xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

fadbe0ce61bc89cbf5ace8d4fef611475711ae16

47

py

Python

config/settings/__init__.py

hqrrylyu/drf-posts-assignment

6022c73d7c72400e9fb0db5b8e0daa892b4f109e

[ "MIT" ]

null

config/settings/__init__.py

hqrrylyu/drf-posts-assignment

6022c73d7c72400e9fb0db5b8e0daa892b4f109e

[ "MIT" ]

null

config/settings/__init__.py

hqrrylyu/drf-posts-assignment

6022c73d7c72400e9fb0db5b8e0daa892b4f109e

[ "MIT" ]

null

# flake8: noqa: W403 from .production import *

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4f0e79067249d7e3b32fb33ab45a211ea4e8eb2a

2,701

py

Python

tests/test_deploy_roles.py

AdamMinton/looker_deployer

1a57809257183234b900ad49ff30ded5c26c4f2a

[ "Apache-2.0" ]

4

2020-01-09T04:24:19.000Z

2020-05-18T23:42:35.000Z

tests/test_deploy_roles.py

AdamMinton/looker_deployer

1a57809257183234b900ad49ff30ded5c26c4f2a

[ "Apache-2.0" ]

24

2022-01-06T00:49:57.000Z

2022-03-30T00:08:36.000Z

tests/test_deploy_roles.py

AdamMinton/looker_deployer

1a57809257183234b900ad49ff30ded5c26c4f2a

[ "Apache-2.0" ]

2

2021-11-24T05:48:17.000Z

2022-01-29T22:23:19.000Z

from looker_deployer.commands import deploy_roles from looker_sdk import methods, models class mockSettings: base_url = "taco" class mockAuth: settings = mockSettings() sdk = methods.LookerSDK(mockAuth(), "bar", "baz", "bosh", "bizz") def test_get_filtered_roles(mocker): role_list = [ models.Role(name="Taco"), models.Role(name="Burrito") ] mocker.patch.object(sdk, "all_roles") sdk.all_roles.return_value = role_list roles = deploy_roles.get_filtered_roles(sdk) assert roles == role_list def test_get_filtered_roles_filter(mocker): role_list = [ models.Role(name="Taco"), models.Role(name="Burrito") ] mocker.patch.object(sdk, "all_roles") sdk.all_roles.return_value = role_list roles = deploy_roles.get_filtered_roles(sdk, "Burrito") assert roles == [models.Role(name="Burrito")] def test_write_roles_new(mocker): permission_set = models.PermissionSet(name="P1", id=1) model_set = models.ModelSet(name="M1", id=1) role_list = [models.WriteRole( name="Taco", permission_set=permission_set, model_set=model_set, permission_set_id=1, model_set_id=1)] mocker.patch.object(sdk, "all_roles") mocker.patch.object(sdk, "create_role") mocker.patch.object(sdk, "all_permission_sets") mocker.patch.object(sdk, "all_model_sets") sdk.all_permission_sets.return_value = [models.PermissionSet( name="P1", id=1)] sdk.all_model_sets.return_value = [models.ModelSet(name="M1", id=1)] deploy_roles.write_roles(role_list, sdk) sdk.create_role.assert_called_once_with(role_list[0]) def test_write_roles_existing(mocker): permission_set = models.PermissionSet(name="P1", id=1) model_set = models.ModelSet(name="M1", id=1) role_list = [models.WriteRole(name="Taco", permission_set=permission_set, model_set=model_set, permission_set_id=1, model_set_id=1)] mocker.patch.object(sdk, "all_roles") mocker.patch.object(sdk, "update_role") mocker.patch.object(sdk, "all_permission_sets") mocker.patch.object(sdk, "all_model_sets") sdk.all_roles.return_value = [models.Role( name="Taco", permission_set=permission_set, model_set=model_set, permission_set_id=1, model_set_id=1, id=1)] sdk.all_permission_sets.return_value = [models.PermissionSet( name="P1", id=1)] sdk.all_model_sets.return_value = [models.ModelSet( name="M1", id=1)] deploy_roles.write_roles(role_list, sdk) sdk.update_role.assert_called_once_with(1, role_list[0])

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6

4f0e8ce8291ba87a39d6a567b55d8d4479b51e5c

9,242

py

Python

parameter_analyse/print_figure/plot_figure.py

lionelkusch/compare_zerlaut

4e22d1fdc5889fb404187bb7a48d7847759443d6

[ "Apache-2.0" ]

null

parameter_analyse/print_figure/plot_figure.py

lionelkusch/compare_zerlaut

4e22d1fdc5889fb404187bb7a48d7847759443d6

[ "Apache-2.0" ]

null

parameter_analyse/print_figure/plot_figure.py

lionelkusch/compare_zerlaut

4e22d1fdc5889fb404187bb7a48d7847759443d6

[ "Apache-2.0" ]

null

import numpy as np from scipy.io.matlab import loadmat import os from print_stability import print_stability import matplotlib.pyplot as plt from colorline import colorline import matplotlib as mpl import h5py path = os.path.dirname(__file__) + '/../analyse_dynamic/' H_LP = True cmap = plt.get_cmap('jet') norm = mpl.colors.Normalize(vmin=-100, vmax=100) limit_circle = True b_30 = loadmat(path + '/b_30/EQ_Low/EQ_Low.mat', chars_as_strings=True, simplify_cells=True) b_30['x'][:2] *= 1000 b_30['x'][-1] *= 1000 b_60 = loadmat(path + '/b_60/EQ_Low/EQ_Low.mat', chars_as_strings=True, simplify_cells=True) b_60['x'][:2] *= 1000 b_60['x'][-1] *= 1000 b_0 = loadmat(path + '/EQ_High/EQ_high.mat', chars_as_strings=True, simplify_cells=True) b_0['x'][:2] *= 1000 b_0['x'][-1] *= 1000 if H_LP: H_high = loadmat(path + '/b_30/H/H_high.mat', chars_as_strings=True, simplify_cells=True) H_high['x'][:2] *= 1000 H_high['x'][-3] *= 1000 # H_low = loadmat(path + '/b_30/H/H_low_h.mat', chars_as_strings=True, simplify_cells=True) f = h5py.File(path + '/b_30/H/H_low_h.mat') H_low={'f': np.array(f['f']).swapaxes(0,1), 'h': np.array(f['h']).swapaxes(0,1), 'v': np.array(f['v']).swapaxes(0,1), 'x': np.array(f['x']).swapaxes(0,1)} H_low['s'] = [{'index': int(f[f['s']['index'][i][0]][0][0]), 'label': ''.join(chr(character) for character in f[f['s']['label'][i][0]]), 'msg': ''.join(chr(character) for character in f[f['s']['msg'][i][0]]), } for i in range(f['s']['index'].shape[0])] H_low['x'][:2] *= 1000 H_low['x'][-3] *= 1000 LP_high = loadmat(path + '/b_30/LP/LP_high.mat', chars_as_strings=True, simplify_cells=True) LP_high['x'][:2] *= 1000 LP_high['x'][-2] *= 1000 # LP_middle_l = loadmat(path + '/b_30/LP/LP_middle_l.mat', chars_as_strings=True, simplify_cells=True) f = h5py.File(path + '/b_30/LP/LP_low_h.mat') LP_middle_l={'f': np.array(f['f']).swapaxes(0,1), 'h': np.array(f['h']).swapaxes(0,1), 'v': np.array(f['v']).swapaxes(0,1), 'x': np.array(f['x']).swapaxes(0,1)} LP_middle_l['s'] = [{'index': int(f[f['s']['index'][0][i]][0][0]), 'label': ''.join(chr(character) for character in f[f['s']['label'][0][i]]), 'msg': ''.join(chr(character) for character in f[f['s']['msg'][0][i]]), } for i in range(f['s']['index'].shape[1])] LP_middle_l['x'][:2] *= 1000 LP_middle_l['x'][-2] *= 1000 if limit_circle: limit_circle = loadmat(path + '/Limit_Circle/Limit_Circle.mat', chars_as_strings=True, simplify_cells=True) min = limit_circle['x'][:6] max = limit_circle['x'][:6] for i in range(1, int((limit_circle['x'].shape[0] - 2) / 6)): min = np.min([min, limit_circle['x'][i * 6:(i + 1) * 6]], axis=0) max = np.max([max, limit_circle['x'][i * 6:(i + 1) * 6]], axis=0) extra = limit_circle['x'][-2:] min[:2] *= 1000 max[:2] *= 1000 extra[1] *= 1000 fig = plt.figure() line_b_0 = print_stability(b_0['x'], b_0['f'], b_0['s'], 6, 0, color='k') line_b_30 = print_stability(b_30['x'], b_30['f'], b_30['s'], 6, 0, color='b') line_b_60 = print_stability(b_60['x'], b_60['f'], b_60['s'], 6, 0, color='g') if H_LP: for data in [H_high, H_low, LP_high, LP_middle_l]: colorline(data['x'][6, :], data['x'][0, :], data['x'][7, :], alpha=0.5, cmap=cmap, norm=norm) for points in data['s'][1:-1]: if points['msg'] != 'Zero-Hopf point: neutral saddle' and points['label'] != 'BV': plt.plot(data['x'][6, points['index'] - 1], data['x'][0, points['index'] - 1], 'mx', markersize=10.0) plt.text(data['x'][6, points['index'] - 1], data['x'][0, points['index'] - 1], " " + points['label']) print(points['label'], data['x'][6, points['index'] - 1], data['x'][7, points['index'] - 1], data['x'][0, points['index'] - 1], data['x'][1, points['index'] - 1]) if limit_circle: plt.plot(extra[1, :], max[0, :], '--', alpha=0.5, color='orange') plt.plot(extra[1, :], min[0, :], '--', alpha=0.5, color='orange') plt.legend([line_b_60, line_b_30, line_b_0], ['b=60', 'b=30', 'b=0']) plt.ylim(ymax=200.0, ymin=0.0) plt.xlim(xmax=200.0, xmin=-30.0) plt.xlabel("external input") plt.ylabel("firing rate of excitatory population Hz") cax = plt.axes([0.05, 0.1, 0.9, 0.02]) cbar = fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), cax=cax, orientation='horizontal', label='Some Units') cbar.set_label('adaptation') plt.subplots_adjust(bottom=0.22, top=0.98) plt.figure() line_b_0 = print_stability(b_0['x'], b_0['f'], b_0['s'], 6, 1, color='k') line_b_30 = print_stability(b_30['x'], b_30['f'], b_30['s'], 6, 1, color='b') line_b_60 = print_stability(b_60['x'], b_60['f'], b_60['s'], 6, 1, color='g') if H_LP: for data in [H_high, H_low, LP_high, LP_middle_l]: colorline(data['x'][6, :], data['x'][1, :], data['x'][7, :], alpha=0.5, cmap=cmap, norm=norm) for points in data['s'][1:-1]: if points['msg'] != 'Zero-Hopf point: neutral saddle' and points['label'] != 'BV': plt.plot(data['x'][6, points['index'] - 1], data['x'][1, points['index'] - 1], 'mx', markersize=10.0) plt.text(data['x'][6, points['index'] - 1], data['x'][1, points['index'] - 1], " " + points['label']) if limit_circle: plt.plot(extra[1, :], max[1, :], '--', alpha=0.5, color='orange') plt.plot(extra[1, :], min[1, :], '--', alpha=0.5, color='orange') plt.legend([line_b_60, line_b_30, line_b_0], ['b=60', 'b=30', 'b=0']) plt.ylim(ymax=200.0, ymin=0.0) plt.xlim(xmax=200.0, xmin=-30.0) plt.xlabel("external input") plt.ylabel("firing rate of inhibitory population Hz") cax = plt.axes([0.05, 0.1, 0.9, 0.02]) cbar = fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), cax=cax, orientation='horizontal', label='Some Units') cbar.set_label('adaptation') plt.subplots_adjust(bottom=0.22, top=0.98) plt.figure() line_b_0 = print_stability(b_0['x'], b_0['f'], b_0['s'], 0, 1, color='k') line_b_30 = print_stability(b_30['x'], b_30['f'], b_30['s'], 0, 1, color='b') line_b_60 = print_stability(b_60['x'], b_60['f'], b_60['s'], 0, 1, color='g') if H_LP: for data in [H_high, H_low, LP_high, LP_middle_l]: colorline(data['x'][0, :], data['x'][1, :], data['x'][7, :], alpha=0.5, cmap=cmap, norm=norm) for points in data['s'][1:-1]: if points['msg'] != 'Zero-Hopf point: neutral saddle' and points['label'] != 'BV': plt.plot(data['x'][0, points['index'] - 1], data['x'][1, points['index'] - 1], 'mx', markersize=10.0) plt.text(data['x'][0, points['index'] - 1], data['x'][1, points['index'] - 1], " " + points['label']) if limit_circle: plt.plot(max[0, :], max[1, :], '--', alpha=0.5, color='orange') plt.plot(min[0, :], min[1, :], '--', alpha=0.5, color='orange') plt.legend([line_b_60, line_b_30, line_b_0], ['b=60', 'b=30', 'b=0']) plt.ylim(ymax=200.0, ymin=0.0) plt.xlim(xmax=200.0, xmin=0.0) plt.xlabel("firing rate of excitatory population Hz") plt.ylabel("firing rate of inhibitory population Hz") cax = plt.axes([0.05, 0.1, 0.9, 0.02]) cbar = fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), cax=cax, orientation='horizontal', label='Some Units') cbar.set_label('adaptation') plt.subplots_adjust(bottom=0.22, top=0.98) plt.figure() if H_LP: for data in [H_high, H_low, LP_high, LP_middle_l]: colorline(data['x'][7, :], data['x'][0, :], data['x'][6, :], alpha=0.5, cmap=cmap, norm=norm) for points in data['s'][1:-1]: if points['msg'] != 'Zero-Hopf point: neutral saddle' and points['label'] != 'BV': plt.plot(data['x'][7, points['index'] - 1], data['x'][0, points['index'] - 1], 'mx', markersize=10.0) plt.text(data['x'][7, points['index'] - 1], data['x'][0, points['index'] - 1], " " + points['label']) plt.ylim(ymax=200.0, ymin=0.0) plt.xlim(xmax=200.0, xmin=-100.0) plt.xlabel("adaptation") plt.ylabel("firing rate of excitatory population Hz") cax = plt.axes([0.05, 0.1, 0.9, 0.02]) cbar = fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), cax=cax, orientation='horizontal', label='Some Units') cbar.set_label('external input') plt.subplots_adjust(bottom=0.22, top=0.98) plt.figure() if H_LP: for data in [H_high, H_low, LP_high, LP_middle_l]: colorline(data['x'][7, :], data['x'][1, :], data['x'][6, :], alpha=0.5, cmap=cmap, norm=norm) for points in data['s'][1:-1]: if points['msg'] != 'Zero-Hopf point: neutral saddle' and points['label'] != 'BV': plt.plot(data['x'][7, points['index'] - 1], data['x'][1, points['index'] - 1], 'mx', markersize=10.0) plt.text(data['x'][7, points['index'] - 1], data['x'][1, points['index'] - 1], " " + points['label']) plt.ylim(ymax=200.0, ymin=0.0) plt.xlim(xmax=200.0, xmin=-100.0) plt.xlabel("adaptation") plt.ylabel("firing rate of inhibitory population Hz") cax = plt.axes([0.05, 0.1, 0.9, 0.02]) cbar = fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), cax=cax, orientation='horizontal', label='Some Units') cbar.set_label('external input') plt.subplots_adjust(bottom=0.22, top=0.98) plt.show()

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6

878a1be82473776da230c9273d8aba91c8c8cdb5

11,401

py

Python

h2o-bindings/bin/custom/python/gen_kmeans.py

bscan/h2o-3

76073175b71fa68a0ddf99671558419246b95aa6

[ "Apache-2.0" ]

1

2019-11-02T18:01:36.000Z

h2o-bindings/bin/custom/python/gen_kmeans.py

mykras/h2o-3

c7240c507c31aaa7ab41f6a723ccc645ce116e3a

[ "Apache-2.0" ]

null

h2o-bindings/bin/custom/python/gen_kmeans.py

mykras/h2o-3

c7240c507c31aaa7ab41f6a723ccc645ce116e3a

[ "Apache-2.0" ]

null

doc = dict( __class__="""Performs k-means clustering on an H2O dataset.""", ) examples = dict( categorical_encoding=""" >>> prostate = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/prostate/prostate.csv") >>> predictors = ["AGE", "RACE", "DPROS", "DCAPS", "PSA", "VOL", "GLEASON"] >>> train, valid = prostate.split_frame(ratios = [.8], seed = 1234) >>> encoding = "one_hot_explicit" >>> pros_km = H2OKMeansEstimator(categorical_encoding = encoding, ... seed = 1234) >>> pros_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> pros_km.scoring_history() """, estimate_k=""" >>> iris = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_wheader.csv") >>> iris['class'] = iris['class'].asfactor() >>> predictors = iris.columns[:-1] >>> train, valid = iris.split_frame(ratios = [.8], seed = 1234) >>> iris_kmeans = H2OKMeansEstimator(k = 10, ... estimate_k = True, ... standardize = False, ... seed = 1234) >>> iris_kmeans.train(x = predictors, ... training_frame = train, ... validation_frame=valid) >>> iris_kmeans.scoring_history() """, export_checkpoints_dir=""" >>> import tempfile >>> from os import listdir >>> airlines = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/airlines/allyears2k_headers.zip", destination_frame="air.hex") >>> predictors = ["DayofMonth", "DayOfWeek"] >>> checkpoints_dir = tempfile.mkdtemp() >>> air_km = H2OKMeansEstimator(export_checkpoints_dir = checkpoints_dir, ... seed = 1234) >>> air_km.train(x = predictors, training_frame = airlines) >>> len(listdir(checkpoints_dir)) """, fold_assignment=""" >>> ozone = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/glm_test/ozone.csv") >>> predictors = ["radiation","temperature","wind"] >>> train, valid = ozone.split_frame(ratios = [.8], seed = 1234) >>> ozone_km = H2OKMeansEstimator(fold_assignment = "Random", ... nfolds = 5, ... seed = 1234) >>> ozone_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> ozone_km.scoring_history() """, fold_column=""" >>> cars = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/junit/cars_20mpg.csv") >>> predictors = ["displacement","power","weight","acceleration","year"] >>> fold_numbers = cars.kfold_column(n_folds = 5, seed = 1234) >>> fold_numbers.set_names(["fold_numbers"]) >>> cars = cars.cbind(fold_numbers) >>> print(cars['fold_numbers']) >>> cars_km = H2OKMeansEstimator(seed = 1234) >>> cars_km.train(x = predictors, ... training_frame = cars, ... fold_column = "fold_numbers") >>> cars_km.scoring_history() """, ignore_const_cols=""" >>> cars = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/junit/cars_20mpg.csv") >>> predictors = ["displacement","power","weight","acceleration","year"] >>> cars["const_1"] = 6 >>> cars["const_2"] = 7 >>> train, valid = cars.split_frame(ratios = [.8], seed = 1234) >>> cars_km = H2OKMeansEstimator(ignore_const_cols = True, ... seed = 1234) >>> cars_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> cars_km.scoring_history() """, init=""" >>> seeds = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/flow_examples/seeds_dataset.txt") >>> predictors = seeds.columns[0:7] >>> train, valid = seeds.split_frame(ratios = [.8], seed = 1234) >>> seeds_km = H2OKMeansEstimator(k = 3, ... init='Furthest', ... seed = 1234) >>> seeds_km.train(x = predictors, ... training_frame = train, ... validation_frame= valid) >>> seeds_km.scoring_history() """, k=""" >>> seeds = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/flow_examples/seeds_dataset.txt") >>> predictors = seeds.columns[0:7] >>> train, valid = seeds.split_frame(ratios = [.8], seed = 1234) >>> seeds_km = H2OKMeansEstimator(k = 3, seed = 1234) >>> seeds_km.train(x = predictors, ... training_frame = train, ... validation_frame=valid) >>> seeds_km.scoring_history() """, keep_cross_validation_fold_assignment=""" >>> ozone = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/glm_test/ozone.csv") >>> predictors = ["radiation","temperature","wind"] >>> train, valid = ozone.split_frame(ratios = [.8], seed = 1234) >>> ozone_km = H2OKMeansEstimator(keep_cross_validation_fold_assignment = True, ... nfolds = 5, ... seed = 1234) >>> ozone_km.train(x = predictors, ... training_frame = train) >>> ozone_km.scoring_history() """, keep_cross_validation_models=""" >>> ozone = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/glm_test/ozone.csv") >>> predictors = ["radiation","temperature","wind"] >>> train, valid = ozone.split_frame(ratios = [.8], seed = 1234) >>> ozone_km = H2OKMeansEstimator(keep_cross_validation_models = True, ... nfolds = 5, ... seed = 1234) >>> ozone_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> ozone_km.scoring_history() """, max_iterations=""" >>> benign = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/logreg/benign.csv") >>> predictors = ["AGMT","FNDX","HIGD","DEG","CHK", ... "AGP1","AGMN","LIV","AGLP"] >>> train, valid = benign.split_frame(ratios = [.8], seed = 1234) >>> benign_km = H2OKMeansEstimator(max_iterations = 50) >>> benign_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> benign_km.scoring_history() """, max_runtime_secs=""" >>> benign = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/logreg/benign.csv") >>> predictors = ["AGMT","FNDX","HIGD","DEG","CHK", ... "AGP1","AGMN","LIV","AGLP"] >>> train, valid = benign.split_frame(ratios = [.8], seed = 1234) >>> benign_km = H2OKMeansEstimator(max_runtime_secs = 10, ... seed = 1234) >>> benign_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> benign_km.scoring_history() """, nfolds=""" >>> benign = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/logreg/benign.csv") >>> predictors = ["AGMT","FNDX","HIGD","DEG","CHK", ... "AGP1","AGMN","LIV","AGLP"] >>> train, valid = benign.split_frame(ratios = [.8], seed = 1234) >>> benign_km = H2OKMeansEstimator(nfolds = 5, seed = 1234) >>> benign_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> benign_km.scoring_history() """, score_each_iteration=""" >>> benign = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/logreg/benign.csv") >>> predictors = ["AGMT","FNDX","HIGD","DEG","CHK", ... "AGP1","AGMN","LIV","AGLP"] >>> train, valid = benign.split_frame(ratios = [.8], seed = 1234) >>> benign_km = H2OKMeansEstimator(score_each_iteration = True, ... seed = 1234) >>> benign_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> benign_km.scoring_history() """, seed=""" >>> prostate = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/prostate/prostate.csv") >>> predictors = ["AGE", "RACE", "DPROS", "DCAPS", "PSA", "VOL", "GLEASON"] >>> train, valid = prostate.split_frame(ratios = [.8], seed = 1234) >>> pros_w_seed = H2OKMeansEstimator(seed = 1234) >>> pros_w_seed.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> pros_wo_seed = H2OKMeansEstimator() >>> pros_wo_seed.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> pros_w_seed.scoring_history() >>> pros_wo_seed.scoring_history() """, standardize=""" >>> boston = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/gbm_test/BostonHousing.csv") >>> predictors = boston.columns[:-1] >>> boston['chas'] = boston['chas'].asfactor() >>> train, valid = boston.split_frame(ratios = [.8]) >>> boston_km = H2OKMeansEstimator(standardize = True) >>> boston_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> boston_km.scoring_history() """, training_frame=""" >>> prostate = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/prostate/prostate.csv") >>> predictors = ["AGE", "RACE", "DPROS", "DCAPS", ... "PSA", "VOL", "GLEASON"] >>> train, valid = prostate.split_frame(ratios = [.8], seed = 1234) >>> pros_km = H2OKMeansEstimator(seed = 1234) >>> pros_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> pros_km.scoring_history() """, user_points=""" >>> iris = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_wheader.csv") >>> iris['class'] = iris['class'].asfactor() >>> predictors = iris.columns[:-1] >>> train, valid = iris.split_frame(ratios = [.8], seed = 1234) >>> point1 = [4.9,3.0,1.4,0.2] >>> point2 = [5.6,2.5,3.9,1.1] >>> point3 = [6.5,3.0,5.2,2.0] >>> points = h2o.H2OFrame([point1, point2, point3]) >>> iris_km = H2OKMeansEstimator(k = 3, ... user_points = points, ... seed = 1234) >>> iris_km.train(x=predictors, ... training_frame=iris, ... validation_frame=valid) >>> iris_kmeans.tot_withinss(valid = True) """, validation_frame=""" >>> prostate = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/prostate/prostate.csv") >>> predictors = ["AGE", "RACE", "DPROS", "DCAPS", ... "PSA", "VOL", "GLEASON"] >>> train, valid = prostate.split_frame(ratios = [.8], seed = 1234) >>> pros_km = H2OKMeansEstimator(seed = 1234) >>> pros_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> pros_km.scoring_history() """, keep_cross_validation_predictions=""" >>> prostate = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/prostate/prostate.csv") >>> predictors = ["AGE", "RACE", "DPROS", "DCAPS", ... "PSA", "VOL", "GLEASON"] >>> train, valid = prostate.split_frame(ratios = [.8], seed = 1234) >>> pros_km = H2OKMeansEstimator(keep_cross_validation_predictions = True, ... nfolds = 5, ... seed = 1234) >>> pros_km.train(x = predictors, ... training_frame = train, ... validation_frame = valid) >>> pros_km.scoring_history() """ )

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879922d1e2ccd2a937f9ec864c5868db73302362

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py

Python

unit/test_needs_restart.py

armohamm/ansible-cartridge

85e2d87d61d5805844378f750c9c675e531b0015

[ "BSD-2-Clause" ]

null

unit/test_needs_restart.py

armohamm/ansible-cartridge

85e2d87d61d5805844378f750c9c675e531b0015

[ "BSD-2-Clause" ]

null

unit/test_needs_restart.py

armohamm/ansible-cartridge

85e2d87d61d5805844378f750c9c675e531b0015

[ "BSD-2-Clause" ]

null

# Hack ansible.module_utils.helpers import import sys import module_utils.helpers as helpers sys.modules['ansible.module_utils.helpers'] = helpers import os sys.path.append(os.path.dirname(__file__)) import unittest from parameterized import parameterized from instance import Instance from helpers import set_box_cfg import itertools from library.cartridge_needs_restart import needs_restart def call_needs_restart(control_sock, restarted=None, appname=Instance.APPNAME, instance_conf_file=Instance.INSTANCE_CONF_PATH, conf_section_name=Instance.CONF_SECTION, config={}, cluster_cookie=Instance.COOKIE, cartridge_defaults={}, stateboard=False): return needs_restart({ 'restarted': restarted, 'control_sock': control_sock, 'appname': appname, 'instance_conf_file': instance_conf_file, 'conf_section_name': conf_section_name, 'cluster_cookie': cluster_cookie, 'cartridge_defaults': cartridge_defaults, 'config': config, 'stateboard': stateboard, }) class TestNeedsRestart(unittest.TestCase): def setUp(self): self.cookie = 'secret' self.console_sock = './tmp/x.sock' self.instance = Instance(self.console_sock, self.cookie) self.instance.start() def test_restart_forced(self): res = call_needs_restart( control_sock=self.console_sock, restarted=True ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) def test_restart_disabled(self): res = call_needs_restart( control_sock=self.console_sock, restarted=False ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) def test_instance_not_started(self): # console sock doesn't exists self.instance.remove_file(self.console_sock) res = call_needs_restart( control_sock=self.console_sock ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) # cannot connect to console sock bad_socket_path = 'bad-socket-path' self.instance.write_file(bad_socket_path) res = call_needs_restart( control_sock=bad_socket_path ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) def test_code_was_updated(self): # code was updated today, socket yesterday - needs restart self.instance.set_path_mtime(self.instance.APP_CODE_PATH, self.instance.DATE_TODAY) self.instance.set_path_mtime(self.console_sock, self.instance.DATE_YESTERDAY) res = call_needs_restart(control_sock=self.console_sock) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) @parameterized.expand( itertools.product( ["instance", "stateboard"], ["memtx_memory", "vinyl_memory"], ) ) def test_config_changed(self, instance_type, memory_param_name): param_name = 'param' param_current_value = 'current-value' param_new_value = 'new-value' current_memory_size = 100 memtx_memory_new_value = 200 stateboard = instance_type == 'stateboard' self.instance.set_instance_config({ param_name: param_current_value, memory_param_name: current_memory_size }) set_box_cfg(self.instance, **{memory_param_name: current_memory_size}) # nothing changed res = call_needs_restart( control_sock=self.console_sock, config={ param_name: param_current_value, memory_param_name: current_memory_size }, stateboard=stateboard, ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) # param changed, memory size not res = call_needs_restart( control_sock=self.console_sock, config={ param_name: param_new_value, memory_param_name: current_memory_size }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) # param isn't changed # memory size is changed in config # but isn't changed on instance set_box_cfg(self.instance, **{memory_param_name: current_memory_size}) res = call_needs_restart( control_sock=self.console_sock, config={ param_name: param_current_value, memory_param_name: memtx_memory_new_value }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) # param isn't changed # memory size is changed in config # and changed on instance set_box_cfg(self.instance, **{memory_param_name: memtx_memory_new_value}) res = call_needs_restart( control_sock=self.console_sock, config={ param_name: param_current_value, memory_param_name: memtx_memory_new_value }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) # param is changed # memory size is changed in config # and changed on instance set_box_cfg(self.instance, **{memory_param_name: memtx_memory_new_value}) res = call_needs_restart( control_sock=self.console_sock, config={ param_name: param_new_value, memory_param_name: memtx_memory_new_value }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) @parameterized.expand( itertools.product( ["instance", "stateboard"], ["memtx_memory", "vinyl_memory"], ) ) def test_app_config_changed(self, instance_type, memory_param_name): param_name = 'param' param_current_value = 'current-value' param_new_value = 'new-value' current_memory_size = 100 memtx_memory_new_value = 200 stateboard = instance_type == 'stateboard' self.instance.set_app_config({ param_name: param_current_value, memory_param_name: current_memory_size }) set_box_cfg(self.instance, **{memory_param_name: current_memory_size}) # nothing changed res = call_needs_restart( control_sock=self.console_sock, cartridge_defaults={ param_name: param_current_value, memory_param_name: current_memory_size }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) # param changed, memory size not res = call_needs_restart( control_sock=self.console_sock, cartridge_defaults={ param_name: param_new_value, memory_param_name: current_memory_size }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) if not stateboard: self.assertTrue(res.changed) else: self.assertFalse(res.changed) # param isn't changed # memory size is changed in config # but isn't changed on instance set_box_cfg(self.instance, **{memory_param_name: current_memory_size}) res = call_needs_restart( control_sock=self.console_sock, cartridge_defaults={ param_name: param_current_value, memory_param_name: memtx_memory_new_value }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) if not stateboard: self.assertTrue(res.changed) else: self.assertFalse(res.changed) # param isn't changed # memory size is changed in config # and changed on instance set_box_cfg(self.instance, **{memory_param_name: memtx_memory_new_value}) res = call_needs_restart( control_sock=self.console_sock, cartridge_defaults={ param_name: param_current_value, memory_param_name: memtx_memory_new_value }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) # param is changed # memory size is changed in config # and changed on instance set_box_cfg(self.instance, **{memory_param_name: memtx_memory_new_value}) res = call_needs_restart( control_sock=self.console_sock, cartridge_defaults={ param_name: param_new_value, memory_param_name: memtx_memory_new_value }, stateboard=stateboard ) self.assertTrue(res.success, msg=res.msg) if not stateboard: self.assertTrue(res.changed) else: self.assertFalse(res.changed) @parameterized.expand([ ["memtx_memory"], ["vinyl_memory"], ]) def test_both_app_and_instance_memtx_memory_changed(self, memory_param_name): current_memory_size = 100 new_memory_size_instance = 200 new_memory_size_app = 300 self.instance.set_app_config({ memory_param_name: current_memory_size }) self.instance.set_instance_config({ memory_param_name: current_memory_size }) set_box_cfg(self.instance, **{memory_param_name: current_memory_size}) # nothing changed res = call_needs_restart( control_sock=self.console_sock, config={ memory_param_name: current_memory_size }, cartridge_defaults={ memory_param_name: current_memory_size } ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) # memory size changed only in cartridge_defaults res = call_needs_restart( control_sock=self.console_sock, config={ memory_param_name: current_memory_size }, cartridge_defaults={ memory_param_name: new_memory_size_instance } ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) # memory size changed both in cartridge_defaults and config res = call_needs_restart( control_sock=self.console_sock, config={ memory_param_name: new_memory_size_instance }, cartridge_defaults={ memory_param_name: new_memory_size_app } ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) # memory size changed both in cartridge_defaults and config # memory size on instance is equal to value from cartridge_defaults set_box_cfg(self.instance, **{memory_param_name: new_memory_size_app}) res = call_needs_restart( control_sock=self.console_sock, config={ memory_param_name: new_memory_size_instance }, cartridge_defaults={ memory_param_name: new_memory_size_app } ) self.assertTrue(res.success, msg=res.msg) self.assertTrue(res.changed) # memory size changed both in cartridge_defaults and config # memory size on instance is equal to value from config set_box_cfg(self.instance, **{memory_param_name: new_memory_size_instance}) res = call_needs_restart( control_sock=self.console_sock, config={ memory_param_name: new_memory_size_instance }, cartridge_defaults={ memory_param_name: new_memory_size_app } ) self.assertTrue(res.success, msg=res.msg) self.assertFalse(res.changed) def tearDown(self): self.instance.stop()

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null

0

6

87e51f15ef719923be5b11b884bb55e8f581a965

102

py

Python

MedSemanticSearch/evaluation/evaluate_text.py

DanielhCarranza/info-retrieval-semantic-scholar

004fc0cbc7d9e6fd1301ce28430f661cfbf638ce

[ "MIT" ]

4

2020-08-07T00:34:25.000Z

2022-02-16T09:36:35.000Z

MedSemanticSearch/evaluation/evaluate_text.py

DanielhCarranza/MedSearch

004fc0cbc7d9e6fd1301ce28430f661cfbf638ce

[ "MIT" ]

null

MedSemanticSearch/evaluation/evaluate_text.py

DanielhCarranza/MedSearch

004fc0cbc7d9e6fd1301ce28430f661cfbf638ce

[ "MIT" ]

null

"""Run Validation Test""" import os from pathlib import Path from time import time import unittest

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6

87ff2e9d9cbd214847e1d4a9c0cd38a61d7b0a5a

34

py

Python

plasma/cli/__init__.py

rcallan/plasma-mvp

48ec5a35cb4c0c15ef4737d94bd1ff112de9d149

[ "Apache-2.0" ]

590

2018-01-17T19:09:40.000Z

2020-05-29T03:28:45.000Z

plasma/cli/__init__.py

littlewhiteZ/plasma-mvp

fcd1e211f70ee7f7c482d1201caff7580a2951cc

[ "Apache-2.0" ]

174

2018-01-17T19:10:53.000Z

2019-03-04T13:51:44.000Z

plasma/cli/__init__.py

littlewhiteZ/plasma-mvp

fcd1e211f70ee7f7c482d1201caff7580a2951cc

[ "Apache-2.0" ]

172

2018-01-17T19:05:12.000Z

2020-03-12T01:40:12.000Z

from .cli import cli # Noqa F401

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null

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1

0

6

e21630ec38f5f5df90335735aed3f86468209534

255

py

Python

{{cookiecutter.project_slug}}/backend/core/database/__init__.py

devalv/cookiecutter-fastapi

c7cfd3caa14b40dcc5d8ff6bdb6e25cfed3c9d00

[ "MIT" ]

2

2021-12-26T00:10:19.000Z

2022-01-30T21:24:31.000Z

{{cookiecutter.project_slug}}/backend/core/database/__init__.py

devalv/cookiecutter-fastapi

c7cfd3caa14b40dcc5d8ff6bdb6e25cfed3c9d00

[ "MIT" ]

1

2021-10-10T17:38:30.000Z

2021-10-10T18:30:24.000Z

{{cookiecutter.project_slug}}/backend/core/database/__init__.py

devalv/cookiecutter-fastapi

c7cfd3caa14b40dcc5d8ff6bdb6e25cfed3c9d00

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Project database configuration.""" from .models import db from .models.security import TokenInfo as TokenInfoGinoModel from .models.security import User as UserGinoModel __all__ = ["UserGinoModel", "TokenInfoGinoModel", "db"]

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null

0

1

0

1

0

6

3560a068f7dd8ef181800a3cc28edecd009c77ee

25

py

Python

models/__init__.py

EthanC/N31L

d757d6895333b92772d40664d6831f0e9e9fe295

[ "MIT" ]

4

2018-02-15T08:55:04.000Z

2022-02-27T08:02:38.000Z

models/__init__.py

EthanC/N31L

d757d6895333b92772d40664d6831f0e9e9fe295

[ "MIT" ]

null

models/__init__.py

EthanC/N31L

d757d6895333b92772d40664d6831f0e9e9fe295

[ "MIT" ]

null

from .state import State

12.5

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1

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1

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6

35b0a7c50dc1706c88cfbcd929caa5adbc9279da

49

py

Python

mockup-server/__init__.py

ghazal-khaki/restfulpy-client.js-1

889fbe74dff40475f5462b74745af43cc0f44975

[ "MIT" ]

16

2017-07-07T20:56:03.000Z

2018-12-19T11:09:34.000Z

mockup-server/__init__.py

ghazal-khaki/restfulpy-client.js-1

889fbe74dff40475f5462b74745af43cc0f44975

[ "MIT" ]

73

2017-07-14T10:48:01.000Z

2022-02-17T19:37:25.000Z

mockup-server/__init__.py

ghazal-khaki/restfulpy-client.js-1

889fbe74dff40475f5462b74745af43cc0f44975

[ "MIT" ]

5

2017-08-30T21:01:13.000Z

2020-10-10T17:18:52.000Z

from .simple import SimpleMockupServerSubCommand

24.5

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35d570cc06826ea9cf9631786960da2ab199d18c

96

py

Python

transformers/analab/plot/plot.py

lianapanatau/BERT-for-RRC-ABSA

d31d81d5f9dce594a23f256199988fc2a11ce016

[ "Apache-2.0" ]

425

2019-03-31T02:22:29.000Z

2022-03-26T06:55:34.000Z

transformers/analab/plot/plot.py

lianapanatau/BERT-for-RRC-ABSA

d31d81d5f9dce594a23f256199988fc2a11ce016

[ "Apache-2.0" ]

23

2019-04-27T09:26:08.000Z

2021-11-10T10:18:30.000Z

transformers/analab/plot/plot.py

lianapanatau/BERT-for-RRC-ABSA

d31d81d5f9dce594a23f256199988fc2a11ce016

[ "Apache-2.0" ]

86

2019-04-09T06:41:29.000Z

2022-03-14T02:11:56.000Z

class Plot(object): def __init__(self): pass def __call__(self): pass

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py

Python

src/math.py

mdvandamme/test-circleci

ac7d477afe10609413e4be34e1d5c2631d52d354

[ "MIT" ]

null

src/math.py

mdvandamme/test-circleci

ac7d477afe10609413e4be34e1d5c2631d52d354

[ "MIT" ]

null

src/math.py

mdvandamme/test-circleci

ac7d477afe10609413e4be34e1d5c2631d52d354

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ """ class Math(): def addition(value1, value2): if not isinstance(value1, int) and not isinstance(value2, int): return 'Invalid input' else: return value1 + value2 def soustraction (value1, value2): if not isinstance(value1, int) and not isinstance(value2, int): return 'Invalid input' else: return value1 - value2

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py

Python

front.py

plexixx/populationQueryService

8fa9ce3668b0b3ade433ee89890669082e48aad1

[ "MIT" ]

null

front.py

plexixx/populationQueryService

8fa9ce3668b0b3ade433ee89890669082e48aad1

[ "MIT" ]

null

front.py

plexixx/populationQueryService

8fa9ce3668b0b3ade433ee89890669082e48aad1

[ "MIT" ]

null

from os import sep import aiohttp import asyncio import argparse import pprint import json import numpy as np import matplotlib.pyplot as plt NO_DATA = -9999 def paintPopulation(X, Y): fig = plt.figure() plt.scatter(X, Y, marker='o', color='darkgray') plt.xlabel("Longitude") plt.ylabel("Latitude") plt.legend(loc="best") plt.title("Population Distribution Diagram",fontsize=16) plt.show() def getAxisList(lonMin, lonMax, latMin, latMax, ret): step = 30 / 3600 xList = [] yList = [] i = 0 for lon in np.arange(lonMin, lonMax, step): j = 0 for lat in np.arange(latMin, latMax, step): if ret[i][j] != NO_DATA and ret[i][j] > 0: xList.append(lon) yList.append(lat) return xList, yList async def main(host, port, type, num, co): async with aiohttp.ClientSession() as session: async with session.get(f'http://{host}:{port}/pop?type={type}&num={num}&co={co}') as response: print("Status:", response.status) print("Content-type:", response.headers['content-type']) #json_to_process = await response.json() json_to_process = [{'TotalPopulation': 4174.176958676027, 'lonMin': 135.0, 'latMin': 45.0, 'lonMax': 135.1, 'latMax': 45.2, 'row': 12, 'col': 25, 'GridStats': [{'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901341}, {'Data': 4.901342}, {'Data': -9999}, {'Data': -9999}, {'Data': 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{'Data': 4.907039}, {'Data': 4.90704}, {'Data': -9999}, {'Data': 4.907752}, {'Data': 4.907751}, {'Data': 4.907751}, {'Data': 4.907752}, {'Data': 4.90775}, {'Data': 4.907752}, {'Data': 4.90775}, {'Data': 4.907752}, {'Data': 4.907751}, {'Data': 4.907751}, {'Data': 4.907751}, {'Data': 4.907752}, {'Data': 4.90775}, {'Data': 4.907752}, {'Data': 4.907751}, {'Data': 4.907751}, {'Data': 4.907751}, {'Data': 4.907752}, {'Data': 4.90775}, {'Data': 4.907752}, {'Data': 4.907751}, {'Data': 4.907751}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': 4.908464}, {'Data': 4.908463}, {'Data': 4.908463}, {'Data': 4.908464}, {'Data': 4.908463}, {'Data': 4.908464}, {'Data': 4.908462}, {'Data': 4.908464}, {'Data': 4.908463}, {'Data': 4.908464}, {'Data': 4.908463}, {'Data': 4.908464}, {'Data': 4.908463}, {'Data': 4.908464}, {'Data': 4.908463}, {'Data': 4.908463}, {'Data': 4.908463}, {'Data': 4.908464}, {'Data': 4.908463}, {'Data': 4.908464}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}, {'Data': -9999}]}] json_to_process = json_to_process[0] x_list = [] y_list = [] r_list = [] stat = json_to_process.get('GridStats') total = json_to_process.get('TotalPopulation') cols = json_to_process.get('col') rows = json_to_process.get('row') lonMin = json_to_process.get('lonMin') lonMax = json_to_process.get('lonMax') latMin = json_to_process.get('latMin') latMax = json_to_process.get('latMax') print(f'Total Population: {total}') print(stat) for i in range(rows): l = [] for j in range(cols): l.append(stat[i*rows+j].get('Data')) r_list.append(l) x_list, y_list = getAxisList(lonMin=lonMin, lonMax=lonMax, latMin=latMin, latMax=latMax, ret=r_list) print('----------') print(len(x_list)) print(len(y_list)) paintPopulation(np.array(x_list), np.array(y_list)) if __name__ == '__main__': parser = argparse.ArgumentParser(description='world population client') parser.add_argument('--type', dest='type') parser.add_argument('--num', dest='num', type=int) parser.add_argument('--co', dest='co') parser.add_argument('host') parser.add_argument('port') args = parser.parse_args() print(f'{args}') asyncio.run(main(args.host, args.port, args.type, args.num, args.co))

