xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

ce30803a616ae9ef2a49fa7b7f6a9b1c49fff5c6

2,584

py

Python

tests/check_framework/test_model_field_deprecation.py

bpeschier/django

f54c0ec06e390dc5bce95fdccbcb51d6423da4f9

[ "BSD-3-Clause" ]

3

2020-05-30T17:08:51.000Z

2021-12-14T02:55:19.000Z

tests/check_framework/test_model_field_deprecation.py

bpeschier/django

f54c0ec06e390dc5bce95fdccbcb51d6423da4f9

[ "BSD-3-Clause" ]

1

2021-03-24T12:21:05.000Z

2021-03-24T12:31:52.000Z

tests/check_framework/test_model_field_deprecation.py

bpeschier/django

f54c0ec06e390dc5bce95fdccbcb51d6423da4f9

[ "BSD-3-Clause" ]

15

2016-01-08T14:28:41.000Z

2019-04-19T08:33:31.000Z

from django.core import checks from django.db import models from django.test import SimpleTestCase from .tests import IsolateModelsMixin class TestDeprecatedField(IsolateModelsMixin, SimpleTestCase): def test_default_details(self): class MyField(models.Field): system_check_deprecated_details = {} class Model(models.Model): name = MyField() model = Model() self.assertEqual(model.check(), [ checks.Warning( msg='MyField has been deprecated.', hint=None, obj=Model._meta.get_field('name'), id='fields.WXXX', ) ]) def test_user_specified_details(self): class MyField(models.Field): system_check_deprecated_details = { 'msg': 'This field is deprecated and will be removed soon.', 'hint': 'Use something else.', 'id': 'fields.W999', } class Model(models.Model): name = MyField() model = Model() self.assertEqual(model.check(), [ checks.Warning( msg='This field is deprecated and will be removed soon.', hint='Use something else.', obj=Model._meta.get_field('name'), id='fields.W999', ) ]) class TestRemovedField(IsolateModelsMixin, SimpleTestCase): def test_default_details(self): class MyField(models.Field): system_check_removed_details = {} class Model(models.Model): name = MyField() model = Model() self.assertEqual(model.check(), [ checks.Error( msg='MyField has been removed except for support in historical migrations.', hint=None, obj=Model._meta.get_field('name'), id='fields.EXXX', ) ]) def test_user_specified_details(self): class MyField(models.Field): system_check_removed_details = { 'msg': 'Support for this field is gone.', 'hint': 'Use something else.', 'id': 'fields.E999', } class Model(models.Model): name = MyField() model = Model() self.assertEqual(model.check(), [ checks.Error( msg='Support for this field is gone.', hint='Use something else.', obj=Model._meta.get_field('name'), id='fields.E999', ) ])

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2,584

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2,584

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0

null

0

1

0

null

0

6

0219d9f72d6070aaab90e3159f9208b58ece5172

40

py

Python

PapaGraph/src/PapaGraph/sample/__init__.py

thalyson004/PapaGraph

429d0f0861ead8f1971958aacb4bf12ced013600

[ "MIT" ]

null

PapaGraph/src/PapaGraph/sample/__init__.py

thalyson004/PapaGraph

429d0f0861ead8f1971958aacb4bf12ced013600

[ "MIT" ]

null

PapaGraph/src/PapaGraph/sample/__init__.py

thalyson004/PapaGraph

429d0f0861ead8f1971958aacb4bf12ced013600

[ "MIT" ]

null

from PapaGraph.sample.handmande import *

40

0.85

5

40

6.8

1

0

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40

1

40

0.918919

0

1

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null

0

1

0

1

0

1

0

6

021db2c66644b9600729556073c72e3b267d121f

58

py

Python

book-code/numpy-ml/numpy_ml/preprocessing/__init__.py

yangninghua/code_library

b769abecb4e0cbdbbb5762949c91847a0f0b3c5a

[ "MIT" ]

null

book-code/numpy-ml/numpy_ml/preprocessing/__init__.py

yangninghua/code_library

b769abecb4e0cbdbbb5762949c91847a0f0b3c5a

[ "MIT" ]

null

book-code/numpy-ml/numpy_ml/preprocessing/__init__.py

yangninghua/code_library

b769abecb4e0cbdbbb5762949c91847a0f0b3c5a

[ "MIT" ]

null

from . import general from . import nlp from . import dsp

14.5

21

0.741379

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58

4.777778

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0.206897

58

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19.333333

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null

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1

0

1

0

1

0

6

0272bcc4054f83ae4a8afcce79187fa7509180da

224

py

Python

playground/step4/jhML/__init__.py

jhson989/jhML

eb8b76d3b47df858e82cd971bb32794e12de4747

[ "Apache-2.0" ]

null

playground/step4/jhML/__init__.py

jhson989/jhML

eb8b76d3b47df858e82cd971bb32794e12de4747

[ "Apache-2.0" ]

null

playground/step4/jhML/__init__.py

jhson989/jhML

eb8b76d3b47df858e82cd971bb32794e12de4747

[ "Apache-2.0" ]

null

from jhML.core import Variable from jhML.core import Function from jhML.functions import setup_variable from jhML.config import using_config from jhML.config import no_grad from jhML.config import Config setup_variable()

20.363636

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224

5.257143

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0.326087

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1

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1

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6

5a18e3511fbffc03ebf1419cf7a073b1a46a0e84

267

py

Python

account/forms.py

Zeble1603/cv-django

329d8d471c92dc0ce5f4bfb2bb5212fc1c8c34b4

[ "MIT" ]

1

2021-10-19T21:22:38.000Z

account/forms.py

Zeble1603/cv-django

329d8d471c92dc0ce5f4bfb2bb5212fc1c8c34b4

[ "MIT" ]

null

account/forms.py

Zeble1603/cv-django

329d8d471c92dc0ce5f4bfb2bb5212fc1c8c34b4

[ "MIT" ]

null

from django import forms from django.contrib.auth.forms import AuthenticationForm from django.contrib.auth.models import User class CustomLoginForm(AuthenticationForm): class Meta: model = User fiels = ['username','password']

22.25

56

0.692884

28

267

6.607143

0.571429

0.162162

0.183784

0.227027

0

0.235955

267

12

57

22.25

0.906863

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null

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0

null

0

1

0

1

0

6

5a65678ea518f85abf324edc56a4740ad72c3fe6

85

py

Python

utils/utils.py

tuzhucheng/sent-sim

ebda09322be1dca3e967b80ffcf6437adb789132

[ "MIT" ]

109

2017-12-09T04:52:06.000Z

2022-02-08T17:41:37.000Z

utils/utils.py

tuzhucheng/sent-sim

ebda09322be1dca3e967b80ffcf6437adb789132

[ "MIT" ]

5

2018-06-05T01:50:02.000Z

2021-03-14T04:45:02.000Z

utils/utils.py

tuzhucheng/sent-sim

ebda09322be1dca3e967b80ffcf6437adb789132

[ "MIT" ]

24

2018-04-27T01:52:34.000Z

2021-12-21T09:21:26.000Z

import torch def save_checkpoint(state, filename): torch.save(state, filename)

14.166667

37

0.752941

11

85

5.727273

0.636364

0.412698

0

0.152941

85

5

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1

0.333333

false

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0.333333

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null

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0

null

0

1

0

1

0

1

0

6

0c80f148b42f75fc26a4a88f9a3fab7c28807bb8

101

py

Python

lib_import/exceptions.py

fannydufresne/lib_import

7105fa5e054d4008eddc79c1b02b397e41f7a45f

[ "Apache-2.0" ]

null

lib_import/exceptions.py

fannydufresne/lib_import

7105fa5e054d4008eddc79c1b02b397e41f7a45f

[ "Apache-2.0" ]

4

2021-03-19T10:23:02.000Z

2022-02-10T11:24:29.000Z

lib_import/exceptions.py

fannydufresne/lib_import

7105fa5e054d4008eddc79c1b02b397e41f7a45f

[ "Apache-2.0" ]

null

"""Usefull error classes.""" class ImportError(Exception): """A generic exception.""" pass

14.428571

30

0.643564

10

101

6.5

0.9

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101

6

31

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true

0.5

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null

0

1

0

1

0

6

0c9e7c80b6e06a7d2b1d111440377b9a7a94204f

199

py

Python

tests/test_queries.py

kingoodie/py2gds

1c264968da13c7330e8181b54a8bcc3bf233dd1a

[ "MIT" ]

null

tests/test_queries.py

kingoodie/py2gds

1c264968da13c7330e8181b54a8bcc3bf233dd1a

[ "MIT" ]

1

2021-03-09T12:09:35.000Z

tests/test_queries.py

kingoodie/py2gds

1c264968da13c7330e8181b54a8bcc3bf233dd1a

[ "MIT" ]

null

from py2gds.connection import Connection from py2gds.queries import MatchNode def test_create_node(graph_connection: Connection, home_page): assert MatchNode(graph_connection, home_page).run()

28.428571

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0.829146

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199

6.115385

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0.226415

0

0.011236

0.105528

199

6

63

33.166667

0.882022

0

0.25

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0.25

false

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null

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null

0

1

0

1

0

1

0

6

0ca317f3cff83ad3323a41d7ea9b2e526efaf5f7

102

py

Python

src/hbcomp/comp/__init__.py

zgoda/hbcomp

0b787a05f2cd512c44363daaa560ec74cc9d6261

[ "MIT" ]

null

src/hbcomp/comp/__init__.py

zgoda/hbcomp

0b787a05f2cd512c44363daaa560ec74cc9d6261

[ "MIT" ]

null

src/hbcomp/comp/__init__.py

zgoda/hbcomp

0b787a05f2cd512c44363daaa560ec74cc9d6261

[ "MIT" ]

null

from flask import Blueprint comp_bp = Blueprint('comp', __name__) from . import views # noqa: F401

17

37

0.735294

14

102

5

0.714286

0.371429

0

0.035714

0.176471

102

5

38

20.4

0.797619

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0.044444

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false

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0.666667

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0.666667

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1

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1

0

null

0

1

0

1

0

6

0cb4af222ce2d23fbdbbf25437c3f0ae1c06f04e

38

py

Python

stockscrape/__init__.py

rawsashimi1604/stockscrape_v2

6f34da0805c50285268f56b45e0a6488ecd524ce

[ "MIT" ]

2

2021-07-25T14:36:43.000Z

2021-12-08T00:37:45.000Z

stockscrape/__init__.py

rawsashimi1604/stockscrape_v2

6f34da0805c50285268f56b45e0a6488ecd524ce

[ "MIT" ]

null

stockscrape/__init__.py

rawsashimi1604/stockscrape_v2

6f34da0805c50285268f56b45e0a6488ecd524ce

[ "MIT" ]

1

2021-07-25T19:24:08.000Z

from stockscrape.ticker import Ticker

19

37

0.868421

5

38

6.6

0.8

0

0.105263

38

1

38

0.970588

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true

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1

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null

0

1

0

1

0

1

0

6

0b291ab519efb13580bec65bd544493aa791d1d4

4,842

py

Python

tests/test_relaxation_algorithm.py

penggan666/index_selection_evaluation

b6daf1f30c24a0675f4e3acfbd17304e5d91cfd6

[ "MIT" ]

37

2020-03-03T10:59:06.000Z

2022-03-29T11:51:37.000Z

tests/test_relaxation_algorithm.py

Jiachen-Shi/index_selection_evaluation

fb22b929cbab22377e90a12ae23ea4002d8eab7b

[ "MIT" ]

19

2020-03-10T14:55:56.000Z

2021-05-20T09:54:32.000Z

tests/test_relaxation_algorithm.py

Jiachen-Shi/index_selection_evaluation

fb22b929cbab22377e90a12ae23ea4002d8eab7b

[ "MIT" ]

14

2020-08-10T03:12:40.000Z

2022-02-28T06:08:16.000Z

import unittest from unittest.mock import patch from selection.algorithms.relaxation_algorithm import RelaxationAlgorithm from selection.index import Index from selection.workload import Workload from tests.mock_connector import ( MockConnector, column_A_0, column_A_1, mock_cache, query_0, query_1, ) class TestRelaxationAlgorithm(unittest.TestCase): def setUp(self): self.connector = MockConnector() @staticmethod def set_estimated_index_sizes(indexes, store_size=True): for index in indexes: if index.estimated_size is None: index.estimated_size = len(index.columns) * 1000 * 1000 @staticmethod def set_estimated_index_size(index): index.estimated_size = len(index.columns) * 1000 * 1000 @patch("selection.algorithms.relaxation_algorithm.get_utilized_indexes") def test_calculate_indexes_3000MB_2column(self, get_utilized_indexes_mock): algorithm = RelaxationAlgorithm( database_connector=self.connector, parameters={"max_index_width": 2, "budget_MB": 3}, ) algorithm.cost_evaluation.cache = mock_cache algorithm.cost_evaluation._prepare_cost_calculation = ( self.set_estimated_index_sizes ) algorithm.cost_evaluation.estimate_size = self.set_estimated_index_size get_utilized_indexes_mock.return_value = ( { Index([column_A_0], 1000 * 1000), Index([column_A_0, column_A_1], 2000 * 1000), }, None, ) index_selection = algorithm.calculate_best_indexes(Workload([query_0, query_1])) self.assertEqual( set(index_selection), set([Index([column_A_0]), Index([column_A_0, column_A_1])]), ) @patch("selection.algorithms.relaxation_algorithm.get_utilized_indexes") def test_calculate_indexes_2MB_2column(self, get_utilized_indexes_mock): algorithm = RelaxationAlgorithm( database_connector=self.connector, parameters={"max_index_width": 2, "budget_MB": 2}, ) algorithm.cost_evaluation.cache = mock_cache algorithm.cost_evaluation._prepare_cost_calculation = ( self.set_estimated_index_sizes ) algorithm.cost_evaluation.estimate_size = self.set_estimated_index_size get_utilized_indexes_mock.return_value = ( { Index([column_A_0], 1000 * 1000), Index([column_A_0, column_A_1], 2000 * 1000), }, None, ) index_selection = algorithm.calculate_best_indexes(Workload([query_0, query_1])) self.assertEqual(set(index_selection), set([Index([column_A_0, column_A_1])])) @patch("selection.algorithms.relaxation_algorithm.get_utilized_indexes") def test_calculate_indexes_1MB_2column(self, get_utilized_indexes_mock): algorithm = RelaxationAlgorithm( database_connector=self.connector, parameters={"max_index_width": 2, "budget_MB": 1}, ) algorithm.cost_evaluation.cache = mock_cache algorithm.cost_evaluation._prepare_cost_calculation = ( self.set_estimated_index_sizes ) algorithm.cost_evaluation.estimate_size = self.set_estimated_index_size get_utilized_indexes_mock.return_value = ( { Index([column_A_0], 1000 * 1000), Index([column_A_0, column_A_1], 2000 * 1000), }, None, ) index_selection = algorithm.calculate_best_indexes(Workload([query_0, query_1])) # The single column index is dropped first, because of the lower penalty. # The multi column index is prefixed second. self.assertEqual(set(index_selection), {Index([column_A_0])}) @patch("selection.algorithms.relaxation_algorithm.get_utilized_indexes") def test_calculate_indexes_500kB_2column(self, get_utilized_indexes_mock): algorithm = RelaxationAlgorithm( database_connector=self.connector, parameters={"max_index_width": 2, "budget_MB": 0.5}, ) algorithm.cost_evaluation.cache = mock_cache algorithm.cost_evaluation._prepare_cost_calculation = ( self.set_estimated_index_sizes ) algorithm.cost_evaluation.estimate_size = self.set_estimated_index_size get_utilized_indexes_mock.return_value = ( { Index([column_A_0], 1000 * 1000), Index([column_A_0, column_A_1], 2000 * 1000), }, None, ) index_selection = algorithm.calculate_best_indexes(Workload([query_0, query_1])) self.assertEqual(set(index_selection), set()) if __name__ == "__main__": unittest.main()

37.828125

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4,842

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4,842

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89

38.125984

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0.036697

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0.06422

false

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0

0.12844

0

null

0

1

0

null

0

6

0b3fc135803f14c4090abdc3c650c3055228c2cb

28

py

Python

test2.py

cryptoandrew/Python

f1a36dbc5fca3061adb42e2f9ef70d30078da6cf

[ "Apache-2.0" ]

null

test2.py

cryptoandrew/Python

f1a36dbc5fca3061adb42e2f9ef70d30078da6cf

[ "Apache-2.0" ]

null

test2.py

cryptoandrew/Python

f1a36dbc5fca3061adb42e2f9ef70d30078da6cf

[ "Apache-2.0" ]

null

print("this is a try run")

9.333333

26

0.642857

6

28

3

1

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28

2

27

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0.818182

0

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1

0

1

0

null

0

1

0

1

0

6

0b5c9d6d015a66099bc89adc6b146a591d89f099

108

py

Python

myshowsapi/exceptions.py

kreedz/myshowsapi

55c0504ea6e58ce2144c56ee4a6af333411ff8a3

[ "MIT" ]

1

2017-07-22T03:57:23.000Z

myshowsapi/exceptions.py

kreedz/myshowsapi

55c0504ea6e58ce2144c56ee4a6af333411ff8a3

[ "MIT" ]

null

myshowsapi/exceptions.py

kreedz/myshowsapi

55c0504ea6e58ce2144c56ee4a6af333411ff8a3

[ "MIT" ]

null

class MyShowsException(Exception): pass class MyShowsRetrieveTokenErrorException(Exception): pass

15.428571

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0.796296

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true

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1

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1

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null

0

1

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6

0b7190eebe26f69546112cc16c895eea13f55903

118

py

Python

tests/functional/modules/pyi_import_pyqt_uic_port/PyQt5/uic/__init__.py

hawkhai/pyinstaller

016a24479b34de161792c72dde455a81ad4c78ae

[ "Apache-2.0" ]

9,267

2015-01-01T04:08:45.000Z

2022-03-31T11:42:38.000Z

tests/functional/modules/pyi_import_pyqt_uic_port/PyQt5/uic/__init__.py

jeremysanders/pyinstaller

321b24f9a9a5978337735816b36ca6b4a90a2fb4

[ "Apache-2.0" ]

5,150

2015-01-01T12:09:56.000Z

2022-03-31T18:06:12.000Z

tests/functional/modules/pyi_import_pyqt_uic_port/PyQt5/uic/__init__.py

jeremysanders/pyinstaller

321b24f9a9a5978337735816b36ca6b4a90a2fb4

[ "Apache-2.0" ]

2,101

2015-01-03T10:25:27.000Z

2022-03-30T11:04:42.000Z

print('this is my faked PyQt5.uic package') __pyinstaller_fake_module_marker__ = '__pyinstaller_fake_module_marker__'

39.333333

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0.855932

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118

5.4375

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0.344828

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2

74

59

0.788991

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false

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0

null

1

0

1

0

null

0

1

0

6

0b8921ac35cfeb004bf61429a1e767221829644e

167

py

Python

src/test/tinc/tinctest/test/discovery/mockstorage/uao/test_smoke_uao.py

rodel-talampas/gpdb

9c955e350334abbd922102f289f782697eb52069

[ "PostgreSQL", "Apache-2.0" ]

9

2018-04-20T03:31:01.000Z

2020-05-13T14:10:53.000Z

src/test/tinc/tinctest/test/discovery/mockstorage/uao/test_smoke_uao.py

rodel-talampas/gpdb

9c955e350334abbd922102f289f782697eb52069

[ "PostgreSQL", "Apache-2.0" ]

36

2017-09-21T09:12:27.000Z

2020-06-17T16:40:48.000Z

src/test/tinc/tinctest/test/discovery/mockstorage/uao/test_smoke_uao.py

rodel-talampas/gpdb

9c955e350334abbd922102f289f782697eb52069

[ "PostgreSQL", "Apache-2.0" ]

32

2017-08-31T12:50:52.000Z

2022-03-01T07:34:53.000Z

import tinctest class UAOSmokeTests(tinctest.TINCTestCase): def test_smoke_cardinality1(self): pass def test_smoke_cardinality2(self): pass

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0.666667

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0

0.015385

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44

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0

null

0

1

0

1

0

1

0

6

0ba78b8b7f043c83e4d467e0147219f957472198

882

gyp

Python

deps/libgdal/gyp-formats/nitf.gyp

jimgambale/node-gdal

dc5c89fb23f1004732106250c8b7d57f380f9b61

[ "Apache-2.0" ]

462

2015-01-07T23:09:18.000Z

2022-03-30T03:58:09.000Z

deps/libgdal/gyp-formats/nitf.gyp

jimgambale/node-gdal

dc5c89fb23f1004732106250c8b7d57f380f9b61

[ "Apache-2.0" ]

196

2015-01-07T11:10:35.000Z

2022-03-29T08:50:30.000Z

deps/libgdal/gyp-formats/nitf.gyp

jimgambale/node-gdal

dc5c89fb23f1004732106250c8b7d57f380f9b61

[ "Apache-2.0" ]

113

2015-01-15T02:24:18.000Z

2021-11-22T06:05:52.000Z

{ "includes": [ "../common.gypi" ], "targets": [ { "target_name": "libgdal_nitf_frmt", "type": "static_library", "sources": [ "../gdal/frmts/nitf/ecrgtocdataset.cpp", "../gdal/frmts/nitf/mgrs.c", "../gdal/frmts/nitf/nitf_gcprpc.cpp", "../gdal/frmts/nitf/nitfaridpcm.cpp", "../gdal/frmts/nitf/nitfbilevel.cpp", "../gdal/frmts/nitf/nitfdataset.cpp", "../gdal/frmts/nitf/nitfdes.c", "../gdal/frmts/nitf/nitfdump.c", "../gdal/frmts/nitf/nitffile.c", "../gdal/frmts/nitf/nitfimage.c", "../gdal/frmts/nitf/nitfrasterband.cpp", "../gdal/frmts/nitf/nitfwritejpeg.cpp", "../gdal/frmts/nitf/nitfwritejpeg_12.cpp", "../gdal/frmts/nitf/rpftocdataset.cpp", "../gdal/frmts/nitf/rpftocfile.cpp" ], "include_dirs": [ "../gdal/frmts/nitf", "../gdal/frmts/vrt", "../gdal/frmts/gtiff/libtiff" ] } ] }

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882

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null

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null

0

1

0

6

e7f8e9ac97bbcc4ac010a12e2c6d1f69f685457c

36

py

Python

envs/__init__.py

jairotunior/gym_go

c626ce79f4233c949787064884e806172a786a58

[ "MIT" ]

null

envs/__init__.py

jairotunior/gym_go

c626ce79f4233c949787064884e806172a786a58

[ "MIT" ]

null

envs/__init__.py

jairotunior/gym_go

c626ce79f4233c949787064884e806172a786a58

[ "MIT" ]

null

from gym_go.envs.go_env import GoEnv

36

0.861111

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36

3.625

0.875

0

0.083333

36

1

36

0.878788

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f03c3a835d2024c9f9c89d1deae577af2ab59e4c

123

py

Python

telemetry-pi/main.py

USCSolarCarStrategyTeam/driver-display

a9570f5c7ea98a966f95d6ddc32b88e22e29bd56

[ "Apache-2.0" ]

null

telemetry-pi/main.py

USCSolarCarStrategyTeam/driver-display

a9570f5c7ea98a966f95d6ddc32b88e22e29bd56

[ "Apache-2.0" ]

2

2017-11-04T22:44:41.000Z

2018-03-23T02:14:20.000Z

telemetry-pi/main.py

USCSolarCarStrategyTeam/telemetry-pi

a9570f5c7ea98a966f95d6ddc32b88e22e29bd56

[ "Apache-2.0" ]

5

2017-10-07T22:54:09.000Z

2018-01-27T21:20:51.000Z

from driver.Driver import Driver from driver.Driver import Dummy2RPMDriver c = Driver(Dummy2RPMDriver()) print(c.getRPM())

24.6

41

0.804878

16

123

6.1875

0.4375

0.20202

0.323232

0.444444

0

0.018018

0.097561

123

5

42

24.6

0.873874

0

1

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false

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0.25

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null

1

0

1

0

null

0

1

0

6

f05803668020e4f3d55a55454a1a52684540bf84

9,784

py

Python

tests/test_user.py

tappitikarrass/flask-ap

88b97bb522474ca3dc056c209640050af74cb5dc

[ "BSD-3-Clause" ]

null

tests/test_user.py

tappitikarrass/flask-ap

88b97bb522474ca3dc056c209640050af74cb5dc

[ "BSD-3-Clause" ]

null

tests/test_user.py

tappitikarrass/flask-ap

88b97bb522474ca3dc056c209640050af74cb5dc

[ "BSD-3-Clause" ]

null

from app import (db) from .conftest import ( get_last_user, get_token, get_json_field ) from .test_data import ( post_user_data_200, post_user_data_400, update_user_data_200, login_creds_200, login_creds_403, login_creds_404, login_creds_alt_200 ) class TestUser: class TestUserLogin: def test_login_200(self, client, create_user, delete_user): response = client.post("/login", headers={'Authorization': 'Basic ' + login_creds_200} ) assert response.status_code == 200 def test_login_401(self, client, create_user, delete_user): response = client.post("/login") assert response.status_code == 401 def test_login_403(self, client, create_user, delete_user): response = client.post("/login", headers={'Authorization': 'Basic ' + login_creds_403} ) assert response.status_code == 403 def test_login_404(self, client, create_user, delete_user): response = client.post("/login", headers={'Authorization': 'Basic ' + login_creds_404} ) assert response.status_code == 404 class TestUserLogout: def test_logout_200(self, client, create_user, delete_user): response = client.delete("/logout", headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 200 def test_logout_401(self, client, create_user, delete_user): response = client.delete("/logout") assert response.status_code == 401 def test_logout_422(self, client, create_user, delete_user): response = client.delete("/logout", headers={'Authorization': 'Bearer ' + 'invalid_token'} ) assert response.status_code == 422 class TestUserGetUsers: def test_get_users_200(self, client, create_admin, delete_user): response = client.get("/user", headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 200 def test_get_users_403(self, client, create_admin, delete_user_alt, delete_user): response = client.get("/user", headers={'Authorization': 'Bearer ' + get_token(client, login_creds_alt_200)} ) assert response.status_code == 403 class TestUserPost: def test_post_user_200(self, client, delete_user): response = client.post("/user", json=post_user_data_200) assert response.status_code == 200 def test_post_user_400(self, client): response = client.post("/user", json=post_user_data_400) assert response.status_code == 400 class TestUserDelete: def test_delete_user_200(self, client, create_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.delete(url, headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 200 def test_delete_user_401(self, client, create_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.delete(url) assert response.status_code == 401 def test_delete_user_403(self, client, create_user, create_user_alt, delete_user_alt, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.delete(url, headers={'Authorization': 'Bearer ' + get_token(client, login_creds_200)} ) assert response.status_code == 403 def test_delete_user_404(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id + 1) response = client.delete(url, headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 404 def test_delete_user_422(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.delete(url, headers={'Authorization': 'Bearer ' + 'invalid_token'} ) assert response.status_code == 422 class TestUserUpdate: def test_update_user_200(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.put(url, json=update_user_data_200, headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 200 def test_update_user_401(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.put(url, json=update_user_data_200) assert response.status_code == 401 def test_update_user_403(self, client, create_user, create_user_alt, delete_user_alt, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.put(url, json=update_user_data_200, headers={'Authorization': 'Bearer ' + get_token(client, login_creds_200)} ) assert response.status_code == 403 def test_update_user_404(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id + 1) response = client.put(url, json=update_user_data_200, headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 404 def test_update_user_422(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.put(url, json=update_user_data_200, headers={'Authorization': 'Bearer ' + 'invalid_token'} ) assert response.status_code == 422 class TestUserGetById: def test_get_user_200(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.get(url, headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 200 def test_get_user_401(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.get(url) assert response.status_code == 401 def test_get_user_403(self, client, create_user, create_user_alt, delete_user_alt, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.get(url, headers={'Authorization': 'Bearer ' + get_token(client, login_creds_200)} ) assert response.status_code == 403 def test_get_user_404(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id + 1) response = client.get(url, headers={'Authorization': 'Bearer ' + get_token(client)} ) assert response.status_code == 404 def test_get_user_422(self, client, create_user, delete_user): user_id = get_last_user().user_id url = "/user/" + str(user_id) response = client.get(url, headers={'Authorization': 'Bearer ' + 'invalid_token'} ) assert response.status_code == 422

48.92

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0.483647

925

9,784

4.781622

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false

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0.186869

0

null

0

1

0

null

0

6

f07bb016ffe9e9b4645a678d70ba08ed4ec3569c

148

py

Python

proj_vis/demo_test.py

SysCV/project-template

e4e73121c61ae3d8e361b5fdfe291d6989dd1a97

[ "Apache-2.0" ]

2

2021-12-07T06:44:13.000Z

2022-03-31T02:02:27.000Z

proj_vis/demo_test.py

SysCV/project-template

e4e73121c61ae3d8e361b5fdfe291d6989dd1a97

[ "Apache-2.0" ]

null

proj_vis/demo_test.py

SysCV/project-template

e4e73121c61ae3d8e361b5fdfe291d6989dd1a97

[ "Apache-2.0" ]

1

2021-12-07T06:44:17.000Z

"""An example of unit tests based on pytest.""" from .demo import add def test_add() -> None: """Test add.""" assert add([1, 2, 3]) == 6

16.444444

47

0.574324

24

148

3.5

0.833333

0.166667

0

0.035398

0.236486

148

8

48

18.5

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null

0

1

0

1

0

1

0

6

6520562bbba8e4e8365d0d3982e4f1d7a3f9bcad

2,366

py

Python

xlib/api/win32/dxgi/structs.py

jkennedyvz/DeepFaceLive

274c20808da089eb7fc0fc0e8abe649379a29ffe

[ "MIT" ]

3

2021-12-08T08:59:50.000Z

2022-02-08T02:54:27.000Z

xlib/api/win32/dxgi/structs.py

jkennedyvz/DeepFaceLive

274c20808da089eb7fc0fc0e8abe649379a29ffe

[ "MIT" ]

1

2022-02-08T01:29:03.000Z

xlib/api/win32/dxgi/structs.py

jkennedyvz/DeepFaceLive

274c20808da089eb7fc0fc0e8abe649379a29ffe

[ "MIT" ]

1

2021-12-14T09:18:15.000Z

import ctypes as ct from ctypes import (POINTER, WINFUNCTYPE, byref, c_byte, c_int64, c_longlong, c_size_t, c_ubyte, c_uint, c_uint32, c_ulong, c_void_p, c_wchar) class DXGI_ADAPTER_FLAG(c_uint): DXGI_ADAPTER_FLAG_NONE = 0 DXGI_ADAPTER_FLAG_REMOTE = 1 DXGI_ADAPTER_FLAG_SOFTWARE = 2 DXGI_ADAPTER_FLAG_FORCE_DWORD = 0xffffffff class DXGI_ADAPTER_DESC(ct.Structure): _fields_ = [('Description', c_wchar * 128), ('VendorId', c_uint), ('DeviceId', c_uint), ('SubSysId', c_uint), ('Revision', c_uint), ('DedicatedVideoMemory', c_size_t), ('DedicatedSystemMemory', c_size_t), ('SharedSystemMemory', c_size_t), ('AdapterLuid', c_longlong), ] def __init__(self): self.Description : c_wchar * 128 = '' self.VendorId : c_uint = c_uint() self.DeviceId : c_uint = c_uint() self.SubSysId : c_uint = c_uint() self.Revision : c_uint = c_uint() self.DedicatedVideoMemory : c_size_t = c_size_t() self.DedicatedSystemMemory : c_size_t = c_size_t() self.SharedSystemMemory : c_size_t = c_size_t() self.AdapterLuid : c_longlong = c_longlong() super().__init__() class DXGI_ADAPTER_DESC1(ct.Structure): _fields_ = [('Description', c_wchar * 128), ('VendorId', c_uint), ('DeviceId', c_uint), ('SubSysId', c_uint), ('Revision', c_uint), ('DedicatedVideoMemory', c_size_t), ('DedicatedSystemMemory', c_size_t), ('SharedSystemMemory', c_size_t), ('AdapterLuid', c_longlong), ('Flags', c_uint), ] def __init__(self): self.Description : c_wchar * 128 = '' self.VendorId : c_uint = c_uint() self.DeviceId : c_uint = c_uint() self.SubSysId : c_uint = c_uint() self.Revision : c_uint = c_uint() self.DedicatedVideoMemory : c_size_t = c_size_t() self.DedicatedSystemMemory : c_size_t = c_size_t() self.SharedSystemMemory : c_size_t = c_size_t() self.AdapterLuid : c_longlong = c_longlong() self.Flags : c_uint = c_uint() super().__init__()

38.786885

77

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272

2,366

4.518382

0.194853

0.117982

0.092758

0.07323

0.730675

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0.012979

0.316145

2,366

60

78

39.433333

0.746601

0

0.727273

0

0.097633

0.017751

0

0.004227

0

1

0.036364

false

0

0.036364

0

0.236364

0

null

0

1

0

1

0

null

0

6

3303b8a37a4e0fc8b241c03d7187d7c2e0c2bca3

80

py

Python

__init__.py

ltoosaint24/lambdata

cbb1d89962ca5cc17eec211ccc6110083a1b888c

[ "MIT" ]

null

__init__.py

ltoosaint24/lambdata

cbb1d89962ca5cc17eec211ccc6110083a1b888c

[ "MIT" ]

null

__init__.py

ltoosaint24/lambdata

cbb1d89962ca5cc17eec211ccc6110083a1b888c

[ "MIT" ]

null

from lambdata.ltoussaint import HFunction from labmdata.ltoussaint import fibb

20

41

0.8625

10

80

6.9

0.7

0.463768

0

0.1125

80

3

42

26.666667

0.971831

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

33525dce0f11cfa2820f3d51d615927225f24409

48

py

Python

swinginghead/parser/__init__.py

isidentical-archive/swinginghead

cabce05378ee8eea71afc98ff931e227cc55f7e8

[ "MIT" ]

8

2019-04-17T17:18:16.000Z

2019-04-21T20:37:47.000Z

swinginghead/parser/__init__.py

isidentical/swinginghead

cabce05378ee8eea71afc98ff931e227cc55f7e8

[ "MIT" ]

null

swinginghead/parser/__init__.py

isidentical/swinginghead

cabce05378ee8eea71afc98ff931e227cc55f7e8

[ "MIT" ]

null

from swinginghead.parser.pgen import get_parser

24

47

0.875

7

48

5.857143

0.857143

0

0.083333

48

1

48

0.931818

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3357dda53f765f40952720ba96519c93887741ae

31

py

Python

AIShooter/__init__.py

SanteriHetekivi/AIShooter

f73461c9075cf5b0789679782fe21dee54f2775e

[ "Apache-2.0" ]

null

AIShooter/__init__.py

SanteriHetekivi/AIShooter

f73461c9075cf5b0789679782fe21dee54f2775e

[ "Apache-2.0" ]

null

AIShooter/__init__.py

SanteriHetekivi/AIShooter

f73461c9075cf5b0789679782fe21dee54f2775e

[ "Apache-2.0" ]

null

from .classes.Game import Game

15.5

30

0.806452

5

31

5

0.8

0

0.129032

31

1

31

0.925926

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3370394524cc24369b586ff5d671193f3d3a18ba

271

py

Python

default/modules/git.py

AshlynnInWonderland/zsh-powerline

e6f3326b3e15d8a89a0ea959314ea0ea5768ea86

[ "MIT" ]

null

default/modules/git.py

AshlynnInWonderland/zsh-powerline

e6f3326b3e15d8a89a0ea959314ea0ea5768ea86

[ "MIT" ]

null

default/modules/git.py

AshlynnInWonderland/zsh-powerline

e6f3326b3e15d8a89a0ea959314ea0ea5768ea86

[ "MIT" ]

null

import subprocess as sp #this code is disgusting and I'm ashamed of it def returnText(): return " " + sp.check_output(['git','symbolic-ref','--quiet','HEAD'], stdin=None, stderr=sp.PIPE, shell=False, universal_newlines=False).strip().decode('utf-8').split('/')[2]

38.714286

179

0.690037

42

271

4.428571

0.928571

0

0.008299

0.110701

271

6

180

45.166667

0.759336

0.166052

0

0.151111

0

1

0.333333

true

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

6

68569fa7285a20cd3c59354e26115e30d8713487

99

py

Python

tests/test_myfuncs.py

Humungus-Fungus/Knito

d10a38856375286c443673b17a50feac7b0e6b3a

[ "MIT" ]

null

tests/test_myfuncs.py

Humungus-Fungus/Knito

d10a38856375286c443673b17a50feac7b0e6b3a

[ "MIT" ]

null

tests/test_myfuncs.py

Humungus-Fungus/Knito

d10a38856375286c443673b17a50feac7b0e6b3a

[ "MIT" ]

null

from pylib import myfuncs def test_conc(): assert myfuncs.conc("hello ", "world")=="hello world"

19.8

54

0.717172

14

99

5

0.714286

0.285714

0

0.131313

99

4

55

24.75

0.813953

0

0.222222

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

689319af485dcbc48b8242d942e0853dcad086e7

13,901

py

Python

app/python/testing/modules_and_functions/test_enrichment.py

RadjaHachilif/agotool

2fcc3fd5a156053b528ec927bab79ddaf7af2dec

[ "MIT" ]

6

2016-04-14T11:47:43.000Z

2022-01-29T14:34:59.000Z

app/python/testing/modules_and_functions/test_enrichment.py

RadjaHachilif/agotool

2fcc3fd5a156053b528ec927bab79ddaf7af2dec

[ "MIT" ]

2

2019-12-21T12:15:46.000Z

2021-01-08T12:22:17.000Z

app/python/testing/modules_and_functions/test_enrichment.py

RadjaHachilif/agotool

2fcc3fd5a156053b528ec927bab79ddaf7af2dec

[ "MIT" ]

1

2021-03-04T10:26:18.000Z

import sys, os # sys.path.insert(0, os.path.dirname(os.path.abspath(os.path.realpath(__file__)))) sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), "../.."))) # to get to python directory import pytest import requests import ast import variables, ratio, query, userinput, enrichment, run def format_for_REST_API(list_of_string): return "%0d".join(list_of_string) def test_count_terms_v3(random_foreground_background, pqo_STRING): """ this test is for ratio.count_terms_v3, since it is testing for the presence of secondary IDs # goterm: 'GO:0007610' has secondary id 'GO:0044708' :param random_foreground_background: :param pqo_STRING: :return: """ foreground, background, taxid = random_foreground_background etype_2_association_dict_foreground = pqo_STRING.get_association_dict_split_by_category(foreground) go_slim_or_basic = "basic" for entity_type in variables.entity_types_with_data_in_functions_table: obo_dag = run.pick_dag_from_entity_type_and_basic_or_slim(entity_type, go_slim_or_basic, pqo_STRING) assoc_dict = etype_2_association_dict_foreground[entity_type] for an in (AN for AN in set(foreground) if AN in assoc_dict): for association in assoc_dict[an]: association_id = obo_dag[association].id assert association_id == association association_2_count_dict_v2, association_2_ANs_dict_v2, ans_counter_v2 = ratio.count_terms_v2(set(background), assoc_dict, obo_dag) association_2_count_dict_v3, association_2_ANs_dict_v3, ans_counter_v3 = ratio.count_terms_v3(set(background), assoc_dict) assert association_2_count_dict_v2 == association_2_count_dict_v3 assert association_2_ANs_dict_v2 == association_2_ANs_dict_v3 assert ans_counter_v2 <= ans_counter_v3 def test_EnrichmentStudy_genome(random_foreground_background, pqo_STRING, args_dict): """ checking for non empty results dictionary perc_association_foreground <= 100 perc_asociation_background <= 100 foreground_count <= foreground_n background_count <= background_n :return: """ go_slim_or_basic = "basic" o_or_u_or_both = "overrepresented" multitest_method = "benjamini_hochberg" output_format = "json" foreground, background, taxid = random_foreground_background background_n = pqo_STRING.get_proteome_count_from_taxid(int(taxid)) assert background_n == len(background) assert len(foreground) <= len(background) # ui = userinput.REST_API_input(pqo_STRING, # foreground_string=format_for_REST_API(foreground), # background_string=format_for_REST_API(background), # enrichment_method="genome") #, background_n=len(background)) args_dict_temp = args_dict.copy() args_dict_temp.update({"foreground":format_for_REST_API(foreground), "background":format_for_REST_API(background), "enrichment_method":"genome"}) ui = userinput.REST_API_input(pqo_STRING, args_dict_temp) etype_2_association_dict_foreground = pqo_STRING.get_association_dict_split_by_category(foreground) # assoc_dict = etype_2_association_dict_foreground[entity_type] etype_2_association_2_count_dict_background, etype_2_association_2_ANs_dict_background, _ = query.get_association_2_count_ANs_background_split_by_entity(taxid) for entity_type in variables.entity_types_with_data_in_functions_table: dag = run.pick_dag_from_entity_type_and_basic_or_slim(entity_type, go_slim_or_basic, pqo_STRING) assoc_dict = etype_2_association_dict_foreground[entity_type] if bool(assoc_dict): # not empty dictionary enrichment_study = enrichment.EnrichmentStudy(ui, assoc_dict, dag, o_or_u_or_both=o_or_u_or_both, multitest_method=multitest_method, entity_type=entity_type, association_2_count_dict_background=etype_2_association_2_count_dict_background[entity_type], background_n=background_n) result = enrichment_study.get_result(output_format) assert result # not an empty dict @pytest.mark.STRING_examples def test_run_STRING_enrichment(pqo_STRING, STRING_examples, args_dict): """ checking that :param pqo_STRING: PersistentQuery Object :param STRING_examples: tuple (foreground ENSPs, taxid) :param args_dict: dict (from conftest.py with default values) :return : """ enrichment_method = "compare_samples" foreground, taxid = STRING_examples background = query.get_proteins_of_taxid(taxid) # background_n = pqo_STRING.get_proteome_count_from_taxid(taxid) args_dict_temp = args_dict.copy() args_dict_temp.update({"foreground":format_for_REST_API(foreground), "background":format_for_REST_API(background), "intensity":None, "enrichment_method":enrichment_method}) # ui = userinput.REST_API_input(pqo_STRING, foreground_string=format_for_REST_API(foreground), # background_string=format_for_REST_API(background), background_intensity=None, enrichment_method=enrichment_method) ui = userinput.REST_API_input(pqo_STRING, args_dict_temp) # results_all_function_types = run.run_STRING_enrichment(pqo=pqo_STRING, ui=ui, enrichment_method=enrichment_method, # limit_2_entity_type=variables.limit_2_entity_types_ALL, output_format="json", FDR_cutoff=None) args_dict_temp.update({"limit_2_entity_type":variables.limit_2_entity_types_ALL, "output_format":"json", "FDR_cutoff":None}) results_all_function_types = run.run_STRING_enrichment(pqo=pqo_STRING, ui=ui, args_dict=args_dict_temp) assert results_all_function_types != {'message': 'Internal Server Error'} etypes = variables.entity_types_with_data_in_functions_table assert len(set(results_all_function_types.keys()).intersection(etypes)) == len(etypes) for _, result in results_all_function_types.items(): # assert result is not empty assert result @pytest.mark.STRING_examples def test_run_STRING_enrichment_genome(pqo_STRING, STRING_examples, args_dict): foreground, taxid = STRING_examples etype_2_association_dict = pqo_STRING.get_association_dict_split_by_category(foreground) background_n = pqo_STRING.get_proteome_count_from_taxid(taxid) args_dict_temp = args_dict.copy() args_dict_temp.update({"foreground":format_for_REST_API(foreground), "enrichment_method":"genome", "background_n":background_n}) # ui = userinput.REST_API_input(pqo_STRING, foreground_string=format_for_REST_API(foreground), enrichment_method="genome", background_n=background_n) ui = userinput.REST_API_input(pqo_STRING, args_dict_temp) # results_all_function_types = run.run_STRING_enrichment_genome(pqo=pqo_STRING, ui=ui, taxid=taxid, background_n=background_n, output_format="json", FDR_cutoff=None) args_dict_temp.update({"taxid":taxid, "output_format":"json", "FDR_cutoff":None}) results_all_function_types = run.run_STRING_enrichment_genome(pqo=pqo_STRING, ui=ui, background_n=background_n, args_dict=args_dict_temp) assert results_all_function_types != {'message': 'Internal Server Error'} # etypes = variables.entity_types_with_data_in_functions_table # assert len(set(results_all_function_types.keys()).intersection(etypes)) == len(etypes) # incomplete overlap can be due to missing functional annotations for given ENSPs for etype, result in results_all_function_types.items(): result = ast.literal_eval(result) number_of_ENSPs_with_association = len(etype_2_association_dict[etype]) # number_of_associations = len(set(val for key, val in etype_2_association_dict[etype].items())) number_of_associations = len({item for sublist in etype_2_association_dict[etype].values() for item in sublist}) assert len(result) == number_of_associations # number of rows in results --> number of associations assert len(foreground) >= number_of_ENSPs_with_association # not every ENSP has functional associations def test_EnrichmentStudy_(random_foreground_background, pqo_STRING, args_dict): """ perc_association_foreground <= 100 perc_asociation_background <= 100 foreground_count <= foreground_n background_count <= background_n :return: """ go_slim_or_basic = "basic" o_or_u_or_both = "overrepresented" multitest_method = "benjamini_hochberg" output_format = "json" foreground, background, taxid = random_foreground_background background_n = pqo_STRING.get_proteome_count_from_taxid(int(taxid)) assert background_n == len(background) assert len(foreground) <= len(background) args_dict_temp = args_dict.copy() args_dict_temp.update({"foreground":format_for_REST_API(foreground), "background":format_for_REST_API(background), "enrichment_method":"genome", "background_n":len(background)}) # ui = userinput.REST_API_input(pqo_STRING, # foreground_string=format_for_REST_API(foreground), # background_string=format_for_REST_API(background), # enrichment_method="genome", background_n=len(background)) ui = userinput.REST_API_input(pqo_STRING, args_dict_temp) etype_2_association_dict_foreground = pqo_STRING.get_association_dict_split_by_category(foreground) etype_2_association_2_count_dict_background, etype_2_association_2_ANs_dict_background, _ = query.get_association_2_count_ANs_background_split_by_entity(taxid) for entity_type in variables.entity_types_with_data_in_functions_table: dag = run.pick_dag_from_entity_type_and_basic_or_slim(entity_type, go_slim_or_basic, pqo_STRING) assoc_dict = etype_2_association_dict_foreground[entity_type] if bool(assoc_dict): # not empty dictionary enrichment_study = enrichment.EnrichmentStudy(ui, assoc_dict, dag, o_or_u_or_both=o_or_u_or_both, multitest_method=multitest_method, entity_type=entity_type, association_2_count_dict_background=etype_2_association_2_count_dict_background[entity_type], background_n=background_n) result = enrichment_study.get_result(output_format) assert result # not an empty dict # def test_example_files(): # # assert 1 == 2 # pass # @pytest.mark.STRING_examples def test_REST_API_genome(STRING_examples): foreground, taxid = STRING_examples fg = "%0d".join(foreground) response = requests.post(variables.api_url, params={"output_format": "json", "foreground": fg, "enrichment_method": "genome", "species": taxid}) assert type(response.json()) == dict # @pytest.mark.STRING_examples # def test_REST_API_characterize_foreground(STRING_examples): # foreground, taxid = STRING_examples # fg = "%0d".join(foreground) # response = requests.post(variables.api_url, params={"output_format": "json", # "foreground": fg, # "enrichment_method": "characterize_foreground", # "species": taxid}) # assert type(response.json()) == dict # # @pytest.mark.STRING_examples # def test_REST_API_compare_samples(STRING_examples): # foreground, taxid = STRING_examples # background = query.get_proteins_of_taxid(taxid) # fg = "%0d".join(foreground) # bg = "%0d".join(background) # response = requests.post(variables.api_url, params={"output_format": "json", # "foreground": fg, # "background": bg, # "enrichment_method": "compare_samples", # "species": taxid}) # assert type(response.json()) == dict # # @pytest.mark.STRING_examples # def test_REST_API_error(STRING_examples): # foreground, taxid = STRING_examples # background = query.get_proteins_of_taxid(taxid) # fg = "%0d".join(foreground) # bg = "%0d".join(background) # response = requests.post(variables.api_url, params={"output_format": "json", # "foreground": fg, # "background": bg, # "enrichment_method": "compare_samples", # "species": "INVALID_TAXID"}) # assert type(response.json()) == dict # # @pytest.mark.xfail(reason="wrong URL test should fail") # def test_wrong_URL(STRING_examples): # foreground, taxid = STRING_examples # background = query.get_proteins_of_taxid(taxid) # fg = "%0d".join(foreground) # bg = "%0d".join(background) # response = requests.post("www.bubu_was_here.com", params={"output_format": "json", # "foreground": fg, # "background": bg, # "enrichment_method": "compare_samples", # "species": "INVALID_TAXID"}) # assert type(response.json()) == dict

