xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

557ac7d884f6e45a0c26256774f437eba16231eb

31

py

Python

gem/src/keys_server/GMO/utils.py

Martynaslin/Workshop2019

b0edebc4c09a4778f2afa5fcd1a84e97300e15fb

[ "BSD-2-Clause" ]

1

2019-07-11T13:07:42.000Z

gem/src/keys_server/GMO/utils.py

Martynaslin/Workshop2019

b0edebc4c09a4778f2afa5fcd1a84e97300e15fb

[ "BSD-2-Clause" ]

3

2019-07-02T17:04:39.000Z

2019-07-18T10:21:17.000Z

gem/src/keys_server/GMO/utils.py

Martynaslin/Workshop2019

b0edebc4c09a4778f2afa5fcd1a84e97300e15fb

[ "BSD-2-Clause" ]

6

2019-07-01T21:19:49.000Z

2021-02-10T13:34:51.000Z

""" Utilities for GMO model """

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null

0

1

0

4

55884d3337ac3080f2d9905af1c7eacd262a9e32

1,874

py

Python

smartclient/backends/base.py

jbeluch/smartclient

16620f217730f2c1d6b6c24c96dd1eb85534812f

[ "MIT" ]

2

2018-12-13T21:07:24.000Z

2019-06-17T18:55:52.000Z

smartclient/backends/base.py

Squarespace/smartclient

16620f217730f2c1d6b6c24c96dd1eb85534812f

[ "MIT" ]

null

smartclient/backends/base.py

Squarespace/smartclient

16620f217730f2c1d6b6c24c96dd1eb85534812f

[ "MIT" ]

2

2019-06-07T01:51:23.000Z

2021-03-17T17:13:13.000Z

import abc class BackendBase(object): __metaclass__ = abc.ABCMeta @abc.abstractproperty def supports_watching(self): '''Return True if this backend supports watching for key changes (and therfore should implement watch_node() and watch_children(). ''' pass @abc.abstractproperty def client(self): '''Return the raw underlying client. If the client requires "starting", this should handle that. ''' @abc.abstractmethod def get_node(self, name): pass @abc.abstractmethod def get_children(self, name): pass class WatchableBase(BackendBase): supports_watching = True @abc.abstractmethod def watch_node(self, name, callback): '''Watches for changes in the node's value. Returns an instance of WatcherBase() which has a single method, stop(). ''' pass @abc.abstractmethod def watch_children(self, name, callback): '''Watches for changes in the child list of a given node. Returns an instance of WatcherBase() which has a single method, stop(). ''' pass @abc.abstractmethod def watch_all(self, name, callback): '''Watches for changes in the child list as well as watches each child node's values. Returns an instance of WatcherBaes() which has a single method, stop(). # TODO: need to conform the data passed into callbacks from watchers. ''' pass class NonWatchableBase(BackendBase): supports_watching = False @abc.abstractproperty def update_threshold(self): raise NotImplementedError('Please define an update threshold for this backend.') class WatcherBase(object): __metaclass__ = abc.ABCMeta @abc.abstractmethod def stop(self): '''Stops the watcher.''' pass

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5595d9685758da8cf42214e4dd423b7433cab00a

317

py

Python

bit_manipulation/136.py

MingfeiPan/leetcode

55dc878cfb7b15a34252410ae7420a656da604f8

[ "Apache-2.0" ]

null

bit_manipulation/136.py

MingfeiPan/leetcode

55dc878cfb7b15a34252410ae7420a656da604f8

[ "Apache-2.0" ]

null

bit_manipulation/136.py

MingfeiPan/leetcode

55dc878cfb7b15a34252410ae7420a656da604f8

[ "Apache-2.0" ]

null

#math solution class Solution: def singleNumber(self, nums: List[int]) -> int: return sum(set(nums))*2 - sum(nums) #xor solution, 注意xor的性质 1 ^ 1 = 0, 1 ^ 0 = 1 import functools class Solution: def singleNumber(self, nums: List[int]) -> int: return functools.reduce(lambda a, b: a ^ b, nums)

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null

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4

55b62d5465e485b601b4443bbb977e52707b27ed

482

py

Python

elementary/first-word.py

vargad/exercises

1a2fc2557672749d590ebdf596f99f53405320a1

[ "MIT" ]

1

2018-02-24T10:51:07.000Z

elementary/first-word.py

vargad/exercises

1a2fc2557672749d590ebdf596f99f53405320a1

[ "MIT" ]

null

elementary/first-word.py

vargad/exercises

1a2fc2557672749d590ebdf596f99f53405320a1

[ "MIT" ]

1

2019-02-13T21:41:07.000Z

#!/usr/bin/env python3 import re def first_word(text: str) -> str: return re.search("([a-zA-Z']+)", text)[1] if __name__ == '__main__': print(first_word("Hello World")) assert first_word("Hello World") == "Hello" assert first_word(" more spaces ") == "more" assert first_word("don't split it") == "don't" assert first_word("hello, world") == "hello" assert first_word("... very long sentence ...") == "very" assert first_word("mokus") == "mokus"

28.352941

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482

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0.319149

0.202128

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0.184647

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0

null

1

0

null

0

1

0

4

55b9dce60187072fd1e8a9803a9febeb54fdc80b

182

py

Python

NLTKsetup.py

SamuelVedrik/PreprMachineLearningChallenge

48134e38405a6f12502f3c2c8856d7c9e89b178e

[ "MIT" ]

null

NLTKsetup.py

SamuelVedrik/PreprMachineLearningChallenge

48134e38405a6f12502f3c2c8856d7c9e89b178e

[ "MIT" ]

null

NLTKsetup.py

SamuelVedrik/PreprMachineLearningChallenge

48134e38405a6f12502f3c2c8856d7c9e89b178e

[ "MIT" ]

null

import warnings warnings.filterwarnings('ignore') import nltk nltk.download('punkt') nltk.download('averaged_perceptron_tagger') nltk.download('wordnet') nltk.download('stopwords')

20.222222

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0.807692

21

182

6.904762

0.571429

0.331034

0

0.054945

182

8

44

22.75

0.843023

0

0.291209

0.142857

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true

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null

1

0

1

0

null

0

1

0

4

55ba41ba057c6f57ceeb123c53d23d2759beeb1e

243

py

Python

square.py

littlepudge123/Gitdemo

a2547baf41bd524ecf4f2f5abdd82e65daafe237

[ "MIT" ]

null

square.py

littlepudge123/Gitdemo

a2547baf41bd524ecf4f2f5abdd82e65daafe237

[ "MIT" ]

null

square.py

littlepudge123/Gitdemo

a2547baf41bd524ecf4f2f5abdd82e65daafe237

[ "MIT" ]

null

import turtle my_turtle=turtle.Turtle() my_turtle.shape("turtle") my_turtle.forward(200) my_turtle.right(90) my_turtle.forward(200) my_turtle.right(90) my_turtle.forward(200) my_turtle.right(90) my_turtle.forward(200) turtle.mainloop()

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0.786008

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243

4.55

0.225

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0.32967

0.395604

0.642857

0

0.080357

0.078189

243

19

26

12.789474

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false

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0.090909

0

null

1

0

1

0

null

0

4

55bbb1ef4fc1db6f2ebfe6df3d99ae46e1cd317b

207

py

Python

contrib/harbor-cli/harborclient/v2/searcher.py

eirinikos/harbor

efb3759d147ad225e00f161a49ab1e9ed4542b1f

[ "Apache-2.0" ]

99

2016-12-20T15:02:04.000Z

2022-03-23T02:13:11.000Z

contrib/harbor-cli/harborclient/v2/searcher.py

hjimmy/harbor

b308c6e4fc3540d03eae7d7c3146f63dab8e52c5

[ "Apache-2.0" ]

24

2016-12-26T06:53:49.000Z

2020-09-01T16:00:45.000Z

contrib/harbor-cli/harborclient/v2/searcher.py

hjimmy/harbor

b308c6e4fc3540d03eae7d7c3146f63dab8e52c5

[ "Apache-2.0" ]

31

2017-05-27T06:34:50.000Z

2021-11-05T07:44:14.000Z

from harborclient import base class SearchManager(base.Manager): def search(self, query): """Search for projects and repositories.""" return self.api.client.get("/search?q=%s" % query)

25.875

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0.676329

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207

5.384615

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207

7

59

29.571429

0.838323

0.178744

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0.073171

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1

0.25

false

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0.25

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null

0

1

0

null

0

1

0

1

0

4

55c04151c15b31fdc680803e0016510c3dde172d

176

py

Python

backend/room/admin.py

glproj/tictactoe-online

4a99cda10f3112fb83f6f55b95b2c98a030c1658

[ "MIT" ]

null

backend/room/admin.py

glproj/tictactoe-online

4a99cda10f3112fb83f6f55b95b2c98a030c1658

[ "MIT" ]

null

backend/room/admin.py

glproj/tictactoe-online

4a99cda10f3112fb83f6f55b95b2c98a030c1658

[ "MIT" ]

null

from django.contrib import admin from .models import Room class RoomAdmin(admin.ModelAdmin): list_display = ('name', 'nb_of_players') admin.site.register(Room, RoomAdmin)

25.142857

44

0.772727

24

176

5.541667

0.75

0

0.119318

176

6

45

29.333333

0.858065

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0.096591

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e953b47be15ba41210a2ce9051645420c6605e98

135

py

Python

zad7_2.py

kamilhabrych/python-semestr5-lista7

588c0ad405344cf7e2b4ca6c9867720ed37def47

[ "MIT" ]

null

zad7_2.py

kamilhabrych/python-semestr5-lista7

588c0ad405344cf7e2b4ca6c9867720ed37def47

[ "MIT" ]

null

zad7_2.py

kamilhabrych/python-semestr5-lista7

588c0ad405344cf7e2b4ca6c9867720ed37def47

[ "MIT" ]

null

a = 5 b = 10 def zmien(a,b): c = a a = b b = c print("a:",a) print("b:",b) print("a:",a) print("b:",b) zmien(a,b)

10.384615

17

0.414815

29

135

1.931034

0.275862

0.107143

0.25

0.428571

0.5

0

0.032609

0.318519

135

13

18

10.384615

0.576087

0

0.363636

0

0.058824

0

1

0.090909

false

0

0.090909

0.363636

1

0

1

null

0

1

0

null

0

4

e95496495c731fb3366b8f85294ae70dda3a9e5e

123

py

Python

AtCoder/ABC/B/page-12/067B.py

Nishi05/Competitive-programming

e59a6755b706d9d5c1f359f4511d92c114e6a94e

[ "MIT" ]

null

AtCoder/ABC/B/page-12/067B.py

Nishi05/Competitive-programming

e59a6755b706d9d5c1f359f4511d92c114e6a94e

[ "MIT" ]

null

AtCoder/ABC/B/page-12/067B.py

Nishi05/Competitive-programming

e59a6755b706d9d5c1f359f4511d92c114e6a94e

[ "MIT" ]

null

n, k = map(int, input().split()) n_lst = list(map(int, input().split())) n_lst.sort(reverse=True) print(sum(n_lst[:k]))

15.375

39

0.626016

23

123

3.217391

0.565217

0.162162

0.297297

0.432432

0.540541

0

0.113821

123

7

40

17.571429

0.678899

0

1

0

false

0

0.25

1

0

null

0

1

0

1

0

null

0

4

e957fd39b4da045e2b6c4b37c6fd03b98093f7c0

79

py

Python

argulib/__init__.py

roman-kutlak/argulib

97670e5c64e49de1fe3a344fdface9bc74559cfa

[ "MIT" ]

null

argulib/__init__.py

roman-kutlak/argulib

97670e5c64e49de1fe3a344fdface9bc74559cfa

[ "MIT" ]

null

argulib/__init__.py

roman-kutlak/argulib

97670e5c64e49de1fe3a344fdface9bc74559cfa

[ "MIT" ]

null

import logging logging.getLogger('argulib').addHandler(logging.NullHandler())

19.75

62

0.810127

8

79

8

0.75

0

0.050633

79

3

63

26.333333

0.853333

0

0.088608

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

75aa9f8278cf8e9fee16630a8afb6dea69b862b8

1,199

py

Python

graphene_linked_events/utils.py

City-of-Helsinki/palvelutarjotin

4ad67cbf4062832aba8080cb96ac785bdbbe9aa8

[ "MIT" ]

2

2020-11-10T16:31:26.000Z

2021-02-19T10:33:27.000Z

graphene_linked_events/utils.py

City-of-Helsinki/palvelutarjotin

4ad67cbf4062832aba8080cb96ac785bdbbe9aa8

[ "MIT" ]

239

2020-04-23T07:36:17.000Z

2022-03-15T08:38:38.000Z

graphene_linked_events/utils.py

City-of-Helsinki/palvelutarjotin

4ad67cbf4062832aba8080cb96ac785bdbbe9aa8

[ "MIT" ]

null

# https://stackoverflow.com/questions/6578986/how-to-convert-json-data # -into-a-python-object/15882054#15882054 import json from collections import namedtuple from django.conf import settings from graphene_linked_events.rest_client import LinkedEventsApiClient api_client = LinkedEventsApiClient(config=settings.LINKED_EVENTS_API_CONFIG) def format_response(response): # Some fields from api have @prefix that need to be converted return response.text.replace("@", "internal_") def json_object_hook(d): return namedtuple("X", d.keys())(*d.values()) def json2obj(data): return json.loads(data, object_hook=json_object_hook) def format_request(request): # TODO: Find better way to replace internal_id key return json.dumps(request).replace("internal_", "@") def retrieve_linked_events_data(resource, resource_id, params=None, is_staff=False): response = api_client.retrieve( resource, resource_id, params=params, is_staff=is_staff ) return json2obj(format_response(response)) def get_keyword_set_by_id(keyword_set_id): params = {"include": "keywords"} return retrieve_linked_events_data("keyword_set", keyword_set_id, params=params,)

29.975

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5.45679

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0.054299

0.049774

0.054299

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0.023901

0.127606

1,199

39

86

30.74359

0.821224

0.18015

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0.048106

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false

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0.190476

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0

null

0

null

0

1

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1

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1

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4

75c3521099c345642b5b87e426739510e6268e33

30

py

Python

modules/2.79/bpy/types/MovieTracking.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/MovieTracking.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/MovieTracking.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

MovieTracking.tracks = None

7.5

27

0.766667

3

30

7.666667

1

0

0.166667

30

3

28

10

0.92

0

1

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true

0

1

0

null

0

1

0

null

0

1

0

4

75d200679c2f9199125b9ff7b2b3b3afd4a36b76

563

py

Python

team_9/cocos/cocos/utils.py

Donnyvdm/dojo19

3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400

[ "BSD-3-Clause" ]

1

2019-09-15T18:59:49.000Z

team_9/cocos/cocos/utils.py

Donnyvdm/dojo19

3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400

[ "BSD-3-Clause" ]

null

team_9/cocos/cocos/utils.py

Donnyvdm/dojo19

3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400

[ "BSD-3-Clause" ]

null

"""original code moved to cocos.scenes.sequences""" from __future__ import division, print_function, unicode_literals __docformat__ = 'restructuredtext' import warnings from cocos.scenes.sequences import SequenceScene as SQ class SequenceScene(SQ): """moved to cocos.scenes.sequences""" def __init__(self, *scenes): warnings.warn('SequenceScene was moved from cocos.utils to cocos.scenes.sequences; ' 'The cocos.utils module will be removed in later cocos releases') super(SequenceScene, self).__init__(*scenes)

33.117647

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563

16

93

35.1875

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0

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null

0

1

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1

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4

2f03fd79789d5fe13759fb64e3e680f7975a7f13

124

py

Python

CursoIntensivoPython/curso-intensivo-python-master/capitulo_07/exercicios/automoveis.py

SweydAbdul/estudos-python

b052708d0566a0afb9a1c04d035467d45f820879

[ "MIT" ]

null

CursoIntensivoPython/curso-intensivo-python-master/capitulo_07/exercicios/automoveis.py

SweydAbdul/estudos-python

b052708d0566a0afb9a1c04d035467d45f820879

[ "MIT" ]

null

CursoIntensivoPython/curso-intensivo-python-master/capitulo_07/exercicios/automoveis.py

SweydAbdul/estudos-python

b052708d0566a0afb9a1c04d035467d45f820879

[ "MIT" ]

null

carro = str(input('Que tipo de imagem você gostaria de alugar? ')) print(f'\nDeixe me ver se consigo um {carro} pra você.')