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Python

venv/lib/python3.8/site-packages/setuptools/dist.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/setuptools/dist.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/setuptools/dist.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/cb/78/10/65ba1d6ea3931bf717157b90d8e9d3c1c88896966921c89aa713887c17

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py

Python

epytope/Data/pssms/epidemix/mat/B_44_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/epidemix/mat/B_44_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/epidemix/mat/B_44_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

B_44_9 = {0: {'A': -0.4, 'C': -2.0, 'E': 0.8, 'D': 1.3, 'G': 0.2, 'F': 0.0, 'I': -3.0, 'H': -1.8, 'K': 0.4, 'M': -2.0, 'L': -3.6, 'N': 1.1, 'Q': -2.0, 'P': -2.8, 'S': -0.4, 'R': -2.5, 'T': 0.5, 'W': -1.8, 'V': 0.0, 'Y': -2.5}, 1: {'A': -2.9, 'C': -2.8, 'E': 2.6, 'D': -1.7, 'G': -3.5, 'F': -3.7, 'I': -4.0, 'H': -1.5, 'K': -2.1, 'M': -2.4, 'L': -3.8, 'N': -2.4, 'Q': -1.4, 'P': -2.8, 'S': -2.6, 'R': -2.3, 'T': -2.9, 'W': -1.8, 'V': -3.5, 'Y': -2.7}, 2: {'A': 0.2, 'C': -1.7, 'E': -2.8, 'D': -0.1, 'G': 0.4, 'F': 0.1, 'I': 0.2, 'H': 0.6, 'K': -0.5, 'M': -1.6, 'L': -0.9, 'N': 1.1, 'Q': 0.0, 'P': -2.9, 'S': -0.1, 'R': 0.2, 'T': -2.5, 'W': -1.5, 'V': 0.8, 'Y': 0.4}, 3: {'A': -0.1, 'C': -1.5, 'E': 0.0, 'D': 0.3, 'G': -0.3, 'F': -2.3, 'I': -0.1, 'H': -1.9, 'K': 0.6, 'M': -1.2, 'L': 0.6, 'N': -2.4, 'Q': -2.1, 'P': 0.1, 'S': 0.2, 'R': -0.2, 'T': 0.0, 'W': -1.5, 'V': 0.5, 'Y': -2.2}, 4: {'A': -2.9, 'C': -1.4, 'E': -3.2, 'D': -3.3, 'G': 0.0, 'F': 1.2, 'I': 0.3, 'H': -2.1, 'K': -2.9, 'M': -0.8, 'L': 1.4, 'N': -2.8, 'Q': 0.1, 'P': -0.1, 'S': -3.1, 'R': -0.1, 'T': -2.6, 'W': 1.3, 'V': -0.3, 'Y': 0.4}, 5: {'A': 0.0, 'C': -1.7, 'E': -2.9, 'D': -3.0, 'G': -0.4, 'F': -0.2, 'I': -0.1, 'H': 1.4, 'K': -0.5, 'M': -1.4, 'L': 0.3, 'N': 0.5, 'Q': 0.5, 'P': -0.5, 'S': -0.7, 'R': 0.4, 'T': -0.2, 'W': 1.6, 'V': 0.6, 'Y': -2.2}, 6: {'A': 0.4, 'C': -1.6, 'E': -0.5, 'D': -2.9, 'G': -3.3, 'F': 0.5, 'I': 0.2, 'H': 1.1, 'K': 0.5, 'M': -1.3, 'L': 0.1, 'N': 0.0, 'Q': 0.0, 'P': -0.1, 'S': -2.8, 'R': -0.1, 'T': -0.1, 'W': -1.4, 'V': 0.7, 'Y': 0.1}, 7: {'A': 0.3, 'C': -1.6, 'E': -0.4, 'D': -2.7, 'G': 0.0, 'F': 0.6, 'I': -2.5, 'H': -1.9, 'K': 0.7, 'M': 0.4, 'L': -3.2, 'N': -2.4, 'Q': 0.5, 'P': -2.7, 'S': 0.9, 'R': 0.3, 'T': -0.2, 'W': -1.6, 'V': 0.7, 'Y': -2.1}, 8: {'A': -3.5, 'C': -1.9, 'E': -3.8, 'D': -3.9, 'G': -4.1, 'F': 2.3, 'I': -2.3, 'H': -1.9, 'K': -3.6, 'M': 0.7, 'L': 0.6, 'N': -3.5, 'Q': -3.1, 'P': -3.6, 'S': -3.6, 'R': -3.5, 'T': -3.1, 'W': 1.7, 'V': -2.7, 'Y': 1.9}}

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Python

tests/test_utils.py

jplsek/git-pw

c22ac35012ac8b61e564564150c14f436b814e61

[ "MIT" ]

null

tests/test_utils.py

jplsek/git-pw

c22ac35012ac8b61e564564150c14f436b814e61

[ "MIT" ]

null

tests/test_utils.py

jplsek/git-pw

c22ac35012ac8b61e564564150c14f436b814e61

[ "MIT" ]

null

"""Unit tests for ``git_pw/utils.py``.""" import subprocess import os import mock from git_pw import utils @mock.patch.object(utils.subprocess, 'check_output', return_value=b' bar ') def test_git_config(mock_subprocess): value = utils.git_config('foo') assert value == 'bar' mock_subprocess.assert_called_once_with(['git', 'config', 'foo']) @mock.patch.object(utils.subprocess, 'check_output', return_value=b'\xf0\x9f\xa4\xb7') def test_git_config_unicode(mock_subprocess): value = utils.git_config('foo') assert value == u'\U0001f937' mock_subprocess.assert_called_once_with(['git', 'config', 'foo']) @mock.patch.object(utils.subprocess, 'check_output', side_effect=subprocess.CalledProcessError(1, 'xyz', '123')) def test_git_config_error(mock_subprocess): value = utils.git_config('foo') assert value == '' @mock.patch.object(utils, 'git_config', return_value='bar') @mock.patch.object(utils, '_tabulate') @mock.patch.object(utils, '_echo_via_pager') @mock.patch.dict(os.environ, {'GIT_PAGER': 'foo', 'PAGER': 'baz'}) def test_echo_via_pager_env_GIT_PAGER(mock_inner, mock_tabulate, mock_config): utils.echo_via_pager('test', ('foo',), None) mock_config.assert_not_called() mock_tabulate.assert_called_once_with('test', ('foo',), None) mock_inner.assert_called_once_with('foo', mock_tabulate.return_value) @mock.patch.object(utils, 'git_config', return_value='bar') @mock.patch.object(utils, '_tabulate') @mock.patch.object(utils, '_echo_via_pager') @mock.patch.dict(os.environ, {'PAGER': 'baz'}) def test_echo_via_pager_config(mock_inner, mock_tabulate, mock_config): utils.echo_via_pager('test', ('foo',), None) mock_config.assert_called_once_with('core.parser') mock_tabulate.assert_called_once_with('test', ('foo',), None) mock_inner.assert_called_once_with('bar', mock_tabulate.return_value) @mock.patch.object(utils, 'git_config', return_value=None) @mock.patch.object(utils, '_tabulate') @mock.patch.object(utils, '_echo_via_pager') @mock.patch.dict(os.environ, {'PAGER': 'baz'}) def test_echo_via_pager_env_PAGER(mock_inner, mock_tabulate, mock_config): utils.echo_via_pager('test', ('foo',), None) mock_config.assert_called_once_with('core.parser') mock_tabulate.assert_called_once_with('test', ('foo',), None) mock_inner.assert_called_once_with('baz', mock_tabulate.return_value) @mock.patch.object(utils, 'git_config', return_value=None) @mock.patch.object(utils, '_tabulate') @mock.patch.object(utils, '_echo_via_pager') def test_echo_via_pager_env_default(mock_inner, mock_tabulate, mock_config): utils.echo_via_pager('test', ('foo',), None) mock_config.assert_called_once_with('core.parser') mock_tabulate.assert_called_once_with('test', ('foo',), None) mock_inner.assert_called_once_with('less', mock_tabulate.return_value)

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0.2

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null

0

1

0

null

0

6

57b77347325bc3c94b6e4040995e5191a602243f

234

py

Python

example-project/personal/social.py

OneSocial-dev/onesocial-django

28acfa277d9b3ba758f17fa4787360779369f8e6

[ "MIT" ]

1

2020-10-27T15:18:40.000Z

example-project/personal/social.py

OneSocial-dev/onesocial-django

28acfa277d9b3ba758f17fa4787360779369f8e6

[ "MIT" ]

null

example-project/personal/social.py

OneSocial-dev/onesocial-django

28acfa277d9b3ba758f17fa4787360779369f8e6

[ "MIT" ]

null

from django.shortcuts import redirect from onesocial_django.models import SocialAccount def validate_func(social_account: SocialAccount): return redirect('personal:confirm-username', account_token=social_account.account_token)

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null

0

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6

57be90c00e6722fb30c75e048d9773034a704d2c

717

py

Python

singer/metadata.py

chrisgoddard/singer-python

acbe4847087d5f9061440fd6cebf75c88d875c83

[ "Apache-2.0" ]

1

2021-05-17T14:06:45.000Z

singer/metadata.py

chrisgoddard/singer-python

acbe4847087d5f9061440fd6cebf75c88d875c83

[ "Apache-2.0" ]

null

singer/metadata.py

chrisgoddard/singer-python

acbe4847087d5f9061440fd6cebf75c88d875c83

[ "Apache-2.0" ]

1

2021-05-17T14:06:46.000Z

def new(): return {} def to_map(raw_metadata): return {tuple(md['breadcrumb']): md['metadata'] for md in raw_metadata} def to_list(compiled_metadata): return [{'breadcrumb': k, 'metadata': v} for k, v in compiled_metadata.items()] def delete(compiled_metadata, breadcrumb, k): del compiled_metadata[breadcrumb][k] def write(compiled_metadata, breadcrumb, k, val): if val is None: raise Exception() if breadcrumb in compiled_metadata: compiled_metadata.get(breadcrumb).update({k: val}) else: compiled_metadata[breadcrumb] = {k: val} return compiled_metadata def get(compiled_metadata, breadcrumb, k): return compiled_metadata.get(breadcrumb, {}).get(k)

29.875

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717

23

84

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null

1

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null

0

1

0

1

0

6

aa43f5dec9ad9f95a8ea7948cfa372cc7f642db1

16,319

py

Python

tests/parsing/xpath/tei_xpath_functions_test.py

elifesciences/sciencebeam-judge

357f1b4266674611b24371224468db268ed4574e

[ "MIT" ]

null

tests/parsing/xpath/tei_xpath_functions_test.py

elifesciences/sciencebeam-judge

357f1b4266674611b24371224468db268ed4574e

[ "MIT" ]

189

2018-01-11T17:14:18.000Z

2022-03-28T17:30:11.000Z

tests/parsing/xpath/tei_xpath_functions_test.py

elifesciences/sciencebeam-judge

357f1b4266674611b24371224468db268ed4574e

[ "MIT" ]

null

import logging from lxml.builder import E import pytest from sciencebeam_judge.parsing.xpath.tei_xpath_functions import register_functions LOGGER = logging.getLogger(__name__) @pytest.fixture(autouse=True) def _register_functions(): register_functions() def _tei_with_authors(*authors): return E.TEI(E.teiHeader(E.fileDesc(E.sourceDesc(E.biblStruct(E.analytic( *authors )))))) class TestTeiXpathFunctions: class TestAuthors: def test_should_return_single_author_node(self): author = E.author( E.persName( E.forename('Tom'), E.surname('Thomson') ) ) xml = _tei_with_authors(author) assert list(xml.xpath('tei-authors(.)')) == [author] class TestGivenName: def test_should_return_given_name_of_single_pers_name(self): author = E.author( E.persName( E.forename('Tom'), E.surname('Thomson') ) ) xml = _tei_with_authors(author) assert list( xml.xpath('tei-given-name(//persName)') ) == ['Tom'] def test_should_return_given_name_of_multiple_forenames(self): author = E.author( E.persName( E.forename('Tom', type='first'), E.forename('T', type='middle'), E.surname('Thomson') ) ) xml = _tei_with_authors(author) assert list( xml.xpath('tei-given-name(//persName)') ) == ['Tom T'] class TestFullName: def test_should_return_full_name_of_single_pers_name(self): author = E.author( E.persName( E.forename('Tom'), E.surname('Thomson') ) ) xml = _tei_with_authors(author) assert list( xml.xpath('tei-full-name(//persName)') ) == ['Tom Thomson'] def test_should_return_full_name_of_multiple_forenames(self): author = E.author( E.persName( E.forename('Tom', type='first'), E.forename('T', type='middle'), E.surname('Thomson') ) ) xml = _tei_with_authors(author) assert list( xml.xpath('tei-full-name(//persName)') ) == ['Tom T Thomson'] def test_should_return_full_name_of_single_author(self): author = E.author( E.persName( E.forename('Tom'), E.surname('Thomson') ) ) xml = _tei_with_authors(author) assert list( xml.xpath('tei-full-name(//author)') ) == ['Tom Thomson'] def test_should_not_add_space_if_surname_is_missing(self): author = E.author( E.persName( E.forename('Tom') ) ) xml = _tei_with_authors(author) assert list(xml.xpath('tei-full-name(//author)')) == ['Tom'] def test_should_not_add_space_if_surname_is_empty(self): author = E.author( E.persName( E.forename('Tom'), E.surname() ) ) xml = _tei_with_authors(author) assert list(xml.xpath('tei-full-name(//author)')) == ['Tom'] class TestAuthorAffiliations: def test_should_return_single_affiliation_without_key(self): affiliation = E.affiliation( E.orgName('Department 1', type="department") ) xml = _tei_with_authors(E.author(affiliation)) assert list(xml.xpath('tei-author-affiliations(.)')) == [affiliation] def test_should_return_single_affiliation_with_key(self): affiliation = E.affiliation(key='aff1') xml = _tei_with_authors(E.author(affiliation)) assert list(xml.xpath('tei-author-affiliations(.)')) == [affiliation] def test_should_return_deduplicate_affiliations_with_key(self): affiliation1 = E.affiliation(key='aff1') affiliation1_copy = E.affiliation(key='aff1') xml = _tei_with_authors(E.author(affiliation1), E.author(affiliation1_copy)) assert list(xml.xpath('tei-author-affiliations(.)')) == [affiliation1] class TestAffString: def test_should_return_org_name(self): xml = E.TEI( E.affiliation( E.orgName('Department 1', type="department") ) ) assert list( xml.xpath('tei-aff-string(//affiliation)') ) == ['Department 1'] def test_should_join_multiple_org_names(self): xml = E.TEI( E.affiliation( E.orgName('Department 1', type="department"), E.orgName('Institution 1', type="institution") ) ) assert list( xml.xpath('tei-aff-string(//affiliation)') ) == ['Department 1, Institution 1'] def test_should_join_institution_with_postcode_settlement_country(self): xml = E.TEI( E.affiliation( E.orgName('Department 1', type="department"), E.address( E.postCode('Post Code 1'), E.settlement('Settlement 1'), E.country('Country 1') ) ) ) assert ( list(xml.xpath('tei-aff-string(//affiliation)')) == ['Department 1, Post Code 1, Settlement 1, Country 1'] ) def test_should_use_raw_affiliation_note_without_label_if_available(self): xml = E.TEI( E.affiliation( E.note('raw affiliation 1', type='raw_affiliation'), E.orgName('Department 1', type="department"), E.address( E.postCode('Post Code 1'), E.settlement('Settlement 1'), E.country('Country 1') ) ) ) assert ( list(xml.xpath('tei-aff-string(//affiliation)')) == ['raw affiliation 1'] ) def test_should_use_raw_affiliation_note_with_label_if_available(self): xml = E.TEI( E.affiliation( E.note( E.label('a'), ' raw affiliation 1', type='raw_affiliation' ), E.orgName('Department 1', type="department"), E.address( E.postCode('Post Code 1'), E.settlement('Settlement 1'), E.country('Country 1') ) ) ) assert ( list(xml.xpath('tei-aff-string(//affiliation)')) == ['a raw affiliation 1'] ) def test_should_join_institution_with_addr_line(self): xml = E.TEI( E.affiliation( E.orgName('Department 1', type="department"), E.address( E.addrLine('Addr Line 1') ) ) ) assert list( xml.xpath('tei-aff-string(//affiliation)') ) == ['Department 1, Addr Line 1'] def test_should_sort_affiliations(self): xml = E.TEI( E.affiliation( E.orgName('Department 2', type="department"), key='aff2' ), E.affiliation( E.orgName('Department 1', type="department"), key='aff1' ) ) assert list( xml.xpath('tei-aff-string(//affiliation)') ) == ['Department 1', 'Department 2'] def test_should_sort_affiliations_natural_order(self): xml = E.TEI( E.affiliation( E.orgName('Department 2', type="department"), key='aff10' ), E.affiliation( E.orgName('Department 1', type="department"), key='aff9' ) ) assert list( xml.xpath('tei-aff-string(//affiliation)') ) == ['Department 1', 'Department 2'] class TestAffText: def test_should_return_emtpy_string_if_no_raw_affiliation_note_available(self): xml = E.TEI( E.affiliation( E.orgName('Department 1', type="department") ) ) assert ( list(xml.xpath('tei-aff-text(//affiliation)')) == [''] ) def test_should_use_raw_affiliation_note_without_label_if_available(self): xml = E.TEI( E.affiliation( E.note('raw affiliation 1', type='raw_affiliation'), E.orgName('Department 1', type="department") ) ) assert ( list(xml.xpath('tei-aff-text(//affiliation)')) == ['raw affiliation 1'] ) def test_should_use_raw_affiliation_note_with_label_if_available(self): xml = E.TEI( E.affiliation( E.note( E.label('a'), ' raw affiliation 1', type='raw_affiliation' ), E.orgName('Department 1', type="department") ) ) assert ( list(xml.xpath('tei-aff-text(//affiliation)')) == ['a raw affiliation 1'] ) def test_should_sort_affiliations(self): xml = E.TEI( E.affiliation( E.note('raw affiliation 2', type='raw_affiliation'), key='aff2' ), E.affiliation( E.note('raw affiliation 1', type='raw_affiliation'), key='aff1' ) ) assert list( xml.xpath('tei-aff-string(//affiliation)') ) == ['raw affiliation 1', 'raw affiliation 2'] def test_should_sort_affiliations_natural_order(self): xml = E.TEI( E.affiliation( E.note('raw affiliation 2', type='raw_affiliation'), key='aff10' ), E.affiliation( E.note('raw affiliation 1', type='raw_affiliation'), key='aff9' ) ) assert list( xml.xpath('tei-aff-string(//affiliation)') ) == ['raw affiliation 1', 'raw affiliation 2'] class TestAffByLabelText: def test_should_return_emtpy_list_if_no_raw_affiliation_note_available(self): xml = E.TEI( E.affiliation( E.orgName('Department 1', type="department") ) ) assert ( list(xml.xpath('tei-aff-by-label-text(//affiliation)')) == [] ) def test_should_use_raw_affiliation_note_without_label_if_available(self): xml = E.TEI( E.affiliation( E.note('raw affiliation 1', type='raw_affiliation'), E.orgName('Department 1', type="department") ) ) assert ( list(xml.xpath('tei-aff-by-label-text(//affiliation)')) == ['raw affiliation 1'] ) def test_should_use_raw_affiliation_note_with_label_if_available(self): xml = E.TEI( E.affiliation( E.note( E.label('a'), ' raw affiliation 1', type='raw_affiliation' ), E.orgName('Department 1', type="department") ) ) assert ( list(xml.xpath('tei-aff-by-label-text(//affiliation)')) == ['a raw affiliation 1'] ) def test_should_concatenate_raw_affiliation_notes_with_same_label(self): xml = E.TEI( E.affiliation( E.note(E.label('a'), ' part 1', type='raw_affiliation') ), E.affiliation( E.note(E.label('a'), ' part 2', type='raw_affiliation') ), E.affiliation( E.note(E.label('b'), ' other', type='raw_affiliation') ) ) assert ( list(xml.xpath('tei-aff-by-label-text(//affiliation)')) == ['a part 1 part 2', 'b other'] ) class TestRefFpage: def test_should_return_from_attribute_if_present(self): xml = E.TEI(E.biblStruct(E.monogr(E.imprint( E.biblScope({"unit": "page", "from": "123"}) )))) assert list(xml.xpath('tei-ref-fpage(//biblStruct)')) == ['123'] def test_should_return_element_text_if_from_attribute_is_not_present(self): xml = E.TEI(E.biblStruct(E.monogr(E.imprint( E.biblScope("123", unit="page") )))) assert list(xml.xpath('tei-ref-fpage(//biblStruct)')) == ['123'] def test_should_return_empty_string_if_from_attribute_is_not_present_and_has_no_text(self): xml = E.TEI(E.biblStruct(E.monogr(E.imprint( E.biblScope(unit="page") )))) assert list(xml.xpath('tei-ref-fpage(//biblStruct)')) == [''] def test_should_return_empty_string_if_there_is_no_page_element(self): xml = E.TEI(E.biblStruct(E.monogr(E.imprint( E.biblScope(unit="other") )))) assert list(xml.xpath('tei-ref-fpage(//biblStruct)')) == [''] class TestRefLpage: def test_should_return_to_attribute_if_present(self): xml = E.TEI(E.biblStruct(E.monogr(E.imprint( E.biblScope({"unit": "page", "to": "123"}) )))) assert list(xml.xpath('tei-ref-lpage(//biblStruct)')) == ['123'] def test_should_return_fpage_if_there_is_no_to_page(self): xml = E.TEI(E.biblStruct(E.monogr(E.imprint( E.biblScope("123", unit="page") )))) assert list(xml.xpath('tei-ref-lpage(//biblStruct)')) == ['123'] class TestAbstractText: def test_should_return_without_paragraph(self): xml = E.TEI(E.teiHeader(E.profileDesc(E.abstract( 'abstract1' )))) assert list(xml.xpath('tei-abstract-text(//abstract)')) == ['abstract1'] def test_should_return_with_div_and_paragraph(self): xml = E.TEI(E.teiHeader(E.profileDesc(E.abstract(E.div( E.p('abstract1') ))))) assert list(xml.xpath('tei-abstract-text(//abstract)')) == ['abstract1'] def test_should_ignore_first_head(self): xml = E.TEI(E.teiHeader(E.profileDesc(E.abstract(E.div( E.head('Abstract'), E.p('abstract1') ))))) assert list(xml.xpath('tei-abstract-text(//abstract)')) == ['abstract1'] def test_not_should_ignore_further_head_elements(self): xml = E.TEI(E.teiHeader(E.profileDesc(E.abstract( E.div(E.head('Abstract')), E.div(E.head('Sub:'), E.p('abstract1')) )))) assert list(xml.xpath('tei-abstract-text(//abstract)')) == ['Sub: abstract1']

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0.015038

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null

0

1

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null

0

6

1020059147180f2ae41c791b5696ab3c2fef1686

198

py

Python

server/views/api.py

appcypher/feature-request

c8c05cde18b0353e39c046405f168dcc9b90a11c

[ "Apache-2.0" ]

5

2019-06-06T08:41:36.000Z

2020-08-28T18:46:57.000Z

server/views/api.py

appcypher/feature-request

c8c05cde18b0353e39c046405f168dcc9b90a11c

[ "Apache-2.0" ]

1

2022-02-10T17:24:39.000Z

server/views/api.py

appcypher/feature-request

c8c05cde18b0353e39c046405f168dcc9b90a11c

[ "Apache-2.0" ]

2

2019-06-05T19:05:25.000Z

2020-08-27T14:04:28.000Z

""" Module that contains restplus api isntantiation. """ from flask_restplus import Api from config.blueprints import api_v1_blueprint # Creates a restplus api instance api = Api(api_v1_blueprint)

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0.180645

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null

0

1

0

1

0

6

105e91c445afa21c30c6daf930eb09ffc5196c1d

35

py

Python

tests/mods/nest/basic.py

Akm0d/pop

77d9f6e6de8e02aa2ee5520d0aa0052fabd53243

[ "Apache-2.0" ]

48

2019-05-21T16:10:49.000Z

2021-12-04T18:02:20.000Z

tests/mods/nest/basic.py

Akm0d/pop

77d9f6e6de8e02aa2ee5520d0aa0052fabd53243

[ "Apache-2.0" ]

43

2019-05-21T22:39:44.000Z

2020-02-07T16:37:29.000Z

tests/mods/nest/basic.py

Akm0d/pop

77d9f6e6de8e02aa2ee5520d0aa0052fabd53243

[ "Apache-2.0" ]

18

2019-05-21T16:10:42.000Z

2019-12-13T16:28:36.000Z

def ret_true(hub): return True

11.666667

18

0.685714

6

35

3.833333

0.833333

0

0.228571

35

2

19

17.5

0.851852

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null

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null

0

1

0

1

0

6

107fea0e86169a409d0d264e61f4cf0f7fe389a7

25

py

Python

python/hayate/store/__init__.py

tao12345666333/Talk-Is-Cheap

7b2c5959828b6d8bbbad8144b9b97f9b77c6b34c

[ "MIT" ]

4

2016-04-14T02:11:35.000Z

2019-05-30T10:18:41.000Z

python/hayate/store/__init__.py

tao12345666333/Talk-Is-Cheap

7b2c5959828b6d8bbbad8144b9b97f9b77c6b34c

[ "MIT" ]

8

2016-07-21T16:02:17.000Z

2021-09-23T02:49:34.000Z

python/hayate/store/__init__.py

tao12345666333/Talk-Is-Cheap

7b2c5959828b6d8bbbad8144b9b97f9b77c6b34c

[ "MIT" ]

2

2017-02-17T05:02:02.000Z

2017-11-08T12:22:09.000Z

from modules import user

12.5

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10a48cb9dbfa4002c6269c392e374d0c2564e82b

40

py

Python

jinahub/segmenters/PDFSegmenter/__init__.py

vivek2301/executors

8159681d68408ab8f797497bc3374be77e6ca392

[ "Apache-2.0" ]

null

jinahub/segmenters/PDFSegmenter/__init__.py

vivek2301/executors

8159681d68408ab8f797497bc3374be77e6ca392

[ "Apache-2.0" ]

null

jinahub/segmenters/PDFSegmenter/__init__.py

vivek2301/executors

8159681d68408ab8f797497bc3374be77e6ca392

[ "Apache-2.0" ]

null

from .pdf_segmenter import PDFSegmenter

20

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6

52d0d5cc35583e60b17c69d1017475bb9655e156

19,034

py

Python

test/test_embpattern.py

EmbroiderPy/pyembroidery

3d0db61e7a08bba8e51f4e5873ebfa678c12960b

[ "MIT" ]

null

test/test_embpattern.py

EmbroiderPy/pyembroidery

3d0db61e7a08bba8e51f4e5873ebfa678c12960b

[ "MIT" ]

null

test/test_embpattern.py

EmbroiderPy/pyembroidery

3d0db61e7a08bba8e51f4e5873ebfa678c12960b

[ "MIT" ]

null

from __future__ import print_function import unittest from test.pattern_for_tests import * class TestEmbpattern(unittest.TestCase): def position_equals(self, stitches, j, k): self.assertEqual(stitches[j][:1], stitches[k][:1]) def test_thread_reorder(self): test_file = "reorder.pes" shift = get_shift_pattern() shift.add_command(encode_thread_change(SET_CHANGE_SEQUENCE, thread=1, order=0)) shift.add_command(encode_thread_change(SET_CHANGE_SEQUENCE, 0, None, 1)) shift.add_command(encode_thread_change(SET_CHANGE_SEQUENCE, 1, None, 0)) self.assertEqual(0xFFFFFF & shift.threadlist[0].color, 0xFF0000) self.assertEqual(0xFFFFFF & shift.threadlist[1].color, 0x0000FF) write_pes(shift, test_file, {"pes version": 6}) read_pattern = read_pes(test_file) for thread in read_pattern.threadlist: print(0xFFFFFF & thread.color) self.assertEqual((0xFFFFFF & read_pattern.threadlist[0].color), 0x0000FF) self.assertEqual((0xFFFFFF & read_pattern.threadlist[1].color), 0xFF0000) self.addCleanup(os.remove, test_file) def test_needle_count_limited_set(self): needle_file = "needle-ls.u01" shift = get_shift_pattern() shift.add_command(encode_thread_change(SET_CHANGE_SEQUENCE, None, 6, 0)) shift.add_command(encode_thread_change(SET_CHANGE_SEQUENCE, 4, 6, 7)) shift.add_command(encode_thread_change(SET_CHANGE_SEQUENCE, None, 3, 0)) write_u01(shift, needle_file, {"needle_count": 7}) needle_pattern = read_u01(needle_file) self.assertEqual(needle_pattern.count_stitch_commands(NEEDLE_SET), 16) first = True for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) print(cmd) if first: # self.assertEqual(cmd[2], 3) first = False self.assertLessEqual(cmd[2], 7) self.addCleanup(os.remove, needle_file) def test_needle_count_limit1(self): needle_file = "needle-1.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 1}) needle_pattern = read_u01(needle_file) self.assertEqual(needle_pattern.count_stitch_commands(STOP), 16) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLess(cmd[2], 1) self.addCleanup(os.remove, needle_file) def test_needle_count_limit2(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 2}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 2) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit3(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 3}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 3) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit4(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 4}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 4) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit5(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 5}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 5) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit6(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 6}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 6) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit7(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 7}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 7) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit8(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 8}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 8) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit9(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 9}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 9) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_needle_count_limit10(self): needle_file = "needle.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 10}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 10) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.addCleanup(os.remove, needle_file) def test_u01_tie_on(self): needle_file = "tie_on.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 10, "tie_on": CONTINGENCY_TIE_ON_THREE_SMALL}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 10) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.assertEqual(needle_pattern.count_stitch_commands(STITCH), 16 * (5 + 4)) # 5 for the actual stitch pattern. 3 small, and 1 extra tieon, start. self.addCleanup(os.remove, needle_file) def test_u01_tie_off(self): needle_file = "tie_on.u01" write_u01(get_shift_pattern(), needle_file, {"needle_count": 10, "tie_off": CONTINGENCY_TIE_OFF_THREE_SMALL}) needle_pattern = read_u01(needle_file) for stitch in needle_pattern.get_match_commands(NEEDLE_SET): cmd = decode_embroidery_command(stitch[2]) self.assertLessEqual(cmd[2], 10) self.assertEqual(needle_pattern.count_needle_sets(), 16) self.assertEqual(needle_pattern.count_stitch_commands(STITCH), 16 * (5 + 4)) # 5 for the actual stitch pattern. 3 small, and 1 extra tieoff, end. self.addCleanup(os.remove, needle_file) def test_write_dst_read_dst_long_jump(self): file1 = "file3.dst" pattern = EmbPattern() pattern.add_block([(0, 0), (0, 200)], "red") write_dst(pattern, file1) dst_pattern = read_dst(file1) self.assertIsNotNone(dst_pattern) self.assertEqual(dst_pattern.count_stitch_commands(STITCH), 2) self.assertEqual(dst_pattern.stitches[1][1], 100) print("dst: ", dst_pattern.stitches) self.addCleanup(os.remove, file1) def test_write_dst_read_dst_random_stitch(self): file1 = "fsmall.dst" for i in range(0, 12): max = (i * 10) + 1 write_dst(get_random_pattern_small_halfs(), file1, {"long_stitch_contingency": CONTINGENCY_LONG_STITCH_SEW_TO, "max_stitch": max}) dst_pattern = read_dst(file1) xx = 0 yy = 0 command = NO_COMMAND for stitch in dst_pattern.stitches: dx = stitch[0] - xx dy = stitch[1] - yy xx += dx yy += dy last_command = command command = stitch[2] & COMMAND_MASK if command == STITCH and last_command == STITCH: self.assertLessEqual(dx, max) self.assertLessEqual(dy, max) self.assertIsNotNone(dst_pattern) self.addCleanup(os.remove, file1) def test_write_dst_read_dst_long_jump_random_small(self): file1 = "file3small.dst" for i in range(0, 1000): write_dst(get_random_pattern_small_halfs(), file1, {"long_stitch_contingency": CONTINGENCY_LONG_STITCH_SEW_TO}) dst_pattern = read_dst(file1) self.assertIsNotNone(dst_pattern) self.addCleanup(os.remove, file1) def test_write_dst_read_dst_long_jump_random_large(self): file1 = "file3large.dst" for i in range(0, 5): write_dst(get_random_pattern_large(), file1, {"long_stitch_contingency": CONTINGENCY_LONG_STITCH_SEW_TO}) dst_pattern = read_dst(file1) self.assertIsNotNone(dst_pattern) self.addCleanup(os.remove, file1) def test_write_dst_read_dst_divide(self): file1 = "file3.dst" pattern = EmbPattern() pattern.add_block([(0, 0), (0, 2)], "red") write_dst(pattern, file1, {"scale": 100, "long_stitch_contingency": CONTINGENCY_LONG_STITCH_SEW_TO}) dst_pattern = read_dst(file1) self.assertIsNotNone(dst_pattern) self.assertEqual(dst_pattern.count_stitch_commands(STITCH), 3) self.assertEqual(dst_pattern.stitches[1][1], 100) print("dst: ", dst_pattern.stitches) self.addCleanup(os.remove, file1) def test_write_csv_read_csv_raw(self): file1 = "file.csv" write_csv(get_simple_pattern(), file1) csv_pattern = read_csv(file1) self.assertIsNotNone(csv_pattern) self.assertEqual(csv_pattern.count_stitch_commands(COLOR_BREAK), 3) self.assertEqual(csv_pattern.count_stitch_commands(STITCH), 15) self.position_equals(csv_pattern.stitches, 0, -1) print("csv: ", csv_pattern.stitches) self.addCleanup(os.remove, file1) def test_write_csv_read_csv_needle(self): file1 = "file2.csv" write_csv(get_simple_pattern(), "file2.csv", {"thread_change_command": NEEDLE_SET, "encode": True}) csv_pattern = read_csv(file1) self.assertIsNotNone(csv_pattern) self.assertEqual(csv_pattern.count_stitch_commands(NEEDLE_SET), 3) self.assertEqual(csv_pattern.count_stitch_commands(STITCH), 15) print("csv: ", csv_pattern.stitches) self.addCleanup(os.remove, file1) def test_write_csv_read_csv_color(self): file1 = "file3.csv" write_csv(get_simple_pattern(), "file3.csv", {"thread_change_command": COLOR_CHANGE, "encode": True}) csv_pattern = read_csv(file1) self.assertEqual(csv_pattern.count_stitch_commands(COLOR_CHANGE), 2) self.assertEqual(csv_pattern.count_stitch_commands(STITCH), 15) self.position_equals(csv_pattern.stitches, 0, -1) print("csv: ", csv_pattern.stitches) self.addCleanup(os.remove, file1) def test_write_csv_read_csv_encoded_command(self): file1 = "file-encoded.csv" pattern = EmbPattern() encoded_command = encode_thread_change(SET_CHANGE_SEQUENCE, 3, 4, 1) pattern.add_command(encoded_command) write_csv(pattern, file1) csv_pattern = read_csv(file1) self.assertIsNotNone(csv_pattern) print("csv-encoded: ", csv_pattern.stitches) self.assertEqual(encoded_command, csv_pattern.stitches[-1][2]) self.addCleanup(os.remove, file1) def test_issue_87(self): """ Initial test raised by issue 87. """ pattern = EmbPattern() stitches_1 = [[0, 1], [2, 3]] stitches_2 = [[4, 5], [6, 7]] pattern.add_block(stitches_1, 0xFF0000) pattern.add_block(stitches_2, 0x0000FF) blocks = list(pattern.get_as_colorblocks()) for q in blocks: print(q) self.assertEqual(len(blocks), 2) self.assertEqual(len(blocks[0][0]), 2) # 0,1 and 2,3 self.assertEqual(len(blocks[1][0]), 2) # 4,5 and 6,7 def test_issue_87_2(self): """ Tests a pattern arbitrarily starting with a color change. With two predefined blocks. The blocks should maintain their blockness. The color change should isolate 0 stitches, of an unknown color. :return: """ pattern = EmbPattern() stitches_1 = [[0, 1], [2, 3]] stitches_2 = [[4, 5], [6, 7]] pattern.color_change() pattern.add_thread('random') pattern.add_block(stitches_1, 0xFF0000) pattern.add_block(stitches_2, 0x0000FF) blocks = list(pattern.get_as_colorblocks()) # for q in blocks: # print(q) self.assertEqual(blocks[1][1].color, 0xFF0000) self.assertEqual(blocks[2][1].color, 0x0000FF) self.assertEqual(len(blocks), 3) self.assertEqual(len(blocks[0][0]), 1) self.assertEqual(len(blocks[1][0]), 2) self.assertEqual(len(blocks[2][0]), 2) for block in blocks: stitch_block = block[0] for stitch in stitch_block: self.assertNotEqual(stitch[2], COLOR_BREAK) pattern = EmbPattern() pattern.add_thread('random') pattern.color_change() # end block 1, empty pattern.add_thread(0xFF0000) pattern += stitches_1 pattern.color_change() # end block 2 pattern.add_thread(0x0000FF) pattern += stitches_2 blocks = list(pattern.get_as_colorblocks()) # end block 3, no explicit end. # for q in blocks: # print(q) self.assertEqual(blocks[0][0][-1][2], COLOR_CHANGE) # Color change ends the block. self.assertEqual(blocks[1][0][-1][2], COLOR_CHANGE) # Color change ends the block. self.assertEqual(blocks[1][1].color, 0xFF0000) self.assertEqual(blocks[2][1].color, 0x0000FF) self.assertEqual(len(blocks), 3) self.assertEqual(len(blocks[0][0]), 1) self.assertEqual(len(blocks[1][0]), 3) self.assertEqual(len(blocks[2][0]), 2) # Final color change is part of no block. pattern.color_change() # end block 3 blocks = list(pattern.get_as_colorblocks()) self.assertEqual(len(blocks[2][0]), 3) # Final block with colorchange. def test_issue_87_3(self): """ Tests a pattern arbitrarily starting with a needle_set. With two predefined blocks. The blocks should maintain their blockness. The needle set should not contribute a block. Initial needle_set, only define a starting needle. :return: """ pattern = EmbPattern() pattern.needle_change() stitches_1 = [[0, 1], [2, 3]] stitches_2 = [[4, 5], [6, 7]] pattern.add_block(stitches_1, 0xFF0000) pattern.add_block(stitches_2, 0x0000FF) blocks = list(pattern.get_as_colorblocks()) # for q in blocks: # print(q) self.assertEqual(blocks[0][1], 0xFF0000) self.assertEqual(blocks[1][1], 0x0000FF) self.assertEqual(len(blocks), 2) for block in blocks: stitch_block = block[0] for stitch in stitch_block: self.assertNotEqual(stitch[2], COLOR_BREAK) pattern = EmbPattern() pattern.needle_change() # start block 0 pattern += stitches_1 pattern.add_thread(EmbThread(0xFF0000)) pattern.needle_change() # start block 1 pattern += stitches_1 pattern.add_thread(EmbThread(0x0000FF)) pattern.needle_change() # start block 2 pattern.add_thread(EmbThread('random')) blocks = list(pattern.get_as_colorblocks()) for q in blocks: print(q) # Mask is required here since needle_set automatically appends extended data. self.assertEqual(blocks[0][0][0][2] & COMMAND_MASK, NEEDLE_SET) # Needle_set starts the block. self.assertEqual(blocks[1][0][0][2] & COMMAND_MASK, NEEDLE_SET) # Needle_set starts the block. self.assertEqual(blocks[0][1], 0xFF0000) self.assertEqual(blocks[1][1], 0x0000FF) self.assertEqual(len(blocks), 3) self.assertEqual(len(blocks[0][0]), 3) self.assertEqual(len(blocks[1][0]), 3) self.assertEqual(len(blocks[2][0]), 1) def test_issue_87_4(self): """ Tests a pattern arbitrarily starting with a color break. With two predefined blocks. The blocks should maintain their blockness. And ending with another arbitrary color break. This should give exactly 2 blocks which were defined as prepended colorbreaks postpended color breaks are not to have an impact. :return: """ pattern = EmbPattern() pattern += COLOR_BREAK stitches_1 = [[0, 1], [2, 3]] stitches_2 = [[4, 5], [6, 7]] pattern.add_block(stitches_1, 0xFF0000) pattern.add_block(stitches_2, 0x0000FF) pattern += COLOR_BREAK blocks = list(pattern.get_as_colorblocks()) for q in blocks: print(q) for block in blocks: stitch_block = block[0] for stitch in stitch_block: self.assertNotEqual(stitch[2], COLOR_BREAK) self.assertEqual(blocks[0][1], 0xFF0000) self.assertEqual(blocks[1][1], 0x0000FF) self.assertEqual(len(blocks), 2) self.assertEqual(len(blocks[0][0]), 2) self.assertEqual(len(blocks[1][0]), 2)