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Python

conf/gunicorn.conf.py

rodrigoalveslima/buzzblog

2b301ee363fbbebbe0ee31b1bf9538811d97b293

[ "Apache-2.0" ]

null

conf/gunicorn.conf.py

rodrigoalveslima/buzzblog

2b301ee363fbbebbe0ee31b1bf9538811d97b293

[ "Apache-2.0" ]

null

conf/gunicorn.conf.py

rodrigoalveslima/buzzblog

2b301ee363fbbebbe0ee31b1bf9538811d97b293

[ "Apache-2.0" ]

null

bind = "0.0.0.0:81" workers = 1 threads = 4

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py

Python

src/msob_and_fp/compare_avoid_dep.py

paulnikolaus/snc-mgf-toolbox

bda07fedd92657628dd34e00911b344ee3535dad

[ "MIT" ]

3

2020-06-01T14:46:15.000Z

2022-03-24T15:02:03.000Z

src/msob_and_fp/compare_avoid_dep.py

paulnikolaus/snc-mgf-toolbox

bda07fedd92657628dd34e00911b344ee3535dad

[ "MIT" ]

null

src/msob_and_fp/compare_avoid_dep.py

paulnikolaus/snc-mgf-toolbox

bda07fedd92657628dd34e00911b344ee3535dad

[ "MIT" ]

null

"""Compare standard standard_bound with negative dependence.""" from timeit import default_timer as timer from typing import Tuple from nc_operations.perform_enum import PerformEnum from optimization.optimize import Optimize from msob_and_fp.optimize_fp_bound import OptimizeFPBound from msob_and_fp.optimize_server_bound import OptimizeServerBound from msob_and_fp.setting_avoid_dep import SettingMSOBFP def compare_avoid_dep_211(setting: SettingMSOBFP, print_x=False) -> Tuple[float, float, float]: """Compare standard_bound with the new Lyapunov standard_bound.""" delta_val = 0.05 one_param_bounds = [(0.1, 10.0)] two_param_bounds = [(0.1, 10.0), (1.1, 10.0)] standard_bound = Optimize(setting=setting, number_param=2, print_x=print_x).grid_search( grid_bounds=two_param_bounds, delta=delta_val) server_bound = OptimizeServerBound(setting_msob_fp=setting, number_param=1, print_x=print_x).grid_search( grid_bounds=one_param_bounds, delta=delta_val) fp_bound = OptimizeFPBound(setting_msob_fp=setting, number_param=1, print_x=print_x).grid_search( grid_bounds=one_param_bounds, delta=delta_val) return standard_bound, server_bound, fp_bound def compare_avoid_dep_212(setting: SettingMSOBFP, print_x=False) -> Tuple[float, float, float]: """Compare standard_bound with the new Lyapunov standard_bound.""" delta_val = 0.05 one_param_bounds = [(0.1, 10.0)] two_param_bounds = [(0.1, 10.0), (1.1, 10.0)] standard_bound = Optimize(setting=setting, number_param=2, print_x=print_x).grid_search( grid_bounds=two_param_bounds, delta=delta_val) server_bound = OptimizeServerBound(setting_msob_fp=setting, number_param=1, print_x=print_x).grid_search( grid_bounds=one_param_bounds, delta=delta_val) fp_bound = OptimizeFPBound(setting_msob_fp=setting, number_param=2, print_x=print_x).grid_search( grid_bounds=two_param_bounds, delta=delta_val) return standard_bound, server_bound, fp_bound def compare_time_211(setting: SettingMSOBFP) -> Tuple[float, float, float]: """Compare standard_bound with the new Lyapunov standard_bound.""" delta_val = 0.05 one_param_bounds = [(0.1, 10.0)] two_param_bounds = [(0.1, 10.0), (1.1, 10.0)] start = timer() Optimize(setting=setting, number_param=2).grid_search(grid_bounds=two_param_bounds, delta=delta_val) stop = timer() time_standard = stop - start start = timer() OptimizeServerBound(setting_msob_fp=setting, number_param=1).grid_search( grid_bounds=one_param_bounds, delta=delta_val) stop = timer() time_server_bound = stop - start start = timer() OptimizeFPBound(setting_msob_fp=setting, number_param=1).grid_search(grid_bounds=one_param_bounds, delta=delta_val) stop = timer() time_fp_bound = stop - start return time_standard, time_server_bound, time_fp_bound def compare_time_212(setting: SettingMSOBFP) -> Tuple[float, float, float]: """Compare standard_bound with the new Lyapunov standard_bound.""" delta_val = 0.05 one_param_bounds = [(0.1, 10.0)] two_param_bounds = [(0.1, 10.0), (1.1, 10.0)] start = timer() Optimize(setting=setting, number_param=2).grid_search(grid_bounds=two_param_bounds, delta=delta_val) stop = timer() time_standard = stop - start start = timer() OptimizeServerBound(setting_msob_fp=setting, number_param=1).grid_search( grid_bounds=one_param_bounds, delta=delta_val) stop = timer() time_server_bound = stop - start start = timer() OptimizeFPBound(setting_msob_fp=setting, number_param=2).grid_search(grid_bounds=two_param_bounds, delta=delta_val) stop = timer() time_fp_bound = stop - start return time_standard, time_server_bound, time_fp_bound if __name__ == '__main__': from nc_arrivals.iid import DM1 from nc_server.constant_rate_server import ConstantRateServer from utils.perform_parameter import PerformParameter from msob_and_fp.overlapping_tandem_perform import OverlappingTandemPerform DELAY_PROB = PerformParameter(perform_metric=PerformEnum.DELAY_PROB, value=10) ARR_LIST = [DM1(lamb=7.0), DM1(lamb=7.0), DM1(lamb=6.0)] SER_LIST = [ ConstantRateServer(rate=0.5), ConstantRateServer(rate=8.0), ConstantRateServer(rate=5.5) ] SETTING = OverlappingTandemPerform(arr_list=ARR_LIST, ser_list=SER_LIST, perform_param=DELAY_PROB) # print(compare_avoid_dep_211(setting=SETTING, print_x=False)) print(compare_time_211(setting=SETTING))

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py

Python

Templates/FuncApp-Http-Py-OptionB/ToolsB/__init__.py

mmaysami/azure-functions-python

e97b29204af83bc1fc81b886f841fe7b7bc0c8a3

[ "MIT" ]

null

Templates/FuncApp-Http-Py-OptionB/ToolsB/__init__.py

mmaysami/azure-functions-python

e97b29204af83bc1fc81b886f841fe7b7bc0c8a3

[ "MIT" ]

null

Templates/FuncApp-Http-Py-OptionB/ToolsB/__init__.py

mmaysami/azure-functions-python

e97b29204af83bc1fc81b886f841fe7b7bc0c8a3

[ "MIT" ]

null

from .toolsB_F1 import * from .toolsB_F2 import *

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py

Python

src/euler_python_package/euler_python/medium/p242.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

src/euler_python_package/euler_python/medium/p242.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

src/euler_python_package/euler_python/medium/p242.py

wilsonify/euler

5214b776175e6d76a7c6d8915d0e062d189d9b79

[ "MIT" ]

null

def problem242(): pass

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py

Python

quickforex/logger.py

jean-edouard-boulanger/python-quickforex

be95a795719f8bb77eceeb543d2ab963182b3f56

[ "MIT" ]

null

quickforex/logger.py

jean-edouard-boulanger/python-quickforex

be95a795719f8bb77eceeb543d2ab963182b3f56

[ "MIT" ]

null

quickforex/logger.py

jean-edouard-boulanger/python-quickforex

be95a795719f8bb77eceeb543d2ab963182b3f56

[ "MIT" ]

null

import logging logger = logging.getLogger("quickforex") def get_module_logger(name) -> logging.Logger: return logger.getChild(name)

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040c3c3833d191f29bf4e8657fbf028d00a0eeeb

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py

Python

mmdet/version.py

Ixuanzhang/mmdet

a8f8397e49e3091f23262f8ace9641ee2c6be746

[ "Apache-2.0" ]

null

mmdet/version.py

Ixuanzhang/mmdet

a8f8397e49e3091f23262f8ace9641ee2c6be746

[ "Apache-2.0" ]

null

mmdet/version.py

Ixuanzhang/mmdet

a8f8397e49e3091f23262f8ace9641ee2c6be746

[ "Apache-2.0" ]

null

# GENERATED VERSION FILE # TIME: Sun Mar 15 12:04:43 2020 __version__ = '1.1.0+unknown' short_version = '1.1.0'

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py

Python

thglibs/dos/__init__.py

darkcode357/thg_lib

c1052bcd85f705ff8be404b7a28964eabef2ed45

[ "MIT" ]

null

thglibs/dos/__init__.py

darkcode357/thg_lib

c1052bcd85f705ff8be404b7a28964eabef2ed45

[ "MIT" ]

52

2018-10-25T20:29:17.000Z

2018-10-25T20:45:02.000Z

thglibs/dos/__init__.py

darkcode357/thg_lib

c1052bcd85f705ff8be404b7a28964eabef2ed45

[ "MIT" ]

null

from .brainiac_dos import DOS

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043d5ad4afa1555845eaf7b0b6f21a92270f0c15

24,096

py

Python

API/feowl-api/feowl/tests.py

jplusplus/feowl

f6278d41329f911f30760cb21a387c1cc9fa7a83

[ "Apache-2.0" ]

null

API/feowl-api/feowl/tests.py

jplusplus/feowl

f6278d41329f911f30760cb21a387c1cc9fa7a83

[ "Apache-2.0" ]

null

API/feowl-api/feowl/tests.py

jplusplus/feowl

f6278d41329f911f30760cb21a387c1cc9fa7a83

[ "Apache-2.0" ]

null

from django.test.client import Client from models import PowerReport, Area, Contributor, Device from django.contrib.auth.models import User, Permission from tastypie_test import ResourceTestCase from django.db import models from tastypie.models import create_api_key import json from django.conf import settings models.signals.post_save.connect(create_api_key, sender=User) class PowerReportResourceTest(ResourceTestCase): fixtures = ['test_data.json'] def setUp(self): super(PowerReportResourceTest, self).setUp() # Create a user. self.username = u'john' self.password = u'doe' self.user = User.objects.create_user(self.username, 'john@example.com', self.password) self.api_key = self.user.api_key.key self.c = Client() self.post_data = { "area": "/api/v1/areas/1/", "happened_at": "2012-06-14 12:37:50", "has_experienced_outage": True, "duration": 60 } # Fetch the ``Entry`` object we'll use in testing. # Note that we aren't using PKs because they can change depending # on what other tests are running. self.power_report_1 = PowerReport.objects.get(duration=121) # We also build a detail URI, since we will be using it all over. # DRY, baby. DRY. self.detail_url = '/api/v1/reports/{0}/'.format(self.power_report_1.pk) def get_credentials(self): return {"username": self.username, "api_key": self.api_key} def test_get_list_unauthorizied(self): """Get reports from the API without authenticated""" self.assertHttpUnauthorized(self.c.get('/api/v1/reports/')) def test_get_list_json(self): """Get reports from the API with authenticated. With checks if all keys are available""" resp = self.c.get('/api/v1/reports/', self.get_credentials()) self.assertValidJSONResponse(resp) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp)['objects']), 5) # Here we're checking an entire structure for the expected data. self.assertEqual(self.deserialize(resp)['objects'][0], { 'area': '/api/v1/areas/1/', 'happened_at': '2012-06-13T12:37:50+00:00', 'has_experienced_outage': True, 'location': None, 'duration': 240, 'quality': '1.00', 'resource_uri': '/api/v1/reports/2/', 'contributor': None, 'device': None }) def test_header_auth(self): resp = self.c.get(self.detail_url, **{'HTTP_AUTHORIZATION': 'ApiKey ' + self.username + ':' + self.api_key}) self.assertValidJSONResponse(resp) # We use ``assertKeys`` here to just verify the keys, not all the data. self.assertKeys(self.deserialize(resp), ['area', 'happened_at', 'has_experienced_outage', 'contributor', 'device', 'location', 'duration', 'quality', 'resource_uri']) self.assertEqual(self.deserialize(resp)['duration'], 121) def test_get_detail_unauthenticated(self): """Try to Get a single report from the API without authenticated""" self.assertHttpUnauthorized(self.c.get(self.detail_url)) def test_get_detail_json(self): """Get a single report from the API with authenticated. With checks if all keys are available""" resp = self.c.get(self.detail_url, self.get_credentials()) self.assertValidJSONResponse(resp) # We use ``assertKeys`` here to just verify the keys, not all the data. self.assertKeys(self.deserialize(resp), ['area', 'happened_at', 'has_experienced_outage', 'contributor', 'device', 'location', 'duration', 'quality', 'resource_uri']) self.assertEqual(self.deserialize(resp)['duration'], 121) def test_get_detail_csv(self): """Get a single report from the API with authenticated. With checks if all keys are available""" content = 'area,contributor,device,happened_at,has_experienced_outage,location,duration,quality,resource_uri\r\n/api/v1/areas/1/,None,None,2012-06-13T09:56:25+00:00,True,POINT (10.0195312486050003 3.6011423196581309),121,1.00,/api/v1/reports/1/\r\n' resp = self.c.get('/api/v1/reports/1/?username=' + self.username + '&api_key=' + self.api_key + '&format=csv') self.assertEquals(resp.content, content) def test_get_list_csv(self): """Get a single report from the API with authenticated. With checks if all keys are available""" content = 'area,contributor,device,happened_at,has_experienced_outage,location,duration,quality,resource_uri\r\n/api/v1/areas/1/,None,None,2012-06-13T12:37:50+00:00,True,None,240,1.00,/api/v1/reports/2/\r\n/api/v1/areas/5/,None,None,2012-06-13T12:38:06+00:00,True,None,32,1.00,/api/v1/reports/3/\r\n/api/v1/areas/2/,None,None,2012-06-13T12:38:18+00:00,True,None,1231,1.00,/api/v1/reports/4/\r\n/api/v1/areas/2/,None,None,2012-06-13T12:38:27+00:00,True,None,564,1.00,/api/v1/reports/5/\r\n/api/v1/areas/1/,None,None,2012-06-13T09:56:25+00:00,True,POINT (10.0195312486050003 3.6011423196581309),121,1.00,/api/v1/reports/1/\r\n' resp = self.c.get('/api/v1/reports/?username=' + self.username + '&api_key=' + self.api_key + '&format=csv') self.assertEquals(resp.content, content) def test_post_list_unauthenticated(self): """Try to Post a single report to the API without authenticated""" self.assertHttpUnauthorized(self.c.post('/api/v1/reports/', data=self.post_data)) def test_post_list_without_permissions(self): """Post a single report to the API with authenticated and without add permissions""" add_powerreport = Permission.objects.get(codename="add_powerreport") self.user.user_permissions.remove(add_powerreport) self.assertEqual(PowerReport.objects.count(), 5) self.assertHttpUnauthorized(self.c.post('/api/v1/reports/?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.post_data), content_type="application/json")) # Verify that nothing was added to the db self.assertEqual(PowerReport.objects.count(), 5) def test_post_list_with_permissions(self): """Post a single report to the API with authenticated and with add permissions""" add_powerreport = Permission.objects.get(codename="add_powerreport") self.user.user_permissions.add(add_powerreport) # Check how many there are first. self.assertEqual(PowerReport.objects.count(), 5) self.assertHttpCreated(self.c.post('/api/v1/reports/?username=%s&api_key=%s' % (self.username, self.api_key), data=json.dumps(self.post_data), content_type="application/json")) # Verify a new one has been added. self.assertEqual(PowerReport.objects.count(), 6) def test_put_detail_unauthenticated(self): """Put a single report is not allowed from the API with authenticated""" self.assertHttpMethodNotAllowed(self.c.put(self.detail_url)) def test_put_detail(self): """Put a single report is not allowed from the API with authenticated""" self.assertHttpMethodNotAllowed(self.c.put(self.detail_url, self.get_credentials())) def test_delete_detail_unauthenticated(self): """Delete a single report is not allowed from the API without authenticated""" self.assertHttpMethodNotAllowed(self.c.delete(self.detail_url)) def test_delete_detail(self): """Delete a single report is not allowed from the API with authenticated""" self.assertHttpMethodNotAllowed(self.c.delete(self.detail_url, self.get_credentials())) class AreaResourceTest(ResourceTestCase): def setUp(self): super(AreaResourceTest, self).setUp() # Create a user. self.username = u'john' self.password = u'doe' self.user = User.objects.create_user(self.username, 'john@example.com', self.password) self.api_key = self.user.api_key.key self.c = Client() self.post_data = { 'city': 'Douala', 'country': 'Cameroon', 'name': 'Douala VI', 'pop_per_sq_km': '12323.00', 'overall_population': 200000 } # Fetch the ``Entry`` object we'll use in testing. # Note that we aren't using PKs because they can change depending # on what other tests are running. self.area_1 = Area.objects.get(name="Douala I") # We also build a detail URI, since we will be using it all over. # DRY, baby. DRY. self.detail_url = '/api/v1/areas/{0}/'.format(self.area_1.pk) def get_credentials(self): return {"username": self.username, "api_key": self.api_key} def test_get_list_unauthorzied(self): """Get areas from the API without authenticated""" self.assertHttpUnauthorized(self.c.get('/api/v1/areas/')) def test_get_list_json(self): """Get areas from the API with authenticated. With checks if all keys are available""" resp = self.c.get('/api/v1/areas/', self.get_credentials()) self.assertValidJSONResponse(resp) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp)['objects']), 5) # Here, we're checking an entire structure for the expected data. self.assertEqual(self.deserialize(resp)['objects'][0], { 'city': 'Douala', 'country': 'Cameroon', 'name': 'Douala I', 'pop_per_sq_km': '0.00', 'overall_population': 223214, 'resource_uri': '/api/v1/areas/1/', 'id': '1' }) def test_get_detail_unauthenticated(self): """Try to Get a single area from the API without authenticated""" self.assertHttpUnauthorized(self.c.get(self.detail_url)) def test_get_detail_json(self): """Get a single area from the API with authenticated. With checks if all keys are available""" resp = self.c.get(self.detail_url, self.get_credentials()) self.assertValidJSONResponse(resp) # We use ``assertKeys`` here to just verify the keys, not all the data. self.assertKeys(self.deserialize(resp), ['id', 'city', 'country', 'name', 'pop_per_sq_km', 'overall_population', 'resource_uri']) self.assertEqual(self.deserialize(resp)['name'], "Douala I") def test_post_list_unauthenticated(self): """Try to Post a single area to the API without authenticated""" self.assertHttpMethodNotAllowed(self.c.post('/api/v1/areas/', data=self.post_data)) def test_post_list(self): """Try to Post a single area to the API with authenticated""" self.assertHttpMethodNotAllowed(self.c.post('/api/v1/areas/?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.post_data), content_type="application/json")) def test_put_detail_unauthenticated(self): """Try to Put a single area is not allowed from the API with authenticated""" self.assertHttpMethodNotAllowed(self.c.put(self.detail_url)) def test_put_detail(self): """Try to Put a single area is not allowed from the API with authenticated""" self.assertHttpMethodNotAllowed(self.c.put(self.detail_url, self.get_credentials())) def test_delete_detail_unauthenticated(self): """Try to Delete a single area is not allowed from the API without authenticated""" self.assertHttpMethodNotAllowed(self.c.delete(self.detail_url)) def test_delete_detail(self): """Try to Delete a single area is not allowed from the API with authenticated""" self.assertHttpMethodNotAllowed(self.c.delete(self.detail_url, self.get_credentials())) class ContributorResourceTest(ResourceTestCase): def setUp(self): super(ContributorResourceTest, self).setUp() # Create a user. self.username = u'john' self.password = u'doe' self.email = u'john@example.com' self.user = User.objects.create_user(self.username, self.email, self.password) self.api_key = self.user.api_key.key self.c = Client() self.post_data = { 'name': 'james', 'email': 'james@example.com', 'password': self.user.__dict__["password"], 'language': 'DE' } self.put_data = { 'email': 'jonny@example.com', 'language': 'DE' } # Fetch the ``Entry`` object we'll use in testing. # Note that we aren't using PKs because they can change depending # on what other tests are running. Contributor(name="Tobias", email="tobias@test.de").save() self.contributor_1 = Contributor.objects.get(pk=1) # We also build a detail URI, since we will be using it all over. # DRY, baby. DRY. self.list_url = '/api/v1/contributors/' self.detail_url = '{0}{1}/'.format(self.list_url, self.contributor_1.pk) def get_credentials(self): return {"username": self.username, "api_key": self.api_key} def test_get_list_unauthorzied(self): """Get areas from the API without authenticated""" self.assertHttpUnauthorized(self.c.get(self.list_url)) def test_get_list_json(self): """Get users from the API with authenticated. With checks if all keys are available""" resp = self.c.get(self.list_url, self.get_credentials()) self.assertValidJSONResponse(resp) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp)['objects']), 1) # Here, we're checking an entire structure for the expected data. self.assertEqual(self.deserialize(resp)['objects'][0], { 'id': '1', 'name': 'Tobias', 'email': 'tobias@test.de', 'password': settings.DUMMY_PASSWORD, 'resource_uri': self.detail_url, 'language': 'EN' # EN is the default value }) def test_get_detail_unauthenticated(self): """Try to Get a single user from the API without authenticated""" self.assertHttpUnauthorized(self.c.get(self.detail_url)) def test_get_detail_json(self): """Get a single user from the API with authenticated. With checks if all keys are available""" resp = self.c.get(self.detail_url, self.get_credentials()) self.assertValidJSONResponse(resp) # We use ``assertKeys`` here to just verify the keys, not all the data. self.assertKeys(self.deserialize(resp), ['id', 'name', 'email', 'password', 'resource_uri', 'language']) self.assertEqual(self.deserialize(resp)['name'], "Tobias") def test_post_list_unauthenticated(self): """Try to Post a single user to the API without authenticated""" self.assertHttpUnauthorized(self.c.post(self.list_url, data=self.post_data)) def test_post_list_without_permissions(self): """Try to Post a single user to the API with authenticated and without permission""" self.assertHttpUnauthorized(self.c.post(self.list_url + '?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.post_data), content_type="application/json")) def test_post_list_with_permissions(self): """Try to Post a single user to the API with authenticated and permission""" add_contributor = Permission.objects.get(codename="add_contributor") self.user.user_permissions.add(add_contributor) self.assertEqual(Contributor.objects.count(), 1) self.assertHttpCreated(self.c.post(self.list_url + '?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.post_data), content_type="application/json")) self.assertEqual(Contributor.objects.count(), 2) def test_put_detail_unauthenticated(self): """Try to Put a single user is not allowed from the API with authenticated""" self.assertHttpUnauthorized(self.c.put(self.detail_url)) def test_put_detail_without_permission(self): """Try to Put a single user is not allowed from the API with authenticated and without permission""" self.assertHttpUnauthorized(self.c.put(self.detail_url, self.get_credentials())) def test_put_detail_with_permission(self): """Try to Put a single user is not allowed from the API with authenticated abd permission""" change_contributor = Permission.objects.get(codename="change_contributor") self.user.user_permissions.add(change_contributor) self.assertEqual(Contributor.objects.count(), 1) self.assertHttpAccepted(self.c.put(self.detail_url + '?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.put_data), content_type="application/json")) self.assertEqual(Contributor.objects.count(), 1) self.assertEqual(Contributor.objects.get(pk=self.contributor_1.pk).email, self.put_data.get("email")) def test_delete_detail_unauthenticated(self): """Delete a single user is not allowed from the API without authenticated""" self.assertHttpUnauthorized(self.c.delete(self.detail_url)) def test_delete_detail_without_permission(self): """Delete a single user is allowed from the API with authenticated""" self.assertEqual(Contributor.objects.count(), 1) self.assertHttpUnauthorized(self.c.delete(self.detail_url, self.get_credentials())) self.assertEqual(Contributor.objects.count(), 1) def test_delete_detail_with_permision(self): """Delete a single user is allowed from the API with authenticated""" delete_contributor = Permission.objects.get(codename="delete_contributor") self.user.user_permissions.add(delete_contributor) self.assertEqual(Contributor.objects.count(), 1) self.assertHttpAccepted(self.c.delete(self.detail_url, self.get_credentials())) self.assertEqual(Contributor.objects.count(), 0) class DeviceResourceTest(ResourceTestCase): def setUp(self): super(DeviceResourceTest, self).setUp() # Create a user. self.username = u'john' self.password = u'doe' self.email = u'john@example.com' self.user = User.objects.create_user(self.username, self.email, self.password) self.api_key = self.user.api_key.key self.c = Client() self.post_data = { 'category': 'SubDevice', 'phone_number': '12381294323', } self.put_data = { 'phone_number': "4267486238" } Contributor(name="Tobias", email="tobias@test.de").save() self.contributor = Contributor.objects.get(pk=1) Device(phone_number="01234567890", category="MainDevice", contributor=self.contributor).save() # Fetch the ``Entry`` object we'll use in testing. # Note that we aren't using PKs because they can change depending # on what other tests are running. self.device_1 = Device.objects.get(pk=1) # We also build a detail URI, since we will be using it all over. # DRY, baby. DRY. self.list_url = u'/api/v1/devices/' self.detail_url = u'{0}{1}/'.format(self.list_url, self.device_1.pk) self.user_url = u'/api/v1/contributors/{0}/'.format(self.contributor.id) def get_credentials(self): return {"username": self.username, "api_key": self.api_key} def test_get_list_unauthorzied(self): """Get devices from the API without authenticated""" self.assertHttpUnauthorized(self.c.get(self.list_url)) def test_get_list_json(self): """Get devices from the API with authenticated. With checks if all keys are available.""" resp = self.c.get(self.list_url, self.get_credentials()) self.assertValidJSONResponse(resp) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp)['objects']), 1) # Here, we're checking an entire structure for the expected data. self.assertEqual(self.deserialize(resp)['objects'][0], { u"category": u"MainDevice", u"phone_number": u"01234567890", u"resource_uri": self.detail_url, u"contributor": self.user_url }) def test_get_detail_unauthenticated(self): """Try to Get a single device from the API without authentication""" self.assertHttpUnauthorized(self.c.get(self.detail_url)) def test_get_detail_json(self): """Get a single device from the API with authentication. Also checks if all keys are available.""" resp = self.c.get(self.detail_url, self.get_credentials()) self.assertValidJSONResponse(resp) # We use ``assertKeys`` here to just verify the keys, not all the data. self.assertKeys(self.deserialize(resp), ['category', 'phone_number', 'resource_uri', 'contributor']) self.assertEqual(self.deserialize(resp)['category'], "MainDevice") def test_post_list_unauthenticated(self): """Try to Post a single device to the API without authenticated""" self.assertHttpUnauthorized(self.c.post(self.list_url, data=self.post_data)) def test_post_list_without_permissions(self): """Try to Post a single device to the API with authenticated and without permission""" self.assertHttpUnauthorized(self.c.post(self.list_url + '?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.post_data), content_type="application/json")) def test_post_list_with_permissions(self): """Post a single device to the API with authenticated and permission""" add_device = Permission.objects.get(codename="add_device") self.user.user_permissions.add(add_device) self.assertEqual(Device.objects.count(), 1) self.assertHttpCreated(self.c.post(self.list_url + '?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.post_data), content_type="application/json")) self.assertEqual(Device.objects.count(), 2) def test_put_detail_unauthenticated(self): """Try to Put a single device is not allowed from the API with authenticated""" self.assertHttpUnauthorized(self.c.put(self.detail_url)) def test_put_detail_without_permission(self): """Try to Put a single device is not allowed from the API with authenticated and without permission""" self.assertHttpUnauthorized(self.c.put(self.detail_url, self.get_credentials())) def test_put_detail_with_permission(self): """Put a single device is not allowed from the API with authenticated abd permission""" change_device = Permission.objects.get(codename="change_device") self.user.user_permissions.add(change_device) self.assertEqual(Device.objects.count(), 1) self.assertHttpAccepted(self.c.put(self.detail_url + '?username=' + self.username + '&api_key=' + self.api_key, data=json.dumps(self.put_data), content_type="application/json")) self.assertEqual(Device.objects.count(), 1) self.assertEqual(Device.objects.get(pk=self.device_1.pk).phone_number, self.put_data.get("phone_number")) def test_delete_detail_unauthenticated(self): """Delete a single device is not allowed from the API without authenticated""" self.assertHttpUnauthorized(self.c.delete(self.detail_url)) def test_delete_detail_without_permission(self): """Delete a single device is not allowed from the API with authenticated and without permission""" self.assertHttpUnauthorized(self.c.delete(self.detail_url, self.get_credentials())) def test_delete_detail_with_permission(self): """Delete a single device is not allowed from the API with authenticated and permission""" delete_device = Permission.objects.get(codename="delete_device") self.user.user_permissions.add(delete_device) self.assertEqual(Device.objects.count(), 1) self.assertHttpAccepted(self.c.delete(self.detail_url, self.get_credentials())) self.assertEqual(Device.objects.count(), 0)

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0.046144

0.872414

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0.255102

0

null

0

1

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null

0

6

f08ede78472e08b68a663cd50956771e9b1345ea

44

py

Python

testpy.py

hasanhamidi/Pointnet2_PyTorch

50aa86337eb13adcec6ce865e5af4ab70852ace8

[ "Unlicense" ]

null

testpy.py

hasanhamidi/Pointnet2_PyTorch

50aa86337eb13adcec6ce865e5af4ab70852ace8

[ "Unlicense" ]

null

testpy.py

hasanhamidi/Pointnet2_PyTorch

50aa86337eb13adcec6ce865e5af4ab70852ace8

[ "Unlicense" ]

null

print("_".join("Area_4_bb".split("_")[0:2]))

44

0.613636

8

44

2.875

1

0

0.068182

0

44

1

44

0.454545

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0.244444

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true

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null

0

1

0

1

0

null

0

1

0

1

0

6

f09bd9eb918a19106463ea390760706557ba5bec

4,107

py

Python

Code/.ipynb_checkpoints/CCS3_Cleanup_Table-checkpoint.py

arpanganguli/Snapshot_of_Indian_Economy

ff7301cdc2850b426cedad9b92be723e92a4f45a

[ "MIT" ]

null

Code/.ipynb_checkpoints/CCS3_Cleanup_Table-checkpoint.py

arpanganguli/Snapshot_of_Indian_Economy

ff7301cdc2850b426cedad9b92be723e92a4f45a

[ "MIT" ]

null

Code/.ipynb_checkpoints/CCS3_Cleanup_Table-checkpoint.py

arpanganguli/Snapshot_of_Indian_Economy

ff7301cdc2850b426cedad9b92be723e92a4f45a

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Apr 20 18:50:34 2021 @author: arpanganguli """ # import packages import pandas as pd from sqlalchemy import create_engine import os # import files HOME = os.path.dirname(os.getcwd()) URL = 'sqlite:///' + os.path.join(HOME, 'Database/CCS.db') engine = create_engine(URL, echo = True) # sqlite:////absolute/path/to/file.db # ALITER: engine = create_engine('sqlite:////Users/arpanganguli/Documents/Projects/SINE/Database/CCS.db', echo = True) # sqlite:////absolute/path/to/file.db # initial query query_string = "SELECT * FROM CCS" df = pd.read_sql(sql=query_string, con=engine) print(df.head()) df_working = df.copy(deep=True) # deep copy to preserve original dataframe df_working.dropna(how="all") # delete null and na values df_working.drop('Assembly Constituency Name', inplace=True, axis=1) df_working[["Age" ,"Gender" ,"Annual Income" ,"Educational Qualification" ,"No. of Family Members" ,"Occupation of Respondent" ,"Perception on General Economic condition - compared to one year ago" ,"Outlook on General Economic condition - one year ahead" ,"Perception on Household income - compared to one year ago" ,"Outlook on Household income - one year ahead" ,"Perception on Household spending - compared to one year ago" ,"Outlook on Household spending - one year ahead" ,"Perception on essential spending - compared to one year ago" ,"Outlook on essential spending - one year ahead" ,"Perception on non-essential spending - compared to one year ago" ,"Outlook on non-essential spending - one year ahead" ,"Perception on Employment scenario - compared to one year ago" ,"Outlook on Employment scenario - one year ahead" ,"Perception on General prices - compared to one year ago" ,"Outlook on General prices - one year ahead" ,"Perception on Inflation - compared to one year ago" ,"Outlook on Inflation - one year ahead"]] = df_working[["Age" ,"Gender" ,"Annual Income" ,"Educational Qualification" ,"No. of Family Members" ,"Occupation of Respondent" ,"Perception on General Economic condition - compared to one year ago" ,"Outlook on General Economic condition - one year ahead" ,"Perception on Household income - compared to one year ago" ,"Outlook on Household income - one year ahead" ,"Perception on Household spending - compared to one year ago" ,"Outlook on Household spending - one year ahead" ,"Perception on essential spending - compared to one year ago" ,"Outlook on essential spending - one year ahead" ,"Perception on non-essential spending - compared to one year ago" ,"Outlook on non-essential spending - one year ahead" ,"Perception on Employment scenario - compared to one year ago" ,"Outlook on Employment scenario - one year ahead" ,"Perception on General prices - compared to one year ago" ,"Outlook on General prices - one year ahead" ,"Perception on Inflation - compared to one year ago" ,"Outlook on Inflation - one year ahead"]].astype('category') df_working[["Age" ,"Gender" ,"Annual Income" ,"Educational Qualification" ,"No. of Family Members"]] = df_working[["Age" ,"Gender" ,"Annual Income" ,"Educational Qualification" ,"No. of Family Members"]].apply(lambda x: x.cat.codes) print(df_working.head())

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f0f22c1b90c9f47fa013c70b2990e4d84631a8ff

328

py

Python

target_extraction/__init__.py

apmoore1/target-extraction

4139ecdc432411fcc4ed2723f4165e7dae93544d

[ "Apache-2.0" ]

5

2019-07-27T13:57:47.000Z

2021-06-16T13:17:44.000Z

target_extraction/__init__.py

apmoore1/target-extraction

4139ecdc432411fcc4ed2723f4165e7dae93544d

[ "Apache-2.0" ]

26

2019-05-01T11:56:35.000Z

2020-06-18T16:06:40.000Z

target_extraction/__init__.py

apmoore1/target-extraction

4139ecdc432411fcc4ed2723f4165e7dae93544d

[ "Apache-2.0" ]

1

2019-07-11T07:16:09.000Z

from target_extraction import data_types, data_types_util from target_extraction import tokenizers, pos_taggers, taggers_helper from target_extraction import dataset_parsers from target_extraction import allen from target_extraction import analysis # Required to import LanguageModelTokenEmbedder from allennlp_models import lm

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f0f2f83256755222a218b7a124ff42997f08582f

5,041

py

Python

QUANTAXIS_Test/QAFetch_Test/QAQuery_Option_Test.py

Sinovel/QUANTAXIS

97f1ea2140f58c92ff5c84b851886d9eda1f9ac3

[ "MIT" ]

14

2021-01-11T02:19:26.000Z

2022-02-02T04:16:08.000Z

QUANTAXIS_Test/QAFetch_Test/QAQuery_Option_Test.py

Sinovel/QUANTAXIS

97f1ea2140f58c92ff5c84b851886d9eda1f9ac3

[ "MIT" ]

2

2019-12-25T09:24:47.000Z

2020-01-13T07:33:50.000Z

QUANTAXIS_Test/QAFetch_Test/QAQuery_Option_Test.py

Sinovel/QUANTAXIS

97f1ea2140f58c92ff5c84b851886d9eda1f9ac3

[ "MIT" ]

8

2021-01-16T09:43:30.000Z

2022-02-02T04:16:12.000Z

import unittest import pprint from QUANTAXIS import QUANTAXIS as QA from QUANTAXIS.QAUtil.QADate import * from QUANTAXIS.QAUtil.QADate_trade import * from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_option_contract_time_to_market) from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_commodity_option_M_contract_time_to_market) from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_commodity_option_SR_contract_time_to_market) from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_commodity_option_CU_contract_time_to_market) from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_commodity_option_C_contract_time_to_market) from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_commodity_option_CF_contract_time_to_market) from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_commodity_option_RU_contract_time_to_market) from QUANTAXIS.QASU.main import * import numpy as np import pandas as pd class TestOptionData(unittest.TestCase): def testQA_SU_save_stock_day(self): QA_SU_save_option_50etf_day('tdx') def testGetOptionMin(self): # # 去掉商品期权，保留510050开头的50ETF期权 rows = QA_fetch_get_option_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: # print(aRow) print(aRow.code); result2 = QA.QA_fetch_get_option_min(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); # def testGetOptionList(self): # # 去掉商品期权，保留510050开头的50ETF期权 rows = QA_fetch_get_option_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: #print(aRow) print(aRow.code); result2 = QA.QA_fetch_get_option_day(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); # #pprint.pprint(result) #strToday = QA_util_today_str(); #result2 = QA.QA_fetch_get_option_day(package='tdx', code='10001214', start=strToday, end=strToday) #pprint.pprint(result2) def testGetCommodityCuOptionList(self): rows = QA_fetch_get_commodity_option_CU_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: #print(aRow) print("准备获取；-》") print(aRow) print("-------------") result2 = QA.QA_fetch_get_option_day(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); print("结束获取；-》") def testGetCommodityRUOptionList(self): rows = QA_fetch_get_commodity_option_RU_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: # print(aRow) print("准备获取；-》") print(aRow) print("-------------") result2 = QA.QA_fetch_get_option_day(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); print("结束获取；-》") def testGetCommodityCOptionList(self): rows = QA_fetch_get_commodity_option_C_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: # print(aRow) print("准备获取；-》") print(aRow) print("-------------") result2 = QA.QA_fetch_get_option_day(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); time.sleep(1) print("结束获取；-》") def testGetCommodityCFOptionList(self): rows = QA_fetch_get_commodity_option_CF_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: # print(aRow) print("准备获取；-》") print(aRow) print("-------------") result2 = QA.QA_fetch_get_option_day(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); print("结束获取；-》") def testGetCommoditySROptionList(self): rows = QA_fetch_get_commodity_option_SR_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: #print(aRow) print("准备获取；-》") print(aRow) print("-------------") result2 = QA.QA_fetch_get_option_day(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); print("结束获取；-》") def testGetCommodityMOptionList(self): rows = QA_fetch_get_commodity_option_M_contract_time_to_market() strToday = QA_util_today_str() for aRow in rows: #print(aRow) print("准备获取；-》") print(aRow) print("-------------") result2 = QA.QA_fetch_get_option_day(package='tdx', code=aRow.code, start='2018-01-01', end=strToday) pprint.pprint(result2); print("结束获取；-》") def setUp(self): pass def tearDown(self): pass

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0

null

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null

0

6

ac8f114b25d249a18d6b5a4c7b4a078aa6bfa438

5,535

py

Python

MDAF/TestFunctions/Alpine.py

ejeanboris/MDAF_COMPLETE

e99c9762ea7304acc0a6795d33a55449a9800d89

[ "CC0-1.0" ]