41.333333

66

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124

4

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0

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124

2

67

62

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0

0.725806

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1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

4

f9362625467a2cc119b26e539b7f8b8c6733e17e

187

py

Python

popmemes/backend/popmemes/admin.py

hangulu/twitter

e4461652d35fc6d547e93f364b56c1a1637c5547

[ "MIT" ]

null

popmemes/backend/popmemes/admin.py

hangulu/twitter

e4461652d35fc6d547e93f364b56c1a1637c5547

[ "MIT" ]

7

2019-12-29T08:23:25.000Z

2022-02-26T14:04:51.000Z

popmemes/backend/popmemes/admin.py

hangulu/twitter

e4461652d35fc6d547e93f364b56c1a1637c5547

[ "MIT" ]

null

from django.contrib import admin from .models import PopImage class MemeAdmin(admin.ModelAdmin): list_display = ('user', 'pop_img', 'freq') admin.site.register(PopImage, MemeAdmin)

23.375

46

0.759358

24

187

5.833333

0.75

0

0.122995

187

7

47

26.714286

0.853659

0

0.080214

0

1

0

false

0

0.4

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null

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0

4

f94746195cd8975b1f309d66aa07c22c93c0490c

5,517

py

Python

internetradio/src/InternetRadioInformationScreen.py

Mariusz1970/enigma2-plugins-1

126d31d075c156f32b09d4321ebe1a17f93a5bd6

[ "OLDAP-2.3" ]

1

2020-01-27T22:53:56.000Z

internetradio/src/InternetRadioInformationScreen.py

Mariusz1970/enigma2-plugins-1

126d31d075c156f32b09d4321ebe1a17f93a5bd6

[ "OLDAP-2.3" ]

null

internetradio/src/InternetRadioInformationScreen.py

Mariusz1970/enigma2-plugins-1

126d31d075c156f32b09d4321ebe1a17f93a5bd6

[ "OLDAP-2.3" ]

11

2015-02-26T20:59:14.000Z

2021-09-20T08:23:03.000Z

# # InternetRadio E2 # # Coded by Dr.Best (c) 2012 # Support: www.dreambox-tools.info # E-Mail: dr.best@dreambox-tools.info # # This plugin is open source but it is NOT free software. # # This plugin may only be distributed to and executed on hardware which # is licensed by Dream Multimedia GmbH. # In other words: # It's NOT allowed to distribute any parts of this plugin or its source code in ANY way # to hardware which is NOT licensed by Dream Multimedia GmbH. # It's NOT allowed to execute this plugin and its source code or even parts of it in ANY way # on hardware which is NOT licensed by Dream Multimedia GmbH. # # If you want to use or modify the code or parts of it, # you have to keep MY license and inform me about the modifications by mail. # from Screens.Screen import Screen from Components.ActionMap import ActionMap from Components.Label import Label from Components.ScrollLabel import ScrollLabel from Components.Sources.StaticText import StaticText from enigma import getDesktop class InternetRadioInformationScreen(Screen): sz_w = getDesktop(0).size().width() if sz_w == 1280: skin = """ <screen name="InternetRadioInformationScreen" position="0,0" size="1280,720" flags="wfNoBorder" backgroundColor="#00000000" title="Streaming Information"> <ePixmap position="50,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/red.png" transparent="1" alphatest="on" /> <ePixmap position="200,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/green.png" transparent="1" alphatest="on" /> <ePixmap position="350,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/yellow.png" transparent="1" alphatest="on" /> <ePixmap position="500,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/blue.png" transparent="1" alphatest="on" /> <widget render="Label" source="key_red" position="50,30" size="140,40" zPosition="5" valign="center" halign="center" backgroundColor="red" font="Regular;21" transparent="1" foregroundColor="white" shadowColor="black" shadowOffset="-1,-1" /> <widget render="Label" source="headertext" position="50,77" zPosition="1" size="1180,26" font="Regular;22" transparent="1" foregroundColor="#fcc000" backgroundColor="#00000000"/> <widget name="text" position="50,120" size="1180,550" font="Regular;20" transparent="1" backgroundColor="#00000000" /> </screen>""" elif sz_w == 1024: skin = """ <screen name="InternetRadioInformationScreen" position="0,0" size="1024,576" flags="wfNoBorder" backgroundColor="#00000000" title="Streaming Information"> <ePixmap position="50,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/red.png" transparent="1" alphatest="on" /> <ePixmap position="200,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/green.png" transparent="1" alphatest="on" /> <ePixmap position="350,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/yellow.png" transparent="1" alphatest="on" /> <ePixmap position="500,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/blue.png" transparent="1" alphatest="on" /> <widget render="Label" source="key_red" position="50,30" size="140,40" zPosition="5" valign="center" halign="center" backgroundColor="red" font="Regular;21" transparent="1" foregroundColor="white" shadowColor="black" shadowOffset="-1,-1" /> <widget render="Label" source="headertext" position="50,77" zPosition="1" size="620,26" font="Regular;22" transparent="1" foregroundColor="#fcc000" backgroundColor="#00000000"/> <widget name="text" position="50,120" size="620,406" font="Regular;20" transparent="1" foregroundColor="#fcc000" backgroundColor="#00000000" /> </screen>""" else: skin = """ <screen name="InternetRadioInformationScreen" position="0,0" size="720,576" flags="wfNoBorder" backgroundColor="#00000000" title="Streaming Information"> <ePixmap position="50,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/red.png" transparent="1" alphatest="on" /> <ePixmap position="210,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/green.png" transparent="1" alphatest="on" /> <ePixmap position="370,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/yellow.png" transparent="1" alphatest="on" /> <ePixmap position="530,30" zPosition="4" size="140,40" pixmap="skin_default/buttons/blue.png" transparent="1" alphatest="on" /> <widget render="Label" source="key_red" position="50,30" size="140,40" zPosition="5" valign="center" halign="center" backgroundColor="red" font="Regular;21" transparent="1" foregroundColor="white" shadowColor="black" shadowOffset="-1,-1" /> <widget render="Label" source="headertext" position="50,77" zPosition="1" size="620,26" font="Regular;22" transparent="1" foregroundColor="#fcc000" backgroundColor="#00000000"/> <widget name="text" position="50,120" size="620,406" font="Regular;20" transparent="1" backgroundColor="#00000000" /> </screen>""" def __init__(self, session, meta): Screen.__init__(self, session) self["key_red"] = StaticText(_("Close")) self["headertext"] = StaticText(_("Streaming Information")) self["text"] = ScrollLabel(meta) self["actions"] = ActionMap(["WizardActions", "DirectionActions", "ColorActions", "EPGSelectActions", "InfobarActions"], { "ok": self.close, "back": self.close, "red": self.close, "upUp": self.pageUp, "downUp": self.pageDown, }, -1) def pageUp(self): self["text"].pageUp() def pageDown(self): self["text"].pageDown()

64.151163

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0

1

0

1

0

1

0

null

0

4

f9537a3632109c69f580c27f31bfed88043b1e50

1,035

py

Python

archive/models.py

emawind84/rrwebtv

ae22cd39ea430aed0de2b852e40c309465a7237b

[ "MIT" ]

null

archive/models.py

emawind84/rrwebtv

ae22cd39ea430aed0de2b852e40c309465a7237b

[ "MIT" ]

2

2020-06-05T20:13:36.000Z

2021-06-10T21:18:43.000Z

archive/models.py

emawind84/rrwebtv

ae22cd39ea430aed0de2b852e40c309465a7237b

[ "MIT" ]

null

from django.db import models from uploads.core.models import Replay class Performance(models.Model): note = models.CharField(max_length=255, blank=True) pilot = models.CharField(max_length=200, blank=True) team = models.CharField(max_length=200, blank=True) rally = models.CharField(max_length=200, blank=True) track = models.CharField(max_length=200, blank=False) stage_number = models.CharField(max_length=200, blank=True) car = models.CharField(max_length=200, blank=True) category = models.CharField(max_length=200, blank=True) time = models.CharField(max_length=200, blank=True) youtube_id = models.CharField(max_length=200, blank=False) uploaded_at = models.DateTimeField(auto_now_add=True) featured = models.BooleanField(default=False) replay = models.OneToOneField(Replay, on_delete=models.CASCADE, blank=True, null=True) def __str__(self): return '{} - {}'.format(self.uploaded_at, self.track) class Meta: ordering = ('-featured', '-uploaded_at',)

45

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0.95

0

null

1

0

null

0

1

0

4

f9dc256fa8fca6e9ddaec5158810ff1d2183ab65

305

py

Python

torch_geometric/graphgym/models/pooling.py

itamblyn/pytorch_geometric

67ed16492863378b8434b03713a75924f0cc5df1

[ "MIT" ]

2

2020-08-06T16:14:15.000Z

2021-11-08T07:33:21.000Z

torch_geometric/graphgym/models/pooling.py

itamblyn/pytorch_geometric

67ed16492863378b8434b03713a75924f0cc5df1

[ "MIT" ]

1

2021-06-05T10:32:22.000Z

torch_geometric/graphgym/models/pooling.py

itamblyn/pytorch_geometric

67ed16492863378b8434b03713a75924f0cc5df1

[ "MIT" ]

null

from torch_geometric.nn import (global_add_pool, global_mean_pool, global_max_pool) from torch_geometric.graphgym.register import register_pooling register_pooling('add', global_add_pool) register_pooling('mean', global_mean_pool) register_pooling('max', global_max_pool)

38.125

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null

0

1

0

1

0

4

f9e851bac151db0e66427be0f6fa7e26edadd035

4,536

py

Python

tests/test_region_bounds.py

fraserw/kbmod

65d69746d1dd8de867f8da147d73c09439d28b41

[ "BSD-2-Clause" ]

16

2018-07-23T11:39:05.000Z

2022-01-27T17:15:42.000Z

tests/test_region_bounds.py

fraserw/kbmod

65d69746d1dd8de867f8da147d73c09439d28b41

[ "BSD-2-Clause" ]

42

2017-06-19T22:55:41.000Z

2018-03-15T02:49:39.000Z

tests/test_region_bounds.py

fraserw/kbmod

65d69746d1dd8de867f8da147d73c09439d28b41

[ "BSD-2-Clause" ]

7

2018-07-23T11:39:04.000Z

2022-01-27T18:43:02.000Z

import unittest from kbmodpy import kbmod as kb class test_region_bounds(unittest.TestCase): def setUp(self): p = kb.psf(1.0) img = kb.layered_image("test", 4, 4, 0.0, 0.0, 0.0) stack = kb.image_stack([img]) self.search = kb.stack_search(stack, p) #def test_biggest_listit(self): # self.assertEqual(self.search.biggest_listit(0,0,10,10,32), 8) # self.assertEqual(self.search.biggest_listit(1,0,10,10,32), 1) # self.assertEqual(self.search.biggest_listit(0,1,10,10,32), 1) # self.assertEqual(self.search.biggest_listit(2,0,10,10,32), 2) # self.assertEqual(self.search.biggest_listit(0,4,10,10,32), 4) # self.assertEqual(self.search.biggest_listit(4,4,10,10,32), 4) # self.assertEqual(self.search.biggest_listit(10,10,50,50,128), 2) # self.assertEqual(self.search.biggest_listit(10,11,64,64,128), 1) # self.assertEqual(self.search.biggest_listit(16,16,64,64,128), 16) # self.assertEqual(self.search.biggest_listit(16,20,64,64,128), 4) # self.assertEqual(self.search.biggest_listit(-150,-100,100,125,1024), 2) # self.assertEqual(self.search.biggest_listit(-64,32,2000,2000,2048), 32) # self.assertEqual(self.search.biggest_listit(8,8,12,17,128), 4) # self.assertEqual(self.search.biggest_listit(8,8,11,16,128), 2) # self.assertEqual(self.search.biggest_listit(-128,192,512,1024,512), 64) def test_square_sdf(self): self.assertEqual(self.search.square_sdf(1.0, 1.5, 1.5, 1.5, 0.5), 0.5) self.assertEqual(self.search.square_sdf(30, 15, 15, 50, 15), 20) self.assertEqual(self.search.square_sdf(2.0, 4.5, 2.5, 4.5, 1.5), 0.0) self.assertLess(self.search.square_sdf(10.0, 10.5, 11.5, 12.5, 11.5), 0.0) self.assertEqual(self.search.square_sdf(1.0, 0.0, 0.0, 0.5, 0.5), 0.0) self.assertEqual(self.search.square_sdf(2.0, 6.0, 6.0, 6.0, 6.0), -1.0) self.assertEqual(self.search.square_sdf(1.0, 1.5, 1.5, 1.5, 0.5), 0.5) def test_listilter_bounds(self): t_list = [] t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 50, 50, 100, 100, 0 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 50, 50, 115, 112, 0 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = -40, 25, 10, 55, 0 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 280, 130, 330, 180, 0 t_list.append(t) # filter trajectories out of search bounds t_list = self.search.filter_bounds(t_list, 10.0, 10.0, 5.0, 10.0) self.assertEqual(len(t_list), 2) self.assertEqual(t_list[0].ix, 50) self.assertEqual(t_list[0].iy, 50) self.assertEqual(t_list[0].fx, 100) self.assertEqual(t_list[0].fy, 100) self.assertEqual(t_list[1].ix, 280) self.assertEqual(t_list[1].iy, 130) self.assertEqual(t_list[1].fx, 330) self.assertEqual(t_list[1].fy, 180) def test_listilter_bounds_depth(self): t_list = [] t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 2, 4, 3, 5, 6 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 0, 0, 0, 0, 8 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 1, 1, -1, -1, 7 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = -40, 125, 20, 194, 0 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 280, 130, 310, 160, 1 t_list.append(t) t = kb.traj_region() t.ix, t.iy, t.fx, t.fy, t.depth = 280, 130, 300, 170, 1 t_list.append(t) # filter trajectories out of search bounds t_list = self.search.filter_bounds(t_list, 32.0, 32.0, 2.0, 16.0) self.assertEqual(len(t_list), 4) self.assertEqual(t_list[0].ix, 2) self.assertEqual(t_list[0].iy, 4) self.assertEqual(t_list[0].fx, 3) self.assertEqual(t_list[0].fy, 5) self.assertEqual(t_list[1].ix, 0) self.assertEqual(t_list[1].iy, 0) self.assertEqual(t_list[1].fx, 0) self.assertEqual(t_list[1].fy, 0) self.assertEqual(t_list[2].ix, -40) self.assertEqual(t_list[2].iy, 125) self.assertEqual(t_list[2].fx, 20) self.assertEqual(t_list[2].fy, 194) self.assertEqual(t_list[3].ix, 280) self.assertEqual(t_list[3].iy, 130) self.assertEqual(t_list[3].fx, 310) self.assertEqual(t_list[3].fy, 160) if __name__ == '__main__': unittest.main()

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1

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1

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1

0

null

0

1

0

4

ddec8634dbd6b284cd81b6a28ce3626140668724

185

py

Python

examples/team/python/__main__.py

stmcallister/pulumi-pagerduty

b2816e19b3243bba646e8e095b475299ad6a7b8f

[ "ECL-2.0", "Apache-2.0" ]

null

examples/team/python/__main__.py

stmcallister/pulumi-pagerduty

b2816e19b3243bba646e8e095b475299ad6a7b8f

[ "ECL-2.0", "Apache-2.0" ]

null

examples/team/python/__main__.py

stmcallister/pulumi-pagerduty

b2816e19b3243bba646e8e095b475299ad6a7b8f

[ "ECL-2.0", "Apache-2.0" ]

null

import pulumi import pulumi_pagerduty as pagerduty team = pagerduty.Team("demo-team-py", description="Generated from examples") pulumi.export("name", team.name)

23.125

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null

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4

fb363185c504083eb84bd2fba7750a3e5af0fb2a

183

py

Python

happypandax_client/__init__.py

happypandax/py-client

30c4c8b628a96f8fef68a9cd8da01038a55ad792

[ "MIT" ]

3

2019-05-19T16:53:29.000Z

2020-06-25T16:01:15.000Z

happypandax_client/__init__.py

happypandax/py-client

30c4c8b628a96f8fef68a9cd8da01038a55ad792

[ "MIT" ]

null

happypandax_client/__init__.py

happypandax/py-client

30c4c8b628a96f8fef68a9cd8da01038a55ad792

[ "MIT" ]

null

from . import client, exceptions from .client import * from .exceptions import * __all__ = ['client', 'exceptions'] __all__.extend(client.__all__) __all__.extend(exceptions.__all__)

22.875

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0

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183

8

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22.875

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null

1

0

1

0

null

0

1

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4

348e97dd8fde84e254a03145d898fd7af609c168

101

py

Python

twilioHandler/apps.py

slow-and-serious/caller-app

dbc4f82007f8f7d97905ca9c5f4cfcba27136f09

[ "MIT" ]

null

twilioHandler/apps.py

slow-and-serious/caller-app

dbc4f82007f8f7d97905ca9c5f4cfcba27136f09

[ "MIT" ]

13

2020-10-24T20:03:59.000Z

2020-11-03T19:22:22.000Z

twilioHandler/apps.py

slow-and-serious/caller-app

dbc4f82007f8f7d97905ca9c5f4cfcba27136f09

[ "MIT" ]

null

from django.apps import AppConfig class TwiliohandlerConfig(AppConfig): name = 'twilioHandler'

16.833333

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null

0

1

0

1

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4

34a6a4292994bd61ad9b84318987de889ea02799

900

py

Python

npc/gui/commands.py

Arent128/npc

c8a1e227a1d4d7c540c4f4427b611ffc290535ee

[ "MIT" ]

null

npc/gui/commands.py

Arent128/npc

c8a1e227a1d4d7c540c4f4427b611ffc290535ee

[ "MIT" ]

null

npc/gui/commands.py

Arent128/npc

c8a1e227a1d4d7c540c4f4427b611ffc290535ee

[ "MIT" ]

null

""" GUI command functions These functions are a facade on top of the npc library. Designed to be run from the GUI. """ from npc import commands, util def init(**kwargs): return commands.init(**kwargs) def open_settings(*args, **kwargs): return commands.open_settings(*args, **kwargs) def find_characters(*args): return commands.find_characters(*args) def create_standard(kwargs): serial_args, keyword_args = util.serialize_args('name', 'ctype', **kwargs) return commands.create_character.standard(*serial_args, **keyword_args) def create_changeling(kwargs): serial_args, keyword_args = util.serialize_args('name', 'seeming', 'kith', **kwargs) return commands.create_character.changeling(*serial_args, **keyword_args) def session(**kwargs): return commands.story.session(**kwargs) def latest(*args, **kwargs): return commands.story.latest(*args, **kwargs)

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null

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1

0

1

0

4

34aa0b0a9ed4fcc00f541bf06ce5f3e785b6b2bf

88

py

Python

chronos/config.py

LanzLagman/chronos

3c7e32e7bd8ed85d442ce3ecbf4c9a5272e8e470

[ "MIT" ]

null

chronos/config.py

LanzLagman/chronos

3c7e32e7bd8ed85d442ce3ecbf4c9a5272e8e470

[ "MIT" ]

null

chronos/config.py

LanzLagman/chronos

3c7e32e7bd8ed85d442ce3ecbf4c9a5272e8e470

[ "MIT" ]

null

import pkg_resources DATA_PATH = pkg_resources.resource_filename("chronos", "../data")

22

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null

1

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1

0

null

0

1

0

4

34b6f45658936d3a8e450ee07b38f76cb1f64fb5

205

py

Python

wingsdemo/lambda_function.py

irlrobot/wingsdemolambda

f6983cf724e3f6c7beb1aeab12acbf834d31eb4f

[ "MIT" ]

null

wingsdemo/lambda_function.py

irlrobot/wingsdemolambda

f6983cf724e3f6c7beb1aeab12acbf834d31eb4f

[ "MIT" ]

null

wingsdemo/lambda_function.py

irlrobot/wingsdemolambda

f6983cf724e3f6c7beb1aeab12acbf834d31eb4f

[ "MIT" ]

null

#!/usr/bin/env python3 def handler(event, context): print("Hello World!") print("=====Event=====") print("{}".format(event)) print("=====Context=====") print("{}".format(context))

