xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

7e531ed52b747cc6b76b2ae7e55a9d8857f606fc

35

py

Python

sepadd/__init__.py

CaptainConsternant/python-sepaxml

da33e3b8ccf02657f6bb351c4515f820d60eb847

[ "MIT" ]

53

2018-07-24T17:01:47.000Z

2022-03-25T10:59:04.000Z

sepadd/__init__.py

CaptainConsternant/python-sepaxml

da33e3b8ccf02657f6bb351c4515f820d60eb847

[ "MIT" ]

30

2018-08-27T10:11:07.000Z

2022-03-16T21:40:43.000Z

sepadd/__init__.py

CaptainConsternant/python-sepaxml

da33e3b8ccf02657f6bb351c4515f820d60eb847

[ "MIT" ]

29

2018-09-04T09:50:32.000Z

2022-02-16T14:32:11.000Z

from sepaxml import SepaDD # noqa

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py

Python

scripts/models.py

BeckResearchLab/USP-inhibition

9ade0cf5f19e92a5e4d9579cd2b3012590c1a365

[ "BSD-3-Clause" ]

1

2017-02-20T20:13:13.000Z

scripts/models.py

BeckResearchLab/USP-inhibition

9ade0cf5f19e92a5e4d9579cd2b3012590c1a365

[ "BSD-3-Clause" ]

1

2017-04-20T16:41:16.000Z

2017-04-20T16:57:39.000Z

scripts/models.py

BeckResearchLab/USP-inhibition

9ade0cf5f19e92a5e4d9579cd2b3012590c1a365

[ "BSD-3-Clause" ]

4

2017-04-04T16:38:24.000Z

2019-07-02T11:27:46.000Z

#!/usr/bin/env python """ Construct a neural network model, support vector and decision trees regression models from the data """ import pickle import lasagne import numpy as np import sklearn from lasagne.layers import DenseLayer from lasagne.layers import InputLayer from nolearn.lasagne import NeuralNet from scipy.stats import randint as sp_randint from sklearn.ensemble import RandomForestRegressor from sklearn.linear_model import LinearRegression from sklearn.linear_model import Ridge, BayesianRidge, Lasso from sklearn.model_selection import cross_val_score from sklearn.model_selection import RandomizedSearchCV from sklearn.svm import LinearSVR from sklearn.tree import DecisionTreeRegressor __author__ = "Pearl Philip" __credits__ = "David Beck" __license__ = "BSD 3-Clause License" __maintainer__ = "Pearl Philip" __email__ = "pphilip@uw.edu" __status__ = "Development" def run_models(x_train, y_train, x_test, y_test, n_features): """ Driving all machine learning models as parallel processes. :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ model_choice = int(input("Type your choice of model to be run:" + "\n" + "1 for Linear Regression" + "\n" + "2 for Neural Network" + "\n" + "3 for Support Vector Machine" + "\n" + "4 for Decision Tree" + "\n" + "5 for Ridge Regression" + "\n" + "6 for Bayesian Ridge Regression" + "\n" + "7 for Lasso:" + "\n" + "8 for Random Forest Regressor:" + "\n" )) if model_choice == 1: build_linear(x_train, y_train, x_test, y_test, n_features) elif model_choice == 2: build_nn(x_train, y_train, x_test, y_test, n_features) elif model_choice == 3: build_svm(x_train, y_train, x_test, y_test, n_features) elif model_choice == 4: build_tree(x_train, y_train, x_test, y_test, n_features) elif model_choice == 5: build_ridge(x_train, y_train, x_test, y_test, n_features) elif model_choice == 6: build_bayesian_rr(x_train, y_train, x_test, y_test, n_features) elif model_choice == 7: build_lasso(x_train, y_train, x_test, y_test, n_features) elif model_choice == 8: build_forest(x_train, y_train, x_test, y_test, n_features) else: print("Please choose from list of available models only") return def build_linear(x_train, y_train, x_test, y_test, n_features): """ Constructing a decision trees regression model from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ clf = LinearRegression(n_jobs=-1) clf.fit(x_train, y_train) y_pred = clf.predict(x_test) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) with open('../trained_networks/lr_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) return def build_nn(x_train, y_train, x_test, y_test, n_features): """ Constructing a regression neural network model from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ net = NeuralNet(layers=[('input', InputLayer), ('hidden0', DenseLayer), ('hidden1', DenseLayer), ('output', DenseLayer)], input_shape=(None, x_train.shape[1]), # Number of i/p nodes = number of columns in x hidden0_num_units=15, hidden0_nonlinearity=lasagne.nonlinearities.softmax, hidden1_num_units=17, hidden1_nonlinearity=lasagne.nonlinearities.softmax, output_num_units=1, # Number of o/p nodes = number of columns in y output_nonlinearity=lasagne.nonlinearities.softmax, max_epochs=100, update_learning_rate=0.01, regression=True, verbose=0) # Finding the optimal set of params for each variable in the training of the neural network param_dist = {'hidden0_num_units':sp_randint(3, 30), 'hidden1_num_units':sp_randint(3, 30)} clf = RandomizedSearchCV(estimator=net, param_distributions=param_dist, n_iter=15, n_jobs=-1) clf.fit(x_train, y_train) y_pred = clf.predict(x_test) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) with open('../trained_networks/nn_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(net, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) return def build_svm(x_train, y_train, x_test, y_test, n_features): """ Constructing a support vector regression model from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ clf = LinearSVR(random_state=1, dual=False, epsilon=0, loss='squared_epsilon_insensitive') # Random state has int value for non-random sampling clf.fit(x_train, y_train) y_pred = clf.predict(x_test) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) with open('../trained_networks/svm_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) return def build_tree(x_train, y_train, x_test, y_test, n_features): """ Constructing a decision trees regression model from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ model = DecisionTreeRegressor() param_dist = {'max_depth': sp_randint(1, 15), 'min_samples_split': sp_randint(2, 15)} clf = RandomizedSearchCV(estimator=model, param_distributions=param_dist, n_iter=15, n_jobs=-1) clf.fit(x_train, y_train) y_pred = clf.predict(x_test) print(clf.best_params_, clf.best_score_) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) with open('../trained_networks/dt_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) return def build_ridge(x_train, y_train, x_test, y_test, n_features): """ Constructing a ridge regression model from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ clf = Ridge() clf.fit(x_train, y_train) y_pred = clf.predict(x_test) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) # Optimal ridge regression alpha value from CV ridge_alpha = clf.alpha_ with open('../trained_networks/rr_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) return def build_bayesian_rr(x_train, y_train, x_test, y_test, n_features): """ Constructing a Bayesian ridge regression model from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ clf = BayesianRidge() clf.fit(x_train, y_train) y_pred = clf.predict(x_test) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) # Optimal ridge regression alpha value from CV ridge_alpha = clf.alpha_ with open('../trained_networks/brr_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) return def build_lasso(x_train, y_train, x_test, y_test, n_features): """ Constructing a Lasso linear model with cross validation from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ model = Lasso(random_state=1) # Random state has int value for non-random sampling param_dist = {'alpha': np.arange( 0.0001, 1, 0.001 ).tolist()} clf = RandomizedSearchCV(estimator=model, param_distributions=param_dist, n_iter=15, n_jobs=-1) clf.fit(x_train, y_train) y_pred = clf.predict(x_test) print(clf.best_params_, clf.best_score_) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) with open('../trained_networks/lasso_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) return def build_forest(x_train, y_train, x_test, y_test, n_features): """ Constructing a random forest regression model from input dataframe :param x_train: features dataframe for model training :param y_train: target dataframe for model training :param x_test: features dataframe for model testing :param y_test: target dataframe for model testing :return: None """ model = RandomForestRegressor() param_dist = {'max_depth': sp_randint(1, 15), 'min_samples_split': sp_randint(2, 15)} clf = RandomizedSearchCV(estimator=model, param_distributions=param_dist, n_iter=15, n_jobs=-1) clf.fit(x_train, y_train) y_pred = clf.predict(x_test) # Mean absolute error regression loss mean_abs = sklearn.metrics.mean_absolute_error(y_test, y_pred) # Mean squared error regression loss mean_sq = sklearn.metrics.mean_squared_error(y_test, y_pred) # Median absolute error regression loss median_abs = sklearn.metrics.median_absolute_error(y_test, y_pred) # R^2 (coefficient of determination) regression score function r2 = sklearn.metrics.r2_score(y_test, y_pred) # Explained variance regression score function exp_var_score = sklearn.metrics.explained_variance_score(y_test, y_pred) with open('../trained_networks/rfr_%d_data.pkl' % n_features, 'wb') as results: pickle.dump(clf, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(mean_sq, results, pickle.HIGHEST_PROTOCOL) pickle.dump(median_abs, results, pickle.HIGHEST_PROTOCOL) pickle.dump(r2, results, pickle.HIGHEST_PROTOCOL) pickle.dump(exp_var_score, results, pickle.HIGHEST_PROTOCOL) pickle.dump(y_pred, results, pickle.HIGHEST_PROTOCOL) print(r2) return

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Python

veros_bgc/setup/bgc_global_4deg/__init__.py

AkasDutta/veros-bgc

47acef00e53516e2394313282e21d403526f5f8b

[ "MIT" ]

2

2020-06-08T09:20:36.000Z

2022-01-03T07:02:12.000Z

veros_bgc/setup/bgc_global_4deg/__init__.py

AkasDutta/veros-bgc

47acef00e53516e2394313282e21d403526f5f8b

[ "MIT" ]

null

veros_bgc/setup/bgc_global_4deg/__init__.py

AkasDutta/veros-bgc

47acef00e53516e2394313282e21d403526f5f8b

[ "MIT" ]

1

2021-11-23T17:20:11.000Z

from veros_bgc.setup.bgc_global_4deg.bgc_global_four_degree import GlobalFourDegreeBGC

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Python

peacemakr/exception/missing_persister.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

3

2020-01-27T10:07:29.000Z

2021-05-17T16:45:59.000Z

peacemakr/exception/missing_persister.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

7

2020-06-24T03:55:36.000Z

2021-03-30T00:43:51.000Z

peacemakr/exception/missing_persister.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

1

2021-04-27T04:12:30.000Z

from peacemakr.exception.peacemakr import PeacemakrError class MissingPersisterError(PeacemakrError): pass

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py

Python

TestPyqt/util/printHello.py

ppcrong/TestPyqt

b7294f88d99c0864abe7f9d2cb4a006c293a2ad7

[ "Apache-2.0" ]

null

TestPyqt/util/printHello.py

ppcrong/TestPyqt

b7294f88d99c0864abe7f9d2cb4a006c293a2ad7

[ "Apache-2.0" ]

null

TestPyqt/util/printHello.py

ppcrong/TestPyqt

b7294f88d99c0864abe7f9d2cb4a006c293a2ad7

[ "Apache-2.0" ]

null

def runscript(): print('Hello World!')

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py

Python

Lib/test/lazyimports/deferred_resolve_failure/utilities/type_from_ast.py

mananpal1997/cinder

a8804cc6e3a5861463ff959abcd09ad60a0763e5

[ "CNRI-Python-GPL-Compatible" ]

1,886

2021-05-03T23:58:43.000Z

2022-03-31T19:15:58.000Z

Lib/test/lazyimports/deferred_resolve_failure/utilities/type_from_ast.py

mananpal1997/cinder

a8804cc6e3a5861463ff959abcd09ad60a0763e5

[ "CNRI-Python-GPL-Compatible" ]

70

2021-05-04T23:25:35.000Z

2022-03-31T18:42:08.000Z

Lib/test/lazyimports/deferred_resolve_failure/utilities/type_from_ast.py

mananpal1997/cinder

a8804cc6e3a5861463ff959abcd09ad60a0763e5

[ "CNRI-Python-GPL-Compatible" ]

52

2021-05-04T21:26:03.000Z

2022-03-08T18:02:56.000Z

from ..type import GraphQLSchema def type_from_ast(schema: GraphQLSchema): pass

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py

Python

player/__init__.py

TvSeriesFans/CineMonster

036a3223618afd536932d21b0e86d18d0fba3b28

[ "Apache-2.0" ]

15

2017-09-17T17:52:43.000Z

2020-08-31T15:41:12.000Z

player/__init__.py

TvSeriesFans/CineMonster

036a3223618afd536932d21b0e86d18d0fba3b28

[ "Apache-2.0" ]

13

2017-03-14T13:24:14.000Z

2021-08-20T13:52:54.000Z

player/__init__.py

TvSeriesFans/CineMonster

036a3223618afd536932d21b0e86d18d0fba3b28

[ "Apache-2.0" ]

27

2017-07-01T18:33:49.000Z

2021-08-05T09:13:18.000Z

from player.Player import Player

16.5

32

0.848485

5

33

5.6

0.6

0

0.121212

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1

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null

0

1

0

1

0

1

0

6

cb74690f8139b3ebd9e675d4ff5ac36b272ca8f6

1,026

py

Python

unit_tests/core/cookies/test_views.py

code-review-doctor/lite-frontend-1

cb3b885bb389ea33ef003c916bea7b03a36d86bb

[ "MIT" ]

1

2021-08-16T09:19:32.000Z

unit_tests/core/cookies/test_views.py

code-review-doctor/lite-frontend-1

cb3b885bb389ea33ef003c916bea7b03a36d86bb

[ "MIT" ]

1

2021-09-24T10:58:08.000Z

2021-09-24T13:32:30.000Z

export_support/cookies/tests/test_views.py

uktrade/export-support

5f4f445ddb1836737484439f9f81f05d3fc1aaa9

[ "MIT" ]

null

from django.urls import reverse def test_prev_page_allowed_path(client): url = reverse("cookies:cookies-preferences") response = client.get(f"{url}?from=/next-url/") assert response.status_code == 200 assert response.context["prev_page"] == "/next-url/" url = reverse("cookies:cookies-preferences") response = client.get(f"{url}?from=http://testserver/next-url/") assert response.status_code == 200 assert response.context["prev_page"] == "http://testserver/next-url/" def test_prev_page_different_host(client, settings): url = reverse("cookies:cookies-preferences") response = client.get(f"{url}?from=http://not-the-same.com/next/") assert response.status_code == 200 assert response.context["prev_page"] == "/" def test_prev_page_different_scheme(client, settings): url = reverse("cookies:cookies-preferences") response = client.get(f"{url}?from=https://test-server/next/") assert response.status_code == 200 assert response.context["prev_page"] == "/"

36.642857

73

0.706628

134

1,026

5.261194

0.268657

0.158865

0.096454

0.13617

0.808511

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0

0.013529

0.135478

1,026

27

74

38

0.781285

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0

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0

0.2

0

null

0

1

0

null

0

6

cb8686a1dde192080fd9d92d57ea8101e52e61bd

4,319

py

Python

nitorch/tests/test_fft.py

balbasty/nitorch

d30c3125a8a66ea1434f2b39ed03338afd9724b4

[ "MIT" ]

46

2020-07-31T10:14:05.000Z

2022-03-24T12:51:46.000Z

nitorch/tests/test_fft.py

balbasty/nitorch

d30c3125a8a66ea1434f2b39ed03338afd9724b4

[ "MIT" ]

36

2020-10-06T19:01:38.000Z

2022-02-03T18:07:35.000Z

nitorch/tests/test_fft.py

balbasty/nitorch

d30c3125a8a66ea1434f2b39ed03338afd9724b4

[ "MIT" ]

6

2021-01-05T14:59:05.000Z

2021-11-18T18:26:45.000Z

import pytest import torch from nitorch.core.optionals import try_import from nitorch.core import fft as nifft pyfft = try_import('torch.fft', _as=True) _torch_has_old_fft = nifft._torch_has_old_fft _torch_has_complex = nifft._torch_has_complex _torch_has_fft_module = nifft._torch_has_fft_module _torch_has_fftshift = nifft._torch_has_fftshift norms = ('forward', 'backward', 'ortho') ndims = (1, 2, 3, 4) @pytest.mark.parametrize('norm', norms) def test_fft(norm): if not _torch_has_fft_module or not _torch_has_old_fft: return True nifft._torch_has_complex = False nifft._torch_has_fft_module = False nifft._torch_has_fftshift = False x = torch.randn([16, 32, 2], dtype=torch.doubl) f1 = pyfft.fft(torch.complex(x[..., 0], x[..., 1]), norm=norm) f2 = nifft.fft(x, norm=norm) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) x = torch.randn([16, 32, 2], dtype=torch.doubl) f1 = pyfft.fft(torch.complex(x[..., 0], x[..., 1]), dim=0, norm=norm) f2 = nifft.fft(x, dim=0, norm=norm) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) x = torch.randn([16, 32], dtype=torch.doubl) f1 = pyfft.fft(x, norm=norm) f2 = nifft.fft(x, real=True, norm=norm) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) @pytest.mark.parametrize('norm', norms) def test_ifft(norm): if not _torch_has_fft_module or not _torch_has_old_fft: return True nifft._torch_has_complex = False nifft._torch_has_fft_module = False nifft._torch_has_fftshift = False x = torch.randn([16, 32, 2], dtype=torch.doubl) f1 = pyfft.ifft(torch.complex(x[..., 0], x[..., 1]), norm=norm) f2 = nifft.ifft(x, norm=norm) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) x = torch.randn([16, 32, 2], dtype=torch.doubl) f1 = pyfft.ifft(torch.complex(x[..., 0], x[..., 1]), dim=0, norm=norm) f2 = nifft.ifft(x, dim=0, norm=norm) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) x = torch.randn([16, 32], dtype=torch.doubl) f1 = pyfft.ifft(x, norm=norm) f2 = nifft.ifft(x, real=True, norm=norm) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) @pytest.mark.parametrize('norm', norms) @pytest.mark.parametrize('ndim', ndims) @pytest.mark.parametrize('shuffle', (True, False)) def test_fftn(norm, ndim, shuffle): if not _torch_has_fft_module or not _torch_has_old_fft: return True nifft._torch_has_complex = False nifft._torch_has_fft_module = False nifft._torch_has_fftshift = False dims = [0, 1, -2, 3] if shuffle: import random random.shuffle(dims) dims = dims[:ndim] x = torch.randn([4, 9, 16, 33, 2], dtype=torch.double) f1 = pyfft.fftn(torch.complex(x[..., 0], x[..., 1]), norm=norm, dim=dims) f2 = nifft.fftn(x, norm=norm, dim=dims) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) x = torch.randn([4, 9, 16, 33], dtype=torch.double) f1 = pyfft.fftn(x, norm=norm, dim=dims) f2 = nifft.fftn(x, real=True, norm=norm, dim=dims) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2, atol=1e-5) @pytest.mark.parametrize('norm', norms) @pytest.mark.parametrize('ndim', ndims) @pytest.mark.parametrize('shuffle', (True, False)) def test_ifftn(norm, ndim, shuffle): if not _torch_has_fft_module or not _torch_has_old_fft: return True nifft._torch_has_complex = False nifft._torch_has_fft_module = False nifft._torch_has_fftshift = False dims = [0, 1, -2, 3] if shuffle: import random random.shuffle(dims) dims = dims[:ndim] x = torch.randn([4, 9, 16, 33, 2], dtype=torch.double) f1 = pyfft.ifftn(torch.complex(x[..., 0], x[..., 1]), norm=norm, dim=dims) f2 = nifft.ifftn(x, norm=norm, dim=dims) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2) x = torch.randn([4, 9, 16, 33], dtype=torch.double) f1 = pyfft.ifftn(x, norm=norm, dim=dims) f2 = nifft.ifftn(x, real=True, norm=norm, dim=dims) f2 = torch.complex(f2[..., 0], f2[..., 1]) assert torch.allclose(f1, f2, atol=1e-5)

32.719697

78

0.631628

680

4,319

3.854412

0.092647

0.085464

0.079359

0.064861

0.888211

0.879054

0.853491

0.832507

0.808852

0

0.050488

0.192869

4,319

131

79

32.969466

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0.660194

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0.038835

false

0

0.067961

0

0.145631

0

null

0

1

0

null

0

6

cb945213eb343aae33a206a4afc02487c8db444f

176

py

Python

emtf_nnet/keras/quantization/__init__.py

jiafulow/emtf-nnet

70a6c747c221178f9db940197ea886bdb60bf3ba

[ "Apache-2.0" ]

null

emtf_nnet/keras/quantization/__init__.py

jiafulow/emtf-nnet

70a6c747c221178f9db940197ea886bdb60bf3ba

[ "Apache-2.0" ]

null

emtf_nnet/keras/quantization/__init__.py

jiafulow/emtf-nnet

70a6c747c221178f9db940197ea886bdb60bf3ba

[ "Apache-2.0" ]

null

from .quantize_model import quantize_annotate_model, quantize_model, quantize_scope from tensorflow_model_optimization.python.core.quantization.keras import quantize_annotate

44

90

0.897727

22

176

6.818182

0.545455

0.173333

0.293333

0

0.0625

176

3

91

58.666667

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

cba7db3f25732397f118d3ec9c69484fd99af5aa

35

py

Python

src/CryptoPlus/Util/randpool.py

koujiandou-mhfg/python-cryptoplus

a5a1f8aecce4ddf476b2d80b586822d9e91eeb7d

[ "MIT" ]

64

2015-01-15T10:41:41.000Z

2022-01-10T23:51:42.000Z

src/CryptoPlus/Util/randpool.py

koujiandou-mhfg/python-cryptoplus

a5a1f8aecce4ddf476b2d80b586822d9e91eeb7d

[ "MIT" ]

5

2016-01-05T17:48:22.000Z

2018-02-22T04:32:17.000Z

src/CryptoPlus/Util/randpool.py

koujiandou-mhfg/python-cryptoplus

a5a1f8aecce4ddf476b2d80b586822d9e91eeb7d

[ "MIT" ]

53

2015-04-14T00:17:02.000Z

2022-03-12T05:32:05.000Z

from Crypto.Util.randpool import *

17.5

34

0.8

5

35

5.6

1

0

0.114286

35

1

35

0.903226

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

cba7ec42248377443ecfec4c0c0072be2e6cb90d

90

py

Python

tests/spec_test_cases/test_containers.py

mkwiatkowski/pinocchio

1281aa42a8f1f950c8987cde6df16570d353ee2f

[ "MIT" ]

10

2015-01-23T18:53:23.000Z

2022-03-26T06:09:27.000Z

tests/spec_test_cases/test_containers.py

mkwiatkowski/pinocchio

1281aa42a8f1f950c8987cde6df16570d353ee2f

[ "MIT" ]

7

2015-01-18T17:28:38.000Z

2021-05-18T10:29:24.000Z

tests/spec_test_cases/test_containers.py

mkwiatkowski/pinocchio

1281aa42a8f1f950c8987cde6df16570d353ee2f

[ "MIT" ]

2

2015-01-23T18:58:54.000Z

2015-09-14T10:09:51.000Z

def test_are_marked_as_deprecated(): pass def test_doesnt_work_with_sets(): pass

15

36

0.766667

14

90

4.357143

0.785714

0.229508

0

0.166667

90

5

37

18

0.813333

0

0.5

0

1

0.5

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

cbe32f16c66a15823f2e6cbe36a5cfc2916c536f

93

py

Python

spring_cloud/gateway/pathpattern/__init__.py

haribo0915/Spring-Cloud-in-Python

0bcd7093869c797df14428bf2d1b0a779f96e573

[ "Apache-2.0" ]

5

2020-10-06T09:48:23.000Z

2020-10-07T13:19:46.000Z

spring_cloud/gateway/pathpattern/__init__.py

haribo0915/Spring-Cloud-in-Python

0bcd7093869c797df14428bf2d1b0a779f96e573

[ "Apache-2.0" ]

5

2020-10-05T09:57:01.000Z

2020-10-12T19:52:48.000Z

spring_cloud/gateway/pathpattern/__init__.py

haribo0915/Spring-Cloud-in-Python

0bcd7093869c797df14428bf2d1b0a779f96e573

[ "Apache-2.0" ]

8

2020-10-05T06:34:49.000Z

2020-10-07T13:19:46.000Z

# -*- coding: utf-8 -*- from .elements import * from .parser import * from .pattern import *

18.6

23

0.655914

12

93

5.083333

0.666667

0.327869

0

0.013158

0.182796

93

4

24

23.25

0.789474

0.225806

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

1db9fb3f09abf32caf22270167f9134d59878fb2

27

py

Python

fastai/utils/__init__.py

bhoomit/fastai

45c8e42bffd8d6cb4c9dc709136be566666f21b3

[ "Apache-2.0" ]

2

2019-03-06T23:19:16.000Z

2020-08-12T23:44:31.000Z

fastai/utils/__init__.py

bhoomit/fastai

45c8e42bffd8d6cb4c9dc709136be566666f21b3

[ "Apache-2.0" ]

3

2021-05-20T19:59:09.000Z

2022-02-26T09:11:29.000Z

fastai/utils/__init__.py

bhoomit/fastai

45c8e42bffd8d6cb4c9dc709136be566666f21b3

[ "Apache-2.0" ]

2

2018-09-19T09:35:09.000Z

2018-10-03T09:08:12.000Z

from .collect_env import *

13.5

26

0.777778

4

27

5

1

0

0.148148

27

1

27

0.869565

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3824889bf7f50fb993c7a301f9b378cd49cc8917

29

py

Python

bin/test_mo519.py

maxozo/nf_example

c6746c075e88bcc09465bcfeb2c7cecae0e118ca

[ "MIT" ]

null

bin/test_mo519.py

maxozo/nf_example

c6746c075e88bcc09465bcfeb2c7cecae0e118ca

[ "MIT" ]

null

bin/test_mo519.py

maxozo/nf_example

c6746c075e88bcc09465bcfeb2c7cecae0e118ca

[ "MIT" ]

null

print("Yes, I am running!")

9.666667

27

0.62069

5

29

3.6

1

0

0.172414

29

3

27

9.666667

0.75

0

0.642857

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

6987066e8d1415b6ed66059b2dc92722e8d20a07

5,972

py

Python

sdk/python/tests/integration/registration/test_cli_apply_duplicated_featureview_names.py

danilopeixoto/feast

57d134355364654a2275b477b3b82b149f0779ca

[ "Apache-2.0" ]

2,258

2020-05-17T02:41:07.000Z

2022-03-31T22:30:57.000Z

sdk/python/tests/integration/registration/test_cli_apply_duplicated_featureview_names.py

danilopeixoto/feast

57d134355364654a2275b477b3b82b149f0779ca

[ "Apache-2.0" ]

1,768

2020-05-16T05:37:28.000Z

2022-03-31T23:30:05.000Z

sdk/python/tests/integration/registration/test_cli_apply_duplicated_featureview_names.py

danilopeixoto/feast

57d134355364654a2275b477b3b82b149f0779ca

[ "Apache-2.0" ]

415

2020-05-16T18:21:27.000Z

2022-03-31T09:59:10.000Z

import tempfile from pathlib import Path from textwrap import dedent from tests.utils.cli_utils import CliRunner, get_example_repo def test_cli_apply_duplicated_featureview_names() -> None: """ Test apply feature views with duplicated names and single py file in a feature repo using CLI """ with tempfile.TemporaryDirectory() as repo_dir_name, tempfile.TemporaryDirectory() as data_dir_name: runner = CliRunner() # Construct an example repo in a temporary dir repo_path = Path(repo_dir_name) data_path = Path(data_dir_name) repo_config = repo_path / "feature_store.yaml" repo_config.write_text( dedent( f""" project: foo registry: {data_path / "registry.db"} provider: local online_store: path: {data_path / "online_store.db"} """ ) ) repo_example = repo_path / "example.py" repo_example.write_text( get_example_repo( "example_feature_repo_with_duplicated_featureview_names.py" ) ) rc, output = runner.run_with_output(["apply"], cwd=repo_path) assert ( rc != 0 and b"Please ensure that all feature view names are case-insensitively unique" in output ) def test_cli_apply_imported_featureview() -> None: """ Test apply feature views with duplicated names and single py file in a feature repo using CLI """ with tempfile.TemporaryDirectory() as repo_dir_name, tempfile.TemporaryDirectory() as data_dir_name: runner = CliRunner() # Construct an example repo in a temporary dir repo_path = Path(repo_dir_name) data_path = Path(data_dir_name) repo_config = repo_path / "feature_store.yaml" repo_config.write_text( dedent( f""" project: foo registry: {data_path / "registry.db"} provider: local online_store: path: {data_path / "online_store.db"} """ ) ) repo_example = repo_path / "example.py" repo_example.write_text(get_example_repo("example_feature_repo_2.py")) repo_example_2 = repo_path / "example_2.py" repo_example_2.write_text( "from example import driver_hourly_stats_view\n" "from feast import FeatureService\n" "a_feature_service = FeatureService(\n" " name='driver_locations_service',\n" " features=[driver_hourly_stats_view],\n" ")\n" ) rc, output = runner.run_with_output(["apply"], cwd=repo_path) assert rc == 0 assert b"Created feature service driver_locations_service" in output def test_cli_apply_imported_featureview_with_duplication() -> None: """ Test apply feature views with duplicated names and single py file in a feature repo using CLI """ with tempfile.TemporaryDirectory() as repo_dir_name, tempfile.TemporaryDirectory() as data_dir_name: runner = CliRunner() # Construct an example repo in a temporary dir repo_path = Path(repo_dir_name) data_path = Path(data_dir_name) repo_config = repo_path / "feature_store.yaml" repo_config.write_text( dedent( f""" project: foo registry: {data_path / "registry.db"} provider: local online_store: path: {data_path / "online_store.db"} """ ) ) repo_example = repo_path / "example.py" repo_example.write_text(get_example_repo("example_feature_repo_2.py")) repo_example_2 = repo_path / "example_2.py" repo_example_2.write_text( "from datetime import timedelta\n" "from example import driver_hourly_stats, driver_hourly_stats_view\n" "from feast import FeatureService, FeatureView\n" "a_feature_service = FeatureService(\n" " name='driver_locations_service',\n" " features=[driver_hourly_stats_view],\n" ")\n" "driver_hourly_stats_view_2 = FeatureView(\n" " name='driver_hourly_stats',\n" " entities=['driver_id'],\n" " ttl=timedelta(days=1),\n" " online=True,\n" " batch_source=driver_hourly_stats,\n" " tags={'dummy': 'true'})\n" ) rc, output = runner.run_with_output(["apply"], cwd=repo_path) assert rc != 0 assert ( b"More than one feature view with name driver_hourly_stats found." in output ) def test_cli_apply_duplicated_featureview_names_multiple_py_files() -> None: """ Test apply feature views with duplicated names from multiple py files in a feature repo using CLI """ with tempfile.TemporaryDirectory() as repo_dir_name, tempfile.TemporaryDirectory() as data_dir_name: runner = CliRunner() # Construct an example repo in a temporary dir repo_path = Path(repo_dir_name) data_path = Path(data_dir_name) repo_config = repo_path / "feature_store.yaml" repo_config.write_text( dedent( f""" project: foo registry: {data_path / "registry.db"} provider: local online_store: path: {data_path / "online_store.db"} """ ) ) # Create multiple py files containing the same feature view name for i in range(3): repo_example = repo_path / f"example{i}.py" repo_example.write_text(get_example_repo("example_feature_repo_2.py")) rc, output = runner.run_with_output(["apply"], cwd=repo_path) assert ( rc != 0 and b"Please ensure that all feature view names are case-insensitively unique" in output )

33.363128

104

0.610348

711

5,972

4.841069

0.151899

0.041836

0.044451

0.030506

0.838466

0.822487

0.798664

0.7638

0.734166

0

0.003853

0.304588

5,972

178

105

33.550562

0.824946

0.10432

0

0.664122

0

0.360901

0.092922

0

0.045802

1

0.030534

false

0

0.083969

0

0.114504

0

null

0

1

0

null

0

6

69d7fd0f4ebc6397446ca038d9fe8a7ba2f84d55

37

py

Python

tests/unit/cli/test_evaluate.py

flickerfly/anchore-cli

bdfd0252db8d159191a39b9f7dd360fc8de3d20a

[ "Apache-2.0" ]

null

tests/unit/cli/test_evaluate.py

flickerfly/anchore-cli

bdfd0252db8d159191a39b9f7dd360fc8de3d20a

[ "Apache-2.0" ]

1

2021-01-13T22:22:41.000Z

2021-01-13T22:23:26.000Z

tests/unit/cli/test_evaluate.py

flickerfly/anchore-cli

bdfd0252db8d159191a39b9f7dd360fc8de3d20a

[ "Apache-2.0" ]

null

from anchorecli.cli import evaluate

12.333333

35

0.837838

5

37

6.2

1

0

0.135135

37

2

36

18.5

0.96875

0

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true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

6

385dabb70926ef3711b1127953c1117097608bd2

60

py

Python

HW/import_monster/src/__init__.py

SaidMuratbekov/msai-python

fc694d9d6571af8dbdf162a35f98b6ffdd079396

[ "MIT" ]

null

HW/import_monster/src/__init__.py

SaidMuratbekov/msai-python

fc694d9d6571af8dbdf162a35f98b6ffdd079396

[ "MIT" ]

null

HW/import_monster/src/__init__.py

SaidMuratbekov/msai-python

fc694d9d6571af8dbdf162a35f98b6ffdd079396

[ "MIT" ]

null

from . import methods_importer # noga from . import * # noga

30

37

0.733333

8

60

5.375

0.625

0.465116

0

0.183333

60

2

38

30

0.877551

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true

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1

0

null

0

1

0

1

0

1

0

6

38806e810e77010e7bd4578fd89fddcb59951a4a

102

py

Python

app/handlers/homework/__init__.py

vitaliy-ukiru/math-bot

72c116b4f5a4aa6a5f8eaae67ecbbf3df821f9e9

[ "MIT" ]

1

2021-12-11T07:41:38.000Z

app/handlers/homework/__init__.py

vitaliy-ukiru/math-bot

72c116b4f5a4aa6a5f8eaae67ecbbf3df821f9e9

[ "MIT" ]

8

2021-05-08T21:48:34.000Z

2022-01-20T15:42:00.000Z

app/handlers/homework/__init__.py

vitaliy-ukiru/math-bot

72c116b4f5a4aa6a5f8eaae67ecbbf3df821f9e9

[ "MIT" ]

null

__all__ = ("dp",) from .commands import dp from .callback_mode import dp from .inline_mode import dp

17

29

0.754902

16

102

4.4375

0.5

0.253521

0.338028

0

0.156863

102

5

30

20.4

0.825581

0

0.019608

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

38884279b7f04430315f5cb3aa3ddb2510ef320a

37

py

Python

bolsa/urls.py

IgorAlmeeida/pet-site

265c1d622548093c4b58679efe5f8b8f3c7ebb84

[ "MIT" ]

null

bolsa/urls.py

IgorAlmeeida/pet-site

265c1d622548093c4b58679efe5f8b8f3c7ebb84

[ "MIT" ]

null

bolsa/urls.py

IgorAlmeeida/pet-site

265c1d622548093c4b58679efe5f8b8f3c7ebb84

[ "MIT" ]

null

from django.urls import path, include

37

0.837838

6

37

5.166667

1

0

0.108108

37

1

37

0.939394

0

1

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true

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0

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null

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0

null

0

1

0

1

0

1

0

6

2a06af3fc074cd117eaa9c0c366a5228436c4df4

167

py

Python

backend/trips/admin.py

repeating/PoputchikiInno

54b60cfd3c40a25357667c4044fd477f3b6b9152

[ "CC-BY-4.0" ]

20

2021-09-23T16:33:34.000Z

2022-01-08T08:56:10.000Z

backend/trips/admin.py

repeating/PoputchikiInno

54b60cfd3c40a25357667c4044fd477f3b6b9152

[ "CC-BY-4.0" ]

null

backend/trips/admin.py

repeating/PoputchikiInno

54b60cfd3c40a25357667c4044fd477f3b6b9152

[ "CC-BY-4.0" ]

2

2021-09-23T16:31:39.000Z

2021-12-17T01:02:01.000Z

from django.contrib import admin from .models import CarTrip, Relation admin.site.register(CarTrip) from django.contrib import admin admin.site.register(Relation)

16.7

37

0.814371

23

167

5.913043

0.434783

0.147059

0.25

0.338235

0.411765

0

0.113772

167

9

38

18.555556

0.918919

0

0.4

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1

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true

0

0.6

0

0.6

0

1

0

null

0

1

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1

0

null

0

1

0

1

0

6

2a1d665db4aa7f8019dbeb2f16897614a25a48f2

8,167

py

Python

pybargain_protocol/tests/test_bargaining_proposal.py

LaurentMT/pybargain_protocol

3b4c6040ec3562ce6921f917c97a9931d5c6e5de

[ "MIT" ]

1

2015-06-30T15:34:41.000Z

pybargain_protocol/tests/test_bargaining_proposal.py

LaurentMT/pybargain_protocol

3b4c6040ec3562ce6921f917c97a9931d5c6e5de

[ "MIT" ]

null

pybargain_protocol/tests/test_bargaining_proposal.py

LaurentMT/pybargain_protocol

3b4c6040ec3562ce6921f917c97a9931d5c6e5de

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- ''' Version: 0.0.1 Python library for the bargaining protocol ''' import json import unittest from pybargain_protocol.constants import * from pybargain_protocol.bargaining_message import BargainingMessage from pybargain_protocol.tests.helpers import build_valid_single_tx, build_proposal_message, build_request_ack_message, build_unsigned_single_tx from pybargain_protocol.tests.values import * ''' SPECIFIC TEST VALUES ''' VALID_MIN_SIG = 'G2hoKHDmsSkxGgBGCtG5i848dhIu7KC2k0G80UdMgYTQjGYtLsnM6eQixwcUp0OTDSenqEjbxm8x/GsW8bHDkNA=' VALID_FULL_SIG = 'G4tshZ7kLc8iZvxIRSzRsbDED/Suz8j+5tdl1o650URXD8LIOBXR88KDLS4UGZIZ1wIOThNLty/fUabMBX11vVA=' class TestBargainingProposal(unittest.TestCase): def test_valid_min_unsigned(self): ''' Tests validity of a minimal BargainingProposal message (unsigned) ''' # Builds a minimal message txs = build_valid_single_tx(VALID_BUYER_AMOUNT, 0, VALID_OUTPUTS1) msg = build_proposal_message(time=VALID_TIME3, transactions=txs) # Gets the serialized message msg_ser = msg.pbuff # Deserializes the message msg_deser = BargainingMessage.deserialize(msg_ser) # Checks self.assertTrue(msg.check_msg_fmt(TESTNET)) self.assertTrue(msg_deser.check_msg_fmt(TESTNET)) self.assertEqual(msg_deser.msg_type, TYPE_BARGAIN_PROPOSAL) self.assertEqual(msg_deser.details_version, PROTOCOL_VERSION) self.assertEqual(msg_deser.sign_type, SIGN_NONE) self.assertEqual(msg_deser.sign_data, '') self.assertEqual(msg_deser.signature, '') self.assertEqual(msg_deser.pbuff, msg_ser) self.assertEqual(msg_deser.status, MSG_STATUS_OK) self.assertEqual(msg_deser.details.time, VALID_TIME3) self.assertEqual(msg_deser.details.buyer_data, '') self.assertEqual(msg_deser.details.seller_data, '') self.assertEqual(msg_deser.details.memo, '') self.assertEqual(msg_deser.details.transactions, txs) def test_valid_min_signed(self): ''' Tests validity of a minimal BargainingProposal message (signed) ''' # Build a previous RequestACK message prev_msg = build_request_ack_message(time=VALID_TIME2, outputs=VALID_OUTPUTS1) # Builds a minimal message txs = build_valid_single_tx(VALID_BUYER_AMOUNT, 0, VALID_OUTPUTS1) msg = build_proposal_message(time=VALID_TIME3, transactions=txs, sign_type=SIGN_ECDSA_SHA256, prev_msg=prev_msg) # Gets the serialized message msg_ser = msg.pbuff # Deserializes the message msg_deser = BargainingMessage.deserialize(msg_ser) # Checks self.assertEquals(msg.signature, VALID_MIN_SIG) self.assertEquals(msg_deser.signature, VALID_MIN_SIG) self.assertTrue(msg.check_signature(prev_msg)) self.assertTrue(msg_deser.check_signature(prev_msg)) def test_valid_full_unsigned(self): ''' Tests validity of a full BargainingProposal message (unsigned) ''' # Builds a minimal message txs = build_valid_single_tx(VALID_BUYER_AMOUNT, 0, VALID_OUTPUTS1) msg = build_proposal_message(VALID_TIME3, VALID_BUYER_DATA, VALID_SELLER_DATA, txs, VALID_BUYER_AMOUNT, 0,VALID_MEMO, VALID_REFUND_TO, SIGN_NONE) # Gets the serialized message msg_ser = msg.pbuff # Deserializes the message msg_deser = BargainingMessage.deserialize(msg_ser) # Checks self.assertTrue(msg.check_msg_fmt(TESTNET)) self.assertTrue(msg_deser.check_msg_fmt(TESTNET)) self.assertEqual(msg_deser.msg_type, TYPE_BARGAIN_PROPOSAL) self.assertEqual(msg_deser.details_version, PROTOCOL_VERSION) self.assertEqual(msg_deser.sign_type, SIGN_NONE) self.assertEqual(msg_deser.sign_data, '') self.assertEqual(msg_deser.signature, '') self.assertEqual(msg_deser.pbuff, msg_ser) self.assertEqual(msg_deser.status, MSG_STATUS_OK) self.assertEqual(msg_deser.details.time, VALID_TIME3) self.assertEqual(msg_deser.details.buyer_data, VALID_BUYER_DATA) self.assertEqual(msg_deser.details.seller_data, VALID_SELLER_DATA) self.assertEqual(msg_deser.details.memo, VALID_MEMO) self.assertEqual(msg_deser.details.transactions, txs) def test_valid_full_signed(self): ''' Tests validity of a full BargainingProposal message (signed) ''' # Build a previous RequestACK message prev_msg = build_request_ack_message(time=VALID_TIME2, outputs=VALID_OUTPUTS1) # Builds a minimal message txs = build_valid_single_tx(VALID_BUYER_AMOUNT, 0, VALID_OUTPUTS1) msg = build_proposal_message(VALID_TIME3, VALID_BUYER_DATA, VALID_SELLER_DATA, txs, VALID_BUYER_AMOUNT, 0, VALID_MEMO, VALID_REFUND_TO, SIGN_ECDSA_SHA256, prev_msg) # Gets the serialized message msg_ser = msg.pbuff # Deserializes the message msg_deser = BargainingMessage.deserialize(msg_ser) # Checks self.assertTrue(msg.check_signature(prev_msg)) self.assertTrue(msg_deser.check_signature(prev_msg)) self.assertEquals(msg.signature, VALID_FULL_SIG) self.assertEquals(msg_deser.signature, VALID_FULL_SIG) def test_invalid_memo(self): ''' Tests invalidity of a message with an invalid memo ''' txs = build_valid_single_tx(VALID_BUYER_AMOUNT, 0, VALID_OUTPUTS1) msg = build_proposal_message(time=VALID_TIME3, transactions=txs, memo=INVALID_MEMO) self.assertIsNone(msg) def test_invalid_time(self): ''' Tests invalidity of a message with erroneous time ''' txs = build_valid_single_tx(VALID_BUYER_AMOUNT, 0, VALID_OUTPUTS1) msg = build_proposal_message(transactions=txs) self.assertIsNone(msg) def test_invalid_sign(self): ''' Tests invalidity of a message with an invalid signature ''' # Build a previous RequestACK message prev_msg = build_request_ack_message(time=VALID_TIME2, outputs=VALID_OUTPUTS1) # Builds a minimal message txs = build_valid_single_tx(VALID_BUYER_AMOUNT, 0, VALID_OUTPUTS1) msg = build_proposal_message(time=VALID_TIME3, transactions=txs, sign_type=SIGN_ECDSA_SHA256, prev_msg=prev_msg) # Overrides the signature with an invalid one msg.signature = INVALID_SIG msg.pbuff = msg.serialize() # Gets the serialized message msg_ser = msg.pbuff # Deserializes the message msg_deser = BargainingMessage.deserialize(msg_ser) # Checks self.assertFalse(msg.check_signature(prev_msg)) self.assertFalse(msg_deser.check_signature(prev_msg)) def test_invalid_refund_to(self): ''' Tests invalidity of a message with an invalid refund_to ''' txs = build_valid_single_tx(VALID_AMOUNT1, 0, VALID_OUTPUTS1) msg = build_proposal_message(time=VALID_TIME3, transactions=txs, amount=VALID_AMOUNT1, fees=0, is_redeemable=True) self.assertIsNone(msg) def test_invalid_empty_txs(self): ''' Tests invalidity of a message with an empty txs ''' msg = build_proposal_message(time=VALID_TIME3, amount=VALID_AMOUNT1, fees=0) self.assertIsNone(msg) def test_invalid_txs(self): ''' Tests invalidity of a message with an unsigned tx (unsigned tx) ''' txs = build_unsigned_single_tx(VALID_AMOUNT1, 0, VALID_OUTPUTS1) msg = build_proposal_message(time=VALID_TIME3, transactions=txs, amount=VALID_AMOUNT1, fees=0) self.assertIsNone(msg) if __name__ == '__main__': unittest.main()