1

2020-12-30T23:04:51.000Z

MDAF/TestFunctions/Alpine.py

ejeanboris/MDAF_COMPLETE

e99c9762ea7304acc0a6795d33a55449a9800d89

[ "CC0-1.0" ]

null

MDAF/TestFunctions/Alpine.py

ejeanboris/MDAF_COMPLETE

e99c9762ea7304acc0a6795d33a55449a9800d89

[ "CC0-1.0" ]

null

import math def main(args): ''' >>> (main([0,0]) - 0)<0.001 True #_# dimmensions: 2 #_# upper: 10 #_# lower: -10 #_# minimum: [0,0] #_# opti: 0 #_# cm_angle: array([[1.51864326e+00], [5.34186818e-01], [1.13769921e+00], [6.01461615e-01], [1.04599092e+02], [4.22931285e+01], [3.99368522e-01], [1.77424245e-01], [0.00000000e+00], [4.10000000e-02]]) #_# cm_conv: array([[0.46153846], [0.25 ], [0.48076923], [0.51923077], [0. ], [0.012 ]]) #_# cm_grad: array([[0.25422972], [0.15759445], [0. ], [0.028 ]]) #_# ela_conv: array([[ 5.49000000e-01], [ 0.00000000e+00], [-9.65901820e-01], [ 3.67214694e+00], [ 1.00000000e+03], [ 1.01000000e-01]]) #_# ela_curv: array([[2.42619601e-01], [3.20078135e+00], [5.52064754e+00], [5.50463872e+00], [7.36057390e+00], [1.32601509e+01], [2.88883096e+00], [0.00000000e+00], [1.00366087e+00], [1.58589209e+00], [6.83833374e+00], [2.81557142e+00], [5.79921113e+00], [1.54395057e+02], [1.45430442e+01], [0.00000000e+00], [1.00365450e+00], [1.31915593e+00], [2.27082230e+01], [2.14233097e+00], [4.20450173e+00], [2.46681056e+03], [1.83077553e+02], [0.00000000e+00], [8.40000000e+03], [8.49000000e-01]]) #_# ela_distr: array([[ 0.25150949], [-0.27290042], [ 1. ], [ 0. ], [ 0.016 ]]) #_# ela_local: array([[9.00000000e+01], [9.00000000e-01], [1.88758092e+00], [4.70404069e-01], [1.00000000e-02], [1.11235955e-02], [1.00000000e-02], [1.00000000e+01], [3.50000000e+01], [4.09500000e+01], [4.00000000e+01], [4.50000000e+01], [1.00000000e+02], [1.50201044e+01], [4.18500000e+03], [3.17000000e-01]]) #_# ela_meta: array([[0.01734519], [1.57345526], [0.09271256], [0.1030968 ], [1.11200464], [0.01547931], [0.12118168], [1.03294402], [0.11114866], [0. ], [0.007 ]]) #_# basic: array([[ 2.00000000e+00], [ 5.00000000e+02], [-1.00000000e+01], [-1.00000000e+01], [ 1.00000000e+01], [ 1.00000000e+01], [-1.01319516e+01], [ 1.74084063e+01], [ 6.00000000e+00], [ 6.00000000e+00], [ 3.60000000e+01], [ 3.60000000e+01], [ 1.00000000e+00], [ 0.00000000e+00], [ 1.00000000e-03]]) #_# disp: array([[ 0.81723285], [ 1.02288078], [ 1.00043181], [ 0.91285508], [ 0.94977571], [ 1.02392436], [ 1.0226333 ], [ 0.95015092], [-1.90889021], [ 0.23897563], [ 0.00451003], [-0.91017497], [-0.51416167], [ 0.2449211 ], [ 0.23170416], [-0.51032053], [ 0. ], [ 0.009 ]]) #_# limo: array([[ 0.16281056], [ 0.12956626], [ 1.98950747], [ 1.3449436 ], [ 0.07059703], [ 0.01217696], [ 7.43415949], [10.64830298], [ 1.09951251], [ 1.00718078], [ 1.70875965], [ 0.7110877 ], [ 0. ], [ 0.027 ]]) #_# nbc: array([[ 0.13314903], [ 0.74751908], [ 0.1546862 ], [ 0.22427331], [-0.51183856], [ 0. ], [ 0.031 ]]) #_# pca: array([[1. ], [1. ], [1. ], [1. ], [0.50758756], [0.50758756], [0.3850794 ], [0.38716446], [0. ], [0.002 ]]) #_# gcm: array([[4. ], [0.11111111], [0.88888889], [0.52777778], [0.24241125], [0.25 ], [0.25032008], [0.25694859], [0.00648962], [0.11111111], [0.11805556], [0.11111111], [0.13888889], [0.01388889], [0.47222222], [0.25 ], [0.25 ], [0.25 ], [0.25 ], [0. ], [1. ], [0.25694859], [0.02777778], [0. ], [0.022 ], [4. ], [0.11111111], [0.88888889], [0.75 ], [0.23441552], [0.25 ], [0.25096224], [0.26366 ], [0.01218501], [0.02777778], [0.0625 ], [0.02777778], [0.16666667], [0.06944444], [0.25 ], [0.25 ], [0.25 ], [0.25 ], [0.25 ], [0. ], [1. ], [0.26366 ], [0.02777778], [0. ], [0.022 ], [4. ], [0.11111111], [0.88888889], [0.75 ], [0.23766183], [0.25 ], [0.24248077], [0.27737663], [0.01848444], [0.02777778], [0.0625 ], [0.02777778], [0.16666667], [0.06944444], [0.25 ], [0.25 ], [0.25 ], [0.25 ], [0.25 ], [0. ], [1. ], [0.27737663], [0.02777778], [0. ], [0.024 ]]) #_# ic: array([[0.75502423], [1.00600601], [1.46273336], [0.48548549], [0.44176707], [0. ], [0.166 ]]) #_# Represented: 1 ''' vals = [(x*math.sin(x)+0.1*x) for i,x in enumerate(args)] return sum(vals) if __name__ == "__main__": import doctest doctest.testmod()

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1

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null

0

1

0

6

acc3e0f8eb5031e1626aaf3486f04c548570281d

44

py

Python

avalanche/training/plugins/strategy_plugin.py

coreylowman/avalanche

9c1e7765f1577c400ec0c57260221bcffd9566a2

[ "MIT" ]

1

2021-09-15T13:57:27.000Z

avalanche/training/plugins/strategy_plugin.py

coreylowman/avalanche

9c1e7765f1577c400ec0c57260221bcffd9566a2

[ "MIT" ]

null

avalanche/training/plugins/strategy_plugin.py

coreylowman/avalanche

9c1e7765f1577c400ec0c57260221bcffd9566a2

[ "MIT" ]

null

from avalanche.core import SupervisedPlugin

22

43

0.886364

5

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7.8

1

0

0.090909

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0.975

0

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1

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1

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0

1

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null

0

1

0

1

0

1

0

6

acea80043678f69a92cea2bd1992b736973083a7

246

py

Python

bats/__init__.py

nalzok/BATS.py

d2c6c0bbec547fe48f13a62e23d41ff040b48796

[ "MIT" ]

2

2020-10-29T19:40:54.000Z

2021-04-13T22:00:55.000Z

bats/__init__.py

nalzok/BATS.py

d2c6c0bbec547fe48f13a62e23d41ff040b48796

[ "MIT" ]

3

2020-04-25T00:50:50.000Z

2021-07-02T15:27:03.000Z

bats/__init__.py

nalzok/BATS.py

d2c6c0bbec547fe48f13a62e23d41ff040b48796

[ "MIT" ]

1

2021-06-28T16:23:37.000Z

from ._version import __version__ from .topology import * from .dense import * from .linalg import * from .linalg_f2 import * from .linalg_f3 import * from .linalg_auto import * from .visualization import persistence_diagram, persistence_barcode

27.333333

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null

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1

0

1

0

1

0

6

c5a1a2c09a5bd214ab6ebccd45d119efe9e5b352

107

py

Python

schedules/Errors.py

YishaiYosifov/schedules

a13f7b1b31163b67fddf1036e3cfdc9071031132

[ "MIT" ]

null

schedules/Errors.py

YishaiYosifov/schedules

a13f7b1b31163b67fddf1036e3cfdc9071031132

[ "MIT" ]

null

schedules/Errors.py

YishaiYosifov/schedules

a13f7b1b31163b67fddf1036e3cfdc9071031132

[ "MIT" ]

null

class Errors(): class RangeError(Exception): pass class AsyncError(Exception): pass

21.4

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10

107

6.7

0.6

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true

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1

0

null

0

1

0

1

0

6

c5d4f69e4088766789c2e26266a4c0f80e2416fb

78

py

Python

6 kyu/Diff That Poly.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

6

2020-09-03T09:32:25.000Z

2020-12-07T04:10:01.000Z

6 kyu/Diff That Poly.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

1

2021-12-13T15:30:21.000Z

6 kyu/Diff That Poly.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

null

def diff(poly): return [j*(len(poly)-1-i) for i,j in enumerate(poly[:-1])]

39

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null

0

1

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1

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6

a870de5eb58d917152a3f2ff7315049917379a0a

344

py

Python

modules/tests/test_weather.py

rampreeth/JARVIS-on-Messenger

414d0440f111cffb457707b62f0d022512ced6c4

[ "MIT" ]

1,465

2016-04-19T02:04:51.000Z

2022-03-31T03:40:14.000Z

modules/tests/test_weather.py

rampreeth/JARVIS-on-Messenger

414d0440f111cffb457707b62f0d022512ced6c4

[ "MIT" ]

529

2016-04-20T03:40:43.000Z

2022-02-03T12:37:05.000Z

modules/tests/test_weather.py

rampreeth/JARVIS-on-Messenger

414d0440f111cffb457707b62f0d022512ced6c4

[ "MIT" ]

1,407

2016-04-19T02:16:38.000Z

2022-03-30T14:24:41.000Z

import modules def test_weather(): assert ('weather' == modules.process_query('tell me the weather in London')[0]) assert ('weather' == modules.process_query('weather Delhi')[0]) assert ('weather' == modules.process_query('What\'s the weather in Texas?')[0]) assert ('weather' != modules.process_query('something random')[0])

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null

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6

a8a7b1f81a18164cb02edc013dacf5c2a8fc48e2

24

py

Python

tests/build/scipy/scipy/_build_utils/__init__.py

crougeux/-a-i_v1.6.3_modif

b499a812e79f335d082d3f9b1070e0465ad67bab

[ "BSD-3-Clause" ]

26

2018-02-14T23:52:58.000Z

2021-08-16T13:50:03.000Z

tests/build/scipy/scipy/_build_utils/__init__.py

crougeux/-a-i_v1.6.3_modif

b499a812e79f335d082d3f9b1070e0465ad67bab

[ "BSD-3-Clause" ]

5

2021-03-19T08:36:48.000Z

2022-01-13T01:52:34.000Z

tests/build/scipy/scipy/_build_utils/__init__.py

crougeux/-a-i_v1.6.3_modif

b499a812e79f335d082d3f9b1070e0465ad67bab

[ "BSD-3-Clause" ]

10

2018-08-13T19:38:39.000Z

2020-04-19T03:02:00.000Z

from ._fortran import *

12

23

0.75

3

24

5.666667

1

0

0.166667

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1

24

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0

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null

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null

0

1

0

1

0

1

0

6

a8b28c37fc7b8a88683a42e9e1e1c0d582934ed8

21,414

py

Python

pdf4me/Pdf4mePythonClientApiTest/unittests/pdfA_client_test.py

pdf4me/pdf4me-clientapi-python

17a1c1baae861369084d658475be56be42ca92d0

[ "MIT" ]

1

2020-06-30T22:18:17.000Z

pdf4me/Pdf4mePythonClientApiTest/unittests/pdfA_client_test.py

pdf4me/pdf4me-clientapi-python

17a1c1baae861369084d658475be56be42ca92d0

[ "MIT" ]

null

pdf4me/Pdf4mePythonClientApiTest/unittests/pdfA_client_test.py

pdf4me/pdf4me-clientapi-python

17a1c1baae861369084d658475be56be42ca92d0

[ "MIT" ]

1

2018-07-10T17:40:37.000Z

import sys sys.path.append('../../Pdf4mePythonClientApi') sys.path.append('../../Pdf4mePythonClientApiTest') import unittest from nose.tools import assert_raises, assert_equal from pdf4me.client.pdf4me_client import Pdf4meClient from pdf4me.client.pdfA_client import PdfAClient from pdf4me.helper.file_reader import FileReader from pdf4me.helper.pdf4me_exceptions import Pdf4meClientException from pdf4me.model import CreatePdfA, Document, PdfAAction, Rotate, RotateAction, PdfRotate, Protect, ProtectAction, Validate, ValidateAction, Repair, RepairAction, SignPdf, SignAction from test_helper.check import Check from test_helper.test_files import TestFiles class PdfAClientTest(unittest.TestCase): pdf4me_client = Pdf4meClient() pdfA_client = PdfAClient(pdf4me_client) test_files = TestFiles() check = Check() file_reader = FileReader() def create_create_pdfA(self): create_pdfA = CreatePdfA( document=Document( doc_data=self.test_files.pdf_data ), pdf_a_action=PdfAAction( compliance='pdfA2u' ) ) return create_pdfA def test_pdfA_throws_exception(self): with assert_raises(Pdf4meClientException) as e: self.pdfA_client.pdfA(None) assert_equal(e.exception.msg, 'The create_pdfA parameter cannot be None.') def test_pdfA_document_throws_exception(self): # prepare args create_pdfA = self.create_create_pdfA() create_pdfA.document = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.pdfA(create_pdfA=create_pdfA) assert_equal(e.exception.msg, 'The create_pdfA document cannot be None.') def test_pdfA_document_data_throws_exception(self): # prepare args create_pdfA = self.create_create_pdfA() create_pdfA.document.doc_data = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.pdfA(create_pdfA=create_pdfA) assert_equal(e.exception.msg, 'The create_pdfA document cannot be None.') def test_pdfA_action_data_throws_exception(self): # prepare args create_pdfA = self.create_create_pdfA() create_pdfA.pdf_a_action = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.pdfA(create_pdfA=create_pdfA) assert_equal(e.exception.msg, 'The pdf_a_action cannot be None.') def test_pdfA_no_none_response(self): # request create_pdfA = self.create_create_pdfA() res = self.pdfA_client.pdfA(create_pdfA) # validation self.assertIsNotNone(res) self.assertIsNotNone(res['document']) self.assertIsNotNone(res['document']['doc_data']) def test_pdfA_doc_length(self): # request create_pdfA = self.create_create_pdfA() res = self.pdfA_client.pdfA(create_pdfA) # validation original_length = self.test_files.pdf_length pdfA = len(res['document']['doc_data']) self.assertTrue(self.check.below_not_zero(pdfA, original_length)) def test_create_pdfA_no_none_response(self): # request res = self.pdfA_client.create_pdfA( pdf_compliance='pdfA2u', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_create_pdfA_doc_length(self): # request res = self.pdfA_client.create_pdfA( pdf_compliance='pdfA2u', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation original_length = self.test_files.pdf_length pdfA = self.check.get_doc_base64_length(res) self.assertTrue(self.check.below_not_zero(pdfA, original_length)) def test_create_pdfA_without_compliance_no_none_response(self): # request res = self.pdfA_client.create_pdfA( file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_create_pdfA_without_compliance_doc_length(self): # request res = self.pdfA_client.create_pdfA( file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation original_length = self.test_files.pdf_length pdfA = self.check.get_doc_base64_length(res) self.assertTrue(self.check.below_not_zero(pdfA, original_length)) # Rotate def create_rotate(self): rotate = Rotate( document=Document( doc_data=self.test_files.pdf_data ), rotate_action=RotateAction( rotation_list=[ PdfRotate( page_nr=2, rotation_type='clockwise' ) ] ) ) return rotate def test_rotate_throws_exception(self): create_rotate: Rotate = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.rotate(rotate=create_rotate) assert_equal(e.exception.msg, 'The rotate parameter cannot be None.') def test_rotate_document_throws_exception(self): # prepare args create_rotate = self.create_rotate() create_rotate.document = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.rotate(rotate=create_rotate) assert_equal(e.exception.msg, 'The rotate document cannot be None.') def test_rotate_document_data_throws_exception(self): # prepare args create_rotate = self.create_rotate() create_rotate.document.doc_data = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.rotate(rotate=create_rotate) assert_equal(e.exception.msg, 'The rotate document cannot be None.') def test_rotate_action_data_throws_exception(self): # prepare args create_rotate = self.create_rotate() create_rotate.rotate_action = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.rotate(rotate=create_rotate) assert_equal(e.exception.msg, 'The rotate_action cannot be None.') def test_rotate_no_none_response(self): # request create_rotate = self.create_rotate() res = self.pdfA_client.rotate(create_rotate) # validation self.assertIsNotNone(res) self.assertIsNotNone(res['document']) self.assertIsNotNone(res['document']['doc_data']) def test_rotate_doc_length(self): # request create_rotate = self.create_rotate() res = self.pdfA_client.rotate(create_rotate) # validation original_length = self.test_files.pdf_length rotate = len(res['document']['doc_data']) self.assertTrue(self.check.below_not_zero(rotate, original_length)) def test_rotate_page_no_none_response(self): # request res = self.pdfA_client.rotate_page( page_nr='2', rotate='clockwise', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_rotate_page_doc_length(self): # request res = self.pdfA_client.rotate_page( page_nr='2', rotate='clockwise', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation original_length = self.test_files.pdf_length rotate = self.check.get_doc_base64_length(res) self.assertTrue(self.check.below_not_zero(rotate, original_length)) # def test_rotate_page_without_compliance_no_none_response(self): # # request # res = self.pdfA_client.rotate_page( # file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) # ) # # # validation # self.assertIsNotNone(res) # # def test_rotate_page_without_compliance_doc_length(self): # # request # res = self.pdfA_client.rotate_page( # file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) # ) # # # validation # original_length = self.test_files.pdf_length # pdfA = self.check.get_doc_base64_length(res) # # self.assertTrue(self.check.below_not_zero(pdfA, original_length)) def test_rotate_document_no_none_response(self): # request res = self.pdfA_client.rotate_document( rotate='clockwise', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_rotate_document_doc_length(self): # request res = self.pdfA_client.rotate_document( rotate='clockwise', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation original_length = self.test_files.pdf_length rotate = self.check.get_doc_base64_length(res) self.assertTrue(self.check.below_not_zero(rotate, original_length)) # Protect def create_protect(self): protect = Protect( document=Document( doc_data=self.test_files.pdf_data ), protect_action=ProtectAction( user_password='pdf4me', owner_password='pdf4me', # unlock=None, # permissions=None ) ) return protect def test_protect_throws_exception(self): create_protect: Protect = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.protect(protect=create_protect) assert_equal(e.exception.msg, 'The protect parameter cannot be None.') def test_protect_document_throws_exception(self): # prepare args create_protect = self.create_protect() create_protect.document = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.protect(protect=create_protect) assert_equal(e.exception.msg, 'The protect document cannot be None.') def test_protect_document_data_throws_exception(self): # prepare args create_protect = self.create_protect() create_protect.document.doc_data = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.protect(protect=create_protect) assert_equal(e.exception.msg, 'The protect document cannot be None.') def test_protect_action_data_throws_exception(self): # prepare args create_protect = self.create_protect() create_protect.protect_action = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.protect(protect=create_protect) assert_equal(e.exception.msg, 'The protect_action cannot be None.') def test_protect_no_none_response(self): # request create_protect = self.create_protect() res = self.pdfA_client.protect(create_protect) # validation self.assertIsNotNone(res) self.assertIsNotNone(res['document']) self.assertIsNotNone(res['document']['doc_data']) def test_protect_doc_length(self): # request create_protect = self.create_protect() res = self.pdfA_client.protect(create_protect) # validation original_length = self.test_files.pdf_length protect = len(res['document']['doc_data']) self.assertTrue(self.check.below_not_zero(protect, original_length)) def test_protect_document_no_none_response(self): # request res = self.pdfA_client.protect_document( password='pdf4me', permissions='all', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_protect_document_doc_length(self): # request res = self.pdfA_client.protect_document( password='pdf4me', permissions='all', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation original_length = self.test_files.pdf_length protect = self.check.get_doc_base64_length(res) self.assertTrue(self.check.below_not_zero(protect, original_length)) def test_unlock_document_no_none_response(self): # request res = self.pdfA_client.unlock_document( password='pdf4me', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_unlock_document_doc_length(self): # request res = self.pdfA_client.unlock_document( password='pdf4me', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation original_length = self.test_files.pdf_length unlock = self.check.get_doc_base64_length(res) self.assertTrue(self.check.below_not_zero(unlock, original_length)) # Validate def create_validate(self): validate = Validate( document=Document( doc_data=self.test_files.pdf_data ), validate_action=ValidateAction( pdf_conformance='pdfA2u' ) ) return validate def test_validate_throws_exception(self): create_validate: Validate = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.validate(validate=create_validate) assert_equal(e.exception.msg, 'The validate parameter cannot be None.') def test_validate_document_throws_exception(self): # prepare args create_validate = self.create_validate() create_validate.document = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.validate(validate=create_validate) assert_equal(e.exception.msg, 'The validate document cannot be None.') def test_validate_document_data_throws_exception(self): # prepare args create_validate = self.create_validate() create_validate.document.doc_data = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.validate(validate=create_validate) assert_equal(e.exception.msg, 'The validate document cannot be None.') def test_validate_action_data_throws_exception(self): # prepare args create_validate = self.create_validate() create_validate.validate_action = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.validate(validate=create_validate) assert_equal(e.exception.msg, 'The validate_action cannot be None.') def test_validate_no_none_response(self): # request create_validate = self.create_validate() res = self.pdfA_client.validate(create_validate) # validation self.assertIsNotNone(res) def test_validate_pdfValidation_length(self): # request create_validate = self.create_validate() res = self.pdfA_client.validate(create_validate) # validation self.assertIsNotNone(res) self.assertIsNotNone(res['pdf_validation']) validate = len(res['pdf_validation']['validations']) self.assertTrue(self.check.not_zero(validate)) def test_validate_document_no_none_response(self): # request res = self.pdfA_client.validate_document( pdf_compliance='pdfA2u', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_validate_document_pdfValidation_length(self): # request res = self.pdfA_client.validate_document( pdf_compliance='pdfA2u', file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) self.assertIsNotNone(res['pdf_validation']) validate = len(res['pdf_validation']['validations']) self.assertTrue(self.check.not_zero(validate)) # Repair def create_repair(self): repair = Repair( document=Document( doc_data=self.test_files.pdf_data ), repair_action=RepairAction( ) ) return repair def test_repair_throws_exception(self): create_repair: Repair = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.repair(repair=create_repair) assert_equal(e.exception.msg, 'The repair parameter cannot be None.') def test_repair_document_throws_exception(self): # prepare args create_repair = self.create_repair() create_repair.document = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.repair(repair=create_repair) assert_equal(e.exception.msg, 'The repair document cannot be None.') def test_repair_document_data_throws_exception(self): # prepare args create_repair = self.create_repair() create_repair.document.doc_data = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.repair(repair=create_repair) assert_equal(e.exception.msg, 'The repair document cannot be None.') def test_repair_no_none_response(self): # request create_repair = self.create_repair() res = self.pdfA_client.repair(create_repair) # validation self.assertIsNotNone(res) self.assertIsNotNone(res['document']) self.assertIsNotNone(res['document']['doc_data']) def test_repair_doc_length(self): # request create_repair = self.create_repair() res = self.pdfA_client.repair(create_repair) # validation original_length = self.test_files.pdf_length repair = len(res['document']['doc_data']) self.assertTrue(self.check.below_not_zero(repair, original_length)) def test_repair_document_no_none_response(self): # request res = self.pdfA_client.repair_document( file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res) def test_repair_document_doc_length(self): # request res = self.pdfA_client.repair_document( file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation original_length = self.test_files.pdf_length repair = self.check.get_doc_base64_length(res) self.assertTrue(self.check.below_not_zero(repair, original_length)) # SignPdf def create_sign_pdf(self): sign_pdf = SignPdf( document=Document( doc_data=self.test_files.pdf_data ), sign_action=SignAction( ) ) return sign_pdf def test_sign_pdf_throws_exception(self): create_sign_pdf: SignPdf = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.sign_pdf(sign_pdf=create_sign_pdf) assert_equal(e.exception.msg, 'The sign_pdf parameter cannot be None.') def test_sign_pdf_document_throws_exception(self): # prepare args create_sign_pdf = self.create_sign_pdf() create_sign_pdf.document = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.sign_pdf(sign_pdf=create_sign_pdf) assert_equal(e.exception.msg, 'The sign_pdf document cannot be None.') def test_sign_pdf_document_data_throws_exception(self): # prepare args create_sign_pdf = self.create_sign_pdf() create_sign_pdf.document.doc_data = None with assert_raises(Pdf4meClientException) as e: self.pdfA_client.sign_pdf(sign_pdf=create_sign_pdf) assert_equal(e.exception.msg, 'The sign_pdf document cannot be None.') # def test_sign_pdf_no_none_response(self): # # request # create_sign_pdf = self.create_sign_pdf() # res = self.pdfA_client.sign_pdf(create_sign_pdf) # # # validation # self.assertIsNotNone(res) # self.assertIsNotNone(res['document']) # self.assertIsNotNone(res['document']['doc_data']) # # def test_sign_pdf_doc_length(self): # # request # create_sign_pdf = self.create_sign_pdf() # res = self.pdfA_client.sign_pdf(create_sign_pdf) # # # validation # original_length = self.test_files.pdf_length # sign_pdf = len(res['document']['doc_data']) # # self.assertTrue(self.check.below_not_zero(sign_pdf, original_length)) # Metadata def test_metadata_no_none_response(self): # request res = self.pdfA_client.metadata( file=self.file_reader.get_file_handler(path=self.test_files.pdf_path) ) # validation self.assertIsNotNone(res)

32.843558

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0.824789

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null

0

1

0

null

0

6

764a396e497210818b3b8a9378f28b1be8c49da3

6,239

py

Python

tests/actions/test_move.py

tank0226/organize

d5595a52f06ea6c805fe421dcc2429a3ccd03b09

[ "MIT" ]

1,231

2018-01-13T17:06:24.000Z

2022-03-31T22:14:36.000Z

tests/todo/todo_move.py

ytzhangFTD/organize

706992385b1e4063cf5eb574511c49263dcc17b5

[ "MIT" ]

170

2018-03-13T19:15:17.000Z

2022-03-31T10:14:15.000Z

tests/todo/todo_move.py

ytzhangFTD/organize

706992385b1e4063cf5eb574511c49263dcc17b5

[ "MIT" ]

86

2018-03-14T02:12:49.000Z

2022-03-27T00:16:07.000Z

import os from organize.actions import Move from pathlib import Path from organize.utils import DotDict USER_DIR = os.path.expanduser("~") ARGS = DotDict(basedir=Path.home(), path=Path.home() / "test.py", simulate=False) def test_tilde_expansion(mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir): mock_exists.return_value = False mock_samefile.return_value = False move = Move(dest="~/newname.py", overwrite=False) updates = move.run(**ARGS) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "newname.py") ) assert updates == {"path": Path("~/newname.py").expanduser()} def test_into_folder(mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir): mock_exists.return_value = False mock_samefile.return_value = False move = Move(dest="~/somefolder/", overwrite=False) updates = move.run(**ARGS) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "somefolder", "test.py"), ) assert updates == {"path": Path(USER_DIR) / "somefolder" / "test.py"} def test_overwrite(mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir): mock_exists.return_value = True mock_samefile.return_value = False move = Move(dest="~/somefolder/", overwrite=True) updates = move.run(**ARGS) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_called_with(os.path.join(USER_DIR, "somefolder", "test.py")) mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "somefolder", "test.py"), ) assert updates is not None def test_already_exists(mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir): mock_exists.side_effect = [True, False] mock_samefile.return_value = False move = Move(dest="~/folder/", overwrite=False) updates = move.run(**ARGS) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "folder", "test 2.py"), ) assert updates is not None def test_already_exists_multiple( mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir ): mock_exists.side_effect = [True, True, True, False] mock_samefile.return_value = False move = Move(dest="~/folder/", overwrite=False) updates = move.run(**ARGS) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "folder", "test 4.py"), ) assert updates is not None def test_already_exists_multiple_separator( mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir ): mock_exists.side_effect = [True, True, True, False] mock_samefile.return_value = False move = Move(dest="~/folder/", overwrite=False, counter_separator="_") updates = move.run(**ARGS) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "folder", "test_4.py"), ) assert updates is not None def test_makedirs(mock_parent, mock_move, mock_trash): move = Move(dest="~/some/new/folder/", overwrite=False) updates = move.run(**ARGS) mock_parent.mkdir.assert_called_with(parents=True, exist_ok=True) mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "some", "new", "folder", "test.py"), ) assert updates is not None def test_args(mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir): args = ARGS.merge({"nr": {"upper": 1}}) mock_exists.return_value = False mock_samefile.return_value = False move = Move(dest="~/{nr.upper}-name.py", overwrite=False) updates = move.run(**args) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "1-name.py") ) assert updates is not None def test_path(mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir): mock_exists.return_value = False mock_samefile.return_value = False move = Move(dest="~/{path.stem}/{path.suffix}/{path.name}", overwrite=False) updates = move.run(**ARGS) mock_mkdir.assert_called_with(exist_ok=True, parents=True) mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_called_with( src=os.path.join(USER_DIR, "test.py"), dst=os.path.join(USER_DIR, "test", ".py", "test.py"), ) assert updates is not None def test_keep_location(mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir): mock_exists.return_value = True mock_samefile.return_value = True move = Move(dest="~/test.py") updates = move.run(**ARGS) mock_mkdir.assert_not_called() mock_exists.assert_called_with() mock_trash.assert_not_called() mock_move.assert_not_called() assert updates is not None def test_dont_keep_case_sensitive( mock_exists, mock_samefile, mock_move, mock_trash, mock_mkdir ): mock_exists.return_value = True mock_samefile.return_value = True move = Move(dest="~/TEST.PY") updates = move.run(**ARGS) assert mock_mkdir.call_count > 0 mock_exists.assert_called_with() mock_trash.assert_not_called() assert mock_move.call_count > 0 assert updates is not None

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0

null

0

1

0

null

0

6

4f17b93fa6cf1894584ca01717a6e7f199d0dab5

647

py

Python

bireme/main/decorators.py

viniciusandrade/fi-admin-fork

5187af08d1424f275222422ed12f9e54c14caa5b

[ "MIT", "Python-2.0", "Apache-2.0", "BSD-3-Clause" ]

5

2016-04-08T19:45:25.000Z

2022-03-24T16:56:49.000Z

bireme/main/decorators.py

viniciusandrade/fi-admin-fork

5187af08d1424f275222422ed12f9e54c14caa5b

[ "MIT", "Python-2.0", "Apache-2.0", "BSD-3-Clause" ]

1,214

2015-03-10T14:47:10.000Z

2022-03-31T12:15:05.000Z

bireme/main/decorators.py

viniciusandrade/fi-admin-fork

5187af08d1424f275222422ed12f9e54c14caa5b

[ "MIT", "Python-2.0", "Apache-2.0", "BSD-3-Clause" ]

7

2015-06-01T17:58:22.000Z

2021-09-29T12:34:19.000Z

from django.http import HttpResponseForbidden from functools import wraps def advanced_permission(method): @wraps(method) def wrapper(request, *args, **kwargs): user = request.user if not user.is_superuser and user.profile.type == "basic": return HttpResponseForbidden() return method(request, *args, **kwargs) return wrapper def superuser_permission(method): @wraps(method) def wrapper(request, *args, **kwargs): user = request.user if not user.is_superuser: return HttpResponseForbidden() return method(request, *args, **kwargs) return wrapper

26.958333

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70

647

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647

24

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null

0

1

0

1

0

6

4f3fd72a146a443c510cae4d21c42dc46ddafd13

5,297

py

Python

tests/test_utils.py

doctorlard/nikola

d6dd2fc4af6fa0d92dfda500393bbd235b60df2a

[ "MIT" ]

1

2015-12-14T21:38:33.000Z

tests/test_utils.py

doctorlard/nikola

d6dd2fc4af6fa0d92dfda500393bbd235b60df2a

[ "MIT" ]

1

2019-08-18T13:37:20.000Z

2019-08-18T16:09:08.000Z

tests/test_utils.py

doctorlard/nikola

d6dd2fc4af6fa0d92dfda500393bbd235b60df2a

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals import unittest import mock from nikola.post import get_meta class dummy(object): pass class GetMetaTest(unittest.TestCase): def test_getting_metadata_from_content(self): file_metadata = [".. title: Nikola needs more tests!\n", ".. slug: write-tests-now\n", ".. date: 2012/09/15 19:52:05\n", ".. tags:\n", ".. link:\n", ".. description:\n", "Post content\n"] opener_mock = mock.mock_open(read_data=file_metadata) opener_mock.return_value.readlines.return_value = file_metadata post = dummy() post.source_path = 'file_with_metadata' post.metadata_path = 'file_with_metadata.meta' with mock.patch('nikola.post.codecs.open', opener_mock, create=True): meta = get_meta(post) self.assertEqual('Nikola needs more tests!', meta['title']) self.assertEqual('write-tests-now', meta['slug']) self.assertEqual('2012/09/15 19:52:05', meta['date']) self.assertFalse('tags' in meta) self.assertFalse('link' in meta) self.assertFalse('description' in meta) def test_get_title_from_rest(self): file_metadata = [".. slug: write-tests-now\n", ".. date: 2012/09/15 19:52:05\n", ".. tags:\n", ".. link:\n", ".. description:\n", "Post Title\n", "----------\n"] opener_mock = mock.mock_open(read_data=file_metadata) opener_mock.return_value.readlines.return_value = file_metadata post = dummy() post.source_path = 'file_with_metadata' post.metadata_path = 'file_with_metadata.meta' with mock.patch('nikola.post.codecs.open', opener_mock, create=True): meta = get_meta(post) self.assertEqual('Post Title', meta['title']) self.assertEqual('write-tests-now', meta['slug']) self.assertEqual('2012/09/15 19:52:05', meta['date']) self.assertFalse('tags' in meta) self.assertFalse('link' in meta) self.assertFalse('description' in meta) def test_get_title_from_fname(self): file_metadata = [".. slug: write-tests-now\n", ".. date: 2012/09/15 19:52:05\n", ".. tags:\n", ".. link:\n", ".. description:\n"] opener_mock = mock.mock_open(read_data=file_metadata) opener_mock.return_value.readlines.return_value = file_metadata post = dummy() post.source_path = 'file_with_metadata' post.metadata_path = 'file_with_metadata.meta' with mock.patch('nikola.post.codecs.open', opener_mock, create=True): meta = get_meta(post, 'file_with_metadata') self.assertEqual('file_with_metadata', meta['title']) self.assertEqual('write-tests-now', meta['slug']) self.assertEqual('2012/09/15 19:52:05', meta['date']) self.assertFalse('tags' in meta) self.assertFalse('link' in meta) self.assertFalse('description' in meta) def test_use_filename_as_slug_fallback(self): file_metadata = [".. title: Nikola needs more tests!\n", ".. date: 2012/09/15 19:52:05\n", ".. tags:\n", ".. link:\n", ".. description:\n", "Post content\n"] opener_mock = mock.mock_open(read_data=file_metadata) opener_mock.return_value.readlines.return_value = file_metadata post = dummy() post.source_path = 'Slugify this' post.metadata_path = 'Slugify this.meta' with mock.patch('nikola.post.codecs.open', opener_mock, create=True): meta = get_meta(post, 'Slugify this') self.assertEqual('Nikola needs more tests!', meta['title']) self.assertEqual('slugify-this', meta['slug']) self.assertEqual('2012/09/15 19:52:05', meta['date']) self.assertFalse('tags' in meta) self.assertFalse('link' in meta) self.assertFalse('description' in meta) def test_extracting_metadata_from_filename(self): post = dummy() post.source_path = '2013-01-23-the_slug-dubdubtitle.md' post.metadata_path = '2013-01-23-the_slug-dubdubtitle.meta' with mock.patch('nikola.post.codecs.open', create=True): meta = get_meta(post, '(?P<date>\d{4}-\d{2}-\d{2})-(?P<slug>.*)-(?P<title>.*)\.md') self.assertEqual('dubdubtitle', meta['title']) self.assertEqual('the_slug', meta['slug']) self.assertEqual('2013-01-23', meta['date']) def test_get_meta_slug_only_from_filename(self): post = dummy() post.source_path = 'some/path/the_slug.md' post.metadata_path = 'some/path/the_slug.meta' with mock.patch('nikola.post.codecs.open', create=True): meta = get_meta(post) self.assertEqual('the_slug', meta['slug']) if __name__ == '__main__': unittest.main()

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null

0

6

4f7d343c75f75aa722fcdea561f93b13caf2fecd

7

py

Python

Random-Programs/dev/games/terminal/testenviroment.py

naumoff0/Archive

d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610

[ "MIT" ]

null

Random-Programs/dev/games/terminal/testenviroment.py

naumoff0/Archive

d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610

[ "MIT" ]

null

Random-Programs/dev/games/terminal/testenviroment.py

naumoff0/Archive

d4ad2da89abb1576dd5a7c72ded6bf9b45c3f610

[ "MIT" ]

null

±C;j=

7

0.285714

4

7

1.25

1

0

7

1

7

0.285714

0

null

0

null

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1

null

0

1

0

1

0

null

0

1

0

6

96c37fe3f975b60c420f3029f2ed04a81740e2e3

215

py

Python

students/K33422/practical_works/Chanova_Sofya/simple_django_web_project/django_project_chanova/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

4

2020-09-03T15:41:42.000Z

2021-12-24T15:28:20.000Z

students/K33422/practical_works/Chanova_Sofya/simple_django_web_project/django_project_chanova/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

48

2020-09-13T20:22:42.000Z

2021-04-30T11:13:30.000Z

students/K33422/practical_works/Chanova_Sofya/simple_django_web_project/django_project_chanova/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

69

2020-09-06T10:32:37.000Z

2021-11-28T18:13:17.000Z

from django.contrib import admin from .models import Owner, Car, CarOwnership, DriverLicense admin.site.register(Owner) admin.site.register(Car) admin.site.register(CarOwnership) admin.site.register(DriverLicense)

26.875

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1

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null

0

1

0

1

0

6

96f0e215719e1b2faa534bcb1c3c2ce7fb1e8bc6

203

py

Python

examples/admin.py

dashdrum/django-reportview

617166b0c923fadebe5dcea1e73e598ca5a46d1c

[ "NCSA" ]

7

2015-09-17T19:24:19.000Z

2017-03-08T17:13:49.000Z

examples/admin.py

dashdrum/django-reportview

617166b0c923fadebe5dcea1e73e598ca5a46d1c

[ "NCSA" ]

null

examples/admin.py

dashdrum/django-reportview

617166b0c923fadebe5dcea1e73e598ca5a46d1c

[ "NCSA" ]

null

from models import Author, Book, Publisher, Store from django.contrib import admin admin.site.register(Author) admin.site.register(Book) admin.site.register(Publisher) admin.site.register(Store)

25.375

50

0.788177

28

203

5.714286

0.428571

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0

0.1133

203

7

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0

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true

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null

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1

0

null

0

1

0

1

0

6

8c16e3a1a65a4ecb5a6bce6391818d72b2aab497

23,823

py

Python

movie_debug.py

RenqinCai/KDD19-CoSTCo

cc19c4b029e55af1c6b2a4d60d96cb8048f22d90

[ "MIT" ]

null

movie_debug.py

RenqinCai/KDD19-CoSTCo

cc19c4b029e55af1c6b2a4d60d96cb8048f22d90

[ "MIT" ]

null

movie_debug.py

RenqinCai/KDD19-CoSTCo

cc19c4b029e55af1c6b2a4d60d96cb8048f22d90

[ "MIT" ]

