xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

a8752ed9d6237cde12a79f2708c866fd7656df0e

70

py

Python

ObjectModeling/SnakeAndLadder/SankeAndLadder/Snake.py

riyasyash/CompetitiveProgramming

9cb5c71a2b4297fa8681f0e380ee7a7bb3ee5b5e

[ "Apache-2.0" ]

null

ObjectModeling/SnakeAndLadder/SankeAndLadder/Snake.py

riyasyash/CompetitiveProgramming

9cb5c71a2b4297fa8681f0e380ee7a7bb3ee5b5e

[ "Apache-2.0" ]

79

2019-01-26T10:45:16.000Z

2022-02-21T22:16:24.000Z

ObjectModeling/SnakeAndLadder/SankeAndLadder/Snake.py

riyasyash/CompetitiveProgramming

9cb5c71a2b4297fa8681f0e380ee7a7bb3ee5b5e

[ "Apache-2.0" ]

null

class Snake: """ class representing the snake """ pass

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a8819e2710dd9ec5a9e5ad89ec4c08de79fa33d8

116

py

Python

tmp006_simpletest.py

caternuson/TMP006

e209dbf4242068b6ccc30d9bbc046b525ddbc755

[ "MIT" ]

null

tmp006_simpletest.py

caternuson/TMP006

e209dbf4242068b6ccc30d9bbc046b525ddbc755

[ "MIT" ]

null

tmp006_simpletest.py

caternuson/TMP006

e209dbf4242068b6ccc30d9bbc046b525ddbc755

[ "MIT" ]

null

import board, busio import adafruit_tmp006 i2c = busio.I2C(board.SCL, board.SDA) tmp = adafruit_tmp006.TMP006(i2c)

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null

0

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4

76940790b47b4d8abc79653b9cde06174ce8aa47

345

py

Python

src/elapid/example/face_detector.py

tomjaguarpaw/elapid

e9e9a4b36fa8e7c07f6f559454b911a802597ea0

[ "MIT" ]

null

src/elapid/example/face_detector.py

tomjaguarpaw/elapid

e9e9a4b36fa8e7c07f6f559454b911a802597ea0

[ "MIT" ]

null

src/elapid/example/face_detector.py

tomjaguarpaw/elapid

e9e9a4b36fa8e7c07f6f559454b911a802597ea0

[ "MIT" ]

null

class ExampleFaceDetector: """It doesn't really work!""" def __init__(self, example_parameter): self.example_parameter = example_parameter @staticmethod def detect_faces(_binary_data): return [((110, 120), (130, 140)), ((220, 240), (230, 250)), ((300, 300), (310, 310)) ]

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null

0

1

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4

7696ba395cd91f25232b06e7a6cfd30f13308255

131

py

Python

desafios/des097.py

Ericssm96/python

764d0d704be685db9e993c4b74d3df78da12cc6f

[ "MIT" ]

null

desafios/des097.py

Ericssm96/python

764d0d704be685db9e993c4b74d3df78da12cc6f

[ "MIT" ]

null

desafios/des097.py

Ericssm96/python

764d0d704be685db9e993c4b74d3df78da12cc6f

[ "MIT" ]

null

def campo(txt): esp = len(txt) + 2 print('~'*esp) print(f' {txt} ') print('~'*esp) campo('eeita porra consegui')

14.555556

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1

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4

76b4a2b26c6f664a3d33558a6150334c5a075689

515

py

Python

djtriggers/managers.py

vikingco/django-triggers

3928843c7c298f0541f615e3acb280ebf5f59a8f

[ "BSD-3-Clause" ]

18

2017-04-25T10:43:42.000Z

2021-03-15T08:19:51.000Z

djtriggers/managers.py

vikingco/django-triggers

3928843c7c298f0541f615e3acb280ebf5f59a8f

[ "BSD-3-Clause" ]

14

2015-12-09T15:46:45.000Z

2020-11-10T10:34:38.000Z

djtriggers/managers.py

vikingco/django-triggers

3928843c7c298f0541f615e3acb280ebf5f59a8f

[ "BSD-3-Clause" ]

6

2016-01-25T17:44:57.000Z

2021-07-25T03:59:15.000Z

from django.db import models class TriggerManager(models.Manager): def __init__(self, trigger_type): super(TriggerManager, self).__init__() self.trigger_type = trigger_type def get_queryset(self): qs = super(TriggerManager, self).get_queryset() if self.trigger_type: qs = qs.filter(trigger_type=self.trigger_type) return qs def get_unprocessed_triggers(self): qs = self.get_queryset() return qs.filter(date_processed__isnull=True)

28.611111

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515

17

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0

null

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0

null

0

1

0

1

0

4

76b5fc286d9e12258c1cd568b92d12999ba46320

83

py

Python

apps/users/apps.py

TransparentHealth/smh-organization

ca32d1cbb7600e8b22e43e06edab83c323a2404d

[ "Apache-2.0" ]

3

2019-03-03T22:41:00.000Z

2020-04-16T04:07:07.000Z

apps/users/apps.py

TransparentHealth/smh_app

ca32d1cbb7600e8b22e43e06edab83c323a2404d

[ "Apache-2.0" ]

112

2019-03-04T14:20:50.000Z

2020-04-29T21:32:07.000Z

apps/users/apps.py

TransparentHealth/smh-organization

ca32d1cbb7600e8b22e43e06edab83c323a2404d

[ "Apache-2.0" ]

2

2019-08-01T13:08:28.000Z

2019-12-06T15:53:25.000Z

from django.apps import AppConfig class OrgConfig(AppConfig): name = 'users'

13.833333

33

0.73494

10

83

6.1

0.9

0

0.180723

83

5

34

16.6

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null

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1

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4

76c33299861f12c9f3a5ea123c029568dce98516

66

py

Python

week06/lecture/examples/src6/1/mario2.py

uldash/CS50x

c3ee0f42ad514b57a13c3ffbb96238b3ca3730e1

[ "MIT" ]

null

week06/lecture/examples/src6/1/mario2.py

uldash/CS50x

c3ee0f42ad514b57a13c3ffbb96238b3ca3730e1

[ "MIT" ]

null

week06/lecture/examples/src6/1/mario2.py

uldash/CS50x

c3ee0f42ad514b57a13c3ffbb96238b3ca3730e1

[ "MIT" ]

1

2020-11-24T23:25:26.000Z

# Prints a row of 4 question marks without a loop print("?" * 4)

16.5

49

0.666667

12

66

3.666667

0.833333

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0.227273

66

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null

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1

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4

4f2f18b65811901718fbb9d718f153807ba439ed

599

py

Python

main.py

doruksahin/gladiatus-bot

a5de9e11d6f43ca8fe85a8302c54a902dc6614ed

[ "MIT" ]

1

2020-08-14T14:54:38.000Z

main.py

doruksahin/gladiatus-bot

a5de9e11d6f43ca8fe85a8302c54a902dc6614ed

[ "MIT" ]

30

2019-06-07T07:24:19.000Z

2019-06-09T08:20:39.000Z

main.py

doruksahin/gladiatus-bot

a5de9e11d6f43ca8fe85a8302c54a902dc6614ed

[ "MIT" ]

2

2020-05-24T12:20:57.000Z

2022-01-06T14:03:21.000Z

from utilities.enums.enums import Stats, Areas, ExpeditionAttack #from utilities.funcs import login from utilities.funcs_training import train from utilities.funcs_character import get_stats from utilities.funcs_dungeon import dungeon_loop from utilities.funcs_auction import beep_when_decent_item_found from utilities import driver if __name__ == '__main__': #login("bnmLe100Lesh", "dodo1234", 38) # get_stats() #train(Stats.AGI) #expedition(Areas.PIRATE_HARBOUR, ExpeditionAttack.FIRST) dungeon_loop(dungeon=Areas.WOLF_CAVE, repeat_count=200, skip_boss=True) #beep_when_decent_item_found()

37.4375

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82

599

5.731707

0.5

0.193617

0.191489

0.076596

0.097872

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0.021978

0.088481

599

16

73

37.4375

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true

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null

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1

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1

0

1

0

4

4f413fe0eb51576edff3723343dcb3b053c5aee4

170

py

Python

instiz/helper.py

Chromadream/instiz

2a353625ac8ee4ae7aa8465bd1c3d9ae846ea768

[ "MIT" ]

null

instiz/helper.py

Chromadream/instiz

2a353625ac8ee4ae7aa8465bd1c3d9ae846ea768

[ "MIT" ]

174

2018-11-23T08:12:36.000Z

2021-07-29T19:16:27.000Z

instiz/helper.py

Chromadream/instiz

2a353625ac8ee4ae7aa8465bd1c3d9ae846ea768

[ "MIT" ]

null

from urllib.parse import urlsplit def return_int_from_image_url(url): current_url = urlsplit(url) return int(current_url.path.split("/")[-1].split(".")[0][0])

21.25

64

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26

170

4.346154

0.576923

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0.02027

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170

7

65

24.285714

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0.011834

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false

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null

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1

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1

0

4

4f5b9733503640a8dd3da1758abf30295b19b50d

511

py

Python

hackerrank/Algorithms/Xor-sequence/test.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

4

2020-07-24T01:59:50.000Z

2021-07-24T15:14:08.000Z

hackerrank/Algorithms/Xor-sequence/test.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

null

hackerrank/Algorithms/Xor-sequence/test.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

null

import unittest import solution class TestQ(unittest.TestCase): def test_case_0(self): self.assertEqual(solution.xorSequence(2, 4), 7) self.assertEqual(solution.xorSequence(2, 8), 9) self.assertEqual(solution.xorSequence(5, 9), 15) def test_case_1(self): self.assertEqual(solution.xorSequence(3, 5), 5) self.assertEqual(solution.xorSequence(4, 6), 2) self.assertEqual(solution.xorSequence(15, 20), 22) if __name__ == '__main__': unittest.main()

25.55

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4

4f7e2f93b402bd4e12659177a019f7d28b57216a

34

py

Python

test/login.py

friedlich/python33

b5071c67d6edb3a7e993577bc8fb07383c201e5a

[ "MIT" ]

null

test/login.py

friedlich/python33

b5071c67d6edb3a7e993577bc8fb07383c201e5a

[ "MIT" ]

null

test/login.py

friedlich/python33

b5071c67d6edb3a7e993577bc8fb07383c201e5a

[ "MIT" ]

null

初始化 num1 = 10 num2 = 20 num3 = 30

6.8

9

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7

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null

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4

4f88e7dc22a867bc8d33043d792e4a7ea82d6904

684

py

Python

concordia/validators.py

juliecentofanti172/juliecentofanti.github.io

446ea8522b9f4a6709124ebb6e0f675acf7fe205

[ "CC0-1.0" ]

134

2018-05-23T14:00:29.000Z

2022-03-10T15:47:53.000Z

concordia/validators.py

ptrourke/concordia

56ff364dbf38cb8a763df489479821fe43b76d69

[ "CC0-1.0" ]

1,104

2018-05-22T20:18:22.000Z

2022-03-31T17:28:40.000Z

concordia/validators.py

ptrourke/concordia

56ff364dbf38cb8a763df489479821fe43b76d69

[ "CC0-1.0" ]

32

2018-05-22T20:22:38.000Z

2021-12-21T14:11:44.000Z

from django.conf import settings from django.utils.translation import ugettext_lazy as _ from passwords.validators import ComplexityValidator class DjangoPasswordsValidator(object): """ Wrapper for the django-passwords complexity validator which is compatible with the Django 1.9+ password validation API """ message = _("Must be more complex (%s)") code = "complexity" def __init__(self): self.validator = ComplexityValidator(settings.PASSWORD_COMPLEXITY) def get_help_text(self): return _("Your password fails to meet our complexity requirements.") def validate(self, value, user=None): return self.validator(value)

29.73913

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6.1125

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0.0409

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0.003623

0.192982

684

22

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0.333333

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null

0

null

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1

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1

0

1

0

4

96d7be29495922635d9d83210698f91f0f48ea35

210

py

Python

processmap/admin.py

AlexGolovaschenko/OPSI-Wiki

b530da99c746d93484e42399cf6ecaf945fcc2fe

[ "Apache-2.0" ]

null

processmap/admin.py

AlexGolovaschenko/OPSI-Wiki

b530da99c746d93484e42399cf6ecaf945fcc2fe

[ "Apache-2.0" ]

8

2021-03-30T12:31:41.000Z

2022-01-13T01:59:19.000Z

processmap/admin.py

AlexGolovaschenko/OPSI-Wiki

b530da99c746d93484e42399cf6ecaf945fcc2fe

[ "Apache-2.0" ]

null

from django.contrib import admin from processmap.models import MapAreaLink class MapAreaLinkAdmin (admin.ModelAdmin): list_display = ['map_area', 'page'] admin.site.register(MapAreaLink, MapAreaLinkAdmin)

21

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4

96f4b800df70ee1f83a5c8120d1a850db44466fe

19

py

Python

python/testData/psi/EqYieldEq.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/psi/EqYieldEq.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/psi/EqYieldEq.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

bb = yield dd = cc

9.5

18

0.578947

4

19

2.75

1

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0.315789

19

1

19

0.846154

0

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0

null

0

1

0

null

0

1

0

4

96fd4b34f13552125a4b4b2b72c71155157142b5

7,619

py

Python

garnett/lookups.py

Aristotle-Metadata-Enterprises/django-garne

c8166d1146c078091edfd487a57706a279de7b63

[ "BSD-3-Clause" ]

null

garnett/lookups.py

Aristotle-Metadata-Enterprises/django-garne

c8166d1146c078091edfd487a57706a279de7b63

[ "BSD-3-Clause" ]

null

garnett/lookups.py

Aristotle-Metadata-Enterprises/django-garne

c8166d1146c078091edfd487a57706a279de7b63

[ "BSD-3-Clause" ]

null

from django.db.models import lookups from django.db.models.fields import json, CharField from django.db.models.functions import Cast from django.contrib.postgres.fields.jsonb import KeyTextTransform from django.contrib.postgres.lookups import SearchLookup, TrigramSimilar from django.contrib.postgres.search import TrigramSimilarity from garnett.fields import TranslatedField, TranslatedKeyTransform from garnett.utils import get_current_language # We duplicate and process_lhs and process_rhs to be certain these are # Actually called during tests. # Otherwise, the blank classes appear to give 100% coverage @TranslatedField.register_lookup class HasLang(json.HasKey): lookup_name = "has_lang" def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class HasLangs(json.HasKeys): lookup_name = "has_langs" def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class HasAnyLangs(json.HasAnyKeys): lookup_name = "has_any_langs" def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) # Override default lookups on our field to handle language lookups class CurrentLanguageMixin: """Mixin to perform language lookup on lhs""" def __init__(self, lhs, *args, **kwargs): tlhs = json.KeyTransform( str(get_current_language()), lhs, ) super().__init__(tlhs, *args, **kwargs) @TranslatedField.register_lookup class BaseLanguageExact( CurrentLanguageMixin, json.KeyTransformTextLookupMixin, lookups.Exact ): # Note: On some database engines lookup_name actually has an effect on the result # (See lookup_cast in the django postgres backend) lookup_name = "exact" prepare_rhs = False def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageIExact(CurrentLanguageMixin, json.KeyTransformIExact): lookup_name = "iexact" def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageIContains(CurrentLanguageMixin, json.KeyTransformIContains): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageContains( CurrentLanguageMixin, json.KeyTransformTextLookupMixin, lookups.Contains ): # Override the default json field contains which is not a text contains # https://docs.djangoproject.com/en/3.1/topics/db/queries/#contains lookup_name = "contains" def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) # Override contains lookup for after a key lookup i.e. title__en__contains="thing" @TranslatedKeyTransform.register_lookup class KeyTransformContains(json.KeyTransformTextLookupMixin, lookups.Contains): lookup_name = "contains" def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedKeyTransform.register_lookup class KeyTransformExact(json.KeyTransformExact): def process_lhs(self, compiler, connection): self.lhs = Cast(self.lhs, CharField()) return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): self.rhs = Cast(self.lhs, CharField()) return super().process_lhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageStartsWith(CurrentLanguageMixin, json.KeyTransformStartsWith): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageIStartsWith(CurrentLanguageMixin, json.KeyTransformIStartsWith): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageEndsWith(CurrentLanguageMixin, json.KeyTransformEndsWith): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageIEndsWith(CurrentLanguageMixin, json.KeyTransformIEndsWith): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageRegex(CurrentLanguageMixin, json.KeyTransformRegex): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageIRegex(CurrentLanguageMixin, json.KeyTransformIRegex): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) @TranslatedField.register_lookup class BaseLanguageSearch( CurrentLanguageMixin, json.KeyTransformTextLookupMixin, SearchLookup ): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) # --- Postgres only functions --- @TranslatedField.register_lookup class BaseLanguageTrigramSimilar( CurrentLanguageMixin, json.KeyTransformTextLookupMixin, TrigramSimilar ): def process_lhs(self, compiler, connection): return super().process_lhs(compiler, connection) def process_rhs(self, compiler, connection): return super().process_rhs(compiler, connection) class LangTrigramSimilarity(TrigramSimilarity): # There is no way we can calculate if a field is a language or not # So we have to write our own function here # We also need to cast the JSONB field to a string def __init__(self, expression, string, **extra): lang = str(get_current_language()) expression = KeyTextTransform(lang, expression) super().__init__(expression, string, **extra)

33.862222

85

0.754561

828

7,619

6.789855

0.19686

0.217716

0.133049

0.159374

0.541089

0.528815

0

0.00078

0.158157

7,619

224

86

34.013393

0.875741

0.104344

0

0.65

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0.008376

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1

0.257143

false

0

0.057143

0.228571

0.75

0

null

1

0

null

0

1

0

1

0

4

8c0d9ab69f5d504613002cbfc83867efcb6b0502

238

py

Python

example/my_class.py

avara1986/gozokia

03da46359c4a97a35b8f94686cccec7fc9b438cd

[ "MIT-0", "MIT" ]

null

example/my_class.py

avara1986/gozokia

03da46359c4a97a35b8f94686cccec7fc9b438cd

[ "MIT-0", "MIT" ]

null

example/my_class.py

avara1986/gozokia

03da46359c4a97a35b8f94686cccec7fc9b438cd

[ "MIT-0", "MIT" ]

null

from gozokia.core.rules import RuleBase class MyClassObjetive(RuleBase): def condition_raise(self, *args, **kwargs): return False def response(self, *args, **kwargs): self.response_output = 'My Class Objetive'

21.636364

50

0.689076

28

238

5.785714

0.714286

0.098765

0.17284

0

0.205882

238

10

51

23.8

0.857143

0

0.071429

0

1

0.333333

false

0

0.166667

0.833333

0

1

0

null

0

null

0

1

0

1

0

4

8c302586b3ff1a616fe99ea203ebc95d11c59f66

510

py

Python

examples/55. Jump Game.py

yehzhang/RapidTest

2302fc10ddafba1d16ef1d7448d46c66f5a05da2

[ "MIT" ]

null

examples/55. Jump Game.py

yehzhang/RapidTest

2302fc10ddafba1d16ef1d7448d46c66f5a05da2

[ "MIT" ]

null

examples/55. Jump Game.py

yehzhang/RapidTest

2302fc10ddafba1d16ef1d7448d46c66f5a05da2

[ "MIT" ]

null

from __future__ import print_function from rapidtest import Test, Case from solutions.jump_game import Solution with Test(Solution) as test: Case([], result=True) Case([0], result=True) Case([0, 1], result=False) Case([1, 0], result=True) Case([1, 0, 0], result=False) Case([2, 0, 0], result=True) Case([1, 1, 0], result=True) Case([3, 0, 0, 0], result=True) Case([2, 0, 0, 10], result=False) Case([2, 3, 1, 1, 4], result=True) Case([3, 2, 1, 0, 4], result=False)

28.333333

40

0.607843

86

510

3.534884

0.267442

0.230263

0.322368

0.246711

0.217105

0

0.081886

0.209804

510

17

41

30

0.672457

0

1

0

true

0

0.2

0

0.2

0.066667

0

null

1

0

null

0

1

0

4

8c52632c085d3a54ef9524fb3766be795102e1e9

1,975

py

Python

src/injecta/service/argument/PrimitiveArgumentTest.py

DataSentics/injecta

090eeac6c76c43d40be71df678222a07b0a3c783

[ "MIT" ]

3

2021-09-27T12:55:00.000Z

2022-01-31T19:13:23.000Z

src/injecta/service/argument/PrimitiveArgumentTest.py

DataSentics/injecta

090eeac6c76c43d40be71df678222a07b0a3c783

[ "MIT" ]

null

src/injecta/service/argument/PrimitiveArgumentTest.py

DataSentics/injecta

090eeac6c76c43d40be71df678222a07b0a3c783

[ "MIT" ]

1

2021-03-04T09:12:05.000Z

import unittest from injecta.service.argument.PrimitiveArgument import PrimitiveArgument class PrimitiveArgumentTest(unittest.TestCase): def test_string(self): argument = PrimitiveArgument("hello world") self.assertEqual("'hello world'", argument.get_string_value()) def test_number(self): argument = PrimitiveArgument(123456) self.assertEqual("123456", argument.get_string_value()) def test_bool(self): argument = PrimitiveArgument(True) self.assertEqual("True", argument.get_string_value()) def test_none(self): argument = PrimitiveArgument(None) self.assertEqual("None", argument.get_string_value()) def test_env_placeholder_only(self): argument = PrimitiveArgument("%env(APP_ENV)%") self.assertEqual("os.environ['APP_ENV']", argument.get_string_value()) def test_value_placeholder_only(self): argument = PrimitiveArgument("%foo.bar%") self.assertEqual("self.__parameters.foo.bar", argument.get_string_value()) def test_env_placeholder(self): argument = PrimitiveArgument("ahoj %env(APP_ENV)%") self.assertEqual("'ahoj ' + os.environ['APP_ENV']", argument.get_string_value()) def test_value_placeholder(self): argument = PrimitiveArgument("ahoj %foo.bar%") self.assertEqual("'ahoj ' + self.__parameters.foo.bar", argument.get_string_value()) def test_placeholder_combination(self): argument = PrimitiveArgument("ahoj %foo.bar% svete %env(APP_ENV)% novy") self.assertEqual("'ahoj ' + self.__parameters.foo.bar + ' svete ' + os.environ['APP_ENV'] + ' novy'", argument.get_string_value()) def test_placeholder_combination2(self): argument = PrimitiveArgument("%foo.bar% svete %env(APP_ENV)%") self.assertEqual("self.__parameters.foo.bar + ' svete ' + os.environ['APP_ENV']", argument.get_string_value()) if __name__ == "__main__": unittest.main()