41.247475

143

0.681401

958

8,167

5.496868

0.123173

0.05469

0.082036

0.104823

0.817888

0.802317

0.767755

0.738891

0.68572

0.63046

0

0.014233

0.242929

8,167

198

144

41.247475

0.837458

0.154157

0

0.544554

0

0.027803

0.026594

0

0.425743

1

0.09901

false

0

0.059406

0

0.168317

0

null

0

1

0

1

0

null

0

1

0

6

2a5d2f166480069ad31b757653d2a473e58eda46

71

py

Python

ss_generator/ca_tracing/__init__.py

xingjiepan/alpha_helix_generator

2b35691b790e6363d5c4897a72c3efa8556d0143

[ "BSD-3-Clause" ]

null

ss_generator/ca_tracing/__init__.py

xingjiepan/alpha_helix_generator

2b35691b790e6363d5c4897a72c3efa8556d0143

[ "BSD-3-Clause" ]

null

ss_generator/ca_tracing/__init__.py

xingjiepan/alpha_helix_generator

2b35691b790e6363d5c4897a72c3efa8556d0143

[ "BSD-3-Clause" ]

null

from . import alpha_helix from . import beta_sheet from . import basic

17.75

25

0.788732

11

71

4.909091

0.636364

0.555556

0

0.169014

71

3

26

23.666667

0.915254

0

1

0

true

0

1

0

1

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null

1

0

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0

null

0

1

0

1

0

1

0

6

2a8d088e69e650c0af1093bde0cb6d68149eeefb

7,530

py

Python

utils/Category_Model.py

bamdart/Photo-Filter-Recommendation

60032ebbc8891536b929e0aea17e98723ae346ad

[ "MIT" ]

null

utils/Category_Model.py

bamdart/Photo-Filter-Recommendation

60032ebbc8891536b929e0aea17e98723ae346ad

[ "MIT" ]

null

utils/Category_Model.py

bamdart/Photo-Filter-Recommendation

60032ebbc8891536b929e0aea17e98723ae346ad

[ "MIT" ]

null

import keras from keras.models import Model from keras.layers import * from utils.shuffleNet_v2 import * from utils.module import * # output_filters = 128 def block(x, filters): filters = filters // 4 x1 = Conv2D(filters = filters, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x1 = BatchNormalization()(x1) x1 = LeakyReLU(alpha=0.1)(x1) x2 = Conv2D(filters = filters, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x1) x2 = BatchNormalization()(x2) x2 = LeakyReLU(alpha=0.1)(x2) x3 = Concatenate(axis = -1)([x1,x2]) x3 = Conv2D(filters = filters, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x3) x3 = BatchNormalization()(x3) x3 = LeakyReLU(alpha=0.1)(x3) x4 = Concatenate(axis = -1)([x1,x2, x3]) x4 = Conv2D(filters = filters, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x4) x4 = BatchNormalization()(x4) x4 = LeakyReLU(alpha=0.1)(x4) x5 = Concatenate(axis = -1)([x1,x2, x3, x4]) return x5 # def CreatModel(input_shape, output_shape = 8, ouput_feature = False): # # Define model input # input_tensor = Input(input_shape) # x = Conv2D(filters = 16, kernel_size = (3, 3), strides = (2, 2), padding = 'same')(input_tensor) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.1)(x) # x = Conv2D(filters = 32, kernel_size = (5, 5), strides = (1, 1), padding = 'same')(x) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.1)(x) # x = AveragePooling2D(pool_size = (3, 3), strides = (2, 2), padding = 'same')(x) # x = block(x, filters = 64) # x = AveragePooling2D(pool_size = (3, 3), strides = (2, 2), padding = 'same')(x) # x = block(x, filters = 128) # x = AveragePooling2D(pool_size = (3, 3), strides = (2, 2), padding = 'same')(x) # x = block(x, filters = 256) # x = Conv2D(filters = output_filters, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.1)(x) # feature = GlobalAveragePooling2D()(x) # # classify # x = Dense(8)(feature) # #x = BatchNormalization()(x) # x = Activation('softmax')(x) # if(ouput_feature): # classify_model = Model(inputs = input_tensor, outputs = feature) # else: # classify_model = Model(inputs = input_tensor, outputs = x) # return classify_model # def CreatModel(input_shape = (28, 28, 1), output_shape = 10): # # Define model input # input_tensor = Input(input_shape) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(input_tensor) # x = LeakyReLU(alpha=0.2)(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = LeakyReLU(alpha=0.2)(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = LeakyReLU(alpha=0.2)(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = LeakyReLU(alpha=0.2)(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.2)(x) # x = AveragePooling2D(pool_size = (3, 3), strides = (3, 3), padding = 'same')(x) # # x = Dropout(0.2)(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = LeakyReLU(alpha=0.2)(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.2)(x) # x = AveragePooling2D(pool_size = (3, 3), strides = (3, 3), padding = 'same')(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.2)(x) # x = Conv2D(filters = 64, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.2)(x) # x = AveragePooling2D(pool_size = (3, 3), strides = (3, 3), padding = 'same')(x) # x = GlobalAveragePooling2D()(x) # # Fully Connected Layer # # x = Dense(4096)(x) # x = Dense(128)(x) # x = Dense(8)(x) # # sigmoid activation function # output_tensor = Activation('sigmoid')(x) # model = Model(inputs = input_tensor, outputs = output_tensor) # return model def CreatModel(input_shape = (28, 28, 1), output_shape = 10): # Define model input input_tensor = Input(input_shape) f = 64 # x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(input_tensor) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.1)(x) # x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) # x = BatchNormalization()(x) # x = LeakyReLU(alpha=0.1)(x) # x = MaxPool2D(pool_size = (2, 2), strides = (2, 2), padding = 'same')(x) # x = Xception_module(x, use_BN = True,filter_num = f) # x = Xception_reduce_module(x,filter_num = f*2) # x = Xception_module(x,filter_num = f*2) # x = Dropout(0.2)(x) # x = ShuffleNet_v2_block(x, output_channels = f * 2) # x = Dropout(0.1)(x) # x = block(x, f) # x = AveragePooling2D(pool_size = (2, 2), strides = (2, 2), padding = 'same')(x) # x = Dropout(0.1)(x) x_shortcut = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(input_tensor) x_shortcut = BatchNormalization()(x_shortcut) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(input_tensor) x = LeakyReLU(alpha=0.1)(x) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = LeakyReLU(alpha=0.1)(x) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = LeakyReLU(alpha=0.1)(x) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = LeakyReLU(alpha=0.1)(x) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = BatchNormalization()(x) x = Add()([x, x_shortcut]) x = LeakyReLU(alpha=0.1)(x) x = MaxPool2D(pool_size = (3, 3), strides = (3, 3), padding = 'same')(x) # x = Dropout(0.1)(x) x_shortcut = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x_shortcut = BatchNormalization()(x_shortcut) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = LeakyReLU(alpha=0.1)(x) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = BatchNormalization()(x) x = Add()([x, x_shortcut]) x = LeakyReLU(alpha=0.1)(x) x = MaxPool2D(pool_size = (3, 3), strides = (3, 3), padding = 'same')(x) # x = Dropout(0.1)(x) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = BatchNormalization()(x) x = LeakyReLU(alpha=0.2)(x) x = Conv2D(filters = f, kernel_size = (3, 3), strides = (1, 1), padding = 'same')(x) x = BatchNormalization()(x) x = LeakyReLU(alpha=0.2)(x) # x = MaxPool2D(pool_size = (3, 3), strides = (3, 3), padding = 'same')(x) x = GlobalAveragePooling2D()(x) # Fully Connected Layer x = Dense(128)(x) x = Dense(8)(x) # sigmoid activation function output_tensor = Activation('sigmoid')(x) model = Model(inputs = input_tensor, outputs = output_tensor) return model

39.424084

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0.580744

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3.967563

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0.03644

0.051857

0.112357

0.838122

0.836253

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39.631579

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0

0.145161

0

null

0

1

0

null

0

6

aaa4a9a620748cbcbd3827006950798c8fb88ae6

190

py

Python

websearch/SearchApp/views.py

AdaFactor/OpenMarathon-Websearch

505305cd2977f083b9685a7f81b489e0865f8bc3

[ "MIT" ]

null

websearch/SearchApp/views.py

AdaFactor/OpenMarathon-Websearch

505305cd2977f083b9685a7f81b489e0865f8bc3

[ "MIT" ]

null

websearch/SearchApp/views.py

AdaFactor/OpenMarathon-Websearch

505305cd2977f083b9685a7f81b489e0865f8bc3

[ "MIT" ]

null

from django.shortcuts import render def index(request): return render(request, 'SearchApp/index.html') def yourimages(request): return render(request, 'SearchApp/yourimages.html')

23.75

55

0.763158

23

190

6.304348

0.521739

0.17931

0.262069

0.358621

0.482759

0

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190

8

55

23.75

0.873494

0

0.235602

0.13089

0

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0.4

false

0

0.2

0.4

1

0

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null

0

1

0

1

0

null

0

1

0

1

0

6

aaa8c5382aeef570dc3972361e76cee3240dbadc

44

py

Python

test/integration/test_test.py

Loopring/hummingbot-deprecated

43be8574ed9efd405aeee13a34c7a87ee732c7aa

[ "Apache-2.0" ]

null

test/integration/test_test.py

Loopring/hummingbot-deprecated

43be8574ed9efd405aeee13a34c7a87ee732c7aa

[ "Apache-2.0" ]

null

test/integration/test_test.py

Loopring/hummingbot-deprecated

43be8574ed9efd405aeee13a34c7a87ee732c7aa

[ "Apache-2.0" ]

1

2021-11-23T19:59:17.000Z

import conf import hummingbot print("Done")

11

17

0.795455

6

44

5.833333

0.833333

0

0.113636

44

4

18

11

0.897436

0

0.088889

0

1

0

true

0

0.666667

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

aab4bd4fe7d78c64db7bb43a282f19f125c54cc9

43

py

Python

virtual/lib/python3.6/site-packages/pylint/test/functional/old_division_manually.py

drewheathens/The-Moringa-Tribune

98ee4d63c9df6f1f7497fc6876960a822d914500

[ "MIT" ]

69

2019-02-18T12:07:35.000Z

2022-03-12T10:38:32.000Z

virtual/lib/python3.6/site-packages/pylint/test/functional/old_division_manually.py

drewheathens/The-Moringa-Tribune

98ee4d63c9df6f1f7497fc6876960a822d914500

[ "MIT" ]

32

2018-05-01T05:24:43.000Z

2022-03-11T23:20:39.000Z

virtual/lib/python3.6/site-packages/pylint/test/functional/old_division_manually.py

drewheathens/The-Moringa-Tribune

98ee4d63c9df6f1f7497fc6876960a822d914500

[ "MIT" ]

88

2016-11-27T02:16:11.000Z

2020-02-28T05:10:26.000Z

from __future__ import division print 1 / 3

21.5

31

0.813953

7

43

4.428571

1

0

0.055556

0.162791

43

2

32

21.5

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0.5

null

0.5

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1

0

null

0

1

0

1

0

1

0

6

2aa4fe58d568be23c63c7774f00a06cc50ed53c0

90

py

Python

src/stk/molecular/molecules/__init__.py

fiszczyp/stk

56e75c493a472d98ccbf3af14cc9ce7f12cbe3d7

[ "MIT" ]

null

src/stk/molecular/molecules/__init__.py

fiszczyp/stk

56e75c493a472d98ccbf3af14cc9ce7f12cbe3d7

[ "MIT" ]

null

src/stk/molecular/molecules/__init__.py

fiszczyp/stk

56e75c493a472d98ccbf3af14cc9ce7f12cbe3d7

[ "MIT" ]

null

from .molecule import * from .building_block import * from .constructed_molecule import *

22.5

35

0.8

11

90

6.363636

0.545455

0.4

0

0.133333

90

3

36

30

0.897436

0

1

0

true

0

1

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1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

2aea8ce6899cd446fd0ae8e44117bf8bc3dc1ca9

44

py

Python

flask_api/app/__init__.py

brennanhfredericks/network-monitor-server

7c811d7851aee5d069569306c46dff39d8d52400

[ "MIT" ]

null

flask_api/app/__init__.py

brennanhfredericks/network-monitor-server

7c811d7851aee5d069569306c46dff39d8d52400

[ "MIT" ]

null

flask_api/app/__init__.py

brennanhfredericks/network-monitor-server

7c811d7851aee5d069569306c46dff39d8d52400

[ "MIT" ]

null

from .app import app from .common import db

14.666667

22

0.772727

8

44

4.25

0.625

0

0.181818

44

2

23

22

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

630271810c2da572d2ec4c4506dcd1ac0fc339d5

2,003

py

Python

kvdroid/jclass/android/app.py

kvdroid/Kvdroid

8df0712f93fd3908a90792186ca7ee351c3d654e

[ "MIT" ]

21

2022-01-05T09:24:27.000Z

2022-03-31T05:40:11.000Z

kvdroid/jclass/android/app.py

kengoon/PyAndroidKX

53b72b51c7b9aec06bbc330e7bf0f2e3a89736e2

[ "MIT" ]

8

2021-12-28T14:20:26.000Z

2022-03-28T08:05:13.000Z

kvdroid/jclass/android/app.py

kengoon/KvDroid

7a4e2ab417ceeee909f820525bf48fa3b4404264

[ "MIT" ]

6

2021-12-31T07:05:32.000Z

2022-02-23T02:29:36.000Z

from jnius import autoclass # NOQA from kvdroid.jclass import _class_call def NotificationManager(*args, instantiate: bool = False): return _class_call(autoclass("android.app.NotificationManager"), args, instantiate) def Notification(*args, instantiate: bool = False): return _class_call(autoclass("android.app.Notification"), args, instantiate) if autoclass('android.os.Build$VERSION').SDK_INT >= 26: def NotificationChannel(*args, instantiate: bool = False): return _class_call(autoclass("android.app.NotificationChannel"), args, instantiate) def WallpaperManager(*args, instantiate: bool = False): return _class_call(autoclass('android.app.WallpaperManager'), args, instantiate) def Request(*args, instantiate: bool = False): return _class_call(autoclass("android.app.DownloadManager$Request"), args, instantiate) def Activity(*args, instantiate: bool = False): return _class_call(autoclass('android.app.Activity'), args, instantiate) def PendingIntent(*args, instantiate: bool = False): return _class_call(autoclass("android.app.PendingIntent"), args, instantiate) def MemoryInfo(*args, instantiate: bool = False): return _class_call(autoclass('android.app.ActivityManager$MemoryInfo'), args, instantiate) def ActivityManager(*args, instantiate: bool = False): return _class_call(autoclass("android.app.ActivityManager"), args, instantiate) def ComponentName(*args, instantiate: bool = False): return _class_call(autoclass("android.content.ComponentName"), args, instantiate) def ApplicationInfo(*args, instantiate: bool = False): return _class_call(autoclass("android.content.pm.ApplicationInfo"), args, instantiate) def PackageManager(*args, instantiate: bool = False): return _class_call(autoclass("android.content.pm.PackageManager"), args, instantiate) def Configuration(*args, instantiate: bool = False): return _class_call(autoclass("android.content.res.Configuration"), args, instantiate)

35.767857

94

0.757863

220

2,003

6.768182

0.186364

0.261921

0.165883

0.209537

0.53996

0

0.001138

0.122816

2,003

55

95

36.418182

0.846329

0.001997

0

0.206309

0.196294

0

1

0.448276

true

0

0.068966

0.448276

0.965517

0

null

1

0

1

0

null

0

1

0

1

0

6

6328afd73fc129c7b655d6338f175bf4815de40b

139

py

Python

reactiondataextractor/models/__init__.py

dmw51/reactiondataextractor

f7d2ee9a2a7df17ffcf9b33efee2bcb49dfdcbae

[ "MIT" ]

3

2021-09-29T01:33:35.000Z

2022-03-19T09:04:23.000Z

reactiondataextractor/models/__init__.py

dmw51/reactiondataextractor

f7d2ee9a2a7df17ffcf9b33efee2bcb49dfdcbae

[ "MIT" ]

4

2021-10-05T06:11:28.000Z

2022-02-23T21:18:32.000Z

reactiondataextractor/models/__init__.py

dmw51/reactiondataextractor

f7d2ee9a2a7df17ffcf9b33efee2bcb49dfdcbae

[ "MIT" ]

null

from .base import * from .exceptions import * # from .output import * from .reaction import * from .segments import * from .utils import *

19.857143

25

0.726619

18

139

5.611111

0.444444

0.49505

0

0.179856

139

6

26

23.166667

0.885965

0.151079

0

1

0

true

0

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1

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1

0

null

0

1

0

1

0

1

0

6

2dba3e250d2eedcf8ec125a3caf29dd38196c6b9

46

py

Python

HW/HW5/CW5.5.py

kolyasalubov/Lv-639.pythonCore

06f10669a188318884adb00723127465ebdf2907

[ "MIT" ]

null

HW/HW5/CW5.5.py

kolyasalubov/Lv-639.pythonCore

06f10669a188318884adb00723127465ebdf2907

[ "MIT" ]

null

HW/HW5/CW5.5.py

kolyasalubov/Lv-639.pythonCore

06f10669a188318884adb00723127465ebdf2907

[ "MIT" ]

null

def count_sheeps(sheep): return sum(sheep)

23

24

0.73913

7

46

4.714286

0.857143

0

0.152174

46

2

25

23

0.846154

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

2de21d932a32c9275b4186a6004f7110e185e537

11,368

py

Python

mamonsu/plugins/system/linux/scripts.py

sgrinko/mamonsu

03b8e1217b08e6580e08129fddd64dbc20265fd4

[ "BSD-3-Clause" ]

188

2016-01-31T09:05:59.000Z

2022-03-22T16:49:12.000Z

mamonsu/plugins/system/linux/scripts.py

sgrinko/mamonsu

03b8e1217b08e6580e08129fddd64dbc20265fd4

[ "BSD-3-Clause" ]

162

2016-02-02T13:49:14.000Z

2022-02-22T08:45:42.000Z

mamonsu/plugins/system/linux/scripts.py

sgrinko/mamonsu

03b8e1217b08e6580e08129fddd64dbc20265fd4

[ "BSD-3-Clause" ]

46

2016-01-31T21:23:37.000Z

2022-02-07T10:59:54.000Z

class Scripts(object): Bash = { # name_of_script: 'script ' 'disk_sizes': """#!/bin/bash PATH=/usr/local/bin:${PATH} IFS_DEFAULT="${IFS}" contains() { [[ $1 =~ (^|${2})"${3}"($|${2}) ]] && echo "1" || echo "0" } ################################################################################# while getopts "s::a:sj:uphvt:" OPTION; do case ${OPTION} in j) JSON=1 JSON_ATTR=(${OPTARG}) IFS="${IFS_DEFAULT}" ;; esac done ################################################################################# rval=$(cat /proc/self/mountinfo) exclude_list=("none" "unknown" "rootfs" "iso9660" "squashfs" "udf" "romfs" "ramfs" "debugfs" "cgroup" "cgroup_root" "pstore" "devtmpfs" "autofs" "cgroup" "configfs" "devpts" "efivarfs" "fusectl" "fuse.gvfsd-fuse" "hugetlbfs" "mqueue" "nfsd" "proc" "pstore" "rpc_pipefs" "securityfs" "sysfs" "nsfs" "tmpfs" "tracefs") list_str=$(IFS=","; echo "${exclude_list[*]}") output=" " if [[ ${JSON} -eq 1 ]]; then echo '{' echo ' "data":[' count=1 while read line; do values=(${line}) if [ $(contains "${list_str}" "," "${values[8]}") -eq 0 ]; then if [[ ${output} != " " ]]; then echo " ${output}" fi output='{ ' output+='"'{#${JSON_ATTR[0]}}'"' output+=':' output+='"'${values[4]}'"' output+=' }' tmp="${output}" output="${output}," fi let "count=count+1" done <<< "${rval}" echo " ${tmp}" echo ' ]' echo '}' else echo "${rval:-0}" fi exit ${rcode} """, 'disk_stats': """#!/bin/bash IFS_DEFAULT="${IFS}" # ################################################################################# while getopts "s::a:sj:uphvt:" OPTION; do case ${OPTION} in j) JSON=1 JSON_ATTR=(${OPTARG}) IFS="${IFS_DEFAULT}" ;; esac done ################################################################################# output=" " rval=`cat /proc/diskstats` if [[ ${JSON} -eq 1 ]]; then echo '{' echo ' "data":[' count=1 value=0 while read line; do if [[ ${line} != '' ]]; then IFS="|" values=(${line}) if [[ $count == 1 ]]; then # for loop0 case new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 3` read_op=`echo "$new_value2" | cut -d " " -f 4` read_sc=`echo "$new_value2" | cut -d " " -f 6` write_op=`echo "$new_value2" | cut -d " " -f 8` write_sc=`echo "$new_value2" | cut -d " " -f 10` ticks=`echo "$new_value2" | cut -d " " -f 13` else new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 4` read_op=`echo "$new_value2" | cut -d " " -f 5` read_sc=`echo "$new_value2" | cut -d " " -f 7` write_op=`echo "$new_value2" | cut -d " " -f 9` write_sc=`echo "$new_value2" | cut -d " " -f 11` ticks=`echo "$new_value2" | cut -d " " -f 14` fi if [[ $new_value3 != *"loop"* ]] && [[ $new_value3 != *"ram"* ]] && [[ $new_value3 != *[0-9]* ]]; then if [[ ${output} != " " ]]; then echo " ${output}" fi value=$(($read_op+$value)) output='{ ' output+='"'{#${JSON_ATTR[0]}}'"' output+=':' output+='"'$new_value3'"' output+=' }' tmp="${output}" output="${output}," fi fi let "count=count+1" done <<< ${rval} echo " ${tmp}" echo ' ]' echo '}' else echo "${rval:-0}" fi exit ${rcode} """, 'disk_stats_read_op': """#!/bin/bash rval=`cat /proc/diskstats` count=1 value=0 while read line; do if [[ ${line} != '' ]]; then IFS="|" values=(${line}) if [[ $count == 1 ]]; then # for loop0 case new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` # echo $new_value2 new_value3=`echo "$new_value2" | cut -d " " -f 3` read_op=`echo "$new_value2" | cut -d " " -f 4` else new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 4` read_op=`echo "$new_value2" | cut -d " " -f 5` fi re='^[0-9]+$' has_digits='no' if [[ "${new_value3: -1}" =~ $re ]]; then has_digits='yes' fi if [[ $new_value3 != *"loop"* ]] && [[ $new_value3 != *"ram"* ]] && [[ $has_digits == 'no' ]]; then value=$(($read_op+$value)) fi fi let "count=count+1" done <<< ${rval} echo $(($value)) """, 'disk_stats_read_b': """#!/bin/bash rval=`cat /proc/diskstats` count=1 value=0 while read line; do if [[ ${line} != '' ]]; then IFS="|" values=(${line}) if [[ $count == 1 ]]; then # for loop0 case new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` # echo $new_value2 new_value3=`echo "$new_value2" | cut -d " " -f 3` read_sc=`echo "$new_value2" | cut -d " " -f 6` else new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 4` read_sc=`echo "$new_value2" | cut -d " " -f 7` fi re='^[0-9]+$' has_digits='no' if [[ "${new_value3: -1}" =~ $re ]]; then has_digits='yes' fi if [[ $new_value3 != *"loop"* ]] && [[ $new_value3 != *"ram"* ]] && [[ $has_digits == 'no' ]]; then value=$(($read_sc+$value)) fi fi let "count=count+1" done <<< ${rval} echo $(($value*512)) """, 'disk_stats_write_op': """#!/bin/bash rval=`cat /proc/diskstats` count=1 value=0 while read line; do if [[ ${line} != '' ]]; then IFS="|" values=(${line}) if [[ $count == 1 ]]; then # for loop0 case new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 3` write_op=`echo "$new_value2" | cut -d " " -f 8` else new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 4` write_op=`echo "$new_value2" | cut -d " " -f 9` fi re='^[0-9]+$' has_digits='no' if [[ "${new_value3: -1}" =~ $re ]]; then has_digits='yes' fi if [[ $new_value3 != *"loop"* ]] && [[ $new_value3 != *"ram"* ]] && [[ $has_digits == 'no' ]];then #echo $write_op value=$(($write_op+$value)) fi fi let "count=count+1" done <<< ${rval} echo $(($value)) """, 'disk_stats_write_b': """#!/bin/bash rval=`cat /proc/diskstats` count=1 value=0 while read line; do if [[ ${line} != '' ]]; then IFS="|" values=(${line}) if [[ $count == 1 ]]; then # for loop0 case new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 3` write_sc=`echo "$new_value2" | cut -d " " -f 10` else new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 4` write_sc=`echo "$new_value2" | cut -d " " -f 11` fi re='^[0-9]+$' has_digits='no' if [[ "${new_value3: -1}" =~ $re ]]; then has_digits='yes' fi #echo $values if [[ $new_value3 != *"loop"* ]] && [[ $new_value3 != *"ram"* ]] && [[ $has_digits == 'no' ]]; then #echo $write_sc #echo $new_value3 value=$(($write_sc+$value)) fi fi let "count=count+1" done <<< ${rval} echo $(($value*512)) """, 'net': """#!/bin/bash ################################################################################# while getopts "s::a:sj:uphvt:" OPTION; do case ${OPTION} in j) JSON=1 JSON_ATTR=(${OPTARG}) ;; esac done ################################################################################# rval=$(cat /proc/net/dev) output=" " if [[ ${JSON} -eq 1 ]]; then echo '{' echo ' "data":[' count=1 while read line; do values=(${line}) if [[ "${values[0]}" != *"lo:"* ]] && [[ "${#values[@]}">1 ]]; then if [[ ${output} != " " ]] && [[ $count > 4 ]]; then echo " ${output}" fi output='{ ' output+='"'{#${JSON_ATTR[0]}}'"' output+=':' t="${values[0]}" output+='"'${t%?}'"' output+=' }' tmp="${output}" output="${output}," fi let "count=count+1" done <<< "${rval}" echo " ${tmp}" echo ' ]' echo '}' else echo "${rval:-0}" fi exit ${rcode} """, 'disk_stats_ticks': """#!/bin/bash rval=`cat /proc/diskstats` count=1 value=0 while read line; do if [[ ${line} != '' ]]; then IFS="|" values=(${line}) if [[ $count == 1 ]]; then # for loop0 case new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` # echo $new_value2 new_value3=`echo "$new_value2" | cut -d " " -f 3` ticks=`echo "$new_value2" | cut -d " " -f 13` else new_value2=`echo ${values[0]} | sed -n '/[0-9]/s/ \+/ /gp'` new_value3=`echo "$new_value2" | cut -d " " -f 4` ticks=`echo "$new_value2" | cut -d " " -f 14` fi if [[ $new_value3 != *"loop"* ]] && [[ $new_value3 != *"ram"* ]]; then #echo $ticks value=$(($ticks+$value)) fi fi let "count=count+1" done <<< ${rval} echo $(($value)) """ }

29.994723

117

0.369282

1,165

11,368

3.477253

0.112446

0.104419

0.112318

0.126389

0.84078

0.833374

0.826709

0.807208

0.74747

0

0.034695

0.399103

11,368

378

118

30.074074

0.558337

0.002199

0

0.296

0

1

0

false

0

0.111111

0

null

0

1

0

null

0

6

2dedcc161b0c6e738e573e0058c036574fbcf91b

169

py

Python

intake_postgres/__init__.py

ContinuumIO/intake-postgres

fda7f7b2b6255544ea7ffd365a4ac8b2655fd226

[ "BSD-2-Clause" ]

2

2018-11-26T00:14:10.000Z

2018-12-21T01:52:44.000Z

intake_postgres/__init__.py

ContinuumIO/intake-postgres

fda7f7b2b6255544ea7ffd365a4ac8b2655fd226

[ "BSD-2-Clause" ]

1

2018-12-20T08:41:05.000Z

2018-12-21T15:00:08.000Z

intake_postgres/__init__.py

ContinuumIO/intake-postgres

fda7f7b2b6255544ea7ffd365a4ac8b2655fd226

[ "BSD-2-Clause" ]

3

2018-12-19T08:34:14.000Z

2019-01-24T07:58:32.000Z

from __future__ import absolute_import from .intake_postgres import PostgresSource from .intake_postgres import __version__ __all__ = ['PostgresSource', '__version__']

28.166667

43

0.840237

18

169

6.833333

0.5

0.162602

0.292683

0.390244

0

0.100592

169

5

44

33.8

0.809211

0

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0

1

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1

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932d89fd7611518436db59af4160b2fb99512b1e

37,763

py

Python

tests/minimal/parent/test_parent.py

InscriptaLabs/BioCantor

e0b240480e229c28d3e12ba629d80ae2e397fa8f

[ "MIT" ]

19

2021-04-20T04:11:30.000Z

2021-10-11T14:48:57.000Z

tests/minimal/parent/test_parent.py

InscriptaLabs/BioCantor

e0b240480e229c28d3e12ba629d80ae2e397fa8f

[ "MIT" ]

1

2021-08-10T23:13:38.000Z

2021-08-11T18:45:45.000Z

tests/minimal/parent/test_parent.py

InscriptaLabs/BioCantor

e0b240480e229c28d3e12ba629d80ae2e397fa8f

[ "MIT" ]

