xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

194e3a6635255674f63ea891d7cd6ab9582ffe8d

220

py

Python

sthima/todo/views.py

bratomes/work-at-sthima

28f3a60153001169f101cbe11f1755f3bfe103e3

[ "MIT" ]

null

sthima/todo/views.py

bratomes/work-at-sthima

28f3a60153001169f101cbe11f1755f3bfe103e3

[ "MIT" ]

null

sthima/todo/views.py

bratomes/work-at-sthima

28f3a60153001169f101cbe11f1755f3bfe103e3

[ "MIT" ]

null

from django.shortcuts import render from django.views.generic import View class TodoView(View): """ Todo list app index view """ def get(self, request): return render(request, 'todo/todo.html')

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1956558a70a0d91ffb1dcf961883d8f57daffd67

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py

Python

HW6/HOhorodnyk/CW4.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

null

HW6/HOhorodnyk/CW4.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

null

HW6/HOhorodnyk/CW4.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

6

2022-02-22T22:30:49.000Z

2022-03-28T12:51:19.000Z

def number_to_string(num): num_new = str(num) return num_new

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195cb7b69dd0a3748404da67280751e25ac8624b

453

py

Python

captchabreaker/views/__init__.py

arthurwozniak/CaptchaBreaker

697daa0bc592bf3ac7b4711d821c4387b129b334

[ "MIT" ]

1

2020-08-08T22:27:30.000Z

captchabreaker/views/__init__.py

arthurwozniak/CaptchaBreaker

697daa0bc592bf3ac7b4711d821c4387b129b334

[ "MIT" ]

null

captchabreaker/views/__init__.py

arthurwozniak/CaptchaBreaker

697daa0bc592bf3ac7b4711d821c4387b129b334

[ "MIT" ]

null

from .classificators import blueprint as classificators_blueprint from .datasets import blueprint as datasets_blueprint from .overview import blueprint as overview_blueprint from .general import blueprint as general_blueprint from .demo import blueprint as demo_blueprint def blueprints(): return [classificators_blueprint, datasets_blueprint, demo_blueprint, overview_blueprint, general_blueprint]

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195cf715d18c35f0313d180907ebe77d4eee4a38

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py

Python

matchlib/__init__.py

qweeze/matchlib

1352dac0eff654fa6f219d53c76bc03213424d88

[ "MIT" ]

12

2019-02-17T20:36:37.000Z

2021-08-25T07:10:25.000Z

matchlib/__init__.py

qweeze/matchlib

1352dac0eff654fa6f219d53c76bc03213424d88

[ "MIT" ]

1

2020-12-20T17:47:17.000Z

2020-12-20T20:47:36.000Z

matchlib/__init__.py

qweeze/matchlib

1352dac0eff654fa6f219d53c76bc03213424d88

[ "MIT" ]

null

from .main import matches, Partial, Regex, Any __all__ = [ 'matches', 'Partial', 'Regex', 'Any', ]

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5

197b108260b19ec350316199533b6f2fbf3e5705

56

py

Python

nu/v3/Membranes/__init__.py

bullgom/pysnn2

dad5ae26b029afd5c5bf76fe141249b0f7b7a36c

[ "MIT" ]

null

nu/v3/Membranes/__init__.py

bullgom/pysnn2

dad5ae26b029afd5c5bf76fe141249b0f7b7a36c

[ "MIT" ]

null

nu/v3/Membranes/__init__.py

bullgom/pysnn2

dad5ae26b029afd5c5bf76fe141249b0f7b7a36c

[ "MIT" ]

null

from .Mv2 import Mv2 from .RateFiring import RateFiring

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0

5

197b5fe7e99d6cea630df0a98b12d897395f5c7f

42

py

Python

homeassistant/components/irish_rail_transport/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/irish_rail_transport/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

homeassistant/components/irish_rail_transport/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""The irish_rail_transport component."""

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5

1986f5c6655e3404f396fa0dc15cc7afa24ff88e

322

py

Python

src/a01/output/__init__.py

Azure/adx-automation-client

53ba242d76cccdf923b75f46e980028870e2effc

[ "MIT" ]

3

2018-02-28T06:22:39.000Z

2020-05-20T12:39:00.000Z

src/a01/output/__init__.py

Azure/adx-automation-client

53ba242d76cccdf923b75f46e980028870e2effc

[ "MIT" ]

19

2018-02-26T21:13:43.000Z

2018-05-02T16:33:35.000Z

src/a01/output/__init__.py

Azure/adx-automation-client

53ba242d76cccdf923b75f46e980028870e2effc

[ "MIT" ]

6

2018-02-26T18:10:31.000Z

2020-12-30T10:21:31.000Z

# pylint: disable=unused-import from .table_format import output_in_table from .command_output import CommandOutput from .task_output import TaskBriefOutput, TaskLogOutput, TasksSummary, TasksOutput from .table_output import TableOutput from .sequential_output import SequentialOutput from .json_output import JsonOutput

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1992235162960546f2add0f4de74bce7d1de449b

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py

Python

buzzbnb/base/models/__init__.py

AmidBidee/buzzbnb

632b44096229a9e346f57e918bc8d6f2d777e143

[ "CC0-1.0" ]

null

buzzbnb/base/models/__init__.py

AmidBidee/buzzbnb

632b44096229a9e346f57e918bc8d6f2d777e143

[ "CC0-1.0" ]

null

buzzbnb/base/models/__init__.py

AmidBidee/buzzbnb

632b44096229a9e346f57e918bc8d6f2d777e143

[ "CC0-1.0" ]

null

from .album import Album from .artist import Artist from .category import Categorie from .genre import Genre from .song import Song

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5

2715af23dcd4330c5e568f0b6ba4c5148d65f1f5

101

py

Python

RNAPuzzles/RNAPuzzles/__init__.py

whinyadventure/RNA-Puzzles

bbd147e1a0748a77b5e3424a93ad57bb430b5a0e

[ "Apache-2.0" ]

null

RNAPuzzles/RNAPuzzles/__init__.py

whinyadventure/RNA-Puzzles

bbd147e1a0748a77b5e3424a93ad57bb430b5a0e

[ "Apache-2.0" ]

26

2019-10-08T11:11:25.000Z

2022-03-12T00:52:30.000Z

RNAPuzzles/RNAPuzzles/__init__.py

whinyadventure/RNA-Puzzles

bbd147e1a0748a77b5e3424a93ad57bb430b5a0e

[ "Apache-2.0" ]

1

2020-05-11T18:51:04.000Z

from __future__ import absolute_import from .celery import app as celery_app __all_ = ('celery_app')

25.25

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5

273539d230a9959d7f616b12a0cee81e522bb071

152

py

Python

Diena_16_misc/hello_vs.py

edzya/Python_RTU_08_20

d2921d998c611c18328dd523daf976a27ce858c1

[ "MIT" ]

8

2020-08-31T16:10:54.000Z

2021-11-24T06:37:37.000Z

Diena_16_misc/hello_vs.py

edzya/Python_RTU_08_20

d2921d998c611c18328dd523daf976a27ce858c1

[ "MIT" ]

8

2021-06-08T22:30:29.000Z

2022-03-12T00:48:55.000Z

Diena_16_misc/hello_vs.py

edzya/Python_RTU_08_20

d2921d998c611c18328dd523daf976a27ce858c1

[ "MIT" ]

12

2020-09-28T17:06:52.000Z

2022-02-17T12:12:46.000Z

print("Hello World!") print("Hello there!") print() # how is the sound when I am typing can you guys hear me ? # how is this keyboard when I am typing

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5

2743f460aa81bba986f522d43894387248c00382

151

py

Python

Practice/AllDomains/Languages/Python/Strings/StringSplitandJoin.py

DHS009/HackerRankSolutions

cc74ecc436c4d3e8ca7d62986a7cbe482f3c24ba

[ "MIT" ]

15

2017-11-10T06:20:22.000Z

2022-03-20T15:33:19.000Z

Practice/AllDomains/Languages/Python/Strings/StringSplitandJoin.py

DHS009/HackerRankSolutions

cc74ecc436c4d3e8ca7d62986a7cbe482f3c24ba

[ "MIT" ]

1

2018-12-12T15:12:33.000Z

Practice/AllDomains/Languages/Python/Strings/StringSplitandJoin.py

DHS009/HackerRankSolutions

cc74ecc436c4d3e8ca7d62986a7cbe482f3c24ba

[ "MIT" ]

9

2017-07-28T12:54:19.000Z

2021-08-13T12:00:08.000Z

#/* author:@shivkrthakur */ # Enter your code here. Read input from STDIN. Print output to STDOUT print "-".join([a for a in raw_input().split(" ")])

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2757306f7321a2ebbd51e5cbce98851ddce4a4a4

269

py

Python

bflib/items/containers/__init__.py

ChrisLR/BasicDungeonRL

b293d40bd9a0d3b7aec41b5e1d58441165997ff1

[ "MIT" ]

3

2017-10-28T11:28:38.000Z

2018-09-12T09:47:00.000Z

bflib/items/containers/__init__.py

ChrisLR/BasicDungeonRL

b293d40bd9a0d3b7aec41b5e1d58441165997ff1

[ "MIT" ]

null

bflib/items/containers/__init__.py

ChrisLR/BasicDungeonRL

b293d40bd9a0d3b7aec41b5e1d58441165997ff1

[ "MIT" ]

null

from bflib.items.containers.common import ( Backpack, BeltPouch, Chest, LargeSack, Saddlebags, SmallBackpack, SmallSack ) from bflib.items.containers.liquid import GlassBottle, Vial, Waterskin from bflib.items.containers.special import BoltCase, Quiver, ScrollCase

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27675e805b716a9eb0572a45ed13ff622d9c6ffb

143

py

Python

topCoder/srms/400s/srm440/div2/incredible_machine_easy.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

25

2015-01-21T16:39:18.000Z

2021-05-24T07:01:24.000Z

topCoder/srms/400s/srm440/div2/incredible_machine_easy.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

2

2020-09-30T19:39:36.000Z

2020-10-01T17:15:16.000Z

topCoder/srms/400s/srm440/div2/incredible_machine_easy.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

15

2015-01-21T16:39:27.000Z

2020-10-01T17:00:22.000Z

class IncredibleMachineEasy: def gravitationalAcceleration(self, height, T): return (sum((2 * h) ** 0.5 for h in height) / T) ** 2

35.75

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4.842105

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5

27b17ae265416f5d1fd69f6a8fb1712e22f10a01

81

py

Python

src/__main__.py

gabfl/redis-priority-queue

e358b9ed6ff65b8c0072ff9e500cdd3fe5d18a7c

[ "MIT" ]

28

2016-12-17T01:33:54.000Z

2022-03-27T09:13:17.000Z

src/__main__.py

gabfl/redis-priority-queue

e358b9ed6ff65b8c0072ff9e500cdd3fe5d18a7c

[ "MIT" ]

6

2018-05-25T13:21:24.000Z

2022-01-25T00:11:21.000Z

src/__main__.py

gabfl/redis-priority-queue

e358b9ed6ff65b8c0072ff9e500cdd3fe5d18a7c

[ "MIT" ]

7

2017-01-30T15:11:11.000Z

2021-03-07T06:37:07.000Z

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

16.2

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0.17284

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true

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null

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1

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1

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5

27d4603debede52b22a957f9ef853aca563cbc8c

60

py

Python

api/weather/yandex/__init__.py

artslob/artslob-bot

41c8b7f7f37e60369a3fa219db665de7d3e52ece

[ "MIT" ]

null

api/weather/yandex/__init__.py

artslob/artslob-bot

41c8b7f7f37e60369a3fa219db665de7d3e52ece

[ "MIT" ]

null

api/weather/yandex/__init__.py

artslob/artslob-bot

41c8b7f7f37e60369a3fa219db665de7d3e52ece

[ "MIT" ]

null

from .yandex import YandexWeather from .exceptions import *

20

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0.714286

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0.133333

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1

0

5

27f10c60087d9bdcf6c12dc5e735d086ee0327ee

276

py

Python

snipar/tests/__init__.py

AlexTISYoung/snipar

dfb5beb96ce82aebac156f0b230109609393172d

[ "MIT" ]

1

2019-10-18T13:49:37.000Z

snipar/tests/__init__.py

AlexTISYoung/snipar

dfb5beb96ce82aebac156f0b230109609393172d

[ "MIT" ]

null

snipar/tests/__init__.py

AlexTISYoung/snipar

dfb5beb96ce82aebac156f0b230109609393172d

[ "MIT" ]

null

import os from snipar.tests.test_sibreg import * from snipar.tests.test_impute_from_sibs import * from snipar.tests.test_impute import * from snipar.tests.test_pedigree_creation import * from snipar.tests.test_example import * if __name__ == '__main__': unittest.main()

25.090909

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10

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1

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5

27f2165918c18bef541c28ba976413391906c53f

104

py

Python

bitmovin_api_sdk/encoding/configurations/video/h262/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/configurations/video/h262/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/configurations/video/h262/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.configurations.video.h262.customdata.customdata_api import CustomdataApi

52

103

0.903846

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104

7

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5

fda19c165242f7d479738d913bd8e41dea3e3020

1,330

py

Python

euler/8.py

DevStarSJ/algorithmExercise

66b42c54cdd594ff3f229613fd83446f8c1f9153

[ "MIT" ]

null

euler/8.py

DevStarSJ/algorithmExercise

66b42c54cdd594ff3f229613fd83446f8c1f9153

[ "MIT" ]

null

euler/8.py

DevStarSJ/algorithmExercise

66b42c54cdd594ff3f229613fd83446f8c1f9153

[ "MIT" ]

null

# 5자리 숫자의 곱 중에서 가장 큰 값 p = [ "73167176531330624919225119674426574742355349194934", "96983520312774506326239578318016984801869478851843", "85861560789112949495459501737958331952853208805511", "12540698747158523863050715693290963295227443043557", "66896648950445244523161731856403098711121722383113", "62229893423380308135336276614282806444486645238749", "30358907296290491560440772390713810515859307960866", "70172427121883998797908792274921901699720888093776", "65727333001053367881220235421809751254540594752243", "52584907711670556013604839586446706324415722155397", "53697817977846174064955149290862569321978468622482", "83972241375657056057490261407972968652414535100474", "82166370484403199890008895243450658541227588666881", "16427171479924442928230863465674813919123162824586", "17866458359124566529476545682848912883142607690042", "24219022671055626321111109370544217506941658960408", "07198403850962455444362981230987879927244284909188", "84580156166097919133875499200524063689912560717606", "05886116467109405077541002256983155200055935729725", "71636269561882670428252483600823257530420752963450" ] import functools s = functools.reduce(lambda x,y: x+y, p) max = 0 for i in range(0,len(s)-5): v = functools.reduce(lambda x,y: x*y,[int(x) for x in s[i:i+5]]) if v > max: max = v print(max)

35

68

0.854135

73

1,330

15.561644

0.643836

0.007042

0.036972

0.038732

0.044014

0

0.813107

0.070677

1,330

37

69

35.945946

0.105987

0.015038

0

0.765697

0

1

0

false

0

0.033333

0

0.033333

0

1

null

0

1

0

1

0

1

null

0

5

fdc216b746c9f2fba117b3473811d969a4da1d53

50

py

Python

script.py

Stefwangxl/Casimir-Programming

a821f9c075cf763c91bb53e985344c8ae3ca62b9

[ "MIT" ]

null

script.py

Stefwangxl/Casimir-Programming

a821f9c075cf763c91bb53e985344c8ae3ca62b9

[ "MIT" ]

null

script.py

Stefwangxl/Casimir-Programming

a821f9c075cf763c91bb53e985344c8ae3ca62b9

[ "MIT" ]

null

import test.py print(test.area(6), test.cir(6))

10

32

0.68

10

50

3.4

0.7

0

0.045455

0.12

50

4

33

12.5

0.727273

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

fdc2ac0aab530b029b3fcca54edf48b07bce9a84

5,962

py

Python

puco/new.py

2218084076/hotpoor_autoclick_xhs

a52446ba691ac19e43410a465dc63f940c0e444d

[ "Apache-2.0" ]

1

2021-12-21T10:42:46.000Z

puco/new.py

2218084076/hotpoor_autoclick_xhs

a52446ba691ac19e43410a465dc63f940c0e444d

[ "Apache-2.0" ]

null

puco/new.py

2218084076/hotpoor_autoclick_xhs

a52446ba691ac19e43410a465dc63f940c0e444d

[ "Apache-2.0" ]

null

import pyautogui import time import json # 921.6 ''' ids=[] cards=document.getElementsByClassName("daren-card") for(i=0;i<cards.length;i++){ ids.push(cards[i].dataset["itemUid"]) } ''' id_list = [ 'a54490f3273f9172f412112cdbb35493', '144799b97ccf3f494463a9f298fed65e', '39e2b9d0b28ae81614bf110e23ef36b7', 'e3a3fd3aaaf15cb7563b723acc3b670f', '424f2540dbff65051e4b9c772c10dcc5', '636ae73fa05f5f7dd08cbec44b52686b', '0ef8fb88fd6c33e9e933cc91ae6f84e9', '89f73558e4450eff76a70b2a2b00ed70', 'ed5bbd2711213a357a79b3c2d83b4f46', '7a1e6463464a70640d0b8ffd75ffc82e', '5450f53b909d970c298139229b7eded3', '34eafa722d3caaefc47fac7f6f9cfac3', '2ff1e3b7a27c50490918ac553e55ad5a', 'cfb9102337479109e278223cffa5e177', '086da61d658b2e5db2d9636942e73d6b', '6b5dc7221d4e369451c988623c55b151', 'c008e927c56fdef1413f6b2eff94b6e1', '7c111ea647dd10b2eba196e51881c73f', '5e1a48686cf559e941f349290e87c834', '214249b4492cd5f0d97646f370809f46', '2a5f8569a17d69b7c5f258903633a995', 'b7b61babf17e065170218d46abdc7ac8', 'e72ef669fec75854b0307e19c2646881', 'fb683aff1ce2c9c6c05a0079e2ca01f6', '9c86c057572a505df34fa5c6cf505603', 'f23aa077d6208c2699c810c7b626dc17', 'c514f91ccbc4e62057d664f7e4c56cb1', '8cab5a735ec1d381a039f0d0dff2c52e', '9c1df559984e3239a57f8ced8b003af8', 'bd3dc8bcd46fabd6ddceecbca58a1e0b', '0cc4fdc949e75c70974ccd8d4948ab08', '0874a46b9b7612494cfe38d0ef77667a', 'e1ca5ccfd718baede435dac8d2ca961a', '0fbe15b925d15ebe84c75c623d60f8b7', 'ad73b0eb0a13ecf53de9c636868fd5b8', '7d2e43a076ffd475d0b8cdade873ed7d', 'fb029c9ee92947789a70e0998f707f6d', '72549be604a326d08d4152e8d29979d7', '91fc7ce0e6df8d2661c209e0d1d6c31e', '7c00752f9723449c86d06494f73bb482', 'fa4a9cd615186e9cbea467aa92a94c8d', '7880164a12bdedbab67078177e3b1611', '50062d74499a5a38bb5f3e91553ae9cc', '76e5e189cc5fa3605b642ba154fb5fe4', 'd7bd6d96cd0ba8ba2cdb7dfaa9e5adda', 'd987181d71650f8fd242c7fc253d3d28', '63aaba7a1500215e85d8fbb3c82c4a87', 'db968a55fe28ce15925f5ff0fd7db44c', '2531df8bd290dbc1667aa1d67b7a5ac4', 'b7da9a60581dea3d705659e094954fa5', '4ccecd47d3d340682ed3f7328ab0064b', 'd07d8d8bc6839850be18d0bb50d0b205', 'f44f112747c00071d81d1d6def8fb459', '8737e63f328902f56a49a5840785102e', '7eca039ebee629540f95433727e88a3e', 'ae0b30aa806f8a25ff2fa073e69d2822', '6c630104d3e2789accdae5246fb3d630', '07f33529a73d4064c0d870f1b0d8e459', 'b4233e066fb5e9d867669aa9034e9897', 'c2f28ca3104a91d895f86a6c764b0735', '8a770bca0de3383a4edb2c64bad5c3ad', '0c9e0cbb32f57c5b0419062b0c7270b1', '1f3b19dcb2dcd522f0918706ba250622', 'd1858da5baeed8eb3d3ee328a9d237c2', '775423e1f307b34754d503d7f9382198', 'fc8d4c19b58862b01abc11d2e7e70bd9', 'c370c9fd511de34bc4f161600e105959', '793ba34bc8e136c6ce66d0d8023d783c', 'ae98443f549d94deebf88023ead25768', '3774778ef6836d7edd80af6194b3ee21', '104615fd19ead73e49689e5430ee0d05', '75b0e92855046ffa6bee5cb951c06d17', 'a861702db6d234de13c6b7bdb8fb00e6', '476966da4a9a32cf0ea1a6d74a2ca7ec', 'f2cffa153d125f3cf682c9fc1408d598', '66d7efeac0eb328ec3d5df76d8c778a1', '6d1fd508688ed7bce9867659fa2df77f', 'ce2cd8ac691de9242b01f411140250df', '0e2717df09e827b3e9df1dd6f57adc49', '491e69112264c41da305575746856d08', '5133ca2b8a8957c70d8bebe7173748d6', '11b91ba14171d3acefbe2a1adef9e45e', 'e959c6c7fb6e9b281ae7ad121ee933f5', '2910b1f6ccefab98812cfe58f69cfbb2', '969c71955d195b4387fde6e4b94225a3', 'dedd268106e247d089a17e3d56197a82', '6330fffc058f0c8042a53ba13f3ade3c', 'b7b6e1cf25ac2875ad8aed85b6e1ce4f', '0abfe8f7d92768cf62860485a96539c7', '80c8c6fdcd22fa8a9bbb007ba162df0e', '89b28f4c1c64c02d891b7877ad153dd4', 'f81497600517d22da705a165fb0bb065', '11c6a3c6f08492ff344dd567721917b9', '17c1e0872a9f0da10758fddbaa68aacf', 'f7d64f2c8cb6d9cb699efd8d649ded5f', 'ae01e32f45cb353181048c455e85b2b9', 'd67d8c6c8df0c4e869098e47c925b8d8', 'cc0eb154f9a00f20b11174a5247ced6a', 'f978ffdc52473397e35104ad27dafef7', '173de73a1899319d7a8b40877e3c5369' ] url_list=[] news_urls = [] print('url_list',len(id_list)) news_ids = [] for id in id_list: if id not in news_ids: news_ids.append(id) print('news_ids:',len(news_ids)) url = 'https://buyin.jinritemai.com/dashboard/servicehall/daren-profile?uid=' for i in news_ids: user_url = url + i url_list.append(user_url) num = 1 for n in range(0,100): if url_list[n] not in news_urls: news_urls.append(url_list[n]) pyautogui.moveTo(x=617,y=74,duration=0.3) pyautogui.click(x=617,y=74,button='left') pyautogui.hotkey('ctrl','l') pyautogui.typewrite(f'{url_list[n]}') pyautogui.keyDown('enter') time.sleep(8) pyautogui.moveTo(x=1209,y=178,duration=0.3) pyautogui.click(x=1209,y=178, button='left') time.sleep(0.5) pyautogui.moveTo(x=1209,y=178,duration=0.3) pyautogui.click(x=1209,y=178,button='left') time.sleep(0.5) pyautogui.moveTo(x=1324,y=819,duration=0.3) pyautogui.click(x=1324,y=819,button='left') time.sleep(0.5) pyautogui.typewrite('document.getElementsByClassName("contact-btn")[0].click()') pyautogui.keyDown('enter') time.sleep(2) pyautogui.typewrite('document.getElementsByClassName("add-product-operate")[0].getElementsByTagName("button")[0].click()') pyautogui.keyDown('enter') time.sleep(0.5) pyautogui.moveTo(x=350,y=535,duration=0.3) pyautogui.click(x=350,y=535,button='left') time.sleep(0.5) pyautogui.moveTo(x=241,y=490,duration=0.3) pyautogui.click(x=241,y=490,button='left') time.sleep(0.5) # pyautogui.typewrite('document.getElementsByClassName("ant-checkbox")[0].getElementsByTagName("input")[0].click()') # pyautogui.keyDown('enter') # time.sleep(2) pyautogui.moveTo(x=781,y=848,duration=0.3) pyautogui.click(x=781,y=848,button='left') time.sleep(0.5) pyautogui.moveTo(x=962,y=984,duration=0.3) pyautogui.click(x=962,y=984,button='left') time.sleep(3) print(num) print(url_list[n]) num+=1