22.777778

31

0.531707

21

205

5.190476

0.571429

0.220183

0

0.005917

0.17561

205

9

32

22.777778

0.639053

0.102439

0

0.26087

0

1

0.166667

false

0

0.166667

0.833333

1

0

null

1

0

1

0

null

0

1

0

4

34e085c915db0544cc6f7a0cf55ed528420332b0

1,545

py

Python

tests/test_pressure_atmospheres.py

putridparrot/PyUnits

4f1095c6fc0bee6ba936921c391913dbefd9307c

[ "MIT" ]

null

tests/test_pressure_atmospheres.py

putridparrot/PyUnits

4f1095c6fc0bee6ba936921c391913dbefd9307c

[ "MIT" ]

null

tests/test_pressure_atmospheres.py

putridparrot/PyUnits

4f1095c6fc0bee6ba936921c391913dbefd9307c

[ "MIT" ]

null

# <auto-generated> # This code was generated by the UnitCodeGenerator tool # # Changes to this file will be lost if the code is regenerated # </auto-generated> import unittest import units.pressure.atmospheres class TestAtmospheresMethods(unittest.TestCase): def test_convert_known_atmospheres_to_bars(self): self.assertAlmostEqual(6.0795, units.pressure.atmospheres.to_bars(6.0), places=1) self.assertAlmostEqual(1.2159, units.pressure.atmospheres.to_bars(1.2), places=1) self.assertAlmostEqual(0.8106, units.pressure.atmospheres.to_bars(0.8), places=1) def test_convert_known_atmospheres_to_pascals(self): self.assertAlmostEqual(81060.0, units.pressure.atmospheres.to_pascals(0.8), places=1) self.assertAlmostEqual(121590.0, units.pressure.atmospheres.to_pascals(1.2), places=1) self.assertAlmostEqual(45596.25, units.pressure.atmospheres.to_pascals(0.45), places=1) def test_convert_known_atmospheres_to_torrs(self): self.assertAlmostEqual(342.0, units.pressure.atmospheres.to_torrs(0.45), places=1) self.assertAlmostEqual(912.0, units.pressure.atmospheres.to_torrs(1.2), places=1) self.assertAlmostEqual(4560.0, units.pressure.atmospheres.to_torrs(6.0), places=1) def test_convert_known_atmospheres_to_psi(self): self.assertAlmostEqual(88.1757, units.pressure.atmospheres.to_psi(6.0), places=1) self.assertAlmostEqual(5.87838, units.pressure.atmospheres.to_psi(0.4), places=1) self.assertAlmostEqual(17.6351, units.pressure.atmospheres.to_psi(1.2), places=1) if __name__ == '__main__': unittest.main()

45.441176

89

0.796117

227

1,545

5.242291

0.273128

0.17479

0.262185

0.567227

0.418487

0.098319

0

0.073034

0.078317

1,545

33

90

46.818182

0.76264

0.09644

0

1

0

0.005755

0

0.571429

1

0.190476

false

0

0.095238

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

4

34f2a15eb427ebd032f641a92f5cc080e694acbd

663

py

Python

shardingpy/api/algorithm/masterslave/factory.py

hongfuli/sharding-py

a26a64aa9d9196c830e7e2fa4095a58bef608a40

[ "Apache-2.0" ]

1

2021-01-29T13:29:29.000Z

shardingpy/api/algorithm/masterslave/factory.py

hongfuli/sharding-py

a26a64aa9d9196c830e7e2fa4095a58bef608a40

[ "Apache-2.0" ]

null

shardingpy/api/algorithm/masterslave/factory.py

hongfuli/sharding-py

a26a64aa9d9196c830e7e2fa4095a58bef608a40

[ "Apache-2.0" ]

null

from shardingpy.api.algorithm.masterslave.base import MasterSlaveLoadBalanceAlgorithmType from shardingpy.api.algorithm.masterslave.impl import RandomMasterSlaveLoadBalanceAlgorithm, \ RoundRobinMasterSlaveLoadBalanceAlgorithm def get_master_slave_load_balance_algorithm_by_type(algorithm_type): assert isinstance(algorithm_type, MasterSlaveLoadBalanceAlgorithmType) return RandomMasterSlaveLoadBalanceAlgorithm() if algorithm_type == MasterSlaveLoadBalanceAlgorithmType.RANDOM \ else RoundRobinMasterSlaveLoadBalanceAlgorithm() def get_default_master_slave_load_balance_algorithm(): return RoundRobinMasterSlaveLoadBalanceAlgorithm()

47.357143

116

0.871795

52

663

10.807692

0.5

0.069395

0.060498

0.092527

0.241993

0

0.084465

663

13

117

51

0.925865

0

0.111111

1

0.222222

false

0

0.222222

0.111111

0.666667

0

1

null

0

null

0

1

0

1

0

4

34f4ee4ed72617aa0962ab1bb2e91e8fdc8b111c

195

py

Python

numpie4.py

restlessankyyy/Python

c46ea72cda782ce21738e4792c436637b66d12a8

[ "bzip2-1.0.6" ]

null

numpie4.py

restlessankyyy/Python

c46ea72cda782ce21738e4792c436637b66d12a8

[ "bzip2-1.0.6" ]

null

numpie4.py

restlessankyyy/Python

c46ea72cda782ce21738e4792c436637b66d12a8

[ "bzip2-1.0.6" ]

null

import numpy as np dataset = np.random.random((2,3)) print dataset print dataset.max() #print dataset.max(1) print dataset.max(axis=0) print np.reshape(dataset,(3,2)) print dataset

16.25

34

0.697436

32

195

4.25

0.4375

0.441176

0.330882

0

0.037037

0.169231

195

11

35

17.727273

0.802469

0.102564

0

0.285714

0

null

0

0.142857

null

0.714286

0

null

1

0

null

0

1

0

1

0

4

551a3de712702d12338f2e94f11b3e273d9e8e41

87

py

Python

app/recipe/apps.py

kimuson13/recipi-app-api

4ed3fec9470a03bf5b409bab9dace7a3e9bcf7c5

[ "MIT" ]

null

app/recipe/apps.py

kimuson13/recipi-app-api

4ed3fec9470a03bf5b409bab9dace7a3e9bcf7c5

[ "MIT" ]

null

app/recipe/apps.py

kimuson13/recipi-app-api

4ed3fec9470a03bf5b409bab9dace7a3e9bcf7c5

[ "MIT" ]

null

from django.apps import AppConfig class RecipiConfig(AppConfig): name = 'recipe'

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

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null

0

1

0

null

0

1

0

1

0

4

9b43d7888ffd7ff1bf33d20ab5301bf83f418b0a

3,573

py

Python

src/number_islands.py

diegoinacio/interview-challenges

a1c182bf4708a011f97aefa91636e99156ca1c98

[ "MIT" ]

1

2020-02-20T15:05:16.000Z

src/number_islands.py

diegoinacio/interview-challenges

a1c182bf4708a011f97aefa91636e99156ca1c98

[ "MIT" ]

null

src/number_islands.py

diegoinacio/interview-challenges

a1c182bf4708a011f97aefa91636e99156ca1c98

[ "MIT" ]

null

# ! Problem # * 4-connected neighborhood # 0 1 0 # \ | / # 1 - ? - 1 # / | \ # 0 1 0 # * 8-connected neighborhood # 1 1 1 # \ | / # 1 - ? - 1 # / | \ # 1 1 1 # ? Function Description # Return number of islands for each situation. # - 4-connected neighborhood does not consider diagonals # - 8-connected neighborhood considers diagonals as adjacent from typing import List, Tuple def _valid_neighborhood(grid, labels, s, t, M, N): # Check if current member of neighborhood is valid if (s or t) < 0: return None if (s >= M) or (t >= N): return None if labels[s][t]: return None if grid[s][t] <= 0: labels[s][t] = -1 return None return (s, t) def numIslandsC4(grid: List[int]) -> int: ''' Define number of island given the 4-connected neighborhood ''' islands = 0 M, N = len(grid), len(grid[0]) # 4-connected neighborhood offset connected_4 = [(1, 0), (0, 1), (-1, 0), (0, -1)] # Matrix of labels labels = [[0 for _ in range(M)] for _ in range(N)] for m in range(M): for n in range(N): if labels[m][n]: # Ignore visited positions continue if not grid[m][n]: # Ignore invalid positions (p == 0) # and mark its labels as -1 labels[m][n] = -1 continue islands += 1 connected = [(m, n)] # Init scan from the current position for (s, t) in connected: neighborhood = set([None, *connected]) # Search for valid neighbors neighborhood |= {*[_valid_neighborhood( grid, labels, s + u, t + v, M, N ) for (u, v) in connected_4]} neighborhood.remove(None) # Include valid neighbors to the current scan connected += list([v for v in neighborhood if v not in connected]) # Add island label to the position [s, t] labels[s][t] = islands return islands def numIslandsC8(grid: List[int]) -> int: ''' Define number of island given the 8-connected neighborhood ''' islands = 0 M, N = len(grid), len(grid[0]) # 8-connected neighborhood offset connected_8 = [ (1 , -1), (1 , 0), ( 1, 1), (0 , -1), ( 0, 1), (-1, -1), (-1, 0), (-1, 1) ] # Matrix of labels labels = [[0 for _ in range(M)] for _ in range(N)] for m in range(M): for n in range(N): if labels[m][n]: # Ignore visited positions continue if not grid[m][n]: # Ignore invalid positions (p == 0) # and mark its labels as -1 labels[m][n] = -1 continue islands += 1 connected = [(m, n)] # Init scan from the current position for (s, t) in connected: neighborhood = set([None, *connected]) # Search for valid neighbors neighborhood |= {*[_valid_neighborhood( grid, labels, s + u, t + v, M, N ) for (u, v) in connected_8]} neighborhood.remove(None) # Include valid neighbors to the current scan connected += list([v for v in neighborhood if v not in connected]) # Add island label to the position [s, t] labels[s][t] = islands return islands

30.801724

82

0.496502

445

3,573

3.955056

0.173034

0.018182

0.015341

0.013636

0.725568

0.708523

0.704545

0.692045

0

0.032629

0.390988

3,573

115

83

31.069565

0.776195

0.298629

0

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0

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0.048387

false

0

0.016129

0

0.177419

0

null

0

1

0

1

0

1

0

null

0

4

9b55941687dc422d9266381999b8f4e932372289

81

py

Python

tests/system/runtimes/assets/function-with-catcher.py

Hedingber/mlrun

e2269718fcc7caa7e1aa379ac28495830b45f9da

[ "Apache-2.0" ]

1

2021-02-17T08:12:33.000Z

tests/system/runtimes/assets/function-with-catcher.py

Hedingber/mlrun

e2269718fcc7caa7e1aa379ac28495830b45f9da

[ "Apache-2.0" ]

null

tests/system/runtimes/assets/function-with-catcher.py

Hedingber/mlrun

e2269718fcc7caa7e1aa379ac28495830b45f9da

[ "Apache-2.0" ]

1

2021-08-30T21:43:38.000Z

def inc(x): return x + 1 def catcher(event): print(event.origin_state)

11.571429

29

0.641975

13

81

3.923077

0.769231

0

0.016129

0.234568

81

6

30

13.5

0.806452

0

1

0.5

false

0

0.25

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

4

9b760facd461f0e4b91d26677ee4d6ac6aa569cb

8,393

py

Python

tests.py

Crozzers/w2n2w

b05533bd29faebe4ab48012ef6437f7e984113af

[ "MIT" ]

null

tests.py

Crozzers/w2n2w

b05533bd29faebe4ab48012ef6437f7e984113af

[ "MIT" ]

null

tests.py

Crozzers/w2n2w

b05533bd29faebe4ab48012ef6437f7e984113af

[ "MIT" ]

null

import unittest import w2n2w class TestWordToNumber(unittest.TestCase): def test_positives(self): self.assertEqual(w2n2w.word_to_num("two million three thousand nine hundred and eighty four"), 2003984) self.assertEqual(w2n2w.word_to_num("one hundred and twenty three million four hundred and fifty six thousand seven hundred and eighty nine"), 123456789) self.assertEqual(w2n2w.word_to_num("nineteen"), 19) self.assertEqual(w2n2w.word_to_num("two thousand and nineteen"), 2019) self.assertEqual(w2n2w.word_to_num("two million three thousand and nineteen"), 2003019) self.assertEqual(w2n2w.word_to_num('three billion'), 3000000000) self.assertAlmostEqual(w2n2w.word_to_num('three billionths'), 3 / 10**9) # rounding error caused by floats or something idk self.assertEqual(w2n2w.word_to_num('three million'), 3000000) self.assertEqual(w2n2w.word_to_num('three millionths'), 3 / 10**6) self.assertEqual(w2n2w.word_to_num('one hundred twenty three million four hundred fifty six thousand seven hundred and eighty nine'), 123456789) self.assertEqual(w2n2w.word_to_num('eleven'), 11) self.assertEqual(w2n2w.word_to_num('nineteen billion and nineteen'), 19000000019) self.assertEqual(w2n2w.word_to_num('one hundred and forty two'), 142) self.assertEqual(w2n2w.word_to_num('112'), 112) self.assertEqual(w2n2w.word_to_num('11211234'), 11211234) self.assertEqual(w2n2w.word_to_num('five'), 5) self.assertEqual(w2n2w.word_to_num('two million twenty three thousand and forty nine'), 2023049) self.assertEqual(w2n2w.word_to_num('two point three'), 2.3) self.assertEqual(w2n2w.word_to_num('two million twenty three thousand and forty nine point two three six nine'), 2023049.2369) self.assertEqual(w2n2w.word_to_num('one billion two million twenty three thousand and forty nine point two three six nine'), 1002023049.2369) self.assertEqual(w2n2w.word_to_num('point one'), 0.1) self.assertEqual(w2n2w.word_to_num('one hundred thirty-five'), 135) self.assertEqual(w2n2w.word_to_num('hundred'), 100) self.assertEqual(w2n2w.word_to_num('thousand'), 1000) self.assertEqual(w2n2w.word_to_num('million'), 1000000) self.assertEqual(w2n2w.word_to_num('billion'), 1000000000) self.assertEqual(w2n2w.word_to_num('nine point nine nine nine'), 9.999) self.assertEqual(w2n2w.word_to_num('minus twenty-two point two six'), -22.26) self.assertEqual(w2n2w.word_to_num('negative ninety nine'), -99) self.assertEqual(w2n2w.word_to_num('negative zero'), 0) self.assertEqual(w2n2w.word_to_num('one octillion four hundred and sixty three trillion and nine'), 10**27 + (463 * 10**12) + 9) self.assertEqual(w2n2w.word_to_num('one million decillion'), 10**6 * 10**33) self.assertEqual(w2n2w.word_to_num('seventy first'), 71) self.assertEqual(w2n2w.word_to_num('hundredth'), 100) self.assertEqual(w2n2w.word_to_num('one hundredth'), 1 / 100) self.assertEqual(w2n2w.word_to_num('millionth'), 10**6) self.assertEqual(w2n2w.word_to_num('one millionth'), 1 / (10**6)) self.assertEqual(w2n2w.word_to_num('million hundred thousand three hundred and ninety second'), 1_100_392) self.assertEqual(w2n2w.word_to_num('minus one hundred and thirty first'), -131) self.assertEqual(w2n2w.word_to_num('seventy first point 5'), 71.5) self.assertEqual(w2n2w.word_to_num('one half'), .5) self.assertEqual(w2n2w.word_to_num('two half'), 1) self.assertEqual(w2n2w.word_to_num('five halves'), 2.5) self.assertEqual(w2n2w.word_to_num('one halves'), .5) self.assertEqual(w2n2w.word_to_num('half a million and a third'), 500_000 + (1 / 3)) self.assertEqual(w2n2w.word_to_num('a seventeenth of sixty two'), 62 / 17) self.assertEqual(w2n2w.word_to_num('a seventeenth of sixty two and two thirds'), (62 + (2 / 3)) / 17) self.assertEqual(w2n2w.word_to_num('three thirds of ten'), 10) def test_negatives(self): self.assertRaises(ValueError, w2n2w.word_to_num, '-') self.assertRaises(ValueError, w2n2w.word_to_num, 'on') self.assertRaises(ValueError, w2n2w.word_to_num, 'point') # self.assertRaises(ValueError, w2n2w.word_to_num, 'million four million') # I'm not sure what to do with this ^ so I'll come back to it self.assertRaises(ValueError, w2n2w.word_to_num, 'one billion point two million twenty three thousand and forty nine point two three six nine') self.assertRaises(TypeError, w2n2w.word_to_num, 112) class TestNumberToWord(unittest.TestCase): def test_positives(self): self.assertEqual(w2n2w.num_to_word(2_003_984), "two million three thousand nine hundred and eighty four") self.assertEqual(w2n2w.num_to_word(19), "nineteen") self.assertEqual(w2n2w.num_to_word(2019), "two thousand and nineteen") self.assertEqual(w2n2w.num_to_word(2_003_019), "two million three thousand and nineteen") self.assertEqual(w2n2w.num_to_word(3_000_000_000), "three billion") self.assertEqual(w2n2w.num_to_word(3_000_000), "three million") self.assertEqual(w2n2w.num_to_word(123456789), "one hundred and twenty three million four hundred and fifty six thousand seven hundred and eighty nine") self.assertEqual(w2n2w.num_to_word(11), "eleven") self.assertEqual(w2n2w.num_to_word(19_000_000_019), "nineteen billion and nineteen") self.assertEqual(w2n2w.num_to_word(142), "one hundred and forty two") self.assertEqual(w2n2w.num_to_word(112), "one hundred and twelve") self.assertEqual(w2n2w.num_to_word(11_211_234), "eleven million two hundred and eleven thousand two hundred and thirty four") self.assertEqual(w2n2w.num_to_word(5), "five") self.assertEqual(w2n2w.num_to_word(2_023_049), "two million twenty three thousand and forty nine") self.assertEqual(w2n2w.num_to_word(2.3), "two point three") self.assertEqual(w2n2w.num_to_word(-2023049.2369), "negative two million twenty three thousand and forty nine point two three six nine") self.assertEqual(w2n2w.num_to_word(1002023049.2369), "one billion two million twenty three thousand and forty nine point two three six nine") self.assertEqual(w2n2w.num_to_word(0.1, prefer_fraction_words=False), "zero point one") self.assertEqual(w2n2w.num_to_word(0.1, prefer_fraction_words=True), "one tenth") self.assertEqual(w2n2w.num_to_word(0), "zero") self.assertEqual(w2n2w.num_to_word(100), "hundred") self.assertEqual(w2n2w.num_to_word(1_000), "thousand") self.assertEqual(w2n2w.num_to_word(1_000_000), "million") self.assertEqual(w2n2w.num_to_word(1_000_000_000), "billion") self.assertEqual(w2n2w.num_to_word(1_000_000_000_000), "trillion") self.assertEqual(w2n2w.num_to_word(-9.999), "negative nine point nine nine nine") self.assertEqual(w2n2w.num_to_word(-123), 'negative one hundred and twenty three') self.assertEqual(w2n2w.num_to_word(-29.666), 'negative twenty nine point six six six') self.assertEqual(w2n2w.num_to_word(-0), 'zero') self.assertEqual(w2n2w.num_to_word(1/5), 'one fifth') self.assertEqual(w2n2w.num_to_word(1/5, prefer_fraction_words=False), "zero point two") self.assertEqual(10**27 + (463 * 10**12) + 9, w2n2w.word_to_num('one octillion four hundred and sixty three trillion and nine')) self.assertEqual(10**6 * 10**33, w2n2w.word_to_num('one million decillion')) def test_negatives(self): self.assertRaises(ValueError, w2n2w.num_to_word, 'not a num') self.assertRaises(ValueError, w2n2w.num_to_word, 'one hundred and six') self.assertRaises(ValueError, w2n2w.num_to_word, '100 6') def test_range(self): # only do 2 million because any more than that takes too long for i in range(-500_000, 1_500_000, 3): w = w2n2w.num_to_word(i) n = w2n2w.word_to_num(w) # if we can convert our number to words and those # words translate back into the same number then consider # it a success self.assertEqual(n, i) if __name__ == '__main__': unittest.main()

