you are being asked to participate. If you do not understand something in this form it is your right to ask the researcher for clarification or more information. A copy of this consent form will be provided to you. If at any time you have questions about your participation, do not hesitate to contact the researcher(s) named above. </p> <h2>What is the purpose of this study?</h2> <p>The purpose of the study is to determine which type of AI plays well with humans in the cooperative card game Hanabi. <b>You must be between 18 and 64 years to participate.</b></p> <h2>What will happen if you take part in the study?</h2> <p>If you agree to participate in this study, you will play two games of a browser-based implementation of Hanabi with an AI controlled player, and then answer some questions about your experience with the AI and board games in general. If you enjoy your experience (and we hope you do), you can also play more often. </p> <h2>Risks</h2> <p>The risks of this study do not exceed normal computer use. </p> <h2>Benefits</h2> <p>There are no direct benefits to your participation in the research. The indirect benefits are that you may actually enjoy playing the game with the AI. For participating in this study you will receive <b>no compensation.</b></p> <h2>Confidentiality</h2> <p>The information in the study records will be kept confidential to the full extent allowed by law. Data will be stored securely on a secure computer that only the researchers can access. No reference will be made in oral or written reports which could link you to the study. After the conclusion of the study, the information we gathered will be released to the public to foster further research. Note that none of this information can be linked back to you personally, and that you can choose if you want to be included in the published data at the end of the experiment. </p> <h2>What if you are a UCR student?</h2> <p>Participation in this study is not a course requirement and your participation or lack thereof, will not affect your class standing or grades at UCR.</p> <h2>What if you are a UCR employee?</h2> <p>Participation in this study is not a requirement of your employment at UCR, and your participation or lack thereof, will not affect your job.</p> <h2>What if you have questions about this study?</h2> <p>If you have questions at any time about the study itself or the procedures implemented in this study, you may contact the researcher, <NAME> by email: <EMAIL> <h2>Consent To Participate</h2> I have read and understand the above information. I have received a copy of this form. I agree to participate in this study with the understanding that I may choose not to participate or to stop participating at any time without penalty or loss of benefits to which I am otherwise entitled.</td></tr></table></center> """

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CodeWars/6 Kyu/Shoot But As I've Seen It In My Imagination.py

anubhab-code/Competitive-Programming

0

99877

import math def find_prob(balls_set, event): possible = True num = 1 den = 1 balls = dict() available_ball = len(balls_set) for b in balls_set: if b in balls: balls[b] += 1 else: balls[b] = 1 for e in event: lc = ABBREVIATIONS[e] if lc not in balls or balls[lc] == 0: possible = False break num *= balls[lc] den *= available_ball balls[lc] -= 1 available_ball -= 1 g = math.gcd(num, den) den //= g num //= g if possible: return [num, den] else: return ["Impossible"]

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coursedashboards/models/term.py

uw-it-aca/course-dashboards

1

152430

<reponame>uw-it-aca/course-dashboards from django.utils import timezone from django.db import models class Term(models.Model): SPRING = 'spring' SUMMER = 'summer' AUTUMN = 'autumn' WINTER = 'winter' QUARTERNAME_CHOICES = ( (WINTER, 'Winter'), (SPRING, 'Spring'), (SUMMER, 'Summer'), (AUTUMN, 'Autumn'), ) quarter = models.CharField(max_length=6, choices=QUARTERNAME_CHOICES) year = models.PositiveSmallIntegerField() last_queried = models.DateTimeField(null=True, blank=True) term_key = models.PositiveSmallIntegerField(db_index=True, default=0) def __str__(self): return "{}-{}".format(self.year, self.quarter) def get_term_key(self): return self.year * 10 + self._quarter_to_int(self.quarter) def save(self, *args, **kwargs): if self.term_key is 0: self.term_key = self.get_term_key() super(Term, self).save(*args, **kwargs) def __hash__(self): return super().__hash__() def __eq__(self, other): return (other is not None and type(self) == type(other) and self.int_key() == other.int_key()) def __ne__(self, other): return not self.__eq__(other) def __lt__(self, other): return (type(self) == type(other) and self.int_key() < other.int_key()) def __le__(self, other): return self.__lt__(other) or self.__eq__(other) def __gt__(self, other): return (type(self) == type(other) and self.int_key() > other.int_key()) def __ge__(self, other): return self.__gt__(other) or self.__eq__(other) @staticmethod def _quarter_to_int(quarter): if quarter.lower() == Term.WINTER: return 1 if quarter.lower() == Term.SPRING: return 2 if quarter.lower() == Term.SUMMER: return 3 return 4 def int_key(self): return int(self.year) * 10 + self._quarter_to_int(self.quarter)

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pytorch_lightning/__init__.py

alanhdu/pytorch-lightning

3

1611149

<gh_stars>1-10 """Root package info.""" import logging import os from pytorch_lightning.info import ( # noqa: F401 __author__, __author_email__, __copyright__, __docs__, __homepage__, __license__, __version__, ) _root_logger = logging.getLogger() _logger = logging.getLogger(__name__) _logger.setLevel(logging.INFO) # if root logger has handlers, propagate messages up and let root logger process them if not _root_logger.hasHandlers(): _logger.addHandler(logging.StreamHandler()) _logger.propagate = False _PACKAGE_ROOT = os.path.dirname(__file__) _PROJECT_ROOT = os.path.dirname(_PACKAGE_ROOT) from pytorch_lightning import metrics # noqa: E402 from pytorch_lightning.callbacks import Callback # noqa: E402 from pytorch_lightning.core import LightningDataModule, LightningModule # noqa: E402 from pytorch_lightning.trainer import Trainer # noqa: E402 from pytorch_lightning.utilities.seed import seed_everything # noqa: E402 __all__ = [ 'Trainer', 'LightningDataModule', 'LightningModule', 'Callback', 'seed_everything', 'metrics', ] # for compatibility with namespace packages __import__('pkg_resources').declare_namespace(__name__)

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django_tex/environment.py

massimilianoporzio/django-tex

66

71423

<reponame>massimilianoporzio/django-tex from jinja2 import Environment from django_tex.filters import FILTERS def environment(**options): options.update( { "autoescape": None, "extensions": ["django_tex.extensions.GraphicspathExtension"], } ) env = Environment(**options) env.filters = FILTERS return env

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torchio/transforms/preprocessing/intensity/histogram_random_change.py

GReguig/torchio

1

89209

import numpy as np from ....constants import DATA from .normalization_transform import NormalizationTransform from .histogram_standardization import normalize class HistogramRandomChange(NormalizationTransform): """ Same thins as HistogramStandardization but the landmarks is a random curve """ def __init__(self, masking_method=None, nb_point_ini = 50, nb_smooth=5, verbose=False, **kwargs): super().__init__(masking_method=masking_method, verbose=verbose, **kwargs) self.nb_point_ini = nb_point_ini self.nb_smooth = nb_smooth def apply_normalization(self, sample, image_name, mask): image_dict = sample[image_name] landmarks = self.__get_random_landmarks() image_dict[DATA] = normalize( image_dict[DATA], landmarks, mask=mask, ) def __get_random_landmarks(self): y = np.squeeze(np.sort(np.random.rand(1, self.nb_point_ini))) x1 = np.linspace(0, 1, self.nb_point_ini) x2 = np.linspace(0, 1, 100) y2 = np.interp(x2, x1, y) y2 = self.smooth(y2, self.nb_smooth) y2 = np.sort(y2) y2 = y2 - np.min(y2) y2 = (y2 / np.max(y2)) * 100 return y2 def smooth(self, y, box_pts): box = np.ones(box_pts) / box_pts y_smooth = np.convolve(y, box, mode='same') return y_smooth def get_curve_for_sample(yall): """ not use but other alternative to get a random landmarks from a set of landmarks :return: """ i = np.random.randint(yall.shape[0]) y = np.squeeze(yall[i,:]) i = np.random.randint(y.shape) print(i) if i<yall.shape[1]/2: y = y[i[0]:] else: y = y[0:i[0]] x1 = np.linspace(0, 1, y.shape[0]) x2 = np.linspace(0, 1, 100) y2 = np.interp(x2, x1, y) y2 = y2 - np.min(y2) y2 = (y2 / np.max(y2)) * 100 plt.plot(y2) return y2

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colour/characterisation/displays.py

wenh06/colour

1

93596

<filename>colour/characterisation/displays.py # -*- coding: utf-8 -*- """ RGB Display Primaries ===================== Defines spectral distributions classes for the datasets from :mod:`colour.characterisation.datasets.displays` module: - :class:`colour.characterisation.RGB_DisplayPrimaries`: Implements support for a *RGB* display (such as a *CRT* or *LCD*) primaries multi-spectral distributions. """ from __future__ import division, unicode_literals from colour.colorimetry import MultiSpectralDistributions __author__ = 'Colour Developers' __copyright__ = 'Copyright (C) 2013-2020 - Colour Developers' __license__ = 'New BSD License - https://opensource.org/licenses/BSD-3-Clause' __maintainer__ = 'Colour Developers' __email__ = '<EMAIL>' __status__ = 'Production' __all__ = ['RGB_DisplayPrimaries'] class RGB_DisplayPrimaries(MultiSpectralDistributions): """ Implements support for a *RGB* display (such as a *CRT* or *LCD*) primaries multi-spectral distributions. Parameters ---------- data : Series or Dataframe or Signal or MultiSignals or \ MultiSpectralDistributions or array_like or dict_like, optional Data to be stored in the multi-spectral distributions. domain : array_like, optional Values to initialise the multiple :class:`colour.SpectralDistribution` class instances :attr:`colour.continuous.Signal.wavelengths` attribute with. If both ``data`` and ``domain`` arguments are defined, the latter will be used to initialise the :attr:`colour.continuous.Signal.wavelengths` attribute. labels : array_like, optional Names to use for the :class:`colour.SpectralDistribution` class instances. Other Parameters ---------------- name : unicode, optional Multi-spectral distributions name. interpolator : object, optional Interpolator class type to use as interpolating function for the :class:`colour.SpectralDistribution` class instances. interpolator_kwargs : dict_like, optional Arguments to use when instantiating the interpolating function of the :class:`colour.SpectralDistribution` class instances. extrapolator : object, optional Extrapolator class type to use as extrapolating function for the :class:`colour.SpectralDistribution` class instances. extrapolator_kwargs : dict_like, optional Arguments to use when instantiating the extrapolating function of the :class:`colour.SpectralDistribution` class instances. strict_labels : array_like, optional Multi-spectral distributions labels for figures, default to :attr:`colour.characterisation.RGB_DisplayPrimaries.labels` attribute value. """ def __init__(self, data=None, domain=None, labels=None, **kwargs): super(RGB_DisplayPrimaries, self).__init__( data, domain, labels=('red', 'green', 'blue'), **kwargs)

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pikarpc/chunked_utils.py

valfrom/python_pika_rpc

0

74578

from pikarpc.byte_utils import int_to_bytes, int_from_bytes, float_to_bytes, float_from_bytes from PIL import Image from pikarpc.image_utils import image_from_byte_array, image_to_byte_array def bytes_from_value(v, lossless): result = bytes() if type(v) == bytes: result += b'b' result += v elif type(v) == str: result += b's' result += v.encode('utf-8') elif type(v) == bool: result += b'v' result += int_to_bytes(1 if v else 0) elif type(v) == int: result += b'i' result += int_to_bytes(v) elif type(v) == float: result += b'f' result += float_to_bytes(v) elif type(v) == list: result += b'l' result += chunked_bytes_from_list(v, lossless) elif type(v) == dict: result += b'd' result += chunked_bytes_from_dict(v, lossless) elif issubclass(type(v), Image.Image): result += b'p' result += image_to_byte_array(v, fmt='PNG' if lossless else 'JPEG') return result def value_from_bytes(b, index): l = int_from_bytes(b[index:index + 4]) index += 4 t = b[index:index + 1].decode('utf-8') index += 1 data = b[index:index + l] index += l val = data if t == 's': val = data.decode('utf-8') elif t == 'v': val = True if int_from_bytes(data) == 1 else False elif t == 'i': val = int_from_bytes(data) elif t == 'f': val = float_from_bytes(data) elif t == 'd': val = chunked_dict_from_bytes(data) elif t == 'l': val = chunked_list_from_bytes(data) elif t == 'p': val = image_from_byte_array(data) return index, val def chunked_bytes_from_object(o, lossless=False): result = bytes() if type(o) == dict: result += b'd' result += chunked_bytes_from_dict(o, lossless) elif type(o) == list: result += b'l' result += chunked_bytes_from_list(o, lossless) else: bts = bytes_from_value(o, lossless) result += bts[0:1] result += int_to_bytes(len(bts) - 1) result += bts return result def chunked_bytes_from_list(arr, lossless): result = bytes() result += int_to_bytes(len(arr)) for v in arr: bts = bytes_from_value(v, lossless) result += int_to_bytes(len(bts) - 1) result += bts return result def chunked_bytes_from_dict(d: dict, lossless): result = bytes() for k, v in d.items(): bts = bytes_from_value(v, lossless) kb = k.encode('utf-8') result += int_to_bytes(len(kb)) result += kb result += int_to_bytes(len(bts) - 1) result += bts return result def chunked_object_from_bytes(b): t = b[0:1] if t == b'd': return chunked_dict_from_bytes(b[1:]) elif t == b'l': return chunked_list_from_bytes(b[1:]) return value_from_bytes(b[1:], 0)[1] def chunked_list_from_bytes(b): result = [] index = 0 l = int_from_bytes(b[:4]) index += 4 for i in range(0, l): index, val = value_from_bytes(b, index) result.append(val) return result def chunked_dict_from_bytes(b): result = {} index = 0 while index < len(b): kl = int_from_bytes(b[index:index + 4]) index += 4 key = b[index:index + kl].decode('utf-8') index += kl index, val = value_from_bytes(b, index) result[key] = val return result

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estimation/test/test_boostrap_errors.py

eribean/GIRTH

0

197852

import unittest import warnings import numpy as np from girth.synthetic import create_synthetic_irt_dichotomous, create_synthetic_irt_polytomous from girth import (rasch_jml, onepl_jml, twopl_jml, grm_jml, pcm_jml, rasch_mml, onepl_mml, twopl_mml, twopl_mml_eap, grm_mml_eap, pcm_mml, grm_mml, rasch_conditional, standard_errors_bootstrap) def _contains_keys(results, identifier): """Checks for standard keys in bootstrap result.""" for key in ['Standard Errors', '95th CI', 'Bias', 'Solution']: if key not in results.keys(): raise AssertionError(f"Key: {key} not found in return argument." f"Error in {identifier}") for key in results['95th CI']: if np.any(results['95th CI'][key][1] < results['95th CI'][key][0]): raise AssertionError(f"Confidence Interval Error. {key} " f"Error in {identifier}") warnings.filterwarnings('ignore') class TestBootstrapStandardErrors(unittest.TestCase): """Test Fixture for Bootstrap Standard Errors.""" # Smoke Tests to make sure they give an output # Tests bootstrap errors def setUp(self): rng = np.random.default_rng(48725309847520) self.discrimination = 0.25 + rng.rayleigh(.7, 5) self.difficulty = np.linspace(-1.5, 1.5, 5) self.difficulty_poly = np.sort(rng.standard_normal((5, 3)), axis=1) self.theta = rng.standard_normal(1000) self.options = {'max_iteration': 2} self.boot_iter = 10 def test_jml_methods_dichotomous(self): """Testing Bootstrap on JML Methods Dichotomous.""" rng = np.random.default_rng(39485720394875) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, rasch_jml, n_processors=1, bootstrap_iterations=self.boot_iter, options=self.options) self.assertEqual(result['Standard Errors']['Discrimination'][0], 0) _contains_keys(result, 'Rasch JML') result = standard_errors_bootstrap(dataset, onepl_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '1PL JML') result = standard_errors_bootstrap(dataset, twopl_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '2PL JML') @unittest.skip(reason="Github") def test_jml_methods_polytomous(self): """Testing Bootstrap on JML Methods Polytomous.""" rng = np.random.default_rng(8672379287302651089) dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, grm_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'GRM JML') dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng, model='pcm') result = standard_errors_bootstrap(dataset, pcm_jml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'PCM JML') @unittest.skip(reason="Github") def test_rasch_conditional(self): """Testing rasch conditional methods.""" rng = np.random.default_rng(426376867989075563) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, rasch_conditional, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertEqual(result['Standard Errors']['Discrimination'][0], 0) _contains_keys(result, 'Rasch MML') @unittest.skip(reason="Github") def test_mml_methods_dichotomous(self): """Testing Bootstrap on MML Methods Dichotomous.""" rng = np.random.default_rng(8764328976187234) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, rasch_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertEqual(result['Standard Errors']['Discrimination'][0], 0) _contains_keys(result, 'Rasch MML') result = standard_errors_bootstrap(dataset, onepl_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '1PL MML') result = standard_errors_bootstrap(dataset, twopl_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '2PL MML') @unittest.skip(reason="Github") def test_mml_methods_polytomous(self): """Testing Bootstrap on MML Methods Polytomous.""" rng = np.random.default_rng(4347621232345345696) dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, grm_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'GRM MML') dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng, model='pcm') result = standard_errors_bootstrap(dataset, pcm_mml, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'PCM MML') @unittest.skip(reason="Github") def test_eap_mml_methods(self): """Testing Bootstrap on eap methods.""" rng = np.random.default_rng(66739234876520981) dataset = create_synthetic_irt_dichotomous(self.difficulty, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, twopl_mml_eap, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) _contains_keys(result, '2PL EAP-MML') dataset = create_synthetic_irt_polytomous(self.difficulty_poly, self.discrimination, self.theta, seed=rng) result = standard_errors_bootstrap(dataset, grm_mml_eap, n_processors=2, bootstrap_iterations=self.boot_iter, options=self.options) self.assertTupleEqual(result['95th CI']['Difficulty'][0].shape, self.difficulty_poly.shape) _contains_keys(result, 'GRM EAP-MML') if __name__ == "__main__": import warnings warnings.filterwarnings('ignore') unittest.main()