64.804348

719

0.785978

445

5,962

10.483146

0.417978

0.021222

0.027438

0.032583

0.152197

0.145766

0.113612

0.102036

0.066452

0

0.394288

0.095606

5,962

92

720

64.804348

0.470883

0.027004

0

0.225806

0

0.619611

0.592933

0

1

0

false

0

0.048387

0

0.048387

0.064516

0

1

null

0

1

0

1

0

1

null

0

5

fde3bc7a4222007ce319630de0b8b961597cd546

8,887

py

Python

test/tracecontext/test_traceparent.py

w3c/tracecontext-spec

cd1c099bda3192cd227b513413fd0cd9909793fb

[ "Apache-2.0" ]

39

2017-04-07T01:45:56.000Z

2018-01-02T11:30:07.000Z

test/tracecontext/test_traceparent.py

TraceContext/tracecontext-spec

84b583d86ecb7005a9eab8fed86ab7117b050b48

[ "Apache-2.0" ]

38

2017-04-07T01:45:51.000Z

2018-01-02T16:41:10.000Z

test/tracecontext/test_traceparent.py

w3c/tracecontext-spec

cd1c099bda3192cd227b513413fd0cd9909793fb

[ "Apache-2.0" ]

8

2017-03-22T07:54:04.000Z

2017-12-06T19:03:56.000Z

import unittest from tracecontext import BaseTraceparent, Traceparent class BaseTraceparentTest(unittest.TestCase): def test_ctor_default(self): traceparent = BaseTraceparent() self.assertEqual(traceparent.version, 0) self.assertEqual(traceparent.trace_id, b'\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0') self.assertEqual(traceparent.parent_id, b'\0\0\0\0\0\0\0\0') self.assertEqual(traceparent.trace_flags, 0) def test_ctor(self): self.assertRaises(ValueError, lambda: BaseTraceparent(version = 0xff)) def test_ctor_with_variadic_arguments(self): traceparent = BaseTraceparent(0, None, None, 0, 'foo', 'bar', 'baz') def test_version_limit(self): traceparent = BaseTraceparent(version = 0) self.assertEqual(traceparent.version, 0) traceparent = BaseTraceparent(version = 254) self.assertEqual(traceparent.version, 254) self.assertRaises(ValueError, lambda: BaseTraceparent(version = -1)) self.assertRaises(ValueError, lambda: BaseTraceparent(version = 255)) def test_trace_id_limit(self): traceparent = BaseTraceparent(trace_id = b'\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0') self.assertEqual(traceparent.trace_id, b'\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0') self.assertRaises(ValueError, lambda: BaseTraceparent(trace_id = b'\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0')) self.assertRaises(ValueError, lambda: BaseTraceparent(trace_id = b'\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0')) def test_parent_id_limit(self): traceparent = BaseTraceparent(parent_id = b'\0\0\0\0\0\0\0\0') self.assertEqual(traceparent.parent_id, b'\0\0\0\0\0\0\0\0') self.assertRaises(ValueError, lambda: BaseTraceparent(parent_id = b'\0\0\0\0\0\0\0')) self.assertRaises(ValueError, lambda: BaseTraceparent(parent_id = b'\0\0\0\0\0\0\0\0\0')) def test_trace_flags_limit(self): traceparent = BaseTraceparent(trace_flags = 0) self.assertEqual(traceparent.trace_flags, 0) traceparent = BaseTraceparent(trace_flags = 0xff) self.assertEqual(traceparent.trace_flags, 0xff) self.assertRaises(ValueError, lambda: BaseTraceparent(trace_flags = -1)) self.assertRaises(ValueError, lambda: BaseTraceparent(trace_flags = 0xff + 1)) def test_from_string(self): traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-00') traceparent = BaseTraceparent.from_string('01-12345678901234567890123456789012-1234567890123456-00') traceparent = BaseTraceparent.from_string('02-12345678901234567890123456789012-1234567890123456-00') traceparent = BaseTraceparent.from_string('cc-12345678901234567890123456789012-1234567890123456-00') self.assertRaises(ValueError, lambda: BaseTraceparent.from_string('ff-12345678901234567890123456789012-1234567890123456-00')) traceparent = BaseTraceparent.from_string('00-00000000000000000000000000000000-1234567890123456-00') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-00') traceparent = BaseTraceparent.from_string('00-ffffffffffffffffffffffffffffffff-1234567890123456-00') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-0000000000000000-00') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-00') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-ffffffffffffffff-00') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-00') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-01') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-02') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-03') traceparent = BaseTraceparent.from_string('00-12345678901234567890123456789012-1234567890123456-ff') self.assertRaises(ValueError, lambda: BaseTraceparent.from_string('0-12345678901234567890123456789012-1234567890123456-00')) self.assertRaises(ValueError, lambda: BaseTraceparent.from_string('000-12345678901234567890123456789012-1234567890123456-00')) self.assertRaises(ValueError, lambda: BaseTraceparent.from_string('00-1234567890123456789012345678901-1234567890123456-00')) self.assertRaises(ValueError, lambda: BaseTraceparent.from_string('00-123456789012345678901234567890123-1234567890123456-00')) self.assertRaises(ValueError, lambda: BaseTraceparent.from_string('00-12345678901234567890123456789012-123456789012345-00')) self.assertRaises(ValueError, lambda: BaseTraceparent.from_string('00-12345678901234567890123456789012-12345678901234567-00')) def test_repr(self): string = '12-12345678901234567890123456789012-1234567890123456-ff' traceparent = BaseTraceparent.from_string('12-12345678901234567890123456789012-1234567890123456-ff') self.assertEqual(repr(traceparent), 'BaseTraceparent({})'.format(repr(string))) def test_str(self): string = '12-12345678901234567890123456789012-1234567890123456-ff' traceparent = BaseTraceparent.from_string('12-12345678901234567890123456789012-1234567890123456-ff') self.assertEqual(str(traceparent), string) def test_set_trace_id(self): traceparent = BaseTraceparent() traceparent.set_trace_id(None) traceparent.set_trace_id(b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff') self.assertRaises(ValueError, lambda: traceparent.set_trace_id('fffffffffffffffffffffffffffffff')) traceparent.set_trace_id('ffffffffffffffffffffffffffffffff') self.assertRaises(ValueError, lambda: traceparent.set_trace_id('fffffffffffffffffffffffffffffffff')) def test_set_parent_id(self): traceparent = BaseTraceparent() traceparent.set_parent_id(None) traceparent.set_parent_id(b'\xff\xff\xff\xff\xff\xff\xff\xff') self.assertRaises(ValueError, lambda: traceparent.set_parent_id('fffffffffffffff')) traceparent.set_parent_id('ffffffffffffffff') self.assertRaises(ValueError, lambda: traceparent.set_parent_id('fffffffffffffffff')) class TraceparentTest(unittest.TestCase): def test_ctor_default(self): traceparent = Traceparent() self.assertEqual(traceparent.version, 0) self.assertNotEqual(traceparent.trace_id, b'\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0') self.assertNotEqual(traceparent.parent_id, b'\0\0\0\0\0\0\0\0') self.assertEqual(traceparent.trace_flags, 0) def test_ctor(self): self.assertRaises(ValueError, lambda: Traceparent(version = 1)) self.assertRaises(ValueError, lambda: Traceparent(version = 0xff)) self.assertRaises(ValueError, lambda: Traceparent(trace_id = b'\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0')) self.assertRaises(ValueError, lambda: Traceparent(parent_id = b'\0\0\0\0\0\0\0\0')) def test_from_string(self): traceparent = Traceparent.from_string('00-12345678901234567890123456789012-1234567890123456-00') traceparent = Traceparent.from_string('00-12345678901234567890123456789012-1234567890123456-01') traceparent = Traceparent.from_string('00-12345678901234567890123456789012-1234567890123456-02') traceparent = Traceparent.from_string('00-12345678901234567890123456789012-1234567890123456-03') traceparent = Traceparent.from_string('00-12345678901234567890123456789012-1234567890123456-ff') self.assertRaises(ValueError, lambda: Traceparent.from_string('01-12345678901234567890123456789012-1234567890123456-00')) self.assertRaises(ValueError, lambda: Traceparent.from_string('02-12345678901234567890123456789012-1234567890123456-00')) self.assertRaises(ValueError, lambda: Traceparent.from_string('cc-12345678901234567890123456789012-1234567890123456-00')) self.assertRaises(ValueError, lambda: Traceparent.from_string('ff-12345678901234567890123456789012-1234567890123456-00')) self.assertRaises(ValueError, lambda: Traceparent.from_string('00-00000000000000000000000000000000-1234567890123456-00')) self.assertRaises(ValueError, lambda: Traceparent.from_string('00-12345678901234567890123456789012-0000000000000000-00')) def test_repr(self): string = '00-12345678901234567890123456789012-1234567890123456-ff' traceparent = Traceparent.from_string('00-12345678901234567890123456789012-1234567890123456-ff') self.assertEqual(repr(traceparent), 'Traceparent({})'.format(repr(string))) def test_str(self): string = '00-12345678901234567890123456789012-1234567890123456-ff' traceparent = Traceparent.from_string('00-12345678901234567890123456789012-1234567890123456-ff') self.assertEqual(str(traceparent), string) def test_set_version(self): traceparent = Traceparent() traceparent.set_version(0) self.assertRaises(ValueError, lambda: traceparent.set_version(1)) def test_set_trace_id(self): traceparent = Traceparent() self.assertRaises(ValueError, lambda: traceparent.set_trace_id(None)) def test_set_parent_id(self): traceparent = Traceparent() self.assertRaises(ValueError, lambda: traceparent.set_parent_id(None)) if __name__ == '__main__': unittest.main()

56.246835

128

0.808259

1,023

8,887

6.888563

0.068426

0.043707

0.0596

0.07152

0.867887

0.834823

0.752803

0.608628

0.542926

0.535263

0

0.272716

0.06999

8,887

157

129

56.605096

0.579915

0

0.365079

0

0.063492

0.324294

0.300551

0

0.00225

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0.404762

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adbus/__init__.py

jameshilliard/adbus

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2021-08-15T01:45:42.000Z

adbus/__init__.py

jameshilliard/adbus

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[ "MIT" ]

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2021-04-21T21:22:24.000Z

adbus/__init__.py

ccxtechnologies/python-adbus

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[ "MIT" ]

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2018-08-22T06:08:20.000Z

2020-07-06T11:05:04.000Z

# == Copyright: 2017, CCX Technologies from .__version__ import __version__ from adbus.service import Service import adbus.server import adbus.client from . import exceptions

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bin/cubes/pentacubes-plus-5x5x10-steps.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

null

bin/cubes/pentacubes-plus-5x5x10-steps.py

tiwo/puzzler

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bin/cubes/pentacubes-plus-5x5x10-steps.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

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#!/usr/bin/env python # $Id$ """many solutions""" import puzzler from puzzler.puzzles.pentacubes import PentacubesPlus5x5x10Steps puzzler.run(PentacubesPlus5x5x10Steps)

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result/listed.py

Uqhs-1/uqhs

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result/listed.py

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result/listed.py

Uqhs-1/uqhs

1c7199d8c23a9d9eb3f75b1e36633a145fd2cd40

[ "MIT" ]