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117

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2,422

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4.838976

0.084641

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0.032765

0.043174

0.821075

0.780375

0.751195

0.730461

0.713481

0.701365

0

0.043382

0.2443

19,034

432

118

44.060185

0.771413

0.075602

0

0.620397

0

0.038258

0.007709

0

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0.25779

1

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false

0

0.008499

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0.090652

0.033994

0

null

0

1

0

null

0

6

eae62de182c862dffd5b4f94a54228b065d014cc

33

py

Python

citrine_converters/mark10/__init__.py

rbuxman/new-refactor

c2254fa637fbe54a54e445a0a872d2d0bbe4165a

[ "BSD-2-Clause" ]

null

citrine_converters/mark10/__init__.py

rbuxman/new-refactor

c2254fa637fbe54a54e445a0a872d2d0bbe4165a

[ "BSD-2-Clause" ]

2

2017-10-04T19:38:48.000Z

2017-10-04T19:45:07.000Z

citrine_converters/mark10/__init__.py

rbuxman/new-refactor

c2254fa637fbe54a54e445a0a872d2d0bbe4165a

[ "BSD-2-Clause" ]

2

2017-09-25T22:49:09.000Z

2018-07-03T16:35:05.000Z

from .converter import converter

16.5

32

0.848485

4

33

7

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0

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33

1

33

0.965517

0

1

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true

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null

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null

0

1

0

1

0

1

0

6

eaffa33d98086a03a84abc510c6db50094e5ab57

10,892

py

Python

qcdb/tests/test_cbs_xtpl_gradient.py

loriab/qccddb

d9e156ef8b313ac0633211fc6b841f84a3ddde24

[ "BSD-3-Clause" ]

8

2019-03-28T11:54:59.000Z

2022-03-19T03:31:37.000Z

qcdb/tests/test_cbs_xtpl_gradient.py

loriab/qccddb

d9e156ef8b313ac0633211fc6b841f84a3ddde24

[ "BSD-3-Clause" ]

39

2018-10-31T23:02:18.000Z

2021-12-12T22:11:37.000Z

qcdb/tests/test_cbs_xtpl_gradient.py

loriab/qccddb

d9e156ef8b313ac0633211fc6b841f84a3ddde24

[ "BSD-3-Clause" ]

9

2018-03-12T20:51:50.000Z

2022-02-28T15:18:34.000Z

import os import numpy as np import pytest import qcdb from .utils import * #! Various gradients for a strained helium dimer and water molecule ref_scf_dz = np.array([[0.0, 0.0, 0.01233095], [0.0, 0.0, -0.01233095]]) ref_scf_tz = np.array([[0.0, 0.0, 0.01246097], [0.0, 0.0, -0.01246097]]) ref_scf_dtz = np.array([[0.0, 0.0, 0.01249265], [0.0, 0.0, -0.01249265]]) ref_scf_dtqz = np.array([[0.0, 0.0, 0.01244412], [0.0, 0.0, -0.01244412]]) ref_mp2_dtz = np.array([[0.0, 0.0, 0.01155124], [0.0, 0.0, -0.01155124]]) ref2_scf_dz = np.array( [[0.0, 0.0, -0.095119035], [0.0151029614, 0.0, 0.0475595175], [-0.0151029614, 0.0, 0.0475595175]] ) # y-axis, exchanged permuted_indices_col = [0, 2, 1] permuted_indices_row = [1, 0] ref_scf_dz_y = ref_scf_dz[:, permuted_indices_col][permuted_indices_row, :] ref_mp2_dtz_y = ref_mp2_dtz[:, permuted_indices_col][permuted_indices_row, :] # y-axis, exchanged, fixed # ref_scf_dz_yf = np.array( # [[ 0.0, 0.02466190, 0.0], # [ 0.0, 0.0, 0.0]]) nucenergy_ref = 1.17594935242 * a2a nucenergy_ref2 = 8.84102016483414 def system1(): he_dimer = qcdb.set_molecule( """ He 0 0 0 He 0 0 1.8 """ ) # Get a reasonable guess, to save some iterations qcdb.set_options( { "scf_type": "conv", # longstanding "pk" "mp2_type": "conv", "reference": "rhf", } ) he_dimer.update_geometry() assert compare_values(nucenergy_ref, he_dimer.nuclear_repulsion_energy(), 9, "Nuclear repulsion energy") def system2(): he_dimer = qcdb.set_molecule( """ He 0 1.8 0 He 0 0 0 no_reorient no_com """ ) # Get a reasonable guess, to save some iterations qcdb.set_options( { "scf_type": "conv", # longstanding "pk", "mp2_type": "conv", "reference": "rhf", } ) he_dimer.update_geometry() assert compare_values(nucenergy_ref, he_dimer.nuclear_repulsion_energy(), 9, "Nuclear repulsion energy") def system3(): h2o_mol = qcdb.set_molecule( """ O 0.0 0.0 0.0 H 1.0 0.0 0.0 H 0.0 1.0 0.0 """ ) # Get a reasonable guess, to save some iterations qcdb.set_options( { "scf_type": "conv", # longstanding "pk" "mp2_type": "conv", "reference": "rhf", } ) h2o_mol.update_geometry() assert compare_values(nucenergy_ref2, h2o_mol.nuclear_repulsion_energy(), 9, "Nuclear repulsion energy") # SCF TESTS @using("psi4") def test_1a(): system1() scf_dz, jrec = qcdb.gradient("SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref_scf_dz, scf_dz, 6, "[1a] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1a] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz, qcdb.variable("CURRENT GRADIENT"), 6, "[1a] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1a] SCF/cc-pVDZ Gradient") assert "Psi4" == jrec["provenance"]["creator"], "[1a] prov" @using("cfour") def test_1b(): system1() scf_dz, jrec = qcdb.gradient("c4-SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref_scf_dz, scf_dz, 6, "[1b] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1b] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz, qcdb.variable("CURRENT GRADIENT"), 6, "[1b] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1b] SCF/cc-pVDZ Gradient") assert "CFOUR" == jrec["provenance"]["creator"], "[1b] prov" @using("gamess") def test_1c(): system1() scf_dz, jrec = qcdb.gradient("gms-SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref_scf_dz, scf_dz, 6, "[1c] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1c] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz, qcdb.variable("CURRENT GRADIENT"), 6, "[1c] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1c] SCF/cc-pVDZ Gradient") assert "GAMESS" == jrec["provenance"]["creator"], "[1c] prov" # GAMESS and/or QCDB?? @using("psi4") def test_1d(): system2() scf_dz, jrec = qcdb.gradient("SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref_scf_dz_y, scf_dz, 6, "[1d] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz_y, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1d] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz_y, qcdb.variable("CURRENT GRADIENT"), 6, "[1d] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz_y, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1d] SCF/cc-pVDZ Gradient") # TODO provenance kill list assert "Psi4" == jrec["provenance"]["creator"], "[1d] prov" @using("cfour") def test_1e(): system2() scf_dz, jrec = qcdb.gradient("c4-SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref_scf_dz_y, scf_dz, 6, "[1e] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz_y, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1e] SCF/cc-pVDZ Gradient") assert compare_arrays(ref_scf_dz_y, qcdb.variable("CURRENT GRADIENT"), 6, "[1e] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz_y, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1e] SCF/cc-pVDZ Gradient") assert "CFOUR" == jrec["provenance"]["creator"], "[1e] prov" # this fails bc of the fixed orientation/com, not compatible with GAMESS's symmetry unique atoms # @using("gamess") # def test_1f(): # system2() # # scf_dz, jrec = qcdb.gradient('gms-SCF/cc-pVDZ', return_wfn=True) # pp.pprint(jrec) # assert compare_arrays(ref_scf_dz_y, scf_dz, 6, "[1f] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz_y, jrec['qcvars']['CURRENT GRADIENT'].data, 6, "[1f] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz_y, qcdb.variable('CURRENT GRADIENT'), 6, "[1f] SCF/cc-pVDZ Gradient") # #assert compare_arrays(ref_scf_dz_y, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1f] SCF/cc-pVDZ Gradient") # assert 'GAMESS' == jrec['provenance']['creator'], "[1f] prov" @using("psi4") def test_1g(): system3() scf_dz, jrec = qcdb.gradient("SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref2_scf_dz, scf_dz, 6, "[1g] SCF/cc-pVDZ Gradient") assert compare_arrays(ref2_scf_dz, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1g] SCF/cc-pVDZ Gradient") assert compare_arrays(ref2_scf_dz, qcdb.variable("CURRENT GRADIENT"), 6, "[1g] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1g] SCF/cc-pVDZ Gradient") # assert ['QCDB', 'Psi4'] == [d['creator'] for d in jrec['provenance']], "[1g] prov" assert "Psi4" == jrec["provenance"]["creator"], "[1g] prov" @using("cfour") def test_1h(): system3() scf_dz, jrec = qcdb.gradient("c4-SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref2_scf_dz, scf_dz, 6, "[1h] SCF/cc-pVDZ Gradient") assert compare_arrays(ref2_scf_dz, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1h] SCF/cc-pVDZ Gradient") assert compare_arrays(ref2_scf_dz, qcdb.variable("CURRENT GRADIENT"), 6, "[1h] SCF/cc-pVDZ Gradient") # assert compare_arrays(ref_scf_dz, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1h] SCF/cc-pVDZ Gradient") assert "CFOUR" == jrec["provenance"]["creator"], "[1h] prov" @using("gamess") def test_1i(): system3() scf_dz, jrec = qcdb.gradient("gms-SCF/cc-pVDZ", return_wfn=True) assert compare_arrays(ref2_scf_dz, scf_dz, 6, "[1i] SCF/cc-pVDZ Gradient") assert compare_arrays(ref2_scf_dz, jrec["qcvars"]["CURRENT GRADIENT"].data, 6, "[1i] SCF/cc-pVDZ Gradient") assert compare_arrays(ref2_scf_dz, qcdb.variable("CURRENT GRADIENT"), 6, "[1i] SCF/cc-pVDZ Gradient") ##assert compare_arrays(ref_scf_dz, jrec['qcvars']['HF/CC-PVDZ TOTAL GRADIENT'].data, 6, "[1i] SCF/cc-pVDZ Gradient") assert "GAMESS" == jrec["provenance"]["creator"], "[1i] prov" # def hide_test_2(): # system1() # # scf_tz = qcdb.gradient('SCF/cc-pVTZ', dertype=0) # assert compare_arrays(ref_scf_tz, scf_tz, 6, "[2] SCF/cc-pVTZ Gradient, dertype=0") # # # def hide_test_3(): # system1() # # scf_dtz = qcdb.gradient('SCF/cc-pV[23]Z', dertype=0) # assert compare_arrays(ref_scf_dtz, scf_dtz, 6, "[3] SCF/cc-pV[DT]Z Gradient, dertype=0") @pytest.mark.xfail(True, reason="Old Driver, Spring 2019", run=True) @using("psi4") def test_4a(): system1() scf_dtz, jrec = qcdb.gradient("HF/cc-pV[23]Z", return_wfn=True) assert compare_arrays(ref_scf_dtz, scf_dtz, 6, "[4] SCF/cc-pV[DT]Z Gradient, dertype=1") pp.pprint(jrec) @pytest.mark.xfail(True, reason="Old Driver, Spring 2019", run=True) @using("cfour") def test_4b(): system1() scf_dtz, jrec = qcdb.gradient("c4-HF/cc-pV[23]Z", return_wfn=True) assert compare_arrays(ref_scf_dtz, scf_dtz, 6, "[4] SCF/cc-pV[DT]Z Gradient, dertype=1") pp.pprint(jrec) @using("psi4") def test_5a(): system1() scf_dtqz = qcdb.gradient("HF/cc-pV[DTQ]Z") assert compare_arrays(ref_scf_dtqz, scf_dtqz, 6, "[5] SCF/cc-pV[DTQ]Z Gradient") @using("cfour") def test_5b(): system1() scf_dtqz = qcdb.gradient("c4-HF/cc-pV[DTQ]Z") assert compare_arrays(ref_scf_dtqz, scf_dtqz, 6, "[5] SCF/cc-pV[DTQ]Z Gradient") @using("gamess") def test_5c(): system1() scf_dtqz = qcdb.gradient("gms-HF/cc-pV[DTQ]Z") assert compare_arrays(ref_scf_dtqz, scf_dtqz, 6, "[5] SCF/cc-pV[DTQ]Z Gradient") @using("psi4") def test_6a(): system1() mp2_dtz = qcdb.gradient("MP2/cc-pV[DT]Z") assert compare_arrays(ref_mp2_dtz, mp2_dtz, 6, "[6] MP2/cc-pV[DT]Z Gradient") @using("cfour") def test_6b(): system1() mp2_dtz = qcdb.gradient("c4-MP2/cc-pV[DT]Z") assert compare_arrays(ref_mp2_dtz, mp2_dtz, 6, "[6] MP2/cc-pV[DT]Z Gradient") @using("gamess") def test_6c(): system1() mp2_dtz = qcdb.gradient("gms-MP2/cc-pV[DT]Z") assert compare_arrays(ref_mp2_dtz, mp2_dtz, 6, "[6] MP2/cc-pV[DT]Z Gradient") @using("psi4") def test_6c(): system2() mp2_dtz = qcdb.gradient("MP2/cc-pV[DT]Z") assert compare_arrays(ref_mp2_dtz_y, mp2_dtz, 6, "[6] MP2/cc-pV[DT]Z Gradient") @using("cfour") def test_6d(): system2() mp2_dtz = qcdb.gradient("c4-MP2/cc-pV[DT]Z") assert compare_arrays(ref_mp2_dtz_y, mp2_dtz, 6, "[6] MP2/cc-pV[DT]Z Gradient") # def hide_test_7(): # system1() # # mp2_dtz = qcdb.gradient('MP2/cc-pV[DT]Z', dertype='energy') # assert compare_arrays(ref_mp2_dtz, mp2_dtz, 6, "[7] MP2/cc-pV[DT]Z Gradient, dertype=0")

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0.654517

1,717

10,892

3.966803

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0.129203

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0.710762

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0.011561

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null

0

1

0

null

0

6

d80b04cd062660df91da7fef59268fa1e8f127a7

2,018

py

Python

tests/test_training.py

guillaume-chevalier/SGNN-Transformer-Sentence-Model-SimilarityBXENT

4176ee7aad926463f240ae4b47b1bf4c547e6187

[ "BSD-3-Clause" ]

3

2019-02-04T01:10:20.000Z

2019-04-16T12:19:11.000Z

tests/test_training.py

guillaume-chevalier/SGNN-Transformer-Sentence-Model-SimilarityBXENT

4176ee7aad926463f240ae4b47b1bf4c547e6187

[ "BSD-3-Clause" ]

null

tests/test_training.py

guillaume-chevalier/SGNN-Transformer-Sentence-Model-SimilarityBXENT

4176ee7aad926463f240ae4b47b1bf4c547e6187

[ "BSD-3-Clause" ]

null

import traceback import pytest from src.model.save_load_model import delete_model, MY_MODEL_NAME from src.training import train_model_on_data def test_can_train_one_epoch_of_one_step(): batch_size = 10 train_iters_per_epoch = 1 max_epoch = 1 cuda_device_id = None # None for CPU, 0 for first GPU, etc. model_suffix = ".__unit_test_delete_this_file__.0" epoch_model_name = MY_MODEL_NAME + ".epoch_{}" + model_suffix success = False try: preproc_sgnn_sklearn_pipeline, model_trainer = train_model_on_data( max_epoch, train_iters_per_epoch, batch_size, preproc_sgnn_sklearn_pipeline=None, model_trainer=None, cuda_device_id=cuda_device_id, plot=False, epoch_model_name=epoch_model_name ) success = True except: traceback.print_exc() finally: epoch_model_name = epoch_model_name.format("{}", "*") print(epoch_model_name) delete_model(epoch_model_name) assert success def test_can_train_one_epoch_of_one_step_on_GPU(): batch_size = 10 train_iters_per_epoch = 1 max_epoch = 1 cuda_device_id = 0 # None for CPU, 0 for first GPU, etc. model_suffix = ".__unit_test_delete_this_file__.1" epoch_model_name = MY_MODEL_NAME + ".epoch_{}" + model_suffix success = False try: preproc_sgnn_sklearn_pipeline, model_trainer = train_model_on_data( max_epoch, train_iters_per_epoch, batch_size, preproc_sgnn_sklearn_pipeline=None, model_trainer=None, cuda_device_id=cuda_device_id, plot=False, epoch_model_name=epoch_model_name ) success = True finally: epoch_model_name = epoch_model_name.format("{}", "*") print(epoch_model_name) delete_model(epoch_model_name) # If this fails, the files were probably not already created. assert success if __name__ == '__main__': pytest.main([__file__])

32.031746

101

0.681368

272

2,018

4.514706

0.253676

0.124593

0.159609

0.092834

0.796417

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0

0.008575

0.248761

2,018

62

102

32.548387

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0.703704

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0.052045

0.03505

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0.037037

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0.111111

0.055556

0

null

0

1

0

1

0

null

0

6

dc5410f85527801650f23a1a9a88a5e498fdb1b3

97

py

Python

dw/generate/__init__.py

GongJunior/dw-Web

0a4309ce11e3404e8ae668b00e4ab522cc2b29ae

[ "MIT" ]

null

dw/generate/__init__.py

GongJunior/dw-Web

0a4309ce11e3404e8ae668b00e4ab522cc2b29ae

[ "MIT" ]

null

dw/generate/__init__.py

GongJunior/dw-Web

0a4309ce11e3404e8ae668b00e4ab522cc2b29ae

[ "MIT" ]

null

from flask import Blueprint bp = Blueprint('generate', __name__) from dw.generate import routes

19.4

36

0.793814

13

97

5.615385

0.692308

0

0.134021

97

5

37

19.4

0.869048

0

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0.081633

0

1

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false

0

0.666667

0

0.666667

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0

null

0

1

0

1

0

null

0

1

0

1

0

6

dc84046efbf9fb44cc39d6749e9a8c17e2299902

58

py

Python

division of string.py

ashwin8797/python-learning

e260dd8380315939dd7bd2a6b2c0a44b59f709c0

[ "MIT" ]

null

division of string.py

ashwin8797/python-learning

e260dd8380315939dd7bd2a6b2c0a44b59f709c0

[ "MIT" ]

null

division of string.py

ashwin8797/python-learning

e260dd8380315939dd7bd2a6b2c0a44b59f709c0

[ "MIT" ]

null

a='cdef' b='ab' print('a'/'b') a=8 b='ab' print('a'/'b')

7.25

14

0.465517

14

58

1.928571

0.428571

0.222222

0.592593

0.666667

0.740741

0

0.019608

0.12069

58

7

15

8.285714

0.509804

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0.666667

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0.206897

0

1

0

false

0

0.333333

1

0

1

null

1

0

1

0

null

0

6

dcb2209bd7f0a8c7167b8778bed9c178a80ec46e

116

py

Python

colordict/__init__.py

aleferna12/colordict

ee66c3695c755a1a8469f740980c53df0d74471d

[ "MIT" ]

1

2020-05-30T22:01:55.000Z

colordict/__init__.py

aleferna12/colordict

ee66c3695c755a1a8469f740980c53df0d74471d

[ "MIT" ]

1

2021-04-19T19:16:56.000Z

2021-04-29T12:36:06.000Z

colordict/__init__.py

aleferna12/colordict

ee66c3695c755a1a8469f740980c53df0d74471d

[ "MIT" ]

null

from colordict.color import * from colordict.cdict import * from colordict.gradients import * __version__ = '1.2.5'

23.2

33

0.775862

16

116

5.375

0.625

0.453488

0.44186

0

0.029703

0.12931

116

5

34

23.2

0.821782

0

0.042735

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1

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false

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0

1

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null

0

1

0

1

0

6

f4e76adfae16c6fe70fdb1aa4939999c15e99ad1

4,282

py

Python

utils/triplet.py

loribonna/CSSL

60095d873dd62bb4403a4c20f054543673a21e7a

[ "MIT" ]

3

2022-01-04T09:21:19.000Z

2022-01-14T22:38:04.000Z

utils/triplet.py

loribonna/CSSL

60095d873dd62bb4403a4c20f054543673a21e7a

[ "MIT" ]

null

utils/triplet.py

loribonna/CSSL

60095d873dd62bb4403a4c20f054543673a21e7a

[ "MIT" ]

null

# Copyright 2021-present, Lorenzo Bonicelli, Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import torch def negative_only_triplet_loss(labels, embeddings, k, margin=0, margin_type='soft'): """Build the triplet loss over a batch of embeddings. For each anchor, we get the hardest positive and hardest negative to form a triplet. Args: labels: labels of the batch, of size (batch_size,) embeddings: tensor of shape (batch_size, embed_dim) margin: margin for triplet loss squared: Boolean. If true, output is the pairwise squared euclidean distance matrix. If false, output is the pairwise euclidean distance matrix. Returns: triplet_loss: scalar tensor containing the triplet loss """ k = min(k, labels.shape[0]) # Get the pairwise distance matrix pairwise_dist = (embeddings.unsqueeze(0) - embeddings.unsqueeze(1)).pow(2).sum(2) # For each anchor, get the hardest positive # First, we need to get a mask for every valid positive (they should have same label) mask_anchor_positive = torch.eq(torch.unsqueeze(labels, 0), torch.unsqueeze(labels, 1)).float() # We add inf in each row to the positives anchor_negative_dist = pairwise_dist anchor_negative_dist[mask_anchor_positive.bool()] = float('inf') # shape (batch_size,) hardest_negative_dist = torch.topk(anchor_negative_dist, k=k, dim=1, largest=False)[0] mask = hardest_negative_dist != float('inf') dneg = hardest_negative_dist[mask] if dneg.shape[0] == 0: return None # Combine biggest d(a, p) and smallest d(a, n) into final triplet loss if margin_type == 'soft': loss = torch.log1p(torch.exp(- dneg + float(margin))) else: loss = torch.clamp(- dneg + float(margin), min=0.0) # Get thanchor_negative_diste true loss value loss = torch.mean(loss) return loss def batch_hard_triplet_loss(labels, embeddings, k, margin=0, margin_type='soft'): """Build the triplet loss over a batch of embeddings. For each anchor, we get the hardest positive and hardest negative to form a triplet. Args: labels: labels of the batch, of size (batch_size,) embeddings: tensor of shape (batch_size, embed_dim) margin: margin for triplet loss squared: Boolean. If true, output is the pairwise squared euclidean distance matrix. If false, output is the pairwise euclidean distance matrix. Returns: triplet_loss: scalar tensor containing the triplet loss """ k = min(k, labels.shape[0]) # Get the pairwise distance matrix pairwise_dist = (embeddings.unsqueeze(0) - embeddings.unsqueeze(1)).pow(2).sum(2) # For each anchor, get the hardest positive # First, we need to get a mask for every valid positive (they should have same label) mask_anchor_positive = torch.eq(torch.unsqueeze(labels, 0), torch.unsqueeze(labels, 1)).float() # We put to 0 any element where (a, p) is not valid (valid if a != p and label(a) == label(p)) anchor_positive_dist = mask_anchor_positive * pairwise_dist # shape (batch_size, 1) hardest_positive_dist = torch.topk(anchor_positive_dist, k=k, dim=1, largest=True)[0] # We add inf in each row to the positives anchor_negative_dist = pairwise_dist anchor_negative_dist[mask_anchor_positive.bool()] = float('inf') # shape (batch_size,) hardest_negative_dist = torch.topk(anchor_negative_dist, k=k, dim=1, largest=False)[0] mask = hardest_negative_dist != float('inf') dpos = hardest_positive_dist[mask] dneg = hardest_negative_dist[mask] if dpos.shape[0] == 0 or dneg.shape[0] == 0: return None # Combine biggest d(a, p) and smallest d(a, n) into final triplet loss if margin_type == 'soft': loss = torch.log1p(torch.exp(dpos - dneg + float(margin))) else: loss = torch.clamp(dpos - dneg + float(margin), min=0.0) # Get thanchor_negative_diste true loss value loss = torch.mean(loss) if loss < 0: import pdb; pdb.set_trace() return loss

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4,282

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37.893805

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false

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0.2

0

null

0

1

0

null

0

6

524974f598f6db1aa47f48b3302976bd8e7637b0

67

py

Python

nesdis_aws/__init__.py

hagne/nesdis_aws

13db768d83274320dfacbac130fe3e355b647387

[ "MIT" ]

null

nesdis_aws/__init__.py

hagne/nesdis_aws

13db768d83274320dfacbac130fe3e355b647387

[ "MIT" ]

2

2021-09-22T15:37:23.000Z

2021-12-23T18:36:44.000Z

nesdis_aws/__init__.py

hagne/nesdis_aws

13db768d83274320dfacbac130fe3e355b647387

[ "MIT" ]

null

# -*- coding: utf-8 -*- from nesdis_aws.nesdis_aws import AwsQuery

22.333333

42

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4.6

0.8

0.391304

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1

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6

52515b6b78169ef12c353e31f3a806e39dc05655

632

py

Python

peacemakr/generated/api/__init__.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

3

2020-01-27T10:07:29.000Z

2021-05-17T16:45:59.000Z

peacemakr/generated/api/__init__.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

7

2020-06-24T03:55:36.000Z

2021-03-30T00:43:51.000Z

peacemakr/generated/api/__init__.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

1

2021-04-27T04:12:30.000Z

from __future__ import absolute_import # flake8: noqa # import apis into api package from peacemakr.generated.api.client_api import ClientApi from peacemakr.generated.api.crypto_config_api import CryptoConfigApi from peacemakr.generated.api.key_derivation_service_registry_api import KeyDerivationServiceRegistryApi from peacemakr.generated.api.key_service_api import KeyServiceApi from peacemakr.generated.api.login_api import LoginApi from peacemakr.generated.api.org_api import OrgApi from peacemakr.generated.api.phone_home_api import PhoneHomeApi from peacemakr.generated.api.server_management_api import ServerManagementApi

45.142857

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632

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632

13

104

48.615385

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0

null

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0

null

0

1

0

1

0

1

0

6

5260f220b0106e704783abff8ca4c9a6b941e16d

212

py

Python

meld/components/counter.py

kaidamasaki/teach

1d29d3545705edd101216c1db108a4db118090ea

[ "Unlicense" ]

null

meld/components/counter.py

kaidamasaki/teach

1d29d3545705edd101216c1db108a4db118090ea

[ "Unlicense" ]

null

meld/components/counter.py

kaidamasaki/teach

1d29d3545705edd101216c1db108a4db118090ea

[ "Unlicense" ]

null

from flask_meld.component import Component class Counter(Component): count = 0 def add(self): self.count = int(self.count) + 1 def subtract(self): self.count = int(self.count) - 1

17.666667

42

0.632075

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4.586207

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0.270677

0.195489

0.240602

0.390977

0

0.019108

0.259434

212

11

43

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0.828025

0

1

0.285714

false

0

0.142857

0

0.714286

0

1

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null

1

0

null

0

1

0

1

0

6

8710f4f3de2c7ea447eace537c20b1c9f17c237f

47

py

Python

waterbutler/providers/s3compat/__init__.py

KakeruMizuno/RDM-waterbutler

58ecd801385a7572d1ed56568a31f701291c4e3e

[ "Apache-2.0" ]

null

waterbutler/providers/s3compat/__init__.py

KakeruMizuno/RDM-waterbutler

58ecd801385a7572d1ed56568a31f701291c4e3e

[ "Apache-2.0" ]

9

2018-04-13T04:57:46.000Z

2019-08-20T13:58:02.000Z

waterbutler/providers/s3compat/__init__.py

KakeruMizuno/RDM-waterbutler

58ecd801385a7572d1ed56568a31f701291c4e3e

[ "Apache-2.0" ]

6

2018-09-29T13:49:26.000Z

2022-01-27T04:35:12.000Z

from .provider import S3CompatProvider # noqa

23.5

46

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5

47

7.6

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47

1

47

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true

0

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null

0

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null

0

1

0

1

0

1

0

6

87417c7bbcb9f76e6735a0ceeac7ffd0b8e1be07

9,443

py

Python

tests/contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/test_michelson_coding_KT1TEy.py

juztin/pytezos-1

7e608ff599d934bdcf129e47db43dbdb8fef9027

[ "MIT" ]

1

2020-08-11T02:31:24.000Z

tests/contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/test_michelson_coding_KT1TEy.py

juztin/pytezos-1

7e608ff599d934bdcf129e47db43dbdb8fef9027

[ "MIT" ]

1

2020-12-30T16:44:56.000Z

tests/contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/test_michelson_coding_KT1TEy.py

tqtezos/pytezos

a4ac0b022d35d4c9f3062609d8ce09d584b5faa8

[ "MIT" ]

1

2022-03-20T19:01:00.000Z

from unittest import TestCase from tests import get_data from pytezos.michelson.micheline import michelson_to_micheline from pytezos.michelson.formatter import micheline_to_michelson class MichelsonCodingTestKT1TEy(TestCase): def setUp(self): self.maxDiff = None def test_michelson_parse_code_KT1TEy(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/code_KT1TEy.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/code_KT1TEy.tz')) self.assertEqual(expected, actual) def test_michelson_format_code_KT1TEy(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/code_KT1TEy.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/code_KT1TEy.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_code_KT1TEy(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/code_KT1TEy.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_storage_KT1TEy(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/storage_KT1TEy.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/storage_KT1TEy.tz')) self.assertEqual(expected, actual) def test_michelson_format_storage_KT1TEy(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/storage_KT1TEy.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/storage_KT1TEy.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_storage_KT1TEy(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/storage_KT1TEy.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_parameter_ooSJeE(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ooSJeE.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ooSJeE.tz')) self.assertEqual(expected, actual) def test_michelson_format_parameter_ooSJeE(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ooSJeE.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ooSJeE.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_parameter_ooSJeE(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ooSJeE.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_parameter_opKSUG(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opKSUG.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opKSUG.tz')) self.assertEqual(expected, actual) def test_michelson_format_parameter_opKSUG(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opKSUG.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opKSUG.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_parameter_opKSUG(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opKSUG.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_parameter_ootApt(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ootApt.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ootApt.tz')) self.assertEqual(expected, actual) def test_michelson_format_parameter_ootApt(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ootApt.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ootApt.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_parameter_ootApt(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_ootApt.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_parameter_oo7dXA(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_oo7dXA.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_oo7dXA.tz')) self.assertEqual(expected, actual) def test_michelson_format_parameter_oo7dXA(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_oo7dXA.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_oo7dXA.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_parameter_oo7dXA(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_oo7dXA.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_parameter_opJMM9(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opJMM9.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opJMM9.tz')) self.assertEqual(expected, actual) def test_michelson_format_parameter_opJMM9(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opJMM9.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opJMM9.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_parameter_opJMM9(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_opJMM9.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_parameter_op6KiD(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_op6KiD.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_op6KiD.tz')) self.assertEqual(expected, actual) def test_michelson_format_parameter_op6KiD(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_op6KiD.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_op6KiD.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_parameter_op6KiD(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_op6KiD.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual) def test_michelson_parse_parameter_onkFnb(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_onkFnb.json') actual = michelson_to_micheline(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_onkFnb.tz')) self.assertEqual(expected, actual) def test_michelson_format_parameter_onkFnb(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_onkFnb.tz') actual = micheline_to_michelson(get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_onkFnb.json'), inline=True) self.assertEqual(expected, actual) def test_michelson_inverse_parameter_onkFnb(self): expected = get_data( path='contracts/KT1TEyRcaJi39jgj4Uuz7VD6Jmn6CDDADv4x/parameter_onkFnb.json') actual = michelson_to_micheline(micheline_to_michelson(expected)) self.assertEqual(expected, actual)

46.9801

90

0.733983

880

9,443

7.563636

0.05

0.048377

0.074369

0.135216

0.963341

0.947416

0

0.052514

0.191359

9,443

200

91

47.215

0.819146

0

0.639053

0

0.316531

0

0.159763

1

0.16568

false

0

0.023669

0

0.195266

0

null

0

1

0

null

0

6

5ec5f8854536907f1712c481b9785dc2f47146cf

63

py

Python

vrp/__init__.py

israelpereira55/CVRPPLOT

c4e59f04cab8d6661729decacd044ec619d6d0a4

[ "MIT" ]

null

vrp/__init__.py

israelpereira55/CVRPPLOT

c4e59f04cab8d6661729decacd044ec619d6d0a4

[ "MIT" ]

null

vrp/__init__.py

israelpereira55/CVRPPLOT

c4e59f04cab8d6661729decacd044ec619d6d0a4

[ "MIT" ]

null

from .cvrp import CVRP from .cvrp_solution import CVRP_Solution

31.5

40

0.857143

10

63

5.2

0.4

0.307692

0

0.111111

63

2

40

31.5

0.928571

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

5ec95bf00cb761c170e9cf77a5c77cb77c53e83a

110

py

Python

jagdreisencheck/context_processors.py

HerbyDE/jagdreisencheck-webapp

9af5deda2423b787da88a0c893f3c474d8e4f73f

[ "BSD-3-Clause" ]

null

jagdreisencheck/context_processors.py

HerbyDE/jagdreisencheck-webapp

9af5deda2423b787da88a0c893f3c474d8e4f73f

[ "BSD-3-Clause" ]

null

jagdreisencheck/context_processors.py

HerbyDE/jagdreisencheck-webapp

9af5deda2423b787da88a0c893f3c474d8e4f73f

[ "BSD-3-Clause" ]

null

import os def testsystem(request): return {'is_testsystem': eval(os.environ.get('testsystem', "True"))}

18.333333

72

0.7

14

110

5.428571

0.785714

0

0.127273

110

6

72

18.333333

0.791667

0

0.243243

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

0d65483cbb740a43d18ccce67774236ded01c2b9

69,585

py

Python

tests/test_walker.py

Code-ReaQtor/latex2mathml

849bc9d3e6a0fed255a6eb5709b7f4f4451a9d6b

[ "MIT" ]

21

2016-01-10T22:10:32.000Z

2018-12-19T12:45:19.000Z

tests/test_walker.py

Code-ReaQtor/latex2mathml

849bc9d3e6a0fed255a6eb5709b7f4f4451a9d6b

[ "MIT" ]

23

2016-07-18T10:07:45.000Z

2018-11-11T14:12:42.000Z

tests/test_walker.py

Code-ReaQtor/latex2mathml

849bc9d3e6a0fed255a6eb5709b7f4f4451a9d6b

[ "MIT" ]

