xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

49206ede4930182521d4ce9c6b49dda8aef894c6

97

py

Python

cash/settings/product.py

anshengme/cash

7b24338ea2f3f92fe82f668335bb2eb6e6479f9e

[ "MIT" ]

18

2019-01-04T01:58:03.000Z

2021-06-25T09:03:58.000Z

cash/settings/product.py

anshengme/cash

7b24338ea2f3f92fe82f668335bb2eb6e6479f9e

[ "MIT" ]

3

2019-02-26T16:24:40.000Z

2020-04-04T10:41:38.000Z

cash/settings/product.py

anshengme/cash

7b24338ea2f3f92fe82f668335bb2eb6e6479f9e

[ "MIT" ]

5

2019-02-26T15:32:52.000Z

2019-04-22T09:35:27.000Z

from .base import * DEBUG = False SECRET_KEY = os.environ.get('DJANGO_SECRET_KEY', SECRET_KEY)

16.166667

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0.752577

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4.6

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0.391304

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0.134021

97

5

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0.175258

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false

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1

0

1

0

null

0

1

0

4

4924946192a3e01f6cc5df5f86d6a37b39e0f8e7

94

py

Python

flights/urls.py

olubiyiontheweb/travelworld

ca9d2206108bd59fd222e384bcaab7efd6832e24

[ "MIT" ]

null

flights/urls.py

olubiyiontheweb/travelworld

ca9d2206108bd59fd222e384bcaab7efd6832e24

[ "MIT" ]

null

flights/urls.py

olubiyiontheweb/travelworld

ca9d2206108bd59fd222e384bcaab7efd6832e24

[ "MIT" ]

null

from django.urls import path from flights import views urlpatterns = [path("", views.index)]

18.8

37

0.755319

13

94

5.461538

0.692308

0

0.138298

94

4

38

23.5

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1

0

false

0

0.666667

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0

null

0

1

0

null

0

1

0

1

0

4

495701e22432966b0a7ba235c137600209fc7f19

578

py

Python

website/error.py

TWoolhouse/Libraries

26079ed387cb800cb97f20980720ae094008c7bf

[ "MIT" ]

1

2020-10-11T15:34:56.000Z

website/error.py

TWoolhouse/Libraries

26079ed387cb800cb97f20980720ae094008c7bf

[ "MIT" ]

null

website/error.py

TWoolhouse/Libraries

26079ed387cb800cb97f20980720ae094008c7bf

[ "MIT" ]

null

class WebsiteBaseError(Exception): pass class TreeTraversal(WebsiteBaseError): def __init__(self, tree, request, segment, req=None): super().__init__() self.tree, self.request, self.segment, self.req = tree, request, segment, req def __str__(self) -> str: return f"{self.tree} > {self.request}[{self.segment}] {'' if self.req is None else self.req}" class BufferRead(WebsiteBaseError): def __init__(self, buffer): super().__init__() self.buffer = buffer def __str__(self) -> str: return f"{self.buffer}"

27.52381

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578

5.072464

0.318841

0.091429

0.131429

0.154286

0.297143

0.137143

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0.216263

578

20

102

28.9

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0.285714

false

0.071429

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null

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1

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1

0

1

0

4

496df5ac2b816d0d93ed95d0c8119c0af62b55d9

91

py

Python

controller/ORCA_CLEAN/execute.py

nestorcalvo/Backend-AudioClean

7edb373c518193bc5643e9524d78d9ba32163b3f

[ "MIT" ]

null

controller/ORCA_CLEAN/execute.py

nestorcalvo/Backend-AudioClean

7edb373c518193bc5643e9524d78d9ba32163b3f

[ "MIT" ]

null

controller/ORCA_CLEAN/execute.py

nestorcalvo/Backend-AudioClean

7edb373c518193bc5643e9524d78d9ba32163b3f

[ "MIT" ]

null

from predict import predict if __name__ == "__main__": # predict() print("A ")

15.166667

27

0.604396

10

91

4.7

0.8

0

0.263736

91

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28

18.2

0.701493

0.098901

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0.1625

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0

true

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null

0

1

0

null

0

1

0

1

0

4

496f6fa945313ae8eb812d0256476b19fbb908f6

174

py

Python

fperms_iscore/main.py

druids/django-fperms-iscore

8e919cdc70ed57e0eb6407469de9ef2441ae06ad

[ "MIT" ]

1

2019-10-07T12:40:38.000Z

fperms_iscore/main.py

druids/django-fperms-iscore

8e919cdc70ed57e0eb6407469de9ef2441ae06ad

[ "MIT" ]

3

2019-08-09T14:10:21.000Z

2022-02-01T13:48:01.000Z

fperms_iscore/main.py

druids/django-fperms-iscore

8e919cdc70ed57e0eb6407469de9ef2441ae06ad

[ "MIT" ]

null

from is_core.main import DjangoUiRestCore from fperms_iscore.mixins import PermCoreMixin class PermDjangoUiRestCore(PermCoreMixin, DjangoUiRestCore): abstract = True

19.333333

60

0.833333

18

174

7.944444

0.777778

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0.126437

174

8

61

21.75

0.940789

0

1

0

false

0

0.5

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1

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1

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null

0

1

0

null

0

1

0

1

0

4

49706257061fd5cb42e071e2e21ada1c26eefe8c

593

py

Python

graviteeio_cli/commands/apim/apis/definition.py

Shaker5191/graviteeio-cli

318748bb8e631743ea58afaee24333249ca3d227

[ "Apache-2.0" ]

null

graviteeio_cli/commands/apim/apis/definition.py

Shaker5191/graviteeio-cli

318748bb8e631743ea58afaee24333249ca3d227

[ "Apache-2.0" ]

null

graviteeio_cli/commands/apim/apis/definition.py

Shaker5191/graviteeio-cli

318748bb8e631743ea58afaee24333249ca3d227

[ "Apache-2.0" ]

null

import click from .definition_group.apply import apply from .definition_group.diff import diff from .definition_group.generate import generate from .definition_group.create import create # from .definition_group.lint import lint @click.group(short_help="Manage API definition configuration") @click.pass_context def definition(ctx): """This group allow handling API definition commands from templating and value files""" pass definition.add_command(apply) definition.add_command(diff) definition.add_command(create) definition.add_command(generate) # definition.add_command(lint)

26.954545

91

0.819562

79

593

6

0.367089

0.147679

0.200422

0

0.104553

593

21

92

28.238095

0.892655

0.254637

0

1

0

0.08046

0

1

0.076923

false

0.153846

0.384615

0

0.461538

0

null

0

1

0

1

0

null

0

1

0

4

49788254641401f0ac3bea81c52abecf9425c9b7

58

py

Python

test/__init__.py

stungkit/tfidf_matcher

24182504d21f1eb978839b700f1c402c6288df2f

[ "MIT" ]

13

2020-02-24T18:29:15.000Z

2021-12-28T09:41:35.000Z

test/__init__.py

stungkit/tfidf_matcher

24182504d21f1eb978839b700f1c402c6288df2f

[ "MIT" ]

null

test/__init__.py

stungkit/tfidf_matcher

24182504d21f1eb978839b700f1c402c6288df2f

[ "MIT" ]

3

2020-07-21T04:32:45.000Z

2021-10-21T11:00:56.000Z

# AUTHOR: Louis Tsiattalou # DESCRIPTION: Init for Tests.

19.333333

30

0.758621

7

58

6.285714

1

0

0.155172

58

2

31

29

0.897959

0.913793

0

null

0

null

0

null

0

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true

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null

0

1

0

1

0

null

0

1

0

4

498724366b10f885fa79f500eaf773989a21c6f1

358

py

Python

tests/test_skeleton_says.py

thomascobb/skeleton-says

e2ea189e075a0847a6679dc066bad47ced5d397a

[ "Apache-2.0" ]

null

tests/test_skeleton_says.py

thomascobb/skeleton-says

e2ea189e075a0847a6679dc066bad47ced5d397a

[ "Apache-2.0" ]

null

tests/test_skeleton_says.py

thomascobb/skeleton-says

e2ea189e075a0847a6679dc066bad47ced5d397a

[ "Apache-2.0" ]

null

from skeleton_says import say skeleton_saying_hello = r""" ------- ( Hello ) ------- \ \ .-. \(o.o) |=| __|__ //.=|=.\\ // .=|=. \\ \\ .=|=. // \\(_=_)// (:| |:) || || () () || || || || l42 ==' '== """ def test_say_command_says_hello() -> None: assert say.say("Hello") == skeleton_saying_hello

13.259259

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0.379888

27

358

4.481481

0.555556

0.231405

0.31405

0

0.00813

0.312849

358

26

53

13.769231

0.48374

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0.043478

false

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0

1

0

null

1

0

1

0

null

0

4

498e87a7732f2915dd699629baa71c985e250298

143

py

Python

app/sett.py

AndreyKaBelka/MoneySaver

5ad2bc60379aeb0b02e71760e22b260bf29982e2

[ "Apache-2.0" ]

null

app/sett.py

AndreyKaBelka/MoneySaver

5ad2bc60379aeb0b02e71760e22b260bf29982e2

[ "Apache-2.0" ]

3

2020-12-12T23:33:36.000Z

2020-12-12T23:35:54.000Z

app/sett.py

AndreyKaBelka/MoneySaver

5ad2bc60379aeb0b02e71760e22b260bf29982e2

[ "Apache-2.0" ]

null

class Settings: BOT_KEY = "" HOST_NAME = "127.0.0.1" USER_NAME = "root" USER_PASS = "Andrey171200" SQL_NAME = "moneysaver"

20.428571

30

0.608392

19

143

4.315789

0.789474

0

0.113208

0.258741

143

6

31

23.833333

0.660377

0

0.244755

0

1

0

false

0.166667

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

49a17ebec39db4cc9cf78ab25d40d4459000d689

264

py

Python

AiSD_03/Zadanie_7.py

DLQuake/Algorytmy_i_struktury_danych

210d0b4e868e5cc9d6aa730a2297d8074e4d52a1

[ "MIT" ]

null

AiSD_03/Zadanie_7.py

DLQuake/Algorytmy_i_struktury_danych

210d0b4e868e5cc9d6aa730a2297d8074e4d52a1

[ "MIT" ]

null

AiSD_03/Zadanie_7.py

DLQuake/Algorytmy_i_struktury_danych

210d0b4e868e5cc9d6aa730a2297d8074e4d52a1

[ "MIT" ]

null

# Zaimplementować funkcję n_sums(n: int) -> listint, która zwróci wszystkie n-cyfrowe liczby o takich samych sumach na indeksach parzystych i nieparzystych. Przykładowo, dla 3 cyfr będą to liczby m.in. 198, 220, 891, 990 def n_sums(n: int): print(n_sums(3))

44

220

0.75

44

264

4.431818

0.772727

0.076923

0.061538

0.092308

0

0.063348

0.162879

264

6

221

44

0.819005

0.825758

0

null

0

null

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

4

b8fe991a0b450794e796f906cb32a0c3c5911676

77

py

Python

pyrepl/iconsole.py

thinkle/snippets

a19fd709fc618cee9d76b7481b834c3e0d4ed397

[ "BSD-2-Clause-FreeBSD" ]

null

pyrepl/iconsole.py

thinkle/snippets

a19fd709fc618cee9d76b7481b834c3e0d4ed397

[ "BSD-2-Clause-FreeBSD" ]

null

pyrepl/iconsole.py

thinkle/snippets

a19fd709fc618cee9d76b7481b834c3e0d4ed397

[ "BSD-2-Clause-FreeBSD" ]

1

2019-08-28T22:06:53.000Z

from IPython.Shell import IPShellEmbed ipshell = IPShellEmbed() ipshell()

11

38

0.779221

8

77

7.5

0.75

0.633333

0

0.142857

77

6

39

12.833333

0.909091

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

4

7707130bae4f273be796d5022abf873f7542914d

89

py

Python

cookies/apps.py

hamishwillee/http_tester_site

5c9fa6840c7931f4a7dbd669616cb7b06e29c068

[ "MIT" ]

null

cookies/apps.py

hamishwillee/http_tester_site

5c9fa6840c7931f4a7dbd669616cb7b06e29c068

[ "MIT" ]

8

2021-03-19T10:14:39.000Z

2022-03-12T00:24:41.000Z

cookies/apps.py

ADpDinamo/site

d7313cd6c151a381ccc803b81768673587cb8d45

[ "Apache-2.0" ]

null

from django.apps import AppConfig class CookiesConfig(AppConfig): name = 'cookies'

14.833333

33

0.752809

10

89

6.7

0.9

0

0.168539

89

5

34

17.8

0.905405

0

0.078652

0

1

0

false

0

0.333333

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1

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null

0

1

0

null

0

1

0

1

0

4

770d1178d917aa0b3ade69999920d0f07b37f63c

447

py

Python

backend/src/util/observable.py

r2binx/heimboard

42059d367e5b15c4910e61f4be0e3b462da8d5f7

[ "MIT" ]

6

2021-12-20T21:36:03.000Z

2022-03-30T16:04:54.000Z

backend/src/util/observable.py

r2binx/heimboard

42059d367e5b15c4910e61f4be0e3b462da8d5f7

[ "MIT" ]

16

2021-12-20T20:14:43.000Z

2022-01-26T12:43:59.000Z

backend/src/util/observable.py

r2binx/heimboard

42059d367e5b15c4910e61f4be0e3b462da8d5f7

[ "MIT" ]

1

2022-01-25T20:59:35.000Z

from typing import List class Observable: _observers: List = [] def __init__(self): self._observers = [] def subscribe(self, observer): self._observers.append(observer) def notify_observers(self, *args, **kwargs): for obs in self._observers: obs.notify(self, *args, **kwargs) def unsubscribe(self, observer): self._observers.remove(observer) def start(self): pass

20.318182

48

0.621924

49

447

5.469388

0.469388

0.19403

0.119403

0.186567

0

0.268456

447

21

49

21.285714

0.819572

0

1

0.357143

false

0.071429

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0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

4

7738eed30266f468e9290a38da24497ebf1d541d

357

py

Python

project/Fast/django/decorators/auth.py

fael07/DRF-Project

f65b4177e56e7209d2369ba9d6d81bfe00321052

[ "MIT" ]

null

project/Fast/django/decorators/auth.py

fael07/DRF-Project

f65b4177e56e7209d2369ba9d6d81bfe00321052

[ "MIT" ]

null

project/Fast/django/decorators/auth.py

fael07/DRF-Project

f65b4177e56e7209d2369ba9d6d81bfe00321052

[ "MIT" ]

null

from ...forms.checks import check_is_logged from django.shortcuts import redirect def no_login_required(view_function): def exec_view_function(*args, **kwargs): request = args[0] if check_is_logged(request): return redirect('/') return view_function(*args, **kwargs) return exec_view_function

23.8

47

0.661064

43

357

5.209302

0.534884

0.214286

0.116071

0.196429

0

0.003731

0.2493

357

14

48

25.5

0.83209

0

0.002801

0

1

0.222222

false

0

0.222222

0

0.777778

0

null

1

0

1

0

null

0

1

0

1

0

4

773a2176b2ba4a1a9a4e1bd585d65e2d15549d01

226

py

Python

HackerRank/CtCI/array_left_rotation.py

mahasak/Practice

7ed125087b977b034161157830b8e415d52b6ed7

[ "Unlicense" ]

null

HackerRank/CtCI/array_left_rotation.py

mahasak/Practice

7ed125087b977b034161157830b8e415d52b6ed7

[ "Unlicense" ]

null

HackerRank/CtCI/array_left_rotation.py

mahasak/Practice

7ed125087b977b034161157830b8e415d52b6ed7

[ "Unlicense" ]

null

def array_left_rotation(a, n, k): return a[k:] + a[0:k] n, k = map(int, raw_input().strip().split(' ')) a = map(int, raw_input().strip().split(' ')) answer = array_left_rotation(a, n, k); print ' '.join(map(str,answer))

25.111111

47

0.610619

40

226

3.3

0.475

0.045455

0.257576

0.272727

0.666667

0

0.005181

0.146018

226

8

48

28.25

0.678756

0

0.013333

0

null

0

null

0.166667

0

null

0

1

0

1

0

null

0

1

0

4

773e5f3762c89c880f8d622fb33299a5f198d29d

130

bzl

Python

test/external_repo/repo.bzl

Vertexwahn/depend_on_what_you_use

480732677a74fb7033848004d4d5015af0ad36c5

[ "MIT" ]

null

test/external_repo/repo.bzl

Vertexwahn/depend_on_what_you_use

480732677a74fb7033848004d4d5015af0ad36c5

[ "MIT" ]

null

test/external_repo/repo.bzl

Vertexwahn/depend_on_what_you_use

480732677a74fb7033848004d4d5015af0ad36c5

[ "MIT" ]

null

def load_external_repo(): native.local_repository( name = "ext_repo", path = "test/external_repo/repo", )

21.666667

41

0.615385

15

130

5

0.733333

0.32

0

0.261538

130

5

42

26

0.78125

0

0.238462

0.176923

0

1

0.2

true

0

0.2

0

1

0

null

1

0

1

0

null

0

1

0

4

774ee32b7bd61777145b97c33929e59c467687c5

64

py

Python

pyCameras/__init__.py

imr-luh/pyCameras

30fc220022b0562f5244d9fd5f436b8630abe4cd

[ "MIT" ]

2

2019-05-10T08:43:38.000Z

2019-05-17T16:00:13.000Z

pyCameras/__init__.py

imr-luh/pyCameras

30fc220022b0562f5244d9fd5f436b8630abe4cd

[ "MIT" ]

null

pyCameras/__init__.py

imr-luh/pyCameras

30fc220022b0562f5244d9fd5f436b8630abe4cd

[ "MIT" ]

2

2020-03-10T17:15:08.000Z

2020-04-24T09:02:21.000Z

__version__ = '0.0.1' from . import utils from .utils import *

12.8

21

0.6875

10

64

4

0.6

0

0.057692

0.1875

64

4

22

16

0.711538

0

0.078125

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

62291b009a583ae54f27aedb9899f9e284646d88

598

py

Python

Classes/ex17.py

oDallas/PythomBR

7d3b3bcefe05ce483f6aa664bbc4962a1e0fd285

[ "MIT" ]

1

2019-06-02T18:59:18.000Z

Classes/ex17.py

oDallas/PythonBR

7d3b3bcefe05ce483f6aa664bbc4962a1e0fd285

[ "MIT" ]

null

Classes/ex17.py

oDallas/PythonBR

7d3b3bcefe05ce483f6aa664bbc4962a1e0fd285

[ "MIT" ]

null

"""" Crie uma Fazenda de Bichinhos instanciando vários objetos bichinho e mantendo o controle deles através de uma lista. Imite o funcionamento do programa básico, mas ao invés de exigis que o usuário tome conta de um único bichinho, exija que ele tome conta da fazenda inteira. Cada opção do menu deveria permitir que o usuário executasse uma ação para todos os bichinhos (alimentar todos os bichinhos, brincar com todos os bichinhos, ou ouvir a todos os bichinhos). Para tornar o programa mais interessante, dê para cada bichinho um nivel inicial aleatório de fome e tédio. """ # todo: terminar

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626c09d5e7442d6e48e408bb35182589e7d6f723

87

py

Python

tests/periodicities/Business_Day/Cycle_Business_Day_200_B_24.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

null

tests/periodicities/Business_Day/Cycle_Business_Day_200_B_24.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

1

2019-11-30T23:39:38.000Z

2019-12-01T04:34:35.000Z

tests/periodicities/Business_Day/Cycle_Business_Day_200_B_24.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

null

import pyaf.tests.periodicities.period_test as per per.buildModel((24 , 'B' , 200));

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626cc4db6e624b921fb50a7db02432aa617a9dbd

215

py

Python

shell/response.py

YorkSu/deepgo

2f22ad50d2958a4f1c7dfc0af6fcd448f5e7e18d

[ "Apache-2.0" ]

null

shell/response.py

YorkSu/deepgo

2f22ad50d2958a4f1c7dfc0af6fcd448f5e7e18d

[ "Apache-2.0" ]

null

shell/response.py

YorkSu/deepgo

2f22ad50d2958a4f1c7dfc0af6fcd448f5e7e18d

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """Response ====== Response Class """ from deepgo.core.kernel.popo import VO class Response(VO): def __init__(self): self.code = 0 def json(self): return self.__dict__

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null

0

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62781a4622485a3c3996f4345f375edf051908c6