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# -*- coding: utf-8 -*- """ Created on Tue Jan 19 05:46:42 2021 @author: AdeolaOlalekan """ listed = [["2020/1866", "1-3-23", 20, 5, 5, 30, 41, 71, "A", "17th", "Abdkerim"], ["2020/1869", "1-3-23", 20, 5, 5, 30, 35, 65, "C", "26th", "Abdkerim"], ["2020/1868", "1-3-23", 10, 5, 5, 20, 55, 75, "A", "12th", "Abdkerim"], ["2020/1863", "1-3-23", 20, 5, 5, 30, 51, 81, "A", "7th", "Abdkerim"], ["2020/1870", "1-3-23", 18, 5, 5, 28, 29, 57, "C", "32nd", "Abdkerim"], ["2020/1872", "1-3-23", 20, 5, 5, 30, 68, 98, "A", "1st", "Abdkerim"], ["2020/1874", "1-3-23", 20, 5, 5, 30, 59, 89, "A", "3rd", "Abdkerim"], ["2020/1877", "1-3-23", 12, 5, 5, 22, 42, 64, "C", "28th", "Abdkerim"], ["2020/1881", "1-3-23", 20, 5, 5, 30, 38, 68, "C", "20th", "Abdkerim"], ["2020/1882", "1-3-23", 18, 5, 5, 28, 37, 65, "C", "26th", "Abdkerim"], ["2020/1858", "1-3-23", 20, 5, 5, 30, 49, 79, "A", "10th", "Abdkerim"], ["2020/1884", "1-3-23", 20, 5, 5, 30, 47, 77, "A", "11th", "Abdkerim"], ["2020/1885", "1-3-23", 20, 5, 5, 30, 54, 84, "A", "5th", "Abdkerim"], ["2020/1886", "1-3-23", 10, 5, 5, 20, 48, 68, "C", "20th", "Abdkerim"], ["2020/1859", "1-3-23", 16, 5, 5, 26, 65, 91, "A", "2nd", "Abdkerim"], ["2020/1860", "1-3-23", 16, 5, 5, 26, 45, 71, "A", "17th", "Abdkerim"], ["2020/1862", "1-3-23", 12, 5, 5, 22, 44, 66, "C", "23rd", "Abdkerim"], ["2020/1864", "1-3-23", 13, 5, 5, 23, 51, 74, "A", "14th", "Abdkerim"], ["2020/1871", "1-3-23", 7, 5, 5, 17, 50, 67, "C", "22nd", "Abdkerim"], ["2020/1873", "1-3-23", 18, 5, 5, 28, 31, 59, "C", "31st", "Abdkerim"], ["2020/1883", "1-3-23", 20, 5, 5, 30, 50, 80, "A", "8th", "Abdkerim"], ["2020/1861", "1-3-23", 12, 5, 5, 22, 60, 82, "A", "6th", "Abdkerim"], ["2020/1875", "1-3-23", 10, 5, 5, 20, 44, 64, "C", "28th", "Abdkerim"], ["2020/1876", "1-3-23", 16, 5, 5, 26, 48, 74, "A", "14th", "Abdkerim"], ["2020/1880", "1-3-23", 16, 5, 5, 26, 54, 80, "A", "8th", "Abdkerim"], ["2020/1887", "1-3-23", 18, 5, 5, 28, 47, 75, "A", "12th", "Abdkerim"], ["2020/1888", "1-3-23", 16, 5, 5, 26, 60, 86, "A", "4th", "Abdkerim"], ["2020/1889", "1-3-23", 16, 5, 5, 26, 46, 72, "A", "16th", "Abdkerim"], ["2020/1878", "1-3-23", 16, 5, 5, 26, 44, 70, "A", "19th", "Abdkerim"], ["2020/1879", "1-3-23", 14, 5, 5, 24, 37, 61, "C", "30th", "Abdkerim"], ["2020/1865", "1-3-23", 19, 5, 5, 29, 37, 66, "C", "23rd", "Abdkerim"], ["2020/1867", "1-3-23", 16, 5, 5, 26, 40, 66, "C", "23rd", "Abdkerim"], ["2020/1870", "1-4-29", 9, 5, 5, 19, 25, 44, "P", "11th", "Adebayo"], ["2020/1873", "1-4-29", 7, 5, 5, 17, 21, 38, "F", "18th", "Adebayo"], ["2020/1865", "1-4-29", 3, 5, 5, 13, 11, 24, "F", "32nd", "Adebayo"], ["2020/1869", "1-4-29", 1, 5, 5, 11, 18, 29, "F", "30th", "Adebayo"], ["2020/1860", "1-4-29", 9, 5, 5, 19, 17, 36, "F", "20th", "Adebayo"], ["2020/1867", "1-4-29", 10, 5, 5, 20, 32, 52, "C", "5th", "Adebayo"], ["2020/1859", "1-4-29", 9, 5, 5, 19, 28, 47, "P", "9th", "Adebayo"], ["2020/1875", "1-4-29", 3, 5, 5, 13, 21, 34, "F", "24th", "Adebayo"], ["2020/1876", "1-4-29", 10, 5, 5, 20, 29, 49, "P", "8th", "Adebayo"], ["2020/1889", "1-4-29", 8, 5, 5, 18, 18, 36, "F", "20th", "Adebayo"], ["2020/1879", "1-4-29", 4, 5, 5, 14, 30, 44, "P", "11th", "Adebayo"], ["2020/1887", "1-4-29", 5, 5, 5, 15, 18, 33, "F", "26th", "Adebayo"], ["2020/1868", "1-4-29", 4, 5, 5, 14, 20, 34, "F", "24th", "Adebayo"], ["2020/1872", "1-4-29", 13, 5, 5, 23, 39, 62, "C", "1st", "Adebayo"], ["2020/1871", "1-4-29", 4, 5, 5, 14, 17, 31, "F", "28th", "Adebayo"], ["2020/1878", "1-4-29", 11, 5, 5, 21, 36, 57, "C", "3rd", "Adebayo"], ["2020/1880", "1-4-29", 10, 5, 5, 20, 32, 52, "C", "5th", "Adebayo"], ["2020/1888", "1-4-29", 10, 5, 5, 20, 33, 53, "C", "4th", "Adebayo"], ["2020/1862", "1-4-29", 7, 5, 5, 17, 18, 35, "F", "22nd", "Adebayo"], ["2020/1864", "1-4-29", 8, 5, 5, 18, 25, 43, "P", "16th", "Adebayo"], ["2020/1858", "1-4-29", 10, 5, 5, 20, 25, 45, "P", "10th", "Adebayo"], ["2020/1863", "1-4-29", 1, 5, 5, 11, 20, 31, "F", "28th", "Adebayo"], ["2020/1886", "1-4-29", 9, 5, 5, 19, 16, 35, "F", "22nd", "Adebayo"], ["2020/1885", "1-4-29", 10, 5, 5, 20, 24, 44, "P", "11th", "Adebayo"], ["2020/1874", "1-4-29", 9, 5, 5, 19, 25, 44, "P", "11th", "Adebayo"], ["2020/1877", "1-4-29", 7, 5, 5, 17, 15, 32, "F", "27th", "Adebayo"], ["2020/1883", "1-4-29", 4, 5, 5, 14, 13, 27, "F", "31st", "Adebayo"], ["2020/1884", "1-4-29", 10, 5, 5, 20, 30, 50, "C", "7th", "Adebayo"], ["2020/1866", "1-4-29", 10, 5, 5, 20, 17, 37, "F", "19th", "Adebayo"], ["2020/1882", "1-4-29", 12, 5, 5, 22, 37, 59, "C", "2nd", "Adebayo"], ["2020/1861", "1-4-29", 8, 5, 5, 18, 26, 44, "P", "11th", "Adebayo"], ["2020/1881", "1-4-29", 9, 5, 5, 19, 21, 40, "P", "17th", "Adebayo"], ["2020/1866", "1-6-25", 16, 5, 5, 26, 44, 70, "A", "8th", "Adisa"], ["2020/1881", "1-6-25", 17, 5, 5, 27, 45, 72, "A", "5th", "Adisa"], ["2020/1886", "1-6-25", 3, 5, 4, 12, 35, 47, "P", "30th", "Adisa"], ["2020/1885", "1-6-25", 10, 5, 4, 19, 36, 55, "C", "25th", "Adisa"], ["2020/1884", "1-6-25", 13, 5, 5, 23, 48, 71, "A", "7th", "Adisa"], ["2020/1868", "1-6-25", 13, 5, 4, 22, 32, 54, "C", "26th", "Adisa"], ["2020/1875", "1-6-25", 8, 5, 5, 18, 42, 60, "C", "17th", "Adisa"], ["2020/1867", "1-6-25", 17, 5, 5, 27, 46, 73, "A", "3rd", "Adisa"], ["2020/1888", "1-6-25", 11, 5, 5, 21, 44, 65, "C", "13th", "Adisa"], ["2020/1873", "1-6-25", 13, 5, 5, 23, 50, 73, "A", "3rd", "Adisa"], ["2020/1883", "1-6-25", 16, 5, 4, 25, 34, 59, "C", "18th", "Adisa"], ["2020/1889", "1-6-25", 13, 5, 5, 23, 40, 63, "C", "15th", "Adisa"], ["2020/1858", "1-6-25", 4, 5, 5, 14, 36, 50, "C", "28th", "Adisa"], ["2020/1861", "1-6-25", 13, 5, 5, 23, 43, 66, "C", "11th", "Adisa"], ["2020/1887", "1-6-25", 6, 5, 5, 16, 41, 57, "C", "24th", "Adisa"], ["2020/1870", "1-6-25", 8, 5, 4, 17, 41, 58, "C", "22nd", "Adisa"], ["2020/1863", "1-6-25", 3, 4, 4, 11, 27, 38, "F", "32nd", "Adisa"], ["2020/1877", "1-6-25", 7, 5, 5, 17, 42, 59, "C", "18th", "Adisa"], ["2020/1865", "1-6-25", 3, 5, 4, 12, 29, 41, "P", "31st", "Adisa"], ["2020/1874", "1-6-25", 18, 5, 5, 28, 35, 63, "C", "15th", "Adisa"], ["2020/1872", "1-6-25", 12, 5, 5, 22, 62, 84, "A", "1st", "Adisa"], ["2020/1880", "1-6-25", 15, 5, 5, 25, 44, 69, "C", "10th", "Adisa"], ["2020/1879", "1-6-25", 9, 5, 5, 19, 46, 65, "C", "13th", "Adisa"], ["2020/1878", "1-6-25", 7, 5, 5, 17, 42, 59, "C", "18th", "Adisa"], ["2020/1876", "1-6-25", 16, 5, 5, 26, 55, 81, "A", "2nd", "Adisa"], ["2020/1860", "1-6-25", 14, 5, 5, 24, 35, 59, "C", "18th", "Adisa"], ["2020/1871", "1-6-25", 11, 5, 4, 20, 38, 58, "C", "22nd", "Adisa"], ["2020/1869", "1-6-25", 3, 5, 4, 12, 38, 50, "C", "28th", "Adisa"], ["2020/1864", "1-6-25", 11, 5, 5, 21, 51, 72, "A", "5th", "Adisa"], ["2020/1862", "1-6-25", 11, 5, 5, 21, 33, 54, "C", "26th", "Adisa"], ["2020/1859", "1-6-25", 12, 5, 5, 22, 48, 70, "A", "8th", "Adisa"], ["2020/1882", "1-6-25", 7, 5, 5, 17, 49, 66, "C", "11th", "Adisa"], ["2020/1882", "1-13-34", 14, 5, 5, 24, 34, 58, "C", "10th", "Adetona"], ["2020/1866", "1-13-34", 6, 5, 5, 16, 20, 36, "F", "28th", "Adetona"], ["2020/1867", "1-13-34", 8, 5, 5, 18, 38, 56, "C", "15th", "Adetona"], ["2020/1868", "1-13-34", 6, 5, 5, 16, 22, 38, "F", "24th", "Adetona"], ["2020/1870", "1-13-34", 8, 5, 5, 18, 23, 41, "P", "23rd", "Adetona"], ["2020/1872", "1-13-34", 11, 5, 5, 21, 44, 65, "C", "3rd", "Adetona"], ["2020/1874", "1-13-34", 11, 5, 5, 21, 22, 43, "P", "21st", "Adetona"], ["2020/1859", "1-13-34", 18, 5, 5, 28, 31, 59, "C", "9th", "Adetona"], ["2020/1861", "1-13-34", 12, 5, 5, 22, 35, 57, "C", "12th", "Adetona"], ["2020/1858", "1-13-34", 9, 5, 5, 19, 19, 38, "F", "24th", "Adetona"], ["2020/1860", "1-13-34", 11, 5, 5, 21, 31, 52, "C", "16th", "Adetona"], ["2020/1862", "1-13-34", 7, 5, 5, 17, 32, 49, "P", "18th", "Adetona"], ["2020/1864", "1-13-34", 15, 5, 5, 25, 37, 62, "C", "5th", "Adetona"], ["2020/1881", "1-13-34", 10, 5, 5, 20, 28, 48, "P", "19th", "Adetona"], ["2020/1883", "1-13-34", 12, 5, 5, 22, 12, 34, "F", "30th", "Adetona"], ["2020/1884", "1-13-34", 10, 5, 5, 20, 38, 58, "C", "10th", "Adetona"], ["2020/1885", "1-13-34", 10, 5, 5, 20, 17, 37, "F", "26th", "Adetona"], ["2020/1869", "1-13-34", 9, 5, 5, 19, 33, 52, "C", "16th", "Adetona"], ["2020/1871", "1-13-34", 8, 5, 5, 18, 39, 57, "C", "12th", "Adetona"], ["2020/1873", "1-13-34", 10, 5, 5, 20, 41, 61, "C", "6th", "Adetona"], ["2020/1875", "1-13-34", 10, 5, 5, 20, 16, 36, "F", "28th", "Adetona"], ["2020/1876", "1-13-34", 16, 5, 5, 26, 38, 64, "C", "4th", "Adetona"], ["2020/1863", "1-13-34", 10, 5, 5, 20, 17, 37, "F", "26th", "Adetona"], ["2020/1878", "1-13-34", 19, 5, 5, 29, 44, 73, "A", "2nd", "Adetona"], ["2020/1879", "1-13-34", 4, 5, 5, 14, 32, 46, "P", "20th", "Adetona"], ["2020/1880", "1-13-34", 16, 5, 5, 26, 48, 74, "A", "1st", "Adetona"], ["2020/1887", "1-13-34", 11, 5, 5, 21, 22, 43, "P", "21st", "Adetona"], ["2020/1888", "1-13-34", 13, 5, 5, 23, 38, 61, "C", "6th", "Adetona"], ["2020/1889", "1-13-34", 13, 5, 5, 23, 37, 60, "C", "8th", "Adetona"], ["2020/1877", "1-13-34", 10, 5, 5, 20, 37, 57, "C", "12th", "Adetona"], ["2020/1865", 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71, "A", "12th", "Haddy"], ["2020/1883", "1-20-24", 12, 5, 5, 22, 35, 57, "C", "27th", "Haddy"], ["2020/1884", "1-20-24", 10, 5, 5, 20, 63, 83, "A", "4th", "Haddy"], ["2020/1885", "1-20-24", 7, 5, 5, 17, 47, 64, "C", "20th", "Haddy"], ["2020/1886", "1-20-24", 8, 5, 5, 18, 41, 59, "C", "25th", "Haddy"], ["2020/1859", "1-20-24", 10, 5, 5, 20, 55, 75, "A", "8th", "Haddy"], ["2020/1860", "1-20-24", 10, 5, 5, 20, 50, 70, "A", "14th", "Haddy"], ["2020/1862", "1-20-24", 10, 5, 5, 20, 36, 56, "C", "28th", "Haddy"], ["2020/1864", "1-20-24", 12, 5, 5, 22, 47, 69, "C", "15th", "Haddy"], ["2020/1869", "1-20-24", 10, 5, 5, 20, 41, 61, "C", "24th", "Haddy"], ["2020/1871", "1-20-24", 8, 5, 5, 18, 36, 54, "C", "29th", "Haddy"], ["2020/1873", "1-20-24", 14, 5, 5, 24, 45, 69, "C", "15th", "Haddy"], ["2020/1875", "1-20-24", 5, 5, 5, 15, 38, 53, "C", "31st", "Haddy"], ["2020/1876", "1-20-24", 12, 5, 5, 22, 51, 73, "A", "10th", "Haddy"], ["2020/1878", "1-20-24", 19, 5, 5, 29, 68, 97, "A", "1st", "Haddy"], ["2020/1879", "1-20-24", 15, 5, 5, 25, 44, 69, "C", "15th", "Haddy"], ["2020/1880", "1-20-24", 10, 5, 5, 20, 54, 74, "A", "9th", "Haddy"], ["2020/1887", "1-20-24", 5, 5, 5, 15, 47, 62, "C", "23rd", "Haddy"], ["2020/1888", "1-20-24", 9, 5, 5, 19, 53, 72, "A", "11th", "Haddy"], ["2020/1858", "1-22-42", 20, 5, 4, 29, 64, 93, "A", "5th", "Sulyman"], ["2020/1888", "1-22-42", 20, 5, 4, 29, 57, 86, "A", "13th", "Sulyman"], ["2020/1887", "1-22-42", 20, 4, 5, 29, 65, 94, "A", "2nd", "Sulyman"], ["2020/1880", "1-22-42", 20, 4, 5, 29, 65, 94, "A", "2nd", "Sulyman"], ["2020/1879", "1-22-42", 17, 5, 5, 27, 51, 78, "A", "21st", "Sulyman"], ["2020/1878", "1-22-42", 20, 4, 5, 29, 60, 89, "A", "8th", "Sulyman"], ["2020/1876", "1-22-42", 17, 5, 5, 27, 57, 84, "A", "15th", "Sulyman"], ["2020/1875", "1-22-42", 10, 5, 5, 20, 34, 54, "C", "30th", "Sulyman"], ["2020/1873", "1-22-42", 13, 5, 5, 23, 59, 82, "A", "17th", "Sulyman"], ["2020/1871", "1-22-42", 14, 5, 5, 24, 37, 61, "C", "27th", "Sulyman"], ["2020/1869", "1-22-42", 19, 5, 4, 28, 54, 82, "A", "17th", "Sulyman"], ["2020/1864", "1-22-42", 8, 5, 5, 18, 33, 51, "C", "31st", "Sulyman"], ["2020/1862", "1-22-42", 18, 5, 4, 27, 53, 80, "A", "20th", "Sulyman"], ["2020/1860", "1-22-42", 11, 5, 5, 21, 53, 74, "A", "22nd", "Sulyman"], ["2020/1859", "1-22-42", 20, 4, 5, 29, 66, 95, "A", "1st", "Sulyman"], ["2020/1886", "1-22-42", 11, 5, 5, 21, 51, 72, "A", "24th", "Sulyman"], ["2020/1885", "1-22-42", 20, 5, 4, 29, 56, 85, "A", "14th", "Sulyman"], ["2020/1884", "1-22-42", 20, 4, 5, 29, 65, 94, "A", "2nd", "Sulyman"], ["2020/1883", "1-22-42", 20, 5, 4, 29, 37, 66, "C", "25th", "Sulyman"], ["2020/1882", "1-22-42", 20, 4, 5, 29, 58, 87, "A", "11th", "Sulyman"], ["2020/1881", "1-22-42", 17, 5, 5, 27, 39, 66, "C", "25th", "Sulyman"], ["2020/1889", "1-22-42", 17, 5, 5, 27, 61, 88, "A", "10th", "Sulyman"], ["2020/1877", "1-22-42", 8, 5, 5, 18, 43, 61, "C", "27th", "Sulyman"], ["2020/1874", "1-22-42", 18, 5, 5, 28, 64, 92, "A", "6th", "Sulyman"], ["2020/1872", "1-22-42", 20, 4, 5, 29, 60, 89, "A", "8th", "Sulyman"], ["2020/1870", "1-22-42", 20, 5, 4, 29, 31, 60, "C", "29th", "Sulyman"], ["2020/1868", "1-22-42", 14, 5, 5, 24, 49, 73, "A", "23rd", "Sulyman"], ["2020/1867", "1-22-42", 18, 5, 5, 28, 55, 83, "A", "16th", "Sulyman"], ["2020/1866", "1-22-42", 20, 4, 5, 29, 62, 91, "A", "7th", "Sulyman"], ["2020/1865", "1-22-42", 3, 5, 5, 13, 22, 35, "F", "32nd", "Sulyman"], ["2020/1863", "1-22-42", 20, 5, 4, 29, 53, 82, "A", "17th", "Sulyman"], ["2020/1861", "1-22-42", 17, 5, 5, 27, 60, 87, "A", "11th", "Sulyman"], ["2020/1871", "1-25-26", 15, 5, 5, 25, 28, 53, "C", "15th", "MikailF"], ["2020/1882", "1-25-26", 17, 5, 5, 27, 28, 55, "C", "11th", "MikailF"], ["2020/1883", "1-25-26", 15, 5, 5, 25, 24, 49, "P", "18th", "MikailF"], ["2020/1884", "1-25-26", 16, 5, 5, 26, 38, 64, "C", "4th", "MikailF"], ["2020/1885", "1-25-26", 13, 5, 5, 23, 34, 57, "C", "7th", "MikailF"], ["2020/1886", "1-25-26", 11, 5, 5, 21, 21, 42, "P", "27th", "MikailF"], ["2020/1859", "1-25-26", 17, 5, 5, 27, 37, 64, "C", "4th", "MikailF"], ["2020/1860", "1-25-26", 16, 5, 5, 26, 31, 57, "C", "7th", "MikailF"], ["2020/1862", "1-25-26", 8, 5, 5, 18, 22, 40, "P", "30th", "MikailF"], ["2020/1864", "1-25-26", 14, 5, 5, 24, 23, 47, "P", "22nd", "MikailF"], ["2020/1869", "1-25-26", 7, 5, 5, 17, 19, 36, "F", "31st", "MikailF"], ["2020/1873", "1-25-26", 11, 5, 5, 21, 27, 48, "P", "20th", "MikailF"], ["2020/1875", "1-25-26", 10, 5, 5, 20, 21, 41, "P", "28th", "MikailF"], ["2020/1876", "1-25-26", 17, 5, 5, 27, 38, 65, "C", "3rd", "MikailF"], ["2020/1878", "1-25-26", 17, 5, 5, 27, 27, 54, "C", "13th", "MikailF"], ["2020/1879", "1-25-26", 14, 5, 5, 24, 33, 57, "C", "7th", "MikailF"], ["2020/1880", "1-25-26", 17, 5, 5, 27, 39, 66, "C", "2nd", "MikailF"], ["2020/1887", "1-25-26", 10, 5, 5, 20, 23, 43, "P", "25th", "MikailF"], ["2020/1888", "1-25-26", 17, 5, 5, 27, 31, 58, "C", "6th", "MikailF"], ["2020/1889", "1-25-26", 16, 5, 5, 26, 18, 44, "P", "24th", "MikailF"], ["2020/1858", "1-25-26", 13, 5, 5, 23, 20, 43, "P", "25th", "MikailF"], ["2020/1861", "1-25-26", 18, 5, 5, 28, 27, 55, "C", "11th", "MikailF"], ["2020/1863", "1-25-26", 8, 5, 5, 18, 17, 35, "F", "32nd", "MikailF"], ["2020/1865", "1-25-26", 10, 5, 5, 20, 26, 46, "P", "23rd", "MikailF"], ["2020/1866", "1-25-26", 9, 5, 5, 19, 22, 41, "P", "28th", "MikailF"], ["2020/1867", "1-25-26", 15, 5, 5, 25, 29, 54, "C", "13th", "MikailF"], ["2020/1868", "1-25-26", 16, 5, 5, 26, 22, 48, "P", "20th", "MikailF"], ["2020/1870", "1-25-26", 17, 5, 5, 27, 26, 53, "C", "15th", "MikailF"], ["2020/1872", "1-25-26", 19, 5, 5, 29, 51, 80, "A", "1st", "MikailF"], ["2020/1874", "1-25-26", 12, 5, 5, 22, 29, 51, "C", "17th", "MikailF"], ["2020/1877", "1-25-26", 11, 5, 5, 21, 28, 49, "P", "18th", "MikailF"], ["2020/1881", "1-25-26", 16, 5, 5, 26, 30, 56, "C", "10th", "MikailF"], ["2020/1888", "1-26-40", 16, 5, 5, 26, 53, 79, "A", "5th", "Oladele"], ["2020/1858", "1-26-40", 12, 5, 5, 22, 27, 49, "P", "26th", "Oladele"], ["2020/1861", "1-26-40", 17, 5, 5, 27, 57, 84, "A", "3rd", "Oladele"], ["2020/1863", "1-26-40", 3, 4, 4, 11, 30, 41, "P", "29th", "Oladele"], ["2020/1865", "1-26-40", 3, 4, 4, 11, 29, 40, "P", "30th", "Oladele"], ["2020/1866", "1-26-40", 10, 5, 5, 20, 48, 68, "C", "14th", "Oladele"], ["2020/1867", "1-26-40", 15, 5, 5, 25, 45, 70, "A", "10th", "Oladele"], ["2020/1868", "1-26-40", 17, 5, 5, 27, 47, 74, "A", "8th", "Oladele"], ["2020/1870", "1-26-40", 8, 4, 4, 16, 42, 58, "C", "19th", "Oladele"], ["2020/1872", "1-26-40", 19, 5, 5, 29, 64, 93, "A", "1st", "Oladele"], ["2020/1874", "1-26-40", 13, 5, 5, 23, 55, 78, "A", "6th", "Oladele"], ["2020/1877", "1-26-40", 10, 5, 5, 20, 36, 56, "C", "22nd", "Oladele"], ["2020/1881", "1-26-40", 6, 4, 4, 14, 21, 35, "F", "31st", "Oladele"], ["2020/1882", "1-26-40", 10, 5, 5, 20, 50, 70, "A", "10th", "Oladele"], ["2020/1883", "1-26-40", 5, 4, 4, 13, 16, 29, "F", "32nd", "Oladele"], ["2020/1884", "1-26-40", 13, 5, 5, 23, 39, 62, "C", "15th", "Oladele"], ["2020/1885", "1-26-40", 17, 5, 5, 27, 44, 71, "A", "9th", "Oladele"], ["2020/1886", "1-26-40", 11, 5, 5, 21, 39, 60, "C", "17th", "Oladele"], ["2020/1859", "1-26-40", 16, 10, 10, 36, 40, 76, "A", "7th", "Oladele"], ["2020/1860", "1-26-40", 14, 5, 5, 24, 46, 70, "A", "10th", "Oladele"], ["2020/1889", "1-26-40", 5, 4, 4, 13, 29, 42, "P", "28th", "Oladele"], ["2020/1862", "1-26-40", 8, 4, 4, 16, 35, 51, "C", "24th", "Oladele"], ["2020/1864", "1-26-40", 6, 4, 4, 14, 47, 61, "C", "16th", "Oladele"], ["2020/1869", "1-26-40", 10, 5, 5, 20, 37, 57, "C", "21st", "Oladele"], ["2020/1871", "1-26-40", 7, 4, 4, 15, 29, 44, "P", "27th", "Oladele"], ["2020/1873", "1-26-40", 11, 5, 5, 21, 34, 55, "C", "23rd", "Oladele"], ["2020/1875", "1-26-40", 9, 5, 5, 19, 31, 50, "C", "25th", "Oladele"], ["2020/1876", "1-26-40", 12, 5, 5, 22, 36, 58, "C", "19th", "Oladele"], ["2020/1878", "1-26-40", 17, 5, 5, 27, 58, 85, "A", "2nd", "Oladele"], ["2020/1879", "1-26-40", 10, 5, 5, 20, 39, 59, "C", "18th", "Oladele"], ["2020/1880", "1-26-40", 17, 5, 5, 27, 56, 83, "A", "4th", "Oladele"], ["2020/1887", "1-26-40", 13, 5, 5, 23, 47, 70, "A", "10th", "Oladele"]]

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e34c2613231b91a16260662a915d8d1ca7ea7375

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py

Python

tests/test_constants/test_arrays_cases/color_cases/case_rgb.py

not-a-feature/tueplots

7c99ae576fd9508c7f3f2aea75d7821c6376753a

[ "MIT" ]

110

2021-12-07T15:10:37.000Z

2022-03-28T13:20:35.000Z

tests/test_constants/test_arrays_cases/color_cases/case_rgb.py

not-a-feature/tueplots

7c99ae576fd9508c7f3f2aea75d7821c6376753a

[ "MIT" ]

35

2021-12-07T19:02:07.000Z

2022-03-31T12:31:29.000Z

tests/test_constants/test_arrays_cases/color_cases/case_rgb.py

not-a-feature/tueplots

7c99ae576fd9508c7f3f2aea75d7821c6376753a

[ "MIT" ]