4

2016-03-13T06:53:14.000Z

2018-12-25T05:33:04.000Z

import string from typing import Any, Tuple, Union import pytest from latex2mathml.exceptions import ( DenominatorNotFoundError, DoubleSubscriptsError, DoubleSuperscriptsError, ExtraLeftOrMissingRightError, InvalidAlignmentError, InvalidStyleForGenfracError, InvalidWidthError, LimitsMustFollowMathOperatorError, MissingEndError, MissingSuperScriptOrSubscriptError, NumeratorNotFoundError, ) from latex2mathml.walker import Node, walk @pytest.mark.parametrize( "latex, expected", [ pytest.param(string.ascii_letters, [Node(token=c) for c in string.ascii_letters], id="alphabets"), pytest.param("{{}}", [Node(token="{}", children=(Node(token="{}", children=()),))], id="empty-group"), pytest.param(string.digits, [Node(token=string.digits)], id="numbers"), pytest.param("12.56", [Node(token="12.56")], id="decimals"), pytest.param("5x", [Node(token="5"), Node(token="x")], id="numbers-and-alphabets"), pytest.param("5.8x", [Node(token="5.8"), Node(token="x")], id="decimals-and-alphabets"), pytest.param("3 x", [Node(token="3"), Node(token="x")], id="string-with-space"), pytest.param("+-*/=()[])]([", [Node(token=c) for c in "+-*/=()[])](["], id="operators"), pytest.param("3 + 5x - 5y = 7", [Node(token=c) for c in "3+5x-5y=7"], id="numbers-alphabets-and-operators"), pytest.param(r"\alpha\beta", [Node(token=r"\alpha"), Node(token=r"\beta")], id="symbols"), pytest.param( r"\frac2x", [Node(token=r"\frac", children=(Node(token="2"), Node(token="x")))], id="symbols-appended-with-number", ), pytest.param("{a}", [Node(token="{}", children=(Node(token="a"),))], id="single-group"), pytest.param( "{a}{b}", [Node(token="{}", children=(Node(token="a"),)), Node(token="{}", children=(Node(token="b"),))], id="multiple-groups", ), pytest.param( "{a+{b}}", [ Node( token="{}", children=(Node(token="a"), Node(token="+"), Node(token="{}", children=(Node(token="b"),))), ) ], id="inner-group", ), pytest.param("a_b", [Node(token="_", children=(Node(token="a"), Node(token="b")))], id="subscript-1"), pytest.param( "{a_b}", [Node(token="{}", children=(Node(token="_", children=(Node(token="a"), Node(token="b"))),))], id="subscript-2", ), pytest.param("1_2", [Node(token="_", children=(Node(token="1"), Node(token="2")))], id="subscript-3"), pytest.param("1.2_2", [Node(token="_", children=(Node(token="1.2"), Node(token="2")))], id="subscript-4"), pytest.param("a^b", [Node(token="^", children=(Node(token="a"), Node(token="b")))], id="superscript-1"), pytest.param( "{a^b}", [Node(token="{}", children=(Node(token="^", children=(Node(token="a"), Node(token="b"))),))], id="superscript-2", ), pytest.param( "a^{i+1}_3", [ Node( token="_^", children=( Node(token="a"), Node(token="3"), Node(token="{}", children=(Node(token="i"), Node(token="+"), Node(token="1"))), ), ) ], id="superscript-3", ), pytest.param( "a_b^c", [Node(token="_^", children=(Node(token="a"), Node(token="b"), Node(token="c")))], id="subscript-and-superscript-1", ), pytest.param( "a^b_c", [Node(token="_^", children=(Node(token="a"), Node(token="c"), Node(token="b")))], id="subscript-and-superscript-2", ), pytest.param( r"\sqrt[3]{2}", [Node(token=r"\root", children=(Node(token="{}", children=(Node(token="2"),)), Node(token="3")))], id="root", ), pytest.param( r"\frac{1}{2}", [ Node( token=r"\frac", children=( Node(token="{}", children=(Node(token="1"),)), Node(token="{}", children=(Node(token="2"),)), ), ), ], id="fraction-1", ), pytest.param( r"1 \over 2", [Node(token=r"\frac", children=(Node(token="1"), Node(token="2")))], id="fraction-2", ), pytest.param( r"{1 \over 2}", [Node(token="{}", children=(Node(token=r"\frac", children=(Node(token="1"), Node(token="2"))),))], id="fraction-3", ), pytest.param( r"\left\{\right.", [Node(token=r"\left", children=(Node(token=r"\right", delimiter="."),), delimiter=r"\{")], id="null-delimiter-1", ), pytest.param( r"\matrix{a & b \\ c & d}", [ Node( token=r"\matrix", children=( Node(token="a"), Node(token="&"), Node(token="b"), Node(token=r"\\"), Node(token="c"), Node(token="&"), Node(token="d"), ), alignment="", ) ], id="matrix-1", ), pytest.param( r"\begin{matrix}a & b \\ c & d \end{matrix}", [ Node( token=r"\matrix", children=( Node(token="a"), Node(token="&"), Node(token="b"), Node(token=r"\\"), Node(token="c"), Node(token="&"), Node(token="d"), ), alignment="", ) ], id="matrix-2", ), pytest.param( r"\left\{ \begin{array} { l } { 3x - 5y + 4z = 0} \\ { x - y + 8z = 0} \\ { 2x - 6y + z = 0} " r"\end{array}\right.", [ Node( token=r"\left", children=( Node( token=r"\array", alignment="l", children=( Node( token="{}", children=( Node(token="3"), Node(token="x"), Node(token="-"), Node(token="5"), Node(token="y"), Node(token="+"), Node(token="4"), Node(token="z"), Node(token="="), Node(token="0"), ), ), Node(token=r"\\"), Node( token="{}", children=( Node(token="x"), Node(token="-"), Node(token="y"), Node(token="+"), Node(token="8"), Node(token="z"), Node(token="="), Node(token="0"), ), ), Node(token=r"\\"), Node( token="{}", children=( Node(token="2"), Node(token="x"), Node(token="-"), Node(token="6"), Node(token="y"), Node(token="+"), Node(token="z"), Node(token="="), Node(token="0"), ), ), ), ), Node(token=r"\right", delimiter="."), ), delimiter=r"\{", ) ], id="null-delimiter-2", ), pytest.param( r"\begin{matrix*}[r]a & b \\ c & d \end{matrix*}", [ Node( token=r"\matrix*", children=( Node(token="a"), Node(token="&"), Node(token="b"), Node(token=r"\\"), Node(token="c"), Node(token="&"), Node(token="d"), ), alignment="r", ) ], id="matrix-with-alignment", ), pytest.param( r"\begin{matrix*}[]a & b \\ c & d \end{matrix*}", [ Node( token=r"\matrix*", children=( Node(token="a"), Node(token="&"), Node(token="b"), Node(token=r"\\"), Node(token="c"), Node(token="&"), Node(token="d"), ), alignment="", ) ], id="matrix-with-empty-alignment", ), pytest.param( r"\begin{matrix}-a & b \\ c & d \end{matrix}", [ Node( token=r"\matrix", children=( Node(token="-"), Node(token="a"), Node(token="&"), Node(token="b"), Node(token=r"\\"), Node(token="c"), Node(token="&"), Node(token="d"), ), alignment="", ) ], id="matrix-with-negative-sign", ), pytest.param( r"\begin{matrix}-\end{matrix}", [Node(token=r"\matrix", children=(Node(token="-"),), alignment="")], id="matrix-with-just-negative-sign-1", ), pytest.param( r"\begin{matrix}a_{1} & b_{2} \\ c_{3} & d_{4} \end{matrix}", [ Node( token=r"\matrix", children=( Node(token="_", children=(Node(token="a"), Node(token="{}", children=(Node(token="1"),)))), Node(token="&"), Node(token="_", children=(Node(token="b"), Node(token="{}", children=(Node(token="2"),)))), Node(token=r"\\"), Node(token="_", children=(Node(token="c"), Node(token="{}", children=(Node(token="3"),)))), Node(token="&"), Node(token="_", children=(Node(token="d"), Node(token="{}", children=(Node(token="4"),)))), ), alignment="", ), ], id="complex-matrix", ), pytest.param( r"\begin{array}{cc} 1 & 2 \\ 3 & 4 \end{array}", [ Node( token=r"\array", children=( Node(token="1"), Node(token="&"), Node(token="2"), Node(token=r"\\"), Node(token="3"), Node(token="&"), Node(token="4"), ), alignment="cc", ) ], id="simple-array", ), pytest.param( r"""\begin{bmatrix} a_{1,1} & a_{1,2} & \cdots & a_{1,n} \\ a_{2,1} & a_{2,2} & \cdots & a_{2,n} \\ \vdots & \vdots & \ddots & \vdots \\ a_{m,1} & a_{m,2} & \cdots & a_{m,n} \end{bmatrix}""", [ Node( token=r"\bmatrix", children=( Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="1"), Node(token=","), Node(token="1"))), ), ), Node(token="&"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="1"), Node(token=","), Node(token="2"))), ), ), Node(token="&"), Node(token=r"\cdots"), Node(token="&"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="1"), Node(token=","), Node(token="n"))), ), ), Node(token=r"\\"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="2"), Node(token=","), Node(token="1"))), ), ), Node(token="&"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="2"), Node(token=","), Node(token="2"))), ), ), Node(token="&"), Node(token=r"\cdots"), Node(token="&"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="2"), Node(token=","), Node(token="n"))), ), ), Node(token=r"\\"), Node(token=r"\vdots"), Node(token="&"), Node(token=r"\vdots"), Node(token="&"), Node(token=r"\ddots"), Node(token="&"), Node(token=r"\vdots"), Node(token=r"\\"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="m"), Node(token=","), Node(token="1"))), ), ), Node(token="&"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="m"), Node(token=","), Node(token="2"))), ), ), Node(token="&"), Node(token=r"\cdots"), Node(token="&"), Node( token="_", children=( Node(token="a"), Node(token="{}", children=(Node(token="m"), Node(token=","), Node(token="n"))), ), ), ), alignment="", ) ], id="issue-33", ), pytest.param( r"\sqrt { ( - 25 ) ^ { 2 } } = \pm 25", [ Node( token=r"\sqrt", children=( Node( token="{}", children=( Node(token="("), Node(token="-"), Node(token="25"), Node( token="^", children=(Node(token=")"), Node(token="{}", children=(Node(token="2"),))) ), ), ), ), ), Node(token="="), Node(token=r"\pm"), Node(token="25"), ], id="issue-42", ), pytest.param( r"\left(- x^{3} + 5\right)^{5}", [ Node( token="^", children=( Node( token=r"\left", children=( Node(token="-"), Node( token="^", children=(Node(token="x"), Node(token="{}", children=(Node(token="3"),))) ), Node(token="+"), Node(token="5"), Node(token=r"\right", delimiter=")"), ), delimiter="(", ), Node(token="{}", children=(Node(token="5"),)), ), ) ], id="issue-44", ), pytest.param( r"\begin{array}{rcl}ABC&=&a\\A&=&abc\end{array}", [ Node( token=r"\array", children=( Node(token="A"), Node(token="B"), Node(token="C"), Node(token="&"), Node(token="="), Node(token="&"), Node(token="a"), Node(token=r"\\"), Node(token="A"), Node(token="&"), Node(token="="), Node(token="&"), Node(token="a"), Node(token="b"), Node(token="c"), ), alignment="rcl", ) ], id="issue-55", ), pytest.param( r"\begin{array}{cr} 1 & 2 \\ 3 & 4 \\ \hline 5 & 6 \end{array}", [ Node( token=r"\array", children=( Node(token="1"), Node(token="&"), Node(token="2"), Node(token=r"\\"), Node(token="3"), Node(token="&"), Node(token="4"), Node(token=r"\\"), Node(token=r"\hline"), Node(token="5"), Node(token="&"), Node(token="6"), ), alignment="cr", ) ], id="array-with-horizontal-line", ), pytest.param( r"\begin{array}{cr} 1 & 2 \\ \hline 3 & 4 \\ \hline 5 & 6 \end{array}", [ Node( token=r"\array", children=( Node(token="1"), Node(token="&"), Node(token="2"), Node(token=r"\\"), Node(token=r"\hline"), Node(token="3"), Node(token="&"), Node(token="4"), Node(token=r"\\"), Node(token=r"\hline"), Node(token="5"), Node(token="&"), Node(token="6"), ), alignment="cr", ) ], id="array-with-horizontal-lines", ), pytest.param( r"\mathrm{...}", [ Node( token=r"\mathrm", children=(Node(token="{}", children=(Node(token="."), Node(token="."), Node(token="."))),), ) ], id="issue-60", ), pytest.param( r"\frac{x + 4}{x + \frac{123 \left(\sqrt{x} + 5\right)}{x + 4} - 8}", [ Node( token=r"\frac", children=( Node(token="{}", children=(Node(token="x"), Node(token="+"), Node(token="4"))), Node( token="{}", children=( Node(token="x"), Node(token="+"), Node( token=r"\frac", children=( Node( token="{}", children=( Node(token="123"), Node( token=r"\left", children=( Node( token=r"\sqrt", children=(Node(token="{}", children=(Node(token="x"),)),), ), Node(token="+"), Node(token="5"), Node(token=r"\right", delimiter=")"), ), delimiter="(", ), ), ), Node(token="{}", children=(Node(token="x"), Node(token="+"), Node(token="4"))), ), ), Node(token="-"), Node(token="8"), ), ), ), ) ], id="issue-61", ), pytest.param( r"\sqrt {\sqrt {\left( x^{3}\right) + v}}", [ Node( token=r"\sqrt", children=( Node( token="{}", children=( Node( token=r"\sqrt", children=( Node( token="{}", children=( Node( token=r"\left", children=( Node( token="^", children=( Node(token="x"), Node(token="{}", children=(Node(token="3"),)), ), ), Node(token=r"\right", delimiter=")"), ), delimiter="(", ), Node(token="+"), Node(token="v"), ), ), ), ), ), ), ), ) ], id="issue-63", ), pytest.param( r"\left(\left(x\right)\right)", [ Node( token=r"\left", children=( Node( token=r"\left", children=(Node(token="x"), Node(token=r"\right", delimiter=")")), delimiter="(", ), Node(token=r"\right", delimiter=")"), ), delimiter="(", ) ], id=r"nested-left-right", ), pytest.param( r"\left(x\right){5}", [ Node( token=r"\left", children=(Node(token="x"), Node(token=r"\right", delimiter=")")), delimiter="(", ), Node(token="{}", children=(Node(token="5"),)), ], id=r"group-after-right", ), pytest.param( r"\sqrt[3]{}", [Node(token=r"\root", children=(Node(token="{}", children=()), Node(token="3")))], id="empty-nth-root", ), pytest.param( r"1_{}", [Node(token="_", children=(Node(token="1"), Node(token="{}", children=())))], id="empty-subscript" ), pytest.param( r"\array{}", [Node(token=r"\array", children=(Node(token="{}", children=()),), alignment="")], id="empty-array", ), pytest.param( r"\array{{}}", [Node(token=r"\array", children=(Node(token="{}", children=()),), alignment="")], id="empty-array-with-empty-group", ), pytest.param( r"\left[\begin{matrix}1 & 0 & 0 & 0\\0 & 1 & 0 & 0\\0 & 0 & 1 & 0\\0 & 0 & 0 & 1\end{matrix}\right]", [ Node( token=r"\left", children=( Node( token=r"\matrix", children=( Node(token="1"), Node(token="&"), Node(token="0"), Node(token="&"), Node(token="0"), Node(token="&"), Node(token="0"), Node(token=r"\\"), Node(token="0"), Node(token="&"), Node(token="1"), Node(token="&"), Node(token="0"), Node(token="&"), Node(token="0"), Node(token=r"\\"), Node(token="0"), Node(token="&"), Node(token="0"), Node(token="&"), Node(token="1"), Node(token="&"), Node(token="0"), Node(token=r"\\"), Node(token="0"), Node(token="&"), Node(token="0"), Node(token="&"), Node(token="0"), Node(token="&"), Node(token="1"), ), alignment="", ), Node(token=r"\right", delimiter="]"), ), delimiter="[", ) ], id="issue-77", ), pytest.param( r"\left({x}\right)", [ Node( token=r"\left", children=( Node(token="{}", children=(Node(token="x"),)), Node(token=r"\right", delimiter=")"), ), delimiter="(", ) ], id="issue-78-1", ), pytest.param( r"\left(\frac{x^{x^{x}}}{x}\right)", [ Node( token=r"\left", children=( Node( token=r"\frac", children=( Node( token="{}", children=( Node( token="^", children=( Node(token="x"), Node( token="{}", children=( Node( token="^", children=( Node(token="x"), Node(token="{}", children=(Node(token="x"),)), ), ), ), ), ), ), ), ), Node(token="{}", children=(Node(token="x"),)), ), ), Node(token=r"\right", delimiter=")"), ), delimiter="(", ) ], id="issue-78-2", ), pytest.param( r"x^{x^{x^{x}}} \left(x^{x^{x}} \left(x^{x} \left(\log{\left(x \right)} + 1\right) \log{\left(x \right)} + " r"\frac{x^{x}}{x}\right) \log{\left(x \right)} + \frac{x^{x^{x}}}{x}\right)", [ Node( token="^", children=( Node(token="x"), Node( token="{}", children=( Node( token="^", children=( Node(token="x"), Node( token="{}", children=( Node( token="^", children=( Node(token="x"), Node(token="{}", children=(Node(token="x"),)), ), ), ), ), ), ), ), ), ), ), Node( token=r"\left", children=( Node( token="^", children=( Node(token="x"), Node( token="{}", children=( Node( token="^", children=(Node(token="x"), Node(token="{}", children=(Node(token="x"),))), ), ), ), ), ), Node( token=r"\left", children=( Node( token="^", children=(Node(token="x"), Node(token="{}", children=(Node(token="x"),))) ), Node( token=r"\left", children=( Node(token=r"\log"), Node( token="{}", children=( Node( token=r"\left", children=(Node(token="x"), Node(token=r"\right", delimiter=")")), delimiter="(", ), ), ), Node(token="+"), Node(token="1"), Node(token=r"\right", delimiter=")"), ), delimiter="(", ), Node(token=r"\log"), Node( token="{}", children=( Node( token=r"\left", children=(Node(token="x"), Node(token=r"\right", delimiter=")")), delimiter="(", ), ), ), Node(token="+"), Node( token=r"\frac", children=( Node( token="{}", children=( Node( token="^", children=( Node(token="x"), Node(token="{}", children=(Node(token="x"),)), ), ), ), ), Node(token="{}", children=(Node(token="x"),)), ), ), Node(token=r"\right", delimiter=")"), ), delimiter="(", ), Node(token=r"\log"), Node( token="{}", children=( Node( token=r"\left", children=(Node(token="x"), Node(token=r"\right", delimiter=")")), delimiter="(", ), ), ), Node(token="+"), Node( token=r"\frac", children=( Node( token="{}", children=( Node( token="^", children=( Node(token="x"), Node( token="{}", children=( Node( token="^", children=( Node(token="x"), Node(token="{}", children=(Node(token="x"),)), ), ), ), ), ), ), ), ), Node(token="{}", children=(Node(token="x"),)), ), ), Node(token=r"\right", delimiter=")"), ), delimiter="(", ), ], id="issue-78-3", ), pytest.param( r"\log_2{x}", [ Node(token="_", children=(Node(token=r"\log"), Node(token="2"))), Node(token="{}", children=(Node(token="x"),)), ], id="logarithm-with-base", ), pytest.param( r"\sqrt[]{3}", [Node(token=r"\sqrt", children=(Node(token="{}", children=(Node(token="3"),)),))], id="issue-79-empty-root", ), pytest.param( r"\frac{3}{\frac{1}{2}{x}^{2}}", [ Node( token=r"\frac", children=( Node(token="{}", children=(Node(token="3"),)), Node( token="{}", children=( Node( token=r"\frac", children=( Node(token="{}", children=(Node(token="1"),)), Node(token="{}", children=(Node(token="2"),)), ), ), Node( token="^", children=( Node(token="{}", children=(Node(token="x"),)), Node(token="{}", children=(Node(token="2"),)), ), ), ), ), ), ) ], id="issue-79-exponent-after-fraction", ), pytest.param( r"\frac{3}{\frac{1}{2}{x}^{2}-\frac{3\sqrt[]{3}}{2}x+3}", [ Node( token=r"\frac", children=( Node(token="{}", children=(Node(token="3"),)), Node( token="{}", children=( Node( token=r"\frac", children=( Node(token="{}", children=(Node(token="1"),)), Node(token="{}", children=(Node(token="2"),)), ), ), Node( token="^", children=( Node(token="{}", children=(Node(token="x"),)), Node(token="{}", children=(Node(token="2"),)), ), ), Node(token="-"), Node( token=r"\frac", children=( Node( token="{}", children=( Node(token="3"), Node( token=r"\sqrt", children=(Node(token="{}", children=(Node(token="3"),)),), ), ), ), Node(token="{}", children=(Node(token="2"),)), ), ), Node(token="x"), Node(token="+"), Node(token="3"), ), ), ), ) ], id="issue-79", ), pytest.param( "^3", [Node(token="^", children=(Node(token=""), Node(token="3")))], id="superscript-without-base-works" ), pytest.param( "_3", [Node(token="_", children=(Node(token=""), Node(token="3")))], id="subscript-without-base-works" ), pytest.param( r"\lim_{x \to +\infty} f(x)", [ Node( token="_", children=( Node(token=r"\lim"), Node( token="{}", children=(Node(token="x"), Node(token=r"\to"), Node(token="+"), Node(token=r"\infty")), ), ), ), Node(token="f"), Node(token="("), Node(token="x"), Node(token=")"), ], id="limit-at-plus-infinity", ), pytest.param( r"\inf_{x > s}f(x)", [ Node( token="_", children=( Node(token=r"\inf"), Node(token="{}", children=(Node(token="x"), Node(token=">"), Node(token="s"))), ), ), Node(token="f"), Node(token="("), Node(token="x"), Node(token=")"), ], id="inf", ), pytest.param( r"\sup_{x \in \mathbb{R}}f(x)", [ Node( token="_", children=( Node(token=r"\sup"), Node(token="{}", children=(Node(token="x"), Node(token=r"\in"), Node(token="ℝ"))), ), ), Node(token="f"), Node(token="("), Node(token="x"), Node(token=")"), ], id="sup", ), pytest.param( r"\max_{x \in [a,b]}f(x)", [ Node( token="_", children=( Node(token=r"\max"), Node( token="{}", children=( Node(token="x"), Node(token=r"\in"), Node(token="["), Node(token="a"), Node(token=","), Node(token="b"), Node(token="]"), ), ), ), ), Node(token="f"), Node(token="("), Node(token="x"), Node(token=")"), ], id="max", ), pytest.param( r"\min_{x \in [\alpha,\beta]}f(x)", [ Node( token="_", children=( Node(token=r"\min"), Node( token="{}", children=( Node(token="x"), Node(token=r"\in"), Node(token="["), Node(token=r"\alpha"), Node(token=","), Node(token=r"\beta"), Node(token="]"), ), ), ), ), Node(token="f"), Node(token="("), Node(token="x"), Node(token=")"), ], id="min", ), pytest.param( r"\int\limits_{0}^{\pi}", [ Node( token="_^", children=( Node(token=r"\int"), Node(token="{}", children=(Node(token="0"),)), Node(token="{}", children=(Node(token=r"\pi"),)), ), modifier=r"\limits", ), ], id="issue-76", ), pytest.param( r"\sum_{\substack{1\le i\le n\\ i\ne j}}", [ Node( token="_", children=( Node(token=r"\sum"), Node( token="{}", children=( Node( token=r"\substack", children=( Node(token="1"), Node(token=r"\le"), Node(token="i"), Node(token=r"\le"), Node(token="n"), Node(token=r"\\"), Node(token="i"), Node(token=r"\ne"), Node(token="j"), ), alignment="", ), ), ), ), ) ], id="issue-75", ), pytest.param( r"\mathrm{AA}", [Node(token=r"\mathrm", children=(Node(token="{}", children=(Node(token="A"), Node(token="A"))),))], id="issue-94", ), pytest.param( r"(1+(x-y)^{2})", [ Node(token="("), Node(token="1"), Node(token="+"), Node(token="("), Node(token="x"), Node(token="-"), Node(token="y"), Node(token="^", children=(Node(token=")"), Node(token="{}", children=(Node(token="2"),)))), Node(token=")"), ], id="issue-96", ), pytest.param( r"p_{\max}", [Node(token="_", children=(Node(token="p"), Node(token="{}", children=(Node(token=r"\max"),))))], id="issue-98", ), pytest.param( r"\vec{AB}", [Node(token=r"\vec", children=(Node(token="{}", children=(Node(token="A"), Node(token="B"))),))], id="issue-103", ), pytest.param(r"\max f", [Node(token=r"\max"), Node(token="f")], id="issue-108-1"), pytest.param( r"\max \{a, b, c\}", [ Node(token=r"\max"), Node(token=r"\{"), Node(token="a"), Node(token=","), Node(token="b"), Node(token=","), Node(token="c"), Node(token=r"\}"), ], id="issue-108-2", ), pytest.param( r"\min{(x, y)}", [ Node(token=r"\min"), Node( token="{}", children=(Node(token="("), Node(token="x"), Node(token=","), Node(token="y"), Node(token=")")), ), ], id="issue-108-3", ), pytest.param( r"x = {-b \pm \sqrt{b^2-4ac} \over 2a}", [ Node(token="x"), Node(token="="), Node( token="{}", children=( Node( token=r"\frac", children=( Node( token="{}", children=( Node(token="-"), Node(token="b"), Node(token=r"\pm"), Node( token=r"\sqrt", children=( Node( token="{}", children=( Node(token="^", children=(Node(token="b"), Node(token="2"))), Node(token="-"), Node(token="4"), Node(token="a"), Node(token="c"), ), ), ), ), ), ), Node(token="{}", children=(Node(token="2"), Node(token="a"))), ), ), ), ), ], id="quadratic-equation", ), pytest.param( r"\binom{2}{3}", [ Node( token=r"\binom", children=( Node(token="{}", children=(Node(token="2"),)), Node(token="{}", children=(Node(token="3"),)), ), ) ], id="binomial", ), pytest.param( r"\overline{a}", [Node(token=r"\overline", children=(Node(token="{}", children=(Node(token="a"),)),))], id="overline", ), pytest.param( r"\bar{a}", [Node(token=r"\bar", children=(Node(token="{}", children=(Node(token="a"),)),))], id="bar", ), pytest.param( r"\underline{a}", [Node(token=r"\underline", children=(Node(token="{}", children=(Node(token="a"),)),))], id="underline", ), pytest.param( r"\overrightarrow{a}", [Node(token=r"\overrightarrow", children=(Node(token="{}", children=(Node(token="a"),)),))], id="overrightarrow", ), pytest.param(r"\text{Let}", [Node(token=r"\text", text="Let")], id="text"), pytest.param( r"F(a,n)=\overset{a-a-a\cdots-a}{}ntext{个}a", [ Node(token="F"), Node(token="("), Node(token="a"), Node(token=","), Node(token="n"), Node(token=")"), Node(token="="), Node( token=r"\overset", children=( Node(token="{}", children=()), Node( token="{}", children=( Node(token="a"), Node(token="-"), Node(token="a"), Node(token="-"), Node(token="a"), Node(token=r"\cdots"), Node(token="-"), Node(token="a"), ), ), ), ), Node(token="n"), Node(token="t"), Node(token="e"), Node(token="x"), Node(token="t"), Node(token="{}", children=(Node(token="个"),)), Node(token="a"), ], id="issue-125-overset", ), pytest.param( r"|\hspace1em|\hspace{10ex}|", [ Node(token="|"), Node(token=r"\hspace", attributes={"width": "1em"}), Node(token="|"), Node(token=r"\hspace", attributes={"width": "10ex"}), Node(token="|"), ], id="issue-129-hspace", ), pytest.param( "f'(x) = 2x, f''(x) = 2", [ Node(token="^", children=(Node(token="f"), Node(token=r"\prime"))), Node(token="("), Node(token="x"), Node(token=")"), Node(token="="), Node(token="2"), Node(token="x"), Node(token=","), Node(token="^", children=(Node(token="f"), Node(token=r"\dprime"))), Node(token="("), Node(token="x"), Node(token=")"), Node(token="="), Node(token="2"), ], id="prime", ), pytest.param( r"{a \above 1pt b} + {c \above {1.5pt} d}", [ Node( token="{}", children=( Node( token=r"\frac", children=(Node(token="a"), Node(token="b")), attributes={"linethickness": "1pt"}, ), ), ), Node(token="+"), Node( token="{}", children=( Node( token=r"\frac", children=(Node(token="c"), Node(token="d")), attributes={"linethickness": "1.5pt"}, ), ), ), ], id="above", ), pytest.param( r"a \atop {b \atopwithdelims \{ \} c}", [ Node( token=r"\frac", children=( Node(token="a"), Node( token="{}", children=( Node( token=r"\frac", children=( Node(token="b"), Node(token="c"), ), attributes={"linethickness": "0"}, delimiter="{}", ), ), ), ), attributes={"linethickness": "0"}, ), ], id="atop-and-atopwithdelims", ), pytest.param( r"{a \abovewithdelims [ ] 1pt b} + {c \abovewithdelims . . {1.5pt} d}", [ Node( token="{}", children=( Node( token=r"\frac", children=( Node(token="a"), Node(token="b"), ), attributes={"linethickness": "1pt"}, delimiter="[]", ), ), ), Node(token="+"), Node( token="{}", children=( Node( token=r"\frac", children=( Node(token="c"), Node(token="d"), ), attributes={"linethickness": "1.5pt"}, delimiter="..", ), ), ), ], id="abovewithdelims", ), # We don't want \Huge or \huge to make its siblings as children as it breaks groupings on deep-nesting pytest.param( r"[{[\Huge[\huge[[}[", [ Node(token="["), Node( token="{}", children=( Node(token="["), Node(token=r"\Huge"), Node(token="["), Node(token=r"\huge"), Node(token="["), Node(token="["), ), ), Node(token="["), ], id="huge", ), pytest.param( r"X_\mathrm{min}", [ Node( token="_", children=( Node(token="X"), Node( token=r"\mathrm", children=(Node(token="{}", children=(Node(token="m"), Node(token="i"), Node(token="n"))),), ), ), ) ], id="issue-203-1", ), pytest.param( r"a\mathop{t}b\mathop{t}c", [ Node(token="a"), Node(token=r"\mathop", children=(Node(token="{}", children=(Node(token="t"),)),)), Node(token="b"), Node(token=r"\mathop", children=(Node(token="{}", children=(Node(token="t"),)),)), Node(token="c"), ], id="issue-203-2", ), pytest.param(r"\hbox{E=mc^2}", [Node(token=r"\hbox", text="E=mc^2")], id="hbox"), pytest.param( r"\style{color:red}{x+1}", [ Node( token="{}", children=(Node(token="x"), Node(token="+"), Node(token="1")), attributes={"style": "color:red"}, ) ], id="style", ), pytest.param( r"\sideset{_1^2}{_3^4}\sum", [ Node( token=r"\sideset", children=( Node( token="_^", children=( Node( token=r"\vphantom", children=(Node(token=r"\sum", attributes={"movablelimits": "false"}),), ), Node(token="1"), Node(token="2"), ), ), Node( token="_^", children=( Node(token=r"\sum", attributes={"movablelimits": "false"}), Node(token="3"), Node(token="4"), ), ), ), ) ], id="sideset", ), pytest.param( r"\sideset{^2}{_3}\sum", [ Node( token=r"\sideset", children=( Node( token="^", children=( Node( token=r"\vphantom", children=(Node(token=r"\sum", attributes={"movablelimits": "false"}),), ), Node(token="2"), ), ), Node( token="_", children=( Node(token=r"\sum", attributes={"movablelimits": "false"}), Node(token="3"), ), ), ), ) ], id="sideset-2", ), pytest.param( r"\root 3 \of x", [Node(token=r"\root", children=(Node(token="x"), Node(token="3")))], id="root-of" ), pytest.param( r"\root n+1 \of x + 2", [ Node( token=r"\root", children=( Node(token="x"), Node(token="{}", children=(Node(token="n"), Node(token="+"), Node(token="1"))), ), ), Node(token="+"), Node(token="2"), ], id="root-of-multiple", ), pytest.param( r"\root \of x", [Node(token=r"\root", children=(Node(token="x"), Node(token="{}", children=())))], id="root-of-without-root", ), pytest.param( r"\skew7\hat a\skew{8}\hat b", [ Node( token=r"\skew", children=(Node(token=r"\hat", children=(Node(token="a"),)),), attributes={"width": "0.389em"}, ), Node( token=r"\skew", children=(Node(token=r"\hat", children=(Node(token="b"),)),), attributes={"width": "0.444em"}, ), ], id="skew-hat", ), pytest.param(r"\xleftarrow x", [Node(token=r"\xleftarrow", children=(Node(token="x"),))], id="xleftarrow"), pytest.param( r"\xleftarrow[y] x", [Node(token=r"\xleftarrow", children=(Node(token="{}", children=(Node(token="y"),)), Node(token="x")))], id="xleftarrow-with-argument", ), pytest.param(r"\xrightarrow x", [Node(token=r"\xrightarrow", children=(Node(token="x"),))], id="xrightarrow"), pytest.param( r"\xrightarrow[y] x", [Node(token=r"\xrightarrow", children=(Node(token="{}", children=(Node(token="y"),)), Node(token="x")))], id="xrightarrow-with-argument", ), pytest.param( r"\not \in \not\ni \not a \not\equiv \not\operatorname{R}\not", [ Node(token=r"\nin"), Node(token=r"\nni"), Node(token=r"\not"), Node(token="a"), Node(token=r"\nequiv"), Node(token=r"\not"), Node(token=r"\operatorname{R}"), Node(token=r"\not"), ], id="not", ), ], ) def test_walk(latex: str, expected: list) -> None: assert walk(latex) == expected @pytest.mark.parametrize( "latex, exception", [ pytest.param(r"\right)", ExtraLeftOrMissingRightError, id=r"missing-\left"), pytest.param(r"\left(x", ExtraLeftOrMissingRightError, id=r"missing-\right"), pytest.param(r"\middle|", ExtraLeftOrMissingRightError, id=r"missing-\left"), pytest.param(r"{ \over 2}", NumeratorNotFoundError, id="fraction-without-numerator"), pytest.param(r"{1 \over }", DenominatorNotFoundError, id="fraction-without-denominator"), pytest.param(r"1_", MissingSuperScriptOrSubscriptError, id="missing-subscript"), pytest.param(r"1^", MissingSuperScriptOrSubscriptError, id="missing-superscript"), pytest.param(r"1_2_3", DoubleSubscriptsError, id="double-subscript"), pytest.param(r"1^2^3", DoubleSuperscriptsError, id="double-superscript"), pytest.param(r"\genfrac(){1pt}4ab", InvalidStyleForGenfracError, id="invalid-style-for-genfrac"), pytest.param(r"\begin{array}\end{array1}", MissingEndError, id="missing-end"), pytest.param(r"\begin{matrix*}[xxx]\end{matrix*}", InvalidAlignmentError, id="invalid-alignment"), pytest.param(r"\skew{}\hat b", InvalidWidthError, id="invalid-width"), pytest.param(r"\skew{X}\hat b", InvalidWidthError, id="invalid-width-not-number"), pytest.param(r"\limits^{\pi}", LimitsMustFollowMathOperatorError, id="limits-must-follow-math-operator-blank"), pytest.param(r"5\limits^{\pi}", LimitsMustFollowMathOperatorError, id="limits-must-follow-math-operator"), ], ) def test_error(latex: str, exception: Union[Tuple[Any, ...], Any]) -> None: with pytest.raises(exception): walk(latex)

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0

null

0

6

0d6a24d3c064aaf944fe7c1b8f0d0379139f7a37

38

py

Python

matrevy/people/decorators.py

matrevy/matrevy.dk

abaf6bc328adf55d522a5cf0c83092949a8f7a20

[ "MIT" ]

null

matrevy/people/decorators.py

matrevy/matrevy.dk

abaf6bc328adf55d522a5cf0c83092949a8f7a20

[ "MIT" ]

null

matrevy/people/decorators.py

matrevy/matrevy.dk

abaf6bc328adf55d522a5cf0c83092949a8f7a20

[ "MIT" ]

null

def access_required(): pass

7.6

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0.578947

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null

0

1

0

6

0de2e9d48b297bc2b7f4ac99703dc4abf09dcea5

33

py

Python

flit/buildapi.py

ksunden/flit

5ed24842e614af813bd67ecf6ee918961fbf0ac2

[ "BSD-3-Clause" ]

1,642

2015-03-26T18:22:25.000Z

2021-12-01T00:10:52.000Z

flit/buildapi.py

ksunden/flit

5ed24842e614af813bd67ecf6ee918961fbf0ac2

[ "BSD-3-Clause" ]

427

2015-03-16T20:22:17.000Z

2021-12-01T14:15:38.000Z

flit/buildapi.py

ksunden/flit

5ed24842e614af813bd67ecf6ee918961fbf0ac2

[ "BSD-3-Clause" ]

110

2015-03-28T02:50:28.000Z

2021-11-27T09:36:37.000Z

from flit_core.buildapi import *

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0deadcc874ba4eb04f81a37b0f0d015d49fabee6

46

py

Python

aiomatrix/dispatcher/handlers/__init__.py

Forden/aiomatrix

d258076bae8eb776495b92be46ee9f4baec8d9a6

[ "MIT" ]

2

2021-10-29T18:07:08.000Z

2021-11-19T00:25:43.000Z

aiomatrix/dispatcher/handlers/__init__.py

Forden/aiomatrix

d258076bae8eb776495b92be46ee9f4baec8d9a6

[ "MIT" ]

1

2022-03-06T11:17:43.000Z

aiomatrix/dispatcher/handlers/__init__.py

Forden/aiomatrix

d258076bae8eb776495b92be46ee9f4baec8d9a6

[ "MIT" ]

null

from .handler import Handler, HandlerCallback

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6

2185265c3f0c8b55a37b62d8792fcd1de74114d0

168

py

Python

tests/test_app.py

theia-jane/python-book-api

78e7be0462f3921f889e4847a0bb4737da295e82

[ "MIT" ]

null

tests/test_app.py

theia-jane/python-book-api

78e7be0462f3921f889e4847a0bb4737da295e82

[ "MIT" ]

8

2022-01-23T05:27:19.000Z

2022-01-28T06:13:21.000Z

tests/test_app.py

theia-jane/python-book-api

78e7be0462f3921f889e4847a0bb4737da295e82

[ "MIT" ]

null

import pytest def test_home(client): assert client.get("/").status_code == 200 def test_404(client): assert client.get("/does-not-exist").status_code == 404

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df0eeb44fa374eaae6ab36578b4375073329ed01

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py

Python

winevtrc/database.py

benstobbs/winevt-kb

816817592348a564f87c834e1265cf04b0cc2a47

[ "Apache-2.0" ]

9

2015-01-22T14:00:18.000Z

2022-01-08T06:20:17.000Z

winevtrc/database.py

benstobbs/winevt-kb

816817592348a564f87c834e1265cf04b0cc2a47

[ "Apache-2.0" ]

14

2015-01-29T17:09:34.000Z

2022-01-05T07:38:52.000Z

winevtrc/database.py

benstobbs/winevt-kb

816817592348a564f87c834e1265cf04b0cc2a47

[ "Apache-2.0" ]