68.235772

160

0.709877

1,235

8,393

4.634008

0.14332

0.212301

0.272584

0.139437

0.764459

0.733007

0.673773

0.417788

0.325878

0.242181

0

0.093252

0.177171

8,393

122

161

68.795082

0.735447

0.042655

0

0.038462

0

0.285287

0

0.865385

1

0.048077

false

0

0.019231

0

0.086538

0

null

1

0

1

0

null

0

1

0

4

9b7ce12e2563ab26be63fc5ee5b16730e2cd6671

127

py

Python

tests/data_fixtures/basic_template/__init__.py

sveetch/Optimus

983aebeccd2ada7a5a0ab96f9296d4bba1112022

[ "MIT" ]

2

2019-05-31T00:23:15.000Z

2021-04-26T07:26:16.000Z

tests/data_fixtures/basic_template/__init__.py

sveetch/Optimus

983aebeccd2ada7a5a0ab96f9296d4bba1112022

[ "MIT" ]

27

2015-04-21T14:43:26.000Z

2022-01-29T00:42:53.000Z

tests/data_fixtures/basic_template/__init__.py

sveetch/Optimus

983aebeccd2ada7a5a0ab96f9296d4bba1112022

[ "MIT" ]

1

2017-05-21T17:32:28.000Z

# -*- coding: utf-8 -*- """ Optimus project for basic. Contains basic template, assets and settings without i18n enabled. """

18.142857

66

0.692913

16

127

5.5

0.9375

0

0.028302

0.165354

127

6

67

21.166667

0.801887

0.92126

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

9b887cbd1ea8052ffbe87eacc00d68a1230ee789

31

py

Python

ppci/lang/basic/__init__.py

rakati/ppci-mirror

8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2

[ "BSD-2-Clause" ]

161

2020-05-31T03:29:42.000Z

2022-03-07T08:36:19.000Z

ppci/lang/basic/__init__.py

rakati/ppci-mirror

8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2

[ "BSD-2-Clause" ]

74

2020-05-26T18:05:48.000Z

2021-02-13T21:55:39.000Z

ppci/lang/basic/__init__.py

rakati/ppci-mirror

8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2

[ "BSD-2-Clause" ]

19

2020-05-27T19:22:11.000Z

2022-02-17T18:53:52.000Z

""" Basic languages module """

15.5

30

0.645161

3

31

6.666667

1

0

0.16129

31

1

31

0.769231

0.709677

0

null

0

null

0

null

0

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1

0

null

0

1

0

null

0

1

0

4

9bc162d5e493b0753f0eaf89844da68b70cd3cc8

620

py

Python

hw_asr/augmentations/wave_augmentations/MyAugs.py

demo-99/asr_project_template

3174df415af624ab9f8601ab35d69a8f2cdcb279

[ "MIT" ]

null

hw_asr/augmentations/wave_augmentations/MyAugs.py

demo-99/asr_project_template

3174df415af624ab9f8601ab35d69a8f2cdcb279

[ "MIT" ]

null

hw_asr/augmentations/wave_augmentations/MyAugs.py

demo-99/asr_project_template

3174df415af624ab9f8601ab35d69a8f2cdcb279

[ "MIT" ]

null

import torch import torch_audiomentations from hw_asr.augmentations.base import AugmentationBase class PeakNormalization(AugmentationBase): def __init__(self, *args, **kwargs): self._aug = torch_audiomentations.PeakNormalization(*args, **kwargs) def __call__(self, data: torch.Tensor): return self._aug(data.unsqueeze(1)).squeeze(1) class AddColoredNoise(AugmentationBase): def __init__(self, *args, **kwargs): self._aug = torch_audiomentations.AddColoredNoise(*args, **kwargs) def __call__(self, data: torch.Tensor): return self._aug(data.unsqueeze(1)).squeeze(1)

29.52381

76

0.730645

70

620

6.128571

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0.09324

0.107226

0.125874

0.629371

0

0.007619

0.153226

620

20

77

31

0.809524

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0.307692

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0.230769

0.153846

0.846154

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null

0

1

0

null

0

1

0

1

0

4

32d2c1e1f4a7fd06413abe1aff91044cca6f7edf

333

py

Python

app/database/database.py

juhosa/fastapi-simple-boilerplate

b7aa537259ff8dda5755f21e0d8ea76e272c7280

[ "MIT" ]

null

app/database/database.py

juhosa/fastapi-simple-boilerplate

b7aa537259ff8dda5755f21e0d8ea76e272c7280

[ "MIT" ]

null

app/database/database.py

juhosa/fastapi-simple-boilerplate

b7aa537259ff8dda5755f21e0d8ea76e272c7280

[ "MIT" ]

null

users = { 'juho': { 'name': 'Juho', 'username': 'juho', 'hashed_password': 'ei-selkokielinen-salasana', 'role': 'opettaja' }, 'olli': { 'name': 'Olli Opiskelija', 'username': 'olli', 'hashed_password': 'ei-selkokielinen-salasana', 'role': 'student' } }

22.2

55

0.486486

26

333

6.153846

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0.175

0.2

0.3625

0.5125

0

0.321321

333

14

56

23.785714

0.707965

0

0.142857

0

0.486486

0.15015

0

1

0

false

0.142857

0

1

0

null

0

1

0

null

0

1

0

4

b5f39c3d99e2dba06cf0b150bf328e1781210e8b

915

py

Python

pants-plugins/internal_plugins/test_lockfile_fixtures/register.py

danxmoran/pants

7fafd7d789747c9e6a266847a0ccce92c3fa0754

[ "Apache-2.0" ]

null

pants-plugins/internal_plugins/test_lockfile_fixtures/register.py

danxmoran/pants

7fafd7d789747c9e6a266847a0ccce92c3fa0754

[ "Apache-2.0" ]

22

2022-01-27T09:59:50.000Z

2022-03-30T07:06:49.000Z

pants-plugins/internal_plugins/test_lockfile_fixtures/register.py

danxmoran/pants

7fafd7d789747c9e6a266847a0ccce92c3fa0754

[ "Apache-2.0" ]

null

# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import annotations from internal_plugins.test_lockfile_fixtures.rules import rules as test_lockfile_fixtures_rules from pants.backend.python.register import rules as python_rules from pants.backend.python.register import target_types as python_target_types from pants.core.goals.test import rules as core_test_rules from pants.core.util_rules import config_files, source_files from pants.jvm.resolve import coursier_fetch, coursier_setup def target_types(): return python_target_types() def rules(): return ( *test_lockfile_fixtures_rules(), *python_rules(), # python backend *core_test_rules(), *config_files.rules(), *coursier_fetch.rules(), *coursier_setup.rules(), *source_files.rules(), )

33.888889

95

0.759563

121

915

5.46281

0.363636

0.068079

0.090772

0.113464

0.124054

0

0.007833

0.162842

915

26

96

35.192308

0.855091

0.154098

0

1

0.105263

true

0

0.368421

0.105263

0.578947

0

null

0

null

0

1

0

1

0

4

bd00eaeb1225b339ba70d3f7d70f287aa3851d3d

192

py

Python

cloudwatch/consumer_abstract.py

code-sauce/cloudwatchlogs

ad4d2b138829c260edcc536d01c90abe55bd46be

[ "MIT" ]

null

cloudwatch/consumer_abstract.py

code-sauce/cloudwatchlogs

ad4d2b138829c260edcc536d01c90abe55bd46be

[ "MIT" ]

null

cloudwatch/consumer_abstract.py

code-sauce/cloudwatchlogs

ad4d2b138829c260edcc536d01c90abe55bd46be

[ "MIT" ]

1

2019-09-11T20:23:47.000Z

class BaseConsumer(object): """ This class sets the blueprint for all the log event consumers """ @staticmethod def process(log_line, log_group, log_stream): pass

21.333333

65

0.661458

24

192

5.166667

0.791667

0

0.260417

192

8

66

24

0.873239

0.317708

0

1

0.25

false

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

bd3fcaca5daba65aba4b0213eb52b8bb7e6c0a35

246

py

Python

reprohack_hub/reprohack/admin.py

Joe-Heffer-Shef/reprohack_site

ba02410ab44dcd773de99b40087791f2e4b1e25c

[ "MIT" ]

null

reprohack_hub/reprohack/admin.py

Joe-Heffer-Shef/reprohack_site

ba02410ab44dcd773de99b40087791f2e4b1e25c

[ "MIT" ]

null

reprohack_hub/reprohack/admin.py

Joe-Heffer-Shef/reprohack_site

ba02410ab44dcd773de99b40087791f2e4b1e25c

[ "MIT" ]

null

from django.contrib import admin from leaflet.admin import LeafletGeoAdmin # Register your models here. from .models import Event, Paper, Review admin.site.register(Event, LeafletGeoAdmin) admin.site.register(Paper) admin.site.register(Review)

24.6

43

0.817073

33

246

6.090909

0.454545

0.134328

0.253731

0

0.101626

246

9

44

27.333333

0.909502

0.105691

0

1

0

true

0

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

4

bd5486334601cbc7708ceaf4c72e390261a4b0c9

134

py

Python

memoize/exceptions.py

mwek/memoize

bd35641d676dbaaf161a61dbf1176742cfa187cc

[ "Apache-2.0" ]

54

2019-06-04T07:00:23.000Z

2022-03-22T00:56:47.000Z

memoize/exceptions.py

mwek/memoize

bd35641d676dbaaf161a61dbf1176742cfa187cc

[ "Apache-2.0" ]

7

2020-08-17T15:45:34.000Z

2022-01-19T09:23:16.000Z

memoize/exceptions.py

mwek/memoize

bd35641d676dbaaf161a61dbf1176742cfa187cc

[ "Apache-2.0" ]

5

2019-10-18T18:05:26.000Z

2021-06-11T10:14:59.000Z

""" [API] Contains exceptions that may be exposed to the library client. """ class CachedMethodFailedException(Exception): pass

16.75

68

0.746269

15

134

6.666667

1

0

0.164179

134

7

69

19.142857

0.892857

0.507463

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

1fa0e0369758273ea3d690e367c4ee1bd893491b

264

py

Python

personalwebsite/tag/models.py

Mateaus/PersonalWebsite

3922afb2ff81d928ec5ac8a5adb69db4c93ac800

[ "MIT" ]

null

personalwebsite/tag/models.py

Mateaus/PersonalWebsite

3922afb2ff81d928ec5ac8a5adb69db4c93ac800

[ "MIT" ]

2

2020-12-27T06:51:33.000Z

2021-01-01T12:37:42.000Z

personalwebsite/tag/models.py

Mateaus/PersonalWebsite

3922afb2ff81d928ec5ac8a5adb69db4c93ac800

[ "MIT" ]

null

from django.db import models class Tag(models.Model): name = models.CharField(max_length=32) creation_date = models.DateTimeField(auto_now_add=True) modified_date = models.DateTimeField(auto_now=True) def __str__(self): return self.name

24

59

0.734848

36

264

5.111111

0.694444

0.108696

0.25

0.293478

0.326087

0

0.009174

0.174242

264

10

60

26.4

0.834862

0

1

0.142857

false

0

0.142857

1

0

null

0

1

0

null

0

1

0

4

1fb94587b7ab7a9c3be257d99829a9e67fd6354e

102

py

Python

src/tmpimgur/__init__.py

ThomasMPorter/BlackFridayExtractor

a3f4d9eb853b11e8bf74a358f5d2a78665a9b38d

[ "Unlicense" ]

1

2020-01-30T13:48:37.000Z

src/tmpimgur/__init__.py

ThomasMPorter/BlackFridayExtractor

a3f4d9eb853b11e8bf74a358f5d2a78665a9b38d

[ "Unlicense" ]

null

src/tmpimgur/__init__.py

ThomasMPorter/BlackFridayExtractor

a3f4d9eb853b11e8bf74a358f5d2a78665a9b38d

[ "Unlicense" ]

null

"""""" from .Connection import Connection from .Album import Album __all__ = ['Connection', 'Album']

17

34

0.705882

11

102

6.181818

0.454545

0

0.137255

102

6

35

17

0.772727

0

0.154639

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1fea83e44f8ad25b488ad9bd0ac01b07bfcb2032

463

py

Python

platform/radio/efr32_multiphy_configurator/efr32multiphyconfig/__init__.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

82

2016-06-29T17:24:43.000Z

2021-04-16T06:49:17.000Z

platform/radio/efr32_multiphy_configurator/efr32multiphyconfig/__init__.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

6

2022-01-12T18:22:08.000Z

2022-03-25T10:19:27.000Z

platform/radio/efr32_multiphy_configurator/efr32multiphyconfig/__init__.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

56

2016-08-02T10:50:50.000Z

2021-07-19T08:57:34.000Z

""" Wrapper layer (adapter) for host_py_radio_config to be consumed by Simplicity Studio. This wrapper allows the "radio configurator" to support the Pro2 style dictionary interface, where the input and output values are defined by key/value pairs. """ from set_pymath_paths import * from .efr32multiphyconfigurator import Efr32MultiPHYConfigurator from .efr32multiphycfginput import Efr32MultiPHYCfgInput from .efr32multiphycategory import Efr32MultiPHYCategory

51.444444

158

0.846652

56

463

6.910714

0.732143

0

0.031707

0.114471

463

8

159

57.875

0.912195

0.526998

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

1ffeb3095e6160dd3b538f2989350c632ded22be

230

py

Python

tests/test_imports.py

nrweir/cw-geodata

19a290c20ec4672dc2e9be37f451d136166bb28a

[ "Apache-2.0" ]

14

2019-03-14T22:07:33.000Z

2019-07-21T02:18:48.000Z

tests/test_imports.py

nrweir/cw-geodata

19a290c20ec4672dc2e9be37f451d136166bb28a

[ "Apache-2.0" ]

40

2019-03-12T16:54:12.000Z

2019-05-01T15:30:59.000Z

tests/test_imports.py

nrweir/cw-geodata

19a290c20ec4672dc2e9be37f451d136166bb28a

[ "Apache-2.0" ]

null

import sys class TestImports(object): def test_imports(self): from cw_geodata.utils import core, geo from cw_geodata.raster_image import image from cw_geodata.vector_label import polygon, graph, mask

25.555556

64

0.726087

32

230

5.03125

0.6875

0.111801

0.242236

0

0.221739

230

8

65

28.75

0.899441

0

1

0.166667

false

0

1

0

1.333333

0

null

0

1

0

1

0

null

0

1

0

1

0

4

9502edb1fe584e4fb381675b6d6eb39a11c5bae4

160

py

Python

registrations/apps.py

IFRCGo/ifrcgo-api

c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a

[ "MIT" ]

11

2018-06-11T06:05:12.000Z

2022-03-25T09:31:44.000Z

registrations/apps.py

IFRCGo/ifrcgo-api

c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a

[ "MIT" ]

498

2017-11-07T21:20:13.000Z

2022-03-31T14:37:18.000Z

registrations/apps.py

IFRCGo/ifrcgo-api

c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a

[ "MIT" ]

6

2018-04-11T13:29:50.000Z

2020-07-16T16:52:11.000Z

from django.utils.translation import ugettext_lazy as _ from django.apps import AppConfig class RegistrationsConfig(AppConfig): name = _('registrations')

22.857143

55

0.8

18

160

6.944444

0.777778

0.16

0

0.13125

160

6

56

26.666667

0.899281

0

0.08125

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

952c32d00c71994f60468e4a7d5986a307c92a38

263

py

Python

0x11-python-network_1/7-error_code.py

calypsobronte/holbertonschool-higher_level_programming

c39c060d8473976fa475d22fffba5cb4329c9965

[ "MIT" ]

null

0x11-python-network_1/7-error_code.py

calypsobronte/holbertonschool-higher_level_programming

c39c060d8473976fa475d22fffba5cb4329c9965

[ "MIT" ]

null

0x11-python-network_1/7-error_code.py

calypsobronte/holbertonschool-higher_level_programming

c39c060d8473976fa475d22fffba5cb4329c9965

[ "MIT" ]

null

#!/usr/bin/python3 import requests from sys import argv if __name__ == "__main__": if requests.get(argv[1]).status_code < 400: print((requests.get(argv[1])).text) else: print("Error code: {}".format((requests.get(argv[1])).status_code))

23.909091

75

0.646388

37

263

4.324324

0.567568

0.20625

0.28125

0.3

0.325

0

0.032258

0.174905

263

10

76

26.3

0.705069

0.064639

0

0.089796

0

1

0

true

0

0.285714

0

0.285714

0

null

1

0

null

0

1

0

4

1f126fdeb4224d7cd914b7aba0f8de07a25acef7

73

py

Python

app/lib/conf.py

viger1228/scriptAPI

e17d061bb90fb88bff2df9001fad09f1e9d972cb

[ "MIT" ]

null

app/lib/conf.py

viger1228/scriptAPI

e17d061bb90fb88bff2df9001fad09f1e9d972cb

[ "MIT" ]

null

app/lib/conf.py

viger1228/scriptAPI

e17d061bb90fb88bff2df9001fad09f1e9d972cb

[ "MIT" ]

null

#!/usr/bin/env python # coding: UTF-8 # file: conf.py # author: walker

10.428571

21

0.643836

12

73

3.916667

1

0

0.016667

0.178082

73

6

22

12.166667

0.766667

0.863014

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

1f34f83a8bdce6239dcab975664e83c8e9ba119c

607

py

Python

tests/gs1/test_symbology.py

jodal/biip

ea56a53a8999f3ded04be881c3348b1b9a373d22

[ "Apache-2.0" ]