5

2022-01-14T15:14:39.000Z

2022-02-15T08:12:31.000Z

"""Test cases for RGB constants.""" from tueplots.constants.color import rgb # Tuebingen primary colors def case_rgb_tue_red(): return rgb.tue_red def case_rgb_tue_dark(): return rgb.tue_dark def case_rgb_tue_gray(): return rgb.tue_gray def case_rgb_tue_gold(): return rgb.tue_gold def case_rgb_tue_lightgold(): return rgb.tue_lightgold # Tuebingen secondary colors def case_rgb_tue_darkblue(): return rgb.tue_darkblue def case_rgb_tue_blue(): return rgb.tue_blue def case_rgb_tue_lightblue(): return rgb.tue_lightblue def case_rgb_tue_lightgreen(): return rgb.tue_lightgreen def case_rgb_tue_green(): return rgb.tue_green def case_rgb_tue_darkgreen(): return rgb.tue_darkgreen def case_rgb_tue_ocre(): return rgb.tue_ocre def case_rgb_tue_violet(): return rgb.tue_violet def case_rgb_tue_mauve(): return rgb.tue_mauve def case_rgb_tue_lightorange(): return rgb.tue_lightorange def case_rgb_tue_orange(): return rgb.tue_orange def case_rgb_tue_brown(): return rgb.tue_brown # Probnum primary colors def case_rgb_pn_green(): return rgb.pn_green def case_rgb_pn_blue(): return rgb.pn_blue # Probnum secondary colors def case_rgb_pn_orange(): return rgb.pn_orange def case_rgb_pn_gray(): return rgb.pn_gray def case_rgb_pn_red(): return rgb.pn_red # Max-Planck Society colors def case_rgb_mpg_green(): return rgb.mps_green def case_rgb_mpg_lightgreen(): return rgb.mps_lightgreen def case_rgb_mpg_gray(): return rgb.mps_gray def case_rgb_mpg_lightgray(): return rgb.mps_lightgray

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e37d271d012022ad4758c0fc31fe58d2b0bd1b9d

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py

Python

cloudmesh/burn/__version__.py

cloudmesh/cloudmesh_pi_burn

0d080c0b6057e2c761e90ebd4144d04b4dff6d6b

[ "Apache-2.0" ]

16

2021-01-16T16:18:08.000Z

2022-03-07T16:09:18.000Z

cloudmesh/burn/__version__.py

cloudmesh/cloudmesh-pi-burn

ad76a310e3ebe2b6111b00de0d2a80693ceeb6f4

[ "Apache-2.0" ]

11

2021-01-16T12:39:56.000Z

2021-05-06T21:57:43.000Z

cloudmesh/burn/__version__.py

cloudmesh/cloudmesh_pi_burn

0d080c0b6057e2c761e90ebd4144d04b4dff6d6b

[ "Apache-2.0" ]

3

2020-02-06T02:38:39.000Z

2020-03-23T03:10:30.000Z

version = "4.3.29"

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5

e388cac747e5518440f7e61b16017288393914b6

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py

Python

vulture_whitelist/__init__.py

RJ722/vulture-whitelist-generators

4f208e5bb62dd3b73406eae2d15b0ffad01f7bc4

[ "MIT" ]

null

vulture_whitelist/__init__.py

RJ722/vulture-whitelist-generators

4f208e5bb62dd3b73406eae2d15b0ffad01f7bc4

[ "MIT" ]

5

2018-07-15T11:15:24.000Z

2018-08-13T06:09:14.000Z

vulture_whitelist/__init__.py

RJ722/vulture-whitelist-generators

4f208e5bb62dd3b73406eae2d15b0ffad01f7bc4

[ "MIT" ]

null

from vulture_whitelist.main import __version__ assert __version__

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8b51f36b096e5cf2ac650bc9281253e8095f86a3

393

py

Python

src/eurocodepy/__init__.py

pcachim/eurocodepy

8b68e733e5ccaa41b16135d3a3f8e9d2544fc112

[ "MIT" ]

null

src/eurocodepy/__init__.py

pcachim/eurocodepy

8b68e733e5ccaa41b16135d3a3f8e9d2544fc112

[ "MIT" ]

null

src/eurocodepy/__init__.py

pcachim/eurocodepy

8b68e733e5ccaa41b16135d3a3f8e9d2544fc112

[ "MIT" ]

null

from .db import get_timber from .db import get_concrete from .db import get_prestress from .db import get_reinforcement from .db import get_materials from .db import get_eurocodes from .db import PrestressClasses from .db import ReinforcementBars from .db import ReinforcementClasses from .db import ConcreteClasses from .db import db from . import ec2 from . import ec5 from . import utils

23.117647

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5

8b59a27b619d1fecee7ba8c2a2ca88a46b7c32a0

7,967

py

Python

train.py

sara-nl/egnn-md-trajectories

81077433fffc2a28fcba90c0a040658d22fff098

[ "MIT" ]

null

train.py

sara-nl/egnn-md-trajectories

81077433fffc2a28fcba90c0a040658d22fff098

[ "MIT" ]

null

train.py

sara-nl/egnn-md-trajectories

81077433fffc2a28fcba90c0a040658d22fff098

[ "MIT" ]

null

from tqdm import tqdm from torch.cuda.amp import autocast import torch.nn.functional as F from torch.autograd import grad import torch import argparse import numpy as np import pdb def move_to(var, device): if var is None: return None elif isinstance(var, (int, str, float)): return var elif isinstance(var, dict): return {k: move_to(v, device) for k, v in var.items()} elif isinstance(var, list): return [move_to(k, device) for k in var] elif isinstance(var, tuple): return (move_to(k, device) for k in var) return var.to(device) def train_epoch(model: torch.nn.Module, criterion: torch.nn.modules.loss._Loss, optimizer: torch.optim.Optimizer, train_loader: torch.utils.data.DataLoader, opts: argparse.Namespace, p: int = 20, scheduler: torch.optim.lr_scheduler._LRScheduler = None, scaler: torch.cuda.amp.GradScaler = None) -> dict: """ Train on the energy task for one epoch :param model: the model :param criterion: the loss function :param optimizer: the optimizer :param train_loader: the train data loader :param opts: the options object :param p: the scaling of the force loss term :param scheduler: the learning rate scheduler :param scaler: the mixed precision scaler :return: train_loss_epoch and mae """ # Put model in train mode and reset gradients model.train() model.zero_grad() train_losses, energy_losses, force_losses, energy_errors, force_errors = [], [], [], [], [] for batch_id, batch in enumerate(tqdm(train_loader)): batch_size = batch['batch_size'] batch = move_to(batch, opts.device) optimizer.zero_grad() with autocast(enabled=opts.mixed_precision): # Set to require gradients if opts.force_and_energy: batch['coords'].requires_grad_(True) prediction = model(h=batch['nodes'], x=batch['coords'], edges=batch['edges'], edge_attr=batch['edge_attr']) if opts.force_and_energy: force = -grad(outputs=prediction['energy'], inputs=batch['coords'], grad_outputs=torch.ones_like(prediction['energy']), create_graph=True, retain_graph=True)[ 0] force = force.view(batch_size, -1, force.shape[-1]) e_loss = criterion(prediction['energy'], (batch['energies'] - batch['energy_meann']) / batch['energy_mad']) f_loss = p * criterion(force, (batch['forces'] - batch['force_meann'][0]) / batch['force_mad'][0]) loss = e_loss + f_loss f_pred_error = criterion((force * batch['force_mad'][0]) + batch['force_meann'][0], batch['forces']) else: e_loss = criterion(prediction['energy'], (batch['energies'] - batch['energy_meann']) / batch['energy_mad']) f_loss = f_pred_error = torch.tensor([0], device='cpu') loss = e_loss e_pred_error = criterion((prediction['energy'] * batch['energy_mad']) + batch['energy_meann'], batch['energies']) scaler.scale(loss).backward() scaler.step(optimizer) scaler.update() if scheduler is not None and opts.scheduler_update == 'batch': scheduler.step() train_losses.append(loss.detach().cpu().item()) energy_losses.append(e_loss.detach().cpu().item()) force_losses.append(f_loss.detach().cpu().item()) energy_errors.append(e_pred_error.detach().cpu().item()) force_errors.append(f_pred_error.detach().cpu().item()) train_loss_epoch = np.round(np.mean(train_losses), 4) energy_loss_epoch = np.round(np.mean(energy_losses), 4) force_loss_epoch = np.round(np.mean(force_losses), 4) energy_errors = np.round(np.mean(energy_errors), 4) force_errors = np.round(np.mean(force_errors), 4) # Convert from kcal/mol to meV mae_energy = energy_errors * 0.0433641153087705 * 1000 mae_force = force_errors * 0.0433641153087705 * 1000 return {'train_loss_epoch': train_loss_epoch, 'energy_loss_epoch': energy_loss_epoch, 'force_loss_epoch': force_loss_epoch, 'mae_energy': mae_energy, 'mae_force': mae_force} def evaluate_epoch(model: torch.nn.Module, criterion: torch.nn.modules.loss._Loss, test_loader: torch.utils.data.DataLoader, opts: argparse.Namespace, p: int = 20) -> dict: """ Evaluate the validation dataset for the energy task :param model: the model :param criterion: the loss function :param test_loader: the test_loader :param opts: the options object :param p: the scaling of the force loss term :return: the test_loss_epoch and mae """ # Put model in eval mode and reset gradients model.eval() model.zero_grad() test_losses, energy_losses, force_losses, energy_errors, force_errors = [], [], [], [], [] for batch_id, batch in enumerate(tqdm(test_loader)): batch_size = batch['batch_size'] batch = move_to(batch, opts.device) with autocast(enabled=opts.mixed_precision): # Set to require gradients if opts.force_and_energy: batch['coords'].requires_grad_(True) prediction = model(h=batch['nodes'], x=batch['coords'], edges=batch['edges'], edge_attr=batch['edge_attr']) if opts.force_and_energy: force = -grad(outputs=prediction['energy'], inputs=batch['coords'], grad_outputs=torch.ones_like(prediction['energy']), create_graph=True, retain_graph=True)[ 0] force = force.view(batch_size, -1, force.shape[-1]) e_loss = criterion(prediction['energy'], (batch['energies'] - batch['energy_meann']) / batch['energy_mad']) f_loss = p * criterion(force, (batch['forces'] - batch['force_meann'][0]) / batch['force_mad'][0]) loss = e_loss + f_loss f_pred_error = criterion((force * batch['force_mad'][0]) + batch['force_meann'][0], batch['forces']) else: e_loss = criterion(prediction['energy'], (batch['energies'] - batch['energy_meann']) / batch['energy_mad']) f_loss = f_pred_error = torch.tensor([0], device='cpu') loss = e_loss e_pred_error = criterion((prediction['energy'] * batch['energy_mad']) + batch['energy_meann'], batch['energies']) test_losses.append(loss.detach().cpu().item()) energy_losses.append(e_loss.detach().cpu().item()) force_losses.append(f_loss.detach().cpu().item()) energy_errors.append(e_pred_error.detach().cpu().item()) force_errors.append(f_pred_error.detach().cpu().item()) test_loss_epoch = np.round(np.mean(test_losses), 4) energy_loss_epoch = np.round(np.mean(energy_losses), 4) force_loss_epoch = np.round(np.mean(force_losses), 4) energy_errors = np.round(np.mean(energy_errors), 4) force_errors = np.round(np.mean(force_errors), 4) # Convert from kcal/mol to meV mae_energy = energy_errors * 0.0433641153087705 * 1000 mae_force = force_errors * 0.0433641153087705 * 1000 return {'test_loss_epoch': test_loss_epoch, 'energy_loss_epoch': energy_loss_epoch, 'force_loss_epoch': force_loss_epoch, 'mae_energy': mae_energy, 'mae_force': mae_force}

40.85641

123

0.596837

973

7,967

4.676259

0.152107

0.03956

0.028571

0.785495

0.774066

0.764396

0.753407

0.741099

0

0.019909

0.281285

7,967

194

124

41.06701

0.774712

0.104305

0

0.641221

0

0.082955

0

1

0.022901

false

0

0.061069

0

0.145038

0

null

0

1

0

null

0

5

8ba3e323c45617c0da4f4c88ad2edf6381d8c52c

116

py

Python

mundo 1/ex003.py

jorgeduartejr/Ex-PYTHON

266b656ad94065e77ece7cdbc9e09062c5933100

[ "MIT" ]

null

mundo 1/ex003.py

jorgeduartejr/Ex-PYTHON

266b656ad94065e77ece7cdbc9e09062c5933100

[ "MIT" ]

null

mundo 1/ex003.py

jorgeduartejr/Ex-PYTHON

266b656ad94065e77ece7cdbc9e09062c5933100

[ "MIT" ]

null

n1 = int(input('Digite aqui a nota 1: ')) n2 = int(input('Digite aqui a nota 2: ')) média = (n1 + n2)/2 print(média)

29

41

0.62069

22

116

3.272727

0.545455

0.222222

0.388889

0.5

0.638889

0

0.073684

0.181034

116

4

42

29

0.684211

0

0.376068

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

5

8bacbe1cd11d88a69143016034b9fec21dc843ee

48

py

Python

microblog.py

rodcordeiro/flaskProject

23155b1e6348e3f238d199fe4c6e5a490fdb9e76

[ "MIT" ]

null

microblog.py

rodcordeiro/flaskProject

23155b1e6348e3f238d199fe4c6e5a490fdb9e76

[ "MIT" ]

1

2021-09-03T18:22:14.000Z

microblog.py

rodcordeiro/flaskProject

23155b1e6348e3f238d199fe4c6e5a490fdb9e76

[ "MIT" ]

null

from app import app app.config["DEBUG"] = True

12

26

0.708333

8

48

4.25

0.75

0

0.166667

48

3

27

16

0.85

0

0.106383

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8bafcbe19362583b438d38ddd4b0c443aa630e66

19

py

Python

tests/__init__.py

vg-mjg/tablecloth-generator

14c11be418309a5fde4c98f024a9d0aa982202ad

[ "MIT" ]

1

2021-05-13T22:13:08.000Z

tests/__init__.py

vg-mjg/tablecloth-generator

14c11be418309a5fde4c98f024a9d0aa982202ad

[ "MIT" ]

10

2021-05-13T22:08:15.000Z

2021-06-15T19:24:06.000Z

tests/__init__.py

vg-mjg/tablecloth-generator

14c11be418309a5fde4c98f024a9d0aa982202ad

[ "MIT" ]

1

2021-05-16T18:39:40.000Z

# Here go the tests

19

0.736842

4

19

3.5

1

0

0.210526

19

1

19

0.933333

0.894737

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

5

8bb9e2b2c729dc61e202f123f30b3e664bc45aa0

379

py

Python

smallest_positive.py

OuedraogoAbdoul/python-review

644cbfdd6f77d11241d0ca30d4717c3d9c8b7cc2

[ "MIT" ]

null

smallest_positive.py

OuedraogoAbdoul/python-review

644cbfdd6f77d11241d0ca30d4717c3d9c8b7cc2

[ "MIT" ]

null

smallest_positive.py

OuedraogoAbdoul/python-review

644cbfdd6f77d11241d0ca30d4717c3d9c8b7cc2

[ "MIT" ]

null

def smallest_positive(in_list): # TODO: Define a control structure that finds the smallest positive # number in in_list and returns the correct smallest number. return sorted([i for i in in_list if i > 0])[0] # Test cases print(smallest_positive([4, -6, 7, 2, -4, 10])) # Correct output: 2 print(smallest_positive([.2, 5, 3, -.1, 7, 7, 6])) # Correct output: 0.2

27.071429

71

0.680739

65

379

3.876923

0.538462

0.253968

0.063492

0

0.062092

0.192612

379

13

72

29.153846

0.761438

0.456464

0

0.076923

0

1

0.25

false

0

0.25

0.5

0

null

1

0

null

0

1

0

1

0

1

0

1

0

5

8bd196d34d2ef0b08de69d535eeb1479646a64e0

19

py

Python

kge/run_norm_templates.py

cbmnbe/kge

9b6e02088d91b9c7442a39742e838694d1aa23b4

[ "MIT" ]

null

kge/run_norm_templates.py

cbmnbe/kge

9b6e02088d91b9c7442a39742e838694d1aa23b4

[ "MIT" ]

null

kge/run_norm_templates.py

cbmnbe/kge

9b6e02088d91b9c7442a39742e838694d1aa23b4

[ "MIT" ]

null

print('Normalized')

19

0.789474

2

19

7.5

1

0

19

1

19

0.789474

0

0.5

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8bdadfcdff9475a2c3e58999c9fc7c65f5b3db3c

142

py

Python

doj/db/backends/mssql/__init__.py

beachmachine/django-jython

35aaabe31c5dce0ce0c7752e6a98228c3ed6c987

[ "BSD-3-Clause" ]

23

2015-02-13T07:58:23.000Z

2020-04-03T03:36:45.000Z

doj/db/backends/mssql/__init__.py

beachmachine/django-jython

35aaabe31c5dce0ce0c7752e6a98228c3ed6c987

[ "BSD-3-Clause" ]

15

2015-02-13T07:59:48.000Z

2021-07-16T01:16:21.000Z

doj/db/backends/mssql/__init__.py

beachmachine/django-jython

35aaabe31c5dce0ce0c7752e6a98228c3ed6c987

[ "BSD-3-Clause" ]

13

2015-02-13T08:05:14.000Z

2022-03-21T20:52:47.000Z

# -*- coding: utf-8 -*- """ The MSSQL backend is based on the work of ``django-mssql``. https://bitbucket.org/Manfre/django-mssql/ """

20.285714

60

0.619718

20

142

4.4

0.8

0.25

0

0.008547

0.176056

142

6

61

23.666667

0.74359

0.887324

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

47b8b2a7572b3ded5bfdaad32339b2bb3070ec16

135

py

Python

generators/__init__.py

hertzsprung/seamless-wave-uq

10a9b2e18d11cf3f4e711a90523f85758e5fb531

[ "MIT" ]

null

generators/__init__.py

hertzsprung/seamless-wave-uq

10a9b2e18d11cf3f4e711a90523f85758e5fb531

[ "MIT" ]

null

generators/__init__.py

hertzsprung/seamless-wave-uq

10a9b2e18d11cf3f4e711a90523f85758e5fb531

[ "MIT" ]

null

from .criticalSteadyState import CriticalSteadyState from .lakeAtRest import LakeAtRest from .tsengSteadyState import TsengSteadyState

33.75

52

0.888889

12

135

10

0.416667

0

0.088889

135

3

53

45

0.97561

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

47bed2a890fc7bfeffcbc72924a41090361398fc

118

py

Python

algorithms/1672. Richest Customer Wealth.py

vuzway9132/leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

1

2020-12-02T13:54:30.000Z

algorithms/1672. Richest Customer Wealth.py

vuzway9132/leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

algorithms/1672. Richest Customer Wealth.py

vuzway9132/leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

class Solution: def maximumWealth(self, accounts: List[List[int]]) -> int: return max(sum(c) for c in accounts)

29.5

60

0.694915

18

118

4.555556

0.777778

0

0.169492

118

3

61

39.333333

0.836735

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9a1b610568f498f8cbea7d0ed8d3a917eec86962

191

py

Python

qmk_cli/subcommands/__init__.py

NCPlayz/qmk_cli

f3e83794c99aede51ea5329c96dcbe7bf31069a3

[ "MIT" ]

null

qmk_cli/subcommands/__init__.py

NCPlayz/qmk_cli

f3e83794c99aede51ea5329c96dcbe7bf31069a3

[ "MIT" ]

null

qmk_cli/subcommands/__init__.py

NCPlayz/qmk_cli

f3e83794c99aede51ea5329c96dcbe7bf31069a3

[ "MIT" ]

null

"""QMK CLI Subcommands We list each subcommand here explicitly because all the reliable ways of searching for modules are slow and delay startup. """ from . import clone from . import setup

27.285714

122

0.780105

29

191

5.137931

0.931034

0.134228

0

0.172775

191

6

123

31.833333

0.943038

0.748691

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d084f33e330355b95a60551f9cac51ab5e3cbf63

136

py

Python

__init__.py

nano-bio/fitlib

299703dbc9ecafa528b965ccac538173801923b2

[ "BSD-3-Clause" ]

null

__init__.py

nano-bio/fitlib

299703dbc9ecafa528b965ccac538173801923b2

[ "BSD-3-Clause" ]

null

__init__.py

nano-bio/fitlib

299703dbc9ecafa528b965ccac538173801923b2

[ "BSD-3-Clause" ]

null

#!/usr/bin/python import SF6_calibration import loglib, helplib, fitlib __all__ = ['loglib', 'fitlib', 'helplib', 'SF6_calibration']

17

60

0.727941

16

136

5.8125

0.625

0.301075

0

0.016667

0.117647

136

7

61

19.428571

0.758333

0.117647

0

0.285714

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

d0895f3eba05f12ab4cf8712cc0d3b2b7d56a727

161

py

Python

blog_project/views.py

shriekdj/django-blog-project

b0d121aba38d280badbfd159832a418d8a9f545c

[ "MIT" ]

4

2022-01-13T17:52:15.000Z

2022-03-24T08:12:30.000Z

blog_project/views.py

shriekdj/django-blog-project

b0d121aba38d280badbfd159832a418d8a9f545c

[ "MIT" ]

8

2022-03-18T16:28:29.000Z

2022-03-28T13:06:20.000Z

blog_project/views.py

shriekdj/django-blog-project

b0d121aba38d280badbfd159832a418d8a9f545c

[ "MIT" ]

2

2022-03-18T16:25:14.000Z

2022-03-24T08:13:34.000Z

from django.shortcuts import HttpResponseRedirect from django.urls import reverse def index(request): return HttpResponseRedirect(reverse('app_blog:blogs'))

32.2

58

0.826087

19

161

6.947368

0.736842

0.151515

0

0.099379

161

5

58

32.2

0.910345

0

0.08642

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d0b89fb6bbbb110696043f219b9111568b49bb47

256

py

Python

skypy/gravitational_wave/__init__.py

ArthurTolley/skypy

5621877ada75c667b1af7e665b02a91026f7ef0f

[ "BSD-3-Clause" ]

1

2020-12-28T18:00:24.000Z

skypy/gravitational_wave/__init__.py

ArthurTolley/skypy

5621877ada75c667b1af7e665b02a91026f7ef0f

[ "BSD-3-Clause" ]

2

2020-12-28T20:14:40.000Z

2020-12-28T21:49:27.000Z

skypy/gravitational_wave/__init__.py

ArthurTolley/skypy

5621877ada75c667b1af7e665b02a91026f7ef0f

[ "BSD-3-Clause" ]

null

""" This module contains methods that model the properties of gravitational wave populations. Merger Rates ================ .. autosummary:: :nosignatures: :toctree: ../api/ b_band_merger_rate """ from .merger_rate import * # noqa F401,F403

15.058824

76

0.671875

29

256

5.793103

0.896552

0.119048

0

0.028436

0.175781

256

16

77

16

0.767773

0.84375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d0dfb33312717b3185b8cecc6e6736cafa6d2335

369

py

Python

python/utils.py

santi/val-lang

f00c6617edc3963ac92f93f356c4b49a6ea4f525

[ "MIT" ]

null

python/utils.py

santi/val-lang

f00c6617edc3963ac92f93f356c4b49a6ea4f525

[ "MIT" ]

null

python/utils.py

santi/val-lang

f00c6617edc3963ac92f93f356c4b49a6ea4f525

[ "MIT" ]

null

import re def is_int(string): try: int(string) return True except ValueError: return False def is_string(string): return re.match("'.*'", string) def is_regex(string): return re.match("/.*/", string) def is_variable(string): return re.match("[a-zA-Z]+[a-zA-Z0-9]*", string) def print_context(context): print(context)

18.45

52

0.620596

52

369

4.307692

0.423077

0.089286

0.1875

0.254464

0.267857

0

0.006969

0.222222

369

20

53

18.45

0.773519

0

0.078378

0.056757

0

1

0.333333

false

0

0.066667

0.2

0.733333

0.133333

0

null

0

1

0

null

0

1

0

1

0

5

d0e5665fd2e5c15ddfacd792d23eef2c1eedd252

67

py

Python

tests/parser/query.08.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/query.08.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/query.08.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ c :- b. c? """ output = """ c :- b. c? """

5.153846

12

0.253731

8

67

2.125

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1

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null

0

5

1900d7243e15031378f83c6e66d2fbcb6a173059

43

py

Python

tests/__init__.py

Aria57/data_science_course

94db4c2ab81c92be2b6c16f6fc6daf717c342c5c

[ "MIT" ]

null

tests/__init__.py

Aria57/data_science_course

94db4c2ab81c92be2b6c16f6fc6daf717c342c5c

[ "MIT" ]

null

tests/__init__.py

Aria57/data_science_course

94db4c2ab81c92be2b6c16f6fc6daf717c342c5c

[ "MIT" ]

null

"""Unit test package for final_project."""