4

2016-09-21T04:14:53.000Z

2021-09-28T09:35:15.000Z

# -*- coding: utf-8 -*- """Classes to read from and write to SQLite databases.""" import difflib import logging import re import sqlite3 from winevtrc import definitions from winevtrc import errors from winevtrc import resources class SQLite3DatabaseFile(object): """Class that defines a sqlite3 database file.""" _HAS_TABLE_QUERY = ( 'SELECT name FROM sqlite_master ' 'WHERE type = "table" AND name = "{0:s}"') def __init__(self): """Initializes the database file.""" super(SQLite3DatabaseFile, self).__init__() self._connection = None self._cursor = None self.filename = None self.read_only = None def _GetValues(self, cursor, table_names, column_names, condition): """Values generator function. Args: cursor (sqlite3.Cursor): SQLite database cursor. table_names (list[str]): table names. column_names (list[str]): column names. condition (str): condition. Yields: dict[str, object]: value. Raises: BackendError: if the database back-end raises an exception. """ if condition: condition = ' WHERE {0:s}'.format(condition) sql_query = 'SELECT {1:s} FROM {0:s}{2:s}'.format( ', '.join(table_names), ', '.join(column_names), condition) try: cursor.execute(sql_query) except sqlite3.OperationalError as exception: raise errors.BackendError(exception) for row in cursor: values = {} for column_index, column_name in enumerate(column_names): values[column_name] = row[column_index] yield values def Close(self): """Closes the database file. Raises: IOError: if the database is not opened. OSError: if the database is not opened. """ if not self._connection: raise IOError('Cannot close database not opened.') # We need to run commit or not all data is stored in the database. self._connection.commit() self._connection.close() self._connection = None self._cursor = None self.filename = None self.read_only = None def CreateTable(self, table_name, column_definitions): """Creates a table. Args: table_name (str): table name. column_definitions (list[str]): column definitions. Raises: BackendError: if the database back-end raises an exception. IOError: if the database is not opened or if the database is in read-only mode. OSError: if the database is not opened or if the database is in read-only mode. """ if not self._connection: raise IOError('Cannot create table database not opened.') if self.read_only: raise IOError('Cannot create table database in read-only mode.') sql_query = 'CREATE TABLE {0:s} ( {1:s} )'.format( table_name, ', '.join(column_definitions)) try: self._cursor.execute(sql_query) except sqlite3.OperationalError as exception: raise errors.BackendError(exception) def GetValues(self, table_names, column_names, condition): """Retrieves values from a table. Args: table_names (list[str]): table names. column_names (list[str]): column names. condition (str): condition. Returns: generator: values generator. Raises: IOError: if the database is not opened. OSError: if the database is not opened. """ if not self._connection: raise IOError('Cannot retrieve values database not opened.') return self._GetValues(self._cursor, table_names, column_names, condition) def HasTable(self, table_name): """Determines if a specific table exists. Args: table_name (str): table name. Returns: bool: True if the table exists, false otherwise. Raises: BackendError: if the database back-end raises an exception. IOError: if the database is not opened. OSError: if the database is not opened. """ if not self._connection: raise IOError('Cannot determine if table exists database not opened.') sql_query = self._HAS_TABLE_QUERY.format(table_name) try: self._cursor.execute(sql_query) has_table = bool(self._cursor.fetchone()) except sqlite3.OperationalError as exception: raise errors.BackendError(exception) return has_table def InsertValues(self, table_name, column_names, values): """Inserts values into a table. Args: table_name (str): table name. column_names (list[str]): column names. values (list[str]): values formatted as a string. Raises: BackendError: if the database back-end raises an exception. IOError: if the database is not opened or if the database is in read-only mode or if an unsupported value type is encountered. OSError: if the database is not opened or if the database is in read-only mode or if an unsupported value type is encountered. """ if not self._connection: raise IOError('Cannot insert values database not opened.') if self.read_only: raise IOError('Cannot insert values database in read-only mode.') if not values: return sql_values = [] for value in values: # TODO: handle bool. if isinstance(value, str): # In sqlite3 the double quote is escaped with a second double quote. value = '"{0:s}"'.format(re.sub('"', '""', value)) elif isinstance(value, int): value = '{0:d}'.format(value) elif isinstance(value, float): value = '{0:f}'.format(value) elif value is None: value = 'NULL' else: raise IOError('Unsupported value type: {0!s}.'.format(type(value))) sql_values.append(value) sql_query = 'INSERT INTO {0:s} ( {1:s} ) VALUES ( {2:s} )'.format( table_name, ', '.join(column_names), ', '.join(sql_values)) try: self._cursor.execute(sql_query) except sqlite3.OperationalError as exception: raise errors.BackendError(exception) def Open(self, filename, read_only=False): """Opens the database file. Args: filename (str): filename of the database. read_only (Optional[bool]): True if the database should be opened in read-only mode. Since sqlite3 does not support a real read-only mode we fake it by only permitting SELECT queries. Returns: bool: True if successful or False if not. Raises: BackendError: if the database back-end raises an exception. IOError: if the database is already opened. OSError: if the database is already opened. """ if self._connection: raise IOError('Cannot open database already opened.') self.filename = filename self.read_only = read_only self._connection = sqlite3.connect(filename) if not self._connection: return False try: self._cursor = self._connection.cursor() except sqlite3.OperationalError as exception: raise errors.BackendError(exception) if not self._cursor: return False return True class Sqlite3DatabaseReader(object): """Class to represent a sqlite3 database reader.""" def __init__(self): """Initializes the database reader.""" super(Sqlite3DatabaseReader, self).__init__() self._database_file = SQLite3DatabaseFile() def Close(self): """Closes the database reader.""" self._database_file.Close() def Open(self, filename): """Opens the database reader. Args: filename (str): filename of the database. Returns: bool: True if successful or False if not. """ return self._database_file.Open(filename, read_only=True) class Sqlite3DatabaseWriter(object): """Class to represent a sqlite3 database writer.""" def __init__(self): """Initializes the database writer.""" super(Sqlite3DatabaseWriter, self).__init__() self._database_file = SQLite3DatabaseFile() def Close(self): """Closes the database writer.""" self._database_file.Close() def Open(self, filename): """Opens the database writer. Args: filename (str): filename of the database. Returns: bool: True if successful or False if not. """ return self._database_file.Open(filename) class EventProvidersSqlite3DatabaseReader(Sqlite3DatabaseReader): """Class to represent an Event Log providers sqlite3 database reader.""" def _GetMessageFilenames(self, log_source, message_file_type): """Retrieves the message filenames of a specific Event Log provider. Args: log_source (str): source of the Event Log provider. message_file_type (str): message file type. Returns: list[str]: message filenames. """ table_names = [ 'event_log_providers', 'message_file_per_event_log_provider', 'message_files'] column_names = ['message_files.message_filename'] condition = ( '{0:s}.log_source == "{3:s}" AND ' '{1:s}.message_file_type == "{4:s}" AND ' '{0:s}.event_log_provider_key == {1:s}.event_log_provider_key AND ' '{1:s}.message_file_key == {2:s}.message_file_key').format( 'event_log_providers', 'message_file_per_event_log_provider', 'message_files', log_source, message_file_type) message_filenames = [] for values in self._database_file.GetValues( table_names, column_names, condition): message_filename = values['message_files.message_filename'] message_filenames.append(message_filename) return message_filenames def GetEventLogProviders(self): """Retrieves the Event Log providers. Yields: EventLogProvider: event log provider. """ table_names = ['event_log_providers'] column_names = ['log_source', 'log_type', 'provider_guid'] condition = '' event_log_providers = [] for values in self._database_file.GetValues( table_names, column_names, condition): event_log_provider = resources.EventLogProvider( values['log_type'], values['log_source'], values['provider_guid']) event_log_providers.append(event_log_provider) for event_log_provider in event_log_providers: message_filenames = self._GetMessageFilenames( event_log_provider.log_source, definitions.MESSAGE_FILE_TYPE_CATEGORY) event_log_provider.SetCategoryMessageFilenames(message_filenames) message_filenames = self._GetMessageFilenames( event_log_provider.log_source, definitions.MESSAGE_FILE_TYPE_EVENT) event_log_provider.SetEventMessageFilenames(message_filenames) message_filenames = self._GetMessageFilenames( event_log_provider.log_source, definitions.MESSAGE_FILE_TYPE_PARAMETER) event_log_provider.SetParameterMessageFilenames(message_filenames) yield event_log_provider def GetMessageFiles(self): """Retrieves the message filenames. Yields: tuple[str, str]: message filename and corresponding database filename. """ table_names = ['message_files'] column_names = ['message_filename', 'database_filename'] condition = '' for values in self._database_file.GetValues( table_names, column_names, condition): yield values['message_filename'], values['database_filename'] class EventProvidersSqlite3DatabaseWriter(Sqlite3DatabaseWriter): """Class to represent an Event Log providers sqlite3 database writer.""" def _GetEventLogProviderKey(self, event_log_provider): """Retrieves the key of an Event Log provider. Args: event_log_provider (EventLogProvider): event log provider. Returns: int: Event Log provider key or None if no such value. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_names = ['event_log_providers'] column_names = ['event_log_provider_key'] condition = 'log_source = "{0:s}" AND log_type = "{1:s}"'.format( event_log_provider.log_source, event_log_provider.log_type) values_list = list(self._database_file.GetValues( table_names, column_names, condition)) number_of_values = len(values_list) if number_of_values == 0: return None if number_of_values == 1: values = values_list[0] return values['event_log_provider_key'] raise IOError('More than one value found in database.') def _GetMessageFileKey(self, message_filename): """Retrieves the key of a message file. Args: message_filename (str): message filename. Returns: int: message file key or None if no such value. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_names = ['message_files'] column_names = ['message_file_key'] condition = 'LOWER(message_filename) = LOWER("{0:s}")'.format( message_filename) values_list = list(self._database_file.GetValues( table_names, column_names, condition)) number_of_values = len(values_list) if number_of_values == 0: return None if number_of_values == 1: values = values_list[0] return values['message_file_key'] raise IOError('More than one value found in database.') def WriteMessageFilesPerEventLogProvider( self, event_log_provider, message_filename, message_file_type): """Writes the message files used by an Event Log provider. Args: event_log_provider (EventLogProvider): event log provider. message_filename (str): message filename. message_file_type (str): message file type. """ table_name = 'message_file_per_event_log_provider' column_names = [ 'message_file_key', 'message_file_type', 'event_log_provider_key'] event_log_provider_key = self._GetEventLogProviderKey(event_log_provider) if event_log_provider_key is None: logging.warning('Missing event log provider key for: {0:s}'.format( event_log_provider.log_source)) message_file_key = self._GetMessageFileKey(message_filename) if message_file_key is None: logging.warning('Missing message file key for: {0:s}'.format( message_filename)) has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'message_file_key INTEGER', 'message_file_type TEXT', 'event_log_provider_key INTEGER'] self._database_file.CreateTable(table_name, column_definitions) insert_values = True else: condition = ( 'message_file_key = {0:d} AND message_file_type = "{1:s}" AND ' 'event_log_provider_key = {2:d}').format( message_file_key, message_file_type, event_log_provider_key) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) # TODO: check if more than 1 result. insert_values = number_of_values == 0 if insert_values: values = [message_file_key, message_file_type, event_log_provider_key] self._database_file.InsertValues(table_name, column_names, values) def WriteEventLogProvider(self, event_log_provider): """Writes the Event Log provider. Args: event_log_provider (EventLogProvider): event log provider. """ table_name = 'event_log_providers' column_names = ['log_source', 'log_type', 'provider_guid'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'event_log_provider_key INTEGER PRIMARY KEY AUTOINCREMENT', 'log_source TEXT', 'log_type TEXT', 'provider_guid TEXT'] self._database_file.CreateTable(table_name, column_definitions) insert_values = True else: condition = 'log_source = "{0:s}" AND log_type = "{1:s}"'.format( event_log_provider.log_source, event_log_provider.log_type) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) # TODO: check if more than 1 result. insert_values = number_of_values == 0 if insert_values: values = [ event_log_provider.log_source, event_log_provider.log_type, event_log_provider.provider_guid] self._database_file.InsertValues(table_name, column_names, values) def WriteMessageFile(self, message_filename, database_filename): """Writes the Windows Message Resource file. Args: message_filename (str): message filename. database_filename (str): database filename. """ table_name = 'message_files' column_names = ['message_filename', 'database_filename'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'message_file_key INTEGER PRIMARY KEY AUTOINCREMENT', 'message_filename TEXT', 'database_filename TEXT'] self._database_file.CreateTable(table_name, column_definitions) insert_values = True else: condition = 'LOWER(message_filename) = LOWER("{0:s}")'.format( message_filename) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) # TODO: check if more than 1 result. insert_values = number_of_values == 0 if insert_values: values = [message_filename, database_filename] self._database_file.InsertValues(table_name, column_names, values) class MessageFileSqlite3DatabaseReader(Sqlite3DatabaseReader): """Class to represent a message file sqlite3 database reader.""" def GetMessageTables(self): """Retrieves the message tables. Yields: tuple[int, str]: language code identifier (LCID) and the message file version. """ table_names = ['message_files', 'message_table_languages'] column_names = ['file_version', 'lcid', 'identifier'] condition = ( 'message_files.message_file_key = ' 'message_table_languages.message_file_key') for values in self._database_file.GetValues( table_names, column_names, condition): yield values['lcid'], values['file_version'] def GetMessages(self, lcid, file_version): """Retrieves the messages of a specific message table. Args: lcid (str): language code identifier (LCID). file_version (str): message file file version. Yields: tuple[int, str]: message identifier and message string. """ table_name = 'message_table_{0:s}'.format(lcid) if file_version: table_name = '{0:s}_{1:s}'.format(table_name, file_version) table_name = re.sub(r'\.', r'_', table_name) column_names = ['message_identifier', 'message_string'] condition = '' for values in self._database_file.GetValues( [table_name], column_names, condition): yield values['message_identifier'], values['message_string'] def GetStringTables(self): """Retrieves the string tables. Yields: tuple[int, str]: language code identifier (LCID) and the message file version. """ table_names = ['message_files', 'string_table_languages'] column_names = ['file_version', 'lcid', 'identifier'] condition = ( 'message_files.message_file_key = ' 'string_table_languages.message_file_key') for values in self._database_file.GetValues( table_names, column_names, condition): yield values['lcid'], values['file_version'] def GetStrings(self, lcid, file_version): """Retrieves the strings of a specific string table. Args: lcid (str): language code identifier (LCID). file_version (str): message file file version. Yields: tuple[int, str]: string identifier and string. """ table_name = 'string_table_{0:s}_{1:s}'.format( lcid, re.sub(r'\.', '_', file_version)) column_names = ['string_identifier', 'string'] condition = '' for values in self._database_file.GetValues( [table_name], column_names, condition): yield values['string_identifier'], values['string'] class MessageFileSqlite3DatabaseWriter(Sqlite3DatabaseWriter): """Class to represent a message file sqlite3 database writer.""" def __init__(self, message_resource_file): """Initializes the message file database writer. Args: message_resource_file (MessageResourceFile): message resource file. """ super(MessageFileSqlite3DatabaseWriter, self).__init__() self._message_resource_file = message_resource_file def _GetMessageFileKey(self, message_resource_file): """Retrieves the key of a message file. Args: message_resource_file (MessageResourceFile): message resource file. Returns: int: message file key or None if no such value. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_names = ['message_files'] column_names = ['message_file_key'] condition = 'LOWER(path) = LOWER("{0:s}")'.format( message_resource_file.windows_path) if message_resource_file.file_version: condition = '{0:s} AND file_version = "{1:s}"'.format( condition, message_resource_file.file_version) if message_resource_file.product_version: condition = '{0:s} AND product_version = "{1:s}"'.format( condition, message_resource_file.product_version) values_list = list(self._database_file.GetValues( table_names, column_names, condition)) number_of_values = len(values_list) if number_of_values == 0: return None if number_of_values == 1: values = values_list[0] return values['message_file_key'] raise IOError('More than one value found in database.') def _WriteMessage( self, message_resource_file, message_table, language_identifier, message_index, table_name, has_table): """Writes a message to a specific message table. Args: message_resource_file (MessageResourceFile): message resource file. message_table (pywrc.message_table): message table resource. language_identifier (int): language identifier (LCID). message_index (int): message index. table_name (str): name of the table. has_table (bool): True if the table previously existed in the database. """ column_names = ['message_identifier', 'message_string'] message_identifier = message_table.get_message_identifier( language_identifier, message_index) message_identifier = '0x{0:08x}'.format(message_identifier) message_string = message_table.get_string( language_identifier, message_index) if not has_table: insert_values = True else: condition = 'message_identifier = "{0:s}"'.format(message_identifier) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) if number_of_values == 1: values = values_list[0] if message_string != values['message_string']: differ = difflib.Differ() diff_list = list(differ.compare( [values['message_string']], [message_string])) logging.warning(( 'Message string mismatch for LCID: 0x{0:08x}, ' 'file version: {1:s}, message identifier: {2:s}.\n' '{3:s}\n').format( language_identifier, message_resource_file.file_version, message_identifier, '\n'.join(diff_list))) elif number_of_values != 0: logging.warning(( 'More than one message string found for LCID: 0x{0:08x}, ' 'file version: {1:s}, message identifier: {2:s}.').format( language_identifier, message_resource_file.file_version, message_identifier)) # TODO: warn if new message has been found. insert_values = False if insert_values: values = [message_identifier, message_string] self._database_file.InsertValues(table_name, column_names, values) def _WriteMessageFile(self, message_resource_file): """Writes a message file. Args: message_resource_file (MessageResourceFile): message resource file. """ table_name = 'message_files' column_names = ['path', 'file_version', 'product_version'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'message_file_key INTEGER PRIMARY KEY AUTOINCREMENT', 'path TEXT', 'file_version TEXT', 'product_version TEXT'] self._database_file.CreateTable(table_name, column_definitions) if not has_table: insert_values = True else: condition = 'LOWER(path) = LOWER("{0:s}")'.format( message_resource_file.windows_path) if message_resource_file.file_version: condition = '{0:s} AND file_version = "{1:s}"'.format( condition, message_resource_file.file_version) if message_resource_file.product_version: condition = '{0:s} AND product_version = "{1:s}"'.format( condition, message_resource_file.product_version) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) insert_values = number_of_values == 0 if insert_values: values = [ message_resource_file.windows_path, message_resource_file.file_version, message_resource_file.product_version] self._database_file.InsertValues(table_name, column_names, values) def _WriteMessageTable( self, message_resource_file, message_table, language_identifier): """Writes a message table for a specific language identifier. Args: message_resource_file (MessageResourceFile): message resource file. message_table (pywrc.message_table): message table resource. language_identifier (int): language identifier (LCID). """ number_of_messages = message_table.get_number_of_messages( language_identifier) if number_of_messages > 0: message_file_key = self._GetMessageFileKey(message_resource_file) if message_file_key is None: logging.warning('Missing message file key for: {0:s}'.format( message_resource_file.windows_path)) else: self._WriteMessageTableLanguage(message_file_key, language_identifier) table_name = 'message_table_0x{0:08x}'.format(language_identifier) if message_resource_file.file_version: table_name = '{0:s}_{1:s}'.format( table_name, message_resource_file.file_version) table_name = re.sub(r'\.', r'_', table_name) has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'message_identifier TEXT', 'message_string TEXT'] self._database_file.CreateTable(table_name, column_definitions) for message_index in range(0, number_of_messages): self._WriteMessage( message_resource_file, message_table, language_identifier, message_index, table_name, has_table) def _WriteMessageTableLanguage(self, message_file_key, language_identifier): """Writes a message table language. Args: message_file_key (int): message file key. language_identifier (int): language identifier (LCID). """ table_name = 'message_table_languages' column_names = ['lcid', 'message_file_key', 'identifier'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'lcid TEXT', 'message_file_key INT', 'identifier TEXT'] self._database_file.CreateTable(table_name, column_definitions) if not has_table: insert_values = True else: condition = 'lcid = "0x{0:08x}" AND message_file_key = "{1:d}"'.format( language_identifier, message_file_key) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) insert_values = number_of_values == 0 if insert_values: values = [ '0x{0:08x}'.format(language_identifier), message_file_key, definitions.LANGUAGES.get(language_identifier, ['', ''])[0]] self._database_file.InsertValues(table_name, column_names, values) def _WriteMessageTables(self): """Writes the message tables.""" message_table = self._message_resource_file.GetMessageTableResource() try: number_of_languages = message_table.get_number_of_languages() except IOError as exception: number_of_languages = 0 logging.warning(( 'Unable to retrieve number of languages from: {0:s} ' 'with error: {1:s}.').format(self._message_resource_file, exception)) if number_of_languages > 0: for language_identifier in message_table.language_identifiers: self._WriteMessageTable( self._message_resource_file, message_table, language_identifier) def _WriteString( self, message_resource_file, string_table, language_identifier, string_index, table_name, has_table): """Writes a string to a specific string table. Args: message_resource_file (MessageResourceFile): message resource file. string_table (pywrc.strings): string table. language_identifier (int): language identifier (LCID). string_index (int): string index. table_name (str): name of the table. has_table (bool): True if the table previously existed in the database. """ column_names = ['string_identifier', 'string'] string_identifier = string_table.get_string_identifier( language_identifier, string_index) string_identifier = '0x{0:08x}'.format(string_identifier) string = string_table.get_string(language_identifier, string_index) if not has_table: insert_values = True else: condition = 'string_identifier = "{0:s}"'.format(string_identifier) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) if number_of_values == 1: values = values_list[0] if string != values['string']: logging.warning(( 'String mismatch for LCID: 0x{0:08x}, ' 'file version: {1:s}, string identifier: {2:s}.\n' 'Found: {3:s}\nStored: {4:s}\n').format( language_identifier, message_resource_file.file_version, string_identifier, string, values['string'])) elif number_of_values != 0: logging.warning(( 'More than one string found for LCID: 0x{0:08x}, ' 'file version: {1:s}, string identifier: {2:s}.').format( language_identifier, message_resource_file.file_version, string_identifier)) # TODO: warn if new string has been found. insert_values = False if insert_values: values = [string_identifier, string] self._database_file.InsertValues(table_name, column_names, values) def _WriteStringTable( self, message_resource_file, string_table, language_identifier): """Writes a string table for a specific language identifier. Args: message_resource_file (MessageResourceFile): message resource file. string_table (pywrc.strings): string table. language_identifier (int): language identifier (LCID). """ number_of_strings = string_table.get_number_of_strings( language_identifier) if number_of_strings > 0: message_file_key = self._GetMessageFileKey(message_resource_file) if message_file_key is None: logging.warning('Missing message file key for: {0:s}'.format( message_resource_file.windows_path)) self._WriteStringTableLanguage(message_file_key, language_identifier) table_name = 'message_table_0x{0:08x}'.format(language_identifier) if message_resource_file.file_version: table_name = '{0:s}_{1:s}'.format( table_name, message_resource_file.file_version) table_name = re.sub(r'\.', r'_', table_name) has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = ['string_identifier TEXT', 'string TEXT'] self._database_file.CreateTable(table_name, column_definitions) for string_index in range(0, number_of_strings): self._WriteString( message_resource_file, string_table, language_identifier, string_index, table_name, has_table) def _WriteStringTableLanguage(self, message_file_key, language_identifier): """Writes a string table language. Args: message_file_key (int): message file key. language_identifier (int): language identifier (LCID). """ table_name = 'string_table_languages' column_names = ['lcid', 'message_file_key', 'identifier'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'lcid TEXT', 'message_file_key INT', 'identifier TEXT'] self._database_file.CreateTable(table_name, column_definitions) if not has_table: insert_values = True else: condition = 'lcid = "0x{0:08x}" AND message_file_key = "{1:d}"'.format( language_identifier, message_file_key) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) insert_values = number_of_values == 0 if insert_values: values = [ '0x{0:08x}'.format(language_identifier), message_file_key, definitions.LANGUAGES.get(language_identifier, ['', ''])[0]] self._database_file.InsertValues(table_name, column_names, values) def _WriteStringTables(self): """Writes the string tables.""" string_table = self._message_resource_file.GetStringResource() if not string_table: return try: number_of_languages = string_table.get_number_of_languages() except IOError as exception: number_of_languages = 0 logging.warning(( 'Unable to retrieve number of languages from: {0:s} ' 'with error: {1:s}.').format(self._message_resource_file, exception)) if number_of_languages > 0: for language_identifier in string_table.language_identifiers: self._WriteStringTable( self._message_resource_file, string_table, language_identifier) def WriteResources(self): """Writes the resources.""" self._WriteMessageFile(self._message_resource_file) self._WriteMessageTables() # TODO: only write the string resources of Event Log parameter files. # self._WriteStringTables() class ResourcesSqlite3DatabaseReader(Sqlite3DatabaseReader): """Class to represent an Event Log resources sqlite3 database reader.""" def _GetEventLogProviderKey(self, log_source): """Retrieves the Event Log provider key. Args: log_source (str): Event Log source. Returns: int: an Event Log provider key or None if not available. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_names = ['event_log_providers'] column_names = ['event_log_provider_key'] condition = 'log_source == "{0:s}"'.format(log_source) values_list = list(self._database_file.GetValues( table_names, column_names, condition)) number_of_values = len(values_list) if number_of_values == 0: return None if number_of_values == 1: values = values_list[0] return values['event_log_provider_key'] raise IOError('More than one value found in database.') def _GetMessage(self, message_file_key, lcid, message_identifier): """Retrieves a specific message from a specific message table. Args: message_file_key (int): message file key. lcid (int): language code identifier (LCID). message_identifier (int): message identifier. Returns: str: the message string or None if not available. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_name = 'message_table_{0:d}_0x{1:08x}'.format(message_file_key, lcid) has_table = self._database_file.HasTable(table_name) if not has_table: return None column_names = ['message_string'] condition = 'message_identifier == "0x{0:08x}"'.format(message_identifier) values = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values) if number_of_values == 0: return None if number_of_values == 1: return values[0]['message_string'] raise IOError('More than one value found in database.') def _GetMessageFileKeys(self, event_log_provider_key): """Retrieves the message file keys. Args: event_log_provider_key (int): the Event Log provider key. Yields: int: a message file key. """ table_names = ['message_file_per_event_log_provider'] column_names = ['message_file_key'] condition = 'event_log_provider_key == {0:d}'.format( event_log_provider_key) generator = self._database_file.GetValues( table_names, column_names, condition) # pylint: disable=not-an-iterable for values in generator: yield values['message_file_key'] def _GetMessageFilenames(self, log_source, message_file_type): """Retrieves the message filenames of a specific Event Log provider. Args: log_source (str): Event Log source. message_file_type (str): message file type. Returns: list[str]: message filenames. """ table_names = [ 'event_log_providers', 'message_file_per_event_log_provider', 'message_files'] column_names = ['message_files.path'] condition = ( '{0:s}.log_source == "{3:s}" AND ' '{1:s}.message_file_type == "{4:s}" AND ' '{0:s}.event_log_provider_key == {1:s}.event_log_provider_key AND ' '{1:s}.message_file_key == {2:s}.message_file_key').format( 'event_log_providers', 'message_file_per_event_log_provider', 'message_files', log_source, message_file_type) message_filenames = [] for values in self._database_file.GetValues( table_names, column_names, condition): message_filename = values['message_files.path'] message_filenames.append(message_filename) return message_filenames def _GetMessages(self, message_file_key, lcid): """Retrieves the messages of a specific message table. Args: message_file_key (int): message file key. lcid (int): language code identifier (LCID). Yields: tuple[int, str]: message identifier and message string. """ table_name = 'message_table_{0:d}_0x{1:08x}'.format(message_file_key, lcid) has_table = self._database_file.HasTable(table_name) if has_table: column_names = ['message_identifier', 'message_string'] condition = '' for values in self._database_file.GetValues( [table_name], column_names, condition): yield values['message_identifier'], values['message_string'] def GetEventLogProviders(self): """Retrieves the Event Log providers. Yields: EventLogProvider: an Event Log provider. """ table_names = ['event_log_providers'] column_names = ['log_source', 'provider_guid'] condition = '' event_log_providers = [] for values in self._database_file.GetValues( table_names, column_names, condition): event_log_provider = resources.EventLogProvider( None, values['log_source'], values['provider_guid']) event_log_providers.append(event_log_provider) for event_log_provider in event_log_providers: message_filenames = self._GetMessageFilenames( event_log_provider.log_source, definitions.MESSAGE_FILE_TYPE_CATEGORY) event_log_provider.SetCategoryMessageFilenames(message_filenames) message_filenames = self._GetMessageFilenames( event_log_provider.log_source, definitions.MESSAGE_FILE_TYPE_EVENT) event_log_provider.SetEventMessageFilenames(message_filenames) message_filenames = self._GetMessageFilenames( event_log_provider.log_source, definitions.MESSAGE_FILE_TYPE_PARAMETER) event_log_provider.SetParameterMessageFilenames(message_filenames) yield event_log_provider def GetMessage(self, log_source, lcid, message_identifier): """Retrieves a specific message for a specific Event Log source. Args: log_source (str): Event Log source. lcid (int): language code identifier (LCID). message_identifier (int): message identifier. Returns: str: the message string or None if not available. """ event_log_provider_key = self._GetEventLogProviderKey(log_source) if not event_log_provider_key: return None generator = self._GetMessageFileKeys(event_log_provider_key) if not generator: return None message_string = None for message_file_key in generator: message_string = self._GetMessage( message_file_key, lcid, message_identifier) if message_string: break return message_string def GetMessages(self, log_source, lcid): """Retrieves the messages of a specific Event Log source. Args: log_source (str): Event Log source. lcid (int): language code identifier (LCID). Yields: tuple[int, str]: message identifier and message string. """ event_log_provider_key = self._GetEventLogProviderKey(log_source) if event_log_provider_key: for message_file_key in self._GetMessageFileKeys(event_log_provider_key): for message_identifier, message_string in self._GetMessages( message_file_key, lcid): yield message_identifier, message_string def GetMetadataAttribute(self, attribute_name): """Retrieves the metadata attribute. Args: attribute_name (str): name of the metadata attribute. Returns: str: value of the metadata attribute or None. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_name = 'metadata' has_table = self._database_file.HasTable(table_name) if not has_table: return None column_names = ['value'] condition = 'name == "{0:s}"'.format(attribute_name) values = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values) if number_of_values == 0: return None if number_of_values == 1: return values[0]['value'] raise IOError('More than one value found in database.') class ResourcesSqlite3DatabaseWriter(Sqlite3DatabaseWriter): """Class to represent a sqlite3 Event Log resources database writer.""" # Message string specifiers that are considered white space. _WHITE_SPACE_SPECIFIER_RE = re.compile(r'(%[0b]|[\r\n])') # Message string specifiers that expand to text. _TEXT_SPECIFIER_RE = re.compile(r'%([ .!%nrt])') # Curly brackets in a message string. _CURLY_BRACKETS = re.compile(r'([\{\}])') # Message string specifiers that expand to a variable place holder. _PLACE_HOLDER_SPECIFIER_RE = re.compile(r'%([1-9][0-9]?)[!]?[s]?[!]?') def __init__(self, string_format='wrc'): """Initializes the database writer. Args: string_format (Optional[str]): string format. The default is the Windows Resource (wrc) format. """ super(ResourcesSqlite3DatabaseWriter, self).__init__() self._string_format = string_format def _GetEventLogProviderKey(self, event_log_provider): """Retrieves the key of an Event Log provider. Args: event_log_provider (EventLogProvider): event log provider. Returns: int: the Event Log provider key or None if no such value. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_names = ['event_log_providers'] column_names = ['event_log_provider_key'] condition = 'log_source = "{0:s}"'.format( event_log_provider.log_source) values_list = list(self._database_file.GetValues( table_names, column_names, condition)) number_of_values = len(values_list) if number_of_values == 0: return None if number_of_values == 1: values = values_list[0] return values['event_log_provider_key'] raise IOError('More than one value found in database.') def _GetMessageFileKey(self, message_file): """Retrieves the key of a message file. Args: message_file (MessageFile): message file. Returns: int: the message file key or None if no such value. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_names = ['message_files'] column_names = ['message_file_key'] condition = 'LOWER(path) = LOWER("{0:s}")'.format( message_file.windows_path) values_list = list(self._database_file.GetValues( table_names, column_names, condition)) number_of_values = len(values_list) if number_of_values == 0: return None if number_of_values == 1: values = values_list[0] return values['message_file_key'] raise IOError('More than one value found in database.') def _GetMessageFileKeyByPath(self, message_filename): """Retrieves the key of a message file for a specific path. Args: message_filename (str): message filename. Returns: int: the message file key or None if no such value. Raises: IOError: if more than one value is found in the database. OSError: if more than one value is found in the database. """ table_names = ['message_files'] column_names = ['message_file_key'] condition = 'LOWER(path) = LOWER("{0:s}")'.format(message_filename) values_list = list(self._database_file.GetValues( table_names, column_names, condition)) number_of_values = len(values_list) if number_of_values == 0: return None if number_of_values == 1: values = values_list[0] return values['message_file_key'] raise IOError('More than one value found in database.') def _ReformatMessageString(self, message_string): """Reformats the message string. Args: message_string (str): message string. Returns: str: message string in Python format() (PEP 3103) style or None if not available. """ def PlaceHolderSpecifierReplacer(match_object): """Replaces message string place holders into Python format() style.""" expanded_groups = [] for group in match_object.groups(): try: place_holder_number = int(group, 10) - 1 expanded_group = '{{{0:d}:s}}'.format(place_holder_number) except ValueError: expanded_group = group expanded_groups.append(expanded_group) return ''.join(expanded_groups) if not message_string: return None message_string = self._WHITE_SPACE_SPECIFIER_RE.sub(r'', message_string) message_string = self._TEXT_SPECIFIER_RE.sub(r'\\\1', message_string) message_string = self._CURLY_BRACKETS.sub(r'\1\1', message_string) return self._PLACE_HOLDER_SPECIFIER_RE.sub( PlaceHolderSpecifierReplacer, message_string) def _WriteMessage( self, message_file, language_identifier, message_identifier, message_string, table_name, has_table): """Writes a message to a specific message table. Args: message_file (MessageFile): message file. language_identifier (int): language identifier (LCID). message_identifier (int): message identifier. message_string (str): message string. table_name (str): name of the table. has_table (bool): True if the table previously existed in the database. """ column_names = ['message_identifier', 'message_string'] if not has_table: insert_values = True else: condition = 'message_identifier = "{0:s}"'.format(message_identifier) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) if number_of_values == 1: values = values_list[0] if message_string != values['message_string']: logging.warning(( 'Message string mismatch for LCID: {0:s}, ' 'file version: {1:s}, message identifier: {2:s}.\n' 'Found: {3:s}\nStored: {4:s}\n').format( language_identifier, message_file.file_version, message_identifier, message_string, values['message_string'])) elif number_of_values != 0: logging.warning(( 'More than one message string found for LCID: {0:s}, ' 'file version: {1:s}, message identifier: {2:s}.').format( language_identifier, message_file.file_version, message_identifier)) # TODO: warn if new message has been found. insert_values = False if insert_values: if self._string_format == 'pep3101': message_string = self._ReformatMessageString(message_string) values = [message_identifier, message_string] self._database_file.InsertValues(table_name, column_names, values) def _WriteMessageFile(self, message_file): """Writes a message file. Args: message_file (MessageFile): message file. """ table_name = 'message_files' column_names = ['path'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'message_file_key INTEGER PRIMARY KEY AUTOINCREMENT', 'path TEXT'] self._database_file.CreateTable(table_name, column_definitions) if not has_table: insert_values = True else: condition = 'LOWER(path) = LOWER("{0:s}")'.format( message_file.windows_path) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) insert_values = number_of_values == 0 if insert_values: values = [message_file.windows_path] self._database_file.InsertValues(table_name, column_names, values) def _WriteMessageTable(self, message_file, message_table): """Writes a message table for a specific language identifier. Args: message_file (MessageFile): message file. message_table (MessageTable): message table. """ if message_table.message_strings: message_file_key = self._GetMessageFileKey(message_file) if message_file_key is None: logging.warning('Missing message file key for: {0:s}'.format( message_file.windows_path)) table_name = 'message_table_{0:d}_{1:s}'.format( message_file_key, message_table.lcid) has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'message_identifier TEXT', 'message_string TEXT'] self._database_file.CreateTable(table_name, column_definitions) message_strings = message_table.message_strings for message_identifier, message_string in message_strings.items(): self._WriteMessage( message_file, message_table.lcid, message_identifier, message_string, table_name, has_table) self._WriteMessageTableLanguage(message_file_key, message_table.lcid) def _WriteMessageTableLanguage(self, message_file_key, language_identifier): """Writes a message table language. Args: message_file_key (int): message file key. language_identifier (int): language identifier (LCID). """ table_name = 'message_table_languages' column_names = ['lcid', 'message_file_key'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = ['lcid TEXT', 'message_file_key INT'] self._database_file.CreateTable(table_name, column_definitions) if not has_table: insert_values = True else: condition = 'lcid = "{0:s}" AND message_file_key = "{1:d}"'.format( language_identifier, message_file_key) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) insert_values = number_of_values == 0 if insert_values: values = [language_identifier, message_file_key] self._database_file.InsertValues(table_name, column_names, values) def WriteEventLogProvider(self, event_log_provider): """Writes the Event Log provider. Args: event_log_provider (EventLogProvider): event log provider. """ table_name = 'event_log_providers' column_names = ['log_source', 'provider_guid'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'event_log_provider_key INTEGER PRIMARY KEY AUTOINCREMENT', 'log_source TEXT', 'provider_guid TEXT'] self._database_file.CreateTable(table_name, column_definitions) insert_values = True else: condition = 'log_source = "{0:s}"'.format(event_log_provider.log_source) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) # TODO: check if more than 1 result. insert_values = number_of_values == 0 if insert_values: values = [ event_log_provider.log_source, event_log_provider.provider_guid] self._database_file.InsertValues(table_name, column_names, values) def WriteMessageFile(self, message_file): """Writes the Windows Message Resource file. Args: message_file (MessageFile): message file. """ self._WriteMessageFile(message_file) for message_table in message_file.GetMessageTables(): # TODO track the languages in a table. self._WriteMessageTable(message_file, message_table) def WriteMessageFilesPerEventLogProvider( self, event_log_provider, message_filename, message_file_type): """Writes the message files used by an Event Log provider. Args: event_log_provider (EventLogProvider): event log provider. message_filename (str): message filename. message_file_type (str): message file type. """ table_name = 'message_file_per_event_log_provider' column_names = [ 'message_file_key', 'message_file_type', 'event_log_provider_key'] event_log_provider_key = self._GetEventLogProviderKey(event_log_provider) if event_log_provider_key is None: logging.warning('Missing event log provider key for: {0:s}'.format( event_log_provider.log_source)) message_file_key = self._GetMessageFileKeyByPath(message_filename) if message_file_key is None: logging.warning('Missing message file key for: {0:s}'.format( message_filename)) has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = [ 'message_file_key INTEGER', 'message_file_type TEXT', 'event_log_provider_key INTEGER'] self._database_file.CreateTable(table_name, column_definitions) insert_values = True else: condition = ( 'message_file_key = {0:d} AND message_file_type = "{1:s}" AND ' 'event_log_provider_key = {2:d}').format( message_file_key, message_file_type, event_log_provider_key) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) # TODO: check if more than 1 result. insert_values = number_of_values == 0 if insert_values: values = [message_file_key, message_file_type, event_log_provider_key] self._database_file.InsertValues(table_name, column_names, values) def WriteMetadataAttribute(self, attribute_name, attribute_value): """Writes a metadata attribute. Args: attribute_name (str): name of the metadata attribute. attribute_value (str): value of the metadata attribute. """ table_name = 'metadata' column_names = ['name', 'value'] has_table = self._database_file.HasTable(table_name) if not has_table: column_definitions = ['name TEXT', 'value TEXT'] self._database_file.CreateTable(table_name, column_definitions) insert_values = True else: condition = 'name = "{0:s}"'.format(attribute_name) values_list = list(self._database_file.GetValues( [table_name], column_names, condition)) number_of_values = len(values_list) # TODO: check if more than 1 result. insert_values = number_of_values == 0 if insert_values: values = [attribute_name, attribute_value] self._database_file.InsertValues(table_name, column_names, values)

34.176471

79

0.687877

7,018

57,519

5.354802

0.045882

0.049761

0.048536

0.02174

0.821181

0.791166

0.760245

0.743135

0.721794

0.685471

0

0.006588

0.218902

57,519

1,682

80

34.19679

0.829861

0.228672

0

0.686339

0

0.001093

0.158272

0.031814

0

0.007134

0

1

0.066667

false

0

0.00765

0

0.130055

0

null

0

1

0

null

0

6

df8ff6307f4e7b5eadb02e4fb8c766073b666241

21

py

Python

__init__.py

acutkosky/freerex

58f188db7da6e1cb3224f768e76b944b99d8c5c1

[ "MIT" ]

4

2017-08-27T11:54:05.000Z

2021-02-04T14:23:35.000Z

__init__.py

acutkosky/freerex

58f188db7da6e1cb3224f768e76b944b99d8c5c1

[ "MIT" ]

null

__init__.py

acutkosky/freerex

58f188db7da6e1cb3224f768e76b944b99d8c5c1

[ "MIT" ]

3

2018-02-04T19:50:05.000Z

2021-02-04T14:23:37.000Z

from freerex import *

21

0.809524

3

21

5.666667

1

0

0.142857

21

1

21

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

10d007a43d3b2a438346d3b7df8b3d4debd8c562

4,515

py

Python

multigraph/features.py

kayoyin/scr

a2193817b4833da339d32d0b1a502e13998a736a

[ "BSD-3-Clause" ]

1

2021-10-08T08:56:20.000Z

multigraph/features.py

kayoyin/scr

a2193817b4833da339d32d0b1a502e13998a736a

[ "BSD-3-Clause" ]

null

multigraph/features.py

kayoyin/scr

a2193817b4833da339d32d0b1a502e13998a736a

[ "BSD-3-Clause" ]

1

2022-01-27T07:01:29.000Z

import re import numpy as np I_SIGNS = ["I1","I2"] YOU_SIGNS = ["YOU", "YOU1"] INDEX_SIGNS = ["INDEX1", "INDEX2", "INDEX4", "INDEX-AREA", "INDEX-ORAL"] dist_threshold = 50 def normalize(gloss): return gloss.strip("$^*") def dist(loc1, loc2): a,b = loc1 x,y = loc2 return np.sqrt((a-x)**2 + (b-y)**2) # Multigraph features def me_or_you(anaphor, antecedent): anaphor_gloss = normalize(anaphor.attributes["tokens"][0]) anaphor_signer = anaphor.attributes["speaker"][0] antecedent_gloss = normalize(antecedent.attributes["tokens"][0]) antecedent_signer = antecedent.attributes["speaker"][0] if anaphor_signer == antecedent_signer: if (anaphor_gloss in YOU_SIGNS and antecedent_gloss in YOU_SIGNS) or (anaphor_gloss in I_SIGNS and antecedent_gloss in I_SIGNS): return 0.5 else: if (anaphor_gloss in YOU_SIGNS and antecedent_gloss in I_SIGNS) or (anaphor_gloss in I_SIGNS and antecedent_gloss in YOU_SIGNS): return 0.5 return 0 def not_me_or_you(anaphor, antecedent): anaphor_gloss = normalize(anaphor.attributes["tokens"][0]) anaphor_signer = anaphor.attributes["speaker"][0] antecedent_gloss = normalize(antecedent.attributes["tokens"][0]) antecedent_signer = antecedent.attributes["speaker"][0] if anaphor_signer == antecedent_signer: if (anaphor_gloss in YOU_SIGNS and antecedent_gloss in I_SIGNS) or (anaphor_gloss in I_SIGNS and antecedent_gloss in YOU_SIGNS): return -np.inf else: if (anaphor_gloss in YOU_SIGNS and antecedent_gloss in YOU_SIGNS) or (anaphor_gloss in I_SIGNS and antecedent_gloss in I_SIGNS): return -np.inf return 0 def spatially_close(anaphor, antecedent): if (anaphor.span.begin - antecedent.span.end) < 100 and anaphor.attributes["speaker"][0] == antecedent.attributes["speaker"][0] and normalize(anaphor.attributes["tokens"][0]) in INDEX_SIGNS and normalize(antecedent.attributes["tokens"][0]) in INDEX_SIGNS: distance = min(dist(anaphor.attributes["mcp"][0], antecedent.attributes["mcp"][0]), dist(anaphor.attributes["tip"][0], antecedent.attributes["tip"][0])) return max(0, 0.5 + (50 - distance) / 50) return 0 def prev_ante_is_noun(anaphor, antecedent): antecedent_gloss = normalize(antecedent.attributes["tokens"][0]) if anaphor.attributes["speaker"][0] == antecedent.attributes["speaker"][0] and antecedent.span.end == anaphor.span.begin - 1 and normalize(anaphor.attributes["tokens"][0]) in INDEX_SIGNS and not antecedent_gloss.startswith("TO-") and not antecedent_gloss.startswith("GEST-") and antecedent_gloss not in INDEX_SIGNS: return 0.5 return 0 def third_person(anaphor, antecedent): anaphor_gloss = normalize(anaphor.attributes["tokens"][0]) antecedent_gloss = normalize(antecedent.attributes["tokens"][0]) if (anaphor_gloss in INDEX_SIGNS and antecedent_gloss in I_SIGNS + YOU_SIGNS) or (antecedent_gloss in INDEX_SIGNS and anaphor_gloss in I_SIGNS + YOU_SIGNS): return -np.inf return 0 def spatially_far(anaphor, antecedent): if normalize(anaphor.attributes["tokens"][0]) in INDEX_SIGNS and normalize(antecedent.attributes["tokens"][0]) in INDEX_SIGNS: distance = min(dist(anaphor.attributes["mcp"][0], antecedent.attributes["mcp"][0]), dist(anaphor.attributes["tip"][0], antecedent.attributes["tip"][0])) if distance > 100: return -np.inf return 0 # Baseline features def base_me_or_you(anaphor, antecedent): anaphor_gloss = normalize(anaphor.attributes["tokens"][0]) anaphor_signer = anaphor.attributes["speaker"][0] antecedent_gloss = normalize(antecedent.attributes["tokens"][0]) antecedent_signer = antecedent.attributes["speaker"][0] if anaphor_signer == antecedent_signer: if (anaphor_gloss in YOU_SIGNS and antecedent_gloss in YOU_SIGNS) or (anaphor_gloss in I_SIGNS and antecedent_gloss in I_SIGNS): return np.inf else: if (anaphor_gloss in YOU_SIGNS and antecedent_gloss in I_SIGNS) or (anaphor_gloss in I_SIGNS and antecedent_gloss in YOU_SIGNS): return np.inf return 0 def temporally_close(anaphor, antecedent): if (anaphor.span.begin - antecedent.span.end) < 100 and anaphor.attributes["speaker"][0] == antecedent.attributes["speaker"][0] and normalize(antecedent.attributes["tokens"][0]) in INDEX_SIGNS and normalize(anaphor.attributes["tokens"][0]) in INDEX_SIGNS: return np.inf return 0

46.071429

320

0.714729

621

4,515

5.020934

0.122383

0.062861

0.087235

0.058371

0.859846

0.822643

0.810135

0.788967

0.767479

0.665491

0

0.021497

0.165449

4,515

97

321

46.546392

0.805998

0.008195

0

0.635135

0

0.059021

0

1

0.135135

false

0

0.027027

0.013514

0.445946

0

null

0

1

0

null

0

6

10d984760586ff43346456ef9dfb911d05efbc36

32

py

Python

bronze/5/14928.py

darkapplepower/baekjoon

4148e8e205f33c07570e52fef123f9a73014fbdb

[ "WTFPL" ]

1

2022-03-06T03:51:06.000Z

bronze/5/14928.py

darkapplepower/baekjoon

4148e8e205f33c07570e52fef123f9a73014fbdb

[ "WTFPL" ]

null

bronze/5/14928.py

darkapplepower/baekjoon

4148e8e205f33c07570e52fef123f9a73014fbdb

[ "WTFPL" ]

null

a=int(input()) print(a%20000303)

16

17

0.71875

6

32

3.833333

0.833333

0

0.258065

0.03125

32

2

17

16

0.483871

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

1

0

null

0

1

0

6

10de49d39d0cc08cf6c08caefa71608b618479c7

9,677

py

Python

test/test_integration_cli_ecs.py

mergermarket/cdflow-commands

d1665e668428985ec6759f8aa59580d363701bc5

[ "MIT" ]

null

test/test_integration_cli_ecs.py

mergermarket/cdflow-commands

d1665e668428985ec6759f8aa59580d363701bc5

[ "MIT" ]

1,626

2017-03-09T23:41:30.000Z

2022-03-31T06:15:27.000Z

test/test_integration_cli_ecs.py

mergermarket/cdflow-commands

d1665e668428985ec6759f8aa59580d363701bc5

[ "MIT" ]

3

2017-03-22T17:06:26.000Z

2020-10-15T09:43:29.000Z

import json import unittest from datetime import datetime from io import TextIOWrapper from cdflow_commands import cli from mock import MagicMock, Mock, mock_open, patch import yaml @patch('cdflow_commands.release._copy_platform_config') @patch('cdflow_commands.cli.check_output') @patch('cdflow_commands.release.os') @patch('cdflow_commands.release.copytree') @patch('cdflow_commands.release.check_call') @patch('cdflow_commands.release.make_archive') @patch('cdflow_commands.release.open', new_callable=mock_open, create=True) @patch('cdflow_commands.cli.os') @patch('cdflow_commands.cli.rmtree') @patch('cdflow_commands.cli.Session') @patch('cdflow_commands.config.Session') @patch('cdflow_commands.config.open', new_callable=mock_open, create=True) @patch('cdflow_commands.config.check_output') @patch('cdflow_commands.plugins.ecs.check_call') class TestReleaseCLI(unittest.TestCase): def test_release_is_configured_and_created( self, check_call, check_output, mock_open, Session_from_config, Session_from_cli, rmtree, mock_os, mock_open_release, make_archive, check_call_release, copytree, mock_os_release, check_output_cli, _ ): mock_metadata_file = MagicMock(spec=TextIOWrapper) metadata = { 'account-scheme-url': 's3://bucket/key', 'team': 'your-team', 'type': 'docker', } mock_metadata_file.read.return_value = yaml.dump(metadata) mock_open.return_value.__enter__.return_value = mock_metadata_file mock_root_session = Mock() mock_root_session.region_name = 'us-east-1' Session_from_cli.return_value = mock_root_session mock_s3_body = Mock() mock_s3_body.read.return_value = json.dumps({ 'accounts': { 'foodev': { 'id': '123456789', 'role': 'admin', } }, 'release-account': 'foodev', 'release-bucket': 'releases', 'default-region': 'us-north-4', 'environments': { 'live': 'foodev', }, 'terraform-backend-s3-bucket': 'tfstate-bucket', 'terraform-backend-s3-dynamodb-table': 'tflocks-table', 'classic-metadata-handling': True, }) mock_s3_resource = Mock() mock_s3_resource.Object.return_value.get.return_value = { 'Body': mock_s3_body, } mock_root_session.resource.return_value = mock_s3_resource mock_ecr_client = Mock() mock_ecr_client.get_authorization_token.return_value = { 'authorizationData': [ { 'authorizationToken': 'dXNlcm5hbWU6cGFzc3dvcmQ=', 'proxyEndpoint': 'dummy-endpoint' } ] } mock_session = Mock() mock_session.client.return_value = mock_ecr_client Session_from_config.return_value = mock_session mock_sts = Mock() user_id = 'foo' mock_sts.get_caller_identity.return_value = { u'UserId': user_id, 'Arn': 'dummy_arn' } mock_sts.assume_role.return_value = { 'Credentials': { 'AccessKeyId': 'dummy-access-key-id', 'SecretAccessKey': 'dummy-secret-access-key', 'SessionToken': 'dummy-session-token', 'Expiration': datetime(2015, 1, 1) }, 'AssumedRoleUser': { 'AssumedRoleId': 'dummy-assumed-role-id', 'Arn': 'dummy-arn' }, 'PackedPolicySize': 123 } mock_root_session.client.return_value = mock_sts mock_release_file = MagicMock(spec=TextIOWrapper) mock_open_release.return_value.__enter__.return_value = \ mock_release_file component_name = 'dummy-component' version = '1.2.3' make_archive.return_value = '/tmp/tmpvyzXQB/{}-{}.zip'.format( component_name, version ) mock_os_release.environ = {'CDFLOW_IMAGE_DIGEST': 'hash'} check_output_cli.return_value = 'hash\n'.encode('utf-8') image_name = '{}.dkr.ecr.{}.amazonaws.com/{}:{}'.format( 123456789, 'us-north-4', component_name, version ) cli.run([ 'release', '--platform-config', 'path/to/config', version, '-c', component_name ]) check_output_cli.assert_called_once_with(['git', 'rev-parse', 'HEAD']) mock_sts.assume_role.assert_called_once_with( DurationSeconds=14400, RoleArn='arn:aws:iam::123456789:role/admin', RoleSessionName=user_id, ) check_call.assert_any_call([ 'docker', 'build', '-t', image_name, '.' ]) check_call.assert_any_call(['docker', 'push', image_name]) mock_session.resource.return_value.Object.assert_called_once_with( 'releases', '{}/{}-{}.zip'.format(component_name, component_name, version) ) mock_session.resource.return_value.Object.return_value\ .upload_file.assert_called_once_with( make_archive.return_value, ExtraArgs={'Metadata': {'cdflow_image_digest': 'hash'}}, ) def test_release_uses_component_name_from_origin( self, check_call, check_output, mock_open, Session_from_config, Session_from_cli, rmtree, mock_os, mock_open_release, make_archive, check_call_release, copytree, mock_os_release, check_output_cli, _ ): mock_metadata_file = MagicMock(spec=TextIOWrapper) metadata = { 'account-scheme-url': 's3://bucket/key', 'team': 'your-team', 'type': 'docker', } mock_metadata_file.read.return_value = yaml.dump(metadata) mock_open.return_value.__enter__.return_value = mock_metadata_file mock_root_session = Mock() mock_root_session.region_name = 'us-east-1' Session_from_cli.return_value = mock_root_session mock_s3_body = Mock() mock_s3_body.read.return_value = json.dumps({ 'accounts': { 'foodev': { 'id': '123456789', 'role': 'admin', } }, 'release-account': 'foodev', 'release-bucket': 'releases', 'default-region': 'us-north-4', 'environments': { 'live': 'foodev', }, 'terraform-backend-s3-bucket': 'tfstate-bucket', 'terraform-backend-s3-dynamodb-table': 'tflocks-table', 'classic-metadata-handling': True, }) mock_s3_resource = Mock() mock_s3_resource.Object.return_value.get.return_value = { 'Body': mock_s3_body, } mock_root_session.resource.return_value = mock_s3_resource mock_ecr_client = Mock() mock_ecr_client.get_authorization_token.return_value = { 'authorizationData': [ { 'authorizationToken': 'dXNlcm5hbWU6cGFzc3dvcmQ=', 'proxyEndpoint': 'dummy-endpoint' } ] } mock_session = Mock() mock_session.client.return_value = mock_ecr_client Session_from_config.return_value = mock_session mock_sts = Mock() mock_sts.get_caller_identity.return_value = { u'UserId': 'foo', 'Arn': 'dummy_arn' } mock_sts.assume_role.return_value = { 'Credentials': { 'AccessKeyId': 'dummy-access-key-id', 'SecretAccessKey': 'dummy-secret-access-key', 'SessionToken': 'dummy-session-token', 'Expiration': datetime(2015, 1, 1) }, 'AssumedRoleUser': { 'AssumedRoleId': 'dummy-assumed-role-id', 'Arn': 'dummy-arn' }, 'PackedPolicySize': 123 } mock_root_session.client.return_value = mock_sts mock_release_file = MagicMock(spec=TextIOWrapper) mock_open_release.return_value.__enter__.return_value = \ mock_release_file component_name = 'dummy-component' version = '1.2.3' make_archive.return_value = '/tmp/tmpvyzXQB/{}-{}.zip'.format( component_name, version ) check_output_cli.return_value = 'hash\n'.encode('utf-8') check_output.return_value = 'git@github.com:org/{}.git'.format( component_name ).encode('utf-8') mock_os_release.environ = {'CDFLOW_IMAGE_DIGEST': 'hash'} cli.run([ 'release', '--platform-config', 'path/to/config', version, ]) image_name = '{}.dkr.ecr.{}.amazonaws.com/{}:{}'.format( 123456789, 'us-north-4', component_name, version ) check_call.assert_any_call([ 'docker', 'build', '-t', image_name, '.' ]) check_call.assert_any_call(['docker', 'push', image_name]) mock_session.resource.return_value.Object.assert_called_once_with( 'releases', '{}/{}-{}.zip'.format(component_name, component_name, version) ) mock_session.resource.return_value.Object.return_value\ .upload_file.assert_called_once_with( make_archive.return_value, ExtraArgs={'Metadata': {'cdflow_image_digest': 'hash'}}, )