17

2020-06-30T08:07:31.000Z

2022-03-26T08:14:24.000Z

tests/gs1/test_symbology.py

jodal/biip

ea56a53a8999f3ded04be881c3348b1b9a373d22

[ "Apache-2.0" ]

117

2020-08-12T14:32:11.000Z

2022-03-28T04:07:48.000Z

tests/gs1/test_symbology.py

jodal/biip

ea56a53a8999f3ded04be881c3348b1b9a373d22

[ "Apache-2.0" ]

1

2020-11-23T23:15:58.000Z

from biip.gs1 import GS1Symbology def test_gs1_symbology_enum() -> None: assert GS1Symbology("C1") == GS1Symbology.GS1_128 def test_gs1_symbology_with_ai_element_strings() -> None: assert GS1Symbology.EAN_13 not in GS1Symbology.with_ai_element_strings() assert GS1Symbology.GS1_128 in GS1Symbology.with_ai_element_strings() def test_gs1_symbology_with_gtin() -> None: assert GS1Symbology.EAN_13 in GS1Symbology.with_gtin() # Even though GS1-128 can contain a GTIN, # it cannot be parsed with a pure GTIN parser. assert GS1Symbology.GS1_128 not in GS1Symbology.with_gtin()

31.947368

76

0.777595

88

607

5.068182

0.375

0.201794

0.161435

0.127803

0.376682

0.152466

0

0.069767

0.149918

607

18

77

33.722222

0.794574

0.138386

0

0.003846

0

0.555556

1

0.333333

true

0

0.111111

0

0.444444

0

null

1

0

null

0

1

0

1

0

4

1f55656202547336085aaa5b9eab24e490f0b6d0

29

py

Python

data/studio21_generated/introductory/3691/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3691/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3691/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def get_a_down_arrow_of(n):

14.5

27

0.793103

7

29

2.714286

1

0

0.103448

29

2

28

14.5

0.730769

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

2f2cbf9305f59ae4feb5f3abae3daf3bb9f6fe88

75

py

Python

quantamatics/providers/__init__.py

Quantamatics/quantamatics

61759ccc0813a55cb028df3be6774b78dbecd05a

[ "Apache-2.0" ]

null

quantamatics/providers/__init__.py

Quantamatics/quantamatics

61759ccc0813a55cb028df3be6774b78dbecd05a

[ "Apache-2.0" ]

null

quantamatics/providers/__init__.py

Quantamatics/quantamatics

61759ccc0813a55cb028df3be6774b78dbecd05a

[ "Apache-2.0" ]

null

from __future__ import absolute_import from quantamatics.providers import *

37.5

38

0.88

9

75

6.777778

0.666667

0

0.093333

75

2

39

37.5

0.897059

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2f2da84cbd8438616a26ab71f8dab06ff91453bf

5,452

py

Python

tests/test_koloro.py

ydcjeff/koloro

293445a3f9a898d54df52fb8d0970f92ac086567

[ "MIT" ]

2

2021-06-14T12:33:57.000Z

2021-06-14T18:09:11.000Z

tests/test_koloro.py

ydcjeff/koloro

293445a3f9a898d54df52fb8d0970f92ac086567

[ "MIT" ]

2

2021-06-14T17:22:24.000Z

2022-02-06T02:21:32.000Z

tests/test_koloro.py

ydcjeff/koloro

293445a3f9a898d54df52fb8d0970f92ac086567

[ "MIT" ]

null

import pytest from pytest import MonkeyPatch import koloro @pytest.fixture def patch_enabled(monkeypatch: MonkeyPatch): monkeypatch.setattr(koloro, 'enabled', True) # test modifiers def test_reset(patch_enabled): assert koloro.reset('foo') == '\u001b[0mfoo\u001b[0m' def test_bold(patch_enabled): assert koloro.bold('foo') == '\u001b[1mfoo\u001b[22m' def test_dim(patch_enabled): assert koloro.dim('foo') == '\u001b[2mfoo\u001b[22m' def test_italic(patch_enabled): assert koloro.italic('foo') == '\u001b[3mfoo\u001b[23m' def test_underline(patch_enabled): assert koloro.underline('foo') == '\u001b[4mfoo\u001b[24m' def test_inverse(patch_enabled): assert koloro.inverse('foo') == '\u001b[7mfoo\u001b[27m' def test_hidden(patch_enabled): assert koloro.hidden('foo') == '\u001b[8mfoo\u001b[28m' def test_strikethrough(patch_enabled): assert koloro.strikethrough('foo') == '\u001b[9mfoo\u001b[29m' # test colors def test_black(patch_enabled): assert koloro.black('foo') == '\u001b[30mfoo\u001b[39m' def test_red(patch_enabled): assert koloro.red('foo') == '\u001b[31mfoo\u001b[39m' def test_green(patch_enabled): assert koloro.green('foo') == '\u001b[32mfoo\u001b[39m' def test_yellow(patch_enabled): assert koloro.yellow('foo') == '\u001b[33mfoo\u001b[39m' def test_blue(patch_enabled): assert koloro.blue('foo') == '\u001b[34mfoo\u001b[39m' def test_magenta(patch_enabled): assert koloro.magenta('foo') == '\u001b[35mfoo\u001b[39m' def test_cyan(patch_enabled): assert koloro.cyan('foo') == '\u001b[36mfoo\u001b[39m' def test_white(patch_enabled): assert koloro.white('foo') == '\u001b[37mfoo\u001b[39m' # test background colors def test_bgBlack(patch_enabled): assert koloro.bgBlack('foo') == '\u001b[40mfoo\u001b[49m' def test_bgRed(patch_enabled): assert koloro.bgRed('foo') == '\u001b[41mfoo\u001b[49m' def test_bgGreen(patch_enabled): assert koloro.bgGreen('foo') == '\u001b[42mfoo\u001b[49m' def test_bgYellow(patch_enabled): assert koloro.bgYellow('foo') == '\u001b[43mfoo\u001b[49m' def test_bgBlue(patch_enabled): assert koloro.bgBlue('foo') == '\u001b[44mfoo\u001b[49m' def test_bgMagenta(patch_enabled): assert koloro.bgMagenta('foo') == '\u001b[45mfoo\u001b[49m' def test_bgCyan(patch_enabled): assert koloro.bgCyan('foo') == '\u001b[46mfoo\u001b[49m' def test_bgWhite(patch_enabled): assert koloro.bgWhite('foo') == '\u001b[47mfoo\u001b[49m' # test bright colors def test_grey(patch_enabled): assert koloro.grey('foo') == '\u001b[90mfoo\u001b[39m' assert koloro.gray('foo') == '\u001b[90mfoo\u001b[39m' def test_brightRed(patch_enabled): assert koloro.brightRed('foo') == '\u001b[91mfoo\u001b[39m' def test_brightGreen(patch_enabled): assert koloro.brightGreen('foo') == '\u001b[92mfoo\u001b[39m' def test_brightYellow(patch_enabled): assert koloro.brightYellow('foo') == '\u001b[93mfoo\u001b[39m' def test_brightBlue(patch_enabled): assert koloro.brightBlue('foo') == '\u001b[94mfoo\u001b[39m' def test_brightMagenta(patch_enabled): assert koloro.brightMagenta('foo') == '\u001b[95mfoo\u001b[39m' def test_brightCyan(patch_enabled): assert koloro.brightCyan('foo') == '\u001b[96mfoo\u001b[39m' def test_brightWhite(patch_enabled): assert koloro.brightWhite('foo') == '\u001b[97mfoo\u001b[39m' # test bright background colors def test_bgGrey(patch_enabled): assert koloro.bgGrey('foo') == '\u001b[100mfoo\u001b[49m' def test_bgBrightRed(patch_enabled): assert koloro.bgBrightRed('foo') == '\u001b[101mfoo\u001b[49m' def test_bgBrightGreen(patch_enabled): assert koloro.bgBrightGreen('foo') == '\u001b[102mfoo\u001b[49m' def test_bgBrightYellow(patch_enabled): assert koloro.bgBrightYellow('foo') == '\u001b[103mfoo\u001b[49m' def test_bgBrightBlue(patch_enabled): assert koloro.bgBrightBlue('foo') == '\u001b[104mfoo\u001b[49m' def test_bgBrightMagenta(patch_enabled): assert koloro.bgBrightMagenta('foo') == '\u001b[105mfoo\u001b[49m' def test_bgBrightCyan(patch_enabled): assert koloro.bgBrightCyan('foo') == '\u001b[106mfoo\u001b[49m' def test_bgBrightWhite(patch_enabled): assert koloro.bgBrightWhite('foo') == '\u001b[107mfoo\u001b[49m' def test_ansi256(patch_enabled): assert koloro.ansi256(12)('foo') == '\u001b[38;5;12mfoo\u001b[0m' def test_ansi256Bg(patch_enabled): assert koloro.ansi256Bg(12)('foo') == '\u001b[48;5;12mfoo\u001b[0m' def test_strip_ansi(patch_enabled): assert koloro.strip_ansi(koloro.ansi256(12)('foo')) == 'foo' # test disabled def test_disabled(monkeypatch: MonkeyPatch): monkeypatch.setattr(koloro, 'enabled', False) assert koloro.cyan('foo') == 'foo' # test nested colors def test_nest_colors(patch_enabled): assert ( koloro.green(f'foo {koloro.brightCyan("bar")} bob') == '\u001b[32mfoo \u001b[96mbar\u001b[32m bob\u001b[39m' ) # test nested background colors def test_nest_bgColors(patch_enabled): assert ( koloro.bgYellow(f'foo {koloro.bgGray("bar")} bob') == '\u001b[43mfoo \u001b[100mbar\u001b[43m bob\u001b[49m' ) # test on and off def test_toggle_enabled_disabled(monkeypatch: MonkeyPatch): monkeypatch.setattr(koloro, 'enabled', True) assert koloro.cyan('foo') == '\u001b[36mfoo\u001b[39m' monkeypatch.setattr(koloro, 'enabled', False) assert koloro.cyan('foo') == 'foo' monkeypatch.setattr(koloro, 'enabled', True) assert koloro.cyan('foo') == '\u001b[36mfoo\u001b[39m'

24.558559

69

0.730374

728

5,452

5.333791

0.18544

0.15452

0.208602

0.278135

0.160958

0.118208

0.107391

0.07726

0.067474

0

0.106142

0.110051

5,452

221

70

24.669683

0.694147

0.032465

0

0.106195

0

0.265337

0.215954

0

0.442478

1

0.424779

false

0

0.026549

0

0.451327

0

null

0

1

0

null

0

1

0

1

0

4

2f5a74c6818acddaa2f11ac8d80a6cb08502d83c

100

py

Python

run.py

PeterJWei/CitywideFootprinting

98064e6119ceab26079c0b11629f3d428f4e745f

[ "MIT" ]

1

2019-01-25T16:01:57.000Z

run.py

PeterJWei/CitywideFootprinting

98064e6119ceab26079c0b11629f3d428f4e745f

[ "MIT" ]

1

2018-10-31T18:33:07.000Z

2018-10-31T18:38:57.000Z

run.py

PeterJWei/CitywideFootprinting

98064e6119ceab26079c0b11629f3d428f4e745f

[ "MIT" ]

1

2018-12-24T23:35:15.000Z

#!/usr/bin/env python import web import energyServer if __name__ == "__main__": energyServer.run()

16.666667

26

0.75

13

100

5.153846

0.846154

0

0.12

100

6

27

16.666667

0.761364

0.2

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0.1

0

1

0

true

0

0.5

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0.5

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null

0

1

0

null

0

1

0

1

0

4

2f67000f7f810ca7d186dfd5ab39637993ad0ec3

94

py

Python

mloq/config/__init__.py

FragileTech/ml-ops-quickstart

8cb1b9a2e70933717e4ef3bd0fc8c4920573ada3

[ "MIT" ]

3

2021-01-26T15:48:29.000Z

2022-03-29T12:01:41.000Z

mloq/config/__init__.py

FragileTech/ml-ops-quickstart

8cb1b9a2e70933717e4ef3bd0fc8c4920573ada3

[ "MIT" ]

219

2020-12-12T17:03:59.000Z

2022-03-28T04:05:42.000Z

mloq/config/__init__.py

FragileTech/ml-ops-quickstart

8cb1b9a2e70933717e4ef3bd0fc8c4920573ada3

[ "MIT" ]

1

2020-12-11T17:44:47.000Z

"""config contains all the logic needed to define the configuration of a new mloq project."""

47

93

0.765957

15

94

4.8

0.933333

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0.159574

94

1

94

0.911392

0.925532

0

null

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null

0

null

0

null

1

null

true

0

null

1

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null

0

1

0

1

0

null

0

1

0

4

2f705816f10a05846951a8a773c0cbfecc34522b

777

py

Python

Cube.py

BingFenghan/Cube

1f9213de6db46ef8c48f2b08491a3b2cc02f1546

[ "MIT" ]

1

2019-01-18T13:36:12.000Z

Cube.py

Bing-Yanchi/Cube

1f9213de6db46ef8c48f2b08491a3b2cc02f1546

[ "MIT" ]

null

Cube.py

Bing-Yanchi/Cube

1f9213de6db46ef8c48f2b08491a3b2cc02f1546

[ "MIT" ]

null

import showcase from OpenGL.GL import * # 定义点 vertices = ( (1,-1,-1), (1,1,-1), (-1,1,-1), (-1,-1,-1), (1,-1,1), (1,1,1), (-1,1,1), (-1,-1,1) ) # 定义线 edges = ( (0,1), (0,3), (0,4), (2,1), (2,3), (2,6), (7,6), (7,4), (7,3), (5,1), (5,4), (5,6) ) # 定义面 surfaces = ( (0,1,2,3), (3,2,6,7), (4,5,6,7), (4,5,1,0), (1,5,6,2), (4,0,3,7) ) # 定义颜色 colors = ( (1,0,0), (0,1,0), (0,0,1), (1,1,1) ) ''' colors = ( (0.2,0.85,0.4), (0.3,0.85,0.6), (0.4,0.85,0.8), (0.5,0.85,1) ) ''' # 定义立方体 def Cube(): glBegin(GL_QUADS) for surface in surfaces: x = 0 for vertex in surface: glColor3fv(colors[x]) glVertex3fv(vertices[vertex]) x += 1 glEnd() showcase.main(Cube)

11.1

33

0.413127

150

777

2.133333

0.246667

0.1625

0.225

0.275

0.103125

0.075

0

0.207581

0.287001

777

69

34

11.26087

0.370036

0.028314

0

1

0.02

false

0

0.04

0

0.06

0

null

0

1

0

1

0

1

0

null

0

4

2f9723fd6f92f76e8c83c01763b273368a62f324

268

py

Python

reprlearn/data/datasets/__init__.py

cocoaaa/ReprLearn

58dc682aa62dbd59201ccc55b9b26480ff3d6773

[ "MIT" ]

null

reprlearn/data/datasets/__init__.py

cocoaaa/ReprLearn

58dc682aa62dbd59201ccc55b9b26480ff3d6773

[ "MIT" ]

null

reprlearn/data/datasets/__init__.py

cocoaaa/ReprLearn

58dc682aa62dbd59201ccc55b9b26480ff3d6773

[ "MIT" ]

null

from .mnist import MNISTDataset from .mnistm import MNISTM from .mono_mnist import MonoMNIST from .usps import USPSDataset from .maptiles import MaptilesDataset from .multisource_mono_mnist import MultiMonoMNIST from .multisource_rotated_mnist import MultiRotatedMNIST

38.285714

56

0.873134

33

268

6.939394

0.454545

0.19214

0.131004

0

0.100746

268

7

56

38.285714

0.950207

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

2f9ec33e3187ea13d867fcca979ff4af04854dde

21

py

Python

aliyun-python-sdk-hbase/aliyunsdkhbase/__init__.py

yndu13/aliyun-openapi-python-sdk

12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5

[ "Apache-2.0" ]

null

aliyun-python-sdk-hbase/aliyunsdkhbase/__init__.py

yndu13/aliyun-openapi-python-sdk

12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5

[ "Apache-2.0" ]

null

aliyun-python-sdk-hbase/aliyunsdkhbase/__init__.py

yndu13/aliyun-openapi-python-sdk

12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5

[ "Apache-2.0" ]

null

__version__ = '2.9.8'

21

0.666667

4

21

2.5

1

0

0.157895

0.095238

21

1

21

0.368421

0

0.227273

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

c81a82cbcd4f0039e8dee114fbbfa348734dd48f

12,301

py

Python

examples/plugins/mar/mar_ops.py

A-LinCui/Discriminator-Guiding-Knowledge-Distillation-MAR

e8caad8de2a559b9c9532448bdcdedd566cb2cfa

[ "MIT" ]

null

examples/plugins/mar/mar_ops.py

A-LinCui/Discriminator-Guiding-Knowledge-Distillation-MAR

e8caad8de2a559b9c9532448bdcdedd566cb2cfa

[ "MIT" ]

null

examples/plugins/mar/mar_ops.py

A-LinCui/Discriminator-Guiding-Knowledge-Distillation-MAR

e8caad8de2a559b9c9532448bdcdedd566cb2cfa

[ "MIT" ]