2

2021-08-02T08:14:35.000Z

2021-09-15T19:30:38.000Z

import pytest from inscripta.biocantor.exc import ( NoSuchAncestorException, InvalidStrandException, InvalidPositionException, NullParentException, MismatchedParentException, ParentException, LocationException, ) from inscripta.biocantor.location.location_impl import ( SingleInterval, CompoundInterval, EmptyLocation, ) from inscripta.biocantor.location.strand import Strand from inscripta.biocantor.parent import Parent, make_parent from inscripta.biocantor.sequence.alphabet import Alphabet from inscripta.biocantor.sequence import Sequence class TestParent: @pytest.mark.parametrize( "id,sequence_type,strand,location,sequence,expected", [ (None, None, None, None, None, Parent()), ( "id", "seqtype", Strand.MINUS, SingleInterval( 0, 1, Strand.MINUS, Parent( id="id", sequence_type="seqtype", strand=Strand.MINUS, sequence=Sequence( "AAA", Alphabet.NT_STRICT, id="id", type="seqtype", parent=Parent( id="id2", sequence=Sequence("CCC", Alphabet.NT_STRICT, id="id2"), ), ), ), ), Sequence( "AAA", Alphabet.NT_STRICT, id="id", type="seqtype", parent=Parent(id="id2", sequence=Sequence("CCC", Alphabet.NT_STRICT, id="id2")), ), Parent( id="id", sequence_type="seqtype", strand=Strand.MINUS, location=SingleInterval( 0, 1, Strand.MINUS, Parent( id="id", sequence_type="seqtype", strand=Strand.MINUS, sequence=Sequence( "AAA", Alphabet.NT_STRICT, id="id", type="seqtype", parent=Parent( id="id2", sequence=Sequence("CCC", Alphabet.NT_STRICT, id="id2"), ), ), ), ), sequence=Sequence( "AAA", Alphabet.NT_STRICT, id="id", type="seqtype", parent=Parent( id="id2", sequence=Sequence("CCC", Alphabet.NT_STRICT, id="id2"), ), ), ), ), ], ) def test_init(self, id, sequence_type, strand, location, sequence, expected): assert expected == Parent( id=id, sequence_type=sequence_type, strand=strand, location=location, sequence=sequence, ) @pytest.mark.parametrize( "id,sequence_type,strand,location,sequence,parent,expected_exception", [ ("id1", None, None, SingleInterval(0, 5, Strand.PLUS, parent="id2"), None, None, ParentException), ("id1", None, None, None, Sequence("AAA", Alphabet.NT_STRICT, id="id2"), None, ParentException), ( None, None, None, SingleInterval(0, 5, Strand.PLUS, parent="id1"), Sequence("AAC", Alphabet.NT_STRICT, id="id2"), None, ParentException, ), ( None, "seqtype", None, SingleInterval(0, 5, Strand.PLUS, parent=Parent(sequence_type="unknown")), None, None, ParentException, ), (None, "seqtype", None, None, Sequence("AAT", Alphabet.NT_STRICT, type="unknown"), None, ParentException), ( None, None, None, SingleInterval(0, 5, Strand.PLUS, parent=Parent(sequence_type="unknown")), Sequence("AAG", Alphabet.NT_STRICT, type="seqtype"), None, ParentException, ), (None, None, Strand.MINUS, SingleInterval(0, 5, Strand.PLUS), None, None, InvalidStrandException), ( None, None, None, SingleInterval(0, 10, Strand.PLUS), Sequence("A", Alphabet.NT_STRICT), None, InvalidPositionException, ), ( None, None, None, None, Sequence("AA", Alphabet.NT_STRICT), Parent(sequence=Sequence("A", Alphabet.NT_STRICT)), LocationException, ), (None, None, Strand.PLUS, SingleInterval(5, 10, Strand.MINUS), None, None, InvalidStrandException), ( None, None, None, None, Sequence("AA", Alphabet.NT_STRICT, parent="id1"), Parent(id="id2"), MismatchedParentException, ), ], ) def test_init_error(self, id, sequence_type, strand, location, sequence, parent, expected_exception): with pytest.raises(expected_exception): Parent( id=id, sequence_type=sequence_type, strand=strand, location=location, sequence=sequence, parent=parent, ) @pytest.mark.parametrize( "obj,expected", [ ( Sequence("AAA", Alphabet.NT_STRICT), Parent(sequence=Sequence("AAA", Alphabet.NT_STRICT)), ), ("parent", Parent(id="parent")), ( SingleInterval(5, 10, Strand.PLUS), Parent(location=SingleInterval(5, 10, Strand.PLUS)), ), ( CompoundInterval([5], [10], Strand.PLUS), Parent(location=CompoundInterval([5], [10], Strand.PLUS)), ), (EmptyLocation(), Parent(location=EmptyLocation())), (Strand.MINUS, Parent(strand=Strand.MINUS)), ( Parent( id="parent", sequence_type="chr", strand=Strand.MINUS, parent=Parent(id="grandparent"), ), Parent( id="parent", sequence_type="chr", strand=Strand.MINUS, parent=Parent(id="grandparent"), ), ), ], ) def test_make_parent(self, obj, expected): assert make_parent(obj) == expected @pytest.mark.parametrize( "parent1,parent2,expected", [ (Parent(), Parent(), True), (Parent(), Parent(id=None, sequence_type=None), True), (Parent(id="id1"), Parent(id="id2"), False), ( Parent(sequence_type=None), Parent(sequence_type="unknown"), False, ), (Parent(strand=Strand.UNSTRANDED), Parent(strand=Strand.MINUS), False), ( Parent(location=SingleInterval(0, 5, Strand.PLUS, parent="id1")), Parent(location=SingleInterval(0, 5, Strand.PLUS, parent="id2")), False, ), ( Parent(sequence=Sequence("A", Alphabet.NT_STRICT)), Parent(sequence=Sequence("A", Alphabet.NT_STRICT, parent=Parent(id="parent"))), False, ), ( Parent(parent="parent1"), Parent(parent="parent2"), False, ), ], ) def test_eq(self, parent1, parent2, expected): assert (parent1 == parent2) is expected @pytest.mark.parametrize( "parent1,parent2,expected", [ (Parent(), Parent(), True), (Parent(id="id1"), Parent(id="id2"), False), ( Parent(sequence_type=None), Parent(sequence_type="unknown"), False, ), (Parent(strand=Strand.UNSTRANDED), Parent(strand=Strand.MINUS), True), ( Parent(location=SingleInterval(0, 5, Strand.PLUS, parent="id1")), Parent(location=SingleInterval(0, 5, Strand.PLUS, parent="id2")), False, ), ( Parent(sequence=Sequence("A", Alphabet.NT_STRICT)), Parent(sequence=Sequence("A", Alphabet.NT_STRICT, parent="parent")), False, ), ( Parent(parent="parent1"), Parent(parent="parent2"), False, ), ], ) def test_equals_except_location(self, parent1, parent2, expected): assert parent1.equals_except_location(parent2) is expected @pytest.mark.parametrize( "id,location,sequence,expected", [ ("id", None, None, "id"), ( None, SingleInterval(0, 1, Strand.PLUS, parent="id"), None, "id", ), ( None, None, Sequence("A", Alphabet.NT_STRICT, id="id", parent="id2"), "id", ), ( "id", SingleInterval(0, 1, Strand.PLUS, parent="id"), Sequence("A", Alphabet.NT_STRICT, id="id", parent="id2"), "id", ), ], ) def test_id(self, id, location, sequence, expected): assert Parent(id=id, location=location, sequence=sequence).id == expected @pytest.mark.parametrize( "sequence_type,location,sequence,expected", [ ("seqtype", None, None, "seqtype"), ( None, SingleInterval( 0, 5, Strand.PLUS, parent=Parent(sequence_type="seqtype"), ), None, "seqtype", ), ( None, None, Sequence("A", Alphabet.NT_STRICT, type="seqtype"), "seqtype", ), ( None, None, Sequence( "A", Alphabet.NT_STRICT, type="seqtype", parent=Parent(sequence_type="seqtype_2"), ), "seqtype", ), ], ) def test_sequence_type(self, sequence_type, location, sequence, expected): assert Parent(sequence_type=sequence_type, location=location, sequence=sequence).sequence_type == expected @pytest.mark.parametrize( "strand,location,sequence,expected", [ (Strand.PLUS, None, None, Strand.PLUS), (None, SingleInterval(0, 5, Strand.MINUS), None, Strand.MINUS), ( Strand.PLUS, None, Sequence("A", Alphabet.NT_STRICT, parent=Strand.MINUS), Strand.PLUS, ), ], ) def test_strand(self, strand, location, sequence, expected): assert Parent(strand=strand, location=location, sequence=sequence).strand == expected def test_location(self): assert Parent(location=SingleInterval(0, 1, Strand.PLUS)).location == SingleInterval(0, 1, Strand.PLUS) def test_sequence(self): assert Parent(sequence=Sequence("A", Alphabet.NT_STRICT)).sequence == Sequence("A", Alphabet.NT_STRICT) @pytest.mark.parametrize( "parent,expected", [ (Parent(parent="id"), Parent(id="id")), ( Parent( sequence=Sequence( "AA", Alphabet.NT_STRICT, parent=Parent(sequence_type="chr"), ) ), Parent(sequence_type="chr"), ), ], ) def test_parent(self, parent, expected): assert parent.parent == expected @pytest.mark.parametrize( "parent,expected", [ (Parent(), Parent()), (Parent(strand=Strand.PLUS), Parent()), ( Parent(strand=Strand.PLUS, location=SingleInterval(5, 10, Strand.PLUS)), Parent(), ), ( Parent( id="parent", sequence_type="unknown", strand=Strand.PLUS, location=SingleInterval(0, 1, Strand.PLUS), sequence=Sequence("AAA", Alphabet.NT_STRICT), parent="grandparent", ), Parent( id="parent", sequence_type="unknown", sequence=Sequence("AAA", Alphabet.NT_STRICT), parent="grandparent", ), ), ], ) def test_strip_location_info(self, parent, expected): assert parent.strip_location_info() == expected @pytest.mark.parametrize( "parent,sequence_type,include_self,expected", [ ( Parent( id="self", sequence_type="seqtype", parent=Parent(id="parent", sequence_type="seqtype"), ), "seqtype", True, Parent( id="self", sequence_type="seqtype", parent=Parent(id="parent", sequence_type="seqtype"), ), ), ( Parent( id="self", sequence_type="seqtype", parent=Parent(id="parent", sequence_type="seqtype"), ), "seqtype", False, Parent(id="parent", sequence_type="seqtype"), ), ( Parent( id="self", sequence_type="seqtype", parent=Parent( id="parent", sequence_type="seqtype_2", parent=Parent(id="grandparent", sequence_type="seqtype_2"), ), ), "seqtype_2", True, Parent( id="parent", sequence_type="seqtype_2", parent=Parent(id="grandparent", sequence_type="seqtype_2"), ), ), ], ) def test_first_ancestor_of_type(self, parent, sequence_type, include_self, expected): assert parent.first_ancestor_of_type(sequence_type, include_self=include_self) == expected @pytest.mark.parametrize( "parent,sequence_type,include_self", [ (Parent(id="self"), "seqtype_2", True), ( Parent(id="self", parent="parent"), "seqtype_2", True, ), ( Parent( id="self", sequence_type="seqtype", parent=Parent( id="parent", sequence_type="seqtype_2", parent=Parent(id="grandparent", sequence_type="seqtype_2"), ), ), "chr", True, ), ], ) def test_first_ancestor_of_type_error(self, parent, sequence_type, include_self): with pytest.raises(NoSuchAncestorException): parent.first_ancestor_of_type(sequence_type, include_self=include_self) @pytest.mark.parametrize( "parent,sequence_type,include_self,expected", [ ( Parent( id="self", sequence_type="seqtype", parent=Parent(id="parent", sequence_type="seqtype"), ), "seqtype", True, True, ), ( Parent( id="self", sequence_type="seqtype", parent=Parent(id="parent", sequence_type="seqtype"), ), "seqtype", False, True, ), ( Parent( id="self", sequence_type="seqtype", parent=Parent( id="parent", sequence_type="seqtype_2", parent=Parent(id="grandparent", sequence_type="seqtype_2"), ), ), "seqtype_2", True, True, ), ( Parent(id="self"), "seqtype_2", True, False, ), ( Parent(id="self", parent="parent"), "seqtype_2", True, False, ), ( Parent( id="self", sequence_type="seqtype", parent=Parent( id="parent", sequence_type="seqtype_2", parent=Parent(id="grandparent", sequence_type="seqtype_2"), ), ), "chr", True, False, ), ], ) def test_has_ancestor_of_type(self, parent, sequence_type, include_self, expected): assert parent.has_ancestor_of_type(sequence_type, include_self=include_self) is expected @pytest.mark.parametrize( "parent,expected", [ ( Parent( id="parent", location=SingleInterval(3, 5, Strand.PLUS), parent=Parent(id="grandparent", location=SingleInterval(10, 20, Strand.PLUS)), ), SingleInterval(13, 15, Strand.PLUS, parent="grandparent"), ), ( Parent( id="parent", location=SingleInterval(0, 5, Strand.PLUS), sequence_type="unknown", strand=Strand.PLUS, parent=Parent( id="grandparent", location=SingleInterval(100, 200, Strand.MINUS), ), ), SingleInterval(195, 200, Strand.MINUS, parent="grandparent"), ), ( Parent( id="parent", location=SingleInterval(6, 9, Strand.MINUS), parent=Parent( id="grandparent", location=SingleInterval(0, 10, Strand.PLUS), sequence_type="chr", strand=Strand.PLUS, parent="great grandparent", ), ), SingleInterval( 6, 9, Strand.MINUS, parent=Parent( id="grandparent", sequence_type="chr", parent="great grandparent", ), ), ), ( Parent( id="parent", sequence_type="chr", strand=Strand.MINUS, location=SingleInterval(6, 8, Strand.MINUS), parent=Parent( id="grandparent", sequence_type="unknown", strand=Strand.MINUS, location=SingleInterval(5, 15, Strand.MINUS), parent="great grandparent", ), ), SingleInterval( 7, 9, Strand.PLUS, parent=Parent( id="grandparent", sequence_type="unknown", parent="great grandparent", ), ), ), ( Parent( id="parent", location=SingleInterval(3, 5, Strand.UNSTRANDED), parent=Parent(id="grandparent", location=SingleInterval(10, 20, Strand.PLUS)), ), SingleInterval(13, 15, Strand.UNSTRANDED, parent="grandparent"), ), ( Parent( id="parent", location=SingleInterval(3, 5, Strand.UNSTRANDED), parent=Parent(id="grandparent", location=SingleInterval(10, 20, Strand.MINUS)), ), SingleInterval(15, 17, Strand.UNSTRANDED, parent="grandparent"), ), ], ) def test_lift_child_location_contiguous_to_parent_single_interval(self, parent, expected): assert parent.lift_child_location_to_parent() == expected @pytest.mark.parametrize( "parent,expected", [ ( Parent( id="parent", location=CompoundInterval([3, 7], [5, 10], Strand.PLUS), parent=Parent(id="grandparent", location=SingleInterval(10, 20, Strand.PLUS)), ), CompoundInterval([13, 17], [15, 20], Strand.PLUS, parent="grandparent"), ), ( Parent( id="parent", location=CompoundInterval([0, 10], [5, 15], Strand.PLUS), sequence_type="unknown", strand=Strand.PLUS, parent=Parent( id="grandparent", location=SingleInterval(100, 200, Strand.MINUS), ), ), CompoundInterval( [185, 195], [190, 200], Strand.MINUS, parent="grandparent", ), ), ( Parent( id="parent", location=CompoundInterval([6], [9], Strand.MINUS), parent=Parent( id="grandparent", location=SingleInterval(0, 10, Strand.PLUS), sequence_type="chr", strand=Strand.PLUS, parent="great grandparent", ), ), SingleInterval( 6, 9, Strand.MINUS, parent=Parent( id="grandparent", sequence_type="chr", parent="great grandparent", ), ), ), ( Parent( id="parent", sequence_type="chr", strand=Strand.MINUS, location=CompoundInterval([6], [8], Strand.MINUS), parent=Parent( id="grandparent", sequence_type="unknown", strand=Strand.MINUS, location=SingleInterval(5, 15, Strand.MINUS), parent="great grandparent", ), ), SingleInterval( 7, 9, Strand.PLUS, parent=Parent( id="grandparent", sequence_type="unknown", parent="great grandparent", ), ), ), ( Parent( id="parent", location=CompoundInterval([3, 7], [5, 10], Strand.UNSTRANDED), parent=Parent(id="grandparent", location=SingleInterval(10, 20, Strand.PLUS)), ), CompoundInterval( [13, 17], [15, 20], Strand.UNSTRANDED, parent="grandparent", ), ), ( Parent( id="parent", location=CompoundInterval([3], [5], Strand.UNSTRANDED), parent=Parent(id="grandparent", location=SingleInterval(10, 20, Strand.MINUS)), ), SingleInterval(15, 17, Strand.UNSTRANDED, parent="grandparent"), ), ], ) def test_lift_child_location_discontiguous_to_parent_single_interval(self, parent, expected): assert parent.lift_child_location_to_parent() == expected @pytest.mark.parametrize( "parent,expected_error", [ # No location ( Parent(parent=SingleInterval(5, 10, Strand.PLUS)), NullParentException, ), # Parent has no location ( Parent( location=SingleInterval(5, 10, Strand.PLUS), parent="grandparent", ), NullParentException, ), # Location on parent can't be unstranded ( Parent( location=SingleInterval(5, 10, Strand.PLUS), parent=Parent( id="grandparent", location=SingleInterval(0, 100, Strand.UNSTRANDED), ), ), InvalidStrandException, ), # Location must fit inside location on parent ( Parent( location=SingleInterval(5, 10, Strand.PLUS), parent=Parent(id="grandparent", location=SingleInterval(30, 31, Strand.PLUS)), ), ValueError, ), ], ) def test_lift_child_location_to_parent_single_interval_error(self, parent, expected_error): with pytest.raises(expected_error): parent.lift_child_location_to_parent() @pytest.mark.parametrize( "parent,expected", [ # Location takes up entire parent location ( Parent( id="parent", location=SingleInterval(0, 10, Strand.PLUS), parent=Parent( id="grandparent", location=CompoundInterval([5, 20], [10, 25], Strand.PLUS), ), ), CompoundInterval([5, 20], [10, 25], Strand.PLUS, parent="grandparent"), ), # Location (unstranded) takes up part of parent location (minus) ( Parent( id="parent", location=SingleInterval(10, 20, Strand.UNSTRANDED), parent=Parent( id="grandparent", location=CompoundInterval([10, 20, 30], [18, 28, 38], Strand.MINUS), ), ), CompoundInterval( [14, 20], [18, 26], Strand.UNSTRANDED, parent="grandparent", ), ), # Location (minus) takes up one block of parent location (plus); location is at end of sequence ( Parent( id="parent", location=SingleInterval(5, 10, Strand.MINUS), parent=Parent( id="grandparent", location=CompoundInterval([30, 40], [35, 45], Strand.PLUS), ), ), SingleInterval(40, 45, Strand.MINUS, parent="grandparent"), ), # Location (minus) takes up part of one block of parent location (minus) ( Parent( id="parent", location=SingleInterval(0, 4, Strand.MINUS), parent=Parent( id="grandparent", location=CompoundInterval([30, 40], [35, 45], Strand.MINUS), ), ), SingleInterval(41, 45, Strand.PLUS, parent="grandparent"), ), ], ) def test_lift_child_location_contiguous_to_parent_compound_interval(self, parent, expected): assert parent.lift_child_location_to_parent() == expected @pytest.mark.parametrize( "parent,expected", [ # Location takes up entire parent location ( Parent( id="parent", location=CompoundInterval([0, 5], [5, 10], Strand.PLUS), parent=Parent( id="grandparent", location=CompoundInterval([5, 20], [10, 25], Strand.PLUS), ), ), CompoundInterval([5, 20], [10, 25], Strand.PLUS, parent="grandparent"), ), # Location (unstranded) takes up part of parent location (minus) ( Parent( id="parent", location=CompoundInterval([10, 22], [20, 23], Strand.UNSTRANDED), parent=Parent( id="grandparent", location=CompoundInterval([10, 20, 30], [18, 28, 38], Strand.MINUS), ), ), CompoundInterval( [11, 14, 20], [12, 18, 26], Strand.UNSTRANDED, parent="grandparent", ), ), # Location (minus) takes up one block of parent location (plus); location is at end of sequence ( Parent( id="parent", location=CompoundInterval([5], [10], Strand.MINUS), parent=Parent( id="grandparent", location=CompoundInterval([30, 40], [35, 45], Strand.PLUS), ), ), SingleInterval(40, 45, Strand.MINUS, parent="grandparent"), ), # Location (minus) takes up part of one block of parent location (minus) ( Parent( id="parent", location=CompoundInterval([0, 3], [1, 4], Strand.MINUS), parent=Parent( id="grandparent", location=CompoundInterval([30, 40], [35, 45], Strand.MINUS), ), ), CompoundInterval([41, 44], [42, 45], Strand.PLUS, parent="grandparent"), ), ], ) def test_lift_child_location_discontiguous_to_parent_compound_interval(self, parent, expected): assert parent.lift_child_location_to_parent() == expected @pytest.mark.parametrize( "parent,expected_error", [ # Location must fit inside location on parent ( Parent( location=SingleInterval(5, 50, Strand.PLUS), parent=Parent( id="grandparent", location=CompoundInterval([10, 20], [15, 25], Strand.PLUS), ), ), InvalidPositionException, ), ], ) def test_lift_child_location_to_parent_compound_interval_error(self, parent, expected_error): with pytest.raises(expected_error): parent.lift_child_location_to_parent() @pytest.mark.parametrize( "parent,location,expected", [ ( Parent(), SingleInterval(5, 10, Strand.PLUS), Parent(location=SingleInterval(5, 10, Strand.PLUS), strand=Strand.PLUS), ), ( Parent( id="parent", sequence_type="unknown", strand=Strand.MINUS, location=SingleInterval(0, 2, Strand.MINUS), sequence=Sequence("AAA", Alphabet.NT_STRICT), ), SingleInterval(2, 3, Strand.PLUS), Parent( id="parent", sequence_type="unknown", strand=Strand.PLUS, location=SingleInterval(2, 3, Strand.PLUS), sequence=Sequence("AAA", Alphabet.NT_STRICT), ), ), ( Parent( id="parent", sequence_type="unknown", strand=Strand.MINUS, location=SingleInterval(0, 2, Strand.MINUS), sequence=Sequence("AAA", Alphabet.NT_STRICT), ), None, Parent( id="parent", sequence_type="unknown", sequence=Sequence("AAA", Alphabet.NT_STRICT), ), ), ], ) def test_reset_location(self, parent, location, expected): assert parent.reset_location(location) == expected @pytest.mark.parametrize( "parent,location,expected_exception", [ ( Parent(sequence=Sequence("AAA", Alphabet.NT_STRICT)), SingleInterval(0, 5, Strand.PLUS), InvalidPositionException, ), ( Parent(id="id1", sequence=Sequence("AAA", Alphabet.NT_STRICT)), SingleInterval( 0, 1, Strand.PLUS, parent=Parent(id="id2", sequence=Sequence("AAA", Alphabet.NT_STRICT)), ), ParentException, ), ], ) def test_reset_location_error(self, parent, location, expected_exception): with pytest.raises(expected_exception): parent.reset_location(location) @pytest.mark.parametrize( "parent,sequence,include_self,expected", [ (Parent(), Sequence("AA", Alphabet.NT_STRICT), True, False), (Parent(), Sequence("AA", Alphabet.NT_STRICT), False, False), ( Parent(sequence=Sequence("AA", Alphabet.NT_STRICT)), Sequence("AA", Alphabet.NT_STRICT), True, True, ), ( Parent(sequence=Sequence("AA", Alphabet.NT_STRICT)), Sequence("AA", Alphabet.NT_STRICT), False, False, ), ( Parent( sequence=Sequence("AA", Alphabet.NT_STRICT), parent=Sequence("AA", Alphabet.NT_STRICT), ), Sequence("AA", Alphabet.NT_STRICT), False, True, ), ( Parent( sequence=Sequence("AA", Alphabet.NT_STRICT), parent=Sequence("AAT", Alphabet.NT_STRICT), ), Sequence("AAT", Alphabet.NT_STRICT), False, True, ), ( Parent( sequence=Sequence("AA", Alphabet.NT_STRICT), parent=Sequence("AAT", Alphabet.NT_STRICT), ), Sequence("AAT", Alphabet.NT_STRICT, id="id"), True, False, ), ( Parent( parent=Parent(parent=Parent(parent=Parent(sequence=Sequence("AAA", Alphabet.NT_STRICT, id="seq")))) ), Sequence("AAA", Alphabet.NT_STRICT, id="seq"), True, True, ), ], ) def test_has_ancestor_sequence(self, parent, sequence, include_self, expected): assert parent.has_ancestor_sequence(sequence, include_self) == expected

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93619f4843dd6696861f6a30d232ae53cf55ca52

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py

Python

mef3_processor/mef3_processor/__init__.py

Pennsieve/timeseries-processor

85766afa76182503fd66cec8382c22e757743f01

[ "Apache-2.0" ]

null

mef3_processor/mef3_processor/__init__.py

Pennsieve/timeseries-processor

85766afa76182503fd66cec8382c22e757743f01

[ "Apache-2.0" ]

null

mef3_processor/mef3_processor/__init__.py

Pennsieve/timeseries-processor

85766afa76182503fd66cec8382c22e757743f01

[ "Apache-2.0" ]

null

from .processor import MEF3Processor

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Python

buildserver/sil_snomed_server/migrations/versions/initialize_basic_snomed_components_and__2016_08_17_89efb2ad498e.py

poppingtonic/terminology-server

788375e4f666b9344dc4f5faebee63fab58f1f57

[ "MIT" ]

null

buildserver/sil_snomed_server/migrations/versions/initialize_basic_snomed_components_and__2016_08_17_89efb2ad498e.py

poppingtonic/terminology-server

788375e4f666b9344dc4f5faebee63fab58f1f57

[ "MIT" ]

null

buildserver/sil_snomed_server/migrations/versions/initialize_basic_snomed_components_and__2016_08_17_89efb2ad498e.py

poppingtonic/terminology-server

788375e4f666b9344dc4f5faebee63fab58f1f57

[ "MIT" ]

1

2021-08-20T00:01:48.000Z

"""initialize basic snomed components and refsets Revision ID: 89efb2ad498e Revises: None Create Date: 2016-08-17 10:44:17.479387 """ # revision identifiers, used by Alembic. revision = '89efb2ad498e' down_revision = None from alembic import op import sqlalchemy as sa import sil_snomed_server def upgrade(): ### commands auto generated by Alembic - please adjust! ### op.create_table('curr_annotationrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('annotation', sa.Text(), nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id') ) op.create_index('sct_curr_annotationrefset_f_index_effective_time', 'curr_annotationrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_associationrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('target_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'target_component_id') ) op.create_index('sct_curr_associationrefset_f_index_effective_time', 'curr_associationrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_attributevaluerefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('value_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'value_id') ) op.create_index('sct_curr_attributevaluerefset_f_index_effective_time', 'curr_attributevaluerefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_complexmaprefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('map_group', sa.Integer(), autoincrement=False, nullable=False), sa.Column('map_priority', sa.Integer(), autoincrement=False, nullable=False), sa.Column('map_rule', sa.Unicode(), nullable=True), sa.Column('map_target', sa.Unicode(), nullable=True), sa.Column('correlation_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('map_advice', sa.Unicode(), nullable=True), sa.Column('map_block', sa.Integer(), autoincrement=False, nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'map_group', 'map_priority', 'correlation_id') ) op.create_index('sct_curr_complexmaprefset_f_index_effective_time', 'curr_complexmaprefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_concept_f', sa.Column('id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('definition_status_id', sa.BigInteger(), nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id') ) op.create_index(op.f('ix_curr_concept_f_id'), 'curr_concept_f', ['id'], unique=False) op.create_index('sct_curr_concept_f_index_effective_time', 'curr_concept_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_description_f', sa.Column('id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('concept_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('language_code', sa.Unicode(), nullable=True), sa.Column('type_id', sa.BigInteger(), nullable=True), sa.Column('term', sa.Text(), nullable=True), sa.Column('case_significance_id', sa.BigInteger(), nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'concept_id') ) op.create_index(op.f('ix_curr_description_f_id'), 'curr_description_f', ['id'], unique=False) op.create_index('sct_curr_description_f_index_effective_time', 'curr_description_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_descriptionformatrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('description_format_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('description_length', sa.Integer(), autoincrement=False, nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'description_format_id', 'description_length') ) op.create_index('sct_curr_descriptionformatrefset_f_index_effective_time', 'curr_descriptionformatrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_extendedmaprefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('map_group', sa.Integer(), autoincrement=False, nullable=False), sa.Column('map_priority', sa.Integer(), autoincrement=False, nullable=False), sa.Column('map_rule', sa.Unicode(), nullable=True), sa.Column('map_target', sa.Unicode(), nullable=True), sa.Column('correlation_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('map_category_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('map_advice', sa.Unicode(), nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'map_group', 'map_priority', 'correlation_id', 'map_category_id') ) op.create_index('sct_curr_extendedmaprefset_f_index_effective_time', 'curr_extendedmaprefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_langrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('acceptability_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'acceptability_id') ) op.create_index('sct_curr_langrefset_f_index_effective_time', 'curr_langrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_moduledependencyrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('source_effective_time', sa.Date(), nullable=False), sa.Column('target_effective_time', sa.Date(), nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'source_effective_time', 'target_effective_time') ) op.create_index('sct_curr_moduledependencyrefset_f_index_effective_time', 'curr_moduledependencyrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_orderedrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('order', sa.Integer(), autoincrement=False, nullable=False), sa.Column('linked_to_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'order', 'linked_to_id') ) op.create_index('sct_curr_orderedrefset_f_index_effective_time', 'curr_orderedrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_queryspecificationrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('query', sa.Unicode(), nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id') ) op.create_index('sct_curr_queryspecificationrefset_f_index_effective_time', 'curr_queryspecificationrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_referencesetdescriptorrefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('attribute_description_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('attribute_type_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('attribute_order', sa.Integer(), autoincrement=False, nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id', 'attribute_description_id', 'attribute_type_id', 'attribute_order') ) op.create_index('sct_curr_referencesetdescriptorrefset_f_index_effective_time', 'curr_referencesetdescriptorrefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_relationship_f', sa.Column('id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('source_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('destination_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('relationship_group', sa.Integer(), autoincrement=False, nullable=False), sa.Column('type_id', sa.BigInteger(), nullable=True), sa.Column('characteristic_type_id', sa.BigInteger(), nullable=True), sa.Column('modifier_id', sa.BigInteger(), nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'source_id', 'destination_id', 'relationship_group') ) op.create_index(op.f('ix_curr_relationship_f_id'), 'curr_relationship_f', ['id'], unique=False) op.create_index('sct_curr_relationship_f_index_effective_time', 'curr_relationship_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_simplemaprefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('map_target', sa.Unicode(), nullable=True), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id') ) op.create_index('sct_curr_simplemaprefset_f_index_effective_time', 'curr_simplemaprefset_f', ['effective_time'], unique=False, postgresql_using='brin') op.create_table('curr_simplerefset_f', sa.Column('id', sil_snomed_server.data_types.custom_types.sa.dialects.postgresql.UUID(), nullable=False), sa.Column('effective_time', sa.Date(), nullable=False), sa.Column('active', sa.Boolean(), nullable=False), sa.Column('module_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('refset_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.Column('referenced_component_id', sa.BigInteger(), autoincrement=False, nullable=False), sa.PrimaryKeyConstraint('id', 'effective_time', 'active', 'module_id', 'refset_id', 'referenced_component_id') ) op.create_index('sct_curr_simplerefset_f_index_effective_time', 'curr_simplerefset_f', ['effective_time'], unique=False, postgresql_using='brin') ### end Alembic commands ### def downgrade(): ### commands auto generated by Alembic - please adjust! ### op.drop_index('sct_curr_simplerefset_f_index_effective_time', table_name='curr_simplerefset_f') op.drop_table('curr_simplerefset_f') op.drop_index('sct_curr_simplemaprefset_f_index_effective_time', table_name='curr_simplemaprefset_f') op.drop_table('curr_simplemaprefset_f') op.drop_index('sct_curr_relationship_f_index_effective_time', table_name='curr_relationship_f') op.drop_index(op.f('ix_curr_relationship_f_id'), table_name='curr_relationship_f') op.drop_table('curr_relationship_f') op.drop_index('sct_curr_referencesetdescriptorrefset_f_index_effective_time', table_name='curr_referencesetdescriptorrefset_f') op.drop_table('curr_referencesetdescriptorrefset_f') op.drop_index('sct_curr_queryspecificationrefset_f_index_effective_time', table_name='curr_queryspecificationrefset_f') op.drop_table('curr_queryspecificationrefset_f') op.drop_index('sct_curr_orderedrefset_f_index_effective_time', table_name='curr_orderedrefset_f') op.drop_table('curr_orderedrefset_f') op.drop_index('sct_curr_moduledependencyrefset_f_index_effective_time', table_name='curr_moduledependencyrefset_f') op.drop_table('curr_moduledependencyrefset_f') op.drop_index('sct_curr_langrefset_f_index_effective_time', table_name='curr_langrefset_f') op.drop_table('curr_langrefset_f') op.drop_index('sct_curr_extendedmaprefset_f_index_effective_time', table_name='curr_extendedmaprefset_f') op.drop_table('curr_extendedmaprefset_f') op.drop_index('sct_curr_descriptionformatrefset_f_index_effective_time', table_name='curr_descriptionformatrefset_f') op.drop_table('curr_descriptionformatrefset_f') op.drop_index('sct_curr_description_f_index_effective_time', table_name='curr_description_f') op.drop_index(op.f('ix_curr_description_f_id'), table_name='curr_description_f') op.drop_table('curr_description_f') op.drop_index('sct_curr_concept_f_index_effective_time', table_name='curr_concept_f') op.drop_index(op.f('ix_curr_concept_f_id'), table_name='curr_concept_f') op.drop_table('curr_concept_f') op.drop_index('sct_curr_complexmaprefset_f_index_effective_time', table_name='curr_complexmaprefset_f') op.drop_table('curr_complexmaprefset_f') op.drop_index('sct_curr_attributevaluerefset_f_index_effective_time', table_name='curr_attributevaluerefset_f') op.drop_table('curr_attributevaluerefset_f') op.drop_index('sct_curr_associationrefset_f_index_effective_time', table_name='curr_associationrefset_f') op.drop_table('curr_associationrefset_f') op.drop_index('sct_curr_annotationrefset_f_index_effective_time', table_name='curr_annotationrefset_f') op.drop_table('curr_annotationrefset_f') ### end Alembic commands ###

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fa7a71794cb0bc9a11be0bbedaf4e8205534a98b

11,983

py

Python

tests/test_wms.py

MelinaAb/geoengine-python

838fa2fd5c2602284d8a3391f2e8cddeae07da33

[ "Apache-2.0" ]

3

2021-07-27T18:00:47.000Z

2021-11-10T16:02:06.000Z

tests/test_wms.py

geo-engine/geoengine-python

f785e67b4a4ab2a39f93a7b875f41119d23a212f

[ "Apache-2.0" ]

43

2021-06-09T10:34:27.000Z

2022-03-29T09:05:11.000Z

tests/test_wms.py

MelinaAb/geoengine-python

838fa2fd5c2602284d8a3391f2e8cddeae07da33

[ "Apache-2.0" ]

2

2021-08-13T13:16:11.000Z

2022-03-29T08:03:37.000Z

'''Tests for WMS calls''' from datetime import datetime import unittest import textwrap from PIL import Image import requests_mock from geoengine.types import QueryRectangle import geoengine as ge class WmsTests(unittest.TestCase): '''WMS test runner''' def setUp(self) -> None: ge.reset(False) def test_ndvi_image(self): with requests_mock.Mocker() as m,\ open("tests/responses/wms-ndvi.png", "rb") as ndvi_png,\ open("tests/responses/4326.gml", "rb") as epsg4326_gml: m.post('http://mock-instance/anonymous', json={ "id": "c4983c3e-9b53-47ae-bda9-382223bd5081", "project": None, "view": None }) m.post('http://mock-instance/workflow', json={ "id": "5b9508a8-bd34-5a1c-acd6-75bb832d2d38" }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) m.get('http://mock-instance/workflow/5b9508a8-bd34-5a1c-acd6-75bb832d2d38/metadata', json={ "type": "raster", "dataType": "U8", "spatialReference": "EPSG:4326", "measurement": { "type": "unitless" }, "noDataValue": 0.0 }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) m.get('http://epsg.io/4326.gml?download', body=epsg4326_gml) # Unfortunately, we need a separate library to catch the request from the WMS call with open("tests/responses/wms_capabilities.xml", "r", encoding="utf-8") as wms_capabilities: m.get( # pylint: disable=line-too-long 'http://mock-instance/wms/5b9508a8-bd34-5a1c-acd6-75bb832d2d38?service=WMS&request=GetCapabilities&version=1.3.0', text=wms_capabilities.read()) m.get( # pylint: disable=line-too-long 'http://mock-instance/wms/5b9508a8-bd34-5a1c-acd6-75bb832d2d38?service=WMS&version=1.3.0&request=GetMap&layers=5b9508a8-bd34-5a1c-acd6-75bb832d2d38&time=2014-04-01T12%3A00%3A00.000%2B00%3A00&crs=EPSG%3A4326&bbox=-90.0%2C-180.0%2C90.0%2C180.0&width=200&height=100&format=image%2Fpng&styles=custom%3A%7B%22type%22%3A+%22linearGradient%22%2C+%22breakpoints%22%3A+%5B%7B%22value%22%3A+0%2C+%22color%22%3A+%5B0%2C+0%2C+0%2C+255%5D%7D%2C+%7B%22value%22%3A+255%2C+%22color%22%3A+%5B255%2C+255%2C+255%2C+255%5D%7D%5D%2C+%22noDataColor%22%3A+%5B0%2C+0%2C+0%2C+0%5D%2C+%22defaultColor%22%3A+%5B0%2C+0%2C+0%2C+0%5D%7D', body=ndvi_png, ) ge.initialize("http://mock-instance") workflow_definition = { "type": "Raster", "operator": { "type": "GdalSource", "params": { "dataset": { "type": "internal", "datasetId": "36574dc3-560a-4b09-9d22-d5945f2b8093" } } } } time = datetime.strptime( '2014-04-01T12:00:00.000Z', "%Y-%m-%dT%H:%M:%S.%f%z") workflow = ge.register_workflow(workflow_definition) img = workflow.wms_get_map_as_image( QueryRectangle( [-180.0, -90.0, 180.0, 90.0], [time, time], resolution=(1.8, 1.8) ), colorizer_min_max=(0, 255) ) self.assertEqual(img, Image.open("tests/responses/wms-ndvi.png")) def test_image_error(self): with requests_mock.Mocker() as m,\ open("tests/responses/4326.gml", "rb") as epsg4326_gml: m.post('http://mock-instance/anonymous', json={ "id": "c4983c3e-9b53-47ae-bda9-382223bd5081", "project": None, "view": None }) m.post('http://mock-instance/workflow', json={ "id": "5b9508a8-bd34-5a1c-acd6-75bb832d2d38" }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) m.get('http://mock-instance/workflow/5b9508a8-bd34-5a1c-acd6-75bb832d2d38/metadata', json={ "type": "raster", "dataType": "U8", "spatialReference": "EPSG:4326", "measurement": { "type": "unitless" }, "noDataValue": 0.0 }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) m.get('http://epsg.io/4326.gml?download', body=epsg4326_gml) # Unfortunately, we need a separate library to catch the request from the WMS call m.get( # pylint: disable=line-too-long 'http://mock-instance/wms/5b9508a8-bd34-5a1c-acd6-75bb832d2d38?service=WMS&version=1.3.0&request=GetMap&layers=5b9508a8-bd34-5a1c-acd6-75bb832d2d38&time=2004-04-01T12%3A00%3A00.000%2B00%3A00&crs=EPSG%3A4326&bbox=-90.0%2C-180.0%2C90.0%2C180.0&width=200&height=100&format=image%2Fpng&styles=custom%3A%7B%22type%22%3A+%22linearGradient%22%2C+%22breakpoints%22%3A+%5B%7B%22value%22%3A+0%2C+%22color%22%3A+%5B0%2C+0%2C+0%2C+255%5D%7D%2C+%7B%22value%22%3A+255%2C+%22color%22%3A+%5B255%2C+255%2C+255%2C+255%5D%7D%5D%2C+%22noDataColor%22%3A+%5B0%2C+0%2C+0%2C+0%5D%2C+%22defaultColor%22%3A+%5B0%2C+0%2C+0%2C+0%5D%7D', json={ "error": "Operator", "message": 'Operator: Could not open gdal dataset for file path ' '"test_data/raster/modis_ndvi/MOD13A2_M_NDVI_2004-04-01.TIFF"' }, status_code=400, ) ge.initialize("http://mock-instance") workflow_definition = { "type": "Raster", "operator": { "type": "GdalSource", "params": { "dataset": { "type": "internal", "datasetId": "36574dc3-560a-4b09-9d22-d5945f2b8093" } } } } time = datetime.strptime( '2004-04-01T12:00:00.000Z', "%Y-%m-%dT%H:%M:%S.%f%z") workflow = ge.register_workflow(workflow_definition) with self.assertRaises(ge.GeoEngineException) as ctx: workflow.wms_get_map_as_image( QueryRectangle( [-180.0, -90.0, 180.0, 90.0], [time, time], resolution=(1.8, 1.8) ), colorizer_min_max=(0, 255) ) self.assertEqual(str(ctx.exception), 'Operator: Operator: Could not open gdal dataset for file path ' '"test_data/raster/modis_ndvi/MOD13A2_M_NDVI_2004-04-01.TIFF"') def test_wms_url(self): with requests_mock.Mocker() as m, open("tests/responses/4326.gml", "rb") as epsg4326_gml: m.post('http://mock-instance/anonymous', json={ "id": "c4983c3e-9b53-47ae-bda9-382223bd5081", "project": None, "view": None }) m.post('http://mock-instance/workflow', json={ "id": "5b9508a8-bd34-5a1c-acd6-75bb832d2d38" }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) m.get('http://mock-instance/workflow/5b9508a8-bd34-5a1c-acd6-75bb832d2d38/metadata', json={ "type": "raster", "dataType": "U8", "spatialReference": "EPSG:4326", "measurement": { "type": "unitless" }, "noDataValue": 0.0 }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) m.get('http://epsg.io/4326.gml?download', body=epsg4326_gml) ge.initialize("http://mock-instance") workflow_definition = { "type": "Raster", "operator": { "type": "GdalSource", "params": { "dataset": { "type": "internal", "datasetId": "36574dc3-560a-4b09-9d22-d5945f2b8093" } } } } time = datetime.strptime( '2014-04-01T12:00:00.000Z', "%Y-%m-%dT%H:%M:%S.%f%z") workflow = ge.register_workflow(workflow_definition) wms_curl = workflow.wms_get_map_curl(QueryRectangle( [-180.0, -90.0, 180.0, 90.0], [time, time], resolution=(1, 1), )) self.assertEqual( # pylint: disable=line-too-long wms_curl, """curl -X GET -H "Authorization: Bearer c4983c3e-9b53-47ae-bda9-382223bd5081" 'http://mock-instance/wms/5b9508a8-bd34-5a1c-acd6-75bb832d2d38?service=WMS&version=1.3.0&request=GetMap&layers=5b9508a8-bd34-5a1c-acd6-75bb832d2d38&time=2014-04-01T12%3A00%3A00.000%2B00%3A00&crs=EPSG%3A4326&bbox=-90.0%2C-180.0%2C90.0%2C180.0&width=360&height=180&format=image%2Fpng&styles='""" ) def test_result_descriptor(self): with requests_mock.Mocker() as m: m.post('http://mock-instance/anonymous', json={ "id": "c4983c3e-9b53-47ae-bda9-382223bd5081", "project": None, "view": None }) m.get('http://mock-instance/workflow/5b9508a8-bd34-5a1c-acd6-75bb832d2d38/metadata', json={ "type": "raster", "dataType": "U8", "spatialReference": "EPSG:4326", "measurement": { "type": "unitless" }, "noDataValue": 0.0 }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) m.get('http://mock-instance/workflow/foo/metadata', json={ 'error': 'NotFound', 'message': 'Not Found', }, request_headers={'Authorization': 'Bearer c4983c3e-9b53-47ae-bda9-382223bd5081'}) ge.initialize("http://mock-instance") workflow = ge.workflow_by_id( '5b9508a8-bd34-5a1c-acd6-75bb832d2d38') result_descriptor = workflow.get_result_descriptor() expected_repr = '''\ Data type: U8 Spatial Reference: EPSG:4326 Measurement: {'type': 'unitless'} No Data Value: 0.0 ''' self.assertEqual( repr(result_descriptor), textwrap.dedent(expected_repr) ) with self.assertRaises(ge.GeoEngineException) as exception: workflow = ge.workflow_by_id('foo') result_descriptor = workflow.get_result_descriptor() self.assertEqual(str(exception.exception), 'NotFound: Not Found') if __name__ == '__main__': unittest.main()

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6

faa98b768c6bf100656d84faf3d05bd6e7ae3db5

6,682

py

Python

tests/test_undos/test_coreutils/test_cp.py

joshmeranda/undo

f54581223c0c157702dda6124691bb40fa2e2b31

[ "MIT" ]

null

tests/test_undos/test_coreutils/test_cp.py

joshmeranda/undo

f54581223c0c157702dda6124691bb40fa2e2b31

[ "MIT" ]

null

tests/test_undos/test_coreutils/test_cp.py

joshmeranda/undo

f54581223c0c157702dda6124691bb40fa2e2b31

[ "MIT" ]

null

import os import shutil import unittest from undo import resolve, expand from tests.test_undos.test_coreutils import common class TestCp(unittest.TestCase): @classmethod def setUpClass(cls) -> None: if os.path.exists(common.COREUTILS_TEST_ENV_DIR): shutil.rmtree(common.COREUTILS_TEST_ENV_DIR) os.mkdir(common.COREUTILS_TEST_ENV_DIR) os.mkdir(os.path.join( common.COREUTILS_TEST_ENV_DIR, "DIR" )) cwd_bak = os.getcwd() os.chdir(common.COREUTILS_TEST_ENV_DIR) cls.addClassCleanup(shutil.rmtree, common.COREUTILS_TEST_ENV_DIR) cls.addClassCleanup(os.chdir, cwd_bak) def test_copy_single(self): command = "cp SRC DST" expected = [] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) expected = ["rm DST"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, True, "sh")] self.assertListEqual(expected, actual) def test_copy_single_precise(self): command = "cp --no-clobber SRC DST" expected = ["rm DST"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) def test_copy_single_with_no_target_directory(self): command = "cp -T SRC DST" expected = [] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) expected = ["rm DST"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, True, "sh")] self.assertListEqual(expected, actual) def test_copy_single__with_no_target_directory_precise(self): command = "cp -T --no-clobber SRC DST" expected = ["rm DST"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) def test_copy_single_into_dir(self): command = "cp A DIR" expected = [] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) expected = ["rm DIR/A"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, True, "sh")] self.assertListEqual(expected, actual) def test_copy_single_into_dir_precise(self): command = "cp --no-clobber A DIR" expected = ["rm DIR/A"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) def test_copy_many_into_dir(self): command = "cp A B C DIR" expected = [] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) expected = ["rm DIR/A DIR/B DIR/C"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, True, "sh")] self.assertListEqual(expected, actual) def test_copy_many_into_dir_precise(self): command = "cp --no-clobber A B C DIR" expected = ["rm DIR/A DIR/B DIR/C"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) def test_copy_single_into_target_dir(self): command = "cp --target-directory DIR A" expected = [] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) expected = ["rm DIR/A"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, True, "sh")] self.assertListEqual(expected, actual) def test_copy_single_into_target_dir_precise(self): command = "cp --no-clobber --target-directory DIR A" expected = ["rm DIR/A"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) def test_copy_many_into_target_dir(self): command = "cp --target-directory DIR A B C" expected = [] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) expected = ["rm DIR/A DIR/B DIR/C"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, True, "sh")] self.assertListEqual(expected, actual) def test_copy_many_into_target_dir_precise(self): command = "cp --no-clobber --target-directory DIR A B C" expected = ["rm DIR/A DIR/B DIR/C"] actual = [expand.expand(undo, env, ("%", "%"), "; ") for env, undo in resolve.resolve(command, [common.COREUTILS_UNDO_DIR], False, False, "sh")] self.assertListEqual(expected, actual) if __name__ == '__main__': unittest.main()

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745

6,682

4.903356

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0.098549

0.088694

0.108404

0.915138

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0.836846

0.820422

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0.292876

6,682

193

93

34.621762

0.773122

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0

0.140741

0

null

0

1

0

null

0

6

fade17006e6552887b4af145cf38458f2635eaba

22

py

Python

src/vsql/__init__.py

GlobalMaksimum/ipython-vsql

856f2640346572582e7ce72690f6c11247aa735b

[ "MIT" ]

2

2019-12-19T06:22:06.000Z

2021-05-29T16:19:46.000Z

src/vsql/__init__.py

GlobalMaksimum/ipython-vsql

856f2640346572582e7ce72690f6c11247aa735b

[ "MIT" ]

null

src/vsql/__init__.py

GlobalMaksimum/ipython-vsql

856f2640346572582e7ce72690f6c11247aa735b

[ "MIT" ]

null

from .vmagic import *

11

21

0.727273

3

22

5.333333

1

0

0.181818

22

1

22

0.888889

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

fae8868e152d889375743c057d4728960aa93a21

123

py

Python

agn_utils/batch_processing/__init__.py

avivajpeyi/agn_phenomenological_model

94d2e39f43cb11986d0abcb33769ee1aa501ca85

[ "MIT" ]

null

agn_utils/batch_processing/__init__.py

avivajpeyi/agn_phenomenological_model

94d2e39f43cb11986d0abcb33769ee1aa501ca85

[ "MIT" ]

null

agn_utils/batch_processing/__init__.py

avivajpeyi/agn_phenomenological_model

94d2e39f43cb11986d0abcb33769ee1aa501ca85

[ "MIT" ]

1

2021-08-22T07:05:15.000Z

from .mutipool_jobs import run_function_with_multiprocess from .python_script_dag_creator import create_python_script_jobs

41

64

0.918699

18

123

5.722222

0.722222

0.23301

0

0.065041

123

2

65

61.5

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true

0

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null

0

1

0

1

0

1

0

6

4f05fdfa7e5c7be00d1179c5fa51eb122d373027

59

py

Python

carp_api/common/__init__.py

Drachenfels/carp-api

b7f280a645d5116d85dc7cd1d177b449704457de

[ "MIT" ]

null

carp_api/common/__init__.py

Drachenfels/carp-api

b7f280a645d5116d85dc7cd1d177b449704457de

[ "MIT" ]

null

carp_api/common/__init__.py

Drachenfels/carp-api

b7f280a645d5116d85dc7cd1d177b449704457de

[ "MIT" ]

null

from . import logic # NOQA from . import endpoint # NOQA

19.666667

30

0.694915

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0.237288

59

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true

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null

0

1

0

1

0

1

0

6

4f0d7a4a95078aff0e8ebfb00e2717ed7e6edf93

37,881

py

Python

instances/passenger_demand/pas-20210421-2109-int14000000000000001e/61.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

instances/passenger_demand/pas-20210421-2109-int14000000000000001e/61.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

instances/passenger_demand/pas-20210421-2109-int14000000000000001e/61.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