83

py

Python

backend/bios/apps.py

juanrmv/torre-test

39c4f8928f6f51e462975ef5f89c7a9b5bb05733

[ "Apache-2.0" ]

null

backend/bios/apps.py

juanrmv/torre-test

39c4f8928f6f51e462975ef5f89c7a9b5bb05733

[ "Apache-2.0" ]

null

backend/bios/apps.py

juanrmv/torre-test

39c4f8928f6f51e462975ef5f89c7a9b5bb05733

[ "Apache-2.0" ]

null

from django.apps import AppConfig class BiosConfig(AppConfig): name = 'bios'

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656dd6e36b81c8ae6c5f6face7c1c54668fb5ff1

307

py

Python

stix_shifter_modules/secretserver/stix_transmission/delete_connector.py

grimmjow8/stix-shifter

7d252fc241a606f0141ed50d64368d8a5e7e5c5a

[ "Apache-2.0" ]

129

2019-10-09T17:13:03.000Z

2022-03-03T08:25:46.000Z

stix_shifter_modules/secretserver/stix_transmission/delete_connector.py

grimmjow8/stix-shifter

7d252fc241a606f0141ed50d64368d8a5e7e5c5a

[ "Apache-2.0" ]

415

2019-10-03T14:29:20.000Z

2022-03-31T18:23:41.000Z

stix_shifter_modules/secretserver/stix_transmission/delete_connector.py

grimmjow8/stix-shifter

7d252fc241a606f0141ed50d64368d8a5e7e5c5a

[ "Apache-2.0" ]

178

2019-10-08T22:18:48.000Z

2022-03-21T11:04:05.000Z

from stix_shifter_utils.modules.base.stix_transmission.base_delete_connector import BaseDeleteConnector class DeleteConnector(BaseDeleteConnector): def __init__(self, api_client): self.api_client = api_client def delete_query_connection(self, search_id): return {"success": True}

30.7

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1

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4

657895d9e23f4c721777cf7c3eb7603b0f1ecfd7

199

py

Python

app/gunicorn_settings.py

jsonbinit/jsonbinit-api

babbf16f1fafe913d9fdb2646cb7a9542ec19355

[ "MIT" ]

3

2020-06-24T14:55:51.000Z

2020-06-25T23:12:13.000Z

app/gunicorn_settings.py

jsonbinit/jsonbinit-api

babbf16f1fafe913d9fdb2646cb7a9542ec19355

[ "MIT" ]

3

2020-04-23T10:39:25.000Z

2020-06-24T15:22:25.000Z

app/gunicorn_settings.py

jsonbinit/jsonbinit-api

babbf16f1fafe913d9fdb2646cb7a9542ec19355

[ "MIT" ]

null

import multiprocessing import os bind = "{0}:{1}".format(os.environ.get('HOST', '0.0.0.0'), os.environ.get('PORT', '8080')) workers = os.environ.get('WORKERS', multiprocessing.cpu_count() * 2 + 1)

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65990aa07c9374074643ecde94fe1aa073f34786

4,310

py

Python

tests/test_schema.py

LeafyLappa/starlette-jsonapi

1cd7268fe78983c0203e4f65549f974d3f5d968f

[ "MIT" ]

16

2020-07-05T18:12:41.000Z

2022-03-11T21:12:17.000Z

tests/test_schema.py

LeafyLappa/starlette-jsonapi

1cd7268fe78983c0203e4f65549f974d3f5d968f

[ "MIT" ]

25

2020-07-04T17:06:40.000Z

2021-08-18T09:24:30.000Z

tests/test_schema.py

LeafyLappa/starlette-jsonapi

1cd7268fe78983c0203e4f65549f974d3f5d968f

[ "MIT" ]

3

2020-07-10T14:17:44.000Z

2021-08-12T11:43:45.000Z

import pytest from marshmallow_jsonapi import fields from starlette.applications import Starlette from starlette_jsonapi.resource import BaseResource from starlette_jsonapi.schema import JSONAPISchema def test_schema_urls(app: Starlette): class TResource(BaseResource): type_ = 'test-resource' TResource.register_routes(app, '/') class TSchema(JSONAPISchema): id = fields.Str(dump_only=True) name = fields.Str() class Meta: type_ = 'test-resource' self_route = 'test-resource:get' self_route_kwargs = {'id': '<id>'} self_route_many = 'test-resource:get_many' rv = TSchema().dump(dict(id='foo', name='foo-name')) assert rv == { 'data': { 'id': 'foo', 'type': 'test-resource', 'attributes': { 'name': 'foo-name', } } } rv = TSchema(app=app).dump(dict(id='foo', name='foo-name')) assert rv == { 'data': { 'id': 'foo', 'type': 'test-resource', 'attributes': { 'name': 'foo-name', }, 'links': { 'self': '/test-resource/foo', }, }, 'links': { 'self': '/test-resource/foo', }, } def test_prefixed_schema_urls(app: Starlette): class TResource(BaseResource): type_ = 'test-resource' TResource.register_routes(app, '/') class TSchema(JSONAPISchema): id = fields.Str(dump_only=True) name = fields.Str() class Meta: type_ = 'test-resource' self_route = 'test-resource:get' self_route_kwargs = {'id': '<id>'} self_route_many = 'test-resource:get_many' app.url_prefix = 'https://example.com' rv = TSchema(app=app).dump(dict(id='foo', name='foo-name')) assert rv == { 'data': { 'id': 'foo', 'type': 'test-resource', 'attributes': { 'name': 'foo-name', }, 'links': { 'self': 'https://example.com/test-resource/foo', }, }, 'links': { 'self': 'https://example.com/test-resource/foo', }, } def test_schema_raises_wrong_meta_parameters(): with pytest.raises(ValueError) as exc: class TSchema(JSONAPISchema): id = fields.Str(dump_only=True) name = fields.Str() class Meta: type_ = 'test-resource' self_url = 'foo' assert str(exc.value) == 'Use `self_route` instead of `self_url` when using the Starlette extension.' with pytest.raises(ValueError) as exc: class TSchema2(JSONAPISchema): id = fields.Str(dump_only=True) name = fields.Str() class Meta: type_ = 'test-resource' self_url_kwargs = 'foo' assert str(exc.value) == 'Use `self_route_kwargs` instead of `self_url_kwargs` when using the Starlette extension.' with pytest.raises(ValueError) as exc: class TSchema3(JSONAPISchema): id = fields.Str(dump_only=True) name = fields.Str() class Meta: type_ = 'test-resource' self_url_many = 'foo' assert str(exc.value) == 'Use `self_route_many` instead of `self_url_many` when using the Starlette extension.' with pytest.raises(ValueError) as exc: class TSchema4(JSONAPISchema): id = fields.Str(dump_only=True) name = fields.Str() class Meta: type_ = 'test-resource' self_route_kwargs = 'foo' assert str(exc.value) == 'Must specify `self_route` Meta option when `self_route_kwargs` is specified.' def test_schema_excludes_unknown(): class TSchema(JSONAPISchema): id = fields.Str(dump_only=True) name = fields.Str() class Meta: type_ = 'test-resource' d = TSchema().loads('{"data": {"type": "test-resource", "id": "foo", "attributes": {"unknown": "bar"}}}') assert d == {} d = TSchema().loads('{"data": {"type": "test-resource", "id": "foo", "attributes": {"name": "bar"}, "unknown": 1}}') assert d == {'name': 'bar'}

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65a0da8d520c64ade98d09bb5d2663a8e3d3134d

102

py

Python

tftool/access/__init__.py

antsfamily/tftool

0de72be13b3ca43e8a95c8be726c55841b389973

[ "MIT" ]

null

tftool/access/__init__.py

antsfamily/tftool

0de72be13b3ca43e8a95c8be726c55841b389973

[ "MIT" ]

null

tftool/access/__init__.py

antsfamily/tftool

0de72be13b3ca43e8a95c8be726c55841b389973

[ "MIT" ]

null

from __future__ import absolute_import from .load import load_ckpt from .save import save_ckpt

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0

1

0

1

0

4

65aa8588c528dddf9da0b75de2f8177f0b66e0ef

1,043

py

Python

Go6/policy_probabilistic_player.py

skyu0221/cmput496

ad1e59805ab49324ec1e387ddeaf3dd3202518bc

[ "MIT" ]

null

Go6/policy_probabilistic_player.py

skyu0221/cmput496

ad1e59805ab49324ec1e387ddeaf3dd3202518bc

[ "MIT" ]

null

Go6/policy_probabilistic_player.py

skyu0221/cmput496

ad1e59805ab49324ec1e387ddeaf3dd3202518bc

[ "MIT" ]

null

#!/usr/bin/python3 from board_util import GoBoardUtil from gtp_connection import GtpConnection class PolicyPlayer(object): """ Plays according to the Go4 playout policy. No simulations, just random choice among current policy moves """ version = 0.1 name = "Policy Probabilistic Player" def __init__(self): pass def get_move(self, board, toplay): return GoBoardUtil.generate_probabilistic( \ GoBoardUtil.generate_prob_playout_moves( board ) ) def policy(self,board,color): return self.get_move( board, color ) def run(self, board, color, print_info=False): pass def reset(self): pass def update(self, move): pass def get_properties(self): return dict( version=self.version, name=self.__class__.__name__, ) def createPolicyPlayer(): con = GtpConnection(PolicyPlayer()) con.start_connection() if __name__=='__main__': createPolicyPlayer()

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null

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1

0

4

65b51ba1b7053c61b8b8e0893b561770fa90e439

22

py

Python

python/testData/keywordCompletion/noneInArgList.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/keywordCompletion/noneInArgList.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/keywordCompletion/noneInArgList.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def foo(x=Non<caret>):

22

0.681818

5

22

3

1

0

0.045455

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1

22

0.714286

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

65c34c95b750096053aaef54a2b648be5c44772c

230

py

Python

server.py

Peopple-Shopping-App/mockserver

c38c3f325e44f4eaba39cdbe24544e3181307218

[ "MIT" ]

1

2021-07-23T03:43:19.000Z

server.py

Peopple-Shopping-App/mockserver

c38c3f325e44f4eaba39cdbe24544e3181307218

[ "MIT" ]

null

server.py

Peopple-Shopping-App/mockserver

c38c3f325e44f4eaba39cdbe24544e3181307218

[ "MIT" ]

null

import uvicorn if __name__ == '__main__': <<<<<<< HEAD uvicorn.run('app.main:app', host='0.0.0.0', port=80) ======= uvicorn.run('app.main:app', host='0.0.0.0', port=2323) >>>>>>> c583e3d93c9b7f8e76ce1d676a24740b62ef3552

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0

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1

0

1

0

1

0

null

0

1

0

4

65c8b9280ebaf25f0fb4b1658671be5a8f2ed641

228

py

Python

apps/news/forms.py

LishenZz/my_project

c2ac8199efb467e303d343ea34ed1969b64280d7

[ "Apache-2.0" ]

null

apps/news/forms.py

LishenZz/my_project

c2ac8199efb467e303d343ea34ed1969b64280d7

[ "Apache-2.0" ]

null

apps/news/forms.py

LishenZz/my_project

c2ac8199efb467e303d343ea34ed1969b64280d7

[ "Apache-2.0" ]

null

#Author:Li Shen from django import forms from apps.forms import FormMixin class PublicCommentForm(forms.Form,FormMixin): #CharField字长在form可不定义，但是在model模型中必须定义 content=forms.CharField() news_id=forms.IntegerField()

22.8

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6.923077

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228

9

47

25.333333

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0

1

0

false

0

0.4

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1

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null

0

1

0

null

0

1

0

1

0

4

02b0025b6adb156b789fef5aff0bf34cd7804353

87

py

Python

sportstrackeranalyzer/plugin_handler/__init__.py

XeBoris/SportsTrackerAnalyzer

f211a9120b9ba91bb04b9742c80d0de7b4143f78

[ "MIT" ]

1

2021-02-12T08:00:34.000Z

sportstrackeranalyzer/plugin_handler/__init__.py

XeBoris/SportsTrackerAnalyzer

f211a9120b9ba91bb04b9742c80d0de7b4143f78

[ "MIT" ]

null

sportstrackeranalyzer/plugin_handler/__init__.py

XeBoris/SportsTrackerAnalyzer

f211a9120b9ba91bb04b9742c80d0de7b4143f78

[ "MIT" ]

null

from sportstrackeranalyzer.plugins.plugin_simple_distances import Plugin_SimpleDistance

87

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87

8.777778

0.888889

0

0.034483

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1

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null

0

1

0

null

0

1

0

1

0

4

02bf002db0ba833a4cef03b49b9c37dba336934d

244

py

Python

dask_ml/model_selection.py

lesteve/dask-ml

0aca19c545be5c27bedcfbab5554b4ba39a6d754

[ "BSD-3-Clause" ]

1

2020-12-01T13:20:05.000Z

dask_ml/model_selection.py

lesteve/dask-ml

0aca19c545be5c27bedcfbab5554b4ba39a6d754

[ "BSD-3-Clause" ]

null

dask_ml/model_selection.py

lesteve/dask-ml

0aca19c545be5c27bedcfbab5554b4ba39a6d754

[ "BSD-3-Clause" ]

null

"""Utilities for hyperparameter optimization. These estimators will operate in parallel. Their scalability depends on the underlying estimators being used. """ from dask_searchcv.model_selection import GridSearchCV, RandomizedSearchCV # noqa

34.857143

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0.831967

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244

7.178571

0.964286

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0.118852

244

6

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40.666667

0.934884

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0

1

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true

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null

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1

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null

0

1

0

1

0

4

02c06f0c429f92d5e5a68c4d5f561cf2b85e43c8

23

py

Python

code/sample_2-1-9.py

KoyanagiHitoshi/AtCoder-Python-Introduction

6d014e333a873f545b4d32d438e57cf428b10b96

[ "MIT" ]

1

2022-03-29T13:50:12.000Z

code/sample_2-1-9.py

KoyanagiHitoshi/AtCoder-Python-Introduction

6d014e333a873f545b4d32d438e57cf428b10b96

[ "MIT" ]

null

code/sample_2-1-9.py

KoyanagiHitoshi/AtCoder-Python-Introduction

6d014e333a873f545b4d32d438e57cf428b10b96

[ "MIT" ]

null

x = 5 y = 6 print(x*y)

5.75

10

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7

23

1.571429

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0

0.125

0.304348

23

3

11

7.666667

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1

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false

0

0.333333

1

null

0

1

0

null

0

4

02ec3adf599332a9c2e8596007821b919933d4a9

167

py

Python

wsgi.py

emilan21/macvert

ac219507a6b20372861667f4ade8084c9902a231

[ "MIT" ]

null

wsgi.py

emilan21/macvert

ac219507a6b20372861667f4ade8084c9902a231

[ "MIT" ]

null

wsgi.py

emilan21/macvert

ac219507a6b20372861667f4ade8084c9902a231

[ "MIT" ]

null

#!/usr/bin/python # mac_convertor.py - Converts mac address from various formats to other formats from macvert.web import app if __name__ == '__main__': app.run()

20.875

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23.857143

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0

null

0

1

0

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4

f30618f542da8cbd2c4223847a99725100131374

901

py

Python

hsir/law.py

WenjieZ/wuhan-pneumonia

3d26955daa2deedec57cdd3effb3118531bbea7f

[ "BSD-3-Clause" ]

6

2020-01-26T07:33:41.000Z

2020-02-25T22:15:43.000Z

hsir/law.py

WenjieZ/wuhan-pneumonia

3d26955daa2deedec57cdd3effb3118531bbea7f

[ "BSD-3-Clause" ]

2

2020-02-17T16:12:50.000Z

2020-02-29T21:31:17.000Z

hsir/law.py

WenjieZ/wuhan-pneumonia

3d26955daa2deedec57cdd3effb3118531bbea7f

[ "BSD-3-Clause" ]

1

2020-03-07T00:13:05.000Z

from abc import ABCMeta, abstractmethod import numpy as np __all__ = ['Law', 'Bin', 'Poi', 'Gau'] class Law(metaclass=ABCMeta): @staticmethod @abstractmethod def sample(n, d): pass @staticmethod @abstractmethod def loglikely(n, d, k): pass @staticmethod def likelihood(n, d, k): return np.exp(loglikely(n, d, k)) class Bin(Law): def sample(n, d): return np.random.binomial(n, d) def loglikely(n, d, k): return k*np.log(d) + (n-k)*np.log(1-d) class Poi(Law): def sample(n, d): return np.random.poisson(n*d) def loglikely(n, d, k): return k*np.log(n*d) - n*d + k - k*np.log(1+k) # - np.sum(np.log(np.arange(k)+1)) class Gau(Law): def sample(n, d=1): return n * (1 + 0.1*np.random.randn()) def loglikely(n, d, k): return -50 * np.log(k/n)**2

20.022222

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0.54828

143

901

3.426573

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0.122449

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0.286349

901

44

90

20.477273

0.746501

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0.066667

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null

0

null

0

1

0

1

0

1

0

4

f30707b9e83fba3280f410223a1fd7949422e724

164

py

Python

rpncalc/exceptions.py

newmanrs/rpncalc

8663e5221efd78c12889b6db4eda20821b27d52a

[ "MIT" ]

null

rpncalc/exceptions.py

newmanrs/rpncalc

8663e5221efd78c12889b6db4eda20821b27d52a

[ "MIT" ]

11

2021-11-10T04:28:51.000Z

2022-02-25T05:19:22.000Z

rpncalc/exceptions.py

newmanrs/rpncalc

8663e5221efd78c12889b6db4eda20821b27d52a

[ "MIT" ]

null

class RpnCalcError(Exception): """Calculator Generic Exception""" pass class StackDepletedError(RpnCalcError): """ Stack is out of items """ pass

18.222222

39

0.682927

16

164

7

0.75

0

0.207317

164

8

40

20.5

0.861538

0.304878

0

0.5

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0

1

0

null

0

1

0

null

0

1

0

4

f30ee9cbdc128ebb414011f1922779899d37a824

77

py

Python

code/abc122_a_01.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

3

2019-08-16T16:55:48.000Z

2021-04-11T10:21:40.000Z

code/abc122_a_01.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

code/abc122_a_01.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

b=input() print("A" if b=="T" else "T" if b=="A" else "G" if b=="C" else "C")

38.5

67

0.506494

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77

2.052632

0.473684

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0.168831

77

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67

38.5

0.609375

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0.089744

0

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null

1

0

1

0

null

0

1

0

4

b82b18f5c487a5e8f40d5acca12f69514df44f14

590

py

Python

FisherExactTest/__version__.py

Ae-Mc/Fisher

166e3ac68e304ed7418393d6a7717dd6f7032c15

[ "MIT" ]

null

FisherExactTest/__version__.py

Ae-Mc/Fisher

166e3ac68e304ed7418393d6a7717dd6f7032c15

[ "MIT" ]

null

FisherExactTest/__version__.py

Ae-Mc/Fisher

166e3ac68e304ed7418393d6a7717dd6f7032c15

[ "MIT" ]

null

__title__ = "FisherExactTest" __version__ = "1.0.1" __author__ = "Ae-Mc" __author_email__ = "ae_mc@mail.ru" __description__ = "Two tailed Fisher's exact test wrote in pure Python" __url__ = "https://github.com/Ae-Mc/Fisher" __classifiers__ = [ "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Topic :: Utilities" ]

34.705882

71

0.661017

70

590

5.142857

0.642857

0.263889

0.347222

0.361111

0

0.024948

0.184746

590

16

72

36.875

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0

null

1

0

1

0

null

0

4

b8522b1cda4c464e1d7c573371d89f13b40ae37b

89

py

Python

todoapi/apps.py

Faysa1/Gestion-Tickets-Taches

eeba92df59c3217d15b02a5bb1ed3c6e673537a4

[ "Apache-2.0" ]

51

2018-12-12T20:18:31.000Z

2022-03-11T20:23:35.000Z

todoapi/apps.py

Faysa1/Gestion-Tickets-Taches

eeba92df59c3217d15b02a5bb1ed3c6e673537a4

[ "Apache-2.0" ]

11

2018-12-17T08:48:07.000Z

2022-03-02T02:54:38.000Z

todoapi/apps.py

Faysa1/Gestion-Tickets-Taches

eeba92df59c3217d15b02a5bb1ed3c6e673537a4

[ "Apache-2.0" ]

29

2018-12-12T20:19:00.000Z

2022-01-18T12:33:21.000Z

from django.apps import AppConfig class TodoapiConfig(AppConfig): name = 'todoapi'