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1

0

null

0

6

8029f31fff7f36d6d14eb0eb897380a5cd43ac6d

142

py

Python

app/app/views.py

rajrpatel62499/recipie-app-api

5d92a4bb30b0b6752a98ecbf11e3b46bff0dc81b

[ "MIT" ]

null

app/app/views.py

rajrpatel62499/recipie-app-api

5d92a4bb30b0b6752a98ecbf11e3b46bff0dc81b

[ "MIT" ]

null

app/app/views.py

rajrpatel62499/recipie-app-api

5d92a4bb30b0b6752a98ecbf11e3b46bff0dc81b

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse def demo(request): return HttpResponse(content=b'<h1>bingo<h1>')

28.4

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6

80406760609b37abe1d25d4a04b30570e8e7b382

46

py

Python

enthought/pyface/tasks/api.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/pyface/tasks/api.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/pyface/tasks/api.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from pyface.tasks.api import *

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6

80475223a457d603e063b3c93e10132b377fbba7

14,930

py

Python

tests/test_rendering.py

Nikolay-Lysenko/dodecaphony

1a02af4b8b11785b65596b7ce14e1790436e0098

[ "MIT" ]

2

2021-08-29T03:20:21.000Z

2021-11-22T01:20:55.000Z

tests/test_rendering.py

Nikolay-Lysenko/dodecaphony

1a02af4b8b11785b65596b7ce14e1790436e0098

[ "MIT" ]

null

tests/test_rendering.py

Nikolay-Lysenko/dodecaphony

1a02af4b8b11785b65596b7ce14e1790436e0098

[ "MIT" ]

1

2021-08-29T03:20:53.000Z

""" Test `dodecaphony.rendering` module. Author: Nikolay Lysenko """ from typing import Any import pretty_midi import pytest import yaml from dodecaphony.fragment import Fragment, override_calculated_attributes from dodecaphony.rendering import ( create_lilypond_file_from_fragment, create_midi_from_fragment, create_sinethesizer_instruments, create_tsv_events_from_fragment, create_wav_from_tsv_events, create_yaml_from_fragment, ) @pytest.mark.parametrize( "fragment, expected", [ ( # `fragment` Fragment( temporal_content=[ [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0], [2.0, 4.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], ], sonic_content=[ ['B', 'A#', 'G', 'C#', 'D#', 'C', 'D', 'A', 'F#', 'E', 'G#', 'pause', 'F'], ['F', 'G#', 'E', 'F#', 'A', 'D', 'C', 'D#', 'C#', 'G', 'A#', 'B'], ], meter_numerator=4, meter_denominator=4, n_beats=16, line_ids=[1, 2], upper_line_highest_position=55, upper_line_lowest_position=41, n_melodic_lines_by_group=[1, 1], n_tone_row_instances_by_group=[1, 1], mutable_temporal_content_indices=[0, 1], mutable_sonic_content_indices=[0, 1], ), # `expected` ( "\\version \"2.18.2\"\n" "\\layout {\n" " indent = #0\n" "}\n" "\\new StaffGroup <<\n" " \\new Staff <<\n" " \\clef treble\n" " \\time 4/4\n" " \\key c \\major\n" " {b'4 ais'4 g'4 cis''4 dis''2 c''2 d''4 a'4 fis'4 e'4 gis'2 r4 f'4}\n" " >>\n" " \\new Staff <<\n" " \\clef bass\n" " \\time 4/4\n" " \\key c \\major\n" " {f'2 gis2~ gis2 e'4 fis'4 a'4 d'4 c'4 dis'4 cis'4 g'4 ais4 b4}\n" " >>\n" ">>" ) ), ] ) def test_create_lilypond_file_from_fragment( path_to_tmp_file: str, fragment: Fragment, expected: str ) -> None: """Test `create_lilypond_file_from_fragment` function.""" fragment = override_calculated_attributes(fragment) create_lilypond_file_from_fragment(fragment, path_to_tmp_file) with open(path_to_tmp_file) as in_file: result = in_file.read() assert result == expected @pytest.mark.parametrize( "fragment, note_number, expected", [ ( # `fragment` Fragment( temporal_content=[ [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0], [2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0], ], sonic_content=[ ['B', 'A#', 'G', 'C#', 'D#', 'C', 'D', 'A', 'F#', 'E', 'G#', 'F'], ['F', 'G#', 'E', 'F#', 'A', 'D', 'C', 'D#', 'C#', 'G', 'A#', 'B'], ], meter_numerator=4, meter_denominator=4, n_beats=16, line_ids=[1, 2], upper_line_highest_position=55, upper_line_lowest_position=41, n_melodic_lines_by_group=[1, 1], n_tone_row_instances_by_group=[1, 1], mutable_temporal_content_indices=[0, 1], mutable_sonic_content_indices=[0, 1], ), # `note_number` 5, # `expected` { 'pitch': 72, 'start': 4.0, 'end': 5.0 } ), ( # `fragment` Fragment( temporal_content=[ [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0], [2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0], ], sonic_content=[ ['B', 'A#', 'G', 'C#', 'D#', 'pause', 'D', 'A', 'F#', 'E', 'G#', 'F'], ['F', 'G#', 'E', 'F#', 'A', 'D', 'C', 'D#', 'C#', 'G', 'A#', 'B'], ], meter_numerator=4, meter_denominator=4, n_beats=16, line_ids=[1, 2], upper_line_highest_position=55, upper_line_lowest_position=41, n_melodic_lines_by_group=[1, 1], n_tone_row_instances_by_group=[1, 1], mutable_temporal_content_indices=[0, 1], mutable_sonic_content_indices=[0, 1], ), # `note_number` 5, # `expected` { 'pitch': 74, 'start': 5.0, 'end': 5.5 } ), ] ) def test_create_midi_from_fragment( path_to_tmp_file: str, fragment: Fragment, note_number: int, expected: dict[str, float] ) -> None: """Test `create_midi_from_fragment` function.""" fragment = override_calculated_attributes(fragment) create_midi_from_fragment( fragment, path_to_tmp_file, beat_in_seconds=0.5, instruments={k: 0 for k in fragment.line_ids}, velocity=100, opening_silence_in_seconds=1, trailing_silence_in_seconds=1 ) midi_data = pretty_midi.PrettyMIDI(path_to_tmp_file) instrument = midi_data.instruments[0] midi_note = instrument.notes[note_number] result = { 'pitch': midi_note.pitch, 'start': midi_note.start, 'end': midi_note.end } assert result == expected @pytest.mark.parametrize( "fragment, expected", [ ( # `fragment` Fragment( temporal_content=[ [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0], [2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0], ], sonic_content=[ ['B', 'A#', 'G', 'C#', 'D#', 'C', 'D', 'A', 'F#', 'E', 'G#', 'F'], ['F', 'G#', 'E', 'F#', 'A', 'D', 'C', 'D#', 'C#', 'G', 'A#', 'B'], ], meter_numerator=4, meter_denominator=4, n_beats=16, line_ids=[1, 2], upper_line_highest_position=55, upper_line_lowest_position=41, n_melodic_lines_by_group=[1, 1], n_tone_row_instances_by_group=[1, 1], mutable_temporal_content_indices=[0, 1], mutable_sonic_content_indices=[0, 1], ), # `expected` ( "instrument\tstart_time\tduration\tfrequency\tvelocity\teffects\tline_id\n" "additive_mellow_pipe\t1.0\t1.0\tF4\t1.0\t\t2\n" "additive_mellow_pipe\t1.0\t0.5\tB4\t1.0\t\t1\n" "additive_mellow_pipe\t1.5\t0.5\tA#4\t1.0\t\t1\n" "additive_mellow_pipe\t2.0\t1.0\tG#3\t1.0\t\t2\n" "additive_mellow_pipe\t2.0\t0.5\tG4\t1.0\t\t1\n" "additive_mellow_pipe\t2.5\t0.5\tC#5\t1.0\t\t1\n" "additive_mellow_pipe\t3.0\t0.5\tE4\t1.0\t\t2\n" "additive_mellow_pipe\t3.0\t1.0\tD#5\t1.0\t\t1\n" "additive_mellow_pipe\t3.5\t0.5\tF#4\t1.0\t\t2\n" "additive_mellow_pipe\t4.0\t0.5\tA4\t1.0\t\t2\n" "additive_mellow_pipe\t4.0\t1.0\tC5\t1.0\t\t1\n" "additive_mellow_pipe\t4.5\t0.5\tD4\t1.0\t\t2\n" "additive_mellow_pipe\t5.0\t1.0\tC4\t1.0\t\t2\n" "additive_mellow_pipe\t5.0\t0.5\tD5\t1.0\t\t1\n" "additive_mellow_pipe\t5.5\t0.5\tA4\t1.0\t\t1\n" "additive_mellow_pipe\t6.0\t1.0\tD#4\t1.0\t\t2\n" "additive_mellow_pipe\t6.0\t0.5\tF#4\t1.0\t\t1\n" "additive_mellow_pipe\t6.5\t0.5\tE4\t1.0\t\t1\n" "additive_mellow_pipe\t7.0\t0.5\tC#4\t1.0\t\t2\n" "additive_mellow_pipe\t7.0\t1.0\tG#4\t1.0\t\t1\n" "additive_mellow_pipe\t7.5\t0.5\tG4\t1.0\t\t2\n" "additive_mellow_pipe\t8.0\t0.5\tA#3\t1.0\t\t2\n" "additive_mellow_pipe\t8.0\t1.0\tF4\t1.0\t\t1\n" "additive_mellow_pipe\t8.5\t0.5\tB3\t1.0\t\t2\n" ) ), ( # `fragment` Fragment( temporal_content=[ [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0], [2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0], ], sonic_content=[ ['B', 'A#', 'G', 'C#', 'D#', 'C', 'D', 'A', 'F#', 'E', 'G#', 'F'], ['pause', 'G#', 'E', 'F#', 'A', 'D', 'C', 'D#', 'C#', 'G', 'A#', 'B'], ], meter_numerator=4, meter_denominator=4, n_beats=16, line_ids=[1, 2], upper_line_highest_position=55, upper_line_lowest_position=41, n_melodic_lines_by_group=[1, 1], n_tone_row_instances_by_group=[1, 1], mutable_temporal_content_indices=[0, 1], mutable_sonic_content_indices=[0, 1], ), # `expected` ( "instrument\tstart_time\tduration\tfrequency\tvelocity\teffects\tline_id\n" "additive_mellow_pipe\t1.0\t0.5\tB4\t1.0\t\t1\n" "additive_mellow_pipe\t1.5\t0.5\tA#4\t1.0\t\t1\n" "additive_mellow_pipe\t2.0\t1.0\tG#3\t1.0\t\t2\n" "additive_mellow_pipe\t2.0\t0.5\tG4\t1.0\t\t1\n" "additive_mellow_pipe\t2.5\t0.5\tC#5\t1.0\t\t1\n" "additive_mellow_pipe\t3.0\t0.5\tE4\t1.0\t\t2\n" "additive_mellow_pipe\t3.0\t1.0\tD#5\t1.0\t\t1\n" "additive_mellow_pipe\t3.5\t0.5\tF#4\t1.0\t\t2\n" "additive_mellow_pipe\t4.0\t0.5\tA4\t1.0\t\t2\n" "additive_mellow_pipe\t4.0\t1.0\tC5\t1.0\t\t1\n" "additive_mellow_pipe\t4.5\t0.5\tD4\t1.0\t\t2\n" "additive_mellow_pipe\t5.0\t1.0\tC4\t1.0\t\t2\n" "additive_mellow_pipe\t5.0\t0.5\tD5\t1.0\t\t1\n" "additive_mellow_pipe\t5.5\t0.5\tA4\t1.0\t\t1\n" "additive_mellow_pipe\t6.0\t1.0\tD#4\t1.0\t\t2\n" "additive_mellow_pipe\t6.0\t0.5\tF#4\t1.0\t\t1\n" "additive_mellow_pipe\t6.5\t0.5\tE4\t1.0\t\t1\n" "additive_mellow_pipe\t7.0\t0.5\tC#4\t1.0\t\t2\n" "additive_mellow_pipe\t7.0\t1.0\tG#4\t1.0\t\t1\n" "additive_mellow_pipe\t7.5\t0.5\tG4\t1.0\t\t2\n" "additive_mellow_pipe\t8.0\t0.5\tA#3\t1.0\t\t2\n" "additive_mellow_pipe\t8.0\t1.0\tF4\t1.0\t\t1\n" "additive_mellow_pipe\t8.5\t0.5\tB3\t1.0\t\t2\n" ) ), ] ) def test_create_tsv_events_from_fragment( path_to_tmp_file: str, fragment: Fragment, expected: str ) -> None: """Test `create_tsv_events_from_fragment` function.""" fragment = override_calculated_attributes(fragment) create_tsv_events_from_fragment( fragment, path_to_tmp_file, beat_in_seconds=0.5, instruments={k: 'additive_mellow_pipe' for k in fragment.line_ids}, effects={k: '' for k in fragment.line_ids}, velocity=1.0, opening_silence_in_seconds=1.0 ) with open(path_to_tmp_file) as in_file: result = in_file.read() assert result == expected @pytest.mark.parametrize( "tsv_content, trailing_silence_in_seconds", [ ( [ 'instrument\tstart_time\tduration\tfrequency\tvelocity\teffects\tline_id', 'additive_mellow_pipe\t1\t1\tA0\t1\t\t1', 'additive_mellow_pipe\t2\t1\t1\t1\t[{"name": "tremolo", "frequency": 1}]\t1' ], 1.0 ), ] ) def test_create_wav_from_tsv_events( path_to_tmp_file: str, path_to_another_tmp_file: str, tsv_content: list[str], trailing_silence_in_seconds: float ) -> None: """Test `create_wav_from_tsv_events` function.""" with open(path_to_tmp_file, 'w') as tmp_tsv_file: for line in tsv_content: tmp_tsv_file.write(line + '\n') instruments_registry = create_sinethesizer_instruments() create_wav_from_tsv_events( path_to_tmp_file, path_to_another_tmp_file, instruments_registry, trailing_silence_in_seconds ) @pytest.mark.parametrize( "fragment, expected", [ ( # `fragment` Fragment( temporal_content=[ [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0], [2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0], ], sonic_content=[ ['B', 'A#', 'G', 'C#', 'D#', 'C', 'D', 'A', 'F#', 'E', 'G#', 'F'], ['pause', 'G#', 'E', 'F#', 'A', 'D', 'C', 'D#', 'C#', 'G', 'A#', 'B'], ], meter_numerator=4, meter_denominator=4, n_beats=16, line_ids=[1, 2], upper_line_highest_position=55, upper_line_lowest_position=41, n_melodic_lines_by_group=[1, 1], n_tone_row_instances_by_group=[1, 1], mutable_temporal_content_indices=[0, 1], mutable_sonic_content_indices=[0, 1], ), # `expected` { "temporal_content": { 0: {'durations': [1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0]}, 1: {'durations': [2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0]}, }, 'sonic_content': { 0: {'pitch_classes': ['B', 'A#', 'G', 'C#', 'D#', 'C', 'D', 'A', 'F#', 'E', 'G#', 'F']}, 1: {'pitch_classes': ['pause', 'G#', 'E', 'F#', 'A', 'D', 'C', 'D#', 'C#', 'G', 'A#', 'B']}, } } ), ] ) def test_create_yaml_from_fragment( path_to_tmp_file: str, fragment: Fragment, expected: dict[str, Any] ) -> None: """Test `create_yaml_from_fragment` function.""" create_yaml_from_fragment(fragment, path_to_tmp_file) with open(path_to_tmp_file) as in_file: result = yaml.load(in_file, Loader=yaml.FullLoader) assert result == expected

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337a6112f47120b44bf4d733dc6ae70165c0ca72

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py

Python

Codewars/7kyu/sum-of-a-sequence/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

7

2017-09-20T16:40:39.000Z

2021-08-31T18:15:08.000Z

Codewars/7kyu/sum-of-a-sequence/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

Codewars/7kyu/sum-of-a-sequence/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

# Python - 3.6.0 Test.describe('Basic tests') Test.assert_equals(sequence_sum(2, 6, 2), 12) Test.assert_equals(sequence_sum(1, 5, 1), 15) Test.assert_equals(sequence_sum(1, 5, 3), 5) Test.assert_equals(sequence_sum(0, 15, 3), 45) Test.assert_equals(sequence_sum(16, 15, 3), 0) Test.assert_equals(sequence_sum(2, 24, 22), 26) Test.assert_equals(sequence_sum(2, 2, 2), 2) Test.assert_equals(sequence_sum(2, 2, 1), 2) Test.assert_equals(sequence_sum(1, 15, 3), 35) Test.assert_equals(sequence_sum(15, 1, 3), 0)

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py

Python

tests/functional/test_feeds.py

tgiardina/rpp-h

fece590f901b052a59c19a24acfeba52cee33c84

[ "BSD-2-Clause" ]

2,103

2015-01-07T12:47:49.000Z

2022-03-29T02:38:25.000Z

tests/functional/test_feeds.py

tgiardina/rpp-h

fece590f901b052a59c19a24acfeba52cee33c84

[ "BSD-2-Clause" ]

4,322

2015-01-04T17:18:01.000Z

2022-03-31T17:06:02.000Z

tests/functional/test_feeds.py

tgiardina/rpp-h

fece590f901b052a59c19a24acfeba52cee33c84

[ "BSD-2-Clause" ]

389

2015-01-24T04:10:02.000Z

2022-03-28T08:00:16.000Z

def test_atom_feed(app): app.get("/stream.atom") def test_rss_feed(app): app.get("/stream.rss")

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33da9e76d1966f919c595b2c05916185f8d137cf

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py

Python

api/pagination.py

hackoregon/neighborhoods-2018

2e1bf837365182a212527e1afbedddc759d0ee78

[ "MIT" ]

6

2018-03-16T00:06:31.000Z

2019-06-02T21:27:03.000Z

api/pagination.py

hackoregon/neighborhoods-2018

2e1bf837365182a212527e1afbedddc759d0ee78

[ "MIT" ]

53

2018-03-16T03:29:04.000Z

2021-06-10T20:17:11.000Z

api/pagination.py

hackoregon/neighborhoods-2018

2e1bf837365182a212527e1afbedddc759d0ee78

[ "MIT" ]

1

2018-06-20T16:03:40.000Z

from rest_framework.pagination import LimitOffsetPagination class LargeResultSetPagination(LimitOffsetPagination): max_limit = 5000 class VeryLargeResultSetPagination(LimitOffsetPagination): max_limit = 50000

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py

Python

venv/lib/python3.8/site-packages/pip/_vendor/cachecontrol/heuristics.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/pip/_vendor/cachecontrol/heuristics.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/pip/_vendor/cachecontrol/heuristics.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/04/51/87/277c90731bd98b37e8f742cb674e13fd9e574825ef168b6ba7b52cd2c7

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33e69a55e1abbd2331d6d21f9aeff8fe3a4d205b

33

py

Python

child_test.py

ja-dir/demorepo

00ead2c4167735204f3f184d883b664e87ca725e

[ "MIT" ]

null

child_test.py

ja-dir/demorepo

00ead2c4167735204f3f184d883b664e87ca725e

[ "MIT" ]

null

child_test.py

ja-dir/demorepo

00ead2c4167735204f3f184d883b664e87ca725e

[ "MIT" ]

null

print("Hello from child branch")

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Python

django_presskit/migrations/0004_auto_20190202_2017.py

FutureProofGames/django_presskit

638d77f18e51f6d3a2adeaa6d6e65f62e7c5f934

[ "MIT" ]

null

django_presskit/migrations/0004_auto_20190202_2017.py

FutureProofGames/django_presskit

638d77f18e51f6d3a2adeaa6d6e65f62e7c5f934

[ "MIT" ]

1

2019-01-09T03:53:53.000Z

django_presskit/migrations/0004_auto_20190202_2017.py

FutureProofGames/django_presskit

638d77f18e51f6d3a2adeaa6d6e65f62e7c5f934

[ "MIT" ]

3

2019-02-18T21:21:48.000Z

2019-02-21T00:42:57.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.18 on 2019-02-02 20:17 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('django_presskit', '0003_auto_20181002_1915'), ] operations = [ migrations.AlterModelOptions( name='additionallink', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='award', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='companyimageattachment', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='companylogoattachment', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='companyvideo', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='contact', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='credit', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='feature', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='platform', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='price', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='project', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='projectimageattachment', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='projectlogoattachment', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='quote', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='social', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AlterModelOptions( name='trailer', options={'ordering': ['my_order', 'datetime_updated']}, ), migrations.AddField( model_name='additionallink', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='award', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='companyimageattachment', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='companylogoattachment', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='companyvideo', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='contact', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='credit', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='feature', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='platform', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='price', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='project', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='projectimageattachment', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='projectlogoattachment', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='quote', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='social', name='my_order', field=models.PositiveIntegerField(default=0), ), migrations.AddField( model_name='trailer', name='my_order', field=models.PositiveIntegerField(default=0), ), ]

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1d4ceea77141f718fb64d5c7ed4f37998bf44db2

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py

Python

tests/test_cache.py

nollety/tengen

e11d9796638cc7538b2c946d163784c470fcea28

[ "MIT" ]

null

tests/test_cache.py

nollety/tengen

e11d9796638cc7538b2c946d163784c470fcea28

[ "MIT" ]

87

2021-07-05T07:17:35.000Z

2022-03-29T07:29:27.000Z

tests/test_cache.py

nollety/tengen

e11d9796638cc7538b2c946d163784c470fcea28

[ "MIT" ]

null

"""Test cases for the cache module.""" from tengen.cache import CACHE_DIR from tengen.cache import init_cache from tengen.cache import list_cache_content def test_init_cache() -> None: """Cache directory exists after 'init_cache' is called.""" init_cache() assert CACHE_DIR.exists() def test_list_cache_content() -> None: """Returns a list of str.""" assert isinstance(list_cache_content(), list) assert all([isinstance(x, str) for x in list_cache_content()])

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1

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6

1d5e7553767f502fbd9f241478b886c59de86319

161

py

Python

src/internals/errors/missing_dependency_error.py

mabel-dev/salmon

90866d16b08925206d1f8d9b3c8290fcd35f5322

[ "MIT" ]

null

src/internals/errors/missing_dependency_error.py

mabel-dev/salmon

90866d16b08925206d1f8d9b3c8290fcd35f5322

[ "MIT" ]

null

src/internals/errors/missing_dependency_error.py

mabel-dev/salmon

90866d16b08925206d1f8d9b3c8290fcd35f5322

[ "MIT" ]

null

""" This exception should be used when a lazy import fails """ from .base_exception import BaseException class MissingDependencyError(BaseException): pass

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null

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6

d51a101dc0e1549373e56f29f7045808c6c3758d

24

py

Python

tensorkit/debug/__init__.py

lizeyan/tensorkit

2997a5914ec3c3ec72f91eb5906b5ee878fdc020

[ "MIT" ]

null

tensorkit/debug/__init__.py

lizeyan/tensorkit

2997a5914ec3c3ec72f91eb5906b5ee878fdc020

[ "MIT" ]

null

tensorkit/debug/__init__.py

lizeyan/tensorkit

2997a5914ec3c3ec72f91eb5906b5ee878fdc020

[ "MIT" ]

2

2020-10-15T06:41:32.000Z

2021-01-27T12:55:11.000Z

from .recorder import *

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6

d537ae7f2ac0289e01caa96891e7381c94778f46

115

py

Python

tests/test_import.py

chrisbrake/chrisbrake

a5d89dead1cb2da5b23ccf7da40050865a107b7a

[ "BSD-3-Clause" ]

null

tests/test_import.py

chrisbrake/chrisbrake

a5d89dead1cb2da5b23ccf7da40050865a107b7a

[ "BSD-3-Clause" ]

null

tests/test_import.py

chrisbrake/chrisbrake

a5d89dead1cb2da5b23ccf7da40050865a107b7a

[ "BSD-3-Clause" ]

null

def test_import(): """ Test to ensure we didn't fail packaging """ import chrisbrake assert chrisbrake

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0

6

d5429a0bea2e4073e76b4dd64a45b70fd2038100

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py

Python

conftest.py

giocatron/Polygon

b3b0e0047bf20eb91379b594fd26603fcf279880

[ "CC-BY-4.0" ]

null

conftest.py

giocatron/Polygon

b3b0e0047bf20eb91379b594fd26603fcf279880

[ "CC-BY-4.0" ]

null

conftest.py

giocatron/Polygon

b3b0e0047bf20eb91379b594fd26603fcf279880

[ "CC-BY-4.0" ]

2

2020-11-24T22:23:08.000Z

2020-11-24T23:41:36.000Z

pytest_plugins = [ "polygon.tests.fixtures", "polygon.plugins.tests.fixtures", "polygon.graphql.tests.fixtures", ]

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d55f7170ac22d5540403bc03470e72ccf159e60d

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py

Python

GmailWrapper_JE/je_gmail/token/__init__.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

2

2020-12-30T06:37:10.000Z

2020-12-30T07:27:45.000Z

GmailWrapper_JE/je_gmail/token/__init__.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

GmailWrapper_JE/je_gmail/token/__init__.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

from je_gmail.token import *

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py

Python

tests/unit_tests/trading_tests/test_portfolio.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

1

2018-11-26T16:43:36.000Z

tests/unit_tests/trading_tests/test_portfolio.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

null

tests/unit_tests/trading_tests/test_portfolio.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

null

import ccxt from config.cst import TraderOrderType from tests.test_utils.config import load_test_config from tests.test_utils.order_util import fill_limit_or_stop_order, fill_market_order from trading.exchanges.exchange_manager import ExchangeManager from trading.trader.order import BuyMarketOrder, OrderConstants, SellLimitOrder, BuyLimitOrder, SellMarketOrder, \ StopLossOrder from trading.trader.portfolio import Portfolio from trading.trader.trader_simulator import TraderSimulator class TestPortfolio: @staticmethod def init_default(): config = load_test_config() exchange_manager = ExchangeManager(config, ccxt.binance, is_simulated=True) exchange_inst = exchange_manager.get_exchange() trader_inst = TraderSimulator(config, exchange_inst, 1) portfolio_inst = Portfolio(config, trader_inst) trader_inst.stop_order_manager() return config, portfolio_inst, exchange_inst, trader_inst def test_load_portfolio(self): _, portfolio_inst, _, trader_inst = self.init_default() portfolio_inst._load_portfolio() assert portfolio_inst.portfolio == {'BTC': {'available': 10, 'total': 10}, 'USD': {'available': 1000, 'total': 1000} } def test_get_currency_portfolio(self): _, portfolio_inst, _, trader_inst = self.init_default() assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 10 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("NANO", Portfolio.TOTAL) == 0 def test_update_portfolio_data(self): _, portfolio_inst, _, trader_inst = self.init_default() portfolio_inst._update_portfolio_data("BTC", -5) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 5 portfolio_inst._update_portfolio_data("BTC", -6, total=False, available=True) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 4 portfolio_inst._update_portfolio_data("XRP", 4.5, total=True, available=True) assert portfolio_inst.get_currency_portfolio("XRP", Portfolio.AVAILABLE) == 4.5 def test_update_portfolio_available(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], "BTC/USD", 70, 10, 70) # test buy order creation portfolio_inst.update_portfolio_available(market_buy, True) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 300 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # test buy order canceled --> return to init state and the update_portfolio will sync TOTAL with AVAILABLE portfolio_inst.update_portfolio_available(market_buy, False) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1000 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # Test sell order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 60, 8, 60) # test sell order creation portfolio_inst.update_portfolio_available(limit_sell, True) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 2 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1000 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # test sell order canceled --> return to init state and the update_portfolio will sync TOTAL with AVAILABLE portfolio_inst.update_portfolio_available(limit_sell, False) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1000 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 def test_update_portfolio(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 70, 10, 70) # update portfolio with creations portfolio_inst.update_portfolio_available(limit_buy, True) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 300 fill_limit_or_stop_order(limit_buy, 69, 71) portfolio_inst.update_portfolio(limit_buy) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 20 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 300 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 20 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 300 # Test buy order market_sell = SellMarketOrder(trader_inst) market_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_MARKET], "BTC/USD", 80, 8, 80) # update portfolio with creations portfolio_inst.update_portfolio_available(market_sell, True) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 12 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 300 fill_market_order(market_sell, 80) # when filling market sell portfolio_inst.update_portfolio(market_sell) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 12 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 940 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 12 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 940 def test_update_portfolio_with_filled_orders(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order market_sell = SellMarketOrder(trader_inst) market_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_MARKET], "BTC/USD", 70, 3, 70) fill_market_order(market_sell, 70) # Test sell order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 100, 4.2, 100) # Test stop loss order stop_loss = StopLossOrder(trader_inst) stop_loss.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 80, 4.2, 80) limit_sell.add_linked_order(stop_loss) stop_loss.add_linked_order(limit_sell) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 50, 2, 50) fill_limit_or_stop_order(limit_buy, 49, 51) # update portfolio with creations portfolio_inst.update_portfolio_available(market_sell, True) portfolio_inst.update_portfolio_available(limit_sell, True) portfolio_inst.update_portfolio_available(stop_loss, True) portfolio_inst.update_portfolio_available(limit_buy, True) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 2.8 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 900 # when cancelling limit sell, market sell and stop orders portfolio_inst.update_portfolio_available(stop_loss, False) portfolio_inst.update_portfolio_available(limit_sell, False) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 7 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 900 # when filling limit buy portfolio_inst.update_portfolio(limit_buy) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 9 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 900 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 12 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 900 # when filling market sell portfolio_inst.update_portfolio(market_sell) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 9 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1110 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 9 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1110 def test_update_portfolio_with_cancelled_orders(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order market_sell = SellMarketOrder(trader_inst) market_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_MARKET], "BTC/USD", 80, 4.1, 80) # Test sell order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 10, 4.2, 10) # Test stop loss order stop_loss = StopLossOrder(trader_inst) stop_loss.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 80, 3.6, 80) portfolio_inst.update_portfolio_available(stop_loss, True) portfolio_inst.update_portfolio_available(limit_sell, True) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 50, 4, 50) portfolio_inst.update_portfolio_available(limit_buy, True) portfolio_inst.update_portfolio_available(market_sell, True) assert round(portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE), 1) == 1.7 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 800 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # with no filled orders portfolio_inst.update_portfolio_available(stop_loss, False) portfolio_inst.update_portfolio_available(limit_sell, False) portfolio_inst.update_portfolio_available(limit_buy, False) portfolio_inst.update_portfolio_available(market_sell, False) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1000 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 def test_update_portfolio_with_stop_loss_orders(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 90, 4, 90) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 50, 4, 50) # Test stop loss order stop_loss = StopLossOrder(trader_inst) stop_loss.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 60, 4, 60) fill_limit_or_stop_order(stop_loss, 59, 61) portfolio_inst.update_portfolio_available(stop_loss, True) portfolio_inst.update_portfolio_available(limit_sell, True) portfolio_inst.update_portfolio_available(limit_buy, True) assert round(portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE), 1) == 6 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 800 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # cancel limits portfolio_inst.update_portfolio_available(limit_buy, False) portfolio_inst.update_portfolio_available(limit_sell, False) # filling stop loss # typical stop loss behavior --> update available before update portfolio portfolio_inst.update_portfolio(stop_loss) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 6 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1240 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 6 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1240 def test_update_portfolio_with_some_filled_orders(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 90, 4, 90) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 60, 2, 60) # Test buy order limit_buy_2 = BuyLimitOrder(trader_inst) limit_buy_2.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 50, 4, 50) # Test sell order limit_sell_2 = SellLimitOrder(trader_inst) limit_sell_2.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 10, 2, 10) # Test stop loss order stop_loss_2 = StopLossOrder(trader_inst) stop_loss_2.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 10, 2, 10) # Test sell order limit_sell_3 = SellLimitOrder(trader_inst) limit_sell_3.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 20, 1, 20) # Test stop loss order stop_loss_3 = StopLossOrder(trader_inst) stop_loss_3.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 20, 1, 20) portfolio_inst.update_portfolio_available(stop_loss_2, True) portfolio_inst.update_portfolio_available(stop_loss_3, True) portfolio_inst.update_portfolio_available(limit_sell, True) portfolio_inst.update_portfolio_available(limit_sell_2, True) portfolio_inst.update_portfolio_available(limit_sell_3, True) portfolio_inst.update_portfolio_available(limit_buy, True) portfolio_inst.update_portfolio_available(limit_buy_2, True) assert round(portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE), 1) == 3 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 680 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # cancels portfolio_inst.update_portfolio_available(stop_loss_3, False) portfolio_inst.update_portfolio_available(limit_sell_2, False) portfolio_inst.update_portfolio_available(limit_buy, False) # filling fill_limit_or_stop_order(stop_loss_2, 9, 11) fill_limit_or_stop_order(limit_sell, 89, 91) fill_limit_or_stop_order(limit_sell_3, 19, 21) fill_limit_or_stop_order(limit_buy_2, 49, 51) portfolio_inst.update_portfolio(stop_loss_2) portfolio_inst.update_portfolio(limit_sell) portfolio_inst.update_portfolio(limit_sell_3) portfolio_inst.update_portfolio(limit_buy_2) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 7 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1200 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 7 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1200 def test_update_portfolio_with_multiple_filled_orders(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 90, 4, 90) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 60, 2, 60) # Test buy order limit_buy_2 = BuyLimitOrder(trader_inst) limit_buy_2.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 50, 4, 50) # Test buy order limit_buy_3 = BuyLimitOrder(trader_inst) limit_buy_3.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 46, 2, 46) # Test buy order limit_buy_4 = BuyLimitOrder(trader_inst) limit_buy_4.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 41, 1.78, 41) # Test buy order limit_buy_5 = BuyLimitOrder(trader_inst) limit_buy_5.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 0.2122427, 3.72448, 0.2122427) # Test buy order limit_buy_6 = BuyLimitOrder(trader_inst) limit_buy_6.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 430, 1.05, 430) # Test sell order limit_sell_2 = SellLimitOrder(trader_inst) limit_sell_2.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 10, 2, 10) # Test stop loss order stop_loss_2 = StopLossOrder(trader_inst) stop_loss_2.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 10, 2, 10) # Test sell order limit_sell_3 = SellLimitOrder(trader_inst) limit_sell_3.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 20, 1, 20) # Test stop loss order stop_loss_3 = StopLossOrder(trader_inst) stop_loss_3.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 20, 1, 20) # Test sell order limit_sell_4 = SellLimitOrder(trader_inst) limit_sell_4.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 50, 0.2, 50) # Test stop loss order stop_loss_4 = StopLossOrder(trader_inst) stop_loss_4.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 45, 0.2, 45) # Test sell order limit_sell_5 = SellLimitOrder(trader_inst) limit_sell_5.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 11, 0.7, 11) # Test stop loss order stop_loss_5 = StopLossOrder(trader_inst) stop_loss_5.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 9, 0.7, 9) portfolio_inst.update_portfolio_available(stop_loss_2, True) portfolio_inst.update_portfolio_available(stop_loss_3, True) portfolio_inst.update_portfolio_available(stop_loss_4, True) portfolio_inst.update_portfolio_available(stop_loss_5, True) portfolio_inst.update_portfolio_available(limit_sell, True) portfolio_inst.update_portfolio_available(limit_sell_2, True) portfolio_inst.update_portfolio_available(limit_sell_3, True) portfolio_inst.update_portfolio_available(limit_sell_4, True) portfolio_inst.update_portfolio_available(limit_sell_5, True) portfolio_inst.update_portfolio_available(limit_buy, True) portfolio_inst.update_portfolio_available(limit_buy_2, True) portfolio_inst.update_portfolio_available(limit_buy_3, True) portfolio_inst.update_portfolio_available(limit_buy_4, True) portfolio_inst.update_portfolio_available(limit_buy_5, True) portfolio_inst.update_portfolio_available(limit_buy_6, True) assert round(portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE), 1) == 2.1 assert round(portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE), 7) == 62.7295063 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # cancels portfolio_inst.update_portfolio_available(stop_loss_3, False) portfolio_inst.update_portfolio_available(stop_loss_5, False) portfolio_inst.update_portfolio_available(limit_sell_2, False) portfolio_inst.update_portfolio_available(limit_buy, False) portfolio_inst.update_portfolio_available(limit_buy_3, False) portfolio_inst.update_portfolio_available(limit_buy_5, False) portfolio_inst.update_portfolio_available(limit_sell_4, False) # filling fill_limit_or_stop_order(stop_loss_2, 9, 11) fill_limit_or_stop_order(limit_sell, 89, 91) fill_limit_or_stop_order(limit_sell_3, 19, 21) fill_limit_or_stop_order(limit_buy_2, 49, 51) fill_limit_or_stop_order(limit_sell_5, 9, 12) fill_limit_or_stop_order(stop_loss_4, 44, 46) fill_limit_or_stop_order(limit_buy_4, 40, 42) fill_limit_or_stop_order(limit_buy_5, 0.2122426, 0.2122428) fill_limit_or_stop_order(limit_buy_6, 429, 431) portfolio_inst.update_portfolio(stop_loss_2) portfolio_inst.update_portfolio(limit_buy_4) portfolio_inst.update_portfolio(limit_sell) portfolio_inst.update_portfolio(limit_sell_3) portfolio_inst.update_portfolio(limit_buy_2) portfolio_inst.update_portfolio(limit_sell_5) portfolio_inst.update_portfolio(stop_loss_4) portfolio_inst.update_portfolio(limit_buy_5) portfolio_inst.update_portfolio(limit_buy_6) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 12.65448 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 692.22 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 12.65448 assert round(portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL), 7) == 691.4295063 def test_update_portfolio_with_multiple_symbols_orders(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], "ETH/USD", 7, 100, 7) # test buy order creation portfolio_inst.update_portfolio_available(market_buy, True) assert portfolio_inst.get_currency_portfolio("ETH", Portfolio.AVAILABLE) == 0 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 300 assert portfolio_inst.get_currency_portfolio("ETH", Portfolio.TOTAL) == 0 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 fill_market_order(market_buy, 7) portfolio_inst.update_portfolio(market_buy) assert portfolio_inst.get_currency_portfolio("ETH", Portfolio.AVAILABLE) == 100 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 300 assert portfolio_inst.get_currency_portfolio("ETH", Portfolio.TOTAL) == 100 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 300 # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], "LTC/BTC", 0.0135222, 100, 0.0135222) # test buy order creation portfolio_inst.update_portfolio_available(market_buy, True) assert portfolio_inst.get_currency_portfolio("LTC", Portfolio.AVAILABLE) == 0 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 8.647780000000001 assert portfolio_inst.get_currency_portfolio("LTC", Portfolio.TOTAL) == 0 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 fill_market_order(market_buy, 0.0135222) portfolio_inst.update_portfolio(market_buy) assert portfolio_inst.get_currency_portfolio("LTC", Portfolio.AVAILABLE) == 100 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 8.647780000000001 assert portfolio_inst.get_currency_portfolio("LTC", Portfolio.TOTAL) == 100 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 8.647780000000001 # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "XRP/BTC", 0.00012232132312312, 3000.1214545, 0.00012232132312312) # test buy order creation portfolio_inst.update_portfolio_available(limit_buy, True) assert portfolio_inst.get_currency_portfolio("XRP", Portfolio.AVAILABLE) == 0 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 8.280801174155501 assert portfolio_inst.get_currency_portfolio("XRP", Portfolio.TOTAL) == 0 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 8.647780000000001 # cancel portfolio_inst.update_portfolio_available(limit_buy, False) assert portfolio_inst.get_currency_portfolio("XRP", Portfolio.AVAILABLE) == 0 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 8.647780000000001 assert portfolio_inst.get_currency_portfolio("XRP", Portfolio.TOTAL) == 0 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 8.647780000000001 def test_reset_portfolio_available(self): config, portfolio_inst, _, trader_inst = self.init_default() # Test buy order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 90, 4, 90) portfolio_inst.update_portfolio_available(limit_sell, True) portfolio_inst.reset_portfolio_available() assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1000 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # Test sell order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "BTC/USD", 90, 4, 90) portfolio_inst.update_portfolio_available(limit_sell, True) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "VEN/BTC", 0.5, 4, 0.5) portfolio_inst.update_portfolio_available(limit_buy, True) # Test buy order btc_limit_buy = BuyLimitOrder(trader_inst) btc_limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 10, 50, 10) portfolio_inst.update_portfolio_available(btc_limit_buy, True) # Test buy order btc_limit_buy2 = BuyLimitOrder(trader_inst) btc_limit_buy2.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], "BTC/USD", 10, 50, 10) portfolio_inst.update_portfolio_available(btc_limit_buy2, True) # reset equivalent of the ven buy order portfolio_inst.reset_portfolio_available("BTC", 4*0.5) assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 6 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 0 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000 # reset equivalent of the btc buy orders 1 and 2 portfolio_inst.reset_portfolio_available("USD") assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.AVAILABLE) == 6 assert portfolio_inst.get_currency_portfolio("BTC", Portfolio.TOTAL) == 10 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.AVAILABLE) == 1000 assert portfolio_inst.get_currency_portfolio("USD", Portfolio.TOTAL) == 1000