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syncli/cmd/hosts.py

comodit/synapse-client

2

66737

<filename>syncli/cmd/hosts.py """ Manipulate the host resource. """ from syncli.cmd.generic import GenericCmd from syncli.router import register from syncli.api.hosts import HostsApi @register(HostsApi) class HostsCmd(GenericCmd): attributes = (('status', [{'name': 'ip', 'help': "Retrieves the host's ip addresses", 'option_action': 'store_true'}, {'name': 'hostname', 'help': "Retrieves the host's hostnames", 'option_action': 'store_true'}, {'name': 'mac_addresses', 'help': "Retrieves the host's mac addresses", 'option_action': 'store_true'}, {'name': 'memtotal', 'help': "Retrieves the host's total memory", 'option_action': 'store_true'}, {'name': 'platform', 'help': "Retrieves the host's linux platform", 'option_action': 'store_true'}, {'name': 'uptime', 'help': "Retrieves the host's uptime", 'option_action': 'store_true'}, {'name': 'all', 'option_action': 'store_true', 'help': "Gets all options at once"}]),) def status(self, argv): """ Gets the status of reacheable hosts. """ options, name = self._get_options(argv, 'status') opts = [] if not options.get('all'): opts = [k for k, v in options.iteritems()] else: opts = [opts['name'] for opts in self.attributes[0][1]] self.do_action('infos', opts)

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onadata/libs/exceptions.py

BuildAMovement/whistler-kobocat

38

97068

class NoRecordsFoundError(Exception): pass class J2XException(Exception): pass

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multichain.py

MultiChain/multichain-explorer-2

8

177892

<reponame>MultiChain/multichain-explorer-2 # -*- coding: utf-8 -*- # MultiChain Explorer 2 (c) Coin Sciences Ltd # All rights reserved under BSD 3-clause license import cfg import utils import readconf import base64 #import requests from urllib import request from urllib import parse import urllib import json from collections import OrderedDict import time def multichain_init_rpc_parameters(chain): if readconf.is_missing(cfg.settings[chain],'datadir'): cfg.settings[chain]["datadir"]="~/.multichain" datadir=cfg.settings[chain]["datadir"] + "/" + cfg.settings[chain]["name"] + "/" datadir=utils.full_dir_name(datadir) if readconf.is_missing(cfg.settings[chain],'rpcport'): params_file=datadir + "params.dat" if not utils.file_exists(params_file): utils.print_error("Couldn't find MultiChain directory " + datadir) return False params=readconf.read_plain_config_file(params_file) if params['default-rpc-port'] is None: utils.print_error("Couldn't find default-rpc-port in " + params_file) return False cfg.settings[chain]["rpcport"] = params['default-rpc-port'].split("#", 1)[0].rstrip() conf_file=datadir + "multichain.conf" if readconf.is_missing(cfg.settings[chain],'rpcuser') or readconf.is_missing(cfg.settings[chain],'rpcpassword'): if not utils.file_exists(conf_file): utils.print_error("Couldn't find configuration file " + conf_file) return False conf=readconf.read_plain_config_file(conf_file) if readconf.is_missing(cfg.settings[chain],'rpcuser'): if readconf.is_missing(conf,'rpcuser'): utils.print_error("Couldn't find rpcuser in " + conf_file) return False cfg.settings[chain]['rpcuser']=conf['rpcuser'] if readconf.is_missing(cfg.settings[chain],'rpcpassword'): if readconf.is_missing(conf,'rpcpassword'): utils.print_error("Couldn't find rpcpassword in " + conf_file) return False cfg.settings[chain]['rpcpassword']=conf['rpcpassword'] if not readconf.is_missing(conf,'rpcport'): cfg.settings[chain]['rpcport']=conf['rpcport'] return True class MCEChain: def __init__(self, name): self.name=name self.config = cfg.settings[name].copy() self.config["ini-name"]=name self.config["path-name"]=parse.quote_plus(self.config['name']) self.config["path-ini-name"]=parse.quote_plus(name) def initialize(self): url="http://127.0.0.1" if not readconf.is_missing(self.config,'rpchost'): url=self.config['rpchost'] url=url + ":" + self.config["rpcport"] userpass64 = base64.b64encode((self.config['rpcuser'] + ":" + self.config['rpcpassword']).encode("ascii")).decode("ascii") headers={ "Content-Type" : "application/json", "Connection" : "close", "Authorization" : "Basic " + userpass64 } self.config['multichain-url']=url self.config['multichain-headers']=headers # print(self.config) return True def request(self, method, params=[]): payload=json.dumps({ "id" : int(round(time.time() * 1000)), "method" : method, "params" : params }) headers=self.config['multichain-headers'].copy() headers["Content-Length"] = str(len(payload)) try: # req = requests.post(cfg.multichain_url, data=payload, headers=headers) data = str(payload) data = data.encode('utf-8') ureq = request.Request(self.config['multichain-url'], data=data) for header,value in headers.items(): ureq.add_header(header, value) req = request.urlopen(ureq) except urllib.error.HTTPError as e: resp=e.read() req_json=json.loads(resp.decode('utf-8')) if req_json['error'] is not None: req_json['error']="Error " + str(req_json['error'] ['code']) + ": " + req_json['error']['message'] return req_json except urllib.error.URLError as e: error_str="MultiChain is not running: " + str(e.reason) req_json={ 'result': None, 'error' : error_str, 'connection-error' : True } return req_json # except Exception as error: # print("C") # error_str="MultiChain is not running: " + str(error) # print(str(error)) # req_json={ # 'result': None, # 'error' : error_str, # 'connection-error' : True # } # utils.print_error(error_str) # return req_json resp=req.read() # req_json=json.loads(resp.decode('utf-8')) req_json=json.loads(resp.decode('utf-8'),object_pairs_hook=OrderedDict) if req_json is None: error_str="MultiChain connection error" req_json={ 'result': None, 'error' : error_str, 'connection-error' : True } # utils.print_error(error_str) return req_json

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algorithm/graph_theory/even_tree/solution.py

delaanthonio/hackerrank

1

139878

#!/usr/bin/env python3 """Solution for https://www.hackerrank.com/challenges/even-tree""" from collections import defaultdict, deque from typing import Dict, Set Vertex = int Tree = Dict[Vertex, Set[Vertex]] def trim_tree(tree: Tree, root=1) -> None: """Make tree a directed graph.""" for child in tree[root]: try: tree[child].remove(root) except KeyError: pass trim_tree(tree, child) def prune_tree(tree: Tree, root: Vertex=1) -> int: """Given a tree, determine the amount of edges that can be pruned.""" count = 0 for child in tree[root]: if tree_size(tree, child) % 2 == 0: count += 1 count += prune_tree(tree, child) return count def tree_size(subtree: Tree, start: Vertex=1, *, root: Vertex=1) -> int: """Count the amount of vertices in the subtree using a bfs traversal.""" visited = {root, start} queue = deque([x for x in subtree[start]]) count = 1 while queue: vertex = queue.popleft() if vertex not in visited: visited.add(vertex) count += 1 for next_vertex in subtree[vertex]: if next_vertex not in visited: queue.append(next_vertex) return count def main(): """Print the amount of edges that can be pruned from a tree.""" tree = defaultdict(set) vertex_count, edge_count = input().split() vertex_count = int(vertex_count) edge_count = int(edge_count) for _ in range(edge_count): v1, v2 = input().split() v1 = int(v1) v2 = int(v2) tree[v1].add(v2) tree[v2].add(v1) trim_tree(tree) print(prune_tree(tree)) if __name__ == '__main__': main()

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app/mtracker/urls.py

fizista/Mturk-Tracker

0

119500

<filename>app/mtracker/urls.py from django.conf import settings from django.conf.urls import patterns, include, url from django.contrib import admin from django.core.management import call_command admin.autodiscover() def bad(request): """ Simulates a server error """ 1 / 0 urlpatterns = patterns('mtracker', #url(r'^$', 'main.views.index', name='index'), url(r'^admin/', include(admin.site.urls)), url(r'^documentation/$', 'docs.views.docs_readme', name='docs_main'), (r'^bad/$', bad), ) urlpatterns += patterns('', url(r'', include('mturk.api.urls')), url(r'', include('mturk.search.urls')), url(r'^classification/', include('mturk.classification.urls')), url('', include('mturk.main.urls')), url(r'^top_requesters/', include('mturk.toprequesters.urls')), url(r'^documentation/', include('sphinxdoc.urls')), ) # # POST-INIT # ## In DEBUG mode, serve media files through Django. if settings.DEBUG: # Remove leading and trailing slashes so the regex matches. media_url = settings.MEDIA_URL.lstrip('/').rstrip('/') urlpatterns += patterns('', (r'^%s/(?P<path>.*)$' % media_url, 'django.views.static.serve', {'document_root': settings.MEDIA_ROOT}), ) from django.contrib.staticfiles.urls import staticfiles_urlpatterns urlpatterns += staticfiles_urlpatterns() if getattr(settings, 'JSCONF_DEVELOPMENT_MODE', False): # the urls module always has settings loaded, so execute this command # to generate jsconf each time Django starts. This way, we can serve the # jsconf.js as a static file. # This is enabled only for DEBUG configs, for stable you should run # ./manage.py generatejsconf # after every deploy. call_command('makejsconf')

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setup.py

fonar/paypalhttp_python

0

1020

from setuptools import setup version = "1.0.0" long_description = """ PayPalHttp is a generic http client designed to be used with code-generated projects. """ setup( name="paypalhttp", long_description=long_description, version=version, author="PayPal", packages=["paypalhttp", "paypalhttp/testutils", "paypalhttp/serializers"], install_requires=['requests>=2.0.0', 'six>=1.0.0', 'pyopenssl>=0.15'], license="MIT", classifiers=[ 'Intended Audience :: Developers', 'Natural Language :: English', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.6', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: Implementation :: PyPy', 'Topic :: Software Development :: Libraries :: Python Modules' ], )

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analysis_tools/PYTHON_RICARDO/rpl/tools/voxelization/test_intersection.py

lefevre-fraser/openmeta-mms

0

52514

""" Represent a triangulated surface using a 3D boolean grid""" import numpy as np from scipy import ndimage import matplotlib.pyplot as plt import matplotlib.cm as cm voxel_size = 0.05 #stl_file = "50_standing" #stl_file = "50p_hunch8" stl_file = "volume_w_seats" file_name = "voxels_temp_" + stl_file + "_" + str(voxel_size) + ".npz" d = np.load(file_name) in_out = d["in_out"] #stl_file = "50_standing" stl_file = "50p_hunch8" file_name = "voxels_temp_" + stl_file + "_" + str(voxel_size) + ".npz" in_out_manikin_base = np.load(file_name)["in_out"] labels, count = ndimage.measurements.label(in_out) label_corner = labels[-1, -1, -1] exclude = labels != label_corner in_out &= exclude #in_out = ndimage.binary_opening(in_out, iterations=4) labels, count = ndimage.measurements.label(in_out) label_corner = labels[-1, -1, -1] floor = np.ones((in_out.shape[0], in_out.shape[2]), dtype=np.uint16) * (in_out.shape[1] - in_out_manikin_base.shape[1]) #floor = np.ones((in_out.shape[0], in_out.shape[2]), dtype=np.uint16) * (in_out.shape[1]) for obj_num in range(count + 1): print obj_num, np.sum(labels == obj_num) if obj_num == label_corner: continue print obj_num, np.sum(labels == obj_num) for i in xrange(in_out.shape[0]): print "Slice {} of {}".format(i, in_out.shape[0]) for j in xrange(in_out.shape[1]): for k in xrange(in_out.shape[2]): if labels[i, j, k] == obj_num: if labels[i, j - 1, k] == 0: floor[i, k] = min(floor[i, k], j) full = in_out_manikin_base.shape[1] manikin_heights = [full, full - full // 10, full - full // 4] manikin_heights = [full] print manikin_heights v_min = None v_max = None for config, manikin_height in enumerate(manikin_heights): in_out_manikin = in_out_manikin_base[:, :manikin_height, :] # in_out_manikin = in_out_manikin_base[:, :, :] labels, count = ndimage.measurements.label(in_out_manikin) label_corner = labels[-1, -1, -1] in_out_manikin = labels != label_corner manikin_volume = np.sum(in_out_manikin) manikin_i = in_out_manikin.shape[0] half_i = manikin_i // 2 manikin_j = in_out_manikin.shape[1] manikin_k = in_out_manikin.shape[2] half_k = manikin_k // 2 print in_out.shape print in_out_manikin.shape intersection_checks = 0 results = np.empty((in_out.shape[0] - manikin_i, in_out.shape[2] - manikin_k), dtype=np.float) for i in xrange(in_out.shape[0] - manikin_i): for k in xrange(in_out.shape[2] - manikin_k): results[i, k] = np.sum(in_out_manikin & in_out[i : i + manikin_i, floor[i + half_i, k + half_k] : floor[i + half_i, k + half_k] + manikin_j, k : k + manikin_k]) intersection_checks += 1 print "Intersection checks", intersection_checks # results = results / manikin_volume results = (manikin_volume - results) / manikin_volume if v_min is None: v_min = np.min(results) v_max = np.max(results) plt.subplot(1, len(manikin_heights), config) plt.imshow(results, cmap=cm.copper_r, vmin=v_min, vmax=v_max, norm=None) #plt.subplot(122) #plt.imshow(floor, cmap=cm.copper_r) plt.show() #size_check = 50 # #block_check = np.ones((size_check, size_check, size_check), dtype=np.bool) # # #for i in xrange(in_out.shape[0] - size_check): # for j in xrange(in_out.shape[1] - size_check): # print i, j, np.sum(block_check & in_out[i : i + size_check, # j : j + size_check, # :size_check]) #

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462, 462, 462, 2 ]

msvc/libpsl-pc.py

kloczek/libpsl

102

148941

# !/usr/env/python # Simple script to generate libpsl.pc from libpsl.pc.in # for Visual Studio builds import sys import argparse from replace import replace_multi from pc_base import BasePCItems def main(argv): parser = argparse.ArgumentParser(description='Setup basic libpsl.pc file info') parser.add_argument('--name', help='Name of package', required=True) parser.add_argument('--url', help='Package Home Page URL', required=True) base_pc = BasePCItems() base_pc.setup(argv, parser) args = parser.parse_args() pc_replace_items = {'@PACKAGE_NAME@': args.name, '@PACKAGE_VERSION@': args.version, '@PACKAGE_URL@': args.url} pc_replace_items.update(base_pc.base_replace_items) # Generate libpsl.pc replace_multi(base_pc.top_srcdir + '/libpsl.pc.in', base_pc.srcdir + '/libpsl.pc', pc_replace_items) return 0 if __name__ == '__main__': sys.exit(main(sys.argv))

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labJS/conf.py

lpomfrey/django-labjs

0

10036

# -*- coding: utf-8 -*- from __future__ import unicode_literals from appconf import AppConf from django.conf import settings # noqa class LabjsConf(AppConf): ENABLED = not settings.DEBUG DEBUG_TOGGLE = 'labjs'

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eworkshop/utils/models.py

frankfern/eWorkshop-api

0

67489

from django.db import models from django.core.validators import RegexValidator class TimeModel(models.Model): """ Model that can be inherit to obtain fields like create time and modified time""" created = models.DateTimeField( 'created at', auto_now_add=True, help_text='Date time on which object was created') modified = models.DateTimeField( 'modified at ', auto_now=True, help_text='Date time on which object was modified') class Meta(): abstract = True ordering = ['-created', '-modified'] get_latest_by = 'created' class BasicInfoModel(TimeModel): """This model can be inherit in order to obtain basic info """ phone_regex = RegexValidator( regex=r'^\+[1-9]\d{2}\d{3}\d{4}', message='Phone number must be enteredin format: +5399999999. Upto 15 digits allowed.' ) first_name = models.CharField(max_length=15) last_name = models.CharField(max_length=15) phone_number = models.CharField( max_length=17, blank=True, null=True, validators=[phone_regex]) cellphone_number = models.CharField( max_length=17, blank=False, null=True, validators=[phone_regex]) class Meta(): abstract = True class AdvanceInfoModel(BasicInfoModel): """This model is like BasicInfoModel with address and ci fiels """ ci_regex = RegexValidator( regex='\d{11}$', message='Ci must have 11 numbers') address = models.CharField(max_length=30, null=False, blank=False) ci = models.CharField( validators=[ci_regex], unique=True, null=False, blank=False, max_length=11) class Meta(): abstract = True