null

import os import json import torch import numpy as np from torch.utils.data import Dataset import pandas as pd import argparse import copy from collections import Counter from nltk.tokenize import TweetTokenizer import gensim import random class _MOVIE(Dataset): def __init__(self, args, vocab_obj, df, boa_item_dict, boa_user_dict): super().__init__() self.m_data_dir = args.data_dir self.m_max_seq_len = args.max_seq_length self.m_batch_size = args.batch_size # self.m_vocab_file = "amazon_vocab.json" self.m_max_line = 1e10 self.m_sos_id = vocab_obj.sos_idx self.m_eos_id = vocab_obj.eos_idx self.m_pad_id = vocab_obj.pad_idx self.m_vocab_size = vocab_obj.vocab_size self.m_vocab = vocab_obj self.m_sample_num = len(df) print("sample num", self.m_sample_num) self.m_batch_num = int(self.m_sample_num/self.m_batch_size) print("batch num", self.m_batch_num) if (self.m_sample_num/self.m_batch_size - self.m_batch_num) > 0: self.m_batch_num += 1 ###get length self.m_attr_item_list = [] self.m_attr_tf_item_list = [] self.m_attr_length_item_list = [] self.m_item_batch_list = [] self.m_attr_user_list = [] self.m_attr_tf_user_list = [] self.m_attr_length_user_list = [] self.m_user_batch_list = [] self.m_pos_target_list = [] self.m_pos_len_list = [] self.m_neg_target_list = [] self.m_neg_len_list = [] self.m_user2uid = {} self.m_item2iid = {} userid_list = df.userid.tolist() itemid_list = df.itemid.tolist() # review_list = df.review.tolist() # tokens_list = df.token_idxs.tolist() pos_attr_list = df.pos_attr.tolist() neg_attr_list = df.neg_attr.tolist() # print("boa_user_dict", boa_user_dict) max_neg_len_threshold = 10000 max_attr_len = 20 for sample_index in range(self.m_sample_num): user_id = userid_list[sample_index] item_id = itemid_list[sample_index] # pos_attrlist_i = list(pos_attr_list[sample_index]) pos_attrlist_i = [int(pos_attr_list[sample_index])] neg_attrlist_i = list(neg_attr_list[sample_index]) neg_attrlist_i = [int(j) for j in neg_attrlist_i] # tmp_len = random.randint(2, 5) # neg_attrlist_i = neg_attrlist_i[:tmp_len] # neg_attrlist_i = neg_attr_list[sample_index] # attrdict_item_i = boa_item_dict[str(item_id)] # attrlist_item_i = list(attrdict_item_i.keys()) # attrlist_item_i = [int(i) for i in attrlist_item_i] # attrlist_item_i = attrlist_item_i[:max_attr_len] # attrfreq_list_item_i = list(attrdict_item_i.values()) # attrfreq_list_item_i = attrfreq_list_item_i[:max_attr_len] # attrdict_user_i = boa_user_dict[str(user_id)] # attrlist_user_i = list(attrdict_user_i.keys()) # attrlist_user_i = [int(i) for i in attrlist_user_i] # attrlist_user_i = attrlist_user_i[:max_attr_len] # attrfreq_list_user_i = list(attrdict_user_i.values()) # attrfreq_list_user_i = attrfreq_list_user_i[:max_attr_len] """ scale the item freq into the range [0, 1] """ # def max_min_scale(val_list): # vals = np.array(val_list) # min_val = min(vals) # max_val = max(vals) # if max_val == min_val: # scale_vals = np.zeros_like(vals) # # print("scale_vals", scale_vals) # else: # scale_vals = (vals-min_val)/(max_val-min_val) # scale_vals = scale_vals+1.0 # scale_val_list = list(scale_vals) # return scale_val_list # attrfreq_list_item_i = max_min_scale(attrfreq_list_item_i) # self.m_attr_item_list.append(attrlist_item_i) # self.m_attr_tf_item_list.append(attrfreq_list_item_i) # self.m_attr_length_item_list.append(len(attrlist_item_i)) # attrfreq_list_user_i = max_min_scale(attrfreq_list_user_i) # self.m_attr_user_list.append(attrlist_user_i) # self.m_attr_tf_user_list.append(attrfreq_list_user_i) # self.m_attr_length_user_list.append(len(attrlist_user_i)) self.m_user_batch_list.append(user_id) self.m_item_batch_list.append(item_id) self.m_pos_target_list.append(pos_attrlist_i) self.m_pos_len_list.append(len(pos_attrlist_i)) self.m_neg_target_list.append(neg_attrlist_i) self.m_neg_len_list.append(len(neg_attrlist_i)) print("... load train data ...", len(self.m_item_batch_list), len(self.m_attr_tf_item_list), len(self.m_attr_user_list), len(self.m_attr_tf_user_list)) # exit() def __len__(self): return len(self.m_item_batch_list) def __getitem__(self, idx): if torch.is_tensor(idx): idx = idx.tolist() i = idx # attr_item_i = self.m_attr_item_list[i] # attr_tf_item_i = self.m_attr_tf_item_list[i] # attr_length_item_i = self.m_attr_length_item_list[i] item_i = self.m_item_batch_list[i] # attr_user_i = self.m_attr_user_list[i] # attr_tf_user_i = self.m_attr_tf_user_list[i] # attr_length_user_i = self.m_attr_length_user_list[i] user_i = self.m_user_batch_list[i] pos_target_i = self.m_pos_target_list[i] # pos_len_i = self.m_pos_len_list[i] neg_target_i = self.m_neg_target_list[i] neg_len_i = self.m_neg_len_list[i] # sample_i = {"attr_item": attr_item_i, "attr_tf_item": attr_tf_item_i, "attr_length_item": attr_length_item_i, "item": item_i, "attr_user": attr_user_i, "attr_tf_user": attr_tf_user_i, "attr_length_user": attr_length_user_i, "user": user_i, "pos_target": pos_target_i, "pos_len": pos_len_i, "neg_target": neg_target_i, "neg_len": neg_len_i} sample_i = {"item": item_i, "user": user_i, "pos_target": pos_target_i, "neg_target": neg_target_i, "neg_len": neg_len_i} return sample_i @staticmethod def collate(batch): batch_size = len(batch) attr_item_iter = [] attr_tf_item_iter = [] attr_length_item_iter = [] item_iter = [] attr_user_iter = [] attr_tf_user_iter = [] attr_length_user_iter = [] user_iter = [] pos_target_iter = [] pos_len_iter = [] neg_target_iter = [] neg_len_iter = [] for i in range(batch_size): sample_i = batch[i] # attr_length_item_i = sample_i["attr_length_item"] # attr_length_item_iter.append(attr_length_item_i) # attr_length_user_i = sample_i["attr_length_user"] # attr_length_user_iter.append(attr_length_user_i) # pos_len_i = sample_i["pos_len"] # pos_len_iter.append(pos_len_i) neg_len_i = sample_i["neg_len"] neg_len_iter.append(neg_len_i) # max_attr_length_item_iter = max(attr_length_item_iter) # max_attr_length_user_iter = max(attr_length_user_iter) # max_pos_targetlen_iter = max(pos_len_iter) max_neg_targetlen_iter = max(neg_len_iter) # print("max_pos_targetlen_iter", max_pos_targetlen_iter) # print("max_neg_targetlen_iter", max_neg_targetlen_iter) # freq_pad_id = float('-inf') freq_pad_id = float(0) pad_id = 0 for i in range(batch_size): sample_i = batch[i] # attr_item_i = copy.deepcopy(sample_i["attr_item"]) # attr_item_i = [int(i) for i in attr_item_i] # attr_tf_item_i = copy.deepcopy(sample_i['attr_tf_item']) # attr_length_item_i = sample_i["attr_length_item"] # attr_item_i.extend([pad_id]*(max_attr_length_item_iter-attr_length_item_i)) # attr_item_iter.append(attr_item_i) # attr_tf_item_i.extend([freq_pad_id]*(max_attr_length_item_iter-attr_length_item_i)) # attr_tf_item_iter.append(attr_tf_item_i) item_i = sample_i["item"] item_iter.append(item_i) # attr_user_i = copy.deepcopy(sample_i["attr_user"]) # attr_user_i = [int(i) for i in attr_user_i] # attr_tf_user_i = copy.deepcopy(sample_i['attr_tf_user']) # attr_length_user_i = sample_i["attr_length_user"] # attr_user_i.extend([pad_id]*(max_attr_length_user_iter-attr_length_user_i)) # attr_user_iter.append(attr_user_i) # attr_tf_user_i.extend([freq_pad_id]*(max_attr_length_user_iter-attr_length_user_i)) # attr_tf_user_iter.append(attr_tf_user_i) user_i = sample_i["user"] user_iter.append(user_i) pos_target_i = copy.deepcopy(sample_i["pos_target"]) # pos_len_i = sample_i["pos_len"] # pos_target_i.extend([pad_id]*(max_pos_targetlen_iter-pos_len_i)) pos_target_iter.append(pos_target_i) pos_len_i = 1 pos_len_iter.append(pos_len_i) neg_target_i = copy.deepcopy(sample_i["neg_target"]) neg_len_i = sample_i["neg_len"] neg_target_i.extend([pad_id]*(max_neg_targetlen_iter-neg_len_i)) neg_target_iter.append(neg_target_i) # neg_len_i = 1 # neg_len_iter.append(pos_len_i) # attr_item_iter_tensor = torch.from_numpy(np.array(attr_item_iter)).long() # attr_tf_item_iter_tensor = torch.from_numpy(np.array(attr_tf_item_iter)).float() # attr_length_item_iter_tensor = torch.from_numpy(np.array(attr_length_item_iter)).long() item_iter_tensor = torch.from_numpy(np.array(item_iter)).long() # attr_user_iter_tensor = torch.from_numpy(np.array(attr_user_iter)).long() # attr_tf_user_iter_tensor = torch.from_numpy(np.array(attr_tf_user_iter)).float() # attr_length_user_iter_tensor = torch.from_numpy(np.array(attr_length_user_iter)).long() user_iter_tensor = torch.from_numpy(np.array(user_iter)).long() pos_target_iter_tensor = torch.from_numpy(np.array(pos_target_iter)).long() pos_len_iter_tensor = torch.from_numpy(np.array(pos_len_iter)).long() neg_target_iter_tensor = torch.from_numpy(np.array(neg_target_iter)).long() neg_len_iter_tensor = torch.from_numpy(np.array(neg_len_iter)).long() # print("neg_len_iter_tensor", neg_len_iter_tensor) return item_iter_tensor, user_iter_tensor, pos_target_iter_tensor, pos_len_iter_tensor, neg_target_iter_tensor, neg_len_iter_tensor # return None, None, None, item_iter_tensor, None, None, None, user_iter_tensor, pos_target_iter_tensor, pos_len_iter_tensor, neg_target_iter_tensor, neg_len_iter_tensor # return attr_item_iter_tensor, attr_tf_item_iter_tensor, attr_length_item_iter_tensor, item_iter_tensor, attr_user_iter_tensor, attr_tf_user_iter_tensor, attr_length_user_iter_tensor, user_iter_tensor, pos_target_iter_tensor, pos_len_iter_tensor, neg_target_iter_tensor, neg_len_iter_tensor class _MOVIE_TEST(Dataset): def __init__(self, args, vocab_obj, df, boa_item_dict, boa_user_dict): super().__init__() self.m_data_dir = args.data_dir self.m_max_seq_len = args.max_seq_length self.m_batch_size = args.batch_size # self.m_vocab_file = "amazon_vocab.json" self.m_max_line = 1e10 self.m_sos_id = vocab_obj.sos_idx self.m_eos_id = vocab_obj.eos_idx self.m_pad_id = vocab_obj.pad_idx self.m_vocab_size = vocab_obj.vocab_size self.m_vocab = vocab_obj self.m_sample_num = len(df) print("sample num", self.m_sample_num) self.m_batch_num = int(self.m_sample_num/self.m_batch_size) print("batch num", self.m_batch_num) if (self.m_sample_num/self.m_batch_size - self.m_batch_num) > 0: self.m_batch_num += 1 ###get length self.m_attr_item_list = [] self.m_attr_tf_item_list = [] self.m_attr_length_item_list = [] self.m_item_batch_list = [] self.m_attr_user_list = [] self.m_attr_tf_user_list = [] self.m_attr_length_user_list = [] self.m_user_batch_list = [] self.m_target_list = [] self.m_target_len_list = [] self.m_user2uid = {} self.m_item2iid = {} userid_list = df.userid.tolist() itemid_list = df.itemid.tolist() # review_list = df.review.tolist() # tokens_list = df.token_idxs.tolist() attr_list = df.attr.tolist() # print("boa_user_dict", boa_user_dict) # max_neg_len_threshold = 10000 max_attr_len = 20 for sample_index in range(self.m_sample_num): user_id = userid_list[sample_index] item_id = itemid_list[sample_index] attrlist_i = list(attr_list[sample_index]) attrlist_i = [int(j) for j in attrlist_i] # attrdict_item_i = boa_item_dict[str(item_id)] # attrlist_item_i = list(attrdict_item_i.keys()) # attrlist_item_i = [int(i) for i in attrlist_item_i] # attrlist_item_i = attrlist_item_i[:max_attr_len] # attrfreq_list_item_i = list(attrdict_item_i.values()) # attrfreq_list_item_i = attrfreq_list_item_i[:max_attr_len] # attrdict_user_i = boa_user_dict[str(user_id)] # attrlist_user_i = list(attrdict_user_i.keys()) # attrlist_user_i = [int(i) for i in attrlist_user_i] # attrlist_user_i = attrlist_user_i[:max_attr_len] # attrfreq_list_user_i = list(attrdict_user_i.values()) # attrfreq_list_user_i = attrfreq_list_user_i[:max_attr_len] # """ # scale the item freq into the range [0, 1] # """ # def max_min_scale(val_list): # vals = np.array(val_list) # min_val = min(vals) # max_val = max(vals) # if max_val == min_val: # scale_vals = np.zeros_like(vals) # else: # scale_vals = (vals-min_val)/(max_val-min_val) # scale_vals = scale_vals+1.0 # scale_val_list = list(scale_vals) # return scale_val_list # attrfreq_list_item_i = max_min_scale(attrfreq_list_item_i) # self.m_attr_item_list.append(attrlist_item_i) # self.m_attr_tf_item_list.append(attrfreq_list_item_i) # self.m_attr_length_item_list.append(len(attrlist_item_i)) self.m_item_batch_list.append(item_id) # attrfreq_list_user_i = max_min_scale(attrfreq_list_user_i) # self.m_attr_user_list.append(attrlist_user_i) # self.m_attr_tf_user_list.append(attrfreq_list_user_i) # self.m_attr_length_user_list.append(len(attrlist_user_i)) self.m_user_batch_list.append(user_id) self.m_target_list.append(attrlist_i) self.m_target_len_list.append(len(attrlist_i)) print("... load train data ...", len(self.m_item_batch_list), len(self.m_attr_tf_item_list), len(self.m_attr_user_list), len(self.m_attr_tf_user_list)) # exit() def __len__(self): return len(self.m_item_batch_list) def __getitem__(self, idx): if torch.is_tensor(idx): idx = idx.tolist() i = idx # attr_item_i = self.m_attr_item_list[i] # attr_tf_item_i = self.m_attr_tf_item_list[i] # attr_length_item_i = self.m_attr_length_item_list[i] item_i = self.m_item_batch_list[i] # attr_user_i = self.m_attr_user_list[i] # attr_tf_user_i = self.m_attr_tf_user_list[i] # attr_length_user_i = self.m_attr_length_user_list[i] user_i = self.m_user_batch_list[i] target_i = self.m_target_list[i] target_len_i = self.m_target_len_list[i] # sample_i = {"attr_item": attr_item_i, "attr_tf_item": attr_tf_item_i, "attr_length_item": attr_length_item_i, "item": item_i, "attr_user": attr_user_i, "attr_tf_user": attr_tf_user_i, "attr_length_user": attr_length_user_i, "user": user_i, "target": target_i, "target_len": target_len_i} sample_i = {"item": item_i, "user": user_i, "target": target_i, "target_len": target_len_i} return sample_i @staticmethod def collate(batch): batch_size = len(batch) attr_item_iter = [] attr_tf_item_iter = [] attr_length_item_iter = [] item_iter = [] attr_user_iter = [] attr_tf_user_iter = [] attr_length_user_iter = [] user_iter = [] target_iter = [] target_len_iter = [] target_mask_iter = [] for i in range(batch_size): sample_i = batch[i] # attr_length_item_i = sample_i["attr_length_item"] # attr_length_item_iter.append(attr_length_item_i) # attr_length_user_i = sample_i["attr_length_user"] # attr_length_user_iter.append(attr_length_user_i) target_len_i = sample_i["target_len"] target_len_iter.append(target_len_i) # max_attr_length_item_iter = max(attr_length_item_iter) # max_attr_length_user_iter = max(attr_length_user_iter) max_targetlen_iter = max(target_len_iter) # freq_pad_id = float('-inf') freq_pad_id = float(0) pad_id = 0 for i in range(batch_size): sample_i = batch[i] # attr_item_i = copy.deepcopy(sample_i["attr_item"]) # attr_item_i = [int(i) for i in attr_item_i] # attr_tf_item_i = copy.deepcopy(sample_i['attr_tf_item']) # attr_length_item_i = sample_i["attr_length_item"] # attr_item_i.extend([pad_id]*(max_attr_length_item_iter-attr_length_item_i)) # attr_item_iter.append(attr_item_i) # attr_tf_item_i.extend([freq_pad_id]*(max_attr_length_item_iter-attr_length_item_i)) # attr_tf_item_iter.append(attr_tf_item_i) item_i = sample_i["item"] item_iter.append(item_i) # attr_user_i = copy.deepcopy(sample_i["attr_user"]) # attr_user_i = [int(i) for i in attr_user_i] # attr_tf_user_i = copy.deepcopy(sample_i['attr_tf_user']) # attr_length_user_i = sample_i["attr_length_user"] # attr_user_i.extend([pad_id]*(max_attr_length_user_iter-attr_length_user_i)) # attr_user_iter.append(attr_user_i) # attr_tf_user_i.extend([freq_pad_id]*(max_attr_length_user_iter-attr_length_user_i)) # attr_tf_user_iter.append(attr_tf_user_i) user_i = sample_i["user"] user_iter.append(user_i) target_i = copy.deepcopy(sample_i["target"]) target_len_i = sample_i["target_len"] target_i.extend([-1]*(max_targetlen_iter-target_len_i)) target_iter.append(target_i) target_mask_iter.append([1]*target_len_i+[0]*(max_targetlen_iter-target_len_i)) # attr_item_iter_tensor = torch.from_numpy(np.array(attr_item_iter)).long() # attr_tf_item_iter_tensor = torch.from_numpy(np.array(attr_tf_item_iter)).float() # attr_length_item_iter_tensor = torch.from_numpy(np.array(attr_length_item_iter)).long() item_iter_tensor = torch.from_numpy(np.array(item_iter)).long() # attr_user_iter_tensor = torch.from_numpy(np.array(attr_user_iter)).long() # attr_tf_user_iter_tensor = torch.from_numpy(np.array(attr_tf_user_iter)).float() # attr_length_user_iter_tensor = torch.from_numpy(np.array(attr_length_user_iter)).long() user_iter_tensor = torch.from_numpy(np.array(user_iter)).long() target_iter_tensor = torch.from_numpy(np.array(target_iter)).long() target_mask_iter_tensor = torch.from_numpy(np.array(target_mask_iter)).long() return item_iter_tensor, user_iter_tensor, target_iter_tensor, target_mask_iter_tensor # return None, None, None, item_iter_tensor, None, None, None, user_iter_tensor, target_iter_tensor, target_mask_iter_tensor # return attr_item_iter_tensor, attr_tf_item_iter_tensor, attr_length_item_iter_tensor, item_iter_tensor, attr_user_iter_tensor, attr_tf_user_iter_tensor, attr_length_user_iter_tensor, user_iter_tensor, target_iter_tensor, target_mask_iter_tensor def remove_target_zero_row(args): data_dir = args.data_dir train_data_file = data_dir + "/train.pickle" valid_data_file = data_dir + "/valid.pickle" # test_data_file = data_dir+"/test.pickle" train_df = pd.read_pickle(train_data_file) valid_df = pd.read_pickle(valid_data_file) # test_df = pd.read_pickle(test_data_file) print("columns", train_df.columns) print('train num', len(train_df)) print('valid num', len(valid_df)) # print('test num', len(test_df)) item_boa_file = args.item_boa_file with open(os.path.join(data_dir, item_boa_file), 'r',encoding='utf8') as f: item_boa_dict = json.loads(f.read()) def remove_target_zero_row_df(df, train_valid_test_flag): sample_num = len(df) print("=="*10, train_valid_test_flag, "=="*10) print("input sample num", sample_num) userid_list = df.userid.tolist() itemid_list = df.itemid.tolist() attrlist_list = df.attr.tolist() # rating_list = df.rating.tolist() # rating_list = df.rating.tolist() data_list = [] for sample_i in range(sample_num): userid_i = userid_list[sample_i] itemid_i = itemid_list[sample_i] attrlist_i = attrlist_list[sample_i] # rating_i = rating_list[sample_i] item_boa_boafreq_list = item_boa_dict[str(itemid_i)] # print(item_boa_boafreq_list) item_boa = list(item_boa_boafreq_list.keys()) item_boa = [int(i) for i in item_boa] item_boafreq = list(item_boa_boafreq_list.values()) # print(item_boa) # print(attrlist_i) common_boa = list(set(attrlist_i) & set(item_boa)) if len(common_boa) == 0: continue # boa_i = set(boa_i) sub_data = [userid_i, itemid_i, attrlist_i] data_list.append(sub_data) new_df = pd.DataFrame(data_list) print(new_df.head()) new_df.columns = ['userid', 'itemid', 'attr'] print("output sample num", len(new_df)) return new_df new_train_data_file = data_dir + "/new_train.pickle" new_valid_data_file = data_dir + "/new_valid.pickle" new_train_df = remove_target_zero_row_df(train_df, "train") new_train_df.to_pickle(new_train_data_file) new_valid_df = remove_target_zero_row_df(valid_df, "valid") new_valid_df.to_pickle(new_valid_data_file) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument('--data_dir', type=str, default="../data/movie_attr_oov") parser.add_argument('--item_boa_file', type=str, default="item_attr.json") args = parser.parse_args() remove_target_zero_row(args)

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0.002997

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38.300643

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false

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0

null

0

1

0

null

0

6

8c234b480328fa2c0a1a0b86378c67e2c0db3e3d

2,142

py

Python

blaze/tests/test_vlen.py

davidfischer/blaze-core

19b55ed469aec742fd871b959115a3d87a89acb9

[ "BSD-2-Clause" ]

1

2015-01-02T18:16:07.000Z

blaze/tests/test_vlen.py

davidfischer/blaze-core

19b55ed469aec742fd871b959115a3d87a89acb9

[ "BSD-2-Clause" ]

null

blaze/tests/test_vlen.py

davidfischer/blaze-core

19b55ed469aec742fd871b959115a3d87a89acb9

[ "BSD-2-Clause" ]

null

""" Tests for the blob data type. """ import blaze import tempfile, shutil, os.path def test_simple_blob(): ds = blaze.dshape('x, blob') c = blaze.Array(["s1", "sss2"], ds) assert c[0] == "s1" assert c[1] == "sss2" def test_simple_persistent_blob(): td = tempfile.mkdtemp() tmppath = os.path.join(td, 'c') ds = blaze.dshape('x, blob') c = blaze.Array(["s1", "sss2"], ds, params=blaze.params(storage=tmppath)) assert c[0] == "s1" assert c[1] == "sss2" # Remove everything under the temporary dir shutil.rmtree(td) def test_object_blob(): ds = blaze.dshape('x, blob') c = blaze.Array([(i, str(i*.2)) for i in range(10)], ds) for i, v in enumerate(c): assert v[0] == i assert v[1] == str(i*.2) def test_object_unicode(): ds = blaze.dshape('x, blob') c = blaze.Array([u'a'*i for i in range(10)], ds) for i, v in enumerate(c): # The outcome are 0-dim arrays (that might change in the future) assert v[()] == u'a'*i def test_object_persistent_blob(): td = tempfile.mkdtemp() tmppath = os.path.join(td, 'c') ds = blaze.dshape('x, blob') c = blaze.Array([(i, str(i*.2)) for i in range(10)], ds, params=blaze.params(storage=tmppath)) for i, v in enumerate(c): assert v[0] == i assert v[1] == str(i*.2) # Remove everything under the temporary dir shutil.rmtree(td) def test_object_persistent_blob_reopen(): td = tempfile.mkdtemp() tmppath = os.path.join(td, 'c') ds = blaze.dshape('x, blob') c = blaze.Array([(i, "s"*i) for i in range(10)], ds, params=blaze.params(storage=tmppath)) c2 = blaze.open(tmppath) for i, v in enumerate(c2): assert v[0] == i assert v[1] == "s"*i # Remove everything under the temporary dir shutil.rmtree(td) def test_intfloat_blob(): ds = blaze.dshape('x, blob') c = blaze.Array([(i, i*.2) for i in range(10)], ds) for i, v in enumerate(c): print "v:", v, v[0], type(v[0]) assert v[0] == i assert v[1] == i*.2

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null

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6

8c2a8b6cfbd71b1f501ed69f5b4cac8f57bb6314

36

py

Python

python/testData/completion/paramCompletionWithEquals.after.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/paramCompletionWithEquals.after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2022-02-19T09:45:05.000Z

2022-02-27T20:32:55.000Z

python/testData/completion/paramCompletionWithEquals.after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def func(myArg) : pass func(myArg=)

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8c3c91dc1875e61ac451e5618e6619437e839ec8

397

py

Python

string3.py

yanapermana/metadecryptor

7c3e11ddb8ae05c19dbebd8ed2c744ff86ceaa2f

[ "BSD-3-Clause" ]

49

2015-07-03T21:21:45.000Z

2022-03-31T04:04:42.000Z

string3.py

hangetzzu/metadecryptor

7c3e11ddb8ae05c19dbebd8ed2c744ff86ceaa2f

[ "BSD-3-Clause" ]

3

2015-11-03T03:49:25.000Z

2019-11-04T16:03:18.000Z

string3.py

hangetzzu/metadecryptor

7c3e11ddb8ae05c19dbebd8ed2c744ff86ceaa2f

[ "BSD-3-Clause" ]

17

2015-07-05T15:24:18.000Z

2022-01-17T22:33:26.000Z

from gather3 import * class String3: def __init__(self): pass def digits(self, filename): print(gather_digit(filename)) def lowers(self, filename): print(gather_lower(filename)) def uppers(self, filename): print(gather_upper(filename)) def upperdigits(self, filename): print(gather_upper_digit(filename)) def lowerdigits(self, filename): print(gather_lower_digit(filename))

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6

8c4edf8b06ad5581aa625d4bda42a9ee442de217

181

py

Python

total_tolles_ferleihsystem/auth_providers/__init__.py

spethso/Verleihsystem-TTF

39179f9ac5b07f5106e555f82f3c9011d33805bd

[ "MIT" ]

1

2019-03-17T08:11:14.000Z

total_tolles_ferleihsystem/auth_providers/__init__.py

spethso/Verleihsystem-TTF

39179f9ac5b07f5106e555f82f3c9011d33805bd

[ "MIT" ]

60

2018-06-12T14:46:50.000Z

2020-11-16T00:50:37.000Z

total_tolles_ferleihsystem/auth_providers/__init__.py

FIUS/ttf-backend

39179f9ac5b07f5106e555f82f3c9011d33805bd

[ "MIT" ]

1

2019-12-02T19:25:59.000Z

""" Authentication Providers """ from .. import APP from . import ldap_auth_provider, basic_auth_provider if APP.config.get('DEBUG', False): from . import debug_auth_provider

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6

8c5e8ae34654b7169544c213164c00dbab6781bf

25

py

Python

test/__init__.py

Jyejin/hong

62e762cdba60e07b673d4a1b0d64e758bacdeeb6

[ "MIT" ]

null

test/__init__.py

Jyejin/hong

62e762cdba60e07b673d4a1b0d64e758bacdeeb6

[ "MIT" ]

6

2018-03-06T07:53:09.000Z

2022-03-11T23:15:52.000Z

test/__init__.py

Jyejin/hong

62e762cdba60e07b673d4a1b0d64e758bacdeeb6

[ "MIT" ]

null

from . import test_stocks

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6

4fc09d205a68bf0daf614b6c3c3912c87dcdd66f

8,203

py

Python

depth2normal/depth2normal_tf.py

velankar/LEGO

39cd11a37cdd1fbb2ce0cd1d406f0488addc9a1a

[ "MIT" ]

86

2018-07-02T07:54:49.000Z

2021-12-28T06:37:39.000Z

depth2normal/depth2normal_tf.py

velankar/LEGO

39cd11a37cdd1fbb2ce0cd1d406f0488addc9a1a

[ "MIT" ]

9

2018-06-25T23:48:54.000Z

2019-10-13T09:07:57.000Z

depth2normal/depth2normal_tf.py

velankar/LEGO

39cd11a37cdd1fbb2ce0cd1d406f0488addc9a1a

[ "MIT" ]

21

2018-08-02T14:36:16.000Z

2022-03-04T03:40:31.000Z

import tensorflow as tf import numpy as np import time def depth2normal_layer(depth_map, intrinsics, inverse): ## mask is used to filter the background with infinite depth mask = tf.greater(depth_map, tf.zeros(depth_map.get_shape().as_list())) if inverse: mask_clip = 1e-8 * (1.0-tf.cast(mask, tf.float32)) ## Add black pixels (depth = infinite) with delta depth_map += mask_clip depth_map = 1.0/depth_map ## inverse depth map kitti_shape = depth_map.get_shape().as_list() pts_3d_map = compute_3dpts(depth_map, intrinsics) print ("shape of pts_3d_map:") print (pts_3d_map.get_shape().as_list()) nei = 5 ## shift the 3d pts map by nei along 8 directions pts_3d_map_ctr = pts_3d_map[nei:-nei, nei:-nei, :] pts_3d_map_x0 = pts_3d_map[nei:-nei, 0:-(2*nei), :] pts_3d_map_y0 = pts_3d_map[0:-(2*nei), nei:-nei, :] pts_3d_map_x1 = pts_3d_map[nei:-nei, 2*nei:, :] pts_3d_map_y1 = pts_3d_map[2*nei:, nei:-nei, :] pts_3d_map_x0y0 = pts_3d_map[0:-(2*nei), 0:-(2*nei), :] pts_3d_map_x0y1 = pts_3d_map[2*nei:, 0:-(2*nei), :] pts_3d_map_x1y0 = pts_3d_map[0:-(2*nei), 2*nei:, :] pts_3d_map_x1y1 = pts_3d_map[2*nei:, 2*nei:, :] ## generate difference between the central pixel and one of 8 neighboring pixels diff_x0 = pts_3d_map_ctr - pts_3d_map_x0 diff_x1 = pts_3d_map_ctr - pts_3d_map_x1 diff_y0 = pts_3d_map_y0 - pts_3d_map_ctr diff_y1 = pts_3d_map_y1 - pts_3d_map_ctr diff_x0y0 = pts_3d_map_x0y0 - pts_3d_map_ctr diff_x0y1 = pts_3d_map_ctr - pts_3d_map_x0y1 diff_x1y0 = pts_3d_map_x1y0 - pts_3d_map_ctr diff_x1y1 = pts_3d_map_ctr - pts_3d_map_x1y1 ## flatten the diff to a #pixle by 3 matrix pix_num = (depth_map.get_shape().as_list()[0]-2*nei) * (depth_map.get_shape().as_list()[1]-2*nei) diff_x0 = tf.reshape(diff_x0, [pix_num, 3]) diff_y0 = tf.reshape(diff_y0, [pix_num, 3]) diff_x1 = tf.reshape(diff_x1, [pix_num, 3]) diff_y1 = tf.reshape(diff_y1, [pix_num, 3]) diff_x0y0 = tf.reshape(diff_x0y0, [pix_num, 3]) diff_x0y1 = tf.reshape(diff_x0y1, [pix_num, 3]) diff_x1y0 = tf.reshape(diff_x1y0, [pix_num, 3]) diff_x1y1 = tf.reshape(diff_x1y1, [pix_num, 3]) ## calculate normal by cross product of two vectors normals0 = normalize_l2(tf.cross(diff_x1, diff_y1)) normals1 = normalize_l2(tf.cross(diff_x0, diff_y0)) normals2 = normalize_l2(tf.cross(diff_x0y1, diff_x0y0)) normals3 = normalize_l2(tf.cross(diff_x1y0, diff_x1y1)) normal_vector = tf.reduce_sum(tf.concat([[normals0], [normals1], [normals2], [normals3]], 0),0) normal_vector = normalize_l2(normal_vector) normal_map = tf.reshape(tf.squeeze(normal_vector), [kitti_shape[0]-2*nei]+[kitti_shape[1]-2*nei]+[3]) print (normal_map.get_shape().as_list()) normal_map *= tf.tile(tf.expand_dims(tf.cast(mask[nei:-nei, nei:-nei], tf.float32), 2), [1,1,3]) normal_map = tf.pad(normal_map, [[nei, nei], [nei, nei], [0,0]] ,"CONSTANT") return normal_map def depth2normal_layer_batch(depth_map, intrinsics, inverse, nei=3): ## depth_map is in rank 3 [batch, h, w], intrinsics are in rank 2 [batch,4] ## mask is used to filter the background with infinite depth mask = tf.greater(depth_map, tf.zeros(depth_map.get_shape().as_list())) if inverse: mask_clip = 1e-8 * (1.0-tf.cast(mask, tf.float32)) ## Add black pixels (depth = infinite) with delta depth_map += mask_clip depth_map = 1.0/depth_map ## inverse depth map kitti_shape = depth_map.get_shape().as_list() pts_3d_map = compute_3dpts_batch(depth_map, intrinsics) ## shift the 3d pts map by nei along 8 directions pts_3d_map_ctr = pts_3d_map[:,nei:-nei, nei:-nei, :] pts_3d_map_x0 = pts_3d_map[:,nei:-nei, 0:-(2*nei), :] pts_3d_map_y0 = pts_3d_map[:,0:-(2*nei), nei:-nei, :] pts_3d_map_x1 = pts_3d_map[:,nei:-nei, 2*nei:, :] pts_3d_map_y1 = pts_3d_map[:,2*nei:, nei:-nei, :] pts_3d_map_x0y0 = pts_3d_map[:,0:-(2*nei), 0:-(2*nei), :] pts_3d_map_x0y1 = pts_3d_map[:,2*nei:, 0:-(2*nei), :] pts_3d_map_x1y0 = pts_3d_map[:,0:-(2*nei), 2*nei:, :] pts_3d_map_x1y1 = pts_3d_map[:,2*nei:, 2*nei:, :] ## generate difference between the central pixel and one of 8 neighboring pixels diff_x0 = pts_3d_map_ctr - pts_3d_map_x0 diff_x1 = pts_3d_map_ctr - pts_3d_map_x1 diff_y0 = pts_3d_map_y0 - pts_3d_map_ctr diff_y1 = pts_3d_map_y1 - pts_3d_map_ctr diff_x0y0 = pts_3d_map_x0y0 - pts_3d_map_ctr diff_x0y1 = pts_3d_map_ctr - pts_3d_map_x0y1 diff_x1y0 = pts_3d_map_x1y0 - pts_3d_map_ctr diff_x1y1 = pts_3d_map_ctr - pts_3d_map_x1y1 ## flatten the diff to a #pixle by 3 matrix pix_num = kitti_shape[0] * (kitti_shape[1]-2*nei) * (kitti_shape[2]-2*nei) diff_x0 = tf.reshape(diff_x0, [pix_num, 3]) diff_y0 = tf.reshape(diff_y0, [pix_num, 3]) diff_x1 = tf.reshape(diff_x1, [pix_num, 3]) diff_y1 = tf.reshape(diff_y1, [pix_num, 3]) diff_x0y0 = tf.reshape(diff_x0y0, [pix_num, 3]) diff_x0y1 = tf.reshape(diff_x0y1, [pix_num, 3]) diff_x1y0 = tf.reshape(diff_x1y0, [pix_num, 3]) diff_x1y1 = tf.reshape(diff_x1y1, [pix_num, 3]) ## calculate normal by cross product of two vectors normals0 = normalize_l2(tf.cross(diff_x1, diff_y1)) #* tf.tile(normals0_mask[:, None], [1,3]) normals1 = normalize_l2(tf.cross(diff_x0, diff_y0)) #* tf.tile(normals1_mask[:, None], [1,3]) normals2 = normalize_l2(tf.cross(diff_x0y1, diff_x0y0)) #* tf.tile(normals2_mask[:, None], [1,3]) normals3 = normalize_l2(tf.cross(diff_x1y0, diff_x1y1)) #* tf.tile(normals3_mask[:, None], [1,3]) normal_vector = tf.reduce_sum(tf.concat([[normals0], [normals1], [normals2], [normals3]], 0),0) normal_vector = normalize_l2(normals0) normal_map = tf.reshape(tf.squeeze(normal_vector), [kitti_shape[0]]+[kitti_shape[1]-2*nei]+[kitti_shape[2]-2*nei]+[3]) normal_map *= tf.tile(tf.expand_dims(tf.cast(mask[:, nei:-nei, nei:-nei], tf.float32), -1), [1,1,1,3]) normal_map = tf.pad(normal_map, [[0,0], [nei, nei], [nei, nei], [0,0]] ,"CONSTANT") return normal_map def compute_3dpts(pts, intrinsics): fx, fy, cx, cy = intrinsics[0], intrinsics[1], intrinsics[2], intrinsics[3] pts_3d = tf.zeros(pts.get_shape().as_list()[:2]+[3]) pts_z = pts x = tf.range(0, pts.get_shape().as_list()[1]) x = tf.cast(x, tf.float32) y = tf.range(0, pts.get_shape().as_list()[0]) y = tf.cast(y, tf.float32) pts_x = (tf.meshgrid(x, y)[0] - tf.ones(pts.get_shape().as_list())*cx) / (tf.ones(pts.get_shape().as_list())*fx) * pts pts_y = (tf.meshgrid(x, y)[1] - tf.ones(pts.get_shape().as_list())*cy) / (tf.ones(pts.get_shape().as_list())*fy) * pts pts_3d = tf.concat([[pts_x], [pts_y], [pts_z]], 0) pts_3d = tf.transpose(pts_3d, perm = [1,2,0]) return pts_3d def compute_3dpts_batch(pts, intrinsics): ## pts is the depth map of rank3 [batch, h, w], intrinsics is in [batch, 4] fx, fy, cx, cy = intrinsics[:,0], intrinsics[:,1], intrinsics[:,2], intrinsics[:,3] pts_shape = pts.get_shape().as_list() pts_3d = tf.zeros(pts.get_shape().as_list()[:2]+[3]) pts_z = pts x = tf.range(0, pts.get_shape().as_list()[2]) x = tf.cast(x, tf.float32) y = tf.range(0, pts.get_shape().as_list()[1]) y = tf.cast(y, tf.float32) cx_tile = tf.tile(tf.expand_dims(tf.expand_dims(cx, -1), -1), [1, pts_shape[1], pts_shape[2]]) cy_tile = tf.tile(tf.expand_dims(tf.expand_dims(cy, -1), -1), [1, pts_shape[1], pts_shape[2]]) fx_tile = tf.tile(tf.expand_dims(tf.expand_dims(fx, -1), -1), [1, pts_shape[1], pts_shape[2]]) fy_tile = tf.tile(tf.expand_dims(tf.expand_dims(fy, -1), -1), [1, pts_shape[1], pts_shape[2]]) pts_x = (tf.tile(tf.expand_dims(tf.meshgrid(x, y)[0], 0), [pts_shape[0], 1, 1]) - cx_tile) / fx_tile * pts pts_y = (tf.tile(tf.expand_dims(tf.meshgrid(x, y)[1], 0), [pts_shape[0], 1, 1]) - cy_tile) / fy_tile * pts pts_3d = tf.concat([[pts_x], [pts_y], [pts_z]], 0) pts_3d = tf.transpose(pts_3d, perm = [1,2,3,0]) return pts_3d def normalize_l2(vector): return tf.nn.l2_normalize(vector, 1, epsilon=1e-20)

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4fde1bf9e361c8c807ec30e51c5d7e504d3205c0

40

py

Python

Flask_App/run.py

Data-Science-Community-SRM/disease-predictor

bc12e010cbbff7bf7ab0bd4691bef4553e473998

[ "MIT" ]

4

2021-06-01T15:02:07.000Z

2022-03-31T04:56:15.000Z

Flask_App/run.py

Data-Science-Community-SRM/disease-predictor

bc12e010cbbff7bf7ab0bd4691bef4553e473998

[ "MIT" ]

1

2021-06-06T06:40:48.000Z

2021-06-12T17:35:58.000Z

Flask_App/run.py

Data-Science-Community-SRM/disease-predictor

bc12e010cbbff7bf7ab0bd4691bef4553e473998

[ "MIT" ]

2

2021-02-09T12:33:54.000Z

2021-06-06T06:36:47.000Z

#entry point from Application import A

10

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8b1548d7e655580428f978518f509f2c2af46e9e

117

py

Python

evd_ros_backend/evd_ros_core/src/evd_script/program_nodes/control_flow/conditionals/comparison.py

Wisc-HCI/CoFrame

7a54344248d80cb316d36aabd40bbd3cdbbc07eb

[ "MIT" ]

null

evd_ros_backend/evd_ros_core/src/evd_script/program_nodes/control_flow/conditionals/comparison.py

Wisc-HCI/CoFrame

7a54344248d80cb316d36aabd40bbd3cdbbc07eb

[ "MIT" ]

null

evd_ros_backend/evd_ros_core/src/evd_script/program_nodes/control_flow/conditionals/comparison.py

Wisc-HCI/CoFrame

7a54344248d80cb316d36aabd40bbd3cdbbc07eb

[ "MIT" ]

null

''' TODO ''' from .abstract import AbstractConditional class ComparisonConditional(AbstractConditional): pass

11.7

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164

py

Python

packaging/portable/customize.py

shreyas202/thonny

ef894c359200b0591cf98451907243395b817c63

[ "MIT" ]

1

2021-10-30T16:56:40.000Z

packaging/portable/customize.py

shreyas202/thonny

ef894c359200b0591cf98451907243395b817c63

[ "MIT" ]

13

2018-11-15T09:31:06.000Z

2019-11-22T18:16:54.000Z

packaging/portable/customize.py

shreyas202/thonny

ef894c359200b0591cf98451907243395b817c63

[ "MIT" ]

3

2018-11-24T14:00:30.000Z

2019-07-02T02:32:26.000Z

import os.path import thonny user_dir = os.path.join(os.path.dirname(__file__), "..", "..", "..", ".thonny") thonny.THONNY_USER_DIR = os.path.abspath(user_dir)

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py

Python

coop/__init__.py

lionls/coop

080f6684f198e1db3cbad41dfea24f481d8253f4

[ "BSD-3-Clause" ]

15

2021-09-14T07:08:31.000Z

2022-03-21T02:20:40.000Z

coop/__init__.py

lionls/coop

080f6684f198e1db3cbad41dfea24f481d8253f4

[ "BSD-3-Clause" ]

1

2022-02-11T11:17:53.000Z

2022-02-15T16:56:09.000Z

coop/__init__.py

lionls/coop

080f6684f198e1db3cbad41dfea24f481d8253f4

[ "BSD-3-Clause" ]

2

2021-09-19T09:35:31.000Z

2022-03-24T12:33:50.000Z

from . import util from .vae import VAE

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241

py

Python

orderAhead-BE/models/shipping/__init__.py

futuresea-dev/RetailApp_Flask_react-main

b5adb404fa6b227938d449ea79ed6f8a20692840

[ "Unlicense" ]

null

orderAhead-BE/models/shipping/__init__.py

futuresea-dev/RetailApp_Flask_react-main

b5adb404fa6b227938d449ea79ed6f8a20692840

[ "Unlicense" ]

null

orderAhead-BE/models/shipping/__init__.py

futuresea-dev/RetailApp_Flask_react-main

b5adb404fa6b227938d449ea79ed6f8a20692840

[ "Unlicense" ]

null

from models.postgres_db import Postgres_DB from models.shipping.zone import ShippingZone from models.shipping.method import ShippingMethod from models.shipping.instance import MethodInstance from models.shipping.facade import ShippingFacade

40.166667

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py

Python

openapi2oms/exceptions/MappingError.py

microservices/openapi2oms

a22b73427d77b57629786040ca6fa7f1e18853de

[ "MIT" ]

3

2019-10-31T11:31:05.000Z

2020-01-11T01:43:50.000Z

openapi2oms/exceptions/MappingError.py

microservices/openapi2oms

a22b73427d77b57629786040ca6fa7f1e18853de

[ "MIT" ]

3

2019-10-21T10:31:07.000Z

2021-10-18T23:44:23.000Z

openapi2oms/exceptions/MappingError.py

microservices/openapi2oms

a22b73427d77b57629786040ca6fa7f1e18853de

[ "MIT" ]

null

# -*- coding: utf-8 -*- from openapi2oms.exceptions.ConverterError import ConverterError class MappingError(ConverterError): pass

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py

Python

College/import_shaz.py

AuGom/Python-Studies

6fdb41768c7a6304a7e46bf391513161d7028de4

[ "MIT" ]

null

College/import_shaz.py

AuGom/Python-Studies

6fdb41768c7a6304a7e46bf391513161d7028de4

[ "MIT" ]

null

College/import_shaz.py

AuGom/Python-Studies

6fdb41768c7a6304a7e46bf391513161d7028de4

[ "MIT" ]

null

import shazan print(shazan.fat(5))

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50a8c73717d4062d1a9aa5bae8e5328d6c753eb8

982

py

Python

tests/test_cli.py

lorenzha/mlflow

7c7266232273019b99fa0eb72289bf1f5701815b

[ "Apache-2.0" ]

12

2018-08-11T08:25:31.000Z

2018-08-28T23:41:23.000Z

tests/test_cli.py

kmader/mlflow

781ce394953c7857b19c84dc937964a806b62798

[ "Apache-2.0" ]

17

2018-08-11T00:26:26.000Z

2018-08-29T10:14:17.000Z

tests/test_cli.py

kmader/mlflow

781ce394953c7857b19c84dc937964a806b62798

[ "Apache-2.0" ]

3

2018-08-21T15:14:51.000Z

2019-11-06T23:25:32.000Z

from click.testing import CliRunner from mock import mock from mlflow.cli import server def test_server_static_prefix_validation(): with mock.patch("mlflow.cli._run_server") as run_server_mock: CliRunner().invoke(server) run_server_mock.assert_called_once() with mock.patch("mlflow.cli._run_server") as run_server_mock: CliRunner().invoke(server, ["--static-prefix", "/mlflow"]) run_server_mock.assert_called_once() with mock.patch("mlflow.cli._run_server") as run_server_mock: result = CliRunner().invoke(server, ["--static-prefix", "mlflow/"]) assert "--static-prefix must begin with a '/'." in result.output run_server_mock.assert_not_called() with mock.patch("mlflow.cli._run_server") as run_server_mock: result = CliRunner().invoke(server, ["--static-prefix", "/mlflow/"]) assert "--static-prefix should not end with a '/'." in result.output run_server_mock.assert_not_called()

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py

Python

src/meltano/core/runner/__init__.py

code-watch/meltano

2afff73ed43669b5134dacfce61814f7f4e77a13

[ "MIT" ]

8

2020-06-16T22:29:54.000Z

2021-06-04T11:57:57.000Z

src/meltano/core/runner/__init__.py

dotmesh-io/meltano

4616d44ded9dff4e9ad19a9004349e9baa16ddd5

[ "MIT" ]

38

2019-12-09T06:53:33.000Z

2022-03-29T22:29:19.000Z

src/meltano/core/runner/__init__.py

aroder/meltano

b8d1d812f4051b6334986fc6b447d23c4d0d5043

[ "MIT" ]

2

2020-06-16T22:29:59.000Z

2020-11-04T05:47:50.000Z

class Runner: def run(self): pass

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6

50f32af191a97728093ccdf28e00761a86e4b085

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py

Python

lab-3/lab3_example/models/__init__.py

moevm/db_sql_lab_examples

01aa4843b59bbddbea739b4c7b4db8958a2f8393

[ "MIT" ]

3

2021-09-02T21:03:30.000Z

2021-10-08T13:48:04.000Z

lab-3/lab3_example/models/__init__.py

moevm/db_sql_lab_examples

01aa4843b59bbddbea739b4c7b4db8958a2f8393

[ "MIT" ]

null

lab-3/lab3_example/models/__init__.py

moevm/db_sql_lab_examples

01aa4843b59bbddbea739b4c7b4db8958a2f8393

[ "MIT" ]

1

2021-09-05T02:44:19.000Z

from .department import * from .user import *

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50fa687e71b7a749362c99fe6c3f6a9f5a9a0970

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py

Python

src/vtra/analysis/failure/road_rail_flooding.py

oi-analytics/oia-transport-archive

f89cb686704fe76c1665697b35d14caccf37f3a1

[ "PostgreSQL" ]

1

2021-03-31T02:59:50.000Z

src/vtra/analysis/failure/road_rail_flooding.py

oi-analytics/oia-transport-archive

f89cb686704fe76c1665697b35d14caccf37f3a1

[ "PostgreSQL" ]

null

src/vtra/analysis/failure/road_rail_flooding.py

oi-analytics/oia-transport-archive

f89cb686704fe76c1665697b35d14caccf37f3a1

[ "PostgreSQL" ]