""" PASSENGERS """ numPassengers = 3176 passenger_arriving = ( (3, 3, 8, 3, 5, 0, 12, 7, 7, 7, 1, 0), # 0 (2, 8, 6, 7, 2, 0, 8, 10, 8, 5, 1, 0), # 1 (2, 5, 4, 4, 4, 0, 4, 13, 5, 3, 3, 0), # 2 (3, 7, 5, 6, 4, 0, 3, 11, 6, 0, 2, 0), # 3 (5, 7, 6, 1, 3, 0, 9, 10, 7, 7, 1, 0), # 4 (3, 10, 3, 3, 3, 0, 8, 7, 5, 12, 6, 0), # 5 (3, 7, 4, 3, 1, 0, 8, 11, 6, 3, 5, 0), # 6 (5, 3, 7, 2, 1, 0, 8, 7, 8, 1, 4, 0), # 7 (7, 12, 7, 7, 2, 0, 8, 6, 9, 6, 6, 0), # 8 (3, 4, 4, 2, 0, 0, 9, 11, 8, 1, 4, 0), # 9 (3, 8, 9, 3, 1, 0, 4, 10, 5, 1, 5, 0), # 10 (6, 6, 8, 2, 3, 0, 8, 6, 8, 2, 1, 0), # 11 (0, 8, 7, 1, 1, 0, 7, 16, 1, 6, 5, 0), # 12 (2, 10, 3, 4, 1, 0, 7, 9, 6, 8, 1, 0), # 13 (7, 6, 7, 3, 4, 0, 5, 7, 6, 3, 1, 0), # 14 (1, 8, 7, 3, 0, 0, 6, 9, 7, 2, 0, 0), # 15 (4, 11, 10, 2, 2, 0, 9, 8, 5, 7, 0, 0), # 16 (5, 12, 6, 8, 3, 0, 8, 6, 10, 8, 1, 0), # 17 (4, 9, 6, 5, 0, 0, 8, 7, 2, 3, 0, 0), # 18 (1, 14, 3, 4, 2, 0, 6, 10, 7, 4, 5, 0), # 19 (3, 10, 9, 5, 2, 0, 7, 3, 3, 5, 1, 0), # 20 (2, 15, 13, 8, 1, 0, 6, 12, 6, 3, 3, 0), # 21 (1, 11, 4, 5, 1, 0, 5, 4, 2, 9, 3, 0), # 22 (2, 9, 9, 2, 2, 0, 7, 14, 3, 5, 6, 0), # 23 (6, 8, 10, 2, 2, 0, 10, 11, 5, 6, 1, 0), # 24 (4, 8, 7, 2, 0, 0, 8, 7, 7, 3, 4, 0), # 25 (4, 10, 7, 1, 3, 0, 7, 6, 4, 4, 2, 0), # 26 (3, 10, 6, 4, 1, 0, 4, 15, 7, 5, 1, 0), # 27 (3, 9, 6, 2, 2, 0, 11, 8, 5, 2, 1, 0), # 28 (6, 5, 11, 4, 3, 0, 7, 5, 8, 3, 2, 0), # 29 (1, 14, 7, 5, 0, 0, 7, 10, 7, 7, 4, 0), # 30 (5, 8, 1, 1, 0, 0, 8, 11, 6, 5, 4, 0), # 31 (2, 8, 6, 2, 1, 0, 9, 6, 3, 5, 1, 0), # 32 (4, 14, 10, 6, 4, 0, 10, 12, 6, 3, 3, 0), # 33 (4, 10, 10, 1, 2, 0, 9, 15, 5, 6, 1, 0), # 34 (7, 15, 5, 4, 1, 0, 8, 14, 7, 3, 0, 0), # 35 (3, 8, 6, 4, 0, 0, 2, 12, 7, 6, 3, 0), # 36 (3, 13, 4, 4, 1, 0, 4, 13, 6, 3, 5, 0), # 37 (2, 9, 12, 6, 0, 0, 2, 9, 9, 4, 3, 0), # 38 (4, 8, 8, 3, 3, 0, 8, 13, 5, 5, 2, 0), # 39 (1, 9, 7, 5, 1, 0, 3, 8, 7, 6, 1, 0), # 40 (4, 14, 6, 9, 0, 0, 9, 9, 6, 7, 3, 0), # 41 (3, 9, 8, 1, 3, 0, 8, 9, 11, 5, 4, 0), # 42 (5, 14, 9, 6, 1, 0, 5, 4, 6, 3, 4, 0), # 43 (7, 15, 9, 2, 4, 0, 8, 4, 6, 6, 2, 0), # 44 (2, 9, 5, 2, 1, 0, 6, 13, 5, 7, 0, 0), # 45 (4, 7, 10, 3, 1, 0, 8, 6, 5, 6, 1, 0), # 46 (2, 11, 12, 4, 3, 0, 8, 5, 5, 8, 4, 0), # 47 (7, 9, 7, 3, 1, 0, 6, 6, 2, 7, 1, 0), # 48 (1, 9, 12, 4, 2, 0, 3, 4, 11, 1, 1, 0), # 49 (4, 8, 8, 2, 1, 0, 10, 10, 5, 3, 7, 0), # 50 (4, 7, 12, 4, 1, 0, 4, 7, 3, 6, 1, 0), # 51 (0, 15, 5, 1, 3, 0, 4, 4, 1, 2, 1, 0), # 52 (6, 7, 4, 3, 1, 0, 5, 9, 9, 3, 1, 0), # 53 (3, 8, 8, 9, 2, 0, 4, 8, 8, 5, 4, 0), # 54 (6, 3, 5, 8, 1, 0, 2, 8, 8, 3, 1, 0), # 55 (9, 8, 4, 7, 0, 0, 5, 6, 6, 5, 5, 0), # 56 (1, 10, 8, 2, 1, 0, 5, 12, 11, 4, 1, 0), # 57 (5, 7, 5, 6, 2, 0, 5, 5, 4, 2, 5, 0), # 58 (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 59 ) station_arriving_intensity = ( (3.7095121817383676, 9.515044981060607, 11.19193043059126, 8.87078804347826, 10.000240384615385, 6.659510869565219), # 0 (3.7443308140669203, 9.620858238197952, 11.252381752534994, 8.920190141908213, 10.075193108974359, 6.657240994867151), # 1 (3.7787518681104277, 9.725101964085297, 11.31139817195087, 8.968504830917876, 10.148564102564103, 6.654901690821256), # 2 (3.8127461259877085, 9.827663671875001, 11.368936576156813, 9.01569089673913, 10.22028605769231, 6.652493274456523), # 3 (3.8462843698175795, 9.928430874719417, 11.424953852470724, 9.061707125603865, 10.290291666666668, 6.6500160628019325), # 4 (3.879337381718857, 10.027291085770905, 11.479406888210512, 9.106512303743962, 10.358513621794872, 6.647470372886473), # 5 (3.9118759438103607, 10.12413181818182, 11.53225257069409, 9.150065217391306, 10.424884615384617, 6.644856521739131), # 6 (3.943870838210907, 10.218840585104518, 11.58344778723936, 9.19232465277778, 10.489337339743592, 6.64217482638889), # 7 (3.975292847039314, 10.311304899691358, 11.632949425164242, 9.233249396135266, 10.551804487179488, 6.639425603864735), # 8 (4.006112752414399, 10.401412275094698, 11.680714371786634, 9.272798233695653, 10.61221875, 6.636609171195653), # 9 (4.03630133645498, 10.489050224466892, 11.72669951442445, 9.310929951690824, 10.670512820512823, 6.633725845410628), # 10 (4.065829381279876, 10.5741062609603, 11.7708617403956, 9.347603336352659, 10.726619391025642, 6.630775943538648), # 11 (4.094667669007903, 10.656467897727273, 11.813157937017996, 9.382777173913043, 10.780471153846154, 6.627759782608695), # 12 (4.122786981757876, 10.736022647920176, 11.85354499160954, 9.416410250603866, 10.832000801282053, 6.624677679649759), # 13 (4.15015810164862, 10.81265802469136, 11.891979791488144, 9.448461352657004, 10.881141025641025, 6.621529951690821), # 14 (4.1767518107989465, 10.886261541193182, 11.928419223971721, 9.478889266304348, 10.92782451923077, 6.618316915760871), # 15 (4.202538891327675, 10.956720710578002, 11.96282017637818, 9.507652777777778, 10.971983974358976, 6.61503888888889), # 16 (4.227490125353625, 11.023923045998176, 11.995139536025421, 9.53471067330918, 11.013552083333336, 6.611696188103866), # 17 (4.25157629499561, 11.087756060606061, 12.025334190231364, 9.560021739130436, 11.052461538461543, 6.608289130434783), # 18 (4.274768182372451, 11.148107267554012, 12.053361026313912, 9.58354476147343, 11.088645032051284, 6.604818032910629), # 19 (4.297036569602966, 11.204864179994388, 12.079176931590974, 9.60523852657005, 11.122035256410259, 6.601283212560387), # 20 (4.318352238805971, 11.257914311079544, 12.102738793380466, 9.625061820652174, 11.152564903846153, 6.597684986413044), # 21 (4.338685972100283, 11.307145173961842, 12.124003499000287, 9.642973429951692, 11.180166666666667, 6.5940236714975855), # 22 (4.358008551604722, 11.352444281793632, 12.142927935768354, 9.658932140700484, 11.204773237179488, 6.590299584842997), # 23 (4.3762907594381035, 11.393699147727272, 12.159468991002571, 9.672896739130437, 11.226317307692307, 6.586513043478261), # 24 (4.393503377719247, 11.430797284915124, 12.173583552020853, 9.684826011473431, 11.244731570512819, 6.582664364432368), # 25 (4.409617188566969, 11.46362620650954, 12.185228506141103, 9.694678743961353, 11.259948717948719, 6.5787538647343), # 26 (4.424602974100088, 11.492073425662877, 12.194360740681233, 9.702413722826089, 11.271901442307694, 6.574781861413045), # 27 (4.438431516437421, 11.516026455527497, 12.200937142959157, 9.707989734299519, 11.280522435897437, 6.570748671497586), # 28 (4.4510735976977855, 11.535372809255753, 12.204914600292774, 9.711365564613528, 11.285744391025641, 6.566654612016909), # 29 (4.4625, 11.55, 12.20625, 9.7125, 11.287500000000001, 6.562500000000001), # 30 (4.47319183983376, 11.56215031960227, 12.205248928140096, 9.712295118464054, 11.286861125886526, 6.556726763701484), # 31 (4.4836528452685425, 11.574140056818184, 12.202274033816424, 9.711684477124184, 11.28495815602837, 6.547834661835751), # 32 (4.493887715792838, 11.585967720170455, 12.197367798913046, 9.710674080882354, 11.281811569148937, 6.535910757121439), # 33 (4.503901150895141, 11.597631818181819, 12.19057270531401, 9.709269934640524, 11.277441843971632, 6.521042112277196), # 34 (4.513697850063939, 11.609130859374998, 12.181931234903383, 9.707478043300654, 11.27186945921986, 6.503315790021656), # 35 (4.523282512787724, 11.62046335227273, 12.171485869565219, 9.705304411764708, 11.265114893617023, 6.482818853073463), # 36 (4.532659838554988, 11.631627805397729, 12.159279091183576, 9.70275504493464, 11.257198625886524, 6.4596383641512585), # 37 (4.5418345268542195, 11.642622727272729, 12.145353381642513, 9.699835947712419, 11.248141134751775, 6.433861385973679), # 38 (4.5508112771739135, 11.653446626420456, 12.129751222826087, 9.696553125000001, 11.23796289893617, 6.40557498125937), # 39 (4.559594789002558, 11.664098011363638, 12.11251509661836, 9.692912581699348, 11.22668439716312, 6.37486621272697), # 40 (4.568189761828645, 11.674575390625, 12.093687484903382, 9.68892032271242, 11.214326108156028, 6.34182214309512), # 41 (4.576600895140665, 11.684877272727276, 12.07331086956522, 9.684582352941177, 11.2009085106383, 6.3065298350824595), # 42 (4.584832888427111, 11.69500216619318, 12.051427732487923, 9.679904677287583, 11.186452083333334, 6.26907635140763), # 43 (4.592890441176471, 11.704948579545455, 12.028080555555556, 9.674893300653595, 11.17097730496454, 6.229548754789272), # 44 (4.600778252877237, 11.714715021306818, 12.003311820652177, 9.669554227941177, 11.15450465425532, 6.188034107946028), # 45 (4.6085010230179035, 11.724300000000003, 11.97716400966184, 9.663893464052288, 11.137054609929079, 6.144619473596536), # 46 (4.616063451086957, 11.733702024147728, 11.9496796044686, 9.65791701388889, 11.118647650709221, 6.099391914459438), # 47 (4.623470236572891, 11.742919602272728, 11.920901086956523, 9.651630882352942, 11.099304255319149, 6.052438493253375), # 48 (4.630726078964194, 11.751951242897727, 11.890870939009663, 9.645041074346407, 11.079044902482272, 6.003846272696985), # 49 (4.6378356777493615, 11.760795454545454, 11.85963164251208, 9.638153594771243, 11.057890070921987, 5.953702315508913), # 50 (4.6448037324168805, 11.769450745738636, 11.827225679347826, 9.630974448529413, 11.035860239361703, 5.902093684407797), # 51 (4.651634942455243, 11.777915625, 11.793695531400965, 9.623509640522876, 11.012975886524824, 5.849107442112278), # 52 (4.658334007352941, 11.786188600852274, 11.759083680555555, 9.615765175653596, 10.989257491134753, 5.794830651340996), # 53 (4.6649056265984665, 11.79426818181818, 11.723432608695653, 9.60774705882353, 10.964725531914894, 5.739350374812594), # 54 (4.671354499680307, 11.802152876420456, 11.686784797705313, 9.599461294934642, 10.939400487588653, 5.682753675245711), # 55 (4.677685326086957, 11.809841193181818, 11.649182729468599, 9.59091388888889, 10.913302836879433, 5.625127615358988), # 56 (4.683902805306906, 11.817331640625003, 11.610668885869565, 9.582110845588236, 10.886453058510638, 5.566559257871065), # 57 (4.690011636828645, 11.824622727272727, 11.57128574879227, 9.573058169934642, 10.858871631205675, 5.507135665500583), # 58 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59 ) passenger_arriving_acc = ( (3, 3, 8, 3, 5, 0, 12, 7, 7, 7, 1, 0), # 0 (5, 11, 14, 10, 7, 0, 20, 17, 15, 12, 2, 0), # 1 (7, 16, 18, 14, 11, 0, 24, 30, 20, 15, 5, 0), # 2 (10, 23, 23, 20, 15, 0, 27, 41, 26, 15, 7, 0), # 3 (15, 30, 29, 21, 18, 0, 36, 51, 33, 22, 8, 0), # 4 (18, 40, 32, 24, 21, 0, 44, 58, 38, 34, 14, 0), # 5 (21, 47, 36, 27, 22, 0, 52, 69, 44, 37, 19, 0), # 6 (26, 50, 43, 29, 23, 0, 60, 76, 52, 38, 23, 0), # 7 (33, 62, 50, 36, 25, 0, 68, 82, 61, 44, 29, 0), # 8 (36, 66, 54, 38, 25, 0, 77, 93, 69, 45, 33, 0), # 9 (39, 74, 63, 41, 26, 0, 81, 103, 74, 46, 38, 0), # 10 (45, 80, 71, 43, 29, 0, 89, 109, 82, 48, 39, 0), # 11 (45, 88, 78, 44, 30, 0, 96, 125, 83, 54, 44, 0), # 12 (47, 98, 81, 48, 31, 0, 103, 134, 89, 62, 45, 0), # 13 (54, 104, 88, 51, 35, 0, 108, 141, 95, 65, 46, 0), # 14 (55, 112, 95, 54, 35, 0, 114, 150, 102, 67, 46, 0), # 15 (59, 123, 105, 56, 37, 0, 123, 158, 107, 74, 46, 0), # 16 (64, 135, 111, 64, 40, 0, 131, 164, 117, 82, 47, 0), # 17 (68, 144, 117, 69, 40, 0, 139, 171, 119, 85, 47, 0), # 18 (69, 158, 120, 73, 42, 0, 145, 181, 126, 89, 52, 0), # 19 (72, 168, 129, 78, 44, 0, 152, 184, 129, 94, 53, 0), # 20 (74, 183, 142, 86, 45, 0, 158, 196, 135, 97, 56, 0), # 21 (75, 194, 146, 91, 46, 0, 163, 200, 137, 106, 59, 0), # 22 (77, 203, 155, 93, 48, 0, 170, 214, 140, 111, 65, 0), # 23 (83, 211, 165, 95, 50, 0, 180, 225, 145, 117, 66, 0), # 24 (87, 219, 172, 97, 50, 0, 188, 232, 152, 120, 70, 0), # 25 (91, 229, 179, 98, 53, 0, 195, 238, 156, 124, 72, 0), # 26 (94, 239, 185, 102, 54, 0, 199, 253, 163, 129, 73, 0), # 27 (97, 248, 191, 104, 56, 0, 210, 261, 168, 131, 74, 0), # 28 (103, 253, 202, 108, 59, 0, 217, 266, 176, 134, 76, 0), # 29 (104, 267, 209, 113, 59, 0, 224, 276, 183, 141, 80, 0), # 30 (109, 275, 210, 114, 59, 0, 232, 287, 189, 146, 84, 0), # 31 (111, 283, 216, 116, 60, 0, 241, 293, 192, 151, 85, 0), # 32 (115, 297, 226, 122, 64, 0, 251, 305, 198, 154, 88, 0), # 33 (119, 307, 236, 123, 66, 0, 260, 320, 203, 160, 89, 0), # 34 (126, 322, 241, 127, 67, 0, 268, 334, 210, 163, 89, 0), # 35 (129, 330, 247, 131, 67, 0, 270, 346, 217, 169, 92, 0), # 36 (132, 343, 251, 135, 68, 0, 274, 359, 223, 172, 97, 0), # 37 (134, 352, 263, 141, 68, 0, 276, 368, 232, 176, 100, 0), # 38 (138, 360, 271, 144, 71, 0, 284, 381, 237, 181, 102, 0), # 39 (139, 369, 278, 149, 72, 0, 287, 389, 244, 187, 103, 0), # 40 (143, 383, 284, 158, 72, 0, 296, 398, 250, 194, 106, 0), # 41 (146, 392, 292, 159, 75, 0, 304, 407, 261, 199, 110, 0), # 42 (151, 406, 301, 165, 76, 0, 309, 411, 267, 202, 114, 0), # 43 (158, 421, 310, 167, 80, 0, 317, 415, 273, 208, 116, 0), # 44 (160, 430, 315, 169, 81, 0, 323, 428, 278, 215, 116, 0), # 45 (164, 437, 325, 172, 82, 0, 331, 434, 283, 221, 117, 0), # 46 (166, 448, 337, 176, 85, 0, 339, 439, 288, 229, 121, 0), # 47 (173, 457, 344, 179, 86, 0, 345, 445, 290, 236, 122, 0), # 48 (174, 466, 356, 183, 88, 0, 348, 449, 301, 237, 123, 0), # 49 (178, 474, 364, 185, 89, 0, 358, 459, 306, 240, 130, 0), # 50 (182, 481, 376, 189, 90, 0, 362, 466, 309, 246, 131, 0), # 51 (182, 496, 381, 190, 93, 0, 366, 470, 310, 248, 132, 0), # 52 (188, 503, 385, 193, 94, 0, 371, 479, 319, 251, 133, 0), # 53 (191, 511, 393, 202, 96, 0, 375, 487, 327, 256, 137, 0), # 54 (197, 514, 398, 210, 97, 0, 377, 495, 335, 259, 138, 0), # 55 (206, 522, 402, 217, 97, 0, 382, 501, 341, 264, 143, 0), # 56 (207, 532, 410, 219, 98, 0, 387, 513, 352, 268, 144, 0), # 57 (212, 539, 415, 225, 100, 0, 392, 518, 356, 270, 149, 0), # 58 (212, 539, 415, 225, 100, 0, 392, 518, 356, 270, 149, 0), # 59 ) passenger_arriving_rate = ( (3.7095121817383676, 7.612035984848484, 6.715158258354756, 3.5483152173913037, 2.000048076923077, 0.0, 6.659510869565219, 8.000192307692307, 5.322472826086956, 4.476772172236504, 1.903008996212121, 0.0), # 0 (3.7443308140669203, 7.696686590558361, 6.751429051520996, 3.5680760567632848, 2.0150386217948717, 0.0, 6.657240994867151, 8.060154487179487, 5.352114085144928, 4.500952701013997, 1.9241716476395903, 0.0), # 1 (3.7787518681104277, 7.780081571268237, 6.786838903170522, 3.58740193236715, 2.0297128205128203, 0.0, 6.654901690821256, 8.118851282051281, 5.381102898550726, 4.524559268780347, 1.9450203928170593, 0.0), # 2 (3.8127461259877085, 7.8621309375, 6.821361945694087, 3.6062763586956517, 2.044057211538462, 0.0, 6.652493274456523, 8.176228846153847, 5.409414538043478, 4.547574630462725, 1.965532734375, 0.0), # 3 (3.8462843698175795, 7.942744699775533, 6.854972311482434, 3.624682850241546, 2.0580583333333333, 0.0, 6.6500160628019325, 8.232233333333333, 5.437024275362319, 4.569981540988289, 1.9856861749438832, 0.0), # 4 (3.879337381718857, 8.021832868616723, 6.887644132926307, 3.6426049214975844, 2.0717027243589743, 0.0, 6.647470372886473, 8.286810897435897, 5.463907382246377, 4.591762755284204, 2.005458217154181, 0.0), # 5 (3.9118759438103607, 8.099305454545455, 6.919351542416455, 3.660026086956522, 2.084976923076923, 0.0, 6.644856521739131, 8.339907692307692, 5.490039130434783, 4.612901028277636, 2.0248263636363637, 0.0), # 6 (3.943870838210907, 8.175072468083613, 6.950068672343615, 3.6769298611111116, 2.0978674679487184, 0.0, 6.64217482638889, 8.391469871794873, 5.515394791666668, 4.633379114895743, 2.043768117020903, 0.0), # 7 (3.975292847039314, 8.249043919753085, 6.979769655098544, 3.693299758454106, 2.1103608974358976, 0.0, 6.639425603864735, 8.44144358974359, 5.5399496376811594, 4.653179770065696, 2.062260979938271, 0.0), # 8 (4.006112752414399, 8.321129820075758, 7.00842862307198, 3.709119293478261, 2.12244375, 0.0, 6.636609171195653, 8.489775, 5.563678940217391, 4.672285748714653, 2.0802824550189394, 0.0), # 9 (4.03630133645498, 8.391240179573513, 7.03601970865467, 3.724371980676329, 2.134102564102564, 0.0, 6.633725845410628, 8.536410256410257, 5.586557971014494, 4.690679805769779, 2.0978100448933783, 0.0), # 10 (4.065829381279876, 8.459285008768239, 7.06251704423736, 3.739041334541063, 2.145323878205128, 0.0, 6.630775943538648, 8.581295512820512, 5.608562001811595, 4.70834469615824, 2.1148212521920597, 0.0), # 11 (4.094667669007903, 8.525174318181818, 7.087894762210797, 3.7531108695652167, 2.156094230769231, 0.0, 6.627759782608695, 8.624376923076923, 5.6296663043478254, 4.725263174807198, 2.1312935795454546, 0.0), # 12 (4.122786981757876, 8.58881811833614, 7.112126994965724, 3.766564100241546, 2.1664001602564102, 0.0, 6.624677679649759, 8.665600641025641, 5.649846150362319, 4.741417996643816, 2.147204529584035, 0.0), # 13 (4.15015810164862, 8.650126419753088, 7.135187874892886, 3.779384541062801, 2.1762282051282047, 0.0, 6.621529951690821, 8.704912820512819, 5.669076811594202, 4.756791916595257, 2.162531604938272, 0.0), # 14 (4.1767518107989465, 8.709009232954545, 7.157051534383032, 3.7915557065217387, 2.1855649038461538, 0.0, 6.618316915760871, 8.742259615384615, 5.6873335597826085, 4.771367689588688, 2.177252308238636, 0.0), # 15 (4.202538891327675, 8.7653765684624, 7.177692105826908, 3.803061111111111, 2.194396794871795, 0.0, 6.61503888888889, 8.77758717948718, 5.7045916666666665, 4.785128070551272, 2.1913441421156, 0.0), # 16 (4.227490125353625, 8.81913843679854, 7.197083721615253, 3.8138842693236716, 2.202710416666667, 0.0, 6.611696188103866, 8.810841666666668, 5.720826403985508, 4.798055814410168, 2.204784609199635, 0.0), # 17 (4.25157629499561, 8.870204848484848, 7.215200514138818, 3.824008695652174, 2.2104923076923084, 0.0, 6.608289130434783, 8.841969230769234, 5.736013043478262, 4.810133676092545, 2.217551212121212, 0.0), # 18 (4.274768182372451, 8.918485814043208, 7.232016615788346, 3.8334179045893717, 2.2177290064102566, 0.0, 6.604818032910629, 8.870916025641026, 5.750126856884058, 4.8213444105255645, 2.229621453510802, 0.0), # 19 (4.297036569602966, 8.96389134399551, 7.247506158954584, 3.8420954106280196, 2.2244070512820517, 0.0, 6.601283212560387, 8.897628205128207, 5.76314311594203, 4.831670772636389, 2.2409728359988774, 0.0), # 20 (4.318352238805971, 9.006331448863634, 7.261643276028279, 3.8500247282608693, 2.2305129807692303, 0.0, 6.597684986413044, 8.922051923076921, 5.775037092391305, 4.841095517352186, 2.2515828622159084, 0.0), # 21 (4.338685972100283, 9.045716139169473, 7.274402099400172, 3.8571893719806765, 2.2360333333333333, 0.0, 6.5940236714975855, 8.944133333333333, 5.785784057971015, 4.849601399600115, 2.2614290347923682, 0.0), # 22 (4.358008551604722, 9.081955425434906, 7.285756761461012, 3.8635728562801934, 2.2409546474358972, 0.0, 6.590299584842997, 8.963818589743589, 5.79535928442029, 4.857171174307341, 2.2704888563587264, 0.0), # 23 (4.3762907594381035, 9.114959318181818, 7.295681394601543, 3.869158695652174, 2.2452634615384612, 0.0, 6.586513043478261, 8.981053846153845, 5.803738043478262, 4.863787596401028, 2.2787398295454544, 0.0), # 24 (4.393503377719247, 9.1446378279321, 7.304150131212511, 3.8739304045893723, 2.2489463141025636, 0.0, 6.582664364432368, 8.995785256410255, 5.810895606884059, 4.869433420808341, 2.286159456983025, 0.0), # 25 (4.409617188566969, 9.17090096520763, 7.311137103684661, 3.8778714975845405, 2.2519897435897436, 0.0, 6.5787538647343, 9.007958974358974, 5.816807246376811, 4.874091402456441, 2.2927252413019077, 0.0), # 26 (4.424602974100088, 9.193658740530301, 7.31661644440874, 3.880965489130435, 2.2543802884615385, 0.0, 6.574781861413045, 9.017521153846154, 5.821448233695653, 4.877744296272493, 2.2984146851325753, 0.0), # 27 (4.438431516437421, 9.212821164421996, 7.320562285775494, 3.8831958937198072, 2.256104487179487, 0.0, 6.570748671497586, 9.024417948717948, 5.824793840579711, 4.8803748571836625, 2.303205291105499, 0.0), # 28 (4.4510735976977855, 9.228298247404602, 7.322948760175664, 3.884546225845411, 2.257148878205128, 0.0, 6.566654612016909, 9.028595512820512, 5.826819338768117, 4.881965840117109, 2.3070745618511506, 0.0), # 29 (4.4625, 9.24, 7.32375, 3.885, 2.2575000000000003, 0.0, 6.562500000000001, 9.030000000000001, 5.8275, 4.8825, 2.31, 0.0), # 30 (4.47319183983376, 9.249720255681815, 7.323149356884057, 3.884918047385621, 2.257372225177305, 0.0, 6.556726763701484, 9.02948890070922, 5.827377071078432, 4.882099571256038, 2.312430063920454, 0.0), # 31 (4.4836528452685425, 9.259312045454546, 7.3213644202898545, 3.884673790849673, 2.2569916312056737, 0.0, 6.547834661835751, 9.027966524822695, 5.82701068627451, 4.880909613526569, 2.3148280113636366, 0.0), # 32 (4.493887715792838, 9.268774176136363, 7.3184206793478275, 3.8842696323529413, 2.2563623138297872, 0.0, 6.535910757121439, 9.025449255319149, 5.826404448529412, 4.878947119565218, 2.3171935440340907, 0.0), # 33 (4.503901150895141, 9.278105454545454, 7.314343623188405, 3.8837079738562093, 2.2554883687943263, 0.0, 6.521042112277196, 9.021953475177305, 5.825561960784314, 4.876229082125604, 2.3195263636363634, 0.0), # 34 (4.513697850063939, 9.287304687499997, 7.3091587409420296, 3.882991217320261, 2.2543738918439717, 0.0, 6.503315790021656, 9.017495567375887, 5.824486825980392, 4.872772493961353, 2.3218261718749993, 0.0), # 35 (4.523282512787724, 9.296370681818182, 7.302891521739131, 3.8821217647058828, 2.253022978723404, 0.0, 6.482818853073463, 9.012091914893617, 5.823182647058824, 4.868594347826087, 2.3240926704545455, 0.0), # 36 (4.532659838554988, 9.305302244318183, 7.295567454710145, 3.881102017973856, 2.2514397251773044, 0.0, 6.4596383641512585, 9.005758900709218, 5.821653026960784, 4.86371163647343, 2.3263255610795457, 0.0), # 37 (4.5418345268542195, 9.314098181818181, 7.287212028985508, 3.8799343790849674, 2.249628226950355, 0.0, 6.433861385973679, 8.99851290780142, 5.819901568627452, 4.858141352657005, 2.3285245454545453, 0.0), # 38 (4.5508112771739135, 9.322757301136363, 7.277850733695652, 3.87862125, 2.247592579787234, 0.0, 6.40557498125937, 8.990370319148935, 5.817931875, 4.8519004891304345, 2.330689325284091, 0.0), # 39 (4.559594789002558, 9.33127840909091, 7.267509057971015, 3.8771650326797387, 2.245336879432624, 0.0, 6.37486621272697, 8.981347517730496, 5.815747549019608, 4.845006038647344, 2.3328196022727274, 0.0), # 40 (4.568189761828645, 9.3396603125, 7.256212490942029, 3.8755681290849675, 2.2428652216312055, 0.0, 6.34182214309512, 8.971460886524822, 5.813352193627452, 4.837474993961353, 2.334915078125, 0.0), # 41 (4.576600895140665, 9.34790181818182, 7.2439865217391315, 3.8738329411764707, 2.2401817021276598, 0.0, 6.3065298350824595, 8.960726808510639, 5.810749411764706, 4.829324347826088, 2.336975454545455, 0.0), # 42 (4.584832888427111, 9.356001732954544, 7.230856639492753, 3.8719618709150327, 2.2372904166666667, 0.0, 6.26907635140763, 8.949161666666667, 5.80794280637255, 4.820571092995169, 2.339000433238636, 0.0), # 43 (4.592890441176471, 9.363958863636363, 7.216848333333333, 3.8699573202614377, 2.2341954609929076, 0.0, 6.229548754789272, 8.93678184397163, 5.804935980392157, 4.811232222222222, 2.3409897159090907, 0.0), # 44 (4.600778252877237, 9.371772017045453, 7.201987092391306, 3.8678216911764705, 2.230900930851064, 0.0, 6.188034107946028, 8.923603723404256, 5.801732536764706, 4.80132472826087, 2.3429430042613633, 0.0), # 45 (4.6085010230179035, 9.379440000000002, 7.186298405797103, 3.8655573856209147, 2.2274109219858156, 0.0, 6.144619473596536, 8.909643687943262, 5.798336078431372, 4.790865603864735, 2.3448600000000006, 0.0), # 46 (4.616063451086957, 9.386961619318182, 7.16980776268116, 3.8631668055555552, 2.223729530141844, 0.0, 6.099391914459438, 8.894918120567375, 5.794750208333333, 4.77987184178744, 2.3467404048295455, 0.0), # 47 (4.623470236572891, 9.394335681818182, 7.152540652173913, 3.8606523529411763, 2.21986085106383, 0.0, 6.052438493253375, 8.87944340425532, 5.790978529411765, 4.7683604347826085, 2.3485839204545456, 0.0), # 48 (4.630726078964194, 9.401560994318181, 7.134522563405797, 3.8580164297385626, 2.2158089804964543, 0.0, 6.003846272696985, 8.863235921985817, 5.787024644607844, 4.7563483756038645, 2.3503902485795454, 0.0), # 49 (4.6378356777493615, 9.408636363636361, 7.115778985507247, 3.8552614379084966, 2.211578014184397, 0.0, 5.953702315508913, 8.846312056737588, 5.782892156862745, 4.743852657004831, 2.3521590909090904, 0.0), # 50 (4.6448037324168805, 9.415560596590907, 7.096335407608696, 3.852389779411765, 2.2071720478723407, 0.0, 5.902093684407797, 8.828688191489363, 5.778584669117648, 4.73089027173913, 2.353890149147727, 0.0), # 51 (4.651634942455243, 9.4223325, 7.0762173188405795, 3.84940385620915, 2.2025951773049646, 0.0, 5.849107442112278, 8.810380709219858, 5.774105784313726, 4.717478212560386, 2.355583125, 0.0), # 52 (4.658334007352941, 9.428950880681818, 7.055450208333333, 3.8463060702614382, 2.1978514982269504, 0.0, 5.794830651340996, 8.791405992907801, 5.769459105392158, 4.703633472222222, 2.3572377201704544, 0.0), # 53 (4.6649056265984665, 9.435414545454544, 7.034059565217391, 3.843098823529412, 2.192945106382979, 0.0, 5.739350374812594, 8.771780425531915, 5.764648235294119, 4.689373043478261, 2.358853636363636, 0.0), # 54 (4.671354499680307, 9.441722301136364, 7.012070878623187, 3.8397845179738566, 2.1878800975177306, 0.0, 5.682753675245711, 8.751520390070922, 5.759676776960785, 4.674713919082125, 2.360430575284091, 0.0), # 55 (4.677685326086957, 9.447872954545453, 6.989509637681159, 3.8363655555555556, 2.1826605673758865, 0.0, 5.625127615358988, 8.730642269503546, 5.754548333333334, 4.65967309178744, 2.361968238636363, 0.0), # 56 (4.683902805306906, 9.453865312500001, 6.966401331521738, 3.832844338235294, 2.1772906117021273, 0.0, 5.566559257871065, 8.70916244680851, 5.749266507352941, 4.644267554347826, 2.3634663281250003, 0.0), # 57 (4.690011636828645, 9.459698181818181, 6.942771449275362, 3.8292232679738563, 2.1717743262411346, 0.0, 5.507135665500583, 8.687097304964539, 5.743834901960785, 4.628514299516908, 2.3649245454545453, 0.0), # 58 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59 ) passenger_allighting_rate = ( (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 0 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 1 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 2 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 3 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 4 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 5 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 6 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 7 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 8 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 9 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 10 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 11 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 12 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 13 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 14 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 15 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 16 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 17 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 18 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 19 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 20 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 21 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 22 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 23 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 24 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 25 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 26 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 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33 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 34 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 35 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 36 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 37 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 38 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 39 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 40 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 41 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 42 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 43 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 44 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 45 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 46 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 47 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 48 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 49 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 50 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 51 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 52 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 53 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 54 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 55 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 56 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 57 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 58 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 59 ) """ parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html """ #initial entropy entropy = 258194110137029475889902652135037600173 #index for seed sequence child child_seed_index = ( 1, # 0 60, # 1 )

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87fc0cad1c70cb86e9d736cfb25933b8aa8167bb

9,259

py

Python

fbgemm_gpu/test/quantize_ops_test.py

stevenlysc/FBGEMM

e21f4d043bb5d8aea0b887bf71b28779edff48e4

[ "BSD-3-Clause" ]

null

fbgemm_gpu/test/quantize_ops_test.py

stevenlysc/FBGEMM

e21f4d043bb5d8aea0b887bf71b28779edff48e4

[ "BSD-3-Clause" ]

null

fbgemm_gpu/test/quantize_ops_test.py

stevenlysc/FBGEMM

e21f4d043bb5d8aea0b887bf71b28779edff48e4

[ "BSD-3-Clause" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import unittest import hypothesis.strategies as st import numpy as np import torch from hypothesis import HealthCheck, given, assume, settings try: # pyre-ignore[21] from fbgemm_gpu import open_source # noqa: F401 from test_utils import ( # pyre-ignore[21] fused_rowwise_8bit_quantize_reference, fused_rowwise_8bit_dequantize_reference, fused_rowwise_nbit_quantize_reference, fused_rowwise_nbit_quantize_dequantize_reference, bytes_to_half_floats, gpu_available, ) except Exception: torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops") torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops_cpu") from fbgemm_gpu.test.test_utils import ( fused_rowwise_8bit_quantize_reference, fused_rowwise_8bit_dequantize_reference, fused_rowwise_nbit_quantize_reference, fused_rowwise_nbit_quantize_dequantize_reference, bytes_to_half_floats, gpu_available, ) class TestFused8BitRowwiseQuantizationConversion(unittest.TestCase): # pyre-fixme[56]: Pyre was not able to infer the type of argument # `hypothesis.strategies.integers($parameter$min_value = 0, $parameter$max_value = # 100)` to decorator factory `hypothesis.given`. @given( nrows=st.integers(min_value=0, max_value=100), ncols=st.integers(min_value=0, max_value=100), ) @settings(deadline=10000, suppress_health_check=[HealthCheck.filter_too_much]) def test_quantize_op(self, nrows: int, ncols: int) -> None: input_data = torch.rand(nrows, ncols).float() quantized_data = torch.ops.fbgemm.FloatToFused8BitRowwiseQuantized(input_data) if nrows == 0 or ncols == 0: assert quantized_data.numel() == nrows * ((ncols + 3) // 4 * 4 + 8) return reference = fused_rowwise_8bit_quantize_reference(input_data.numpy()) np.testing.assert_array_almost_equal(quantized_data.numpy(), reference) if gpu_available: input_data_gpu = input_data.cuda() quantized_data_gpu = torch.ops.fbgemm.FloatToFused8BitRowwiseQuantized( input_data_gpu ) quantized_data_numpy = quantized_data_gpu.cpu().numpy() ncols_aligned = (ncols + 4 - 1) // 4 * 4 # compare quantized data np.testing.assert_allclose( quantized_data_numpy[:, :ncols], reference[:, :ncols] ) # compare scales np.testing.assert_array_almost_equal( quantized_data_numpy[:, ncols_aligned : ncols_aligned + 4], reference[:, ncols : ncols + 4], ) # compare zero points np.testing.assert_array_equal( quantized_data_numpy[:, ncols_aligned + 4 : ncols_aligned + 8], reference[:, ncols + 4 : ncols + 8], ) @settings(deadline=10000, suppress_health_check=[HealthCheck.filter_too_much]) def test_quantize_and_dequantize_op_cuda_large_nrows(self) -> None: ncols = 256 nrows = 65540 input_data = torch.rand(nrows, ncols).float() quantized_data = torch.ops.fbgemm.FloatToFused8BitRowwiseQuantized(input_data) reference = torch.from_numpy( fused_rowwise_8bit_dequantize_reference(quantized_data.numpy()) ) if gpu_available: input_data_gpu = input_data.cuda() quantized_data_gpu = torch.ops.fbgemm.FloatToFused8BitRowwiseQuantized( input_data_gpu ) dequantized_data_gpu = torch.ops.fbgemm.Fused8BitRowwiseQuantizedToFloat( quantized_data_gpu ) reference = torch.from_numpy( fused_rowwise_8bit_dequantize_reference( quantized_data_gpu.cpu().numpy() ) ) # compare quantized data torch.testing.assert_allclose(dequantized_data_gpu.cpu(), reference) class TestFusedNBitRowwiseQuantizationConversion(unittest.TestCase): # pyre-ignore [56]: Invalid decoration, was not able to infer the type of argument @given( nrows=st.integers(min_value=0, max_value=100), ncols=st.integers(min_value=0, max_value=100), bit_rate=st.sampled_from([2, 4]), ) @settings(deadline=10000, suppress_health_check=[HealthCheck.filter_too_much]) def test_quantize_op(self, nrows: int, ncols: int, bit_rate: int) -> None: assert 8 % bit_rate == 0 num_elem_per_byte = 8 // bit_rate assume(ncols % (2 * num_elem_per_byte) == 0) input_data = torch.rand(nrows, ncols).float() quantized_data = torch.ops.fbgemm.FloatToFusedNBitRowwiseQuantizedSBHalf( input_data, bit_rate ) if nrows == 0 or ncols == 0: assert quantized_data.numel() == nrows * ( (ncols + bit_rate - 1) // bit_rate + 4 ) return quantized_data = quantized_data.numpy() reference = fused_rowwise_nbit_quantize_reference(input_data.numpy(), bit_rate) interleaved_dim = ncols // num_elem_per_byte # compare quantized data np.testing.assert_array_equal( quantized_data[:, :interleaved_dim], reference[:, :interleaved_dim] ) # compare scales np.testing.assert_array_almost_equal( bytes_to_half_floats( quantized_data[:, interleaved_dim : interleaved_dim + 2] ), bytes_to_half_floats(reference[:, interleaved_dim : interleaved_dim + 2]), ) # compare zero points np.testing.assert_array_equal( quantized_data[:, interleaved_dim + 2], reference[:, interleaved_dim + 2] ) if gpu_available: input_data_gpu = input_data.cuda() quantized_data_gpu = torch.ops.fbgemm.FloatToFusedNBitRowwiseQuantizedSBHalf( input_data_gpu, bit_rate ) quantized_data_numpy = quantized_data_gpu.cpu().numpy() # compare quantized data np.testing.assert_array_equal( quantized_data_numpy[:, :ncols], reference[:, :ncols] ) # pyre-ignore [56]: Invalid decoration, was not able to infer the type of argument @given( nrows=st.integers(min_value=0, max_value=100), ncols=st.integers(min_value=0, max_value=100), bit_rate=st.sampled_from([2, 4]), ) @settings(deadline=10000, suppress_health_check=[HealthCheck.filter_too_much]) def test_quantize_and_dequantize_op(self, nrows: int, ncols: int, bit_rate: int) -> None: assert 8 % bit_rate == 0 num_elem_per_byte = 8 // bit_rate input_data = torch.rand(nrows, ncols).float() assume(ncols % (2 * num_elem_per_byte) == 0) quantized_data = torch.ops.fbgemm.FloatToFusedNBitRowwiseQuantizedSBHalf( input_data, bit_rate ) dequantized_data = torch.ops.fbgemm.FusedNBitRowwiseQuantizedSBHalfToFloat( quantized_data, bit_rate ) if nrows == 0 or ncols == 0: assert dequantized_data.numel() == 0 return reference = torch.from_numpy( fused_rowwise_nbit_quantize_dequantize_reference( input_data.numpy(), bit_rate ) ) torch.testing.assert_allclose(dequantized_data, reference) if gpu_available: input_data_gpu = input_data.cuda() quantized_data_gpu = torch.ops.fbgemm.FloatToFusedNBitRowwiseQuantizedSBHalf( input_data_gpu, bit_rate ) dequantized_data_gpu = torch.ops.fbgemm.FusedNBitRowwiseQuantizedSBHalfToFloat( quantized_data_gpu, bit_rate ) # compare quantized data torch.testing.assert_allclose(dequantized_data_gpu.cpu(), reference) @settings(deadline=10000, suppress_health_check=[HealthCheck.filter_too_much]) def test_quantize_and_dequantize_op_cuda_large_nrows(self) -> None: ncols = 256 bit_rate = 4 nrows = 65540 num_elem_per_byte = 8 // bit_rate input_data = torch.rand(nrows, ncols).float() assume(ncols % (2 * num_elem_per_byte) == 0) reference = torch.from_numpy( fused_rowwise_nbit_quantize_dequantize_reference( input_data.numpy(), bit_rate ) ) if gpu_available: input_data_gpu = input_data.cuda() quantized_data_gpu = torch.ops.fbgemm.FloatToFusedNBitRowwiseQuantizedSBHalf( input_data_gpu, bit_rate ) dequantized_data_gpu = torch.ops.fbgemm.FusedNBitRowwiseQuantizedSBHalfToFloat( quantized_data_gpu, bit_rate ) # compare quantized data torch.testing.assert_allclose(dequantized_data_gpu.cpu(), reference) if __name__ == "__main__": unittest.main()

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null

0

1

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null

0

6

e20407c76f671882d2d198a22dfe6f22e7096dec

428

py

Python

naturalnets/environments/__init__.py

bjuergens/NaturalNets

fd67f1b3c443761270adaf9877ed2a6358d830f0

[ "MIT" ]

null

naturalnets/environments/__init__.py

bjuergens/NaturalNets

fd67f1b3c443761270adaf9877ed2a6358d830f0

[ "MIT" ]

2

2021-04-13T11:47:01.000Z

2021-04-30T11:44:46.000Z

naturalnets/environments/__init__.py

bjuergens/NaturalNets

fd67f1b3c443761270adaf9877ed2a6358d830f0

[ "MIT" ]

1

2021-11-03T09:36:40.000Z

from naturalnets.environments.collect_points import CollectPoints from naturalnets.environments.collect_points_rays import CollectPointsRays from naturalnets.environments.gym_mujoco import GymMujoco from naturalnets.environments.reacher_memory import ReacherMemory from naturalnets.environments.gym_environments import GeneralGymEnvironment from naturalnets.environments.challenger_neural_network import ChallengerNeuralNetwork

61.142857

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0.421875

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null

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1

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6

e20b1be97e7d5d963a180af4fc8a9096fe2355c1

10,003

py

Python

tests/test_api_objects.py

nomis/pymonzo

b5c8d4f46dcb3a2f475797a8b8ef1c15f6493fb9

[ "MIT" ]

25

2017-01-21T01:03:17.000Z

2021-12-13T20:41:12.000Z

tests/test_api_objects.py

nomis/pymonzo

b5c8d4f46dcb3a2f475797a8b8ef1c15f6493fb9

[ "MIT" ]

25

2017-07-30T10:57:30.000Z

2022-03-16T08:33:01.000Z

tests/test_api_objects.py

nomis/pymonzo

b5c8d4f46dcb3a2f475797a8b8ef1c15f6493fb9

[ "MIT" ]