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null

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1

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5

19080ab67a5370a9b8c64910b074cd23087f2ec7

184

py

Python

test/test_helloworld_hypothesis.py

tdcox/pytorch1

d3c7a51eb38d0a56c3d77251b52dd8b3c111902d

[ "Apache-2.0" ]

null

test/test_helloworld_hypothesis.py

tdcox/pytorch1

d3c7a51eb38d0a56c3d77251b52dd8b3c111902d

[ "Apache-2.0" ]

null

test/test_helloworld_hypothesis.py

tdcox/pytorch1

d3c7a51eb38d0a56c3d77251b52dd8b3c111902d

[ "Apache-2.0" ]

null

import helloworld from hypothesis import given from hypothesis.strategies import text @given(text()) def test_helloname(s): assert helloworld.helloname(s) == 'Hello, ' + s + '!'

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5

ef6fc53c30b6526a9990087dee012a665a8a97fe

997

py

Python

src/deep_rlsp/util/dist.py

HumanCompatibleAI/deep-rlsp

81941693aba2aa9157ca96e96567f4e3cb95fbc3

[ "MIT" ]

24

2021-04-17T21:32:43.000Z

2021-08-07T17:20:15.000Z

src/deep_rlsp/util/dist.py

HumanCompatibleAI/deep-rlsp

81941693aba2aa9157ca96e96567f4e3cb95fbc3

[ "MIT" ]

null

src/deep_rlsp/util/dist.py

HumanCompatibleAI/deep-rlsp

81941693aba2aa9157ca96e96567f4e3cb95fbc3

[ "MIT" ]

7

2021-04-17T21:32:48.000Z

2022-02-09T04:18:39.000Z

import numpy as np from scipy.stats import norm, laplace class NormalDistribution(object): def __init__(self, mu, sigma=1): self.mu = mu self.sigma = sigma self.distribution = norm(loc=mu, scale=sigma) def rvs(self): """sample""" return self.distribution.rvs() def pdf(self, x): return self.distribution.pdf(x) def logpdf(self, x): return self.distribution.logpdf(x) def logdistr_grad(self, x): return (self.mu - x) / (self.sigma ** 2) class LaplaceDistribution(object): def __init__(self, mu, b=1): self.mu = mu self.b = b self.distribution = laplace(loc=mu, scale=b) def rvs(self): """sample""" return self.distribution.rvs() def pdf(self, x): return self.distribution.pdf(x) def logpdf(self, x): return self.distribution.logpdf(x) def logdistr_grad(self, x): return (self.mu - x) / (np.fabs(x - self.mu) * self.b)

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ef9848aa794ca6fd191e658f520cc28ef32694c1

77

py

Python

pythonteste/aula08.py

kaue-pessoa/cursoemvideo-python

d0f651a85d43c1800fcbc14cad0d8c20c86dbacf

[ "MIT" ]

null

pythonteste/aula08.py

kaue-pessoa/cursoemvideo-python

d0f651a85d43c1800fcbc14cad0d8c20c86dbacf

[ "MIT" ]

null

pythonteste/aula08.py

kaue-pessoa/cursoemvideo-python

d0f651a85d43c1800fcbc14cad0d8c20c86dbacf

[ "MIT" ]

null

import emoji print(emoji('Olá mundo : kiss_closed_eyes :',use_aliases=True))

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1

0

1

0

5

efbdc3ae661d089dc47aaa82c6ef3324fcdf6c48

1,048

py

Python

test/test_text_location_annotation.py

Sage-Bionetworks/nlp-sandbox-client

e51720b35ca3413ccee71b9cdc223ce3578fe0fd

[ "Apache-2.0" ]

3

2021-06-15T16:36:10.000Z

2021-11-15T01:44:46.000Z

test/test_text_location_annotation.py

nlpsandbox/nlpsandbox-client

8cba4f65ff2c06cbef7dc50f45b0aec9b8ee0476

[ "Apache-2.0" ]

165

2020-11-23T00:36:40.000Z

2022-03-24T00:53:59.000Z

test/test_text_location_annotation.py

data2health/nlp-sandbox-evaluation

e51720b35ca3413ccee71b9cdc223ce3578fe0fd

[ "Apache-2.0" ]

3

2020-12-11T00:04:13.000Z

2022-01-03T16:59:10.000Z

""" NLP Sandbox API NLP Sandbox REST API # noqa: E501 The version of the OpenAPI document: 1.2.0 Contact: team@nlpsandbox.io Generated by: https://openapi-generator.tech """ import sys import unittest import nlpsandbox from nlpsandbox.model.text_annotation import TextAnnotation from nlpsandbox.model.text_location_annotation_all_of import TextLocationAnnotationAllOf globals()['TextAnnotation'] = TextAnnotation globals()['TextLocationAnnotationAllOf'] = TextLocationAnnotationAllOf from nlpsandbox.model.text_location_annotation import TextLocationAnnotation class TestTextLocationAnnotation(unittest.TestCase): """TextLocationAnnotation unit test stubs""" def setUp(self): pass def tearDown(self): pass def testTextLocationAnnotation(self): """Test TextLocationAnnotation""" # FIXME: construct object with mandatory attributes with example values # model = TextLocationAnnotation() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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1

0

1

0

5

ef0d1d8ccaa984dbfd72e2aa50b6f98e127d2bac

150

py

Python

dnspod/admin.py

huzichunjohn/compass

aacd85ad8df3e9c24eab045be1c5b4e3a72d577f

[ "Apache-2.0" ]

null

dnspod/admin.py

huzichunjohn/compass

aacd85ad8df3e9c24eab045be1c5b4e3a72d577f

[ "Apache-2.0" ]

null

dnspod/admin.py

huzichunjohn/compass

aacd85ad8df3e9c24eab045be1c5b4e3a72d577f

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Domain class DomainAdmin(admin.ModelAdmin): pass admin.site.register(Domain, DomainAdmin)

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null

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5

ef4d665243428eb77b1a6f93e8dc44dec92cc837

82

py

Python

statcode/__main__.py

luckyvs1/statcode

320705248b9263c16540945d7735d597390ea8d5

[ "MIT" ]

248

2018-07-10T04:51:21.000Z

2022-01-27T00:24:26.000Z

statcode/__main__.py

luckyvs1/statcode

320705248b9263c16540945d7735d597390ea8d5

[ "MIT" ]

13

2018-07-10T08:12:11.000Z

2019-05-01T16:47:35.000Z

statcode/__main__.py

luckyvs1/statcode

320705248b9263c16540945d7735d597390ea8d5

[ "MIT" ]

18

2018-07-10T06:55:00.000Z

2021-01-19T03:52:03.000Z

import statcode.statcode if __name__ == "__main__": statcode.statcode.main()

16.4

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5

3272c8d2fec5f52e73e24a813594612b5f0f7db6

167

py

Python

flowutils/tests/__init__.py

DavHau/FlowUtils

c221a8d2ab5ecd09e340183b17d710c157109589

[ "BSD-3-Clause" ]

10

2018-12-04T18:33:57.000Z

2022-03-26T17:00:20.000Z

flowutils/tests/__init__.py

DavHau/FlowUtils

c221a8d2ab5ecd09e340183b17d710c157109589

[ "BSD-3-Clause" ]

8

2015-05-16T19:17:47.000Z

2022-03-21T14:49:24.000Z

flowutils/tests/__init__.py

DavHau/FlowUtils

c221a8d2ab5ecd09e340183b17d710c157109589

[ "BSD-3-Clause" ]

5

2019-03-15T01:11:36.000Z

2021-05-14T09:21:26.000Z

import unittest from .transform_tests import TransformsTestCase from .compensation_tests import CompensationTestCase if __name__ == "__main__": unittest.main()

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null

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5

328ccb4faa296f13d22a8b2ef84aea5cdd97b0e5

50

py

Python

icevision/core/components/__init__.py

ai-fast-track/mantisshrimp

cc6d6a4a048f6ddda2782b6593dcd6b083a673e4

[ "Apache-2.0" ]

580

2020-09-10T06:29:57.000Z

2022-03-29T19:34:54.000Z

icevision/core/components/__init__.py

ai-fast-track/mantisshrimp

cc6d6a4a048f6ddda2782b6593dcd6b083a673e4

[ "Apache-2.0" ]

691

2020-09-05T03:08:34.000Z

2022-03-31T23:47:06.000Z

icevision/core/components/__init__.py

lgvaz/mantisshrimp2

743cb7df0dae7eb1331fc2bb66fc9ca09db496cd

[ "Apache-2.0" ]

105

2020-09-09T10:41:35.000Z

2022-03-25T17:16:49.000Z

from icevision.core.components.composite import *

25

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5

32973b21f2f987902e2973cb07d3c7bb9520f2e9

192

py

Python

howfairis/exceptions/howfairis_unknown_platform_exception.py

cffbots/howfairis

008552b7266e229bd38553631d7dfe3554df18b2

[ "Apache-2.0" ]

27

2020-09-10T10:04:56.000Z

2022-02-07T23:24:13.000Z

howfairis/exceptions/howfairis_unknown_platform_exception.py

cffbots/howfairis

008552b7266e229bd38553631d7dfe3554df18b2

[ "Apache-2.0" ]

297

2020-09-07T14:10:08.000Z

2022-02-18T09:46:30.000Z

howfairis/exceptions/howfairis_unknown_platform_exception.py

cffbots/howfairis

008552b7266e229bd38553631d7dfe3554df18b2

[ "Apache-2.0" ]

6

2020-09-10T12:58:37.000Z

2022-03-11T10:17:21.000Z

from .howfairis_exception import HowfairisException class HowfairisUnknownPlatformException(HowfairisException): """Raised when trying to use an unsupported code repository platform."""

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0863b5c1d5faebf9bef9d421d0dd597e9d274a48

9,428

py

Python

core/samples/gmm_manager.py

hehewa/CAT

448b5e9bc8b81706a325cfdcb2d7f44a38c9a6f1

[ "Apache-2.0" ]

1

2021-08-19T06:40:25.000Z

core/samples/gmm_manager.py

wahahamyt/CAT

448b5e9bc8b81706a325cfdcb2d7f44a38c9a6f1

[ "Apache-2.0" ]

null

core/samples/gmm_manager.py

wahahamyt/CAT

448b5e9bc8b81706a325cfdcb2d7f44a38c9a6f1

[ "Apache-2.0" ]

null

import os import cv2 import numpy as np import torch import torchvision from net.wae64 import WAE64 from tracking.options import opts BIGNUM = 1e22 # e22 class postive_samples_manager(): def __init__(self, pos_num): # postive samples self.pos_features = [] # Distance matrix stores the square of the euclidean distance between each pair of samples. Initialise it to inf self.distance_matrix = torch.ones((pos_num, pos_num), dtype=torch.float32).cuda() * BIGNUM # Kernel matrix, used to update distance matrix self.gram_matrix = torch.ones((pos_num, pos_num), dtype=torch.float32).cuda() * BIGNUM # Find the minimum allowed sample weight.Samples are discarded if their weights become lower self.minimum_sample_weight = opts['lr_init'] * np.power((1 - opts['lr_init']), (2 * pos_num)) # Initialize and allocate # self.prior_weights = torch.zeros((pos_num, 1), dtype=torch.float32).cuda() self.sample_weights = torch.zeros((pos_num, 1), dtype=torch.float32).cuda() self.num_training_samples = 0 self.pos_num = pos_num self.samples = [] self.pos_ious = [] self.step_vis = 0 self.last_added = -1 if opts["debug"]: encoder = WAE64().cuda().eval() checkpoint = torch.load(opts["ckpt_path"]) pretrain_dict = checkpoint['model_states']['net'] model_dict = encoder.state_dict() pretrain_dict = {k: v for k, v in pretrain_dict.items() if k in model_dict and model_dict[k].size() == v.size()} encoder.load_state_dict(pretrain_dict) self.decoder = encoder.decoder del encoder def insert(self, new_train_samples, ious): if len(self.pos_features) < self.pos_num: self.pos_features.append(new_train_samples) self.samples.append(new_train_samples.mean(0)) self.pos_ious.append(ious) else: self.distance_matrix = compute_distance_matrix(self.samples) self.gram_matrix = compute_gram_matrix(self.samples) self.update_sample_space_model(new_train_samples, ious) if opts["debug"]: a = torchvision.utils.make_grid(self.decoder(torch.stack(self.samples)), nrow=10) a = a.mul(255).byte() a = a.cpu().numpy().transpose((1, 2, 0)) cv2.imshow("pos sample space", a) # writer.add_image("SampleSpace", a, self.step_vis) self.num_training_samples += 1 def update_sample_space_model(self, new_train_samples, ious): # Set mean feature as the current features' representation new_train_sample = torch.sum(new_train_samples, 0) / len(new_train_samples) dist_vector = calc_distvector(new_train_sample.unsqueeze(0), torch.stack(self.samples)) new_sample_id = -1 # Find sample closest to the new sample new_sample_min_dist, closest_sample_to_new_sample = torch.min(dist_vector), torch.argmin(dist_vector) # Find the closest pair amongst existing samples existing_samples_min_dist, closest_existing_sample_pair = torch.min(self.distance_matrix.view(-1)), torch.argmin(self.distance_matrix.view(-1)) closest_existing_sample1, closest_existing_sample2 = ind2sub(self.distance_matrix.shape, closest_existing_sample_pair) if torch.equal(closest_existing_sample1, closest_existing_sample2): os.error('Score matrix diagonal filled wrongly') if new_sample_min_dist < existing_samples_min_dist: new_sample_id = closest_sample_to_new_sample # Update distance matrix and the gram matrix self.update_distance_matrix(dist_vector, new_sample_id) if new_sample_id >= 0: # self.step_vis += 1 self.pos_features[new_sample_id] = new_train_samples self.samples[new_sample_id] = new_train_samples.mean(0) self.pos_ious[new_sample_id] = ious if self.num_training_samples < self.pos_num: self.num_training_samples += 1 self.last_added = new_sample_id def update_distance_matrix(self, dist_vector, new_id): if new_id >= 0: # Update distance matrix if self.distance_matrix[:, new_id].shape == dist_vector.t().shape: self.distance_matrix[:, new_id] = dist_vector.t() self.distance_matrix[new_id, :] = dist_vector self.distance_matrix[new_id, new_id] = BIGNUM else: self.distance_matrix[:, new_id] = dist_vector self.distance_matrix[new_id, :] = dist_vector self.distance_matrix[new_id, new_id] = BIGNUM elif new_id < 0: pass # The new sample is discared class negative_samples_manger(): def __init__(self, neg_num): # postive samples self.neg_features = [] # Distance matrix stores the square of the euclidean distance between each pair of samples. Initialise it to inf self.distance_matrix = torch.ones((neg_num, neg_num), dtype=torch.float32).cuda() * BIGNUM # Kernel matrix, used to update distance matrix self.gram_matrix = torch.ones((neg_num, neg_num), dtype=torch.float32).cuda() * BIGNUM # Initialize and allocate self.sample_weights = torch.zeros((neg_num, 1), dtype=torch.float32).cuda() self.num_training_samples = 0 self.neg_num = neg_num self.samples = [] self.neg_ious = [] def insert(self, new_train_samples, ious): if len(self.neg_features) < self.neg_num: self.neg_features.append(new_train_samples) self.samples.append(new_train_samples.mean(0)) self.neg_ious.append(ious) else: self.distance_matrix = compute_distance_matrix(self.samples) self.gram_matrix = compute_gram_matrix(self.samples) self.update_sample_space_model(new_train_samples, ious) self.num_training_samples += 1 def update_sample_space_model(self, new_train_samples, ious): # Set mean feature as the current features' representation new_train_sample = torch.sum(new_train_samples, 0) / len(new_train_samples) dist_vector = calc_distvector(new_train_sample.unsqueeze(0), torch.stack(self.samples)) new_sample_id = -1 # Find sample closest to the new sample new_sample_min_dist, closest_sample_to_new_sample = torch.min(dist_vector), torch.argmin(dist_vector) # Find the closest pair amongst existing samples existing_samples_min_dist, closest_existing_sample_pair = torch.min(self.distance_matrix.view(-1)), torch.argmin(self.distance_matrix.view(-1)) closest_existing_sample1, closest_existing_sample2 = ind2sub(self.distance_matrix.shape, closest_existing_sample_pair) if torch.equal(closest_existing_sample1, closest_existing_sample2): os.error('Score matrix diagonal filled wrongly') if new_sample_min_dist < existing_samples_min_dist: # Set the position of the merged sample new_sample_id = closest_sample_to_new_sample # Update distance matrix and the gram matrix self.update_distance_matrix(dist_vector, new_sample_id) if new_sample_id >= 0: # self.step_vis += 1 self.neg_features[new_sample_id] = new_train_samples self.samples[new_sample_id] = new_train_samples.mean(0) self.neg_ious[new_sample_id] = ious if self.num_training_samples < self.neg_num: self.num_training_samples += 1 self.last_added = new_sample_id def update_distance_matrix(self, dist_vector, new_id): if new_id >= 0: # Update distance matrix if self.distance_matrix[:, new_id].shape == dist_vector.t().shape: self.distance_matrix[:, new_id] = dist_vector.t() self.distance_matrix[new_id, :] = dist_vector self.distance_matrix[new_id, new_id] = BIGNUM else: self.distance_matrix[:, new_id] = dist_vector self.distance_matrix[new_id, :] = dist_vector self.distance_matrix[new_id, new_id] = BIGNUM elif new_id < 0: pass # The new sample is discared def compute_distance_matrix(x): x = torch.stack(x) m, n = x.shape G = x.mm(x.t()) H = G.diagonal().repeat((m,1)) distance_matrix = H + H.t() - 2 * G for i in range(distance_matrix.shape[0]): distance_matrix[i][i] = BIGNUM return distance_matrix def compute_gram_matrix(x): x = torch.stack(x) gram_matrix = x.mm(x.t()) return gram_matrix def sub2ind(array_shape, rows, cols): ind = rows*array_shape[1] + cols ind[ind < 0] = -1 ind[ind >= array_shape[0]*array_shape[1]] = -1 return ind def ind2sub(array_shape, ind): ind[ind < 0] = -1 ind[ind >= array_shape[0]*array_shape[1]] = -1 rows = (ind.int() / array_shape[1]) cols = ind.int() % array_shape[1] return rows, cols def calc_distvector(A, B): m = A.shape[0] n = B.shape[0] M = A.mm(B.t()) H = A.pow(2).sum(dim=1).repeat(1, n) K = B.pow(2).sum(dim=1).repeat(m, 1) return torch.sqrt(-2 * M + H + K)