1

2022-02-24T16:51:47.000Z

# -*- coding: utf-8 -*- """ Python script to assign commodity flows on the road network Created on Wed Nov 26 2017 @author: Raghav Pant """ import pandas as pd import os import psycopg2 import networkx as nx import csv from sqlalchemy import create_engine import subprocess as sp import operator import itertools import copy import matplotlib.pyplot as plt from vtra.utils import load_config def add_column_to_table(table_name, table_match, col_name, col_id, cursor, connection): sql_query = "alter table %s add column %s double precision"%(table_name,col_name) cursor.execute(sql_query) connection.commit() sql_query = ''' update %s set %s = (select %s from %s as A where %s.%s = A.%s) '''%(table_name,col_name,col_name,table_match,table_name,col_id,col_id) cursor.execute(sql_query) connection.commit() sql_query = "update %s set %s = 0 where %s is Null"%(table_name,col_name,col_name) cursor.execute(sql_query) connection.commit() def add_column_value_to_table(table_name, col_name, col_id,col_id_val_list, cursor, connection): sql_query = "alter table %s add column %s integer"%(table_name,col_name) cursor.execute(sql_query) connection.commit() for id_val in col_id_val_list: c_id = id_val[0] c_val = id_val[1] if type(c_id) is str: sql_query = ''' update %s set %s = %s where %s = '%s' '''%(table_name,col_name,c_val,col_id,c_id) else: sql_query = ''' update %s set %s = %s where %s = %s '''%(table_name,col_name,c_val,col_id,c_id) cursor.execute(sql_query) connection.commit() sql_query = "update %s set %s = 0 where %s is Null"%(table_name,col_name,col_name) cursor.execute(sql_query) connection.commit() def get_total_edges(sector_region_list): region_edges_list = [] sector_region_dict = {} for sid,region in sector_region_list: if region not in sector_region_dict.keys(): sector_region_dict.update({region:[sid]}) else: sector_region_dict[region].append(sid) for region,edges in sector_region_dict.items(): total_edges = len(edges) region_edges_list.append([region,total_edges]) return region_edges_list def get_flood_results(flood_list,element_type,sector_type,model_include,flood_depth_min,flood_depth_max,flood_return_period,sector_list,sector_region_list): flood_percentage_list = [] all_flood_edges = [fr.id for fr in flood_list if fr.network_element == element_type and fr.sector == sector_type and fr.model in model_include and fr.flood_depth >= flood_depth_min and fr.flood_depth < flood_depth_max and fr.return_period == flood_return_period] all_flood_edges = list(set(all_flood_edges)) # print (all_flood_edges) if sector_type == 'road': selected_flood_edges = [int(fr) for fr in all_flood_edges if int(fr) in sector_list] else: selected_flood_edges = [fr for fr in all_flood_edges if fr in sector_list] selected_flood_edges = list(set(selected_flood_edges)) percent_sector_flooded = int(100.0*len(selected_flood_edges)/len(sector_list)) # flood_percentage_list.append(('Total',percent_sector_flooded)) flood_percentage_list.append(('Total',len(selected_flood_edges))) sector_region_dict = {} for sid,region in sector_region_list: if region not in sector_region_dict.keys(): sector_region_dict.update({region:{'edge':[sid],'flood_edge':[]}}) if sid in selected_flood_edges: sector_region_dict[region]['flood_edge'].append(sid) else: sector_region_dict[region]['edge'].append(sid) if sid in selected_flood_edges: sector_region_dict[region]['flood_edge'].append(sid) for region,edges in sector_region_dict.items(): total_edges = len(edges['edge']) flooded_edges = len(edges['flood_edge']) if total_edges > 0: percent_flood = int(100.0*flooded_edges/total_edges) else: percent_flood = 0 # flood_percentage_list.append((region,percent_flood)) flood_percentage_list.append((region,flooded_edges)) return flood_percentage_list def get_flood_id_depth(flood_list,element_type,sector_type,model_include,flood_depth_threshold_min,flood_depth_threshold_max,flood_return_period,sector_list,sector_region_list): sector_region_dict = {} all_flood_edges = [(fr.id,fr.flood_depth) for fr in flood_list if fr.network_element == element_type and fr.sector == sector_type and fr.model in model_include and fr.flood_depth >= flood_depth_threshold_min and fr.flood_depth < flood_depth_threshold_max and fr.return_period == flood_return_period] all_flood_edges = list(set(all_flood_edges)) # print (all_flood_edges) if sector_type == 'road': selected_flood_edges = [(int(fr[0]),fr[1]) for fr in all_flood_edges if int(fr[0]) in sector_list] else: selected_flood_edges = [fr for fr in all_flood_edges if fr[0] in sector_list] # selected_flood_edges = [fr for fr in all_flood_edges if fr[0] in sector_list] # percent_sector_flooded = int(100.0*len(selected_flood_edges)/len(sector_list)) # flood_percentage_list.append(('Total',percent_sector_flooded)) # flood_percentage_list.append(('Total',len(selected_flood_edges))) sector_region_dict = {} for sid,region in sector_region_list: if region not in sector_region_dict.keys(): sector_region_dict.update({region:{'flood_edge':[]}}) if sid in [s[0] for s in selected_flood_edges]: fattr = [s for s in selected_flood_edges if s[0] == sid] if fattr: fattr_max = max([fa[1] for fa in fattr]) fattr = [sid,fattr_max] sector_region_dict[region]['flood_edge'].append(fattr) elif sid in [s[0] for s in selected_flood_edges]: fattr = [s for s in selected_flood_edges if s[0] == sid] if fattr: fattr_max = max([fa[1] for fa in fattr]) fattr = [sid,fattr_max] sector_region_dict[region]['flood_edge'].append(fattr) return sector_region_dict def main(): curdir = os.getcwd() conf = load_config() try: conn = psycopg2.connect(**conf['database']) except: print ("I am unable to connect to the database") curs = conn.cursor() engine = create_engine('postgresql://{user}:{password}@{host}:{port}/{database}'.format({ **conf['database'] })) layers_ids = [('roads_edge_flood','edge_id','road2009edges','geom'), ('rail_edge_flood','edge_id','railnetworkedges','geom'), ('roads_node_flood','node_id','road2009nodes','geom'), ('rail_node_flood','node_id','railnetworknodes','geom'), ('port_flood','node_id','seaport_nodes','geom'), ('airport_flood','node_id','airport_nodes','geom'), ('provinces_flooding','name_eng','province_level_stats','geom')] regional_table = 'province_level_stats' mode_edge_tables = ['rail_edge_flood','roads_edge_flood'] edge_id = 'edge_id' regional_name = 'name_eng' col_names = ['level13_vt_100_mask_1','level14_vt_100_mask_1','level15_vt_100_mask_1','level16_vt_100_mask_1'] excel_writer = pd.ExcelWriter('vnm_road_rail_flood_list.xlsx') for c in col_names: fl_rg_list = [] for m in mode_edge_tables: edge_region_list = [] sql_query = '''SELECT A.{0},B.{1} FROM {2} as A, {3} as B where st_intersects(A.geom,B.geom) is True and A.{4} > 0 '''.format(edge_id,regional_name,m,regional_table,c) cur.execute(sql_query) read_layer = cur.fetchall() for row in read_layer: edge_region_list.append((row[0],row[1])) tedge_regions = [r[1] for r in edge_region_list] tedge_regions = sorted(list(set(tedge_regions))) for rg in tedge_regions: ed = [r[0] for r in edge_region_list if r[1] == rg] fl_rg_list.append((rg,{'flood_edge':ed})) fl_rg_list = sorted(fl_rg_list, key=lambda x: x[0]) df = pd.DataFrame(fl_rg_list,columns = ['region','flood_list']) df.to_excel(excel_writer,c,index = False) excel_writer.save() conf = load_config() try: conn = psycopg2.connect(**conf['database']) except: print ("I am unable to connect to the database") curs = conn.cursor() engine = create_engine('postgresql://{user}:{password}@{host}:{port}/{database}'.format({ **conf['database'] })) layers_ids = [('roads_edge_flood','edge_id','road2009edges','geom'), ('rail_edge_flood','edge_id','railnetworkedges','geom'), ('roads_node_flood','node_id','road2009nodes','geom'), ('rail_node_flood','node_id','railnetworknodes','geom'), ('port_flood','node_id','seaport_nodes','geom'), ('airport_flood','node_id','airport_nodes','geom'), ('provinces_flooding','name_eng','province_level_stats','geom')] regional_table = 'province_level_stats' mode_edge_tables = ['rail_edge_flood','roads_edge_flood'] edge_id = 'edge_id' regional_name = 'name_eng' col_names = ['level13_vt_100_mask_1','level14_vt_100_mask_1','level15_vt_100_mask_1','level16_vt_100_mask_1'] excel_writer = pd.ExcelWriter('vnm_road_rail_flood_list.xlsx') for c in col_names: fl_rg_list = [] for m in mode_edge_tables: edge_region_list = [] sql_query = '''SELECT A.{0},B.{1} FROM {2} as A, {3} as B where st_intersects(A.geom,B.geom) is True and A.{4} > 0 '''.format(edge_id,regional_name,m,regional_table,c) cur.execute(sql_query) read_layer = cur.fetchall() for row in read_layer: edge_region_list.append((row[0],row[1])) tedge_regions = [r[1] for r in edge_region_list] tedge_regions = sorted(list(set(tedge_regions))) for rg in tedge_regions: ed = [r[0] for r in edge_region_list if r[1] == rg] fl_rg_list.append((rg,{'flood_edge':ed})) fl_rg_list = sorted(fl_rg_list, key=lambda x: x[0]) df = pd.DataFrame(fl_rg_list,columns = ['region','flood_list']) df.to_excel(excel_writer,c,index = False) excel_writer.save() if __name__ == '__main__': main()

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py

Python

tests/api/test_prcurve.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

null

tests/api/test_prcurve.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

11

2021-12-08T10:34:17.000Z

2022-01-20T13:40:05.000Z

tests/api/test_prcurve.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

null

import os import numpy as np import sklearn.metrics as skm from sklearn.datasets import make_classification from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split import mmu from mmu.commons._testing import generate_test_labels from mmu.commons._testing import greater_equal_tol def test_PRCMU_from_scores(): """Test PRMU.from_scores""" np.random.seed(412) thresholds = np.linspace(1e-12, 1 - 1e-12, 200) proba, _, y = generate_test_labels(N=500) yhat = greater_equal_tol(proba, thresholds[100]) sk_conf_mat = skm.confusion_matrix(y, yhat) pr_err = mmu.PRCU.from_scores(y=y, scores=proba, thresholds=thresholds) assert pr_err.conf_mats is not None assert pr_err.conf_mats.dtype == np.dtype(np.int64) prec, rec, _, _ = skm.precision_recall_fscore_support( y, yhat, zero_division=0.0 # type: ignore ) assert pr_err.chi2_scores.shape == ( pr_err.rec_grid.size, pr_err.rec_grid.size ) assert np.isclose(pr_err.precision[100], prec[1]) assert np.isclose(pr_err.recall[100], rec[1]) assert np.array_equal(pr_err.conf_mats[100], sk_conf_mat.flatten()) def test_PRCMU_from_confusion_matrices(): """Test PRMU.from_scores""" np.random.seed(412) thresholds = np.linspace(1e-12, 1 - 1e-12, 200) proba, _, y = generate_test_labels(N=500) yhat = greater_equal_tol(proba, thresholds[100]) sk_conf_mat = skm.confusion_matrix(y, yhat) conf_mats = mmu.confusion_matrices_thresholds(y, proba, thresholds) pr_err = mmu.PRCU.from_confusion_matrices(conf_mats=conf_mats) assert pr_err.conf_mats is not None assert pr_err.conf_mats.dtype == np.dtype(np.int64) prec, rec, _, _ = skm.precision_recall_fscore_support( y, yhat, zero_division=0.0 # type: ignore ) assert pr_err.chi2_scores.shape == ( pr_err.rec_grid.size, pr_err.rec_grid.size ) assert np.isclose(pr_err.precision[100], prec[1]) assert np.isclose(pr_err.recall[100], rec[1]) assert np.array_equal(pr_err.conf_mats[100], sk_conf_mat.flatten()) def test_PRCMU_from_classifier(): """Test PREU.from_classifier""" # generate seeds to be used by sklearn # do not use this in real scenarios, # it's a convenience only used in the tutorial notebooks seeds = mmu.commons.utils.SeedGenerator(234) # generate 2 class dataset X, y = make_classification( n_samples=1000, n_classes=2, random_state=seeds() ) # split into train/test sets X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.5, random_state=seeds() ) # fit a model model = LogisticRegression(solver='lbfgs') model.fit(X_train, y_train) # predict probabilities, for the positive outcome only y_scores = model.predict_proba(X_test)[:, 1] thresholds = np.linspace(1e-12, 1 - 1e-12, 200) yhat = greater_equal_tol(y_scores, thresholds[100]) sk_conf_mat = skm.confusion_matrix(y_test, yhat) pr_err = mmu.PRCU.from_classifier( clf=model, X=X_test, y=y_test, thresholds=thresholds ) assert pr_err.conf_mats is not None assert pr_err.conf_mats.dtype == np.dtype(np.int64) prec, rec, _, _ = skm.precision_recall_fscore_support( y_test, yhat, zero_division=0.0 # type: ignore ) assert pr_err.chi2_scores.shape == ( pr_err.rec_grid.size, pr_err.rec_grid.size ) assert np.isclose(pr_err.precision[100], prec[1]) assert np.isclose(pr_err.recall[100], rec[1]) assert np.array_equal(pr_err.conf_mats[100], sk_conf_mat.flatten()) def test_PRCEU_from_scores(): """Test PRMU.from_scores""" np.random.seed(412) thresholds = np.linspace(1e-12, 1 - 1e-12, 200) proba, _, y = generate_test_labels(N=500) yhat = greater_equal_tol(proba, thresholds[100]) sk_conf_mat = skm.confusion_matrix(y, yhat) pr_err = mmu.PRCU.from_scores( y=y, scores=proba, thresholds=thresholds, method='bvn' ) assert pr_err.conf_mats is not None assert pr_err.conf_mats.dtype == np.dtype(np.int64) prec, rec, _, _ = skm.precision_recall_fscore_support( y, yhat, zero_division=0.0 # type: ignore ) assert pr_err.chi2_scores.shape == ( pr_err.rec_grid.size, pr_err.rec_grid.size ) assert np.isclose(pr_err.precision[100], prec[1]) assert np.isclose(pr_err.recall[100], rec[1]) assert np.array_equal(pr_err.conf_mats[100], sk_conf_mat.flatten()) def test_PRCEU_from_confusion_matrices(): """Test PRMU.from_scores""" np.random.seed(412) thresholds = np.linspace(1e-12, 1 - 1e-12, 200) proba, _, y = generate_test_labels(N=500) yhat = greater_equal_tol(proba, thresholds[100]) sk_conf_mat = skm.confusion_matrix(y, yhat) conf_mats = mmu.confusion_matrices_thresholds(y, proba, thresholds) pr_err = mmu.PRCU.from_confusion_matrices(conf_mats=conf_mats, method='bvn') assert pr_err.conf_mats is not None assert pr_err.conf_mats.dtype == np.dtype(np.int64) prec, rec, _, _ = skm.precision_recall_fscore_support( y, yhat, zero_division=0.0 # type: ignore ) assert pr_err.chi2_scores.shape == ( pr_err.rec_grid.size, pr_err.rec_grid.size ) assert np.isclose(pr_err.precision[100], prec[1]) assert np.isclose(pr_err.recall[100], rec[1]) assert np.array_equal(pr_err.conf_mats[100], sk_conf_mat.flatten()) def test_PRCEU_from_classifier(): """Test PREU.from_classifier""" # generate seeds to be used by sklearn # do not use this in real scenarios, # it's a convenience only used in the tutorial notebooks seeds = mmu.commons.utils.SeedGenerator(234) # generate 2 class dataset X, y = make_classification( n_samples=1000, n_classes=2, random_state=seeds() ) # split into train/test sets X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.5, random_state=seeds() ) # fit a model model = LogisticRegression(solver='lbfgs') model.fit(X_train, y_train) # predict probabilities, for the positive outcome only y_scores = model.predict_proba(X_test)[:, 1] thresholds = np.linspace(1e-12, 1 - 1e-12, 200) yhat = greater_equal_tol(y_scores, thresholds[100]) sk_conf_mat = skm.confusion_matrix(y_test, yhat) pr_err = mmu.PRCU.from_classifier( clf=model, X=X_test, y=y_test, thresholds=thresholds, method='bvn' ) assert pr_err.conf_mats is not None assert pr_err.conf_mats.dtype == np.dtype(np.int64) prec, rec, _, _ = skm.precision_recall_fscore_support( y_test, yhat, zero_division=0.0 # type: ignore ) assert pr_err.chi2_scores.shape == ( pr_err.rec_grid.size, pr_err.rec_grid.size ) assert np.isclose(pr_err.precision[100], prec[1]) assert np.isclose(pr_err.recall[100], rec[1]) assert np.array_equal(pr_err.conf_mats[100], sk_conf_mat.flatten()) def test_PRU_from_scores_with_train(): """Test PREU.from_classifier""" ref_path = os.path.join( os.path.abspath(os.path.dirname(__file__)), 'train_reference_sets.npz' ) ll = np.load(ref_path) y_test = ll.get('y_test') y_score = ll.get('y_score') scores_bs = ll.get('scores_bs') pr_err = mmu.PRCU.from_scores_with_train( y_test, scores=y_score, scores_bs=scores_bs, obs_axis=0 ) exp_shape = pr_err.thresholds.size, scores_bs.shape[1] assert pr_err.train_precisions.shape == exp_shape assert pr_err.train_recalls.shape == exp_shape assert pr_err.train_conf_mats.shape == ( pr_err.thresholds.size, scores_bs.shape[1], 4 ) exp_cov_mat_shape = pr_err.thresholds.size, 4 assert pr_err.train_cov_mats.shape == exp_cov_mat_shape assert pr_err.train_cov_mats.shape == exp_cov_mat_shape assert pr_err.total_cov_mats.shape == exp_cov_mat_shape # reference sets are computed with threshold 0.4999443530277085 which # corresponds to idx: 418 ref_set_test = [0.00310889, 0.00112212, 0.00112212, 0.00258438] ref_set_train = [0.00142558, -0.00041831, -0.00041831, 0.00189029] assert np.allclose(pr_err.cov_mats[418].flatten(), ref_set_test, rtol=5e3) assert np.allclose(pr_err.train_cov_mats[418].flatten(), ref_set_train, rtol=5e3)

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py

Python

functional_tests/sample/test_list.py

SCiO-systems/qcat

8c2b8e07650bc2049420fa6de758fba7e50c2f28

[ "Apache-2.0" ]

null

functional_tests/sample/test_list.py

SCiO-systems/qcat

8c2b8e07650bc2049420fa6de758fba7e50c2f28

[ "Apache-2.0" ]

null

functional_tests/sample/test_list.py

SCiO-systems/qcat

8c2b8e07650bc2049420fa6de758fba7e50c2f28

[ "Apache-2.0" ]

null

import pytest from django.contrib.auth.models import Group from django.urls import reverse from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from unittest.mock import patch from elasticmock import elasticmock from functional_tests.base import FunctionalTest from apps.accounts.models import User from apps.questionnaire.models import Questionnaire from apps.sample.tests.test_views import ( route_home, route_questionnaire_list, route_questionnaire_filter, route_questionnaire_new_step) from apps.search.tests.test_index import create_temp_indices from functional_tests.pages.sample import SampleDetailPage, SampleEditPage, \ SampleStepPage, SampleListPage @elasticmock class ListTest(FunctionalTest): fixtures = [ 'global_key_values', 'flags', 'sample', 'unccd', 'sample_questionnaires_5', 'sample_projects', 'sample_institutions', ] def setUp(self): super(ListTest, self).setUp() self.url_questionnaire_filter_sample = self.live_server_url + reverse( route_questionnaire_filter) + '?type=sample' create_temp_indices([('sample', '2015'), ('unccd', '2015')]) def test_list_is_available(self): # She goes to the list page and sees all 4 questionnaires available. self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # The entries are also ordered and each entry contains Keys 1 and 5 of # the questionnaires. self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 3")]') self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//p[' 'text()="Faz 3"]') link = self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[2]//a[' 'contains(text(), "Foo 4")]') self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[2]//p[' 'text()="Faz 4"]') self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[3]//a[' 'contains(text(), "Foo 2")]') self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[3]//p[' 'text()="Faz 2"]') self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[4]//a[' 'contains(text(), "Foo 1")]') self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[4]//p[' 'text()="Faz 1"]') # Each entry has a placeholder because there is no image for e in list_entries: self.findBy( 'xpath', '//img[contains(@src, "picture.svg")]', base=e) # She clicks a link and sees she is taken to the detail page of the # questionnaire link.click() self.toggle_all_sections() self.checkOnPage('Key 3') # The button to create a summary is on the page. self.findBy('xpath', '//a[@href="{summary_url}"]'.format( summary_url=reverse('questionnaire_summary', args=[4]) )) def test_pagination(self): # Alice goes to the list view self.browser.get(self.url_questionnaire_filter_sample) # She sees 4 entries list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # She does not see the pagination because there are not enough entries self.findByNot('xpath', '//div[contains(@class, "pagination")]') # She adds a limit to the URL and sees it is used to narrow the results self.browser.get(self.url_questionnaire_filter_sample + '&limit=1') list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 3")]') # Now the pagination is visible self.findBy('xpath', '//div[contains(@class, "pagination")]') pagination = self.findManyBy( 'xpath', '//ul[contains(@class, "pagination")]/li') self.assertEqual(len(pagination), 6) # She goes to the next page self.findBy('xpath', '//li[@class="arrow"]/a').click() WebDriverWait(self.browser, 10).until( EC.invisibility_of_element_located( (By.CLASS_NAME, "loading-indicator"))) pagination = self.findManyBy( 'xpath', '//ul[contains(@class, "pagination")]/li') self.assertEqual(len(pagination), 6) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 4")]') # She adds a filter self.add_advanced_filter('qg_11__key_14', 'value_14_3') # She sees that the list was filtered and that she is back on the # first page list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 3")]') pagination = self.findManyBy( 'xpath', '//ul[contains(@class, "pagination")]/li') self.assertEqual(len(pagination), 4) # She goes to the next page and sees the filter persists self.findBy('xpath', '//li[@class="arrow"]/a').click() WebDriverWait(self.browser, 10).until( EC.invisibility_of_element_located( (By.CLASS_NAME, "loading-indicator"))) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 4")]') pagination = self.findManyBy( 'xpath', '//ul[contains(@class, "pagination")]/li') self.assertEqual(len(pagination), 4) url = self.browser.current_url item_1 = self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])').text filter_1 = self.findBy('xpath', '//div[@id="active-filters"]/div').text pagination_1 = self.findBy( 'xpath', '//ul[contains(@class, "pagination")]').text # She opens the current URL directly and sees that she is taken to the # exact same page self.browser.get(url) item_2 = self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])').text filter_2 = self.findBy('xpath', '//div[@id="active-filters"]/div').text pagination_2 = self.findBy( 'xpath', '//ul[contains(@class, "pagination")]').text self.assertEqual(item_1, item_2) self.assertEqual(filter_1, filter_2) self.assertEqual(pagination_1, pagination_2) # She removes the specific filter and is back on the first page with # all results self.remove_filter(0) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 3")]') pagination = self.findManyBy( 'xpath', '//ul[contains(@class, "pagination")]/li') self.assertEqual(len(pagination), 6) # She adds another filter self.add_advanced_filter('qg_11__key_14', 'value_14_1') list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 4")]') pagination = self.findManyBy( 'xpath', '//ul[contains(@class, "pagination")]/li') self.assertEqual(len(pagination), 4) # She goes to the second page self.findBy('xpath', '//li[@class="arrow"]/a').click() WebDriverWait(self.browser, 10).until( EC.invisibility_of_element_located( (By.CLASS_NAME, "loading-indicator"))) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 1")]') @patch('apps.questionnaire.views.get_configuration_index_filter') def test_list_with_foreign_configuration(self, mock_config_index_filter): mock_config_index_filter.return_value = ['*'] # Alice goes to the list and sees that there are 5 questionnaires # available (one in UNCCD config) self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 5) expected_list_order = [ { 'name': 'Foo 3', 'description': 'Faz 3', }, { 'name': 'UNCCD practice 1', 'description': 'This is the description of the first UNCCD practice.', }, { 'name': 'Foo 4', 'description': 'Faz 4', }, { 'name': 'Foo 2', 'description': 'Faz 2', }, { 'name': 'Foo 1', 'description': 'Faz 1', }, ] self.check_list_results(expected_list_order) def test_list_database_es(self): # She goes to the WOCAT list and sees the list (retrieved from # elasticsearch) also contains metadata information and is # practically identical with the one on the landing page self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) entry_xpath = '//article[contains(@class, "tech-item")][2]' creation = self.findBy( 'xpath', '{}//time'.format(entry_xpath)) self.assertEqual(creation.text, '02/13/2014 5:08 p.m.') compiler = self.findBy( 'xpath', '{}//li[contains(text(), "Compiler")]'.format( entry_xpath)) self.assertIn('Foo Bar', compiler.text) # She also sees that the second entry has one compiler and one editor # but only the compiler is shown entry_xpath = '//article[contains(@class, "tech-item")][1]' compiler = self.findBy( 'xpath', '{}//li[contains(text(), "Compiler")]'.format( entry_xpath)) self.assertIn('Foo Bar', compiler.text) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 3")]').click() info = self.findBy('xpath', '//ul[@class="tech-infos"]') self.assertIn('Foo Bar', info.text) self.assertIn('Faz Taz', info.text) def test_filter_checkbox(self): # Alice goes to the list view self.browser.get(self.url_questionnaire_filter_sample) # She sees there are 4 Questionnaires in the list list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # The number of Questionnaires is also indicated in the title count = self.findBy( 'xpath', '//h2/span[@id="questionnaire-count"]') self.assertEqual(count.text, '4') # There is only one active filter set active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 1) self.assertEqual(active_filters[0].text, 'SLM Data: sample') # She filters by some value self.add_advanced_filter('qg_11__key_14', 'value_14_2') list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 2")]') # The number of Questionnaires in the title is updated count = self.findBy( 'xpath', '//h2/span[@id="questionnaire-count"]') self.assertEqual(count.text, '1') # The filter was added to the list of active filters active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Key 14: Value 14_2') # She unchecks the checkbox and updates the filter self.toggle_selected_advanced_filters(display=True) self.findBy('xpath', '//input[@name="filter-value-select" and ' '@value="value_14_2" and @checked="checked"]', wait=True).click() self.apply_filter() list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 1) self.assertEqual(active_filters[0].text, 'SLM Data: sample') # She selects the first checkbox and updates the filter self.add_advanced_filter('qg_11__key_14', 'value_14_1') expected_list = [ { 'title': 'Foo 4' }, { 'title': 'Foo 1' } ] self.check_list_results(expected_list) # The number of Questionnaires in the title is updated count = self.findBy( 'xpath', '//h2/span[@id="questionnaire-count"]') self.assertEqual(count.text, '2') # The filter was added to the list of active filters active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Key 14: Value 14_1') # She also selects value 3 and updates the filter self.toggle_selected_advanced_filters(display=True) self.findBy('xpath', '//input[@name="filter-value-select" and ' '@value="value_14_3"]', wait=True).click() self.apply_filter() WebDriverWait(self.browser, 10).until( EC.invisibility_of_element_located( (By.CLASS_NAME, "loading-indicator"))) # The filters are joined by OR, therefore there are now more results expected_list = [ { 'title': 'Foo 3' }, { 'title': 'Foo 4' }, { 'title': 'Foo 1' } ] self.check_list_results(expected_list) # The active filter updated in the list of active filters active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Key 14: Value 14_1 / Value 14_3') self.remove_filter(0) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # There is no active filter set active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 1) self.assertEqual(active_filters[0].text, 'SLM Data: sample') # She adds a first filter again self.add_advanced_filter('qg_11__key_14', 'value_14_3') # There is one active filter set active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Key 14: Value 14_3') # She removes the first filter and adds another filter instead self.toggle_selected_advanced_filters(display=True) self.findBy('xpath', '//input[@name="filter-value-select" and ' '@value="value_14_2"]', wait=True).click() self.findBy('xpath', '//input[@name="filter-value-select" and ' '@value="value_14_3"]').click() self.apply_filter() # Again, there is one active filter set active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Key 14: Value 14_2') # She reloads the same page and sees the correct checkbox was selected self.browser.get(self.browser.current_url) self.toggle_selected_advanced_filters(display=True) self.findBy('xpath', '//input[@name="filter-value-select" and ' '@value="value_14_2" and @checked="checked"]', wait=True).click() # def test_filter_flags(self): # # # Alice goes to the list view # self.browser.get(self.live_server_url + reverse( # route_questionnaire_list)) # # # She sees there are 4 Questionnaires in the list # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 4) # # # There is no active filter set # active_filter_panel = self.findBy( # 'xpath', '//div[@id="active-filters"]/div') # self.assertFalse(active_filter_panel.is_displayed()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 0) # # # She sees a link for advanced filtering which opens the filter # # panel # filter_panel = self.findBy('id', 'search-advanced-options') # self.assertFalse(filter_panel.is_displayed()) # self.findBy('link_text', 'Advanced filter').click() # self.assertTrue(filter_panel.is_displayed()) # # # She expands the flag section # self.findBy('id', 'filter-flags-heading').click() # # # She sees a checkbox to filter by flag # WebDriverWait(self.browser, 10).until( # EC.visibility_of_element_located( # (By.ID, "flag_unccd_bp"))) # # url = self.browser.current_url # # She submits the filter and sees the flag values were not submitted # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # self.assertEqual(self.browser.current_url, '{}?'.format(url)) # # # She clicks the UNCCD flag checkbox # flag_cb = self.findBy('id', 'flag_unccd_bp') # flag_cb.click() # # # She submits the filter # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # # # She sees that the filter was submitted and the results are filtered. # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 1) # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' # 'contains(text(), "Foo 4")]') # # # The filter is in the list of active filters # active_filter_panel = self.findBy( # 'xpath', '//div[@id="active-filters"]/div') # self.assertTrue(active_filter_panel.is_displayed()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 1) # filter_1 = self.findBy('xpath', '//div[@id="active-filters"]//li[1]') # self.assertEqual(filter_1.text, 'UNCCD Best Practice') # # # The checkbox is checked # self.assertTrue(flag_cb.is_selected()) # # # She clears the filter # self.findBy('xpath', '(//a[@class="remove-filter"])[1]').click() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # # # She sees the active filter is gone, checkbox is not checked and the # # results are all there again # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 4) # self.assertFalse(flag_cb.is_selected()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 0) # # # She applies the filter once again # flag_cb.click() # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 1) # # # She reloads the page # url = self.browser.current_url # self.browser.get(url) # # # She sees that the results are correctly filtered # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 1) # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' # 'contains(text(), "Foo 4")]') # # # The filter is in the list of active filters # active_filter_panel = self.findBy( # 'xpath', '//div[@id="active-filters"]/div') # self.assertTrue(active_filter_panel.is_displayed()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 1) # filter_1 = self.findBy('xpath', '//div[@id="active-filters"]//li[1]') # self.assertEqual(filter_1.text, 'UNCCD Best Practice') # # # The checkbox is checked # flag_cb = self.findBy('id', 'flag_unccd_bp') # self.assertTrue(flag_cb.is_selected()) # # # She clicks "filter" again and sees the filter is not added twice. # url = self.browser.current_url # self.findBy('link_text', 'Advanced filter').click() # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # self.assertEqual(self.browser.current_url, url) # def test_filter_dates(self): # # # Alice goes to the list view # self.browser.get(self.live_server_url + reverse( # route_questionnaire_list)) # # # She sees there are 4 Questionnaires in the list # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 4) # # # There is no active filter set # active_filter_panel = self.findBy( # 'xpath', '//div[@id="active-filters"]/div') # self.assertFalse(active_filter_panel.is_displayed()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 0) # # # She sees a link for advanced filtering which opens the filter # # panel # filter_panel = self.findBy('id', 'search-advanced-options') # self.assertFalse(filter_panel.is_displayed()) # self.findBy('link_text', 'Advanced filter').click() # self.assertTrue(filter_panel.is_displayed()) # # # She opens the date filter section # self.findBy('id', 'filter-dates-heading').click() # # WebDriverWait(self.browser, 10).until( # EC.visibility_of_element_located( # (By.CLASS_NAME, "filter-created"))) # # # She sees a slider to filter by creation date # leftLabel = self.findBy( # 'xpath', '//span[contains(@class, "filter-created") and ' # 'contains(@class, "leftLabel")]') # self.assertEqual(leftLabel.text, '2000') # rightLabel = self.findBy( # 'xpath', '//span[contains(@class, "filter-created") and ' # 'contains(@class, "rightLabel")]') # self.assertEqual(rightLabel.text, '2016') # # url = self.browser.current_url # # # She submits the filter and sees the slider values were not submitted # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # self.assertEqual(self.browser.current_url, '{}?'.format(url)) # # # She "changes" the slider # created_slider_min = self.findBy( # 'xpath', '//input[contains(@class, "filter-created") and ' # 'contains(@class, "min")]') # self.changeHiddenInput(created_slider_min, '2014') # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # # # She sees that the filter was submitted in the url and the results # # are filtered # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 1) # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' # 'contains(text(), "Foo 4")]') # # # The filter was added to the list of active filters # active_filter_panel = self.findBy( # 'xpath', '//div[@id="active-filters"]/div') # self.assertTrue(active_filter_panel.is_displayed()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 1) # filter_1 = self.findBy('xpath', '//div[@id="active-filters"]//li[1]') # self.assertEqual(filter_1.text, 'Created: 2014 - 2016') # # # She also sets a filter for the updated year # updated_slider_max = self.findBy( # 'xpath', '//input[contains(@class, "filter-updated") and ' # 'contains(@class, "max")]') # self.changeHiddenInput(updated_slider_max, '2012') # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # # # As the filters are joined by OR, there are now more results # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 3) # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' # 'contains(text(), "Foo 4")]') # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[2]//a[' # 'contains(text(), "Foo 2")]') # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[3]//a[' # 'contains(text(), "Foo 1")]') # # filter_1 = self.findBy('xpath', '//div[@id="active-filters"]//li[1]') # self.assertEqual(filter_1.text, 'Created: 2014 - 2016') # filter_2 = self.findBy('xpath', '//div[@id="active-filters"]//li[2]') # self.assertEqual(filter_2.text, 'Updated: 2000 - 2012') # # # She removes the first filter (creation date), 2 entries show up # self.findBy('xpath', '(//a[@class="remove-filter"])[1]').click() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 2) # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' # 'contains(text(), "Foo 2")]') # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[2]//a[' # 'contains(text(), "Foo 1")]') # # # She hits the button to remove all filters # self.findBy('id', 'filter-reset').click() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # # # She sees there are 4 Questionnaires in the list # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 4) # # # There is no active filter set # active_filter_panel = self.findBy( # 'xpath', '//div[@id="active-filters"]/div') # self.assertFalse(active_filter_panel.is_displayed()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 0) # # # She sets a filter again and reloads the page # created_slider_min = self.findBy( # 'xpath', '//input[contains(@class, "filter-created") and ' # 'contains(@class, "min")]') # self.changeHiddenInput(created_slider_min, '2012') # created_slider_max = self.findBy( # 'xpath', '//input[contains(@class, "filter-created") and ' # 'contains(@class, "max")]') # self.changeHiddenInput(created_slider_max, '2013') # # created_left_handle = self.findBy( # 'xpath', '//div[contains(@class, "leftGrip") and contains(@class, ' # '"filter-created")]') # self.assertEqual( # created_left_handle.get_attribute('style'), 'left: 0px;') # # self.apply_filter() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # url = self.browser.current_url # self.browser.get(url) # # self.findBy('link_text', 'Advanced filter').click() # self.findBy('id', 'filter-dates-heading').click() # WebDriverWait(self.browser, 10).until( # EC.visibility_of_element_located( # (By.CLASS_NAME, "filter-created"))) # # # She sees the filter is set # list_entries = self.findManyBy( # 'xpath', '//article[contains(@class, "tech-item")]') # self.assertEqual(len(list_entries), 2) # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' # 'contains(text(), "Foo 3")]') # self.findBy( # 'xpath', '(//article[contains(@class, "tech-item")])[2]//a[' # 'contains(text(), "Foo 2")]') # # # The filter was added to the list of active filters # active_filter_panel = self.findBy( # 'xpath', '//div[@id="active-filters"]/div') # self.assertTrue(active_filter_panel.is_displayed()) # active_filters = self.findManyBy( # 'xpath', '//div[@id="active-filters"]//li') # self.assertEqual(len(active_filters), 1) # filter_1 = self.findBy('xpath', '//div[@id="active-filters"]//li[1]') # self.assertEqual(filter_1.text, 'Created: 2012 - 2013') # # # She sees the slider is set to match the current filter # created_left_handle = self.findBy( # 'xpath', '//div[contains(@class, "leftGrip") and contains(@class, ' # '"filter-created")]') # self.assertNotEqual( # created_left_handle.get_attribute('style'), 'left: 0px;') # # # She removes the filter and sees that the slider position has # # been reset. # self.findBy('xpath', '(//a[@class="remove-filter"])[1]').click() # WebDriverWait(self.browser, 10).until( # EC.invisibility_of_element_located( # (By.CLASS_NAME, "loading-indicator"))) # time.sleep(1) # self.assertEqual( # created_left_handle.get_attribute('style'), 'left: 0px;') # # # She clicks "filter" again (slider not being set) and sees that # # nothing is happening. # # She submits the filter and sees the slider values were not submitted # self.apply_filter() # self.assertEqual( # self.browser.current_url, '{}?'.format( # self.live_server_url + reverse(route_questionnaire_list))) # time.sleep(0.5) def test_filter_project(self): # Alice goes to the list view self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) # She sees there are 4 Questionnaires in the list list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # There is no active filter set active_filter_panel = self.findBy( 'xpath', '//div[@id="active-filters"]/div') self.assertFalse(active_filter_panel.is_displayed()) active_filters = self.findManyBy( 'xpath', '//div[@id="active-filters"]//li') self.assertEqual(len(active_filters), 0) # She sees a datalist to filter by project project_filter = self.findBy( 'xpath', '//div/label[@for="filter-project"]/../div' ) url = self.browser.current_url # She submits the filter and sees no values were submitted self.apply_filter() self.assertEqual(self.browser.current_url, '{}?type=sample'.format(url)) # She enters a project project_filter = self.findBy( 'xpath', '//div/label[@for="filter-project"]/../div' ) project_filter.click() project_filter.find_element_by_xpath( '//ul[@class="chosen-results"]/li[text()="The first Project (TFP)"]' ).click() self.apply_filter() # She sees that the filter was submitted in the url and the results # are filtered list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 3")]') # The filter was added to the list of active filters active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertIn('The first Project (TFP)', active_filters[1].text) # She hits the button to remove all filters self.remove_filter(index=None) # She sees there are 4 Questionnaires in the list list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # There is only one active filter active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 0) # She sets a filter again and reloads the page project_filter = self.findBy( 'xpath', '//div/label[@for="filter-project"]/../div' ) project_filter.click() project_filter.find_element_by_xpath( '//ul[@class="chosen-results"]/li[text()="The first Project (TFP)"]' ).click() self.apply_filter() url = self.browser.current_url self.browser.get(url) # She sees the filter is set list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//a[' 'contains(text(), "Foo 3")]') # The filter was added to the list of active filters active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertIn('The first Project (TFP)', active_filters[1].text) # She sees the text in the input field matches the project project_filter = self.findBy( 'xpath', '//div/label[@for="filter-project"]/../div/a/span' ) self.assertEqual( project_filter.text, 'The first Project (TFP)' ) # She removes the filter and sees that the input field has been # reset self.remove_filter(index=None) project_filter = self.findBy( 'xpath', '//div/label[@for="filter-project"]/../div/a/span' ) self.assertEqual(project_filter.text, 'Select or type a project name') # She clicks "filter" again and sees that nothing is happening. # She submits the filter and sees no values were submitted self.apply_filter() self.assertEqual( self.browser.current_url, '{}?type=sample'.format( self.live_server_url + reverse(route_questionnaire_list))) def test_filter_search(self): search_term = '4' # Alice goes to the list view self.browser.get(self.url_questionnaire_filter_sample) # She sees there are 4 Questionnaires in the list list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # There is only the type filter active active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 1) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.add_advanced_filter('qg_11__key_14', 'value_14_1') # She sees the results are filtered expected_list = [ { 'title': 'Foo 4' }, { 'title': 'Foo 1' } ] self.check_list_results(expected_list) # She also searches for a word self.findBy('xpath', '//input[@type="search"]').send_keys(search_term) self.apply_filter() # She sees that both filters are applied, they are joined by AND expected_list = [ { 'title': 'Foo 4' } ] self.check_list_results(expected_list) # The filter was added to the list of active filters active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 3) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Key 14: Value 14_1') self.assertEqual(active_filters[2].text, f'Search Terms: {search_term}') # She removes one filter self.remove_filter(index=0) # The filters are updated active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, f'Search Terms: {search_term}') # The results are filtered list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) # She goes to the home page self.browser.get(self.live_server_url + reverse(route_home)) # She enters a search term there self.findBy('xpath', '//input[@type="search"]').send_keys(search_term) self.set_input_value('search-type', 'sample') self.findBy('id', 'submit-search').click() # She sees she is taken to the list view with the filter set active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[1].text, 'SLM Data: sample') self.assertEqual(active_filters[0].text, f'Search Terms: {search_term}') # The results are filtered list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) # She goes to the advanced filter and sees the filter is still active # there self.open_advanced_filter('sample') active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, f'Search Terms: {search_term}') list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 1) # She adds a second filter self.add_advanced_filter('qg_11__key_14', 'value_14_1') # The results are filtered expected_list = [ { 'title': 'Foo 4' } ] self.check_list_results(expected_list) # The filter was added to the list of active filters active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 3) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Key 14: Value 14_1') self.assertEqual(active_filters[2].text, f'Search Terms: {search_term}') # She removes all filters self.remove_filter(index=None) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # There is only one active filter left active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 1) # The search field is empty search_field = self.findBy('xpath', '//input[@type="search"]') self.assertEqual(search_field.get_attribute('value'), '') # She searches again by keyword, this time entering two words search_field.send_keys(search_term) self.apply_filter() # The filter is set correctly active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, f'Search Terms: {search_term}') # She refreshes the page and sees the text in the search bar did not # change self.browser.get(self.browser.current_url) active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, f'Search Terms: {search_term}') search_field = self.findBy('xpath', '//input[@type="search"]') self.assertEqual(search_field.get_attribute('value'), search_term) # She removes the filter and sees it works. self.remove_filter(index=None) active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 1) search_field = self.findBy('xpath', '//input[@type="search"]') self.assertEqual(search_field.get_attribute('value'), '') # She searches again by keyword, this time entering two words special_chars = ';ö$ ,_%as[df)' search_field.send_keys(special_chars) self.apply_filter() # The filter is set correctly active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual( active_filters[1].text, f'Search Terms: {special_chars}') # She refreshes the page and sees the text in the search bar did not # change self.browser.get(self.browser.current_url) active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual( active_filters[1].text, f'Search Terms: {special_chars}') search_field = self.findBy('xpath', '//input[@type="search"]') self.assertEqual(search_field.get_attribute('value'), special_chars) # She removes the filter and sees it works. self.remove_filter(index=None) active_filters = self.get_active_filters(has_any=True) self.assertEqual(len(active_filters), 1) search_field = self.findBy('xpath', '//input[@type="search"]') self.assertEqual(search_field.get_attribute('value'), '') def test_filter_country(self): # Alice goes to the list view self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) # She sees there are 4 Questionnaires in the list list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # There is no active filter set self.get_active_filters(has_any=False) # She sees a chosen container to filter by country and opens it country_filter = self.findBy( 'xpath', '//div/label[@for="filter-country"]/../div') country_filter.click() url = self.browser.current_url # She submits the filter and sees no values were submitted self.apply_filter() self.assertEqual(self.browser.current_url, '{}?type=sample'.format(url)) # She opens the country filter again and selects the value for # Switzerland country_filter = self.findBy( 'xpath', '//div/label[@for="filter-country"]/../div') country_filter.click() country_filter.find_element_by_xpath( '//ul[@class="chosen-results"]/li[text()="Switzerland"]' ).click() self.apply_filter() # She sees that the filter was submitted in the url and the results # are filtered expected_list = [ { 'title': 'Foo 4' }, { 'title': 'Foo 2' }, { 'title': 'Foo 1' } ] self.check_list_results(expected_list) # The filter was added to the list of active filters active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Country: Switzerland') # She hits the button to remove all filters self.remove_filter(index=None) # She sees there are 4 Questionnaires in the list list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 4) # There is no active filter set self.get_active_filters(has_any=False) # She sets a filter again and reloads the page country_filter = self.findBy( 'xpath', '//div/label[@for="filter-country"]/../div') country_filter.click() country_filter.find_element_by_xpath( '//ul[@class="chosen-results"]/li[text()="Afghanistan"]' ).click() self.apply_filter() url = self.browser.current_url self.browser.get(url) # She sees the filter is set expected_list = [ { 'title': 'Foo 3' } ] self.check_list_results(expected_list) # The filter was added to the list of active filters active_filters = self.get_active_filters() self.assertEqual(len(active_filters), 2) self.assertEqual(active_filters[0].text, 'SLM Data: sample') self.assertEqual(active_filters[1].text, 'Country: Afghanistan') # She sees the text in the input field matches the country selected_country = self.findBy( 'class_name', 'chosen-single' ).find_element_by_tag_name('span') self.assertEqual( selected_country.text, 'Afghanistan' ) # She removes the filter and sees that the input field has been # reset self.remove_filter(index=None) selected_country = self.findBy( 'class_name', 'chosen-single' ).find_element_by_tag_name('span') self.assertEqual(selected_country.text, 'Select or type a country name') # She clicks "filter" again and sees that nothing is happening. # She submits the filter and sees no values were submitted self.apply_filter() self.assertEqual( self.browser.current_url, '{}?type=sample'.format( self.live_server_url + reverse(route_questionnaire_list))) @elasticmock class ListTestLinks(FunctionalTest): fixtures = [ 'groups_permissions', 'global_key_values', 'sample', 'samplemulti', 'sample_samplemulti_questionnaires', ] """ 1 configurations: sample code: sample_1 key_1 (en): This is the first key links: 3 2 configurations: sample code: sample_2 key_1 (en): Foo links: - 3 configurations: samplemulti code: samplemulti_1 key_1 (en): This is key 1a links: 1 4 configurations: samplemulti code: samplemulti_2 key_1 (en): This is key 1b links: - """ def setUp(self): super(ListTestLinks, self).setUp() create_temp_indices([('sample', '2015'), ('samplemulti', '2015')]) def test_list_displays_links_user_questionnaires(self): user_alice = User.objects.get(pk=101) # Alice logs in self.doLogin(user=user_alice) # She enters a new questionnaire with some basic data self.browser.get(self.live_server_url + reverse( route_questionnaire_new_step, kwargs={'identifier': 'new', 'step': 'cat_1'})) self.findBy('name', 'qg_1-0-original_key_1').send_keys('Foo') self.findBy('name', 'qg_1-0-original_key_3').send_keys('Bar') self.submit_form_step() # She also links another questionnaire self.wait_for( 'xpath', '//a[contains(@href, "/edit/") and contains(@href, "cat_5")]' ) self.click_edit_section('cat_5') self.findBy( 'xpath', '//input[contains(@class, "link-search-field")]' '[1]').send_keys('key') self.wait_for('xpath', '//li[@class="ui-menu-item"]') self.findBy( 'xpath', '//li[@class="ui-menu-item"]//strong[text()="This is key 1a"' ']').click() self.submit_form_step() # She goes to the page where she can see her own questionnaires self.clickUserMenu(user_alice) self.findBy( 'xpath', '//li[contains(@class, "has-dropdown")]/ul/li/a[' 'contains(@href, "accounts/questionnaires")]').click() # She sees the newly created questionnaire and that it contains only one # link self.findBy('xpath', '(//article[contains(@class, "tech-item")])[1]//a' '[contains(text(), "Foo")]') link_count = self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//ul[' 'contains(@class, "tech-attached")]/li/a') self.assertEqual(link_count.text, '') # No number def test_list_displays_links_search(self): # Alice logs in and creates a new questionnaire with some basic data and # a linked questionnaire user_alice = User.objects.get(pk=101) user_alice.groups = [Group.objects.get(pk=3), Group.objects.get(pk=4)] self.doLogin(user=user_alice) # She submits and publishes the questionnaire self.browser.get(self.live_server_url + reverse( route_questionnaire_new_step, kwargs={'identifier': 'new', 'step': 'cat_1'})) self.findBy('name', 'qg_1-0-original_key_1').send_keys('Foo') self.findBy('name', 'qg_1-0-original_key_3').send_keys('Bar') self.submit_form_step() btn = '//a[contains(@href, "/edit/") and contains(@href, "cat_5")]' self.wait_for('xpath', btn) self.click_edit_section('cat_5') self.findBy( 'xpath', '//input[contains(@class, "link-search-field")]' '[1]').send_keys('key') self.wait_for('xpath', '//li[@class="ui-menu-item"]') self.findBy( 'xpath', '//li[@class="ui-menu-item"]//strong[text()="This is key 1a"' ']').click() self.submit_form_step() self.review_action('submit') self.review_action('review') self.review_action('publish') # She goes to the SAMPLE search page and sees the questionnaires. These # are: 3 (newly created, with link), 2 and 1 (with link) self.browser.get( self.live_server_url + reverse(route_questionnaire_list)) list_entries = self.findManyBy( 'xpath', '//article[contains(@class, "tech-item")]') self.assertEqual(len(list_entries), 3) # She sees that the first one contains a link to SAMPLEMULTI. The link # count is only one! link_count_1 = self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[1]//ul[' 'contains(@class, "tech-attached")]/li/a') self.assertEqual(link_count_1.text, '') # Same for the third entry of the list link_count_3 = self.findBy( 'xpath', '(//article[contains(@class, "tech-item")])[3]//ul[' 'contains(@class, "tech-attached")]/li/a') self.assertEqual(link_count_3.text, '') @elasticmock class ListTestStatus(FunctionalTest): fixtures = [ 'groups_permissions', 'global_key_values', 'sample', 'sample_questionnaire_status', ] def setUp(self): super(ListTestStatus, self).setUp() create_temp_indices([('sample', '2015')]) # def test_unknown_name(self): # user = create_new_user() # user.groups = [ # Group.objects.get(pk=3), Group.objects.get(pk=4)] # user.save() # # # Alice logs in # self.doLogin(user=user) # # # She creates an empty questionnaire # self.browser.get(self.live_server_url + reverse( # route_questionnaire_new_step, # kwargs={'identifier': 'new', 'step': 'cat_0'})) # self.submit_form_step() # # url = self.browser.current_url # # # She goes to "my data" and sees it is listed there, no name indicated # self.browser.get(self.live_server_url + reverse( # accounts_route_questionnaires, kwargs={'user_id': user.id})) # # self.findByNot('xpath', '//a[contains(text(), "{}")]'.format( # "{'en': 'Unknown name'}")) # # # She publishes the questionnaire # self.browser.get(url) # self.wait_for('class_name', 'review-panel-content') # # self.review_action('submit') # self.review_action('review') # self.review_action('publish') # # # She goes to the list and sees the data is listed there, "unknown name" # # correctly displayed # self.browser.get(self.live_server_url + reverse( # route_questionnaire_list)) # # self.findByNot('xpath', '//a[contains(text(), "{}")]'.format( # "{'en': 'Unknown name'}")) def test_list_status_public(self): # She goes to the list view and sees the same questionnaires self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) expected_results = [ { 'title': 'Foo 5', 'status': 'public' }, { 'title': 'Foo 3', 'status': 'public' }, ] self.check_list_results(expected_results) def test_list_status_logged_in(self): # Alice logs in as user 1. user = User.objects.get(pk=101) self.doLogin(user=user) # Design change: Home also shows only public questionnaires # She goes to the list view and sees only the public # questionnaires self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) expected_results = [ { 'title': 'Foo 5', 'status': 'public' }, { 'title': 'Foo 3', 'status': 'public' }, ] self.check_list_results(expected_results) # She logs in as user 2 user = User.objects.get(pk=102) self.doLogin(user=user) # Design change: Home also shows only public questionnaires # She goes to the list view and sees only the public # questionnaires self.browser.get(self.live_server_url + reverse( route_questionnaire_list)) self.check_list_results(expected_results) def test_list_shows_only_one_public(self): code = 'sample_3' old_key_1 = 'Foo 3' new_key_1 = 'asdf' old_questionnaire_count = Questionnaire.objects.count() # Alice logs in and goes to the detail page of a "public" Questionnaire user = User.objects.get(pk=101) detail_page = SampleDetailPage(self) detail_page.route_kwargs = {'identifier': code} detail_page.open(login=True, user=user) assert code in self.browser.current_url assert detail_page.has_text(old_key_1) assert not detail_page.has_text(new_key_1) # She edits the Questionnaire and sees that the URL contains the # code of the Questionnaire detail_page.create_new_version() edit_page = SampleEditPage(self) edit_page.click_edit_category('cat_1') assert code in self.browser.current_url step_page = SampleStepPage(self) step_page.enter_text( step_page.LOC_FORM_INPUT_KEY_1, new_key_1, clear=True) step_page.submit_step() # She sees that the value of Key 1 was updated assert not edit_page.has_text(old_key_1) assert edit_page.has_text(new_key_1) # Also there was an additional version created in the database assert Questionnaire.objects.count() == old_questionnaire_count + 1 # The newly created version has the same code assert Questionnaire.objects.filter(code=code).count() == 2 # She goes to the list view and sees only two entries: Foo 5 and Foo 3 list_page = SampleListPage(self) list_page.open() list_results = [ { 'title': 'Foo 5' }, { 'title': old_key_1, } ] list_page.check_list_results(list_results) # She goes to the detail page of the questionnaire and sees the # draft version. list_page.click_list_entry(index=1) detail_page.expand_details() assert not detail_page.has_text(old_key_1) assert detail_page.has_text(new_key_1) # She submits the questionnaire detail_page.submit_questionnaire() # In the DB, there is one active version db_q = Questionnaire.objects.filter(code=code, status=4) assert db_q.count() == 1 db_q_id = db_q[0].id # Bob (the moderator) logs in # The moderator publishes the questionnaire user_moderator = User.objects.get(pk=105) detail_page.open(login=True, user=user_moderator) detail_page.review_questionnaire() detail_page.publish_questionnaire() # In the DB, there is still only one active version but it has a # different ID now. db_q = Questionnaire.objects.filter(code=code, status=4) assert db_q.count() == 1 assert db_q_id != db_q[0].id # He goes to the list view and sees only two entries: asdf and Foo 6. list_page = SampleListPage(self) list_page.open() list_results = [ { 'title': 'Foo 5' }, { 'title': new_key_1 }, ] list_page.check_list_results(list_results)