14

2017-02-05T01:45:49.000Z

2022-02-14T20:46:02.000Z

# -*- coding: utf-8 -*- """ Test 'pymonzo.api_objects' file """ from __future__ import unicode_literals from datetime import datetime import pytest from dateutil.parser import parse as parse_date from pymonzo import api_objects from pymonzo.utils import CommonMixin class TestMonzoObject: """ Test `api_objects.MonzoObject` class """ klass = api_objects.MonzoObject data = { 'foo': 'foo', 'bar': 'bar', } @pytest.fixture(scope='session') def instance(self): """Simple fixture that returns initialize object""" return self.klass(data=self.data) def test_class_inheritance(self, instance): """Test class inheritance""" assert isinstance(instance, api_objects.MonzoObject) assert isinstance(instance, CommonMixin) def test_class_properties(self, instance): """Test class properties""" assert self.klass._required_keys == [] assert instance._required_keys == [] def test_class_initialization(self, instance): """Test class `__init__` method""" assert instance._raw_data == self.data assert instance.foo == 'foo' assert instance.bar == 'bar' def test_class_lack_of_required_keys(self, mocker): """Test class `__init__` method when data lack one of required keys""" mocker.patch.multiple(self.klass, _required_keys='baz') with pytest.raises(ValueError): self.klass(data=self.data) class TestMonzoAccount: """ Test `api_objects.MonzoAccount` class """ klass = api_objects.MonzoAccount @pytest.fixture(scope='session') def data(self, accounts_api_response): """Simple fixture that returns data used to initialize the object""" return accounts_api_response['accounts'][0] @pytest.fixture(scope='session') def instance(self, data): """Simple fixture that returns initialize object""" return self.klass(data) def test_class_inheritance(self, instance): """Test class inheritance""" assert isinstance(instance, api_objects.MonzoAccount) assert isinstance(instance, api_objects.MonzoObject) def test_class_properties(self, instance): """Test class properties""" expected_keys = ['id', 'description', 'created'] assert self.klass._required_keys == expected_keys assert instance._required_keys == expected_keys def test_class_initialization(self, instance, data): """Test class `__init__` method""" expected_data = data.copy() assert instance._raw_data == data del instance._raw_data expected_data['created'] = parse_date(expected_data['created']) assert vars(instance) == expected_data assert isinstance(instance.created, datetime) def test_class_lack_of_required_keys(self, mocker, data): """Test class `__init__` method when data lack one of required keys""" mocker.patch.multiple(self.klass, _required_keys='baz') with pytest.raises(ValueError): self.klass(data=data) class TestMonzoPot: """ Test `api_objects.MonzoPot` class """ klass = api_objects.MonzoPot @pytest.fixture(scope='session') def data(self, pots_api_response): """Simple fixture that returns data used to initialize the object""" return pots_api_response['pots'][0] @pytest.fixture(scope='session') def instance(self, data): """Simple fixture that returns initialize object""" return self.klass(data) def test_class_inheritance(self, instance): """Test class inheritance""" assert isinstance(instance, api_objects.MonzoPot) assert isinstance(instance, api_objects.MonzoObject) def test_class_properties(self, instance): """Test class properties""" expected_keys = ['id', 'name', 'created'] assert self.klass._required_keys == expected_keys assert instance._required_keys == expected_keys def test_class_initialization(self, instance, data): """Test class `__init__` method""" expected_data = data.copy() assert instance._raw_data == data del instance._raw_data expected_data['created'] = parse_date(expected_data['created']) assert vars(instance) == expected_data assert isinstance(instance.created, datetime) def test_class_lack_of_required_keys(self, mocker, data): """Test class `__init__` method when data lack one of required keys""" mocker.patch.multiple(self.klass, _required_keys='baz') with pytest.raises(ValueError): self.klass(data=data) class TestMonzoBalance: """ Test `api_objects.MonzoBalance` class """ klass = api_objects.MonzoBalance @pytest.fixture(scope='session') def data(self, balance_api_response): """Simple fixture that returns data used to initialize the object""" return balance_api_response @pytest.fixture(scope='session') def instance(self, data): """Simple fixture that returns initialize object""" return self.klass(data) def test_class_inheritance(self, instance): """Test class inheritance""" assert isinstance(instance, api_objects.MonzoBalance) assert isinstance(instance, api_objects.MonzoObject) def test_class_properties(self, instance): """Test class properties""" expected_keys = ['balance', 'currency', 'spend_today'] assert self.klass._required_keys == expected_keys assert instance._required_keys == expected_keys def test_class_initialization(self, instance, data): """Test class `__init__` method""" expected_data = data.copy() assert instance._raw_data == expected_data del instance._raw_data assert vars(instance) == expected_data def test_class_lack_of_required_keys(self, mocker, data): """Test class `__init__` method when data lack one of required keys""" mocker.patch.multiple(self.klass, _required_keys='baz') with pytest.raises(ValueError): self.klass(data=data) class TestMonzoTransaction: """ Test `api_objects.MonzoTransaction` class """ klass = api_objects.MonzoTransaction @pytest.fixture(scope='session') def data(self, transaction_api_response): """Simple fixture that returns data used to initialize the object""" return transaction_api_response['transaction'] @pytest.fixture(scope='session') def instance(self, data): """Simple fixture that returns initialize object""" return self.klass(data) def test_class_inheritance(self, instance): """Test class inheritance""" assert isinstance(instance, api_objects.MonzoTransaction) assert isinstance(instance, api_objects.MonzoObject) def test_class_properties(self, instance): """Test class properties""" expected_keys = [ 'account_balance', 'amount', 'created', 'currency', 'description', 'id', 'merchant', 'metadata', 'notes', 'is_load', ] assert self.klass._required_keys == expected_keys assert instance._required_keys == expected_keys def test_class_initialization(self, instance, data): """Test class `__init__` method""" expected_data = data.copy() assert instance._raw_data == expected_data del instance._raw_data expected_data['created'] = parse_date(expected_data['created']) expected_data['settled'] = parse_date(expected_data['settled']) expected_data['merchant'] = api_objects.MonzoMerchant( data=expected_data['merchant'] ) assert vars(instance) == expected_data assert isinstance(instance.created, datetime) assert isinstance(instance.settled, datetime) assert isinstance(instance.merchant, api_objects.MonzoMerchant) def test_class_lack_of_required_keys(self, mocker, data): """Test class `__init__` method when data lack one of required keys""" mocker.patch.multiple(self.klass, _required_keys='baz') with pytest.raises(ValueError): self.klass(data=data) class TestMonzoMerchant: """ Test `api_objects.MonzoMerchant` class """ klass = api_objects.MonzoMerchant @pytest.fixture(scope='session') def data(self, transaction_api_response): """Simple fixture that returns data used to initialize the object""" return transaction_api_response['transaction']['merchant'] @pytest.fixture(scope='session') def instance(self, data): """Simple fixture that returns initialize object""" return self.klass(data) def test_class_inheritance(self, instance): """Test class inheritance""" assert isinstance(instance, api_objects.MonzoMerchant) assert isinstance(instance, api_objects.MonzoObject) def test_class_properties(self, instance): """Test class properties""" expected_keys = [ 'address', 'created', 'group_id', 'id', 'logo', 'emoji', 'name', 'category', ] assert self.klass._required_keys == expected_keys assert instance._required_keys == expected_keys def test_class_initialization(self, instance, data): """Test class `__init__` method""" expected_data = data.copy() assert instance._raw_data == expected_data del instance._raw_data expected_data['created'] = parse_date(expected_data['created']) assert vars(instance) == expected_data assert isinstance(instance.created, datetime) def test_class_lack_of_required_keys(self, mocker, data): """Test class `__init__` method when data lack one of required keys""" mocker.patch.multiple(self.klass, _required_keys='baz') with pytest.raises(ValueError): self.klass(data=data)

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null

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1

0

null

0

1

0

6

355e92cfb405185b95ff722157702edac96710a7

145

py

Python

backend/grant/utils/date.py

DSBUGAY2/zcash-grant-system

729b9edda13bd1eeb3f445d889264230c6470d7e

[ "MIT" ]

8

2019-06-03T16:29:49.000Z

2021-05-11T20:38:36.000Z

backend/grant/utils/date.py

DSBUGAY2/zcash-grant-system

729b9edda13bd1eeb3f445d889264230c6470d7e

[ "MIT" ]

342

2019-01-15T19:13:58.000Z

2020-03-24T16:38:13.000Z

backend/grant/utils/date.py

DSBUGAY2/zcash-grant-system

729b9edda13bd1eeb3f445d889264230c6470d7e

[ "MIT" ]

5

2019-02-15T09:06:47.000Z

2022-01-24T21:38:41.000Z

import math def get_quarter_formatted(date): return "Q" + str(math.ceil(date.date_created.month / 3.)) + " " + str(date.date_created.year)

24.166667

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0.696552

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null

0

1

0

1

0

6

3574725e346f96f0dc3b3b6899847e6d31214437

26

py

Python

molecular_columns/__init__.py

jpinedaf/molecular_columns

756f0ca447cd92b51e71589b21307864f6ac2ee6

[ "MIT" ]

null

molecular_columns/__init__.py

jpinedaf/molecular_columns

756f0ca447cd92b51e71589b21307864f6ac2ee6

[ "MIT" ]

null

molecular_columns/__init__.py

jpinedaf/molecular_columns

756f0ca447cd92b51e71589b21307864f6ac2ee6

[ "MIT" ]

null

# from . import col_nh2d

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8.666667

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1

0

1

0

6

3578486d25007acc016e0c30d38823039696d049

481

py

Python

Geometry/CaloEventSetup/python/CaloGeometryDBReader_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

Geometry/CaloEventSetup/python/CaloGeometryDBReader_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

Geometry/CaloEventSetup/python/CaloGeometryDBReader_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from Geometry.CaloEventSetup.CaloGeometryBuilder_cfi import * from Geometry.EcalAlgo.EcalGeometryDBReader_cfi import * from Geometry.HcalEventSetup.HcalGeometryDBReader_cfi import * from Geometry.HcalEventSetup.CaloTowerGeometryDBReader_cfi import * from Geometry.HcalEventSetup.hcalTopologyIdeal_cfi import * from Geometry.HcalEventSetup.CaloTowerTopology_cfi import * from Geometry.ForwardGeometry.ForwardGeometryDBReader_cfi import *

40.083333

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481

8.666667

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0.1875

0.302885

0.336538

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0.072765

481

11

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0

null

0

1

0

1

0

1

0

6

35995995784e5bf9a00679457f6c00c1fb02da16

117

py

Python

AMnet/__init__.py

THREDgroup/AMnet

4f269c7a09d39051524e29e6e1f7a70169b7ff64

[ "MIT" ]

1

2019-03-24T10:49:23.000Z

AMnet/__init__.py

THREDgroup/AMnet

4f269c7a09d39051524e29e6e1f7a70169b7ff64

[ "MIT" ]

null

AMnet/__init__.py

THREDgroup/AMnet

4f269c7a09d39051524e29e6e1f7a70169b7ff64

[ "MIT" ]

null

import AMnet.training import AMnet.showing import AMnet.application import AMnet.preprocessing import AMnet.utilities

23.4

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117

6.866667

0.466667

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0.076923

117

5

27

23.4

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null

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1

0

1

0

1

0

6

35bfc99e479811aa7d3ac3f9705bc4aec9020f5b

175

py

Python

src/rbp/random/__init__.py

simecek/rbp

6bae3d37c4800b89efbb16861c79bf5f6fcb40d9

[ "MIT" ]

2

2020-02-18T18:35:23.000Z

2020-06-12T09:52:14.000Z

src/rbp/random/__init__.py

simecek/rbp

6bae3d37c4800b89efbb16861c79bf5f6fcb40d9

[ "MIT" ]

13

2020-02-18T16:10:19.000Z

2020-12-15T13:49:06.000Z

src/rbp/random/__init__.py

simecek/rbp

6bae3d37c4800b89efbb16861c79bf5f6fcb40d9

[ "MIT" ]

2

2020-06-12T09:52:20.000Z

2020-12-03T16:14:00.000Z

from .genomic_position import random_genomic_position, random_genomic_interval from .seq_permutation import seq_permutation from .random_intervals import gen_random_intervals

43.75

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175

6.434783

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0.202703

0

0.074286

175

3

79

58.333333

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true

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0

null

0

1

0

1

0

1

0

6

ea1ee2a3622a4fe32009c6b664aca077b7a040ef

182

py

Python

pyrunjvm/__init__.py

riag/pyrunjvm

cd5c588553b0fdea398fb775244c49b1b8231a3c

[ "Apache-2.0" ]

null

pyrunjvm/__init__.py

riag/pyrunjvm

cd5c588553b0fdea398fb775244c49b1b8231a3c

[ "Apache-2.0" ]

null

pyrunjvm/__init__.py

riag/pyrunjvm

cd5c588553b0fdea398fb775244c49b1b8231a3c

[ "Apache-2.0" ]

null

import importlib.metadata as importlib_metadata __version__ = importlib_metadata.version(__name__) from .application import create_application from .context import create_context

22.75

50

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182

6.904762

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0.351724

0.331034

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0.098901

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7

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0

1

0

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1

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0

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null

0

1

0

1

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6

ea6ec78ae6c5dcd9bc77e77f1879be3c32ccb585

47

py

Python

connectwise/time/__init__.py

punkrokk/connectwise-rest-api-python

f8b2b3c7668b407935e38b8af9d0b5d3b14d9fb2

[ "Apache-2.0" ]

7

2017-01-24T06:41:47.000Z

2021-04-16T17:34:43.000Z

connectwise/time/__init__.py

punkrokk/connectwise-rest-api-python

f8b2b3c7668b407935e38b8af9d0b5d3b14d9fb2

[ "Apache-2.0" ]

2

2019-10-30T21:32:59.000Z

2019-11-01T18:56:39.000Z

connectwise/time/__init__.py

punkrokk/connectwise-rest-api-python

f8b2b3c7668b407935e38b8af9d0b5d3b14d9fb2

[ "Apache-2.0" ]

7

2017-10-17T18:41:18.000Z

2019-11-12T20:02:14.000Z

from connectwise.time import entries as entries

47

0.87234

7

47

5.857143

0.857143

0

0.106383

47

1

47

0.97619

0

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null

0

1

0

1

0

1

0

6

ea6f20319ef94dd60742fc25f1faac029e862777

127

py

Python

money_legos/util.py

gokhanbaydar/py-money-legos

3d71885e2befeb3e6415177ea2220339c6082088

[ "MIT" ]

3

2021-02-21T03:15:54.000Z

2021-06-19T10:01:54.000Z

money_legos/util.py

gokhanbaydar/py-money-legos

3d71885e2befeb3e6415177ea2220339c6082088

[ "MIT" ]

null

money_legos/util.py

gokhanbaydar/py-money-legos

3d71885e2befeb3e6415177ea2220339c6082088

[ "MIT" ]

null

import json import pkgutil def read_json(file_location): return json.loads(pkgutil.get_data(__package__, file_location))

18.142857

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127

5.222222

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127

6

68

21.166667

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1

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1

0

1

0

null

0

1

0

1

0

6

ea783dbf00949bc6ba66ba7423f2274a29d05a07

3,562

py

Python

tests/lists/tests/insert_tests.py

kimgea/django-ordered-field

c3a79cd93b013d90bbe0d6b9c9ede872d16af949

[ "MIT" ]

null

tests/lists/tests/insert_tests.py

kimgea/django-ordered-field

c3a79cd93b013d90bbe0d6b9c9ede872d16af949

[ "MIT" ]

1

2018-05-10T09:11:49.000Z

tests/lists/tests/insert_tests.py

kimgea/django-ordered-field

c3a79cd93b013d90bbe0d6b9c9ede872d16af949

[ "MIT" ]

null

from django.test import TestCase from tests.lists.models import List, Item from tests.lists.tests.helper import set_up_helper class ListInsertTest(TestCase): def setUp(self): set_up_helper() def test_insert_first(self): list1 = List.objects.filter(pk=1).first() item_1_1 = Item(name="new", list=list1, order=0) item_1_1.save() result = list(Item.objects.filter(list=1).order_by("list", "order"). values_list("updated_by", "order_changed_count", "change_collection_count", "list", "order", "id")) expected_result = [("", 0, 0, 1, 0, 7), ("a", 1, 0, 1, 1, 1), ("a", 1, 0, 1, 2, 2), ("a", 1, 0, 1, 3, 3), ("a", 1, 0, 1, 4, 4), ("a", 1, 0, 1, 5, 5)] self.assertEqual(result, expected_result) def test_insert_second(self): list1 = List.objects.filter(pk=1).first() item_1_1 = Item(name="new", list=list1, order=1) item_1_1.save() result = list(Item.objects.filter(list=1).order_by("list", "order"). values_list("updated_by", "order_changed_count", "list", "order", "id")) expected_result = [("", 0, 1, 0, 1), ("", 0, 1, 1, 7), ("a", 1, 1, 2, 2), ("a", 1, 1, 3, 3), ("a", 1, 1, 4, 4), ("a", 1, 1, 5, 5)] self.assertEqual(result, expected_result) def test_insert_middle(self): list1 = List.objects.filter(pk=1).first() item_1_1 = Item(name="new", list=list1, order=2) item_1_1.save() result = list(Item.objects.filter(list=1).order_by("list", "order"). values_list("updated_by", "order_changed_count", "list", "order", "id")) expected_result = [("", 0, 1, 0, 1), ("", 0, 1, 1, 2), ("", 0, 1, 2, 7), ("a", 1, 1, 3, 3), ("a", 1, 1, 4, 4), ("a", 1, 1, 5, 5)] self.assertEqual(result, expected_result) def test_insert_seccond_last(self): list1 = List.objects.filter(pk=1).first() item_1_1 = Item(name="new", list=list1, order=4) item_1_1.save() result = list(Item.objects.filter(list=1).order_by("list", "order"). values_list("updated_by", "order_changed_count", "list", "order", "id")) expected_result = [("", 0, 1, 0, 1), ("", 0, 1, 1, 2), ("", 0, 1, 2, 3), ("", 0, 1, 3, 4), ("", 0, 1, 4, 7), ("a", 1, 1, 5, 5)] self.assertEqual(result, expected_result) def test_insert_last(self): list1 = List.objects.filter(pk=1).first() item_1_1 = Item(name="new", list=list1, order=5) item_1_1.save() result = list(Item.objects.filter(list=1).order_by("list", "order"). values_list("updated_by", "order_changed_count", "list", "order", "id")) expected_result = [("", 0, 1, 0, 1), ("", 0, 1, 1, 2), ("", 0, 1, 2, 3), ("", 0, 1, 3, 4), ("", 0, 1, 4, 5), ("", 0, 1, 5, 7)] self.assertEqual(result, expected_result)

41.905882

121

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443

3,562

3.410835

0.115124

0.034414

0.025811

0.021178

0.842488

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0.786896

0

0.077833

0.383212

3,562

84

122

42.404762

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0

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false

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0.140845

0

null

0

1

0

null

0

6

577ffa1557a679cf439d0b9fb8fc667e3367a4f1

1,404

py

Python

torch_metrics/classification/pr.py

Joffreybvn/torch-metrics

587a4995730a7ec7b0370d6dd523d2c84129b255

[ "MIT" ]

95

2020-11-04T06:02:20.000Z

2022-03-17T16:27:04.000Z

torch_metrics/classification/pr.py

Joffreybvn/torch-metrics

587a4995730a7ec7b0370d6dd523d2c84129b255

[ "MIT" ]

22

2020-11-04T06:09:29.000Z

2022-03-28T16:58:36.000Z

torch_metrics/classification/pr.py

Joffreybvn/torch-metrics

587a4995730a7ec7b0370d6dd523d2c84129b255

[ "MIT" ]

17

2020-11-04T05:56:35.000Z

2021-08-28T15:38:14.000Z

import torch class Precision: """ Computes precision of the predictions with respect to the true labels. Args: y_true: Tensor of Ground truth values. y_pred: Tensor of Predicted values. epsilon: Fuzz factor to avoid division by zero. default: `1e-10` Returns: Tensor of precision score """ def __init__(self, epsilon=1e-10): self.epsilon = epsilon def __call__(self, y_pred, y_true): true_positives = torch.sum(torch.round(torch.clip(y_pred * y_true, 0, 1))) predicted_positives = torch.sum(torch.round(torch.clip(y_pred, 0, 1))) precision = true_positives / (predicted_positives + self.epsilon) return precision class Recall: """ Computes recall of the predictions with respect to the true labels. Args: y_true: Tensor of Ground truth values. y_pred: Tensor of Predicted values. epsilon: Fuzz factor to avoid division by zero. default: `1e-10` Returns: Tensor of recall score """ def __init__(self, epsilon=1e-10): self.epsilon = epsilon def __call__(self, y_pred, y_true): true_positives = torch.sum(torch.round(torch.clip(y_pred * y_true, 0, 1))) actual_positives = torch.sum(torch.round(torch.clip(y_true, 0, 1))) recall = true_positives / (actual_positives + self.epsilon) return recall

29.25

82

0.652422

190

1,404

4.621053

0.242105

0.039863

0.027335

0.045558

0.740319

0.698178

0.651481

0

0.019157

0.25641

1,404

47

83

29.87234

0.821839

0.37963

0

0.470588

0

1

0.235294

false

0

0.058824

0

0.529412

0

null

0

1

0

1

0

null

0

1

0

1

0

6

5794b15b6d81f4780ee4f72c90291a727f69e7fe

251

py

Python

crawlino/__init__.py

BBVA/crawlino

685f57e6b3e9356484ead2681bb178f651d2f371

[ "Apache-2.0" ]

1

2018-11-11T21:07:54.000Z

crawlino/__init__.py

BBVA/crawlino

685f57e6b3e9356484ead2681bb178f651d2f371

[ "Apache-2.0" ]

null

crawlino/__init__.py

BBVA/crawlino

685f57e6b3e9356484ead2681bb178f651d2f371

[ "Apache-2.0" ]

null

from .exceptions import * from .crawlino_flow import * from .decorators import * from .helpers import * from .mini_lang import * from .modules import * from .crawlino_managers import * from .current_config import * from .models.plugins_models import *

27.888889

36

0.784861

33

251

5.818182

0.454545

0.416667

0.1875

0

0.139442

251

9

36

27.888889

0.888889

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

579fef3fcec93be8106e0313bc31f27786b37d37

43,841

py

Python

tests/test_ping_s.py

shaikustin/jc

b59e38cfd2c8a7f5868e05d5562557b1c27e5e56

[ "MIT" ]

null

tests/test_ping_s.py

shaikustin/jc

b59e38cfd2c8a7f5868e05d5562557b1c27e5e56

[ "MIT" ]

null

tests/test_ping_s.py

shaikustin/jc

b59e38cfd2c8a7f5868e05d5562557b1c27e5e56

[ "MIT" ]

null

import os import unittest import json from jc.exceptions import ParseError import jc.parsers.ping_s THIS_DIR = os.path.dirname(os.path.abspath(__file__)) # To create streaming output use: # $ cat ping.out | jc --ping-s | jello -c > ping-streaming.json class MyTests(unittest.TestCase): def setUp(self): # input # centos with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-O.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_O = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-O-D.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_O_D = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-hostname-O.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_hostname_O = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-hostname-O-p.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_hostname_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-hostname-O-D-p-s.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_hostname_O_D_p_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-ip-O-p.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_ip_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-ip-O-p-unparsable.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_ip_O_p_unparsable = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-ip-O-D-p.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_ip_O_D_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-hostname-O-p.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_hostname_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-hostname-O-D-p-s.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_hostname_O_D_p_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-dup.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_dup = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-ip-dup.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_ip_dup = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-O-unparsedlines.out'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_O_unparsedlines = f.read() # ubuntu with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-ip-O.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_ip_O = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-ip-O-D.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_ip_O_D = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-hostname-O.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_hostname_O = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-hostname-O-p.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_hostname_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-hostname-O-D-p-s.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_hostname_O_D_p_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-ip-O-p.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_ip_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-ip-O-D-p.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_ip_O_D_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-hostname-O-p.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_hostname_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-hostname-O-D-p-s.out'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_hostname_O_D_p_s = f.read() # fedora with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-ip-O.out'), 'r', encoding='utf-8') as f: self.fedora32_ping_ip_O = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-ip-O-D.out'), 'r', encoding='utf-8') as f: self.fedora32_ping_ip_O_D = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-hostname-O.out'), 'r', encoding='utf-8') as f: self.fedora32_ping_hostname_O = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-hostname-O-p.out'), 'r', encoding='utf-8') as f: self.fedora32_ping_hostname_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-hostname-O-D-p-s.out'), 'r', encoding='utf-8') as f: self.fedora32_ping_hostname_O_D_p_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-ip-O-p.out'), 'r', encoding='utf-8') as f: self.fedora32_ping6_ip_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-ip-O-D-p.out'), 'r', encoding='utf-8') as f: self.fedora32_ping6_ip_O_D_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-hostname-O-p.out'), 'r', encoding='utf-8') as f: self.fedora32_ping6_hostname_O_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-hostname-O-D-p-s.out'), 'r', encoding='utf-8') as f: self.fedora32_ping6_hostname_O_D_p_s = f.read() # freebsd with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-hostname-p.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping_hostname_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-hostname-s.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping_hostname_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-hostname.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping_hostname = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-ip-p.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping_ip_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-ip-s.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping_ip_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-ip.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping_ip = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-hostname-p.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_hostname_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-hostname-s.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_hostname_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-hostname.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_hostname = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-ip-p.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_ip_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-ip-s.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_ip_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-ip.out'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_ip = f.read() # osx with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-hostname-p.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_hostname_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-hostname-s.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_hostname_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-hostname.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_hostname = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-p.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-s.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-unreachable.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_unreachable = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-unknown-errors.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_unknown_errors = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-hostname-p.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_hostname_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-hostname-s.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_hostname_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-hostname.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_hostname = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-p.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_p = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-s.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_s = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-unparsable.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_unparsable = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-dup.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_dup = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-dup.out'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_dup = f.read() # raspberry pi with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/pi/ping-ip-O.out'), 'r', encoding='utf-8') as f: self.pi_ping_ip_O = f.read() with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/pi/ping-ip-O-D.out'), 'r', encoding='utf-8') as f: self.pi_ping_ip_O_D = f.read() # output # centos with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-O-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_O_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-O-streaming-ignore-exceptions.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_O_streaming_ignore_exceptions_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-O-D-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_O_D_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-hostname-O-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_hostname_O_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-hostname-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_hostname_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-hostname-O-D-p-s-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_hostname_O_D_p_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-ip-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_ip_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-ip-O-D-p-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_ip_O_D_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-hostname-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_hostname_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-hostname-O-D-p-s-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_hostname_O_D_p_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping-ip-dup-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping_ip_dup_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/centos-7.7/ping6-ip-dup-streaming.json'), 'r', encoding='utf-8') as f: self.centos_7_7_ping6_ip_dup_streaming_json = json.loads(f.read()) # ubunutu with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-ip-O-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_ip_O_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-ip-O-D-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_ip_O_D_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-hostname-O-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_hostname_O_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-hostname-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_hostname_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping-hostname-O-D-p-s-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping_hostname_O_D_p_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-ip-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_ip_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-ip-O-D-p-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_ip_O_D_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-hostname-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_hostname_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/ubuntu-18.04/ping6-hostname-O-D-p-s-streaming.json'), 'r', encoding='utf-8') as f: self.ubuntu_18_4_ping6_hostname_O_D_p_s_streaming_json = json.loads(f.read()) # fedora with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-ip-O-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping_ip_O_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-ip-O-D-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping_ip_O_D_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-hostname-O-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping_hostname_O_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-hostname-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping_hostname_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping-hostname-O-D-p-s-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping_hostname_O_D_p_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-ip-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping6_ip_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-ip-O-D-p-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping6_ip_O_D_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-hostname-O-p-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping6_hostname_O_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/fedora32/ping6-hostname-O-D-p-s-streaming.json'), 'r', encoding='utf-8') as f: self.fedora32_ping6_hostname_O_D_p_s_streaming_json = json.loads(f.read()) # freebsd with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-hostname-p-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping_hostname_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-hostname-s-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping_hostname_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-hostname-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping_hostname_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-ip-p-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping_ip_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-ip-s-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping_ip_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping-ip-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping_ip_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-hostname-p-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_hostname_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-hostname-s-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_hostname_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-hostname-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_hostname_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-ip-p-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_ip_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-ip-s-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_ip_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/freebsd12/ping6-ip-streaming.json'), 'r', encoding='utf-8') as f: self.freebsd12_ping6_ip_streaming_json = json.loads(f.read()) # osx: with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-hostname-p-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_hostname_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-hostname-s-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_hostname_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-hostname-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_hostname_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-p-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-s-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-unreachable-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_unreachable_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-hostname-p-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_hostname_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-hostname-s-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_hostname_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-hostname-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_hostname_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-p-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_p_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-s-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_s_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping-ip-dup-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping_ip_dup_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/osx-10.14.6/ping6-ip-dup-streaming.json'), 'r', encoding='utf-8') as f: self.osx_10_14_6_ping6_ip_dup_streaming_json = json.loads(f.read()) # raspberry pi with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/pi/ping-ip-O-streaming.json'), 'r', encoding='utf-8') as f: self.pi_ping_ip_O_streaming_json = json.loads(f.read()) with open(os.path.join(THIS_DIR, os.pardir, 'tests/fixtures/pi/ping-ip-O-D-streaming.json'), 'r', encoding='utf-8') as f: self.pi_ping_ip_O_D_streaming_json = json.loads(f.read()) def test_ping_s_nodata(self): """ Test 'ping' with no data """ self.assertEqual(list(jc.parsers.ping_s.parse('', quiet=True)), []) def test_ping_s_unparsable(self): data = 'unparsable data' g = jc.parsers.ping_s.parse(data.splitlines(), quiet=True) with self.assertRaises(ParseError): list(g) def test_ping_s_ignore_exceptions_success(self): """ Test 'ping' with -qq (ignore_exceptions) option """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping_ip_O.splitlines(), quiet=True, ignore_exceptions=True)), self.centos_7_7_ping_ip_O_streaming_ignore_exceptions_json) def test_ping_s_ignore_exceptions_error(self): """ Test 'ping' with -qq (ignore_exceptions) option option and error """ data_in = 'not ping' expected = json.loads('[{"_jc_meta":{"success":false,"error":"ParseError: Could not detect ping OS","line":"not ping"}}]') self.assertEqual(list(jc.parsers.ping_s.parse(data_in.splitlines(), quiet=True, ignore_exceptions=True)), expected) def test_ping_s_ip_O_centos_7_7(self): """ Test 'ping <ip> -O' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping_ip_O.splitlines(), quiet=True)), self.centos_7_7_ping_ip_O_streaming_json) def test_ping_s_ip_O_D_centos_7_7(self): """ Test 'ping <ip> -O -D' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping_ip_O_D.splitlines(), quiet=True)), self.centos_7_7_ping_ip_O_D_streaming_json) def test_ping_s_hostname_O_centos_7_7(self): """ Test 'ping <hostname> -O' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping_hostname_O.splitlines(), quiet=True)), self.centos_7_7_ping_hostname_O_streaming_json) def test_ping_s_hostname_O_p_centos_7_7(self): """ Test 'ping <hostname> -O -p' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping_hostname_O_p.splitlines(), quiet=True)), self.centos_7_7_ping_hostname_O_p_streaming_json) def test_ping_s_hostname_O_D_p_s_centos_7_7(self): """ Test 'ping <hostname> -O -D -p -s' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping_hostname_O_D_p_s.splitlines(), quiet=True)), self.centos_7_7_ping_hostname_O_D_p_s_streaming_json) def test_ping6_s_ip_O_p_centos_7_7(self): """ Test 'ping6 <ip> -O -p' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping6_ip_O_p.splitlines(), quiet=True)), self.centos_7_7_ping6_ip_O_p_streaming_json) def test_ping6_s_ip_O_p_unparsable_centos_7_7(self): """ Test 'ping6 <ip> -O -p' with unparsable lines on Centos 7.7 (raises IndexError) """ g = jc.parsers.ping_s.parse(self.centos_7_7_ping6_ip_O_p_unparsable.splitlines(), quiet=True) with self.assertRaises(IndexError): list(g) def test_ping6_s_ip_O_D_p_centos_7_7(self): """ Test 'ping6 <ip> -O -D -p' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping6_ip_O_D_p.splitlines(), quiet=True)), self.centos_7_7_ping6_ip_O_D_p_streaming_json) def test_ping6_s_hostname_O_p_centos_7_7(self): """ Test 'ping6 <hostname> -O -p' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping6_hostname_O_p.splitlines(), quiet=True)), self.centos_7_7_ping6_hostname_O_p_streaming_json) def test_ping6_s_hostname_O_D_p_s_centos_7_7(self): """ Test 'ping6 <hostname> -O -D -p -s' on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping6_hostname_O_D_p_s.splitlines(), quiet=True)), self.centos_7_7_ping6_hostname_O_D_p_s_streaming_json) def test_ping_s_ip_dup_centos_7_7(self): """ Test 'ping <ip>' to broadcast IP to get duplicate replies on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping_ip_dup.splitlines(), quiet=True)), self.centos_7_7_ping_ip_dup_streaming_json) def test_ping6_s_ip_dup_centos_7_7(self): """ Test 'ping6 <ip>' to broadcast IP to get duplicate replies on Centos 7.7 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.centos_7_7_ping6_ip_dup.splitlines(), quiet=True)), self.centos_7_7_ping6_ip_dup_streaming_json) def test_ping_s_ip_O_unparsedlines_centos_7_7(self): """ Test 'ping <ip> -O' on Centos 7.7 with unparsable lines and error messages """ g = jc.parsers.ping_s.parse(self.centos_7_7_ping_ip_O_unparsedlines.splitlines(), quiet=True) with self.assertRaises(IndexError): list(g) def test_ping_s_ip_O_ubuntu_18_4(self): """ Test 'ping <ip> -O' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping_ip_O.splitlines(), quiet=True)), self.ubuntu_18_4_ping_ip_O_streaming_json) def test_ping_s_ip_O_D_ubuntu_18_4(self): """ Test 'ping <ip> -O -D' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping_ip_O_D.splitlines(), quiet=True)), self.ubuntu_18_4_ping_ip_O_D_streaming_json) def test_ping_s_hostname_O_ubuntu_18_4(self): """ Test 'ping <hostname> -O' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping_hostname_O.splitlines(), quiet=True)), self.ubuntu_18_4_ping_hostname_O_streaming_json) def test_ping_s_hostname_O_p_ubuntu_18_4(self): """ Test 'ping <hostname> -O -p' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping_hostname_O_p.splitlines(), quiet=True)), self.ubuntu_18_4_ping_hostname_O_p_streaming_json) def test_ping_s_hostname_O_D_p_s_ubuntu_18_4(self): """ Test 'ping <hostname> -O -D -p -s' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping_hostname_O_D_p_s.splitlines(), quiet=True)), self.ubuntu_18_4_ping_hostname_O_D_p_s_streaming_json) def test_ping6_s_ip_O_p_ubuntu_18_4(self): """ Test 'ping6 <ip> -O -p' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping6_ip_O_p.splitlines(), quiet=True)), self.ubuntu_18_4_ping6_ip_O_p_streaming_json) def test_ping6_s_ip_O_D_p_ubuntu_18_4(self): """ Test 'ping6 <ip> -O -D -p' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping6_ip_O_D_p.splitlines(), quiet=True)), self.ubuntu_18_4_ping6_ip_O_D_p_streaming_json) def test_ping6_s_hostname_O_p_ubuntu_18_4(self): """ Test 'ping6 <hostname> -O -p' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping6_hostname_O_p.splitlines(), quiet=True)), self.ubuntu_18_4_ping6_hostname_O_p_streaming_json) def test_ping6_s_hostname_O_D_p_s_ubuntu_18_4(self): """ Test 'ping6 <hostname> -O -D -p -s' on Ubuntu 18.4 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.ubuntu_18_4_ping6_hostname_O_D_p_s.splitlines(), quiet=True)), self.ubuntu_18_4_ping6_hostname_O_D_p_s_streaming_json) def test_ping_s_ip_O_fedora32(self): """ Test 'ping <ip> -O' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping_ip_O.splitlines(), quiet=True)), self.fedora32_ping_ip_O_streaming_json) def test_ping_s_ip_O_D_fedora32(self): """ Test 'ping <ip> -O -D' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping_ip_O_D.splitlines(), quiet=True)), self.fedora32_ping_ip_O_D_streaming_json) def test_ping_s_hostname_O_fedora32(self): """ Test 'ping <hostname> -O' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping_hostname_O.splitlines(), quiet=True)), self.fedora32_ping_hostname_O_streaming_json) def test_ping_s_hostname_O_p_fedora32(self): """ Test 'ping <hostname> -O -p' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping_hostname_O_p.splitlines(), quiet=True)), self.fedora32_ping_hostname_O_p_streaming_json) def test_ping_s_hostname_O_D_p_s_fedora32(self): """ Test 'ping <hostname> -O -D -p -s' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping_hostname_O_D_p_s.splitlines(), quiet=True)), self.fedora32_ping_hostname_O_D_p_s_streaming_json) def test_ping6_s_ip_O_p_fedora32(self): """ Test 'ping6 <ip> -O -p' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping6_ip_O_p.splitlines(), quiet=True)), self.fedora32_ping6_ip_O_p_streaming_json) def test_ping6_s_ip_O_D_p_fedora32(self): """ Test 'ping6 <ip> -O -D -p' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping6_ip_O_D_p.splitlines(), quiet=True)), self.fedora32_ping6_ip_O_D_p_streaming_json) def test_ping6_s_hostname_O_p_fedora32(self): """ Test 'ping6 <hostname> -O -p' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping6_hostname_O_p.splitlines(), quiet=True)), self.fedora32_ping6_hostname_O_p_streaming_json) def test_ping6_s_hostname_O_D_p_s_fedora32(self): """ Test 'ping6 <hostname> -O -D -p -s' on fedora32 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.fedora32_ping6_hostname_O_D_p_s.splitlines(), quiet=True)), self.fedora32_ping6_hostname_O_D_p_s_streaming_json) def test_ping_s_hostname_p_freebsd12(self): """ Test 'ping <hostname> -p' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping_hostname_p.splitlines(), quiet=True)), self.freebsd12_ping_hostname_p_streaming_json) def test_ping_s_hostname_s_freebsd12(self): """ Test 'ping <hostname> -s' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping_hostname_s.splitlines(), quiet=True)), self.freebsd12_ping_hostname_s_streaming_json) def test_ping_s_ping_hostname_freebsd12(self): """ Test 'ping <hostname>' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping_hostname.splitlines(), quiet=True)), self.freebsd12_ping_hostname_streaming_json) def test_ping_s_ip_p_freebsd12(self): """ Test 'ping <ip> -p' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping_ip_p.splitlines(), quiet=True)), self.freebsd12_ping_ip_p_streaming_json) def test_ping_s_ip_s_freebsd12(self): """ Test 'ping <ip> -s' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping_ip_s.splitlines(), quiet=True)), self.freebsd12_ping_ip_s_streaming_json) def test_ping_s_ip_freebsd12(self): """ Test 'ping6 <ip>' on freebsd127 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping_ip.splitlines(), quiet=True)), self.freebsd12_ping_ip_streaming_json) def test_ping6_s_hostname_p_freebsd12(self): """ Test 'ping6 <hostname> -p' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping6_hostname_p.splitlines(), quiet=True)), self.freebsd12_ping6_hostname_p_streaming_json) def test_ping6_s_hostname_s_freebsd12(self): """ Test 'ping6 <hostname> -s' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping6_hostname_s.splitlines(), quiet=True)), self.freebsd12_ping6_hostname_s_streaming_json) def test_ping6_s_hostname_freebsd12(self): """ Test 'ping6 <hostname>' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping6_hostname.splitlines(), quiet=True)), self.freebsd12_ping6_hostname_streaming_json) def test_ping6_s_ip_p_freebsd12(self): """ Test 'ping6 <ip> -p' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping6_ip_p.splitlines(), quiet=True)), self.freebsd12_ping6_ip_p_streaming_json) def test_ping6_s_ip_s_freebsd12(self): """ Test 'ping6 <ip> -s' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping6_ip_s.splitlines(), quiet=True)), self.freebsd12_ping6_ip_s_streaming_json) def test_ping6_s_ip_freebsd12(self): """ Test 'ping6 <ip>' on freebsd12 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.freebsd12_ping6_ip.splitlines(), quiet=True)), self.freebsd12_ping6_ip_streaming_json) def test_ping_s_hostname_p_osx_10_14_6(self): """ Test 'ping <hostname> -p' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_hostname_p.splitlines(), quiet=True)), self.osx_10_14_6_ping_hostname_p_streaming_json) def test_ping_s_hostname_s_osx_10_14_6(self): """ Test 'ping <hostname> -s' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_hostname_s.splitlines(), quiet=True)), self.osx_10_14_6_ping_hostname_s_streaming_json) def test_ping_s_hostname_osx_10_14_6(self): """ Test 'ping <hostname>' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_hostname.splitlines(), quiet=True)), self.osx_10_14_6_ping_hostname_streaming_json) def test_ping_s_ip_p_osx_10_14_6(self): """ Test 'ping <ip> -p' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_ip_p.splitlines(), quiet=True)), self.osx_10_14_6_ping_ip_p_streaming_json) def test_ping_s_ip_s_osx_10_14_6(self): """ Test 'ping <ip> -s' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_ip_s.splitlines(), quiet=True)), self.osx_10_14_6_ping_ip_s_streaming_json) def test_ping_s_ip_osx_10_14_6(self): """ Test 'ping <ip>' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_ip.splitlines(), quiet=True)), self.osx_10_14_6_ping_ip_streaming_json) def test_ping_s_ip_unreachable_osx_10_14_6(self): """ Test 'ping <ip>' with host unreachable error on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_ip_unreachable.splitlines(), quiet=True)), self.osx_10_14_6_ping_ip_unreachable_streaming_json) def test_ping_s_ip_unknown_errors_osx_10_14_6(self): """ Test 'ping <ip>' with unknown/unparsable errors on osx 10.14.6 """ g = jc.parsers.ping_s.parse(self.osx_10_14_6_ping_ip_unknown_errors.splitlines(), quiet=True) with self.assertRaises(IndexError): list(g) def test_ping6_s_hostname_p_osx_10_14_6(self): """ Test 'ping6 <hostname> -p' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_hostname_p.splitlines(), quiet=True)), self.osx_10_14_6_ping6_hostname_p_streaming_json) def test_ping6_s_hostname_s_osx_10_14_6(self): """ Test 'ping6 <hostname> -s' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_hostname_s.splitlines(), quiet=True)), self.osx_10_14_6_ping6_hostname_s_streaming_json) def test_ping6_s_hostname_osx_10_14_6(self): """ Test 'ping6 <hostname>' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_hostname.splitlines(), quiet=True)), self.osx_10_14_6_ping6_hostname_streaming_json) def test_ping6_s_ip_p_osx_10_14_6(self): """ Test 'ping6 <ip> -p' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_ip_p.splitlines(), quiet=True)), self.osx_10_14_6_ping6_ip_p_streaming_json) def test_ping6_s_ip_s_osx_10_14_6(self): """ Test 'ping6 <ip> -s' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_ip_s.splitlines(), quiet=True)), self.osx_10_14_6_ping6_ip_s_streaming_json) def test_ping6_s_ip_osx_10_14_6(self): """ Test 'ping6 <ip>' on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_ip.splitlines(), quiet=True)), self.osx_10_14_6_ping6_ip_streaming_json) def test_ping6_s_ip_unparsable_osx_10_14_6(self): """ Test 'ping6 <ip>' with unparsable lines on osx 10.14.6 """ g = jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_ip_unparsable.splitlines(), quiet=True) with self.assertRaises(IndexError): list(g) def test_ping_s_ip_dup_osx_10_14_6(self): """ Test 'ping <ip>' to broadcast IP to get duplicate replies on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping_ip_dup.splitlines(), quiet=True)), self.osx_10_14_6_ping_ip_dup_streaming_json) def test_ping6_s_ip_dup_osx_10_14_6(self): """ Test 'ping6 <ip>' to broadcast IP to get duplicate replies on osx 10.14.6 """ self.assertEqual(list(jc.parsers.ping_s.parse(self.osx_10_14_6_ping6_ip_dup.splitlines(), quiet=True)), self.osx_10_14_6_ping6_ip_dup_streaming_json) def test_ping_s_ip_O_pi(self): """ Test 'ping6 <ip> -O' on raspberry pi """ self.assertEqual(list(jc.parsers.ping_s.parse(self.pi_ping_ip_O.splitlines(), quiet=True)), self.pi_ping_ip_O_streaming_json) def test_ping_s_ip_O_D_pi(self): """ Test 'ping6 <ip> -O -D' on raspberry pi """ self.assertEqual(list(jc.parsers.ping_s.parse(self.pi_ping_ip_O_D.splitlines(), quiet=True)), self.pi_ping_ip_O_D_streaming_json) if __name__ == '__main__': unittest.main()