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tests/test_file.py

knc-neural-calculus/exdir

67

92770

<gh_stars>10-100 # -*- coding: utf-8 -*- # # This file is part of Exdir, the Experimental Directory Structure. # # Copyright 2017 <NAME> # # License: MIT, see "LICENSE" file for the full license terms. # # This file contains code from h5py, a Python interface to the HDF5 library, # licensed under a standard 3-clause BSD license # with copyright <NAME> and contributors. # See http://www.h5py.org and the "3rdparty/h5py-LICENSE" file for details. import pytest import os try: import pathlib except ImportError as e: try: import pathlib2 as pathlib except ImportError: raise e from exdir.core import File, Group from exdir.core.exdir_object import _create_object_directory, is_nonraw_object_directory, DATASET_TYPENAME, FILE_TYPENAME import exdir.core.exdir_object as exob from exdir import validation as fv import numpy as np from conftest import remove def test_file_init(setup_teardown_folder): no_exdir = setup_teardown_folder[0] / "no_exdir" f = File(no_exdir, mode="w") f.close() assert is_nonraw_object_directory(no_exdir.with_suffix(".exdir")) remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode="w") f.close() assert is_nonraw_object_directory(setup_teardown_folder[1]) remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode="a") f.close() assert is_nonraw_object_directory(setup_teardown_folder[1]) remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode="a") f.close() assert is_nonraw_object_directory(setup_teardown_folder[1]) remove(setup_teardown_folder[1]) setup_teardown_folder[1].mkdir(parents=True) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w") remove(setup_teardown_folder[1]) _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(DATASET_TYPENAME)) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w") remove(setup_teardown_folder[1]) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="r") with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="r+") _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(FILE_TYPENAME)) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w") remove(setup_teardown_folder[1]) _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(FILE_TYPENAME)) f = File(setup_teardown_folder[1], mode="w", allow_remove=True) remove(setup_teardown_folder[1]) _create_object_directory(pathlib.Path(setup_teardown_folder[1]), exob._default_metadata(FILE_TYPENAME)) with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="w-") with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode="x") with pytest.raises(ValueError): f = File(setup_teardown_folder[1], mode="not existing") def test_create(setup_teardown_folder): """Mode 'w' opens file in overwrite mode.""" f = File(setup_teardown_folder[1], 'w') assert isinstance(f, File) f.create_group('foo') f.close() f = File(setup_teardown_folder[1], 'w', allow_remove=True) assert 'foo' not in f f.close() with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], 'w') def test_create_exclusive(setup_teardown_folder): """Mode 'w-' opens file in exclusive mode.""" f = File(setup_teardown_folder[1], 'w-') assert isinstance(f, File) f.close() with pytest.raises(RuntimeError): File(setup_teardown_folder[1], 'w-') def test_append(setup_teardown_folder): """Mode 'a' opens file in append/readwrite mode, creating if necessary.""" f = File(setup_teardown_folder[1], 'a') assert isinstance(f, File) f.create_group('foo') assert 'foo' in f f = File(setup_teardown_folder[1], 'a') assert 'foo' in f f.create_group('bar') assert 'bar' in f def test_readonly(setup_teardown_folder): """Mode 'r' opens file in readonly mode.""" f = File(setup_teardown_folder[1], 'w') f.close() assert not f f = File(setup_teardown_folder[1], 'r') assert isinstance(f, File) with pytest.raises(IOError): f.create_group('foo') f.create_dataset("bar", (2)) f.close() def test_readwrite(setup_teardown_folder): """Mode 'r+' opens existing file in readwrite mode.""" f = File(setup_teardown_folder[1], 'w') f.create_group('foo') f.close() f = File(setup_teardown_folder[1], 'r+') assert 'foo' in f f.create_group('bar') assert 'bar' in f f.close() def test_nonexistent_file(setup_teardown_folder): """Modes 'r' and 'r+' do not create files.""" with pytest.raises(RuntimeError): File(setup_teardown_folder[1], 'r') with pytest.raises(RuntimeError): File(setup_teardown_folder[1], 'r+') def test_invalid_mode(setup_teardown_folder): """Invalid modes raise ValueError.""" with pytest.raises(ValueError): File(setup_teardown_folder[1], 'Error mode') def test_file_close(setup_teardown_folder): """Closing a file.""" f = File(setup_teardown_folder[1], mode="w") f.close() def test_validate_name_thorough(setup_teardown_folder): """Test naming rule thorough.""" f = File(setup_teardown_folder[0] / "test.exdir", name_validation=fv.thorough) f.close() with pytest.raises(RuntimeError): File(setup_teardown_folder[0] / "Test.exdir", name_validation=fv.thorough) with pytest.raises(NameError): File(setup_teardown_folder[0] / "tes#.exdir", name_validation=fv.thorough) def test_validate_name_strict(setup_teardown_folder): """Test naming rule strict.""" f = File(setup_teardown_folder[1], name_validation=fv.strict) f.close() with pytest.raises(NameError): File(setup_teardown_folder[1].with_suffix(".exdirA"), name_validation=fv.strict) def test_validate_name_error(setup_teardown_folder): """Test naming rule with error.""" with pytest.raises(ValueError): File(setup_teardown_folder[1], name_validation='Error rule') def test_validate_name_none(setup_teardown_folder): """Test naming rule with error.""" File(setup_teardown_folder[1].with_name("test&().exdir"), name_validation=fv.none) def test_opening_with_different_validate_name(setup_teardown_folder): """Test opening with wrong naming rule.""" f = File(setup_teardown_folder[1], "w", name_validation=fv.none) f.create_group("AAA") f.close() # TODO changing name validation should result in warning/error f = File(setup_teardown_folder[1], "a", name_validation=fv.thorough) with pytest.raises(RuntimeError): f.create_group("aaa") f.close() def test_contains(setup_teardown_file): """Root group (by itself) is contained.""" f = setup_teardown_file[3] f.create_group("test") assert "/" in f assert "/test" in f def test_create_group(setup_teardown_file): """Root group (by itself) is contained.""" f = setup_teardown_file[3] grp = f.create_group("/test") assert isinstance(grp, Group) def test_require_group(setup_teardown_file): """Root group (by itself) is contained.""" f = setup_teardown_file[3] grp = f.require_group("/foo") assert isinstance(grp, Group) def test_open(setup_teardown_file): """thorough obj[name] opening.""" f = setup_teardown_file[3] grp = f.create_group("foo") grp2 = f["foo"] grp3 = f["/foo"] f = f["/"] assert grp == grp2 assert grp2 == grp3 assert f == f def test_open_mode(setup_teardown_folder): # must exist for mode in ["r+", "r"]: with pytest.raises(RuntimeError): f = File(setup_teardown_folder[1], mode) # create if not exist for mode in ["a", "w", "w-"]: remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], mode) f.require_dataset('dset', np.arange(10)) f.attrs['can_overwrite'] = 42 f.attrs['can_overwrite'] = 14 f.require_group('mygroup') remove(setup_teardown_folder[1]) f = File(setup_teardown_folder[1], 'w') f.close() # dummy close # read write if exist f = File(setup_teardown_folder[1], "r+") f.require_group('mygroup') f.require_dataset('dset', np.arange(10)) f.attrs['can_overwrite'] = 42 f.attrs['can_overwrite'] = 14 # read only, can not write f = File(setup_teardown_folder[1], 'r') with pytest.raises(IOError): f.require_dataset('dset', np.arange(10)) f.attrs['can_not_write'] = 42 f.create_group('mygroup') def test_open_two_attrs(setup_teardown_file): f = setup_teardown_file[3] f.attrs['can_overwrite'] = 42 f.attrs['another_atribute'] = 14 def test_exc(setup_teardown_file): """'in' on closed group returns False.""" f = setup_teardown_file[3] f.create_group("a") f.close() assert not f assert "a" not in f def test_close_group(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] grp = f.create_group("group") f.close() assert not f assert "group" not in f assert 'dataset' not in f # unable to create new stuff match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.create_group("group") with pytest.raises(IOError, match=match): grp.create_group("group") with pytest.raises(IOError, match=match): grp.attrs = {'group': 'attrs'} def test_close_attrs(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] grp = f.create_group("group") dset = f.create_dataset('dataset', data=np.array([1,2,3])) raw = f.create_raw('raw') f.attrs = {'file': 'attrs'} file_attrs = f.attrs f.close() match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.attrs = {'file': 'attrs'} with pytest.raises(IOError, match=match): file_attrs['new'] = 'yo' # unable to retrieve stuff with pytest.raises(IOError, match=match): file_attrs['file'] with pytest.raises(IOError, match=match): f.attrs assert 'file' not in file_attrs def test_close_raw(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] raw = f.create_raw('raw') f.close() assert "raw" not in f # unable to create new stuff match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.create_raw('raw') # unable to retrieve with pytest.raises(IOError, match=match): f['raw'] def test_close_dataset(setup_teardown_file): """'closed file is unable to handle.""" f = setup_teardown_file[3] grp = f.create_group("group") dset = f.create_dataset('dataset', data=np.array([1,2,3])) dset.attrs = {'dataset': 'attrs'} dset_attrs = dset.attrs data = dset.data f.close() assert 'dataset' not in f # unable to create new stuff match = "Unable to operate on closed File instance." with pytest.raises(IOError, match=match): f.create_dataset('dataset', data=np.array([1,2,3])) with pytest.raises(IOError, match=match): grp.create_dataset('dataset', data=np.array([1,2,3])) with pytest.raises(IOError, match=match): dset.attrs = {'dataset': 'attrs'} with pytest.raises(IOError, match=match): dset_attrs['new'] = 'yo' # unable to retrieve stuff with pytest.raises(IOError, match=match): dset.data with pytest.raises(IOError, match=match): dset.shape with pytest.raises(IOError, match=match): dset.dtype with pytest.raises(IOError, match=match): dset.attrs assert 'dataset' not in dset_attrs # TODO unable to close datasets: uncomment when done # assert 1 not in data # data[:] = np.array([3,2,1]) # TODO should give error # f.io_mode = 1 # assert np.array_equal(dset.data, np.array([1,2,3])) # Feature: File objects can be used as context managers def test_context_manager(setup_teardown_folder): """File objects can be used in with statements.""" no_exdir = setup_teardown_folder[2] with File(no_exdir, mode="w") as f: assert isinstance(f, File) assert not f

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codegen.py

EXXETA/k8s-python-tools

1

35383

# # Copyright (c) 2019 EXXETA AG and others. # # This file is part of k8s-python-tools # (see https://github.com/EXXETA/k8s-python-tools). # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # import os import re from jinja2 import Environment, FileSystemLoader """load self-defined generated_library.yml and use this information to generate api methods. using jinja2 templating engine to generate python files """ __location__ = os.path.join(os.getcwd(), os.path.dirname(__file__)) try: from yaml import CLoader as Loader, CDumper as Dumper, load except ImportError: from yaml import Loader, Dumper text_io = open(os.path.join(__location__, 'generated_library.yml'), 'r') data = load(text_io, Loader=Loader) text_io.close() env = Environment( loader=FileSystemLoader(os.path.join(__location__, "templates")), # autoescape=select_autoescape(['html']) ) def camelcase_to_snake_case(name): s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower() env.filters['normalize'] = camelcase_to_snake_case # generating api methods for i in data["lib_def"]: file_name = data["lib_def"][i]["file"] template_name = data["lib_def"][i]["template"] entries = data["lib_def"][i]["entries"] print("generated", "./lib/" + file_name) template = env.get_template(template_name) rendered = template.render(entries=entries) f = open(os.path.join(__location__, "./lib/" + file_name), "w") f.write(rendered) f.close() # generating api actions for i in data["actions"]: base_path = data["actions"][i]["destination"] template_name = data["actions"][i]["template"] entries = data["actions"][i]["entries"] print("auto-generated", len(entries), "actions in destination", base_path) template = env.get_template(template_name) for item in entries: rendered = template.render(item=item) f = open(os.path.join(__location__, "./lib/" + base_path + "/" + camelcase_to_snake_case(item["name"]) + ".py"), "w") f.write(rendered) f.close() print("OK")

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gw_bot/api/commands/OSS_Bot_Commands.py

filetrust/GW-Bot

1

171506

from osbot_aws.apis.Lambda import Lambda from gw_bot.api.Slack_Commands_Helper import Slack_Commands_Helper from gw_bot.api.commands.Maps_Commands import Maps_Commands from osbot_utils.utils import Misc def use_command_class(slack_event, params, target_class): channel = Misc.get_value(slack_event, 'channel') user = Misc.get_value(slack_event, 'user') text,attachments = Slack_Commands_Helper(target_class).invoke(team_id=user, channel=channel, params=params) if channel: return None,None return text,attachments class OSS_Bot_Commands: # move to separate class gsbot_version = 'v0.40 (GW Bot)' @staticmethod def aws(slack_event=None, params=None): Lambda('gw_bot.lambdas.aws.commands').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def browser(slack_event=None, params=None): Lambda('osbot_browser.lambdas.lambda_browser').invoke_async({'params':params, 'data':slack_event}),[] return None,None @staticmethod def docs(slack_event=None, params=None): Lambda('osbot_gsuite.lambdas.gdocs').invoke_async({'params': params, 'data': slack_event}), [] return None, None # @staticmethod # def dev(slack_event=None, params=None): # return use_command_class(slack_event, params, Dev_Commands) @staticmethod def gw(slack_event=None, params=None): #return use_command_class(slack_event, params, GW_Commands) Lambda('gw_bot.lambdas.gw.commands').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def graph(slack_event, params=None): Lambda('osbot_jira.lambdas.graph').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def jira(slack_event, params=None): Lambda('osbot_jira.lambdas.jira').invoke_async({"params" : params, "user": slack_event.get('user'), "channel": slack_event.get('channel'), 'team_id': slack_event.get('team_id')}, ) return None, None @staticmethod def jp(slack_event=None, params=None): return OSS_Bot_Commands.jupyter(slack_event,params) @staticmethod def jupyter(slack_event=None, params=None): Lambda('osbot_jupyter.lambdas.osbot').invoke_async({'params': params, 'data': slack_event}), [] return None, None @staticmethod def hello(slack_event=None, params=None): user = Misc.get_value(slack_event, 'user') return 'Hello <@{0}>, how can I help you?'.format(user), [] @staticmethod def help(*params): commands = [func for func in dir(OSS_Bot_Commands) if callable(getattr(OSS_Bot_Commands, func)) and not func.startswith("__")] title = "*Here are the commands available*" attachment_text = "" for command in commands: if command is not 'bad_cmd': attachment_text += " • {0}\n".format(command) return title,[{'text': attachment_text, 'color': 'good'}] @staticmethod def screenshot(slack_event=None, params=None): params.insert(0,'screenshot') Lambda('osbot_browser.lambdas.lambda_browser').invoke_async({'params': params, 'data': slack_event}), [] return None, None # @staticmethod # def site(slack_event=None, params=None): # return use_command_class(slack_event, params, Site_Commands) @staticmethod def store(slack_event=None, params=None): Lambda('gw_bot.lambdas.gw.store.commands').invoke_async({'params': params, 'data': slack_event}), [] return None, None # @staticmethod # def faq(slack_event=None, params=None): # return use_command_class(slack_event, params, FAQ_Commands) @staticmethod def maps(slack_event=None, params=None): return use_command_class(slack_event, params, Maps_Commands) # @staticmethod # def participant(slack_event=None, params=None): # return use_command_class(slack_event,params,Participant_Commands) # # @staticmethod # def schedule(slack_event=None, params=None): # return use_command_class(slack_event, params, Schedule_Commands) # # @staticmethod # def sessions(slack_event=None, params=None): # return use_command_class(slack_event, params, Sessions_Commands) @staticmethod def version(*params): return OSS_Bot_Commands.gsbot_version,[]

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main/migrations/0006_auto_20201231_0458.py

AyushHazard/Samskritam

0

102137

<gh_stars>0 # Generated by Django 3.1.4 on 2020-12-31 04:58 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0005_auto_20201230_1633'), ] operations = [ migrations.AlterField( model_name='competition', name='end_time', field=models.DateTimeField(null=True), ), migrations.AlterField( model_name='competition', name='start_time', field=models.DateTimeField(null=True), ), ]

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neutron/objects/local_ip.py

congnt95/neutron

1,080

1607081

<reponame>congnt95/neutron # Copyright 2021 Huawei, Inc. # All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import netaddr from neutron_lib.objects import common_types from oslo_versionedobjects import fields as obj_fields from neutron.db.models import local_ip as lip_db from neutron.objects import base @base.NeutronObjectRegistry.register class LocalIP(base.NeutronDbObject): # Version 1.0: Initial version VERSION = '1.0' db_model = lip_db.LocalIP fields = { 'id': common_types.UUIDField(), 'name': obj_fields.StringField(nullable=True), 'description': obj_fields.StringField(nullable=True), 'project_id': obj_fields.StringField(nullable=True), 'local_port_id': common_types.UUIDField(), 'network_id': common_types.UUIDField(), 'local_ip_address': obj_fields.IPAddressField(), 'ip_mode': obj_fields.StringField(), } foreign_keys = {'Port': {'local_port_id': 'id'}, 'LocalIPAssociation': {'id': 'local_ip_id'}} fields_no_update = ['project_id', 'local_ip_address', 'network_id', 'local_port_id'] synthetic_fields = [] @classmethod def modify_fields_to_db(cls, fields): result = super(LocalIP, cls).modify_fields_to_db(fields) if 'local_ip_address' in result: result['local_ip_address'] = cls.filter_to_str( result['local_ip_address']) return result @classmethod def modify_fields_from_db(cls, db_obj): fields = super(LocalIP, cls).modify_fields_from_db(db_obj) if 'local_ip_address' in fields: fields['local_ip_address'] = netaddr.IPAddress( fields['local_ip_address']) return fields @base.NeutronObjectRegistry.register class LocalIPAssociation(base.NeutronDbObject): # Version 1.0: Initial version VERSION = '1.0' db_model = lip_db.LocalIPAssociation fields = { 'id': obj_fields.StringField(), 'local_ip_id': common_types.UUIDField(nullable=False), 'fixed_port_id': common_types.UUIDField(nullable=False), 'fixed_ip': obj_fields.IPAddressField(nullable=False), 'local_ip': obj_fields.ObjectField('LocalIP'), } primary_keys = ['local_ip_id', 'fixed_port_id'] foreign_keys = {'LocalIP': {'local_ip_id': 'id'}, 'Port': {'fixed_port_id': 'id'}} fields_no_update = ['local_ip_id', 'fixed_port_id', 'fixed_ip'] synthetic_fields = ['id', 'local_ip'] @classmethod def modify_fields_to_db(cls, fields): result = super(LocalIPAssociation, cls).modify_fields_to_db(fields) if 'fixed_ip' in result: result['fixed_ip'] = cls.filter_to_str(result['fixed_ip']) return result @classmethod def modify_fields_from_db(cls, db_obj): fields = super(LocalIPAssociation, cls).modify_fields_from_db(db_obj) if 'fixed_ip' in fields: fields['fixed_ip'] = netaddr.IPAddress(fields['fixed_ip']) return fields def obj_load_attr(self, attrname): if attrname in ['id']: self._set_id() super(LocalIPAssociation, self).obj_load_attr(attrname) def from_db_object(self, db_obj): super(LocalIPAssociation, self).from_db_object(db_obj) self._set_id() def _set_id(self): self.id = self.local_ip_id + '_' + self.fixed_port_id self.obj_reset_changes(['id'])

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pygimli/core/math.py

JuliusHen/gimli

0

114553

# -*- coding: utf-8 -*- """Collection of mathematical functions.""" import numpy as np from .core import (angle, besselI0, besselI1, besselK0, besselK1, cos, cot, det, dot, exp, exp10, imag, log, log10, max, median, min, pow, rand, randn, real, rms, round, rrms, sign, sin, sqrt, sum, toComplex, unique) def symlog(x, tol=None, linearSpread=0): """Symmetric bi-logarithmic transformation (as used in matplotlib). Transforms a signed values in a logarithmic way preserving the sign. All absolute values below a certain threshold are treated zero or linearly distributed (if linearSpread>0). Parameters ---------- x : iterable array to be transformed tol : float [None] tolerance for minimum values to be treated zero (or linear) linearSpread : float define how wide linear transformation is done (0-not, 1-one decade) """ if tol is None: tol = np.min(np.abs(x)) return np.sign(x) * (np.log10(1 + np.abs(x/tol))+linearSpread/2)

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{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}.py

farooq-teqniqly/cookiecutter-databricks-notebook

0

108792

""" The Notebook module. """ class Notebook: """ This notebook does... """ def run(self): """ Your notebook code goes here. """ notebook = Notebook() notebook.run()