14.833333

33

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89

6.7

0.9

0

0.168539

89

5

34

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null

0

1

0

1

0

4

b85e66013be32836e47b0a35176f156e7e93f2e2

352

py

Python

utils/tracker.py

emarche/Fashion-MNIST

f8183e33ab7c3df673a60de3b16f2c4c979b89bb

[ "MIT" ]

null

utils/tracker.py

emarche/Fashion-MNIST

f8183e33ab7c3df673a60de3b16f2c4c979b89bb

[ "MIT" ]

null

utils/tracker.py

emarche/Fashion-MNIST

f8183e33ab7c3df673a60de3b16f2c4c979b89bb

[ "MIT" ]

null

import os import numpy as np class Tracker: def __init__(self, seed, model_name): self.save_tag = model_name + '_seed_' + str(seed) self.model_save = "models/" if not os.path.exists(self.model_save): os.makedirs(self.model_save) def save_model(self, model): model.save(self.model_save + self.save_tag + '.h5')

29.333333

76

0.661932

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352

4.113208

0.433962

0.206422

0.238532

0

0.003623

0.215909

352

12

77

29.333333

0.786232

0

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0.222222

false

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0

null

1

0

null

0

1

0

1

0

4

b865512ce604a1054ccd890643255a1593208d7a

224

py

Python

bootstrap_rmsf/__init__.py

jeeberhardt/bootstrap_rmsf

1487251ffde91d34b7609aec147c0ff99fc7cded

[ "MIT" ]

1

2021-08-06T02:31:32.000Z

bootstrap_rmsf/__init__.py

jeeberhardt/bootstrap_rmsf

1487251ffde91d34b7609aec147c0ff99fc7cded

[ "MIT" ]

null

bootstrap_rmsf/__init__.py

jeeberhardt/bootstrap_rmsf

1487251ffde91d34b7609aec147c0ff99fc7cded

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Jérôme Eberhardt 2018 # Bootstrap RMSF # Author: Jérôme Eberhardt <qksonoe@gmail.com> # # License: MIT from bootstrap_rmsf import Bootstrap_RMSF from utils import plot_rmsf

18.666667

46

0.736607

31

224

5.225806

0.709677

0.240741

0

0.026178

0.147321

224

11

47

20.363636

0.82199

0.611607

0

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null

0

1

0

1

0

1

0

4

b8746c0bb1705159c5c6690183e9699670c24d04

217

bzl

Python

bazel_versions.bzl

pennig/rules_xcodeproj

109ab85a82954ea38f0529eafc291f5ce6f63483

[ "MIT" ]

1

2022-03-31T09:13:24.000Z

bazel_versions.bzl

pennig/rules_xcodeproj

109ab85a82954ea38f0529eafc291f5ce6f63483

[ "MIT" ]

null

bazel_versions.bzl

pennig/rules_xcodeproj

109ab85a82954ea38f0529eafc291f5ce6f63483

[ "MIT" ]

null

"""Specifies the supported Bazel versions.""" CURRENT_BAZEL_VERSION = "5.0.0" OTHER_BAZEL_VERSIONS = [ "6.0.0-pre.20220223.1", ] SUPPORTED_BAZEL_VERSIONS = [ CURRENT_BAZEL_VERSION, ] + OTHER_BAZEL_VERSIONS

18.083333

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217

5.103448

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0.351351

0.297297

0.391892

0.554054

0

0.080645

0.142857

217

11

46

19.727273

0.715054

0.179724

0

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0

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false

0

1

0

null

1

0

null

0

4

b8a247344049a96e9c957980e4d29c8b38b429af

21

py

Python

sgqlc/__init__.py

pberthonneau/sgqlc

6fb29d381239ba9256589cf177d236eb79b3f8cc

[ "ISC" ]

null

sgqlc/__init__.py

pberthonneau/sgqlc

6fb29d381239ba9256589cf177d236eb79b3f8cc

[ "ISC" ]

null

sgqlc/__init__.py

pberthonneau/sgqlc

6fb29d381239ba9256589cf177d236eb79b3f8cc

[ "ISC" ]

null

__version__ = '10.0'

10.5

20

0.666667

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3.333333

1

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0.142857

21

1

21

0.388889

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0

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0

1

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null

0

1

0

1

0

null

0

4

b8b69dfcb1d5f6e006ee8b568536b7b0df129c02

5,521

py

Python

models/Libraries/UnitTest.py

yangshiquan/GraphDialog

5bb1239bf502c8d79c4c888f69c7aff0c02c2928

[ "MIT" ]

26

2020-09-25T02:19:43.000Z

2022-03-27T09:03:34.000Z

models/Libraries/UnitTest.py

yangshiquan/GraphDialog

5bb1239bf502c8d79c4c888f69c7aff0c02c2928

[ "MIT" ]

1

2020-10-28T11:28:35.000Z

models/Libraries/UnitTest.py

yangshiquan/GraphDialog

5bb1239bf502c8d79c4c888f69c7aff0c02c2928

[ "MIT" ]

2

2020-12-17T08:49:13.000Z

2021-04-18T13:08:48.000Z

import tensorflow as tf from models.Libraries.BidirectionalGraphEncoder import BidirectionalGraphEncoder from tensorflow.python.ops import array_ops if __name__ == "__main__": # units=2, input_dim=2, edge_types=10, recurrent_size=4 bi_graph_encoder = BidirectionalGraphEncoder(2, 2, 10, 4) # inputs: batch_size=8, max_len=3, embedding_dim=2 # inputs: batch_size*max_len*embedding_dim inputs = tf.convert_to_tensor([[[0.1, 0.2],[0.0, 0.0],[0.0, 0.0]],[[0.1, 0.2],[0.3, 0.4],[0.0, 0.0]],[[0.1, 0.2],[0.3, 0.4],[0.5, 0.6]],[[0.1, 0.2],[0.3, 0.4],[0.5, 0.6]],[[0.1, 0.2],[0.3, 0.4],[0.5, 0.6]],[[0.1, 0.2],[0.3, 0.4],[0.5, 0.6]],[[0.1, 0.2],[0.3, 0.4],[0.5, 0.6]],[[0.1, 0.2],[0.3, 0.4],[0.5, 0.6]]]) # deps: 2*batch_size*max_len*(recurrent_size-1) deps = tf.convert_to_tensor([[[['$', '$', '$'],['$', '$', '$'],['$', '$', '$']],[['$', '$', '$'],['$', '$', '$'],['$', '$', '$']], [['$', '$', '$'],['$', '$', '$'],['$', '$', '$']],[['$', '$', '$'],['$', '$', '$'],['$', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']]],[[['$', '$', '$'],['$', '$', '$'],['$', '$', '$']],[['$', '$', '$'],['$', '$', '$'],['$', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']],[['$', '$', '$'],['0', '$', '$'],['1', '$', '$']]]]) # edge_types = tf.convert_to_tensor([[[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']]], [[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']],[['0', '$', '$', '$'],['0', '2', '$', '$'],['0', '2', '$', '$']]]]) # edge_types = tf.convert_to_tensor([[[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]]],[[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]],[[0, -1, -1, -1],[0, 2, -1, -1],[0, 2, -1, -1]]]]) # edge_types: 2*batch_size*max_len*recurrent_size edge_types = tf.convert_to_tensor([[[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[1, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[2, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]]], [[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]],[[0, 9, 9, 9],[0, 2, 9, 9],[0, 2, 9, 9]]]]) # mask: batch_size*max_len mask = tf.convert_to_tensor([[1,1,1],[1,1,1],[1,1,1],[1,1,0],[1,1,0],[1,1,0],[1,0,0],[1,0,0]]) # cell_mask: 2*batch_size*max_len*recurrent_size cell_mask = tf.convert_to_tensor([[[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]]],[[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]],[[1, 0, 0, 0],[1, 1, 0, 0],[1, 1, 0, 0]]]]) # initial_state: 2*recurrent_size*batch_size*embedding_dim initial_state = array_ops.zeros([2, 4, 8, 2]) input_lengths = tf.convert_to_tensor([1, 2, 3, 3, 3, 3, 3, 3]) outputs, hidden_f, hidden_b = bi_graph_encoder(inputs, input_lengths, deps, edge_types, mask, cell_mask, initial_state, True) print(outputs) print(hidden_f) print(hidden_b)

197.178571

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1

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b21c7a1509c7bfd68dcac48270c795470f743c73

89

py

Python

recipe_backend/recipes/apps.py

jbernal0019/Recipe_site

30090b521cac84156cf5f05429a12dd5889f8703

[ "MIT" ]

null

recipe_backend/recipes/apps.py

jbernal0019/Recipe_site

30090b521cac84156cf5f05429a12dd5889f8703

[ "MIT" ]

3

2020-02-12T01:22:24.000Z

2021-06-10T21:49:21.000Z

recipe_backend/recipes/apps.py

jbernal0019/Recipe_site

30090b521cac84156cf5f05429a12dd5889f8703

[ "MIT" ]

null

from django.apps import AppConfig class PluginsConfig(AppConfig): name = 'recipes'

14.833333

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0.9

0

0.168539

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0

4

b2268ed3f38975678da47248462c6f15c287a3c3

387

py

Python

sources/boltun/util/collections.py

meiblorn/boltun

d141f555b4f0ed604d8d71883c0bc8811e74370e

[ "MIT" ]

1

2019-12-06T04:19:37.000Z

sources/boltun/util/collections.py

meiblorn/boltun

d141f555b4f0ed604d8d71883c0bc8811e74370e

[ "MIT" ]

null

sources/boltun/util/collections.py

meiblorn/boltun

d141f555b4f0ed604d8d71883c0bc8811e74370e

[ "MIT" ]

null

from __future__ import absolute_import, division, print_function import attr @attr.s class Stack(object): __items = attr.ib(type=list, factory=list) def push(self, item): self.__items.append(item) def pop(self): return self.__items.pop() def peek(self): return self.__items[-1] def is_empty(self): return len(self.__items) == 0

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387

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null

0

1

0

1

0

4

b22e2d62e71b8fbbd1c5658b31e4eb4e56a96389

140

py

Python

secao5/exercicio6.py

robinson-1985/exercicios_python_geek_university

6dfc740472de9ff7c029e26a2ba8f51080e3860b

[ "MIT" ]

null

secao5/exercicio6.py

robinson-1985/exercicios_python_geek_university

6dfc740472de9ff7c029e26a2ba8f51080e3860b

[ "MIT" ]

null

secao5/exercicio6.py

robinson-1985/exercicios_python_geek_university

6dfc740472de9ff7c029e26a2ba8f51080e3860b

[ "MIT" ]

null

'''6. Escreva um programa que, dados dois números inteiros, mostre na tela o maior deles, assim como a diferença existente entre ambos.'''

35

89

0.757143

22

140

4.818182

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140

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90

46.666667

0.897436

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null

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true

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0

null

0

1

0

4

b2362a2c9bbd2b259775e9395541cd8ca6653d97

3,188

py

Python

bokeh/util/terminal.py

kinghows/bokeh

aeb7abc1dbe2b67ce0f4422838a96fb8362c52c7

[ "BSD-3-Clause" ]

1

2018-11-14T19:08:18.000Z

bokeh/util/terminal.py

kinghows/bokeh

aeb7abc1dbe2b67ce0f4422838a96fb8362c52c7

[ "BSD-3-Clause" ]

1

2021-05-09T02:45:17.000Z

bokeh/util/terminal.py

kinghows/bokeh

aeb7abc1dbe2b67ce0f4422838a96fb8362c52c7

[ "BSD-3-Clause" ]

1

2020-06-17T05:47:16.000Z

#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2017, Anaconda, Inc. All rights reserved. # # Powered by the Bokeh Development Team. # # The full license is in the file LICENSE.txt, distributed with this software. #----------------------------------------------------------------------------- ''' Provide utilities for formatting terminal output. ''' #----------------------------------------------------------------------------- # Boilerplate #----------------------------------------------------------------------------- from __future__ import absolute_import, division, print_function, unicode_literals import logging log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports import sys # External imports # Bokeh imports #----------------------------------------------------------------------------- # General API #----------------------------------------------------------------------------- # provide fallbacks for highlights in case colorama is not installed try: import colorama from colorama import Fore, Style def bright(text): return "%s%s%s" % (Style.BRIGHT, text, Style.RESET_ALL) def dim(text): return "%s%s%s" % (Style.DIM, text, Style.RESET_ALL) def red(text): return "%s%s%s" % (Fore.RED, text, Style.RESET_ALL) def green(text): return "%s%s%s" % (Fore.GREEN, text, Style.RESET_ALL) def white(text): return "%s%s%s%s" % (Fore.WHITE, Style.BRIGHT, text, Style.RESET_ALL) def yellow(text): return "%s%s%s" % (Fore.YELLOW, text, Style.RESET_ALL) sys.platform == "win32" and colorama.init() except ImportError: def bright(text): return text def dim(text): return text def red(text): return text def green(text): return text def white(text): return text def yellow(text): return text def trace(*values, **kwargs): pass def write(*values, **kwargs): end = kwargs.get('end', '\n') print(*values, end=end) def fail(msg=None, label="FAIL"): msg = " " + msg if msg is not None else "" write("%s%s" % (red("[%s]" % label), msg)) def info(msg=None, label="INFO"): msg = " " + msg if msg is not None else "" write("%s%s" % (white("[%s]" % label), msg)) def ok(msg=None, label="OK"): msg = " " + msg if msg is not None else "" write("%s%s" % (green("[%s]" % label), msg)) def warn(msg=None, label="WARN"): msg = " " + msg if msg is not None else "" write("%s%s" % (yellow("[%s]" % label), msg)) #----------------------------------------------------------------------------- # Dev API #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Private API #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Code #-----------------------------------------------------------------------------

35.422222

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0.414994

307

3,188

4.254072

0.319218

0.026034

0.01608

0.05513

0.261103

0.205207

0.14242

0.094946

0

0.003658

0.142409

3,188

89

92

35.820225

0.474031

0.466437

0

0.105263

0

0.058894

0

1

0.473684

false

0.026316

0.157895

0.315789

0.631579

0.052632

0

null

0

1

0

null

0

1

0

1

0

4

b237ee0ace32e691329070ad414c8eef66fccd44

175

py

Python

waiguan/layers/modules/__init__.py

heixialeeLeon/SSD

afdc90fafea0c0629bba789f546e3e0ca279f205

[ "MIT" ]

null

waiguan/layers/modules/__init__.py

heixialeeLeon/SSD

afdc90fafea0c0629bba789f546e3e0ca279f205

[ "MIT" ]

null

waiguan/layers/modules/__init__.py

heixialeeLeon/SSD

afdc90fafea0c0629bba789f546e3e0ca279f205

[ "MIT" ]

null

from .l2norm import L2Norm from .multibox_loss import MultiBoxLoss from .multibox_focalloss import MultiBoxFocalLoss __all__ = ['L2Norm', 'MultiBoxLoss', 'MultiBoxFocalLoss']

35

57

0.822857

18

175

7.666667

0.5

0.173913

0

0.018987

0.097143

175

5

57

35

0.85443

0

0.198864

0

1

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false

0

0.75

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0.75

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null

0

1

0

null

0

1

0

1

0

4

b2445103c2858f39d46bd3d45d182776355fdcdc

90

py

Python

grab_screen/__init__.py

andrei-shabanski/grab-screen

758187262156aac85f6736c9b8299187b49e43a5

[ "MIT" ]

9

2017-08-15T03:45:03.000Z

2022-02-21T18:06:32.000Z

grab_screen/__init__.py

andrei-shabanski/grab-screen

758187262156aac85f6736c9b8299187b49e43a5

[ "MIT" ]

211

2017-07-03T15:24:15.000Z

2022-02-21T14:09:36.000Z

grab_screen/__init__.py

andrei-shabanski/grab-screen

758187262156aac85f6736c9b8299187b49e43a5

[ "MIT" ]

4

2017-08-15T03:44:46.000Z

2022-02-03T10:25:20.000Z

from .cli import main from .version import __version__ __all__ = ['__version__', 'main']

18

33

0.744444

11

90

5

0.545455

0

0.144444

90

4

34

22.5

0.714286

0

0.166667

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

b248f043c0feea53fbb2ab2028061229d654718b

693

py

Python

build/beginner_tutorials/cmake/beginner_tutorials-genmsg-context.py

aracelis-git/beginner_tutorials

3bb11e496c414237543e8783dd01b57ef8952bca

[ "Apache-2.0" ]

null

build/beginner_tutorials/cmake/beginner_tutorials-genmsg-context.py

aracelis-git/beginner_tutorials

3bb11e496c414237543e8783dd01b57ef8952bca

[ "Apache-2.0" ]

null

build/beginner_tutorials/cmake/beginner_tutorials-genmsg-context.py

aracelis-git/beginner_tutorials

3bb11e496c414237543e8783dd01b57ef8952bca

[ "Apache-2.0" ]

null

# generated from genmsg/cmake/pkg-genmsg.context.in messages_str = "/home/viki/catkin_ws/src/beginner_tutorials/msg/Num.msg" services_str = "/home/viki/catkin_ws/src/beginner_tutorials/srv/ResetCount.srv;/home/viki/catkin_ws/src/beginner_tutorials/srv/AddTwoInts.srv" pkg_name = "beginner_tutorials" dependencies_str = "std_msgs" langs = "gencpp;genlisp;genpy" dep_include_paths_str = "beginner_tutorials;/home/viki/catkin_ws/src/beginner_tutorials/msg;std_msgs;/opt/ros/indigo/share/std_msgs/cmake/../msg" PYTHON_EXECUTABLE = "/usr/bin/python" package_has_static_sources = '' == 'TRUE' genmsg_check_deps_script = "/opt/ros/indigo/share/genmsg/cmake/../../../lib/genmsg/genmsg_check_deps.py"

57.75

145

0.799423

104

693

5.048077

0.490385

0.194286

0.106667

0.121905

0.308571

0

0.049062

693

11

146

63

0.796662

0.070707

0

1

0.222222

0.683801

0.582555

0

1

0

false

0

null

0

1

null

0

4

b25bc80a13089b17ce70ec72af0643fdd3cdbaca

16,503

py

Python

startracker/beast/beast.py

Oregon-Tech-Rocketry-and-Aerospace/space-debris-card

d72303436b6cb1a409d5217d0518db0b0335d10a

[ "MIT" ]

null

startracker/beast/beast.py

Oregon-Tech-Rocketry-and-Aerospace/space-debris-card

d72303436b6cb1a409d5217d0518db0b0335d10a

[ "MIT" ]

null

startracker/beast/beast.py

Oregon-Tech-Rocketry-and-Aerospace/space-debris-card

d72303436b6cb1a409d5217d0518db0b0335d10a

[ "MIT" ]