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0

null

0

1

0

null

0

5

3eade1a05ec4e7d01542008e02e5a391b6ac45a2

66

py

Python

snorkel/slicing/sf/__init__.py

melonwater211/snorkel

c5d00629e087130d1946bb6a85c58827790af425

[ "Apache-2.0" ]

2,906

2016-07-12T11:11:21.000Z

2019-08-12T20:38:19.000Z

snorkel/slicing/sf/__init__.py

melonwater211/snorkel

c5d00629e087130d1946bb6a85c58827790af425

[ "Apache-2.0" ]

1,080

2016-07-12T21:07:22.000Z

2019-08-12T19:33:54.000Z

snorkel/slicing/sf/__init__.py

melonwater211/snorkel

c5d00629e087130d1946bb6a85c58827790af425

[ "Apache-2.0" ]

609

2016-07-13T16:03:55.000Z

2019-08-08T17:47:54.000Z

from .core import SlicingFunction, slicing_function # noqa: F401

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5

3eccebd63b29b119fdc34072908f7e06f61dd43c

264

py

Python

autoflow/workflow/components/preprocessing/reduce/random_trees_embedding.py

auto-flow/autoflow

f5903424ad8694d57741a0bd6dfeaba320ea6517

[ "BSD-3-Clause" ]

49

2020-04-16T11:17:28.000Z

2020-05-06T01:32:44.000Z

autoflow/workflow/components/preprocessing/reduce/random_trees_embedding.py

auto-flow/autoflow

f5903424ad8694d57741a0bd6dfeaba320ea6517

[ "BSD-3-Clause" ]

null

autoflow/workflow/components/preprocessing/reduce/random_trees_embedding.py

auto-flow/autoflow

f5903424ad8694d57741a0bd6dfeaba320ea6517

[ "BSD-3-Clause" ]

3

2020-04-17T00:53:24.000Z

2020-04-23T03:04:26.000Z

from autoflow.workflow.components.feature_engineer_base import AutoFlowFeatureEngineerAlgorithm __all__=["RandomTreesEmbedding"] class RandomTreesEmbedding(AutoFlowFeatureEngineerAlgorithm): module__ = "sklearn.ensemble" class__ = "RandomTreesEmbedding"

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null

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1

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5

3ecd345ff641ba5f3649ff5e46a57ef4dfd7d673

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py

Python

abcdqc_batchserver/__init__.py

abcdqc/abcdqc_backend

6b6b178c3e8d2bfe23a783c84463b23718c3d8e0

[ "CC0-1.0" ]

null

abcdqc_batchserver/__init__.py

abcdqc/abcdqc_backend

6b6b178c3e8d2bfe23a783c84463b23718c3d8e0

[ "CC0-1.0" ]

null

abcdqc_batchserver/__init__.py

abcdqc/abcdqc_backend

6b6b178c3e8d2bfe23a783c84463b23718c3d8e0

[ "CC0-1.0" ]

null

# import main.py?

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null

0

1

0

5

3eefe0b5d5fc2d1e79983f3be54dd50e700aa975

223

py

Python

simconnect/__init__.py

patricksurry/pysimconnect

fa9b05d41d7f6ff0c3f6fa630cc514f57be8f6f0

[ "MIT" ]

3

2022-02-16T02:23:42.000Z

2022-03-21T00:05:40.000Z

simconnect/__init__.py

patricksurry/pysimconnect

fa9b05d41d7f6ff0c3f6fa630cc514f57be8f6f0

[ "MIT" ]

2

2022-03-29T11:10:59.000Z

2022-03-30T14:48:08.000Z

simconnect/__init__.py

patricksurry/pysimconnect

fa9b05d41d7f6ff0c3f6fa630cc514f57be8f6f0

[ "MIT" ]

null

from .scdefs import * from .sc import SimConnect, RECV_P from .receiver import Receiver, ReceiverInstance from .datadef import SimData, SimDataHandler , DataDefinition from .scvars import SIMVARS, EVENTS, UNITS, DIMENSIONS

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5

f5ed39ce6bb91fba619acf3a10753ee680dc9cd3

228

py

Python

server/server/organizations/signals.py

connectiveproject/connective

8866082b2147feef0e5254ac4215987b9d881396

[ "MIT" ]

4

2021-07-05T10:49:26.000Z

2021-11-24T11:34:43.000Z

server/server/organizations/signals.py

connectiveproject/connective

8866082b2147feef0e5254ac4215987b9d881396

[ "MIT" ]

39

2021-06-21T15:02:37.000Z

2022-02-28T15:07:42.000Z

server/server/organizations/signals.py

connectiveproject/connective

8866082b2147feef0e5254ac4215987b9d881396

[ "MIT" ]

17

2021-06-16T08:59:45.000Z

2021-09-29T11:35:38.000Z

from django.dispatch import Signal, receiver activity_order_created_signal: Signal = Signal() @receiver(activity_order_created_signal) def activity_order_created(sender, **kwargs): # noqa:F811 pass # do nothing for now

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null

0

1

0

5

f5ee99ec5e1a50b98c9f975092cf474550fcb0c0

200

py

Python

tests/hypothesis.py

aluhrs13/HPI

e750666e30e8987f3a4c46755857dc85dd64446c

[ "MIT" ]

1,026

2020-03-16T16:53:29.000Z

2022-03-29T16:03:38.000Z

tests/hypothesis.py

aluhrs13/HPI

e750666e30e8987f3a4c46755857dc85dd64446c

[ "MIT" ]

102

2020-03-18T22:53:29.000Z

2022-03-22T00:34:46.000Z

tests/hypothesis.py

aluhrs13/HPI

e750666e30e8987f3a4c46755857dc85dd64446c

[ "MIT" ]

50

2020-03-17T21:00:34.000Z

2022-03-28T08:37:13.000Z

from .common import skip_if_not_karlicoss as pytestmark def test() -> None: from my.hypothesis import pages, highlights assert len(list(pages())) > 10 assert len(list(highlights())) > 10

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1

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5

f5fdfd80b4c8be3c3697b1d2126ce066ea392ffc

24

py

Python

hlfbt/serial_console/_argparse/__init__.py

hlfbt/serial-console

f9c770ea841c8ac1283b84f5883326363d4db1a8

[ "MIT" ]

1

2020-04-15T15:29:45.000Z

hlfbt/serial_console/_argparse/__init__.py

hlfbt/serial-console

f9c770ea841c8ac1283b84f5883326363d4db1a8

[ "MIT" ]

null

hlfbt/serial_console/_argparse/__init__.py

hlfbt/serial-console

f9c770ea841c8ac1283b84f5883326363d4db1a8

[ "MIT" ]

null

from .formatter import *

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1

0

null

0

1

0

1

0

5

eb0227f1807b356a08258a3b6e3e9542a5382d0f

5,621

py

Python

tests/osm/helpers.py

CN-UPB/python-mano-wrappers

8e3607feaa97bc3e2c906ee8e4b25b21853ea6cf

[ "Apache-2.0" ]

null

tests/osm/helpers.py

CN-UPB/python-mano-wrappers

8e3607feaa97bc3e2c906ee8e4b25b21853ea6cf

[ "Apache-2.0" ]

null

tests/osm/helpers.py

CN-UPB/python-mano-wrappers

8e3607feaa97bc3e2c906ee8e4b25b21853ea6cf

[ "Apache-2.0" ]

null

import json import time from wrappers import OSMClient from .config import * class Helpers(): def _upload_test_vnf(): time.sleep(3) # Wait osm_vnfpkgm = OSMClient.VnfPkgm(HOST_URL) osm_auth = OSMClient.Auth(HOST_URL) _token = json.loads(osm_auth.auth(username=USERNAME, password=PASSWORD)) _token = json.loads(_token["data"]) response = json.loads(osm_vnfpkgm.post_vnf_packages(token=_token["id"], package_path="tests/samples/test_osm_cirros_vnfd.tar.gz")) if response["error"]: return True else: return False def _delete_test_vnf(vnfname="test_osm_cirros_vnfd"): time.sleep(3) # Wait osm_vnfpkgm = OSMClient.VnfPkgm(HOST_URL) osm_auth = OSMClient.Auth(HOST_URL) _token = json.loads(osm_auth.auth(username=USERNAME, password=PASSWORD)) _token = json.loads(_token["data"]) _vnfd_list = json.loads(osm_vnfpkgm.get_vnf_packages(token=_token["id"])) _vnfd_list = json.loads(_vnfd_list["data"]) _vnfd = None for _v in _vnfd_list: if vnfname == _v['id']: _vnfd = _v['_id'] response = None if _vnfd: response = json.loads(osm_vnfpkgm.delete_vnf_packages_vnfpkgid( token=_token["id"], vnfPkgId=_vnfd)) def _upload_test_nsd(): time.sleep(3) # Wait osm_vnfpkgm = OSMClient.VnfPkgm(HOST_URL) osm_nsd = OSMClient.Nsd(HOST_URL) osm_auth = OSMClient.Auth(HOST_URL) _token = json.loads(osm_auth.auth(username=USERNAME, password=PASSWORD)) _token = json.loads(_token["data"]) osm_vnfpkgm.post_vnf_packages(token=_token["id"], package_path="tests/samples/test_osm_cirros_vnfd.tar.gz") response = json.loads(osm_nsd.post_ns_descriptors(token=_token["id"], package_path="tests/samples/test_osm_cirros_nsd.tar.gz")) if response["error"]: return True else: return False def _delete_test_nsd(nsdname="test_osm_cirros_2vnf_nsd"): osm_vnfpkgm = OSMClient.VnfPkgm(HOST_URL) osm_nsd = OSMClient.Nsd(HOST_URL) osm_auth = OSMClient.Auth(HOST_URL) _token = json.loads(osm_auth.auth(username=USERNAME, password=PASSWORD)) _token = json.loads(_token["data"]) _nsd_list = json.loads(osm_nsd.get_ns_descriptors(token=_token["id"])) _nsd_list = json.loads(_nsd_list["data"]) _nsd = None for _n in _nsd_list: if "test_osm_cirros_2vnf_nsd" == _n['id']: _nsd = _n['_id'] time.sleep(10) # Wait for NSD onboarding response = json.loads(osm_nsd.delete_ns_descriptors_nsdinfoid( token=_token["id"], nsdinfoid=_nsd)) time.sleep(2) # Wait for NSD onboarding _vnfd_list = json.loads(osm_vnfpkgm.get_vnf_packages(token=_token["id"])) _vnfd_list = json.loads(_vnfd_list["data"]) _vnfd = None for _v in _vnfd_list: if nsdname == _v['id']: _vnfd = _v['_id'] response = None if _vnfd: response = json.loads(osm_vnfpkgm.delete_vnf_packages_vnfpkgid( token=_token["id"], vnfPkgId=_vnfd)) def _upload_reference_vnfd_for_nsd(_referencevnfdname="test_osm_cirros_vnfd"): time.sleep(3) # Wait osm_vnfpkgm = OSMClient.VnfPkgm(HOST_URL) osm_auth = OSMClient.Auth(HOST_URL) _token = json.loads(osm_auth.auth(username=USERNAME, password=PASSWORD)) _token = json.loads(_token["data"]) if _referencevnfdname: response = json.loads(osm_vnfpkgm.post_vnf_packages(token=_token["id"], package_path="tests/samples/test_osm_cirros_vnfd.tar.gz")) if response["error"]: return True else: return False def _upload_test_ns_instance(): time.sleep(3) # Wait osm_nslcm = OSMClient.Nslcm(HOST_URL) osm_auth = OSMClient.Auth(HOST_URL) _token = json.loads(osm_auth.auth(username=USERNAME, password=PASSWORD)) _token = json.loads(_token["data"]) response = json.loads(osm_nslcm.post_ns_instances(token=_token["id"], nsDescription = NSDESCRIPTION, nsName = NSNAME, nsdId = NSDID, vimAccountId = VIMACCOUNTID)) response = json.loads(response["data"]) def _delete_test_ns_instance(): time.sleep(3) # Wait osm_nslcm = OSMClient.Nslcm(HOST_URL) osm_auth = OSMClient.Auth(HOST_URL) _token = json.loads(osm_auth.auth(username=USERNAME, password=PASSWORD)) _token = json.loads(_token["data"]) _ns_list = json.loads(osm_nslcm.get_ns_instances(token=_token["id"])) _ns_list = json.loads(_ns_list["data"]) _ns = None for _n in _ns_list: if "test" == _n['short-name']: _ns = _n['_id'] # time.sleep(5) #wait for NS Creation response = None if _ns: response = json.loads(osm_nslcm.post_ns_instances_nsinstanceid_terminate( token=_token["id"], nsInstanceId=_ns)) _rid = response["data"]

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5

eb3d2f87c870ec42c4a41901601a4b538492ecab

157

py

Python

django_jinja/builtins/__init__.py

hartym/django-jinja

97c93c37b5d9ccc4b2ae34e1fc2f63929780e271

[ "BSD-3-Clause" ]

1

2015-11-07T12:37:58.000Z

django_jinja/builtins/__init__.py

hartym/django-jinja

97c93c37b5d9ccc4b2ae34e1fc2f63929780e271

[ "BSD-3-Clause" ]

null

django_jinja/builtins/__init__.py

hartym/django-jinja

97c93c37b5d9ccc4b2ae34e1fc2f63929780e271

[ "BSD-3-Clause" ]

1

2021-02-12T14:15:58.000Z

# -*- coding: utf-8 -*- from . import filters from . import global_context from . import extensions __all__ = ['filters', 'global_context', 'extensions']

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5

de3fc3d77815eb920becf32fb10cf7ae6acf467f

131

py

Python

pythonshow3/tests/test_first.py

amol-/blackhole

8dc1c13ce9fa4565a67fd9cb2a07b69fba894244

[ "MIT" ]

1

2019-03-22T17:00:03.000Z

pythonshow3/tests/test_first.py

amol-/blackhole

8dc1c13ce9fa4565a67fd9cb2a07b69fba894244

[ "MIT" ]

null

pythonshow3/tests/test_first.py

amol-/blackhole

8dc1c13ce9fa4565a67fd9cb2a07b69fba894244

[ "MIT" ]

null

import unittest class TestFirstCase(unittest.TestCase): def test_one(self): pass def test_two(self): pass

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null

0

1

0

1

0

1

0

5

de58e421884e640f946f877264fd4c02d833351d

121

py

Python

Binance-/ui_to_py.py

SeveruS400/Binance-Api--Python

660b8c3577ddaa0b5aeb08f7e543bec935ed4cfd

[ "MIT" ]

null

Binance-/ui_to_py.py

SeveruS400/Binance-Api--Python

660b8c3577ddaa0b5aeb08f7e543bec935ed4cfd

[ "MIT" ]

null

Binance-/ui_to_py.py

SeveruS400/Binance-Api--Python

660b8c3577ddaa0b5aeb08f7e543bec935ed4cfd

[ "MIT" ]

null

from PyQt5 import uic with open('Coin_Trader.py','w',encoding="utf-8") as fout: uic.compileUi('Coin_Trader.ui',fout)

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0

1

0

1

0

5

de609e2b367b281eeca21161b11fcf4c2fe7bfea

157

py

Python

learnet/initializers.py

ker-zhao/Learnet

ebac1810016c0dab96286331fa08f26e338115bc

[ "Apache-2.0" ]

2

2020-01-22T08:37:29.000Z

2020-03-10T13:08:19.000Z

learnet/initializers.py

ker-zhao/Learnet

ebac1810016c0dab96286331fa08f26e338115bc

[ "Apache-2.0" ]

null

learnet/initializers.py

ker-zhao/Learnet

ebac1810016c0dab96286331fa08f26e338115bc

[ "Apache-2.0" ]

null

from .core import lib def normal(shape): scale = 0.1 return lib.np.random.randn(*shape) * scale def zeros(shape): return lib.np.zeros(shape)

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null

0

1

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1

0

5

de71518081a9adc572af0ce14a0d88c49f601126

170

py

Python

utils/authentication.py

pwqbot/eoj3

46be6a6f192798e74eab7b327bb8df7ca73575d9

[ "MIT" ]

107

2017-03-15T11:53:45.000Z

2019-09-06T11:23:44.000Z

utils/authentication.py

OS-EDU/eoj3

f117dcd4e3cea7d150c3e3794e7255e00d486c88

[ "MIT" ]

27

2019-09-24T12:44:48.000Z

2022-03-11T23:18:21.000Z

utils/authentication.py

OS-EDU/eoj3

f117dcd4e3cea7d150c3e3794e7255e00d486c88

[ "MIT" ]

25

2019-10-11T10:39:12.000Z

2022-03-18T05:15:57.000Z

from rest_framework.authentication import SessionAuthentication class UnsafeSessionAuthentication(SessionAuthentication): def enforce_csrf(self, request): return

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null

0

1

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1

0

5

de8a467965195e9a61c3bd97511ca85b29081b06

307

py

Python

test.py

deprekate/fasta36

239b58f8b860aca66c304a668129f41c26c35c94

[ "Apache-2.0" ]

null

test.py

deprekate/fasta36

239b58f8b860aca66c304a668129f41c26c35c94

[ "Apache-2.0" ]

null

test.py

deprekate/fasta36

239b58f8b860aca66c304a668129f41c26c35c94

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import fasta36 import faulthandler; faulthandler.enable() seq = ">test\nMTGLTIKQEAFCQAYIETGNASEAYRTAYAADKMKPEVVHVQACKLQDNPKIALRIKELRGEIKQRHNVTVDSLLAELEEARQKALSAETPQSSAAVAATMGKAKLVGLDKQIIDHTSSDGTMATKPTTIRLVGVDPANGKPS" filename = '10702.1.fas' print(fasta36.best_pid(seq, filename))

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py

Python

src/app/pages/dmca.py

ThatOneAnimeGuy/seiso

f8ad20a0ec59b86b88149723eafc8e6d9f8be451

[ "BSD-3-Clause" ]

3

2021-11-08T05:23:08.000Z

2021-11-08T09:46:51.000Z

src/app/pages/dmca.py

ThatOneAnimeGuy/seiso

f8ad20a0ec59b86b88149723eafc8e6d9f8be451

[ "BSD-3-Clause" ]

null

src/app/pages/dmca.py

ThatOneAnimeGuy/seiso

f8ad20a0ec59b86b88149723eafc8e6d9f8be451

[ "BSD-3-Clause" ]

2

2021-11-08T05:23:12.000Z

2021-11-16T01:16:35.000Z

from flask import Blueprint, make_response, redirect, url_for from ...utils.utils import make_template dmca = Blueprint('dmca', __name__) @dmca.route('/dmca') def get_dmca(): return make_template('dmca/dmca.html', 200)

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py

Python

article/admin.py

dolikemc/hostthewaytry

a1dcbc596da18aac760a18773bb89896a44e842d

[ "BSD-2-Clause" ]

null

article/admin.py

dolikemc/hostthewaytry

a1dcbc596da18aac760a18773bb89896a44e842d

[ "BSD-2-Clause" ]

38

2019-01-22T10:50:01.000Z

2019-01-28T15:19:15.000Z

article/admin.py

dolikemc/hostthewaytry

a1dcbc596da18aac760a18773bb89896a44e842d

[ "BSD-2-Clause" ]

null

from django.contrib import admin from article.models import TextArticle, ImageArticle # Register your models here. admin.site.register(TextArticle) admin.site.register(ImageArticle)

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dee738e3e5e65fda04e09cf67541c57fc73fe1f1

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py

Python

fake_site_pkg/null_ast.py

aroberge/pyextensions

cd18f6936df2c4ffafacb445fe77f8908d67f4f1

[ "MIT" ]

null

fake_site_pkg/null_ast.py

aroberge/pyextensions

cd18f6936df2c4ffafacb445fe77f8908d67f4f1

[ "MIT" ]

null

fake_site_pkg/null_ast.py

aroberge/pyextensions

cd18f6936df2c4ffafacb445fe77f8908d67f4f1

[ "MIT" ]

null

"""Returns the same AST tree it receives as input. Used for testing. """ def transform_ast(tree): return tree

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123

py

Python

qqc_include.py

barneydesmond/qqc

8fb89892a600931c5b93d9e78420b9676ffb6b28

[ "MIT" ]

null

qqc_include.py

barneydesmond/qqc

8fb89892a600931c5b93d9e78420b9676ffb6b28

[ "MIT" ]

null

qqc_include.py

barneydesmond/qqc

8fb89892a600931c5b93d9e78420b9676ffb6b28

[ "MIT" ]

null

db_host = 'localhost' db_name = 'qqc_PROJECTNAME' db_user = 'qqc_PROJECTNAME' db_pass = 'SECUREPASSWORD' __tabout = "\t"

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py

Python

tests/api/test_confusion_matrix.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

null

tests/api/test_confusion_matrix.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