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ba094e3ac75c7e7b5cefcc459f76fb2abaac0cca

2,568

py

Python

epytope/Data/pssms/smmpmbec/mat/B_40_01_10.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/smmpmbec/mat/B_40_01_10.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/smmpmbec/mat/B_40_01_10.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

B_40_01_10 = {0: {'A': -0.23, 'C': 0.103, 'E': 0.416, 'D': 0.968, 'G': -0.421, 'F': -0.63, 'I': -0.342, 'H': -0.095, 'K': -0.066, 'M': -0.447, 'L': 0.081, 'N': 0.265, 'Q': 0.026, 'P': 1.352, 'S': -0.141, 'R': -0.049, 'T': -0.097, 'W': -0.163, 'V': -0.19, 'Y': -0.339}, 1: {'A': 0.398, 'C': -0.468, 'E': -1.235, 'D': 0.014, 'G': -0.084, 'F': -0.712, 'I': 0.499, 'H': -0.251, 'K': 0.529, 'M': 0.349, 'L': 0.584, 'N': -0.057, 'Q': 0.14, 'P': 0.521, 'S': -0.123, 'R': 0.213, 'T': 0.009, 'W': -0.538, 'V': 0.589, 'Y': -0.378}, 2: {'A': 0.151, 'C': 0.444, 'E': 0.022, 'D': 0.359, 'G': 0.371, 'F': -0.584, 'I': -0.486, 'H': -0.829, 'K': 0.771, 'M': -0.299, 'L': 0.222, 'N': -0.217, 'Q': 0.265, 'P': 0.207, 'S': 0.106, 'R': -0.054, 'T': -0.063, 'W': -0.215, 'V': -0.093, 'Y': -0.078}, 3: {'A': -0.03, 'C': -0.018, 'E': -0.012, 'D': -0.016, 'G': 0.016, 'F': 0.005, 'I': 0.024, 'H': -0.009, 'K': 0.017, 'M': 0.015, 'L': 0.021, 'N': -0.002, 'Q': 0.007, 'P': -0.03, 'S': 0.013, 'R': -0.008, 'T': 0.001, 'W': -0.003, 'V': 0.003, 'Y': 0.005}, 4: {'A': -0.036, 'C': -0.009, 'E': -0.001, 'D': 0.084, 'G': -0.041, 'F': -0.176, 'I': -0.105, 'H': -0.002, 'K': 0.028, 'M': -0.077, 'L': -0.033, 'N': -0.024, 'Q': 0.054, 'P': 0.27, 'S': -0.039, 'R': 0.051, 'T': 0.029, 'W': 0.01, 'V': 0.022, 'Y': -0.005}, 5: {'A': -0.119, 'C': -0.051, 'E': 0.107, 'D': 0.091, 'G': -0.045, 'F': -0.1, 'I': 0.106, 'H': -0.01, 'K': -0.102, 'M': 0.136, 'L': 0.044, 'N': 0.131, 'Q': 0.257, 'P': 0.02, 'S': -0.152, 'R': -0.156, 'T': -0.083, 'W': 0.025, 'V': -0.084, 'Y': -0.015}, 6: {'A': 0.046, 'C': -0.025, 'E': 0.009, 'D': 0.002, 'G': -0.014, 'F': -0.096, 'I': -0.033, 'H': 0.011, 'K': 0.097, 'M': -0.036, 'L': -0.038, 'N': -0.051, 'Q': 0.015, 'P': 0.031, 'S': 0.031, 'R': 0.111, 'T': 0.033, 'W': -0.059, 'V': 0.005, 'Y': -0.039}, 7: {'A': -0.027, 'C': 0.008, 'E': -0.011, 'D': -0.028, 'G': 0.059, 'F': 0.008, 'I': -0.122, 'H': 0.101, 'K': 0.046, 'M': -0.0, 'L': -0.065, 'N': 0.023, 'Q': 0.058, 'P': -0.044, 'S': -0.013, 'R': 0.138, 'T': -0.049, 'W': 0.005, 'V': -0.174, 'Y': 0.088}, 8: {'A': -0.152, 'C': 0.025, 'E': -0.062, 'D': 0.059, 'G': -0.034, 'F': 0.196, 'I': -0.274, 'H': 0.11, 'K': -0.041, 'M': 0.067, 'L': -0.01, 'N': 0.096, 'Q': -0.001, 'P': -0.134, 'S': -0.095, 'R': 0.035, 'T': -0.046, 'W': 0.127, 'V': -0.081, 'Y': 0.215}, 9: {'A': 0.292, 'C': 0.207, 'E': -0.16, 'D': 0.128, 'G': 0.447, 'F': -0.183, 'I': -0.427, 'H': 0.192, 'K': 0.24, 'M': -0.641, 'L': -1.284, 'N': -0.105, 'Q': -0.219, 'P': 0.192, 'S': 0.369, 'R': 0.637, 'T': 0.236, 'W': 0.302, 'V': -0.363, 'Y': 0.14}, -1: {'con': 4.74752}}

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0

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2,568

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null

0

1

0

1

0

null

0

6

e850a643d1dc9057d0e0d544a73d1e3c3bb40f4a

6,591

py

Python

modules/Bak.July2013/XhhC.py

TrentFranks/ssNMR-Topspin-Python

95f99dc66bc665493d81d075088486f55ccae964

[ "MIT" ]

3

2016-08-24T12:01:15.000Z

2021-12-02T21:45:34.000Z

modules/Bak.July2013/XhhC.py

TrentFranks/ssNMR-Topspin-Python

95f99dc66bc665493d81d075088486f55ccae964

[ "MIT" ]

null

modules/Bak.July2013/XhhC.py

TrentFranks/ssNMR-Topspin-Python

95f99dc66bc665493d81d075088486f55ccae964

[ "MIT" ]

null

""" Modules to Set default parameters: W.T. Franks FMP Berlin """ import de.bruker.nmr.mfw.root as root import math import TopCmds import IntShape import Setup p90H=2.5 ampH=4.0 p90C=3.0 ampC=0.0 p90N=5.0 ampN=-2.0 MAS =10000.0 def CH(units): #48,49 p90H=float(TopCmds.GETPAR("P 3")) ampH=float(TopCmds.GETPAR("PLdB 2")) p90C=float(TopCmds.GETPAR("P 1")) ampC=float(TopCmds.GETPAR("PLdB 1")) MAS =float(TopCmds.GETPAR("CNST 31")) SPH =TopCmds.GETPAR2("SPNAM 48") SPH0=TopCmds.GETPAR2("SPNAM 40") CNCT =float(TopCmds.GETPAR("P 48")) CNCT0=float(TopCmds.GETPAR("P 15")) MaxB1H=1000000./4./p90H MaxB1C=1000000./4./p90C if CNCT <= 1.00 : CNCT = CNCT0 if SPH == "gauss" or SPH == "None" or SPH == "" : SPH = SPH0 TopCmds.PUTPAR("SPNAM 48",SPH) TopCmds.XCMD("spnam48") SPH=(TopCmds.GETPAR2("SPNAM 48")) SPH.join() Hav = IntShape.Integrate(SPH) Hav0 = IntShape.Integrate(SPH0) Hint = 0.01*((Hav)**2)/Hav0 #TopCmds.MSG("Hint "+str(Hint)) Hamp0=float(TopCmds.GETPAR("SPdB 40")) Camp0=float(TopCmds.GETPAR("SPdB 41")) B1H = MaxB1H*Hint*math.pow(10,(ampH-Hamp0)/20.) B1C = MaxB1C*math.pow(10,(ampC-Camp0)/20.) index = TopCmds.INPUT_DIALOG("C-H CP", "Contact and Ramp", \ ["Proton B1 Field","H Ramp","Carbon B1 Field","Contact Time(P48)"],\ [str('%3.0f' %B1H),SPH,str('%3.0f' %B1C),str(CNCT)],\ ["kHz","","kHz","us"],\ ["1","1","1","1"],\ ["Accept","Close"], ['a','c'], 10) SP=index[1] CNCT=float(index[3]) adjust=20*(math.log10(float(index[0])/MaxB1H)) Hamp1 = ampH-adjust AvgAmp=IntShape.Integrate(index[1])/100. adjust=20*(math.log10(1./AvgAmp)) Hamp = Hamp1-adjust adjust=20*(math.log10(float(index[2])/MaxB1C)) Camp = ampC-adjust if units == "W": Hamp=dBtoW(Hamp) Camp=dBtoW(Camp) value = TopCmds.SELECT("Adjusting the CH CP parameters:",\ "This will set\n 1H power to: " + str('%3.2f' %Hamp)+" "+ units+"\n \ 13C power to: " +str('%3.2f' %Camp) + units,["Update", "Keep Previous"]) if value != 1: TopCmds.PUTPAR("SP"+units+" 48",str('%3.2f' %Hamp)) TopCmds.PUTPAR("SP"+units+" 49",str('%3.2f' %Camp)) TopCmds.PUTPAR("PL"+units+" 48",str('%3.2f' %Hamp)) TopCmds.PUTPAR("PL"+units+" 49",str('%3.2f' %Camp)) TopCmds.PUTPAR("P 48" ,str('%3.2f' %CNCT)) TopCmds.PUTPAR("SPNAM 48",SP) def HC(units): #44,45 p90H=float(TopCmds.GETPAR("P 3")) ampH=float(TopCmds.GETPAR("PLdB 2")) p90C=float(TopCmds.GETPAR("P 1")) ampC=float(TopCmds.GETPAR("PLdB 1")) MAS =float(TopCmds.GETPAR("CNST 31")) SPH =TopCmds.GETPAR2("SPNAM 44") SPH0=TopCmds.GETPAR2("SPNAM 40") CNCT =float(TopCmds.GETPAR("P 44")) CNCT0=float(TopCmds.GETPAR("P 15")) MaxB1H=1000000./4./p90H MaxB1C=1000000./4./p90C if CNCT <= 1.00 : CNCT = CNCT0 if SPH == "gauss" or SPH == "None" or SPH == "" : SPH = SPH0 TopCmds.PUTPAR("SPNAM 44",SPH) TopCmds.XCMD("spnam44") SPH=(TopCmds.GETPAR2("SPNAM 44")) SPH.join() Hav = IntShape.Integrate(SPH) Hav0 = IntShape.Integrate(SPH0) Hint = 0.01*((Hav)**2)/Hav0 #TopCmds.MSG("Hint "+str(Hint)) Hamp0=float(TopCmds.GETPAR("SPdB 40")) Camp0=float(TopCmds.GETPAR("SPdB 41")) B1H = MaxB1H*Hint*math.pow(10,(ampH-Hamp0)/20.) B1C = MaxB1C*math.pow(10,(ampC-Camp0)/20.) index = TopCmds.INPUT_DIALOG("H-C CP", "Contact and Ramp", \ ["Proton B1 Field","H Ramp","Carbon B1 Field","Contact Time(P44)"],\ [str('%3.0f' %B1H),SPH,str('%3.0f' %B1C),str(CNCT)],\ ["kHz","","kHz","us"],\ ["1","1","1","1"],\ ["Accept","Close"], ['a','c'], 10) SP=index[1] CNCT=float(index[3]) adjust=20*(math.log10(float(index[0])/MaxB1H)) Hamp1 = ampH-adjust AvgAmp=IntShape.Integrate(index[1])/100. adjust=20*(math.log10(1./AvgAmp)) Hamp = Hamp1-adjust adjust=20*(math.log10(float(index[2])/MaxB1C)) Camp = ampC-adjust if units == "W": Hamp=Setup.dBtoW(Hamp) Camp=Setup.dBtoW(Camp) value = TopCmds.SELECT("Adjusting the CH CP parameters:",\ "This will set\n 1H power to: " + str('%3.2f' %Hamp)+" "+units+"\n \ 13C power to: " +str('%3.2f' %Camp) + units,["Update", "Keep Previous"]) if value != 1: TopCmds.PUTPAR("SP"+units+" 44",str('%3.2f' %Hamp)) TopCmds.PUTPAR("SP"+units+" 45",str('%3.2f' %Camp)) TopCmds.PUTPAR("PL"+units+" 44",str('%3.2f' %Hamp)) TopCmds.PUTPAR("PL"+units+" 45",str('%3.2f' %Camp)) TopCmds.PUTPAR("P 44" ,str('%3.2f' %CNCT)) TopCmds.PUTPAR("SPNAM 44",SP) def NH(units): #46,47 p90H=float(TopCmds.GETPAR("P 3")) ampH=float(TopCmds.GETPAR("PLdB 2")) p90C=float(TopCmds.GETPAR("P 1")) ampC=float(TopCmds.GETPAR("PLdB 3")) MAS =float(TopCmds.GETPAR("CNST 31")) SPH =TopCmds.GETPAR2("SPNAM 46") SPH0=TopCmds.GETPAR2("SPNAM 40") CNCT =float(TopCmds.GETPAR("P 46")) CNCT0=float(TopCmds.GETPAR("P 15")) MaxB1H=1000000./4./p90H MaxB1C=1000000./4./p90C if CNCT <= 1.00 : CNCT = CNCT0 if SPH == "gauss" or SPH == "None" or SPH == "" : SPH = SPH0 TopCmds.PUTPAR("SPNAM 46",SPH) TopCmds.XCMD("spnam46") SPH=(TopCmds.GETPAR2("SPNAM 46")) SPH.join() Hav = IntShape.Integrate(SPH) Hav0 = IntShape.Integrate(SPH0) Hint = 0.01*((Hav)**2)/Hav0 #TopCmds.MSG("Hint "+str(Hint)) Hamp0=float(TopCmds.GETPAR("SPdB 42")) Camp0=float(TopCmds.GETPAR("SPdB 43")) B1H = MaxB1H*Hint*math.pow(10,(ampH-Hamp0)/20.) B1C = MaxB1C*math.pow(10,(ampC-Camp0)/20.) index = TopCmds.INPUT_DIALOG("N-H CP", "Contact and Ramp", \ ["Proton B1 Field","H Ramp","Nitrogen B1 Field","Contact Time(P46)"],\ [str('%3.0f' %B1H),SPH,str('%3.0f' %B1C),str(CNCT)],\ ["kHz","","kHz","us"],\ ["1","1","1","1"],\ ["Accept","Close"], ['a','c'], 10) SP=index[1] CNCT=float(index[3]) adjust=20*(math.log10(float(index[0])/MaxB1H)) Hamp1 = ampH-adjust AvgAmp=IntShape.Integrate(index[1])/100. adjust=20*(math.log10(1./AvgAmp)) Hamp = Hamp1-adjust adjust=20*(math.log10(float(index[2])/MaxB1C)) Camp = ampC-adjust if units == "W": Hamp=Setup.dBtoW(Hamp) Camp=Setup.dBtoW(Camp) value = TopCmds.SELECT("Adjusting the NH CP parameters:",\ "This will set\n 1H power to: " + str('%3.2f' %Hamp)+ " "+units+"\n \ 15N power to: " +str('%3.2f' %Camp) + units,["Update", "Keep Previous"]) if value != 1: TopCmds.PUTPAR("SP"+units+" 46",str('%3.2f' %Hamp)) TopCmds.PUTPAR("SP"+units+" 47",str('%3.2f' %Camp)) TopCmds.PUTPAR("PL"+units+" 46",str('%3.2f' %Hamp)) TopCmds.PUTPAR("PL"+units+" 47",str('%3.2f' %Camp)) TopCmds.PUTPAR("P 46" ,str('%3.2f' %CNCT)) TopCmds.PUTPAR("SPNAM 44",SP)

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e869f6138f633f7cc9d7d593e0b930adadf64d75

19

py

Python

__init__.py

samesense/hgnc

390a5770487d155420a10f787e4e61f37262b627

[ "MIT" ]

null

__init__.py

samesense/hgnc

390a5770487d155420a10f787e4e61f37262b627

[ "MIT" ]

null

__init__.py

samesense/hgnc

390a5770487d155420a10f787e4e61f37262b627

[ "MIT" ]

null

from hgnc import *

9.5

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6

e880a6a783e54269ab12bc7607ed46fe201c4928

42

py

Python

howfast_apm/__init__.py

HowFast/apm-python

e0ae4f06aecc492e67a153b842250c75641db93d

[ "MIT" ]

3

2019-09-03T03:15:27.000Z

2019-09-06T15:35:00.000Z

howfast_apm/__init__.py

HowFast/apm-python

e0ae4f06aecc492e67a153b842250c75641db93d

[ "MIT" ]

5

2019-09-25T05:08:24.000Z

2020-05-22T23:07:58.000Z

howfast_apm/__init__.py

HowFast/apm-python

e0ae4f06aecc492e67a153b842250c75641db93d

[ "MIT" ]

null

from .flask import HowFastFlaskMiddleware

21

41

0.880952

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6

e8c7c11c115b700e0f8f60435c15662269b5c2d8

49,557

py

Python

ai/message_pb2.py

giongto35/Gowog

f1dee3b51b913f59419600bcf8964c647756562d

[ "MIT" ]

99

2019-01-20T06:59:22.000Z

2022-03-24T18:14:01.000Z

ai/message_pb2.py

giongto35/Gowog

f1dee3b51b913f59419600bcf8964c647756562d

[ "MIT" ]

14

2019-01-19T08:36:33.000Z

2019-10-12T04:43:31.000Z

ai/message_pb2.py

giongto35/Gowog

f1dee3b51b913f59419600bcf8964c647756562d

[ "MIT" ]

22

2019-01-20T07:15:16.000Z

2022-01-01T14:40:05.000Z

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: message.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf.internal import enum_type_wrapper from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='message.proto', package='Message_proto', syntax='proto3', serialized_options=None, serialized_pb=_b('\n\rmessage.proto\x12\rMessage_proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xac\x03\n\x11\x43lientGameMessage\x12\x1d\n\x15input_sequence_number\x18\x01 \x01(\x05\x12\x14\n\x0ctime_elapsed\x18\x02 \x01(\x02\x12\x38\n\x13init_player_payload\x18\x03 \x01(\x0b\x32\x19.Message_proto.InitPlayerH\x00\x12<\n\x15move_position_payload\x18\x04 \x01(\x0b\x32\x1b.Message_proto.MovePositionH\x00\x12-\n\rshoot_payload\x18\x05 \x01(\x0b\x32\x14.Message_proto.ShootH\x00\x12\x36\n\x12\x62uild_wall_payload\x18\x06 \x01(\x0b\x32\x18.Message_proto.BuildWallH\x00\x12<\n\x15update_player_payload\x18\x07 \x01(\x0b\x32\x1b.Message_proto.UpdatePlayerH\x00\x12:\n\x14set_position_payload\x18\x08 \x01(\x0b\x32\x1a.Message_proto.SetPositionH\x00\x42\t\n\x07message\"\x14\n\x04Ping\x12\x0c\n\x04ping\x18\x01 \x01(\t\"/\n\x0bSetPosition\x12\n\n\x02id\x18\x01 \x01(\x05\x12\t\n\x01x\x18\x02 \x01(\x02\x12\t\n\x01y\x18\x03 \x01(\x02\"2\n\x0cMovePosition\x12\n\n\x02id\x18\x01 \x01(\x05\x12\n\n\x02\x64x\x18\x02 \x01(\x02\x12\n\n\x02\x64y\x18\x03 \x01(\x02\"`\n\nInitPlayer\x12\n\n\x02id\x18\x01 \x01(\x05\x12\x11\n\tclient_id\x18\x02 \x01(\x05\x12\t\n\x01x\x18\x03 \x01(\x02\x12\t\n\x01y\x18\x04 \x01(\x02\x12\x0c\n\x04name\x18\x05 \x01(\t\x12\x0f\n\x07is_main\x18\x06 \x01(\x08\"c\n\x03Map\x12\r\n\x05\x62lock\x18\x01 \x03(\x05\x12\x10\n\x08num_cols\x18\x02 \x01(\x05\x12\x10\n\x08num_rows\x18\x03 \x01(\x05\x12\x13\n\x0b\x62lock_width\x18\x04 \x01(\x02\x12\x14\n\x0c\x62lock_height\x18\x05 \x01(\x02\"_\n\x07InitAll\x12.\n\x0binit_player\x18\x01 \x03(\x0b\x32\x19.Message_proto.InitPlayer\x12$\n\x08init_map\x18\x02 \x01(\x0b\x32\x12.Message_proto.Map\"\x1a\n\x0cRemovePlayer\x12\n\n\x02id\x18\x01 \x01(\x05\"%\n\x10RegisterClientID\x12\x11\n\tclient_id\x18\x01 \x01(\x05\"\x9b\x01\n\x05Shoot\x12\n\n\x02id\x18\x01 \x01(\x03\x12\x11\n\tplayer_id\x18\x02 \x01(\x05\x12\t\n\x01x\x18\x03 \x01(\x02\x12\t\n\x01y\x18\x04 \x01(\x02\x12\n\n\x02\x64x\x18\x05 \x01(\x02\x12\n\n\x02\x64y\x18\x06 \x01(\x02\x12,\n\x04type\x18\x07 \x01(\x0e\x32\x1e.Message_proto.Shoot.ShootType\"\x17\n\tShootType\x12\n\n\x06NORMAL\x10\x00\"-\n\tBuildWall\x12\n\n\x02id\x18\x01 \x01(\x05\x12\t\n\x01x\x18\x02 \x01(\x05\x12\t\n\x01y\x18\x03 \x01(\x05\"b\n\x0cUpdatePlayer\x12\n\n\x02id\x18\x01 \x01(\x05\x12\t\n\x01x\x18\x02 \x01(\x02\x12\t\n\x01y\x18\x03 \x01(\x02\x12\x0e\n\x06health\x18\x04 \x01(\x02\x12\x0c\n\x04name\x18\x05 \x01(\t\x12\x12\n\nis_destroy\x18\x06 \x01(\x08\"\xd7\x01\n\x06Player\x12\n\n\x02id\x18\x01 \x01(\x05\x12\t\n\x01x\x18\x02 \x01(\x02\x12\t\n\x01y\x18\x03 \x01(\x02\x12\x0e\n\x06health\x18\x04 \x01(\x02\x12\x0c\n\x04size\x18\x05 \x01(\x02\x12\r\n\x05level\x18\x06 \x01(\x05\x12\r\n\x05score\x18\x07 \x01(\x05\x12\x0c\n\x04name\x18\x08 \x01(\t\x12/\n\x0bnext_reload\x18\t \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x12\n\nis_destroy\x18\n \x01(\x08\x12\x1c\n\x14\x63urrent_input_number\x18\x0b \x01(\x05\"\x99\x03\n\x11ServerGameMessage\x12\x1a\n\x12last_process_input\x18\x01 \x01(\x05\x12\x32\n\x10init_all_payload\x18\x02 \x01(\x0b\x32\x16.Message_proto.InitAllH\x00\x12\x38\n\x13init_player_payload\x18\x03 \x01(\x0b\x32\x19.Message_proto.InitPlayerH\x00\x12\x36\n\x15update_player_payload\x18\x04 \x01(\x0b\x32\x15.Message_proto.PlayerH\x00\x12\x32\n\x12init_shoot_payload\x18\x05 \x01(\x0b\x32\x14.Message_proto.ShootH\x00\x12<\n\x15remove_player_payload\x18\x06 \x01(\x0b\x32\x1b.Message_proto.RemovePlayerH\x00\x12\x45\n\x1aregister_client_id_payload\x18\x07 \x01(\x0b\x32\x1f.Message_proto.RegisterClientIDH\x00\x42\t\n\x07message\"!\n\tWallBlock\x12\t\n\x01x\x18\x01 \x01(\x02\x12\t\n\x01y\x18\x02 \x01(\x02\"p\n\x06\x42ullet\x12\x11\n\tplayer_id\x18\x01 \x01(\x05\x12\n\n\x02sx\x18\x02 \x01(\x02\x12\n\n\x02sy\x18\x03 \x01(\x02\x12\t\n\x01x\x18\x04 \x01(\x02\x12\t\n\x01y\x18\x05 \x01(\x02\x12\n\n\x02\x64x\x18\x06 \x01(\x02\x12\n\n\x02\x64y\x18\x07 \x01(\x02\x12\r\n\x05stime\x18\x08 \x01(\x02*2\n\tDirection\x12\x06\n\x02UP\x10\x00\x12\x08\n\x04\x44OWN\x10\x01\x12\x08\n\x04LEFT\x10\x02\x12\t\n\x05RIGHT\x10\x03\x62\x06proto3') , dependencies=[google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,]) _DIRECTION = _descriptor.EnumDescriptor( name='Direction', full_name='Message_proto.Direction', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='UP', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='DOWN', index=1, number=1, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='LEFT', index=2, number=2, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='RIGHT', index=3, number=3, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=2066, serialized_end=2116, ) _sym_db.RegisterEnumDescriptor(_DIRECTION) Direction = enum_type_wrapper.EnumTypeWrapper(_DIRECTION) UP = 0 DOWN = 1 LEFT = 2 RIGHT = 3 _SHOOT_SHOOTTYPE = _descriptor.EnumDescriptor( name='ShootType', full_name='Message_proto.Shoot.ShootType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='NORMAL', index=0, number=0, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=1115, serialized_end=1138, ) _sym_db.RegisterEnumDescriptor(_SHOOT_SHOOTTYPE) _CLIENTGAMEMESSAGE = _descriptor.Descriptor( name='ClientGameMessage', full_name='Message_proto.ClientGameMessage', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='input_sequence_number', full_name='Message_proto.ClientGameMessage.input_sequence_number', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='time_elapsed', full_name='Message_proto.ClientGameMessage.time_elapsed', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='init_player_payload', full_name='Message_proto.ClientGameMessage.init_player_payload', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='move_position_payload', full_name='Message_proto.ClientGameMessage.move_position_payload', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='shoot_payload', full_name='Message_proto.ClientGameMessage.shoot_payload', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='build_wall_payload', full_name='Message_proto.ClientGameMessage.build_wall_payload', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='update_player_payload', full_name='Message_proto.ClientGameMessage.update_player_payload', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='set_position_payload', full_name='Message_proto.ClientGameMessage.set_position_payload', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='message', full_name='Message_proto.ClientGameMessage.message', index=0, containing_type=None, fields=[]), ], serialized_start=66, serialized_end=494, ) _PING = _descriptor.Descriptor( name='Ping', full_name='Message_proto.Ping', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='ping', full_name='Message_proto.Ping.ping', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=496, serialized_end=516, ) _SETPOSITION = _descriptor.Descriptor( name='SetPosition', full_name='Message_proto.SetPosition', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.SetPosition.id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='x', full_name='Message_proto.SetPosition.x', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.SetPosition.y', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=518, serialized_end=565, ) _MOVEPOSITION = _descriptor.Descriptor( name='MovePosition', full_name='Message_proto.MovePosition', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.MovePosition.id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dx', full_name='Message_proto.MovePosition.dx', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dy', full_name='Message_proto.MovePosition.dy', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=567, serialized_end=617, ) _INITPLAYER = _descriptor.Descriptor( name='InitPlayer', full_name='Message_proto.InitPlayer', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.InitPlayer.id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='client_id', full_name='Message_proto.InitPlayer.client_id', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='x', full_name='Message_proto.InitPlayer.x', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.InitPlayer.y', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='name', full_name='Message_proto.InitPlayer.name', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='is_main', full_name='Message_proto.InitPlayer.is_main', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=619, serialized_end=715, ) _MAP = _descriptor.Descriptor( name='Map', full_name='Message_proto.Map', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='block', full_name='Message_proto.Map.block', index=0, number=1, type=5, cpp_type=1, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_cols', full_name='Message_proto.Map.num_cols', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_rows', full_name='Message_proto.Map.num_rows', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='block_width', full_name='Message_proto.Map.block_width', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='block_height', full_name='Message_proto.Map.block_height', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=717, serialized_end=816, ) _INITALL = _descriptor.Descriptor( name='InitAll', full_name='Message_proto.InitAll', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='init_player', full_name='Message_proto.InitAll.init_player', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='init_map', full_name='Message_proto.InitAll.init_map', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=818, serialized_end=913, ) _REMOVEPLAYER = _descriptor.Descriptor( name='RemovePlayer', full_name='Message_proto.RemovePlayer', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.RemovePlayer.id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=915, serialized_end=941, ) _REGISTERCLIENTID = _descriptor.Descriptor( name='RegisterClientID', full_name='Message_proto.RegisterClientID', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='client_id', full_name='Message_proto.RegisterClientID.client_id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=943, serialized_end=980, ) _SHOOT = _descriptor.Descriptor( name='Shoot', full_name='Message_proto.Shoot', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.Shoot.id', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='player_id', full_name='Message_proto.Shoot.player_id', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='x', full_name='Message_proto.Shoot.x', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.Shoot.y', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dx', full_name='Message_proto.Shoot.dx', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dy', full_name='Message_proto.Shoot.dy', index=5, number=6, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='type', full_name='Message_proto.Shoot.type', index=6, number=7, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ _SHOOT_SHOOTTYPE, ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=983, serialized_end=1138, ) _BUILDWALL = _descriptor.Descriptor( name='BuildWall', full_name='Message_proto.BuildWall', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.BuildWall.id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='x', full_name='Message_proto.BuildWall.x', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.BuildWall.y', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1140, serialized_end=1185, ) _UPDATEPLAYER = _descriptor.Descriptor( name='UpdatePlayer', full_name='Message_proto.UpdatePlayer', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.UpdatePlayer.id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='x', full_name='Message_proto.UpdatePlayer.x', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.UpdatePlayer.y', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='health', full_name='Message_proto.UpdatePlayer.health', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='name', full_name='Message_proto.UpdatePlayer.name', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='is_destroy', full_name='Message_proto.UpdatePlayer.is_destroy', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1187, serialized_end=1285, ) _PLAYER = _descriptor.Descriptor( name='Player', full_name='Message_proto.Player', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='id', full_name='Message_proto.Player.id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='x', full_name='Message_proto.Player.x', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.Player.y', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='health', full_name='Message_proto.Player.health', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='size', full_name='Message_proto.Player.size', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='level', full_name='Message_proto.Player.level', index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='score', full_name='Message_proto.Player.score', index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='name', full_name='Message_proto.Player.name', index=7, number=8, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='next_reload', full_name='Message_proto.Player.next_reload', index=8, number=9, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='is_destroy', full_name='Message_proto.Player.is_destroy', index=9, number=10, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='current_input_number', full_name='Message_proto.Player.current_input_number', index=10, number=11, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1288, serialized_end=1503, ) _SERVERGAMEMESSAGE = _descriptor.Descriptor( name='ServerGameMessage', full_name='Message_proto.ServerGameMessage', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='last_process_input', full_name='Message_proto.ServerGameMessage.last_process_input', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='init_all_payload', full_name='Message_proto.ServerGameMessage.init_all_payload', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='init_player_payload', full_name='Message_proto.ServerGameMessage.init_player_payload', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='update_player_payload', full_name='Message_proto.ServerGameMessage.update_player_payload', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='init_shoot_payload', full_name='Message_proto.ServerGameMessage.init_shoot_payload', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='remove_player_payload', full_name='Message_proto.ServerGameMessage.remove_player_payload', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='register_client_id_payload', full_name='Message_proto.ServerGameMessage.register_client_id_payload', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='message', full_name='Message_proto.ServerGameMessage.message', index=0, containing_type=None, fields=[]), ], serialized_start=1506, serialized_end=1915, ) _WALLBLOCK = _descriptor.Descriptor( name='WallBlock', full_name='Message_proto.WallBlock', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='x', full_name='Message_proto.WallBlock.x', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.WallBlock.y', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1917, serialized_end=1950, ) _BULLET = _descriptor.Descriptor( name='Bullet', full_name='Message_proto.Bullet', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='player_id', full_name='Message_proto.Bullet.player_id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='sx', full_name='Message_proto.Bullet.sx', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='sy', full_name='Message_proto.Bullet.sy', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='x', full_name='Message_proto.Bullet.x', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='y', full_name='Message_proto.Bullet.y', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dx', full_name='Message_proto.Bullet.dx', index=5, number=6, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dy', full_name='Message_proto.Bullet.dy', index=6, number=7, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='stime', full_name='Message_proto.Bullet.stime', index=7, number=8, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1952, serialized_end=2064, ) _CLIENTGAMEMESSAGE.fields_by_name['init_player_payload'].message_type = _INITPLAYER _CLIENTGAMEMESSAGE.fields_by_name['move_position_payload'].message_type = _MOVEPOSITION _CLIENTGAMEMESSAGE.fields_by_name['shoot_payload'].message_type = _SHOOT _CLIENTGAMEMESSAGE.fields_by_name['build_wall_payload'].message_type = _BUILDWALL _CLIENTGAMEMESSAGE.fields_by_name['update_player_payload'].message_type = _UPDATEPLAYER _CLIENTGAMEMESSAGE.fields_by_name['set_position_payload'].message_type = _SETPOSITION _CLIENTGAMEMESSAGE.oneofs_by_name['message'].fields.append( _CLIENTGAMEMESSAGE.fields_by_name['init_player_payload']) _CLIENTGAMEMESSAGE.fields_by_name['init_player_payload'].containing_oneof = _CLIENTGAMEMESSAGE.oneofs_by_name['message'] _CLIENTGAMEMESSAGE.oneofs_by_name['message'].fields.append( _CLIENTGAMEMESSAGE.fields_by_name['move_position_payload']) _CLIENTGAMEMESSAGE.fields_by_name['move_position_payload'].containing_oneof = _CLIENTGAMEMESSAGE.oneofs_by_name['message'] _CLIENTGAMEMESSAGE.oneofs_by_name['message'].fields.append( _CLIENTGAMEMESSAGE.fields_by_name['shoot_payload']) _CLIENTGAMEMESSAGE.fields_by_name['shoot_payload'].containing_oneof = _CLIENTGAMEMESSAGE.oneofs_by_name['message'] _CLIENTGAMEMESSAGE.oneofs_by_name['message'].fields.append( _CLIENTGAMEMESSAGE.fields_by_name['build_wall_payload']) _CLIENTGAMEMESSAGE.fields_by_name['build_wall_payload'].containing_oneof = _CLIENTGAMEMESSAGE.oneofs_by_name['message'] _CLIENTGAMEMESSAGE.oneofs_by_name['message'].fields.append( _CLIENTGAMEMESSAGE.fields_by_name['update_player_payload']) _CLIENTGAMEMESSAGE.fields_by_name['update_player_payload'].containing_oneof = _CLIENTGAMEMESSAGE.oneofs_by_name['message'] _CLIENTGAMEMESSAGE.oneofs_by_name['message'].fields.append( _CLIENTGAMEMESSAGE.fields_by_name['set_position_payload']) _CLIENTGAMEMESSAGE.fields_by_name['set_position_payload'].containing_oneof = _CLIENTGAMEMESSAGE.oneofs_by_name['message'] _INITALL.fields_by_name['init_player'].message_type = _INITPLAYER _INITALL.fields_by_name['init_map'].message_type = _MAP _SHOOT.fields_by_name['type'].enum_type = _SHOOT_SHOOTTYPE _SHOOT_SHOOTTYPE.containing_type = _SHOOT _PLAYER.fields_by_name['next_reload'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _SERVERGAMEMESSAGE.fields_by_name['init_all_payload'].message_type = _INITALL _SERVERGAMEMESSAGE.fields_by_name['init_player_payload'].message_type = _INITPLAYER _SERVERGAMEMESSAGE.fields_by_name['update_player_payload'].message_type = _PLAYER _SERVERGAMEMESSAGE.fields_by_name['init_shoot_payload'].message_type = _SHOOT _SERVERGAMEMESSAGE.fields_by_name['remove_player_payload'].message_type = _REMOVEPLAYER _SERVERGAMEMESSAGE.fields_by_name['register_client_id_payload'].message_type = _REGISTERCLIENTID _SERVERGAMEMESSAGE.oneofs_by_name['message'].fields.append( _SERVERGAMEMESSAGE.fields_by_name['init_all_payload']) _SERVERGAMEMESSAGE.fields_by_name['init_all_payload'].containing_oneof = _SERVERGAMEMESSAGE.oneofs_by_name['message'] _SERVERGAMEMESSAGE.oneofs_by_name['message'].fields.append( _SERVERGAMEMESSAGE.fields_by_name['init_player_payload']) _SERVERGAMEMESSAGE.fields_by_name['init_player_payload'].containing_oneof = _SERVERGAMEMESSAGE.oneofs_by_name['message'] _SERVERGAMEMESSAGE.oneofs_by_name['message'].fields.append( _SERVERGAMEMESSAGE.fields_by_name['update_player_payload']) _SERVERGAMEMESSAGE.fields_by_name['update_player_payload'].containing_oneof = _SERVERGAMEMESSAGE.oneofs_by_name['message'] _SERVERGAMEMESSAGE.oneofs_by_name['message'].fields.append( _SERVERGAMEMESSAGE.fields_by_name['init_shoot_payload']) _SERVERGAMEMESSAGE.fields_by_name['init_shoot_payload'].containing_oneof = _SERVERGAMEMESSAGE.oneofs_by_name['message'] _SERVERGAMEMESSAGE.oneofs_by_name['message'].fields.append( _SERVERGAMEMESSAGE.fields_by_name['remove_player_payload']) _SERVERGAMEMESSAGE.fields_by_name['remove_player_payload'].containing_oneof = _SERVERGAMEMESSAGE.oneofs_by_name['message'] _SERVERGAMEMESSAGE.oneofs_by_name['message'].fields.append( _SERVERGAMEMESSAGE.fields_by_name['register_client_id_payload']) _SERVERGAMEMESSAGE.fields_by_name['register_client_id_payload'].containing_oneof = _SERVERGAMEMESSAGE.oneofs_by_name['message'] DESCRIPTOR.message_types_by_name['ClientGameMessage'] = _CLIENTGAMEMESSAGE DESCRIPTOR.message_types_by_name['Ping'] = _PING DESCRIPTOR.message_types_by_name['SetPosition'] = _SETPOSITION DESCRIPTOR.message_types_by_name['MovePosition'] = _MOVEPOSITION DESCRIPTOR.message_types_by_name['InitPlayer'] = _INITPLAYER DESCRIPTOR.message_types_by_name['Map'] = _MAP DESCRIPTOR.message_types_by_name['InitAll'] = _INITALL DESCRIPTOR.message_types_by_name['RemovePlayer'] = _REMOVEPLAYER DESCRIPTOR.message_types_by_name['RegisterClientID'] = _REGISTERCLIENTID DESCRIPTOR.message_types_by_name['Shoot'] = _SHOOT DESCRIPTOR.message_types_by_name['BuildWall'] = _BUILDWALL DESCRIPTOR.message_types_by_name['UpdatePlayer'] = _UPDATEPLAYER DESCRIPTOR.message_types_by_name['Player'] = _PLAYER DESCRIPTOR.message_types_by_name['ServerGameMessage'] = _SERVERGAMEMESSAGE DESCRIPTOR.message_types_by_name['WallBlock'] = _WALLBLOCK DESCRIPTOR.message_types_by_name['Bullet'] = _BULLET DESCRIPTOR.enum_types_by_name['Direction'] = _DIRECTION _sym_db.RegisterFileDescriptor(DESCRIPTOR) ClientGameMessage = _reflection.GeneratedProtocolMessageType('ClientGameMessage', (_message.Message,), dict( DESCRIPTOR = _CLIENTGAMEMESSAGE, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.ClientGameMessage) )) _sym_db.RegisterMessage(ClientGameMessage) Ping = _reflection.GeneratedProtocolMessageType('Ping', (_message.Message,), dict( DESCRIPTOR = _PING, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.Ping) )) _sym_db.RegisterMessage(Ping) SetPosition = _reflection.GeneratedProtocolMessageType('SetPosition', (_message.Message,), dict( DESCRIPTOR = _SETPOSITION, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.SetPosition) )) _sym_db.RegisterMessage(SetPosition) MovePosition = _reflection.GeneratedProtocolMessageType('MovePosition', (_message.Message,), dict( DESCRIPTOR = _MOVEPOSITION, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.MovePosition) )) _sym_db.RegisterMessage(MovePosition) InitPlayer = _reflection.GeneratedProtocolMessageType('InitPlayer', (_message.Message,), dict( DESCRIPTOR = _INITPLAYER, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.InitPlayer) )) _sym_db.RegisterMessage(InitPlayer) Map = _reflection.GeneratedProtocolMessageType('Map', (_message.Message,), dict( DESCRIPTOR = _MAP, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.Map) )) _sym_db.RegisterMessage(Map) InitAll = _reflection.GeneratedProtocolMessageType('InitAll', (_message.Message,), dict( DESCRIPTOR = _INITALL, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.InitAll) )) _sym_db.RegisterMessage(InitAll) RemovePlayer = _reflection.GeneratedProtocolMessageType('RemovePlayer', (_message.Message,), dict( DESCRIPTOR = _REMOVEPLAYER, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.RemovePlayer) )) _sym_db.RegisterMessage(RemovePlayer) RegisterClientID = _reflection.GeneratedProtocolMessageType('RegisterClientID', (_message.Message,), dict( DESCRIPTOR = _REGISTERCLIENTID, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.RegisterClientID) )) _sym_db.RegisterMessage(RegisterClientID) Shoot = _reflection.GeneratedProtocolMessageType('Shoot', (_message.Message,), dict( DESCRIPTOR = _SHOOT, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.Shoot) )) _sym_db.RegisterMessage(Shoot) BuildWall = _reflection.GeneratedProtocolMessageType('BuildWall', (_message.Message,), dict( DESCRIPTOR = _BUILDWALL, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.BuildWall) )) _sym_db.RegisterMessage(BuildWall) UpdatePlayer = _reflection.GeneratedProtocolMessageType('UpdatePlayer', (_message.Message,), dict( DESCRIPTOR = _UPDATEPLAYER, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.UpdatePlayer) )) _sym_db.RegisterMessage(UpdatePlayer) Player = _reflection.GeneratedProtocolMessageType('Player', (_message.Message,), dict( DESCRIPTOR = _PLAYER, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.Player) )) _sym_db.RegisterMessage(Player) ServerGameMessage = _reflection.GeneratedProtocolMessageType('ServerGameMessage', (_message.Message,), dict( DESCRIPTOR = _SERVERGAMEMESSAGE, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.ServerGameMessage) )) _sym_db.RegisterMessage(ServerGameMessage) WallBlock = _reflection.GeneratedProtocolMessageType('WallBlock', (_message.Message,), dict( DESCRIPTOR = _WALLBLOCK, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.WallBlock) )) _sym_db.RegisterMessage(WallBlock) Bullet = _reflection.GeneratedProtocolMessageType('Bullet', (_message.Message,), dict( DESCRIPTOR = _BULLET, __module__ = 'message_pb2' # @@protoc_insertion_point(class_scope:Message_proto.Bullet) )) _sym_db.RegisterMessage(Bullet) # @@protoc_insertion_point(module_scope)