null

# This file was automatically generated by SWIG (http://www.swig.org). # Version 4.0.2 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info as _swig_python_version_info if _swig_python_version_info < (2, 7, 0): raise RuntimeError("Python 2.7 or later required") # Import the low-level C/C++ module if __package__ or "." in __name__: from . import _beast else: import _beast try: import builtins as __builtin__ except ImportError: import __builtin__ def _swig_repr(self): try: strthis = "proxy of " + self.this.__repr__() except __builtin__.Exception: strthis = "" return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,) def _swig_setattr_nondynamic_instance_variable(set): def set_instance_attr(self, name, value): if name == "thisown": self.this.own(value) elif name == "this": set(self, name, value) elif hasattr(self, name) and isinstance(getattr(type(self), name), property): set(self, name, value) else: raise AttributeError("You cannot add instance attributes to %s" % self) return set_instance_attr def _swig_setattr_nondynamic_class_variable(set): def set_class_attr(cls, name, value): if hasattr(cls, name) and not isinstance(getattr(cls, name), property): set(cls, name, value) else: raise AttributeError("You cannot add class attributes to %s" % cls) return set_class_attr def _swig_add_metaclass(metaclass): """Class decorator for adding a metaclass to a SWIG wrapped class - a slimmed down version of six.add_metaclass""" def wrapper(cls): return metaclass(cls.__name__, cls.__bases__, cls.__dict__.copy()) return wrapper class _SwigNonDynamicMeta(type): """Meta class to enforce nondynamic attributes (no new attributes) for a class""" __setattr__ = _swig_setattr_nondynamic_class_variable(type.__setattr__) PI = _beast.PI TWOPI = _beast.TWOPI def load_config(filename: "char const *") -> "void": return _beast.load_config(filename) def xyz_hash(x: "float", y: "float", z: "float") -> "size_t": return _beast.xyz_hash(x, y, z) def xyz_hash_mask(radians: "float") -> "size_t": return _beast.xyz_hash_mask(radians) class star(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr x = property(_beast.star_x_get, _beast.star_x_set) y = property(_beast.star_y_get, _beast.star_y_set) z = property(_beast.star_z_get, _beast.star_z_set) flux = property(_beast.star_flux_get, _beast.star_flux_set) id = property(_beast.star_id_get, _beast.star_id_set) px = property(_beast.star_px_get, _beast.star_px_set) py = property(_beast.star_py_get, _beast.star_py_set) unreliable = property(_beast.star_unreliable_get, _beast.star_unreliable_set) star_idx = property(_beast.star_star_idx_get, _beast.star_star_idx_set) sigma_sq = property(_beast.star_sigma_sq_get, _beast.star_sigma_sq_set) hash_val = property(_beast.star_hash_val_get, _beast.star_hash_val_set) def __init__(self, *args): _beast.star_swiginit(self, _beast.new_star(*args)) def __eq__(self, s: "star") -> "bool": return _beast.star___eq__(self, s) def __mul__(self, s: "star") -> "float": return _beast.star___mul__(self, s) def DBG_(self, s: "char const *") -> "void": return _beast.star_DBG_(self, s) __swig_destroy__ = _beast.delete_star # Register star in _beast: _beast.star_swigregister(star) cvar = _beast.cvar def star_gt_x(s1: "star", s2: "star") -> "bool": return _beast.star_gt_x(s1, s2) def star_gt_y(s1: "star", s2: "star") -> "bool": return _beast.star_gt_y(s1, s2) def star_gt_z(s1: "star", s2: "star") -> "bool": return _beast.star_gt_z(s1, s2) def star_gt_flux(s1: "star", s2: "star") -> "bool": return _beast.star_gt_flux(s1, s2) def star_lt_x(s1: "star", s2: "star") -> "bool": return _beast.star_lt_x(s1, s2) def star_lt_y(s1: "star", s2: "star") -> "bool": return _beast.star_lt_y(s1, s2) def star_lt_z(s1: "star", s2: "star") -> "bool": return _beast.star_lt_z(s1, s2) def star_lt_flux(s1: "star", s2: "star") -> "bool": return _beast.star_lt_flux(s1, s2) class star_db(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr max_variance = property(_beast.star_db_max_variance_get, _beast.star_db_max_variance_set) def __init__(self): _beast.star_db_swiginit(self, _beast.new_star_db()) __swig_destroy__ = _beast.delete_star_db def size(self) -> "size_t": return _beast.star_db_size(self) def __iadd__(self, *args) -> "star_db *": return _beast.star_db___iadd__(self, *args) def __sub__(self, s: "star_db") -> "star_db *": return _beast.star_db___sub__(self, s) def __and__(self, s: "star_db") -> "star_db *": return _beast.star_db___and__(self, s) def get_star(self, idx: "int") -> "star *": return _beast.star_db_get_star(self, idx) def copy(self) -> "star_db *": return _beast.star_db_copy(self) def copy_n_brightest(self, n: "size_t") -> "star_db *": return _beast.star_db_copy_n_brightest(self, n) def load_catalog(self, catalog: "char const *", year: "float") -> "void": return _beast.star_db_load_catalog(self, catalog, year) def count(self, *args) -> "size_t": return _beast.star_db_count(self, *args) def DBG_(self, s: "char const *") -> "void": return _beast.star_db_DBG_(self, s) # Register star_db in _beast: _beast.star_db_swigregister(star_db) class star_fov(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr def get_score(self, *args) -> "float": return _beast.star_fov_get_score(self, *args) def get_id(self, px: "float", py: "float") -> "int": return _beast.star_fov_get_id(self, px, py) def __init__(self, s: "star_db", db_max_variance_: "float"): _beast.star_fov_swiginit(self, _beast.new_star_fov(s, db_max_variance_)) __swig_destroy__ = _beast.delete_star_fov # Register star_fov in _beast: _beast.star_fov_swigregister(star_fov) class star_query(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr map = property(_beast.star_query_map_get, _beast.star_query_map_set) map_size = property(_beast.star_query_map_size_get, _beast.star_query_map_size_set) kdresults = property(_beast.star_query_kdresults_get, _beast.star_query_kdresults_set) def __init__(self, s: "star_db"): _beast.star_query_swiginit(self, _beast.new_star_query(s)) __swig_destroy__ = _beast.delete_star_query def is_kdsorted(self) -> "uint8_t": return _beast.star_query_is_kdsorted(self) def kdsort(self) -> "void": return _beast.star_query_kdsort(self) def sort(self) -> "void": return _beast.star_query_sort(self) def r_size(self) -> "size_t": return _beast.star_query_r_size(self) def get_kdmask(self, i: "size_t") -> "int8_t": return _beast.star_query_get_kdmask(self, i) def reset_kdmask(self) -> "void": return _beast.star_query_reset_kdmask(self) def clear_kdresults(self) -> "void": return _beast.star_query_clear_kdresults(self) def kdcheck(self, idx: "int", x: "float", y: "float", z: "float", r: "float", min_flux: "float") -> "void": return _beast.star_query_kdcheck(self, idx, x, y, z, r, min_flux) def kdsearch(self, *args) -> "void": return _beast.star_query_kdsearch(self, *args) def kdsearch_x(self, x: "float const", y: "float const", z: "float const", r: "float const", min_flux: "float", min: "int", max: "int") -> "void": return _beast.star_query_kdsearch_x(self, x, y, z, r, min_flux, min, max) def kdsearch_y(self, x: "float const", y: "float const", z: "float const", r: "float const", min_flux: "float", min: "int", max: "int") -> "void": return _beast.star_query_kdsearch_y(self, x, y, z, r, min_flux, min, max) def kdsearch_z(self, x: "float const", y: "float const", z: "float const", r: "float const", min_flux: "float", min: "int", max: "int") -> "void": return _beast.star_query_kdsearch_z(self, x, y, z, r, min_flux, min, max) def kdmask_filter_catalog(self) -> "void": return _beast.star_query_kdmask_filter_catalog(self) def kdmask_uniform_density(self, min_stars_per_fov: "int") -> "void": return _beast.star_query_kdmask_uniform_density(self, min_stars_per_fov) def from_kdmask(self) -> "star_db *": return _beast.star_query_from_kdmask(self) def from_kdresults(self) -> "star_db *": return _beast.star_query_from_kdresults(self) def DBG_(self, s: "char const *") -> "void": return _beast.star_query_DBG_(self, s) # Register star_query in _beast: _beast.star_query_swigregister(star_query) class constellation(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr p = property(_beast.constellation_p_get, _beast.constellation_p_set) s1 = property(_beast.constellation_s1_get, _beast.constellation_s1_set) s2 = property(_beast.constellation_s2_get, _beast.constellation_s2_set) idx = property(_beast.constellation_idx_get, _beast.constellation_idx_set) def DBG_(self, s: "char const *") -> "void": return _beast.constellation_DBG_(self, s) def __init__(self): _beast.constellation_swiginit(self, _beast.new_constellation()) __swig_destroy__ = _beast.delete_constellation # Register constellation in _beast: _beast.constellation_swigregister(constellation) class constellation_pair(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr totalscore = property(_beast.constellation_pair_totalscore_get, _beast.constellation_pair_totalscore_set) db_s1 = property(_beast.constellation_pair_db_s1_get, _beast.constellation_pair_db_s1_set) db_s2 = property(_beast.constellation_pair_db_s2_get, _beast.constellation_pair_db_s2_set) img_s1 = property(_beast.constellation_pair_img_s1_get, _beast.constellation_pair_img_s1_set) img_s2 = property(_beast.constellation_pair_img_s2_get, _beast.constellation_pair_img_s2_set) def flip(self) -> "void": return _beast.constellation_pair_flip(self) def DBG_(self, s: "char const *") -> "void": return _beast.constellation_pair_DBG_(self, s) def __init__(self): _beast.constellation_pair_swiginit(self, _beast.new_constellation_pair()) __swig_destroy__ = _beast.delete_constellation_pair # Register constellation_pair in _beast: _beast.constellation_pair_swigregister(constellation_pair) class constellation_lt(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr def __call__(self, c1: "constellation", c2: "constellation") -> "bool": return _beast.constellation_lt___call__(self, c1, c2) def __init__(self): _beast.constellation_lt_swiginit(self, _beast.new_constellation_lt()) __swig_destroy__ = _beast.delete_constellation_lt # Register constellation_lt in _beast: _beast.constellation_lt_swigregister(constellation_lt) def constellation_lt_s1(c1: "constellation", c2: "constellation") -> "bool": return _beast.constellation_lt_s1(c1, c2) def constellation_lt_s2(c1: "constellation", c2: "constellation") -> "bool": return _beast.constellation_lt_s2(c1, c2) def constellation_lt_p(c1: "constellation", c2: "constellation") -> "bool": return _beast.constellation_lt_p(c1, c2) class constellation_db(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr stars = property(_beast.constellation_db_stars_get, _beast.constellation_db_stars_set) results = property(_beast.constellation_db_results_get, _beast.constellation_db_results_set) map_size = property(_beast.constellation_db_map_size_get, _beast.constellation_db_map_size_set) map = property(_beast.constellation_db_map_get, _beast.constellation_db_map_set) def __init__(self, s: "star_db", stars_per_fov: "int", from_image: "int"): _beast.constellation_db_swiginit(self, _beast.new_constellation_db(s, stars_per_fov, from_image)) __swig_destroy__ = _beast.delete_constellation_db def DBG_(self, s: "char const *") -> "void": return _beast.constellation_db_DBG_(self, s) # Register constellation_db in _beast: _beast.constellation_db_swigregister(constellation_db) class match_result(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr R11 = property(_beast.match_result_R11_get, _beast.match_result_R11_set) R12 = property(_beast.match_result_R12_get, _beast.match_result_R12_set) R13 = property(_beast.match_result_R13_get, _beast.match_result_R13_set) R21 = property(_beast.match_result_R21_get, _beast.match_result_R21_set) R22 = property(_beast.match_result_R22_get, _beast.match_result_R22_set) R23 = property(_beast.match_result_R23_get, _beast.match_result_R23_set) R31 = property(_beast.match_result_R31_get, _beast.match_result_R31_set) R32 = property(_beast.match_result_R32_get, _beast.match_result_R32_set) R33 = property(_beast.match_result_R33_get, _beast.match_result_R33_set) match = property(_beast.match_result_match_get, _beast.match_result_match_set) dec = property(_beast.match_result_dec_get, _beast.match_result_dec_set) ra = property(_beast.match_result_ra_get, _beast.match_result_ra_set) ori = property(_beast.match_result_ori_get, _beast.match_result_ori_set) def __init__(self, db_: "constellation_db", img_: "constellation_db", img_mask_: "star_fov"): _beast.match_result_swiginit(self, _beast.new_match_result(db_, img_, img_mask_)) __swig_destroy__ = _beast.delete_match_result def size(self) -> "size_t": return _beast.match_result_size(self) def init(self, db_const_: "constellation", img_const_: "constellation") -> "void": return _beast.match_result_init(self, db_const_, img_const_) def copy_over(self, c: "match_result") -> "void": return _beast.match_result_copy_over(self, c) def related(self, m: "constellation_pair") -> "int": return _beast.match_result_related(self, m) def search(self) -> "void": return _beast.match_result_search(self) def clear_search(self) -> "void": return _beast.match_result_clear_search(self) def compute_score(self) -> "void": return _beast.match_result_compute_score(self) def from_match(self) -> "star_db *": return _beast.match_result_from_match(self) def weighted_triad(self) -> "void": return _beast.match_result_weighted_triad(self) def DBG_(self, s: "char const *") -> "void": return _beast.match_result_DBG_(self, s) def calc_ori(self) -> "void": return _beast.match_result_calc_ori(self) def get_dec(self) -> "double": return _beast.match_result_get_dec(self) def get_ra(self) -> "double": return _beast.match_result_get_ra(self) def get_ori(self) -> "double": return _beast.match_result_get_ori(self) # Register match_result in _beast: _beast.match_result_swigregister(match_result) class db_match(object): thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr p_match = property(_beast.db_match_p_match_get, _beast.db_match_p_match_set) winner = property(_beast.db_match_winner_get, _beast.db_match_winner_set) def __init__(self, db: "constellation_db", img: "constellation_db"): _beast.db_match_swiginit(self, _beast.new_db_match(db, img)) __swig_destroy__ = _beast.delete_db_match # Register db_match in _beast: _beast.db_match_swigregister(db_match)

39.57554

150

0.712719

2,392

16,503

4.434783

0.094482

0.066176

0.063348

0.032051

0.479921

0.323812

0.280449

0.241327

0.212481

0.16365

0

0.009763

0.168333

16,503

416

151

39.670673

0.763133

0.044416

0

0.139373

1

0

0.086208

0

1

0.285714

false

0

0.020906

0.229965

0.84669

0

null

0

1

0

null

0

1

0

1

0

4

b261027bb447ffd4f357da57323ee5f92a50b62a

599

py

Python

todoapp/todos/models.py

Buddheshwar-Nath-Keshari/test-ubuntu

5e801ecd21503f160e52c091120a1a0c80c6600d

[ "MIT" ]

null

todoapp/todos/models.py

Buddheshwar-Nath-Keshari/test-ubuntu

5e801ecd21503f160e52c091120a1a0c80c6600d

[ "MIT" ]

null

todoapp/todos/models.py

Buddheshwar-Nath-Keshari/test-ubuntu

5e801ecd21503f160e52c091120a1a0c80c6600d

[ "MIT" ]

null

from __future__ import unicode_literals from django.db import models from django.utils.encoding import smart_text as smart_unicode from django.utils.translation import ugettext_lazy as _ class Todo(models.Model): """ Needed fields - user (fk to User Model - Use AUTH_USER_MODEL from django.conf.settings) - name (max_length=1000) - done (boolean with default been false) - date_created (with default of creation time) - date_completed (set it when done is marked true) Add string representation for this model with todos name. """

31.526316

81

0.707846

82

599

5

0.682927

0.097561

0.073171

0

0.008715

0.233723

599

18

82

33.277778

0.884532

0.517529

0

0.055556

0

1

0

true

0

0.8

0

1

0

null

0

null

0

1

0

1

0

1

0

1

0

4

b2743a4c76c53ef106ccb49cbbfbe8057b1bd708

2,136

py

Python

input/utils/chi-squared-contingency-tests.py

g-p-m/GPM

00aa3ea664e14b99eedd6cbeabbc2b85edf2b208

[ "BSD-3-Clause" ]

null

input/utils/chi-squared-contingency-tests.py

g-p-m/GPM

00aa3ea664e14b99eedd6cbeabbc2b85edf2b208

[ "BSD-3-Clause" ]

null

input/utils/chi-squared-contingency-tests.py

g-p-m/GPM

00aa3ea664e14b99eedd6cbeabbc2b85edf2b208

[ "BSD-3-Clause" ]

null

import numpy, scipy.stats T1 = numpy.asarray([ [ 316, 378, 393, 355, 391, 371, 400, 397, 385, 371, 382, 371, ], [ 336, 339, 322, 341, 314, 311, 339, 310, 331, 355, 316, 306, ], [ 375, 364, 375, 381, 381, 401, 374, 396, 422, 417, 372, 435, ], [ 238, 231, 263, 268, 239, 259, 243, 206, 257, 228, 252, 203, ]]) T2 = numpy.asarray([ [ 378, 415, 389, 383, 369, 382, 382, 340, 359, 377, 372, 364, ], [ 312, 326, 356, 319, 294, 325, 345, 315, 326, 324, 346, 332, ], [ 368, 382, 384, 401, 367, 399, 417, 397, 387, 408, 415, 368, ], [ 246, 226, 264, 242, 229, 237, 227, 233, 251, 244, 262, 226, ]]) T3 = numpy.asarray([ [ 331, 409, 409, 392, 364, 336, 317, 345, 351, 414, 406, 436, ], [ 351, 355, 313, 328, 296, 291, 312, 320, 339, 307, 339, 369, ], [ 407, 416, 400, 363, 355, 350, 380, 388, 386, 391, 436, 421, ], [ 297, 270, 231, 236, 206, 243, 217, 222, 229, 246, 244, 246, ]]) print(scipy.stats.chi2_contingency(T1)[1]) # Pyswisseph print(scipy.stats.chi2_contingency(T2)[1]) print(scipy.stats.chi2_contingency(T3)[1]) print() T1 = numpy.asarray([ [ 316, 378, 393, 355, 391, 371, 400, 397, 385, 371, 382, 371, ], [ 336, 338, 323, 341, 314, 311, 339, 310, 331, 355, 316, 306, ], [ 375, 364, 375, 381, 381, 401, 374, 396, 422, 417, 372, 435, ], [ 238, 231, 263, 268, 239, 259, 243, 206, 257, 228, 252, 203, ]]) T2 = numpy.asarray([ [ 378, 415, 389, 383, 369, 382, 382, 340, 359, 377, 372, 364, ], [ 312, 326, 356, 319, 294, 325, 345, 315, 326, 324, 346, 332, ], [ 368, 382, 384, 401, 367, 399, 417, 397, 387, 409, 414, 368, ], [ 246, 226, 264, 242, 229, 237, 227, 234, 250, 244, 262, 226, ]]) T3 = numpy.asarray([ [ 331, 411, 406, 393, 364, 333, 322, 344, 350, 413, 408, 435, ], [ 352, 355, 313, 331, 291, 293, 314, 318, 339, 308, 338, 368, ], [ 406, 416, 400, 364, 356, 348, 380, 392, 383, 390, 437, 421, ], [ 296, 270, 231, 238, 202, 245, 217, 222, 229, 247, 244, 246, ]]) print(scipy.stats.chi2_contingency(T1)[1]) # Ephem print(scipy.stats.chi2_contingency(T2)[1]) print(scipy.stats.chi2_contingency(T3)[1])

46.434783

65

0.558521

355

2,136

3.343662

0.377465

0.058972

0.075821

0.09604

0.707666

0.663858

0.62342

0.557709

0

0.542456

0.233614

2,136

45

66

47.466667

0.182651

0.007491

0

0.578947

0

1

0

false

0

0.026316

0

0.026316

0.184211

0

null

0

1

0

1

0

1

0

null

0

4

b284e34183349b94655f2ba4c0ad549e6e0f8f3f

273

py

Python

dsfaker/generators/str.py

pajachiet/dsfaker

0e65ba336608c2ccc5e32a541f3b66dfad019b35

[ "MIT" ]

3

2017-03-12T22:08:59.000Z

2017-05-22T16:57:17.000Z

dsfaker/generators/str.py

pajachiet/dsfaker

0e65ba336608c2ccc5e32a541f3b66dfad019b35

[ "MIT" ]

12

2017-03-01T10:14:08.000Z

2017-04-23T12:15:10.000Z

dsfaker/generators/str.py

pajachiet/dsfaker

0e65ba336608c2ccc5e32a541f3b66dfad019b35

[ "MIT" ]

2

2017-05-04T15:36:21.000Z

2018-02-07T13:49:13.000Z

from random import Random from rstr import Rstr from . import Generator class Regex(Generator): def __init__(self, regex, seed=None): self.gen = Rstr(Random(seed)) self.regex = regex def get_single(self): return self.gen.xeger(self.regex)

22.75

41

0.677656

38

273

4.736842

0.447368

0.15

0

0.227106

273

11

42

24.818182

0.853081

0

1

0.222222

false

0

0.333333

0.111111

0.777778

0

null

0

null

0

1

0

1

0

4

a231a6c5e1e9bfd374c54640c8a12d24c01e3857

93

py

Python

lattedb/linksmear/apps.py

callat-qcd/lattedb

75c06748f3d59332a84ec1b5794c215c5974a46f

[ "BSD-3-Clause" ]

1

2019-12-11T02:33:23.000Z

lattedb/linksmear/apps.py

callat-qcd/lattedb

75c06748f3d59332a84ec1b5794c215c5974a46f

[ "BSD-3-Clause" ]

10

2020-01-29T17:06:01.000Z

2021-05-31T14:41:19.000Z

lattedb/linksmear/apps.py

callat-qcd/lattedb

75c06748f3d59332a84ec1b5794c215c5974a46f

[ "BSD-3-Clause" ]

null

from django.apps import AppConfig class LinkSmearConfig(AppConfig): name = "linksmear"

15.5

33

0.763441

10

93

7.1

0.9

0

0.16129

93

5

34

18.6

0.910256

0

0.096774

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a246d1c2c2b92da01d8058201ebb138463ac4efe

105

py

Python

tests/pyxl_original/test_eof.py

adrienbrunet/mixt

d725ec752ce430d135e993bc988bfdf2b8457c4b

[ "MIT" ]

27

2018-06-04T19:11:42.000Z

2022-02-23T22:46:39.000Z

tests/pyxl_original/test_eof.py

adrienbrunet/mixt

d725ec752ce430d135e993bc988bfdf2b8457c4b

[ "MIT" ]