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critters/views.py

cfletcher1856/acnhcritters

0

88751

<gh_stars>0 from django.shortcuts import render from django.http import HttpResponse from django.core import serializers from .models import Fish, Bug from annoying.decorators import render_to @render_to('index.html') def index(request): return {} @render_to('critters.html') def bugs(request): bugs = Bug.objects.all() bugs_json = serializers.serialize("json", bugs) return { 'critters_json': bugs_json, 'critter_type': 'Bugs', } @render_to('critters.html') def fishes(request): fishes = Fish.objects.all() fishes_json = serializers.serialize("json", fishes) return { 'critters_json': fishes_json, 'critter_type': 'Fishes', } @render_to('bug.html') def bug(request, entity_id): bug = Bug.objects.get(entity_id=entity_id) return { 'bug': bug } @render_to('fish.html') def fish(request, entity_id): return {}

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wafextras/lyx2tex.py

tjhunter/phd-thesis-tjhunter

1

32764

""" Converts some lyx files to the latex format. Note: everything in the file is thrown away until a section or the workd "stopskip" is found. This way, all the preamble added by lyx is removed. """ from waflib import Logs from waflib import TaskGen,Task from waflib import Utils from waflib.Configure import conf def postprocess_lyx(src, tgt): Logs.debug("post-processing %s into %s" % (src,tgt)) f_src = open(src,'r') f_tgt = open(tgt,'w') toks = ['\\documentclass','\\usepackage','\\begin{document}','\\end{document}','\\geometry','\\PassOptionsToPackage'] keep = False for l in f_src: this_keep = ("stopskip" in l) or ("\\section" in l) or ("\\chapter" in l) if this_keep: print "start to keep" keep = keep or this_keep local_skip = False for tok in toks: local_skip = local_skip or l.startswith(tok) local_keep = False if local_skip else keep if local_keep: f_tgt.write(l) f_src.close() f_tgt.close() return 0 def process_lyx(task): input0 = task.inputs[0] src = input0.abspath() input1 = input0.change_ext("_tmp.lyx") output0 =task.outputs[0] tgt = output0.abspath() print "processing lyx file %s" % src t = task.exec_command("cp %s %s" % (input0.abspath(), input1.abspath())) if t != 0: return t t = task.exec_command("%s --export pdflatex %s" % (task.env.LYX, input1.abspath())) if t != 0: return t t = postprocess_lyx(input1.change_ext(".tex").abspath(),output0.abspath()) return t class PostprocessLyx(Task.Task): def run(self): #Logs.debug("in post process") return postprocess_lyx(self.inputs[0].abspath(),self.outputs[0].abspath()) @conf def lyx2tex(bld, lyx_file): lyx_files = Utils.to_list(lyx_file) for a in lyx_files: b = a.change_ext("_tmp.lyx") c = a.change_ext("_tmp.tex") d = a.change_ext(".tex") bld(rule="cp ${SRC} ${TGT}",source=a,target=b) tsk0 = bld(rule="${LYX} --export pdflatex ${SRC}",source=b,target=c) tsk = tsk0.create_task("PostprocessLyx") tsk.set_inputs(c) tsk.set_outputs(d) def configure(conf): conf.find_program('lyx',var='LYX')

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main.py

mehmet-karagoz/RPG-Battle-Game

1

71953

import pygame import random import button from pygame import mixer pygame.init() clock = pygame.time.Clock() fps = 60 #game window screen_width = 800 screen_height = 400 #game variables current_fighter = 1 total_fighter = 2 action_cooldown = 0 action_wait_time = 90 attack = False potion = False potion_effect = 30 clicked = False game_over = 0 victory_sound = 0 defeat_sound = 0 #fonts font = pygame.font.SysFont("Times New Roman", 26) font_potion = pygame.font.SysFont("Times New Roman", 15) #colors red = (255, 0, 0) green = (0, 255, 0) screen = pygame.display.set_mode((screen_width, screen_height)) pygame.display.set_caption("RPG Battle") icon = pygame.image.load("img/Icons/rpg-game.png").convert_alpha() pygame.display.set_icon(icon) #sound effect mixer.music.load("sounds/Battle.mp3") mixer.music.play(-1) #load images #background image background_img = pygame.image.load("img/Background/background.png").convert_alpha() potion_img = pygame.image.load("img/Potions/h0.png").convert_alpha() sword_img = pygame.image.load("img/Icons/sword.png").convert_alpha() victory_img = pygame.image.load("img/Icons/victory.png").convert_alpha() defeat_img = pygame.image.load("img/Icons/defeat.png").convert_alpha() restart_img = pygame.image.load("img/Icons/restart.png").convert_alpha() # functions #draw text def draw(text, font, text_color, x ,y): img = font.render(text, True, text_color) screen.blit(img,( x, y)) #draw background def draw_background(): screen.blit(background_img, (0,0)) #classes class Fighter(): def __init__(self, x, y, name , max_hp, strength, potions): self.x = x self.y = y self.name = name self.max_hp = max_hp self.hp = max_hp self.strength = strength self.start_potions = potions self.potions = potions self.alive = True self.animation_list = [] self.frame_index = 0 self.action = 0 self.update_time = pygame.time.get_ticks() #Idle if self.name == "Priestess": range_num = 8 else: range_num = 4 temp_list = [] for i in range(range_num): img = pygame.image.load(f"img/{self.name}/Idle/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Attack temp_list = [] for i in range(7): img = pygame.image.load(f"img/{self.name}/Attack/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Hurt temp_list = [] if self.name == "Priestess": range_num = 7 else: range_num = 2 for i in range(range_num): img = pygame.image.load(f"img/{self.name}/Hurt/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Death temp_list = [] if self.name == "Priestess": range_num = 16 else: range_num = 8 for i in range(range_num): img = pygame.image.load(f"img/{self.name}/Death/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Heal temp_list = [] for i in range(12): img = pygame.image.load(f"img/Priestess/Heal/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) #Walk temp_list = [] for i in range(8): img = pygame.image.load(f"img/Priestess/Walk/{i}.png") img = pygame.transform.scale(img, (img.get_width() * 3, img.get_height() * 3)) temp_list.append(img) self.animation_list.append(temp_list) self.image = self.animation_list[self.action][self.frame_index] self.rect = self.image.get_rect() self.rect.center = (x, y) def update(self): animation_cooldown = 100 self.image = self.animation_list[self.action][self.frame_index] if pygame.time.get_ticks() - self.update_time > animation_cooldown: self.update_time = pygame.time.get_ticks() self.frame_index += 1 if self.frame_index >= len(self.animation_list[self.action]): if self.action == 3: self.frame_index = len(self.animation_list[self.action])-1 else: self.idle() def idle(self): self.action = 0 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def attack(self, target): distance = abs(self.rect.centerx - target.rect.centerx) if target.name == "Priestess": distance += 45 if distance <= 179: rand = random.randint(-5, 5) damage = self.strength + rand target.hp -= damage target.hurt() mixer.Sound("sounds/bandit_hurt.mp3").play() if target.hp <= 0: target.alive = False target.death() mixer.Sound("sounds/bandit_death.mp3").play() #animate damage_text = Damage_Text(target.rect.centerx, target.rect.centery,str(damage), red) damage_text_group.add(damage_text) self.action = 1 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def hurt(self): self.action = 2 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def heal(self): self.action = 4 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def walk(self): self.action = 5 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def death(self): self.action = 3 self.frame_index = 0 self.update_time = pygame.time.get_ticks() def reset(self): self.alive = True self.potions = self.start_potions self.frame_index = 0 self.action = 0 self.hp = self.max_hp self.update_time = pygame.time.get_ticks() self.rect.centerx = self.x self.rect.centery = self.y def draw(self): screen.blit(self.image, self.rect) class HealthBar(): def __init__(self, x, y, hp, max_hp): self.x = x self.y = y self.hp = hp self.max_hp = max_hp img = pygame.image.load("img/Icons/health_bar.png") self.image = pygame.transform.scale(img, (img.get_width() * 4, img.get_height() * 2)) self.rect = self.image.get_rect() self.rect.center = (x, y) def draw(self, hp): self.hp = hp ratio = self.hp / self.max_hp screen.blit(self.image, self.rect) pygame.draw.rect(screen, red, (self.x - 126, self.y - 5, 258 * ratio, 11)) class Damage_Text(pygame.sprite.Sprite): def __init__(self, x , y, damage , color): pygame.sprite.Sprite.__init__(self) self.image = font.render(damage, True, color) self.rect = self.image.get_rect() self.rect.center = (x, y) self.counter = 0 def update(self): self.rect.y -= 1 self.counter += 1 if self.counter > 30: self.kill() damage_text_group = pygame.sprite.Group() priestess = Fighter(220, 130, "Priestess", 80, 30, 3) bandit = Fighter(540, 230, "Bandit", 80, 25, 2) priestess_health_bar = HealthBar(200, 30, priestess.hp, priestess.max_hp) bandit_health_bar = HealthBar(600, 30, bandit.hp, bandit.max_hp) potion_button = button.Button(screen, 30, 300, potion_img, 32,32) restart_button = button.Button(screen, 280, 300, restart_img, 220,60) run = True priestess_x_change = 0 while run: clock.tick(fps) draw_background() # draw fighters priestess.update() priestess.draw() bandit.update() bandit.draw() damage_text_group.update() damage_text_group.draw(screen) #fighter stats priestess_health_bar.draw(priestess.hp) bandit_health_bar.draw(bandit.hp) #control actions attack = False potion = False position = pygame.mouse.get_pos() pygame.mouse.set_visible(True) if bandit.rect.collidepoint(position): pygame.mouse.set_visible(False) screen.blit(sword_img, position) if clicked and bandit.alive: attack = True if potion_button.draw(): potion = True draw(str(priestess.potions), font_potion, green, 63, 313) if game_over == 0: #attack if priestess.alive: if current_fighter == 1: action_cooldown += 1 if action_cooldown >= action_wait_time: if attack: priestess.attack(bandit) mixer.Sound("sounds/priestess_attack.mp3").play() current_fighter += 1 action_cooldown = 0 if potion: if priestess.potions > 0: if priestess.max_hp - priestess.hp > potion_effect: heal_amount = potion_effect else: heal_amount = priestess.max_hp - priestess.hp priestess.hp += heal_amount priestess.heal() heal_text = Damage_Text(priestess.rect.centerx, priestess.rect.centery,str(heal_amount), green) damage_text_group.add(heal_text) priestess.potions -= 1 current_fighter += 1 action_cooldown = 0 else: game_over = -1 if bandit.alive: if current_fighter == 2: action_cooldown += 1 if action_cooldown >= action_wait_time: bandit.attack(priestess) mixer.Sound("sounds/bandit_attack.wav").play() current_fighter += 1 action_cooldown = 0 else: current_fighter += 1 game_over = 1 if current_fighter > total_fighter: current_fighter = 1 if game_over != 0: if game_over == 1: screen.blit(victory_img, (125, 50)) victory_sound += 1 if victory_sound == 1: mixer.Sound("sounds/victory.wav").play() else: screen.blit(defeat_img, (186, 40)) defeat_sound += 1 if defeat_sound == 1: mixer.Sound("sounds/defeat.mp3").play() if restart_button.draw(): priestess.reset() bandit.reset() current_fighter = 1 action_cooldown = 0 game_over = 0 victory_sound = 0 defeat_sound = 0 priestess.rect.centerx += priestess_x_change if priestess.rect.centerx <= 85: priestess.rect.centerx = 85 elif priestess.rect.centerx >= 478: priestess.rect.centerx = 478 for event in pygame.event.get(): if event.type == pygame.QUIT: run = False if event.type == pygame.KEYDOWN: if event.key == pygame.K_LEFT: priestess_x_change = -3 priestess.walk() if event.key == pygame.K_RIGHT: priestess_x_change = 3 priestess.walk() else: priestess_x_change = 0 if event.type == pygame.MOUSEBUTTONDOWN: clicked = True else: clicked = False pygame.display.update() pygame.quit()

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functions/aurora_check_status.py

aws-samples/aws-stepfunctions-aurora-clone

7

14346

import boto3 client = boto3.client('rds') def lambda_handler(event, context): target_db_cluster_identifier=event['TargetDBClusterIdentifier'] payload = event.copy() try: response = client.describe_db_clusters(DBClusterIdentifier=target_db_cluster_identifier) payload['status'] = response['DBClusters'][0]['Status'] return payload except client.exceptions.DBClusterNotFoundFault as e: print(e) payload['status'] = 'not-found' payload['message'] = 'There is no cluster to remove...' return payload

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yolo/evaluate.py

antcc/proyecto-vc

0

188695

import numpy as np import os from .utils.utils import get_yolo_boxes, makedirs def evaluate_full(model, generator, obj_thresh = 0.5, nms_thresh = 0.5, net_h = 416, net_w = 416, save_path = ""): # Predict boxes all_detections, all_annotations = predict_boxes( model, generator, obj_thresh, nms_thresh, net_h, net_w, save_path) # Compute mAP m_ap, ap = evaluate_coco( model, generator, all_detections, all_annotations) return m_ap[0], ap[0] def predict_boxes(model, generator, obj_thresh = 0.5, nms_thresh = 0.5, net_h = 416, net_w = 416, save_path = ""): # gather all detections and annotations all_detections = [[None for i in range(generator.num_classes())] for j in range(generator.size())] all_annotations = [[None for i in range(generator.num_classes())] for j in range(generator.size())] # Open file for output save = len(save_path) > 0 f = None if save: dir_path = os.path.split(save_path)[0] + "/" if not os.path.isdir(dir_path): makedirs(dir_path) f = open(save_path, "w") for i in range(generator.size()): raw_image = [generator.load_image(i)] # Write image name to file if save: f.write("# " + generator.img_filename(i) + "\n") # make the boxes and the labels pred_boxes = get_yolo_boxes(model, raw_image, net_h, net_w, generator.get_anchors(), obj_thresh, nms_thresh)[0] score = np.array([box.get_score() for box in pred_boxes]) pred_labels = np.array([box.label for box in pred_boxes]) if len(pred_boxes) > 0: pred_boxes = np.array([[box.xmin, box.ymin, box.xmax, box.ymax, box.get_score()] for box in pred_boxes]) else: pred_boxes = np.array([[]]) # sort the boxes and the labels according to scores score_sort = np.argsort(-score) pred_labels = pred_labels[score_sort] pred_boxes = pred_boxes[score_sort] # copy detections to all_detections for label in range(generator.num_classes()): all_detections[i][label] = pred_boxes[pred_labels == label, :] # Write detection to file if save: for d in all_detections[i][label]: face_str = '{:.1f} {:.1f} {:.1f} {:.1f} {:f}\n'.format(d[0], d[1], d[2] - d[0], d[3] - d[1], d[4]) f.write(face_str) annotations = generator.load_annotation(i) # copy detections to all_annotations for label in range(generator.num_classes()): all_annotations[i][label] = annotations[annotations[:, 4] == label, :4].copy() return all_detections, all_annotations def evaluate_coco(model, generator, all_detections, all_annotations, iou_start = 0.5, iou_step = 0.05, num_iou = 10): # Avergage AP overmany IoU thresholds iou_thresh_lst = np.array([iou_start + i * iou_step for i in range(num_iou)]) # compute mAP by comparing all detections and all annotations mean_average_precisions = {} average_precisions = {} for label in range(generator.num_classes()): false_positives = [np.zeros((0,)) for j in range(num_iou)] true_positives = [np.zeros((0,)) for j in range(num_iou)] scores = np.zeros((0,)) num_annotations = 0.0 for i in range(generator.size()): detections = all_detections[i][label] annotations = all_annotations[i][label] num_annotations += annotations.shape[0] detected_annotations = [] for d in detections: scores = np.append(scores, d[4]) if annotations.shape[0] == 0: for j in range(num_iou): false_positives[j] = np.append(false_positives[j], 1) true_positives[j] = np.append(true_positives[j], 0) continue overlaps = compute_overlap(np.expand_dims(d, axis=0), annotations) assigned_annotation = np.argmax(overlaps, axis=1) max_overlap = overlaps[0, assigned_annotation] if assigned_annotation in detected_annotations: for j in range(num_iou): false_positives[j] = np.append(false_positives[j], 1) true_positives[j] = np.append(true_positives[j], 0) else: for j, iou_thresh in enumerate(iou_thresh_lst): if max_overlap >= iou_thresh: false_positives[j] = np.append(false_positives[j], 0) true_positives[j] = np.append(true_positives[j], 1) else: false_positives[j] = np.append(false_positives[j], 1) true_positives[j] = np.append(true_positives[j], 0) if (max_overlap >= iou_thresh_lst).any(): detected_annotations.append(assigned_annotation) # no annotations -> AP for this class is 0 (is this correct?) if num_annotations == 0: mean_average_precisions[label] = 0 average_precisions[label] = 0 continue # sort by score indices = np.argsort(-scores) recall = [np.zeros((0,)) for j in range(num_iou)] precision = [np.zeros((0,)) for j in range(num_iou)] average_precision = 0.0 for j in range(num_iou): false_positives[j] = false_positives[j][indices] true_positives[j] = true_positives[j][indices] # compute false positives and true positives false_positives[j] = np.cumsum(false_positives[j]) true_positives[j] = np.cumsum(true_positives[j]) # compute recall and precision recall[j] = true_positives[j] / num_annotations precision[j] = true_positives[j] / np.maximum(true_positives[j] + false_positives[j], np.finfo(np.float64).eps) # compute average precision average_precision = average_precision + compute_ap(recall[j], precision[j]) if j == 0: average_precisions[label] = average_precision mean_average_precisions[label] = average_precision / float(num_iou) return mean_average_precisions, average_precisions def evaluate_pascal(model, generator, all_detections, all_annotations, iou_threshold = 0.5): """ Evaluate a given dataset using a given model. code originally from https://github.com/fizyr/keras-retinanet # Arguments model : The model to evaluate. generator : The generator that represents the dataset to evaluate. iou_threshold : The threshold used to consider when a detection is positive or negative. obj_thresh : The threshold used to distinguish between object and non-object nms_thresh : The threshold used to determine whether two detections are duplicates net_h : The height of the input image to the model, higher value results in better accuracy net_w : The width of the input image to the model save_path : The path to save images with visualized detections to. # Returns A dict mapping class names to mAP scores. """ # compute mAP by comparing all detections and all annotations average_precisions = {} for label in range(generator.num_classes()): false_positives = np.zeros((0,)) true_positives = np.zeros((0,)) scores = np.zeros((0,)) num_annotations = 0.0 for i in range(generator.size()): detections = all_detections[i][label] annotations = all_annotations[i][label] num_annotations += annotations.shape[0] detected_annotations = [] for d in detections: scores = np.append(scores, d[4]) if annotations.shape[0] == 0: false_positives = np.append(false_positives, 1) true_positives = np.append(true_positives, 0) continue overlaps = compute_overlap(np.expand_dims(d, axis=0), annotations) assigned_annotation = np.argmax(overlaps, axis=1) max_overlap = overlaps[0, assigned_annotation] if max_overlap >= iou_threshold and assigned_annotation not in detected_annotations: false_positives = np.append(false_positives, 0) true_positives = np.append(true_positives, 1) detected_annotations.append(assigned_annotation) else: false_positives = np.append(false_positives, 1) true_positives = np.append(true_positives, 0) # no annotations -> AP for this class is 0 (is this correct?) if num_annotations == 0: average_precisions[label] = 0 continue # sort by score indices = np.argsort(-scores) false_positives = false_positives[indices] true_positives = true_positives[indices] # compute false positives and true positives false_positives = np.cumsum(false_positives) true_positives = np.cumsum(true_positives) # compute recall and precision recall = true_positives / num_annotations precision = true_positives / np.maximum(true_positives + false_positives, np.finfo(np.float64).eps) # compute average precision average_precision = compute_ap(recall, precision) average_precisions[label] = average_precision return average_precisions def compute_overlap(a, b): """ Code originally from https://github.com/rbgirshick/py-faster-rcnn. Parameters ---------- a: (N, 4) ndarray of float b: (K, 4) ndarray of float Returns ------- overlaps: (N, K) ndarray of overlap between boxes and query_boxes """ area = (b[:, 2] - b[:, 0]) * (b[:, 3] - b[:, 1]) iw = np.minimum(np.expand_dims(a[:, 2], axis=1), b[:, 2]) - np.maximum(np.expand_dims(a[:, 0], 1), b[:, 0]) ih = np.minimum(np.expand_dims(a[:, 3], axis=1), b[:, 3]) - np.maximum(np.expand_dims(a[:, 1], 1), b[:, 1]) iw = np.maximum(iw, 0) ih = np.maximum(ih, 0) ua = np.expand_dims((a[:, 2] - a[:, 0]) * (a[:, 3] - a[:, 1]), axis=1) + area - iw * ih ua = np.maximum(ua, np.finfo(float).eps) intersection = iw * ih return intersection / ua def compute_ap(recall, precision): """ Compute the average precision, given the recall and precision curves. Code originally from https://github.com/rbgirshick/py-faster-rcnn. # Arguments recall: The recall curve (list). precision: The precision curve (list). # Returns The average precision as computed in py-faster-rcnn. """ # correct AP calculation # first append sentinel values at the end mrec = np.concatenate(([0.], recall, [1.])) mpre = np.concatenate(([0.], precision, [0.])) # compute the precision envelope for i in range(mpre.size - 1, 0, -1): mpre[i - 1] = np.maximum(mpre[i - 1], mpre[i]) # to calculate area under PR curve, look for points # where X axis (recall) changes value i = np.where(mrec[1:] != mrec[:-1])[0] # and sum (\Delta recall) * prec ap = np.sum((mrec[i + 1] - mrec[i]) * mpre[i + 1]) #another way: interpolating r in {0,0.01,0.02,...,1} # ap = 1/101. * np.sum_{r=0,0.01,...,1} (mpre[r]) return ap