32.916667

138

0.693165

220

1,975

5.940909

0.186364

0.210406

0.221882

0.168324

0.671002

0.531752

0.356542

0.288447

0.228003

0.166794

0

0.007975

0.174684

1,975

59

139

33.474576

0.793865

0

0.028571

0.215696

0.093165

0

0.285714

1

0.285714

false

0

0.057143

0

0.371429

0

null

1

0

null

0

1

0

4

4fc00aad53bb327eec16e9d4a0ba2e38c7c07682

178

py

Python

xyz12/pf-fr/pf_fr/interface/auth_acl_processor_abc.py

problemfighter/pf-flask-react

ac38e3fa0fac0765eea7ec3c03937f93c55a9815

[ "Apache-2.0" ]

3

2021-11-22T07:57:23.000Z

2022-01-15T09:08:50.000Z

xyz12/pf-fr/pf_fr/interface/auth_acl_processor_abc.py

problemfighter/pf-flask-react

ac38e3fa0fac0765eea7ec3c03937f93c55a9815

[ "Apache-2.0" ]

null

xyz12/pf-fr/pf_fr/interface/auth_acl_processor_abc.py

problemfighter/pf-flask-react

ac38e3fa0fac0765eea7ec3c03937f93c55a9815

[ "Apache-2.0" ]

null

from abc import abstractmethod, ABC class AuthACLProcessorABC(ABC): @abstractmethod def process(self, url_info: dict, jwtPayload: dict, authInterceptor): pass

19.777778

73

0.730337

19

178

6.789474

0.789474

0

0.196629

178

8

74

22.25

0.902098

0

1

0.2

false

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8b085c324bcb5f0d6bdfb123d1d72c9803280491

612

py

Python

MapAreaEval.py

hal-lab-u-tokyo/GenMap

4ee3eab31826115fe77abeec43df2149efef6279

[ "MIT" ]

null

MapAreaEval.py

hal-lab-u-tokyo/GenMap

4ee3eab31826115fe77abeec43df2149efef6279

[ "MIT" ]

2

2022-01-12T03:26:12.000Z

2022-01-17T01:21:25.000Z

MapAreaEval.py

hal-lab-u-tokyo/GenMap

4ee3eab31826115fe77abeec43df2149efef6279

[ "MIT" ]

1

2022-01-07T08:03:36.000Z

# This file is part of GenMap and released under the MIT License, see LICENSE. # Author: Takuya Kojima from EvalBase import EvalBase from MapHeightEval import MapHeightEval from MapWidthEval import MapWidthEval class MapAreaEval(EvalBase): def __init__(self): pass @staticmethod def eval(CGRA, app, sim_params, individual): return MapHeightEval.eval(CGRA, app, sim_params, individual) * \ MapWidthEval.eval(CGRA, app, sim_params, individual) @staticmethod def isMinimize(): return True @staticmethod def name(): return "Map_Area"

26.608696

79

0.694444

70

612

5.957143

0.571429

0.107914

0.079137

0.100719

0.215827

0

0.236928

612

23

80

26.608696

0.892934

0.161765

0

0.1875

0

0.015686

0

1

0.25

false

0.0625

0.1875

0.6875

0

null

0

null

0

1

0

1

0

1

0

4

8c76e4f2864cafe27b24a8ba90d050cb182cf4a8

384

py

Python

mysite/account/models.py

PUNITKUMARGAUTAM/mydjango

5dd86a99bc0fae0cad712412d2de9c0c6cee6dcc

[ "MIT" ]

null

mysite/account/models.py

PUNITKUMARGAUTAM/mydjango

5dd86a99bc0fae0cad712412d2de9c0c6cee6dcc

[ "MIT" ]

null

mysite/account/models.py

PUNITKUMARGAUTAM/mydjango

5dd86a99bc0fae0cad712412d2de9c0c6cee6dcc

[ "MIT" ]

null

from django.db import models # Create your models here. class Account(models.Model): accountno = models.CharField(max_length = 300) accountname = models.CharField(max_length = 50) accountid = models.CharField(max_length = 50) accounttype = models.CharField(max_length = 50) accountbalance = models.CharField(max_length = 50) class Meta: db_table = "accounts"

32

54

0.734375

48

384

5.75

0.5

0.271739

0.326087

0.434783

0.376812

0

0.034591

0.171875

384

12

55

32

0.833333

0.0625

0

0.022284

0

1

0

false

0

0.111111

0

1

0

null

1

0

null

0

1

0

4

8cc2ac1de1cf7197ee56d2508e3a1e26ba1d3a80

880

py

Python

platypush/message/event/path/__init__.py

shineit/platypush

a67b301cd66235b41bff6bfb3de56b903bf9551d

[ "MIT" ]

1

2020-12-08T06:26:31.000Z

platypush/message/event/path/__init__.py

shineit/platypush

a67b301cd66235b41bff6bfb3de56b903bf9551d

[ "MIT" ]

null

platypush/message/event/path/__init__.py

shineit/platypush

a67b301cd66235b41bff6bfb3de56b903bf9551d

[ "MIT" ]

null

from platypush.message.event import Event class PathOpenEvent(Event): def __init__(self, path, *args, **kwargs): super().__init__(path=path, *args, **kwargs) class PathCloseEvent(Event): def __init__(self, path, *args, **kwargs): super().__init__(path=path, *args, **kwargs) class PathCreateEvent(Event): def __init__(self, path, *args, **kwargs): super().__init__(path=path, *args, **kwargs) class PathDeleteEvent(Event): def __init__(self, path, *args, **kwargs): super().__init__(path=path, *args, **kwargs) class PathModifyEvent(Event): def __init__(self, path, *args, **kwargs): super().__init__(path=path, *args, **kwargs) class PathPermissionsChangeEvent(Event): def __init__(self, path, umask, *args, **kwargs): super().__init__(path=path, umask=umask, *args, **kwargs) # vim:sw=4:ts=4:et:

28.387097

65

0.659091

105

880

5.066667

0.238095

0.225564

0.263158

0.180451

0.671053

0.633459

0.582707

0

0.00274

0.170455

880

30

66

29.333333

0.726027

0.019318

0

0.526316

0

1

0.315789

false

0

0.052632

0

0.684211

0

null

1

0

null

0

1

0

4

8cec4c381bd3a882fcea0bdb3ca91641d31a4274

245

py

Python

List/11_sort_list.py

manish1822510059/Python-1000-program

d03c1920fe63a7e32ac5bd9a13e2766d7a25756c

[ "Apache-2.0" ]

1

2021-03-06T03:33:42.000Z

List/11_sort_list.py

manish1822510059/Python-1000-programs

d03c1920fe63a7e32ac5bd9a13e2766d7a25756c

[ "Apache-2.0" ]

null

List/11_sort_list.py

manish1822510059/Python-1000-programs

d03c1920fe63a7e32ac5bd9a13e2766d7a25756c

[ "Apache-2.0" ]

null

mylist = ["Firefox","Chrome","Safari","Microsoft Edges","Brave"] print("Unsorted List: ",mylist) mylist.sort() print("Sorted List in Increasing Order: ",mylist) mylist.sort(reverse=True) print("Sorted List in Decreasing Order: ",mylist)

40.833333

65

0.710204

31

245

5.612903

0.580645

0.137931

0.183908

0.195402

0

0.118367

245

6

66

40.833333

0.805556

0

0.514523

0

1

0

false

0

0.5

0

null

0

1

0

1

0

null

0

1

0

4

8cf78673e703fa4dcc49124318ccd095e5630267

671

py

Python

books/urls.py

OdinGitDat/WhatManager2

ddbce0fa1ff4e1fc44bfa726c4f7eace4adbe8a9

[ "MIT" ]

1

2018-03-23T13:11:30.000Z

books/urls.py

SavageCore/WhatManager2

5a0fc5af8c9168fa199124aaa2aa56495dc0a40b

[ "MIT" ]

null

books/urls.py

SavageCore/WhatManager2

5a0fc5af8c9168fa199124aaa2aa56495dc0a40b

[ "MIT" ]

null

from django.conf.urls import patterns, url urlpatterns = patterns( '', url(r'^uploads$', 'books.views.uploads'), url(r'^uploads/new$', 'books.views.new_upload'), url(r'^uploads/(\d+)/edit$', 'books.views.edit_upload'), url(r'^uploads/(\d+)/cover$', 'books.views.upload_cover'), url(r'^uploads/(\d+)/cover/upload$', 'books.views.upload_cover_upload'), url(r'^uploads/(\d+)/generate_torrents$', 'books.views.upload_generate_torrents'), url(r'^uploads/(\d+)/what/upload', 'books.views.upload_to_what'), url(r'^uploads/(\d+)/what/skip', 'books.views.skip_what'), url(r'^uploads/(\d+)/bibliotik/skip', 'books.views.skip_bibliotik'), )

44.733333

86

0.657228

94

671

4.56383

0.244681

0.083916

0.230769

0.195804

0.298368

0

0.102832

671

14

87

47.928571

0.712625

0

0.642325

0.551416

0

1

0

false

0

0.076923

0

0.076923

0

null

0

1

0

1

null

0

4

5078f8dd184f357fbe4a888f2bb05a23a7183c7b

24,611

py

Python

optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum2000/Output/Histos/MadAnalysis5job_0/selection_2.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum2000/Output/Histos/MadAnalysis5job_0/selection_2.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum2000/Output/Histos/MadAnalysis5job_0/selection_2.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

def selection_2(): # Library import import numpy import matplotlib import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec # Library version matplotlib_version = matplotlib.__version__ numpy_version = numpy.__version__ # Histo binning xBinning = numpy.linspace(-3.2,3.2,65,endpoint=True) # Creating data sequence: middle of each bin xData = numpy.array([-3.15,-3.05,-2.95,-2.85,-2.75,-2.65,-2.55,-2.45,-2.35,-2.25,-2.15,-2.05,-1.95,-1.85,-1.75,-1.65,-1.55,-1.45,-1.35,-1.25,-1.15,-1.05,-0.95,-0.85,-0.75,-0.65,-0.55,-0.45,-0.35,-0.25,-0.15,-0.05,0.05,0.15,0.25,0.35,0.45,0.55,0.65,0.75,0.85,0.95,1.05,1.15,1.25,1.35,1.45,1.55,1.65,1.75,1.85,1.95,2.05,2.15,2.25,2.35,2.45,2.55,2.65,2.75,2.85,2.95,3.05,3.15]) # Creating weights for histo: y3_PHI_0 y3_PHI_0_weights = numpy.array([248.92038604,602.444482167,614.72667161,633.764255246,614.931471434,607.766677592,615.340871082,607.971477416,607.971477416,608.380877064,586.068096243,608.790276712,611.656074249,598.145685862,613.498472665,608.995076536,607.357277944,609.609076009,595.279888325,596.303287446,599.169284982,611.042074777,616.364270202,621.891265451,604.900880056,629.056059293,637.039452431,599.57868463,589.138693604,579.722301698,600.806883575,628.851259469,608.17607724,611.042074777,628.851259469,620.458466683,612.679673369,630.693657885,604.900880056,614.72667161,618.206668619,614.317271962,616.159670378,616.978469674,629.465458941,599.988084278,591.390491668,592.413890789,607.357277944,587.501095012,620.253666859,618.002068794,609.609076009,624.34786334,624.34786334,603.672681111,607.562077768,619.844267211,616.77366985,611.656074249,615.340871082,588.524494132,613.293872841,255.675580233]) # Creating weights for histo: y3_PHI_1 y3_PHI_1_weights = numpy.array([0.0,0.0,0.606204111962,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.608524689202,0.0,0.0,0.60876676669,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.606569232146,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y3_PHI_2 y3_PHI_2_weights = numpy.array([0.502662454363,1.50475879632,0.502662454363,0.0,0.0,2.01036202111,0.50093526308,1.50774068051,1.0034572282,1.50788447538,1.50810016769,0.501548663908,1.00306241211,0.0,1.00299567972,0.0,2.00765367774,1.00489786275,1.50459082903,1.5056940828,1.00335062166,0.503483490028,0.503014503878,0.501622214158,2.0119437647,1.00501252676,0.50093526308,2.508586255,0.501645973369,1.50435137752,1.00503215394,0.0,0.502286645638,1.50525711993,0.0,0.501704648288,1.00368263079,1.50531248922,1.00512967,0.50093526308,0.501704648288,1.00365866498,3.01207284405,1.00374109911,1.50491395429,1.00498132989,2.00767785015,0.0,0.501704648288,0.0,0.0,0.500768122201,1.00435491314,1.00227877137,1.00432309646,0.501497839858,1.00420078818,0.501548663908,0.501704648288,0.0,1.50498564513,1.50851337134,1.0039431557,0.501622214158]) # Creating weights for histo: y3_PHI_3 y3_PHI_3_weights = numpy.array([3.02282361831,6.05225501862,5.22555913029,4.95198720544,4.12626430437,6.60226907918,4.9477865005,4.40195892586,5.2260222641,4.94383564407,5.77461239131,5.22812871044,3.30272097603,4.67566288447,4.67893325921,4.12465958634,7.15164937768,5.22479536575,4.40173142153,3.02322581347,4.94974060019,5.7752603724,5.22180124628,4.9533197308,4.95068108684,4.40166235772,5.49853995013,3.57533616392,3.85093734613,6.87768947671,3.84819510645,4.40062436922,4.40100828277,3.57669712732,4.12576663865,6.60422114758,3.29770978692,5.22321705447,6.05068889507,5.49884058086,5.776763526,4.12705244437,4.94943996947,5.77251000756,5.22341408947,5.50194438992,3.30037280635,4.39941778376,5.22616851689,3.30113047701,5.2235704987,3.02107874136,4.40098390731,5.4942133053,4.67569741638,4.95339082591,3.30247925268,7.15127968315,2.19878262425,5.50266346611,4.12438942495,4.12540506927,3.85062249639,2.47331534863]) # Creating weights for histo: y3_PHI_4 y3_PHI_4_weights = numpy.array([1.62839752404,3.45351386234,3.05930463816,3.30589057757,2.71407670723,3.30595671434,3.84960898656,2.56540124656,4.29308409253,4.19381881205,3.35382771151,3.50383793246,3.30604489671,4.39058772993,3.15821718919,4.34164651956,3.35572162812,3.10861861941,3.20745701709,3.45378843015,3.35528472461,3.65200233626,3.60172235732,3.65084995313,2.96045221146,3.35516447593,3.79986010594,3.99709799364,3.7008754057,3.75056817028,3.40457666027,3.05943490756,3.0592164558,2.95999125821,3.45414316374,3.60147985583,3.84959896584,3.65002825386,3.05793981571,3.50302825805,3.55262482369,3.25692932577,3.84889751524,3.5021223847,3.30625934017,4.5399245583,4.24432525932,3.94850149615,4.48979489021,3.30654994114,3.7982126991,4.04525157519,3.89857224251,2.86226716491,3.89914743201,3.25604349387,3.3548798874,3.70021604214,3.20805625632,3.0594369117,3.15841760365,4.0954854588,3.25647839324,1.28327921982]) # Creating weights for histo: y3_PHI_5 y3_PHI_5_weights = numpy.array([0.504166439655,1.14705279602,1.20979859882,1.28565087854,1.28587974275,1.42433018386,1.27298972656,1.57557121325,1.08402711469,1.36120127357,1.05909211939,1.36144934316,1.1972534794,1.24799271386,1.222371326,1.49917898206,1.33584175917,1.47479714194,1.51262375387,1.66353609106,1.41197331724,1.43693351962,1.14679672418,1.34838227731,1.31081993951,1.44950544656,1.18466594807,1.37377300046,1.20992823519,1.29828702351,1.48692634468,1.37408728863,1.15952249428,1.07118551209,1.22252576932,1.235000469,1.19718686071,1.2099496412,1.13441064937,1.27304114099,1.37387102796,1.51234027435,1.29803015144,1.13465831885,1.31091376583,1.19717325689,1.37370918256,1.33607622495,1.298206801,1.42409811875,1.34900445185,1.22259498874,1.4998093589,1.17228447455,1.43691711501,1.26064986472,1.37389963599,1.41138375184,1.18453331086,1.22247635546,1.21016350119,1.34846770127,1.26035778278,0.516731564695]) # Creating weights for histo: y3_PHI_6 y3_PHI_6_weights = numpy.array([0.17200772147,0.472531750697,0.472265577727,0.57253431025,0.486574036901,0.329434862517,0.443903385662,0.57248282515,0.529530255497,0.558276436437,0.471810709365,0.415690750316,0.415360046021,0.372147601576,0.472104824249,0.415582031779,0.529724699226,0.429352146748,0.53022555428,0.501443383756,0.572652775966,0.401058734779,0.558232449167,0.601298485982,0.486574436785,0.444018852247,0.529196851983,0.529736195899,0.372172544357,0.601228506234,0.487155418651,0.429123962784,0.458541049565,0.501207452034,0.314353527011,0.528992411148,0.457888838313,0.501655322421,0.543690657518,0.472445175752,0.443583628199,0.572144922938,0.50075808208,0.48659498084,0.472240834888,0.60072115306,0.644548469563,0.414669145965,0.487257888996,0.514811515058,0.586907650647,0.400907078667,0.529689209496,0.672669331469,0.558473879297,0.544487926791,0.443565233522,0.64497284675,0.587070103634,0.572433839326,0.386841299263,0.372299657571,0.443776272448,0.314425806094]) # Creating weights for histo: y3_PHI_7 y3_PHI_7_weights = numpy.array([0.0151195756676,0.0507689332507,0.0377913273474,0.0421358177911,0.0367181495481,0.0345525784218,0.0367229272366,0.0313240973356,0.0507595664667,0.032385477597,0.0528404383962,0.0410297409965,0.0421208351276,0.039949354755,0.0291570174656,0.0442520404244,0.0496777553006,0.0313355176875,0.0646506747909,0.0399846635493,0.0518454428591,0.0334761945422,0.0441910410771,0.0324194662406,0.0366297623111,0.0409602340109,0.0378034811163,0.0442776052488,0.0529340014625,0.0367108782415,0.0432090584546,0.0485979767475,0.0701934639898,0.0410250890367,0.0496845656022,0.0518356569796,0.0388823376594,0.0367148806034,0.0516733203448,0.04859728524,0.059404689012,0.0452753249066,0.0496782372604,0.0399709381723,0.0442837659524,0.0540012700154,0.0475321750287,0.0367074207038,0.0345604155073,0.0399473850063,0.0356466481308,0.0497004493209,0.048606463431,0.0486047660943,0.0432158058919,0.0399601674184,0.045348561842,0.0432016614194,0.0539087965974,0.0398896126941,0.0550818448499,0.0410452475293,0.0410442207454,0.0129561545011]) # Creating weights for histo: y3_PHI_8 y3_PHI_8_weights = numpy.array([0.00284231555809,0.00141987004216,0.00283988782698,0.0,0.0,0.00426074009797,0.00567982688132,0.00141987004216,0.00284285010438,0.0070994986959,0.00568021368496,0.00141842453988,0.00850861841808,0.00566295080925,0.00709381394451,0.00568160870231,0.0014214632871,0.00141842453988,0.00426029241544,0.00425645036393,0.00709284359449,0.00567871695533,0.00425579331744,0.00284087005581,0.0,0.00852034873961,0.00568069700391,0.00283789812688,0.0028429265742,0.00992946474966,0.00141842453988,0.00709388150522,0.00284133407169,0.00425671912193,0.00709699375255,0.00424899492793,0.0085209649527,0.00992482459083,0.00710035916695,0.00426537209012,0.0,0.00566143403413,0.00561239460831,0.00709025921163,0.00425816462421,0.00567763895363,0.00142244551592,0.00283736358058,0.00567132759519,0.00426635431894,0.00841321675248,0.0,0.00141749353842,0.00709521935582,0.00283789812688,0.00141842453988,0.00568379663001,0.00141987004216,0.00986619525595,0.00562035192389,0.00568114468643,0.00993119460087,0.00560041260457,0.00284231555809]) # Creating weights for histo: y3_PHI_9 y3_PHI_9_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y3_PHI_10 y3_PHI_10_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.64790836,52.7314194359,0.0,0.0,0.0,0.0,0.0,0.0,52.6056914349,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y3_PHI_11 y3_PHI_11_weights = numpy.array([0.0,0.0,34.5524771328,0.0,34.5368181327,11.4991261958,11.5093131919,11.5180092207,11.528455599,34.5932097465,11.5232660335,11.5180092207,23.0386161061,34.5613729819,23.0055496777,11.5010091185,23.0505092608,23.0508358903,34.5174893547,0.0,0.0,23.071778602,11.5322617928,0.0,0.0,11.5309840952,0.0,0.0,11.4991261958,11.5010091185,46.085225027,11.5309840952,23.0308730668,23.0171354164,34.5247136296,0.0,11.5322617928,11.5180092207,0.0,0.0,11.528455599,45.9753814644,57.5727443493,0.0,11.5182378613,11.5093131919,11.5275640927,0.0,11.5214138523,46.1004613302,23.0659184854,0.0,11.4991261958,0.0,34.5452528579,0.0,11.5057068185,11.5093131919,11.5214138523,0.0,0.0,0.0,69.1132737098,0.0]) # Creating weights for histo: y3_PHI_12 y3_PHI_12_weights = numpy.array([4.15587258556,16.6233307019,16.6073916724,13.8494606438,6.92596513026,11.0748962463,15.2313150711,12.4612936914,6.92503421554,11.0839880519,6.92165099447,12.4658540195,6.91427484168,11.0874385912,8.31272224691,5.53841173531,8.31061037839,6.91335162047,11.0780505855,11.0663929943,6.91793310572,4.15337604154,8.31452060489,11.0701031896,15.2300302549,13.846756375,9.6988773464,9.69131654936,8.31675364619,15.234269379,5.54270471394,13.8392917468,9.68860458705,8.29797378807,8.31281072227,8.29744678263,11.089694713,16.614119647,5.53939265785,4.15182964601,13.8445194869,5.53938688771,2.76641312349,12.4607051379,8.30491141079,12.4610071081,12.4623573192,11.0737345263,5.53819439365,11.07824677,2.77160047267,9.69636349197,9.68103417313,13.8457716057,13.8409054606,4.15463200706,2.77447976882,12.4607993834,15.2341078153,8.30800612522,6.9135285712,11.0715611097,5.52967960136,4.14944465789]) # Creating weights for histo: y3_PHI_13 y3_PHI_13_weights = numpy.array([2.01590994511,3.02291271338,3.52392662311,4.54059435597,3.02035165404,3.02179027754,1.51140977818,3.02548439323,5.5478189411,1.51373688293,3.52859357722,4.03240310777,1.51258622689,4.03235152245,3.52774090225,3.5256865928,2.01841122618,3.53010472361,2.01899171273,2.52142543249,1.51464599831,1.5130092265,4.53652821909,2.5215537889,1.51299526812,2.0161375274,2.01525208058,5.03898439364,2.52157594025,3.02107263472,3.52477929808,2.52011364819,3.02524770765,1.51351142475,2.02013933435,3.02865901442,3.52289188231,4.03062796593,2.01634872376,4.03478210128,2.01837147514,5.04285632696,1.01000442692,3.52585955534,4.02989363375,4.036126354,1.00702582994,3.53023520412,1.51328141492,3.0261580368,2.52118055395,3.02531112725,3.02543918022,3.52934915042,1.5107846855,1.51231980389,2.51962085667,2.52294962693,4.53572409501,1.51226306004,1.51137791666,2.52165604921,3.02265600056,1.5117714823]) # Creating weights for histo: y3_PHI_14 y3_PHI_14_weights = numpy.array([0.706820087298,1.41455201906,0.849118610677,0.849428714745,0.989912975427,1.27354123553,1.27321939676,1.41466898139,0.424798904977,0.990821549568,1.13070522408,1.13112863541,1.55583000765,0.991332105521,0.424373185186,0.565939347406,1.27221001956,1.55566168193,1.27353488725,0.282364374416,1.55552240442,1.27349622042,1.27309146921,1.13259643568,0.84801458633,1.13232980774,1.6967678821,1.55608720935,1.13087489641,1.69748158315,0.566639774771,1.41391372794,0.990965251639,1.98082628656,1.13183329496,0.849393702995,0.848065372604,0.566387767123,1.27315129698,1.6985384763,2.12108874204,1.13209492122,2.54484248857,1.13158975169,1.69801984071,1.13177058161,0.566093629952,0.849353497195,0.990122276436,0.9902507811,0.849000686487,1.41414399752,1.131428159,0.848239854235,0.84889238091,0.990777881067,0.990223271868,0.989840066344,1.13163784475,1.41480287248,0.989984922649,1.13020582572,1.84003903958,0.848067296326]) # Creating weights for histo: y3_PHI_15 y3_PHI_15_weights = numpy.array([0.0,0.152268064237,0.22927188165,0.0,0.076814773478,0.228323175387,0.151357060391,0.230187376692,0.0,0.151782660397,0.0762479962411,0.152830350277,0.0,0.22982246694,0.0,0.0,0.0754248071148,0.0,0.076814773478,0.0755578292772,0.0760474879349,0.0760474879349,0.1515062745,0.0760814673855,0.0,0.0,0.0,0.0,0.0760474879349,0.0,0.0762479962411,0.15084961423,0.152143906279,0.152165830411,0.151365747311,0.0,0.0,0.0,0.15223426207,0.0760474879349,0.152714288292,0.0766668003573,0.0758637034278,0.0758637034278,0.0,0.0,0.0,0.227761716673,0.227932204873,0.0761303386998,0.0,0.0766668003573,0.153433116184,0.152864329727,0.0,0.0,0.152658030141,0.0762248311199,0.152608626974,0.0756327022581,0.0763222191803,0.0769107432656,0.0754248071148,0.0]) # Creating weights for histo: y3_PHI_16 y3_PHI_16_weights = numpy.array([0.0,0.0180253496503,0.0180328991931,0.0180467932778,0.0,0.0180445411194,0.0,0.0,0.00903130710453,0.0,0.0,0.00903834846803,0.0,0.0090077287389,0.0180268722633,0.0,0.0,0.00903130710453,0.0,0.00904851205449,0.0,0.00905842155128,0.0,0.0,0.00903063915671,0.00903671613445,0.0180308183528,0.0180687547092,0.0,0.00903430228266,0.0271087297361,0.0180578538778,0.00901015029037,0.00904851205449,0.00903834846803,0.009000181121,0.0180580251958,0.018038529589,0.0180697883922,0.00903775174231,0.0,0.00902765167827,0.00903130710453,0.0,0.00902765167827,0.0,0.0,0.0,0.0,0.00903203857477,0.0,0.00901015029037,0.0,0.0,0.0,0.00903130710453,0.00903285666648,0.0271342926959,0.00903285666648,0.0,0.00899993473103,0.0180686141899,0.0,0.0090251685293]) # Creating a new Canvas fig = plt.figure(figsize=(12,6),dpi=80) frame = gridspec.GridSpec(1,1,right=0.7) pad = fig.add_subplot(frame[0]) # Creating a new Stack pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights+y3_PHI_12_weights+y3_PHI_13_weights+y3_PHI_14_weights+y3_PHI_15_weights+y3_PHI_16_weights,\ label="$bg\_dip\_1600\_inf$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#e5e5e5", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights+y3_PHI_12_weights+y3_PHI_13_weights+y3_PHI_14_weights+y3_PHI_15_weights,\ label="$bg\_dip\_1200\_1600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#f2f2f2", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights+y3_PHI_12_weights+y3_PHI_13_weights+y3_PHI_14_weights,\ label="$bg\_dip\_800\_1200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights+y3_PHI_12_weights+y3_PHI_13_weights,\ label="$bg\_dip\_600\_800$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights+y3_PHI_12_weights,\ label="$bg\_dip\_400\_600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#c1bfa8", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights,\ label="$bg\_dip\_200\_400$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#bab5a3", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights,\ label="$bg\_dip\_100\_200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#b2a596", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights,\ label="$bg\_dip\_0\_100$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#b7a39b", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights,\ label="$bg\_vbf\_1600\_inf$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ad998c", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights,\ label="$bg\_vbf\_1200\_1600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#9b8e82", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights,\ label="$bg\_vbf\_800\_1200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#876656", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights,\ label="$bg\_vbf\_600\_800$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#afcec6", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights,\ label="$bg\_vbf\_400\_600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#84c1a3", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights,\ label="$bg\_vbf\_200\_400$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#89a8a0", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights,\ label="$bg\_vbf\_100\_200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#829e8c", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights+y3_PHI_1_weights,\ label="$bg\_vbf\_0\_100$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#adbcc6", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y3_PHI_0_weights,\ label="$signal$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#7a8e99", linewidth=1, linestyle="solid",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") # Axis plt.rc('text',usetex=False) plt.xlabel(r"\phi [ j_{1} ] ",\ fontsize=16,color="black") plt.ylabel(r"$\mathrm{Events}$ $(\mathcal{L}_{\mathrm{int}} = 2000.0\ \mathrm{fb}^{-1})$ ",\ fontsize=16,color="black") # Boundary of y-axis ymax=(y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights+y3_PHI_12_weights+y3_PHI_13_weights+y3_PHI_14_weights+y3_PHI_15_weights+y3_PHI_16_weights).max()*1.1 ymin=0 # linear scale #ymin=min([x for x in (y3_PHI_0_weights+y3_PHI_1_weights+y3_PHI_2_weights+y3_PHI_3_weights+y3_PHI_4_weights+y3_PHI_5_weights+y3_PHI_6_weights+y3_PHI_7_weights+y3_PHI_8_weights+y3_PHI_9_weights+y3_PHI_10_weights+y3_PHI_11_weights+y3_PHI_12_weights+y3_PHI_13_weights+y3_PHI_14_weights+y3_PHI_15_weights+y3_PHI_16_weights) if x])/100. # log scale plt.gca().set_ylim(ymin,ymax) # Log/Linear scale for X-axis plt.gca().set_xscale("linear") #plt.gca().set_xscale("log",nonposx="clip") # Log/Linear scale for Y-axis plt.gca().set_yscale("linear") #plt.gca().set_yscale("log",nonposy="clip") # Legend plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.) # Saving the image plt.savefig('../../HTML/MadAnalysis5job_0/selection_2.png') plt.savefig('../../PDF/MadAnalysis5job_0/selection_2.png') plt.savefig('../../DVI/MadAnalysis5job_0/selection_2.eps') # Running! if __name__ == '__main__': selection_2()