11

2021-12-08T10:34:17.000Z

2022-01-20T13:40:05.000Z

tests/api/test_confusion_matrix.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

null

import itertools from pandas.core.reshape.reshape import _stack_multi_column_index import pytest import sklearn as sk import sklearn.metrics as skm import numpy as np import mmu from mmu.commons._testing import generate_test_labels from mmu.commons._testing import greater_equal_tol import mmu.lib._mmu_core as _core Y_DTYPES = [ bool, np.bool_, int, np.int32, np.int64, float, np.float32, np.float64, ] YHAT_DTYPES = [ bool, np.bool_, int, np.int32, np.int64, float, np.float32, np.float64, ] PROBA_DTYPES = [ float, np.float32, np.float64, ] def test_confusion_matrix(): """Check that supported dtypes are handled.""" for y_dtype, yhat_dtype in itertools.product(Y_DTYPES, YHAT_DTYPES): _, yhat, y = generate_test_labels( N=1000, y_dtype=y_dtype, yhat_dtype=yhat_dtype ) conf_mat = mmu.confusion_matrix(y, yhat) sk_conf_mat = skm.confusion_matrix(y, yhat) assert np.array_equal(conf_mat, sk_conf_mat), ( f"test failed for dtypes: {y_dtype}, {yhat_dtype}" ) def test_confusion_matrix_shapes(): """Check if different shapes are handled correctly.""" _, yhat, y = generate_test_labels(1000) y_shapes = [y, y[None, :], y[:, None]] yhat_shapes = [yhat, yhat[None, :], yhat[:, None]] sk_conf_mat = skm.confusion_matrix(y, yhat) for y_, yhat_ in itertools.product(y_shapes, yhat_shapes): conf_mat = mmu.confusion_matrix(y_, yhat_) assert np.array_equal(conf_mat, sk_conf_mat), ( f"test failed for shape: {y_.shape}, {yhat_.shape}" ) # unequal length with pytest.raises(ValueError): mmu.confusion_matrix(y, yhat[:100]) with pytest.raises(ValueError): mmu.confusion_matrix(y[:100], yhat) # 2d with more than one row/column for the second dimension or 3d y_shapes = [ np.tile(y[:, None], 2), np.tile(y[None, :], (2, 1)), np.tile(y[None, :], (2, 2, 1)), ] yhat_shapes = [ np.tile(yhat[:, None], 2), np.tile(yhat[None, :], (2, 1)), np.tile(yhat[None, :], (2, 2, 1)), ] for y_, yhat_ in itertools.product(y_shapes, yhat_shapes): with pytest.raises(ValueError): mmu.confusion_matrix(y_, yhat_) def test_confusion_matrix_order(): """Check that different orders and shapes are handled correctly.""" _, yhat, y = generate_test_labels(1000) y_orders = [ y.copy(order='C'), y.copy(order='F'), y[None, :].copy(order='C'), y[:, None].copy(order='C'), y[None, :].copy(order='F'), y[:, None].copy(order='F'), ] yhat_orders = [ yhat.copy(order='C'), yhat.copy(order='F'), yhat[None, :].copy(order='C'), yhat[:, None].copy(order='C'), yhat[None, :].copy(order='F'), yhat[:, None].copy(order='F'), ] sk_conf_mat = skm.confusion_matrix(y, yhat) for y_, yhat_ in itertools.product(y_orders, yhat_orders): conf_mat = mmu.confusion_matrix(y_, yhat_) assert np.array_equal(conf_mat, sk_conf_mat), ( f"test failed for shape: {y_.shape}, {yhat_.shape}" ) def test_confusion_matrix_proba(): """Check that supported dtypes are handled correctly.""" thresholds = np.random.uniform(0, 1, 10) for y_dtype, proba_dtype, threshold in itertools.product( Y_DTYPES, PROBA_DTYPES, thresholds ): proba, _, y = generate_test_labels( N=1000, y_dtype=y_dtype, proba_dtype=proba_dtype ) yhat = greater_equal_tol(proba, threshold) sk_conf_mat = skm.confusion_matrix(y, yhat) conf_mat = mmu.confusion_matrix( y, scores=proba, threshold=threshold ) assert np.array_equal(conf_mat, sk_conf_mat), ( f"test failed for dtypes: {y_dtype}, {proba_dtype}" f" and threshold: {threshold}" ) def test_confusion_matrix_proba_shapes(): """Check if different shapes are handled correctly.""" proba, _, y = generate_test_labels(1000) y_shapes = [y, y[None, :], y[:, None]] proba_shapes = [proba, proba[None, :], proba[:, None]] yhat = greater_equal_tol(proba, 0.5) sk_conf_mat = skm.confusion_matrix(y, yhat) for y_, proba_ in itertools.product(y_shapes, proba_shapes): conf_mat = mmu.confusion_matrix( y, scores=proba, threshold=0.5 ) assert np.array_equal(conf_mat, sk_conf_mat), ( f"test failed for shape: {y_.shape}, {proba_.shape}" ) # unequal length with pytest.raises(ValueError): mmu.confusion_matrix(y, scores=proba[:100]) with pytest.raises(ValueError): mmu.confusion_matrix(y[:100], scores=proba) # 2d with more than one row/column for the second dimension or 3d y_shapes = [ np.tile(y[:, None], 2), np.tile(y[None, :], (2, 1)), np.tile(y[None, :], (2, 2, 1)), ] proba_shapes = [ np.tile(proba[:, None], 2), np.tile(proba[None, :], (2, 1)), proba[None, None, :], np.tile(proba[None, :], (2, 2, 1)), ] for y_, proba_ in itertools.product(y_shapes, proba_shapes): with pytest.raises(ValueError): mmu.confusion_matrix(y_, scores=proba_) def test_confusion_matrix_proba_order(): """Check that different orders and shapes are handled correctly.""" proba, _, y = generate_test_labels(1000) y_orders = [ y.copy(order='C'), y.copy(order='F'), y[None, :].copy(order='C'), y[:, None].copy(order='C'), y[None, :].copy(order='F'), y[:, None].copy(order='F'), ] proba_orders = [ proba.copy(order='C'), proba.copy(order='F'), proba[None, :].copy(order='C'), proba[:, None].copy(order='C'), proba[None, :].copy(order='F'), proba[:, None].copy(order='F'), ] yhat = greater_equal_tol(proba, 0.5) sk_conf_mat = skm.confusion_matrix(y, yhat) for y_, proba_ in itertools.product(y_orders, proba_orders): conf_mat = mmu.confusion_matrix(y_, scores=proba_) assert np.array_equal(conf_mat, sk_conf_mat), ( f"test failed for shape: {y_.shape}, {proba.shape}" ) def test_confusion_matrix_runs(): for y_dtype, yhat_dtype in itertools.product(Y_DTYPES, YHAT_DTYPES): _, yhat, y = generate_test_labels( N=4000, y_dtype=y_dtype, yhat_dtype=yhat_dtype ) yhat = yhat.reshape((1000, 4), order='F') y = y.reshape((1000, 4), order='F') sk_conf_mats = np.empty((4, 4), dtype=np.int64) for i in range(4): sk_conf_mats[i, :] = skm.confusion_matrix(y[:, i], yhat[:, i]).flatten() conf_mat = mmu.confusion_matrices(y, yhat) assert np.array_equal(conf_mat, sk_conf_mats), ( f"test failed for dtypes: {y_dtype}, {yhat_dtype}" ) def test_confusion_matrix_scores_runs(): for y_dtype, proba_dtype in itertools.product(Y_DTYPES, PROBA_DTYPES): scores, _, y = generate_test_labels( N=4000, y_dtype=y_dtype, proba_dtype=proba_dtype ) scores = scores.reshape((1000, 4), order='F') y = y.reshape((1000, 4), order='F') sk_conf_mats = np.empty((4, 4), dtype=np.int64) for i in range(4): yhat = greater_equal_tol(scores[:, i], 0.5, return_dtype=np.bool_) sk_conf_mats[i, :] = skm.confusion_matrix(y[:, i], yhat).flatten() conf_mat = mmu.confusion_matrices(y, scores=scores, threshold=0.5) assert np.array_equal(conf_mat, sk_conf_mats), ( f"test failed for dtypes: {y_dtype}, {proba_dtype}" ) def test_confusion_matrices_thresholds(): thresholds = np.random.uniform(0, 1, 10) for y_dtype, proba_dtype in itertools.product(Y_DTYPES, PROBA_DTYPES): scores, _, y = generate_test_labels( N=1000, y_dtype=y_dtype, proba_dtype=proba_dtype ) sk_conf_mats = np.empty((10, 4), dtype=np.int64) for i in range(10): yhat = greater_equal_tol(scores, thresholds[i], return_dtype=np.bool_) sk_conf_mats[i, :] = skm.confusion_matrix(y, yhat).flatten() conf_mat = mmu.confusion_matrices_thresholds(y, scores=scores, thresholds=thresholds) assert np.array_equal(conf_mat, sk_conf_mats), ( f"test failed for dtypes: {y_dtype}, {proba_dtype}" )

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9d0685786c6c4a2375f5f9776701d5064dd6b86e

49

py

Python

10-Embedding/py_embedding.py

arttet/boost-python-examples

3b4ac42adadf8a721be982974b53d86e2e1e3373

[ "MIT" ]

null

10-Embedding/py_embedding.py

arttet/boost-python-examples

3b4ac42adadf8a721be982974b53d86e2e1e3373

[ "MIT" ]

null

10-Embedding/py_embedding.py

arttet/boost-python-examples

3b4ac42adadf8a721be982974b53d86e2e1e3373

[ "MIT" ]

null

print("Object was {}".format(precreated_object))

24.5

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0.833333

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49

0.782609

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null

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null

0

1

0

1

0

5

9d1b64437ea2be8e80b022d59266608b671650d3

22

py

Python

flaskblog/users/__init__.py

Va1a/flask-cms

6f32767c10f470e51ed78f8a199a43daf5b7e2ec

[ "Apache-2.0" ]

null

flaskblog/users/__init__.py

Va1a/flask-cms

6f32767c10f470e51ed78f8a199a43daf5b7e2ec

[ "Apache-2.0" ]

null

flaskblog/users/__init__.py

Va1a/flask-cms

6f32767c10f470e51ed78f8a199a43daf5b7e2ec

[ "Apache-2.0" ]

null

#this file is required

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1

0

null

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0

5

19eb59459fe344bfba4d75614eaed559b7b355dc

287

py

Python

lib/datasets/__init__.py

Wastoon/TSAL

0f880c600f1a2e128de9c9fdfb94ae0776948cbe

[ "Apache-2.0" ]

3

2021-01-26T07:36:08.000Z

2021-04-25T13:47:12.000Z

lib/datasets/__init__.py

Wastoon/TSAL

0f880c600f1a2e128de9c9fdfb94ae0776948cbe

[ "Apache-2.0" ]

null

lib/datasets/__init__.py

Wastoon/TSAL

0f880c600f1a2e128de9c9fdfb94ae0776948cbe

[ "Apache-2.0" ]

null

from .GeneralDataset import GeneralDataset from .VideoDataset import VideoDataset from .dataset_utils import pil_loader from .point_meta import Point_Meta from .dataset_utils import PTSconvert2str from .dataset_utils import PTSconvert2box from .dataset_utils import merge_lists_from_file

41

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287

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null

0

1

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1

0

5

c20c64d24fce511f5782cc2868abed1e66288f1d

121

py

Python

neverbounce/__init__.py

martinkosir/neverbounce-python

8d8b3f381dbff2a753a8770fac0d2bfab80d5bec

[ "MIT" ]

7

2016-09-25T20:26:54.000Z

2021-02-26T21:25:44.000Z

neverbounce/__init__.py

martinkosir/neverbounce-python

8d8b3f381dbff2a753a8770fac0d2bfab80d5bec

[ "MIT" ]

3

2016-10-25T03:47:45.000Z

2017-08-28T12:39:27.000Z

neverbounce/__init__.py

martinkosir/neverbounce-python

8d8b3f381dbff2a753a8770fac0d2bfab80d5bec

[ "MIT" ]

1

2016-09-25T20:27:25.000Z

from neverbounce.client import NeverBounce from neverbounce.exceptions import NeverBounceAPIError __version__ = '0.2.0'

24.2

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py

Python

rudder/__init__.py

MSAdministrator/conductor

62ed869cd06d2a1735317f39396bb3bac68fa036

[ "MIT" ]

1

2020-11-21T17:53:21.000Z

rudder/__init__.py

MSAdministrator/conductor

62ed869cd06d2a1735317f39396bb3bac68fa036

[ "MIT" ]

1

2020-09-04T17:23:51.000Z

rudder/__init__.py

MSAdministrator/conductor

62ed869cd06d2a1735317f39396bb3bac68fa036

[ "MIT" ]

null

from .utils.version import __version__ from .rudder import Rudder from .runner import Host, Runner

32.666667

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df9c03a4aadd755b5d95851a4843cab5f69abf1c

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py

Python

compiler/tests/test_python_runner.py

okcompute/vim-python-tests-runner

8ea2884e77935e3c1f01a4066a4db325839a7faf

[ "MIT" ]

1

2015-09-17T07:10:55.000Z

compiler/tests/test_python_runner.py

okcompute/vim-runners

8ea2884e77935e3c1f01a4066a4db325839a7faf

[ "MIT" ]

1

2016-10-17T11:29:26.000Z

2016-10-18T10:02:06.000Z

compiler/tests/test_python_runner.py

okcompute/vim-python-tests-runner

8ea2884e77935e3c1f01a4066a4db325839a7faf

[ "MIT" ]

1

2015-09-16T15:17:37.000Z

#!/usr/bin/env python # encoding: utf-8 import unittest from runners.python import ( match_file_location, match_code_pattern, parse_traceback, ) class TestPythonRunner(unittest.TestCase): """Test case for runner.python.py module""" def test_match_file_location(self): input = " File \"/Users/okcompute/Developer/venv/lib/python3.4/site-packages//config.py\", line 513, in getconftestmodules" expected = { "file_path": "/Users/okcompute/Developer/venv/lib/python3.4/site-packages//config.py", "line_no": "513", } result = match_file_location(input) self.assertEqual(expected, result) def test_match_code_pattern(self): input = " mod = conftestpath.pyimport()" result = match_code_pattern(input) self.assertTrue(result) def test_parse_traceback(self): input = [ "ERROR:tornado.application:Uncaught exception POST /api/signup (127.0.0.1)", "HTTPServerRequest(protocol='http', host='localhost:55219', method='POST', uri='/api/signup', version='HTTP/1.1', remote_ip='127.0.0.1', headers={'Connection': 'close', 'Content-Type': 'application/json charset=utf-8', 'Host': 'localhost:55219', 'Content-Length': '66', 'Accept-Encoding': 'gzip'})", "Traceback (most recent call last):", " File \"/Git/Backend/venv/lib/python3.4/site-packages/tornado/web.py\", line 1332, in _execute", " result = method(*self.path_args, **self.path_kwargs)", " File \"/Git/Backend/application/rest/__init__.py\", line 135, in wrapper", " return method(self, *args, **kwargs)", " File \"/Git/Backend/application/rest/__init__.py\", line 105, in request_wrapper", " response = request(self, arguments, *args, **kwargs)", " File \"/Git/Backend/application/rest/authentication.py\", line 105, in post", " body['email']", " File \"/Git/Backend/application/dal.py\", line 257, in create_user", " return self._convert_to_user(user)", " File \"/Git/Backend/application/dal.py\", line 236, in _convert_to_user", " blarg", "NameError: name 'blarg' is not defined", "ERROR:tornado.access:500 POST /api/signup (127.0.0.1) 4.70ms", ] expected = [ "ERROR:tornado.application:Uncaught exception POST /api/signup (127.0.0.1)", "HTTPServerRequest(protocol='http', host='localhost:55219', method='POST', uri='/api/signup', version='HTTP/1.1', remote_ip='127.0.0.1', headers={'Connection': 'close', 'Content-Type': 'application/json charset=utf-8', 'Host': 'localhost:55219', 'Content-Length': '66', 'Accept-Encoding': 'gzip'})", "Traceback (most recent call last):", " File \"/Git/Backend/venv/lib/python3.4/site-packages/tornado/web.py\", line 1332, in _execute", " result = method(*self.path_args, **self.path_kwargs)", " File \"/Git/Backend/application/rest/__init__.py\", line 135, in wrapper", " return method(self, *args, **kwargs)", " File \"/Git/Backend/application/rest/__init__.py\", line 105, in request_wrapper", " response = request(self, arguments, *args, **kwargs)", " File \"/Git/Backend/application/rest/authentication.py\", line 105, in post", " body['email']", " File \"/Git/Backend/application/dal.py\", line 257, in create_user", " return self._convert_to_user(user)", " File \"/Git/Backend/application/dal.py\", line 236, in _convert_to_user", " blarg", "NameError: name 'blarg' is not defined", "/Git/Backend/application/dal.py:236 <NameError: name 'blarg' is not defined>", ] result = parse_traceback(input) self.assertEqual(expected, result)

54.888889

311

0.608553

467

3,952

5.021413

0.267666

0.035821

0.071642

0.10661

0.798721

0.758635

0.745842

0.73774

0

0.040171

0.231528

3,952

71

312

55.661972

0.731972

0.018725

0

0.566667

0

0.116667

0.520021

0.134849

0

0.05

1

0.05

false

0

0.05

0

0.116667

0

null

0

1

0

null

0

5

dfd9e9a096e72cb04c25499dbc0b782d4b76f092

22

py

Python

12_module_basic/11_package/pack1/pack2/pack3/pack3_mod.py

hemuke/python

bc99f2b5aee997083ae31f59a2b33db48c8255f3

[ "Apache-2.0" ]

null

12_module_basic/11_package/pack1/pack2/pack3/pack3_mod.py

hemuke/python

bc99f2b5aee997083ae31f59a2b33db48c8255f3

[ "Apache-2.0" ]

null

12_module_basic/11_package/pack1/pack2/pack3/pack3_mod.py

hemuke/python

bc99f2b5aee997083ae31f59a2b33db48c8255f3

[ "Apache-2.0" ]

null

print('pack3_mod.py')

11

21

0.727273

4

22

3.75

1

0

0.047619

0.045455

22

1

22

0.666667

0

0.545455

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dff0951d6aaa7d24e9d87394f66f6203330b6482

292

py

Python

src/hks_pylib/logger/__init__.py

huykingsofm/hks_pylib

d73a896a395df301ef8082a358ec8e23f7bc708a

[ "MIT" ]

2

2021-04-06T07:01:27.000Z

2021-07-30T11:08:59.000Z

src/hks_pylib/logger/__init__.py

huykingsofm/hks_pylib

d73a896a395df301ef8082a358ec8e23f7bc708a

[ "MIT" ]

null

src/hks_pylib/logger/__init__.py

huykingsofm/hks_pylib

d73a896a395df301ef8082a358ec8e23f7bc708a

[ "MIT" ]

null

from hks_pylib.logger.logger import BaseLogger, StandardLogger, Display, InvisibleLogger from hks_pylib.logger.logger_generator import StandardLoggerGenerator, LoggerGenerator, InvisibleLoggerGenerator from hks_pylib.logger.config import LogConfig, console_output, Output, FileOutput, acprint

97.333333

112

0.880137

32

292

7.875

0.59375

0.083333

0.142857

0.214286

0.190476

0

0.068493

292

3

113

97.333333

0.926471

0

1

0

true

0

1

0

1

0.333333

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

5f21d752508bf34faa748dab5d428f3e090af023

23,278

py

Python

privex/helpers/net/common.py

Privex/python-helpers

1c976ce5b0e2c5241ea0bdf330bd6701b5e31153

[ "X11" ]

12

2019-06-18T11:17:41.000Z

2021-09-13T23:00:21.000Z

privex/helpers/net/common.py

Privex/python-helpers

1c976ce5b0e2c5241ea0bdf330bd6701b5e31153

[ "X11" ]

1

2019-10-13T07:34:44.000Z

privex/helpers/net/common.py

Privex/python-helpers

1c976ce5b0e2c5241ea0bdf330bd6701b5e31153

[ "X11" ]