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dataset_toolkit/Export/AbstractExport.py

PeloriTech/DatasetToolkit

0

118040

from abc import ABC, abstractmethod from dataset_toolkit.Model.AnnotationModel import AnnotationModel class AbstractExport(ABC): @abstractmethod def start(self): pass @abstractmethod def append(self, new_dataset_dir: str, new_annotations_dir: str, annotation_model: AnnotationModel, new_annotation_filename: str): pass @abstractmethod def close(self): pass

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tests/test_main.py

JD-ETH/CompilerGym

0

193875

# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import os import sys from typing import List, Optional import gym import pytest import compiler_gym # noqa Register environments. def main( extra_pytest_args: Optional[List[str]] = None, verbose_service_logging: bool = True ): """The main entry point for the pytest runner. An example file which uses this: from compiler_gym.util.test_main import main def test_foo(): assert 1 + 1 == 2 if __name__ == "__main__": main() In the above, the single test_foo test will be executed. :param extra_pytest_args: A list of additional command line options to pass to pytest. :param verbose_service_logging: Whether to enable verbose CompilerGym service logging, useful for debugging failing tests. """ # Use isolated data directories for running tests. os.environ["COMPILER_GYM_SITE_DATA"] = "/tmp/compiler_gym/tests/site_data" os.environ["COMPILER_GYM_CACHE"] = "/tmp/compiler_gym/tests/cache" # Install some benchmarks for the LLVM environment as otherwise # reset() will fail. env = gym.make("llvm-v0") try: env.require_dataset("cBench-v0") finally: env.close() # Use verbose backend debugging when running tests. If a test fails, the debugging # output will be included in the captured stderr. if verbose_service_logging: os.environ["COMPILER_GYM_SERVICE_DEBUG"] = "1" pytest_args = sys.argv + ["-vv"] # Support for sharding. If a py_test target has the shard_count attribute # set (in the range [1,50]), then the pytest-shard module is used to divide # the tests among the shards. See https://pypi.org/project/pytest-shard/ sharded_test = os.environ.get("TEST_TOTAL_SHARDS") if sharded_test: num_shards = int(os.environ["TEST_TOTAL_SHARDS"]) shard_index = int(os.environ["TEST_SHARD_INDEX"]) pytest_args += [f"--shard-id={shard_index}", f"--num-shards={num_shards}"] else: pytest_args += ["-p", "no:pytest-shard"] pytest_args += extra_pytest_args or [] sys.exit(pytest.main(pytest_args))

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AcdUtilLib.py

fermi-lat/AcdUtil

0

62084

# $Header: /nfs/slac/g/glast/ground/cvs/GlastRelease-scons/AcdUtil/AcdUtilLib.py,v 1.4 2009/08/08 01:08:04 jrb Exp $ def generate(env, **kw): if not kw.get('depsOnly', 0): env.Tool('addLibrary', library = ['AcdUtil']) if env['PLATFORM'] == 'win32': env.Tool('findPkgPath', package = 'AcdUtil') env.Tool('addLibrary', library = ['AcdUtilCommon']) env.Tool('CalibDataLib') env.Tool('geometryLib') env.Tool('xmlBaseLib') env.Tool('rdbModelLib') env.Tool('calibUtilLib') env.Tool('EventLib') env.Tool('GlastSvcLib') env.Tool('mootCoreLib') env.Tool('facilitiesLib') env.Tool('addLibrary', library = env['gaudiLibs']) env.Tool('addLibrary', library = env['mysqlLibs']) env.Tool('addLibrary', library = env['clhepLibs']) env.Tool('addLibrary', library = env['cppunitLibs']) env.Tool('addLibrary', library = env['xercesLibs']) if env['PLATFORM']=='win32' and env.get('CONTAINERNAME','')=='GlastRelease': env.Tool('findPkgPath', package='CalibSvc') # only needed for building static lib and compiling TestAcdUtil.cxx if kw.get('incsOnly', 0) == 1: env.Tool('findPkgPath', package = 'GlastSvc') env.Tool('findPkgPath', package = 'idents') env.Tool('findPkgPath', package = 'geometry') env.Tool('findPkgPath', package = 'Event') env.Tool('findPkgPath', package = 'enums') def exists(env): return 1;

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selfdrive/sensord/rawgps/structs.py

TC921/openpilot

0

2862

from struct import unpack_from, calcsize LOG_GNSS_POSITION_REPORT = 0x1476 LOG_GNSS_GPS_MEASUREMENT_REPORT = 0x1477 LOG_GNSS_CLOCK_REPORT = 0x1478 LOG_GNSS_GLONASS_MEASUREMENT_REPORT = 0x1480 LOG_GNSS_BDS_MEASUREMENT_REPORT = 0x1756 LOG_GNSS_GAL_MEASUREMENT_REPORT = 0x1886 LOG_GNSS_OEMDRE_MEASUREMENT_REPORT = 0x14DE LOG_GNSS_OEMDRE_SVPOLY_REPORT = 0x14E1 LOG_GNSS_ME_DPO_STATUS = 0x1838 LOG_GNSS_CD_DB_REPORT = 0x147B LOG_GNSS_PRX_RF_HW_STATUS_REPORT = 0x147E LOG_CGPS_SLOW_CLOCK_CLIB_REPORT = 0x1488 LOG_GNSS_CONFIGURATION_STATE = 0x1516 glonass_measurement_report = """ uint8_t version; uint32_t f_count; uint8_t glonass_cycle_number; uint16_t glonass_number_of_days; uint32_t milliseconds; float time_bias; float clock_time_uncertainty; float clock_frequency_bias; float clock_frequency_uncertainty; uint8_t sv_count; """ glonass_measurement_report_sv = """ uint8_t sv_id; int8_t frequency_index; uint8_t observation_state; // SVObservationStates uint8_t observations; uint8_t good_observations; uint8_t hemming_error_count; uint8_t filter_stages; uint16_t carrier_noise; int16_t latency; uint8_t predetect_interval; uint16_t postdetections; uint32_t unfiltered_measurement_integral; float unfiltered_measurement_fraction; float unfiltered_time_uncertainty; float unfiltered_speed; float unfiltered_speed_uncertainty; uint32_t measurement_status; uint8_t misc_status; uint32_t multipath_estimate; float azimuth; float elevation; int32_t carrier_phase_cycles_integral; uint16_t carrier_phase_cycles_fraction; float fine_speed; float fine_speed_uncertainty; uint8_t cycle_slip_count; uint32_t pad; """ gps_measurement_report = """ uint8_t version; uint32_t f_count; uint16_t week; uint32_t milliseconds; float time_bias; float clock_time_uncertainty; float clock_frequency_bias; float clock_frequency_uncertainty; uint8_t sv_count; """ gps_measurement_report_sv = """ uint8_t sv_id; uint8_t observation_state; // SVObservationStates uint8_t observations; uint8_t good_observations; uint16_t parity_error_count; uint8_t filter_stages; uint16_t carrier_noise; int16_t latency; uint8_t predetect_interval; uint16_t postdetections; uint32_t unfiltered_measurement_integral; float unfiltered_measurement_fraction; float unfiltered_time_uncertainty; float unfiltered_speed; float unfiltered_speed_uncertainty; uint32_t measurement_status; uint8_t misc_status; uint32_t multipath_estimate; float azimuth; float elevation; int32_t carrier_phase_cycles_integral; uint16_t carrier_phase_cycles_fraction; float fine_speed; float fine_speed_uncertainty; uint8_t cycle_slip_count; uint32_t pad; """ position_report = """ uint8 u_Version; /* Version number of DM log */ uint32 q_Fcount; /* Local millisecond counter */ uint8 u_PosSource; /* Source of position information */ /* 0: None 1: Weighted least-squares 2: Kalman filter 3: Externally injected 4: Internal database */ uint32 q_Reserved1; /* Reserved memory field */ uint16 w_PosVelFlag; /* Position velocity bit field: (see DM log 0x1476 documentation) */ uint32 q_PosVelFlag2; /* Position velocity 2 bit field: (see DM log 0x1476 documentation) */ uint8 u_FailureCode; /* Failure code: (see DM log 0x1476 documentation) */ uint16 w_FixEvents; /* Fix events bit field: (see DM log 0x1476 documentation) */ uint32 _fake_align_week_number; uint16 w_GpsWeekNumber; /* GPS week number of position */ uint32 q_GpsFixTimeMs; /* GPS fix time of week of in milliseconds */ uint8 u_GloNumFourYear; /* Number of Glonass four year cycles */ uint16 w_GloNumDaysInFourYear; /* Glonass calendar day in four year cycle */ uint32 q_GloFixTimeMs; /* Glonass fix time of day in milliseconds */ uint32 q_PosCount; /* Integer count of the number of unique positions reported */ uint64 t_DblFinalPosLatLon[2]; /* Final latitude and longitude of position in radians */ uint32 q_FltFinalPosAlt; /* Final height-above-ellipsoid altitude of position */ uint32 q_FltHeadingRad; /* User heading in radians */ uint32 q_FltHeadingUncRad; /* User heading uncertainty in radians */ uint32 q_FltVelEnuMps[3]; /* User velocity in east, north, up coordinate frame. In meters per second. */ uint32 q_FltVelSigmaMps[3]; /* Gaussian 1-sigma value for east, north, up components of user velocity */ uint32 q_FltClockBiasMeters; /* Receiver clock bias in meters */ uint32 q_FltClockBiasSigmaMeters; /* Gaussian 1-sigma value for receiver clock bias in meters */ uint32 q_FltGGTBMeters; /* GPS to Glonass time bias in meters */ uint32 q_FltGGTBSigmaMeters; /* Gaussian 1-sigma value for GPS to Glonass time bias uncertainty in meters */ uint32 q_FltGBTBMeters; /* GPS to BeiDou time bias in meters */ uint32 q_FltGBTBSigmaMeters; /* Gaussian 1-sigma value for GPS to BeiDou time bias uncertainty in meters */ uint32 q_FltBGTBMeters; /* BeiDou to Glonass time bias in meters */ uint32 q_FltBGTBSigmaMeters; /* Gaussian 1-sigma value for BeiDou to Glonass time bias uncertainty in meters */ uint32 q_FltFiltGGTBMeters; /* Filtered GPS to Glonass time bias in meters */ uint32 q_FltFiltGGTBSigmaMeters; /* Filtered Gaussian 1-sigma value for GPS to Glonass time bias uncertainty in meters */ uint32 q_FltFiltGBTBMeters; /* Filtered GPS to BeiDou time bias in meters */ uint32 q_FltFiltGBTBSigmaMeters; /* Filtered Gaussian 1-sigma value for GPS to BeiDou time bias uncertainty in meters */ uint32 q_FltFiltBGTBMeters; /* Filtered BeiDou to Glonass time bias in meters */ uint32 q_FltFiltBGTBSigmaMeters; /* Filtered Gaussian 1-sigma value for BeiDou to Glonass time bias uncertainty in meters */ uint32 q_FltSftOffsetSec; /* SFT offset as computed by WLS in seconds */ uint32 q_FltSftOffsetSigmaSec; /* Gaussian 1-sigma value for SFT offset in seconds */ uint32 q_FltClockDriftMps; /* Clock drift (clock frequency bias) in meters per second */ uint32 q_FltClockDriftSigmaMps; /* Gaussian 1-sigma value for clock drift in meters per second */ uint32 q_FltFilteredAlt; /* Filtered height-above-ellipsoid altitude in meters as computed by WLS */ uint32 q_FltFilteredAltSigma; /* Gaussian 1-sigma value for filtered height-above-ellipsoid altitude in meters */ uint32 q_FltRawAlt; /* Raw height-above-ellipsoid altitude in meters as computed by WLS */ uint32 q_FltRawAltSigma; /* Gaussian 1-sigma value for raw height-above-ellipsoid altitude in meters */ uint32 align_Flt[14]; uint32 q_FltPdop; /* 3D position dilution of precision as computed from the unweighted uint32 q_FltHdop; /* Horizontal position dilution of precision as computed from the unweighted least-squares covariance matrix */ uint32 q_FltVdop; /* Vertical position dilution of precision as computed from the unweighted least-squares covariance matrix */ uint8 u_EllipseConfidence; /* Statistical measure of the confidence (percentage) associated with the uncertainty ellipse values */ uint32 q_FltEllipseAngle; /* Angle of semimajor axis with respect to true North, with increasing angles moving clockwise from North. In units of degrees. */ uint32 q_FltEllipseSemimajorAxis; /* Semimajor axis of final horizontal position uncertainty error ellipse. In units of meters. */ uint32 q_FltEllipseSemiminorAxis; /* Semiminor axis of final horizontal position uncertainty error ellipse. In units of meters. */ uint32 q_FltPosSigmaVertical; /* Gaussian 1-sigma value for final position height-above-ellipsoid altitude in meters */ uint8 u_HorizontalReliability; /* Horizontal position reliability 0: Not set 1: Very Low 2: Low 3: Medium 4: High */ uint8 u_VerticalReliability; /* Vertical position reliability */ uint16 w_Reserved2; /* Reserved memory field */ uint32 q_FltGnssHeadingRad; /* User heading in radians derived from GNSS only solution */ uint32 q_FltGnssHeadingUncRad; /* User heading uncertainty in radians derived from GNSS only solution */ uint32 q_SensorDataUsageMask; /* Denotes which additional sensor data were used to compute this position fix. BIT[0] 0x00000001 <96> Accelerometer BIT[1] 0x00000002 <96> Gyro 0x0000FFFC - Reserved A bit set to 1 indicates that certain fields as defined by the SENSOR_AIDING_MASK were aided with sensor data*/ uint32 q_SensorAidMask; /* Denotes which component of the position report was assisted with additional sensors defined in SENSOR_DATA_USAGE_MASK BIT[0] 0x00000001 <96> Heading aided with sensor data BIT[1] 0x00000002 <96> Speed aided with sensor data BIT[2] 0x00000004 <96> Position aided with sensor data BIT[3] 0x00000008 <96> Velocity aided with sensor data 0xFFFFFFF0 <96> Reserved */ uint8 u_NumGpsSvsUsed; /* The number of GPS SVs used in the fix */ uint8 u_TotalGpsSvs; /* Total number of GPS SVs detected by searcher, including ones not used in position calculation */ uint8 u_NumGloSvsUsed; /* The number of Glonass SVs used in the fix */ uint8 u_TotalGloSvs; /* Total number of Glonass SVs detected by searcher, including ones not used in position calculation */ uint8 u_NumBdsSvsUsed; /* The number of BeiDou SVs used in the fix */ uint8 u_TotalBdsSvs; /* Total number of BeiDou SVs detected by searcher, including ones not used in position calculation */ """ def name_to_camelcase(nam): ret = [] i = 0 while i < len(nam): if nam[i] == "_": ret.append(nam[i+1].upper()) i += 2 else: ret.append(nam[i]) i += 1 return ''.join(ret) def parse_struct(ss): st = "<" nams = [] for l in ss.strip().split("\n"): typ, nam = l.split(";")[0].split() #print(typ, nam) if typ == "float" or '_Flt' in nam: st += "f" elif typ == "double" or '_Dbl' in nam: st += "d" elif typ in ["uint8", "uint8_t"]: st += "B" elif typ in ["int8", "int8_t"]: st += "b" elif typ in ["uint32", "uint32_t"]: st += "I" elif typ in ["int32", "int32_t"]: st += "i" elif typ in ["uint16", "uint16_t"]: st += "H" elif typ in ["int16", "int16_t"]: st += "h" elif typ == "uint64": st += "Q" else: print("unknown type", typ) assert False if '[' in nam: cnt = int(nam.split("[")[1].split("]")[0]) st += st[-1]*(cnt-1) for i in range(cnt): nams.append("%s[%d]" % (nam.split("[")[0], i)) else: nams.append(nam) return st, nams def dict_unpacker(ss, camelcase = False): st, nams = parse_struct(ss) if camelcase: nams = [name_to_camelcase(x) for x in nams] sz = calcsize(st) return lambda x: dict(zip(nams, unpack_from(st, x))), sz