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null

0

1

0

1

0

null

0

4

508892e53e3d44dad0c92251e574ecfa9c71280d

72

py

Python

moltin/url.py

YuraHavrylko/python-sdk

899886e54bfcb6c0fb918a9a65a3f1ccefe7d96b

[ "MIT" ]

8

2015-06-12T21:40:40.000Z

2019-01-25T02:57:30.000Z

moltin/url.py

YuraHavrylko/python-sdk

899886e54bfcb6c0fb918a9a65a3f1ccefe7d96b

[ "MIT" ]

9

2016-02-12T17:19:38.000Z

2018-10-09T01:51:31.000Z

moltin/url.py

YuraHavrylko/python-sdk

899886e54bfcb6c0fb918a9a65a3f1ccefe7d96b

[ "MIT" ]

14

2016-02-11T22:14:13.000Z

2020-09-07T18:19:31.000Z

def sanitize_url_fragment(fragment): return fragment.strip("/ ")

36

0.708333

8

72

6.125

0.75

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36

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0

null

0

1

0

1

0

4

50928593a7ed717c583d4643bcad78d4b4867b87

211

py

Python

ats/admin.py

bitrecruiter/ats_project

cf363d6163a2b9369839b476b60908f2982f80b3

[ "WTFPL" ]

null

ats/admin.py

bitrecruiter/ats_project

cf363d6163a2b9369839b476b60908f2982f80b3

[ "WTFPL" ]

null

ats/admin.py

bitrecruiter/ats_project

cf363d6163a2b9369839b476b60908f2982f80b3

[ "WTFPL" ]

3

2016-07-20T11:17:37.000Z

2018-12-31T06:00:27.000Z

from django.contrib import admin from ats.models import Job class JobAdmin(admin.ModelAdmin): # ... list_display = ('company', 'job_title', 'location', 'created_at') admin.site.register(Job, JobAdmin)

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null

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50ab328a4f2f6bf029a234d71f48a4b79216ca09

33

py

Python

ibsng/handler/bw/__init__.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

6

2018-03-06T10:16:36.000Z

2021-12-05T12:43:10.000Z

ibsng/handler/bw/__init__.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

3

2018-03-06T10:27:08.000Z

2022-01-02T15:21:27.000Z

ibsng/handler/bw/__init__.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

3

2018-01-06T16:28:31.000Z

2018-09-17T19:47:19.000Z

"""Bandwidth handler library."""

16.5

32

0.69697

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1

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null

0

1

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4

50c64fb772dfdcc42485cb601f2f4f1172dbc30b

452

py

Python

readvol.py

kvchen/snowsim

09a75f24e86cc340ed327074904255fb08a3e7eb

[ "MIT" ]

null

readvol.py

kvchen/snowsim

09a75f24e86cc340ed327074904255fb08a3e7eb

[ "MIT" ]

1

2017-08-14T16:38:11.000Z

readvol.py

kvchen/snowsim

09a75f24e86cc340ed327074904255fb08a3e7eb

[ "MIT" ]

null

import struct def main(): with open("smoke.vol", "rb") as infile: data = infile.read() print(data[2]) print(struct.unpack("<f", data[24:28])) print(struct.unpack("<f", data[28:32])) print(struct.unpack("<f", data[32:36])) print(struct.unpack("<f", data[36:40])) print(struct.unpack("<f", data[40:44])) print(struct.unpack("<f", data[44:48])) if __name__ == "__main__": main()

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null

1

0

null

0

1

0

4

50c98b0d484e83f3da293b6616b40dde21bff508

48

py

Python

pawan/lib/python3.6/io.py

pawannn29/projectdjango

a2c269b99676109a9a28f1ff3bc26b3d7779056c

[ "bzip2-1.0.6" ]

null

pawan/lib/python3.6/io.py

pawannn29/projectdjango

a2c269b99676109a9a28f1ff3bc26b3d7779056c

[ "bzip2-1.0.6" ]

null

pawan/lib/python3.6/io.py

pawannn29/projectdjango

a2c269b99676109a9a28f1ff3bc26b3d7779056c

[ "bzip2-1.0.6" ]

null

/Users/NikhilArora/anaconda3/lib/python3.6/io.py

48

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1

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null

0

1

0

null

0

1

0

4

50db8b82689cb49216081b11abe0aca6efe4a8ae

1,881

py

Python

DailyProgrammer/DP20130107A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

2

2020-12-23T18:59:22.000Z

2021-04-14T13:16:09.000Z

DailyProgrammer/DP20130107A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

DailyProgrammer/DP20130107A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

""" [01/07/13] Challenge #116 [Easy] Permutation of a string https://www.reddit.com/r/dailyprogrammer/comments/164zvs/010713_challenge_116_easy_permutation_of_a_string/ # [](#EasyIcon) *(Easy)*: Permutation of a string Write a function that prints all of the permutatons of the unique characters of a given string. For example, permute("baz") would print: baz bza abz azb zba zab Find all the permutations of daily. *Author: skeeto* # Formal Inputs & Outputs ## Input Description Your function should accept a single string variable which is guaranteed to be at least 1 character long. ## Output Description Print all permutations of the given string variable. # Sample Inputs & Outputs ## Sample Input Let the string argument be "ab" ## Sample Output All permutations of "ab" would be ["ab", "ba"] # Challenge Input Let the string argument be "abbccc" ## Challenge Input Solution abbccc abcbcc abccbc abcccb acbbcc acbcbc acbccb accbbc accbcb acccbb babccc bacbcc baccbc bacccb bbaccc bbcacc bbccac bbccca bcabcc bcacbc bcaccb bcbacc bcbcac bcbcca bccabc bccacb bccbac bccbca bcccab bcccba cabbcc cabcbc cabccb cacbbc cacbcb caccbb cbabcc cbacbc cbaccb cbbacc cbbcac cbbcca cbcabc cbcacb cbcbac cbcbca cbccab cbccba ccabbc ccabcb ccacbb ccbabc ccbacb ccbbac ccbbca ccbcab ccbcba cccabb cccbab cccbba # Note * Bonus 1: Instead of printing, be functional. Return a collection (array, etc.) of the permutations. * Bonus 2: Correctly handle the case when the input contains a character multiple times. That is, don't output repeats and ensure the output contains the same number of characters as the input. For example, there are three permutations of foo: foo, ofo, oof. * Note that this challenge is a near-duplicate of challenge #12, hence why there is the above "bonus" challenges """ def main(): pass if __name__ == "__main__": main()

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Python

tests/__init__.py

vyahello/pytest-confluence-report

61069ee4e5f46a4535a71b5877a8e4b2ddf3b921

[ "MIT" ]

5

2021-01-29T18:13:06.000Z

2021-11-17T06:49:27.000Z

tests/__init__.py

utestpy/pytest-confluence-report

c50e3c57776c8292fd0e097e8d2f858d730b9130

[ "MIT" ]

18

2020-10-02T19:52:03.000Z

2022-02-03T12:06:04.000Z

tests/__init__.py

utestpy/pytest-confluence-report

c50e3c57776c8292fd0e097e8d2f858d730b9130

[ "MIT" ]

3

2020-10-19T10:43:38.000Z

2022-02-02T21:17:01.000Z

"""Package contains a set of interfaces to test `pytest confluence report` application."""

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py

Python

raytrace3/mat.py

fijal/graphic-experiments

4ea57bfbf07631a3584099f07a355adbbf36e750

[ "MIT" ]

null

raytrace3/mat.py

fijal/graphic-experiments

4ea57bfbf07631a3584099f07a355adbbf36e750

[ "MIT" ]

null

raytrace3/mat.py

fijal/graphic-experiments

4ea57bfbf07631a3584099f07a355adbbf36e750

[ "MIT" ]

null

class Material(object): def __init__(self, diffuse_color, mirror=0.05, softness=0.03): self.diffuse_color = diffuse_color self.mirror = mirror self.softness = softness

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ba115f22b471d4232c227650d03989734c501ccb

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py

Python

thirdparty/org/apache/arrow/flatbuf/Buffer.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

5

2019-01-15T12:31:49.000Z

2021-03-05T21:17:13.000Z

thirdparty/org/apache/arrow/flatbuf/Buffer.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

19

2018-07-18T07:15:44.000Z

2021-02-22T17:00:18.000Z

thirdparty/org/apache/arrow/flatbuf/Buffer.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

2

2020-05-01T09:54:34.000Z

2021-04-17T10:57:07.000Z

# automatically generated by the FlatBuffers compiler, do not modify # namespace: flatbuf import flatbuffers # /// ---------------------------------------------------------------------- # /// A Buffer represents a single contiguous memory segment class Buffer(object): __slots__ = ['_tab'] # Buffer def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # /// The shared memory page id where this buffer is located. Currently this is # /// not used # Buffer def Page(self): return self._tab.Get(flatbuffers.number_types.Int32Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(0)) # /// The relative offset into the shared memory page where the bytes for this # /// buffer starts # Buffer def Offset(self): return self._tab.Get(flatbuffers.number_types.Int64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(8)) # /// The absolute length (in bytes) of the memory buffer. The memory is found # /// from offset (inclusive) to offset + length (non-inclusive). # Buffer def Length(self): return self._tab.Get(flatbuffers.number_types.Int64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(16)) def CreateBuffer(builder, page, offset, length): builder.Prep(8, 24) builder.PrependInt64(length) builder.PrependInt64(offset) builder.Pad(4) builder.PrependInt32(page) return builder.Offset()

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ba2b3fd0141de5eea5aa55de2d5b5a870fc74919

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py

Python

asgi_websub/exceptions.py

Kludex/fastapi-websub

1e109545e9ae26f9e36f10252ed321c41053224e

[ "MIT" ]

1

2021-02-10T13:01:17.000Z

asgi_websub/exceptions.py

Kludex/fastapi-websub

1e109545e9ae26f9e36f10252ed321c41053224e

[ "MIT" ]

null

asgi_websub/exceptions.py

Kludex/fastapi-websub

1e109545e9ae26f9e36f10252ed321c41053224e

[ "MIT" ]

null

class ASGIWebSubException(Exception): ... class HubNotFoundException(ASGIWebSubException): ... class TopicNotFoundException(ASGIWebSubException): ... class SubscriptionException(ASGIWebSubException): ...