7

2018-06-09T15:27:51.000Z

2021-03-11T20:00:35.000Z

tests/pyxl_original/test_eof.py

adrienbrunet/mixt

d725ec752ce430d135e993bc988bfdf2b8457c4b

[ "MIT" ]

3

2018-07-29T10:20:02.000Z

2021-11-18T19:55:07.000Z

# coding: mixt from mixt import html def test(): assert str(<Fragment>'''</Fragment>) == """'''"""

15

53

0.571429

12

105

5

0.833333

0

0.180952

105

6

54

17.5

0.697674

0

0.208791

0

0.333333

0

null

0

0.333333

null

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a24a44290243b8973c58ac83bd9c32d62a1b7331

194

py

Python

contact/views.py

rsHalford/xhalford-django

970875bbcd23782af15f24361ec3bbda0230ee81

[ "MIT" ]

2

2020-11-02T22:04:01.000Z

2020-11-14T14:45:45.000Z

contact/views.py

rsHalford/xhalford-django

970875bbcd23782af15f24361ec3bbda0230ee81

[ "MIT" ]

null

contact/views.py

rsHalford/xhalford-django

970875bbcd23782af15f24361ec3bbda0230ee81

[ "MIT" ]

null

from django.shortcuts import render from django.views.generic import ListView from contact.models import Profile class Contact(ListView): model = Profile template_name = "contact.html"

24.25

41

0.78866

25

194

6.08

0.64

0.131579

0

0.149485

194

7

42

27.714286

0.921212

0

0.061856

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a2513b451ec5004528a7e01bf0d9f3485e85254c

64

py

Python

integraph/core/__init__.py

nleguillarme/inteGraph

65faae4b7c16977094c387f6359980a4e99f94cb

[ "Apache-2.0" ]

null

integraph/core/__init__.py

nleguillarme/inteGraph

65faae4b7c16977094c387f6359980a4e99f94cb

[ "Apache-2.0" ]

null

integraph/core/__init__.py

nleguillarme/inteGraph

65faae4b7c16977094c387f6359980a4e99f94cb

[ "Apache-2.0" ]

null

from .taxid import TaxId from .uri import URIManager, URIMapper

21.333333

38

0.8125

9

64

5.777778

0.666667

0

0.140625

64

2

39

32

0.945455

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a26076e09d7b45380034f14f9bab4f75147d9786

86

py

Python

run.py

tdavislab/mapper-stitching

09cb6949cea57ebece640b58ef5c449fb177db38

[ "MIT" ]

10

2019-06-12T01:18:44.000Z

2021-12-19T16:12:08.000Z

run.py

tdavislab/mapper-stitching

09cb6949cea57ebece640b58ef5c449fb177db38

[ "MIT" ]

7

2019-03-20T23:47:49.000Z

2019-04-10T19:23:41.000Z

run.py

tdavislab/mapper-stitching

09cb6949cea57ebece640b58ef5c449fb177db38

[ "MIT" ]

3

2020-10-16T04:30:09.000Z

2021-03-16T18:45:33.000Z

#!flask/bin/python from app import app app.run(host='127.0.0.1',port=8080,debug=True)

21.5

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null

0

1

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1

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4

a28511d4313faddcec24e963d4aea4b50f61ce85

135

py

Python

sopy/admin/__init__.py

AlexFrazer/sopython-site

4ede64cf6d04def596be13feeaa4d84ce8503ef3

[ "BSD-3-Clause" ]

81

2015-02-17T17:07:27.000Z

2021-08-15T17:46:13.000Z

sopy/admin/__init__.py

AlexFrazer/sopython-site

4ede64cf6d04def596be13feeaa4d84ce8503ef3

[ "BSD-3-Clause" ]

81

2015-02-17T17:04:16.000Z

2021-02-21T03:52:55.000Z

sopy/admin/__init__.py

AlexFrazer/sopython-site

4ede64cf6d04def596be13feeaa4d84ce8503ef3

[ "BSD-3-Clause" ]

29

2015-01-18T18:28:06.000Z

2022-02-05T03:11:04.000Z

from flask import Blueprint bp = Blueprint('admin', __name__) @bp.record_once def register(state): from sopy.admin import views

15

33

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135

5.052632

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34

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null

0

1

0

1

0

4

a28a52e59294caa6c7f0ce984c5ca19e80db8e8f

152

py

Python

block/admin.py

amirkh75/user_block_chain

f9bdba11c1d8b724787151480cd52155ad8718e4

[ "MIT" ]

null

block/admin.py

amirkh75/user_block_chain

f9bdba11c1d8b724787151480cd52155ad8718e4

[ "MIT" ]

null

block/admin.py

amirkh75/user_block_chain

f9bdba11c1d8b724787151480cd52155ad8718e4

[ "MIT" ]

null

from django.contrib import admin from .models import Block @admin.register(Block) class ActionAdmin(admin.ModelAdmin): list_filter = ('created',)

19

36

0.763158

19

152

6.052632

0.736842

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null

0

1

0

null

0

1

0

1

0

4

a2cf483b7a318378a4b51126b7de177267f4c55e

23

py

Python

auto_ml/_version.py

amlanbanerjee/auto_ml

db8e1d2cfa93f13a21e55739acfc8d99837e91b0

[ "MIT" ]

1,671

2016-08-09T04:44:48.000Z

2022-03-27T01:29:23.000Z

auto_ml/_version.py

amlanbanerjee/auto_ml

db8e1d2cfa93f13a21e55739acfc8d99837e91b0

[ "MIT" ]

428

2016-08-08T00:13:04.000Z

2022-01-19T10:09:05.000Z

auto_ml/_version.py

amlanbanerjee/auto_ml

db8e1d2cfa93f13a21e55739acfc8d99837e91b0

[ "MIT" ]

334

2016-08-29T12:34:18.000Z

2022-01-31T09:14:30.000Z

__version__ = "2.9.10"

11.5

22

0.652174

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23

2.75

1

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0.2

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23

1

23

0.35

0

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false

0

1

0

null

0

1

0

1

0

null

0

4

a2ebe5b887b32f0561c68f37282697177b6753ec

3,880

py

Python

deep-rl/lib/python2.7/site-packages/OpenGL/GL/ATI/text_fragment_shader.py

ShujaKhalid/deep-rl

99c6ba6c3095d1bfdab81bd01395ced96bddd611

[ "MIT" ]

210

2016-04-09T14:26:00.000Z

2022-03-25T18:36:19.000Z

deep-rl/lib/python2.7/site-packages/OpenGL/GL/ATI/text_fragment_shader.py

ShujaKhalid/deep-rl

99c6ba6c3095d1bfdab81bd01395ced96bddd611

[ "MIT" ]

72

2016-09-04T09:30:19.000Z

2022-03-27T17:06:53.000Z

deep-rl/lib/python2.7/site-packages/OpenGL/GL/ATI/text_fragment_shader.py

ShujaKhalid/deep-rl

99c6ba6c3095d1bfdab81bd01395ced96bddd611

[ "MIT" ]

64

2016-04-09T14:26:49.000Z

2022-03-21T11:19:47.000Z

'''OpenGL extension ATI.text_fragment_shader This module customises the behaviour of the OpenGL.raw.GL.ATI.text_fragment_shader to provide a more Python-friendly API Overview (from the spec) The ATI_fragment_shader extension exposes a powerful fragment processing model that provides a very general means of expressing fragment color blending and dependent texture address modification. The processing is termed a fragment shader or fragment program and is specifed using a register-based model in which there are fixed numbers of instructions, texture lookups, read/write registers, and constants. ATI_fragment_shader provides a unified instruction set for operating on address or color data and eliminates the distinction between the two. That extension provides all the interfaces necessary to fully expose this programmable fragment processor in GL. ATI_text_fragment_shader is a redefinition of the ATI_fragment_shader functionality, using a slightly different interface. The intent of creating ATI_text_fragment_shader is to take a step towards treating fragment programs similar to other programmable parts of the GL rendering pipeline, specifically vertex programs. This new interface is intended to appear similar to the ARB_vertex_program API, within the limits of the feature set exposed by the original ATI_fragment_shader extension. The most significant differences between the two extensions are: (1) ATI_fragment_shader provides a procedural function call interface to specify the fragment program, whereas ATI_text_fragment_shader uses a textual string to specify the program. The fundamental syntax and constructs of the program "language" remain the same. (2) The program object managment portions of the interface, namely the routines used to create, bind, and delete program objects and set program constants are managed using the framework defined by ARB_vertex_program. (3) ATI_fragment_shader refers to the description of the programmable fragment processing as a "fragment shader". In keeping with the desire to treat all programmable parts of the pipeline consistently, ATI_text_fragment_shader refers to these as "fragment programs". The name of the extension is left as ATI_text_fragment_shader instead of ATI_text_fragment_program in order to indicate the underlying similarity between the API's of the two extensions, and to differentiate it from any other potential extensions that may be able to move even further in the direction of treating fragment programs as just another programmable area of the GL pipeline. Although ATI_fragment_shader was originally conceived as a device-independent extension that would expose the capabilities of future generations of hardware, changing trends in programmable hardware have affected the lifespan of this extension. For this reason you will now find a fixed set of features and resources exposed, and the queries to determine this set have been deprecated in ATI_fragment_shader. Further, in ATI_text_fragment_shader, most of these resource limits are fixed by the text grammar and the queries have been removed altogether. The official definition of this extension is available here: http://www.opengl.org/registry/specs/ATI/text_fragment_shader.txt ''' from OpenGL import platform, constant, arrays from OpenGL import extensions, wrapper import ctypes from OpenGL.raw.GL import _types, _glgets from OpenGL.raw.GL.ATI.text_fragment_shader import * from OpenGL.raw.GL.ATI.text_fragment_shader import _EXTENSION_NAME def glInitTextFragmentShaderATI(): '''Return boolean indicating whether this extension is available''' from OpenGL import extensions return extensions.hasGLExtension( _EXTENSION_NAME ) ### END AUTOGENERATED SECTION

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0

1

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4

0c3043c88aed8f6a40aafefe3d1e9548537a28e3

1,324

py

Python

management/api/v1/serializers.py

bwksoftware/cypetulip

4ea5c56d2d48a311220e144d094280a275109316

[ "MIT" ]

3

2019-08-03T12:00:22.000Z

2020-02-02T08:37:09.000Z

management/api/v1/serializers.py

basetwode/cypetulip

d6be294a288706c5661afb433215fe6c3ffea92b

[ "MIT" ]

47

2019-08-03T16:17:41.000Z

2022-03-11T23:15:48.000Z

management/api/v1/serializers.py

basetwode/cypetulip

d6be294a288706c5661afb433215fe6c3ffea92b

[ "MIT" ]

null

from rest_framework import serializers from management.models.main import MailSetting, LdapSetting, ShopSetting, LegalSetting, Header, CacheSetting, Footer class MailSettingSerializer(serializers.ModelSerializer): id = serializers.ReadOnlyField() class Meta: model = MailSetting fields = '__all__' class LdapSettingSerializer(serializers.ModelSerializer): id = serializers.ReadOnlyField() class Meta: model = LdapSetting fields = '__all__' class ShopSettingSerializer(serializers.ModelSerializer): id = serializers.ReadOnlyField() class Meta: model = ShopSetting fields = '__all__' class LegalSettingSerializer(serializers.ModelSerializer): id = serializers.ReadOnlyField() class Meta: model = LegalSetting fields = '__all__' class HeaderSerializer(serializers.ModelSerializer): id = serializers.ReadOnlyField() class Meta: model = Header fields = '__all__' class FooterSerializer(serializers.ModelSerializer): id = serializers.ReadOnlyField() class Meta: model = Footer fields = '__all__' class CacheSettingSerializer(serializers.ModelSerializer): id = serializers.ReadOnlyField() class Meta: model = CacheSetting fields = '__all__'

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8.342593

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1,324

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false

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0.621622

0

null

1

0

null

0

1

0

4

0c39dce08e2639d2b8e9721a52545154b1694858

196

py

Python

src/frr/tests/lib/test_nexthop_iter.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

src/frr/tests/lib/test_nexthop_iter.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

src/frr/tests/lib/test_nexthop_iter.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

import frrtest class TestNexthopIter(frrtest.TestMultiOut): program = "./test_nexthop_iter" TestNexthopIter.onesimple("Simple test passed.") TestNexthopIter.onesimple("PRNG test passed.")

19.6

48

0.785714

20

196

7.6

0.65

0.315789

0

0.107143

196

9

49

21.777778

0.868571

0

0.280612

0

1

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false

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0

null

1

0

1

0

null

0

1

0

4

0c486c53d8fb3bd729143cb46efffc314acc492f

23

py

Python

Aulas/aula20/src/bb_circular.py

alexNeto/data-struct

f54917247a4e75ffe15783b0a025185d2215309a

[ "BSD-2-Clause" ]

5

2017-08-25T19:24:47.000Z

2020-01-19T15:52:02.000Z

Aulas/aula20/src/bb_circular.py

alexNeto/data-struct

f54917247a4e75ffe15783b0a025185d2215309a

[ "BSD-2-Clause" ]

null

Aulas/aula20/src/bb_circular.py

alexNeto/data-struct

f54917247a4e75ffe15783b0a025185d2215309a

[ "BSD-2-Clause" ]

5

2017-09-25T14:49:43.000Z

2019-11-27T00:05:56.000Z

class Circular():

11.5

18

0.565217

2

23

6.5

1

0

0.304348

23

2

19

11.5

0.8125

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

0c51490cf6a9e00d3f171f44d583a875d050c2af

244

py

Python

store/admin.py

salemzii/ChopFast

95ea88387ecfdb56bd643970b69425b1a1c6f388

[ "MIT" ]

null

store/admin.py

salemzii/ChopFast

95ea88387ecfdb56bd643970b69425b1a1c6f388

[ "MIT" ]

null

store/admin.py

salemzii/ChopFast

95ea88387ecfdb56bd643970b69425b1a1c6f388

[ "MIT" ]

null

from django.contrib import admin from .models import (Dish, Payments, Order, Delivery, OrderItem) admin.site.register(Dish) admin.site.register(Payments) admin.site.register(Order) admin.site.register(Delivery) admin.site.register(OrderItem)

24.4

64

0.807377

33

244

5.969697

0.393939

0.228426

0.431472

0

0.077869

244

9

65

27.111111

0.875556

0

1

0

true

0

0.285714

0

0.285714

0

null

1

0

1

0

null

0

1

0

4

0c53db086eb0eb7f6a00e60d3b14eacbfe7ba92e

97

py

Python

instaphotos/apps.py

LekamCharity/insta-IG

0302440df3b2029297af54eb9c56090f82232973

[ "MIT" ]

null

instaphotos/apps.py

LekamCharity/insta-IG

0302440df3b2029297af54eb9c56090f82232973

[ "MIT" ]

null

instaphotos/apps.py

LekamCharity/insta-IG

0302440df3b2029297af54eb9c56090f82232973

[ "MIT" ]

null

from django.apps import AppConfig class InstaphotosConfig(AppConfig): name = 'instaphotos'

16.166667

35

0.773196

10

97

7.5

0.9

0

0.154639

97

5

36

19.4

0.914634

0

0.113402

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a7574a31d3793e68486c1afc1807fc0afcd14ce5

6,594

py

Python

project/apps/CI-producer/app/producers_test.py

Monxun/PortainerPractice

a3be077efe5c5eb2aa27b6a2fcf626989bdbbbe4

[ "MIT" ]

null

project/apps/CI-producer/app/producers_test.py

Monxun/PortainerPractice

a3be077efe5c5eb2aa27b6a2fcf626989bdbbbe4

[ "MIT" ]

1

2022-03-02T22:54:36.000Z

project/apps/CI-producer/app/producers_test.py

Monxun/PortainerPractice

a3be077efe5c5eb2aa27b6a2fcf626989bdbbbe4

[ "MIT" ]

null

from os import strerror import os import pytest import datetime import sqlalchemy from sqlalchemy import inspect from sqlalchemy import select from sqlalchemy.orm import session from sqlalchemy.sql.expression import func ################################################# # DATABASE CONNECTOR user = 'user' password = 'root' host = 'localhost' port = 3306 name = 'alinedb' engine = sqlalchemy.create_engine( f'mysql+pymysql://{user}:{password}@{host}:{port}/{name}', echo=True ) inspector = inspect(engine) for table_name in inspector.get_table_names(): print(table_name) Session = session.sessionmaker() Session.configure(bind=engine) my_session = Session() ################################################# # TEST ''' Module to test producers ''' from models import ( Applicant, Bank, Merchant, Application, Branch, Member, Account, User, OneTimePasscode, Transaction, UserRegistrationToken ) def test_create_applicants() -> None: test_object = my_session.query(Applicant).first() assert isinstance(test_object.id, int) assert isinstance(test_object.address, str) assert isinstance(test_object.city, str) assert isinstance(test_object.created_at, datetime.datetime) assert isinstance(test_object.date_of_birth, datetime.date) assert isinstance(test_object.drivers_license, str) assert isinstance(test_object.email, str) assert isinstance(test_object.first_name, str) assert isinstance(test_object.gender, str) assert isinstance(test_object.income, int) assert isinstance(test_object.last_modified_at_at, datetime.datetime) assert isinstance(test_object.last_name, str) assert isinstance(test_object.mailing_address, str) assert isinstance(test_object.mailing_city, str) assert isinstance(test_object.mailing_state, str) assert isinstance(test_object.mailing_zipcode, str) assert isinstance(test_object.middle_name, str) assert isinstance(test_object.phone, str) assert isinstance(test_object.social_security, str) assert isinstance(test_object.state, str) assert isinstance(test_object.zipcode, str) def test_create_banks() -> None: test_object = my_session.query(Bank).first() assert isinstance(test_object.id, int) assert isinstance(test_object.address, str) assert isinstance(test_object.city, str) assert isinstance(test_object.routing_number, str) assert isinstance(test_object.state, str) assert isinstance(test_object.zipcode, str) def test_create_merchants() -> None: test_object = my_session.query(Merchant).first() assert isinstance(test_object.code, str) assert isinstance(test_object.address, str) assert isinstance(test_object.city, str) assert isinstance(test_object.description, str) assert isinstance(test_object.name, str) assert isinstance(test_object.registered_at, datetime.datetime) assert isinstance(test_object.state, str) assert isinstance(test_object.zipcode, str) def test_create_applications() -> None: test_object = my_session.query(Application).first() assert isinstance(test_object.id, int) assert isinstance(test_object.application_status, str) assert isinstance(test_object.application_type, str) assert isinstance(test_object.primary_applicant_id, int) def test_create_branches() -> None: test_object = my_session.query(Branch).first() assert isinstance(test_object.id, int) assert isinstance(test_object.address, str) assert isinstance(test_object.city, str) assert isinstance(test_object.name, str) assert isinstance(test_object.phone, str) assert isinstance(test_object.state, str) assert isinstance(test_object.zipcode, str) assert isinstance(test_object.bank_id, int) def test_create_members() -> None: test_object = my_session.query(Member).first() assert isinstance(test_object.id, int) assert isinstance(test_object.membership_id, str) assert isinstance(test_object.applicant_id, int) assert isinstance(test_object.branch_id, int) def test_create_accounts() -> None: test_object = my_session.query(Account).first() assert isinstance(test_object.account_type, str) assert isinstance(test_object.id, int) assert isinstance(test_object.account_number, str) assert isinstance(test_object.balance, int) assert isinstance(test_object.status, str) assert isinstance(test_object.available_balance, int) assert isinstance(test_object.apy, float) assert isinstance(test_object.primary_account_holder_id, int) def test_create_users() -> None: test_object = my_session.query(User).first() assert isinstance(test_object.role, str) assert isinstance(test_object.id, int) assert isinstance(test_object.enabled, int) assert isinstance(test_object.password, str) assert isinstance(test_object.username, str) assert isinstance(test_object.email, str) assert isinstance(test_object.first_name, str) assert isinstance(test_object.last_name, str) assert isinstance(test_object.phone, str) assert isinstance(test_object.member_id, int) def test_create_one_time_passcodes() -> None: test_object = my_session.query(OneTimePasscode).first() assert isinstance(test_object.id, int) assert isinstance(test_object.checked, int) assert isinstance(test_object.otp, str) assert isinstance(test_object.user_id, int) def test_create_transactions() -> None: test_object = my_session.query(Transaction).first() assert isinstance(test_object.id, int) assert isinstance(test_object.amount, int) assert isinstance(test_object.date, datetime.datetime) assert isinstance(test_object.description, str) assert isinstance(test_object.initial_balance, int) assert isinstance(test_object.last_modified, datetime.date) assert isinstance(test_object.method, str) assert isinstance(test_object.posted_balance, int) assert isinstance(test_object.state, str) assert isinstance(test_object.status, str) assert isinstance(test_object.type, str) assert isinstance(test_object.account_id, int) assert isinstance(test_object.merchant_code, str) def test_create_user_registration_tokens() -> None: test_object = my_session.query(UserRegistrationToken).first() assert isinstance(test_object.token, str) assert isinstance(test_object.created, datetime.datetime) assert isinstance(test_object.expiration_delay, int) assert isinstance(test_object.user_id, int)