42.068761

4,045

0.748471

6,467

49,557

5.424772

0.050255

0.056325

0.058663

0.053589

0.808249

0.745026

0.721595

0.682259

0.660453

0.646343

0

0.040173

0.127005

49,557

1,177

4,046

42.104503

0.770728

0.023307

0

0.69708

1

0.000912

0.190054

0.14855

0

1

0

false

0

0.006387

0

0.006387

0

null

0

1

0

1

0

1

0

1

0

null

0

6

2cda0a8203f4fb7174d0c3dda8e83458c2dc2154

1,937

py

Python

accelbyte_py_sdk/api/sessionbrowser/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

accelbyte_py_sdk/api/sessionbrowser/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

1

2021-10-13T03:46:58.000Z

accelbyte_py_sdk/api/sessionbrowser/__init__.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template file: justice_py_sdk_codegen/__main__.py """Auto-generated package that contains models used by the justice-session-browser-service.""" __version__ = "" __author__ = "AccelByte" __email__ = "dev@accelbyte.net" # pylint: disable=line-too-long # session from .wrappers import add_player_to_session from .wrappers import add_player_to_session_async from .wrappers import admin_get_session from .wrappers import admin_get_session_async from .wrappers import create_session from .wrappers import create_session_async from .wrappers import delete_session from .wrappers import delete_session_async from .wrappers import delete_session_local_ds from .wrappers import delete_session_local_ds_async from .wrappers import get_active_custom_game_sessions from .wrappers import get_active_custom_game_sessions_async from .wrappers import get_active_matchmaking_game_sessions from .wrappers import get_active_matchmaking_game_sessions_async from .wrappers import get_recent_player from .wrappers import get_recent_player_async from .wrappers import get_session from .wrappers import get_session_async from .wrappers import get_session_by_user_i_ds from .wrappers import get_session_by_user_i_ds_async from .wrappers import get_total_active_session from .wrappers import get_total_active_session_async from .wrappers import join_session from .wrappers import join_session_async from .wrappers import query_session from .wrappers import query_session_async from .wrappers import remove_player_from_session from .wrappers import remove_player_from_session_async from .wrappers import update_session from .wrappers import update_session_async from .wrappers import update_settings from .wrappers import update_settings_async

38.74

94

0.859577

279

1,937

5.584229

0.290323

0.24647

0.369705

0.221438

0.776637

0.591784

0.426829

0.220154

0.047497

0

0.002296

0.100671

1,937

49

95

39.530612

0.892078

0.19618

0

1

0

0.016839

0

1

0

false

0

0.914286

0

0.914286

0

null

1

0

1

0

null

0

1

0

1

0

6

fa00b18710a9161e9470464df07e2d2004fda489

133

py

Python

__init__.py

WikiaSun/Slash

670eb97d86e18006397300f7fbfde91154cdbf23

[ "MIT" ]

null

__init__.py

WikiaSun/Slash

670eb97d86e18006397300f7fbfde91154cdbf23

[ "MIT" ]

null

__init__.py

WikiaSun/Slash

670eb97d86e18006397300f7fbfde91154cdbf23

[ "MIT" ]

null

from .bot import * from .enums import * from .command import * from .context import * from .converter import * from .message import *

22.166667

24

0.736842

18

133

5.444444

0.444444

0.510204

0

0.172932

133

6

25

22.166667

0.890909

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

fa041e432806f912fd2d92278fa9a6d56e85a81f

168

py

Python

tests/basics/set_isdisjoint.py

geowor01/micropython

7fb13eeef4a85f21cae36f1d502bcc53880e1815

[ "MIT" ]

7

2019-10-18T13:41:39.000Z

2022-03-15T17:27:57.000Z

tests/basics/set_isdisjoint.py

geowor01/micropython

7fb13eeef4a85f21cae36f1d502bcc53880e1815

[ "MIT" ]

null

tests/basics/set_isdisjoint.py

geowor01/micropython

7fb13eeef4a85f21cae36f1d502bcc53880e1815

[ "MIT" ]

2

2020-06-23T09:10:15.000Z

2020-12-22T06:42:14.000Z

s = {1, 2, 3, 4} print(s.isdisjoint({1})) print(s.isdisjoint([2])) print(s.isdisjoint([])) print(s.isdisjoint({7,8,9,10})) print(s.isdisjoint([7,8,9,1])) print("PASS")

21

31

0.625

32

168

3.28125

0.375

0.285714

0.761905

0.32381

0.361905

0

0.096154

0.071429

168

8

32

21

0.576923

0

0.023669

0

1

0

false

0.142857

0

0.857143

0

null

1

0

1

0

null

0

1

0

1

0

6

fa18807423f4c45776b883130e452f6889e707be

10,168

py

Python

gym_aima/__init__.py

wegfawefgawefg/gym-aima

79efa263f90bee9a8c18140a8320d5d98245c665

[ "MIT" ]

5

2020-03-08T04:58:25.000Z

2022-01-28T13:19:50.000Z

gym_aima/__init__.py

wegfawefgawefg/gym-aima

79efa263f90bee9a8c18140a8320d5d98245c665

[ "MIT" ]

null

gym_aima/__init__.py

wegfawefgawefg/gym-aima

79efa263f90bee9a8c18140a8320d5d98245c665

[ "MIT" ]

4

2020-04-11T14:02:21.000Z

2022-03-27T15:38:17.000Z

from gym.envs.registration import register # Classic Gridworld environments register( id='RussellNorvigGridworld-v0', # To reproduce must use gamma of 1.0 (no discount) entry_point='gym_aima.envs:AIMAEnv', # With or without the sink state it will work # because they don't use discounting kwargs={'noise': 0.2, 'living_rew': -0.04, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( # To reproduce must use gamma of 0.9 id='AbbeelKleinGridworld-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': 0.0, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) # Low Noise, With Sink Final State, All living costs register( id='AIMAGridworldLowNoiseNoLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': 0.0, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseTinyLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -0.01, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseSmallLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -0.04, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseMediumLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -0.1, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseLargeLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -2, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseLargeLivingBonusWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': 2, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) # Medium Noise, With Sink Final State, All living costs register( id='AIMAGridworldMediumNoiseNoLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': 0.0, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseTinyLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -0.01, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseSmallLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -0.04, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseMediumLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -0.1, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseLargeLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -2, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseLargeLivingBonusWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': 2, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) # High Noise, With Sink Final State, All living costs register( id='AIMAGridworldHighNoiseNoLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': 0.0, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseTinyLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -0.01, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseSmallLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -0.04, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseMediumLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -0.1, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseLargeLivingCostWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -2, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseLargeLivingBonusWithSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': 2, 'sink': True}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) # Low Noise, Without Sink Final State, All living costs register( id='AIMAGridworldLowNoiseNoLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': 0.0, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseTinyLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -0.01, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseSmallLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -0.04, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseMediumLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -0.1, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseLargeLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': -2, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldLowNoiseLargeLivingBonusNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.2, 'living_rew': 2, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) # Medium Noise, Without Sink Final State, All living costs register( id='AIMAGridworldMediumNoiseNoLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': 0.0, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseTinyLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -0.01, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseSmallLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -0.04, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseMediumLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -0.1, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseLargeLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': -2, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldMediumNoiseLargeLivingBonusNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.5, 'living_rew': 2, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) # High Noise, Without Sink Final State, All living costs register( id='AIMAGridworldHighNoiseNoLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': 0.0, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseTinyLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -0.01, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseSmallLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -0.04, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseMediumLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -0.1, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseLargeLivingCostNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': -2, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, ) register( id='AIMAGridworldHighNoiseLargeLivingBonusNoSink-v0', entry_point='gym_aima.envs:AIMAEnv', kwargs={'noise': 0.6666, 'living_rew': 2, 'sink': False}, max_episode_steps=100, reward_threshold=1.0, nondeterministic=True, )

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fa282cc0d3049e86e15ebcb790a4713cc4a4467b

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Python

ensai_model.py

Unique-Divine/Neural-Networks-for-Gravitational-Lens-Modeling

cd64ceda84bdd1486ad17585074ba8c7a0576ab5

[ "MIT" ]

null

ensai_model.py

Unique-Divine/Neural-Networks-for-Gravitational-Lens-Modeling

cd64ceda84bdd1486ad17585074ba8c7a0576ab5

[ "MIT" ]

null

ensai_model.py

Unique-Divine/Neural-Networks-for-Gravitational-Lens-Modeling

cd64ceda84bdd1486ad17585074ba8c7a0576ab5

[ "MIT" ]

null

trunc_normal = lambda stddev: tf.truncated_normal_initializer(0.0, stddev) def model_transformer(x_image , scope="transformer", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d, slim.fully_connected], activation_fn=tf.nn.relu): net = slim.conv2d(x_image, 64, [11, 11], 4, padding='VALID', scope='conv1') net = slim.max_pool2d(net, [2, 2], scope='pool1') net = slim.conv2d(net, 256, [5, 5], padding='VALID', scope='conv2') net = slim.max_pool2d(net, [2, 2], scope='pool2') net = slim.conv2d(net, 512, [3, 3], scope='conv3') net = slim.conv2d(net, 1024, [3, 3], scope='conv4') net = slim.conv2d(net, 1024, [3, 3], scope='conv5') net = slim.max_pool2d(net, [2, 2], scope='pool5') with slim.arg_scope([slim.conv2d], weights_initializer=trunc_normal(0.005), biases_initializer=tf.constant_initializer(0.1)): net = slim.conv2d(net, 3072, [2, 2], padding='VALID', scope='fc6') net = slim.conv2d(net, 4096, [1, 1], scope='fc7') net = slim.conv2d(net, 5, [1, 1], activation_fn=None, normalizer_fn=None, biases_initializer=tf.zeros_initializer(), scope='fc8') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 5 , activation_fn = None , scope='FC1') net_x = slim.fully_connected(net, 1 , activation_fn=None , scope='TF_predict_x') net_y = slim.fully_connected(net, 1 , activation_fn=None , scope='TF_predict_y') zero_col = net_x * 0 one_col = net_x * 0 + 1 transformation_tensor = tf.concat( axis = 1 , values = [one_col, zero_col , 1.0 * net_x / ((192*0.04)/2), zero_col , one_col , 1.0 * net_y / ((192*0.04)/2) ] ) x_image = transformer(x_image, transformation_tensor , (numpix_side, numpix_side) ) x_image = tf.reshape(x_image , [-1,numpix_side,numpix_side,1] ) return x_image, net_x, net_y batch_norm_params = { # Decay for the moving averages. 'decay': 0.9997, # epsilon to prevent 0s in variance. 'epsilon': 0.001, # collection containing update_ops. 'updates_collections': tf.GraphKeys.UPDATE_OPS, } def block_a(inputs, scope=None, reuse=None): # By default use stride=1 and SAME padding with slim.arg_scope([slim.conv2d], stride=1, padding='SAME'): with tf.variable_scope(scope, 'BlockA', [inputs], reuse=reuse): with tf.variable_scope('branch_0'): branch_0 = slim.conv2d(inputs, 32, [1, 1], scope='Conv2d_0a_1x1') with tf.variable_scope('branch_1'): branch_1 = slim.conv2d(inputs, 16, [1, 1], scope='Conv2d_0a_1x1') branch_1 = slim.conv2d(branch_1, 16, [3, 3], scope='Conv2d_0b_3x3') with tf.variable_scope('branch_2'): branch_2 = slim.conv2d(inputs, 32, [1, 1], scope='Conv2d_0a_1x1') branch_2 = slim.conv2d(branch_2, 32, [3, 3], scope='Conv2d_0b_3x3') branch_2 = slim.conv2d(branch_2, 32, [5, 5], scope='Conv2d_0c_5x5') branch_2 = slim.conv2d(branch_2, 32, [10, 10], scope='Conv2d_0c_10x10') with tf.variable_scope('branch_3'): branch_3 = slim.conv2d(inputs, 32, [1, 1], scope='Conv2d_0b_1x1') return tf.concat(axis=3, values=[branch_0, branch_1, branch_2, branch_3]) mixed = tf.concat(axis=3, values=[branch_0, branch_1, branch_2, branch_3]) up = slim.conv2d(mixed, inputs.get_shape()[3], 1, normalizer_fn = slim.batch_norm , normalizer_params = batch_norm_params , activation_fn=tf.nn.relu, scope='RES_1') scale = 0.7 inputs += scale * up def model_1(net, scope="EN_Model1", reuse=None): with tf.variable_scope(scope): with tf.variable_scope('BlockA_1',reuse=reuse): net = block_a(net) with tf.variable_scope('BlockA_2',reuse=reuse): net = block_a(net) net = slim.max_pool2d(net, [3, 3], stride=2, padding='VALID', scope='MaxPool_1') with tf.variable_scope('BlockA_3',reuse=reuse): net = block_a(net) with tf.variable_scope('BlockA_4',reuse=reuse): net = block_a(net) net = slim.max_pool2d(net, [3, 3], stride=2, padding='VALID', scope='MaxPool_2') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 124, activation_fn=tf.nn.relu, scope='FC1') net = slim.fully_connected(net, 5 , activation_fn=None, scope='read_out_layer') net = tf.reshape(net,[-1,5]) return net def model_2(net, scope="EN_Model2", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d], activation_fn=tf.nn.relu): net = slim.conv2d(net, 16, [3, 3], stride=1 , scope='conv_1') net = slim.conv2d(net, 16, [3, 3], stride=1 , scope='conv_2') net = slim.max_pool2d(net, [3, 3], stride=2, padding='VALID', scope='MaxPool_1') net = slim.conv2d(net, 32, [3, 3], stride=1 , scope='conv_3') net = slim.conv2d(net, 32, [1, 1], stride=1 , scope='conv_4') net = slim.max_pool2d(net, [3, 3], stride=2, padding='VALID', scope='MaxPool_2') net = slim.conv2d(net, 32, [5, 5], stride=2 , scope='conv_5') net = slim.conv2d(net, 32, [5, 5], stride=2 , scope='conv_6') net = slim.conv2d(net, 32, [1, 1], stride=1 , scope='conv_7') net = slim.conv2d(net, 32, [5, 5], stride=2 , scope='conv_8') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 124, activation_fn=tf.nn.relu , scope='FC1') net = slim.fully_connected(net, 5 , activation_fn=None, scope='read_out_layer') net = tf.reshape(net,[-1,5]) return net # No pooling, conv stride 2 for reduction def model_3(net, scope="EN_Model3", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d], activation_fn=tf.nn.relu, stride=1): net = slim.conv2d(net, 16, [3, 3], activation_fn=None , scope='conv_10') net = slim.conv2d(net, 16, [1, 1], activation_fn=None , scope='conv_11') net = slim.conv2d(net, 16, [5, 5], activation_fn=None , scope='conv_20') net = slim.conv2d(net, 16, [1, 1] , scope='conv_21') net = slim.conv2d(net, 16, [10, 10], stride=2 , scope='conv_30') net = slim.conv2d(net, 16, [1, 1] , scope='conv_31') net = slim.conv2d(net, 16, [10, 10], stride=2 , scope='conv_40') net = slim.conv2d(net, 16, [1, 1] , scope='conv_41') net = slim.conv2d(net, 32, [10, 10], stride=2 , scope='conv_50') net = slim.conv2d(net, 32, [1, 1] , scope='conv_51') net = slim.conv2d(net, 64, [3, 3], stride=2 , scope='conv_60') net = slim.conv2d(net, 64, [1, 1] , scope='conv_61') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 124 , activation_fn=tf.nn.relu , scope='FC1') net = slim.fully_connected(net, 5 , activation_fn=None, scope='read_out_layer') net = tf.reshape(net,[-1,5]) return net # Few layers, no pooling, only one stride 2 conv. def model_4(net, scope="EN_Model4", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d], activation_fn=tf.nn.relu, stride=1): net = slim.conv2d(net, 16, [3, 3], activation_fn=None , scope='conv_10') net = slim.conv2d(net, 16, [1, 1], activation_fn=None , scope='conv_11') net = slim.conv2d(net, 16, [5, 5], activation_fn=None , scope='conv_20') net = slim.conv2d(net, 16, [1, 1] , scope='conv_21') net = slim.conv2d(net, 16, [20, 20], stride=2 , scope='conv_30') net = slim.conv2d(net, 16, [1, 1] , scope='conv_31') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 32 , activation_fn=tf.nn.relu , scope='FC1') net = slim.fully_connected(net, 16 , activation_fn=tf.nn.relu , scope='FC2') net = slim.fully_connected(net, 5 , activation_fn=None, scope='read_out_layer') net = tf.reshape(net,[-1,5]) return net # Overfeat model trunc_normal = lambda stddev: tf.truncated_normal_initializer(0.0, stddev) def model_5(net, scope="EN_Model5", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d], padding = 'SAME', activation_fn=tf.nn.relu, stride=1): net = slim.conv2d(net, 64, [11, 11], stride=4, padding='VALID', scope='conv1') net = slim.max_pool2d(net, [2, 2], scope='pool1') net = slim.conv2d(net, 256, [5, 5], padding='VALID', scope='conv2') net = slim.max_pool2d(net, [2, 2], scope='pool2') net = slim.conv2d(net, 512, [3, 3], scope='conv3') net = slim.conv2d(net, 1024, [3, 3], scope='conv4') net = slim.conv2d(net, 1024, [3, 3], scope='conv5') net = slim.max_pool2d(net, [2, 2], scope='pool5') with slim.arg_scope([slim.conv2d], weights_initializer=trunc_normal(0.005), biases_initializer=tf.constant_initializer(0.1), activation_fn=tf.nn.relu): net = slim.conv2d(net, 3072, [2, 2], padding='VALID', scope='fc6') net = slim.conv2d(net, 4096, [1, 1], scope='fc7') net = slim.conv2d(net, 5, [1, 1], activation_fn=None, normalizer_fn=None, biases_initializer=tf.zeros_initializer(), scope='fc8') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 5 , activation_fn = None , scope='FC1') net = tf.reshape(net,[-1,5]) return net # Simple, minimalistic model with pool at every layer def model_6(net, scope="EN_Model6", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d], padding = 'SAME', activation_fn=tf.nn.relu, stride=1): net = slim.conv2d(net, 8, [3, 3] , scope='conv1') net = slim.max_pool2d(net, [3, 3], scope='pool1') net = slim.conv2d(net, 8, [5, 5] , scope='conv2') net = slim.max_pool2d(net, [3, 3], scope='pool2') net = slim.conv2d(net, 16, [5, 5], scope='conv3') net = slim.max_pool2d(net, [2, 2], scope='pool3') net = slim.conv2d(net, 16, [3, 3], scope='conv4') net = slim.max_pool2d(net, [3, 3], scope='pool4') net = slim.conv2d(net, 16, [3, 3], scope='conv5') net = slim.max_pool2d(net, [2, 2], scope='pool5') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 128 , activation_fn = tf.nn.relu , scope='FC1') net = slim.fully_connected(net, 5 , activation_fn = None , scope='FC3') net = tf.reshape(net,[-1,5]) return net # only 2 fully connected layers def model_7(net, scope="EN_Model7", reuse=None): with tf.variable_scope(scope): net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 128 , activation_fn = tf.nn.relu , scope='FC1') net = slim.fully_connected(net, 64 , activation_fn = tf.nn.relu , scope='FC2') net = slim.fully_connected(net, 5 , activation_fn = None , scope='FC3') net = tf.reshape(net,[-1,5]) return net # No pooling, conv stride 2 for reduction def model_8(net, scope="EN_Model8", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d], activation_fn=tf.nn.relu, stride=1): net = slim.conv2d(net, 32, [3, 3], activation_fn=None , scope='conv_10') net = slim.conv2d(net, 32, [1, 1], activation_fn=None , scope='conv_11') net = slim.conv2d(net, 32, [5, 5], activation_fn=None , scope='conv_20') net = slim.conv2d(net, 32, [1, 1] , scope='conv_21') net = slim.conv2d(net, 32, [10, 10], stride=2 , scope='conv_30') net = slim.conv2d(net, 32, [1, 1] , scope='conv_31') net = slim.conv2d(net, 32, [10, 10], stride=1 , scope='conv_40') net = slim.conv2d(net, 32, [1, 1] , scope='conv_41') net = slim.conv2d(net, 64, [10, 10], stride=2 , scope='conv_50') net = slim.conv2d(net, 64, [1, 1] , scope='conv_51') net = slim.conv2d(net, 64, [10, 10], stride=1 , scope='conv_60') net = slim.conv2d(net, 64, [1, 1] , scope='conv_61') net = slim.conv2d(net, 128, [10, 10], stride=2 , scope='conv_70') net = slim.conv2d(net, 128, [1, 1] , scope='conv_71') net = slim.conv2d(net, 256, [3, 3], stride=1 , scope='conv_80') net = slim.conv2d(net, 256, [1, 1] , scope='conv_81') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 512 , activation_fn=tf.nn.relu , scope='FC1') net = slim.fully_connected(net, 5 , activation_fn=None, scope='read_out_layer') net = tf.reshape(net,[-1,5]) return net trunc_normal = lambda stddev: tf.truncated_normal_initializer(0.0, stddev) def alexnet_v2_arg_scope(weight_decay=0.0005): with slim.arg_scope([slim.conv2d, slim.fully_connected], activation_fn=tf.nn.relu, biases_initializer=tf.constant_initializer(0.1), weights_regularizer=slim.l2_regularizer(weight_decay)): with slim.arg_scope([slim.conv2d], padding='SAME'): with slim.arg_scope([slim.max_pool2d], padding='VALID') as arg_sc: return arg_sc def model_9(net,num_classes=5,is_training=True,scope='alexnet_v2'): with tf.variable_scope(scope, 'alexnet_v2', [net]) as sc: net = slim.conv2d(net, 64, [11, 11], 4, padding='VALID',scope='conv1') net = slim.max_pool2d(net, [3, 3], 2, scope='pool1') net = slim.conv2d(net, 192, [5, 5], scope='conv2') net = slim.max_pool2d(net, [3, 3], 2, scope='pool2') net = slim.conv2d(net, 384, [3, 3], scope='conv3') net = slim.conv2d(net, 384, [3, 3], scope='conv4') net = slim.conv2d(net, 256, [3, 3], scope='conv5') net = slim.max_pool2d(net, [3, 3], 2, scope='pool5') # Use conv2d instead of fully_connected layers. with slim.arg_scope([slim.conv2d], weights_initializer=trunc_normal(0.005), biases_initializer=tf.constant_initializer(0.1)): net = slim.conv2d(net, 4096, [4, 4], padding='VALID', scope='fc6') net = slim.conv2d(net, 4096, [1, 1], scope='fc7') net = slim.conv2d(net, num_classes, [1, 1], activation_fn=None, normalizer_fn=None, biases_initializer=tf.zeros_initializer(),scope='fc8') net = tf.reshape(net,[-1,5]) return net model_9.default_image_size = 192 # Kitt Peak model def model_10(net, scope="EN_Model10", reuse=None): with tf.variable_scope(scope): with slim.arg_scope([slim.conv2d], padding = 'SAME', activation_fn=tf.nn.relu, stride=1): MASK = tf.abs(tf.sign(net)) XX = net + ( (1-MASK) * 1000.0) bias_measure_filt = tf.constant((1.0/16.0), shape=[4, 4, 1, 1]) bias_measure = tf.nn.conv2d( XX , bias_measure_filt , strides=[1, 1, 1, 1], padding='VALID') im_bias = tf.reshape( tf.reduce_min(bias_measure,axis=[1,2,3]) , [-1,1,1,1] ) net = net - (im_bias * MASK ) net = slim.conv2d(net, 64, [2, 2] , scope='conv1') net = slim.max_pool2d(net, [2, 2], scope='pool1') net = slim.conv2d(net, 64, [2, 2] , scope='conv2') net = slim.max_pool2d(net, [2, 2], scope='pool2') net = slim.conv2d(net, 64, [2, 2], scope='conv3') net = slim.max_pool2d(net, [2, 2], scope='pool3') net = slim.conv2d(net, 128, [3, 3], scope='conv4') net = slim.max_pool2d(net, [2, 2], scope='pool4') net = slim.conv2d(net, 128, [3, 3], scope='conv5') net = slim.max_pool2d(net, [2, 2], scope='pool5') net = slim.conv2d(net, 256, [3, 3], scope='conv6') net = slim.flatten(net, scope='Flatten') net = slim.fully_connected(net, 1024 , activation_fn = tf.tanh , scope='FC1') net = slim.fully_connected(net, 128 , activation_fn = tf.tanh , scope='FC2') net = slim.fully_connected(net, 5 , activation_fn = None , scope='FC3') net = tf.reshape(net,[-1,5]) return net def cost_tensor(y_conv , scale_pars = [ [1., 0., 0., 0., 0.],[0. , 1. , 0., 0., 0.],[0., 0. , 1., 0., 0.],[0., 0. , 0., 1., 0.],[0., 0. , 0., 0., 1.]] ): FLIPXY = tf.constant([ [1., 0., 0., 0., 0.],[0. , -1. , 0., 0., 0.],[0., 0. , -1., 0., 0.],[0., 0. , 0., 1., 0.],[0., 0. , 0., 0., 1.]] ) y_conv_flipped = tf.matmul(y_conv, FLIPXY) scale_par_cost = tf.constant(scale_pars ) scaled_delta_1 = tf.matmul(tf.pow(y_conv - y_,2) , scale_par_cost) scaled_delta_2 = tf.matmul(tf.pow(y_conv_flipped - y_,2) , scale_par_cost) MeanSquareCost = tf.reduce_mean( tf.minimum(tf.reduce_mean( scaled_delta_1 ,axis=1) , tf.reduce_mean( scaled_delta_2 ,axis=1)) , axis=0) return MeanSquareCost, y_conv_flipped

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17,705

3.817721

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0.102341

0.124323

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0.082011

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1

0

null

0

1

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6

d70cde36148a5783791e89a6e0ac7867bbe28dc0

143

py

Python

metadata.py

ks8/conformation

f470849d5b7b90dc5a65bab8a536de1d57c1021a

[ "MIT" ]

null

metadata.py

ks8/conformation

f470849d5b7b90dc5a65bab8a536de1d57c1021a

[ "MIT" ]

null

metadata.py

ks8/conformation

f470849d5b7b90dc5a65bab8a536de1d57c1021a

[ "MIT" ]

null

""" Generate metadata. """ from conformation.metadata import metadata, Args if __name__ == '__main__': metadata(Args().parse_args())

23.833333

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0.685315

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143

5.933333

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null

0

1

0

1

0

6

d724c935aa1a0f202caf8256f479745fcdd20684

23

py

Python

vibora/headers/__init__.py

brettcannon/vibora

1933b631d4df62e7d748016f7463ab746d4695cc

[ "MIT" ]

6,238

2018-06-14T19:29:47.000Z

2022-03-29T21:42:03.000Z

vibora/headers/__init__.py

LL816/vibora

4cda888f89aec6bfb2541ee53548ae1bf50fbf1b

[ "MIT" ]

213

2018-06-13T20:13:59.000Z

2022-03-26T07:46:49.000Z

vibora/headers/__init__.py

LL816/vibora

4cda888f89aec6bfb2541ee53548ae1bf50fbf1b

[ "MIT" ]

422

2018-06-20T01:29:41.000Z

2022-02-27T16:45:29.000Z

from .headers import *

11.5

22

0.73913

3

23

5.666667

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0.173913

23

1

23

0.894737

0

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null

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1

0

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0

1

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6

d72d8a8775ebd4ca530985052eb4375ade157bf6

437

py

Python

tests/conftest.py

arielbello/sql-test-website

29361215e4147a3db0ff22bae8d67ac7cdf1aabe

[ "MIT" ]

null

tests/conftest.py

arielbello/sql-test-website

29361215e4147a3db0ff22bae8d67ac7cdf1aabe

[ "MIT" ]

null

tests/conftest.py

arielbello/sql-test-website

29361215e4147a3db0ff22bae8d67ac7cdf1aabe

[ "MIT" ]

null

from app.main import app import pytest @pytest.fixture def flask_app(): return app @pytest.fixture def client(): with app.test_client() as client: with app.app_context(): # context config pass yield client @pytest.fixture(scope="session") def valid_email(): return "test_user@sqltest.com" @pytest.fixture(scope="session") def invalid_email(): return "--; DROP * FROM User"

16.185185

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0.647597

56

437

4.946429

0.464286

0.187726

0.115523

0.180505

0.202166

0

0.237986

437

26

38

16.807692

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0.032037

0

0.235294

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true

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null

0

1

0

1

0

6

d73536832af358998d772263830884f96ae53e63

223

py

Python

app/common/song_metadata/__init__.py

Mai-icy/I-Music-Player

92f2d886a2c15a2c000b6f618d3123f7c365534d

[ "MIT" ]

1

2022-01-03T09:21:18.000Z

app/common/song_metadata/__init__.py

Mai-icy/I-Music-Player

92f2d886a2c15a2c000b6f618d3123f7c365534d

[ "MIT" ]

null

app/common/song_metadata/__init__.py

Mai-icy/I-Music-Player

92f2d886a2c15a2c000b6f618d3123f7c365534d

[ "MIT" ]

null

from .read_song_metadata import get_song_metadata, get_album_buffer, get_md5 from .write_song_metadata import write_mp3_metadata, write_flac_metadata, update_md5_to_file from .compare_song_metadata import compare_song_info

55.75

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6

d777e33b899ef94e40b40bb2c7f2c92db54e3d38

147

py

Python

python_base/panduan.py

semoren/learn_python

d3140c3d4cb2bdb674d9c072c4195ebcfe686be3

[ "Apache-2.0" ]

null

python_base/panduan.py

semoren/learn_python

d3140c3d4cb2bdb674d9c072c4195ebcfe686be3

[ "Apache-2.0" ]

null

python_base/panduan.py

semoren/learn_python

d3140c3d4cb2bdb674d9c072c4195ebcfe686be3

[ "Apache-2.0" ]

null

# 条件判断 age = input() if int(age) >= 18: print('your age is', age) print('adult') else: print('your age is', age) print('teenager')

16.333333

29

0.564626

22

147

3.772727

0.545455

0.216867

0.289157

0.337349

0.53012

0

0.018018

0.244898

147

9

30

16.333333

0.72973

0.027211

0

0.285714

0

0.246479

0

1

0

false

0

0.571429

1

0

null

1

0

1

0

null

0

1

0

6

ad23943470b6077c3d6f53ecf9baa85a2c32fb20

25

py

Python

reservoirpy/pvtpy/__init__.py

scuervo91/reservoirpy

a4db620baf3ff66a85c7f61b1919713a8642e6fc

[ "MIT" ]

16

2020-05-07T01:57:04.000Z

2021-11-27T12:45:59.000Z

reservoirpy/pvtpy/__init__.py

scuervo91/reservoirpy

a4db620baf3ff66a85c7f61b1919713a8642e6fc

[ "MIT" ]

null

reservoirpy/pvtpy/__init__.py

scuervo91/reservoirpy

a4db620baf3ff66a85c7f61b1919713a8642e6fc

[ "MIT" ]

5

2020-05-12T07:28:24.000Z

2021-12-10T21:24:59.000Z

from . import black_oil

8.333333

23

0.76

4

25

4.5

1

0

0.2

25

2

24

12.5

0.9

0

1

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0

1

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1

0

1

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null

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null

0

1

0

1

0

1

0

6

ad31bf5cd4ae6a87c15c732b62ca26ddc53ef278

123

py

Python

python/domain/quality_plan/content/__init__.py

ICTU/document-as-code

e65fddb94513e7c2f54f248b4ce69e9e10ce42f5

[ "Apache-2.0" ]

2

2021-01-09T17:00:51.000Z

2021-02-19T09:35:26.000Z

python/domain/quality_plan/content/__init__.py

ICTU/document-as-code

e65fddb94513e7c2f54f248b4ce69e9e10ce42f5

[ "Apache-2.0" ]

null

python/domain/quality_plan/content/__init__.py

ICTU/document-as-code

e65fddb94513e7c2f54f248b4ce69e9e10ce42f5

[ "Apache-2.0" ]

1

2020-02-24T15:50:05.000Z

from .deliverables import * from .measures import * from .requirements import * from .sources import * from .text import *

20.5

27

0.756098

15

123

6.2

0.466667

0.430108

0

0.162602

123

5

28

24.6

0.902913

0

1

0

true

0

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1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

6

ad32503eb3215ae17c6b2e365cd92eca487d4c23

46

py

Python

source/writeproperties/__init__.py

luciebakels/gadgetanalyse

63b80b5306ebc4a1fbfd9cfbe3608ca10b8a19a3

[ "MIT" ]

null

source/writeproperties/__init__.py

luciebakels/gadgetanalyse

63b80b5306ebc4a1fbfd9cfbe3608ca10b8a19a3

[ "MIT" ]

null

source/writeproperties/__init__.py

luciebakels/gadgetanalyse

63b80b5306ebc4a1fbfd9cfbe3608ca10b8a19a3

[ "MIT" ]

null

from writeproperties.writeproperties import *

23

45

0.869565

4

46

10

0.75

0

0.086957

46

1

46

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

ad58832f9171063449bf521f90fbba3c7b8b2ecc

5,565

py

Python

src/titles.py

Zachary-Daum/2020-bioinformatics-hackathon

31ae1afe57b07b1898c2cc8b52bd73a847687c4f

[ "MIT" ]

1

2020-11-04T02:54:47.000Z

src/titles.py

Zachary-Daum/2020-bioinformatics-hackathon

31ae1afe57b07b1898c2cc8b52bd73a847687c4f

[ "MIT" ]

2

2020-04-25T04:51:05.000Z

2020-04-29T12:45:39.000Z

src/titles.py

Zachary-Daum/2020-bioinformatics-hackathon

31ae1afe57b07b1898c2cc8b52bd73a847687c4f

[ "MIT" ]

null

import nltk from nltk import pos_tag from nltk import RegexpParser from nltk.corpus import state_union from nltk.tokenize import PunktSentenceTokenizer import numpy as np import matplotlib import matplotlib.pyplot as plt train_text = state_union.raw("2005-GWBush.txt") custom_sent_tokenizer = PunktSentenceTokenizer(train_text) def between(value, a, b): # Find and validate before-part. pos_a = value.find(a) if pos_a == -1: return "" # Find and validate after part. pos_b = value.rfind(b) if pos_b == -1: return "" # Return middle part. adjusted_pos_a = pos_a + len(a) if adjusted_pos_a >= pos_b: return "" return value[adjusted_pos_a:pos_b] #create file names to draw data from with open('data/fake_pmids.txt', 'r') as fakeid: fakeid = fakeid.readlines() fakeid = ''.join(fakeid).replace("PMID:","") idlist = fakeid.splitlines() #by here each PMID is its own item in the list n = 0 VBlist = [] VBZlist = [] NNlist = [] JJlist = [] INlist = [] JJperNN = [] SLenList = [] NNWlist = [] while ( n <= 421): workingid = idlist[n] workingfile = "data/fakes/{}.txt" currentfile = workingfile.format(workingid) with open (currentfile, 'rt') as file: data = file.read().splitlines() temp = ''.join(data) title = between(temp,'title { name "','." }, authors {') #find sentence length sent_len = (len(title.split())) abstract = between(temp,'abstract "','.", mesh {') #PoS Tagging tokenizedtitle = custom_sent_tokenizer.tokenize(title) def process_content(): for i in tokenizedtitle: words = nltk.word_tokenize(i) tagged = nltk.pos_tag(words) #process title temp = str(tagged).strip('[]') #count verbs process_content.VBCount = temp.count('VB') #count VBZ process_content.VBZCount = temp.count('VBZ') #count NN process_content.NNCount = temp.count('NN') #count JJ process_content.JJCount = temp.count('JJ') #count IN process_content.INCount = temp.count('IN') #count JJ/NN if process_content.NNCount == 0: process_content.JJperNN = 0 else: process_content.JJperNN = process_content.JJCount / process_content.NNCount process_content() VBlist.append(process_content.VBCount) JJperNN.append(process_content.JJperNN) #calc NN per S NNperW = process_content.NNCount / sent_len #append NN per S NNWlist.append(NNperW) n = n+1 ####Plot fake data plt.scatter( x = NNWlist, y = JJperNN, c = 'red') #analyze real data to compare with open('data/rand_pmids.txt', 'r') as fakeid: fakeid = fakeid.readlines() fakeid = ''.join(fakeid).replace("PMID:","") idlist = fakeid.splitlines() #by here each PMID is its own item in the list n = 0 VBlist = [] VBZlist = [] NNlist = [] JJlist = [] INlist = [] JJperNN = [] SLenList = [] NNWlist = [] while ( n <= 140): workingid = idlist[n] workingfile = "data/rand/{}.txt" currentfile = workingfile.format(workingid) with open (currentfile, 'rt') as file: data = file.read().splitlines() temp = ''.join(data) title = between(temp,'title { name "','." }, authors {') #find sentence length sent_len = (len(title.split())) abstract = between(temp,'abstract "','.", mesh {') #PoS Tagging tokenizedtitle = custom_sent_tokenizer.tokenize(title) def process_content(): for i in tokenizedtitle: words = nltk.word_tokenize(i) tagged = nltk.pos_tag(words) #process title temp = str(tagged).strip('[]') print(temp) #count verbs process_content.VBCount = temp.count('VB') #count VBZ process_content.VBZCount = temp.count('VBZ') #count NN process_content.NNCount = temp.count('NN') #count JJ process_content.JJCount = temp.count('JJ') #count IN process_content.INCount = temp.count('IN') #count JJ/NN if process_content.NNCount == 0: process_content.JJperNN = 0 else: process_content.JJperNN = process_content.JJCount / process_content.NNCount process_content() JJperNN.append(process_content.JJperNN) #calc NN per S NNperW = process_content.NNCount / sent_len #append NN per S NNWlist.append(NNperW) n = n+1 #plot everything plt.scatter( x = NNWlist, y = JJperNN, c = 'blue') plt.xlabel('Nouns per Word') plt.ylabel('Adjectives per Noun') plt.show()

36.372549

99

0.519137

572

5,565

4.940559

0.258741

0.143666

0.059448

0.015924

0.762916

0.729653

0.710545

0

0.005775

0.377718

5,565

152

100

36.611842

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false

0

0.072072

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null

0

1

0

1

0

null

0

6

ad60c13491545de9f7bb653d3b1b30cebe3f41c6

5,873

py

Python

tests/test_builder.py

dusktreader/sphinx-view

ad877834c4cf9235a6249628907a73d569ff051a

[ "MIT" ]

3

2017-11-29T13:39:25.000Z

2020-06-20T10:23:29.000Z

tests/test_builder.py

dusktreader/sphinx-view

ad877834c4cf9235a6249628907a73d569ff051a

[ "MIT" ]

24

2016-12-11T18:01:02.000Z

2021-09-30T16:39:36.000Z

tests/test_builder.py

dusktreader/sphinx-view

ad877834c4cf9235a6249628907a73d569ff051a

[ "MIT" ]

5

2017-03-05T03:33:39.000Z

2020-04-25T00:15:17.000Z

import os import sys from sview.builder import Builder class TestBuilder: def test_init_for_single(self, tmpdir, find_data_file): config = { "WORKING_DIR": str(tmpdir), "TARGET": find_data_file("single.rst"), } builder = Builder(**config) assert builder is not None assert builder.working_dir == str(tmpdir) assert builder.target == find_data_file("single.rst") assert builder.src_dir == os.path.join(str(tmpdir), "src") assert builder.build_dir == os.path.join(str(tmpdir), "build") def test_init_for_dir(self, tmpdir, find_data_file): config = { "WORKING_DIR": str(tmpdir), "TARGET": find_data_file("directory"), } builder = Builder(**config) assert builder is not None assert builder.working_dir == str(tmpdir) assert builder.target == find_data_file("directory") assert builder.src_dir == os.path.join(str(tmpdir), "src") assert builder.build_dir == os.path.join(str(tmpdir), "build") def test_init_for_package(self, tmpdir, find_data_file): target = find_data_file("package") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, "PACKAGE": True, "PACKAGE_DOCS": "docs", } builder = Builder(**config) assert builder is not None assert builder.working_dir == str(tmpdir) assert builder.target == os.path.join(target, "docs") assert builder.build_dir == os.path.join(str(tmpdir), "build") assert os.path.exists(os.path.join(str(tmpdir), "env")) assert sys.prefix == os.path.join(str(tmpdir), "env") def test_copy_dir(self, tmpdir, find_data_file): target = find_data_file("package") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, "PACKAGE": True, "PACKAGE_DOCS": "docs", } builder = Builder(**config) builder.remake_dirs() builder.copy_dir() assert os.path.exists(os.path.join(str(tmpdir), "src", "index.rst")) def test_copy_file(self, tmpdir, find_data_file): target = find_data_file("single.rst") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, } builder = Builder(**config) builder.remake_dirs() builder.copy_file() final_path = os.path.join(str(tmpdir), "src", "index.rst") assert os.path.exists(final_path) with open(target) as original_file: with open(final_path) as final_file: assert original_file.read() == final_file.read() def test_copy_literal_includes(self, tmpdir, find_data_file): target = find_data_file("package") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, "PACKAGE": True, "PACKAGE_DOCS": "docs", } builder = Builder(**config) builder.remake_dirs() builder.copy_dir() builder.copy_literal_includes() assert os.path.exists(os.path.join(str(tmpdir), "src", "dummy.py")) final_path = os.path.join(str(tmpdir), "src", "index.rst") with open(final_path) as final_file: assert ".. literalinclude:: dummy.py" in final_file.read() def test_fetch_ext_from_index(self, tmpdir, find_data_file): target = find_data_file("single.rst") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, } builder = Builder(**config) builder.remake_dirs() builder.copy_file() assert builder.fetch_ext_from_index() == ".rst" target = find_data_file("single.md") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, } builder = Builder(**config) builder.remake_dirs() builder.copy_file() assert builder.fetch_ext_from_index() == ".md" def test_build_conf_file(self, tmpdir, find_data_file): target = find_data_file("single.rst") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, } builder = Builder(**config) builder.remake_dirs() builder.copy_file() builder.build_conf_file() final_path = os.path.join(str(tmpdir), "src", "conf.py") with open(final_path) as final_file: assert "source_suffix = '.rst'" in final_file.read() def test_build_single(self, tmpdir, find_data_file): target = find_data_file("single.rst") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, } builder = Builder(**config) builder.build() final_path = os.path.join(str(tmpdir), "build", "index.html") assert os.path.exists(final_path) def test_build_directory(self, tmpdir, find_data_file): config = { "WORKING_DIR": str(tmpdir), "TARGET": find_data_file("directory"), } builder = Builder(**config) builder.build() final_path = os.path.join(str(tmpdir), "build", "index.html") assert os.path.exists(final_path) def test_build_package(self, tmpdir, find_data_file): target = find_data_file("package") config = { "WORKING_DIR": str(tmpdir), "TARGET": target, "PACKAGE": True, "PACKAGE_DOCS": "docs", } builder = Builder(**config) builder.build() build_dir = os.path.join(str(tmpdir), "build") assert os.path.exists(os.path.join(build_dir, "index.html")) assert os.path.exists(os.path.join(build_dir, "modules.html")) assert os.path.exists(os.path.join(build_dir, "svdummy.html"))

34.958333

76

0.581985

689

5,873

4.744557

0.092888

0.082594

0.091771

0.087183

0.89018

0.872438

0.830529

0.79688

0.780973

0

0.287076

5,873

167

77

35.167665

0.78075

0

0.668919

0

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0

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1

0.074324

false

0

0.02027

0

0.101351

0

null

0

1

0

null

0

6

ad78bf9db59f447105067116f9d4a962fdd70b18

446

py

Python

recognizer/pddl/state.py

RukNdf/MA-Landmark

4038ebe7edc9e353e1987479f5f9edc528a4bd2a

[ "Unlicense" ]

null

recognizer/pddl/state.py

RukNdf/MA-Landmark

4038ebe7edc9e353e1987479f5f9edc528a4bd2a

[ "Unlicense" ]

null

recognizer/pddl/state.py

RukNdf/MA-Landmark

4038ebe7edc9e353e1987479f5f9edc528a4bd2a

[ "Unlicense" ]

null

# ----------------------------------------------- # Applicable # ----------------------------------------------- def applicable(state, positive, negative): return positive.issubset(state) and not negative.intersection(state) # ----------------------------------------------- # Apply # ----------------------------------------------- def apply(state, positive, negative): return frozenset(state.difference(negative).union(positive))

26.235294

72

0.419283

28

446

6.678571

0.5

0.139037

0.224599

0.28877

0

0.091928

446

16

73

27.875

0.461728

0.466368

0

1

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false

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1

0

1

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null

0

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1

0

null

0

1

0

1

0

6

ad8944ac723600ec12c5c0b8cf19ea2c38139159

3,449

py

Python

PasswordGenerator/password_generator.py

Unbewohnte/Password-Generator-site

7b331d6f1b5335cea872666b6d22636990159d49

[ "MIT" ]

null

PasswordGenerator/password_generator.py

Unbewohnte/Password-Generator-site

7b331d6f1b5335cea872666b6d22636990159d49

[ "MIT" ]

null

PasswordGenerator/password_generator.py

Unbewohnte/Password-Generator-site

7b331d6f1b5335cea872666b6d22636990159d49

[ "MIT" ]

null

import random import string digits = list(string.digits*10 + string.ascii_lowercase*10) uppercase = list(string.ascii_uppercase + string.ascii_lowercase)*30 lowercase = list(string.ascii_lowercase)*30 punct = list(string.ascii_lowercase*10 + string.punctuation*5) upp_dig = list(string.digits*10 + string.ascii_lowercase*10 + string.ascii_uppercase*10) upp_dig_pun = list(string.digits*10 + string.ascii_lowercase*10 + string.ascii_uppercase*10 + string.punctuation*5) digits_pun = list(string.ascii_lowercase*10 + string.digits*10 + string.punctuation*5) upp_pun = list(string.ascii_lowercase*10 + string.ascii_uppercase*10 +string.punctuation*5) #Yeah, spaghetti code, but couldn`t come up with a better idea def generate(LEN,flags=None,how_many=None): passwords = [] U,D,P = None,None,None for flag_dict in flags: if flag_dict['checkbox'] == 'Upper_reg' and flag_dict['value'] == 'y': U = True elif flag_dict['checkbox'] == 'Digits' and flag_dict['value'] == 'y': D = True elif flag_dict['checkbox'] == 'Punctuation' and flag_dict['value'] == 'y': P = True if U == None and D == None and P == None: for password in range(int(how_many)): password = random.sample(lowercase ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords elif U == True and D == None and P == None: for password in range(int(how_many)): password = random.sample(uppercase ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords elif U == None and D == True and P == None: for password in range(int(how_many)): password = random.sample(digits ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords elif U == None and D == None and P == True: for password in range(int(how_many)): password = random.sample(punct ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords elif U == True and D == True and P == None: for password in range(int(how_many)): password = random.sample(upp_dig ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords elif U == None and D == True and P == True: for password in range(int(how_many)): password = random.sample(digits_pun ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords elif U == True and D == None and P == True: for password in range(int(how_many)): password = random.sample(upp_pun ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords elif U == True and D == True and P == True: for password in range(int(how_many)): password = random.sample(upp_dig_pun ,int(LEN)) password = ''.join(password) passwords.append(password) return passwords else: print("Error!")