null

import torch from torch import Tensor import torch.nn as nn import torch.nn.functional as F from aw_nas.ops import register_primitive # Operations of two dimensional UNet # --------------------------------------------------------------------------------------- class DownBlock2D(nn.Module): def __init__(self, C_in: int, C_out: int, kernel_size: int, stride: int, padding: int, norm: str = "InstanceNorm2d", activation: str = "ReLU", inplace: bool = False): super(DownBlock2D, self).__init__() self.conv1 = nn.Conv2d(C_in, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.conv2 = nn.Conv2d(C_out, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.norm = norm if self.norm: self.norm1 = getattr(nn, norm)(C_out) self.norm2 = getattr(nn, norm)(C_out) try: self.act = getattr(nn, activation)(inplace = inplace) except: self.act = getattr(nn, activation)() def forward(self, x): output = self.conv1(x) if self.norm: output = self.norm1(output) output = self.act(output) output = self.conv2(output) if self.norm: output = self.norm2(output) output = self.act(output) return output register_primitive("down_block_2d", lambda C, C_out, kernel_size = 3, stride = 1, padding = 1, norm = None, activation = "ReLU", inplace = False: \ DownBlock2D(C, C_out, kernel_size, stride, padding, norm, activation, inplace), override = True ) class UpBlock2D(nn.Module): def __init__(self, C_in: int, C_out: int, kernel_size: int, stride: int, padding: int, norm: str = "InstanceNorm2d", activation: str = "ReLU", inplace: bool = False): super(UpBlock2D, self).__init__() self.upsample = nn.Upsample(scale_factor = 2, mode = "nearest") self.conv1 = nn.Conv2d(C_in, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.conv2 = nn.Conv2d(C_out, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.norm = norm if self.norm: self.norm1 = getattr(nn, norm)(C_out) self.norm2 = getattr(nn, norm)(C_out) try: self.act = getattr(nn, activation)(inplace = inplace) except: self.act = getattr(nn, activation)() def forward(self, x, y): output = torch.cat((self.upsample(x), y), dim = 1) output = self.conv1(output) if self.norm: output = self.norm1(output) output = self.act(output) output = self.conv2(output) if self.norm: output = self.norm2(output) output = self.act(output) return output register_primitive("up_block_2d", lambda C, C_out, kernel_size = 3, stride = 1, padding = 1, norm = None, activation = "ReLU", inplace = False: \ UpBlock2D(C, C_out, kernel_size, stride, padding, norm, activation, inplace), override = True) # End of operations of two dimensional UNet --------------------------------------------- # Operations of three dimensional UNet # --------------------------------------------------------------------------------------- class DownBlock3D(nn.Module): def __init__(self, C_in: int, C_out: int, kernel_size: int, stride: int, padding: int, batch_norm: bool = False, inplace: bool = False): super(DownBlock3D, self).__init__() self.conv1 = nn.Conv3d(C_in, C_out // 2, kernel_size = kernel_size, stride = stride, padding = padding) self.conv2 = nn.Conv3d(C_out // 2, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.batch_norm = batch_norm if self.batch_norm: self.bn1 = nn.BatchNorm3d(C_out // 2) self.bn2 = nn.BatchNorm3d(C_out) self.relu = nn.ReLU(inplace = inplace) def forward(self, x): output = self.conv1(x) if self.batch_norm: output = self.bn1(output) output = self.relu(output) output = self.conv2(output) if self.batch_norm: output = self.bn2(output) output = self.relu(output) return output register_primitive("down_block_3d", lambda C, C_out, kernel_size = 3, stride = 1, padding = 1, batch_norm = False, inplace = False: \ DownBlock3D(C, C_out, kernel_size, stride, padding, batch_norm, inplace), override = True) class UpBlock3D(nn.Module): def __init__(self, C_in: int, C_out: int, kernel_size: int, stride: int, padding: int, batch_norm: bool = False, inplace: bool = False): super(UpBlock3D, self).__init__() self.upsample = nn.Upsample(scale_factor = 2, mode = "nearest") self.conv1 = nn.Conv3d(C_in, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.conv2 = nn.Conv3d(C_out, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.batch_norm = batch_norm if self.batch_norm: self.bn1 = nn.BatchNorm3d(C_out) self.bn2 = nn.BatchNorm3d(C_out) self.relu = nn.ReLU(inplace = inplace) def forward(self, x, y): output = torch.cat((self.upsample(x), y), dim = 1) output = self.conv1(output) if self.batch_norm: output = self.bn1(output) output = self.relu(output) output = self.conv2(output) if self.batch_norm: output = self.bn2(output) output = self.relu(output) return output register_primitive("up_block_3d", lambda C, C_out, kernel_size = 3, stride = 1, padding = 1, batch_norm = False, inplace = False: \ UpBlock3D(C, C_out, kernel_size, stride, padding, batch_norm, inplace), override = True) # End of operations of three dimensional UNet ------------------------------------------- # Operations of three dimensional Residual Net # --------------------------------------------------------------------------------------- class BasicBlock3D(nn.Module): def __init__(self, C_in: int, C_out: int, stride: int = 1, downsample: bool = False, dilation: int = 1, padding: int = 1, batch_norm: bool = True) -> None: super(BasicBlock3D, self).__init__() self.conv1 = nn.Conv3d(C_in, C_out, kernel_size = 3, stride = stride, padding = padding, bias = False, dilation = dilation) self.relu = nn.ReLU(inplace = False) self.conv2 = nn.Conv3d(C_out, C_out, kernel_size = 3, stride = 1, padding = padding, bias = False, dilation = dilation) self.batch_norm = batch_norm if self.batch_norm: self.bn1 = nn.BatchNorm3d(C_out) self.bn2 = nn.BatchNorm3d(C_out) self.shortcut = nn.Sequential() assert (stride == 1 and C_in == C_out) or downsample, "'downsample' must be true if 'stride' > 1 or 'C_in != C_out'." if downsample: if self.batch_norm: self.shortcut = nn.Sequential( nn.Conv3d(C_in, C_out, kernel_size = 1, stride = stride, bias = False), nn.BatchNorm3d(C_out) ) else: self.shortcut = nn.Conv3d(C_in, C_out, kernel_size = 1, stride = stride, bias = False) def forward(self, x: Tensor) -> Tensor: out = self.conv1(x) if self.batch_norm: out = self.bn1(out) out = self.relu(out) out = self.conv2(out) if self.batch_norm: out = self.bn2(out) out += self.shortcut(x) out = self.relu(out) return out register_primitive("basic_block_3d", lambda C_in, C_out, stride = 1, downsample = False, padding = 1, dilation = 1, batch_norm = True: \ BasicBlock3D(C_in, C_out, stride, downsample, padding, dilation, batch_norm), override = True) # End of operations of three dimensional Residual Net ----------------------------------- # Operations of two dimensional discriminator # --------------------------------------------------------------------------------------- class VggBlock2D(nn.Module): def __init__(self, C: int, C_out: int, stride: int, affine: bool, inplace: bool = True, norm: str = "InstanceNorm2d", activation: str = "ReLU"): super(VggBlock2D, self).__init__() self.conv = nn.Conv2d(C, C_out, kernel_size = 3, padding = 1) self.norm = getattr(nn, norm)(C_out) if norm else nn.Identity() self.pool = nn.MaxPool2d(kernel_size = 2, stride = 2) if stride == 2 else nn.Identity() self.act = getattr(nn, activation)(inplace = inplace) def forward(self, inputs): return self.pool(self.act(self.norm(self.conv(inputs)))) register_primitive("vgg_block_2d", lambda C, C_out, stride, affine = True, inplace = True, norm = "InstanceNorm2d", activation = "ReLU": VggBlock2D(C, C_out, stride, affine, inplace, norm, activation), override = True) # End of operations of two dimensional discriminator ---------------------------------- # Operations of three dimensional discriminator # --------------------------------------------------------------------------------------- class VggBlock3D(nn.Module): def __init__(self, C: int, C_out: int, stride: int, affine: bool, inplace: bool = True, norm: str = "InstanceNorm3d", activation: str = "ReLU"): super(VggBlock3D, self).__init__() self.conv = nn.Conv3d(C, C_out, kernel_size = 3, padding = 1) self.norm = getattr(nn, norm)(C_out) if norm else nn.Identity() self.pool = nn.MaxPool3d(kernel_size = 2, stride = 2) if stride == 2 else nn.Identity() self.act = getattr(nn, activation)(inplace = inplace) def forward(self, inputs): return self.pool(self.act(self.norm(self.conv(inputs)))) register_primitive("vgg_block_3d", lambda C, C_out, stride, affine = True, inplace = True, norm = "InstanceNorm3d", activation = "ReLU": VggBlock3D(C, C_out, stride, affine, inplace, norm, activation), override = True) class ConvELU3D(nn.Module): def __init__(self, C: int, C_out: int, kernel_size: int, stride: int, padding: int, inplace: bool = False): super(ConvELU3D, self).__init__() self.conv = nn.Conv3d(C, C_out, kernel_size = kernel_size, stride = stride, padding = padding) self.elu = nn.ELU(inplace) def forward(self, x): return self.elu(self.conv(x)) register_primitive("conv_elu_3d", lambda C, C_out, kernel_size, stride, padding, inplace = False: ConvELU3D(C, C_out, kernel_size, stride, padding, inplace), override = True) class ConvReLU3D(nn.Module): def __init__(self, C_in, C_out, kernel_size, stride, padding): super(ConvReLU3D, self).__init__() self.conv = nn.Conv3d(C_in, C_out, kernel_size, stride = stride, padding = padding, bias = False) self.relu = nn.ReLU(inplace=False) def forward(self, x): return self.relu(self.conv(x)) register_primitive("conv_relu_3x3_3d", lambda C, C_out, stride, affine: ConvReLU3D(C, C_out, 3, stride, 1), override = True) register_primitive("conv_relu_3x3_3d_c1", lambda C, C_out, stride, affine: ConvReLU3D(1, C_out, 3, stride, 1), override = True) # End of operations of three dimensional discriminator ---------------------------------- # -------------------------------------------------------------------------------------- if __name__ == "__main__": inputs = torch.ones(2, 16, 40, 200, 200) net = BasicBlock3D(C_in = 16, C_out = 32, stride = 2, downsample = True, padding = 2, dilation = 2, batch_norm = False) outputs = net(inputs) loss = outputs.sum() loss.backward() print(outputs.shape)

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c8214c8e4f529c8338a5b91d45f79bfe430afec8

1,266

py

Python

nfvbench/tor_client.py

hashnfv/hashnfv-nfvbench

8da439b932537748d379c7bd3bdf560ef739b203

[ "Apache-2.0" ]

null

nfvbench/tor_client.py

hashnfv/hashnfv-nfvbench

8da439b932537748d379c7bd3bdf560ef739b203

[ "Apache-2.0" ]

null

nfvbench/tor_client.py

hashnfv/hashnfv-nfvbench

8da439b932537748d379c7bd3bdf560ef739b203

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2016 Cisco Systems, Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. 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. # class TORClientException(Exception): pass class BasicTORClient(object): def __init__(self, config): pass def get_int_counters(self): return {} def get_vni_counters(self, vni): return {} def get_vni_interface(self, vni, counters): return None def get_vni_for_vlan(self, vlans): return [] def attach_tg_interfaces(self, network_vlans, switch_ports): pass def clear_nve(self): pass def clear_interface(self, vni): pass def close(self): pass def get_version(self): return {}

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c836dcf57d30724e24978e69b0729b3a0f4d5fe5

102

py

Python

setup.py

jlumpe/python-emacs

42229fe06e6ca5a137c339561f99becac303ceb8

[ "MIT" ]

9

2019-09-13T23:40:11.000Z

2022-02-18T19:56:22.000Z

setup.py

jlumpe/python-emacs

42229fe06e6ca5a137c339561f99becac303ceb8

[ "MIT" ]

1

2021-05-16T11:27:43.000Z

2021-05-16T11:27:49.000Z

setup.py

jlumpe/python-emacs

42229fe06e6ca5a137c339561f99becac303ceb8

[ "MIT" ]

1

2020-01-02T11:22:00.000Z

"""Setuptools installation script for python-emacs package.""" from setuptools import setup setup()

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c09dde62c929a16ed622795f87f87281110244cf

113

py

Python

enthought/template/impl/template_data_context.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/template/impl/template_data_context.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/template/impl/template_data_context.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from apptools.template.impl.template_data_context import *

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c0b12e93e1ca33b55409a446f815c4209c6a0b7d

43

py

Python

drone_client/__init__.py

morph027/drone-client

8b467073e6bd45aad66e038fb914e365425ba6b1

[ "Apache-2.0" ]

2

2020-03-26T20:19:17.000Z

2020-12-11T17:43:25.000Z

drone_client/__init__.py

morph027/drone-client

8b467073e6bd45aad66e038fb914e365425ba6b1

[ "Apache-2.0" ]

null

drone_client/__init__.py

morph027/drone-client

8b467073e6bd45aad66e038fb914e365425ba6b1

[ "Apache-2.0" ]

1

2020-09-02T10:00:00.000Z

from . import drone __version__ = '0.1.4'

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c0f96abc46d6d0cc4b2b03cbdb212dd79d092a4f

89

py

Python

examples/another_basic_external_file.py

thiagofigcosta/Pytho-

3dc12abe3524bb2fd5004a29751498ef2d3bbade

[ "MIT" ]

null

examples/another_basic_external_file.py

thiagofigcosta/Pytho-

3dc12abe3524bb2fd5004a29751498ef2d3bbade

[ "MIT" ]

null

examples/another_basic_external_file.py

thiagofigcosta/Pytho-

3dc12abe3524bb2fd5004a29751498ef2d3bbade

[ "MIT" ]

null

#!/bin/python3 def print_ext_file2(){ print("This came from another ext file") }

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23ad9621bd35dd8928728015825b8a56b1b7367a

194

py

Python

jsonio.py

danielhavir/dotfiles

1bba9fae0e2708705f8b6a0a989d8b201cac3dbf

[ "MIT" ]

2

2020-04-03T20:03:59.000Z

2020-07-26T13:01:27.000Z

jsonio.py

danielhavir/dotfiles

1bba9fae0e2708705f8b6a0a989d8b201cac3dbf

[ "MIT" ]

null

jsonio.py

danielhavir/dotfiles

1bba9fae0e2708705f8b6a0a989d8b201cac3dbf

[ "MIT" ]

null

import os import json def readjson(path): with open(path, "r") as f: o = json.load(f) return o def writejson(o, path): with open(path, "w") as f: json.dump(o, f)

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23ca2064cedd7c1e68374c79141100fa7a2358de

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py

Python

dpemu/filters/filter.py

ohtu-projekti-dataproblemsemulator/dataproblemsemulator

58170716b44c4e4dee639451977f352b3c68053c

[ "MIT" ]

2

2019-12-13T09:58:49.000Z

2020-02-10T10:37:17.000Z

dpemu/filters/filter.py

ohtu-projekti-dataproblemsemulator/dataproblemsemulator

58170716b44c4e4dee639451977f352b3c68053c

[ "MIT" ]

199

2019-05-19T17:48:39.000Z

2022-03-11T23:56:15.000Z

dpemu/filters/filter.py

thalvari/dpEmu-AutoML

b24eac686fae4147264c1ccc8169fd96b1875577

[ "MIT" ]

5

2019-10-02T23:14:05.000Z

2020-05-28T16:23:22.000Z

# MIT License # # Copyright (c) 2019 Tuomas Halvari, Juha Harviainen, Juha Mylläri, Antti Röyskö, Juuso Silvennoinen # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import random import numpy as np from abc import ABC, abstractmethod class Filter(ABC): """A Filter is an error source which can be attached to an Array node. The apply method applies the filter to the data. A filter may always assume that it is acting upon a NumPy array. (if the underlying data object is not a NumPy array, the required conversions are performed by the Array node to which the Filter is attached.) Args: ABC (object): Helper class that provides a standard way to create an abstract class using inheritance. """ # TODO: should this really be done here?? def __init__(self): """Set the seeds for the RNG's of NumPy and Python. """ np.random.seed(42) random.seed(42) def set_params(self, params_dict): """Set parameters for error generation. Args: params_dict (dict): A dictionary containing key-value pairs of error parameters. """ original = self.__dict__.copy() for key in original: if key[-3:] == "_id": value = self.__dict__[key] if value is not None: try: self.__dict__[key[:-3]] = params_dict[value] except KeyError as e: message = "The error parameter dictionary does not contain a parameter "\ f"with the identifier '{value}', which is expected by "\ f"the Filter {self}." raise Exception(message) from e for key in self.__dict__: value = self.__dict__[key] if isinstance(value, Filter): value.set_params(params_dict) @abstractmethod def apply(self, node_data, random_state, named_dims): """Applies the filter to the data. Args: node_data (numpy.ndarray): Data to be modified as a NumPy array. random_state (mtrand.RandomState): An instance of numpy.random.RandomState() random number generator. named_dims (dict): Named dimensions. """ pass # TODO: "Inherits Filter class" -> "Inherits the Filter-class" ? class Constant(Filter): """Overwrites all values in the data with the given value. Inherits Filter class. """ def __init__(self, value_id): """ Args: value_id: The key mapping to the value to overwrite values in the data with. """ super().__init__() self.value_id = value_id def apply(self, node_data, random_state, named_dims): node_data.fill(self.value) # TODO: Isn't this just the base Filter class? class Identity(Filter): """Acts as the identity operator, thus doesn't modify the data. Inherits Filter class. """ def __init__(self): super().__init__() def apply(self, node_data, random_state, named_dims): pass class BinaryFilter(Filter): """Abstract Filter applying two given filters to the data, combining the results with a pairwise binary operation. The pairwise binary operation is specified by the inheriting class by overriding the operation-function. Inherits Filter class. """ def __init__(self, filter_a, filter_b): """ Args: filter_a (str): The first filter. filter_b (str): The second filter. """ super().__init__() self.filter_a = filter_a self.filter_b = filter_b def apply(self, node_data, random_state, named_dims): data_a = node_data.copy() data_b = node_data.copy() self.filter_a.apply(data_a, random_state, named_dims) self.filter_b.apply(data_b, random_state, named_dims) for index, _ in np.ndenumerate(node_data): node_data[index] = self.operation(data_a[index], data_b[index]) @abstractmethod def operation(self, element_a, element_b): """The pairwise binary operation used to combine results from the two child filters. Args: element_a (object): The element from the data filter_a operated on. element_b (object): The element from the data filter_b operated on. """ pass class Addition(BinaryFilter): """Combines results of the two child filters by adding them together. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a + element_b class Subtraction(BinaryFilter): """Combines results of the two child filters by subtracting the results of the second from the firsts. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a - element_b class Multiplication(BinaryFilter): """Combines results of the two child filters by multiplying them together. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a * element_b class Division(BinaryFilter): """Combines results of the two child filters by dividing the results of the first by the seconds. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a / element_b class IntegerDivision(BinaryFilter): """Combines results of the two child filters by perfoming integer division on the results of the first by the results of the second. The division is done with python's // operator. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a // element_b class Modulo(BinaryFilter): """Combines results of the two child filters by taking the results of the first modulo results of the second. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a % element_b class And(BinaryFilter): """Combines results of the two child filters with bitwise AND. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a & element_b class Or(BinaryFilter): """Combines results of the two child filters with bitwise OR. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a | element_b class Xor(BinaryFilter): """Combines results of the two child filters with bitwise XOR. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return element_a ^ element_b class Difference(Filter): """Returns change to data from filter Given a filter, applies the filter to the data, then subtracting the original. Functions identically to Subtraction(filter, Identity()). Inherits BinaryFilter class. """ def __init__(self, ftr): super().__init__() self.ftr = Subtraction(ftr, Identity()) def apply(self, node_data, random_state, named_dims): self.ftr.apply(node_data, random_state, named_dims) class Max(BinaryFilter): """Combines results of the two child filters by taking the pairwise maximum of the results of the first and second. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return max(element_a, element_b) class Min(BinaryFilter): """Combines results of the two child filters by taking the pairwise minimum of the results of the first and second. Inherits BinaryFilter class. """ def operation(self, element_a, element_b): return min(element_a, element_b)

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23cff851ceabab8f0697bbd4809b3c99f46a6e5c

35

py

Python

tests/__init__.py

brgerig/async_upnp_client

680c4f5f7c80c417338e5c498179cb2af2f7bf1c

[ "Apache-2.0" ]

33

2018-05-23T08:14:53.000Z

2022-02-14T10:30:46.000Z

tests/__init__.py

brgerig/async_upnp_client

680c4f5f7c80c417338e5c498179cb2af2f7bf1c

[ "Apache-2.0" ]

107

2018-06-22T18:01:58.000Z

2022-03-17T21:39:07.000Z

tests/__init__.py

brgerig/async_upnp_client

680c4f5f7c80c417338e5c498179cb2af2f7bf1c

[ "Apache-2.0" ]

25

2018-05-23T09:44:16.000Z

2022-03-10T09:11:34.000Z

"""Tests for async_upnp_client."""