30.957746

74

0.746588

825

6,594

5.741818

0.156364

0.213215

0.379987

0.493984

0.766519

0.654634

0.454296

0.40532

0

0.000714

0.15044

6,594

212

75

31.103774

0.844877

0.003488

0

0.288591

0

0.012117

0.008389

0

0.604027

1

0.073826

false

0.040268

0.067114

0

0.14094

0.006711

0

null

1

0

null

0

1

0

4

a75f0071595f1cf5e30f78a377181f6b55570f76

61

py

Python

core/models/__init__.py

Bhaskers-Blu-Org1/bLVNet-TAM

feadcd3a1a25723dc28bed867580032181e824a3

[ "Apache-2.0" ]

62

2019-10-22T14:52:30.000Z

2021-07-27T12:07:38.000Z

core/models/__init__.py

Bhaskers-Blu-Org1/bLVNet-TAM

feadcd3a1a25723dc28bed867580032181e824a3

[ "Apache-2.0" ]

6

2019-12-16T06:03:42.000Z

2020-08-31T07:59:04.000Z

core/models/__init__.py

IBM/bLVNet-TAM

feadcd3a1a25723dc28bed867580032181e824a3

[ "Apache-2.0" ]

16

2019-11-02T06:49:19.000Z

2021-12-30T14:51:48.000Z

from .blvnet_tam import bLVNet_TAM __all__ = ['bLVNet_TAM']

15.25

34

0.770492

9

61

4.444444

0.555556

0.675

0

0.131148

61

4

35

15.25

0.754717

0

0.163934

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

a76eab46ba07f0fb8885169ad3e849032ee2d76c

81

py

Python

tests/conf.py

xncbf/django-dynamodb-cache

be6d1b4b8e92d581041043bcd694f2a9f00ee386

[ "MIT" ]

21

2022-02-16T10:18:24.000Z

2022-03-31T23:40:06.000Z

tests/conf.py

xncbf/django-dynamodb-cache

be6d1b4b8e92d581041043bcd694f2a9f00ee386

[ "MIT" ]

9

2022-03-01T06:40:59.000Z

2022-03-26T08:12:31.000Z

tests/conf.py

xncbf/django-dynamodb-cache

be6d1b4b8e92d581041043bcd694f2a9f00ee386

[ "MIT" ]

null

from random import random TABLE_NAME = f"test-django-dynamodb-cache-{random()}"

20.25

53

0.765432

12

81

5.083333

0.833333

0

0.098765

81

3

54

27

0.835616

0

0.45679

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

null

0

1

0

4

a7857bc199ab6450358c23073cebf9f0bd31bb0d

352

py

Python

rules_default/castervoice/lib/ctrl/mgr/grammar_container/base_grammar_container.py

MLH-Fellowship/LarynxCode

840fee18c689a357052825607c27fc8e3e56571c

[ "MIT" ]

1

2021-09-17T06:11:02.000Z

rules_default/castervoice/lib/ctrl/mgr/grammar_container/base_grammar_container.py

soma2000-lang/LarynxCode

840fee18c689a357052825607c27fc8e3e56571c

[ "MIT" ]

5

2021-02-03T05:29:41.000Z

2021-02-08T01:14:11.000Z

rules_default/castervoice/lib/ctrl/mgr/grammar_container/base_grammar_container.py

soma2000-lang/LarynxCode

840fee18c689a357052825607c27fc8e3e56571c

[ "MIT" ]

4

2021-02-03T05:05:00.000Z

2021-07-14T06:21:10.000Z

from castervoice.lib.ctrl.mgr.errors.base_class_error import DontUseBaseClassError class BaseGrammarContainer(object): def set_non_ccr(self, rcn, grammar): raise DontUseBaseClassError(self) def set_ccr(self, ccr_grammars): raise DontUseBaseClassError(self) def wipe_ccr(self): raise DontUseBaseClassError(self)

25.142857

82

0.75

40

352

6.425

0.575

0.081712

0.350195

0.256809

0

0.176136

352

13

83

27.076923

0.886207

0

0.375

0

1

0.375

false

0

0.125

0

0.625

0

null

0

1

0

null

0

1

0

1

0

4

a7b4c6f5823d6451d0e2b584c552a30bc5d41136

191

py

Python

portal/template.py

SlapBass/nx-portal

ee262079db1e5230a24ebbc205e44926f11f8da9

[ "Apache-2.0" ]

5

2019-10-04T04:46:44.000Z

2019-10-09T10:02:01.000Z

portal/template.py

SlapBass/nx-portal

ee262079db1e5230a24ebbc205e44926f11f8da9

[ "Apache-2.0" ]

9

2019-10-06T07:15:09.000Z

2020-09-24T02:19:40.000Z

portal/template.py

SlapBass/nx-portal

ee262079db1e5230a24ebbc205e44926f11f8da9

[ "Apache-2.0" ]

1

2020-06-19T13:26:08.000Z

from django.conf import settings def shared_view_contexts(request): return { 'APP_NAME': settings.APPLICATION_NAME, 'SEASONABLE_EMOJI': settings.SEASONABLE_EMOJI, }

21.222222

54

0.712042

21

191

6.190476

0.761905

0.230769

0

0.204188

191

8

55

23.875

0.855263

0

0.125654

0

1

0.166667

false

0

0.166667

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

ac0aebc29b01daccd8a1302b366f51ee3eb40958

190

py

Python

intered/bin/django-admin.py

allenallen/interedregistration

d6b93bfc33d7bb9bfbabdcdb27b685f3a6be3ea9

[ "MIT" ]

null

intered/bin/django-admin.py

allenallen/interedregistration

d6b93bfc33d7bb9bfbabdcdb27b685f3a6be3ea9

[ "MIT" ]

6

2020-02-11T23:05:13.000Z

2021-06-10T20:43:51.000Z

intered/bin/django-admin.py

allenallen/interedregistration

d6b93bfc33d7bb9bfbabdcdb27b685f3a6be3ea9

[ "MIT" ]

null

#!/home/allen/Documents/TamarawTechProjects/interedregistration/intered/bin/python3 from django.core import management if __name__ == "__main__": management.execute_from_command_line()

31.666667

83

0.821053

21

190

6.904762

0.904762

0

0.005714

0.078947

190

5

84

38

0.822857

0.431579

0

0.074766

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ac1910c0faa98f5af77a97256be74c749f17725a

279

py

Python

DeepRTS/__init__.py

cair/deep-rts

7aa5dde0c5df10ae3a3d057e7b89641aec58e115

[ "MIT" ]

144

2018-07-13T07:47:50.000Z

2022-03-31T06:29:50.000Z

DeepRTS/__init__.py

cair/DeepRTS

2ea4de0993ea0ca2677fdb36a172779db4ce7868

[ "MIT" ]

18

2019-03-29T10:37:01.000Z

2022-03-02T12:47:34.000Z

DeepRTS/__init__.py

cair/DeepRTS

2ea4de0993ea0ca2677fdb36a172779db4ce7868

[ "MIT" ]

23

2018-11-02T18:12:51.000Z

2022-02-15T20:32:18.000Z

try: from DeepRTS import Engine except ImportError: import Engine try: from DeepRTS.Engine import Map, UnitManager, Constants, Player from DeepRTS.Engine import Constants except ImportError: from Engine import Map, UnitManager, Constants, Player, Constants

23.25

69

0.763441

33

279

6.454545

0.333333

0.15493

0.131455

0.215962

0.384977

0

0.189964

279

11

70

25.363636

0.942478

0

0.444444

0

1

0

true

0

0.777778

0

0.777778

0

null

0

1

0

null

0

1

0

1

0

1

0

4

ac3000c2861cfc54577cebc22127160c6d8e95fb

86

py

Python

ipfsApi/__init__.py

dardevelin/python-ipfs-api

841595f7d2b07db511eef34aa046163ee4a3020e

[ "MIT" ]

1

2018-08-14T02:10:35.000Z

ipfsApi/__init__.py

ipfs-client-libraries/python-ipfs-api

841595f7d2b07db511eef34aa046163ee4a3020e

[ "MIT" ]

null

ipfsApi/__init__.py

ipfs-client-libraries/python-ipfs-api

841595f7d2b07db511eef34aa046163ee4a3020e

[ "MIT" ]

1

2022-01-28T13:37:31.000Z

from __future__ import absolute_import from .client import * __version__ = '0.2.2'

12.285714

38

0.755814

12

86

4.666667

0.666667

0

0.041667

0.162791

86

6

39

14.333333

0.736111

0

0.05814

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ac45e6abbbb88f1ae1939bcf71db99437c006d19

154

py

Python

desafios/des003/des003_p03.py

brenoedl0/python

92ee4ea141584e0bd140449c093f871c2140b1a5

[ "MIT" ]

null

desafios/des003/des003_p03.py

brenoedl0/python

92ee4ea141584e0bd140449c093f871c2140b1a5

[ "MIT" ]

null

desafios/des003/des003_p03.py

brenoedl0/python

92ee4ea141584e0bd140449c093f871c2140b1a5

[ "MIT" ]

null

nota1 = float(input('nota 1: ')) nota2 = float(input('nota 2: ')) media = (nota1 + nota2)/2 print('A media entre a nota 1 e a nota 2 é {}'.format(media))

30.8

61

0.62987

28

154

3.464286

0.5

0.206186

0.28866

0

0.070866

0.175325

154

4

62

38.5

0.692913

0

0.350649

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

4

ac4e9a7286b947fb0b00f67815da9872ce954025

161

py

Python

Estrutura_Decisao/pair_or_odd.py

M3nin0/supreme-broccoli

186c1ea3b839ba3139f9301660dec8fbd27a162e

[ "Apache-2.0" ]

null

Estrutura_Decisao/pair_or_odd.py

M3nin0/supreme-broccoli

186c1ea3b839ba3139f9301660dec8fbd27a162e

[ "Apache-2.0" ]

null

Estrutura_Decisao/pair_or_odd.py

M3nin0/supreme-broccoli

186c1ea3b839ba3139f9301660dec8fbd27a162e

[ "Apache-2.0" ]

null

num = int(input("Insira um numero para descobrir se este é par ou impar: ")) if num % 2 == 0: print("Este numero é par") else: print("Este numero é impar")

17.888889

76

0.658385

29

161

3.655172

0.655172

0.075472

0.283019

0.301887

0

0.015748

0.21118

161

8

77

20.125

0.818898

0

0.578616

0

1

0

false

0

0.4

1

0

null

0

1

0

1

0

null

0

4

ac53b737b7f7790c24745dd75f232a7019768317

7,968

py

Python

challenges/challenge1_test.py

jamiejamiebobamie/CS-2.2-Advanced-Recursion-and-Graphs

3de50122ed783ee9dee251ae87173286a861f33d

[ "MIT" ]

null

challenges/challenge1_test.py

jamiejamiebobamie/CS-2.2-Advanced-Recursion-and-Graphs

3de50122ed783ee9dee251ae87173286a861f33d

[ "MIT" ]

5

2019-07-26T05:39:34.000Z

2019-08-16T14:59:21.000Z

challenges/challenge1_test.py

jamiejamiebobamie/CS-2.2-Advanced-Recursion-and-Graphs

3de50122ed783ee9dee251ae87173286a861f33d

[ "MIT" ]

null

import unittest from challenge1 import * """class Test_Read_Graph_Method(unittest.TestCase): def __init__(self): super(TestingClass, self).__init__() self.filepath = "graph_data.txt" self.vertices, self.edges = read_graph(filepath) def test_read(self): self.assertTrue(self.vertices,['1', '2', '3', '4']) self.assertTrue(self.edges,[(1,2), (1,4), (2,3), (2,4)]) class Test_LLGraph_Methods(unittest.TestCase): def __init__(self): super(TestingClass, self).__init__() self.filepath = "graph_data.txt" self.vertices, self.edges = read_graph(filepath) self.LLGraph = LLGraph(self.vertices) def test_init_(self): self.assertTrue(self.LLGraph.numberOfVertices, 4) self.assertTrue(self.LLGraph.get_vertices(), ['1', '2', '3', '4']) def test_add_edges(self): self.LLGraph.add_edges(self.edges) self.assertTrue(self.LLGraph.get_edges(1), [(1, 2, 1), (1, 4, 1)]) self.assertTrue(self.LLGraph.get_edges(2), [(2, 3, 1), (2, 4, 1)]) self.assertTrue(self.LLGraph.get_edges(3), "No out-going edges.") self.assertTrue(self.LLGraph.get_edges(4), "No out-going edges.") self.LLGraph.add_edge(1, 3, 5) self.assertTrue(self.LLGraph.get_edges(1), [(1, 2, 1), (1, 4, 1), (1, 3, 5)]) self.LLGraph.add_edge(4, 3, 2) self.assertTrue(self.LLGraph.get_edges(4), (4, 3, 2)) self.LLGraph.add_edge(3, 4) # testing default weight of one if weight is not entered self.assertTrue(self.LLGraph.get_edges(3), (3, 4, 1)) def test_add_vertex(self): self.LLGraph.add_vertex() self.assertTrue(self.LLGraph.get_vertices(), ['1', '2', '3', '4', '5']) self.assertTrue(self.LLGraph.numberOfVertices, 5) # def test_iter_(self): # self.assertTrue(self.LLGraph.__iter__(), ['1', [(1, 2, 1), (1, 4, 1), (1, 3, 5)]], ['2', [(2, 3, 1), (2, 4, 1)]], ['3', (3, 4, 1)], ['4', (4, 3, 2)], ['5', 'No out-going edges.']]) def test_get_neighbors_of_a_vertex(self): self.assertTrue(self.LLGraph.get_neighbors_of_a_vertex(1), [2, 4, 3]) class Test_AM_Graph_Methods(unittest.TestCase): def __init__(self): super(TestingClass, self).__init__() self.filepath = "graph_data.txt" self.vertices, self.edges = read_graph(filepath) self.AMGraph = AMGraph(len(self.vertices)) def test_init_(self): self.assertTrue(self.AMGraph.numberOfVertices, 4) self.assertTrue(self.AMGraph.get_vertices(), [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]) def test_add_edges(self): self.AMGraph.add_edges(self.edges) self.assertTrue(self.AMGraph.get_edges(1), [0, 1, 0, 1]) self.assertTrue(self.AMGraph.get_edges(2), [0, 0, 1, 1]) self.assertTrue(self.AMGraph.get_edges(3), [0, 0, 0, 0]) self.assertTrue(self.AMGraph.get_edges(4), [0, 0, 0, 0]) selfAMLGraph.add_edge(1, 3, 5) self.assertTrue(self.AMGraph.get_edges(1), [0, 1, 5, 1]) self.AMGraph.add_edge(4, 3, 2) self.assertTrue(self.AMGraph.get_edges(4), [0, 0, 2, 0]) self.AMGraph.add_edge(3, 4) # testing default weight of one if weight is not entered self.assertTrue(self.AMGraph.get_edges(3), [0, 0, 0, 1]) def test_add_vertex(self): self.AMGraph.add_vertex() self.assertTrue(self.AMGraph.get_vertices(), [[0, 1, 5, 1, 0], [0, 0, 1, 1, 0], [0, 0, 0, 1, 0], [0, 0, 2, 0, 0], [0, 0, 0, 0, 0]]) self.assertTrue(self.AMGraph.numberOfVertices, 5) class Test_Dict_Graph_Methods(unittest.TestCase): def __init__(self): super(TestingClass, self).__init__() self.filepath = "graph_data.txt" self.vertices, self.edges = read_graph(filepath) self.Graph = Graph(len(self.vertices)) def test_init_(self): self.assertTrue(self.Graph.numberOfVertices, 4) self.assertTrue(self.Graph.get_vertices(), ['1', '2', '3', '4']) def test_add_edges(self): self.Graph.add_edges(self.edges) self.assertTrue(self.Graph.get_edges(1), [(1, 2, 1), (1, 4, 1)]) self.assertTrue(self.Graph.get_edges(2), [(2, 3, 1), (2, 4, 1)]) self.assertTrue(self.Graph.get_edges(3), "No out-going edges.") self.assertTrue(self.Graph.get_edges(4), "No out-going edges.") self.Graph.add_edge(1, 3, 5) self.assertTrue(self.Graph.get_edges(1), [(1, 2, 1), (1, 4, 1), (1, 3, 5)]) self.Graph.add_edge(4, 3, 2) self.assertTrue(self.Graph.get_edges(4), (4, 3, 2)) self.Graph.add_edge(3, 4) # testing default weight of one if weight is not entered self.assertTrue(self.Graph.get_edges(3), (3, 4, 1)) def test_add_vertex(self): self.Graph.add_vertex() self.assertTrue(self.Graph.get_vertices(), ['1', '2', '3', '4', '5']) self.assertTrue(self.Graph.numberOfVertices, 5) # def test_iter_(self): # self.assertTrue(self.LLGraph.__iter__(), ['1', [(1, 2, 1), (1, 4, 1), (1, 3, 5)]], ['2', [(2, 3, 1), (2, 4, 1)]], ['3', (3, 4, 1)], ['4', (4, 3, 2)], ['5', 'No out-going edges.']]) def test_get_neighbors_of_a_vertex(self): self.assertTrue(self.Graph.get_neighbors_of_a_vertex(1), [2, 4, 3]) if __name__ == '__main__': unittest.main()""" from challenge1 import * filepath = "graph_data.txt" data = read_graph(filepath) assert data[0] == ['1', '2', '3', '4'] assert data[1] == [(1,2), (1,4), (2,3), (2,4)] # linked list implementation print("\ntesting linked list implementation...") newGraph = LLGraph(data[0]) # adding the vertices assert newGraph.numberOfVertices == 4 assert newGraph.get_vertices() == ['1', '2', '3', '4'] newGraph.add_edges(data[1]) # adding edges assert newGraph.get_edges(1) == [(1, 2, 1), (1, 4, 1)] assert newGraph.get_edges(2) == [(2, 3, 1), (2, 4, 1)] assert newGraph.get_edges(3) and newGraph.get_edges(4) == "No out-going edges." newGraph.add_edge(1, 3, 5) assert newGraph.get_edges(1) == [(1, 2, 1), (1, 4, 1), (1, 3, 5)] newGraph.add_edge(4, 3, 2) assert newGraph.get_edges(4) == (4, 3, 2) newGraph.add_edge(3, 4) assert newGraph.get_edges(3) == (3, 4, 1) assert newGraph.get_vertices() == ['1','2','3','4'] assert newGraph.numberOfVertices == 4 newGraph.add_vertex() assert newGraph.get_vertices() == ['1','2','3','4','5'] assert newGraph.numberOfVertices == 5 assert newGraph.__iter__() == [['1', [(1, 2, 1), (1, 4, 1), (1, 3, 5)]], ['2', [(2, 3, 1), (2, 4, 1)]], ['3', (3, 4, 1)], ['4', (4, 3, 2)], ['5', 'No out-going edges.']] assert newGraph.get_neighbors_of_a_vertex(1) == [2, 4, 3] linkedL = LinkedList() newGraph.vertices.append(linkedL) newGraph.numberOfVertices += 1 # hacking my graph to test getVertex method assert newGraph.get_vertex(newGraph.numberOfVertices) == linkedL print("all linked-list-graph tests pass") # adjacency matrix implementation print("\ntesting adjacenecy matrix implementation...") newGraph = AMGraph(len(data[0])) # adding the vertices assert newGraph.numberOfVertices == 4 assert newGraph.vertices == [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]] assert newGraph.get_vertices() == [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]] newGraph.add_edges(data[1]) # adding edges assert newGraph.get_edges(1) == [0, 1, 0, 1] assert newGraph.get_edges(2) == [0, 0, 1, 1] assert newGraph.get_edges(3) and newGraph.get_edges(4) == [0, 0, 0, 0] newGraph.add_edge(1, 3, 5) assert newGraph.get_edges(1) == [0, 1, 5, 1] newGraph.add_edge(4, 3, 2) assert newGraph.get_edges(4) == [0, 0, 2, 0] newGraph.add_edge(3, 4) assert newGraph.get_edges(3) == [0, 0, 0, 1] newGraph.add_vertex() assert newGraph.numberOfVertices == 5 assert newGraph.vertices == [[0, 1, 5, 1, 0], [0, 0, 1, 1, 0], [0, 0, 0, 1, 0], [0, 0, 2, 0, 0], [0, 0, 0, 0, 0]] assert newGraph.get_vertices() == [[0, 1, 5, 1, 0], [0, 0, 1, 1, 0], [0, 0, 0, 1, 0], [0, 0, 2, 0, 0], [0, 0, 0, 0, 0]] print("all adjacenecy matrix graph tests pass")