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null

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6

d5a0b9e6c28afe537586038c394fef6730547648

94

py

Python

examples/import_example/import_example_server.py

izi-global/izir

d1a4bfb5c082c3de1956402ef0280564014a3bd8

[ "MIT" ]

null

examples/import_example/import_example_server.py

izi-global/izir

d1a4bfb5c082c3de1956402ef0280564014a3bd8

[ "MIT" ]

5

2021-03-18T21:01:05.000Z

2022-03-11T23:29:48.000Z

examples/import_example/import_example_server.py

izi-global/izir

d1a4bfb5c082c3de1956402ef0280564014a3bd8

[ "MIT" ]

null

import example_resource import izi @izi.get() def hello(): return example_resource.hi()

11.75

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12,398

py

Python

unet_pipeline/models/mynet.py

S-Altman/pneumothorax-segmentation

e79673d2a2b3e9ee9db0352d19f52e676ed1187f

[ "MIT" ]

null

unet_pipeline/models/mynet.py

S-Altman/pneumothorax-segmentation

e79673d2a2b3e9ee9db0352d19f52e676ed1187f

[ "MIT" ]

null

unet_pipeline/models/mynet.py

S-Altman/pneumothorax-segmentation

e79673d2a2b3e9ee9db0352d19f52e676ed1187f

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F import segmentation_models_pytorch as smp from segmentation_models_pytorch.unet.decoder import DecoderBlock from segmentation_models_pytorch.base import SegmentationHead from segmentation_models_pytorch.base import initialization as init def add_conv(in_ch, out_ch, ksize, stride): """ Add a conv2d / batchnorm / leaky ReLU block. Args: in_ch (int): number of input channels of the convolution layer. out_ch (int): number of output channels of the convolution layer. ksize (int): kernel size of the convolution layer. stride (int): stride of the convolution layer. Returns: stage (Sequential) : Sequential layers composing a convolution block. """ stage = nn.Sequential() pad = (ksize - 1) // 2 stage.add_module('conv', nn.Conv2d(in_channels=in_ch, out_channels=out_ch, kernel_size=ksize, stride=stride, padding=pad, bias=False)) stage.add_module('batch_norm', nn.BatchNorm2d(out_ch)) stage.add_module('relu', nn.ReLU(inplace=True)) return stage class UnetDecoder(nn.Module): def __init__(self, encoder_channels, decoder_channels): super().__init__() encoder_channels = encoder_channels[1:] # remove first skip with same spatial resolution encoder_channels = encoder_channels[::-1] # reverse channels to start from head of encoder # computing blocks input and output channels head_channels = encoder_channels[0] in_channels = [head_channels] + list(decoder_channels[:-1]) skip_channels = list(encoder_channels[1:]) + [0] out_channels = decoder_channels seg_blocks = [ DecoderBlock(in_ch, skip_ch, out_ch) for in_ch, skip_ch, out_ch in zip(in_channels, skip_channels, out_channels) ] self.seg_fusion_blocks = nn.ModuleList(seg_blocks[:-1]) self.seg_final_block = seg_blocks[-1] dis_blocks = [ DecoderBlock(in_ch, skip_ch, out_ch) for in_ch, skip_ch, out_ch in zip(in_channels, skip_channels, out_channels) ] self.dis_fusion_blocks = nn.ModuleList(dis_blocks[:-1]) self.dis_final_block = dis_blocks[-1] def forward(self, *features): features = features[1:] # remove first skip with same spatial resolution features = features[::-1] # reverse channels to start from head of encoder x_seg = features[0] x_dis = features[0] skips = features[1:] for i, decoder_block in enumerate(zip(self.seg_fusion_blocks, self.dis_fusion_blocks)): seg_decoder_block, dis_decoder_block = decoder_block skip = skips[i] if i < len(skips) else None x_seg_temp = seg_decoder_block(x_seg, skip) x_dis_temp = dis_decoder_block(x_dis, skip) x_seg = x_seg_temp + x_dis_temp x_dis = x_seg_temp + x_dis_temp x_seg = self.seg_final_block(x_seg, None) x_dis = self.dis_final_block(x_dis, None) return x_seg, x_dis class Mynet(nn.Module): def __init__(self, num_classes=1, **kwargs): super().__init__() self.encoder = smp.Unet("resnet50", **kwargs).encoder self.decoder = UnetDecoder(self.encoder.out_channels, (256, 128, 64, 32, 16)) self.seg_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.dis_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.initialize() def initialize(self): init.initialize_decoder(self.decoder) init.initialize_head(self.seg_head) init.initialize_head(self.dis_head) def forward(self, x): features = self.encoder(x) x_seg, x_dis = self.decoder(*features) x_seg = self.seg_head(x_seg) x_dis = self.dis_head(x_dis) return [x_seg, x_dis] class UnetDecoderWithoutFusion(nn.Module): def __init__(self, encoder_channels, decoder_channels): super().__init__() encoder_channels = encoder_channels[1:] # remove first skip with same spatial resolution encoder_channels = encoder_channels[::-1] # reverse channels to start from head of encoder # computing blocks input and output channels head_channels = encoder_channels[0] in_channels = [head_channels] + list(decoder_channels[:-1]) skip_channels = list(encoder_channels[1:]) + [0] out_channels = decoder_channels seg_blocks = [ DecoderBlock(in_ch, skip_ch, out_ch) for in_ch, skip_ch, out_ch in zip(in_channels, skip_channels, out_channels) ] self.seg_blocks = nn.ModuleList(seg_blocks) dis_blocks = [ DecoderBlock(in_ch, skip_ch, out_ch) for in_ch, skip_ch, out_ch in zip(in_channels, skip_channels, out_channels) ] self.dis_blocks = nn.ModuleList(dis_blocks) def forward(self, *features): features = features[1:] # remove first skip with same spatial resolution features = features[::-1] # reverse channels to start from head of encoder x_seg = features[0] x_dis = features[0] skips = features[1:] for i, decoder_block in enumerate(zip(self.seg_blocks, self.dis_blocks)): seg_decoder_block, dis_decoder_block = decoder_block skip = skips[i] if i < len(skips) else None x_seg = seg_decoder_block(x_seg, skip) x_dis = dis_decoder_block(x_dis, skip) return x_seg, x_dis class MynetWithoutFusion(nn.Module): def __init__(self, num_classes=1, **kwargs): super().__init__() self.encoder = smp.Unet("resnet50", **kwargs).encoder self.decoder = UnetDecoderWithoutFusion(self.encoder.out_channels, (256, 128, 64, 32, 16)) self.seg_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.dis_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.initialize() def initialize(self): init.initialize_decoder(self.decoder) init.initialize_head(self.seg_head) init.initialize_head(self.dis_head) def forward(self, x): features = self.encoder(x) x_seg, x_dis = self.decoder(*features) x_seg = self.seg_head(x_seg) x_dis = self.dis_head(x_dis) return [x_seg, x_dis] class WeightedFusionModule(nn.Module): def __init__(self, in_channel): super().__init__() self.compress_seg = add_conv(in_channel, 16, 1, 1) self.compress_dis = add_conv(in_channel, 16, 1, 1) self.weight_seg = nn.Conv2d(32, 2, 1, 1, 0) self.weight_dis = nn.Conv2d(32, 2, 1, 1, 0) def forward(self, x_seg, x_dis): x_seg_compressed = self.compress_seg(x_seg) x_dis_compressed = self.compress_dis(x_dis) x_compressed = torch.cat((x_seg_compressed, x_dis_compressed), 1) seg_weight = self.weight_seg(x_compressed) seg_weight = F.softmax(seg_weight, dim=1) dis_weight = self.weight_dis(x_compressed) dis_weight = F.softmax(dis_weight, dim=1) x_seg_fusion = x_seg * seg_weight[:, 0:1, :, :] + x_dis * seg_weight[:, 1:, :, :] x_dis_fusion = x_seg * dis_weight[:, 0:1, :, :] + x_dis * dis_weight[:, 1:, :, :] return x_seg_fusion, x_dis_fusion class OnlyOneBranchWeightedFusionModule(nn.Module): def __init__(self, in_channel, fusion_branch='seg'): super().__init__() self.fusion_branch = fusion_branch self.compress_seg = add_conv(in_channel, 16, 1, 1) self.compress_dis = add_conv(in_channel, 16, 1, 1) self.weight_feature = nn.Conv2d(32, 2, 1, 1, 0) def forward(self, x_seg, x_dis): x_seg_compressed = self.compress_seg(x_seg) x_dis_compressed = self.compress_dis(x_dis) x_compressed = torch.cat((x_seg_compressed, x_dis_compressed), 1) weight = self.weight_feature(x_compressed) if self.fusion_branch == 'seg': x_seg_fusion = x_seg * weight[:, 0:1, :, :] + x_dis * weight[:, 1:, :, :] x_dis_fusion = x_dis elif self.fusion_branch == 'dis': x_seg_fusion = x_seg x_dis_fusion = x_seg * weight[:, 0:1, :, :] + x_dis * weight[:, 1:, :, :] return x_seg_fusion, x_dis_fusion class UnetDecoderWeightedFusion(nn.Module): def __init__(self, encoder_channels, decoder_channels): super().__init__() encoder_channels = encoder_channels[1:] # remove first skip with same spatial resolution encoder_channels = encoder_channels[::-1] # reverse channels to start from head of encoder # computing blocks input and output channels head_channels = encoder_channels[0] # 2048 in_channels = [head_channels] + list(decoder_channels[:-1]) skip_channels = list(encoder_channels[1:]) + [0] out_channels = decoder_channels seg_blocks = [ DecoderBlock(in_ch, skip_ch, out_ch) for in_ch, skip_ch, out_ch in zip(in_channels, skip_channels, out_channels) ] self.seg_fusion_blocks = nn.ModuleList(seg_blocks[:-1]) self.seg_final_block = seg_blocks[-1] dis_blocks = [ DecoderBlock(in_ch, skip_ch, out_ch) for in_ch, skip_ch, out_ch in zip(in_channels, skip_channels, out_channels) ] self.dis_fusion_blocks = nn.ModuleList(dis_blocks[:-1]) self.dis_final_block = dis_blocks[-1] weight_in_channels = decoder_channels[:-1] weight_blocks = [ WeightedFusionModule(in_ch) for in_ch in weight_in_channels ] self.weight_blocks = nn.ModuleList(weight_blocks) def forward(self, *features): features = features[1:] # remove first skip with same spatial resolution features = features[::-1] # reverse channels to start from head of encoder x_seg = features[0] x_dis = features[0] skips = features[1:] for i, decoder_block in enumerate(zip(self.seg_fusion_blocks, self.dis_fusion_blocks, self.weight_blocks)): seg_decoder_block, dis_decoder_block, weight_block = decoder_block skip = skips[i] if i < len(skips) else None x_seg = seg_decoder_block(x_seg, skip) x_dis = dis_decoder_block(x_dis, skip) x_seg, x_dis = weight_block(x_seg, x_dis) x_seg = self.seg_final_block(x_seg, None) x_dis = self.dis_final_block(x_dis, None) return x_seg, x_dis class MynetWeightedFusion(nn.Module): def __init__(self, num_classes=1, **kwargs): super().__init__() self.encoder = smp.Unet("resnet50", **kwargs).encoder self.decoder = UnetDecoderWeightedFusion(self.encoder.out_channels, (256, 128, 64, 32, 16)) self.seg_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.dis_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.initialize() def initialize(self): init.initialize_decoder(self.decoder) init.initialize_head(self.seg_head) init.initialize_head(self.dis_head) def forward(self, x): features = self.encoder(x) x_seg, x_dis = self.decoder(*features) x_seg = self.seg_head(x_seg) x_dis = self.dis_head(x_dis) return [x_seg, x_dis] class UnetDecoderOnlySegFusion(UnetDecoderWeightedFusion): def __init__(self, encoder_channels, decoder_channels): super().__init__(encoder_channels, decoder_channels) weight_in_channels = decoder_channels[:-1] weight_blocks = [ OnlyOneBranchWeightedFusionModule(in_ch) for in_ch in weight_in_channels ] self.weight_blocks = nn.ModuleList(weight_blocks) class MynetOnlySegFusion(Mynet): def __init__(self, num_classes=1, **kwargs): super().__init__() self.encoder = smp.Unet("resnet50", **kwargs).encoder self.decoder = UnetDecoderOnlySegFusion(self.encoder.out_channels, (256, 128, 64, 32, 16)) self.seg_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.dis_head = SegmentationHead(in_channels=16, out_channels=num_classes) self.initialize()

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6384552925c7ccab07ed4838cd799b76c4e180c7

187

py

Python

ddsc/__init__.py

Duke-GCB/DukeDSClient

7f119a5ee2e674e8deaff1f080caed1953c5cc61

[ "MIT" ]

4

2020-06-18T12:30:13.000Z

2020-10-12T21:25:54.000Z

ddsc/__init__.py

Duke-GCB/DukeDSClient

7f119a5ee2e674e8deaff1f080caed1953c5cc61

[ "MIT" ]

239

2016-02-18T14:44:08.000Z

2022-03-11T14:38:56.000Z

ddsc/__init__.py

Duke-GCB/DukeDSClient

7f119a5ee2e674e8deaff1f080caed1953c5cc61

[ "MIT" ]

10

2016-02-22T15:01:28.000Z

2022-02-21T22:46:26.000Z

from __future__ import absolute_import from ddsc.sdk.dukeds import DukeDS, Session, ItemNotFound, DuplicateNameError __all__ = ['DukeDS', 'Session', 'ItemNotFound', 'DuplicateNameError']

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6

63ad5efdaf21af9437e34c4171d21521a5843525

138

py

Python

tests/fixtures/helpers.py

ForroKulcs/bugsnag-python

107c1add31a2202cc08ef944aa00ab96996b247a

[ "MIT" ]

76

2015-03-01T11:46:57.000Z

2022-02-18T10:57:44.000Z

tests/fixtures/helpers.py

ForroKulcs/bugsnag-python

107c1add31a2202cc08ef944aa00ab96996b247a

[ "MIT" ]

119

2015-01-14T11:53:08.000Z

2022-03-30T08:22:50.000Z

tests/fixtures/helpers.py

ForroKulcs/bugsnag-python

107c1add31a2202cc08ef944aa00ab96996b247a

[ "MIT" ]

46

2015-02-09T23:50:57.000Z

2022-01-06T16:04:40.000Z

def invoke_exception_on_other_file(config): from bugsnag.event import Event return Event(Exception("another file!"), config, {})

27.6

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5.5

0.722222

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null

0

1

0

1

0

1

0

6

63cef1368265d98f03ad1b48449dbaec94267779

210

py

Python

Basic_Python/enamurate_and_zip.py

vibhgupta/python-basics

c898f292eccc39a4fded7d1f1a4f90084bf934ab

[ "MIT" ]

null

Basic_Python/enamurate_and_zip.py

vibhgupta/python-basics

c898f292eccc39a4fded7d1f1a4f90084bf934ab

[ "MIT" ]

null

Basic_Python/enamurate_and_zip.py

vibhgupta/python-basics

c898f292eccc39a4fded7d1f1a4f90084bf934ab

[ "MIT" ]

null

# enumerate numbers = ['one', 'two', 'three', 'four'] seasons = ['fall', 'winter', 'spring', 'summer'] print list(enumerate(numbers)) print list(enumerate(seasons)) # zip print zip(numbers, seasons)

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null

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6

89370605c716a524220bcda5533303cb372a1512

147

py

Python

pyattck/__init__.py

ehooo/pyattck

99580a476eb88a8311478b9158a38c5e6f359f72

[ "MIT" ]

1

2019-09-05T06:28:20.000Z

pyattck/__init__.py

doomedraven/pyattck

e663824b2320db7354865e6516eb2c6b12ffadbd

[ "MIT" ]

null

pyattck/__init__.py

doomedraven/pyattck

e663824b2320db7354865e6516eb2c6b12ffadbd

[ "MIT" ]

null

from .pyattck import Attck from .pyattck import (AttckActor, AttckMalware, AttckMalware, AttckMitigation, AttckTactic, AttckTechnique, AttckTools)

49

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1

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6

898f47d9bafa7127628dc95a2947820243ed5fa5

7,408

py

Python

team_9/cocos/utest/test_uniform_snippet.py

Donnyvdm/dojo19

3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400

[ "BSD-3-Clause" ]

1

2019-09-15T18:59:49.000Z

team_9/cocos/utest/test_uniform_snippet.py

Donnyvdm/dojo19

3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400

[ "BSD-3-Clause" ]

null

team_9/cocos/utest/test_uniform_snippet.py

Donnyvdm/dojo19

3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400

[ "BSD-3-Clause" ]

null

"""tests tools\\uniform_snippet.py , use py.test to run""" from __future__ import division, print_function, unicode_literals import six # make the test find the script in tools directory import sys, os tools_path = '../tools' tools_abspath = os.path.abspath(tools_path) sys.path.insert(0, tools_abspath) from uniform_snippet import get_start_line, get_endplus_line, SnipetCompliance #testing get_start_line # better name would be get_first_match ? #Note: target must not contain whitespace, else fails def test_start_1st_line_match(): target = 'classBackgroundLayer(' should_match = 'class BackgroundLayer(cocos.layer.Layer)' filling = '\n'.join([ 'this is a line', 'this is another' ]) text = should_match + '\n' + filling lines = text.split('\n') it = enumerate(lines) start_line = get_start_line(it, target) assert start_line == 0 assert six.next(it) == (1, lines[1]) def test_start_last_line_match(): target = 'classBackgroundLayer(' should_match = 'class BackgroundLayer(' filling = '\n'.join([ 'this is a line', 'this is another' ]) text = filling + '\n' + should_match lines = text.split('\n') it = enumerate(lines) start_line = get_start_line(it, target) assert start_line == 2 # here next should raise StoptIteration StopIteration_raised = False try: six.next(it) except StopIteration: StopIteration_raised = True assert StopIteration_raised def test_start_inner_line_match(): target = 'classBackgroundLayer(' should_match = 'class BackgroundLayer(cocos.layer.Layer)' filling = '\n'.join([ 'this is a line', 'this is another' ]) text = 'A fine first line.\n' + should_match + '\n' + filling lines = text.split('\n') it = enumerate(lines) start_line = get_start_line(it, target) assert start_line == 1 assert six.next(it) == (2, lines[2]) def test_start_no_match(): target = 'classBackgroundLayer(' filling = '\n'.join([ 'this is a line', 'this is another' ]) text = filling lines = text.split('\n') it = enumerate(lines) start_line = get_start_line(it, target) assert start_line is None # here next should raise StoptIteration StopIteration_raised = False try: six.next(it) except StopIteration: StopIteration_raised = True assert StopIteration_raised # start tests for get_endplus_line # better name can be : seek_end_of_indented_block def test_endplus_with_trailing_blank_lines(): text = '\n'.join([ ' An indented line.', '\n', '\tLast non whitespace indented line.', '\n', '\n \t \r', '\n', 'First non whitspace non indented line' ]) lines = text.split('\n') it = enumerate(lines) endplus_line = get_endplus_line(it) assert lines[endplus_line-1] == '\tLast non whitespace indented line.' def test_endplus_with_no_trailing_blank_lines(): text = '\n'.join([ ' An indented line.', '\n', '\tLast non whitespace indented line.', 'First non whitspace non indented line' ]) lines = text.split('\n') it = enumerate(lines) endplus_line = get_endplus_line(it) assert lines[endplus_line-1] == '\tLast non whitespace indented line.' def test_endplus_hitting_first_line(): text = '\n'.join([ 'First non whitespace non indented line', ' An indented line.', '\n', '\tLast non whitespace indented line.', ]) lines = text.split('\n') it = enumerate(lines) endplus_line = get_endplus_line(it) assert lines[endplus_line] == 'First non whitespace non indented line' def test_endplus_hitting_EOF(): text = '\n'.join([ ' An indented line.', '\n', '\tLast non whitespace indented line.' ]) lines = text.split('\n') it = enumerate(lines) endplus_line = get_endplus_line(it) assert lines[endplus_line-1] == '\tLast non whitespace indented line.' ## if desided to run withou py.test ##test_start_1st_line_match() ##test_start_last_line_match() ##test_start_inner_line_match() ##test_start_no_match() ##test_endplus_with_trailing_blank_lines() ##test_endplus_with_no_trailing_blank_lines() ##test_endplus_hitting_EOF() ##test_endplus_hitting_first_line() # aqui habria que empezar a hacer tests para la clase ##reference = """ ##class BackgroundLayer(cocos.layer.Layer): ## def __init__(self): ## super(BackgroundLayer, self).__init__() ## self.img = pyglet.resource.image('background_image.png') ## ## def draw( self ): ## glColor4ub(255, 255, 255, 255) ## glPushMatrix() ## self.transform() ## self.img.blit(0,0) ## glPopMatrix() ##""" ## ##text_0 = """ ###one up ## ##class BackgroundLayer(cocos.layer.Layer): ## def __init__(self): ## super(BackgroundLayer, self).__init__() ## self.img = pyglet.resource.image('background_image.png') ## ## def draw( self ): ## glColor4ub(255, 255, 255, 255) ## glPushMatrix() ## self.transform() ## self.img.blit(0,0) ## glPopMatrix() ## ###one down ##""" ## ##def test_midle_text_compliant(): ## line_0 = '#line 0' ## line_last = '#line last' ## text_0 = line_0 + '\n' + reference + line_last ## print(text_0) ## SnipetCompliance.set_target(reference, 'classBackgroundLayer(') ## worker = SnipetCompliance('', text_0) ## worker.is_compliant() ## print('\n>>>') ## print('matched:') ## print(worker.matched()) ## print('<<<\n') ## ## worker.enforce_compliance() ## print '\n>>>' ## print 'matched:' ## print worker.matched() ## print '<<<\n' ## ## print 'fixed text:' ## print worker.text ## ## ##def test_midle_text_compliant(): ## line_0 = '#line 0' ## line_last = '#line last' ## text_0 = line_0 + '\n' + reference + line_last ## print(text_0) ## SnipetCompliance.set_target(reference, 'classBackgroundLayer(') ## worker = SnipetCompliance('', text_0) ## worker.is_compliant() ## assert worker.compliant ## worker.enforce_compliance() ## assert text_0 == worker.text #### print('\n>>>') #### print('matched:') #### print(worker.matched()) #### print('<<<\n') #### #### worker.enforce_compliance() #### print('\n>>>') #### print('matched:') #### print(worker.matched()) #### print('<<<\n') #### #### print('fixed text:') #### print(worker.text) ## ##def test_trailing_text_compliant(): ## line_0 = '#line 0' ## text_0 = line_0 + '\n' + reference ## print(text_0) ## SnipetCompliance.set_target(reference, 'classBackgroundLayer(') ## worker = SnipetCompliance('', text_0) ## worker.is_compliant() ## assert text_0 == worker.text ## assert worker.compliant #### print('\n>>>') #### print('matched:') #### print(worker.matched()) #### print('<<<\n') #### #### worker.enforce_compliance() #### print('\n>>>') #### print('matched:') #### print(worker.matched()) #### print('<<<\n') #### #### print('fixed text:') #### print(worker.text) ##test_midle_text_compliant ##test_trailing_text_compliant()

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1

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null

0

6

899f295a0a1d980958923eb85b58f50ab858ce26

2,925

py

Python

src/third_party/imageAugmentation/checks/check_elastic_transformation.py

Austin1999/ViolenceDetection-master

10f3540bb330d06a1f36efd597097d9dcb067645

[ "Apache-2.0" ]

149

2018-04-26T16:09:45.000Z

2022-03-31T12:57:11.000Z

src/third_party/imageAugmentation/checks/check_elastic_transformation.py

Austin1999/ViolenceDetection-master

10f3540bb330d06a1f36efd597097d9dcb067645

[ "Apache-2.0" ]

44

2018-05-07T13:57:44.000Z

2021-05-30T11:06:31.000Z

src/third_party/imageAugmentation/checks/check_elastic_transformation.py

Austin1999/ViolenceDetection-master

10f3540bb330d06a1f36efd597097d9dcb067645

[ "Apache-2.0" ]

45

2018-06-08T10:08:45.000Z

2021-11-24T06:02:06.000Z

from __future__ import print_function, division import imgaug as ia from imgaug import augmenters as iaa from scipy import misc import numpy as np from skimage import data def main(): image = data.astronaut() image = ia.imresize_single_image(image, (128, 128)) images = [] params = [ (0.25, 0.25), (1.0, 0.25), (2.0, 0.25), (3.0, 0.25), (0.25, 0.50), (1.0, 0.50), (2.0, 0.50), (3.0, 0.50), (0.25, 0.75), (1.0, 0.75), (2.0, 0.75), (3.0, 0.75) ] for (alpha, sigma) in params: images_row = [] seqs_row = [ iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=0, order=0), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=128, order=0), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=255, order=0), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=0, order=1), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=128, order=1), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=255, order=1), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=0, order=3), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=128, order=3), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="constant", cval=255, order=3), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="nearest", order=0), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="nearest", order=1), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="nearest", order=2), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="nearest", order=3), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="reflect", order=0), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="reflect", order=1), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="reflect", order=2), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="reflect", order=3), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="wrap", order=0), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="wrap", order=1), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="wrap", order=2), iaa.ElasticTransformation(alpha=alpha, sigma=sigma, mode="wrap", order=3) ] for seq in seqs_row: images_row.append( seq.augment_image(image) ) images.append(np.hstack(images_row)) misc.imshow(np.vstack(images)) misc.imsave("elastic_transformations.jpg", np.vstack(images)) if __name__ == "__main__": main()

44.318182

100

0.627692

363

2,925

4.997245

0.165289

0.121279

0.335722

0.393605

0.735391

0.338479

0

0.049007

0.225641

2,925

65

101

45

0.751876

0

0.061197

0.009231

0

1

0.017241

false

0

0.103448

0

0.12069

0.017241

0

null

0

1

0

1

0

null

0

6

982335b8f59693d558a643455a38a99073476ea2

30

wsgi

Python

website-backend/ava/ava.wsgi

kbladin/ava-capture

2fc24f4a3712f721c3a229b499631e00697209a5

[ "BSD-3-Clause" ]

49

2017-08-18T15:25:09.000Z

2022-02-20T19:07:00.000Z

website-backend/ava/ava.wsgi

kbladin/ava-capture

2fc24f4a3712f721c3a229b499631e00697209a5

[ "BSD-3-Clause" ]

50

2021-11-07T18:24:34.000Z

2022-03-19T01:16:48.000Z

website-backend/ava/ava.wsgi

samqws-marketing/electronicarts_ava-capture

a04e5f9a7ee817317d0d58ce800eefc6bf4bd150

[ "BSD-3-Clause" ]

13

2017-12-04T19:33:20.000Z

2021-07-17T02:17:00.000Z

from test import application

10

28

0.833333

4

30

6.25

1

0

0.166667

30

2

29

15

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

983948c35808ce245980ba4837199f091daa00ea

145

py

Python

helpers/cache.py

pythonapi/python-api-based-on-flask-restful

4d83db4bec9d3ad13095ad85787360d3ba64d811

[ "MIT" ]

1

2021-04-23T21:58:07.000Z

helpers/cache.py

pythonapi/python-api-based-on-flask-restful

4d83db4bec9d3ad13095ad85787360d3ba64d811

[ "MIT" ]

null

helpers/cache.py

pythonapi/python-api-based-on-flask-restful

4d83db4bec9d3ad13095ad85787360d3ba64d811

[ "MIT" ]

null

from config import config class Cache(): def __init__(self): return base.Client((config['cache']['host'], config['cache']['port']))

24.166667

78

0.641379

18

145

4.944444

0.722222

0.247191

0

0.165517

145

5

79

29

0.735537

0

0.124138

0

1

0.25

false

0

0.25

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

984788d9c028b7dc4e9f9555ec978987dd05ad96

55

py

Python

post_processing/repulsion.py

gwpark-git/dynamics_of_networks_and_colloids

0b0a3687533379ec75171ae6b906aeff5bedfbba

[ "MIT" ]

null

post_processing/repulsion.py

gwpark-git/dynamics_of_networks_and_colloids

0b0a3687533379ec75171ae6b906aeff5bedfbba

[ "MIT" ]

null

post_processing/repulsion.py

gwpark-git/dynamics_of_networks_and_colloids

0b0a3687533379ec75171ae6b906aeff5bedfbba

[ "MIT" ]

null

def U_ij(r): return (1./3.)*(1. - r)**2.*(2. + r)

13.75

40

0.381818

12

55

1.666667

0.666667

0

0.119048

0.236364

55

3

41

18.333333

0.357143

0

1

0.5

false

0

0.5

1

0

1

0

1

null

0

1

0

1

0

null

0

1

0

1

0

6

98a5c080813be428b1558ec0f2132b5283db2f0a

167

py

Python

maqazin_service/run.py

agaverdi/anbar_maqazin_service

9db00066defce50d31061a63d96f54ef4bf5cdc4

[ "MIT" ]

1

2020-11-30T00:52:03.000Z

maqazin_service/run.py

agaverdi/anbar_maqazin_service

9db00066defce50d31061a63d96f54ef4bf5cdc4

[ "MIT" ]

null

maqazin_service/run.py

agaverdi/anbar_maqazin_service

9db00066defce50d31061a63d96f54ef4bf5cdc4

[ "MIT" ]

null

from app.app import create_app,db import os settings_name = os.getenv("APP_SETTINGS") app = create_app(settings_name) # db.create_all(app=create_app(settings_name))

20.875

46

0.796407

28

167

4.464286

0.357143

0.216

0.192

0.32

0.384

0

0.095808

167

8

46

20.875

0.827815

0.263473

0

0.098361

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

7f84ecad98e54f5946be09b30175fcdd7652cbce

44

py

Python

Webscraping/__init__.py

daydreamjesse/ReedTheRobot

cc30dae4ceddbaeb9369bb7be220adee7159b744

[ "MIT" ]

null

Webscraping/__init__.py

daydreamjesse/ReedTheRobot

cc30dae4ceddbaeb9369bb7be220adee7159b744

[ "MIT" ]

null

Webscraping/__init__.py

daydreamjesse/ReedTheRobot

cc30dae4ceddbaeb9369bb7be220adee7159b744

[ "MIT" ]

null

print("Initializing webscraping package...")

44

0.795455

4

44

8.75

1

0

0.045455

44

1

44

0.833333

0

0.777778

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

7fbe398a8c6b53aae5006c27b4817a92bf874daa

83

py

Python

arcli/triggers/always.py

guiscaranse/arcli

6ca8158111ab1694f2e1900dde723e3e4d86cfe8

[ "Apache-2.0" ]

2

2019-08-07T22:33:26.000Z

2020-01-14T00:44:01.000Z

arcli/triggers/always.py

guiscaranse/arcli

6ca8158111ab1694f2e1900dde723e3e4d86cfe8

[ "Apache-2.0" ]

1

2019-11-16T22:17:08.000Z

arcli/triggers/always.py

guiscaranse/arcli

6ca8158111ab1694f2e1900dde723e3e4d86cfe8

[ "Apache-2.0" ]

null

from arcli.triggers.base import ArcliTrigger class Always(ArcliTrigger): pass

16.6

44

0.795181

10

83

6.6

0.9

0

0.144578

83

5

45

16.6

0.929577

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

f69385c094ac3ffba4a6fbec6e04682dcf49ba53

19,221

py

Python

src/ralph/lib/custom_fields/tests/test_api.py

elubik/ralph

ac39be38cbd7c80ac64984848423fc92b8661b16

[ "Apache-2.0" ]

1,668

2015-01-01T12:51:20.000Z

2022-03-29T09:05:35.000Z

src/ralph/lib/custom_fields/tests/test_api.py

elubik/ralph

ac39be38cbd7c80ac64984848423fc92b8661b16

[ "Apache-2.0" ]

2,314

2015-01-02T13:26:26.000Z

2022-03-29T04:06:03.000Z

src/ralph/lib/custom_fields/tests/test_api.py

elubik/ralph

ac39be38cbd7c80ac64984848423fc92b8661b16

[ "Apache-2.0" ]

534

2015-01-05T12:40:28.000Z

2022-03-29T21:10:12.000Z

# -*- coding: utf-8 -*- from django.contrib.auth import get_user_model from django.contrib.auth.models import Group from django.core.urlresolvers import reverse from rest_framework import status from rest_framework.test import APITestCase from ralph.accounts.models import RalphUser from ralph.accounts.tests.factories import GroupFactory from ralph.tests.factories import UserFactory from ..models import CustomField, CustomFieldTypes, CustomFieldValue from ..signals import api_post_create, api_post_update from .models import ModelA, ModelB, SomeModel class CustomFieldsAPITests(APITestCase): @classmethod def setUpClass(cls): super().setUpClass() cls.a1 = ModelA.objects.create() cls.b1 = ModelB.objects.create(a=cls.a1) cls.sm1 = SomeModel.objects.create(name='abc', b=cls.b1) cls.sm2 = SomeModel.objects.create(name='def') cls.custom_field_str = CustomField.objects.create( name='test str', type=CustomFieldTypes.STRING, default_value='xyz' ) cls.custom_field_choices = CustomField.objects.create( name='test choice', type=CustomFieldTypes.CHOICE, choices='qwerty|asdfgh|zxcvbn', default_value='zxcvbn', use_as_configuration_variable=True, ) cls.user = get_user_model().objects.create_superuser( username='root', password='password', email='email@email.pl' ) cls.list_view_name = '{}-customfields-list'.format( SomeModel._meta.model_name ) cls.detail_view_name = '{}-customfields-detail'.format( SomeModel._meta.model_name ) def setUp(self): self.client.force_authenticate(self.user) self.cfv1 = CustomFieldValue.objects.create( object=self.sm1, custom_field=self.custom_field_str, value='sample_value', ) self.cfv2 = CustomFieldValue.objects.create( object=self.sm2, custom_field=self.custom_field_choices, value='qwerty', ) self.cfv3 = CustomFieldValue.objects.create( object=self.sm2, custom_field=self.custom_field_str, value='sample_value2', ) def test_get_customfields_in_object_resource(self): url = reverse('somemodel-detail', args=(self.sm2.id,)) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data['custom_fields'], { 'test_str': 'sample_value2', 'test_choice': 'qwerty', }) def test_get_customfields_with_inheritance_in_objects_list(self): CustomFieldValue.objects.create( object=self.a1, custom_field=self.custom_field_choices, value='asdfgh', ) CustomFieldValue.objects.create( object=self.b1, custom_field=self.custom_field_str, value='sample_value_b1', ) url = reverse('somemodel-list') response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data['count'], 2) cfvs = [obj['custom_fields'] for obj in response.data['results']] self.assertCountEqual(cfvs, [ { 'test_str': 'sample_value', 'test_choice': 'asdfgh', }, { 'test_str': 'sample_value2', 'test_choice': 'qwerty', } ]) def test_get_customfields_with_inheritance_in_object_resource(self): CustomFieldValue.objects.create( object=self.a1, custom_field=self.custom_field_choices, value='asdfgh', ) CustomFieldValue.objects.create( object=self.b1, custom_field=self.custom_field_str, value='sample_value_b1', ) url = reverse('somemodel-detail', args=(self.sm1.id,)) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data['custom_fields'], { 'test_str': 'sample_value', 'test_choice': 'asdfgh', }) def test_get_configuration_variables_in_object_resource(self): url = reverse('somemodel-detail', args=(self.sm2.id,)) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data['configuration_variables'], { 'test_choice': 'qwerty', }) def test_get_customfields_for_single_object(self): url = reverse(self.list_view_name, args=(self.sm1.id,)) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data['count'], 1) cfv = response.data['results'][0] self.assertEqual( cfv['custom_field']['name'], self.custom_field_str.name ) self.assertEqual(cfv['value'], self.cfv1.value) self.assertTrue(cfv['url'].endswith(reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ))) def test_get_customfields_with_inheritance_for_single_object(self): CustomFieldValue.objects.create( object=self.a1, custom_field=self.custom_field_choices, value='qwerty', ) self.assertEqual(self.sm1.custom_fields.count(), 2) url = reverse(self.list_view_name, args=(self.sm1.id,)) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) # besides that value of another CF is inherited, CFV assigned directly # to this object is only one and this only one should be editable # in context of this object self.assertEqual(response.data['count'], 1) def test_get_customfields_for_single_object_options(self): url = reverse(self.list_view_name, args=(self.sm1.id,)) response = self.client.options(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertIn('POST', response['allow']) def test_get_customfields_for_wrong_object_should_return_404(self): url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.sm2.pk} ) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) def test_get_single_customfields_for_single_object(self): url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual( response.data['custom_field']['name'], self.custom_field_str.name ) self.assertEqual(response.data['value'], self.cfv1.value) self.assertTrue(response.data['url'].endswith(reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ))) def test_get_single_customfields_for_single_object_options(self): url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) response = self.client.options(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertIn('PUT', response['allow']) self.assertIn('PATCH', response['allow']) def test_add_new_customfield_value_should_pass(self): url = reverse(self.list_view_name, args=(self.sm1.id,)) data = { 'value': 'qwerty', 'custom_field': self.custom_field_choices.id, } response = self.client.post(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) cfv = CustomFieldValue.objects.get(pk=response.data['id']) self.assertEqual(cfv.object, self.sm1) self.assertEqual(cfv.custom_field, self.custom_field_choices) self.assertEqual(cfv.value, 'qwerty') def test_add_new_customfield_value_with_unmatching_managing_group_should_fail(self): # noqa" E501 self.custom_field_str.managing_group = GroupFactory() self.custom_field_str.save() some_object = SomeModel.objects.create(name='DEADBEEF') url = reverse(self.list_view_name, args=(some_object.id,)) data = { 'value': 'qwerty', 'custom_field': self.custom_field_str.id, } response = self.client.post(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_add_new_customfield_value_with_matching_managing_group_should_succeed(self): # noqa" E501 group = GroupFactory() self.user.groups.add(group) self.custom_field_str.managing_group = group self.custom_field_str.save() self.user.save() some_object = SomeModel.objects.create(name='DEADBEEF') url = reverse(self.list_view_name, args=(some_object.id,)) data = { 'value': 'qwerty', 'custom_field': self.custom_field_str.id, } response = self.client.post(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_update_customfield_value_with_unmatching_managing_group_should_fail(self): # noqa: E501 self.custom_field_str.managing_group = GroupFactory() self.custom_field_str.save() url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) data = { 'value': 'NEW-VALUE', 'custom_field': self.custom_field_str.id, } response = self.client.put(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_update_customfield_value_with_matching_managing_group_should_pass(self): # noqa: E501 group = GroupFactory() self.user.groups.add(group) self.custom_field_str.managing_group = group self.custom_field_str.save() self.user.save() url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) data = { 'value': 'NEW-VALUE', 'custom_field': self.custom_field_str.id, } response = self.client.put(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.cfv1.refresh_from_db() self.assertEqual(self.cfv1.object, self.sm1) self.assertEqual(self.cfv1.custom_field, self.custom_field_str) self.assertEqual(self.cfv1.value, 'NEW-VALUE') def test_delete_custom_field_value_with_unmatching_managing_group_should_fail(self): # noqa: E501 self.custom_field_str.managing_group = GroupFactory() self.custom_field_str.save() url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) response = self.client.delete(url, format='json') self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) self.assertEqual( CustomFieldValue.objects.filter(pk=self.cfv1.pk).count(), 1 ) def test_delete_custom_field_value_with_matching_managing_group_should_pass(self): # noqa: E501 group = GroupFactory() self.user.groups.add(group) self.custom_field_str.managing_group = group self.custom_field_str.save() self.user.save() url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) response = self.client.delete(url, format='json') self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) self.assertEqual( CustomFieldValue.objects.filter(pk=self.cfv1.pk).count(), 0 ) def test_add_new_customfield_value_should_send_api_post_create_signal(self): # noqa: E501 self._sig_called_with_instance = None def listener(sender, instance, **kwargs): self._sig_called_with_instance = instance api_post_create.connect(listener) url = reverse(self.list_view_name, args=(self.sm1.id,)) data = { 'value': 'qwerty', 'custom_field': self.custom_field_choices.id, } response = self.client.post(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertIsNotNone(self._sig_called_with_instance) self.assertEqual( self._sig_called_with_instance.id, response.data['id'] ) def test_add_new_customfield_value_by_attribute_name(self): expected = 'new-value' cf = CustomField.objects.create( name='by-attr', type=CustomFieldTypes.STRING, default_value='v' ) url = reverse(self.list_view_name, args=(self.sm1.id,)) data = { 'custom_field': cf.attribute_name, 'value': expected, } response = self.client.post(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) cfv = CustomFieldValue.objects.get(pk=response.data['id']) self.assertEqual(cfv.value, expected) def test_add_new_customfield_value_with_duplicated_customfield_should_not_pass(self): # noqa url = reverse(self.list_view_name, args=(self.sm1.id,)) data = { 'value': 'duplicate!', 'custom_field': self.custom_field_str.id, } response = self.client.post(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertIn( 'Custom field of the same type already exists for this object.', response.data['__all__'] ) def test_add_new_customfield_value_with_invalid_value_should_not_pass(self): url = reverse(self.list_view_name, args=(self.sm1.id,)) data = { 'value': 'invalid!', 'custom_field': self.custom_field_choices.id, } response = self.client.post(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertIn( 'Select a valid choice. invalid! is not one of the available choices.', # noqa response.data['__all__'] ) def test_update_customfield_value_should_pass(self): url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) data = { 'value': 'ytrewq', 'custom_field': self.custom_field_str.id, } response = self.client.put(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.cfv1.refresh_from_db() self.assertEqual(self.cfv1.object, self.sm1) self.assertEqual(self.cfv1.custom_field, self.custom_field_str) self.assertEqual(self.cfv1.value, 'ytrewq') def test_update_customfield_value_should_send_api_post_update_signal(self): self._sig_called_with_instance = None def listener(sender, instance, **kwargs): self._sig_called_with_instance = instance api_post_update.connect(listener) url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) data = { 'value': 'abc', 'custom_field': self.custom_field_str.id, } response = self.client.put(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertIsNotNone(self._sig_called_with_instance) self.assertEqual( self._sig_called_with_instance.id, response.data['id'] ) def test_update_customfield_value_with_duplicated_customfield_should_not_pass(self): # noqa url = reverse( self.detail_view_name, kwargs={'pk': self.cfv2.pk, 'object_pk': self.cfv2.object_id} ) data = { 'value': 'duplicate!', 'custom_field': self.custom_field_str.id, } response = self.client.put(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertIn( 'Custom field of the same type already exists for this object.', response.data['__all__'] ) def test_update_customfield_value_invalid_value_should_not_pass(self): url = reverse( self.detail_view_name, kwargs={'pk': self.cfv2.pk, 'object_pk': self.cfv2.object_id} ) data = { 'value': 'invalid!', 'custom_field': self.custom_field_choices.id, } response = self.client.put(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertIn( 'Select a valid choice. invalid! is not one of the available choices.', # noqa response.data['__all__'] ) def test_partial_update_value_should_pass(self): url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) data = { 'value': 'ytrewq', } response = self.client.patch(url, data=data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.cfv1.refresh_from_db() self.assertEqual(self.cfv1.object, self.sm1) self.assertEqual(self.cfv1.custom_field, self.custom_field_str) self.assertEqual(self.cfv1.value, 'ytrewq') def test_delete_custom_field_value(self): url = reverse( self.detail_view_name, kwargs={'pk': self.cfv1.pk, 'object_pk': self.cfv1.object_id} ) response = self.client.delete(url, format='json') self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) self.assertEqual( CustomFieldValue.objects.filter(pk=self.cfv1.pk).count(), 0 ) def test_filter_by_custom_field(self): url = '{}?{}'.format( reverse('{}-list'.format(SomeModel._meta.model_name)), 'customfield__test_str=sample_value' ) response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data['count'], 1)