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ba2ce86e286451be55a57b1a59a5d7516ef19433

5,765

py

Python

scanpy/tests/test_metrics.py

PauBadiaM/scanpy

560bd5d348a502d5152eaf20f5f8bef794562a97

[ "BSD-3-Clause" ]

null

scanpy/tests/test_metrics.py

PauBadiaM/scanpy

560bd5d348a502d5152eaf20f5f8bef794562a97

[ "BSD-3-Clause" ]

null

scanpy/tests/test_metrics.py

PauBadiaM/scanpy

560bd5d348a502d5152eaf20f5f8bef794562a97

[ "BSD-3-Clause" ]

null

from operator import eq from string import ascii_letters import numpy as np import pandas as pd import scanpy as sc from scipy import sparse def test_gearys_c_consistency(): pbmc = sc.datasets.pbmc68k_reduced() pbmc.layers["raw"] = pbmc.raw.X.copy() g = pbmc.obsp["connectivities"] assert eq( sc.metrics.gearys_c(g, pbmc.obs["percent_mito"]), sc.metrics.gearys_c(pbmc, vals=pbmc.obs["percent_mito"]), ) assert eq( # Test that series and vectors return same value sc.metrics.gearys_c(g, pbmc.obs["percent_mito"]), sc.metrics.gearys_c(g, pbmc.obs["percent_mito"].values), ) np.testing.assert_array_equal( sc.metrics.gearys_c(pbmc, obsm="X_pca"), sc.metrics.gearys_c(g, pbmc.obsm["X_pca"].T), ) all_genes = sc.metrics.gearys_c(pbmc, layer="raw") first_gene = sc.metrics.gearys_c( pbmc, vals=pbmc.obs_vector(pbmc.var_names[0], layer="raw") ) np.testing.assert_allclose(all_genes[0], first_gene) # Test that results are similar for sparse and dense reps of same data np.testing.assert_allclose( sc.metrics.gearys_c(pbmc, layer="raw"), sc.metrics.gearys_c(pbmc, vals=pbmc.layers["raw"].T.toarray()), ) def test_gearys_c_correctness(): # Test case with perfectly seperated groups connected = np.zeros(100) connected[np.random.choice(100, size=30, replace=False)] = 1 graph = np.zeros((100, 100)) graph[np.ix_(connected.astype(bool), connected.astype(bool))] = 1 graph[np.ix_(~connected.astype(bool), ~connected.astype(bool))] = 1 graph = sparse.csr_matrix(graph) assert sc.metrics.gearys_c(graph, connected) == 0.0 assert eq( sc.metrics.gearys_c(graph, connected), sc.metrics.gearys_c(graph, sparse.csr_matrix(connected)), ) # Check for anndata > 0.7 if hasattr(sc.AnnData, "obsp"): # Checking that obsp works adata = sc.AnnData( sparse.csr_matrix((100, 100)), obsp={"connectivities": graph} ) assert sc.metrics.gearys_c(adata, vals=connected) == 0.0 def test_morans_i_consistency(): pbmc = sc.datasets.pbmc68k_reduced() pbmc.layers["raw"] = pbmc.raw.X.copy() g = pbmc.obsp["connectivities"] assert eq( sc.metrics.morans_i(g, pbmc.obs["percent_mito"]), sc.metrics.morans_i(pbmc, vals=pbmc.obs["percent_mito"]), ) assert eq( # Test that series and vectors return same value sc.metrics.morans_i(g, pbmc.obs["percent_mito"]), sc.metrics.morans_i(g, pbmc.obs["percent_mito"].values), ) np.testing.assert_array_equal( sc.metrics.morans_i(pbmc, obsm="X_pca"), sc.metrics.morans_i(g, pbmc.obsm["X_pca"].T), ) all_genes = sc.metrics.morans_i(pbmc, layer="raw") first_gene = sc.metrics.morans_i( pbmc, vals=pbmc.obs_vector(pbmc.var_names[0], layer="raw") ) np.testing.assert_allclose(all_genes[0], first_gene, rtol=1e-5) # Test that results are similar for sparse and dense reps of same data np.testing.assert_allclose( sc.metrics.morans_i(pbmc, layer="raw"), sc.metrics.morans_i(pbmc, vals=pbmc.layers["raw"].T.toarray()), ) def test_morans_i_correctness(): # Test case with perfectly seperated groups connected = np.zeros(100) connected[np.random.choice(100, size=50, replace=False)] = 1 graph = np.zeros((100, 100)) graph[np.ix_(connected.astype(bool), connected.astype(bool))] = 1 graph[np.ix_(~connected.astype(bool), ~connected.astype(bool))] = 1 graph = sparse.csr_matrix(graph) assert sc.metrics.morans_i(graph, connected) == 1.0 assert eq( sc.metrics.morans_i(graph, connected), sc.metrics.morans_i(graph, sparse.csr_matrix(connected)), ) # Check for anndata > 0.7 if hasattr(sc.AnnData, "obsp"): # Checking that obsp works adata = sc.AnnData( sparse.csr_matrix((100, 100)), obsp={"connectivities": graph} ) assert sc.metrics.morans_i(adata, vals=connected) == 1.0 def test_confusion_matrix(): mtx = sc.metrics.confusion_matrix(["a", "b"], ["c", "d"], normalize=False) assert mtx.loc["a", "c"] == 1 assert mtx.loc["a", "d"] == 0 assert mtx.loc["b", "d"] == 1 assert mtx.loc["b", "c"] == 0 mtx = sc.metrics.confusion_matrix(["a", "b"], ["c", "d"], normalize=True) assert mtx.loc["a", "c"] == 1.0 assert mtx.loc["a", "d"] == 0.0 assert mtx.loc["b", "d"] == 1.0 assert mtx.loc["b", "c"] == 0.0 mtx = sc.metrics.confusion_matrix( ["a", "a", "b", "b"], ["c", "d", "c", "d"], normalize=True ) assert np.all(mtx == 0.5) def test_confusion_matrix_randomized(): chars = np.array(list(ascii_letters)) pos = np.random.choice(len(chars), size=np.random.randint(50, 150)) a = chars[pos] b = np.random.permutation(chars)[pos] df = pd.DataFrame({"a": a, "b": b}) pd.testing.assert_frame_equal( sc.metrics.confusion_matrix("a", "b", df), sc.metrics.confusion_matrix(df["a"], df["b"]), ) pd.testing.assert_frame_equal( sc.metrics.confusion_matrix(df["a"].values, df["b"].values), sc.metrics.confusion_matrix(a, b), ) def test_confusion_matrix_api(): data = pd.DataFrame( {"a": np.random.randint(5, size=100), "b": np.random.randint(5, size=100)} ) expected = sc.metrics.confusion_matrix(data["a"], data["b"]) pd.testing.assert_frame_equal(expected, sc.metrics.confusion_matrix("a", "b", data)) pd.testing.assert_frame_equal( expected, sc.metrics.confusion_matrix("a", data["b"], data) ) pd.testing.assert_frame_equal( expected, sc.metrics.confusion_matrix(data["a"], "b", data) )

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e8719aaa09b989ec835dc6c2c3335ffb6ccfae8b

229

py

Python

visitor_manage/src/admin.py

parth-27/Visitor-Management-System

575b7ad1a4eecf65e764399ea53e836b8cf1768d

[ "MIT" ]

3

2020-06-30T15:46:56.000Z

2021-11-17T13:13:15.000Z

visitor_manage/src/admin.py

DipikaPawar12/Visitor-Management-System

9585d8613daa4f5a0b0a81cce6850f79db768a64

[ "MIT" ]

1

2021-06-10T19:39:03.000Z

visitor_manage/src/admin.py

DipikaPawar12/Visitor-Management-System

9585d8613daa4f5a0b0a81cce6850f79db768a64

[ "MIT" ]

1

2020-06-30T15:49:07.000Z

from django.contrib import admin from .models import * admin.site.register(SuperAdmin) admin.site.register(User) admin.site.register(Admin) admin.site.register(Visitor) admin.site.register(TemporaryUser) admin.site.register(Faq)

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e87c0a482603d64f363ce49792d6c6897b087044

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py

Python

asaplib/util/util_fft.py

FelixFaber/ASAP

951d9667143095e42f1566816b4ab90d901b56a8

[ "MIT" ]

1

2020-02-25T19:05:25.000Z

asaplib/util/util_fft.py

FelixFaber/ASAP

951d9667143095e42f1566816b4ab90d901b56a8

[ "MIT" ]

null

asaplib/util/util_fft.py

FelixFaber/ASAP

951d9667143095e42f1566816b4ab90d901b56a8

[ "MIT" ]

null

""" TODO: Module-level description """ import numpy as np """ # Fourier analysis of x(t) to obtain $x(\omega)$. ## $FT(x(t)) = x(\omega)$ ## $S_x(\omega)=FT(<x(0)x(t)>) = x(\omega) \cdot x(\omega) $ # In reality we have a list $\{ x_{1...n}\}$ ## $A_k = \sum_{m=0}^{n-1} x_m \exp(-2\pi i \dfrac{m k }{n})$ ## $x(\omega = \dfrac{2\pi}{n\Delta t}k) = \Delta t A_k$ # Fourier analysis of v(t) to obtain $v(\omega)$. ## $FFT(v(t)) = v(\omega)=i\omega x(\omega)$ ## $FFT(<x(0)v(t)>) = -x(\omega) \cdot v(\omega) $ ## $FFT(<x(0)v(t)>) = i \omega x(\omega) \cdot x(\omega) $ ## $FFT(<v(0)v(t)>) = v(\omega) \cdot v(\omega) $ ## $FFT(<v(0)v(t)>) = -(i \omega)^2 x(\omega) \cdot x(\omega) = \omega^2 x(\omega) \cdot x(\omega)$ EXAMPLES: testfx = fftranform(txv[:,[0,1]],len(txv)) fftranform(txv[:,[0,1]],len(txv)) testreversefx = ifftranform(testfx) testftcxx = rfftcrosscorr(txv[:,[0,1]],txv[:,[0,1]],10000) """ def smooth(y, box_pts): box = np.ones(box_pts) / box_pts y_smooth = np.convolve(y, box, mode='same') return y_smooth def fftranform(x, dlen=10000): # input: a list of real signals {x} with timestep dt # output: x(omega) # make sure that we have odd number of signals as it makes fft easier if dlen % 2 == 0: dlen -= 1 # x.append(x[0]) # this is the FFT expansion coeficients assuming inputs are real numbers # https://docs.scipy.org/doc/numpy-1.13.0/reference/routines.fft.html#module-numpy.fft dt = x[1, 0] - x[0, 0] # assume the timestep is constant window = len(x) // dlen # print dlen omega0 = 2.0 * np.pi / (dlen - 1) / dt xomega = np.zeros((dlen, 2), dtype=np.complex_) xomega[0:dlen // 2 + 1, 0] = np.arange(dlen // 2 + 1) * omega0 xomega[dlen // 2 + 1:, 0] = np.arange(dlen // 2, 0, -1) * omega0 * -1 for i in range(window): dx = x[i * dlen:(i + 1) * dlen, 1] Ax = np.fft.fft(dx[:], axis=0) # print len(Ax) xomega[:, 1] += Ax * dt xomega[:, 1] /= window # return [omega, A(omega)] """ when numpy does fft, A[1:n/2] contains the positive-frequency terms, and A[n/2+1:] contains the negative-frequency terms, in order of decreasingly negative frequency. """ return xomega def ifftranform(xomega): # first retrieve the descrete rFFT coefficients # note that numpy uses a normalization factor of 1/n here but not during the forward fft omega0 = xomega[1, 0] - xomega[0, 0] dt = np.pi / (len(xomega) // 2) / omega0 Ax = xomega[:, 1] / dt x = np.fft.ifft(Ax[:], axis=0) return np.column_stack((dt * np.arange(len(x)), x)) def fftcrosscorr(x, y, dlen=10000): # make sure that we have odd number of signals as it makes fft easier if dlen % 2 == 0: dlen -= 1 # x.append(x[0]) # y.append(y[0]) # the fft coecofficents of the crosscorrelation function c_xy(t) dt = x[1, 0] - x[0, 0] # assume the timestep is constant window = len(x) // dlen omega0 = 2.0 * np.pi / (dlen - 1) / dt cxyomega = np.zeros((dlen, 2), dtype=np.complex_) cxyomega[0:dlen // 2 + 1, 0] = np.arange(dlen // 2 + 1) * omega0 cxyomega[dlen // 2 + 1:, 0] = np.arange(dlen // 2, 0, -1) * omega0 * -1 for i in range(window): dx = x[i * dlen:(i + 1) * dlen, 1] dy = y[i * dlen:(i + 1) * dlen, 1] Ax = np.fft.fft(dx[:], axis=0) Ay = np.fft.fft(dy[:], axis=0) cxyomega[:, 1] += np.conjugate(Ax[:]) * Ay[:] / dlen * dt for i in range(window - 1): dx = x[i * dlen + dlen // 2:(i + 1) * dlen + dlen // 2, 1] dy = y[i * dlen + dlen // 2:(i + 1) * dlen + dlen // 2, 1] Ax = np.fft.fft(dx[:], axis=0) Ay = np.fft.fft(dy[:], axis=0) cxyomega[:, 1] += np.conjugate(Ax[:]) * Ay[:] / dlen * dt cxyomega[:, 1] /= (window * 2 - 1) return cxyomega def rfftranform(x, dlen=10000): # input: a list of real signals {x} with timestep dt # output: x(omega) # this is the FFT expansion coeficients assuming inputs are real numbers # https://docs.scipy.org/doc/numpy-1.13.0/reference/routines.fft.html#module-numpy.fft dt = x[1, 0] - x[0, 0] # assume the timestep is constant window = len(x) // dlen # print dlen omega0 = 2.0 * np.pi / dlen / dt xomega = np.zeros((dlen // 2 + 1, 2), dtype=np.complex_) xomega[:, 0] = np.arange(dlen // 2 + 1) * omega0 for i in range(window): dx = x[i * dlen:(i + 1) * dlen, 1] Ax = np.fft.rfft(dx[:], axis=0) # print len(Ax) xomega[:, 1] += Ax * dt xomega[:, 1] /= window # return [omega, A(omega)] """ when numpy does fft, A[1:n/2] contains the positive-frequency terms, and A[n/2+1:] contains the negative-frequency terms, in order of decreasingly negative frequency. Hoever, When the DFT is computed for purely real input, the output is Hermitian-symmetric, i.e. the negative frequency terms are just the complex conjugates of the corresponding positive-frequency terms, and the negative-frequency terms are therefore redundant. This function does not compute the negative frequency terms, and the length of the transformed axis of the output is therefore n//2 + 1 """ return xomega def irfftranform(xomega): # first retrieve the descrete rFFT coefficients # note that numpy uses a normalization factor of 1/n here but not during the forward fft omega0 = xomega[1, 0] - xomega[0, 0] dt = np.pi / len(xomega) / omega0 Ax = xomega[:, 1] / dt x = np.fft.irfft(Ax[:], axis=0) return np.column_stack((dt * np.arange(len(x)), x)) def rfftcrosscorr(x, y, dlen=10000): # the fft coecofficents of the crosscorrelation function c_xy(t) dt = x[1, 0] - x[0, 0] # assume the timestep is constant window = len(x) // dlen omega0 = 2.0 * np.pi / dlen / dt cxyomega = np.zeros((dlen // 2 + 1, 2), dtype=np.complex_) cxyomega[:, 0] = np.arange(dlen // 2 + 1) * omega0 for i in range(window): dx = x[i * dlen:(i + 1) * dlen, 1] dy = y[i * dlen:(i + 1) * dlen, 1] Ax = np.fft.rfft(dx[:], axis=0) Ay = np.fft.rfft(dy[:], axis=0) cxyomega[:, 1] += np.conjugate(Ax[:]) * Ay[:] / dlen * dt for i in range(window - 1): dx = x[i * dlen + dlen // 2:(i + 1) * dlen + dlen // 2, 1] dy = y[i * dlen + dlen // 2:(i + 1) * dlen + dlen // 2, 1] Ax = np.fft.rfft(dx[:], axis=0) Ay = np.fft.rfft(dy[:], axis=0) cxyomega[:, 1] += np.conjugate(Ax[:]) * Ay[:] / dlen * dt cxyomega[:, 1] /= (window * 2 - 1) return cxyomega

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py

Python

mayan/apps/duplicates/__init__.py

nattangwiwat/Mayan-EDMS-recitation

fcf16afb56eae812fb99144d65ae1ae6749de0b7

[ "Apache-2.0" ]

343

2015-01-05T14:19:35.000Z

2018-12-10T19:07:48.000Z

mayan/apps/duplicates/__init__.py

nattangwiwat/Mayan-EDMS-recitation

fcf16afb56eae812fb99144d65ae1ae6749de0b7

[ "Apache-2.0" ]

191

2015-01-03T00:48:19.000Z

2018-11-30T09:10:25.000Z

mayan/apps/duplicates/__init__.py

nattangwiwat/Mayan-EDMS-recitation

fcf16afb56eae812fb99144d65ae1ae6749de0b7

[ "Apache-2.0" ]

257

2019-05-14T10:26:37.000Z

2022-03-30T03:37:36.000Z

default_app_config = 'mayan.apps.duplicates.apps.DuplicatesApp'

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py

Python

src_1gp/demo.py

yvquanli/GLAM

82d91265a517e3b4813197fe2764b36c751657c0

[ "MIT" ]

10

2021-12-22T02:26:34.000Z

2022-02-09T02:42:05.000Z

src_1gp/demo.py

yvquanli/GLAM

82d91265a517e3b4813197fe2764b36c751657c0

[ "MIT" ]

null

src_1gp/demo.py

yvquanli/GLAM

82d91265a517e3b4813197fe2764b36c751657c0

[ "MIT" ]

null

import os os.chdir(os.path.dirname(__file__)) print('Test for dataset.py and run.py!') os.system('python3 ./run.py --dataset demo --dataset_root ./demo --epoch 5 --loss bcel') os.system('rm -rf ./log_demo') print('Demo running...') os.system('python3 ./glam.py --dataset demo --dataset_root ./demo --n_init_configs 5 --n_top_blend 2 --n_high_fidelity_seed 2')

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fa31a1d3d315f6e15d470c93696aba2f7bc77f4e

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py

Python

pyspedas/themis/tests/tests.py

MAVENSDC/pyspedas

05ede2603acb514bc7803be054016142c0851685

[ "MIT" ]

1

2020-07-07T19:52:40.000Z

pyspedas/themis/tests/tests.py

MAVENSDC/pyspedas

05ede2603acb514bc7803be054016142c0851685

[ "MIT" ]

null

pyspedas/themis/tests/tests.py

MAVENSDC/pyspedas

05ede2603acb514bc7803be054016142c0851685

[ "MIT" ]

null

import os import unittest from pyspedas.utilities.data_exists import data_exists import pyspedas class GmagTestCases(unittest.TestCase): def test_get_group(self): from pyspedas.themis.ground.gmag import get_group self.assertTrue(get_group('ccnv') == ['epo']) def test_gmag_list(self): from pyspedas.themis.ground.gmag import gmag_list self.assertTrue(gmag_list()[0:5] == ['abk', 'akul', 'amd', 'amer', 'amk']) def test_gmag_groups(self): from pyspedas.themis.ground.gmag import gmag_groups gmag_table = gmag_groups() self.assertTrue(list(gmag_table.keys())[0:5] == ['kyoto', 'sgu', 'autx', 'ae', 'aari']) def test_check_gmag(self): from pyspedas.themis.ground.gmag import check_gmag self.assertTrue(check_gmag('ccnv') == 1) self.assertTrue(check_gmag('abcd') == 0) class LoadTestCases(unittest.TestCase): def test_load_state_data(self): data = pyspedas.themis.state() self.assertTrue(data_exists('thc_pos')) self.assertTrue(data_exists('thc_vel')) self.assertTrue(data_exists('thc_pos_gsm')) self.assertTrue(data_exists('thc_vel_gse')) def test_load_gmag_data(self): data = pyspedas.themis.gmag() self.assertTrue(data_exists('thg_mag_amer')) self.assertTrue(data_exists('thg_mag_kil')) self.assertTrue(data_exists('thg_mag_eagl')) self.assertTrue(data_exists('thg_mag_leth')) self.assertTrue(data_exists('thg_mag_inuv')) self.assertTrue(data_exists('thg_mag_wrth')) def test_load_sst_data(self): data = pyspedas.themis.sst() self.assertTrue(data_exists('thc_psif_en_eflux')) self.assertTrue(data_exists('thc_psif_density')) self.assertTrue(data_exists('thc_psif_avgtemp')) self.assertTrue(data_exists('thc_psif_vthermal')) def test_load_fgm_data(self): data = pyspedas.themis.fgm() self.assertTrue(data_exists('thc_fgs_btotal')) self.assertTrue(data_exists('thc_fgs_gse')) self.assertTrue(data_exists('thc_fgs_gsm')) def test_load_fit_data(self): data = pyspedas.themis.fit() self.assertTrue(data_exists('thc_fgs_gse')) self.assertTrue(data_exists('thc_fgs_gsm')) def test_load_esa_data(self): data = pyspedas.themis.esa() self.assertTrue(data_exists('thc_peif_density')) self.assertTrue(data_exists('thc_peif_avgtemp')) self.assertTrue(data_exists('thc_peif_en_eflux')) self.assertTrue(data_exists('thc_peif_flux')) def test_load_fft_data(self): data = pyspedas.themis.fft() self.assertTrue(data_exists('thc_ffp_16_edc34')) self.assertTrue(data_exists('thc_ffp_16_edc56')) self.assertTrue(data_exists('thc_ffp_16_scm2')) def test_load_fft_l1_data(self): data = pyspedas.themis.fft(level='l1') self.assertTrue(data_exists('thc_ffp_16')) self.assertTrue(data_exists('thc_ffw_16')) def test_load_fbk_data(self): data = pyspedas.themis.fbk() self.assertTrue(data_exists('thc_fb_hff')) self.assertTrue(data_exists('thc_fb_edc12')) self.assertTrue(data_exists('thc_fb_scm1')) def test_load_mom_data(self): data = pyspedas.themis.mom() self.assertTrue(data_exists('thc_peim_density')) self.assertTrue(data_exists('thc_peim_ptot')) self.assertTrue(data_exists('thc_peim_flux')) self.assertTrue(data_exists('thc_peim_eflux')) self.assertTrue(data_exists('thc_peim_velocity_gse')) # the following isn't working for some reason # def test_load_gmom_data(self): # data = pyspedas.themis.gmom() # self.assertTrue(data_exists('')) def test_load_scm_data(self): data = pyspedas.themis.scm() self.assertTrue(data_exists('thc_scf_btotal')) self.assertTrue(data_exists('thc_scp_gsm')) self.assertTrue(data_exists('thc_scf_gsm')) def test_load_scm_l1_data(self): data = pyspedas.themis.scm(level='l1') self.assertTrue(data_exists('thc_scf')) self.assertTrue(data_exists('thc_scp')) self.assertTrue(data_exists('thc_scw')) def test_load_efi_l1_data(self): data = pyspedas.themis.efi(level='l1') self.assertTrue(data_exists('thc_eff')) self.assertTrue(data_exists('thc_efp')) self.assertTrue(data_exists('thc_efw')) self.assertTrue(data_exists('thc_vaf')) def test_load_efi_data(self): data = pyspedas.themis.efi(time_clip=True) self.assertTrue(data_exists('thc_eff_e12_efs')) self.assertTrue(data_exists('thc_eff_e34_efs')) def test_downloadonly(self): files = pyspedas.themis.efi(downloadonly=True, trange=['2014-2-15', '2014-2-16']) self.assertTrue(os.path.exists(files[0])) if __name__ == '__main__': unittest.main()

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fa32012cd1b7d114fb1354eba16dd29a3952f35c

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py

Python

jsk/__init__.py

Kuro-Rui/flare-cogs

f739e3a4a8c65bf0e10945d242ba0b82f96c6d3d

[ "MIT" ]

38

2021-03-07T17:13:10.000Z

2022-02-28T19:50:00.000Z

jsk/__init__.py

Kuro-Rui/flare-cogs

f739e3a4a8c65bf0e10945d242ba0b82f96c6d3d

[ "MIT" ]

44

2021-03-12T19:13:32.000Z

2022-03-18T10:20:52.000Z

jsk/__init__.py

Kuro-Rui/flare-cogs

f739e3a4a8c65bf0e10945d242ba0b82f96c6d3d

[ "MIT" ]

33

2021-03-08T18:59:59.000Z

2022-03-23T10:57:46.000Z

from .jishaku_cog import Jishaku def setup(bot): bot.add_cog(Jishaku(bot=bot))

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py

Python

pytpp/attributes/log_adaptable.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