40.576471

116

0.575239

413

3,449

4.709443

0.150121

0.067866

0.082262

0.074036

0.813882

0.743445

0.726992

0.702828

0.682262

0

0.014388

0.314874

3,449

84

117

41.059524

0.808718

0.017686

0

0.457143

0

0.022404

0

1

0.014286

false

0.585714

0.028571

0

0.157143

0.014286

0

null

0

1

0

1

0

null

0

1

0

6

a8e89dc3ba0a767a8548b026ffc73127894e2e30

38,858

py

Python

test/test_lca.py

MichaelTeti/lca-pytorch

702ad3caba159390f4a031a3386587ff0cb79d12

[ "MIT" ]

null

test/test_lca.py

MichaelTeti/lca-pytorch

702ad3caba159390f4a031a3386587ff0cb79d12

[ "MIT" ]

7

2022-03-13T21:42:36.000Z

2022-03-29T22:51:23.000Z

test/test_lca.py

MichaelTeti/lca-pytorch

702ad3caba159390f4a031a3386587ff0cb79d12

[ "MIT" ]

null

from tempfile import TemporaryDirectory import unittest import torch from torch.testing import assert_close from lcapt.lca import LCAConv1D, LCAConv2D, LCAConv3D class TestLCA(unittest.TestCase): def test_LCAConv1D_to_correct_input_shape_raises_ValueError(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir) inputs_4d = torch.zeros(1, 3, 10, 10) with self.assertRaises(ValueError): lca._to_correct_input_shape(inputs_4d) def test_LCAConv2D_to_correct_input_shape_raises_ValueError(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir) inputs_3d = torch.zeros(1, 3, 10) with self.assertRaises(ValueError): lca._to_correct_input_shape(inputs_3d) def test_LCAConv3D_to_correct_input_shape_raises_ValueError(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir) inputs_4d = torch.zeros(1, 3, 10, 10) with self.assertRaises(ValueError): lca._to_correct_input_shape(inputs_4d) def test_LCAConv1D_get_weights_returns_correct_shape(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5) weights = lca.get_weights() self.assertTrue(len(weights.shape) == 3) self.assertTupleEqual(weights.numpy().shape, (10, 3, 5)) def test_LCAConv2D_get_weights_returns_correct_shape(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7) weights = lca.get_weights() self.assertTrue(len(weights.shape) == 4) self.assertTupleEqual(weights.numpy().shape, (10, 3, 5, 7)) def test_LCAConv3D_get_weights_returns_correct_shape(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9) weights = lca.get_weights() self.assertTrue(len(weights.shape) == 5) self.assertTupleEqual(weights.numpy().shape, (10, 3, 9, 5, 7)) def test_LCAConv1D_assign_weight_values(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5) new_weights = torch.randn(10, 3, 5) lca.assign_weight_values(new_weights) assert_close(new_weights, lca.get_weights(), rtol=0, atol=0) def test_LCAConv2D_assign_weight_values(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7) new_weights = torch.randn(10, 3, 5, 7) lca.assign_weight_values(new_weights) assert_close(new_weights, lca.get_weights(), rtol=0, atol=0) def test_LCAConv3D_assign_weight_values(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9) new_weights = torch.randn(10, 3, 9, 5, 7) lca.assign_weight_values(new_weights) assert_close(new_weights, lca.get_weights(), rtol=0, atol=0) def test_LCAConv1D_normalize_weights(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5) new_weights = torch.rand(10, 3, 5) * 10 + 10 lca.assign_weight_values(new_weights) lca.normalize_weights() for feat in lca.get_weights(): self.assertAlmostEqual(feat.norm(2).item(), 1.0, 4) def test_LCAConv2D_normalize_weights(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7) new_weights = torch.rand(10, 3, 5, 7) * 10 + 10 lca.assign_weight_values(new_weights) lca.normalize_weights() for feat in lca.get_weights(): self.assertAlmostEqual(feat.norm(2).item(), 1.0, 4) def test_LCAConv3D_normalize_weights(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9) new_weights = torch.rand(10, 3, 9, 5, 7) * 10 + 10 lca.assign_weight_values(new_weights) lca.normalize_weights() for feat in lca.get_weights(): self.assertAlmostEqual(feat.norm(2).item(), 1.0, 4) def test_LCAConv1D_initial_weights_are_normalized(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=25) for feat in lca.get_weights(): self.assertAlmostEqual(feat.norm(2).item(), 1.0, 4) def test_LCAConv2D_initial_weights_are_normalized(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7) for feat in lca.get_weights(): self.assertAlmostEqual(feat.norm(2).item(), 1.0, 4) def test_LCAConv3D_initial_weights_are_normalized(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9) for feat in lca.get_weights(): self.assertAlmostEqual(feat.norm(2).item(), 1.0, 4) def test_compute_input_pad_raises_ValueError(self): with TemporaryDirectory() as tmp_dir: with self.assertRaises(ValueError): lca = LCAConv2D(10, 3, tmp_dir, 5, 7, pad="weird_padding") def test_LCAConv1D_input_padding_shape_same_padding(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5) self.assertTupleEqual(lca.input_pad, (2, 0, 0)) def test_LCAConv2D_input_padding_shape_same_padding(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7) self.assertTupleEqual(lca.input_pad, (0, 2, 3)) def test_LCAConv3D_input_padding_shape_same_padding(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9) self.assertTupleEqual(lca.input_pad, (4, 2, 3)) def test_LCAConv1D_input_padding_shape_valid_padding(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5, pad="valid") self.assertTupleEqual(lca.input_pad, (0, 0, 0)) def test_LCAConv2D_input_padding_shape_valid_padding(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, pad="valid") self.assertTupleEqual(lca.input_pad, (0, 0, 0)) def test_LCAConv3D_input_padding_shape_valid_padding(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9, pad="valid") self.assertTupleEqual(lca.input_pad, (0, 0, 0)) def test_LCAConv1D_code_shape_stride_1_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5, lca_iters=3) inputs = torch.randn(1, 3, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 100)) def test_LCAConv2D_code_shape_stride_1_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, lca_iters=3) inputs = torch.randn(1, 3, 100, 99) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 100, 99)) def test_LCAConv3D_code_shape_stride_1_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9, lca_iters=3) inputs = torch.randn(1, 3, 8, 100, 101) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 8, 100, 101)) def test_LCAConv1D_code_shape_stride_2_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5, lca_iters=3, stride_t=2) inputs = torch.randn(1, 3, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 50)) def test_LCAConv2D_code_shape_stride_2_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, lca_iters=3, stride_h=2, stride_w=2) inputs = torch.randn(1, 3, 100, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 50, 50)) def test_LCAConv3D_code_shape_stride_2_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 3, tmp_dir, 5, 7, 9, lca_iters=3, stride_h=2, stride_w=2, stride_t=2 ) inputs = torch.randn(1, 3, 8, 100, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 4, 50, 50)) def test_LCAConv1D_code_shape_stride_4_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5, lca_iters=3, stride_t=4) inputs = torch.randn(1, 3, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 25)) def test_LCAConv2D_code_shape_stride_4_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, lca_iters=3, stride_h=4, stride_w=4) inputs = torch.randn(1, 3, 100, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 25, 25)) def test_LCAConv3D_code_shape_stride_4_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 3, tmp_dir, 5, 7, 9, lca_iters=3, stride_h=4, stride_w=4, stride_t=4 ) inputs = torch.randn(1, 3, 8, 100, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 2, 25, 25)) def test_LCAConv1D_recon_shape_stride_1_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, kt=5, lca_iters=3, return_all=True) inputs = torch.randn(1, 3, 100) recon = lca(inputs)[1] assert_close(recon[..., -1].shape, inputs.shape, rtol=0, atol=0) def test_LCAConv2D_recon_shape_stride_1_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, lca_iters=3, return_all=True) inputs = torch.randn(1, 3, 100, 100) recon = lca(inputs)[1] assert_close(inputs.shape, recon[..., -1].shape, rtol=0, atol=0) def test_LCAConv3D_recon_shape_stride_1_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, 9, lca_iters=3, return_all=True) inputs = torch.randn(1, 3, 8, 100, 100) recon = lca(inputs)[1] assert_close(inputs.shape, recon[..., -1].shape, rtol=0, atol=0) def test_LCAConv1D_recon_shape_stride_2_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, 5, 2, lca_iters=3, return_all=True) inputs = torch.randn(1, 3, 100) recon = lca(inputs)[1] assert_close(recon[..., -1].shape, inputs.shape, rtol=0, atol=0) def test_LCAConv2D_recon_shape_stride_2_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, 2, 2, lca_iters=3, return_all=True) inputs = torch.randn(1, 3, 100, 100) recon = lca(inputs)[1] assert_close(inputs.shape, recon[..., -1].shape, rtol=0, atol=0) def test_LCAConv3D_recon_shape_stride_2_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 3, tmp_dir, 5, 7, 9, 2, 2, 2, lca_iters=3, return_all=True ) inputs = torch.randn(1, 3, 8, 100, 100) recon = lca(inputs)[1] assert_close(inputs.shape, recon[..., -1].shape, rtol=0, atol=0) def test_LCAConv1D_recon_shape_stride_4_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, 5, 4, lca_iters=3, return_all=True) inputs = torch.randn(1, 3, 100) recon = lca(inputs)[1] assert_close(recon[..., -1].shape, inputs.shape, rtol=0, atol=0) def test_LCAConv2D_recon_shape_stride_4_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, 4, 4, lca_iters=3, return_all=True) inputs = torch.randn(1, 3, 100, 100) recon = lca(inputs)[1] assert_close(inputs.shape, recon[..., -1].shape, rtol=0, atol=0) def test_LCAConv3D_recon_shape_stride_4_pad_same(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 3, tmp_dir, 5, 7, 9, 4, 4, 4, lca_iters=3, return_all=True ) inputs = torch.randn(1, 3, 8, 100, 100) recon = lca(inputs)[1] assert_close(inputs.shape, recon[..., -1].shape, rtol=0, atol=0) def test_LCAConv1D_recon_shape_stride_1_pad_valid(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D( 10, 3, tmp_dir, 100, pad="valid", lca_iters=3, return_all=True ) inputs = torch.randn(1, 3, 100) recon = lca(inputs)[1] self.assertTupleEqual(recon[..., -1].numpy().shape, (1, 3, 100)) def test_LCAConv2D_recon_shape_stride_1_pad_valid(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D( 10, 3, tmp_dir, 100, 100, lca_iters=3, return_all=True, pad="valid" ) inputs = torch.randn(1, 3, 100, 100) recon = lca(inputs)[1] self.assertTupleEqual(recon[..., -1].numpy().shape, (1, 3, 100, 100)) def test_LCAConv3D_recon_shape_stride_1_pad_valid(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 3, tmp_dir, 20, 20, 4, pad="valid", lca_iters=3, return_all=True ) inputs = torch.randn(1, 3, 4, 20, 20) recon = lca(inputs)[1] self.assertTupleEqual(recon[..., -1].numpy().shape, (1, 3, 4, 20, 20)) def test_LCAConv1D_code_shape_stride_1_pad_valid(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, 100, pad="valid", lca_iters=3) inputs = torch.randn(1, 3, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 1)) def test_LCAConv2D_code_shape_stride_1_pad_valid(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 100, 100, lca_iters=3, pad="valid") inputs = torch.randn(1, 3, 100, 100) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 1, 1)) def test_LCAConv3D_code_shape_stride_1_pad_valid(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 20, 20, 4, pad="valid", lca_iters=3) inputs = torch.randn(1, 3, 4, 20, 20) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 1, 1, 1)) def test_LCAConv3D_code_shape_no_time_pad(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 7, 7, 5, lca_iters=3, no_time_pad=True) inputs = torch.randn(1, 3, 5, 20, 20) code = lca(inputs) self.assertTupleEqual(code.numpy().shape, (1, 10, 1, 20, 20)) def test_LCAConv3D_recon_shape_no_time_pad(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 3, tmp_dir, 7, 7, 5, lca_iters=3, no_time_pad=True, return_all=True ) inputs = torch.randn(1, 3, 5, 20, 20) recon = lca(inputs)[1] self.assertTupleEqual(recon[..., -1].numpy().shape, inputs.numpy().shape) def test_LCAConv1D_gradient(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, 5, lca_iters=3, req_grad=True) inputs = torch.randn(1, 3, 100) with torch.no_grad(): code = lca(inputs) loss = code.sum() with self.assertRaises(RuntimeError): loss.backward() code = lca(inputs) loss = code.sum() loss.backward() def test_LCAConv2D_gradient(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 5, 7, lca_iters=3, req_grad=True) inputs = torch.randn(1, 3, 20, 20) with torch.no_grad(): code = lca(inputs) loss = code.sum() with self.assertRaises(RuntimeError): loss.backward() code = lca(inputs) loss = code.sum() loss.backward() def test_LCAConv3D_gradient(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 5, 7, lca_iters=3, req_grad=True) inputs = torch.randn(1, 3, 5, 20, 20) with torch.no_grad(): code = lca(inputs) loss = code.sum() with self.assertRaises(RuntimeError): loss.backward() code = lca(inputs) loss = code.sum() loss.backward() def test_LCAConv1D_code_feature_as_input(self): with TemporaryDirectory() as tmp_dir: for lambda_ in torch.arange(0.1, 1.0, 0.1): lca = LCAConv1D( 10, 3, tmp_dir, 100, pad="valid", input_norm=False, lambda_=lambda_ ) inputs = lca.get_weights()[0].unsqueeze(0) code = lca(inputs) code = code.squeeze() code = torch.sort(code, descending=True, stable=True)[0] self.assertEqual(torch.count_nonzero(code), 1) assert_close(code[0], code.max()) def test_LCAConv1D_recon_close_to_input_feature_as_input(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D( 10, 3, tmp_dir, 100, pad="valid", input_norm=False, lambda_=0.1, return_all=True, ) inputs = lca.get_weights()[0].unsqueeze(0) recon = lca(inputs)[1] mae = (inputs - recon[..., -1]).abs().mean().item() self.assertLess(mae, 5.5e-3) def test_LCAConv2D_code_feature_as_input(self): with TemporaryDirectory() as tmp_dir: for lambda_ in torch.arange(0.1, 1.0, 0.1): lca = LCAConv2D( 10, 3, tmp_dir, 10, 10, pad="valid", input_norm=False, lambda_=lambda_, ) inputs = lca.get_weights()[0].unsqueeze(0) code = lca(inputs) code = code.squeeze() code = torch.sort(code, descending=True, stable=True)[0] self.assertEqual(torch.count_nonzero(code), 1) assert_close(code[0], code.max()) def test_LCAConv2D_recon_close_to_input_feature_as_input(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D( 10, 3, tmp_dir, 10, 10, pad="valid", input_norm=False, lambda_=0.1, return_all=True, ) inputs = lca.get_weights()[0].unsqueeze(0) recon = lca(inputs)[1] mae = (inputs - recon[..., -1]).abs().mean().item() self.assertLess(mae, 5.5e-3) def test_LCAConv3D_code_feature_as_input(self): with TemporaryDirectory() as tmp_dir: for lambda_ in torch.arange(0.1, 1.0, 0.1): lca = LCAConv3D( 10, 3, tmp_dir, 10, 10, 10, pad="valid", input_norm=False, lambda_=lambda_, ) inputs = lca.get_weights()[0].unsqueeze(0) code = lca(inputs) code = code.squeeze() code = torch.sort(code, descending=True, stable=True)[0] self.assertTrue(torch.count_nonzero(code), 1) assert_close(code[0], code.max()) def test_LCAConv3D_recon_close_to_input_feature_as_input(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 3, tmp_dir, 10, 10, 10, pad="valid", input_norm=False, lambda_=0.1, return_all=True, ) inputs = lca.get_weights()[0].unsqueeze(0) recon = lca(inputs)[1] mae = (inputs - recon[..., -1]).abs().mean().item() self.assertLess(mae, 5.5e-3) def test_LCAConv1D_compute_lateral_connectivity_stride_1_odd_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(1, 50, 2): lca = LCAConv1D(15, 3, tmp_dir, ksize) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, 0].numpy().shape, (15, 15, ksize * 2 - 1) ) def test_LCAConv1D_compute_lateral_connectivity_stride_1_even_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(2, 52, 2): lca = LCAConv1D(15, 3, tmp_dir, ksize, pad="valid") conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, 0].numpy().shape, (15, 15, ksize * 2 - 1) ) def test_LCAConv1D_compute_lateral_connectivity_stride_2_odd_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(1, 50, 2): lca = LCAConv1D(15, 3, tmp_dir, ksize, 2) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual(conns[..., 0, 0].numpy().shape, (15, 15, ksize)) def test_LCAConv1D_compute_lateral_connectivity_stride_2_even_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(2, 52, 2): lca = LCAConv1D(15, 3, tmp_dir, ksize, 2, pad="valid") conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual(conns[..., 0, 0].numpy().shape, (15, 15, ksize - 1)) def test_LCAConv1D_compute_lateral_connectivity_odd_ksize_various_strides(self): with TemporaryDirectory() as tmp_dir: ksize = 7 for stride, exp_size in zip(range(1, 8), [13, 7, 5, 3, 3, 3, 1]): lca = LCAConv1D(15, 3, tmp_dir, ksize, stride) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual(conns[..., 0, 0].numpy().shape, (15, 15, exp_size)) def test_LCAConv1D_compute_lateral_connectivity_even_ksize_various_strides(self): with TemporaryDirectory() as tmp_dir: ksize = 8 for stride, exp_size in zip(range(1, 9), [15, 7, 5, 3, 3, 3, 3, 1]): lca = LCAConv1D(15, 3, tmp_dir, ksize, stride, pad="valid") conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual(conns[..., 0, 0].numpy().shape, (15, 15, exp_size)) def test_LCAConv2D_compute_lateral_connectivity_stride_1_odd_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(1, 50, 2): ksize2 = ksize + 2 lca = LCAConv2D(15, 3, tmp_dir, ksize, ksize2) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, :, :].numpy().shape, (15, 15, ksize * 2 - 1, ksize2 * 2 - 1), ) def test_LCAConv2D_compute_lateral_connectivity_stride_1_even_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(2, 52, 2): ksize2 = ksize + 2 lca = LCAConv2D(15, 3, tmp_dir, ksize, ksize2, pad="valid") conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, :, :].numpy().shape, (15, 15, ksize * 2 - 1, ksize2 * 2 - 1), ) def test_LCAConv2D_compute_lateral_connectivity_stride_2_odd_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(1, 50, 2): ksize2 = ksize + 2 lca = LCAConv2D(15, 3, tmp_dir, ksize, ksize2, 2, 2) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, :, :].numpy().shape, (15, 15, ksize, ksize2) ) def test_LCAConv2D_compute_lateral_connectivity_stride_2_even_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(2, 52, 2): ksize2 = ksize + 2 lca = LCAConv2D(15, 3, tmp_dir, ksize, ksize2, 2, 2, pad="valid") conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, :, :].numpy().shape, (15, 15, ksize - 1, ksize2 - 1) ) def test_LCAConv2D_compute_lateral_connectivity_odd_ksize_various_strides(self): with TemporaryDirectory() as tmp_dir: ksize = 7 for stride, exp_size in zip(range(1, 8), [13, 7, 5, 3, 3, 3, 1]): lca = LCAConv2D(15, 3, tmp_dir, ksize, ksize, stride, stride) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, :, :].numpy().shape, (15, 15, exp_size, exp_size) ) def test_LCAConv2D_compute_lateral_connectivity_even_ksize_various_strides(self): with TemporaryDirectory() as tmp_dir: ksize = 8 for stride, exp_size in zip(range(1, 9), [15, 7, 5, 3, 3, 3, 3, 1]): lca = LCAConv2D( 15, 3, tmp_dir, ksize, ksize, stride, stride, pad="valid" ) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns[..., 0, :, :].numpy().shape, (15, 15, exp_size, exp_size) ) def test_LCAConv3D_compute_lateral_connectivity_stride_1_odd_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(1, 11, 2): ksize2 = ksize + 2 ksize3 = ksize + 4 lca = LCAConv3D(15, 3, tmp_dir, ksize, ksize2, ksize3) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns.numpy().shape, (15, 15, ksize3 * 2 - 1, ksize * 2 - 1, ksize2 * 2 - 1), ) def test_LCAConv3D_compute_lateral_connectivity_stride_1_even_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(2, 12, 2): ksize2 = ksize + 2 ksize3 = ksize + 4 lca = LCAConv3D(15, 3, tmp_dir, ksize, ksize2, ksize3, pad="valid") conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns.numpy().shape, (15, 15, ksize3 * 2 - 1, ksize * 2 - 1, ksize2 * 2 - 1), ) def test_LCAConv3D_compute_lateral_connectivity_stride_2_odd_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(1, 11, 2): ksize2 = ksize + 2 ksize3 = ksize + 4 lca = LCAConv3D(15, 3, tmp_dir, ksize, ksize2, ksize3, 2, 2, 2) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual(conns.numpy().shape, (15, 15, ksize3, ksize, ksize2)) def test_LCAConv3D_compute_lateral_connectivity_stride_2_even_ksize(self): with TemporaryDirectory() as tmp_dir: for ksize in range(2, 12, 2): ksize2 = ksize + 2 ksize3 = ksize + 4 lca = LCAConv3D( 15, 3, tmp_dir, ksize, ksize2, ksize3, 2, 2, 2, pad="valid" ) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns.numpy().shape, (15, 15, ksize3 - 1, ksize - 1, ksize2 - 1) ) def test_LCAConv3D_compute_lateral_connectivity_odd_ksize_various_strides(self): with TemporaryDirectory() as tmp_dir: ksize = 7 for stride, exp_size in zip(range(1, 8), [13, 7, 5, 3, 3, 3, 1]): lca = LCAConv3D( 15, 3, tmp_dir, ksize, ksize, ksize, stride, stride, stride ) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns.numpy().shape, (15, 15, exp_size, exp_size, exp_size) ) def test_LCAConv3D_compute_lateral_connectivity_even_ksize_various_strides(self): with TemporaryDirectory() as tmp_dir: ksize = 8 for stride, exp_size in zip(range(1, 9), [15, 7, 5, 3, 3, 3, 3, 1]): lca = LCAConv3D( 15, 3, tmp_dir, ksize, ksize, ksize, stride, stride, stride, pad="valid", ) conns = lca.compute_lateral_connectivity(lca.weights.detach()) self.assertEqual( conns.numpy().shape, (15, 15, exp_size, exp_size, exp_size) ) def test_LCAConv3D_no_time_pad(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 7, 7, 7) self.assertEqual(lca.input_pad[0], 3) lca = LCAConv3D(10, 3, tmp_dir, 7, 7, 7, no_time_pad=True) self.assertEqual(lca.input_pad[0], 0) def test_l1_norm_of_code_decreases_with_increasing_lambda(self): with TemporaryDirectory() as tmp_dir: l1_norms = [] for lambda_ in torch.arange(0.1, 1.0, 0.1): lca = LCAConv2D( 10, 3, tmp_dir, 10, 10, lambda_=lambda_, pad="valid", input_norm=False, ) inputs = lca.get_weights()[0].unsqueeze(0) code = lca(inputs) l1_norms.append(code.norm(1).item()) self.assertEqual(l1_norms, sorted(l1_norms, reverse=True)) def test_recon_error_increases_with_increasing_lambda(self): with TemporaryDirectory() as tmp_dir: errors = [] for lambda_ in torch.arange(0.1, 1.1, 0.1): lca = LCAConv2D( 10, 3, tmp_dir, 10, 10, lambda_=lambda_, pad="valid", input_norm=False, return_all=True, ) inputs = lca.get_weights()[0].unsqueeze(0) recon_error = lca(inputs)[2] errors.append(0.5 * recon_error[..., -1].norm(2) ** 2) self.assertEqual(errors, sorted(errors)) def test_inputs_equal_recon_error_plus_recon_LCAConv1D(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D( 10, 5, tmp_dir, 5, lca_iters=3, input_norm=False, return_all=True ) inputs = torch.randn(3, 5, 100) recon, recon_error = lca(inputs)[1:3] assert_close(inputs, recon_error[..., -1] + recon[..., -1]) def test_inputs_equal_recon_error_plus_recon_LCAConv2D(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D( 10, 5, tmp_dir, 5, 5, lca_iters=3, input_norm=False, return_all=True ) inputs = torch.randn(3, 5, 100, 100) recon, recon_error = lca(inputs)[1:3] assert_close(inputs, recon_error[..., -1] + recon[..., -1]) def test_inputs_equal_recon_error_plus_recon_LCAConv3D(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D( 10, 5, tmp_dir, 5, 5, 3, 2, 2, 1, lca_iters=3, input_norm=False, return_all=True, ) inputs = torch.randn(3, 5, 10, 100, 100) recon, recon_error = lca(inputs)[1:3] assert_close(inputs, recon_error[..., -1] + recon[..., -1]) def test_LCAConv2D_check_conv_params_raises_AssertionError_odd_even_ksizes(self): with TemporaryDirectory() as tmp_dir: for ksize1 in range(2, 12, 2): for ksize2 in range(3, 12, 2): with self.assertRaises(AssertionError): lca = LCAConv2D(10, 1, tmp_dir, ksize1, ksize2) def test_LCAConv3D_check_conv_params_raises_AssertionError_odd_even_ksizes(self): with TemporaryDirectory() as tmp_dir: for ksize1 in range(2, 12, 2): for ksize2 in range(3, 12, 2): for ksize3 in range(2, 12, 2): with self.assertRaises(AssertionError): lca = LCAConv3D(10, 1, tmp_dir, ksize1, ksize2, ksize3) def test_LCAConv1D_compute_inhib_pad_even_ksize(self): with TemporaryDirectory() as tmp_dir: ksize = 8 for stride, exp_size in zip(range(1, 9), [7, 6, 6, 4, 5, 6, 7, 0]): lca = LCAConv1D(10, 3, tmp_dir, ksize, stride, pad="valid") self.assertEqual(lca.lat_conn_pad[0], exp_size) def test_LCAConv1D_compute_inhib_pad_odd_ksize(self): with TemporaryDirectory() as tmp_dir: ksize = 9 for stride, exp_size in zip(range(1, 10), [8, 8, 6, 8, 5, 6, 7, 8, 0]): lca = LCAConv1D(10, 3, tmp_dir, ksize, stride, pad="valid") self.assertEqual(lca.lat_conn_pad[0], exp_size) def test_LCAConv2D_compute_inhib_pad_even_ksize(self): with TemporaryDirectory() as tmp_dir: ksize = 8 for stride, exp_size in zip(range(1, 9), [7, 6, 6, 4, 5, 6, 7, 0]): lca = LCAConv2D( 10, 3, tmp_dir, ksize, ksize, stride, stride, pad="valid" ) self.assertEqual(lca.lat_conn_pad[1:], (exp_size, exp_size)) def test_LCAConv2D_compute_inhib_pad_odd_ksize(self): with TemporaryDirectory() as tmp_dir: ksize = 9 for stride, exp_size in zip(range(1, 10), [8, 8, 6, 8, 5, 6, 7, 8, 0]): lca = LCAConv2D( 10, 3, tmp_dir, ksize, ksize, stride, stride, pad="valid" ) self.assertEqual(lca.lat_conn_pad[1:], (exp_size, exp_size)) def test_LCAConv3D_compute_inhib_pad_even_ksize(self): with TemporaryDirectory() as tmp_dir: ksize = 8 for stride, exp_size in zip(range(1, 9), [7, 6, 6, 4, 5, 6, 7, 0]): lca = LCAConv3D( 10, 3, tmp_dir, ksize, ksize, ksize, stride, stride, stride, pad="valid", ) self.assertEqual(lca.lat_conn_pad, (exp_size,) * 3) def test_LCAConv3D_compute_inhib_pad_odd_ksize(self): with TemporaryDirectory() as tmp_dir: ksize = 9 for stride, exp_size in zip(range(1, 10), [8, 8, 6, 8, 5, 6, 7, 8, 0]): lca = LCAConv3D( 10, 3, tmp_dir, ksize, ksize, ksize, stride, stride, stride, pad="valid", ) self.assertEqual(lca.lat_conn_pad, (exp_size,) * 3) def test_LCAConv1D_compute_inhib_pad_ksize_equal_1(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, 1) self.assertEqual(lca.lat_conn_pad, (0, 0, 0)) def test_LCAConv2D_compute_inhib_pad_ksize_equal_1(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 1, 1) self.assertEqual(lca.lat_conn_pad, (0, 0, 0)) def test_LCAConv3D_compute_inhib_pad_ksize_equal_1(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 1, 1, 1) self.assertEqual(lca.lat_conn_pad, (0, 0, 0)) def test_LCAConv1D_compute_lateral_connectivity_ksize_equal_1(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv1D(10, 3, tmp_dir, 1) conns = lca.compute_lateral_connectivity(lca.weights) self.assertEqual(conns.numpy().shape, (10, 10, 1, 1, 1)) def test_LCAConv2D_compute_lateral_connectivity_ksize_equal_1(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv2D(10, 3, tmp_dir, 1, 1) conns = lca.compute_lateral_connectivity(lca.weights) self.assertEqual(conns.numpy().shape, (10, 10, 1, 1, 1)) def test_LCAConv3D_compute_lateral_connectivity_ksize_equal_1(self): with TemporaryDirectory() as tmp_dir: lca = LCAConv3D(10, 3, tmp_dir, 1, 1, 1) conns = lca.compute_lateral_connectivity(lca.weights) self.assertEqual(conns.numpy().shape, (10, 10, 1, 1, 1)) if __name__ == "__main__": unittest.main()

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4,841

38,858

4.238381

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0.120382

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false

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0

null

0

1

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null

0

6

d171185f8777ee35a4cf795f4714d8c65b368cdf

2,156

py

Python

backend/tests/serializers/test_media_asset.py

druzhynin-oleksii/model_garden

3599f5d0c81bc79139ceabed5dd647c29ccadc31

[ "MIT" ]

8

2020-09-10T18:28:19.000Z

2022-02-22T03:41:14.000Z

backend/tests/serializers/test_media_asset.py

druzhynin-oleksii/model_garden

3599f5d0c81bc79139ceabed5dd647c29ccadc31

[ "MIT" ]

1

2020-09-15T21:20:29.000Z

backend/tests/serializers/test_media_asset.py

druzhynin-oleksii/model_garden

3599f5d0c81bc79139ceabed5dd647c29ccadc31

[ "MIT" ]

8

2020-09-10T16:29:35.000Z

2022-01-25T15:05:03.000Z

from tests import BaseTestCase from model_garden.constants import LabelingTaskStatus from model_garden.serializers import MediaAssetSerializer class TestMediaAssetSerializer(BaseTestCase): def test_serialize(self): media_asset = self.test_factory.create_media_asset() serializer = MediaAssetSerializer(media_asset) self.assertEqual( serializer.data, { 'dataset_id': media_asset.dataset.id, 'filename': media_asset.filename, 'remote_path': media_asset.remote_path, 'remote_label_path': None, 'labeling_task_name': None, }, ) def test_serialize_with_remote_label_path(self): labeling_task = self.test_factory.create_labeling_task(status=LabelingTaskStatus.SAVED) media_asset = self.test_factory.create_media_asset() media_asset.labeling_task = labeling_task media_asset.labeling_asset_filepath = media_asset.remote_label_path media_asset.save(update_fields=('labeling_task', 'labeling_asset_filepath')) serializer = MediaAssetSerializer(media_asset) self.assertEqual( serializer.data, { 'dataset_id': media_asset.dataset.id, 'filename': media_asset.filename, 'remote_path': media_asset.remote_path, 'remote_label_path': media_asset.labeling_asset_filepath, 'labeling_task_name': media_asset.labeling_task.name, }, ) def test_serialize_with_remote_label_path_null(self): labeling_task = self.test_factory.create_labeling_task(status=LabelingTaskStatus.SAVED) media_asset = self.test_factory.create_media_asset() media_asset.labeling_task = labeling_task media_asset.labeling_asset_filepath = None media_asset.save(update_fields=('labeling_task', 'labeling_asset_filepath')) serializer = MediaAssetSerializer(media_asset) self.assertEqual( serializer.data, { 'dataset_id': media_asset.dataset.id, 'filename': media_asset.filename, 'remote_path': media_asset.remote_path, 'remote_label_path': media_asset.labeling_asset_filepath, 'labeling_task_name': media_asset.labeling_task.name, }, )

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2,156

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92

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0.137255

0

null

0

1

0

null

0

6

0f033b7fa016a99c7f5dcbea6ea31f3765c30612

42

py

Python

zested/gui/__init__.py

Klafyvel/ZestEd

4b508aa750c8acf6c592a9a725e260aeff0e43f0

[ "BSD-2-Clause" ]

1

2016-01-27T17:44:27.000Z

zested/gui/__init__.py

Klafyvel/ZestEd

4b508aa750c8acf6c592a9a725e260aeff0e43f0

[ "BSD-2-Clause" ]

3

2017-12-06T13:23:32.000Z

2017-12-06T13:23:43.000Z

zested/gui/__init__.py

Luthaf/Zested

6731ddf50a44f94569528520395309037317f69b

[ "BSD-2-Clause" ]

null

from .editor import * from .main import *

14

21

0.714286

6

42

5

0.666667

0

0.190476

42

2

22

21

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true

0

1

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

6

0f3aa1e8783ed9701524a08556722c5b189a3575

7,347

py

Python

exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/messaging/rabbitmq/test_rabbitmq_user.py

tr3ck3r/linklight

5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7

[ "MIT" ]

null

exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/messaging/rabbitmq/test_rabbitmq_user.py

tr3ck3r/linklight

5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7

[ "MIT" ]

null

exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/messaging/rabbitmq/test_rabbitmq_user.py

tr3ck3r/linklight

5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7

[ "MIT" ]

null

# -*- coding: utf-8 -*- from ansible_collections.community.general.plugins.modules.messaging.rabbitmq import rabbitmq_user from ansible_collections.community.general.tests.unit.compat.mock import patch from ansible_collections.community.general.tests.unit.modules.utils import AnsibleExitJson, AnsibleFailJson, ModuleTestCase, set_module_args class TestRabbitMQUserModule(ModuleTestCase): def setUp(self): super(TestRabbitMQUserModule, self).setUp() self.module = rabbitmq_user def tearDown(self): super(TestRabbitMQUserModule, self).tearDown() def _assert(self, exc, attribute, expected_value, msg=""): value = exc.message[attribute] if hasattr(exc, attribute) else exc.args[0][attribute] assert value == expected_value, msg def test_without_required_parameters(self): """Failure must occurs when all parameters are missing""" with self.assertRaises(AnsibleFailJson): set_module_args({}) self.module.main() def test_permissions_with_same_vhost(self): set_module_args({ 'user': 'someuser', 'password': 'somepassword', 'state': 'present', 'permissions': [{'vhost': '/'}, {'vhost': '/'}], }) with patch('ansible.module_utils.basic.AnsibleModule.get_bin_path') as get_bin_path: get_bin_path.return_value = '/rabbitmqctl' try: self.module.main() except AnsibleFailJson as e: self._assert(e, 'failed', True) self._assert(e, 'msg', "Error parsing permissions: You can't have two permission dicts for the same vhost") @patch('ansible.module_utils.basic.AnsibleModule.get_bin_path') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.get') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.check_password') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.has_tags_modifications') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.has_permissions_modifications') def test_password_changes_only_when_needed(self, has_permissions_modifications, has_tags_modifications, check_password, get, get_bin_path): set_module_args({ 'user': 'someuser', 'password': 'somepassword', 'state': 'present', 'update_password': 'always', }) get.return_value = True get_bin_path.return_value = '/rabbitmqctl' check_password.return_value = True has_tags_modifications.return_value = False has_permissions_modifications.return_value = False try: self.module.main() except AnsibleExitJson as e: self._assert(e, 'changed', False) self._assert(e, 'state', 'present') @patch('ansible.module_utils.basic.AnsibleModule.get_bin_path') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser._exec') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser._get_permissions') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.has_tags_modifications') def test_same_permissions_not_changing(self, has_tags_modifications, _get_permissions, _exec, get_bin_path): set_module_args({ 'user': 'someuser', 'password': 'somepassword', 'state': 'present', 'permissions': [{'vhost': '/', 'configure_priv': '.*', 'write_priv': '.*', 'read_priv': '.*'}], }) _get_permissions.return_value = [{'vhost': '/', 'configure_priv': '.*', 'write_priv': '.*', 'read_priv': '.*'}] _exec.return_value = ['someuser\t[]'] get_bin_path.return_value = '/rabbitmqctl' has_tags_modifications.return_value = False try: self.module.main() except AnsibleExitJson as e: self._assert(e, 'changed', False) self._assert(e, 'state', 'present') @patch('ansible.module_utils.basic.AnsibleModule.get_bin_path') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser._exec') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser._get_permissions') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.set_permissions') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.has_tags_modifications') def test_permissions_are_fixed(self, has_tags_modifications, set_permissions, _get_permissions, _exec, get_bin_path): set_module_args({ 'user': 'someuser', 'password': 'somepassword', 'state': 'present', 'permissions': [{'vhost': '/', 'configure_priv': '.*', 'write_priv': '.*', 'read_priv': '.*'}], }) set_permissions.return_value = None _get_permissions.return_value = [] _exec.return_value = ['someuser\t[]'] get_bin_path.return_value = '/rabbitmqctl' has_tags_modifications.return_value = False try: self.module.main() except AnsibleExitJson as e: self._assert(e, 'changed', True) self._assert(e, 'state', 'present') assert set_permissions.call_count == 1 @patch('ansible.module_utils.basic.AnsibleModule.get_bin_path') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser._exec') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser._get_permissions') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.set_permissions') @patch('ansible_collections.community.general.plugins.modules.messaging.rabbitmq.rabbitmq_user.RabbitMqUser.has_tags_modifications') def test_permissions_are_fixed_with_different_host(self, has_tags_modifications, set_permissions, _get_permissions, _exec, get_bin_path): set_module_args({ 'user': 'someuser', 'password': 'somepassword', 'state': 'present', 'permissions': [{'vhost': '/', 'configure_priv': '.*', 'write_priv': '.*', 'read_priv': '.*'}], }) set_permissions.return_value = None _get_permissions.return_value = [{'vhost': 'monitoring', 'configure_priv': '.*', 'write_priv': '.*', 'read_priv': '.*'}] _exec.return_value = ['someuser\t[]'] get_bin_path.return_value = '/rabbitmqctl' has_tags_modifications.return_value = False try: self.module.main() except AnsibleExitJson as e: self._assert(e, 'changed', True) self._assert(e, 'state', 'present') assert set_permissions.call_count == 1

54.422222

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765

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6.194771

0.152941

0.050644

0.102553

0.129141

0.783921

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0.726947

0.713231

0.702469

0

0.000681

0.200898

7,347

134

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54.828358

0.806507

0.010072

0

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0

0.383239

0.274116

0

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0.07438

false

0.082645

0.024793

0

0.107438

0

null

0

1

0

null

0

1

0

6

7e3a338ef49f0143bb51b37cb7087fb1b187a54e

17

py

Python

mklaren/util/__init__.py

tkemps/mklaren

d9e7890aaa26cb3877e1a82114ab1e52df595d96

[ "BSD-2-Clause" ]

3

2019-10-28T17:20:37.000Z

2020-08-20T22:59:18.000Z

mklaren/util/__init__.py

tkemps/mklaren

d9e7890aaa26cb3877e1a82114ab1e52df595d96

[ "BSD-2-Clause" ]

null

mklaren/util/__init__.py

tkemps/mklaren

d9e7890aaa26cb3877e1a82114ab1e52df595d96

[ "BSD-2-Clause" ]

1

2019-10-28T17:20:35.000Z

from .la import *

17

0.705882

3

17

4

1

0

0.176471

17

1

17

0.857143

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6