41.717277

190

0.616717

1,272

7,968

3.713836

0.062107

0.04276

0.048899

0.048264

0.823243

0.781118

0.75

0.689035

0.627434

0.568586

0

0.07639

0.185115

7,968

190

191

41.936842

0.651163

0.020833

0

0.358491

0

0.090297

0

0.54717

1

0

false

0.037736

0.056604

0

0.056604

0.075472

0

null

0

1

0

null

0

1

0

4

ac6d9ecff3da360afd64ff653a18f8313213ea89

13,844

py

Python

evmosproto/evmos/incentives/v1/incentives_pb2.py

hanchon-live/evmosproto

141f336cf027a88c5bf227ab49069dd1cf2e4853

[ "MIT" ]

null

evmosproto/evmos/incentives/v1/incentives_pb2.py

hanchon-live/evmosproto

141f336cf027a88c5bf227ab49069dd1cf2e4853

[ "MIT" ]

null

evmosproto/evmos/incentives/v1/incentives_pb2.py

hanchon-live/evmosproto

141f336cf027a88c5bf227ab49069dd1cf2e4853

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: evmos/incentives/v1/incentives.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from evmosproto.gogoproto import gogo_pb2 as gogoproto_dot_gogo__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 from evmosproto.cosmos.base.v1beta1 import coin_pb2 as cosmos_dot_base_dot_v1beta1_dot_coin__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='evmos/incentives/v1/incentives.proto', package='evmos.incentives.v1', syntax='proto3', serialized_options=b'Z+github.com/tharsis/evmos/x/incentives/types', create_key=_descriptor._internal_create_key, serialized_pb=b'\n$evmos/incentives/v1/incentives.proto\x12\x13\x65vmos.incentives.v1\x1a\x14gogoproto/gogo.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x1e\x63osmos/base/v1beta1/coin.proto\"\xe2\x01\n\tIncentive\x12\x10\n\x08\x63ontract\x18\x01 \x01(\t\x12\x66\n\x0b\x61llocations\x18\x02 \x03(\x0b\x32\x1c.cosmos.base.v1beta1.DecCoinB3\xc8\xde\x1f\x00\xaa\xdf\x1f+github.com/cosmos/cosmos-sdk/types.DecCoins\x12\x0e\n\x06\x65pochs\x18\x03 \x01(\r\x12\x38\n\nstart_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x08\x90\xdf\x1f\x01\xc8\xde\x1f\x00\x12\x11\n\ttotal_gas\x18\x05 \x01(\x04\"I\n\x08GasMeter\x12\x10\n\x08\x63ontract\x18\x01 \x01(\t\x12\x13\n\x0bparticipant\x18\x02 \x01(\t\x12\x16\n\x0e\x63umulative_gas\x18\x03 \x01(\x04\"\xcf\x01\n\x19RegisterIncentiveProposal\x12\r\n\x05title\x18\x01 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x02 \x01(\t\x12\x10\n\x08\x63ontract\x18\x03 \x01(\t\x12\x66\n\x0b\x61llocations\x18\x04 \x03(\x0b\x32\x1c.cosmos.base.v1beta1.DecCoinB3\xc8\xde\x1f\x00\xaa\xdf\x1f+github.com/cosmos/cosmos-sdk/types.DecCoins\x12\x0e\n\x06\x65pochs\x18\x05 \x01(\r:\x04\xe8\xa0\x1f\x00\"U\n\x17\x43\x61ncelIncentiveProposal\x12\r\n\x05title\x18\x01 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x02 \x01(\t\x12\x10\n\x08\x63ontract\x18\x03 \x01(\t:\x04\xe8\xa0\x1f\x00\x42-Z+github.com/tharsis/evmos/x/incentives/typesb\x06proto3' , dependencies=[gogoproto_dot_gogo__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,cosmos_dot_base_dot_v1beta1_dot_coin__pb2.DESCRIPTOR,]) _INCENTIVE = _descriptor.Descriptor( name='Incentive', full_name='evmos.incentives.v1.Incentive', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='contract', full_name='evmos.incentives.v1.Incentive.contract', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='allocations', full_name='evmos.incentives.v1.Incentive.allocations', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\310\336\037\000\252\337\037+github.com/cosmos/cosmos-sdk/types.DecCoins', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='epochs', full_name='evmos.incentives.v1.Incentive.epochs', index=2, number=3, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='start_time', full_name='evmos.incentives.v1.Incentive.start_time', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\220\337\037\001\310\336\037\000', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='total_gas', full_name='evmos.incentives.v1.Incentive.total_gas', index=4, number=5, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=149, serialized_end=375, ) _GASMETER = _descriptor.Descriptor( name='GasMeter', full_name='evmos.incentives.v1.GasMeter', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='contract', full_name='evmos.incentives.v1.GasMeter.contract', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='participant', full_name='evmos.incentives.v1.GasMeter.participant', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='cumulative_gas', full_name='evmos.incentives.v1.GasMeter.cumulative_gas', index=2, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=377, serialized_end=450, ) _REGISTERINCENTIVEPROPOSAL = _descriptor.Descriptor( name='RegisterIncentiveProposal', full_name='evmos.incentives.v1.RegisterIncentiveProposal', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='title', full_name='evmos.incentives.v1.RegisterIncentiveProposal.title', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='description', full_name='evmos.incentives.v1.RegisterIncentiveProposal.description', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='contract', full_name='evmos.incentives.v1.RegisterIncentiveProposal.contract', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='allocations', full_name='evmos.incentives.v1.RegisterIncentiveProposal.allocations', index=3, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\310\336\037\000\252\337\037+github.com/cosmos/cosmos-sdk/types.DecCoins', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='epochs', full_name='evmos.incentives.v1.RegisterIncentiveProposal.epochs', index=4, number=5, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'\350\240\037\000', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=453, serialized_end=660, ) _CANCELINCENTIVEPROPOSAL = _descriptor.Descriptor( name='CancelIncentiveProposal', full_name='evmos.incentives.v1.CancelIncentiveProposal', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='title', full_name='evmos.incentives.v1.CancelIncentiveProposal.title', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='description', full_name='evmos.incentives.v1.CancelIncentiveProposal.description', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='contract', full_name='evmos.incentives.v1.CancelIncentiveProposal.contract', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'\350\240\037\000', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=662, serialized_end=747, ) _INCENTIVE.fields_by_name['allocations'].message_type = cosmos_dot_base_dot_v1beta1_dot_coin__pb2._DECCOIN _INCENTIVE.fields_by_name['start_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _REGISTERINCENTIVEPROPOSAL.fields_by_name['allocations'].message_type = cosmos_dot_base_dot_v1beta1_dot_coin__pb2._DECCOIN DESCRIPTOR.message_types_by_name['Incentive'] = _INCENTIVE DESCRIPTOR.message_types_by_name['GasMeter'] = _GASMETER DESCRIPTOR.message_types_by_name['RegisterIncentiveProposal'] = _REGISTERINCENTIVEPROPOSAL DESCRIPTOR.message_types_by_name['CancelIncentiveProposal'] = _CANCELINCENTIVEPROPOSAL _sym_db.RegisterFileDescriptor(DESCRIPTOR) Incentive = _reflection.GeneratedProtocolMessageType('Incentive', (_message.Message,), { 'DESCRIPTOR' : _INCENTIVE, '__module__' : 'evmos.incentives.v1.incentives_pb2' # @@protoc_insertion_point(class_scope:evmos.incentives.v1.Incentive) }) _sym_db.RegisterMessage(Incentive) GasMeter = _reflection.GeneratedProtocolMessageType('GasMeter', (_message.Message,), { 'DESCRIPTOR' : _GASMETER, '__module__' : 'evmos.incentives.v1.incentives_pb2' # @@protoc_insertion_point(class_scope:evmos.incentives.v1.GasMeter) }) _sym_db.RegisterMessage(GasMeter) RegisterIncentiveProposal = _reflection.GeneratedProtocolMessageType('RegisterIncentiveProposal', (_message.Message,), { 'DESCRIPTOR' : _REGISTERINCENTIVEPROPOSAL, '__module__' : 'evmos.incentives.v1.incentives_pb2' # @@protoc_insertion_point(class_scope:evmos.incentives.v1.RegisterIncentiveProposal) }) _sym_db.RegisterMessage(RegisterIncentiveProposal) CancelIncentiveProposal = _reflection.GeneratedProtocolMessageType('CancelIncentiveProposal', (_message.Message,), { 'DESCRIPTOR' : _CANCELINCENTIVEPROPOSAL, '__module__' : 'evmos.incentives.v1.incentives_pb2' # @@protoc_insertion_point(class_scope:evmos.incentives.v1.CancelIncentiveProposal) }) _sym_db.RegisterMessage(CancelIncentiveProposal) DESCRIPTOR._options = None _INCENTIVE.fields_by_name['allocations']._options = None _INCENTIVE.fields_by_name['start_time']._options = None _REGISTERINCENTIVEPROPOSAL.fields_by_name['allocations']._options = None _REGISTERINCENTIVEPROPOSAL._options = None _CANCELINCENTIVEPROPOSAL._options = None # @@protoc_insertion_point(module_scope)

48.069444

1,372

0.769142

1,786

13,844

5.663494

0.113662

0.041127

0.061987

0.043599

0.75917

0.722096

0.641621

0.634701

0.626594

0.618092

0

0.046591

0.106978

13,844

287

1,373

48.236934

0.771576

0.038284

0

0.647059

1

0.011765

0.243534

0.207519

0

1

0

false

0

0.027451

0

0.027451

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null

0

1

0

1

0

1

0

1

0

null

0

4

ac79385f0f5c532c4496afb0999dcc78d78a4e70

174

py

Python

Python32/hackeandoface3.py

andersonsilvade/python_C

ffc00184883089f1c2d9b8a6c32503b2c8b8d035

[ "MIT" ]

null

Python32/hackeandoface3.py

andersonsilvade/python_C

ffc00184883089f1c2d9b8a6c32503b2c8b8d035

[ "MIT" ]

null

Python32/hackeandoface3.py

andersonsilvade/python_C

ffc00184883089f1c2d9b8a6c32503b2c8b8d035

[ "MIT" ]

1

2020-11-04T08:36:28.000Z

import urllib.request import json url = 'http://graph.facebook.com/fmasanori' resp = urllib.request.urlopen(url).read() data = json.loads(resp.decode('utf-8')) print(data)

19.333333

43

0.735632

26

174

4.923077

0.730769

0.203125

0

0.006329

0.091954

174

8

44

21.75

0.803797

0

0.231214

0

1

0

false

0

0.333333

0

0.333333

0.166667

1

0

null

1

0

1

0

null

0

1

0

4

ac844765c4ce5c32dfa9aa2da4c0094d7fbd95aa

154

py

Python

convert.py

Resist4263/span-aste-1

13815a262638592506b445315d03df8db965947b

[ "Apache-2.0" ]

null

convert.py

Resist4263/span-aste-1

13815a262638592506b445315d03df8db965947b

[ "Apache-2.0" ]

null

convert.py

Resist4263/span-aste-1

13815a262638592506b445315d03df8db965947b

[ "Apache-2.0" ]

null

from gensim.scripts.glove2word2vec import glove2word2vec (count, dimensions) = glove2word2vec("dataset/glove.42B.300d.txt", "dataset/cropus/42B_w2v.txt")

51.333333

96

0.811688

19

154

6.526316

0.736842

0

0.096552

0.058442

154

3

96

51.333333

0.758621

0

0.335484

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3bb2017aa37b51490a6ff0089cf9d21b31b7addf

220

py

Python

basic_assignment/32.py

1212091/python-learning

30fad66460daf73fd3961cf667ee25b91dee923d

[ "MIT" ]

null

basic_assignment/32.py

1212091/python-learning

30fad66460daf73fd3961cf667ee25b91dee923d

[ "MIT" ]

null

basic_assignment/32.py

1212091/python-learning

30fad66460daf73fd3961cf667ee25b91dee923d

[ "MIT" ]

null

class Circle: def __init__(self, radius): self.radius = radius def compute_area(self): return self.radius ** 2 * 3.14 circle = Circle(2) print("Area of circuit: " + str(circle.compute_area()))

20

55

0.631818

30

220

4.433333

0.533333

0.225564

0

0.029762

0.236364

220

10

56

22

0.761905

0

0.077273

0

1

0.285714

false

0

0.142857

0.571429

0.142857

0

null

1

0

null

0

1

0

1

0

4

3bd475c386fa8a4a56cad45921819b936313ea64

162

py

Python

exercise/6.py

zhaoshengshi/practicepython-exercise

3e123eb602aaf1c9638c7a2199607146e860b96c

[ "Apache-2.0" ]

null

exercise/6.py

zhaoshengshi/practicepython-exercise

3e123eb602aaf1c9638c7a2199607146e860b96c

[ "Apache-2.0" ]

null

exercise/6.py

zhaoshengshi/practicepython-exercise

3e123eb602aaf1c9638c7a2199607146e860b96c

[ "Apache-2.0" ]

null

ss = input('Please give me a string: ') if ss == ss[::-1]: print("Yes, %s is a palindrome." % ss) else: print('Nevermind, %s isn\'t a palindrome.' % ss)

23.142857

52

0.574074

27

162

3.444444

0.666667

0.236559

0.27957

0

0.007937

0.222222

162

6

53

27

0.730159

0

0.41358

0

1

0

false

0

0.4

1

0

null

1

0

1

0

null

0

4

3bdb6220329725e793142bac8d5000ba99303cc3

989

py

Python

common/permissions.py

pedro-hs/financial-account

7e8e4d0f3ac888fa36a091d0e733a8e1926180d2

[ "MIT" ]

null

common/permissions.py

pedro-hs/financial-account

7e8e4d0f3ac888fa36a091d0e733a8e1926180d2

[ "MIT" ]

null

common/permissions.py

pedro-hs/financial-account

7e8e4d0f3ac888fa36a091d0e733a8e1926180d2

[ "MIT" ]

null

from rest_framework.permissions import BasePermission, IsAuthenticated class IsBackOffice(BasePermission): def has_permission(self, request, view): return bool(request.user and request.user.is_authenticated and request.user.role == 'collaborator') class IsUserBase(IsAuthenticated): def has_permission(self, request, view): return bool(request.user and request.user.is_authenticated and request.user.role in ('customer', 'collaborator')) class IsUser(IsUserBase): def has_object_permission(self, request, view, instance): if request.user.role == 'collaborator': return True return request.user.role == 'customer' and instance.user == request.user class IsUserCompany(IsUserBase): def has_object_permission(self, request, view, instance): if request.user.role == 'collaborator': return True return request.user.role == 'customer' and instance.company.user == request.user

34.103448

107

0.706775

112

989

6.160714

0.294643

0.191304

0.130435

0.144928

0.675362

0

0.196158

989

28

108

35.321429

0.867925

0

0.444444

0

0.072801

0

1

0.222222

false

0

0.055556

0.111111

0.833333

0

null

0

1

0

null

0

1

0

1

0

4

3bfae0d38025f9ed469b1477352c2cbb4d204cae

9,752

py

Python

tests/metrics/test_metrics.py

HiromuHota/emmental

eb1e29b3406fc0ac301b2d29e06db5e6774eb9f0

[ "MIT" ]

null

tests/metrics/test_metrics.py

HiromuHota/emmental

eb1e29b3406fc0ac301b2d29e06db5e6774eb9f0

[ "MIT" ]

null

tests/metrics/test_metrics.py

HiromuHota/emmental

eb1e29b3406fc0ac301b2d29e06db5e6774eb9f0

[ "MIT" ]