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0.044807

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0

null

0

1

0

null

0

6

f69993a00d48e29fb845915d46f9225f2c4a9d53

32

py

Python

python/testData/optimizeImports/libraryRootInsideProject/main.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/optimizeImports/libraryRootInsideProject/main.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/optimizeImports/libraryRootInsideProject/main.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

import b import a print(a, b)

5.333333

11

0.65625

7

32

3

0.571429

0

0.25

32

5

12

6.4

0.875

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1

0

null

0

1

0

1

0

1

0

6

120b209dae282cc86fe025db5d889a3cfab762a1

861

py

Python

MersennePrime/threadedmath.py

rmamba/pyLucasLehmer

14ec2496e2f64b3aae21ff2629fbbab6fc78cca8

[ "MIT" ]

2

2020-03-18T20:28:14.000Z

2021-10-12T11:38:38.000Z

MersennePrime/threadedmath.py

rmamba/pyLucasLehmer

14ec2496e2f64b3aae21ff2629fbbab6fc78cca8

[ "MIT" ]

1

2018-07-08T18:50:28.000Z

2018-08-07T19:12:05.000Z

MersennePrime/threadedmath.py

rmamba/pyLucasLehmer

14ec2496e2f64b3aae21ff2629fbbab6fc78cca8

[ "MIT" ]

null

import threading import math class mul(threading.Thread): def __init__(self, idx, n, m): threading.Thread.__init__(self) self.idx = idx self.n = n self.m = m self.r = None def run(self): r = self.n * self.m self.r = [] self.r.append(r % 256) while r>255: r = int(math.floor(r / 256)) self.r.append(r % 256) class sub(threading.Thread): def __init__(self, idx, n, m): threading.Thread.__init__(self) self.idx = idx self.n = n self.m = m self.r = None def run(self): self.r = self.n - self.m # self.r = [] # self.r.append(r % 256) # while r>255: # r = int(math.floor(r / 256)) # self.r.append(r % 256) # if r>0: # self.r.append(r)

23.27027

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0.477352

122

861

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0.151899

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0.047259

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861

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0.32

0

null

0

1

0

null

0

6

124bf3e77de4a22a5d5ee9ea9112308f1d774a4b

132

py

Python

HackerRank Solutions/Python/Numpy/Zeros and Ones.py

DevashishPathrabe/Competetive-Coding

91049459359854b7834cbfb31415682600dc9c57

[ "MIT" ]

null

HackerRank Solutions/Python/Numpy/Zeros and Ones.py

DevashishPathrabe/Competetive-Coding

91049459359854b7834cbfb31415682600dc9c57

[ "MIT" ]

null

HackerRank Solutions/Python/Numpy/Zeros and Ones.py

DevashishPathrabe/Competetive-Coding

91049459359854b7834cbfb31415682600dc9c57

[ "MIT" ]

null

import numpy N = tuple(map(int, input().split())) print (numpy.zeros(N, dtype = numpy.int)) print (numpy.ones(N, dtype = numpy.int))

33

41

0.681818

22

132

4.090909

0.545455

0.222222

0.244444

0.311111

0

0.113636

132

4

42

33

0.769231

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1

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false

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0.25

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0

null

1

0

1

0

null

0

1

0

6

1257f4f24158a148035737ab064220be6911ed4b

2,689

py

Python

app/slack/tests/test_slack_util.py

NDevox/website

76004e667f2295eddd79d500ba21f02a0480412f

[ "Apache-2.0" ]

null

app/slack/tests/test_slack_util.py

NDevox/website

76004e667f2295eddd79d500ba21f02a0480412f

[ "Apache-2.0" ]

null

app/slack/tests/test_slack_util.py

NDevox/website

76004e667f2295eddd79d500ba21f02a0480412f

[ "Apache-2.0" ]

null

import pook import pytest from requests.exceptions import HTTPError from app.slack.util import ( SlackException, SlackClient, ) class TestSlackClient: @pook.post('https://slack.com/api/users.admin.invite', reply=400) def test_invite_raises_on_bad_response(self, slack_client: SlackClient): with pytest.raises(HTTPError): slack_client.invite('foo@gmail.com', []) assert pook.isdone() @pook.post('https://slack.com/api/users.admin.invite', reply=200, response_json=dict(ok=False, error='already_invited')) def test_invite_raises_on_not_ok(self, slack_client: SlackClient): with pytest.raises(SlackException): slack_client.invite('foo@gmail.com', []) assert pook.isdone() @pook.post('https://slack.com/api/users.admin.invite', reply=200, response_json=dict(ok=True)) def test_invite_returns_true_on_ok(self, slack_client: SlackClient): assert slack_client.invite('foo@gmail.com', []) assert pook.isdone() @pook.get('https://slack.com/api/users.list', reply=400) def test_members_raises_on_bad_response(self, slack_client: SlackClient): with pytest.raises(HTTPError): slack_client.members() assert pook.isdone() @pook.get('https://slack.com/api/users.list', reply=200, response_json=dict(ok=False, error='something')) def test_members_raises_on_not_ok(self, slack_client: SlackClient): with pytest.raises(SlackException): slack_client.members() assert pook.isdone() @pook.get('https://slack.com/api/users.list', reply=200, response_json=dict(ok=True, members=[])) def test_members_list_on_ok(self, slack_client: SlackClient): assert isinstance(slack_client.members(), list) assert pook.isdone() @pook.get('https://slack.com/api/channels.list', reply=400) def test_channels_raises_on_bad_response(self, slack_client: SlackClient): with pytest.raises(HTTPError): slack_client.channels() assert pook.isdone() @pook.get('https://slack.com/api/channels.list', reply=200, response_json=dict(ok=False, error='something')) def test_channels_raises_on_not_ok(self, slack_client: SlackClient): with pytest.raises(SlackException): slack_client.channels() assert pook.isdone() @pook.get('https://slack.com/api/channels.list', reply=200, response_json=dict(ok=True, channels=[])) def test_channels_list_on_ok(self, slack_client: SlackClient): assert isinstance(slack_client.channels(), list) assert pook.isdone()

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5.140762

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0.112949

0.066743

0.082145

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0.791215

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2,689

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40.134328

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0.25

0

null

0

1

0

null

0

6

89e16072b6b6f27f2fc669be7c5bb803538a74af

36

py

Python

goldsberry/team/__init__.py

motraor3/py-Goldsberry

fe238b07142cff64eda37e402bb003251af13f9b

[ "MIT" ]

268

2015-07-28T18:49:06.000Z

2022-03-06T03:08:18.000Z

goldsberry/team/__init__.py

motraor3/py-Goldsberry

fe238b07142cff64eda37e402bb003251af13f9b

[ "MIT" ]

24

2015-07-06T22:50:59.000Z

2021-07-05T05:10:26.000Z

goldsberry/team/__init__.py

motraor3/py-Goldsberry

fe238b07142cff64eda37e402bb003251af13f9b

[ "MIT" ]

85

2015-08-08T17:45:28.000Z

2021-11-10T09:35:26.000Z

from goldsberry.team._Team2 import *

36

0.833333

5

36

5.8

1

0

0.030303

0.083333

36

1

36

0.848485

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true

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null

0

1

0

1

0

1

0

6

89fcf7bb68a6abfc17cec5cbcb47ee7e8093c45b

154

py

Python

restaurantapi/admin.py

samueldaviddelacruz/restaurant_graphql_CRUD

9aba57cf68308e22263143f0b3b61dcea9d81199

[ "MIT" ]

null

restaurantapi/admin.py

samueldaviddelacruz/restaurant_graphql_CRUD

9aba57cf68308e22263143f0b3b61dcea9d81199

[ "MIT" ]

null

restaurantapi/admin.py

samueldaviddelacruz/restaurant_graphql_CRUD

9aba57cf68308e22263143f0b3b61dcea9d81199

[ "MIT" ]

null

from django.contrib import admin from . import models # Register your models here. admin.site.register(models.Category) admin.site.register(models.Dish)

22

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0.805195

22

154

5.636364

0.545455

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0.274194

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154

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6

c3b4b93df27bc5c1ac1d3481854d98eae74fbaad

116

py

Python

esmvalcore/cmor/_fixes/cmip6/cesm2_waccm.py

Peter9192/ESMValCore

febd96a39480cc837afbf4e1f5b0ef61571af76a

[ "Apache-2.0" ]

1

2019-11-28T13:09:42.000Z

esmvalcore/cmor/_fixes/cmip6/cesm2_waccm.py

Peter9192/ESMValCore

febd96a39480cc837afbf4e1f5b0ef61571af76a

[ "Apache-2.0" ]

null

esmvalcore/cmor/_fixes/cmip6/cesm2_waccm.py

Peter9192/ESMValCore

febd96a39480cc837afbf4e1f5b0ef61571af76a

[ "Apache-2.0" ]

1

2019-11-29T00:50:30.000Z

"""Fixes for CESM2-WACCM model.""" from .cesm2 import Tas as BaseTas class Tas(BaseTas): """Fixes for tas."""

16.571429

34

0.655172

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0.210526

0

0.021053

0.181034

116

6

35

19.333333

0.778947

0.37069

0

1

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true

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null

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0

1

0

1

0

6

7f0707a1dd0239bb048230740dc812bcee02df36

3,225

py

Python

GuessTheNumberJACKPOT.py

yoursamlan/GuessTheOutput

e918d5d45122abfabbf01091ba0535054cf58f98

[ "MIT" ]

1

2019-06-25T08:13:40.000Z

GuessTheNumberJACKPOT.py

yoursamlan/GuessTheOutput

e918d5d45122abfabbf01091ba0535054cf58f98

[ "MIT" ]

null

GuessTheNumberJACKPOT.py

yoursamlan/GuessTheOutput

e918d5d45122abfabbf01091ba0535054cf58f98

[ "MIT" ]

null

print("\n\n\n\n\n") print(" _____ _____ _____ _____ _____ _____ _____ _____ ") print(" | __|| | || __|| __|| __| |_ _|| | || __|") print(" | | || | || __||__ ||__ | | | | || __|") print(" |_____||_____||_____||_____||_____| |_| |__|__||_____|") print("\n") print(" U ___ u _ _ _____ ____ _ _ _____ ") print(" \/ _ \/ U | |u| | |_ _| U| _ \ u U | |u| | |_ _| ") print(" | | | | \| |\| | | | \| |_) |/ \| |\| | | | ") print(". -,_| |_| | | |_| | /| |\ | __/ | |_| | /| |\ ") print(" \_)-\___/ <<\___/ u |_|U |_| <<\___/ u |_|U ") print(" \\ (__) )( _// \\_ ||>>_ (__) )( _// \\_ ") print(" (__) (__) (__) (__) (__)__) (__) (__) (__) ") print("\n presents \n") print(" /$$$$$ /$$$$$$ /$$$$$$ /$$ /$$ /$$$$$$$ /$$$$$$ /$$$$$$$$") print(" |__ $$ /$$__ $$ /$$__ $$| $$ /$$/| $$__ $$ /$$__ $$|__ $$__/") print(" | $$| $$ \ $$| $$ \__/| $$ /$$/ | $$ \ $$| $$ \ $$ | $$ ") print(" | $$| $$$$$$$$| $$ | $$$$$/ | $$$$$$$/| $$ | $$ | $$ ") print(" /$$ | $$| $$__ $$| $$ | $$ $$ | $$____/ | $$ | $$ | $$ ") print("| $$ | $$| $$ | $$| $$ $$| $$\ $$ | $$ | $$ | $$ | $$ ") print("| $$$$$$/| $$ | $$| $$$$$$/| $$ \ $$| $$ | $$$$$$/ | $$ ") print(" \______/ |__/ |__/ \______/ |__/ \__/|__/ \______/ |__/ ") print("\n R O U N D \n") print("\n with Amlan \n\n") import random print('Input your name :') name = input() print('Hi ' + name + ' ! \n') print('Welcome you to the JACKPOT round \n\n') while True: print('You have to select a range between 0 to n') print('Remember n must be greater than 99 \n') print('Enter the value of n :') n = input() if int(n) > 99: print('Now guess a number between 0 to ' + str(n)+ ' :') guess = input() m = random.randint(0,int(n)) if int(guess) == int(m): print('Voila!! you hit the JACKPOT. Congrats :)') else: diff = int(m)-int(guess) if int(diff) < 0: print('OH NO! You just have to stop only before '+str(int(diff)*-1)+' steps to hit the JACKPOT') else: print('OH NO! You just have to go '+str(int(diff)*+1)+' more steps to hit the JACKPOT') print('Right guess would be ' + str(m)) #REPLAY----------------------------------------------------------------- print('Want to play again ? (press y)') ans = input() if ans == 'y': continue else: break else: print("JACKPOT round will not work if n < 99")

47.426471

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7f0faa5381c30abd10334b9296ec14c2418fbc2d

301

py

Python

bitmovin_api_sdk/encoding/manifests/dash/periods/adaptationsets/representations/mp4/drm/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/manifests/dash/periods/adaptationsets/representations/mp4/drm/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/manifests/dash/periods/adaptationsets/representations/mp4/drm/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.manifests.dash.periods.adaptationsets.representations.mp4.drm.drm_api import DrmApi from bitmovin_api_sdk.encoding.manifests.dash.periods.adaptationsets.representations.mp4.drm.dash_mp4_drm_representation_list_query_params import DashMp4DrmRepresentationListQueryParams

100.333333

185

0.913621

37

301

7.135135

0.513514

0.068182

0.113636

0.136364

0.613636

0

0.013652

0.026578

301

2

186

150.5

0.887372

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

6

6140a6f0755c4d8977a0d2065ff56d7cb56c3beb

118

py

Python

titan/tools_pkg/pudb/resources.py

mnieber/gen

65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9

[ "MIT" ]

null

titan/tools_pkg/pudb/resources.py

mnieber/gen

65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9

[ "MIT" ]

null

titan/tools_pkg/pudb/resources.py

mnieber/gen

65f8aa4fb671c4f90d5cbcb1a0e10290647a31d9

[ "MIT" ]

null

from dataclasses import dataclass from titan.project_pkg.service import Tool @dataclass class Pudb(Tool): pass

13.111111

42

0.788136

16

118

5.75

0.75

0

0.161017

118

8

43

14.75

0.929293

0

1

0

true

0.2

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

6

61437615c52f082503a4419bbb4174110894c3ec

45

py

Python

cuda_test.py

rupeshshrestha123/end2end-asr-pytorch-nepali

f9114c38b3c5a43043ec92a20b7dfb278929d19f

[ "MIT" ]

null

cuda_test.py

rupeshshrestha123/end2end-asr-pytorch-nepali

f9114c38b3c5a43043ec92a20b7dfb278929d19f

[ "MIT" ]

null

cuda_test.py

rupeshshrestha123/end2end-asr-pytorch-nepali

f9114c38b3c5a43043ec92a20b7dfb278929d19f

[ "MIT" ]

null

import torch print(torch.cuda.device_count())

22.5

32

0.822222

7

45

5.142857

0.857143

0

0.044444

45

2

32

22.5

0.837209

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

6161b6f4c0801bb90ffe81539148d70e44baade9

6,616

py

Python

lsml/core/test/test_datasets_handler.py

sandeepdas05/lsm-crack-width

38460e514d48f3424bb8d3bd58cb3eb330153e64

[ "BSD-3-Clause" ]

24

2020-01-30T15:53:33.000Z

2022-01-15T09:46:24.000Z

lsml/core/test/test_datasets_handler.py

sandeepdas05/lsm-crack-width

38460e514d48f3424bb8d3bd58cb3eb330153e64

[ "BSD-3-Clause" ]

null

lsml/core/test/test_datasets_handler.py

sandeepdas05/lsm-crack-width

38460e514d48f3424bb8d3bd58cb3eb330153e64

[ "BSD-3-Clause" ]

13

2019-12-05T08:32:11.000Z

2022-03-20T03:12:03.000Z

import os import unittest import numpy import skfmm from lsml.core.datasets_handler import DatasetsHandler class TestDatasetsHandler(unittest.TestCase): def setUp(self): self.random_state = numpy.random.RandomState(1234) def test_no_data_at_init(self): with self.assertRaises(ValueError): # If the provided h5 file doesn't exist, then data must be supplied DatasetsHandler(h5_file='this file does not exist') def test_data_size_mismatches(self): n_examples = 3 n_dim = 3 # Create some fake image data imgs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) for _ in range(n_examples) ] # Create some fake segmentation data segs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) > 0 for _ in range(n_examples) ] h5_file = 'tmp.h5' try: with self.assertRaises(ValueError): DatasetsHandler(h5_file=h5_file, imgs=imgs, segs=segs) finally: # If the test was successful and the exception was raised, # then this file should not have been created; but, if the test # failed, it may have been created and should be deleted. if os.path.exists(h5_file): os.remove(h5_file) def test_data_wrong_img_dtype(self): n_examples = 3 n_dim = 3 # Create some fake image data imgs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) > 0 for _ in range(n_examples) ] # Create some fake segmentation data segs = [ imgs[i] > 0 for i in range(n_examples) ] h5_file = 'tmp.h5' try: with self.assertRaises(TypeError): DatasetsHandler(h5_file=h5_file, imgs=imgs, segs=segs) finally: if os.path.exists(h5_file): os.remove(h5_file) def test_data_wrong_seg_dtype(self): n_examples = 3 n_dim = 3 # Create some fake image data imgs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) for _ in range(n_examples) ] # Create some fake segmentation data segs = [ imgs[i] for i in range(n_examples) ] h5_file = 'tmp.h5' try: with self.assertRaises(TypeError): DatasetsHandler(h5_file=h5_file, imgs=imgs, segs=segs) finally: if os.path.exists(h5_file): os.remove(h5_file) def test_wrong_img_ndim(self): n_examples = 3 n_dim = 3 # Create some fake image data imgs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) for _ in range(n_examples) ] imgs[0] = self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim-1)) # Create some fake segmentation data segs = [ imgs[i] > 0 for i in range(n_examples) ] h5_file = 'tmp.h5' try: with self.assertRaises(ValueError): DatasetsHandler(h5_file=h5_file, imgs=imgs, segs=segs) finally: if os.path.exists(h5_file): os.remove(h5_file) def test_wrong_seg_ndim(self): n_examples = 3 n_dim = 3 # Create some fake image data imgs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) for _ in range(n_examples) ] # Create some fake segmentation data segs = [ imgs[i] > 0 for i in range(n_examples) ] segs[0] = numpy.ones((4,), dtype=numpy.bool) h5_file = 'tmp.h5' try: with self.assertRaises(ValueError): DatasetsHandler(h5_file=h5_file, imgs=imgs, segs=segs) finally: if os.path.exists(h5_file): os.remove(h5_file) def test_wrong_dx_shape(self): n_examples = 3 n_dim = 3 # Create some fake image data imgs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) for _ in range(n_examples) ] # Create some fake segmentation data segs = [ imgs[i] > 0 for i in range(n_examples) ] h5_file = 'tmp.h5' dx = self.random_state.rand(n_examples, n_dim+1) try: with self.assertRaises(ValueError): DatasetsHandler(h5_file=h5_file, imgs=imgs, segs=segs, dx=dx) finally: if os.path.exists(h5_file): os.remove(h5_file) def test_convert_to_hdf5_valid(self): n_examples = 3 n_dim = 3 # Create some fake image data imgs = [ self.random_state.randn( *self.random_state.randint(10, 41, size=n_dim)) for _ in range(n_examples) ] # Create some fake segmentation data segs = [ imgs[i] > 0 for i in range(n_examples) ] h5_file = 'tmp.h5' dx = self.random_state.rand(n_examples, n_dim) try: datasets_mgmt = DatasetsHandler( h5_file=h5_file, imgs=imgs, segs=segs, dx=dx) for example in datasets_mgmt.iterate_examples(): index = example.index # Manually compute the distance transform dist = skfmm.distance(2*segs[index].astype(float)-1, dx=dx[index]) # Assert image integrity self.assertLess( numpy.linalg.norm(imgs[index] - example.img), 1e-8) # Assert segmentation integrity self.assertEqual(0, (segs[index] != example.seg).sum()) # Assert distance transform integrity self.assertLess( numpy.linalg.norm(dist - example.dist), 1e-8) # Assert delta term integrity self.assertLess( numpy.linalg.norm(dx[index] - example.dx), 1e-8) finally: if os.path.exists(h5_file): os.remove(h5_file)

27.114754

79

0.533706

792

6,616

4.284091

0.159091

0.065429

0.092838

0.066018

0.737106

0.703507

0

0.02929

0.380744

6,616

243

80

27.226337

0.798877

0.126663

0

0.701863

0

0.01147

0

0.068323

1

0.055901

false

0

0.031056

0

0.093168

0

null

0

1

0

1

0

null

0

6

61a05ed5473d65aa40f015be222967e88e003bc5

126

py

Python

20_unit_testing/lectures/1_testing_equality/functions.py

gdia/The-Complete-Python-Course

ed375b65242249bc749c3e292a6149f8528b9dcf

[ "MIT" ]

29

2019-09-02T21:15:59.000Z

2022-01-14T02:20:05.000Z

20_unit_testing/lectures/1_testing_equality/functions.py

gdia/The-Complete-Python-Course

ed375b65242249bc749c3e292a6149f8528b9dcf

[ "MIT" ]

2

2020-08-20T05:48:36.000Z

2021-06-02T03:16:31.000Z

20_unit_testing/lectures/1_testing_equality/functions.py

gdia/The-Complete-Python-Course

ed375b65242249bc749c3e292a6149f8528b9dcf

[ "MIT" ]

38

2019-10-20T14:29:12.000Z

2022-03-27T19:50:05.000Z

from typing import Union def divide(dividend: Union[int, float], divisor: Union[int, float]): return dividend / divisor

21

68

0.730159

17

126

5.411765

0.647059

0.173913

0.282609

0

0.166667

126

5

69

25.2

0.87619

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

4ee7b6d3b7d85c654c05186bf0864f21a577b9fb

13,181

py

Python

tests/test_struct.py

pamwenlong/JceStruct

d2185c0b31df5eab381668e4ef6c226cf502a06f

[ "MIT" ]

24

2021-01-05T02:31:33.000Z

2022-02-19T13:25:46.000Z

tests/test_struct.py

pamwenlong/JceStruct

d2185c0b31df5eab381668e4ef6c226cf502a06f

[ "MIT" ]

2

2021-03-21T13:23:09.000Z

2021-06-15T13:01:56.000Z

tests/test_struct.py

pamwenlong/JceStruct

d2185c0b31df5eab381668e4ef6c226cf502a06f

[ "MIT" ]

6

2021-06-07T09:38:46.000Z

2022-01-07T15:39:34.000Z

import unittest from typing import List from jce import JceField, JceStruct, types class SsoServerInfo(JceStruct): server: types.STRING = JceField(jce_id=1) port: types.INT = JceField(jce_id=2) location: types.STRING = JceField(jce_id=8) extra: str extra_default: str = "extra" class ServerListResponse(JceStruct): server_list: types.LIST[SsoServerInfo] = JceField(jce_id=2) class TestStruct(unittest.TestCase): def test_struct_encode(self): byte = SsoServerInfo( server="rcnb", port=8000, location="rcnb", extra="xxx" ).encode() self.assertEqual( byte, bytes.fromhex("16 04 72 63 6e 62 21 1f 40 86 04 72 63 6e 62") ) def test_struct_decode(self): a = SsoServerInfo.decode( bytes.fromhex("16 04 72 63 6e 62 21 1f 40 86 04 72 63 6e 62"), extra="xxx", ) b = SsoServerInfo( server="rcnb", port=8000, location="rcnb", extra="xxx" ) self.assertEqual(a, b) def test_struct_nested_encode(self): raw = ServerListResponse.parse_obj( { "server_list": [ { "server": "193.112.231.60", "port": 8080, "location": "sz", "extra": "xxx", }, { "server": "42.81.172.215", "port": 8080, "location": "tj", "extra": "xxx", }, { "server": "14.22.3.114", "port": 8080, "location": "sz", "extra": "xxx", }, { "server": "14.215.138.110", "port": 443, "location": "sz", "extra": "xxx", }, { "server": "42.81.169.100", "port": 80, "location": "tj", "extra": "xxx", }, { "server": "114.221.144.76", "port": 14000, "location": "sh", "extra": "xxx", }, { "server": "113.96.12.224", "port": 443, "location": "sz", "extra": "xxx", }, { "server": "42.81.170.122", "port": 8080, "location": "tj", "extra": "xxx", }, { "server": "114.221.148.67", "port": 80, "location": "sh", "extra": "xxx", }, { "server": "msfwifi.3g.qq.com", "port": 8080, "location": "others", "extra": "xxx", }, { "server": "42.81.172.63", "port": 80, "location": "tj", "extra": "xxx", }, ] } ) encoded = bytes.fromhex( "29000B0A160E3139332E3131322E3233312E3630211F908602737A0B" "0A160D34322E38312E3137322E323135211F908602746A0B0A160B31" "342E32322E332E313134211F908602737A0B0A160E31342E3231352E" "3133382E3131302101BB8602737A0B0A160D34322E38312E3136392E" "31303020508602746A0B0A160E3131342E3232312E3134342E373621" "36B0860273680B0A160D3131332E39362E31322E3232342101BB8602" "737A0B0A160D34322E38312E3137302E313232211F908602746A0B0A" "160E3131342E3232312E3134382E36372050860273680B0A16116D73" "66776966692E33672E71712E636F6D211F9086066F74686572730B0A" "160C34322E38312E3137322E363320508602746A0B" ) self.assertEqual(raw.encode(), encoded) def test_struct_nested_decode(self): raw = ServerListResponse.parse_obj( { "server_list": [ { "server": "193.112.231.60", "port": 8080, "location": "sz", "extra": "xxx", }, { "server": "42.81.172.215", "port": 8080, "location": "tj", "extra": "xxx", }, { "server": "14.22.3.114", "port": 8080, "location": "sz", "extra": "xxx", }, { "server": "14.215.138.110", "port": 443, "location": "sz", "extra": "xxx", }, { "server": "42.81.169.100", "port": 80, "location": "tj", "extra": "xxx", }, { "server": "114.221.144.76", "port": 14000, "location": "sh", "extra": "xxx", }, { "server": "113.96.12.224", "port": 443, "location": "sz", "extra": "xxx", }, { "server": "42.81.170.122", "port": 8080, "location": "tj", "extra": "xxx", }, { "server": "114.221.148.67", "port": 80, "location": "sh", "extra": "xxx", }, { "server": "msfwifi.3g.qq.com", "port": 8080, "location": "others", "extra": "xxx", }, { "server": "42.81.172.63", "port": 80, "location": "tj", "extra": "xxx", }, ] } ) encoded = bytes.fromhex( "100129000B0A160E3139332E3131322E3233312E3630211F9030014C" "5C600870018602737A96066F74686572730B0A160D34322E38312E31" "37322E323135211F9030014C5C600870018602746A960374656C0B0A" "160B31342E32322E332E313134211F9030014C5C600870018602737A" "960374656C0B0A160E31342E3231352E3133382E3131302101BB3001" "4C5C600870018602737A960374656C0B0A160D34322E38312E313639" "2E313030205030014C5C600870018602746A960374656C0B0A160E31" "31342E3232312E3134342E37362136B030014C5C6008700186027368" "960374656C0B0A160D3131332E39362E31322E3232342101BB30014C" "5C600870018602737A960374656C0B0A160D34322E38312E3137302E" "313232211F9030014C5C600870018602746A960374656C0B0A160E31" "31342E3232312E3134382E3637205030014C5C600870018602736896" "0374656C0B0A16116D7366776966692E33672E71712E636F6D211F90" "30014C5C60087C86066F746865727396066F74686572730B0A160C34" "322E38312E3137322E3633205030014C5C600870018602746A960374" "656C0B39000B0A160E3139332E3131322E3233312E3630211F903001" "4C5C600870018602737A96066F74686572730B0A160D34322E38312E" "3137322E323135211F9030014C5C600870018602746A960374656C0B" "0A160B31342E32322E332E313134211F9030014C5C60087001860273" "7A960374656C0B0A160E31342E3231352E3133382E3131302101BB30" "014C5C600870018602737A960374656C0B0A160D34322E38312E3136" "392E313030205030014C5C600870018602746A960374656C0B0A160E" "3131342E3232312E3134342E37362136B030014C5C60087001860273" "68960374656C0B0A160D3131332E39362E31322E3232342101BB3001" "4C5C600870018602737A960374656C0B0A160D34322E38312E313730" "2E313232211F9030014C5C600870018602746A960374656C0B0A160E" "3131342E3232312E3134382E3637205030014C5C6008700186027368" "960374656C0B0A16116D7366776966692E33672E71712E636F6D211F" "9030014C5C60087C86066F746865727396066F74686572730B0A160C" "34322E38312E3137322E3633205030014C5C600870018602746A9603" "74656C0B425FE636545138406C7C80029005ACBCC900050A160E3130" "392E3234342E3132392E3135205030014C500360087C8602737A9606" "6F74686572730B0A160D34322E38312E3136392E313035205030014C" "500360087C8602746A960374656C0B0A160C3131332E39362E31332E" "3434205030014C500360087C8602737A960374656C0B0A160E313134" "2E3232312E3134342E3232205030014C500360087C86027368960374" "656C0B0A160D34322E38312E3136392E313035205030014C50036008" "7C8602746A960374656C0BD900050A160E3130392E3234342E313239" "2E3135205030014C500360087C8602737A96066F74686572730B0A16" "0D34322E38312E3136392E313035205030014C500360087C8602746A" "960374656C0B0A160C3131332E39362E31332E3434205030014C5003" "60087C8602737A960374656C0B0A160E3131342E3232312E3134342E" "3232205030014C500360087C86027368960374656C0B0A160D34322E" "38312E3136392E313035205030014C500360087C8602746A96037465" "6C0BED000CF90F0CF9100CF9110CF01202F113FF38F6142832303230" "2D31322D32352032323A35383A32382064656C6976657279696E6720" "6120706F6C696379" ) self.assertEqual(ServerListResponse.decode(encoded, extra="xxx"), raw) def test_sruct_list_decode(self): encoded = bytes.fromhex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self.assertEqual( len(SsoServerInfo.decode_list(encoded, 2, extra="xxx")), 11 ) if __name__ == "__main__": unittest.main()

50.696154

2,606

0.584781

503

13,181

15.260437

0.316103

0.02814

0.036477

0.01876

0.167535

0.161282

0.147994

0

0.606787

0.344966

13,181

259

2,607

50.891892

0.282256

0

0.402439

0

0.516198

0.433503

0

1

0

0.020325

1

0.020325

false

0

0.012195

0

0.069106

0

1

null

0

1

0

1

0

1

0

1

null

1

0

6

f6255b6300e9c51297f4963e202b90bb8ca1cdea

171

py

Python

singer_db/markdown_table_parser/__init__.py

aaronsteers/singer-index

84fdfa2c8d132ed22d8e250e037a6159a50f92dd

[ "MIT" ]

7

2020-08-28T20:08:02.000Z

2020-10-07T08:24:09.000Z

singer_db/markdown_table_parser/__init__.py

aaronsteers/singer-index

84fdfa2c8d132ed22d8e250e037a6159a50f92dd

[ "MIT" ]

null

singer_db/markdown_table_parser/__init__.py

aaronsteers/singer-index

84fdfa2c8d132ed22d8e250e037a6159a50f92dd

[ "MIT" ]

null

"""A simple markdown table parser.""" from singer_db.markdown_table_parser.main import parse_from_string, parse_from_file __all__ = [parse_from_string, parse_from_file]

28.5

83

0.824561

26

171

4.846154

0.538462

0.285714

0.301587

0.31746

0.444444

0

0.093567

171

5

84

34.2

0.812903

0.181287

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

f62faa5e2156701b257592c1d65016e3301d8437

244

py

Python

app/public/__init__.py

mbugerald/MTN-MobileMoney-Python

ff3194e9c4e8c512c7a426c0f29ee3d2da054362

[ "MIT" ]

null

app/public/__init__.py

mbugerald/MTN-MobileMoney-Python

ff3194e9c4e8c512c7a426c0f29ee3d2da054362

[ "MIT" ]

null

app/public/__init__.py

mbugerald/MTN-MobileMoney-Python

ff3194e9c4e8c512c7a426c0f29ee3d2da054362

[ "MIT" ]

null

# Lib imports from flask import Blueprint from .views.globals import GlobalViews # Init blueprint public_blueprint = Blueprint('public_blueprint', __name__, url_prefix='/') # Register views to blueprint GlobalViews.register(public_blueprint)

24.4

74

0.811475

29

244

6.551724

0.551724

0.236842

0.252632

0

0.110656

244

9

75

27.111111

0.875576

0.221311

0

0.091398

0

1

0

false

0

0.5

0

0.5

0.75

1

0

null

1

0

1

0

null

0

1

0

1

0

6

f652f30e1ae521cfff77051510050aab6089ec68

1,482

py

Python

data/train/python/f652f30e1ae521cfff77051510050aab6089ec68NaoBroker.py

harshp8l/deep-learning-lang-detection

2a54293181c1c2b1a2b840ddee4d4d80177efb33

[ "MIT" ]

84

2017-10-25T15:49:21.000Z

2021-11-28T21:25:54.000Z

data/train/python/f652f30e1ae521cfff77051510050aab6089ec68NaoBroker.py

vassalos/deep-learning-lang-detection

cbb00b3e81bed3a64553f9c6aa6138b2511e544e

[ "MIT" ]

5

2018-03-29T11:50:46.000Z

2021-04-26T13:33:18.000Z

data/train/python/f652f30e1ae521cfff77051510050aab6089ec68NaoBroker.py

vassalos/deep-learning-lang-detection

cbb00b3e81bed3a64553f9c6aa6138b2511e544e

[ "MIT" ]

24

2017-11-22T08:31:00.000Z

2022-03-27T01:22:31.000Z

import roslib; roslib.load_manifest( 'nao_core' ); import rospy; import sys; from naoqi import ALBroker; class NaoBroker( object ): """ NaoBroker """ BROKER_IP = '0.0.0.0'; BROKER_PORT = 0; def __init__( self, parentIp, parentPort ): self.parentIp = parentIp; self.parentPort = parentPort; # Create a broker. try: self.broker = ALBroker( 'nao_utils_broker_{id}'.format( id = id( self ) ), self.BROKER_IP, self.BROKER_PORT, self.parentIp, self.parentPort ); except RuntimeError, e: rospy.logerr( 'Unable to create a proxy to the NaoQi broker on {parentIp}:{parentPort}.'.format( parentIp = self.parentIp, parentPort = self.parentPort ) ); sys.exit( 1 ); ''' instance = None; def __init__( self, parentIp, parentPort ): if( NaoBroker.instance == None ): self.parentIp = parentIp; self.parentPort = parentPort; # Create a broker. try: self.broker = ALBroker( 'nao_utils_broker_{id}'.format( id = id( self ) ), self.BROKER_IP, self.BROKER_PORT, self.parentIp, self.parentPort ); except RuntimeError, e: rospy.logerr( 'Unable to create a proxy to the NaoQi broker on {parentIp}:{parentPort}.'.format( parentIp = self.parentIp, parentPort = self.parentPort ) ); sys.exit( 1 ); NaoBroker.instance = self; '''

34.465116

172

0.591093

163

1,482

5.239264

0.263804

0.112412

0.103045

0.091335

0.779859

0.711944

0

0.006686

0.293522

1,482

43

173

34.465116

0.808978

0.010796

0

0.148966

0.062069

0

null

0

0.25

null

0

null

0

1

0

null

0

1

0

6

f65e723772d5e03d2da8e9fcd15739bb5903035d

98

py

Python

tests/backend/test_parsers.py

UHH-CIW-Project2020/SMARTSexplore

3969e33ab0c52ab6da3ed1792696c049786d71ca

[ "MIT" ]

1

2021-04-07T12:38:15.000Z

tests/backend/test_parsers.py

UHH-CIW-Project2020/SMARTSexplore

3969e33ab0c52ab6da3ed1792696c049786d71ca

[ "MIT" ]

null

tests/backend/test_parsers.py

UHH-CIW-Project2020/SMARTSexplore

3969e33ab0c52ab6da3ed1792696c049786d71ca

[ "MIT" ]

2

2021-03-28T14:40:46.000Z

2021-04-09T09:04:39.000Z

from smartsexplore.parsers import parse_smartscompare #def test_parse_smartscompare(session):

24.5

54

0.846939

11

98

7.272727

0.818182

0.45

0

0.102041

98

3

55

32.666667

0.909091

0.387755

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

9cf2df40c34d7654d2e18cbf5c4fab92dd18b947

110

py

Python

src/subscription/exceptions.py

nffdiogosilva/subscription

13f22c275a777a1a0e42a8cd8b1221be2c3ff94b

[ "MIT" ]

null

src/subscription/exceptions.py

nffdiogosilva/subscription

13f22c275a777a1a0e42a8cd8b1221be2c3ff94b

[ "MIT" ]

89

2019-09-07T13:36:38.000Z

2021-06-02T00:32:06.000Z

src/subscription/exceptions.py

nffdiogosilva/subscription

13f22c275a777a1a0e42a8cd8b1221be2c3ff94b

[ "MIT" ]

null

class CustomerAddWebsitePermissionDenied(Exception): pass class ObjectDoesNotExist(Exception): pass

15.714286

52

0.8

8

110

11

0.625

0.295455

0

0.145455

110

6

53

18.333333

0.93617

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

6

140685ac052e2de3d3d0b797ef46d75475ba4c8b

330

py

Python

datamontagweb/root/views.py

selintunr/datamongit

35f4f7a1ab7e6e2c66b956992e6d91cd68885a38

[ "MIT" ]

null

datamontagweb/root/views.py

selintunr/datamongit

35f4f7a1ab7e6e2c66b956992e6d91cd68885a38

[ "MIT" ]

null

datamontagweb/root/views.py

selintunr/datamongit

35f4f7a1ab7e6e2c66b956992e6d91cd68885a38

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponseRedirect import requests # Create your views here. def index(request): return render(request, 'index.html') def indexen(request): return render(request, 'index-en.html') def member(request): return render(request, 'member.html')

20.625

49

0.724242

41

330

5.829268

0.487805

0.16318

0.238494

0.32636

0.259414

0

0.178788

330

16

49

20.625

0.881919

0.069697

0

0.111111

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

6

145c7a06a10ec1db0084bbef5f086b10db86af53

51

py

Python

modules/OCR/__init__.py

earlybackhome/You-cannot-guess

8674b9c089321835205c75cbc2b36ca4fd9a5b80

[ "MIT" ]

21

2017-05-25T09:03:23.000Z

2021-12-27T13:02:52.000Z

modules/OCR/__init__.py

earlybackhome/You-cannot-guess

8674b9c089321835205c75cbc2b36ca4fd9a5b80

[ "MIT" ]

null

modules/OCR/__init__.py

earlybackhome/You-cannot-guess

8674b9c089321835205c75cbc2b36ca4fd9a5b80

[ "MIT" ]

4

2017-06-19T13:50:54.000Z

2020-12-12T15:51:37.000Z

print('successfully from %s imported'%__package__)

25.5

50

0.803922

6

51

6.166667

1

0

0.078431

51

1

51

0.787234

0

0.568627

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6