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qstklearn/1knn.py

elxavicio/QSTK

339

1790

<filename>qstklearn/1knn.py<gh_stars>100-1000 ''' (c) 2011, 2012 Georgia Tech Research Corporation This source code is released under the New BSD license. Please see http://wiki.quantsoftware.org/index.php?title=QSTK_License for license details. Created on Feb 20, 2011 @author: <NAME> @organization: Georgia Institute of Technology @contact: <EMAIL> @summary: This is an implementation of the 1-KNN algorithm for ranking features quickly. It uses the knn implementation. @status: oneKNN functions correctly, optimized to use n^2/2 algorithm. ''' import matplotlib.pyplot as plt from pylab import gca import itertools import string import numpy as np import math import knn from time import clock ''' @summary: Query function for 1KNN, return value is a double between 0 and 1. @param naData: A 2D numpy array. Each row is a data point with the final column containing the classification. ''' def oneKnn( naData ): if naData.ndim != 2: raise Exception( "Data should have two dimensions" ) lLen = naData.shape[0] ''' # of dimensions, subtract one for classification ''' lDim = naData.shape[1] - 1 ''' Start best distances as very large ''' ldDistances = [1E300] * lLen llIndexes = [-1] * lLen dDistance = 0.0; ''' Loop through finding closest neighbors ''' for i in range( lLen ): for j in range( i+1, lLen ): dDistance = 0.0 for k in range( 0, lDim ): dDistance += (naData[i][k] - naData[j][k])**2 dDistance = math.sqrt( dDistance ) ''' Two distances to check, for i's best, and j's best ''' if dDistance < ldDistances[i]: ldDistances[i] = dDistance llIndexes[i] = j if dDistance < ldDistances[j]: ldDistances[j] = dDistance llIndexes[j] = i lCount = 0 ''' Now count # of matching pairs ''' for i in range( lLen ): if naData[i][-1] == naData[ llIndexes[i] ][-1]: lCount = lCount + 1 return float(lCount) / lLen ''' Test function to plot results ''' def _plotResults( naDist1, naDist2, lfOneKnn, lf5Knn ): plt.clf() plt.subplot(311) plt.scatter( naDist1[:,0], naDist1[:,1] ) plt.scatter( naDist2[:,0], naDist2[:,1], color='r' ) #plt.ylabel( 'Feature 2' ) #plt.xlabel( 'Feature 1' ) #gca().annotate( '', xy=( .8, 0 ), xytext=( -.3 , 0 ), arrowprops=dict(facecolor='red', shrink=0.05) ) gca().annotate( '', xy=( .7, 0 ), xytext=( 1.5 , 0 ), arrowprops=dict(facecolor='black', shrink=0.05) ) plt.title( 'Data Distribution' ) plt.subplot(312) plt.plot( range( len(lfOneKnn) ), lfOneKnn ) plt.ylabel( '1-KNN Value' ) #plt.xlabel( 'Distribution Merge' ) plt.title( '1-KNN Performance' ) plt.subplot(313) plt.plot( range( len(lf5Knn) ), lf5Knn ) plt.ylabel( '% Correct Classification' ) #plt.xlabel( 'Distribution Merge' ) plt.title( '5-KNN Performance' ) plt.subplots_adjust() plt.show() ''' Function to plot 2 distributions ''' def _plotDist( naDist1, naDist2, i ): plt.clf() plt.scatter( naDist1[:,0], naDist1[:,1] ) plt.scatter( naDist2[:,0], naDist2[:,1], color='r' ) plt.ylabel( 'Feature 2' ) plt.xlabel( 'Feature 1' ) plt.title( 'Iteration ' + str(i) ) plt.show() ''' Function to test KNN performance ''' def _knnResult( naData ): ''' Split up data into training/testing ''' lSplit = naData.shape[0] * .7 naTrain = naData[:lSplit, :] naTest = naData[lSplit:, :] knn.addEvidence( naTrain.astype(float), 1 ); ''' Query with last column omitted and 5 nearest neighbors ''' naResults = knn.query( naTest[:,:-1], 5, 'mode') ''' Count returns which are correct ''' lCount = 0 for i, dVal in enumerate(naResults): if dVal == naTest[i,-1]: lCount = lCount + 1 dResult = float(lCount) / naResults.size return dResult ''' Tests performance of 1-KNN ''' def _test1(): ''' Generate three random samples to show the value of 1-KNN compared to 5KNN learner performance ''' for i in range(3): ''' Select one of three distributions ''' if i == 0: naTest1 = np.random.normal( loc=[0,0],scale=.25,size=[500,2] ) naTest1 = np.hstack( (naTest1, np.zeros(500).reshape(-1,1) ) ) naTest2 = np.random.normal( loc=[1.5,0],scale=.25,size=[500,2] ) naTest2 = np.hstack( (naTest2, np.ones(500).reshape(-1,1) ) ) elif i == 1: naTest1 = np.random.normal( loc=[0,0],scale=.25,size=[500,2] ) naTest1 = np.hstack( (naTest1, np.zeros(500).reshape(-1,1) ) ) naTest2 = np.random.normal( loc=[1.5,0],scale=.1,size=[500,2] ) naTest2 = np.hstack( (naTest2, np.ones(500).reshape(-1,1) ) ) else: naTest1 = np.random.normal( loc=[0,0],scale=.25,size=[500,2] ) naTest1 = np.hstack( (naTest1, np.zeros(500).reshape(-1,1) ) ) naTest2 = np.random.normal( loc=[1.5,0],scale=.25,size=[250,2] ) naTest2 = np.hstack( (naTest2, np.ones(250).reshape(-1,1) ) ) naOrig = np.vstack( (naTest1, naTest2) ) naBoth = np.vstack( (naTest1, naTest2) ) ''' Keep track of runtimes ''' t = clock() cOneRuntime = t-t; cKnnRuntime = t-t; lfResults = [] lfKnnResults = [] for i in range( 15 ): #_plotDist( naTest1, naBoth[100:,:], i ) t = clock() lfResults.append( oneKnn( naBoth ) ) cOneRuntime = cOneRuntime + (clock() - t) t = clock() lfKnnResults.append( _knnResult( np.random.permutation(naBoth) ) ) cKnnRuntime = cKnnRuntime + (clock() - t) naBoth[500:,0] = naBoth[500:,0] - .1 print 'Runtime OneKnn:', cOneRuntime print 'Runtime 5-KNN:', cKnnRuntime _plotResults( naTest1, naTest2, lfResults, lfKnnResults ) ''' Tests performance of 1-KNN ''' def _test2(): ''' Generate three random samples to show the value of 1-KNN compared to 5KNN learner performance ''' np.random.seed( 12345 ) ''' Create 5 distributions for each of the 5 attributes ''' dist1 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist2 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist3 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist4 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) dist5 = np.random.uniform( -1, 1, 1000 ).reshape( -1, 1 ) lDists = [ dist1, dist2, dist3, dist4, dist5 ] ''' All features used except for distribution 4 ''' distY = np.sin( dist1 ) + np.sin( dist2 ) + np.sin( dist3 ) + np.sin( dist5 ) distY = distY.reshape( -1, 1 ) for i, fVal in enumerate( distY ): if fVal >= 0: distY[i] = 1 else: distY[i] = 0 for i in range( 1, 6 ): lsNames = [] lf1Vals = [] lfVals = [] for perm in itertools.combinations( '12345', i ): ''' set test distribution to first element ''' naTest = lDists[ int(perm[0]) - 1 ] sPerm = perm[0] ''' stack other distributions on ''' for j in range( 1, len(perm) ): sPerm = sPerm + str(perm[j]) naTest = np.hstack( (naTest, lDists[ int(perm[j]) - 1 ] ) ) ''' finally stack y values ''' naTest = np.hstack( (naTest, distY) ) lf1Vals.append( oneKnn( naTest ) ) lfVals.append( _knnResult( np.random.permutation(naTest) ) ) lsNames.append( sPerm ) ''' Plot results ''' plt1 = plt.bar( np.arange(len(lf1Vals)), lf1Vals, .2, color='r' ) plt2 = plt.bar( np.arange(len(lfVals)) + 0.2, lfVals, .2, color='b' ) plt.legend( (plt1[0], plt2[0]), ('1-KNN', 'KNN, K=5') ) plt.ylabel('1-KNN Value/KNN Classification') plt.xlabel('Feature Set') plt.title('Combinations of ' + str(i) + ' Features') plt.ylim( (0,1) ) if len(lf1Vals) < 2: plt.xlim( (-1,1) ) gca().xaxis.set_ticks( np.arange(len(lf1Vals)) + .2 ) gca().xaxis.set_ticklabels( lsNames ) plt.show() if __name__ == '__main__': _test1() #_test2()

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server/pitches/migrations/0012_auto_20171216_2219.py

bholtbholt/unconf

10

184734

<gh_stars>1-10 # Generated by Django 2.0 on 2017-12-17 06:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pitches', '0011_schedule'), ] operations = [ migrations.AlterField( model_name='slot', name='end_time', field=models.TimeField(), ), migrations.AlterField( model_name='slot', name='start_time', field=models.TimeField(), ), ]

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tests/unit/test_environment.py

klmitch/stepmaker

0

98887

<filename>tests/unit/test_environment.py import os import pytest from six.moves import builtins from stepmaker import environment from stepmaker import exceptions class ExceptionForTest(Exception): pass class TestCompletedProcess(object): def test_init_base(self): result = environment.CompletedProcess(['a1', 'a2', 'a3'], 42) assert result.args == ['a1', 'a2', 'a3'] assert result.returncode == 42 assert result.stdout is None assert result.stderr is None def test_init_alt(self): result = environment.CompletedProcess( ['a1', 'a2', 'a3'], 42, 'stdout', 'stderr' ) assert result.args == ['a1', 'a2', 'a3'] assert result.returncode == 42 assert result.stdout == 'stdout' assert result.stderr == 'stderr' class TestEnvironment(object): def test_init_base(self, mocker): mocker.patch.object( environment.os, 'getcwd', return_value='/some/path', ) mock_canonicalize_path = mocker.patch.object( environment.utils, '_canonicalize_path', return_value='/real/path', ) result = environment.Environment() assert result._environ == os.environ assert id(result._environ) != id(os.environ) assert result._cwd == '/real/path' assert result._specials == {} assert result._special_cache == {} mock_canonicalize_path.assert_called_once_with( '/some/path', os.curdir, ) def test_init_alt(self, mocker): mocker.patch.object( environment.os, 'getcwd', return_value='/some/path', ) mock_canonicalize_path = mocker.patch.object( environment.utils, '_canonicalize_path', return_value='/real/path', ) result = environment.Environment({'a': 1, 'b': 2}, '/c/w/d', c=3, d=4) assert result._environ == {'a': 1, 'b': 2} assert id(result._environ) != id(os.environ) assert result._cwd == '/real/path' assert result._specials == {'c': 3, 'd': 4} assert result._special_cache == {} mock_canonicalize_path.assert_called_once_with( '/some/path', '/c/w/d', ) def test_len(self): obj = environment.Environment({'a': 1, 'b': 2}) assert len(obj) == 2 def test_iter(self): obj = environment.Environment({'a': 1, 'b': 2}) result = set(obj) assert result == set(['a', 'b']) def test_getitem_missing_key(self, mocker): mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}) with pytest.raises(KeyError): obj['c'] mock_get_special.assert_not_called() def test_getitem_with_key(self, mocker): mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}) assert obj['a'] == 1 mock_get_special.assert_not_called() def test_getitem_with_special(self, mocker): mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}, a='spam') assert obj['a'] == 'special' mock_get_special.assert_called_once_with('a') def test_setitem_base(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}) obj['a'] = 5 assert obj._environ == {'a': 5, 'b': 2} mock_get_special.assert_not_called() special.set.assert_not_called() def test_setitem_with_special(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}, a='special') obj['a'] = 5 assert obj._environ == {'a': 1, 'b': 2} mock_get_special.assert_called_once_with('a') special.set.assert_called_once_with(5) def test_delitem_base(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}) del obj['a'] assert obj._environ == {'b': 2} mock_get_special.assert_not_called() special.delete.assert_not_called() def test_delitem_missing_key(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}) with pytest.raises(KeyError): del obj['c'] assert obj._environ == {'a': 1, 'b': 2} mock_get_special.assert_not_called() special.delete.assert_not_called() def test_delitem_with_special(self, mocker): special = mocker.Mock() mock_get_special = mocker.patch.object( environment.Environment, '_get_special', return_value=special, ) obj = environment.Environment({'a': 1, 'b': 2}, a='special') del obj['a'] assert obj._environ == {'a': 1, 'b': 2} mock_get_special.assert_called_once_with('a') special.delete.assert_called_once_with() def test_call_base(self, mocker): process = mocker.Mock(**{ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj(['cmd', 'a1', 'a2'], a=1, b=2) assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 0 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_args_str(self, mocker): process = mocker.Mock(**{ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj('cmd a1 a2', a=1, b=2) assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 0 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_with_input(self, mocker): process = mocker.Mock(**{ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj(['cmd', 'a1', 'a2'], a=1, b=2, input='text') assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 0 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2, 'stdin': environment.PIPE}, ) process.assert_has_calls([ mocker.call.communicate('text'), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_both_input_and_stdin(self, mocker): process = mocker.Mock(**{ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() with pytest.raises(ValueError): obj(['cmd', 'a1', 'a2'], a=1, b=2, input='text', stdin='pipe') mock_system.assert_not_called() assert len(process.method_calls) == 0 def test_call_communicate_fail(self, mocker): process = mocker.Mock(**{ 'communicate.side_effect': ExceptionForTest('test'), 'poll.return_value': 0, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() with pytest.raises(ExceptionForTest): obj(['cmd', 'a1', 'a2'], a=1, b=2) mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.kill(), mocker.call.wait(), ]) assert len(process.method_calls) == 3 def test_call_nonzero_returncode(self, mocker): process = mocker.Mock(**{ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 5, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() result = obj(['cmd', 'a1', 'a2'], a=1, b=2) assert isinstance(result, environment.CompletedProcess) assert result.args == ['cmd', 'a1', 'a2'] assert result.returncode == 5 assert result.stdout == 'stdout' assert result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_call_nonzero_returncode_check(self, mocker): process = mocker.Mock(**{ 'communicate.return_value': ('stdout', 'stderr'), 'poll.return_value': 5, }) mock_system = mocker.patch.object( environment.Environment, '_system', return_value=process, ) obj = environment.Environment() with pytest.raises(exceptions.ProcessError) as exc_info: obj(['cmd', 'a1', 'a2'], a=1, b=2, check=True) assert isinstance(exc_info.value.result, environment.CompletedProcess) assert exc_info.value.result.args == ['cmd', 'a1', 'a2'] assert exc_info.value.result.returncode == 5 assert exc_info.value.result.stdout == 'stdout' assert exc_info.value.result.stderr == 'stderr' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) process.assert_has_calls([ mocker.call.communicate(None), mocker.call.poll(), ]) assert len(process.method_calls) == 2 def test_get_special_cached(self, mocker): special_factory = mocker.Mock( return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}, a=special_factory) obj._special_cache['a'] = 'cached' result = obj._get_special('a') assert result == 'cached' assert obj._special_cache == {'a': 'cached'} special_factory.assert_not_called() def test_get_special_uncached(self, mocker): special_factory = mocker.Mock( return_value='special', ) obj = environment.Environment({'a': 1, 'b': 2}, a=special_factory) result = obj._get_special('a') assert result == 'special' assert obj._special_cache == {'a': 'special'} special_factory.assert_called_once_with(obj, 'a') def test_set(self): obj = environment.Environment({'a': 1, 'b': 2}) obj._set('a', 5) assert obj._environ == {'a': 5, 'b': 2} def test_delete_exists(self): obj = environment.Environment({'a': 1, 'b': 2}) obj._delete('a') assert obj._environ == {'b': 2} def test_delete_missing(self): obj = environment.Environment({'a': 1, 'b': 2}) obj._delete('c') assert obj._environ == {'a': 1, 'b': 2} def test_system_base(self, mocker): mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/path', ) mock_Popen = mocker.patch.object( environment.subprocess, 'Popen', return_value='result', ) obj = environment.Environment({'a': 1, 'b': 2}) result = obj._system('args', {'c': 3, 'd': 4}) assert result == 'result' mock_filename.assert_not_called() mock_Popen.assert_called_once_with( 'args', c=3, d=4, cwd=obj._cwd, env={'a': 1, 'b': 2}, close_fds=True, ) def test_system_alt(self, mocker): mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/path', ) mock_Popen = mocker.patch.object( environment.subprocess, 'Popen', return_value='result', ) obj = environment.Environment({'a': 1, 'b': 2}) result = obj._system('args', { 'c': 3, 'd': 4, 'cwd': '/other/path', 'env': {'a': 2, 'b': 1}, 'close_fds': False }) assert result == 'result' mock_filename.assert_called_once_with('/other/path') mock_Popen.assert_called_once_with( 'args', c=3, d=4, cwd='/some/path', env={'a': 2, 'b': 1}, close_fds=False, ) def test_setdefault_missing(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}) result = obj.setdefault('c', 3) assert result == 3 assert obj._environ == {'a': 1, 'b': 2, 'c': 3} def test_setdefault_present(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}) result = obj.setdefault('a', 3) assert result == 1 assert obj._environ == {'a': 1, 'b': 2} def test_copy(self): obj = environment.Environment({'a': 1, 'b': 2}, '/c/w/d', c=3, d=4) result = obj.copy() assert id(result) != id(obj) assert result._environ == obj._environ assert id(result._environ) != id(obj._environ) assert result._cwd == '/c/w/d' assert result._specials == {'c': 3, 'd': 4} assert result._special_cache == {} def test_register_base(self): obj = environment.Environment({'a': 1, 'b': 2}, c=3, d=4) obj._special_cache['c'] = 'cached' result = obj.register('c', 3) assert result == 3 assert obj._specials == {'c': 3, 'd': 4} assert obj._special_cache == {'c': 'cached'} def test_register_change(self): obj = environment.Environment({'a': 1, 'b': 2}, c=3, d=4) obj._special_cache['c'] = 'cached' result = obj.register('c', 5) assert result == 3 assert obj._specials == {'c': 5, 'd': 4} assert obj._special_cache == {} def test_register_unregister(self): obj = environment.Environment({'a': 1, 'b': 2}, c=3, d=4) obj._special_cache['c'] = 'cached' result = obj.register('c') assert result == 3 assert obj._specials == {'d': 4} assert obj._special_cache == {} def test_get_raw_missing_key_no_default(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}, c='special') with pytest.raises(KeyError): obj.get_raw('c') def test_get_raw_missing_key_with_default(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}, c='special') result = obj.get_raw('c', 'default') assert result == 'default' def test_get_raw_with_key(self, mocker): obj = environment.Environment({'a': 1, 'b': 2}, a='special') result = obj.get_raw('a', 'default') assert result == 1 def test_filename(self, mocker): obj = environment.Environment() # Note: must be set up after initializing the environment mock_canonicalize_path = mocker.patch.object( environment.utils, '_canonicalize_path', return_value='/canon/path', ) result = obj.filename('file.name') assert result == '/canon/path' mock_canonicalize_path.assert_called_once_with(obj._cwd, 'file.name') def test_open_base(self, mocker): mock_open = mocker.patch.object( builtins, 'open', return_value='handle', ) mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/file', ) obj = environment.Environment() result = obj.open('file.name') assert result == 'handle' mock_filename.assert_called_once_with('file.name') mock_open.assert_called_once_with('/some/file', 'r', -1) def test_open_alt(self, mocker): mock_open = mocker.patch.object( builtins, 'open', return_value='handle', ) mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/some/file', ) obj = environment.Environment() result = obj.open('file.name', 'w', 1) assert result == 'handle' mock_filename.assert_called_once_with('file.name') mock_open.assert_called_once_with('/some/file', 'w', 1) def test_popen_base(self, mocker): mock_system = mocker.patch.object( environment.Environment, '_system', return_value='result', ) obj = environment.Environment() result = obj.popen(['cmd', 'a1', 'a2'], a=1, b=2) assert result == 'result' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) def test_popen_arg_str(self, mocker): mock_system = mocker.patch.object( environment.Environment, '_system', return_value='result', ) obj = environment.Environment() result = obj.popen('cmd a1 a2', a=1, b=2) assert result == 'result' mock_system.assert_called_once_with( ['cmd', 'a1', 'a2'], {'a': 1, 'b': 2}, ) def test_cwd_get(self): obj = environment.Environment() assert obj.cwd == obj._cwd def test_cwd_set(self, mocker): mock_filename = mocker.patch.object( environment.Environment, 'filename', return_value='/new/cwd', ) obj = environment.Environment() obj.cwd = '/some/path' assert obj._cwd == '/new/cwd' mock_filename.assert_called_once_with('/some/path')