4

2022-02-04T23:58:55.000Z

2022-02-15T18:53:08.000Z

pytpp/attributes/log_adaptable.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

pytpp/attributes/log_adaptable.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

from pytpp.attributes._helper import IterableMeta, Attribute from pytpp.attributes.log_channel import LogChannelAttributes class LogAdaptableAttributes(LogChannelAttributes, metaclass=IterableMeta): __config_class__ = "Log Adaptable" adaptable_logging_channel_text_field_1 = Attribute('Adaptable Logging Channel Text Field 1', min_version='17.1') adaptable_logging_channel_text_field_10 = Attribute('Adaptable Logging Channel Text Field 10', min_version='17.1') adaptable_logging_channel_text_field_11 = Attribute('Adaptable Logging Channel Text Field 11', min_version='17.1') adaptable_logging_channel_text_field_12 = Attribute('Adaptable Logging Channel Text Field 12', min_version='17.1') adaptable_logging_channel_text_field_2 = Attribute('Adaptable Logging Channel Text Field 2', min_version='17.1') adaptable_logging_channel_text_field_3 = Attribute('Adaptable Logging Channel Text Field 3', min_version='17.1') adaptable_logging_channel_text_field_4 = Attribute('Adaptable Logging Channel Text Field 4', min_version='17.1') adaptable_logging_channel_text_field_5 = Attribute('Adaptable Logging Channel Text Field 5', min_version='17.1') adaptable_logging_channel_text_field_6 = Attribute('Adaptable Logging Channel Text Field 6', min_version='17.1') adaptable_logging_channel_text_field_7 = Attribute('Adaptable Logging Channel Text Field 7', min_version='17.1') adaptable_logging_channel_text_field_8 = Attribute('Adaptable Logging Channel Text Field 8', min_version='17.1') adaptable_logging_channel_text_field_9 = Attribute('Adaptable Logging Channel Text Field 9', min_version='17.1') credential = Attribute('Credential', min_version='17.1') log_debug = Attribute('Log Debug', min_version='19.3') oauth_token_application_id = Attribute('OAuth Token Application Id', min_version='21.3') oauth_token_credential = Attribute('OAuth Token Credential', min_version='21.3') oauth_token_scope = Attribute('OAuth Token Scope', min_version='21.3') powershell_script = Attribute('PowerShell Script', min_version='17.1') powershell_script_hash_vault_id = Attribute('PowerShell Script Hash Vault Id', min_version='18.4') script_execution_timeout = Attribute('Script Execution Timeout', min_version='20.2') secondary_credential = Attribute('Secondary Credential', min_version='17.4') service_address = Attribute('Service Address', min_version='17.1')

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py

Python

djangoRESTRoot/REST/serializers.py

EliasEriksson/DemoDjangoREST

4281d66cdd8723a89511bf199b41a6dc975a49f0

[ "MIT" ]

null

djangoRESTRoot/REST/serializers.py

EliasEriksson/DemoDjangoREST

4281d66cdd8723a89511bf199b41a6dc975a49f0

[ "MIT" ]

null

djangoRESTRoot/REST/serializers.py

EliasEriksson/DemoDjangoREST

4281d66cdd8723a89511bf199b41a6dc975a49f0

[ "MIT" ]

null

from rest_framework import serializers from .models import Course class CoursesSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Course fields = ["code", "name", "progression", "plan"]

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py

Python

src/MacVim/icons/setup.py

xurui1983/macvim

0d6af3db925d5636cc8e3092a0b2ca5e1ca6cd1f

[ "Vim" ]

1,457

2015-01-02T08:48:47.000Z

2022-01-22T13:50:17.000Z

src/MacVim/icons/setup.py

xurui1983/macvim

0d6af3db925d5636cc8e3092a0b2ca5e1ca6cd1f

[ "Vim" ]

9

2015-01-10T12:44:08.000Z

2015-12-28T06:41:01.000Z

src/MacVim/icons/setup.py

xurui1983/macvim

0d6af3db925d5636cc8e3092a0b2ca5e1ca6cd1f

[ "Vim" ]

182

2015-01-01T00:03:56.000Z

2022-03-28T12:16:32.000Z

from distutils.core import setup, Extension setup(name="loadfont", version="1.0", ext_modules = [Extension("loadfont", ["loadfont.c"])])

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d71237dc8ca1dbfaa5d7a898b2c99ba2b8efa0aa

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py

Python

src/qt/qtwebkit/Tools/QueueStatusServer/model/queues.py

viewdy/phantomjs

eddb0db1d253fd0c546060a4555554c8ee08c13c

[ "BSD-3-Clause" ]

1

2015-05-27T13:52:20.000Z

src/qt/qtwebkit/Tools/QueueStatusServer/model/queues.py

mrampersad/phantomjs

dca6f77a36699eb4e1c46f7600cca618f01b0ac3

[ "BSD-3-Clause" ]

null

src/qt/qtwebkit/Tools/QueueStatusServer/model/queues.py

mrampersad/phantomjs

dca6f77a36699eb4e1c46f7600cca618f01b0ac3

[ "BSD-3-Clause" ]

1

2017-03-19T13:03:23.000Z

# Copyright (C) 2010 Google Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following disclaimer # in the documentation and/or other materials provided with the # distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import re from config.queues import all_queue_names from model.activeworkitems import ActiveWorkItems from model.workitems import WorkItems class Queue(object): def __init__(self, name): assert(name in all_queue_names) self._name = name @classmethod def queue_with_name(cls, queue_name): if queue_name not in all_queue_names: return None return Queue(queue_name) @classmethod def all(cls): return [Queue(name) for name in all_queue_names] @classmethod def all_ews(cls): return [queue for queue in cls.all() if queue.is_ews()] def name(self): return self._name def work_items(self): return WorkItems.lookup_by_queue(self._name) # FIXME: active_work_items is a bad name for this lock-table. def active_work_items(self): return ActiveWorkItems.lookup_by_queue(self._name) def _caplitalize_after_dash(self, string): return "-".join([word[0].upper() + word[1:] for word in string.split("-")]) # For use in status bubbles or table headers def short_name(self): short_name = self._name.replace("-ews", "") short_name = short_name.replace("-queue", "") return self._caplitalize_after_dash(short_name.capitalize()) def display_name(self): display_name = self._name.replace("-", " ") display_name = display_name.title() display_name = display_name.replace("Wk2", "WK2") display_name = display_name.replace("Ews", "EWS") return display_name _dash_regexp = re.compile("-") def name_with_underscores(self): return self._dash_regexp.sub("_", self._name) def is_ews(self): # Note: The style-queue is just like an EWS in that it has an EWS # bubble, and it works off of the r? patches. If at some later # point code wants to not treat the style-queue as an EWS # (e.g. expecting is_ews() queues to have build results?) # then we should fix all callers and change this check. return self._name.endswith("-ews") or self._name == "style-queue"

38.914894

83

0.711318

519

3,658

4.88632

0.39499

0.031546

0.020505

0.017744

0.126972

0.053628

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0.002775

0.211864

3,658

93

84

39.333333

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0.511482

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0.071429

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0.024543

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0.285714

false

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0.095238

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0.714286

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null

0

null

0

1

0

1

0

1

0

4

d7541141a11f8a88d76e2a0c32856ff035efcd57

95

py

Python

beta/api/zaif/__init__.py

black0144/vnpy

0d0ea30dad14a0150f7500ff9a62528030321426

[ "MIT" ]

3

2018-09-29T03:04:37.000Z

2020-02-10T15:58:11.000Z

beta/api/zaif/__init__.py

black0144/vnpy

0d0ea30dad14a0150f7500ff9a62528030321426

[ "MIT" ]

1

2018-06-12T10:08:24.000Z

beta/api/zaif/__init__.py

black0144/vnpy

0d0ea30dad14a0150f7500ff9a62528030321426

[ "MIT" ]

2

2020-04-26T08:33:05.000Z

2020-12-02T07:54:43.000Z

# encoding: UTF-8 from __future__ import absolute_import from .vnzaif import TradeApi, DataApi

23.75

38

0.821053

13

95

5.615385

0.769231

0

0.012048

0.126316

95

4

39

23.75

0.86747

0.157895

0

1

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true

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null

0

1

0

null

0

1

0

1

0

4

d755aa9c22eb4f27200c2e2110a17f97c4adfe0e

129

py

Python

src/student2/admin.py

Ehsan-Home/drag_and_drop_in_tables

865079999e42a6f3dceb6814b69091580c1440b8

[ "MIT" ]

3

2020-03-08T09:14:38.000Z

2020-08-29T00:19:38.000Z

src/student2/admin.py

Ehsan-Home/drag_and_drop_in_tables

865079999e42a6f3dceb6814b69091580c1440b8

[ "MIT" ]

null

src/student2/admin.py

Ehsan-Home/drag_and_drop_in_tables

865079999e42a6f3dceb6814b69091580c1440b8

[ "MIT" ]

null

from django.contrib import admin from student2.models import Student2 # Register your models here. admin.site.register(Student2)

25.8

36

0.829457

18

129

5.944444

0.611111

0

0.026087

0.108527

129

5

37

25.8

0.904348

0.20155

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d76967dc77252f7d5e69156306d72b2016f57359

50

py

Python

python_prueba.py

jomih/Python_Automation_Training

048b50b66bfa117df7e21bce47617a01a68344b5

[ "MIT" ]

null

python_prueba.py

jomih/Python_Automation_Training

048b50b66bfa117df7e21bce47617a01a68344b5

[ "MIT" ]

null

python_prueba.py

jomih/Python_Automation_Training

048b50b66bfa117df7e21bce47617a01a68344b5

[ "MIT" ]

null

for i in range (10): print 'master branch ',i

16.666667

28

0.62

9

50

3.444444

0.888889

0

0.054054

0.26

50

2

29

25

0.783784

0

0.28

0

null

0

null

0.5

1

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null

0

1

0

null

0

1

0

1

0

4

d771a407894f635aabaebb3d9638ed0e4f3162c6

392

py

Python

stdnet/tests/__init__.py

TheProjecter/python-stdnet

059be991bea40c0281dac12459539d0aa4397823

[ "BSD-3-Clause" ]

null

stdnet/tests/__init__.py

TheProjecter/python-stdnet

059be991bea40c0281dac12459539d0aa4397823

[ "BSD-3-Clause" ]

null

stdnet/tests/__init__.py

TheProjecter/python-stdnet

059be991bea40c0281dac12459539d0aa4397823

[ "BSD-3-Clause" ]

null

#from odict import * #from backend_tests import * #from strings import * #from manager import * #from finance import * from fktest import * #from atomfields import * # Data-structure Fields #from listfield import * #from ordered_set import * #from hashfield import * # Many to many Field #from twitter import * #from testme import * # Contrib #from stdnet.contrib.timeserie.tests import *

19.6

45

0.752551

52

392

5.634615

0.480769

0.307167

0

0.165816

392

20

45

19.6

0.896024

0.862245

0

1

0

true

0

1

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1

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null

1

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1

0

null

0

1

0

1

0

4

d786be8c468a21f61b53c19c81357d7ac399899c

424

py

Python

TouchType/practica/admin.py

Francisco-Galindo/Mecanopractica

cdb6b99bab9ef4e02e7a9705891a25c2426fc290

[ "MIT" ]

null

TouchType/practica/admin.py

Francisco-Galindo/Mecanopractica

cdb6b99bab9ef4e02e7a9705891a25c2426fc290

[ "MIT" ]

null

TouchType/practica/admin.py

Francisco-Galindo/Mecanopractica

cdb6b99bab9ef4e02e7a9705891a25c2426fc290

[ "MIT" ]

null

from django.contrib import admin from .models import Group, User, Substring_es, Words_es, Text_Author, Text_Mode, Text, Session, Tip # Register your models here. admin.site.register(User) admin.site.register(Substring_es) admin.site.register(Words_es) admin.site.register(Text_Author) admin.site.register(Text_Mode) admin.site.register(Text) admin.site.register(Session) admin.site.register(Group) admin.site.register(Tip)

30.285714

99

0.813679

65

424

5.184615

0.307692

0.240356

0.454006

0.186944

0

0.073113

424

13

100

32.615385

0.857506

0.061321

0

1

0

true

0

0.181818

0

0.181818

0

null

1

0

null

0

1

0

4

ad0614a1ba0d74d4dd0dd05026c9f796f50675ce

1,445

py

Python

simple_time_card/resources.py

Pathfinder216/simple-time-card

d4a41c4e388893bf2cca25b98108ce66e4fdb6cd

[ "MIT" ]

null

simple_time_card/resources.py

Pathfinder216/simple-time-card

d4a41c4e388893bf2cca25b98108ce66e4fdb6cd

[ "MIT" ]

null

simple_time_card/resources.py

Pathfinder216/simple-time-card

d4a41c4e388893bf2cca25b98108ce66e4fdb6cd

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.14.0) # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore qt_resource_data = b"\ \x00\x00\x00\x1c\ \x5b\ \x43\x6f\x6e\x74\x72\x6f\x6c\x73\x5d\x0d\x0a\x53\x74\x79\x6c\x65\ \x3d\x4d\x61\x74\x65\x72\x69\x61\x6c\x0d\x0a\ " qt_resource_name = b"\ \x00\x15\ \x08\x1e\x16\x66\ \x00\x71\ \x00\x74\x00\x71\x00\x75\x00\x69\x00\x63\x00\x6b\x00\x63\x00\x6f\x00\x6e\x00\x74\x00\x72\x00\x6f\x00\x6c\x00\x73\x00\x32\x00\x2e\ \x00\x63\x00\x6f\x00\x6e\x00\x66\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x6f\xde\x0e\xdc\xb3\ " qt_version = [int(v) for v in QtCore.qVersion().split('.')] if qt_version < [5, 8, 0]: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

27.264151

129

0.730796

269

1,445

3.784387

0.327138

0.294695

0.344794

0.330059

0.409627

0.346758

0.302554

0

0.221456

0.096886

1,445

52

130

27.788462

0.558621

0.10519

0

0.111111

0

0.194444

0.000778

0

1

0.055556

false

0

0.027778

0

0.083333

0

null

1

0

1

0

null

0

4

ad403b6f92536edf3dfe94009bbffcaf87bb90d3

162

py

Python

src/drone_ai/scripts/snippets/training.py

ElHouas/drone_sim

e42f49d8536855516b3881c016f828e8525e4af3

[ "MIT" ]

null

src/drone_ai/scripts/snippets/training.py

ElHouas/drone_sim

e42f49d8536855516b3881c016f828e8525e4af3

[ "MIT" ]

null

src/drone_ai/scripts/snippets/training.py

ElHouas/drone_sim

e42f49d8536855516b3881c016f828e8525e4af3

[ "MIT" ]

1

2020-12-18T21:14:33.000Z

#! /usr/bin/env python import gym import time import numpy import random import time from gym import wrappers # ROS packages required import rospy import rospkg

13.5

24

0.802469

25

162

5.2

0.64

0.138462

0

0.160494

162

12

25

13.5

0.955882

0.265432

0

0.25

0

1

0

true

0

1

0

1

0

1

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null

0

null

0

1

0

1

0

1

0

4

ad7f74167febc8b1c77917eb22b1a58eeafa335a

1,670

py

Python

analysis/forms.py

NilaiVemula/pycellfit-web

9b18a4af7ad2ad22883b3449c3cbf1123f7c4716

[ "MIT" ]

null

analysis/forms.py

NilaiVemula/pycellfit-web

9b18a4af7ad2ad22883b3449c3cbf1123f7c4716

[ "MIT" ]

3

2020-08-03T22:27:31.000Z

2021-06-25T15:41:57.000Z

analysis/forms.py

NilaiVemula/pycellfit-web

9b18a4af7ad2ad22883b3449c3cbf1123f7c4716

[ "MIT" ]

null

from django import forms class ImageUploadForm(forms.Form): image = forms.ImageField() class ParametersForm(forms.Form): name = forms.CharField(max_length=100) # Image base64_image = forms.CharField(max_length=100000000, widget=forms.HiddenInput()) # Mesh Generation avg_num_nodes_per_edge = forms.IntegerField(min_value=2, max_value=20) TANGENT_CHOICES = [ ('circle', 'Circle Fit'), ('nearest_segment', 'Nearest Segment'), ('chord', 'Chord') ] # CellFIT Formulation tangent_vector_method = forms.ChoiceField(label='Method for calculating tangent vector',choices=TANGENT_CHOICES) # CellFIT Solver tensions = forms.BooleanField(required=False) pressures = forms.BooleanField(required=False) condition_numbers = forms.BooleanField(required=False) standard_errors = forms.BooleanField(required=False) residuals = forms.BooleanField(required=False) exclude_short_edges = forms.BooleanField(required=False) exclude_outside_edges = forms.BooleanField(required=False) # Display segmented_image = forms.BooleanField(required=False) mesh = forms.BooleanField(required=False) tangent_vectors = forms.BooleanField(required=False) circle_fit_arcs = forms.BooleanField(required=False) tensions = forms.BooleanField(required=False) pressures = forms.BooleanField(required=False) residual_vectors = forms.BooleanField(required=False) nodes = forms.BooleanField(required=False) edge_ids = forms.BooleanField(required=False) cell_ids = forms.BooleanField(required=False) junction_ids = forms.BooleanField(required=False)

40.731707

116

0.737725

181

1,670

6.651934

0.381215

0.254153

0.373754

0.448505

0.366279

0.127907

0

0.012178

0.164072

1,670

40

117

41.75

0.850287

0.038323

0

0.129032

0

0.058198

0

1

0

false

0

0.032258

0

0.870968

0

null

1

0

null

0

1

0

4

d10bb6e8d5a031760c9e0f75ec5b057cbe7cbbab

1,213

py

Python

tests/events/listFirstPageOfEventsTest.py

nathanielwarner/seatsio-python

e731ed0c37f2496c620b40e38527a58bf3b9a9b2

[ "MIT" ]

2

2018-03-29T18:21:01.000Z

2022-02-08T10:49:47.000Z

tests/events/listFirstPageOfEventsTest.py

nathanielwarner/seatsio-python

e731ed0c37f2496c620b40e38527a58bf3b9a9b2

[ "MIT" ]

7

2018-09-03T12:31:52.000Z

2022-02-01T08:25:09.000Z

tests/events/listFirstPageOfEventsTest.py

nathanielwarner/seatsio-python

e731ed0c37f2496c620b40e38527a58bf3b9a9b2

[ "MIT" ]

2

2020-12-22T09:51:07.000Z

2021-12-13T15:37:14.000Z

from tests.seatsioClientTest import SeatsioClientTest from tests.util.asserts import assert_that class ListFirstPageOfEventsTest(SeatsioClientTest): def test_allOnFirstPage(self): chart = self.client.charts.create() event1 = self.client.events.create(chart.key) event2 = self.client.events.create(chart.key) event3 = self.client.events.create(chart.key) events = self.client.events.list_first_page() assert_that(events.items).extracting("id").contains_exactly(event3.id, event2.id, event1.id) assert_that(events.next_page_starts_after).is_none() assert_that(events.previous_page_ends_before).is_none() def test_someOnFirstPage(self): chart = self.client.charts.create() event1 = self.client.events.create(chart.key) event2 = self.client.events.create(chart.key) event3 = self.client.events.create(chart.key) events = self.client.events.list_first_page(page_size=2) assert_that(events.items).extracting("id").contains_exactly(event3.id, event2.id) assert_that(events.next_page_starts_after).is_equal_to(event2.id) assert_that(events.previous_page_ends_before).is_none()

40.433333

100

0.727123

157

1,213

5.407643

0.280255

0.117786

0.150766

0.155477

0.763251

0.753828

0.56066

0

0.012795

0.162407

1,213

29

101

41.827586

0.822835

0

0.47619

0

0.003298

0

0.333333

1

0.095238

false

0

0.095238

0

0.238095

0

null

0

1

0

null

0

4

d1221d2e67b1765bb9686d40bacfef139f904340

4,030

py

Python

businesslogic/placeholders.py

Fake4d/mosk

d15c6088a382a51706bd38e3299d00be5c208acc

[ "CC0-1.0" ]

null

businesslogic/placeholders.py

Fake4d/mosk

d15c6088a382a51706bd38e3299d00be5c208acc

[ "CC0-1.0" ]

null

businesslogic/placeholders.py

Fake4d/mosk

d15c6088a382a51706bd38e3299d00be5c208acc

[ "CC0-1.0" ]

null

""" placeholders module """ __author__ = '3Peso' __all__ = ['Placeholder'] import functools import json import logging import re from os import path from collections import UserDict class Placeholder: """ The Placeholder class is been used to store 'variables' in a lookup table which later can be used to replace actual placeholders in the instrcutions with values from the lookup table. Those placeholders are provided by a placeholder file upon start. Instructions can also be used to fill in placeholders, using the "placeholder" attribute, which afterwards can be used by following instructions to run their logic. """ PLACEHOLDER_RE = r'.*!@(?P<Mosk_Placeholder>\w+)@!.*' PLACEHOLDER_START = '!@' PLACEHOLDER_END = '@!' PLACEHOLDER_GROUP_NAME = 'Mosk_Placeholder' GLOBAL_PLACEHOLDER_FILE_PATH = './global_placeholders.json' _logger = logging.getLogger(__name__) _globalplaceholderfile = GLOBAL_PLACEHOLDER_FILE_PATH # Variables which are declared inside the class definition, are static. # Our list of placeholders should be static, so we declare it here and # not in __init__. _instruction_placeholders: UserDict = None def __init__(self, function): Placeholder._initialize_global_placeholders() self._logger.info("Could not initialize global placeholders.") functools.update_wrapper(self, function) self._function = function def __call__(self, *args, **kwargs): """Decotrator which will feed in functions which return strings with possible variable placeholders. It will replace those placeholders with a value, if there is one already provided.""" returnvalue = self._function(*args, **kwargs) return Placeholder.replace_placeholders(returnvalue) def __get__(self, instance, instancetype): return functools.partial(self.__call__, instance) @staticmethod def get_globalplaceholderfile(): return Placeholder._globalplaceholderfile # TODO Validate file type. Should be json. @staticmethod def set_globalplaceholderfile(value): if path.exists(value): Placeholder._globalplaceholderfile = value Placeholder._initialize_global_placeholders() @classmethod def update_placeholder(cls, placeholdername: str, placeholdervalue): """Adds or updates a variable in the global variable dictionary for later use to fill in placeholders in strings with the replace_variable decotrator.""" if placeholdername in cls._instruction_placeholders.keys(): Placeholder._logger.info(f"Overwriting parameter '{placeholdername}'...") cls._instruction_placeholders[placeholdername] = placeholdervalue @classmethod def get_placeholder(cls, placeholdername: str): return cls._instruction_placeholders[placeholdername] @classmethod def _initialize_global_placeholders(cls): cls._instruction_placeholders = None cls._instruction_placeholders = UserDict() with open(Placeholder.get_globalplaceholderfile()) as gpf: placeholders = json.load(gpf) for placeholdername in placeholders: cls.update_placeholder(placeholdername, placeholders[placeholdername]) @classmethod def replace_placeholders(cls, returnvalue: str): matches = re.match(cls.PLACEHOLDER_RE, returnvalue.strip()) if matches is not None: placeholder = matches.group(cls.PLACEHOLDER_GROUP_NAME) Placeholder._logger.info(f"Variable '{placeholder}' in string found.") if placeholder in cls._instruction_placeholders: returnvalue = returnvalue.replace(f"{cls.PLACEHOLDER_START}{placeholder}{cls.PLACEHOLDER_END}", cls._instruction_placeholders[placeholder]) else: Placeholder._logger.debug(f"String '{returnvalue}' does not contain a placeholder.") return returnvalue