54.46087

191

0.677813

7,337

43,841

3.760801

0.01581

0.082448

0.032979

0.037691

0.973472

0.971913

0.95488

0.933606

0.901714

0.874062

0

0.048783

0.173787

43,841

804

192

54.528607

0.712992

0.069296

0

0.02267

0

0.093199

0.172936

0.152474

0

0.166247

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0.168766

false

0

0.012594

0

0.183879

0

null

0

1

0

null

0

6

57ae1d68a3742ed229f7932289dddda9f5b54a83

47

py

Python

hitbasic/translations/initialisation_clause.py

pvmm/hitbasic

f134a80d7e9ada5c7c7423a43001f543fa9ad896

[ "BSD-2-Clause" ]

null

hitbasic/translations/initialisation_clause.py

pvmm/hitbasic

f134a80d7e9ada5c7c7423a43001f543fa9ad896

[ "BSD-2-Clause" ]

null

hitbasic/translations/initialisation_clause.py

pvmm/hitbasic

f134a80d7e9ada5c7c7423a43001f543fa9ad896

[ "BSD-2-Clause" ]

null

# don't delete this file class Clause: pass

7.833333

24

0.702128

8

47

4.125

1

0

0.234043

47

5

25

9.4

0.916667

0.468085

0

1

0

true

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

57af28b5c3aa3e807bd5c799b6f1754a18da5498

47

py

Python

test/python/LIM2Metrics/py3/base/common/Python003/Python003.py

sagodiz/SonarQube-plug-in

4f8e111baecc4c9f9eaa5cd3d7ebeb1e365ace2c

[ "BSD-4-Clause" ]

20

2015-06-16T17:39:10.000Z

2022-03-20T22:39:40.000Z

test/python/LIM2Metrics/py3/base/common/Python003/Python003.py

sagodiz/SonarQube-plug-in

4f8e111baecc4c9f9eaa5cd3d7ebeb1e365ace2c

[ "BSD-4-Clause" ]

29

2015-12-29T19:07:22.000Z

2022-03-22T10:39:02.000Z

test/python/LIM2Metrics/py3/base/common/Python003/Python003.py

sagodiz/SonarQube-plug-in

4f8e111baecc4c9f9eaa5cd3d7ebeb1e365ace2c

[ "BSD-4-Clause" ]

12

2015-08-28T01:22:18.000Z

2021-09-25T08:17:31.000Z

def whats_on_the_telly(): print("Nothing")

15.666667

25

0.702128

7

47

4.285714

1

0

0.148936

47

2

26

23.5

0.75

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0.148936

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0.5

true

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0

1

0

null

0

1

0

1

0

6

57c28da004688b7f98b7adae3953c25d9821db0e

2,067

py

Python

countries_plus/migrations/0004_auto_20150616_1242.py

niSeRdiSeR/django-countries-plus

0ec1fd32dabb2aa3cf7ad0701277313896060073

[ "MIT" ]

33

2015-06-16T09:26:11.000Z

2022-02-05T20:14:41.000Z

countries_plus/migrations/0004_auto_20150616_1242.py

niSeRdiSeR/django-countries-plus

0ec1fd32dabb2aa3cf7ad0701277313896060073

[ "MIT" ]

16

2015-01-24T12:36:30.000Z

2022-03-30T10:36:59.000Z

countries_plus/migrations/0004_auto_20150616_1242.py

niSeRdiSeR/django-countries-plus

0ec1fd32dabb2aa3cf7ad0701277313896060073

[ "MIT" ]

20

2015-05-15T08:49:37.000Z

2022-01-31T13:27:29.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('countries_plus', '0003_auto_20150611_1446'), ] operations = [ migrations.AlterField( model_name='country', name='capital', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='currency_name', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='currency_symbol', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='languages', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='name', field=models.CharField(max_length=255, unique=True), ), migrations.AlterField( model_name='country', name='neighbours', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='phone', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='postal_code_format', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='postal_code_regex', field=models.CharField(max_length=255, blank=True, null=True), ), migrations.AlterField( model_name='country', name='tld', field=models.CharField(max_length=255, blank=True, null=True), ), ]

31.8

74

0.56894

200

2,067

5.705

0.23

0.175285

0.219106

0.254163

0.807187

0.77213

0.69851

0

0.033029

0.311563

2,067

64

75

32.296875

0.768798

0.01016

0

0.672414

0

0.101761

0.011252

0

1

0

false

0

0.034483

0

0.086207

0

null

0

1

0

1

0

null

0

6

57da055f15c0fcc81564f076ba57b50c84c7d4b8

1,018

py

Python

drivers/plot_XYZvtang.py

lgbouma/rudolf

0f130f45fdbcce109a6750aa179dd26a12179619

[ "MIT" ]

null

drivers/plot_XYZvtang.py

lgbouma/rudolf

0f130f45fdbcce109a6750aa179dd26a12179619

[ "MIT" ]

null

drivers/plot_XYZvtang.py

lgbouma/rudolf

0f130f45fdbcce109a6750aa179dd26a12179619

[ "MIT" ]

null

import os import rudolf.plotting as rp from rudolf.paths import RESULTSDIR PLOTDIR = os.path.join(RESULTSDIR, 'XYZvtang') if not os.path.exists(PLOTDIR): os.mkdir(PLOTDIR) rp.plot_XYZvtang(PLOTDIR, show_1627=1, show_comovers=0, show_sun=1, show_7368=0, show_allknown=1, show_rsg5=1, orientation='square') rp.plot_XYZvtang(PLOTDIR, show_1627=1, show_comovers=0, show_sun=1, show_7368=0, show_allknown=1, show_rsg5=1, orientation='portrait') rp.plot_XYZvtang(PLOTDIR, show_1627=1, show_comovers=0, show_sun=1, show_7368=0, show_allknown=1, orientation='portrait') rp.plot_XYZvtang(PLOTDIR, show_1627=1, show_comovers=1, show_sun=1) rp.plot_XYZvtang(PLOTDIR, show_1627=1, show_comovers=1, show_sun=1, show_7368=1) rp.plot_XYZvtang(PLOTDIR, show_1627=1, show_comovers=1, show_sun=1, orientation='portrait') rp.plot_XYZvtang(PLOTDIR, show_1627=1, show_comovers=1) rp.plot_XYZvtang(PLOTDIR, show_1627=1) rp.plot_XYZvtang(PLOTDIR)

39.153846

83

0.72888

161

1,018

4.36646

0.186335

0.113798

0.179232

0.268848

0.798009

0.756757

0.714083

0

0.0927

0.152259

1,018

25

84

40.72

0.7219

0

0.25

0

0.037328

0

1

0

false

0

0.15

0

0.15

0

null

0

1

0

1

0

null

0

6

aa24818ed1e5885f5e2ce40ff737a4c3284fe7a1

116

py

Python

catalyst/contrib/models/cv/__init__.py

balakhonoff/catalyst

82d904aee97045efbaef3963e36c2ce5173ddac4

[ "Apache-2.0" ]

46

2020-03-27T20:12:32.000Z

2021-11-21T19:08:51.000Z

catalyst/contrib/models/cv/__init__.py

balakhonoff/catalyst

82d904aee97045efbaef3963e36c2ce5173ddac4

[ "Apache-2.0" ]

2

2020-04-06T10:43:04.000Z

2020-07-01T18:26:10.000Z

catalyst/contrib/models/cv/__init__.py

balakhonoff/catalyst

82d904aee97045efbaef3963e36c2ce5173ddac4

[ "Apache-2.0" ]

5

2020-04-17T14:09:53.000Z

2021-05-10T08:58:29.000Z

# flake8: noqa # isort:skip_file from .encoders import * from .classification import * from .segmentation import *

16.571429

29

0.758621

14

116

6.214286

0.714286

0.229885

0

0.010204

0.155172

116

6

30

19.333333

0.877551

0.241379

0

1

0

true

0

1

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1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

6

a4f1c7963fa87d41a45b1fd70e7317322dfe9719

156

py

Python

ocial/ocial_project/accounts/admin.py

kasimbozdag/swe_574

a77fa29fd80c713cd202ccbb82cfcadfa52b81fa

[ "MIT" ]

1

2019-09-29T12:54:58.000Z

ocial/ocial_project/accounts/admin.py

kasimbozdag/swe_574

a77fa29fd80c713cd202ccbb82cfcadfa52b81fa

[ "MIT" ]

55

2019-09-26T16:29:22.000Z

2022-02-10T11:28:32.000Z

ocial/ocial_project/accounts/admin.py

kasimbozdag/swe_574

a77fa29fd80c713cd202ccbb82cfcadfa52b81fa

[ "MIT" ]

null

from django.contrib import admin from .models import * admin.site.register(Learner) admin.site.register(UserProfile) admin.site.register(UserFollowing)

15.6

34

0.807692

20

156

6.3

0.55

0.214286

0.404762

0

0.096154

156

9

35

17.333333

0.893617

0

1

0

true

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

3541d0eef483832fb1d4453062e220c5823ab5dd

231

py

Python

reactive/builder.py

juju-solutions/layer-binary-builder

79a3b2d3098fba77b4ad2192b72846165d7463f7

[ "Apache-2.0" ]

null

reactive/builder.py

juju-solutions/layer-binary-builder

79a3b2d3098fba77b4ad2192b72846165d7463f7

[ "Apache-2.0" ]

2

2016-05-12T09:38:14.000Z

2016-05-12T09:38:37.000Z

reactive/builder.py

juju-solutions/layer-binary-builder

79a3b2d3098fba77b4ad2192b72846165d7463f7

[ "Apache-2.0" ]

null

from charms.reactive import when_not from charms.reactive import set_state from charmhelpers.core import hookenv @when_not('builder.ready') def bootstrap(): hookenv.status_set('active', 'Ready') set_state('builder.ready')

25.666667

41

0.774892

32

231

5.4375

0.53125

0.114943

0.206897

0.275862

0

0.116883

231

8

42

28.875

0.852941

0

0.160173

0

1

0.142857

true

0

0.428571

0

0.571429

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

1036b1bac2d8aa004f7e41d3bc89c6f4f0945b81

81

py

Python

plugins/__init__.py

davinerd/gql_intruder

624ad97d44650642497aa9c07f8d41a31d4c5521

[ "MIT" ]

11

2020-11-26T09:09:52.000Z

2022-03-08T22:08:42.000Z

plugins/__init__.py

davinerd/gql_intruder

624ad97d44650642497aa9c07f8d41a31d4c5521

[ "MIT" ]

3

2020-11-29T23:09:51.000Z

2020-12-15T08:37:30.000Z

plugins/__init__.py

davinerd/gql_intruder

624ad97d44650642497aa9c07f8d41a31d4c5521

[ "MIT" ]

null

from plugins.intruder.intruder import Intruder from plugins.dump.dump import Dump

40.5

46

0.864198

12

81

5.833333

0.416667

0.314286

0

0.08642

81

2

47

40.5

0.945946

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

104743848e0f121c13b1dd2d2ab96c0be429ec8d

40

py

Python

app/keyboards/default/__init__.py

AmaRocket/AmaRocket-MovieBuddyBot

0dec956cefb054cb44d7f1139cd9aee54f7c154e

[ "MIT" ]

null

app/keyboards/default/__init__.py

AmaRocket/AmaRocket-MovieBuddyBot

0dec956cefb054cb44d7f1139cd9aee54f7c154e

[ "MIT" ]

null

app/keyboards/default/__init__.py

AmaRocket/AmaRocket-MovieBuddyBot

0dec956cefb054cb44d7f1139cd9aee54f7c154e

[ "MIT" ]

null

from .menu import totalkb, vote_average

20

39

0.825

6

40

5.333333

1

0

0.125

40

1

40

0.914286

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

1082ce40e3878c93ab08c5f7d87cb7d3222005ca

71

py

Python

src/_user/_user.py

LeonardoCruzx/django-rest-starter

05ec156f248980f4f3bbe8039fd360a687dbb5df

[ "MIT" ]

7

2020-09-08T21:45:01.000Z

2020-11-30T16:45:32.000Z

src/_user/_user.py

LeonardoCruzx/django-rest-starter

05ec156f248980f4f3bbe8039fd360a687dbb5df

[ "MIT" ]

null

src/_user/_user.py

LeonardoCruzx/django-rest-starter

05ec156f248980f4f3bbe8039fd360a687dbb5df

[ "MIT" ]

null

from _template.template import Template class User(Template): pass

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6

10894d2edfb949748d1326c43e87cc533dfd602e

5,051

py

Python

gimmebio/stat_strains/tests/test_stat_strain.py

Chandrima-04/gimmebio

cb3e66380006d5c5c00ff70bfb87317dd252c312

[ "MIT" ]

3

2020-01-21T23:49:55.000Z

2020-07-29T17:02:30.000Z

gimmebio/stat_strains/tests/test_stat_strain.py

Chandrima-04/gimmebio

cb3e66380006d5c5c00ff70bfb87317dd252c312

[ "MIT" ]

null

gimmebio/stat_strains/tests/test_stat_strain.py

Chandrima-04/gimmebio

cb3e66380006d5c5c00ff70bfb87317dd252c312

[ "MIT" ]

4

2020-01-21T16:48:17.000Z

2020-03-13T15:34:52.000Z

"""Test suite for stat strain.""" from unittest import TestCase import pandas as pd from os.path import dirname, join, basename from gimmebio.stat_strains import ( entropy_reduce_position_matrix, entropy_reduce_postion_matrices, parallel_entropy_reduce_postion_matrices, fast_entropy_reduce_postion_matrices, ) from gimmebio.stat_strains.metrics import scaling_manhattan MATRIX_1_FILENAME = join(dirname(__file__), 'NC_006085.1_cds_WP_002515220.1_751.counts.txt.gz') MATRIX_2_FILENAME = join(dirname(__file__), 'NC_006085.1_cds_WP_002516475.1_2279.counts.txt.gz') MATRIX_3_FILENAME = join(dirname(__file__), 'NC_006085.1_cds_WP_002515415.1_1951.counts.txt.gz') ONE_COL_FILENAME = join(dirname(__file__), 'count_matrix_with_one_col.csv') NULL_FILENAME = join(dirname(__file__), 'null_count_matrix.csv') def _parse_matrix(filehandle): matrix = pd.read_csv(filehandle, index_col=0, header=0) pref = basename(filehandle) + '__' matrix.columns = [pref + el for el in matrix.columns] return matrix def trivial_metric(x, y): return 0. class TestStatStrain(TestCase): """Test suite for ram seq.""" def test_trivial_reduce_entropy_full_reduce(self): """Test that we only get 1 column.""" original = pd.read_csv(MATRIX_1_FILENAME, index_col=0, header=0) full_reduced = entropy_reduce_position_matrix( original, 1, trivial_metric ) self.assertEqual(full_reduced.shape[0], original.shape[0]) self.assertEqual(full_reduced.shape[1], 1) def test_reduce_entropy_reduce(self): """Test that we only get 1 column.""" original = pd.read_csv(MATRIX_1_FILENAME, index_col=0, header=0) full_reduced = entropy_reduce_position_matrix( original, 0.1, 'cosine' ) self.assertEqual(full_reduced.shape[0], original.shape[0]) self.assertLess(full_reduced.shape[1], original.shape[1]) def test_reduce_entropy_reduce_2(self): """Test that we only get 1 column.""" original = pd.read_csv(MATRIX_3_FILENAME, index_col=0, header=0) full_reduced = entropy_reduce_position_matrix( original, 0.1, 'cosine' ) self.assertEqual(full_reduced.shape[0], original.shape[0]) self.assertLess(full_reduced.shape[1], original.shape[1]) def test_reduce_two_matrices_trivial_full_reduce(self): def _parse_matrix(filehandle): matrix = pd.read_csv(filehandle, index_col=0, header=0) pref = basename(filehandle) + '__' matrix.columns = [pref + el for el in matrix.columns] return matrix full_reduced = entropy_reduce_postion_matrices( [MATRIX_1_FILENAME, MATRIX_2_FILENAME], 1, trivial_metric, matrix_parser=_parse_matrix ) self.assertEqual(full_reduced.shape[1], 1) def _test_parallel_reduce_two_matrices_trivial_full_reduce(self): full_reduced = parallel_entropy_reduce_postion_matrices( [MATRIX_1_FILENAME, MATRIX_2_FILENAME], 1, trivial_metric, matrix_parser=_parse_matrix, threads=4, ) self.assertEqual(full_reduced.shape[1], 1920) def test_fast_reduce_two_matrices_trivial_full_reduce(self): full_reduced = fast_entropy_reduce_postion_matrices( [MATRIX_1_FILENAME, MATRIX_2_FILENAME], 1, trivial_metric, matrix_parser=_parse_matrix, ) self.assertEqual(full_reduced.shape[1], 1920) def test_reduce_null_matrix_is_empty(self): """Test that we only get 1 column.""" original = pd.read_csv(NULL_FILENAME, index_col=0, header=0) full_reduced = entropy_reduce_position_matrix( original, 1, trivial_metric ) self.assertEqual(full_reduced.shape[0], original.shape[0]) self.assertEqual(full_reduced.shape[1], 0) def test_fast_reduce_first_matrix_one_col(self): full_reduced = fast_entropy_reduce_postion_matrices( [ONE_COL_FILENAME, MATRIX_1_FILENAME, MATRIX_2_FILENAME], 0.1, 'cosine', matrix_parser=_parse_matrix, ) self.assertGreater(full_reduced.shape[1], 1) def test_fast_reduce_first_matrix_null(self): full_reduced = fast_entropy_reduce_postion_matrices( [NULL_FILENAME, ONE_COL_FILENAME, MATRIX_1_FILENAME, MATRIX_2_FILENAME], 0.1, 'cosine', matrix_parser=_parse_matrix, ) self.assertGreater(full_reduced.shape[1], 1) def test_fast_reduce_with_matrix_null(self): full_reduced = fast_entropy_reduce_postion_matrices( [MATRIX_1_FILENAME, NULL_FILENAME, MATRIX_2_FILENAME], 0.1, 'cosine', matrix_parser=_parse_matrix, ) self.assertGreater(full_reduced.shape[1], 1)

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6

10ab7483ea6383cb4d0963392e90e1d0e8cfb751

3,191

py

Python

migrations/versions/48a922151dd4_correct_test_schemas.py

vault-the/changes

37e23c3141b75e4785cf398d015e3dbca41bdd56

[ "Apache-2.0" ]

443

2015-01-03T16:28:39.000Z

2021-04-26T16:39:46.000Z

migrations/versions/48a922151dd4_correct_test_schemas.py

vault-the/changes

37e23c3141b75e4785cf398d015e3dbca41bdd56

[ "Apache-2.0" ]

12

2015-07-30T19:07:16.000Z

2016-11-07T23:11:21.000Z

migrations/versions/48a922151dd4_correct_test_schemas.py

vault-the/changes

37e23c3141b75e4785cf398d015e3dbca41bdd56

[ "Apache-2.0" ]

47

2015-01-09T10:04:00.000Z

2020-11-18T17:58:19.000Z

"""Correct Test schemas Revision ID: 48a922151dd4 Revises: 2b71d67ef04d Create Date: 2013-11-07 13:12:14.375337 """ # revision identifiers, used by Alembic. revision = '48a922151dd4' down_revision = '2b71d67ef04d' from alembic import op import sqlalchemy as sa from sqlalchemy import text from sqlalchemy.dialects import postgresql def upgrade(): ### commands auto generated by Alembic - please adjust! ### op.execute('UPDATE testgroup SET result = 0 WHERE result IS NULL') op.execute('UPDATE test SET result = 0 WHERE result IS NULL') op.execute('UPDATE testgroup SET num_failed = 0 WHERE num_failed IS NULL') op.execute('UPDATE testgroup SET num_tests = 0 WHERE num_tests IS NULL') op.alter_column('test', 'date_created', existing_type=postgresql.TIMESTAMP(), nullable=False) op.alter_column('test', 'result', existing_type=sa.INTEGER(), server_default=text('0'), nullable=False) op.alter_column('testgroup', 'date_created', existing_type=postgresql.TIMESTAMP(), nullable=False) op.alter_column('testgroup', 'name', existing_type=sa.TEXT(), nullable=False) op.alter_column('testgroup', 'num_failed', existing_type=sa.INTEGER(), server_default=text('0'), nullable=False) op.alter_column('testgroup', 'num_tests', existing_type=sa.INTEGER(), server_default=text('0'), nullable=False) op.alter_column('testgroup', 'result', existing_type=sa.INTEGER(), server_default=text('0'), nullable=False) op.alter_column('testsuite', 'date_created', existing_type=postgresql.TIMESTAMP(), nullable=False) op.alter_column('testsuite', 'name', existing_type=sa.TEXT(), nullable=False) ### end Alembic commands ### def downgrade(): ### commands auto generated by Alembic - please adjust! ### op.alter_column('testsuite', 'name', existing_type=sa.TEXT(), nullable=True) op.alter_column('testsuite', 'date_created', existing_type=postgresql.TIMESTAMP(), nullable=True) op.alter_column('testgroup', 'result', existing_type=sa.INTEGER(), nullable=True) op.alter_column('testgroup', 'num_tests', existing_type=sa.INTEGER(), nullable=True) op.alter_column('testgroup', 'num_failed', existing_type=sa.INTEGER(), nullable=True) op.alter_column('testgroup', 'name', existing_type=sa.TEXT(), nullable=True) op.alter_column('testgroup', 'date_created', existing_type=postgresql.TIMESTAMP(), nullable=True) op.alter_column('test', 'result', existing_type=sa.INTEGER(), nullable=True) op.alter_column('test', 'date_created', existing_type=postgresql.TIMESTAMP(), nullable=True) ### end Alembic commands ###

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0.696121

0

0.026235

0.283297

3,191

89

79

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null

0

1

0

1

0

null

0

6

529ff80e9a0efedce4ac5cdbd9fd617f7ef867cf

152

py

Python

mlpipe/utils.py

guanyilun/mlpipe

7e739f6b4307db5350e9601a36f415ecf77a62c2

[ "MIT" ]

1

2020-10-27T09:48:47.000Z

mlpipe/utils.py

guanyilun/mlpipe

7e739f6b4307db5350e9601a36f415ecf77a62c2

[ "MIT" ]

3

2018-12-01T02:20:18.000Z

2021-11-15T17:48:01.000Z

mlpipe/utils.py

guanyilun/mlpipe

7e739f6b4307db5350e9601a36f415ecf77a62c2

[ "MIT" ]

4

2018-11-27T22:11:04.000Z

2019-10-01T16:15:34.000Z

import numpy as np def to_categorical(y, num_classes): """ 1-hot encodes a tensor """ return np.eye(num_classes, dtype='int')[y.astype('int')]

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0.007874

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152

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null

0

1

0

1

0

1

0

6

52e005d6d28382b2a4238c10d88cfe8e67258195

20,478

py

Python

test/hummingbot/connector/exchange/binance/test_binance_api_order_book_data_source.py

joedomino874/hummingbot

cb3ee5a30a2feb0a55ceca9d200c59662d7e3057

[ "Apache-2.0" ]

3,027

2019-04-04T18:52:17.000Z

2022-03-30T09:38:34.000Z

test/hummingbot/connector/exchange/binance/test_binance_api_order_book_data_source.py

joedomino874/hummingbot

cb3ee5a30a2feb0a55ceca9d200c59662d7e3057

[ "Apache-2.0" ]

4,080

2019-04-04T19:51:11.000Z

2022-03-31T23:45:21.000Z

test/hummingbot/connector/exchange/binance/test_binance_api_order_book_data_source.py

joedomino874/hummingbot

cb3ee5a30a2feb0a55ceca9d200c59662d7e3057

[ "Apache-2.0" ]

1,342

2019-04-04T20:50:53.000Z

2022-03-31T15:22:36.000Z

import asyncio import re import ujson import unittest import hummingbot.connector.exchange.binance.binance_constants as CONSTANTS import hummingbot.connector.exchange.binance.binance_utils as utils from aioresponses.core import aioresponses from typing import ( Any, Dict, List, ) from unittest.mock import AsyncMock, patch from hummingbot.core.api_throttler.async_throttler import AsyncThrottler from hummingbot.core.data_type.order_book import OrderBook from hummingbot.core.data_type.order_book_message import OrderBookMessage from hummingbot.connector.exchange.binance.binance_api_order_book_data_source import BinanceAPIOrderBookDataSource from test.hummingbot.connector.network_mocking_assistant import NetworkMockingAssistant class BinanceAPIOrderBookDataSourceUnitTests(unittest.TestCase): # logging.Level required to receive logs from the data source logger level = 0 @classmethod def setUpClass(cls) -> None: super().setUpClass() cls.ev_loop = asyncio.get_event_loop() cls.base_asset = "COINALPHA" cls.quote_asset = "HBOT" cls.trading_pair = f"{cls.base_asset}-{cls.quote_asset}" cls.ex_trading_pair = cls.base_asset + cls.quote_asset cls.domain = "com" def setUp(self) -> None: super().setUp() self.log_records = [] self.listening_task = None self.mocking_assistant = NetworkMockingAssistant() self.throttler = AsyncThrottler(rate_limits=CONSTANTS.RATE_LIMITS) self.data_source = BinanceAPIOrderBookDataSource(trading_pairs=[self.trading_pair], throttler=self.throttler, domain=self.domain) self.data_source.logger().setLevel(1) self.data_source.logger().addHandler(self) self.resume_test_event = asyncio.Event() def tearDown(self) -> None: self.listening_task and self.listening_task.cancel() super().tearDown() def handle(self, record): self.log_records.append(record) def _is_logged(self, log_level: str, message: str) -> bool: return any(record.levelname == log_level and record.getMessage() == message for record in self.log_records) def _raise_exception(self, exception_class): raise exception_class def _create_exception_and_unlock_test_with_event(self, exception): self.resume_test_event.set() raise exception def _successfully_subscribed_event(self): resp = { "result": None, "id": 1 } return resp def _trade_update_event(self): resp = { "e": "trade", "E": 123456789, "s": self.ex_trading_pair, "t": 12345, "p": "0.001", "q": "100", "b": 88, "a": 50, "T": 123456785, "m": True, "M": True } return resp def _order_diff_event(self): resp = { "e": "depthUpdate", "E": 123456789, "s": self.ex_trading_pair, "U": 157, "u": 160, "b": [["0.0024", "10"]], "a": [["0.0026", "100"]] } return resp def _snapshot_response(self): resp = { "lastUpdateId": 1027024, "bids": [ [ "4.00000000", "431.00000000" ] ], "asks": [ [ "4.00000200", "12.00000000" ] ] } return resp @aioresponses() def test_get_last_trade_prices(self, mock_api): url = utils.public_rest_url(path_url=CONSTANTS.TICKER_PRICE_CHANGE_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_response: Dict[str, Any] = { # Truncated Response "lastPrice": "100", } mock_api.get(regex_url, body=ujson.dumps(mock_response)) result: Dict[str, float] = self.ev_loop.run_until_complete( self.data_source.get_last_traded_prices(trading_pairs=[self.trading_pair], throttler=self.throttler) ) self.assertEqual(1, len(result)) self.assertEqual(100, result[self.trading_pair]) @aioresponses() @patch("hummingbot.connector.exchange.binance.binance_utils.convert_from_exchange_trading_pair") def test_get_all_mid_prices(self, mock_api, mock_utils): # Mocks binance_utils for BinanceOrderBook.diff_message_from_exchange() mock_utils.return_value = self.trading_pair url = utils.public_rest_url(path_url=CONSTANTS.TICKER_PRICE_CHANGE_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_response: List[Dict[str, Any]] = [{ # Truncated Response "symbol": self.ex_trading_pair, "bidPrice": "99", "askPrice": "101", }] mock_api.get(regex_url, body=ujson.dumps(mock_response)) result: Dict[str, float] = self.ev_loop.run_until_complete( self.data_source.get_all_mid_prices() ) self.assertEqual(1, len(result)) self.assertEqual(100, result[self.trading_pair]) @aioresponses() @patch("hummingbot.connector.exchange.binance.binance_utils.convert_from_exchange_trading_pair") def test_fetch_trading_pairs(self, mock_api, mock_utils): # Mocks binance_utils for BinanceOrderBook.diff_message_from_exchange() mock_utils.return_value = self.trading_pair url = utils.public_rest_url(path_url=CONSTANTS.EXCHANGE_INFO_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_response: Dict[str, Any] = { # Truncated Response "symbols": [ { "symbol": self.ex_trading_pair, "status": "TRADING", "baseAsset": self.base_asset, "quoteAsset": self.quote_asset, }, ] } mock_api.get(regex_url, body=ujson.dumps(mock_response)) result: Dict[str] = self.ev_loop.run_until_complete( self.data_source.fetch_trading_pairs() ) self.assertEqual(1, len(result)) self.assertTrue(self.trading_pair in result) @aioresponses() @patch("hummingbot.connector.exchange.binance.binance_utils.convert_from_exchange_trading_pair") def test_fetch_trading_pairs_exception_raised(self, mock_api, mock_utils): # Mocks binance_utils for BinanceOrderBook.diff_message_from_exchange() mock_utils.return_value = self.trading_pair url = utils.public_rest_url(path_url=CONSTANTS.EXCHANGE_INFO_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_api.get(regex_url, exception=Exception) result: Dict[str] = self.ev_loop.run_until_complete( self.data_source.fetch_trading_pairs() ) self.assertEqual(0, len(result)) def test_get_throttler_instance(self): self.assertIsInstance(BinanceAPIOrderBookDataSource._get_throttler_instance(), AsyncThrottler) @aioresponses() def test_get_snapshot_successful(self, mock_api): url = utils.public_rest_url(path_url=CONSTANTS.SNAPSHOT_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_api.get(regex_url, body=ujson.dumps(self._snapshot_response())) result: Dict[str, Any] = self.ev_loop.run_until_complete( self.data_source.get_snapshot(self.trading_pair) ) self.assertEqual(self._snapshot_response(), result) @aioresponses() def test_get_snapshot_catch_exception(self, mock_api): url = utils.public_rest_url(path_url=CONSTANTS.SNAPSHOT_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_api.get(regex_url, status=400) with self.assertRaises(IOError): self.ev_loop.run_until_complete( self.data_source.get_snapshot(self.trading_pair) ) @aioresponses() def test_get_new_order_book(self, mock_api): url = utils.public_rest_url(path_url=CONSTANTS.SNAPSHOT_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_response: Dict[str, Any] = { "lastUpdateId": 1, "bids": [ [ "4.00000000", "431.00000000" ] ], "asks": [ [ "4.00000200", "12.00000000" ] ] } mock_api.get(regex_url, body=ujson.dumps(mock_response)) result: OrderBook = self.ev_loop.run_until_complete( self.data_source.get_new_order_book(self.trading_pair) ) self.assertEqual(1, result.snapshot_uid) @patch("aiohttp.ClientSession.ws_connect") def test_create_websocket_connection_cancelled_when_connecting(self, mock_ws): mock_ws.side_effect = asyncio.CancelledError with self.assertRaises(asyncio.CancelledError): self.ev_loop.run_until_complete( self.data_source._create_websocket_connection() ) @patch("aiohttp.ClientSession.ws_connect") def test_create_websocket_connection_exception_raised(self, mock_ws): mock_ws.side_effect = Exception("TEST ERROR.") with self.assertRaises(Exception): self.ev_loop.run_until_complete( self.data_source._create_websocket_connection() ) self.assertTrue(self._is_logged("NETWORK", "Unexpected error occured when connecting to WebSocket server. Error: TEST ERROR.")) @patch("hummingbot.core.data_type.order_book_tracker_data_source.OrderBookTrackerDataSource._sleep") @patch("aiohttp.ClientSession.ws_connect") def test_listen_for_trades_cancelled_when_connecting(self, mock_ws, _: AsyncMock): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.side_effect = asyncio.CancelledError with self.assertRaises(asyncio.CancelledError): self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_trades(self.ev_loop, msg_queue) ) self.ev_loop.run_until_complete(self.listening_task) @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_trades_exception_raised_when_connecting(self, mock_ws): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.side_effect = lambda **_: self._create_exception_and_unlock_test_with_event(Exception("TEST ERROR.")) self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_trades(self.ev_loop, msg_queue) ) self.ev_loop.run_until_complete(self.resume_test_event.wait()) self.assertTrue(self._is_logged("NETWORK", "Unexpected error occured when connecting to WebSocket server. Error: TEST ERROR.")) self.assertTrue(self._is_logged("ERROR", "Unexpected error with WebSocket connection. Retrying after 30 seconds...")) @patch("hummingbot.core.data_type.order_book_tracker_data_source.OrderBookTrackerDataSource._sleep") @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_trades_cancelled_when_listening(self, mock_ws, _: AsyncMock): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.return_value = self.mocking_assistant.create_websocket_mock() mock_ws.return_value.receive_json.side_effect = lambda: ( self._raise_exception(asyncio.CancelledError) ) with self.assertRaises(asyncio.CancelledError): self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_trades(self.ev_loop, msg_queue) ) self.ev_loop.run_until_complete(self.listening_task) @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_trades_logs_exception(self, mock_ws): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.return_value = self.mocking_assistant.create_websocket_mock() mock_ws.close.return_value = None incomplete_resp = { "m": 1, "i": 2, } self.mocking_assistant.add_websocket_json_message(mock_ws.return_value, incomplete_resp) self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_trades(self.ev_loop, msg_queue) ) with self.assertRaises(asyncio.TimeoutError): self.ev_loop.run_until_complete( asyncio.wait_for(self.listening_task, 1) ) self.assertTrue(self._is_logged("ERROR", "Unexpected error with WebSocket connection. Retrying after 30 seconds...")) @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_trades_iter_message_throws_exception(self, mock_ws): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.return_value = self.mocking_assistant.create_websocket_mock() mock_ws.return_value.receive_json.side_effect = lambda: self._raise_exception(Exception("TEST ERROR")) mock_ws.close.return_value = None self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_trades(self.ev_loop, msg_queue) ) with self.assertRaises(asyncio.TimeoutError): self.ev_loop.run_until_complete( asyncio.wait_for(self.listening_task, 1) ) self.assertTrue(self._is_logged("NETWORK", "Unexpected error occured when parsing websocket payload. Error: TEST ERROR")) self.assertTrue(self._is_logged("ERROR", "Unexpected error with WebSocket connection. Retrying after 30 seconds...")) @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_trades_successful(self, mock_ws): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.return_value = self.mocking_assistant.create_websocket_mock() mock_ws.close.return_value = None self.mocking_assistant.add_websocket_json_message(mock_ws.return_value, self._successfully_subscribed_event()) self.mocking_assistant.add_websocket_json_message(mock_ws.return_value, self._trade_update_event()) self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_trades(self.ev_loop, msg_queue) ) msg: OrderBookMessage = self.ev_loop.run_until_complete(msg_queue.get()) self.assertTrue(12345, msg.trade_id) @patch("hummingbot.core.data_type.order_book_tracker_data_source.OrderBookTrackerDataSource._sleep") @patch("aiohttp.ClientSession.ws_connect") def test_listen_for_order_book_diffs_cancelled_when_connecting(self, mock_ws, _: AsyncMock): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.side_effect = asyncio.CancelledError with self.assertRaises(asyncio.CancelledError): self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_order_book_diffs(self.ev_loop, msg_queue) ) self.ev_loop.run_until_complete(self.listening_task) @patch("hummingbot.core.data_type.order_book_tracker_data_source.OrderBookTrackerDataSource._sleep") @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_order_book_diffs_cancelled_when_listening(self, mock_ws, _: AsyncMock): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.return_value = self.mocking_assistant.create_websocket_mock() mock_ws.return_value.receive_json.side_effect = lambda: ( self._raise_exception(asyncio.CancelledError) ) with self.assertRaises(asyncio.CancelledError): self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_order_book_diffs(self.ev_loop, msg_queue) ) self.ev_loop.run_until_complete(self.listening_task) @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_order_book_diffs_logs_exception(self, mock_ws): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.return_value = self.mocking_assistant.create_websocket_mock() mock_ws.close.return_value = None incomplete_resp = { "m": 1, "i": 2, } self.mocking_assistant.add_websocket_json_message(mock_ws.return_value, incomplete_resp) self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_order_book_diffs(self.ev_loop, msg_queue) ) with self.assertRaises(asyncio.TimeoutError): self.ev_loop.run_until_complete( asyncio.wait_for(self.listening_task, 1) ) self.assertTrue(self._is_logged("ERROR", "Unexpected error with WebSocket connection. Retrying after 30 seconds...")) @patch("aiohttp.ClientSession.ws_connect", new_callable=AsyncMock) def test_listen_for_order_book_diffs_successful(self, mock_ws): msg_queue: asyncio.Queue = asyncio.Queue() mock_ws.return_value = self.mocking_assistant.create_websocket_mock() mock_ws.close.return_value = None self.mocking_assistant.add_websocket_json_message(mock_ws.return_value, self._successfully_subscribed_event()) self.mocking_assistant.add_websocket_json_message(mock_ws.return_value, self._order_diff_event()) self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_order_book_diffs(self.ev_loop, msg_queue) ) msg: OrderBookMessage = self.ev_loop.run_until_complete(msg_queue.get()) self.assertTrue(12345, msg.update_id) @aioresponses() def test_listen_for_order_book_snapshots_cancelled_when_fetching_snapshot(self, mock_api): url = utils.public_rest_url(path_url=CONSTANTS.SNAPSHOT_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_api.get(regex_url, exception=asyncio.CancelledError) with self.assertRaises(asyncio.CancelledError): self.ev_loop.run_until_complete( self.data_source.listen_for_order_book_snapshots(self.ev_loop, asyncio.Queue()) ) @aioresponses() def test_listen_for_order_book_snapshots_log_exception(self, mock_api): msg_queue: asyncio.Queue = asyncio.Queue() url = utils.public_rest_url(path_url=CONSTANTS.SNAPSHOT_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_api.get(regex_url, exception=Exception) self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_order_book_snapshots(self.ev_loop, msg_queue) ) with self.assertRaises(asyncio.TimeoutError): self.ev_loop.run_until_complete( asyncio.wait_for(self.listening_task, 1) ) self.assertTrue(self._is_logged("ERROR", f"Unexpected error fetching order book snapshot for {self.trading_pair}.")) @aioresponses() def test_listen_for_order_book_snapshots_successful(self, mock_api,): msg_queue: asyncio.Queue = asyncio.Queue() url = utils.public_rest_url(path_url=CONSTANTS.SNAPSHOT_PATH_URL, domain=self.domain) regex_url = re.compile(f"^{url}".replace(".", r"\.").replace("?", r"\?")) mock_api.get(regex_url, body=ujson.dumps(self._snapshot_response())) self.listening_task = self.ev_loop.create_task( self.data_source.listen_for_order_book_snapshots(self.ev_loop, msg_queue) ) msg: OrderBookMessage = self.ev_loop.run_until_complete(msg_queue.get()) self.assertTrue(12345, msg.update_id)

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0.662418

2,415

20,478

5.276605

0.101449

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0.022444

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0

null

0

1

0

null

0

6

52fcc236ab1ec341a2c5ad81f2d559510db84e04

3,933

py

Python

tests/test_hdr.py

knownboyofno/PySIPmath

22521d0acaa74250fb7684b8eedbb3e6d044b4af

[ "MIT" ]

2

2021-11-11T03:47:58.000Z

2021-11-19T07:46:24.000Z

tests/test_hdr.py

knownboyofno/PySIPmath

22521d0acaa74250fb7684b8eedbb3e6d044b4af

[ "MIT" ]

null

tests/test_hdr.py

knownboyofno/PySIPmath

22521d0acaa74250fb7684b8eedbb3e6d044b4af

[ "MIT" ]

3

2021-11-11T18:14:04.000Z

2021-11-22T07:53:30.000Z

import unittest from unittest.mock import ANY, patch from pandas import DataFrame import PySIP from tests.fixtures.fit import fit_fixture class HDRTestSuite(unittest.TestCase): """Basic test cases.""" @patch("metalog.metalog.fit") @patch("json.dump") @patch("builtins.open") def test_Json_contains_hdr_data(self, mock_open, mock_dump, mock_fit): mock_fit.return_value = fit_fixture() fixture = DataFrame(data={ "Accounts": [10.24313638, 13.69812026, 12.62841292, 2.890162231, 7.60269451], "Products": [7.00895936, 11.61220758, 5.07099725, 7.542072262, 13.37670202], }) PySIP.Json(fixture, "foo.json", "bar") self.assertDictEqual({ 'arguments': { 'counter': 'PM_Index', 'entity': 1, 'seed3': 0, 'seed4': 0, 'varId': ANY }, 'function': 'HDR_2_0', 'name': 'hdr1' }, mock_dump.call_args[0][0]["U01"]["rng"][0]) @patch("metalog.metalog.fit") @patch("json.dump") @patch("builtins.open") def test_Json_calls_out_to_metalog_fit_properly(self, mock_open, mock_dump, mock_fit): mock_fit.return_value = fit_fixture() fixture = DataFrame(data={ "Accounts": [10.24313638, 13.69812026, 12.62841292, 2.890162231, 7.60269451], "Products": [7.00895936, 11.61220758, 5.07099725, 7.542072262, 13.37670202], }) PySIP.Json(fixture, "foo.json", "bar") mock_fit.assert_called_with( ANY, bounds=[0, 1], boundedness='u', term_limit=5, term_lower_bound=5 ) @patch("metalog.metalog.fit") @patch("json.dump") @patch("builtins.open") def test_Json_contains_hdr_data_even_when_dependent(self, mock_open, mock_dump, mock_fit): mock_fit.return_value = fit_fixture() fixture = DataFrame(data={ "Accounts": [10.24313638, 13.69812026, 12.62841292, 2.890162231, 7.60269451], "Products": [7.00895936, 11.61220758, 5.07099725, 7.542072262, 13.37670202], }) PySIP.Json(fixture, "foo.json", "bar", dependence="dependent") self.assertDictEqual({ 'arguments': { 'counter': 'PM_Index', 'entity': 1, 'seed3': 0, 'seed4': 0, 'varId': ANY }, 'function': 'HDR_2_0', 'name': 'hdr1' }, mock_dump.call_args[0][0]["U01"]["rng"][0]) @patch("metalog.metalog.fit") @patch("json.dump") @patch("builtins.open") def test_Json_respects_provided_seeds(self, mock_open, mock_dump, mock_fit): mock_fit.return_value = fit_fixture() provided_seeds = [1, 2, 3, 4, 5] fixture = DataFrame(data={ "Accounts": [10.24313638, 13.69812026, 12.62841292, 2.890162231, 7.60269451], "Products": [7.00895936, 11.61220758, 5.07099725, 7.542072262, 13.37670202], }) PySIP.Json(fixture, "foo.json", "bar", seeds=provided_seeds) self.assertListEqual(provided_seeds, mock_dump.call_args[0][0]["U01"]["rng"]) @patch("builtins.print") @patch("metalog.metalog.fit") @patch("json.dump") @patch("builtins.open") def test_Json_reminds_minimum_number_of_provided_seeds(self, mock_open, mock_dump, mock_fit, mock_print): mock_fit.return_value = fit_fixture() provided_seeds = [1] fixture = DataFrame(data={ "Accounts": [10.24313638, 13.69812026, 12.62841292, 2.890162231, 7.60269451], "Products": [7.00895936, 11.61220758, 5.07099725, 7.542072262, 13.37670202], }) PySIP.Json(fixture, "foo.json", "bar", seeds=provided_seeds) print.assert_called_with( "RNG list length must be equal to or greater than the number of SIPs.") if __name__ == '__main__': unittest.main()