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23f1a898c4bcd9fe8c90e7bb708a6ed539fc6bec

97

py

Python

app/filestorage/apps.py

DOSSIER-dev/DOSSIER-Sources

a89d3626ddf1bfcd021f2f7b4e927182aa5b3d8e

[ "MIT" ]

7

2019-04-05T11:28:50.000Z

2021-04-14T10:05:46.000Z

app/filestorage/apps.py

DOSSIER-dev/DOSSIER-Sources

a89d3626ddf1bfcd021f2f7b4e927182aa5b3d8e

[ "MIT" ]

1

2022-03-02T03:41:28.000Z

app/filestorage/apps.py

DOSSIER-dev/DOSSIER-Sources

a89d3626ddf1bfcd021f2f7b4e927182aa5b3d8e

[ "MIT" ]

1

2019-04-15T10:41:08.000Z

from django.apps import AppConfig class FileStorageConfig(AppConfig): name = 'filestorage'

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9b147d700923997ed7993f918d1628dc6b243d8e

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py

Python

tests/test_integration/test_async/test_others.py

Nobyx/pyfy

e18a7b7e48eefc4cb58e5d826c341bce99452a66

[ "MIT" ]

48

2019-02-13T19:53:39.000Z

2021-05-04T20:56:34.000Z

tests/test_integration/test_async/test_others.py

Nobyx/pyfy

e18a7b7e48eefc4cb58e5d826c341bce99452a66

[ "MIT" ]

21

2019-01-09T17:46:13.000Z

2021-08-22T12:38:59.000Z

tests/test_integration/test_async/test_others.py

Nobyx/pyfy

e18a7b7e48eefc4cb58e5d826c341bce99452a66

[ "MIT" ]

15

2019-01-03T01:30:24.000Z

2022-01-30T09:53:18.000Z

import pytest pytestmark = pytest.mark.asyncio async def test_user_top_artists(async_spotify_user_auth): assert await async_spotify_user_auth.user_top_artists() async def test_artist_albums(async_spotify_user_auth, depeche_mode_artist_id): assert await async_spotify_user_auth.artist_albums(depeche_mode_artist_id) async def test_album_tracks(async_spotify_user_auth, reise_reise_album_id): assert await async_spotify_user_auth.album_tracks(reise_reise_album_id) async def test_artist_top_tracks(async_spotify_user_auth, depeche_mode_artist_id): assert await async_spotify_user_auth.artist_top_tracks( depeche_mode_artist_id, country="US" ) # # # TODO: Write seperate unit tests for the get_key_recursively_method() # # # async def test_next_search(async_spotify_user_auth): result = await async_spotify_user_auth.search("love", "track", limit=2) assert len(result) > 0 next_ = await async_spotify_user_auth.next_page(result) assert len(next_) > 0 next_2 = await async_spotify_user_auth.next_page(next_) assert next_ != next_2 assert len(next_2) > 0 async def test_previous_search(async_spotify_user_auth): result = await async_spotify_user_auth.search("stars", "track", limit=2) assert len(result) > 0 next_ = await async_spotify_user_auth.next_page(result) next_2 = await async_spotify_user_auth.next_page(next_) previous = await async_spotify_user_auth.previous_page(next_2) assert len(previous) > 0 assert previous == next_ assert len(previous) > 0 async def test_next_featured_playlists(async_spotify_user_auth): result = await async_spotify_user_auth.featured_playlists(limit=2) assert len(result) > 0 next_ = await async_spotify_user_auth.next_page(result) assert len(next_) > 0 async def test_next_recently_played_tracks(async_spotify_user_auth): result = await async_spotify_user_auth.recently_played_tracks(limit=2) assert len(result) > 0 next_ = await async_spotify_user_auth.next_page(result) assert len(next_) > 0 async def test_next_user_albums(async_spotify_user_auth): result = await async_spotify_user_auth.user_albums(limit=2) assert len(result) > 0 next_ = await async_spotify_user_auth.next_page(result) assert len(next_) > 0

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f1a3ce04f6082e3a85ec745a036f900e239ddddd

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py

Python

python/1016.py

nicollecnunes/uri-python

1860c2be2eb3eb603767e829964ae7e586fb3511

[ "MIT" ]

null

python/1016.py

nicollecnunes/uri-python

1860c2be2eb3eb603767e829964ae7e586fb3511

[ "MIT" ]

null

python/1016.py

nicollecnunes/uri-python

1860c2be2eb3eb603767e829964ae7e586fb3511

[ "MIT" ]

null

a=int(input()) print("%d minutos" % (a*2))

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null

0

1

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4

f1bacc31911790212604b971f14bea7889440f2e

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py

Python

upperlower.py

64u71bm/Python-Programs

601d4a171593b84f7fada1870ddddd3999eb16a0

[ "MIT" ]

1

2018-12-07T15:19:33.000Z

upperlower.py

64u71bm/Python-Programs

601d4a171593b84f7fada1870ddddd3999eb16a0

[ "MIT" ]

null

upperlower.py

64u71bm/Python-Programs

601d4a171593b84f7fada1870ddddd3999eb16a0

[ "MIT" ]

null

s=raw_input("enter a string

14

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null

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1

0

null

0

1

0

4

f1d438d4020392cb81f1e5eba3472d28c4d7eb9c

216

py

Python

Python/852_Peak_Index_in_a_Mountain_Array.py

ImedAdel/LeetCode

e994b783de9b6167a6ec6c261dcafc8c0753bd54

[ "Unlicense" ]

3

2019-03-27T22:14:45.000Z

2020-01-07T14:43:27.000Z

Python/852_Peak_Index_in_a_Mountain_Array.py

ImedAdel/LeetCode

e994b783de9b6167a6ec6c261dcafc8c0753bd54

[ "Unlicense" ]

null

Python/852_Peak_Index_in_a_Mountain_Array.py

ImedAdel/LeetCode

e994b783de9b6167a6ec6c261dcafc8c0753bd54

[ "Unlicense" ]

null

class Solution: def peakIndexInMountainArray(self, A): """ :type A: List[int] :rtype: int """ # return A.index(max(A)) return max(range(len(A)), key=A.__getitem__)

24

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null

0

1

0

1

0

4

f1e2f061bf50febeb02ad6e1e23b144f4b3be84a

67

py

Python

experiments/reticulated/retic/exec2/__init_.py

fabianmuehlboeck/monnom

609b307d9fa9e6641443f34dbcc0b035b34d3044

[ "BSD-3-Clause", "MIT" ]

2

2021-11-16T20:58:02.000Z

2021-12-05T18:15:41.000Z

experiments/reticulated/sort/retic/exec2/__init_.py

fabianmuehlboeck/monnom

609b307d9fa9e6641443f34dbcc0b035b34d3044

[ "BSD-3-Clause", "MIT" ]

null

experiments/reticulated/sort/retic/exec2/__init_.py

fabianmuehlboeck/monnom

609b307d9fa9e6641443f34dbcc0b035b34d3044

[ "BSD-3-Clause", "MIT" ]

null

def _exec(obj, globs=None, locs=None): exec obj in globs, locs

22.333333

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0.686567

12

67

3.75

0.583333

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1

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1

0

null

0

1

0

4

f1ea1ff5dd0d05aad148750e2b2ace3d6c76e587

212

py

Python

yelpfusion/endpoints/autocomplete.py

tmnhat2001/yelp-fusion-api

91e9e2b763efd96f12fd926484e1a32921421f1c

[ "MIT" ]

null

yelpfusion/endpoints/autocomplete.py

tmnhat2001/yelp-fusion-api

91e9e2b763efd96f12fd926484e1a32921421f1c

[ "MIT" ]

null

yelpfusion/endpoints/autocomplete.py

tmnhat2001/yelp-fusion-api

91e9e2b763efd96f12fd926484e1a32921421f1c

[ "MIT" ]

null

from typing import Any, Dict from yelpfusion.endpoint import Endpoint class Autocomplete(Endpoint): def get(self, **params: Any) -> Dict[str, Any]: return self._get("/autocomplete", params=params)

23.555556

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8

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null

0

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4

7b21a212a0202b0a0f3ad38fc0c22c48e3bef9e6

119

py

Python

sorting/commonutil.py

shubham9302/DS_Practise

13b395a35e002f9f103ab3f279bcbd39d29f2729

[ "MIT" ]

null

sorting/commonutil.py

shubham9302/DS_Practise

13b395a35e002f9f103ab3f279bcbd39d29f2729

[ "MIT" ]

null

sorting/commonutil.py

shubham9302/DS_Practise

13b395a35e002f9f103ab3f279bcbd39d29f2729

[ "MIT" ]

null

class Utilities: @staticmethod def swap(a, b, arr): arr[a], arr[b] = arr[b], arr[a] return arr

19.833333

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0.529412

18

119

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1

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null

0

1

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4

9e3ccfcf1df7bc7f7b92f7a91f24779567309f18

137

py

Python

decoder/qr_bar_decoder/apps.py

CoderandGymnast/SWMS---Sonic-Warehouse-Management-System

95efabe2cfec1c66b762e00782ed7d3b8ce66d0e

[ "MIT" ]

null

decoder/qr_bar_decoder/apps.py

CoderandGymnast/SWMS---Sonic-Warehouse-Management-System

95efabe2cfec1c66b762e00782ed7d3b8ce66d0e

[ "MIT" ]

null

decoder/qr_bar_decoder/apps.py

CoderandGymnast/SWMS---Sonic-Warehouse-Management-System

95efabe2cfec1c66b762e00782ed7d3b8ce66d0e

[ "MIT" ]

null

from django.apps import AppConfig class QrBarDecoderConfig(AppConfig): name = "qr_bar_decoder" verbose_name = "QR/BAR decoder"

19.571429

36

0.751825

17

137

5.882353

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1

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null

0

1

0

4

9e7c4e2ed315d15adfe7981b6e63c6791185ec59

96

py

Python

practice/session_app/apps.py

jietui/django_project

94a3a506abdfb6e5d1ccc41347914fc2ba147da2

[ "MIT" ]

1

2021-11-25T00:02:36.000Z

practice/session_app/apps.py

jietui/django_project

94a3a506abdfb6e5d1ccc41347914fc2ba147da2

[ "MIT" ]

null

practice/session_app/apps.py

jietui/django_project

94a3a506abdfb6e5d1ccc41347914fc2ba147da2

[ "MIT" ]

null

from django.apps import AppConfig class SessionAppConfig(AppConfig): name = 'session_app'

16

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0.770833

11

96

6.636364

0.909091

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0.15625

96

5

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19.2

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0.333333

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null

0

1

0

null

0

1

0

1

0

4

9e84801b182e878c5482d4ff22cf3162e4f771a7

88

py

Python

baconsarnie/__init__.py

TechPriestJon/BaconSarnie

0e5b240684e40f2e43fd6082630ea97887c98ea9

[ "BSD-3-Clause" ]

null

baconsarnie/__init__.py

TechPriestJon/BaconSarnie

0e5b240684e40f2e43fd6082630ea97887c98ea9

[ "BSD-3-Clause" ]

null

baconsarnie/__init__.py

TechPriestJon/BaconSarnie

0e5b240684e40f2e43fd6082630ea97887c98ea9

[ "BSD-3-Clause" ]

null

#from baconsarnie.io.window import Window #__all__ = ["io", "Window"] __all__ = ["io"]

17.6

41

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88

4.636364

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0

0.136364

88

5

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null

1

0

1

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null

0

4

9eb49ebb9298a1fcc4f7a048732e41b468d8dc80

1,201

py

Python

pytablereader/loadermanager/_base.py

sthagen/thombashi-pytablereader

b59859da6fdcc94035933dd253e6e380b04a233b

[ "MIT" ]

81

2017-03-18T02:57:29.000Z

2022-03-26T16:54:59.000Z

pytablereader/loadermanager/_base.py

sthagen/pytablereader

b59859da6fdcc94035933dd253e6e380b04a233b

[ "MIT" ]

4

2017-08-09T14:58:48.000Z

2020-04-17T12:59:29.000Z

pytablereader/loadermanager/_base.py

sthagen/pytablereader

b59859da6fdcc94035933dd253e6e380b04a233b

[ "MIT" ]

11

2017-05-02T16:23:59.000Z

2021-12-10T15:05:39.000Z

""" .. codeauthor:: Tsuyoshi Hombashi <tsuyoshi.hombashi@gmail.com> """ from ..interface import TableLoaderInterface class TableLoaderManager(TableLoaderInterface): def __init__(self, loader): self.__loader = loader @property def loader(self): return self.__loader @property def format_name(self): return self.__loader.format_name @property def source_type(self): return self.__loader.source_type @property def table_name(self): return self.__loader.table_name @table_name.setter def table_name(self, value): self.__loader.table_name = value @property def encoding(self): try: return self.__loader.encoding except AttributeError: return None @encoding.setter def encoding(self, codec_name): self.__loader.encoding = codec_name @property def type_hints(self): return self.__loader.type_hints @type_hints.setter def type_hints(self, value): self.__loader.type_hints = value def load(self): return self.__loader.load() def inc_table_count(self): self.__loader.inc_table_count()

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null

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null

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4

9ec1658836380b052ab140fc69b5677511643717

127

py

Python

flask/app/__init__.py

Smyles1105/portfolio-site

9ede08ce0c800fa7001d76a10af04b35fa0c3a3b

[ "MIT" ]

1

2022-02-17T17:40:55.000Z

flask/app/__init__.py

Smyles1105/portfolio-site

9ede08ce0c800fa7001d76a10af04b35fa0c3a3b

[ "MIT" ]

null

flask/app/__init__.py

Smyles1105/portfolio-site

9ede08ce0c800fa7001d76a10af04b35fa0c3a3b

[ "MIT" ]

null

from flask import Flask app = Flask(__name__,template_folder='../templates', static_folder='../static') from app import views

25.4

79

0.76378

17

127

5.352941

0.588235

0

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127

5

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25.4

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null

0

1

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1

0

4

7b37ec821e22c40837831a81e7d04f9891b7f1e6

95

py

Python

tsurami/tsuramiapp/apps.py

IchigoMilk/tsuramiapp

e423ec460e0109290eaa991032fbd3e65ad0ff66

[ "MIT" ]

null

tsurami/tsuramiapp/apps.py

IchigoMilk/tsuramiapp

e423ec460e0109290eaa991032fbd3e65ad0ff66

[ "MIT" ]

null

tsurami/tsuramiapp/apps.py

IchigoMilk/tsuramiapp

e423ec460e0109290eaa991032fbd3e65ad0ff66

[ "MIT" ]

null

from django.apps import AppConfig class TsuramiappConfig(AppConfig): name = 'tsuramiapp'

15.833333

34

0.768421

10

95

7.3

0.9

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35

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1

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null

0

1

0

1

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4

7b5614eeb191fb7a1db5eec91c85eab7917d2d48

995

py

Python

PyPPSPC.py

Nircek/pypps

6f14a854b17cc995cb6f43001842b6c7c4118064

[ "MIT" ]

null

PyPPSPC.py

Nircek/pypps

6f14a854b17cc995cb6f43001842b6c7c4118064

[ "MIT" ]

null

PyPPSPC.py

Nircek/pypps

6f14a854b17cc995cb6f43001842b6c7c4118064

[ "MIT" ]

null

#!/usr/bin/env python3 from .PPSReply import * from .PPSDefaults import * import json class PyPPSPC: PPSversion = 'v1.3' def __init__(self, url): self.url = url self.user, self.password = [None]*2 self.input = inputfunc self.bool = boolfunc version = lambda self: getVersion(self.url) test = lambda self: self.version()[0] == 'v' connect = connect def register(self, user, password): return perform(self.url, 'register', {'user': user, 'pass': password}) def login(self, user, password): self.user = user self.password = password def push(self, event): return perform(self.url, 'push', {'user': self.user, 'pass': self.password, 'event': event}) def refresh(self): return perform(self.url, 'refresh', {'user': self.user, 'pass': self.password}) def pushj(self, event): return self.push(json.dumps(event)) def refreshj(self): return loads(joinUS(self.refresh()))

34.310345

100

0.621106

125

995

4.912

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0.068404

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0.091205

0

0.006553

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995

28

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0

null

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1

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1

0

1

0

4

7b7b2e0ebf951448d6aa9dde0570d750b202b3dd

49

py

Python

src/napari_math/__init__.py

zacsimile/napari-math

b159b983392fe6b60cab944e803322bee154bc92

[ "MIT" ]

2

2022-01-18T17:19:48.000Z

2022-01-18T22:26:05.000Z

src/napari_math/__init__.py

zacsimile/napari-math

b159b983392fe6b60cab944e803322bee154bc92

[ "MIT" ]

null

src/napari_math/__init__.py

zacsimile/napari-math

b159b983392fe6b60cab944e803322bee154bc92

[ "MIT" ]

null

__version__ = "0.0.1b" from ._widget import *

8.166667

22

0.653061

7

49

3.857143

0.857143

0

0.076923

0.204082

49

5

23

9.8

0.615385

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0.125

0

1

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false

0

0.5

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0.5

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1

0

null

0

1

0

null

0

1

0

4

7b962f3d28b62da36240a721fee79a04703c02bb

87

py

Python

djurls/shorty/apps.py

solen0id/djurls

f0b1d82ca2ef4a6ff3ce326b5b3c1a53d8a0994f

[ "MIT" ]

null

djurls/shorty/apps.py

solen0id/djurls

f0b1d82ca2ef4a6ff3ce326b5b3c1a53d8a0994f

[ "MIT" ]

null

djurls/shorty/apps.py

solen0id/djurls

f0b1d82ca2ef4a6ff3ce326b5b3c1a53d8a0994f

[ "MIT" ]

null

from django.apps import AppConfig class ShortyConfig(AppConfig): name = "shorty"