4,030

0.711166

428

4,030

6.471963

0.341122

0.066426

0.065704

0.01444

0

0.000316

0.215385

4,030

1

4,030

0.875712

0.23871

0

0.126984

0

0.110963

0.046123

0

1

0

1

0.142857

false

0

0.095238

0.047619

0.460317

0

null

0

1

0

null

0

1

0

4

d14247acc40b4ee5cd60f29e092e6a97365e9742

330

py

Python

borsdata_sdk/models/InstrumentUpdate.py

tsjk/borsdata-sdk

97bc8fe917418de50f7484ed75e7d9ddd611c050

[ "MIT" ]

8

2019-05-27T19:59:57.000Z

2021-02-09T15:03:46.000Z

borsdata_sdk/models/InstrumentUpdate.py

tsjk/borsdata-sdk

97bc8fe917418de50f7484ed75e7d9ddd611c050

[ "MIT" ]

16

2019-05-14T12:20:28.000Z

2021-09-09T08:19:06.000Z

borsdata_sdk/models/InstrumentUpdate.py

tsjk/borsdata-sdk

97bc8fe917418de50f7484ed75e7d9ddd611c050

[ "MIT" ]

3

2020-07-13T21:08:52.000Z

2021-11-30T00:20:40.000Z

class InstrumentUpdate: insId: int updatedAt: str def __init__(self, insId, updatedAt): self.insId = insId self.updatedAt = updatedAt def __str__(self): return '{}: {}'.format(self.insId, self.updatedAt) def __repr__(self): return '{}: {}'.format(self.insId, self.updatedAt)

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0.615152

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25.384615

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null

0

1

0

null

0

1

0

1

0

4

d152c6acd4e3d0e3c1e0144b31232583136ea457

97

py

Python

userliteralmain.py

abarnert/userliteralhack

6e4d6b31372506141c73e8e23b935791b3a67278

[ "MIT" ]

3

2015-06-02T19:26:23.000Z

2019-03-18T22:25:15.000Z

userliteralmain.py

abarnert/userliteralhack

6e4d6b31372506141c73e8e23b935791b3a67278

[ "MIT" ]

null

userliteralmain.py

abarnert/userliteralhack

6e4d6b31372506141c73e8e23b935791b3a67278

[ "MIT" ]

null

import userliteral import userliteraltest if __name__ == '__main__': userliteraltest.test()

16.166667

26

0.773196

9

97

7.444444

0.777778

0

0.14433

97

5

27

19.4

0.807229

0

0.082474

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d164e5e975ba58cd8f547482165d1bba36980c9a

80

py

Python

src/python/main.py

ludo237/ayy-lmao

ff8c6d3743faf0d3c5f2a0159a74e1c1ae2824d4

[ "Unlicense" ]

null

src/python/main.py

ludo237/ayy-lmao

ff8c6d3743faf0d3c5f2a0159a74e1c1ae2824d4

[ "Unlicense" ]

1

2019-10-02T14:31:10.000Z

src/python/main.py

ludo237/ayy-lmao

ff8c6d3743faf0d3c5f2a0159a74e1c1ae2824d4

[ "Unlicense" ]

2

2018-10-16T15:49:37.000Z

2019-10-02T14:25:32.000Z

"""Renders a the most important string you will ever need.""" print('Ayy LMAO')

26.666667

61

0.7125

13

80

4.384615

1

0

0.15

80

2

62

40

0.838235

0.6875

0

0.421053

0

1

0

true

0

1

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null

0

1

0

null

0

1

0

1

0

4

d17366ae2f87e56dba79b44d7a7c481fafe3d55d

609

bzl

Python

source/bazel/deps/cpp_httplib/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

33

2019-05-30T07:43:32.000Z

2021-12-30T13:12:32.000Z

source/bazel/deps/cpp_httplib/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

371

2019-05-16T15:23:50.000Z

2021-09-04T15:45:27.000Z

source/bazel/deps/cpp_httplib/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

6

2019-08-22T17:37:36.000Z

2020-11-07T07:15:32.000Z

# Do not edit this file directly. # It was auto-generated by: code/programs/reflexivity/reflexive_refresh load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") def cppHttplib(): http_archive( name="cpp_httplib" , build_file="//bazel/deps/cpp_httplib:build.BUILD" , sha256="166103fc4281a438e1f5b9611981f2351ab12136086404895fe5d22e5db3aff5" , strip_prefix="cpp-httplib-22615f96828a72d84019b748ede01fa11d905977" , urls = [ "https://github.com/Unilang/cpp-httplib/archive/22615f96828a72d84019b748ede01fa11d905977.tar.gz", ], )

35.823529

109

0.71757

60

609

7.133333

0.716667

0.093458

0.070093

0

0.215415

0.16913

609

16

110

38.0625

0.630435

0.165846

0

1

0

0.619802

0.388119

0

1

0.090909

true

0

0.090909

0

null

0

1

0

1

0

1

0

null

0

1

0

4

0f11380004f14666ff53ccade6ee5fa92fdaeae0

396

py

Python

landlab/components/flow_routing/__init__.py

csherwood-usgs/landlab

4f43055060b544b34e71eba7062c09866ad93640

[ "MIT" ]

1

2016-12-04T01:16:54.000Z

landlab/components/flow_routing/__init__.py

csherwood-usgs/landlab

4f43055060b544b34e71eba7062c09866ad93640

[ "MIT" ]

null

landlab/components/flow_routing/__init__.py

csherwood-usgs/landlab

4f43055060b544b34e71eba7062c09866ad93640

[ "MIT" ]

null

from .route_flow_dn import FlowRouter from .lake_mapper import DepressionFinderAndRouter from ..flow_director import flow_direction_DN from ..flow_director.flow_direction_DN import(grid_flow_directions, flow_directions) __all__ = ['FlowRouter', 'DepressionFinderAndRouter', 'grid_flow_directions', 'flow_directions', 'flow_direction_DN']

44

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41

396

6.512195

0.341463

0.209738

0.168539

0.164794

0.2397

0

0.204545

396

8

78

49.5

0.847619

0

0.219697

0.063131

0

1

0

false

0

0.571429

0

0.571429

0

null

1

0

1

0

1

0

null

0

1

0

4

0f2e88e868e32c1d0c8cb36e492bb836e186e1c9

1,570

py

Python

gateway/req.py

wasp/gateway

c91209ad886fc869261c02b0b2f890109091430b

[ "Apache-2.0" ]

6

2017-08-06T02:54:59.000Z

2019-09-17T02:18:51.000Z

gateway/req.py

wasp/gateway

c91209ad886fc869261c02b0b2f890109091430b

[ "Apache-2.0" ]

null

gateway/req.py

wasp/gateway

c91209ad886fc869261c02b0b2f890109091430b

[ "Apache-2.0" ]

1

2016-10-07T02:04:12.000Z

import asyncio from typing import List, Tuple class Request: __slots__ = ('_method', '_version', '_headers', '_content', '_url', '_transport', '_loop') def __init__(self, method, version, headers, content, url, transport, loop): """ Model of an HTTP Request, likely unbuffered. :param method: Request METHOD :param version: HTTP Version :param headers: List of Tuples :param content: Raw stream reader :param url: Target URL :param transport: asyncio transport, not to be used directly :param loop: asyncio loop to read the content on """ self._method = method self._version = version self._headers = headers self._content = content self._url = url self._transport = transport self._loop = loop @property def method(self) -> bytes: return self._method @property def version(self) -> str: return self._version @property def headers(self) -> List[Tuple[bytes, bytes]]: return self._headers @property def content(self) -> asyncio.StreamReader: """The raw content reader, note this can only be read once.""" return self._content @property def url(self) -> str: return self._url @property def transport(self) -> asyncio.Transport: # TODO: remove this being exposed. return self._transport @property def loop(self) -> asyncio.BaseEventLoop: return self._loop

26.610169

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1,570

5.317919

0.312139

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0.043478

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1,570

58

74

27.068966

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1

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false

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0.057143

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null

0

null

0

1

0

1

0

1

0

4

0f3db1eaaeae5a4a25b7bf8e6ec908ff63811869

223

py

Python

iexfinance/stocks/marketvolume.py

ArcticFaded/iexfinance

a8400737878c5727db5e588eb0f5f0e7f6c0dffc

[ "Apache-2.0" ]

4

2019-12-09T21:24:28.000Z

2019-12-10T21:42:53.000Z

iexfinance/stocks/marketvolume.py

ArcticFaded/iexfinance

a8400737878c5727db5e588eb0f5f0e7f6c0dffc

[ "Apache-2.0" ]

2

2019-12-07T17:20:26.000Z

2019-12-07T17:21:00.000Z

Lib/site-packages/iexfinance/stocks/marketvolume.py

MetroSpinnin/NaijaHacks-EdtechML-solution

ad9e50214187606d39b444201cdf1751d0269308

[ "bzip2-1.0.6" ]

1

2020-01-27T19:30:37.000Z

from iexfinance.base import _IEXBase class MarketVolumeReader(_IEXBase): @property def url(self): return "stock/market/volume" def fetch(self): return super(MarketVolumeReader, self).fetch()

18.583333

54

0.690583

24

223

6.333333

0.708333

0.131579

0

0.215247

223

11

55

20.272727

0.868571

0

0.085202

0

1

0.285714

false

0

0.142857

0.285714

0.857143

0

1

0

null

0

null

0

1

0

1

0

4

0f75c5b5436b69f2eb1d38763ce259dcf922ab7e

93

py

Python

epymetheus/datasets/__init__.py

shishaboy/epymetheus

d8916b20c6b79e86e5aadb39c7c01a582659f03b

[ "BSD-3-Clause" ]

null

epymetheus/datasets/__init__.py

shishaboy/epymetheus

d8916b20c6b79e86e5aadb39c7c01a582659f03b

[ "BSD-3-Clause" ]

null

epymetheus/datasets/__init__.py

shishaboy/epymetheus

d8916b20c6b79e86e5aadb39c7c01a582659f03b

[ "BSD-3-Clause" ]

null

# flake8: noqa from .randomwalk import make_randomwalk from .usstocks import fetch_usstocks

18.6

39

0.827957

12

93

6.25

0.666667

0

0.012346

0.129032

93

4

40

23.25

0.91358

0.129032

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0f7819e7c0937dd6aa23bd3895a95b6b2f262a0f

1,190

py

Python

ClassSelect.py

Hua777/NSYSUSelcrs

b36dc9dd7329c6d20f23d666facaa8e6e5251c63

[ "MIT" ]

null

ClassSelect.py

Hua777/NSYSUSelcrs

b36dc9dd7329c6d20f23d666facaa8e6e5251c63

[ "MIT" ]

null

ClassSelect.py

Hua777/NSYSUSelcrs

b36dc9dd7329c6d20f23d666facaa8e6e5251c63

[ "MIT" ]

null

# -*- coding: utf-8 -*- __author__ = "Hua777" __copyright__ = "Copyright 2018, Hua777" __version__ = "2.0" __email__ = "liao.700529@gmail.com" class ClassSelect(object): def __init__(self, data): self.Data = data ''' self.Get = array[0] self.Department = array[1] self.Number = array[2] self.Grade = array[3] self.Code = array[4] self.Name = array[5] self.Url = array[6] self.Point = array[7] self.Stage = array[8] self.Credit = array[9] self.YearSemester = array[10] self.CompulsoryElective = array[11] self.Teacher = array[12] self.Room = array[13] self.Context = array[14] ''' @property def Get(self): return self.Data[0] @property def Department(self): return self.Data[1] @property def Number(self): return self.Data[2] @property def Name(self): return self.Data[5] @property def Point(self): return self.Data[7] @property def Teacher(self): return self.Data[12] @property def Room(self): return self.Data[13]

20.517241

43

0.551261

143

1,190

4.447552

0.363636

0.113208

0.154088

0.198113

0

0.059553

0.322689

1,190

58

44

20.517241

0.729529

0.017647

0

0.25

0

0.077151

0.031157

0

1

0.285714

false

0

0.25

0.571429

0

null

0

1

0

null

0

1

0

1

0

4

0f8b978e8d287d1b10e143079dcd2270c845e5d0

904

py

Python

traffic/serializers.py

pangpifuta/react-ui-project

dea2ad1b114718f6d034e3afb94c75780d328198

[ "MIT" ]

null

traffic/serializers.py

pangpifuta/react-ui-project

dea2ad1b114718f6d034e3afb94c75780d328198

[ "MIT" ]

6

2020-06-05T20:28:09.000Z

2022-01-13T01:10:19.000Z

traffic/serializers.py

pangpifuta/react-ui-project

dea2ad1b114718f6d034e3afb94c75780d328198

[ "MIT" ]

null

from rest_framework import serializers from .models import reg from django.contrib.auth.models import User class RegSerializer(serializers.ModelSerializer): class Meta: model = reg fields = ('id', 'saving_name', 'date', 'redu_percent') # class CreateUserSerializer(serializers.ModelSerializer): # class Meta: # model = User # fields = ('id', 'saving_name', 'date', 'redu_percent') # extra_kwargs = {'password': {'write_only': True}} # def create(self, validated_data): # user = User.objects.create_user(validated_data['saving_name'], # None, # validated_data['password']) # return user # class UserSerializer(serializers.ModelSerializer): # class Meta: # model = User # fields = ('id', 'saving_name')

31.172414

73

0.576327

84

904

6.047619

0.464286

0.07874

0.183071

0.206693

0.417323

0.338583

0.244094

0

0.310841

904

28

74

32.285714

0.815409

0.646018

0

0.104693

0

1

0

false

0

0.428571

0

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

7e15ff9b05d0a057267702f1b78370cb6ab70d0b

245

py

Python

UR_Control/ur_online_control/utilities/files.py

ytakzk/Gradual-Assemblies

48579e7a2d73d51b95a685fc1b757024c96011d4

[ "MIT" ]

1

2019-09-21T09:21:13.000Z

UR_Control/ur_online_control/utilities/files.py

ytakzk/Gradual-Assemblies

48579e7a2d73d51b95a685fc1b757024c96011d4

[ "MIT" ]

null

UR_Control/ur_online_control/utilities/files.py

ytakzk/Gradual-Assemblies

48579e7a2d73d51b95a685fc1b757024c96011d4

[ "MIT" ]

1

2021-04-01T16:03:25.000Z

''' Created on 09.10.2017 @author: rustr ''' def read_file_to_string(afile): with file(afile) as f: afile_str = f.read() return afile_str def read_file_to_list(afile): return [line for line in open(afile, "r").readlines()]

18.846154

58

0.665306

40

245

3.875

0.625

0.090323

0.141935

0.167742

0

0.040816

0.2

245

13

58

18.846154

0.75

0.15102

0

0.004975

0

1

0.333333

false

0

0.166667

0.666667

0

null

0

1

0

null

0

1

0

1

0

4

7e1f0e55323136bcba1aa7171c925bb3880e2858

693

py

Python

problems/problem_3.py

ajaypokharel/n-solutions-for-one-python-problem

8a670069091bd1467b5606e810c93b8c11376ea6

[ "MIT" ]

null

problems/problem_3.py

ajaypokharel/n-solutions-for-one-python-problem

8a670069091bd1467b5606e810c93b8c11376ea6

[ "MIT" ]

null

problems/problem_3.py

ajaypokharel/n-solutions-for-one-python-problem

8a670069091bd1467b5606e810c93b8c11376ea6

[ "MIT" ]

null

""" todo: Write a Python program to add the sum of every digit in a given integer. """ from functools import reduce # solution one using reduce def add_sum_1(num): return reduce(lambda x, y: int(x) + int(y), str(num)) # solution two using simple iteration def add_sum_2(num): total = 0 for item in str(num): total += int(item) return total # solution using list pop() method def add_sum_3(num): total = 0 new_list = list(str(num)) while not new_list == []: total += int(new_list.pop()) return total # solution using simple list comprehension and sum built-in function def add_sum_4(num): return sum([int(item) for item in str(num)])

21.65625

78

0.665224

114

693

3.947368

0.447368

0.053333

0.08

0.053333

0.066667

0

0.011236

0.229437

693

31

79

22.354839

0.831461

0.347763

0

0.25

0

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0

1

0.25

false

0

0.0625

0.125

0.5625

0

null

0

null

0

1

0

1

0

1

0

4

7e4aa7c32d97290a20064c4a56d138bd475a7ba9

229

py

Python

Fangz/spiders/Zufang.py

Deteriorator/RentingHouses

56b14640cd1d41045f60225819de554480ee516b

[ "Apache-2.0" ]

null

Fangz/spiders/Zufang.py

Deteriorator/RentingHouses

56b14640cd1d41045f60225819de554480ee516b

[ "Apache-2.0" ]

null

Fangz/spiders/Zufang.py

Deteriorator/RentingHouses

56b14640cd1d41045f60225819de554480ee516b

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import scrapy class ZufangSpider(scrapy.Spider): name = 'Zufang' allowed_domains = ['su.zu.anjuke.com'] start_urls = ['http://su.zu.anjuke.com/'] def parse(self, response): pass

19.083333

45

0.611354

29

229

4.758621

0.827586

0.057971

0.144928

0.188406

0

0.005556

0.213974

229

11

46

20.818182

0.761111

0.091703

0

0.223301

0

1

0.142857

false

0.142857

0

0.857143

0

1

0

null

0

1

0

null

0

1

0

1

0

4

7e597fb1b9dfa38bf944526cdb855a43d9427639

307

py

Python

plaguegame/__init__.py

NoUMelon/phen-cogs

f8d4de3a91f428114d66fd36ba38ecbd5ace83a3

[ "MIT" ]

1

2021-06-01T10:12:09.000Z

plaguegame/__init__.py

NoUMelon/phen-cogs

f8d4de3a91f428114d66fd36ba38ecbd5ace83a3

[ "MIT" ]

null

plaguegame/__init__.py

NoUMelon/phen-cogs

f8d4de3a91f428114d66fd36ba38ecbd5ace83a3

[ "MIT" ]

null

from .plague import Plague __red_end_user_data_statement__ = "This cog stores data on users based off their interactions within the game. Examples of such data are their 'health state' (healthy or infected) or their 'game role' (user, doctor, plaguebearer)." def setup(bot): bot.add_cog(Plague(bot))

38.375

231

0.76873

48

307

4.729167

0.75

0

0.153094

307

7

232

43.857143

0.873077

0

0.25

0.635179

0

1

0.25

false

0

0.25

0

0.5

0

null

0

1

0

1

0

null

0

1

0

4

7e7580a097173e32f9f12f1acd2ee852c3f4384c

211

py

Python

beetsplug/__init__.py

lionel-/BeetsPluginStructuredComments

cdd0ae28d0b5ff3db6ac227a65b522be673cadcf

[ "MIT" ]

3

2020-12-23T10:16:51.000Z

2021-12-23T23:44:00.000Z

beetsplug/__init__.py

lionel-/BeetsPluginStructuredComments

cdd0ae28d0b5ff3db6ac227a65b522be673cadcf

[ "MIT" ]

null

beetsplug/__init__.py

lionel-/BeetsPluginStructuredComments

cdd0ae28d0b5ff3db6ac227a65b522be673cadcf

[ "MIT" ]

1

2020-12-30T14:07:18.000Z

# Copyright: Copyright (c) 2020., Michael Toohig # Author: Michael Toohig <michael dot toohig at gmail> # License: See LICENSE.txt from pkgutil import extend_path __path__ = extend_path(__path__, __name__)

26.375

55

0.763033

28

211

5.25

0.642857

0.176871

0.190476

0

0.022472

0.156398

211

7

56

30.142857

0.803371

0.597156

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

7e93cc1237cceb4957839e201f7b6dced00e834a

73

py

Python

sample/test6.py

MusaTamzid05/CodeDiffer

1f8d786bbf001e9efb6ce6b28763c5fcf098c355

[ "MIT" ]

null

sample/test6.py

MusaTamzid05/CodeDiffer

1f8d786bbf001e9efb6ce6b28763c5fcf098c355

[ "MIT" ]

null

sample/test6.py

MusaTamzid05/CodeDiffer

1f8d786bbf001e9efb6ce6b28763c5fcf098c355

[ "MIT" ]

null

class Data: def __init__(self, a, b): self.testData = a + b

14.6

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0.111111

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18.25

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null

0

1

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null

0

1

0

1

0

4

0e3529412d035d67cf93a9c2a3c618cb57846369

246

py

Python

torpc/__init__.py

fordoo/fizznet

55d83d11c3b37c3bde7fae8c3579e5cb712d1940

[ "MIT" ]

60

2015-10-16T03:18:38.000Z

2021-06-04T07:39:53.000Z

torpc/__init__.py

fordoo/fizznet

55d83d11c3b37c3bde7fae8c3579e5cb712d1940

[ "MIT" ]

4

2015-11-20T09:38:29.000Z

2016-09-06T15:27:35.000Z

torpc/__init__.py

fordoo/fizznet

55d83d11c3b37c3bde7fae8c3579e5cb712d1940

[ "MIT" ]