37.103774

109

0.59522

471

3,933

4.770701

0.235669

0.034268

0.042279

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0

0.179733

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105

110

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0

null

0

1

0

1

0

null

0

6

eab163c4808338f3a52d44ece55b6a061c5a7e63

177

py

Python

data_structures/tree_based/binary_search_tree/test.py

kwahome/data-structures-and-algos

535b23c63bf384d63c1ebc08d1c32d3dd808297c

[ "Apache-2.0" ]

null

data_structures/tree_based/binary_search_tree/test.py

kwahome/data-structures-and-algos

535b23c63bf384d63c1ebc08d1c32d3dd808297c

[ "Apache-2.0" ]

null

data_structures/tree_based/binary_search_tree/test.py

kwahome/data-structures-and-algos

535b23c63bf384d63c1ebc08d1c32d3dd808297c

[ "Apache-2.0" ]

null

import unittest class BinarySearchTreeTests(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_tree(self): pass

13.615385

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177

5.789474

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0.2

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177

12

48

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null

0

1

0

1

0

1

0

6

dc4260cf8f20bea302a69e09b4b826fc26dd7426

49

py

Python

mw2fcitx/utils/dedup.py

outloudvi/mw2fcitx

a4fbbcd5e8068ee1f08714f0e18b46c8b289a42c

[ "Unlicense" ]

67

2020-08-13T13:58:03.000Z

2022-03-29T11:33:51.000Z

mw2fcitx/utils/dedup.py

outloudvi/fcitx5-pinyin-moegirl

c62d3f7d049143a4d8726f408bdd345f53ff3347

[ "Unlicense" ]

5

2020-11-16T01:48:32.000Z

2022-02-18T08:04:32.000Z

mw2fcitx/utils/dedup.py

outloudvi/fcitx5-pinyin-moegirl

c62d3f7d049143a4d8726f408bdd345f53ff3347

[ "Unlicense" ]

3

2020-10-08T15:44:30.000Z

2022-03-23T12:40:11.000Z

def dedup(arr: [str]): return list(set(arr))

16.333333

25

0.612245

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49

3.75

0.875

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0.183673

49

2

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24.5

0.75

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false

0

0.5

1

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1

0

null

0

1

0

null

0

1

0

1

0

6

dc43ffaa60bfc3f0fb4727078290ad21f4802644

72

py

Python

polaritymodel/__init__.py

tsmbland/Model

40c66fa2f16821bd0e1eab2a1c09026782c1965d

[ "MIT" ]

null

polaritymodel/__init__.py

tsmbland/Model

40c66fa2f16821bd0e1eab2a1c09026782c1965d

[ "MIT" ]

null

polaritymodel/__init__.py

tsmbland/Model

40c66fa2f16821bd0e1eab2a1c09026782c1965d

[ "MIT" ]

null

from .interactive import * from .paramspace import * from .pde import *

18

26

0.75

9

72

6

0.555556

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0.166667

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true

0

1

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1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

dc6e3f770dec3610379cbe3d5b98d563d85e9c9a

48

py

Python

tools/debug/debug.py

DJNing/CenterPoint-KITTI

44630bc7d60c469a192c7a29178d580196a7410d

[ "Apache-2.0" ]

null

tools/debug/debug.py

DJNing/CenterPoint-KITTI

44630bc7d60c469a192c7a29178d580196a7410d

[ "Apache-2.0" ]

null

tools/debug/debug.py

DJNing/CenterPoint-KITTI

44630bc7d60c469a192c7a29178d580196a7410d

[ "Apache-2.0" ]

null

import os import numpy as np ts = 164318121300

12

18

0.770833

8

48

4.625

0.875

0

0.315789

0.208333

48

4

19

12

0.657895

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

f4b1d82f7fc300b1885ed291152676977a923bc6

124

py

Python

tests/conftest.py

davidolrik/python-swt

8ab72861daaaa5abc85c239182822893d5f56e8d

[ "MIT" ]

4

2020-05-28T11:32:57.000Z

2020-10-01T05:51:16.000Z

tests/conftest.py

davidolrik/python-swt

8ab72861daaaa5abc85c239182822893d5f56e8d

[ "MIT" ]

null

tests/conftest.py

davidolrik/python-swt

8ab72861daaaa5abc85c239182822893d5f56e8d

[ "MIT" ]

null

import pytest from swt import __version__ def pytest_report_header(config): return f"project version: {__version__}"

15.5

44

0.782258

16

124

5.4375

0.75

0

0.153226

124

7

45

17.714286

0.828571

0

0.241935

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

f4f6ec9622d19691911989330ec277037663d8e8

46

py

Python

pyimapsync/__init__.py

pyscioffice/pyimapsync

c21bdf4002930756224171b6ee43cb40fc750262

[ "BSD-3-Clause" ]

null

pyimapsync/__init__.py

pyscioffice/pyimapsync

c21bdf4002930756224171b6ee43cb40fc750262

[ "BSD-3-Clause" ]

null

pyimapsync/__init__.py

pyscioffice/pyimapsync

c21bdf4002930756224171b6ee43cb40fc750262

[ "BSD-3-Clause" ]

1

2022-01-22T17:37:38.000Z

from pyimapsync.shared import transfer_emails

23

45

0.891304

6

46

6.666667

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46

1

46

0.952381

0

1

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1

0

1

0

1

0

null

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0

null

0

1

0

1

0

1

0

6

5215e51ac85d8b62ea480df4911bcd8cbb5f2da4

27

py

Python

src/euler_python_package/euler_python/medium/p376.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

src/euler_python_package/euler_python/medium/p376.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

src/euler_python_package/euler_python/medium/p376.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

def problem376(): pass

9

17

0.62963

3

27

5.666667

1

0

0.15

0.259259

27

2

18

13.5

0.7

0

1

0.5

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

6

52278dca6f63d5db48275638b83cca3aa4ac4095

121

py

Python

demes/convert/__init__.py

noscode/demes

5d300a8f5b5e260b828ae2cc7a78ab9ebf3bebba

[ "0BSD" ]

null

demes/convert/__init__.py

noscode/demes

5d300a8f5b5e260b828ae2cc7a78ab9ebf3bebba

[ "0BSD" ]

33

2021-07-08T20:01:40.000Z

2022-03-01T21:11:10.000Z

demes/convert/__init__.py

apragsdale/demes

c31ee9aca6cd8cfe84622a2f1b12b80c5887ae86

[ "0BSD" ]

null

# flake8: noqa: F401 from .msprime_ import to_msprime, from_msprime from .stdpopsim_ import to_stdpopsim, from_stdpopsim

30.25

52

0.826446

17

121

5.529412

0.470588

0.234043

0

0.037383

0.115702

121

3

53

40.333333

0.841122

0.14876

0

1

0

true

0

1

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1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

6

87151a37414c37bf72f1a358578325b2e5e187d1

5,635

py

Python

pyteal/ast/for_test.py

CiottiGiorgio/pyteal

9646a1aa479786c1e80d6a3821d5db1e6c4a16e2

[ "MIT" ]

null

pyteal/ast/for_test.py

CiottiGiorgio/pyteal

9646a1aa479786c1e80d6a3821d5db1e6c4a16e2

[ "MIT" ]

1

2022-03-04T14:57:57.000Z

pyteal/ast/for_test.py

CiottiGiorgio/pyteal

9646a1aa479786c1e80d6a3821d5db1e6c4a16e2

[ "MIT" ]

null

import pytest import pyteal as pt options = pt.CompileOptions() def test_for_compiles(): i = pt.ScratchVar() expr = pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))).Do( pt.App.globalPut(pt.Itob(pt.Int(0)), pt.Itob(pt.Int(2))) ) assert expr.type_of() == pt.TealType.none assert not expr.has_return() expr.__teal__(options) def test_nested_for_compiles(): i = pt.ScratchVar() expr = pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))).Do( pt.Seq( [ pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))).Do( pt.Seq([i.store(pt.Int(0))]) ) ] ) ) assert expr.type_of() == pt.TealType.none assert not expr.has_return() def test_continue_break(): i = pt.ScratchVar() expr = pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))).Do( pt.Seq([pt.If(pt.Int(1), pt.Break(), pt.Continue())]) ) assert expr.type_of() == pt.TealType.none assert not expr.has_return() expr.__teal__(options) def test_for(): i = pt.ScratchVar() items = [ (i.store(pt.Int(0))), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1)), pt.App.globalPut(pt.Itob(i.load()), i.load() * pt.Int(2)), ] expr = pt.For(items[0], items[1], items[2]).Do(pt.Seq([items[3]])) assert expr.type_of() == pt.TealType.none assert not expr.has_return() expected, varEnd = items[0].__teal__(options) condStart, condEnd = items[1].__teal__(options) stepStart, stepEnd = items[2].__teal__(options) do, doEnd = pt.Seq([items[3]]).__teal__(options) expectedBranch = pt.TealConditionalBlock([]) end = pt.TealSimpleBlock([]) varEnd.setNextBlock(condStart) doEnd.setNextBlock(stepStart) expectedBranch.setTrueBlock(do) expectedBranch.setFalseBlock(end) condEnd.setNextBlock(expectedBranch) stepEnd.setNextBlock(condStart) actual, _ = expr.__teal__(options) assert actual == expected def test_for_continue(): i = pt.ScratchVar() items = [ (i.store(pt.Int(0))), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1)), pt.If(i.load() < pt.Int(4), pt.Continue()), pt.App.globalPut(pt.Itob(i.load()), i.load() * pt.Int(2)), ] expr = pt.For(items[0], items[1], items[2]).Do(pt.Seq([items[3], items[4]])) assert expr.type_of() == pt.TealType.none assert not expr.has_return() options.enterLoop() expected, varEnd = items[0].__teal__(options) condStart, condEnd = items[1].__teal__(options) stepStart, stepEnd = items[2].__teal__(options) do, doEnd = pt.Seq([items[3], items[4]]).__teal__(options) expectedBranch = pt.TealConditionalBlock([]) end = pt.TealSimpleBlock([]) doEnd.setNextBlock(stepStart) stepEnd.setNextBlock(condStart) expectedBranch.setTrueBlock(do) expectedBranch.setFalseBlock(end) condEnd.setNextBlock(expectedBranch) varEnd.setNextBlock(condStart) _, continueBlocks = options.exitLoop() for block in continueBlocks: block.setNextBlock(stepStart) actual, _ = expr.__teal__(options) assert actual == expected def test_for_break(): i = pt.ScratchVar() items = [ (i.store(pt.Int(0))), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1)), pt.If(i.load() == pt.Int(6), pt.Break()), pt.App.globalPut(pt.Itob(i.load()), i.load() * pt.Int(2)), ] expr = pt.For(items[0], items[1], items[2]).Do(pt.Seq([items[3], items[4]])) assert expr.type_of() == pt.TealType.none assert not expr.has_return() options.enterLoop() expected, varEnd = items[0].__teal__(options) condStart, condEnd = items[1].__teal__(options) stepStart, stepEnd = items[2].__teal__(options) do, doEnd = pt.Seq([items[3], items[4]]).__teal__(options) expectedBranch = pt.TealConditionalBlock([]) end = pt.TealSimpleBlock([]) doEnd.setNextBlock(stepStart) stepEnd.setNextBlock(condStart) expectedBranch.setTrueBlock(do) expectedBranch.setFalseBlock(end) condEnd.setNextBlock(expectedBranch) varEnd.setNextBlock(condStart) breakBlocks, _ = options.exitLoop() for block in breakBlocks: block.setNextBlock(end) actual, _ = expr.__teal__(options) assert actual == expected def test_invalid_for(): with pytest.raises(TypeError): expr = pt.For() with pytest.raises(TypeError): expr = pt.For(pt.Int(2)) with pytest.raises(TypeError): expr = pt.For(pt.Int(1), pt.Int(2)) with pytest.raises(pt.TealTypeError): i = pt.ScratchVar() expr = pt.For(i.store(pt.Int(0)), pt.Int(1), pt.Int(2)) expr.__teal__(options) with pytest.raises(pt.TealCompileError): i = pt.ScratchVar() expr = pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))) expr.type_of() with pytest.raises(pt.TealCompileError): i = pt.ScratchVar() expr = pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))) expr.__str__() with pytest.raises(pt.TealTypeError): i = pt.ScratchVar() expr = pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))).Do( pt.Int(0) ) with pytest.raises(pt.TealCompileError): expr = ( pt.For(i.store(pt.Int(0)), pt.Int(1), i.store(i.load() + pt.Int(1))) .Do(pt.Continue()) .Do(pt.Continue()) ) expr.__str__()

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5e84eb2abe4f10ad91f3f954aaff7582a97eab1a

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py

Python

src/my_util/__init__.py

rokkish/unsupervised_trajectory_segmentation

4875bdc532349670d63cbd86a78032cd9cda9631

[ "MIT" ]

null

src/my_util/__init__.py

rokkish/unsupervised_trajectory_segmentation

4875bdc532349670d63cbd86a78032cd9cda9631

[ "MIT" ]

2

2020-10-29T02:29:36.000Z

2021-04-18T12:42:49.000Z

src/my_util/__init__.py

rokkish/unsupervised_trajectory_segmentation

4875bdc532349670d63cbd86a78032cd9cda9631

[ "MIT" ]

null

from my_util.models.segnet_model import MyNet from my_util.trainer import Trainer

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py

Python

altimeter/qj/db/base.py

elliotsegler/altimeter

c3924524938b4bae86b1acda2a4fc3f79ac523ff

[ "MIT" ]

48

2019-11-06T03:20:53.000Z

2022-02-22T21:10:45.000Z

altimeter/qj/db/base.py

elliotsegler/altimeter

c3924524938b4bae86b1acda2a4fc3f79ac523ff

[ "MIT" ]

27

2020-01-07T23:48:30.000Z

2022-02-26T00:24:04.000Z

altimeter/qj/db/base.py

elliotsegler/altimeter

c3924524938b4bae86b1acda2a4fc3f79ac523ff

[ "MIT" ]

21

2019-12-20T03:06:35.000Z

2021-12-15T23:26:00.000Z

"""All modes are imported here such that Base has them before being used. In general Base should be imported from here.""" # noqa # pylint: disable=unused-import from altimeter.qj.db.base_class import BASE from altimeter.qj.models.job import Job from altimeter.qj.models.result_set import ResultSet, Result

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py

Python

pylexitext/engines/__init__.py

vicotrbb/Pylexitext

9b1ed2abf8f8a76204a7db5d1673f2e6ccf62bd2

[ "MIT" ]

4

2021-02-18T01:08:30.000Z

2021-07-08T03:02:53.000Z

pylexitext/engines/__init__.py

vicotrbb/Pylexitext

9b1ed2abf8f8a76204a7db5d1673f2e6ccf62bd2

[ "MIT" ]

null

pylexitext/engines/__init__.py

vicotrbb/Pylexitext

9b1ed2abf8f8a76204a7db5d1673f2e6ccf62bd2

[ "MIT" ]

null

from .search_engine import SearchEngine

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21cfd9564be43465cce543f52615eecc379acbed

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py

Python

src/include/__init__.py

adisve/MFH-GruppProject

78463cbf730137ed3dbbdb472aa99b79bc4363cc

[ "MIT" ]

1

2022-03-10T19:53:42.000Z

src/include/__init__.py

adisve/MFH-GruppProject

78463cbf730137ed3dbbdb472aa99b79bc4363cc

[ "MIT" ]

11

2022-03-05T00:00:51.000Z

2022-03-08T18:14:25.000Z

src/include/__init__.py

adisve/Sustainable-Programming

78463cbf730137ed3dbbdb472aa99b79bc4363cc

[ "MIT" ]

1

2022-02-20T16:09:12.000Z

"""Package that exports game.py module and core game functionality. Modules exported by this package are: game.py Subpackages exported by this package are: utils player """

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21edf996e8c948cd87dc68a30f006ec0fee91c9d

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py

Python

kata/python/kyu_6/replace_with_alphabet_position/solution.py

ckarakoc/codewars

2b1fce935f59d73a6d8309b98ca2c3b310623fe4

[ "MIT" ]

1

2021-06-04T23:24:50.000Z

kata/python/kyu_6/replace_with_alphabet_position/solution.py

ckarakoc/codewars

2b1fce935f59d73a6d8309b98ca2c3b310623fe4

[ "MIT" ]

null

kata/python/kyu_6/replace_with_alphabet_position/solution.py

ckarakoc/codewars

2b1fce935f59d73a6d8309b98ca2c3b310623fe4

[ "MIT" ]

null

import re def alphabet_position(text): return ' '.join(str(ord(c) - 96) for c in re.sub('[^a-zA-Z]', '', text.lower()))

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21f7b61d609cda79179324fbc453d0c5695e148f

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py

Python

python_src/ianna.py

fjpena/sword-of-ianna-msx2

f104f46a677e4b21f42fbed478307a0bb1d372f3

[ "Apache-2.0" ]

43

2017-10-21T23:01:25.000Z

2022-02-21T17:45:11.000Z

python_src/ianna.py

fjpena/sword-of-ianna-msx2

f104f46a677e4b21f42fbed478307a0bb1d372f3

[ "Apache-2.0" ]

null

python_src/ianna.py

fjpena/sword-of-ianna-msx2

f104f46a677e4b21f42fbed478307a0bb1d372f3

[ "Apache-2.0" ]

6

2017-10-23T05:48:50.000Z

2022-01-06T03:11:49.000Z

#!/usr/bin/env python import pygame import pygame.locals import tmxlib import sys import constants import os from tiled_map import * from sev_sprite import * from ianna_entity import * from mapa import * from timer import * from ianna_score import * import gc class IannaGame(): def __init__ (self): self.keyboard=[0,0,0,0,0,0] # 0 is not pressed, 1 is pressed pygame.init() self.screen = pygame.display.set_mode((256*3, 192*3)) pygame.display.set_caption('Ianna - Press F12 to set fullscreen') self.screen.fill((0, 0, 0)) self.buffer = pygame.Surface((256,192)) self.fpsClock = pygame.time.Clock() self.pause_image = pygame.image.load('artwork/pausa.png').convert() def toggle_fullscreen(self): tmp = self.screen.convert() caption = pygame.display.get_caption() cursor = pygame.mouse.get_cursor() w,h = self.screen.get_width(),self.screen.get_height() flags = self.screen.get_flags() bits = self.screen.get_bitsize() pygame.display.quit() pygame.display.init() print "Setting display with "+str(w)+"x"+str(h)+" with "+str(bits)+" bits and "+str(flags)+" as flags" if flags: self.screen = pygame.display.set_mode((w,h),0,bits) else: self.screen = pygame.display.set_mode((w,h),pygame.FULLSCREEN,bits) self.screen.blit(tmp,(0,0)) pygame.display.set_caption(*caption) pygame.key.set_mods(0) pygame.mouse.set_cursor( *cursor ) def pause_menu(self): self.buffer.set_clip(pygame.Rect(0,0,256,160)) # set clipping area for game, should then set clipping for score area self.buffer.blit(self.pause_image,(60,60)) pygame.transform.scale(self.buffer,(256*3,192*3),self.screen) pygame.display.flip() done = False while not done: events = pygame.event.get() for event in events: if event.type == pygame.locals.QUIT: sys.exit(0) elif event.type == pygame.KEYDOWN: if event.key == pygame.K_o: current = self.game_entities[0].current_object if current > 0: current = current - 1 self.game_entities[0].current_object = current self.scorearea.draw() pygame.transform.scale(self.buffer,(256*3,192*3),self.screen) pygame.display.flip() elif event.key == pygame.K_p: current = self.game_entities[0].current_object if current < len(self.game_entities[0].inventory)-1: current = current + 1 self.game_entities[0].current_object = current self.scorearea.draw() pygame.transform.scale(self.buffer,(256*3,192*3),self.screen) pygame.display.flip() elif event.key == pygame.K_a: current = self.game_entities[0].weapon while True: current = current - 1 if current == 0: current = 4 if self.player_weapons[current-1]: # switch weapon in game self.game_entities[0].weapon = current break self.game_entities[0].load_weapon() self.scorearea.draw() pygame.transform.scale(self.buffer,(256*3,192*3),self.screen) pygame.display.flip() elif event.key == pygame.K_SPACE: # Consume object, if it is "consumable" player = self.game_entities[0] if player.current_object < len(player.inventory): if player.inventory[player.current_object] == "OBJECT_HEALTH": player.energy = player.get_entity_max_energy() player.inventory.remove("OBJECT_HEALTH") self.scorearea.draw() pygame.transform.scale(self.buffer,(256*3,192*3),self.screen) pygame.display.flip() elif event.key == pygame.K_h: done = True self.waitforkeyrelease(pygame.K_h) elif event.key == pygame.K_x: self.export_menu() elif event.key == pygame.K_d: self.waitforkeyrelease(pygame.K_d) self.dump_menu() done = True elif event.key == pygame.K_s: self.export_sprites() def dump_menu(self): # Show object state in current level print("Object state: ") for i in range(0,128): print("Obj %d: %d %d" % (i, self.mymap.objects[i*2], self.mymap.objects[i*2+1])) # Dump entities in current screen for entity in self.game_entities: if entity: entity.dump_entity() def export_sprites(self): if not os.path.exists('export_sprites'): os.mkdir('export_sprites') self.export_single_sprite(self.entity_player, 'export_sprites/sprite_barbaro_2.asm', player=True) self.export_player_weapon(self.entity_player, 'export_sprites/sprite_barbaro_1.asm', constants.WEAPON_SWORD) self.export_player_weapon(self.entity_player, 'export_sprites/sprite_barbaro_3.asm', constants.WEAPON_ECLIPSE) self.export_player_weapon(self.entity_player, 'export_sprites/sprite_barbaro_4.asm', constants.WEAPON_AXE) self.export_player_weapon(self.entity_player, 'export_sprites/sprite_barbaro_5.asm', constants.WEAPON_BLADE) for enemy_type in ['OBJECT_ENEMY_SKELETON', 'OBJECT_ENEMY_ORC', 'OBJECT_ENEMY_MUMMY', 'OBJECT_ENEMY_TROLL', 'OBJECT_ENEMY_ROCK', 'OBJECT_ENEMY_KNIGHT', 'OBJECT_ENEMY_DALGURAK']: entity = IannaCharacter(Map.enemy_spritedir[enemy_type], None, None, None, None, player=False) self.export_single_sprite(entity, "export_sprites/sprite_"+Map.enemy_spritedir[enemy_type]+".asm") for enemy_type in ('OBJECT_ENEMY_GOLEM','OBJECT_ENEMY_OGRE','OBJECT_ENEMY_MINOTAUR','OBJECT_ENEMY_DEMON'): entity = IannaCharacter(Map.enemy_spritedir[enemy_type], None, None, None, None, player=False) self.export_single_sprite(entity, "export_sprites/sprite_"+Map.enemy_spritedir_export[enemy_type]+".asm") entity2 = IannaCharacter(Map.enemy_sprite2dir[enemy_type], None, None, None, None, player=False, secondary=True) self.export_single_sprite(entity2, "export_sprites/sprite_"+Map.enemy_sprite2dir_export[enemy_type]+".asm") def export_single_sprite(self, entity, filename, player=False): if player is True: entity.sp_ouch.export(filename) entity.sp_jump_up.export(filename) entity.sp_shortjump.export(filename) entity.sp_longjump.export(filename) entity.sp_run.export(filename) entity.sp_brake.export(filename) entity.sp_braketurn.export(filename) entity.sp_switch.export(filename) entity.sp_grab.export(filename) else: entity.sp_idle.export(filename) entity.sp_turn.export(filename) entity.sp_walk.export(filename) entity.sp_fall.export(filename) entity.sp_crouch.export(filename) entity.sp_unsheathe.export(filename) entity.sp_idle_sword.export(filename) entity.sp_walk_sword.export(filename) entity.sp_high_sword.export(filename) entity.sp_forw_sword.export(filename) entity.sp_combo1_sword.export(filename) entity.sp_low_sword.export(filename) entity.sp_back_sword.export(filename) entity.sp_ouch_sword.export(filename) entity.sp_die.export(filename) def export_player_weapon(self, entity, filename, weapon): entity.weapon = weapon entity.load_weapon() entity.sp_idle.export(filename) entity.sp_turn.export(filename) entity.sp_walk.export(filename) entity.sp_fall.export(filename) entity.sp_crouch.export(filename) entity.sp_unsheathe.export(filename) entity.sp_idle_sword.export(filename) entity.sp_walk_sword.export(filename) entity.sp_high_sword.export(filename) entity.sp_forw_sword.export(filename) entity.sp_combo1_sword.export(filename) entity.sp_low_sword.export(filename) entity.sp_back_sword.export(filename) entity.sp_ouch_sword.export(filename) entity.sp_die.export(filename) def export_menu(self): # get the tileset from the same directory, from a file called "levelname.asm" instead of tmx tileset=IannaTileset(os.path.join(os.path.dirname(self.mapfile), self.mymap.tilefile), self.mymap.map.tilesets[0].image.height / 8,self.mymap.map.tilesets[0].image.width / 8 ) try: os.mkdir("export") except OSError as e: print "Export directory already exists" levelscripts=["ACTION_NONE","ACTION_PLAYER","ACTION_SECONDARY"] levelstrings=[] levelstrings_en=[] # Scripts for pickable objects: should always be in the same place!!! for kk, script in IannaScript.scripts_per_pickable_object.iteritems(): if script not in levelscripts: levelscripts.append(script) # Scripts for enemy attacks: should always be in the same place!!! for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_SKELETON"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_ORC"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_MUMMY"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_TROLL"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_ROCK"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_KNIGHT"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_GOLEM"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_OGRE"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_MINOTAUR"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_DEMON"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_DALGURAK"]: if script not in levelscripts: levelscripts.append(script) # Scripts for player in specific screens for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): try: scriptid = "script-"+str(x)+"_"+str(y) script = self.mymap.map.properties[scriptid] if script not in levelscripts: levelscripts.append(script) except KeyError: pass # Create the list of all scripts in the level for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): screen=IannaScreen(self.mymap.map.layers['Fondo'], self.mymap.map.layers['PrimerPlano'], self.mymap.objset, self.mymap.map.layers['Dureza'], self.mymap.map.width,self.mymap.map.height, x, y, properties=self.mymap.map.properties) screenscripts = screen.get_scripts_from_screen() for script in screenscripts: if script not in levelscripts: levelscripts.append(script) print "We have",len(levelscripts),"different scripts in the level" # Create the list of all strings in the level counter = 0 while True: stringid = "string-"+str(counter) try: string = self.mymap.map.properties[stringid] levelstrings.append(string) # Append the English string as well string = self.mymap.map.properties[stringid+"-en"] levelstrings_en.append(string) counter = counter + 1 except KeyError: break print "We have",len(levelstrings),"different strings in the level" initialcoords = self.mymap.map.properties["InitialCoords"].split(',') mapposx=int(initialcoords[0]) mapposy=int(initialcoords[1]) initialscreen = self.mymap.map.properties["InitialScreen"].split(',') mapscreenx = int(initialscreen[0]) mapscreeny = int(initialscreen[1]) mainfile = file("export/map.asm","w") self.mymap.tilemap.print_mapinfo(mainfile,len(levelscripts),len(levelstrings),mapposx,mapposy,mapscreenx,mapscreeny) tilefile = file("export/map_stiles.SR5","wb") tileset.print_stiles(tilefile) tilefile.close() # Write strings and scripts to file f = file("export/map_strings.asm","w") f.write("org $C000\n") f.write("map_strings: dw string_list\nmap_scripts: dw current_script_pointer\n\n") f.write(";LEVEL STRING POINTERS\n\n") f.write("string_list: dw ") counter = 0 linecounter = 0 for string in levelstrings: if counter == len(levelstrings) - 1: f.write("string"+str(counter)) elif linecounter < 10: f.write("string"+str(counter)+", ") linecounter = linecounter + 1 else: f.write("string"+str(counter)+"\n\t\tdw ") linecounter = 0 counter = counter + 1 f.write("\n\n; STRINGS\n\n") counter = 0 for string in levelstrings: f.write("string"+str(counter)+":\t db \'"+string+"\',0\n") counter = counter + 1 f.write("\n\n; Pickable object types\n") f.write("OBJECT_KEY_GREEN EQU 11\n") f.write("OBJECT_KEY_BLUE EQU 12\n") f.write("OBJECT_KEY_YELLOW EQU 13\n") f.write("OBJECT_BREAD EQU 14\n") f.write("OBJECT_MEAT EQU 15\n") f.write("OBJECT_HEALTH EQU 16\n") f.write("OBJECT_KEY_RED EQU 17\n") f.write("OBJECT_KEY_WHITE EQU 18\n") f.write("OBJECT_KEY_PURPLE EQU 19\n") f.write("; Flag descriptions, will be used as parameters to functions\n") f.write("FLAG_PATROL_NONE: EQU 0\n") f.write("FLAG_PATROL_NOFALL: EQU 1 ; do not jump blindly on platforms\n") f.write("FLAG_FIGHT_NONE: EQU 0\n") f.write("FLAG_FIGHT_NOFALL: EQU 1 ; do not jump blindly when fighting\n") f.write("; script action definitions\n") f.write("ACTION_NONE: EQU 0 ; do nothing, no parameters\n") f.write("ACTION_JOYSTICK: EQU 1 ; control position/animation with joystick, no parameters\n") f.write("ACTION_PLAYER: EQU 2 ; player control\n") f.write("ACTION_PATROL: EQU 3 ; move left-right in the area, waiting until the player is in its view area\n") f.write("ACTION_FIGHT: EQU 4 ; Fight\n") f.write("ACTION_SECONDARY: EQU 5 ; script for secondary entities\n") f.write("ACTION_STRING: EQU 6 ; print a string in the notification area, useful for cutscenes. One parameter (db): string id\n") f.write("ACTION_WAIT: EQU 7 ; do nothing for a number of game frames. One parameter (db): number of frames\n") f.write("ACTION_MOVE: EQU 8 ; move for a number of game frames. Two parameter (db): direction, number of frames\n") f.write("ACTION_WAIT_SWITCH_ON: EQU 9 ; wait for a switch to be changed from 0 to 1 or 2. One parameter (db): object id\n") f.write("ACTION_WAIT_DEAD: EQU 9 ; wair for an enemy to be dead (its parameter is 1). One parameter (db): object id\n") f.write("ACTION_WAIT_DESTROYED: EQU 9 ; wair for an object to be destroyed (its parameter is 1). One parameter (db): object id\n") f.write("ACTION_WAIT_SWITCH_OFF: EQU 10 ; wait for a switch to be changed from 1/2 to 0. One parameter (db): object id\n") f.write("ACTION_TOGGLE_SWITCH_ON: EQU 11 ; toggle a switch. It will change the switch from 1 to 2, and also update the tiles. One parameter (db): object id\n") f.write("ACTION_TOGGLE_SWITCH_OFF: EQU 12 ; toggle a switch. It will change the switch from 2 to 0, and also update the tiles. One parameter (db): object id\n") f.write("ACTION_OPEN_DOOR: EQU 13 ; open a door. It will change the object value from 0 to 1, then to 2 when done, and update the tiles. One parameter (db): object id\n") f.write("ACTION_CLOSE_DOOR: EQU 14 ; close a door. It will change the object value from 2 to 1, then to 0 when done, and update the tiles. One parameter (db): object id \n") f.write("ACTION_REMOVE_BOXES: EQU 15 ; remove a group of boxes. One parameter (db): object id\n") f.write("ACTION_RETURN_SUBSCRIPT: EQU 16 ; return from a subscript\n") f.write("ACTION_RESTART_SCRIPT: EQU 17 ; restart the script\n") f.write("ACTION_TELEPORT: EQU 18 ; teleport. 4 params (db): x,y of screen to go, x,y position in screen (in pixels)\n") f.write("ACTION_KILL_PLAYER: EQU 19 ; immediately kill the player\n") f.write("ACTION_ENERGY: EQU 20 ; add/reduce energy on entity touching it. 1 param (db): amount of energy to add/reduce\n") f.write("ACTION_SET_TIMER: EQU 21 ; set global timer, which will be decremented on every frame. 1 param(db): value to set\n") f.write("ACTION_WAIT_TIMER_SET: EQU 22 ; wait until global timer is != 0\n") f.write("ACTION_WAIT_TIMER_GONE: EQU 23 ; wait until global timer is == 0\n") f.write("ACTION_WAIT_CONTACT: EQU 24 ; wait until the player touches the entity\n") f.write("ACTION_MOVE_STILE: EQU 25 ; move stile. 5 params(db): x,y for stile, deltax, deltay per frame, number of frames.\n") f.write("ACTION_CHANGE_OBJECT: EQU 26 ; switch to other object. 1 param(db): id of new object\n") f.write("ACTION_WAIT_PICKUP: EQU 27 ; used for objects, wait until picked up\n") f.write("ACTION_IDLE: EQU 28 ; set the state to idle\n") f.write("ACTION_ADD_INVENTORY: EQU 29 ; add object to inventory. 1 param(db): id of object to add to inventory\n") f.write("ACTION_REMOVE_JAR: EQU 30 ; remove a jar. One parameter (db): object id\n") f.write("ACTION_REMOVE_DOOR: EQU 31 ; remove a door. One parameter (db): object id\n") f.write("ACTION_ADD_ENERGY: EQU 32 ; add energy. One parameter (db): amount of energy to add\n") f.write("ACTION_CHECK_OBJECT_IN_INVENTORY: EQU 33 ; wait until an object is in the inventory. One parameter (db): object id\n") f.write("ACTION_REMOVE_OBJECT_FROM_INVENTORY: EQU 34 ; remove object from inventory. One parameter (db): object id\n") f.write("ACTION_CHECKPOINT: EQU 35 ; set checkpoint. No parameters\n") f.write("ACTION_FINISH_LEVEL: EQU 36 ; end level. One parameter (db): 0 -> get back to main menu. 1 -> Go to next level.\n") f.write("ACTION_ADD_WEAPON: EQU 37 ; add weapon to inventory. One parameter (db): 1-> eclipse, 2-> axe, 3-> blade\n") f.write("ACTION_WAIT_CROSS_DOOR: EQU 38 ; wait until player is crossing our door\n") f.write("ACTION_CHANGE_STILE: EQU 39 ; change stile. 3 parameters (db): x, y in stile coords, and stile number (0-255)\n") f.write("ACTION_CHANGE_HARDNESS: EQU 40 ; change hardness for stile. 3 parameters (db): x, y in stile coords, hardness value (0-3)\n") f.write("ACTION_SET_OBJECT_STATE: EQU 41 ; set object state. 2 parameters (db): object id, state value (0: normal, 1: transitioning, 2: dead/changed, 3-255: other)\n") f.write("ACTION_WAIT_OBJECT_STATE: EQU 42 ; wait until the object state has a specific value. 2 parameters (db): object id, state value\n") f.write("ACTION_NOP: EQU 43 ; no-op action\n") f.write("ACTION_WAIT_CONTACT_EXT: EQU 44 ; wait for contact with area. 4 parameters (db): upper-left X in chars, upper-left Y in chars, width, height in chars\n") f.write("ACTION_TELEPORT_EXT: EQU 45 ; teleport without waiting for contact. 4 params (db): x,y of screen to go, x,y position in screen (in pixels)\n") f.write("ACTION_TELEPORT_ENEMY: EQU 46 ; teleport enemy to a different location in this screen. 2 params (db): x, y (in pixels)\n") f.write("ACTION_MOVE_OBJECT: EQU 47 ; move object in screen. 4 params (db): objid, deltax, deltay per frame, number of frames\n") f.write("ACTION_WAIT_PICKUP_INVENTORY: EQU 48 ; used for objects, wait until picked up and make sure there is space in the inventory\n") f.write("ACTION_FX: EQU 49 ; play an FX. 1 param (db): effect\n") f.write("current_script_pointer: dw ") counter = 0 linecounter = 0 for script in levelscripts: if counter == len(levelscripts) - 1: f.write("script"+str(counter)) elif linecounter < 10: f.write("script"+str(counter)+", ") linecounter = linecounter + 1 else: f.write("script"+str(counter)+"\n\t\tdw ") linecounter = 0 counter = counter + 1 f.write("\n\n; SCRIPTS\n\n") counter = 0 for script in levelscripts: f.write("script"+str(counter)+":\t db "+script+"\n") counter = counter + 1 f.close() # Write strings in English and scripts to file f = file("export/map_strings_en.asm","w") f.write("org $C000\n") f.write("map_strings: dw string_list\nmap_scripts: dw current_script_pointer\n\n") f.write(";LEVEL STRING POINTERS\n\n") f.write("string_list: dw ") counter = 0 linecounter = 0 for string in levelstrings_en: if counter == len(levelstrings_en) - 1: f.write("string"+str(counter)) elif linecounter < 10: f.write("string"+str(counter)+", ") linecounter = linecounter + 1 else: f.write("string"+str(counter)+"\n\t\tdw ") linecounter = 0 counter = counter + 1 f.write("\n\n; STRINGS\n\n") counter = 0 for string in levelstrings_en: f.write("string"+str(counter)+":\t db \""+string+"\",0\n") counter = counter + 1 f.write("\n\n; Pickable object types\n") f.write("OBJECT_KEY_GREEN EQU 11\n") f.write("OBJECT_KEY_BLUE EQU 12\n") f.write("OBJECT_KEY_YELLOW EQU 13\n") f.write("OBJECT_BREAD EQU 14\n") f.write("OBJECT_MEAT EQU 15\n") f.write("OBJECT_HEALTH EQU 16\n") f.write("OBJECT_KEY_RED EQU 17\n") f.write("OBJECT_KEY_WHITE EQU 18\n") f.write("OBJECT_KEY_PURPLE EQU 19\n") f.write("; Flag descriptions, will be used as parameters to functions\n") f.write("FLAG_PATROL_NONE: EQU 0\n") f.write("FLAG_PATROL_NOFALL: EQU 1 ; do not jump blindly on platforms\n") f.write("FLAG_FIGHT_NONE: EQU 0\n") f.write("FLAG_FIGHT_NOFALL: EQU 1 ; do not jump blindly when fighting\n") f.write("; script action definitions\n") f.write("ACTION_NONE: EQU 0 ; do nothing, no parameters\n") f.write("ACTION_JOYSTICK: EQU 1 ; control position/animation with joystick, no parameters\n") f.write("ACTION_PLAYER: EQU 2 ; player control\n") f.write("ACTION_PATROL: EQU 3 ; move left-right in the area, waiting until the player is in its view area\n") f.write("ACTION_FIGHT: EQU 4 ; Fight\n") f.write("ACTION_SECONDARY: EQU 5 ; script for secondary entities\n") f.write("ACTION_STRING: EQU 6 ; print a string in the notification area, useful for cutscenes. One parameter (db): string id\n") f.write("ACTION_WAIT: EQU 7 ; do nothing for a number of game frames. One parameter (db): number of frames\n") f.write("ACTION_MOVE: EQU 8 ; move for a number of game frames. Two parameter (db): direction, number of frames\n") f.write("ACTION_WAIT_SWITCH_ON: EQU 9 ; wait for a switch to be changed from 0 to 1 or 2. One parameter (db): object id\n") f.write("ACTION_WAIT_DEAD: EQU 9 ; wair for an enemy to be dead (its parameter is 1). One parameter (db): object id\n") f.write("ACTION_WAIT_DESTROYED: EQU 9 ; wair for an object to be destroyed (its parameter is 1). One parameter (db): object id\n") f.write("ACTION_WAIT_SWITCH_OFF: EQU 10 ; wait for a switch to be changed from 1/2 to 0. One parameter (db): object id\n") f.write("ACTION_TOGGLE_SWITCH_ON: EQU 11 ; toggle a switch. It will change the switch from 1 to 2, and also update the tiles. One parameter (db): object id\n") f.write("ACTION_TOGGLE_SWITCH_OFF: EQU 12 ; toggle a switch. It will change the switch from 2 to 0, and also update the tiles. One parameter (db): object id\n") f.write("ACTION_OPEN_DOOR: EQU 13 ; open a door. It will change the object value from 0 to 1, then to 2 when done, and update the tiles. One parameter (db): object id\n") f.write("ACTION_CLOSE_DOOR: EQU 14 ; close a door. It will change the object value from 2 to 1, then to 0 when done, and update the tiles. One parameter (db): object id \n") f.write("ACTION_REMOVE_BOXES: EQU 15 ; remove a group of boxes. One parameter (db): object id\n") f.write("ACTION_RETURN_SUBSCRIPT: EQU 16 ; return from a subscript\n") f.write("ACTION_RESTART_SCRIPT: EQU 17 ; restart the script\n") f.write("ACTION_TELEPORT: EQU 18 ; teleport. 4 params (db): x,y of screen to go, x,y position in screen (in pixels)\n") f.write("ACTION_KILL_PLAYER: EQU 19 ; immediately kill the player\n") f.write("ACTION_ENERGY: EQU 20 ; add/reduce energy on entity touching it. 1 param (db): amount of energy to add/reduce\n") f.write("ACTION_SET_TIMER: EQU 21 ; set global timer, which will be decremented on every frame. 1 param(db): value to set\n") f.write("ACTION_WAIT_TIMER_SET: EQU 22 ; wait until global timer is != 0\n") f.write("ACTION_WAIT_TIMER_GONE: EQU 23 ; wait until global timer is == 0\n") f.write("ACTION_WAIT_CONTACT: EQU 24 ; wait until the player touches the entity\n") f.write("ACTION_MOVE_STILE: EQU 25 ; move stile. 5 params(db): x,y for stile, deltax, deltay per frame, number of frames.\n") f.write("ACTION_CHANGE_OBJECT: EQU 26 ; switch to other object. 1 param(db): id of new object\n") f.write("ACTION_WAIT_PICKUP: EQU 27 ; used for objects, wait until picked up\n") f.write("ACTION_IDLE: EQU 28 ; set the state to idle\n") f.write("ACTION_ADD_INVENTORY: EQU 29 ; add object to inventory. 1 param(db): id of object to add to inventory\n") f.write("ACTION_REMOVE_JAR: EQU 30 ; remove a jar. One parameter (db): object id\n") f.write("ACTION_REMOVE_DOOR: EQU 31 ; remove a door. One parameter (db): object id\n") f.write("ACTION_ADD_ENERGY: EQU 32 ; add energy. One parameter (db): amount of energy to add\n") f.write("ACTION_CHECK_OBJECT_IN_INVENTORY: EQU 33 ; wait until an object is in the inventory. One parameter (db): object id\n") f.write("ACTION_REMOVE_OBJECT_FROM_INVENTORY: EQU 34 ; remove object from inventory. One parameter (db): object id\n") f.write("ACTION_CHECKPOINT: EQU 35 ; set checkpoint. No parameters\n") f.write("ACTION_FINISH_LEVEL: EQU 36 ; end level. One parameter (db): 0 -> get back to main menu. 1 -> Go to next level.\n") f.write("ACTION_ADD_WEAPON: EQU 37 ; add weapon to inventory. One parameter (db): 1-> eclipse, 2-> axe, 3-> blade\n") f.write("ACTION_WAIT_CROSS_DOOR: EQU 38 ; wait until player is crossing our door\n") f.write("ACTION_CHANGE_STILE: EQU 39 ; change stile. 3 parameters (db): x, y in stile coords, and stile number (0-255)\n") f.write("ACTION_CHANGE_HARDNESS: EQU 40 ; change hardness for stile. 3 parameters (db): x, y in stile coords, hardness value (0-3)\n") f.write("ACTION_SET_OBJECT_STATE: EQU 41 ; set object state. 2 parameters (db): object id, state value (0: normal, 1: transitioning, 2: dead/changed, 3-255: other)\n") f.write("ACTION_WAIT_OBJECT_STATE: EQU 42 ; wait until the object state has a specific value. 2 parameters (db): object id, state value\n") f.write("ACTION_NOP: EQU 43 ; no-op action\n") f.write("ACTION_WAIT_CONTACT_EXT: EQU 44 ; wait for contact with area. 4 parameters (db): upper-left X in chars, upper-left Y in chars, width, height in chars\n") f.write("ACTION_TELEPORT_EXT: EQU 45 ; teleport without waiting for contact. 4 params (db): x,y of screen to go, x,y position in screen (in pixels)\n") f.write("ACTION_TELEPORT_ENEMY: EQU 46 ; teleport enemy to a different location in this screen. 2 params (db): x, y (in pixels)\n") f.write("ACTION_MOVE_OBJECT: EQU 47 ; move object in screen. 4 params (db): objid, deltax, deltay per frame, number of frames\n") f.write("ACTION_WAIT_PICKUP_INVENTORY: EQU 48 ; used for objects, wait until picked up and make sure there is space in the inventory\n") f.write("ACTION_FX: EQU 49 ; play an FX. 1 param (db): effect\n") f.write("current_script_pointer: dw ") counter = 0 linecounter = 0 for script in levelscripts: if counter == len(levelscripts) - 1: f.write("script"+str(counter)) elif linecounter < 10: f.write("script"+str(counter)+", ") linecounter = linecounter + 1 else: f.write("script"+str(counter)+"\n\t\tdw ") linecounter = 0 counter = counter + 1 f.write("\n\n; SCRIPTS\n\n") counter = 0 for script in levelscripts: f.write("script"+str(counter)+":\t db "+script+"\n") counter = counter + 1 f.close() # Now print all screens for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): filenam = "export/screen_"+str(y)+"_"+str(x)+".asm" scfile = file(filenam,"w") screen=IannaScreen(self.mymap.map.layers['Fondo'], self.mymap.map.layers['PrimerPlano'], self.mymap.objset, self.mymap.map.layers['Dureza'], self.mymap.map.width,self.mymap.map.height, x, y, properties=self.mymap.map.properties) screen.print_screen(scfile, levelscripts) scfile.close() # Write pointers to all compressed screens in the main file for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): scnam = "screen_"+str(y)+"_"+str(x) mainfile.write(scnam+"_addr: DW "+scnam+"\n") # And write the includes as well for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): scnam = "screen_"+str(y)+"_"+str(x) filenam_cmp= "screen_"+str(y)+"_"+str(x)+".cmp" mainfile.write(scnam+" INCBIN "+"\""+filenam_cmp+"\"\n") # And includes for strings and scripts mainfile.write("level_strings: INCBIN \"map_strings.cmp\"\n") mainfile.write("level_strings_en: INCBIN \"map_strings_en.cmp\"\n") mainfile.close() # Finally, create makefile makefile = file("export/makefile","w") makefile.write("all: map.bin map_stiles.SR5.plet1\n\n") makefile.write("clean:\n") makefile.write("\trm *.bin\n") makefile.write("\trm *.cmp\n") screen_list="" for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): filenam = " screen_"+str(y)+"_"+str(x)+".cmp" screen_list = screen_list + filenam makefile.write("map.bin: map.asm map_strings.cmp map_strings_en.cmp"+screen_list+"\n") makefile.write("\tpasmo map.asm map.bin map.sym\n\n") makefile.write("map_stiles.SR5.plet1: map_stiles.SR5\n") makefile.write("\tpletter.exe 1 map_stiles.SR5\n\n") makefile.write("map_strings.cmp: map_strings.asm\n") makefile.write("\tpasmo map_strings.asm map_strings.bin\n") makefile.write("\tapack map_strings.bin map_strings.cmp\n\n") makefile.write("map_strings_en.cmp: map_strings_en.asm\n") makefile.write("\tpasmo map_strings_en.asm map_strings_en.bin\n") makefile.write("\tapack map_strings_en.bin map_strings_en.cmp\n\n") for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): filenam = "screen_"+str(y)+"_"+str(x) makefile.write(filenam+".cmp: "+filenam+".asm\n") makefile.write("\tpasmo "+filenam+".asm "+filenam+".bin\n") makefile.write("\tapack "+filenam+".bin "+filenam+".cmp\n\n") makefile.close() sys.exit(0) def waitforkeyrelease(self,key): while True: events = pygame.event.get() for event in events: if event.type == pygame.locals.QUIT: sys.exit(0) elif event.type == pygame.KEYUP: if event.key == key: return # Keys will be OPQA, SPACE for fire and CAPS SHIFT for action def read_keyboard(self): events = pygame.event.get() for event in events: if event.type == pygame.locals.QUIT: sys.exit(0) elif event.type == pygame.KEYDOWN: if event.key == pygame.K_o: self.keyboard[0] = 1 elif event.key == pygame.K_p: self.keyboard[1] = 1 elif event.key == pygame.K_q: self.keyboard[2] = 1 elif event.key == pygame.K_a: self.keyboard[3] = 1 elif event.key == pygame.K_SPACE: self.keyboard[4] = 1 elif event.key == pygame.K_RSHIFT: self.keyboard[5] = 1 elif event.key == pygame.K_ESCAPE: self.ingame = False elif event.key == pygame.K_h: self.pause_menu() elif event.key == pygame.K_F12: self.toggle_fullscreen() elif event.type == pygame.KEYUP: if event.key == pygame.K_o: self.keyboard[0] = 0 elif event.key == pygame.K_p: self.keyboard[1] = 0 elif event.key == pygame.K_q: self.keyboard[2] = 0 elif event.key == pygame.K_a: self.keyboard[3] = 0 elif event.key == pygame.K_SPACE: self.keyboard[4] = 0 elif event.key == pygame.K_RSHIFT: self.keyboard[5] = 0 return def CheckGravities(self): self.game_entities[0].apply_gravity() for entity in [self.game_entities[1],self.game_entities[2]]: if entity: entity.apply_gravity() def ProcessState(self): for entity in [self.game_entities[0],self.game_entities[1],self.game_entities[2]]: if entity: if entity.keyboard: entity.process_state(entity.keyboard) entity.keyboard=None else: entity.process_state([0,0,0,0,0,0]) def DrawSprites(self): for entity in [self.game_entities[0],self.game_entities[1],self.game_entities[2]]: if entity: try: self.buffer.blit(entity.current_anim.frames[entity.anim_pos],(entity.posx,entity.posy)) except AttributeError: print "WARNING: ", entity.current_anim, "is a list, not a SevenuP object. Check!" print "Entidades: ",entity,self.game_entities[0],self.game_entities[1],self.game_entities[2] print "posx:",entity.posx,"posy:",entity.posy,"anim_pos:",entity.anim_pos if entity.extra_sprite: if entity.state & 1: # looking right self.buffer.blit(entity.extra_sprite,(entity.posx+24,entity.posy)) else: self.buffer.blit(entity.extra_sprite,(entity.posx-24,entity.posy)) def RunScripts(self): for entity in self.game_entities: if entity: try: if entity.state != constants.STATE_DEAD and entity.script: entity.script.run_script(entity) except AttributeError: if entity.script: entity.script.run_script(entity) def CheckMapLimits(self): levelscripts=["ACTION_NONE","ACTION_PLAYER","ACTION_SECONDARY"] levelstrings=[] levelstrings_en=[] # Scripts for pickable objects: should always be in the same place!!! for kk, script in IannaScript.scripts_per_pickable_object.iteritems(): if script not in levelscripts: levelscripts.append(script) # Scripts for enemy attacks: should always be in the same place!!! for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_SKELETON"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_ORC"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_MUMMY"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_TROLL"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_ROCK"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_KNIGHT"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_GOLEM"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_OGRE"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_MINOTAUR"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_DEMON"]: if script not in levelscripts: levelscripts.append(script) for script in IannaCharacter.enemy_attack_patterns["OBJECT_ENEMY_DALGURAK"]: if script not in levelscripts: levelscripts.append(script) # Scripts for player in specific screens for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): try: scriptid = "script-"+str(x)+"_"+str(y) script = self.mymap.map.properties[scriptid] if script not in levelscripts: levelscripts.append(script) except KeyError: pass # Create the list of all scripts in the level for y in range(0,self.mymap.map.height/10): for x in range(0,self.mymap.map.width/16): screen=IannaScreen(self.mymap.map.layers['Fondo'], self.mymap.map.layers['PrimerPlano'], self.mymap.objset, self.mymap.map.layers['Dureza'], self.mymap.map.width,self.mymap.map.height, x, y, properties=self.mymap.map.properties) screenscripts = screen.get_scripts_from_screen() for script in screenscripts: if script not in levelscripts: levelscripts.append(script) print "We have",len(levelscripts),"different scripts in the level, out of a maximum of 255" bytecount=0 for script in levelscripts: bytecount = bytecount + len(script.split(',')) bytecount = bytecount + 2*len(levelscripts) if bytecount > 1023: print "WARNING!!", print "Scripts use",bytecount,"bytes, out of a maximum of 1024" # Create the list of all strings in the level counter = 0 while True: stringid = "string-"+str(counter) try: string = self.mymap.map.properties[stringid] levelstrings.append(string) # Append the English string as well string = self.mymap.map.properties[stringid+"-en"] levelstrings_en.append(string) counter = counter + 1 except KeyError: break print "We have",len(levelstrings),"different strings in the level" bytecount=0 for string in levelstrings: bytecount = bytecount + len(string) bytecount = bytecount + 3*len(levelstrings) if bytecount > 1023: print "WARNING!!", print "Strings use",bytecount,"bytes, out of a maximum of 1024" bytecount=0 for string in levelstrings_en: bytecount = bytecount + len(string) bytecount = bytecount + 3*len(levelstrings_en) if bytecount > 1023: print "WARNING!!", print "Strings in English use",bytecount,"bytes, out of a maximum of 1024" # For now it is not the most beautiful menu ever... but it works :) def MainMenu(self): ' Initial menu, displays list of maps to load' ' OUTPUT:' ' - Filename of map to be loaded' self.screen.fill((0, 0, 0)) listoftmx=[] for dirname, dirnames, filenames in os.walk('./maps/'): for filename in filenames: if '.tmx' in filename: listoftmx.append(os.path.join(dirname, filename)) myfont = pygame.font.SysFont("console",32) self.screen.blit(myfont.render("Select map with Q/A keys and SPACE:",False,(0,255,255)),(0,0)) selected=0 done=False while not done: y=32 i=0 for filename in listoftmx: if i == selected: color=(255,255,255) else: color=(0,255,255) self.screen.blit(myfont.render(filename,False,color),(64,y)) y = y+32 i = i + 1 pygame.display.flip() self.read_keyboard() if self.keyboard[2] == 1: # UP if selected > 0: selected = selected - 1 while self.keyboard[2] == 1: self.read_keyboard() elif self.keyboard[3] == 1: # DOWN if selected < len(listoftmx)-1: selected = selected + 1 while self.keyboard[3] == 1: self.read_keyboard() elif self.keyboard[4] == 1: # SPACE while self.keyboard[4] == 1: self.read_keyboard() done = True return listoftmx[selected] def mainloop(self): self.ingame = True animate_stiles=0 while self.ingame: self.read_keyboard() # call AnimateSTiles animate_stiles = animate_stiles + 1 if animate_stiles & 1: self.mymap.anim_stiles() self.entity_player.keyboard=self.keyboard self.RunScripts() self.ProcessState() self.CheckGravities() # Redrawscreen # draw sprites self.buffer.set_clip(pygame.Rect(0,0,256,160)) # set clipping area for game, should then set clipping for score area self.mymap.draw_screen(self.buffer) self.DrawSprites() self.mymap.draw_foreground(self.buffer) self.scorearea.draw() pygame.transform.scale(self.buffer,(256*3,192*3),self.screen) pygame.display.flip() self.fpsClock.tick(10) # run at 10 fps global_timer.tick() def Play(self): while True: gc.collect() # Force garbage collection on every iteration self.mapfile = self.MainMenu() self.mymap = Map(self.mapfile) self.CheckMapLimits() self.game_entities = [None, None, None, None, None, None, None, None ] # self.player_weapons = [True,False,False,False] # True if weapon is active, False if not self.player_weapons = [True, True, True, True] # True if weapon is active, False if not self.scorearea = IannaScore(self.buffer,self.screen,self.game_entities) self.entity_player = IannaCharacter("barbaro", self.mymap, self.game_entities, self.scorearea, self.player_weapons, player=True) initialcoords = self.mymap.map.properties["InitialCoords"].split(',') self.entity_player.posx=int(initialcoords[0]) self.entity_player.posy=int(initialcoords[1]) self.entity_player.energy=self.entity_player.get_entity_max_energy() # FIXME this is cheating!! self.game_entities[0] = self.entity_player self.mymap.load_tile_table(os.path.dirname(self.mapfile),16, 16) self.mymap.set_screen(self.mymap.current_x,self.mymap.current_y, self.game_entities, self.scorearea) self.mainloop() if __name__ == '__main__': game = IannaGame() game.Play()