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src/fund/analyzer/tf/softmax.py

krizex/fund

3

161054

<reponame>krizex/fund #!/usr/bin/env python # -*- coding: utf-8 -*- import os import tensorflow as tf from fund.log.logger import log __author__ = '<NAME>' """ Created on 07/03/2017 @author: <NAME> """ # http://www.shareditor.com/blogshow/?blogId=94 class SoftmaxTrainer(object): def __init__(self, feature_count, label_count, learning_rate, iterate_count): self.x = tf.placeholder(tf.float32, [None, feature_count]) self.W = tf.Variable(tf.zeros([feature_count, label_count]), name='W') self.b = tf.Variable(tf.zeros([label_count]), name='b') self.y = tf.nn.softmax(tf.matmul(self.x, self.W) + self.b) self.y_ = tf.placeholder(tf.float32, [None, label_count]) # We should use `tf.reduce_mean` so learning rate could be independent with batch size self.cross_entropy = -tf.reduce_mean(self.y_ * tf.log(tf.clip_by_value(self.y, 1e-10, 1.0))) self.train_step = tf.train.GradientDescentOptimizer(learning_rate).minimize(self.cross_entropy) self.iterate_count = iterate_count self.session = tf.InteractiveSession() def train(self, training_pairs, verify_pairs): self.session.run(tf.global_variables_initializer()) xs = [p[0] for p in training_pairs] ys = [p[1] for p in training_pairs] recognize_accuracy = 0.0 for i in range(self.iterate_count): self.session.run(self.train_step, feed_dict={self.x: xs, self.y_: ys}) # cost = self.session.run(self.cross_entropy, feed_dict={self.x: xs, self.y_: ys}) # print 'Cost: %f' % cost correct_prediction = tf.equal(tf.argmax(self.y, 1), tf.argmax(self.y_, 1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, "float")) recognize_accuracy = accuracy.eval(feed_dict={ self.x: [p[0] for p in verify_pairs], self.y_: [p[1] for p in verify_pairs], }) log.debug('(%d)Recognize accuracy is %f' % (i, recognize_accuracy)) log.debug('Recognize accuracy is %f' % recognize_accuracy) return recognize_accuracy def save(self, filename): saver = tf.train.Saver() saver.save(self.session, filename) print self.b.eval() print self.W.eval() def restore(self, filename): ckpt = tf.train.get_checkpoint_state(os.path.dirname(filename)) saver = tf.train.Saver() saver.restore(self.session, ckpt.model_checkpoint_path) print self.b.eval() print self.W.eval() def recognize(self, feature): if not isinstance(feature[0], (list, tuple)): feature = [feature] return self.session.run(tf.argmax(self.y, 1), {self.x: feature}) # def init_recognizer(recognizer): # log.info('Init recognizer...') # from scv.datamanager.dataset import DataSet # dataset = DataSet() # training_set = dataset.get_training_set() # verify_set = dataset.get_verify_set() # recognizer.train(training_set, verify_set) if __name__ == '__main__': filename = data_file()

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backend/model/views.py

princesinghtomar/BTP

0

31056

<filename>backend/model/views.py from django.shortcuts import render from django.views.decorators.csrf import csrf_exempt from rest_framework.parsers import JSONParser from django.http.response import JsonResponse import base64 from numpy import random # Create your views here. @csrf_exempt def algo(req): if req.method == "POST": data = JSONParser().parse(req) audioData = base64.b64decode(data["audioData"][22:].encode('ascii')) prob = random.uniform(0, 1) if prob > 0.5: return JsonResponse({"output": "Nice!!", "feedback": "This is pos feedback"}) else: return JsonResponse({"output": "Oh No!!", "feedback": "This is neg feedback"})

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sem1/lab3_3/lsm.py

NetherQuartz/NumericalMethodsLabs

1

49482

"""ЛР 3.3, <NAME>, М8О-303Б-18""" import numpy as np import fire # CLI import matplotlib.pyplot as plt from sem1.lab1_1.gauss import lu_decomposition, lu_solve def f(coeffs, x): """Вычисление значения полинома с коэффициентами coeffs""" return sum([x ** i * c for i, c in enumerate(coeffs)]) def sum_squared_errors(f, y): """Сумма квадратов ошибок""" return sum((f_i - y_i) ** 2 for f_i, y_i in zip(f, y)) def lsm(x, y, n): """Подбор коэффициентов полинома степени n с помощью МНК""" N = len(x) mat = [[sum([x_j ** (i + j) for x_j in x]) for i in range(n + 1)] for j in range(n + 1)] mat[0][0] = N + 1 b = [sum([x_j ** i * y_j for x_j, y_j in zip(x, y)]) for i in range(n + 1)] mat = np.array(mat) b = np.array(b) p, l, u = lu_decomposition(mat) b = b @ p coeffs = lu_solve(l, u, b) return coeffs def main(): """Аппроксимация таблично заданной функции многочленами 1-й и 2-й степеней с помощью МНК""" init_dict = { "x": [-3.0, -2.0, -1.0, 0.0, 1.0, 2.0], "y": [0.04979, 0.13534, 0.36788, 1.0, 2.7183, 7.3891] } x, y = init_dict["x"], init_dict["y"] xc = np.arange(min(x) - 1, max(x) + 1, .01) c1 = lsm(x, y, 1) y1 = f(c1, xc) c2 = lsm(x, y, 2) y2 = f(c2, xc) plt.plot(x, y, "o", label="Входные данные") plt.plot(xc, y1, label="Полином первой степени") plt.plot(xc, y2, label="Полином второй степени") plt.title("Аппроксимация МНК") plt.grid(True) plt.legend() plt.savefig("plot.jpg", dpi=300) plt.show() e1 = sum_squared_errors(lsm(x, y, 1), y) e2 = sum_squared_errors(lsm(x, y, 2), y) print("Сумма квадратов ошибок:") print("\tn = 1:", e1) print("\tn = 2:", e2) print("\nАппроксимирующие функции:") xs = ["", "x", "x^2"] for c, n in zip([c1, c2], [1, 2]): print(f"\tn = {n}:", " + ".join([f"{v:.6f}{x}" for v, x in zip(c, xs)])) if __name__ == "__main__": fire.Fire(main)

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src/collectors/interrupt/interrupt.py

fasrc/Diamond

0

173390

<gh_stars>0 # coding=utf-8 """ The InterruptCollector class collects metrics on interrupts from /proc/interrupts #### Dependencies * /proc/interrupts """ import platform import os import diamond.collector from diamond.pycompat import long # Detect the architecture of the system # and set the counters for MAX_VALUES # appropriately. Otherwise, rolling over # counters will cause incorrect or # negative values. if platform.architecture()[0] == '64bit': counter = (2 ** 64) - 1 else: counter = (2 ** 32) - 1 class InterruptCollector(diamond.collector.Collector): PROC = '/proc/interrupts' def get_default_config_help(self): config_help = super(InterruptCollector, self).get_default_config_help() config_help.update({ }) return config_help def get_default_config(self): """ Returns the default collector settings """ config = super(InterruptCollector, self).get_default_config() config.update({ 'path': 'interrupts' }) return config def collect(self): """ Collect interrupt data """ if not os.access(self.PROC, os.R_OK): return False # Open PROC file file = open(self.PROC, 'r') # Get data cpuCount = None for line in file: if not cpuCount: cpuCount = len(line.split()) else: data = line.strip().split(None, cpuCount + 2) data[0] = data[0].replace(':', '') if len(data) == 2: metric_name = data[0] metric_value = data[1] self.publish(metric_name, self.derivative(metric_name, long(metric_value), counter)) else: if len(data[0]) == cpuCount + 1: metric_name = data[0] + '.' elif len(data[0]) == 3: metric_name = ( ((data[-2] + ' ' + data[-1]).replace(' ', '_')) + '.') else: metric_name = ( ((data[-2]).replace(' ', '_')) + '.' + ((data[-1]).replace(', ', '-').replace(' ', '_')) + '.' + data[0] + '.') total = 0 for index, value in enumerate(data): if index == 0 or index >= cpuCount + 1: continue metric_name_node = metric_name + 'CPU' + str(index - 1) value = int(self.derivative(metric_name_node, long(value), counter)) total += value self.publish(metric_name_node, value) # Roll up value metric_name_node = metric_name + 'total' self.publish(metric_name_node, total) # Close file file.close()

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29889, 5358, 580, 13, 2 ]

pytype/pyi/parse_pyi.py

CyberFlameGO/pytype

0

21237

# python3 """Testing code to run the typed_ast based pyi parser.""" import sys from pytype import module_utils from pytype.pyi import parser from pytype.pyi.types import ParseError # pylint: disable=g-importing-member from pytype.pytd import pytd_utils if __name__ == '__main__': filename = sys.argv[1] with open(filename, 'r') as f: src = f.read() module_name = module_utils.path_to_module_name(filename) version = (3, 6) try: out, _ = parser.parse_pyi_debug( src, filename, module_name, version, None) except ParseError as e: print(e) sys.exit(1) print('------pytd--------------') print(out) print('------round trip--------------') print(pytd_utils.Print(out))

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conans/test/functional/conanfile/deploy_import_file_permission_test.py

laundry-96/conan

2

92742

<filename>conans/test/functional/conanfile/deploy_import_file_permission_test.py<gh_stars>1-10 import os import stat import unittest from conans.test.utils.tools import TestClient class DeployImportFilePermissionTest(unittest.TestCase): def setUp(self): self.file_name = 'myheader.h' def _client(self, ro_file, ro_cache): client = TestClient() if ro_cache: client.run("config set general.read_only_cache=True") with client.chdir('recipe'): conanfile = """from conans import ConanFile class MyPkg(ConanFile): exports_sources = "*.h" def package(self): self.copy("*.h") def deploy(self): self.copy("*.h") """ client.save({"conanfile.py": conanfile, self.file_name: "my header"}) os.chmod(os.path.join(client.current_folder, self.file_name), 0o444 if ro_file else 0o644) client.run("create . Pkg/0.1@lasote/channel") return client def _import(self, client): conanfile = """[requires] Pkg/0.1@lasote/channel [imports] ., *.h -> . """ client.save({'conanfile.txt': conanfile}) with client.chdir('import'): client.run('install ..') def _deploy(self, client): with client.chdir('deploy'): client.run('install Pkg/0.1@lasote/channel') def _is_file_writable(self, client, folder): return bool(os.stat(os.path.join(client.current_folder, folder, self.file_name)).st_mode & stat.S_IWRITE) def import_rw_file_rw_cache_test(self): client = self._client(ro_file=False, ro_cache=False) self._import(client) self.assertTrue(self._is_file_writable(client, 'import')) def import_ro_file_rw_cache_test(self): client = self._client(ro_file=True, ro_cache=False) self._import(client) self.assertFalse(self._is_file_writable(client, 'import')) def import_rw_file_ro_cache_test(self): client = self._client(ro_file=False, ro_cache=True) self._import(client) self.assertTrue(self._is_file_writable(client, 'import')) def import_ro_file_ro_cache_test(self): client = self._client(ro_file=True, ro_cache=True) self._import(client) self.assertTrue(self._is_file_writable(client, 'import')) def deploy_rw_file_rw_cache_test(self): client = self._client(ro_file=False, ro_cache=False) self._deploy(client) self.assertTrue(self._is_file_writable(client, 'deploy')) def deploy_ro_file_rw_cache_test(self): client = self._client(ro_file=True, ro_cache=False) self._deploy(client) self.assertFalse(self._is_file_writable(client, 'deploy')) def deploy_rw_file_ro_cache_test(self): client = self._client(ro_file=False, ro_cache=True) self._deploy(client) self.assertTrue(self._is_file_writable(client, 'deploy')) def deploy_ro_file_ro_cache_test(self): client = self._client(ro_file=True, ro_cache=True) self._deploy(client) self.assertTrue(self._is_file_writable(client, 'deploy'))

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cartoonify.py

adl1995/image-processing-filters

0

10700

<filename>cartoonify.py #!/usr/bin/env python __author__ = "<NAME>" __email__ = "<EMAIL>" __status__ = "Production" import matplotlib.pyplot as plt import numpy as np import skimage as ski import Image def cartoonify(im, display=False): """ function receives an image and add its gradient magnitude in it and add it to the original image to return a semi-cartoon image. Note: You will have to scale the gradient-magnitue image before adding it back to the input image. Input: im: input image to cartoonify display: whether to display image or not... NOTE: This function expects a gaussian filtered image """ kernel, kern_size = np.array([[-1,-1,-1] ,[0,0,0] ,[1,1,1]]), 3 gx, gy = np.zeros_like(im, dtype=float), np.zeros_like(im, dtype=float) for i in range(im.shape[0] - (kern_size-1)): for j in range(im.shape[1] - (kern_size-1)): window = im[i:i + kern_size, j:j + kern_size] gx[i,j], gy[i,j] = np.sum(window * kernel.T), np.sum(window * kernel) magnitude = np.sqrt(gx**2 + gy**2) magnitude = magnitude.astype(np.int64, copy=False) cartoon = im + (im + magnitude) if display == 1: plt.imshow(cartoon, cmap='gray') plt.suptitle('Cartoon') plt.show() return cartoon

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chip8_pygame_integration/config_test.py