15

2015-11-07T19:14:28.000Z

2019-10-12T07:35:50.000Z

# -*- coding: utf-8 -*- from torpc.rpc import RPCConnection, RPCClient, RPCServer, DuplexRPCServer, RPCServerError from torpc.tcp import Connection, TcpClient, TcpServer, ConnectionClosedError from torpc.services import Services, NoServiceError

41

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246

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1

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null

0

1

0

1

0

4

0e5347ffa619fe24fab8d7f16ec0db51de680e5a

442

py

Python

my/strategy_center.py

Michael-JC/inverstment_analysis

724bcda7606d3049e6299f7f3390872954f6628f

[ "Apache-2.0" ]

1

2021-05-25T06:34:13.000Z

my/strategy_center.py

Michael-JC/inverstment_analysis

724bcda7606d3049e6299f7f3390872954f6628f

[ "Apache-2.0" ]

null

my/strategy_center.py

Michael-JC/inverstment_analysis

724bcda7606d3049e6299f7f3390872954f6628f

[ "Apache-2.0" ]

null

#!/usr/bin/env python # coding:utf-8 """ function: @author: zkang kai @contact: 474918208@qq.com """ class strategy_center(object): """ 用来管理所有加载的策略 """ def __init__(): pass def add_strategy(): """ 加载新的策略 """ pass def delete_strategy(): """ 停止策略运行 """ pass def on_data(): """ 收到新的数据,判断哪些策略需要运算 """ pass

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442

35

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0

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null

0

null

0

1

0

1

0

4

0e7b2dc966fd257a7f34e8700c2734de285825f3

90

py

Python

haskpy/typeclasses/ord.py

jluttine/haskpy

79fca70b5f46d8551ed61b4bbd040de5f5ba0440

[ "MIT" ]

2

2021-04-08T18:34:39.000Z

2022-02-24T18:02:45.000Z

haskpy/typeclasses/ord.py

jluttine/haskpy

79fca70b5f46d8551ed61b4bbd040de5f5ba0440

[ "MIT" ]

null

haskpy/typeclasses/ord.py

jluttine/haskpy

79fca70b5f46d8551ed61b4bbd040de5f5ba0440

[ "MIT" ]

null

"""**TODO** .. autosummary:: :toctree: Ord """ class Ord(): """**TODO**"""

6.923077

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90

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0.266667

90

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19

7.5

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0.622222

0

0.166667

0

1

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true

0

1

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1

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null

0

null

0

1

0

1

0

1

0

4

0e7c4f8d4530233621ff03393c6e6d3ba8e3328b

204

py

Python

Ope/Ope.py

nicolasdelp/SPJRUD-to-SQL

41e855d26112420aea4064b50d2ada1cfb527af8

[ "MIT" ]

null

Ope/Ope.py

nicolasdelp/SPJRUD-to-SQL

41e855d26112420aea4064b50d2ada1cfb527af8

[ "MIT" ]

null

Ope/Ope.py

nicolasdelp/SPJRUD-to-SQL

41e855d26112420aea4064b50d2ada1cfb527af8

[ "MIT" ]

null

__author__ = "Nicolas Delplanque" __credits__ = ["Nicolas Delplanque"] __version__ = "1.0.1" __maintainer__ = "Nicolas Delplanque" __email__ = "nicolas.delplanque@student.umons.ac.be" class Ope: pass

25.5

52

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204

5.826087

0.695652

0.507463

0

0.01676

0.122549

204

8

53

25.5

0.731844

0

0.473171

0.185366

0

1

0

false

0.142857

0

0.142857

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null

1

0

1

0

null

0

1

0

4

0e869eb1fb2938fd218b0b1fa1857b23a06c45a1

325

py

Python

deeptrain/util/__init__.py

Mario-Kart-Felix/deeptrain

45e066e9aa97c16780682d62250516c7d64d9897

[ "MIT" ]

16

2020-09-15T14:27:05.000Z

2021-05-30T09:43:09.000Z

deeptrain/util/__init__.py

adbmd/deeptrain

fd412e68e23bce0d9997b0a619a6887ad557067e

[ "MIT" ]

1

2020-09-18T00:44:17.000Z

2020-09-18T14:06:00.000Z

deeptrain/util/__init__.py

adbmd/deeptrain

fd412e68e23bce0d9997b0a619a6887ad557067e

[ "MIT" ]

3

2020-09-17T16:56:28.000Z

2021-01-30T03:23:31.000Z

from . import configs from . import logging from . import saving from . import searching from . import training from . import misc from . import data_loaders from . import experimental from . import preprocessors from .preprocessors import Preprocessor from .preprocessors import GenericPreprocessor, TimeseriesPreprocessor

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325

7.189189

0.405405

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0.172932

0

0.141538

325

12

71

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0

1

0

true

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null

1

0

null

0

1

0

1

0

1

0

4

0ea470113200e050c2d4415bc61ff0477ebfec72

325

py

Python

gregsprograms/plotvoltages.py

gjhartwell/cth-python

558148a5755fd0bd3b12e1380d365f8bf51efa19

[ "MIT" ]

null

gregsprograms/plotvoltages.py

gjhartwell/cth-python

558148a5755fd0bd3b12e1380d365f8bf51efa19

[ "MIT" ]

null

gregsprograms/plotvoltages.py

gjhartwell/cth-python

558148a5755fd0bd3b12e1380d365f8bf51efa19

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Jun 9 12:50:34 2020 @author: hartwgj """ from gregsprograms import ohshots from gregsprograms import OHVoltageUsed #from gregsprograms import plotOHvolts def plotvoltages(day,server): shots=ohshots(day,day,server) OHVoltageUsed(shots,server) #plotOHvolts(shots,volts)

23.214286

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0.744615

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325

5.902439

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0.210744

0.285124

0

0.043165

0.144615

325

14

40

23.214286

0.827338

0.421538

0

1

0.2

false

0

0.4

0

0.6

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null

1

0

null

0

1

0

1

0

4

7ebe78248a2f1a32e96d52a6e20a275b8b7cc750

227

py

Python

pathcensus/nullmodels/__init__.py

sztal/pathcensus

0246b1450e5d7fa0421e283f980c367100fcdd6a

[ "MIT" ]

null

pathcensus/nullmodels/__init__.py

sztal/pathcensus

0246b1450e5d7fa0421e283f980c367100fcdd6a

[ "MIT" ]

null

pathcensus/nullmodels/__init__.py

sztal/pathcensus

0246b1450e5d7fa0421e283f980c367100fcdd6a

[ "MIT" ]

null

"""Null model classes implementing different variants of the configuration model. The classes implemented in this module are simple wrappers around :py:mod:`NEMtropy` package. """ from .ubcm import UBCM from .uecm import UECM

25.222222

58

0.792952

32

227

5.625

0.78125

0

0.140969

227

8

59

28.375

0.923077

0.762115

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

7ec8f9412c83c20afdb244814f75d1f3cb8b7e5f

227

py

Python

software/Proyecto A/Pruebas/prueba_pybluez.py

USB-EC3883-III-2019/EC3883-G07

b639faa2a7b5a0a658e20d5d0993f9a76276d154

[ "MIT" ]

null

software/Proyecto A/Pruebas/prueba_pybluez.py

USB-EC3883-III-2019/EC3883-G07

b639faa2a7b5a0a658e20d5d0993f9a76276d154

[ "MIT" ]

null

software/Proyecto A/Pruebas/prueba_pybluez.py

USB-EC3883-III-2019/EC3883-G07

b639faa2a7b5a0a658e20d5d0993f9a76276d154

[ "MIT" ]

null

import bluetooth print "Buscando..." nearby_devices = bluetooth.discover_devices(lookup_names = True) print "Se encontraron %d dispositivos" %len(nearby_devices) for name, addr in nearby_devices: print "%s - %s" %(addr,name)

28.375

64

0.762115

31

227

5.419355

0.645161

0.232143

0

0.118943

227

8

65

28.375

0.84

0

0.210526

0

null

0

0.166667

null

0.5

0

null

1

0

1

0

null

0

1

0

1

0

4

7ee7fb6c15653fb0276b94772c69118d7f4ef90f

155

py

Python

tests/test_migrator_func.py

Drizzt1991/plasticine

be61baa88f53bdfa666d068a14f17ccc0cfe4d02

[ "MIT" ]

null

tests/test_migrator_func.py

Drizzt1991/plasticine

be61baa88f53bdfa666d068a14f17ccc0cfe4d02

[ "MIT" ]

null

tests/test_migrator_func.py

Drizzt1991/plasticine

be61baa88f53bdfa666d068a14f17ccc0cfe4d02

[ "MIT" ]

null

from unittest import TestCase class TestMigratorFunc(TestCase): def setUp(self): pass def test_simple_migration(self): pass

11.071429

36

0.664516

17

155

5.941176

0.764706

0.158416

0

0.277419

155

13

37

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0.901786

0

0.333333

0

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0.333333

false

0.333333

0.166667

0

0.666667

0

1

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null

0

null

0

1

0

1

0

1

0

4

7eebdfb7a78221aab42ce8e9b101512661a2aa1f

175

py

Python

dentexchange/apps/libs/views/list.py

hellhound/dentexchange

58ae303e842404fc9e1860f294ec8044a332bef3

[ "BSD-3-Clause" ]

1

2017-11-09T23:09:51.000Z

dentexchange/apps/libs/views/list.py

hellhound/dentexchange

58ae303e842404fc9e1860f294ec8044a332bef3

[ "BSD-3-Clause" ]

null

dentexchange/apps/libs/views/list.py

hellhound/dentexchange

58ae303e842404fc9e1860f294ec8044a332bef3

[ "BSD-3-Clause" ]

3

2015-08-11T16:58:47.000Z

2021-01-04T08:23:51.000Z

# -*- coding:utf-8 -*- from django.views.generic.list import ListView from .. import constants class DentexchangeListView(ListView): paginate_by = constants.PAGINATE_BY

21.875

46

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21

175

6.238095

0.714286

0.152672

0

0.006579

0.131429

175

7

47

25

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0.114286

0

1

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false

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null

0

1

0

null

0

1

0

1

0

4

7d2bc43428c6b9385c7632db22723c7a118c3487

95

py

Python

twitterapp/apps.py

MirzaBaig715/simple-python-twitter

6eaa87e7d44ea37ff3e54758ad3106f7fc1ae819

[ "Apache-2.0" ]

1

2021-08-19T02:36:04.000Z

twitterapp/apps.py

MirzaBaig715/simple-python-twitter

6eaa87e7d44ea37ff3e54758ad3106f7fc1ae819

[ "Apache-2.0" ]

4

2020-02-11T22:54:06.000Z

2021-06-10T20:28:39.000Z

twitterapp/apps.py

MirzaBaig715/simple-python-twitter

6eaa87e7d44ea37ff3e54758ad3106f7fc1ae819

[ "Apache-2.0" ]

null

from django.apps import AppConfig class TwitterappConfig(AppConfig): name = 'twitterapp'

15.833333

34

0.768421

10

95

7.3

0.9

0

0.157895

95

5

35

19

0.9125

0

0.105263

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

7d356da07aabcc14e54e8ffe487447a362980ad2

547

py

Python

pyphone/controllers/top_controller.py

ChrisDeadman/pyPhone

3ed2a94f6d3434135172d8706dedf1963e2ff6da

[ "MIT" ]

1

2018-12-08T21:11:28.000Z

pyphone/controllers/top_controller.py

ChrisDeadman/pyPhone

3ed2a94f6d3434135172d8706dedf1963e2ff6da

[ "MIT" ]

1

2018-09-26T15:40:42.000Z

pyphone/controllers/top_controller.py

ChrisDeadman/pyPhone

3ed2a94f6d3434135172d8706dedf1963e2ff6da

[ "MIT" ]

null

from pyphone import controllers from pyphone.controllers.controller import Controller from pyphone.panels import * class TopController(Controller): def show_call_panel(self): from pyphone.controllers import CallController if self.panel.show_panel is not CallPanel: self.panel.show_panel(CallPanel) controllers.get(CallController).show_dial_panel() def show_message_panel(self): self.panel.show_panel(MessagePanel) def show_info_panel(self): self.panel.show_panel(InfoPanel)

28.789474

61

0.736746

66

547

5.924242

0.363636

0.112532

0.132992

0.184143

0.138107

0

0.193784

547

18

62

30.388889

0.886621

0

1

0.230769

false

0

0.307692

0

0.615385

0

null

0

1

0

null

0

1

0

1

0

1

0

4

7d3c1a84d7a3b16260466795032115322e427f22

265

py

Python

Python/1-8/Animals list.py

Hisham-TK/Scratches

e3822b07e8961094660cc72b0ce39b56f7a1d901

[ "MIT" ]

null

Python/1-8/Animals list.py

Hisham-TK/Scratches

e3822b07e8961094660cc72b0ce39b56f7a1d901

[ "MIT" ]

3

2020-05-20T09:08:31.000Z

2021-05-11T14:49:05.000Z

Python/1-8/Animals list.py

Hisham-TK/Scratches

e3822b07e8961094660cc72b0ce39b56f7a1d901

[ "MIT" ]

null

<<<<<<< HEAD animals_list=lambda a:''.join(f'{i}. {v}\n' for i,v in enumerate(a)) animals=['cat','dog','horse'] print(animals_list(animals), '1. car\n2. dog\n3. horse\n') ======= animals_list=lambda a:''.join(f'') >>>>>>> d6817e098f877192bbd012f82e53b6f70c4dced9

26.5

68

0.645283

38

265

4.421053

0.578947

0.196429

0.202381

0.214286

0.27381

0

0.115226

0.083019

265

9

69

29.444444

0.576132

0

0.177358

0

null

0

null

0.142857

0

null

0

1

0

1

0

null

0

1

0

4

ada4eb5df93650730e4f0df8e2cfc7865ed6456f

5,896

py

Python

tests/tracer/test_agent.py

brettlangdon/dd-trace-py

95e2641d734669719ca07841de58e233cb0f49e9

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

null

tests/tracer/test_agent.py

brettlangdon/dd-trace-py

95e2641d734669719ca07841de58e233cb0f49e9

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

3

2021-10-07T02:22:59.000Z

2021-12-15T02:15:48.000Z

tests/tracer/test_agent.py

depop/dd-trace-py

95e2641d734669719ca07841de58e233cb0f49e9

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

1

2020-09-28T06:20:53.000Z

import pytest from ddtrace.internal import agent def test_hostname(monkeypatch): assert agent.get_hostname() == "localhost" monkeypatch.setenv("DD_AGENT_HOST", "host") assert agent.get_hostname() == "host" def test_trace_port(monkeypatch): assert agent.get_trace_port() == 8126 monkeypatch.setenv("DD_TRACE_AGENT_PORT", "1235") assert agent.get_trace_port() == 1235 monkeypatch.setenv("DD_AGENT_PORT", "1234") assert agent.get_trace_port() == 1234 def test_stats_port(monkeypatch): assert agent.get_stats_port() == 8125 monkeypatch.setenv("DD_DOGSTATSD_PORT", "1235") assert agent.get_stats_port() == 1235 def test_trace_url(monkeypatch, mocker): mock_exists = mocker.patch("os.path.exists") # with nothing set by user, and the default UDS available, we choose UDS mock_exists.return_value = True assert agent.get_trace_url() == "unix:///var/run/datadog/apm.socket" mock_exists.assert_called_once_with("/var/run/datadog/apm.socket") mock_exists.reset_mock() # with nothing set by user, and the default UDS unavailable, we choose default http address mock_exists.return_value = False assert agent.get_trace_url() == "http://localhost:8126" mock_exists.assert_called_once_with("/var/run/datadog/apm.socket") mock_exists.reset_mock() # with port set by user, and default UDS unavailable, we choose user settings with monkeypatch.context() as m: m.setenv("DD_TRACE_AGENT_PORT", "1235") assert agent.get_trace_url() == "http://localhost:1235" mock_exists.assert_not_called() # with host set by user, and default UDS unavailable, we choose user settings with monkeypatch.context() as m: m.setenv("DD_AGENT_HOST", "mars") assert agent.get_trace_url() == "http://mars:8126" mock_exists.assert_not_called() # with host and port set by user, and default UDS unavailable, we choose user settings with monkeypatch.context() as m: m.setenv("DD_TRACE_AGENT_PORT", "1235") m.setenv("DD_AGENT_HOST", "mars") assert agent.get_trace_url() == "http://mars:1235" mock_exists.assert_not_called() # with port set by user, and default UDS available, we choose user settings mock_exists.return_value = True with monkeypatch.context() as m: m.setenv("DD_TRACE_AGENT_PORT", "1235") assert agent.get_trace_url() == "http://localhost:1235" mock_exists.assert_not_called() # with host set by user, and default UDS available, we choose user settings with monkeypatch.context() as m: m.setenv("DD_AGENT_HOST", "mars") assert agent.get_trace_url() == "http://mars:8126" mock_exists.assert_not_called() # with host and port set by user, and default UDS available, we choose user settings with monkeypatch.context() as m: m.setenv("DD_TRACE_AGENT_PORT", "1235") m.setenv("DD_AGENT_HOST", "mars") assert agent.get_trace_url() == "http://mars:1235" mock_exists.assert_not_called() # with port, host, and url set by user, and default UDS available, we choose url with monkeypatch.context() as m: m.setenv("DD_TRACE_AGENT_PORT", "1235") m.setenv("DD_AGENT_HOST", "mars") m.setenv("DD_TRACE_AGENT_URL", "http://saturn:1111") assert agent.get_trace_url() == "http://saturn:1111" mock_exists.assert_not_called() # with port, host, and url set by user, and default UDS unavailable, we choose url mock_exists.return_value = False with monkeypatch.context() as m: m.setenv("DD_TRACE_AGENT_PORT", "1235") m.setenv("DD_AGENT_HOST", "mars") m.setenv("DD_TRACE_AGENT_URL", "http://saturn:1111") assert agent.get_trace_url() == "http://saturn:1111" mock_exists.assert_not_called() def test_stats_url(monkeypatch): assert agent.get_stats_url() == "udp://localhost:8125" monkeypatch.setenv("DD_AGENT_HOST", "saturn") assert agent.get_stats_url() == "udp://saturn:8125" monkeypatch.setenv("DD_DOGSTATSD_PORT", "1235") assert agent.get_stats_url() == "udp://saturn:1235" monkeypatch.setenv("DD_DOGSTATSD_URL", "udp://mars:1234") assert agent.get_stats_url() == "udp://mars:1234" def test_get_connection(): with pytest.raises(ValueError): agent.get_connection("bad://localhost:1234", timeout=1) with pytest.raises(ValueError): agent.get_connection(":#@$@!//localhost:1234", timeout=1) with pytest.raises(ValueError): agent.get_connection("", timeout=1) def test_verify_url(): agent.verify_url("http://localhost:1234") agent.verify_url("https://localhost:1234") agent.verify_url("https://localhost") agent.verify_url("http://192.168.1.1") agent.verify_url("unix:///file.sock") agent.verify_url("unix:///file") with pytest.raises(ValueError) as e: agent.verify_url("unix://") assert str(e.value) == "Invalid file path in Agent URL 'unix://'" with pytest.raises(ValueError) as e: agent.verify_url("http2://localhost:1234") assert ( str(e.value) == "Unsupported protocol 'http2' in Agent URL 'http2://localhost:1234'. Must be one of: http, https, unix" ) with pytest.raises(ValueError) as e: agent.verify_url("adsf") assert str(e.value) == "Unsupported protocol '' in Agent URL 'adsf'. Must be one of: http, https, unix" with pytest.raises(ValueError) as e: agent.verify_url("http://") assert str(e.value) == "Invalid hostname in Agent URL 'http://'" with pytest.raises(ValueError) as e: agent.verify_url("https://") assert str(e.value) == "Invalid hostname in Agent URL 'https://'" with pytest.raises(ValueError) as e: agent.verify_url("unix://") assert str(e.value) == "Invalid file path in Agent URL 'unix://'"

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adcb07395785f1b34a897994aced063dc261951f

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py

Python

qg_interface/apps.py

kuPacemaker/restful-unilm-django

679bcbc7f76e3a8e2e63f11cb3d9bc188ff8fc23

[ "MIT" ]

1

2020-10-25T12:31:33.000Z

qg_interface/apps.py

kuPacemaker/restful-unilm-django

679bcbc7f76e3a8e2e63f11cb3d9bc188ff8fc23

[ "MIT" ]

1

2021-07-18T11:14:51.000Z

2021-07-18T14:38:00.000Z

qg_interface/apps.py

kuPacemaker/restful-unilm-django

679bcbc7f76e3a8e2e63f11cb3d9bc188ff8fc23

[ "MIT" ]

null

from django.apps import AppConfig class QgInterfaceConfig(AppConfig): name = 'qg_interface'

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174

py

Python

molecule/resources/tests/conftest.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

molecule/resources/tests/conftest.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

molecule/resources/tests/conftest.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

import os import pytest @pytest.fixture def scenario(): implementation = "{}_pyenv_root".format(os.environ['TEST_CASE']) return pytest.importorskip(implementation)

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adff754cb9620cfdf53f1819529b537eb33a04bb

191

py

Python

agilecrm/exceptions.py

GearPlug/agilecrm-python

cffba6d0a4e0ef5d67ca6f622f441bbc0028204c

[ "MIT" ]

null

agilecrm/exceptions.py

GearPlug/agilecrm-python

cffba6d0a4e0ef5d67ca6f622f441bbc0028204c

[ "MIT" ]

null

agilecrm/exceptions.py

GearPlug/agilecrm-python

cffba6d0a4e0ef5d67ca6f622f441bbc0028204c

[ "MIT" ]

null

class BaseError(Exception): pass class UnauthorizedError(BaseError): pass class WrongFormatInputError(BaseError): pass class ContactsLimitExceededError(BaseError): pass

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0

null

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bc01bcf11991ed1dd12a8203923c2efd3b067732