43.845405

232

0.709964

6,315

40,557

4.441172

0.089311

0.035513

0.035442

0.048207

0.781324

0.758147

0.736683

0.7175

0.710048

0.679526

0

0.022024

0.165939

40,557

924

233

43.892857

0.807077

0.040881

0

0.654242

0

0.077121

0.369933

0.043472

0

0.001082

0

null

0.002571

0.01671

null

0.028278

0

null

0

1

0

null

0

1

0

6

1d01c50bed3e5afb7bc4a42f395c9759880c6fc4

105

py

Python

model/components/base_component.py

MattJTrueblood/Allies_RL_Prototype

1c7c4360156d0dc5ff53c49401d25026761862df

[ "Unlicense" ]

1

2018-11-19T19:51:49.000Z

model/components/base_component.py

MattJTrueblood/Allies_RL_Prototype

1c7c4360156d0dc5ff53c49401d25026761862df

[ "Unlicense" ]

null

model/components/base_component.py

MattJTrueblood/Allies_RL_Prototype

1c7c4360156d0dc5ff53c49401d25026761862df

[ "Unlicense" ]

null

class BaseComponent: def __init__(self, parent_entity): self.parent_entity = parent_entity

17.5

42

0.72381

12

105

5.75

0.583333

0.521739

0.463768

0

0.209524

105

5

43

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0

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0.333333

false

0

0.666667

0

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null

1

0

1

0

null

0

1

0

1

0

6

1d03e155b68e1756123681e66fc0484988077bc2

8,510

py

Python

mstrio/api/cubes.py

r3dunlop/mstrio-py

7754c4c35d711093a902b502fb16c98b6e317f4c

[ "Apache-2.0" ]

null

mstrio/api/cubes.py

r3dunlop/mstrio-py

7754c4c35d711093a902b502fb16c98b6e317f4c

[ "Apache-2.0" ]

null

mstrio/api/cubes.py

r3dunlop/mstrio-py

7754c4c35d711093a902b502fb16c98b6e317f4c

[ "Apache-2.0" ]

null

import requests def cube(connection, cube_id, verbose=False): """ Get the definition of a specific cube, including attributes and metrics. The cube can be either an Intelligent Cube or a Direct Data Access (DDA)/MDX cube. The in-memory cube definition provides information about all available objects without actually running any data query/report. The results can be used by other requests to help filter large datasets and retrieve values dynamically, helping with performance and scalability. Args: connection: MicroStrategy REST API connection object. cube_id list(str): Unique IDs of the cubes you wish to extract information from. verbose (bool): Verbosity of request response; defaults to False. Returns: Complete HTTP response object """ response = requests.get(url=connection.base_url + '/cubes/' + cube_id, headers={'X-MSTR-AuthToken': connection.auth_token, 'X-MSTR-ProjectID': connection.project_id}, cookies=connection.cookies, params={'id': cube_id}, verify=connection.ssl_verify) if verbose: print(response.url) return response def cube_info(connection, cube_id, verbose=False): """ Get information for specific cubes in a specific project. The cubes can be either Intelligent cubes or Direct Data Access (DDA)/MDX cubes. This request returns the cube name, ID, size, status, path, last modification date, and owner name and ID. Args: connection: MicroStrategy REST API connection object. cube_id (str): Unique ID of the cube you wish to extract information from. verbose (bool): Verbosity of request response; defaults to False. Returns: Complete HTTP response object. """ response = requests.get(url=connection.base_url + '/cubes/?id=' + cube_id, headers={'X-MSTR-AuthToken': connection.auth_token, 'X-MSTR-ProjectID': connection.project_id}, cookies=connection.cookies, verify=connection.ssl_verify) if verbose: print(response.url) return response def cube_single_attribute_elements(connection, cube_id, attribute_id, offset=0, limit=25000, verbose=False): """ Get elements of a specific attribute of a specific cube. Args: connection: MicroStrategy REST API connection object. cube_id (str): Unique ID of the cube you wish to extract information from. attribute_id (str): Unique ID of the attribute in the cube. verbose (bool): Verbosity of request response; defaults to False. Returns: Complete HTTP response object. """ response = requests.get(url=connection.base_url + '/cubes/' + cube_id + '/attributes/' + attribute_id + '/elements', headers={'X-MSTR-AuthToken': connection.auth_token, 'X-MSTR-ProjectID': connection.project_id}, cookies=connection.cookies, params={'offset': offset, 'limit': limit}, verify=connection.ssl_verify) if verbose: print(response.url) return response def cube_instance(connection, cube_id, body={}, offset=0, limit=1000, verbose=False): """ Create a new instance of a specific cube. This in-memory instance can be used by other requests. Args: connection: MicroStrategy REST API connection object. cube_id (str): Unique ID of the cube you wish to extract information from. offset (int, optional): Starting point within the collection of returned results. Default is 0. limit (int, optional): Used to control data extract behavior on datasets which have a large number of rows. The default is 1000. As an example, if the dataset has 50,000 rows, this function will incrementally extract all 50,000 rows in 1,000 row chunks. Depending on system resources, using a higher limit setting (e.g. 10,000) may reduce the total time required to extract the entire dataset. verbose (bool, optional): Verbosity of request response; defaults to False. Returns: Complete HTTP response object. """ response = requests.post(url=connection.base_url + '/cubes/' + cube_id + '/instances', headers={'X-MSTR-AuthToken': connection.auth_token, 'X-MSTR-ProjectID': connection.project_id}, json=body, cookies=connection.cookies, params={'offset': offset, 'limit': limit}, verify=connection.ssl_verify) if verbose: print(response.url) return response def cube_instance_id(connection, cube_id, instance_id, offset=0, limit=1000, verbose=False): """ Get the results of a previously created instance for a specific cube, using the in-memory instance created by cube_instance(). Args: connection: MicroStrategy REST API connection object. cube_id (str): Unique ID of the cube you wish to extract information from. instance_id (str): Unique ID of the in-memory instance of a published cube. offset (int, optional): Starting point within the collection of returned results. Default is 0. limit (int, optional): Used to control data extract behavior on datasets which have a large number of rows. The default is 1000. As an example, if the dataset has 50,000 rows, this function will incrementally extract all 50,000 rows in 1,000 row chunks. Depending on system resources, using a higher limit setting (e.g. 10,000) may reduce the total time required to extract the entire dataset. verbose (bool, optional): Verbosity of request response; defaults to False. Returns: Complete HTTP response object. """ response = requests.get(url=connection.base_url + '/cubes/' + cube_id + '/instances/' + instance_id, headers={'X-MSTR-AuthToken': connection.auth_token, 'X-MSTR-ProjectID': connection.project_id}, cookies=connection.cookies, params={'offset': offset, 'limit': limit}, verify=connection.ssl_verify) if verbose: print(response.url) return response def publish(connection, cube_id, verbose=False): """ Publish a specific cube in a specific project. Args: connection: MicroStrategy REST API connection object. cube_id (str): Unique ID of the cube you wish to publish. verbose (bool): Verbosity of request response; defaults to False. Returns: Complete HTTP response object. """ response = requests.post(url=connection.base_url + '/cubes/' + cube_id, headers={'X-MSTR-AuthToken': connection.auth_token, 'X-MSTR-ProjectID': connection.project_id}, cookies=connection.cookies, verify=connection.ssl_verify) if verbose: print(response.url) return response def status(connection, cube_id, verbose=False): """ Get the status of a specific cube in a specific project. The status is returned in HEADER X-MSTR-CubeStatus with a value from EnumDSSCubeStates, which is a bit vector. Args: connection: MicroStrategy REST API connection object. cube_id (str): Unique ID of the cube you wish to extract information from. verbose (bool): Verbosity of request response; defaults to False. Returns: Complete HTTP response object. """ response = requests.head(url=connection.base_url + '/cubes/' + cube_id, headers={'X-MSTR-AuthToken': connection.auth_token, 'X-MSTR-ProjectID': connection.project_id}, cookies=connection.cookies, verify=connection.ssl_verify) if verbose: print(response.url) return response

45.752688

130

0.618684

998

8,510

5.211423

0.178357

0.02538

0.01692

0.019996

0.792732

0.774274

0.741396

0.716401

0.71294

0.702173

0

0.010847

0.306698

8,510

185

131

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0.491304

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0

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0

1

0.097222

false

0

0.013889

0

0.208333

0.097222

0

null

0

1

0

1

0

null

0

6

df1fb6d47b126aa92c2af55eb49af994323127f1

42

py

Python

Ezalt/__main__.py

LucasValentimB/Ezalt

fb4f17f61eff83da42b05c4f3a02334e876e0ef6

[ "MIT" ]

null

Ezalt/__main__.py

LucasValentimB/Ezalt

fb4f17f61eff83da42b05c4f3a02334e876e0ef6

[ "MIT" ]

null

Ezalt/__main__.py

LucasValentimB/Ezalt

fb4f17f61eff83da42b05c4f3a02334e876e0ef6

[ "MIT" ]

null

from Ezalt import Ezalt Ezalt.Ezalt()

10.5

24

0.714286

6

42

5

0.5

0.666667

0

0.214286

42

3

25

14

0.909091

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

df94a5e4878251a704754e7eccfac2c81e036202

32

py

Python

main.py

zhiqiu1/reversi

7e6cf9f19d24289d9b873f5b8b2e8d4e6c82fb3e

[ "MIT" ]

null

main.py

zhiqiu1/reversi

7e6cf9f19d24289d9b873f5b8b2e8d4e6c82fb3e

[ "MIT" ]

1

2021-01-28T08:40:55.000Z

2021-01-28T08:41:04.000Z

main.py

zhiqiu1/reversi

7e6cf9f19d24289d9b873f5b8b2e8d4e6c82fb3e

[ "MIT" ]

null

import game_ui game_ui.UI()

8

15

0.6875

6

32

3.333333

0.5

0.6

0

0.21875

32

3

16

10.666667

0.8

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Python

src/web/results/__init__.py

alex-dya/security_scanner

7aeb6af863ccdbf6c066d52446318aaf898afe7b

[ "MIT" ]

null

src/web/results/__init__.py

alex-dya/security_scanner

7aeb6af863ccdbf6c066d52446318aaf898afe7b

[ "MIT" ]

7

2021-05-28T14:31:27.000Z

2022-03-12T00:57:40.000Z

src/web/results/__init__.py

alex-dya/security_scanner

7aeb6af863ccdbf6c066d52446318aaf898afe7b

[ "MIT" ]

1

2021-05-15T12:18:49.000Z

from . import routes, exports, forms

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py

Python

sagenet/DHH_data/__init__.py

MarioniLab/sagenet

d18b381764c23c6c617b6fd520b5e3f371186228

[ "MIT" ]

9

2021-12-20T14:28:10.000Z

2022-03-18T06:44:07.000Z

sagenet/DHH_data/__init__.py

MarioniLab/sagenet

d18b381764c23c6c617b6fd520b5e3f371186228

[ "MIT" ]

null

sagenet/DHH_data/__init__.py

MarioniLab/sagenet

d18b381764c23c6c617b6fd520b5e3f371186228

[ "MIT" ]

1

2022-01-29T04:38:54.000Z

from sagenet.DHH_data._DHH_data import *

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py

Python

models/tied_model_triple_encoder.py

rajat95/Deep-Deghosting-HDR

d56c213912083df0323f26e594ccc5ed7fa668ec

[ "MIT" ]

33

2019-06-13T09:25:57.000Z

2022-02-08T09:26:28.000Z

models/tied_model_triple_encoder.py

banananabear/Deep-Deghosting-HDR

d56c213912083df0323f26e594ccc5ed7fa668ec

[ "MIT" ]

11

2019-11-01T08:31:24.000Z

2021-12-23T03:05:09.000Z

models/tied_model_triple_encoder.py

banananabear/Deep-Deghosting-HDR

d56c213912083df0323f26e594ccc5ed7fa668ec

[ "MIT" ]

10

2019-07-04T06:39:04.000Z

2022-03-29T03:19:22.000Z

import numpy as np import tensorflow as tf layers = tf.layers leaky_relu=tf.nn.leaky_relu def deepfuse_triple_3encoder(inp1, inp2, inp3): layers = tf.layers leaky_relu=tf.nn.leaky_relu with tf.variable_scope('DeepFuse'): neg_prepooled_feats = [[],[]] pos_prepooled_feats = [[],[]] num_downsample_layers = 4 pos_branch_enc = [] neg_branch_enc = [] global_feats_pos = [] global_feats_neg = [] ref_feats = [] num_feats = [32,64,128,256] for inp, reuse1, idx in zip([inp1, inp2], [None, True], [0,1]): conv = inp for i in range(num_downsample_layers): conv = layers.conv2d(conv, num_feats[i], kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_enc_conv'+str(i), reuse = reuse1) neg_prepooled_feats[idx].append(conv) if inp == inp2: global_feats_neg.append(conv) conv = layers.conv2d(conv, num_feats[i], kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_downsample'+str(i), reuse = reuse1) neg_branch_enc.append(conv) for inp, reuse1, idx in zip([inp2, inp3], [None, True], [0,1]): conv = inp for i in range(num_downsample_layers): conv = layers.conv2d(conv, num_feats[i], kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_enc_conv'+str(i), reuse = reuse1) pos_prepooled_feats[idx].append(conv) if inp == inp2: global_feats_pos.append(conv) conv = layers.conv2d(conv, num_feats[i], kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_downsample'+str(i), reuse = reuse1) pos_branch_enc.append(conv) conv = inp2 for i in range(num_downsample_layers): conv = layers.conv2d(conv, num_feats[i], kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_enc_conv'+str(i)) ref_feats.append(conv) conv = layers.conv2d(conv, num_feats[i], kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_downsample'+str(i)) ref_branch_enc = conv pos_pooled_feats1 = [] neg_pooled_feats1 = [] pos_pooled_feats2 = [] neg_pooled_feats2 = [] for idx in range(num_downsample_layers): neg_pooled_feats1.append(tf.maximum(neg_prepooled_feats[0][idx],neg_prepooled_feats[1][idx])) neg_merge1 = tf.maximum(neg_branch_enc[0],neg_branch_enc[1]) pos_pooled_feats1.append(tf.maximum(pos_prepooled_feats[0][idx],pos_prepooled_feats[1][idx])) pos_merge1 = tf.maximum(pos_branch_enc[0],pos_branch_enc[1]) for idx in range(num_downsample_layers): neg_pooled_feats2.append((neg_prepooled_feats[0][idx]+neg_prepooled_feats[1][idx])/2.0) neg_merge2 = (neg_branch_enc[0]+neg_branch_enc[1])/2.0 pos_pooled_feats2.append((pos_prepooled_feats[0][idx]+pos_prepooled_feats[1][idx])/2.0) pos_merge2 = (pos_branch_enc[0]+pos_branch_enc[1])/2.0 merge=tf.concat([neg_merge1,neg_merge2, pos_merge1, pos_merge2, ref_branch_enc],axis=-1) conv = layers.conv2d(merge, 256, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv1') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_pooled_feats1[-1],neg_pooled_feats2[-1], pos_pooled_feats1[-1], pos_pooled_feats2[-1], ref_feats[-1]],axis=-1)], axis=-1) conv = layers.conv2d(merge, 128, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv2') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_pooled_feats1[-2],neg_pooled_feats2[-2],pos_pooled_feats1[-2],pos_pooled_feats2[-2], ref_feats[-2]],axis=-1)], axis=-1) conv = layers.conv2d(merge, 64, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv3') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_pooled_feats1[-3],neg_pooled_feats2[-3], pos_pooled_feats1[-3],pos_pooled_feats2[-3], ref_feats[-3]],axis=-1)], axis=-1) conv = layers.conv2d(merge, 32, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv4') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_pooled_feats1[-4],neg_pooled_feats2[-4], pos_pooled_feats1[-4], pos_pooled_feats2[-4], ref_feats[-4]],axis=-1)], axis=-1) conv = layers.conv2d(merge,3,kernel_size=3,strides=1,padding='SAME',activation=tf.nn.sigmoid, kernel_initializer=tf.contrib.layers.variance_scaling_initializer(),name='fusion_output') return tf.clip_by_value(conv, 0.0, 1.0) #Assume all images in the batch belong to same sequence; to be only used for validation; can have different lengths positive and negative sequence def deepfuse_gen_3encoder(neg_inp, pos_inp, ref): layers = tf.layers leaky_relu=tf.nn.leaky_relu with tf.variable_scope('DeepFuse', reuse=tf.AUTO_REUSE): neg_feats = [] pos_feats = [] ref_feats = [] num_downsample_layers = 4 pos_branch_enc = [] neg_branch_enc = [] num_feats = [32,64,128,256] feats1 = layers.conv2d(neg_inp, 32, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_enc_conv0') neg_feats.append(feats1) feats1 = layers.conv2d(feats1, 32, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_downsample0') feats2 = layers.conv2d(feats1, 64, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_enc_conv1') neg_feats.append(feats2) feats2 = layers.conv2d(feats2, 64, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_downsample1') feats3 = layers.conv2d(feats2, 128, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_enc_conv2') neg_feats.append(feats3) feats3 = layers.conv2d(feats3, 128, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_downsample2') feats4 = layers.conv2d(feats3, 256, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_enc_conv3') neg_feats.append(feats4) feats4 = layers.conv2d(feats4, 256, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'neg_downsample3') neg_encoding = feats4 feats1 = layers.conv2d(pos_inp, 32, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_enc_conv0') pos_feats.append(feats1) feats1 = layers.conv2d(feats1, 32, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_downsample0') feats2 = layers.conv2d(feats1, 64, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_enc_conv1') pos_feats.append(feats2) feats2 = layers.conv2d(feats2, 64, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_downsample1') feats3 = layers.conv2d(feats2, 128, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_enc_conv2') pos_feats.append(feats3) feats3 = layers.conv2d(feats3, 128, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_downsample2') feats4 = layers.conv2d(feats3, 256, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_enc_conv3') pos_feats.append(feats4) feats4 = layers.conv2d(feats4, 256, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'pos_downsample3') pos_encoding = feats4 feats1 = layers.conv2d(ref, 32, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_enc_conv0') ref_feats.append(feats1) feats1 = layers.conv2d(feats1, 32, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_downsample0') feats2 = layers.conv2d(feats1, 64, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_enc_conv1') ref_feats.append(feats2) feats2 = layers.conv2d(feats2, 64, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_downsample1') feats3 = layers.conv2d(feats2, 128, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_enc_conv2') ref_feats.append(feats3) feats3 = layers.conv2d(feats3, 128, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_downsample2') feats4 = layers.conv2d(feats3, 256, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_enc_conv3') ref_feats.append(feats4) feats4 = layers.conv2d(feats4, 256, kernel_size = 3, strides = 2, padding = 'SAME',activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'ref_downsample3') ref_encoding = feats4 for i in range(4): neg_feats[i] = [tf.reduce_max(neg_feats[i], axis=0, keepdims=True), tf.reduce_mean(neg_feats[i], axis=0, keepdims=True)] pos_feats[i] = [tf.reduce_max(pos_feats[i], axis=0, keepdims=True), tf.reduce_mean(pos_feats[i], axis=0, keepdims=True)] merged_encoding = tf.concat([tf.reduce_max(neg_encoding, axis=0, keepdims=True), tf.reduce_mean(neg_encoding, axis=0, keepdims=True), tf.reduce_max(pos_encoding, axis=0, keepdims=True), tf.reduce_mean(pos_encoding, axis=0, keepdims=True), ref_encoding], axis=-1) conv = layers.conv2d(merged_encoding, 256, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv1') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_feats[-1][0], neg_feats[-1][1], pos_feats[-1][0], pos_feats[-1][1], ref_feats[-1]],axis=-1)], axis=-1) conv = layers.conv2d(merge, 128, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv2') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_feats[-2][0], neg_feats[-2][1], pos_feats[-2][0], pos_feats[-2][1], ref_feats[-2]],axis=-1)],axis=-1) conv = layers.conv2d(merge, 64, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv3') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_feats[-3][0], neg_feats[-3][1], pos_feats[-3][0], pos_feats[-3][1], ref_feats[-3]],axis=-1)],axis=-1) conv = layers.conv2d(merge, 32, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv4') conv = tf.keras.layers.UpSampling2D((2,2))(conv) merge = tf.concat([conv, tf.concat([neg_feats[-4][0], neg_feats[-4][1], pos_feats[-4][0], pos_feats[-4][1], ref_feats[-4]],axis=-1)],axis=-1) # conv = layers.conv2d(merge, 8, kernel_size = 3, strides = 1, padding = 'SAME', activation = leaky_relu, # kernel_initializer = tf.contrib.layers.variance_scaling_initializer(), name = 'dec_conv5') conv = layers.conv2d(merge,3,kernel_size=3,strides=1,padding='SAME',activation=tf.nn.sigmoid, kernel_initializer=tf.contrib.layers.variance_scaling_initializer(),name='fusion_output') return tf.clip_by_value(conv, 0.0, 1.0)

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py

Python

src/imdb/__init__.py

Jiang-Muyun/SqueezeSeg

d52f1149ed53038fc721a067e816e83a77fd29d3

[ "BSD-2-Clause" ]

null

src/imdb/__init__.py

Jiang-Muyun/SqueezeSeg

d52f1149ed53038fc721a067e816e83a77fd29d3

[ "BSD-2-Clause" ]

10

2020-01-28T22:14:50.000Z

2022-03-11T23:59:04.000Z

src/imdb/__init__.py

YaraAlnaggar/SqueezeSeg

10343ca48ef384b27ddb8dd93551eeceb34962d6

[ "BSD-2-Clause" ]

null

from .kitti import kitti

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33970c9324927872dbbb2ee18d05fd2fd8210691

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py

Python

evaluation_scripts/plotting_multiple_trajectories.py

julianxu/Rockets

af40b5fd17570bdd310eccffbb9fb6d8afbe8a3b

[ "MIT" ]

275

2018-02-16T19:51:26.000Z

2022-03-12T23:25:41.000Z

evaluation_scripts/plotting_multiple_trajectories.py

julianxu/Rockets

af40b5fd17570bdd310eccffbb9fb6d8afbe8a3b

[ "MIT" ]

5

2018-02-14T20:55:36.000Z

2021-04-20T08:17:59.000Z

evaluation_scripts/plotting_multiple_trajectories.py

julianxu/Rockets

af40b5fd17570bdd310eccffbb9fb6d8afbe8a3b

[ "MIT" ]

49

2017-12-06T21:31:56.000Z

2021-12-11T11:02:58.000Z

""" Author: Reuben Ferrante Date: 10/05/2017 Description: General scripts for graphing instead of notebook. """ from evaluation_scripts.plotting_trajectory import * def plot_pid_and_ddpg_trajectories(res): # Low Disc # state_history = np.load('C://Users//REUBS_LEN//PycharmProjects//RocketLanding//rl_and_control//evaluation_scripts//' # 'rl_q_learning//low_discretization//final_state_history.npy') # ------------------------------- state_history = np.load('C://Users//REUBS_LEN//PycharmProjects//RocketLanding//control_and_ai//evaluation_scripts//' 'pid//final_state_history.npy') fig = res.create_figure() ax = res.add_subplot(fig, 111, "X-Position Displacement/metres", "Z-Altitude Displacement/metres", grid=False) # tests = [1, 7, 16, 22] tests = [1, 7, 16] for i in tests: convert_state_and_plot_trajectory_2(res, fig, ax, state_history[i]) state_history = np.load('C://Users//REUBS_LEN//PycharmProjects//RocketLanding//control_and_ai//evaluation_scripts//' 'ddpg//model_2_unnormalized_longer_state//final_state_history.npy') for i in tests: convert_state_and_plot_trajectory_2(res, fig, ax, state_history[i]) res.add_title('X-Z Trajectories for Multiple Tests - PID and DDPG') res.add_legend(np.append(['PID Test '+str(i+1) for i in tests], ['DDPG Test '+str(i+1) for i in tests])) res.show_plot() def plot_ddpg1_and_ddpg2_trajectories(res): state_history = np.load('C://Users//REUBS_LEN//PycharmProjects//RocketLanding//control_and_ai//evaluation_scripts//' 'ddpg//model_1_normal_state//final_state_history.npy') fig = res.create_figure() ax = res.add_subplot(fig, 111, "X-Position Displacement/metres", "Z-Altitude Displacement/metres", grid=False) tests = [1, 7, 16, 22] for i in tests: convert_state_and_plot_trajectory_2(res, fig, ax, state_history[i]) state_history = np.load('C://Users//REUBS_LEN//PycharmProjects//RocketLanding//control_and_ai//evaluation_scripts//' 'ddpg//model_2_unnormalized_longer_state//final_state_history.npy') for i in tests: convert_state_and_plot_trajectory_2(res, fig, ax, state_history[i]) res.add_title('X-Z Trajectories for Multiple Tests - DDPG Models 1 and 2') res.add_legend(np.append(['M1 Test ' + str(i+1) for i in tests], ['M2 Test ' + str(i+1) for i in tests])) res.show_plot() def plot_single_trajectories(res): # Low Disc state_history = np.load('C://Users//REUBS_LEN//PycharmProjects//RocketLanding//control_and_ai//evaluation_scripts//' 'rl_q_learning//low_discretization//final_state_history.npy') # ------------------------------- # state_history = np.load('C://Users//REUBS_LEN//PycharmProjects//RocketLanding//rl_and_control//evaluation_scripts//' # 'pid//final_state_history.npy') fig = res.create_figure() ax = res.add_subplot(fig, 111, "X-Position Displacement/metres", "Z-Altitude Displacement/metres", grid=False) test_history = np.matrix(state_history) tests = [1, 2, 7, 8, 9, 12] for i in tests: convert_state_and_plot_trajectory_2(res, fig, ax, state_history[i]) res.add_title('X-Z Trajectories for Multiple Tests - Low Action Discretization') res.add_legend(['Test ' + str(i+1) for i in tests]) res.show_plot() plot_colors = ['darkred', 'red', 'salmon', 'darkblue', 'blue', 'deepskyblue', 'cyan'] res = Graphing(plot_colors=plot_colors, fig_size=(8, 5)) plot_pid_and_ddpg_trajectories(res)

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0.777682

0

0.02032

0.179781

3,660

78

123

46.923077

0.755829

0.160383

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0.565217

0

0.375409

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0

0.021739

0

0.086957

0

null

0

1

0

null

0

6

339855d757cb9ab301e8ef41180bbf3b52548830

238

py

Python

api/leaderboard/urls.py

firatbulut19/leaderboard

6f37ed6d0b3fa9f63c955cfd5d6b5c94f481e6a9

[ "MIT" ]

null

api/leaderboard/urls.py

firatbulut19/leaderboard

6f37ed6d0b3fa9f63c955cfd5d6b5c94f481e6a9

[ "MIT" ]

null

api/leaderboard/urls.py

firatbulut19/leaderboard

6f37ed6d0b3fa9f63c955cfd5d6b5c94f481e6a9

[ "MIT" ]

null

from django.urls import path from . import views urlpatterns = [ path('', views.global_leaderboard.as_view(), name="global_leaderboard"), path('<str:country>/', views.country_leaderboard.as_view(), name="country_leaderboard"), ]

29.75

92

0.731092

29

238

5.793103

0.482759

0.202381

0.25

0

0.113445

238

8

93

29.75

0.796209

0

0.213389

0

1

0

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0.333333

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0.333333

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1

0

null

1

0

1

0

null

0

1

0

6

33eddd9418211e82b60e6b3e819f96b20503c44a

90

py

Python

python2/string_concatenation.py

callmegibby/codecademy

f2b5507ca9382571cc044f44d6f857cbd4599121

[ "MIT" ]

1

2020-09-23T21:54:37.000Z

python2/string_concatenation.py

callmegibby/codecademy

f2b5507ca9382571cc044f44d6f857cbd4599121

[ "MIT" ]

2

2020-09-23T22:08:36.000Z

2020-10-02T17:41:44.000Z

python2/string_concatenation.py

callmegibby/codecademy

f2b5507ca9382571cc044f44d6f857cbd4599121

[ "MIT" ]

1

2020-09-23T21:54:58.000Z

# Print the concatenation of "Spam and eggs" on line 3! print ("Spam " + "and " + "eggs")

30

55

0.633333

14

90

4.071429

0.714286

0.245614

0.385965

0

0.014085

0.211111

90

3

56

30

0.788732

0.588889

0

0.361111

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1

0

true

0

1

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1

0

1

0

null

0

1

0

1

0

6

33fc6e018065d310de39be13c2da222c7376d10d

120

py

Python

main.py

evenharder/mandelbrot-set

b0b4449819dc0599df0572e9dd5eec07c9ed88c8

[ "MIT" ]

null

main.py

evenharder/mandelbrot-set

b0b4449819dc0599df0572e9dd5eec07c9ed88c8

[ "MIT" ]

null

main.py

evenharder/mandelbrot-set

b0b4449819dc0599df0572e9dd5eec07c9ed88c8

[ "MIT" ]

null

from GUI import * from tkinter import * from tkinter.ttk import * def main(): getcontext().prec=100 gui=GUI() main()

13.333333

25

0.7

18

120

4.666667

0.555556

0.238095

0.404762

0

0.03

0.166667

120

9

26

13.333333

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0

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0

1

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1

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1

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null

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6