14.5

33

0.747126

10

87

6.5

0.9

0

0.172414

87

5

34

17.4

0.902778

0

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1

0

false

0

0.333333

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1

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1

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null

0

1

0

null

0

1

0

1

0

4

c8a1b7ec815d51807fb328f52a9bd052ed6eda89

147

py

Python

sudoku/network/__init__.py

kevinddchen/sudoku

135b47ffcfade88628acabacd0a2c916da98a9e4

[ "MIT" ]

null

sudoku/network/__init__.py

kevinddchen/sudoku

135b47ffcfade88628acabacd0a2c916da98a9e4

[ "MIT" ]

null

sudoku/network/__init__.py

kevinddchen/sudoku

135b47ffcfade88628acabacd0a2c916da98a9e4

[ "MIT" ]

null

from .metrics import Mean from .model import get_model, init_weights, checkpoint_path, save_weights, load_weights from .utils import TimeEstimator

36.75

87

0.843537

21

147

5.666667

0.666667

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147

3

88

49

0.908397

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c8d932a6267fb37e56b3ddab442d3d19654e2e1c

1,550

py

Python

backend/pollaris/app/migrations/0009_search_log_address_fields.py

Elizabeth-Warren/pollaris

153ca4297ceed1ac1685ca80c5890384800cfa8a

[ "MIT" ]

78

2020-03-27T14:49:11.000Z

2021-11-15T10:24:11.000Z

backend/pollaris/app/migrations/0009_search_log_address_fields.py

Elizabeth-Warren/pollaris

153ca4297ceed1ac1685ca80c5890384800cfa8a

[ "MIT" ]

10

2020-06-06T01:47:56.000Z

2022-02-27T23:34:30.000Z

backend/pollaris/app/migrations/0009_search_log_address_fields.py

Elizabeth-Warren/pollaris

153ca4297ceed1ac1685ca80c5890384800cfa8a

[ "MIT" ]

14

2020-03-27T17:36:30.000Z

2020-05-21T04:50:07.000Z

# Generated by Django 2.2.6 on 2019-12-18 18:40 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("app", "0008_searchlog")] operations = [ migrations.RemoveField(model_name="searchlog", name="address_entered"), migrations.AddField( model_name="searchlog", name="search_string", field=models.CharField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name="searchlog", name="city", field=models.CharField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name="searchlog", name="state_code", field=models.CharField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name="searchlog", name="street", field=models.CharField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name="searchlog", name="street_number", field=models.CharField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name="searchlog", name="zip5", field=models.CharField(blank=True, max_length=1024, null=True), ), migrations.AddField( model_name="searchlog", name="zip9", field=models.CharField(blank=True, max_length=1024, null=True), ), ]

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79

0.57871

157

1,550

5.585987

0.286624

0.082098

0.164196

0.200684

0.732041

0.686431

0

0.045078

0.29871

1,550

47

80

32.978723

0.76173

0.029032

0

0.682927

1

0

0.105123

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1

0

false

0

0.02439

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0.097561

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null

0

1

0

1

0

1

0

1

0

null

0

4

c8eefbed12582be0be1e21e8ef04315f6b66b0fb

254

py

Python

src/vmcontroller.host/vmcontroller/__init__.py

dgquintas/vmcontroller.unstable

131c0af19c5923ef57c74006246dc41c65f24120

[ "BSD-3-Clause" ]

null

src/vmcontroller.host/vmcontroller/__init__.py

dgquintas/vmcontroller.unstable

131c0af19c5923ef57c74006246dc41c65f24120

[ "BSD-3-Clause" ]

null

src/vmcontroller.host/vmcontroller/__init__.py

dgquintas/vmcontroller.unstable

131c0af19c5923ef57c74006246dc41c65f24120

[ "BSD-3-Clause" ]

null

""" VMController, a general purpose virtual machine controller written in Python. """ try: __import__('pkg_resources').declare_namespace(__name__) except ImportError: from pkgutil import extend_path __path__ = extend_path(__path__, __name__)

28.222222

77

0.775591

29

254

5.965517

0.793103

0.115607

0.16185

0

0.141732

254

8

78

31.75

0.793578

0.30315

0

0.076923

0

1

0

false

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

cdb4a6d95491699c1b485bca258a0136a0c97cfc

37

py

Python

contest/abc157/A.py

mola1129/atcoder

1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db

[ "MIT" ]

null

contest/abc157/A.py

mola1129/atcoder

1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db

[ "MIT" ]

null

contest/abc157/A.py

mola1129/atcoder

1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db

[ "MIT" ]

null

n = int(input()) print((n + 1) // 2)

12.333333

19

0.459459

7

37

2.428571

0.857143

0

0.068966

0.216216

37

2

20

18.5

0.517241

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

b542945d654105b84402434256f6471a89ecf0ef

843

py

Python

prtgrestcli/__init__.py

zeent/pyprtgrestcli

88acc5a147b6743003bf1fd970ef942ac24e74a3

[ "MIT" ]

null

prtgrestcli/__init__.py

zeent/pyprtgrestcli

88acc5a147b6743003bf1fd970ef942ac24e74a3

[ "MIT" ]

null

prtgrestcli/__init__.py

zeent/pyprtgrestcli

88acc5a147b6743003bf1fd970ef942ac24e74a3

[ "MIT" ]

null

__author__ = 'zeent' from prtgrestcli.models import PrtgResult from prtgrestcli.models import PrtgHTTPPushDataAdvancedSensor from prtgrestcli.models import PrtgSensorData from prtgrestcli.models import PrtgProbe from prtgrestcli.enums import PrtgErrorCodes from prtgrestcli.enums import PrtgUnits from prtgrestcli.enums import PrtgSizes from prtgrestcli.enums import PrtgSpeedTimes from prtgrestcli.enums import PrtgModes from prtgrestcli.enums import PrtgDecimalModes from prtgrestcli.exceptions import PrtgException from prtgrestcli.exceptions import PrtgBadRequest from prtgrestcli.exceptions import PrtgBadTarget from prtgrestcli.exceptions import PrtgUnknownResponse from prtgrestcli.exceptions import PrtgTooManyChannelsInSensorData from prtgrestcli.exceptions import PrtgUnsupportedHTTPMethod from prtgrestcli.models import MAX_RESULTS

44.368421

66

0.892052

88

843

8.488636

0.295455

0.341365

0.160643

0.208835

0

0.084223

843

18

67

46.833333

0.967617

0

0.005931

0

1

0

false

0

0.944444

0

0.944444

0

null

1

0

1

0

null

0

1

0

1

0

4

b550d0fb0a87dcec44f1c934e85e84896fa11d2f

280

py

Python

PAPC/models/classify/__init__.py

AgentMaker/PAPC

f5f385c6fed53d2ca2599171a317efaac348dfb5

[ "MIT" ]

70

2021-02-20T03:44:38.000Z

2022-01-17T12:55:45.000Z

PAPC/models/classify/__init__.py

AgentMaker/PAPC

f5f385c6fed53d2ca2599171a317efaac348dfb5

[ "MIT" ]

1

2021-02-20T05:26:14.000Z

2021-02-20T13:22:13.000Z

PAPC/models/classify/__init__.py

AgentMaker/PAPC

f5f385c6fed53d2ca2599171a317efaac348dfb5

[ "MIT" ]

8

2021-02-20T03:35:25.000Z

2022-02-08T03:22:55.000Z

from .voxnet.voxnet import VoxNet from .kdnet.kdnet import KDNet from .pointnet_base.pointnet_base import PointNet_Basic_Clas from .pointnet.pointnet_Conv1D import PointNet_Clas from .vfe.vfe import VFE_Clas from .pointnet2.pointnet2 import PointNet2_SSG_Clas, PointNet2_MSG_Clas

40

71

0.864286

42

280

5.5

0.309524

0.103896

0

0.019608

0.089286

280

6

72

46.666667

0.886275

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

b551f7b7209b2b7abe6317e77a474034d231aaaf

1,150

py

Python

freegames/rolling.py

Monsieurvishal/free-python-games

386e1443bd15e986dd192a863af8589811f29feb

[ "Apache-2.0" ]

null

freegames/rolling.py

Monsieurvishal/free-python-games

386e1443bd15e986dd192a863af8589811f29feb

[ "Apache-2.0" ]

null

freegames/rolling.py

Monsieurvishal/free-python-games

386e1443bd15e986dd192a863af8589811f29feb

[ "Apache-2.0" ]

null

#simulation type for rolling of dice #Loop so that pressing space bar rolls again. #Add a constant to vary the number of dice that are rolled. #Find a way to animate the roll of dice. import random number=random.randint(1,6) if number==1: print("|------------|") print("| |") print("| 1 |") print("| |") print("|------------|") if number==2: print("|------------|") print("| |") print("| 2 |") print("| |") print("|------------|") if number==3: print("|------------|") print("| |") print("| 3 |") print("| |") print("|------------|") if number==4: print("|------------|") print("| |") print("| 4 |") print("| |") print("|------------|") if number==5: print("|------------|") print("| |") print("| 5 |") print("| |") print("|------------|") if number==6: print("|------------|") print("| |") print("| 6 |") print("| |") print("|------------|")

26.136364

59

0.334783

96

1,150

4.010417

0.395833

0.467532

0.233766

0

0.018945

0.357391

1,150

43

60

26.744186

0.50203

0.153043

0

0.631579

0

0.43299

0

1

0

false

0

0.026316

0

0.026316

0.789474

0

null

1

0

null

0

1

0

4

b58b758888e68269e453052a53ca3c4be570691b

296

py

Python

primitives_ubc/clfyMLP/__init__.py

tonyjo/ubc_primitives

bc94a403f176fe28db2a9ac9d1a48cb9db021f90

[ "Apache-2.0" ]

null

primitives_ubc/clfyMLP/__init__.py

tonyjo/ubc_primitives

bc94a403f176fe28db2a9ac9d1a48cb9db021f90

[ "Apache-2.0" ]

4

2020-07-19T00:45:29.000Z

2020-12-10T18:25:41.000Z

primitives_ubc/clfyMLP/__init__.py

tonyjo/ubc_primitives

bc94a403f176fe28db2a9ac9d1a48cb9db021f90

[ "Apache-2.0" ]

1

2021-04-30T18:13:49.000Z

from .mlpClfy import MultilayerPerceptronClassifierPrimitive from .dataset import Dataset_1 from .dataset import Dataset_2 __all__ = ['MultilayerPerceptronClassifierPrimitive', 'Dataset_1', 'Dataset_2'] from pkgutil import extend_path __path__ = extend_path(__path__, __name__) # type: ignore

32.888889

79

0.827703

32

296

6.96875

0.4375

0.098655

0.152466

0.215247

0

0.015094

0.10473

296

8

80

37

0.826415

0.040541

0

0.202128

0.138298

0

1

0

false

0

0.666667

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

4

b597e21226787a321d70f767181fd6b38ee8d01b

275

py

Python

07. Functions/099.py

MaksonViini/Aprendendo-Python

8d8422f793e4ea9f81fa4ed0e4101bcfc2ba3c99

[ "MIT" ]

1

2020-09-20T23:18:47.000Z

07. Functions/099.py

MaksonViini/Aprendendo-Python

8d8422f793e4ea9f81fa4ed0e4101bcfc2ba3c99

[ "MIT" ]

null

07. Functions/099.py

MaksonViini/Aprendendo-Python

8d8422f793e4ea9f81fa4ed0e4101bcfc2ba3c99

[ "MIT" ]

1

2020-09-20T23:18:49.000Z

# Função que descobre o maior def maior (*valor): print("-=-" * 15) print("Analisando os valores passados...") print(f"{valor} Foram informados {len(valor)} ao todo ") print(f"O maior valor informado foi {max(valor)} ") print("-=-" * 15) maior(1, 2, 3, 5)

34.375

60

0.610909

40

275

4.2

0.65

0.071429

0.142857

0

0.03653

0.203636

275

8

61

34.375

0.730594

0.098182

0

0.285714

0

0.510121

0

1

0.142857

true

0.142857

0

0.142857

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

b599b06682c8f307938e1aec8b37fc1bd3477abb

301

py

Python

ndungu/admin.py

acounsel/django_ndungu

e8f2ad05fae7f00d75a698e3998780265bb66e64

[ "MIT" ]

null

ndungu/admin.py

acounsel/django_ndungu

e8f2ad05fae7f00d75a698e3998780265bb66e64

[ "MIT" ]

null

ndungu/admin.py

acounsel/django_ndungu

e8f2ad05fae7f00d75a698e3998780265bb66e64

[ "MIT" ]

null

from django.contrib import admin from .models import Province, Municipality, Authority, Entity, UseCase, Allocation admin.site.register(Province) admin.site.register(Municipality) admin.site.register(Authority) admin.site.register(Entity) admin.site.register(UseCase) admin.site.register(Allocation)

30.1

82

0.830565

38

301

6.578947

0.368421

0.216

0.408

0

0.066445

301

9

83

33.444444

0.88968

0

1

0

true

0

0.25

0

0.25

0

null

1

0

1

0

null

0

1

0

4

a9280c98942bb9177f7c8d4ddda762d9942e79aa

150

py

Python

messenger_client/templates.py

apollotechnologies/messenger-client

77d57b4e01a4616a4c87b2f5fd3368112b2dbb70

[ "MIT" ]

null

messenger_client/templates.py

apollotechnologies/messenger-client

77d57b4e01a4616a4c87b2f5fd3368112b2dbb70

[ "MIT" ]

null

messenger_client/templates.py

apollotechnologies/messenger-client

77d57b4e01a4616a4c87b2f5fd3368112b2dbb70

[ "MIT" ]

null

"""A list of structured message templates supported by the platform. For unstructured content see content_types""" class Template(object): pass

25

114

0.773333

20

150

5.75

0.95

0

0.16

150

5

115

30

0.912698

0.72

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

a92aebacf77c891c3a2bb482828feae5e9044be4

289

py

Python

pytpp/attributes/ssh_certificate_create_public_key_action.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

4

2022-02-04T23:58:55.000Z

2022-02-15T18:53:08.000Z

pytpp/attributes/ssh_certificate_create_public_key_action.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

pytpp/attributes/ssh_certificate_create_public_key_action.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

from pytpp.attributes._helper import IterableMeta from pytpp.attributes.flow_action_base import FlowActionBaseAttributes class SSHCertificateCreatePublicKeyActionAttributes(FlowActionBaseAttributes, metaclass=IterableMeta): __config_class__ = "SSH Certificate Create Public Key Action"

41.285714

102

0.882353

27

289

9.148148

0.703704

0.072874

0.153846

0

0.076125

289

6

103

48.166667

0.925094

0

0.138408

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a946e10c4c29dcf5ad749d1c42f8663c304c64b3

75

py

Python

custom_components/acthor/acthor/__init__.py

jatty/hass-acthor

9d5aaed3f01e9288fef031b47b0808e6e80c22d3

[ "MIT" ]

null

custom_components/acthor/acthor/__init__.py

jatty/hass-acthor

9d5aaed3f01e9288fef031b47b0808e6e80c22d3

[ "MIT" ]

null

custom_components/acthor/acthor/__init__.py

jatty/hass-acthor

9d5aaed3f01e9288fef031b47b0808e6e80c22d3

[ "MIT" ]

null

from .client import ACThor, ACThorRegisters, OverrideMode, test_connection

37.5

74

0.853333

8

75

7.875

1

0

0.093333

75

1

75

0.926471

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a984549a4949e421b7473a6205435efd08e60091

57

py

Python

agent/bot/lib/__init__.py

Vexvain/ODIN

7538f9a12fef906cdd7aaf3df9341da7b3edbbc1

[ "MIT" ]

null

agent/bot/lib/__init__.py

Vexvain/ODIN

7538f9a12fef906cdd7aaf3df9341da7b3edbbc1

[ "MIT" ]

null

agent/bot/lib/__init__.py

Vexvain/ODIN

7538f9a12fef906cdd7aaf3df9341da7b3edbbc1

[ "MIT" ]

null

# Date: 06/02/2018 # Author: :) # Description: __init__

14.25

23

0.649123

7

57

4.714286

1

0

0.170213

0.175439

57

3

24

19

0.531915

0.877193

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

8d12a9f6a7d0465ed7e30d90bda46a961e081aa1

149

py

Python

reddit2telegram/channels/moviepostertg/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/moviepostertg/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/moviepostertg/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

#encoding:utf-8 subreddit = 'MoviePosterPorn' t_channel = '@MoviePosterTG' def send_post(submission, r2t): return r2t.send_simple(submission)

16.555556

38

0.758389

18

149

6.111111

0.833333

0

0.023077

0.127517

149

8

39

18.625

0.823077

0.09396

0

0.216418

0

1

0.25

false

0

0.25

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8d2939ce938f0684aaaf732da06db3e8e01dd6de

97

py

Python

crypt.py

Albert-ZCY/crypthon

69eba227219b3402a8c9df44d4560378b75803c8

[ "Apache-2.0" ]

null

crypt.py

Albert-ZCY/crypthon

69eba227219b3402a8c9df44d4560378b75803c8

[ "Apache-2.0" ]

null

crypt.py

Albert-ZCY/crypthon

69eba227219b3402a8c9df44d4560378b75803c8

[ "Apache-2.0" ]

null

# This is the key part of the project. # To protect the users' copyright, it is keeping secrecy.

48.5

57

0.742268

17

97

4.235294

0.823529

0

0.195876

97

2

57

48.5

0.923077

0.948454

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

8d69b9bbaecbcc33695a096621e1798fae30f89f

116

py

Python

bot/checks/attributes.py

velian/DSAbot

7491c90ca3ecd30ea023bb039e31c6053f2bdfef

[ "MIT" ]

1

2021-05-10T12:45:01.000Z

bot/checks/attributes.py

velian/DSAbot

7491c90ca3ecd30ea023bb039e31c6053f2bdfef

[ "MIT" ]

46

2020-08-13T14:52:53.000Z

2021-06-08T15:26:40.000Z

bot/checks/attributes.py

Fidge123/DSAbot

7491c90ca3ecd30ea023bb039e31c6053f2bdfef

[ "MIT" ]

null

class Attributes(list): def __str__(self) -> str: return "".join("{:>4}".format(attr) for attr in self)

29

61

0.603448

16

116

4.125

0.8125

0

0.01087

0.206897

116

3

62

38.666667

0.706522

0

0.043103

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4