null

import logging import numpy as np from emmental.metrics.accuracy import accuracy_scorer from emmental.metrics.accuracy_f1 import accuracy_f1_scorer from emmental.metrics.fbeta import f1_scorer, fbeta_scorer from emmental.metrics.matthews_correlation import ( matthews_correlation_coefficient_scorer, ) from emmental.metrics.mean_squared_error import mean_squared_error_scorer from emmental.metrics.pearson_correlation import pearson_correlation_scorer from emmental.metrics.pearson_spearman import pearson_spearman_scorer from emmental.metrics.precision import precision_scorer from emmental.metrics.recall import recall_scorer from emmental.metrics.roc_auc import roc_auc_scorer from emmental.metrics.spearman_correlation import spearman_correlation_scorer from tests.utils import isequal def test_accuracy(caplog): """Unit test of accuracy_scorer""" caplog.set_level(logging.INFO) golds = np.array([0, 1, 0, 1, 0, 1]) gold_probs = np.array( [[0.6, 0.4], [0.1, 0.9], [0.7, 0.3], [0.2, 0.8], [0.9, 0.1], [0.4, 0.6]] ) probs = np.array( [[0.9, 0.1], [0.6, 0.4], [1.0, 0.0], [0.8, 0.2], [0.6, 0.4], [0.05, 0.95]] ) preds = np.array([0, 0, 0, 0, 0, 1]) metric_dict = accuracy_scorer(golds, None, preds) assert isequal(metric_dict, {"accuracy": 0.6666666666666666}) metric_dict = accuracy_scorer(golds, probs, None) assert isequal(metric_dict, {"accuracy": 0.6666666666666666}) metric_dict = accuracy_scorer(golds, probs, preds, topk=2) assert isequal(metric_dict, {"accuracy@2": 1.0}) metric_dict = accuracy_scorer(gold_probs, None, preds) assert isequal(metric_dict, {"accuracy": 0.6666666666666666}) metric_dict = accuracy_scorer(gold_probs, probs, preds, topk=2) assert isequal(metric_dict, {"accuracy@2": 1.0}) metric_dict = accuracy_scorer(golds, None, preds, normalize=False) assert isequal(metric_dict, {"accuracy": 4}) metric_dict = accuracy_scorer(gold_probs, probs, preds, topk=2, normalize=False) assert isequal(metric_dict, {"accuracy@2": 6}) def test_precision(caplog): """Unit test of precision_scorer""" caplog.set_level(logging.INFO) golds = np.array([0, 1, 0, 1, 0, 1]) gold_probs = np.array( [[0.6, 0.4], [0.1, 0.9], [0.7, 0.3], [0.2, 0.8], [0.9, 0.1], [0.4, 0.6]] ) preds = np.array([0, 0, 0, 0, 0, 1]) metric_dict = precision_scorer(golds, None, preds, pos_label=1) assert isequal(metric_dict, {"precision": 1}) metric_dict = precision_scorer(golds, None, preds, pos_label=0) assert isequal(metric_dict, {"precision": 0.6}) metric_dict = precision_scorer(gold_probs, None, preds, pos_label=1) assert isequal(metric_dict, {"precision": 1}) metric_dict = precision_scorer(gold_probs, None, preds, pos_label=0) assert isequal(metric_dict, {"precision": 0.6}) def test_recall(caplog): """Unit test of recall_scorer""" caplog.set_level(logging.INFO) golds = np.array([0, 1, 0, 1, 0, 1]) gold_probs = np.array( [[0.6, 0.4], [0.1, 0.9], [0.7, 0.3], [0.2, 0.8], [0.9, 0.1], [0.4, 0.6]] ) preds = np.array([0, 0, 0, 0, 0, 1]) metric_dict = recall_scorer(golds, None, preds, pos_label=1) assert isequal(metric_dict, {"recall": 0.3333333333333333}) metric_dict = recall_scorer(golds, None, preds, pos_label=0) assert isequal(metric_dict, {"recall": 1}) metric_dict = recall_scorer(gold_probs, None, preds, pos_label=1) assert isequal(metric_dict, {"recall": 0.3333333333333333}) metric_dict = recall_scorer(gold_probs, None, preds, pos_label=0) assert isequal(metric_dict, {"recall": 1}) def test_f1(caplog): """Unit test of f1_scorer""" caplog.set_level(logging.INFO) golds = np.array([0, 1, 0, 1, 0, 1]) gold_probs = np.array( [[0.6, 0.4], [0.1, 0.9], [0.7, 0.3], [0.2, 0.8], [0.9, 0.1], [0.4, 0.6]] ) preds = np.array([0, 0, 0, 0, 0, 1]) metric_dict = f1_scorer(golds, None, preds, pos_label=1) assert isequal(metric_dict, {"f1": 0.5}) metric_dict = f1_scorer(golds, None, preds, pos_label=0) assert isequal(metric_dict, {"f1": 0.7499999999999999}) metric_dict = f1_scorer(gold_probs, None, preds, pos_label=1) assert isequal(metric_dict, {"f1": 0.5}) metric_dict = f1_scorer(gold_probs, None, preds, pos_label=0) assert isequal(metric_dict, {"f1": 0.7499999999999999}) def test_fbeta(caplog): """Unit test of fbeta_scorer""" caplog.set_level(logging.INFO) golds = np.array([0, 1, 0, 1, 0, 1]) gold_probs = np.array( [[0.6, 0.4], [0.1, 0.9], [0.7, 0.3], [0.2, 0.8], [0.9, 0.1], [0.4, 0.6]] ) preds = np.array([0, 0, 0, 0, 0, 1]) metric_dict = fbeta_scorer(golds, None, preds, pos_label=1, beta=2) assert isequal(metric_dict, {"f2": 0.3846153846153846}) metric_dict = fbeta_scorer(golds, None, preds, pos_label=0, beta=2) assert isequal(metric_dict, {"f2": 0.8823529411764706}) metric_dict = fbeta_scorer(gold_probs, None, preds, pos_label=1, beta=2) assert isequal(metric_dict, {"f2": 0.3846153846153846}) metric_dict = fbeta_scorer(gold_probs, None, preds, pos_label=0, beta=2) assert isequal(metric_dict, {"f2": 0.8823529411764706}) def test_matthews_corrcoef(caplog): """Unit test of matthews_correlation_coefficient_scorer""" caplog.set_level(logging.INFO) golds = np.array([0, 1, 0, 1, 0, 1]) preds = np.array([0, 0, 0, 0, 0, 1]) metric_dict = matthews_correlation_coefficient_scorer(golds, None, preds) assert isequal(metric_dict, {"matthews_corrcoef": 0.4472135954999579}) def test_mean_squared_error(caplog): """Unit test of mean_squared_error_scorer""" caplog.set_level(logging.INFO) golds = np.array([3, -0.5, 2, 7]) probs = np.array([2.5, 0.0, 2, 8]) metric_dict = mean_squared_error_scorer(golds, probs, None) assert isequal(metric_dict, {"mean_squared_error": 0.375}) golds = np.array([[0.5, 1], [-1, 1], [7, -6]]) probs = np.array([[0, 2], [-1, 2], [8, -5]]) metric_dict = mean_squared_error_scorer(golds, probs, None) assert isequal(metric_dict, {"mean_squared_error": 0.7083333333333334}) def test_pearson_correlation(caplog): """Unit test of pearson_correlation_scorer""" caplog.set_level(logging.INFO) golds = np.array([1, 0, 1, 0, 1, 0]) probs = np.array([0.8, 0.6, 0.9, 0.7, 0.7, 0.2]) metric_dict = pearson_correlation_scorer(golds, probs, None) assert isequal(metric_dict, {"pearson_correlation": 0.6764814252025461}) metric_dict = pearson_correlation_scorer(golds, probs, None, return_pvalue=True) assert isequal( metric_dict, { "pearson_correlation": 0.6764814252025461, "pearson_pvalue": 0.14006598491201777, }, ) def test_spearman_correlation(caplog): """Unit test of spearman_correlation_scorer""" caplog.set_level(logging.INFO) golds = np.array([1, 0, 1, 0, 1, 0]) probs = np.array([0.8, 0.6, 0.9, 0.7, 0.7, 0.2]) metric_dict = spearman_correlation_scorer(golds, probs, None) assert isequal(metric_dict, {"spearman_correlation": 0.7921180343813395}) metric_dict = spearman_correlation_scorer(golds, probs, None, return_pvalue=True) assert isequal( metric_dict, { "spearman_correlation": 0.7921180343813395, "spearman_pvalue": 0.06033056705743058, }, ) def test_pearson_spearman(caplog): """Unit test of pearson_spearman_scorer""" caplog.set_level(logging.INFO) golds = np.array([1, 0, 1, 0, 1, 0]) probs = np.array([0.8, 0.6, 0.9, 0.7, 0.7, 0.2]) metric_dict = pearson_spearman_scorer(golds, probs, None) assert isequal(metric_dict, {"pearson_spearman": 0.7342997297919428}) def test_roc_auc(caplog): """Unit test of roc_auc_scorer""" caplog.set_level(logging.INFO) golds = np.array([[1], [0], [1], [0], [1], [0]]) gold_probs = np.array( [[0.4, 0.6], [0.9, 0.1], [0.3, 0.7], [0.8, 0.2], [0.1, 0.9], [0.6, 0.4]] ) probs = np.array( [[0.2, 0.8], [0.4, 0.6], [0.1, 0.9], [0.3, 0.7], [0.3, 0.7], [0.8, 0.2]] ) preds = np.array([[0.8], [0.6], [0.9], [0.7], [0.7], [0.2]]) metric_dict = roc_auc_scorer(golds, probs, None) assert isequal(metric_dict, {"roc_auc": 0.9444444444444444}) metric_dict = roc_auc_scorer(gold_probs, probs, None) assert isequal(metric_dict, {"roc_auc": 0.9444444444444444}) metric_dict = roc_auc_scorer(golds, preds, None) assert isequal(metric_dict, {"roc_auc": 0.9444444444444444}) metric_dict = roc_auc_scorer(gold_probs, preds, None) assert isequal(metric_dict, {"roc_auc": 0.9444444444444444}) golds = np.array([1, 1, 1, 1, 1, 1]) metric_dict = roc_auc_scorer(golds, probs, None) assert isequal(metric_dict, {"roc_auc": float("nan")}) def test_accuracy_f1(caplog): """Unit test of accuracy_f1_scorer""" caplog.set_level(logging.INFO) golds = np.array([0, 1, 0, 1, 0, 1]) gold_probs = np.array( [[0.6, 0.4], [0.1, 0.9], [0.7, 0.3], [0.2, 0.8], [0.9, 0.1], [0.4, 0.6]] ) preds = np.array([0, 0, 0, 0, 0, 1]) metric_dict = accuracy_f1_scorer(golds, None, preds) assert isequal(metric_dict, {"accuracy_f1": 0.5833333333333333}) metric_dict = accuracy_f1_scorer(golds, None, preds, pos_label=1) assert isequal(metric_dict, {"accuracy_f1": 0.5833333333333333}) metric_dict = accuracy_f1_scorer(golds, None, preds, pos_label=0) assert isequal(metric_dict, {"accuracy_f1": 0.7083333333333333}) metric_dict = accuracy_f1_scorer(gold_probs, None, preds) assert isequal(metric_dict, {"accuracy_f1": 0.5833333333333333})

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Python

examples/robot_mock.py

gmamaladze/robo-pi

f9affc63760774073a3b1de4e4ea064bde2eb074

[ "MIT" ]

1

2020-04-24T21:34:01.000Z

examples/robot_mock.py

gmamaladze/robo-pi

f9affc63760774073a3b1de4e4ea064bde2eb074

[ "MIT" ]

10

2019-12-16T20:55:38.000Z

2022-02-09T23:33:51.000Z

examples/robot_mock.py

gmamaladze/tf-voice-pi

f9affc63760774073a3b1de4e4ea064bde2eb074

[ "MIT" ]

null

class Robot: def __init__(self, left="MOTOR4", right="MOTOR2", config=1): print("init") def forward(self): print("forward") def backward(self): print("backward") def left(self): print("left") def right(self): print("right") def stop(self): print("stop")

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py

Python

Python/leetcode/Triangle.py

darrencheng0817/AlgorithmLearning

aec1ddd0c51b619c1bae1e05f940d9ed587aa82f

[ "MIT" ]

2

2015-12-02T06:44:01.000Z

2016-05-04T21:40:54.000Z

Python/leetcode/Triangle.py

darrencheng0817/AlgorithmLearning

aec1ddd0c51b619c1bae1e05f940d9ed587aa82f

[ "MIT" ]

null

Python/leetcode/Triangle.py

darrencheng0817/AlgorithmLearning

aec1ddd0c51b619c1bae1e05f940d9ed587aa82f

[ "MIT" ]

null

''' Created on 1.12.2016 @author: Darren '''''' Given a triangle, find the minimum path sum from top to bottom. Each step you may move to adjacent numbers on the row below. For example, given the following triangle [ [2], [3,4], [6,5,7], [4,1,8,3] ] The minimum path sum from top to bottom is 11 (i.e., 2 + 3 + 5 + 1 = 11). Note: Bonus point if you are able to do this using only O(n) extra space, where n is the total number of rows in the triangle. " '''

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py

Python

startup.py

andreagia/WEBNMR

512a8cc04cf69300796585feae722614501389a9

[ "Apache-2.0" ]

null

startup.py

andreagia/WEBNMR

512a8cc04cf69300796585feae722614501389a9

[ "Apache-2.0" ]

null

startup.py

andreagia/WEBNMR

512a8cc04cf69300796585feae722614501389a9

[ "Apache-2.0" ]

null

from paste.deploy import loadapp app = loadapp("config:/home/webenmr/WebENMR/development.ini")

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py

Python

src/opserver/plugins/alarm_process_connectivity/setup.py

biswajit-mandal/contrail-controller

80c4a7e8515f7296b18ba4c21a439bd3daefcc4a

[ "Apache-2.0" ]

3

2019-01-11T06:16:40.000Z

2021-02-24T23:48:21.000Z

src/opserver/plugins/alarm_process_connectivity/setup.py

biswajit-mandal/contrail-controller

80c4a7e8515f7296b18ba4c21a439bd3daefcc4a

[ "Apache-2.0" ]

null

src/opserver/plugins/alarm_process_connectivity/setup.py

biswajit-mandal/contrail-controller

80c4a7e8515f7296b18ba4c21a439bd3daefcc4a

[ "Apache-2.0" ]

18

2017-01-12T09:28:44.000Z

2019-04-18T20:47:42.000Z

# # Copyright (c) 2013 Juniper Networks, Inc. All rights reserved. # from setuptools import setup, find_packages setup( name='alarm_process_connectivity', version='0.1dev', packages=find_packages(), entry_points = { 'contrail.analytics.alarms': [ 'ObjectCollectorInfo = alarm_process_connectivity.main:ProcessConnectivity', 'ObjectVRouter = alarm_process_connectivity.main:ProcessConnectivity', 'ObjectConfigNode = alarm_process_connectivity.main:ProcessConnectivity', 'ObjectBgpRouter = alarm_process_connectivity.main:ProcessConnectivity', 'ObjectDatabaseInfo = alarm_process_connectivity.main:ProcessConnectivity', ], }, zip_safe=False, long_description="ProcessConnectivity alarm" )

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024c8b636c73803ba5c14b996265676bb94e1dd0

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py

Python

notebooks/shared/ipypublish/export_plugins/html_standard.py

leonbett/debuggingbook

ae1fa940c306160429232fbc93a7a7f14b44efb7

[ "MIT" ]

728

2018-09-21T03:51:04.000Z

2022-03-28T09:35:04.000Z

notebooks/shared/ipypublish/export_plugins/html_standard.py

leonbett/debuggingbook

ae1fa940c306160429232fbc93a7a7f14b44efb7

[ "MIT" ]

103

2018-09-02T12:26:32.000Z

2022-02-09T07:19:08.000Z

notebooks/shared/ipypublish/export_plugins/html_standard.py

leonbett/debuggingbook

ae1fa940c306160429232fbc93a7a7f14b44efb7

[ "MIT" ]

157

2018-09-02T08:00:50.000Z

2022-03-27T22:04:50.000Z

#!/usr/bin/env python """html in standard nbconvert format """ from ipypublish.html.create_tpl import create_tpl from ipypublish.html.standard import content from ipypublish.html.standard import content_tagging from ipypublish.html.standard import document from ipypublish.html.standard import inout_prompt from ipypublish.html.standard import mathjax from ipypublish.html.standard import widgets oformat = 'HTML' config = {} template = create_tpl([ document.tpl_dict, content.tpl_dict, content_tagging.tpl_dict, mathjax.tpl_dict, widgets.tpl_dict, inout_prompt.tpl_dict ])

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py

Python

tests/unit/test_databeardb.py

chrisrycx/pyDataLogger

21094da9de54ab467519a26680247ddc3efa6696

[ "MIT" ]

1

2020-09-25T16:25:09.000Z

tests/unit/test_databeardb.py

chrisrycx/pyDataLogger

21094da9de54ab467519a26680247ddc3efa6696

[ "MIT" ]

4

2020-10-06T17:16:58.000Z

2020-12-18T17:06:16.000Z

tests/unit/test_databeardb.py

chrisrycx/pyDataLogger

21094da9de54ab467519a26680247ddc3efa6696

[ "MIT" ]

2

2020-03-24T14:32:29.000Z

2020-08-05T17:38:24.000Z

''' A unit test for databearDB.py Runs manually at this point... ''' import unittest from databear.databearDB import DataBearDB #Tests class testDataBearDB(unittest.TestCase): def setUp(self): ''' Hmm ''' pass

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py

Python

env/lib/python3.7/site-packages/grpc/_grpcio_metadata.py

PrudhviGNV/speechemotion

c99b4a7f644e1fd495cb5e6750ada0dd50d8b86f

[ "MIT" ]

5

2019-04-16T20:43:47.000Z

2020-10-24T22:35:39.000Z

Lib/site-packages/grpc/_grpcio_metadata.py

caiyongji/Anaconda-py36.5-tensorflow-built-env

f4eb40b5ca3f49dfc929ff3ad2b4bb877e9663e2

[ "PSF-2.0" ]

2

2021-04-30T20:43:55.000Z

2021-06-10T21:34:23.000Z

Lib/site-packages/grpc/_grpcio_metadata.py

caiyongji/Anaconda-py36.5-tensorflow-built-env

f4eb40b5ca3f49dfc929ff3ad2b4bb877e9663e2

[ "PSF-2.0" ]

3

2019-08-03T13:47:09.000Z

2021-08-03T14:20:25.000Z

__version__ = """1.19.0"""

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py

Python

backend_server/backend_globals.py

MSNLAB/SmartEye

40b38190aeff5d5b970c8cbf43e8781634b38028

[ "MIT", "Unlicense" ]

17

2021-06-27T04:33:13.000Z

2022-03-21T02:54:52.000Z

backend_server/backend_globals.py

MSNLAB/SmartEye

40b38190aeff5d5b970c8cbf43e8781634b38028

[ "MIT", "Unlicense" ]

null

backend_server/backend_globals.py

MSNLAB/SmartEye

40b38190aeff5d5b970c8cbf43e8781634b38028

[ "MIT", "Unlicense" ]

2

2021-10-31T05:14:24.000Z

2022-03-25T18:53:49.000Z

global loaded_model

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65fdd0400541291beac65b8a408eaf8121f2b56b

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py

Python

server/resources/platform.py

simon-dube/CARMIN-server

1481d2c4231458d33119c57ab2e3e480375da63b

[ "MIT" ]

1

2018-03-12T23:08:12.000Z

server/resources/platform.py

simon-dube/CARMIN-server

1481d2c4231458d33119c57ab2e3e480375da63b

[ "MIT" ]

15

2018-03-15T04:23:31.000Z

2018-06-28T21:46:15.000Z

server/resources/platform.py

simon-dube/CARMIN-server

1481d2c4231458d33119c57ab2e3e480375da63b

[ "MIT" ]

null

from flask_restful import Resource from server.platform_properties import PLATFORM_PROPERTIES from server.resources.models.platform_properties import PlatformPropertiesSchema from server.resources.decorators import marshal_response class Platform(Resource): @marshal_response(PlatformPropertiesSchema()) def get(self): return PlatformPropertiesSchema().load(PLATFORM_PROPERTIES).data

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5a0835b17e7c0f765c8aa93d7341da5395fe71d2

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py

Python

provider/__init__.py

depop/django-oauth2-provider

afcdef72747233dc0259a4bc068a8086ba7a69d3

[ "MIT" ]

1

2020-05-10T00:11:05.000Z

provider/__init__.py

depop/django-oauth2-provider

afcdef72747233dc0259a4bc068a8086ba7a69d3

[ "MIT" ]

1

2016-05-23T15:22:41.000Z

provider/__init__.py

depop/django-oauth2-provider

afcdef72747233dc0259a4bc068a8086ba7a69d3

[ "MIT" ]

null

__version__ = "0.2.7+depop.6.1"

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5a2a33ed323999913f0d3da3c440981176e3bcd7

159

py

Python

Dashboard with Django/updates/forms.py

reddyprasade/Data-Analysis-with-Python-

2440e23486856eea5556c8262467b3a618032bc2

[ "MIT" ]

1

2021-06-29T23:15:05.000Z

Dashboard with Django/updates/forms.py

reddyprasade/Data-Analysis-with-Python-

2440e23486856eea5556c8262467b3a618032bc2

[ "MIT" ]

null

Dashboard with Django/updates/forms.py

reddyprasade/Data-Analysis-with-Python-

2440e23486856eea5556c8262467b3a618032bc2

[ "MIT" ]

1

2021-12-20T10:04:53.000Z

from django.forms import ModelForm from updates.models import Post class Postform(ModelForm): class Meta: model = Post fields = ['title','body','date']

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5a41217fc99d7ef188d90f55041a7803b426c258

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py

Python

gsb/rest/__init__.py

pfrancois/grisbi_django

4e27149522847c78ab9c0f0a06f0b1d371f7c205

[ "BSD-3-Clause" ]

null

gsb/rest/__init__.py

pfrancois/grisbi_django

4e27149522847c78ab9c0f0a06f0b1d371f7c205

[ "BSD-3-Clause" ]

null

gsb/rest/__init__.py

pfrancois/grisbi_django

4e27149522847c78ab9c0f0a06f0b1d371f7c205

[ "BSD-3-Clause" ]

null

# coding=utf-8 # init

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5a4d72f7295e946813a914b8b8596cf8a6802ccb

2,691

py

Python

cocotb/_py_compat.py

lavanyajagan/cocotb

2f98612016e68510e264a2b4963303d3588d8404

[ "BSD-3-Clause" ]

350

2015-01-09T12:50:13.000Z

2019-07-12T09:08:17.000Z

cocotb/_py_compat.py

lavanyajagan/cocotb

2f98612016e68510e264a2b4963303d3588d8404

[ "BSD-3-Clause" ]

710

2015-01-05T16:42:29.000Z

2019-07-16T13:40:00.000Z

cocotb/_py_compat.py

lavanyajagan/cocotb

2f98612016e68510e264a2b4963303d3588d8404

[ "BSD-3-Clause" ]

182

2015-01-08T09:35:20.000Z

2019-07-12T18:41:37.000Z

# Copyright (c) cocotb contributors # 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 the copyright holder 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 POTENTIAL VENTURES LTD 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. """ Backports and compatibility shims for newer python features. These are for internal use - users should use a third party library like `six` if they want to use these shims in their own code """ import sys # backport of Python 3.7's contextlib.nullcontext class nullcontext: """Context manager that does no additional processing. Used as a stand-in for a normal context manager, when a particular block of code is only sometimes used with a normal context manager: cm = optional_cm if condition else nullcontext() with cm: # Perform operation, using optional_cm if condition is True """ def __init__(self, enter_result=None): self.enter_result = enter_result def __enter__(self): return self.enter_result def __exit__(self, *excinfo): pass # On python 3.7 onwards, `dict` is guaranteed to preserve insertion order. # Since `OrderedDict` is a little slower that `dict`, we prefer the latter # when possible. if sys.version_info[:2] >= (3, 7): insertion_ordered_dict = dict else: import collections insertion_ordered_dict = collections.OrderedDict

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4

ce69ac58ca5435e4721a3c9bb26cdcd8b83c0839

160

py

Python

exercise/newfile45.py

LeeBeral/python

9f0d360d69ee5245e3ef13a9dc9fc666374587a4

[ "MIT" ]

null

exercise/newfile45.py

LeeBeral/python

9f0d360d69ee5245e3ef13a9dc9fc666374587a4

[ "MIT" ]

null

exercise/newfile45.py

LeeBeral/python

9f0d360d69ee5245e3ef13a9dc9fc666374587a4

[ "MIT" ]

null

show databases; show tables desc table名 use database名 delete from 库名.表名 where id=5; select * from 表名 where id=5; update 表名 set age=15,home='北京' where id=5

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