Artoooooor/chip8

0

21468

import unittest import pygame from chip8_pygame_integration.config import get_config, KeyBind, to_text DEFAULT = [KeyBind(pygame.K_o, pygame.KMOD_CTRL, 'some_command')] class ConfigLoadTest(unittest.TestCase): def setUp(self): self.default = None def test_empty_pattern_returns_empty_array(self): self.assertEqual([], get_config((), [])) def test_single_command_pattern_parses_single_key(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['A']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1')]) def test_two_command_pattern_parses_2_keys(self): self.when_pattern_is((('comm1', 'comm2',),)) self.when_lines_are(['A D']) self.expect_config([ KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1'), KeyBind(pygame.K_d, pygame.KMOD_NONE, 'comm2')]) def test_2_lines_pattern_parses_2_lines(self): self.when_pattern_is((('comm1',), ('comm2',))) self.when_lines_are(['A', 'D']) self.expect_config([ KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1'), KeyBind(pygame.K_d, pygame.KMOD_NONE, 'comm2')]) def test_too_little_elements_in_line_return_default(self): self.when_pattern_is((('comm1', 'comm2'),)) self.when_lines_are(['A']) self.when_default_is(DEFAULT) self.expect_config(DEFAULT) def test_ctrl_is_parsed_as_KMOD_CTRL(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['ctrl+A']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_CTRL, 'comm1')]) def test_two_modifiers_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['ctrl+lshift+A']) kmods = pygame.KMOD_CTRL | pygame.KMOD_LSHIFT self.expect_config([KeyBind(pygame.K_a, kmods, 'comm1')]) def test_lowercase_keys_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['a']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1')]) def test_lowercase_special_keys_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['space']) self.expect_config( [KeyBind(pygame.K_SPACE, pygame.KMOD_NONE, 'comm1')]) def test_uppercase_modifiers_are_parsed(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['LCTRL+A']) self.expect_config([KeyBind(pygame.K_a, pygame.KMOD_LCTRL, 'comm1')]) def test_invalid_key_results_in_default(self): self.when_pattern_is((('comm1',),)) self.when_lines_are(['F42']) self.when_default_is(DEFAULT) self.expect_config(DEFAULT) def when_pattern_is(self, pattern): self.pattern = pattern def when_lines_are(self, lines): self.lines = lines def when_default_is(self, default): self.default = default def expect_config(self, config): result = get_config(self.pattern, self.lines, self.default) self.assertEqual(config, result) class ConfigSaveTest(unittest.TestCase): def test_empty_pattern_generates_empty_file(self): self.assertEqual([], to_text((), [])) def test_one_command_generates_1_line(self): self.when_pattern_is((('comm1',),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1')]) self.expect_generated_text(['a']) def test_two_commands_generate_line_with_2_elements(self): self.when_pattern_is((('comm1', 'comm2'),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm1'), KeyBind(pygame.K_b, pygame.KMOD_NONE, 'comm2')]) self.expect_generated_text(['a b']) def test_commands_are_generated_in_order_of_pattern(self): self.when_pattern_is((('comm1', 'comm2'),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm2'), KeyBind(pygame.K_b, pygame.KMOD_NONE, 'comm1')]) self.expect_generated_text(['b a']) def test_two_lines_generate_2_lines_(self): self.when_pattern_is((('comm1',), ('comm2',),)) self.when_config_is([KeyBind(pygame.K_a, pygame.KMOD_NONE, 'comm2'), KeyBind(pygame.K_b, pygame.KMOD_NONE, 'comm1')]) self.expect_generated_text(['b', 'a']) def test_KMOD_CTRL_generates_output(self): self.expect_3_mod_versions_handled('ctrl') def test_KMOD_SHIFT_generates_output(self): self.expect_3_mod_versions_handled('shift') def test_KMOD_ALT_generates_output(self): self.expect_3_mod_versions_handled('alt') def test_KMOD_META_generates_output(self): self.expect_3_mod_versions_handled('meta') def test_KMOD_CAPS_generates_output(self): self.expect_mod_handled('caps') def test_KMOD_NUM_generates_output(self): self.expect_mod_handled('num') def test_KMOD_MODE_generates_output(self): self.expect_mod_handled('mode') def expect_3_mod_versions_handled(self, baseModName): self.expect_mod_handled(baseModName) self.expect_mod_handled('l' + baseModName) self.expect_mod_handled('r' + baseModName) def expect_mod_handled(self, modName): self.when_pattern_is((('comm1',),)) fieldName = 'KMOD_' + modName.upper() mod = getattr(pygame, fieldName) self.when_config_is([KeyBind(pygame.K_a, mod, 'comm1')]) expected = '{}+a'.format(modName) self.expect_generated_text([expected]) def when_pattern_is(self, pattern): self.pattern = pattern def when_config_is(self, config): self.config = config def expect_generated_text(self, text): text = self.add_newlines(text) self.assertEqual(text, to_text(self.pattern, self.config)) def add_newlines(self, lines): return [l + '\n' for l in lines] if __name__ == '__main__': unittest.main()

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app_djangoparser/views.py

mynameismaz/DjangoParser

0

156006

<gh_stars>0 from django.shortcuts import render from django.http import HttpResponse, HttpResponseRedirect import re import string import operator def index_page(request): if request.method == 'POST': f = request.FILES['sentFile'] with open(f.name, 'w'): file_content = f.read().decode('latin-1') file_content = "<pre class='content-file'>" + file_content + "</pre><br><br>" # Character count alphabet_count = { i: file_content.count(i) for i in list(string.ascii_lowercase) } sorted_alphabet_count = sorted(alphabet_count.items(), key=operator.itemgetter(1)) character_count = "<b>CHARACTERS</b><br>" for i in sorted_alphabet_count[::-1]: character_count += f"{i[0]}: {i[1]}<br>" new = re.sub('[\w]+' ,'', file_content) character_count += f"<br><b>Special Characters</b>: {len(new)}" return render(request, "index.html", { 'file_name': f.name, 'file_content': file_content, 'character_count': character_count }) else: return render(request, "index.html")

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eyesore/decision_graph/compacting/_0_decision_node_compacter.py

twizmwazin/hacrs

2

125380

<filename>eyesore/decision_graph/compacting/_0_decision_node_compacter.py from .. import SuccessorsNode, SuccessorNode, DecisionNode, DecisionNotTakenNode from ..visitor import Visitor class DecisionNodeCompacter(Visitor): def _visit_successors_node(self, node, results): """ :param node: :type node: SuccessorsNode :return: """ sat_succs = [compact_succ for succ in node.sat_succs for compact_succ in results[succ]] if len(node.taken_constraints) == 0: return sat_succs unsat_succs = [compact_succ for succ in node.unsat_succs for compact_succ in results[succ]] return [DecisionNode(sat_succs, unsat_succs, taken_constraints=node.taken_constraints)] def _visit_successor_node(self, node, replacements): """ :param node: :type node: SuccessorNode :return: """ if node.satisfiable: if node.successor is not None: return replacements[node.successor] else: return [node] else: return [DecisionNotTakenNode([node.fresh_constraints], node.address, reachable_string_refs=node.reachable_string_refs)]

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utils/prepare_bcp.py

smeea/krcg-static

0

45072

"""A convenience function to rename BCP images """ import os import re from krcg.parser import _CLAN def prepare_bcp(path): for (dirpath, _dirnames, filenames) in os.walk(path): for name in filenames: clan_prefix = re.match(r"({})_".format(_CLAN), name.lower()) if clan_prefix: os.rename( os.path.join(dirpath, name), os.path.join(dirpath, name[clan_prefix.end(0) :]), )

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SqueezeNet/SqueezeNet_keras.py

hgrui/DeepLearning_research

0

62028

from __future__ import print_function import os import keras from keras.layers import Dense,Flatten,Conv2D,MaxPooling2D,Activation,Input,Concatenate,Dropout,GlobalAveragePooling2D from keras.models import Model import time from keras.datasets import cifar10 from keras.optimizers import SGD from keras.utils import get_file from keras.preprocessing import image import numpy as np from keras.applications.imagenet_utils import preprocess_input, decode_predictions #SqueezeNet #backend=tf channels_last (rows,cols,channels) def fire_module(input,squeeze_filters,expand_filters): squeeze=Conv2D(squeeze_filters, kernel_size=(1,1), strides=1, padding='same', kernel_initializer='glorot_uniform', data_format='channels_last' )(input) relu_squeeze=Activation('relu')(squeeze) expand1=Conv2D(expand_filters, kernel_size=(1,1), strides=1, padding='same', kernel_initializer='glorot_uniform', data_format='channels_last' )(relu_squeeze) relu_expand1=Activation('relu')(expand1) expand2=Conv2D(expand_filters, kernel_size=(3,3), strides=1, padding='same', kernel_initializer='glorot_uniform', data_format='channels_last' )(relu_squeeze) relu_expand2=Activation('relu')(expand2) merge=Concatenate(axis=3)([relu_expand1,relu_expand2]) output=merge return output def SqueezeNet(input_shape,num_classes,weight=None): input=Input(shape=input_shape) conv_1=Conv2D(96, kernel_size=(7,7), strides=2, padding='same', kernel_initializer='glorot_uniform' )(input) pool_1=MaxPooling2D(pool_size=(3,3), strides=2)(conv_1) fire_2=fire_module(pool_1,16,64) fire_3=fire_module(fire_2,16,64) fire_4=fire_module(fire_3,32,128) pool_4=MaxPooling2D(pool_size=(3,3), strides=2)(fire_4) fire_5=fire_module(pool_4,32,128) fire_6=fire_module(fire_5,48,192) fire_7=fire_module(fire_6,48,192) fire_8=fire_module(fire_7,64,256) pool_8=MaxPooling2D(pool_size=(3,3), strides=2)(fire_8) fire_9=fire_module(pool_8,64,256) drop=Dropout(0.5)(fire_9) conv_10=Conv2D(num_classes, kernel_size=(1,1), strides=1, padding='same', kernel_initializer='glorot_uniform' )(drop) relu_11=Activation('relu')(conv_10) avgpool=GlobalAveragePooling2D()(relu_11) flatten=Flatten()(relu_11) dense=Dense(64)(flatten) relu_dense=Activation('relu')(dense) dense=Dense(2)(relu_dense) softmax1=Activation('softmax')(dense) softmax=Activation('softmax')(avgpool) print(softmax) output=softmax model=Model(input=input,output=output) return model def main(): t0=time.time() batch_size = 32 num_classes = 10 epochs = 20 data_augmentation = True print('start') (x_train, y_train), (x_test, y_test) = cifar10.load_data() print(x_train.shape) x_train_n = np.zeros((x_train.shape[0], 224, 224, 3),dtype = 'float16') x_test_n = np.zeros((x_test.shape[0], 224, 224, 3),dtype = 'float16') for i in range(x_train.shape[0]): if i%5000==0: print(i) data=x_train[i] img=image.array_to_img(data) img2=img.resize((224,224)) data2=image.img_to_array(img2) x_train_n[i,:]=data2 for i in range(x_test.shape[0]): if i%2000==0: print(i) data=x_test[i] img=image.array_to_img(data) img2=img.resize((224,224)) data2=image.img_to_array(img2) x_test_n[i,:]=data2 y_train = keras.utils.to_categorical(y_train, num_classes) y_test = keras.utils.to_categorical(y_test, num_classes) x_train_n /= 255.0 x_test_n /= 255.0 model=SqueezeNet((224,224,3),10) model.summary() print('wow') print(time.time()-t0) sgd=SGD(lr=0.01,decay=0.0002,momentum=0.9) model.compile(optimizer=sgd, loss='categorical_crossentropy', metrics=['accuracy']) model.fit(x_train_n, y_train, batch_size=batch_size, epochs=epochs, validation_data=(x_test_n, y_test), shuffle=True) if __name__=='__main__': main()

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test/test_io_base.py

dan-win/fairways_py

0

160351

import unittest import unittest.mock def setUpModule(): pass def tearDownModule(): pass class MockDriver: MAX_CONN = 5 LAST_ID = 0 @classmethod def reset(cls): cls.LAST_ID = 0 def __init__(self, env_varname): self.__class__.LAST_ID = self.__class__.LAST_ID + 1 self.id = self.__class__.LAST_ID self.env_varname = env_varname def __str__(self): return f'Connection {self.id}' class ConnectionPoolTestCase(unittest.TestCase): @classmethod def setUpClass(cls): from fairways.ci import helpers cls.helpers = helpers from fairways.io.generic import base cls.base = base import re import os, sys cls.re = re cls.os = os root = helpers.getLogger() @classmethod def tearDownClass(cls): MockDriver.reset() def tearDown(self): MockDriver.reset() def test_pool_not_filled(self): """ """ ConnectionPool = self.base.ConnectionPool env_varname = "env_conn_str" # # @decorators.asyncmethod.io_task # async def test(ctx, dba=None): # await dba.CREATE_TABLE.execute() # await dba.INSERT_DATA.execute() # result = await dba.SELECT_DATA.get_records() # return result # with unittest.mock.patch.dict('os.environ', {db_alias: self.db_test_file}, clear=True): # # result = test(ctx) # result = self.helpers.run_asyn(AsyncLoop.run()) trace = [] for i in range(1, MockDriver.MAX_CONN + 2): conn = ConnectionPool.select(MockDriver, env_varname) trace.append(str(conn)) pool = ConnectionPool._pool.get(env_varname) self.assertEqual(len(pool.connections), MockDriver.MAX_CONN) self.assertListEqual(trace, [ 'Connection 1', 'Connection 2', 'Connection 3', 'Connection 4', 'Connection 5', 'Connection 1' ])

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app/main/util/dto.py

tharindukumara/bert-sentiment-analysis

1

162021

<filename>app/main/util/dto.py<gh_stars>1-10 from flask_restplus import Namespace, fields class SentimentDto: api = Namespace('sentiment', description='sentiment prediction') sentiment = api.model('sentiment', { 'sentence': fields.String(required=True, description='sentence to predict'), })

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mtp_api/apps/core/tests/test_scheduled_commands.py

ministryofjustice/mtp-api

5

150520

<filename>mtp_api/apps/core/tests/test_scheduled_commands.py import logging from datetime import timedelta from django.core.exceptions import ValidationError from django.test import TestCase from django.test.utils import captured_stdout from django.utils import timezone from mtp_common.test_utils import silence_logger from core.models import ScheduledCommand from core.management.commands import run_scheduled_commands class ScheduledCommandsTestCase(TestCase): def test_command_validation_fails(self): try: command = ScheduledCommand( name='non_existent_command', arg_string='', cron_entry='* * * * *' ) command.clean_fields() self.fail('No ValidationError raised by invalid command') except ValidationError: pass def test_command_validation(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry='* * * * *' ) command.clean_fields() def test_cron_entry_validation_fails(self): try: command = ScheduledCommand( name='load-test_data', arg_string='', cron_entry='* F F * *' ) command.clean_fields() self.fail('No ValidationError raised by invalid cron entry') except ValidationError: pass def test_newly_created_command_is_scheduled(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry='* * * * *' ) command.save() self.assertTrue(timezone.now() - command.next_execution < timedelta(minutes=1)) def test_due_command_is_scheduled(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry='*/10 * * * *', next_execution=timezone.now() ) command.save() self.assertTrue(command.is_scheduled()) def test_not_due_command_is_not_scheduled(self): command = ScheduledCommand( name='load_test_data', arg_string='', cron_entry='*/10 * * * *', next_execution=timezone.now() + timedelta(minutes=5) ) command.save() self.assertFalse(command.is_scheduled()) def test_command_running(self): command = ScheduledCommand( name='load_test_data', arg_string='--number-of-prisoners 60 --number-of-transactions 70', cron_entry='* * * * *', next_execution=timezone.now() ) command.save() run_commands = run_scheduled_commands.Command() with captured_stdout() as stdout, silence_logger(level=logging.ERROR): run_commands.handle() stdout = stdout.getvalue() self.assertIn('Making test users', stdout) self.assertIn('random credits', stdout) from prison.models import PrisonerLocation self.assertEqual(PrisonerLocation.objects.count(), 60) from transaction.models import Transaction self.assertEqual(Transaction.objects.count(), 70) def test_command_deleted_when_flag_set(self): command = ScheduledCommand( name='load_test_data', arg_string='--number-of-prisoners 60 --number-of-transactions 70', cron_entry='* * * * *', next_execution=timezone.now(), delete_after_next=True ) command.save() run_commands = run_scheduled_commands.Command() with captured_stdout(), silence_logger(level=logging.ERROR): run_commands.handle() self.assertEqual(ScheduledCommand.objects.all().count(), 0)

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tests/test_auth.py

sergeyberezansky/appr

31

146562

import os.path import yaml from appr.auth import ApprAuth def test_fake_home(fake_home): assert os.path.expanduser("~") == fake_home def test_init_create_dir(fake_home): ApprAuth(".appr") assert os.path.exists(os.path.join(str(fake_home), ".appr")) def test_init_token_empty(fake_home): k = ApprAuth() assert os.path.exists(k.tokenfile) is False def test_get_empty_token(fake_home): k = ApprAuth() assert k.token('*') is None assert k.tokens is None def test_delete_empty_token(fake_home): """ Should not fail if there is no token """ k = ApprAuth() assert k.delete_token('*') is None def test_delete_token(fake_home): """ Should not fail if there is no token """ k = ApprAuth() k.add_token('*', "titid") assert k.token('*') == "titid" assert k.delete_token('*') == {'scope': {'namespace': '*', 'repo': '*'}, 'token': 'titid'} assert k.token('*') is None def test_create_token_value(fake_home): """ Should not fail if there is no token """ k = ApprAuth() k.add_token('a', "titic") k.add_token('b', "titib") assert k.token('a') == "titic" assert k.token('a') == "titic" assert k.token('c') is None def test_create_token_file(fake_home): k = ApprAuth() k.add_token('a', "titib") assert os.path.exists(k.tokenfile) is True f = open(k.tokenfile, 'r') r = f.read() assert {'auths': {'a': {'scope': {'namespace': '*', 'repo': '*'}, 'token': 'titib'}}} == yaml.load(r) def test_create_delete_get_token(fake_home): k = ApprAuth() k.add_token('a', "<PASSWORD>") assert k.token('a') == "<PASSWORD>" k.delete_token('a') assert k.token('a') is None def test_get_token_from_file(fake_home): k = ApprAuth() f = open(k.tokenfile, 'w') r = yaml.dump({'auths': {'a': {'scope': {'namespace': '*', 'repo': '*'}, 'token': '<PASSWORD>'}}}) f.write(r) f.close() k = ApprAuth() assert k.token('a') == "titib" def test_retro_compat(fake_home): k = ApprAuth() f = open(k.tokenfile, 'w') r = yaml.dump({'auths': {'a': 'foo', 'b': 'bar'}}) f.write(r) f.close() k = ApprAuth() f = open(k.tokenfile, 'r') new_format = f.read() f.close() expected = {'auths': {'a': {'scope': {'namespace': '*', 'repo': '*'}, 'token': 'foo'}, 'b': {'scope': {'namespace': '*', 'repo': '*'}, 'token': 'bar'}}} assert yaml.load(new_format) == expected assert k.tokens == expected

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tests/openwisp2/sample_users/models.py

codesankalp/openwisp-ipam

81

163494

from django.contrib.auth.models import Group as AbstractGroup from django.core.validators import RegexValidator from django.db import models from openwisp_users.base.models import ( AbstractUser, BaseGroup, BaseOrganization, BaseOrganizationOwner, BaseOrganizationUser, ) from organizations.abstract import ( AbstractOrganization, AbstractOrganizationOwner, AbstractOrganizationUser, ) class User(AbstractUser): social_security_number = models.CharField( max_length=11, null=True, blank=True, validators=[RegexValidator(r'^\d\d\d-\d\d-\d\d\d\d$')], ) class Meta(AbstractUser.Meta): abstract = False class Organization(BaseOrganization, AbstractOrganization): pass class OrganizationUser(BaseOrganizationUser, AbstractOrganizationUser): pass class OrganizationOwner(BaseOrganizationOwner, AbstractOrganizationOwner): pass class Group(BaseGroup, AbstractGroup): pass

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