170

py

Python

slownik_kwadrat.py

grzegorzwojdyga/SDA_excercises_4

bf5bfb42b410deb9deb043b6553629e8e0e2e5ae

[ "MIT" ]

null

slownik_kwadrat.py

grzegorzwojdyga/SDA_excercises_4

bf5bfb42b410deb9deb043b6553629e8e0e2e5ae

[ "MIT" ]

null

slownik_kwadrat.py

grzegorzwojdyga/SDA_excercises_4

bf5bfb42b410deb9deb043b6553629e8e0e2e5ae

[ "MIT" ]

null

""" Napisz program, który pobiera od użytkownika liczbę N, następnie tworzy słownik z kluczami od 1 do N z wartościami, które są kwadratami kluczy. """

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bc2a0a475642d9a11514c1d4d670b2d403c1df08

35

py

Python

GooglePythonClass/lect2/Base.py

penanrajput/PythonCourseContent

074a4af9c83a8a6b9b4608ce341ed96d1bd2e999

[ "MIT" ]

null

GooglePythonClass/lect2/Base.py

penanrajput/PythonCourseContent

074a4af9c83a8a6b9b4608ce341ed96d1bd2e999

[ "MIT" ]

null

GooglePythonClass/lect2/Base.py

penanrajput/PythonCourseContent

074a4af9c83a8a6b9b4608ce341ed96d1bd2e999

[ "MIT" ]

1

2020-12-19T19:29:17.000Z

# Base.py class Base: foo = 10

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bc2a0c4604910fb924e072daa907e0690bc48c60

119

py

Python

lang_spider/__init__.py

langgithub/LangSpider

fecd1298e606a09195c4f0fb72bc5c6b3a058900

[ "MIT" ]

1

2020-08-31T15:53:59.000Z

lang_spider/__init__.py

langgithub/LangSpider

fecd1298e606a09195c4f0fb72bc5c6b3a058900

[ "MIT" ]

null

lang_spider/__init__.py

langgithub/LangSpider

fecd1298e606a09195c4f0fb72bc5c6b3a058900

[ "MIT" ]

1

2020-08-31T15:54:02.000Z

#!/usr/bin/env python3 # -*- coding:utf-8 -*- # author：yuanlang # creat_time: 2020/7/16 下午6:05 # file: __init__.py

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bc3c12e1af918744c3082854c9bed8cc92f55b27

175

py

Python

todo/forms.py

preyash2047/Django_Todo_Project

6494032f07a5eca02faccc5dd4ad5be0c14b8e9e

[ "MIT" ]

null

todo/forms.py

preyash2047/Django_Todo_Project

6494032f07a5eca02faccc5dd4ad5be0c14b8e9e

[ "MIT" ]

null

todo/forms.py

preyash2047/Django_Todo_Project

6494032f07a5eca02faccc5dd4ad5be0c14b8e9e

[ "MIT" ]

null

from django.forms import ModelForm from .models import todo class TodoForm(ModelForm): class Meta(): model = todo fields = ['title', "memo", 'importent']

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cb634b885057da815547524744ceed4c875929d1

157

py

Python

Strategy/after_strategy/AbsStrategy.py

deorerohan/DesignPatterns

2bd698246e12ed289917bb4e3b84eaa2210534fd

[ "MIT" ]

null

Strategy/after_strategy/AbsStrategy.py

deorerohan/DesignPatterns

2bd698246e12ed289917bb4e3b84eaa2210534fd

[ "MIT" ]

null

Strategy/after_strategy/AbsStrategy.py

deorerohan/DesignPatterns

2bd698246e12ed289917bb4e3b84eaa2210534fd

[ "MIT" ]

null

import abc class AbsStrategy(metaclass = abc.ABCMeta): @abc.abstractclassmethod def calculate(self, order): """calculate abstract method"""

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cb7b4489ae6299bb0089c633ed8ad60501d42043

12,534

py

Python

test/unit/test_crypto_wrapping_keys.py

seebees/aws-encryption-sdk-python

7498bafab9c231abe0694f856f299af59d0e7826

[ "Apache-2.0" ]

null

test/unit/test_crypto_wrapping_keys.py

seebees/aws-encryption-sdk-python

7498bafab9c231abe0694f856f299af59d0e7826

[ "Apache-2.0" ]

1

2019-05-30T22:14:47.000Z

test/unit/test_crypto_wrapping_keys.py

seebees/aws-encryption-sdk-python

7498bafab9c231abe0694f856f299af59d0e7826

[ "Apache-2.0" ]

null

# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. """Unit test suite for ``aws_encryption_sdk.internal.crypto.wrapping_keys``.""" import pytest from mock import MagicMock, sentinel from pytest_mock import mocker # noqa pylint: disable=unused-import import aws_encryption_sdk.internal.crypto.wrapping_keys from aws_encryption_sdk.exceptions import IncorrectMasterKeyError, InvalidDataKeyError from aws_encryption_sdk.identifiers import EncryptionKeyType, EncryptionType from aws_encryption_sdk.internal.crypto.wrapping_keys import WrappingKey from aws_encryption_sdk.internal.structures import EncryptedData from .test_crypto import VALUES pytestmark = [pytest.mark.unit, pytest.mark.local] @pytest.yield_fixture def patch_default_backend(mocker): mocker.patch.object(aws_encryption_sdk.internal.crypto.wrapping_keys, "default_backend") yield aws_encryption_sdk.internal.crypto.wrapping_keys.default_backend @pytest.yield_fixture def patch_serialization(mocker): mocker.patch.object(aws_encryption_sdk.internal.crypto.wrapping_keys, "serialization") yield aws_encryption_sdk.internal.crypto.wrapping_keys.serialization @pytest.yield_fixture def patch_derive_data_encryption_key(mocker): mocker.patch.object(aws_encryption_sdk.internal.crypto.wrapping_keys, "derive_data_encryption_key") yield aws_encryption_sdk.internal.crypto.wrapping_keys.derive_data_encryption_key @pytest.yield_fixture def patch_urandom(mocker): mocker.patch.object(aws_encryption_sdk.internal.crypto.wrapping_keys.os, "urandom") yield aws_encryption_sdk.internal.crypto.wrapping_keys.os.urandom @pytest.yield_fixture def patch_serialize_encryption_context(mocker): mocker.patch.object(aws_encryption_sdk.internal.crypto.wrapping_keys, "serialize_encryption_context") yield aws_encryption_sdk.internal.crypto.wrapping_keys.serialize_encryption_context @pytest.yield_fixture def patch_encrypt(mocker): mocker.patch.object(aws_encryption_sdk.internal.crypto.wrapping_keys, "encrypt") yield aws_encryption_sdk.internal.crypto.wrapping_keys.encrypt @pytest.yield_fixture def patch_decrypt(mocker): mocker.patch.object(aws_encryption_sdk.internal.crypto.wrapping_keys, "decrypt") yield aws_encryption_sdk.internal.crypto.wrapping_keys.decrypt def mock_wrapping_rsa_keys(): mock_wrapping_rsa_private_key = MagicMock() mock_wrapping_rsa_public_key = MagicMock() mock_wrapping_rsa_private_key.public_key.return_value = mock_wrapping_rsa_public_key return mock_wrapping_rsa_private_key, mock_wrapping_rsa_public_key def mock_encrypted_data(): return EncryptedData(iv=VALUES["iv"], ciphertext=VALUES["ciphertext"], tag=VALUES["tag"]) def test_wrapping_key_init_private(patch_default_backend, patch_serialization): wrapping_algorithm = MagicMock() wrapping_key = MagicMock() test_wrapping_key = WrappingKey( wrapping_algorithm=wrapping_algorithm, wrapping_key=wrapping_key, wrapping_key_type=EncryptionKeyType.PRIVATE ) assert test_wrapping_key.wrapping_algorithm is wrapping_algorithm assert test_wrapping_key.wrapping_key_type is EncryptionKeyType.PRIVATE patch_serialization.load_pem_private_key.assert_called_once_with( data=wrapping_key, password=None, backend=patch_default_backend.return_value ) assert not patch_serialization.load_pem_public_key.called assert test_wrapping_key._wrapping_key is patch_serialization.load_pem_private_key.return_value def test_wrapping_key_init_private_with_password(patch_default_backend, patch_serialization): wrapping_algorithm = MagicMock() wrapping_key = MagicMock() WrappingKey( wrapping_algorithm=wrapping_algorithm, wrapping_key=wrapping_key, wrapping_key_type=EncryptionKeyType.PRIVATE, password=sentinel.password, ) patch_serialization.load_pem_private_key.assert_called_once_with( data=wrapping_key, password=sentinel.password, backend=patch_default_backend.return_value ) def test_wrapping_key_init_public(patch_default_backend, patch_serialization): wrapping_algorithm = MagicMock() wrapping_key = MagicMock() test_wrapping_key = WrappingKey( wrapping_algorithm=wrapping_algorithm, wrapping_key=wrapping_key, wrapping_key_type=EncryptionKeyType.PUBLIC ) patch_serialization.load_pem_public_key.assert_called_once_with( data=wrapping_key, backend=patch_default_backend.return_value ) assert not patch_serialization.load_pem_private_key.called assert test_wrapping_key._wrapping_key is patch_serialization.load_pem_public_key.return_value def test_wrapping_key_init_symmetric(patch_default_backend, patch_serialization, patch_derive_data_encryption_key): wrapping_algorithm = MagicMock() wrapping_key = MagicMock() test_wrapping_key = WrappingKey( wrapping_algorithm=wrapping_algorithm, wrapping_key=wrapping_key, wrapping_key_type=EncryptionKeyType.SYMMETRIC ) assert not patch_serialization.load_pem_private_key.called assert not patch_serialization.load_pem_public_key.called assert test_wrapping_key._wrapping_key is wrapping_key patch_derive_data_encryption_key.assert_called_once_with( source_key=wrapping_key, algorithm=wrapping_algorithm.algorithm, message_id=None ) assert test_wrapping_key._derived_wrapping_key is patch_derive_data_encryption_key.return_value def test_wrapping_key_init_invalid_key_type(): with pytest.raises(InvalidDataKeyError) as excinfo: WrappingKey(wrapping_algorithm=MagicMock(), wrapping_key=MagicMock(), wrapping_key_type=sentinel.key_type) excinfo.match(r"Invalid wrapping_key_type: *") def test_wrapping_key_encrypt_symmetric( patch_default_backend, patch_serialization, patch_serialize_encryption_context, patch_derive_data_encryption_key, patch_encrypt, patch_urandom, ): wrapping_algorithm = MagicMock() wrapping_key = MagicMock() test_wrapping_key = WrappingKey( wrapping_algorithm=wrapping_algorithm, wrapping_key=wrapping_key, wrapping_key_type=EncryptionKeyType.SYMMETRIC ) test = test_wrapping_key.encrypt( plaintext_data_key=sentinel.plaintext_data_key, encryption_context=sentinel.encryption_context ) assert not patch_serialization.load_pem_private_key.called assert not patch_serialization.load_pem_public_key.called patch_serialize_encryption_context.assert_called_once_with(encryption_context=sentinel.encryption_context) patch_urandom.assert_called_once_with(wrapping_algorithm.algorithm.iv_len) patch_encrypt.assert_called_once_with( algorithm=wrapping_algorithm.algorithm, key=patch_derive_data_encryption_key.return_value, plaintext=sentinel.plaintext_data_key, associated_data=patch_serialize_encryption_context.return_value, iv=patch_urandom.return_value, ) assert test is patch_encrypt.return_value def test_wrapping_key_encrypt_private( patch_default_backend, patch_serialization, patch_serialize_encryption_context, patch_encrypt ): private_key, public_key = mock_wrapping_rsa_keys() patch_serialization.load_pem_private_key.return_value = private_key public_key.encrypt.return_value = VALUES["ciphertext"] mock_wrapping_algorithm = MagicMock(encryption_type=EncryptionType.ASYMMETRIC) test_wrapping_key = WrappingKey( wrapping_algorithm=mock_wrapping_algorithm, wrapping_key=sentinel.wrapping_key, wrapping_key_type=EncryptionKeyType.PRIVATE, ) test = test_wrapping_key.encrypt( plaintext_data_key=sentinel.plaintext_data_key, encryption_context=sentinel.encryption_context ) private_key.public_key.assert_called_once_with() public_key.encrypt.assert_called_once_with( plaintext=sentinel.plaintext_data_key, padding=mock_wrapping_algorithm.padding ) assert not patch_serialize_encryption_context.called assert not patch_encrypt.called assert test == EncryptedData(iv=None, ciphertext=VALUES["ciphertext"], tag=None) def test_wrapping_key_encrypt_public( patch_default_backend, patch_serialization, patch_serialize_encryption_context, patch_encrypt ): _, public_key = mock_wrapping_rsa_keys() patch_serialization.load_pem_public_key.return_value = public_key public_key.encrypt.return_value = VALUES["ciphertext"] mock_wrapping_algorithm = MagicMock(encryption_type=EncryptionType.ASYMMETRIC) test_wrapping_key = WrappingKey( wrapping_algorithm=mock_wrapping_algorithm, wrapping_key=sentinel.wrapping_key, wrapping_key_type=EncryptionKeyType.PUBLIC, ) test = test_wrapping_key.encrypt( plaintext_data_key=sentinel.plaintext_data_key, encryption_context=sentinel.encryption_context ) public_key.encrypt.assert_called_once_with( plaintext=sentinel.plaintext_data_key, padding=mock_wrapping_algorithm.padding ) assert not patch_serialize_encryption_context.called assert not patch_encrypt.called assert test == EncryptedData(iv=None, ciphertext=VALUES["ciphertext"], tag=None) def test_wrapping_key_decrypt_symmetric( patch_default_backend, patch_serialization, patch_serialize_encryption_context, patch_derive_data_encryption_key, patch_decrypt, ): mock_wrapping_algorithm = MagicMock() test_wrapping_key = WrappingKey( wrapping_algorithm=mock_wrapping_algorithm, wrapping_key=sentinel.wrapping_key, wrapping_key_type=EncryptionKeyType.SYMMETRIC, ) test = test_wrapping_key.decrypt( encrypted_wrapped_data_key=VALUES["ciphertext"], encryption_context=sentinel.encryption_context ) patch_serialize_encryption_context.assert_called_once_with(encryption_context=sentinel.encryption_context) patch_decrypt.assert_called_once_with( algorithm=mock_wrapping_algorithm.algorithm, key=patch_derive_data_encryption_key.return_value, encrypted_data=VALUES["ciphertext"], associated_data=patch_serialize_encryption_context.return_value, ) assert test is patch_decrypt.return_value def test_wrapping_key_decrypt_private( patch_default_backend, patch_serialization, patch_serialize_encryption_context, patch_decrypt ): private_key, _ = mock_wrapping_rsa_keys() patch_serialization.load_pem_private_key.return_value = private_key private_key.decrypt.return_value = sentinel.plaintext_data mock_wrapping_algorithm = MagicMock(encryption_type=EncryptionType.ASYMMETRIC) test_wrapping_key = WrappingKey( wrapping_algorithm=mock_wrapping_algorithm, wrapping_key=sentinel.wrapping_key, wrapping_key_type=EncryptionKeyType.PRIVATE, ) test = test_wrapping_key.decrypt( encrypted_wrapped_data_key=mock_encrypted_data(), encryption_context=sentinel.encryption_context ) private_key.decrypt.assert_called_once_with( ciphertext=VALUES["ciphertext"], padding=mock_wrapping_algorithm.padding ) assert not patch_serialize_encryption_context.called assert not patch_decrypt.called assert test is sentinel.plaintext_data def test_wrapping_key_decrypt_public( patch_default_backend, patch_serialization, patch_serialize_encryption_context, patch_decrypt ): private_key, _ = mock_wrapping_rsa_keys() patch_serialization.load_pem_private_key.return_value = private_key private_key.decrypt.return_value = sentinel.plaintext_data mock_wrapping_algorithm = MagicMock(encryption_type=EncryptionType.ASYMMETRIC) test_wrapping_key = WrappingKey( wrapping_algorithm=mock_wrapping_algorithm, wrapping_key=sentinel.wrapping_key, wrapping_key_type=EncryptionKeyType.PUBLIC, ) with pytest.raises(IncorrectMasterKeyError) as excinfo: test_wrapping_key.decrypt( encrypted_wrapped_data_key=mock_encrypted_data(), encryption_context=sentinel.encryption_context ) excinfo.match(r"Public key cannot decrypt")

42.924658

119

0.80884

1,537

12,534

6.163305

0.09499

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0.05067

0.044125

0.818642

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43.072165

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false

0.017316

0.038961

0.004329

0.134199

0

null

0

1

0

1

0

null

0

4

cba540a1391f43fcabd223531cddcc2049e6caa6

908

py

Python

hfcommon_tests/util_test.py

huntflow/hfcommon

f26c300b89cfa2fc1c20be77f8ad09f13661b348

[ "MIT" ]

null

hfcommon_tests/util_test.py

huntflow/hfcommon

f26c300b89cfa2fc1c20be77f8ad09f13661b348

[ "MIT" ]

null

hfcommon_tests/util_test.py

huntflow/hfcommon

f26c300b89cfa2fc1c20be77f8ad09f13661b348

[ "MIT" ]

null

# coding=utf-8 import unittest from hfcommon.util import try_int, host_included class TestUtil(unittest.TestCase): def test_try_int(self): self.assertEqual(try_int('1'), 1) self.assertEqual(try_int('123'), 123) self.assertEqual(try_int(' '), None) self.assertEqual(try_int(''), None) self.assertEqual(try_int(u'цифра'), None) self.assertEqual(try_int('number'), None) self.assertEqual(try_int(123), 123) def test_host_included(self): self.assertEqual(host_included('https://ya.ru', ['ya.ru']), True) self.assertEqual(host_included('http://127.0.0.1:8400/docs', ['127.0.0.1']), True) self.assertEqual(host_included('https://yandex.ru', ['ya.ru']), False) self.assertEqual(host_included('https://ya.ru:80', ['127.0.0.1', 'ya.ru']), True) self.assertEqual(host_included('https://', ['ya.ru']), False)

36.32

90

0.639868

127

908

4.433071

0.291339

0.319716

0.223801

0.261101

0.605684

0.554174

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0.12611

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0.051862

0.171806

908

24

91

37.833333

0.696809

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0.294118

0

null

1

0

null

0

1

0

4

cbb63785d8ee1223809d99721877325dbe14a245

116

py

Python

mumpy.py

chrisrink10/mumpy

3cda42eeafcb1bfc419a665bbdb86afbacf8fde9

[ "BSD-3-Clause" ]

1

2021-07-07T20:32:58.000Z

mumpy.py

whitten/mumpy

3cda42eeafcb1bfc419a665bbdb86afbacf8fde9

[ "BSD-3-Clause" ]

null

mumpy.py

whitten/mumpy

3cda42eeafcb1bfc419a665bbdb86afbacf8fde9

[ "BSD-3-Clause" ]

8

2021-07-13T23:49:58.000Z

2022-01-18T22:56:52.000Z

#!/usr/bin/env python3 """MUMPy :: MUMPS interpreter""" import mumpy if __name__ == "__main__": mumpy.main()

12.888889

32

0.646552

14

116

4.785714

0.785714

0

0.010417

0.172414

116

8

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0

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null

0

1

0

1

0

4

cbd44ad2a2bcdc7b1c359cd3cdf0d86c12d6b24d

334

py

Python

zvt/domain/meta/__init__.py

h521822/zvt

c6bcc2b340406da55d920a411f59ab8d4cc7e76d

[ "MIT" ]

2

2021-02-09T05:55:38.000Z

2021-07-26T00:06:46.000Z

zvt/domain/meta/__init__.py

h521822/zvt

c6bcc2b340406da55d920a411f59ab8d4cc7e76d

[ "MIT" ]

null

zvt/domain/meta/__init__.py

h521822/zvt

c6bcc2b340406da55d920a411f59ab8d4cc7e76d

[ "MIT" ]

1

2021-07-22T02:48:31.000Z

# -*- coding: utf-8 -*- # the __all__ is generated __all__ = [] # __init__.py structure: # common code of the package # export interface in __all__ which contains __all__ of its sub modules # import all from submodule stock_meta from .stock_meta import * from .stock_meta import __all__ as _stock_meta_all __all__ += _stock_meta_all

27.833333

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50

334

4.38

0.56

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0.118721

0.173516

0

0.003571

0.161677

334

12

72

27.833333

0.778571

0.607784

0

1

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1

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0

0.5

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0.5

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null

1

0

1

0

1

0

null

0

1

0

4

cbdbf4a37b79b0d23e657492cb696db5fe1e793c

238

py

Python

src/credentials.py

cyril-blanco/iRacingRPMToolbox

abb0e489946aba69ed06d4375431c168b131e1fd

[ "MIT" ]

null

src/credentials.py

cyril-blanco/iRacingRPMToolbox

abb0e489946aba69ed06d4375431c168b131e1fd

[ "MIT" ]

null

src/credentials.py

cyril-blanco/iRacingRPMToolbox

abb0e489946aba69ed06d4375431c168b131e1fd

[ "MIT" ]

3

2022-03-25T12:53:21.000Z

2022-03-25T16:31:52.000Z

""" File encapsulating the management of credentials. """ import os def get_credentials(): ''' Obtains the credentials from environment variables. ''' return {"user":os.getenv('IRAPI_USR'), "pwd":os.getenv('IRAPI_PWD')}

19.833333

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238

5.642857

0.714286

0.101266

0.164557

0

0.172269

238

11

73

21.636364

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0.42437

0

0.219298

0

1

0.333333

true

0

0.333333

0

1

0

1

0

null

0

null

0

1

0

1

0

4

1df4b076cdef2e986f73ac273cd6ad2ebd17d751

25

py

Python

AI/cost_function/GreedyEvaluate.py

vineet131/Blokus

5462496778e368407f9d12d9118b775768bea7c0

[ "MIT" ]

null

AI/cost_function/GreedyEvaluate.py

vineet131/Blokus

5462496778e368407f9d12d9118b775768bea7c0

[ "MIT" ]

null

AI/cost_function/GreedyEvaluate.py

vineet131/Blokus

5462496778e368407f9d12d9118b775768bea7c0

[ "MIT" ]

null

def greedy_evaluate():

6.25

22

0.72

3

25

5.666667

1

0

0.16

25

3

23

8.333333

0.809524

0

null

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null

0

1

0

null

0

1

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null

0

1

0

4