4

2019-10-10T10:15:09.000Z

2021-05-16T01:55:48.000Z

""" General uncategorised functions/classes for network related helper code **Copyright**:: +===================================================+ | © 2019 Privex Inc. | | https://www.privex.io | +===================================================+ | | | Originally Developed by Privex Inc. | | License: X11 / MIT | | | | Core Developer(s): | | | | (+) Chris (@someguy123) [Privex] | | (+) Kale (@kryogenic) [Privex] | | | +===================================================+ Copyright 2019 Privex Inc. ( https://www.privex.io ) """ import asyncio import logging import random import socket from datetime import datetime from math import ceil from typing import List, Tuple from privex.helpers.decorators import r_cache, r_cache_async from privex.helpers import settings from privex.helpers.common import byteify, empty, empty_if, is_true from privex.helpers.asyncx import run_coro_thread_async from privex.helpers.net import base as netbase from privex.helpers.net.dns import resolve_ip, resolve_ip_async from privex.helpers.net.socket import AsyncSocketWrapper from privex.helpers.net.util import get_ssl_context, ip_is_v6 from privex.helpers.types import AUTO, AnyNum, IP_OR_STR log = logging.getLogger(__name__) __all__ = [ 'check_host', 'check_host_async', 'check_host_http', 'check_host_http_async', 'test_hosts_async', 'test_hosts', 'check_v4', 'check_v6', 'check_v4_async', 'check_v6_async' ] def check_host(host: IP_OR_STR, port: AnyNum, version='any', throw=False, **kwargs) -> bool: """ Test if the service on port ``port`` for host ``host`` is working. AsyncIO version: :func:`.check_host_async` Basic usage (services which send the client data immediately after connecting):: >>> check_host('hiveseed-se.privex.io', 2001) True >>> check_host('hiveseed-se.privex.io', 9991) False For some services, such as HTTP - it's necessary to transmit some data to the host before it will send a response. Using the ``send`` kwarg, you can transmit an arbitrary string/bytes upon connection. Sending data to ``host`` after connecting:: >>> check_host('files.privex.io', 80, send=b"GET / HTTP/1.1\\n\\n") True :param str|IPv4Address|IPv6Address host: Hostname or IP to test :param int|str port: Port number on ``host`` to connect to :param str|int version: When connecting to a hostname, this can be set to ``'v4'``, ``'v6'`` or similar to ensure the connection is via that IP version :param bool throw: (default: ``False``) When ``True``, will raise exceptions instead of returning ``False`` :param kwargs: Additional configuration options (see below) :keyword int receive: (default: ``100``) Amount of bytes to attempt to receive from the server (``0`` to disable) :keyword bytes|str send: If ``send`` is specified, the data in ``send`` will be transmitted to the server before receiving. :keyword int stype: Socket type, e.g. :attr:`socket.SOCK_STREAM` :keyword float|int timeout: Socket timeout. If not passed, uses the default from :func:`socket.getdefaulttimeout`. If the global default timeout is ``None``, then falls back to ``5.0`` :raises socket.timeout: When ``throw=True`` and a timeout occurs. :raises socket.gaierror: When ``throw=True`` and various errors occur :raises ConnectionRefusedError: When ``throw=True`` and the connection was refused :raises ConnectionResetError: When ``throw=True`` and the connection was reset :return bool success: ``True`` if successfully connected + sent/received data. Otherwise ``False``. """ receive, stype = int(kwargs.get('receive', 100)), kwargs.get('stype', socket.SOCK_STREAM) timeout, send, use_ssl = kwargs.get('timeout', 'n/a'), kwargs.get('send'), kwargs.get('ssl', kwargs.get('use_ssl')) ssl_params = kwargs.get('ssl_params', dict(verify_cert=False, check_hostname=False)) if timeout == 'n/a': t = socket.getdefaulttimeout() timeout = 10.0 if not t else t try: s_ver = socket.AF_INET ip = resolve_ip(host, version) if ip_is_v6(ip): s_ver = socket.AF_INET6 if port == 443 and use_ssl is None: log.warning("check_host: automatically setting use_ssl=True as port is 443 and use_ssl was not specified.") use_ssl = True with socket.socket(s_ver, stype) as s: orig_sock = s if timeout: s.settimeout(float(timeout)) if use_ssl: ctx = get_ssl_context(**ssl_params) s = ctx.wrap_socket( s, server_hostname=kwargs.get('server_hostname'), session=kwargs.get('session'), do_handshake_on_connect=kwargs.get('do_handshake_on_connect', True), ) s.connect((ip, int(port))) if not empty(send): s.sendall(byteify(send)) if receive > 0: s.recv(int(receive)) if use_ssl: s.close() return True except (socket.timeout, TimeoutError, ConnectionRefusedError, ConnectionResetError, socket.gaierror) as e: if throw: raise e return False async def check_host_async(host: IP_OR_STR, port: AnyNum, version='any', throw=False, **kwargs) -> bool: """ AsyncIO version of :func:`.check_host`. Test if the service on port ``port`` for host ``host`` is working. Basic usage (services which send the client data immediately after connecting):: >>> await check_host_async('hiveseed-se.privex.io', 2001) True >>> await check_host_async('hiveseed-se.privex.io', 9991) False For some services, such as HTTP - it's necessary to transmit some data to the host before it will send a response. Using the ``send`` kwarg, you can transmit an arbitrary string/bytes upon connection. Sending data to ``host`` after connecting:: >>> await check_host_async('files.privex.io', 80, send=b"GET / HTTP/1.1\\n\\n") True :param str|IPv4Address|IPv6Address host: Hostname or IP to test :param int|str port: Port number on ``host`` to connect to :param str|int version: When connecting to a hostname, this can be set to ``'v4'``, ``'v6'`` or similar to ensure the connection is via that IP version :param bool throw: (default: ``False``) When ``True``, will raise exceptions instead of returning ``False`` :param kwargs: Additional configuration options (see below) :keyword int receive: (default: ``100``) Amount of bytes to attempt to receive from the server (``0`` to disable) :keyword bytes|str send: If ``send`` is specified, the data in ``send`` will be transmitted to the server before receiving. :keyword int stype: Socket type, e.g. :attr:`socket.SOCK_STREAM` :keyword float|int timeout: Socket timeout. If not passed, uses the default from :func:`socket.getdefaulttimeout`. If the global default timeout is ``None``, then falls back to ``5.0`` :raises socket.timeout: When ``throw=True`` and a timeout occurs. :raises socket.gaierror: When ``throw=True`` and various errors occur :raises ConnectionRefusedError: When ``throw=True`` and the connection was refused :raises ConnectionResetError: When ``throw=True`` and the connection was reset :return bool success: ``True`` if successfully connected + sent/received data. Otherwise ``False``. """ receive, stype = int(kwargs.get('receive', 16)), kwargs.get('stype', socket.SOCK_STREAM) timeout, send = kwargs.get('timeout', 'n/a'), kwargs.get('send') http_test, use_ssl = kwargs.get('http_test', False), kwargs.get('use_ssl', False) if timeout == 'n/a': t = socket.getdefaulttimeout() timeout = settings.DEFAULT_SOCKET_TIMEOUT if not t else t # loop = asyncio.get_event_loop() s_ver = socket.AF_INET ip = await resolve_ip_async(host, version) if ip_is_v6(ip): s_ver = socket.AF_INET6 try: aw = AsyncSocketWrapper(host, int(port), family=s_ver, use_ssl=use_ssl, timeout=timeout) await aw.connect() if http_test: log.info("Sending HTTP request to %s", host) log.info("Response from %s : %s", host, await aw.http_request()) elif not empty(send) and receive > 0: log.info("Sending query data '%s' and trying to receive data from %s", send, host) log.info("Response from %s : %s", host, await aw.query(send, receive, read_timeout=kwargs.get('read_timeout', AUTO))) elif not empty(send): log.info("Sending query data '%s' to %s", send, host) await aw.sendall(send) else: log.info("Receiving data from %s", host) log.info("Response from %s : %s", host, await aw.read_eof( receive, strip=False, read_timeout=kwargs.get('read_timeout', AUTO), )) # with socket.socket(s_ver, stype) as s: # if timeout: s.settimeout(float(timeout)) # await loop.sock_connect(s, (ip, int(port))) # if not empty(send): # await loop.sock_sendall(s, byteify(send)) # if receive > 0: # await loop.sock_recv(s, int(receive)) return True except (socket.timeout, TimeoutError, ConnectionRefusedError, ConnectionResetError, socket.gaierror) as e: if throw: raise e return False def check_host_http(host: IP_OR_STR, port: AnyNum = 80, version='any', throw=False, **kwargs) -> bool: return netbase.check_host(host, port, version, throw=throw, http_test=True, **kwargs) async def check_host_http_async( host: IP_OR_STR, port: AnyNum = 80, version='any', throw=False, send=b"GET / HTTP/1.1\\n\\n", **kwargs ) -> bool: # return await check_host_async(host, port, version, throw=throw, send=send, **kwargs) return await netbase.check_host_async(host, port, version, throw=throw, http_test=True, **kwargs) async def test_hosts_async(hosts: List[str] = None, ipver: str = 'any', timeout: AnyNum = None, **kwargs) -> bool: randomise = is_true(kwargs.get('randomise', True)) max_hosts = kwargs.get('max_hosts', settings.NET_CHECK_HOST_COUNT_TRY) if max_hosts is not None: max_hosts = int(max_hosts) timeout = empty_if(timeout, empty_if(socket.getdefaulttimeout(), 4, zero=True), zero=True) v4h, v6h = list(settings.V4_TEST_HOSTS), list(settings.V6_TEST_HOSTS) if randomise: random.shuffle(v4h) if randomise: random.shuffle(v6h) if empty(hosts, True, True): # if empty(ipver, True, True) or ipver in ['any', 'all', 'both', 10, '10', '46', 46]: # settings.V4_CHECKED_AT if isinstance(ipver, str): ipver = ipver.lower() if ipver in [4, '4', 'v4', 'ipv4']: hosts = v4h ipver = 4 elif ipver in [6, '6', 'v6', 'ipv6']: hosts = v6h ipver = 6 else: ipver = 'any' if max_hosts: hosts = v4h[:int(ceil(max_hosts / 2))] + v6h[:int(ceil(max_hosts / 2))] else: hosts = v4h + v6h if max_hosts: hosts = hosts[:max_hosts] # st4_empty = any([empty(settings.HAS_WORKING_V4, True, True), empty(settings.V4_CHECKED_AT, True, True)]) # st6_empty = any([empty(settings.HAS_WORKING_V6, True, True), empty(settings.V6_CHECKED_AT, True, True)]) # if ipver == 6 and not st6_empty and settings.V6_CHECKED_AT > datetime.utcnow(): # # if settings.V6_CHECKED_AT > datetime.utcnow() # log.debug("Returning cached IPv6 status: working = %s", settings.HAS_WORKING_V6) # return settings.HAS_WORKING_V6 # if ipver == 4 and not st4_empty and settings.V4_CHECKED_AT > datetime.utcnow(): # # if settings.V6_CHECKED_AT > datetime.utcnow() # log.debug("Returning cached IPv4 status: working = %s", settings.HAS_WORKING_V4) # return settings.HAS_WORKING_V4 # # if ipver == 'any' and any([not st4_empty, not st6_empty]) and settings.V4_CHECKED_AT > datetime.utcnow(): # # if settings.V6_CHECKED_AT > datetime.utcnow() # if st4_empty: # log.debug("test_hosts being requested for 'any' ip ver. IPv6 status cached, but not IPv4 status. Checking IPv4 status...") # await check_v4_async() # if st6_empty: # log.debug("test_hosts being requested for 'any' ip ver. IPv4 status cached, but not IPv6 status. Checking IPv6 status...") # await check_v6_async(hosts) # # if not st4_empty and not st6_empty: # log.debug( # "Returning status %s based on: Working IPv4 = %s || Working IPv6 = %s", # settings.HAS_WORKING_V4 or settings.HAS_WORKING_V6, settings.HAS_WORKING_V4, settings.HAS_WORKING_V6 # ) # return settings.HAS_WORKING_V4 or settings.HAS_WORKING_V6 # max_hosts = int(kwargs.get('max_hosts', settings.NET_CHECK_HOST_COUNT_TRY)) min_hosts_pos = int(kwargs.get('required_positive', settings.NET_CHECK_HOST_COUNT)) # hosts = empty_if(hosts, settings.V4_TEST_HOSTS, itr=True) hosts = [x for x in hosts] if randomise: random.shuffle(hosts) if len(hosts) > max_hosts: hosts = hosts[:max_hosts] # port = empty_if(port, 80, zero=True) total_hosts = len(hosts) total_working, total_broken = 0, 0 working_list, broken_list = [], [] log.debug("Testing %s hosts with IP version '%s' - timeout: %s", total_hosts, ipver, timeout) host_checks = [] host_checks_hosts = [] for h in hosts: # host_checks.append( # asyncio.create_task(_test_host_async(h, ipver=ipver, timeout=timeout)) # ) host_checks.append( asyncio.create_task( run_coro_thread_async(_test_host_async, h, ipver=ipver, timeout=timeout) ) ) host_checks_hosts.append(h) host_checks_res = await asyncio.gather(*host_checks, return_exceptions=True) for i, _res in enumerate(host_checks_res): h = host_checks_hosts[i] if isinstance(_res, Exception): log.warning("Exception while checking host %s", h) total_broken += 1 continue res, h, port = _res if res: total_working += 1 working_list.append(f"{h}:{port}") log.debug("check_host for %s (port %s) came back True (WORKING). incremented working hosts: %s", h, port, total_working) else: total_broken += 1 broken_list.append(f"{h}:{port}") log.debug("check_host for %s (port %s) came back False (! BROKEN !). incremented broken hosts: %s", h, port, total_broken) # port = 80 # for h in hosts: # try: # h, port, res = await _test_host_async(h, ipver, timeout) # if res: # total_working += 1 # log.debug("check_host for %s came back true. incremented working hosts: %s", h, total_working) # else: # total_broken += 1 # log.debug("check_host for %s came back false. incremented broken hosts: %s", h, total_broken) # # except Exception as e: # log.warning("Exception while checking host %s port %s", h, port) working = total_working >= min_hosts_pos log.info("test_hosts - proto: %s - protocol working? %s || total hosts: %s || working hosts: %s || broken hosts: %s", ipver, working, total_hosts, total_working, total_broken) log.debug("working hosts: %s", working_list) log.debug("broken hosts: %s", broken_list) return working async def _test_host_async(host, ipver: str = 'any', timeout: AnyNum = None) -> Tuple[bool, str, int]: nh = host.split(':') if len(nh) > 1: port = int(nh[-1]) host = ':'.join(nh[:-1]) else: host = ':'.join(nh) log.warning("Host is missing port: %s - falling back to port 80") port = 80 log.debug("Checking host %s via port %s + IP version '%s'", host, port, ipver) if port == 80: res = await check_host_http_async(host, port, ipver, throw=False, timeout=timeout) elif port == 53: res = await netbase.check_host_async(host, port, ipver, throw=False, timeout=timeout, send="hello\nworld\n") else: res = await netbase.check_host_async(host, port, ipver, throw=False, timeout=timeout) return res, host, port def test_hosts(hosts: List[str] = None, ipver: str = 'any', timeout: AnyNum = None, **kwargs) -> bool: randomise = is_true(kwargs.get('randomise', True)) max_hosts = kwargs.get('max_hosts', settings.NET_CHECK_HOST_COUNT_TRY) if max_hosts is not None: max_hosts = int(max_hosts) timeout = empty_if(timeout, empty_if(socket.getdefaulttimeout(), 4, zero=True), zero=True) v4h, v6h = list(settings.V4_TEST_HOSTS), list(settings.V6_TEST_HOSTS) if randomise: random.shuffle(v4h) if randomise: random.shuffle(v6h) if empty(hosts, True, True): # if empty(ipver, True, True) or ipver in ['any', 'all', 'both', 10, '10', '46', 46]: # settings.V4_CHECKED_AT if isinstance(ipver, str): ipver = ipver.lower() if ipver in [4, '4', 'v4', 'ipv4']: hosts = v4h ipver = 4 elif ipver in [6, '6', 'v6', 'ipv6']: hosts = v6h ipver = 6 else: ipver = 'any' if max_hosts: hosts = v4h[:int(ceil(max_hosts / 2))] + v6h[:int(ceil(max_hosts / 2))] else: hosts = v4h + v6h if max_hosts: hosts = hosts[:max_hosts] # st4_empty = any([empty(settings.HAS_WORKING_V4, True, True), empty(settings.V4_CHECKED_AT, True, True)]) # st6_empty = any([empty(settings.HAS_WORKING_V6, True, True), empty(settings.V6_CHECKED_AT, True, True)]) # if ipver == 6 and not st6_empty and settings.V6_CHECKED_AT > datetime.utcnow(): # # if settings.V6_CHECKED_AT > datetime.utcnow() # log.debug("Returning cached IPv6 status: working = %s", settings.HAS_WORKING_V6) # return settings.HAS_WORKING_V6 # if ipver == 4 and not st4_empty and settings.V4_CHECKED_AT > datetime.utcnow(): # # if settings.V6_CHECKED_AT > datetime.utcnow() # log.debug("Returning cached IPv4 status: working = %s", settings.HAS_WORKING_V4) # return settings.HAS_WORKING_V4 # if ipver == 'any' and any([not st4_empty, not st6_empty]) and settings.V4_CHECKED_AT > datetime.utcnow(): # # if settings.V6_CHECKED_AT > datetime.utcnow() # if st4_empty: # log.debug("test_hosts being requested for 'any' ip ver. IPv6 status cached, but not IPv4 status. Checking IPv4 status...") # check_v4() # if st6_empty: # log.debug("test_hosts being requested for 'any' ip ver. IPv4 status cached, but not IPv6 status. Checking IPv6 status...") # check_v6() # # if not st4_empty and not st6_empty: # log.debug( # "Returning status %s based on: Working IPv4 = %s || Working IPv6 = %s", # settings.HAS_WORKING_V4 or settings.HAS_WORKING_V6, settings.HAS_WORKING_V4, settings.HAS_WORKING_V6 # ) # return settings.HAS_WORKING_V4 or settings.HAS_WORKING_V6 # max_hosts = int(kwargs.get('max_hosts', settings.NET_CHECK_HOST_COUNT_TRY)) min_hosts_pos = int(kwargs.get('required_positive', settings.NET_CHECK_HOST_COUNT)) # hosts = empty_if(hosts, settings.V4_TEST_HOSTS, itr=True) hosts = [x for x in hosts] if randomise: random.shuffle(hosts) if len(hosts) > max_hosts: hosts = hosts[:max_hosts] total_hosts = len(hosts) total_working, total_broken = 0, 0 log.debug("Testing %s hosts with IP version '%s' - timeout: %s", total_hosts, ipver, timeout) port = 80 for h in hosts: try: nh = h.split(':') if len(nh) > 1: port = int(nh[-1]) h = ':'.join(nh[:-1]) else: h = ':'.join(nh) log.warning("Host is missing port: %s - falling back to port 80") port = 80 log.debug("Checking host %s via port %s + IP version '%s'", h, port, ipver) if port == 80: res = check_host_http(h, port, ipver, throw=False, timeout=timeout) else: res = check_host(h, port, ipver, throw=False, timeout=timeout) if res: total_working += 1 log.debug("check_host for %s came back true. incremented working hosts: %s", h, total_working) else: total_broken += 1 log.debug("check_host for %s came back false. incremented broken hosts: %s", h, total_broken) except Exception as e: log.warning("Exception while checking host %s port %s", h, port) working = total_working >= min_hosts_pos log.info("test_hosts - proto: %s - protocol working? %s || total hosts: %s || working hosts: %s || broken hosts: %s", ipver, working, total_hosts, total_working, total_broken) return working @r_cache("pvxhelpers:check_v4", settings.NET_CHECK_TIMEOUT) def check_v4(hosts: List[str] = None, *args, **kwargs) -> bool: """Check and cache whether IPv4 is functional by testing a handful of IPv4 hosts""" return test_hosts(hosts, ipver='v4', *args, **kwargs) @r_cache("pvxhelpers:check_v6", settings.NET_CHECK_TIMEOUT) def check_v6(hosts: List[str] = None, *args, **kwargs) -> bool: """Check and cache whether IPv6 is functional by testing a handful of IPv6 hosts""" return test_hosts(hosts, ipver='v6', *args, **kwargs) @r_cache_async("pvxhelpers:check_v4", settings.NET_CHECK_TIMEOUT) async def check_v4_async(hosts: List[str] = None, *args, **kwargs) -> bool: """(Async ver of :func:`.check_v4`) Check and cache whether IPv4 is functional by testing a handful of IPv4 hosts""" return await test_hosts_async(hosts, ipver='v4', *args, **kwargs) @r_cache_async("pvxhelpers:check_v6", settings.NET_CHECK_TIMEOUT) async def check_v6_async(hosts: List[str] = None, *args, **kwargs) -> bool: """(Async ver of :func:`.check_v6`) Check and cache whether IPv6 is functional by testing a handful of IPv6 hosts""" return await test_hosts_async(hosts, ipver='v6', *args, **kwargs)

45.287938

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0.611693

3,094

23,278

4.452812

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0.031357

0.01742

0.81128

0.792553

0.76635

0.718662

0.687813

0.677651

0

0.0179

0.265616

23,278

513

137

45.376218

0.78795

0.334522

0

0.473469

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0

1

0.020408

false

0

0.065306

0.004082

0.138776

0

null

0

1

0

1

0

null

0

5

a09765f9db2233e01b46468131b617e690fa1c99

504

py

Python

aspy/exceptions.py

raidery/aspy

d8b4e9514a7a76482734a50e7df3e9308b2db4c1

[ "MIT" ]

null

aspy/exceptions.py

raidery/aspy

d8b4e9514a7a76482734a50e7df3e9308b2db4c1

[ "MIT" ]

null

aspy/exceptions.py

raidery/aspy

d8b4e9514a7a76482734a50e7df3e9308b2db4c1

[ "MIT" ]

null

__all__ = ["PreCheckException", "PostCheckException"] class PreCheckException(Exception): def __init__(self, messages): ''' Constructor ''' self.message = messages def __str__(self): return repr(self.message) class PostCheckException(Exception): def __init__(self, messages): ''' Constructor ''' self.message = messages def __str__(self): return repr(self.message)

20.16

54

0.55754

39

504

6.692308

0.358974

0.168582

0.122605

0.153257

0.681992

0

0.343254

504

24

55

21

0.78852

0.045635

0

0.727273

0

0.085575

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1

0.363636

false

0

0.181818

0.727273

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0

1

0

1

0

null

0

1

0

1

0

5

a0c07876373ca2a3ff2fc52bd2086808ebafa04c

76

py

Python

run_client.py

ayush9818/Message-Queue-Prototype

2bfe22e4b7dc714cf4230850151dc69a3189d38b

[ "MIT" ]

null

run_client.py

ayush9818/Message-Queue-Prototype

2bfe22e4b7dc714cf4230850151dc69a3189d38b

[ "MIT" ]

null

run_client.py

ayush9818/Message-Queue-Prototype

2bfe22e4b7dc714cf4230850151dc69a3189d38b

[ "MIT" ]

null

from imqclient.client import Client new_client = Client() new_client.run()

15.2

35

0.789474

11

76

5.272727

0.545455

0.310345

0.517241

0

0.118421

76

4

36

19

0.865672

0

1

0

false

0

0.333333

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0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

2602d9f873d83b636eaaa1837c9bcdbe476852a0

109

py

Python

modules/2.79/bpy/types/GroupObjects.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/GroupObjects.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/GroupObjects.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

class GroupObjects: def link(self, object): pass def unlink(self, object): pass

9.909091

29

0.559633

12

109

5.083333

0.666667

0.327869

0.459016

0

0.357798

109

10

30

10.9

0.871429

0

0.4

0

1

0.4

false

0.4

0

0.6

0

1

0

null

1

0

null

0

1

0

1

0

5

260919103b3b4ea9a8e3b14908ec56129f27d8fa

178

py

Python

trade_remedies_api/content/services/urls.py

uktrade/trade-remedies-api

fbe2d142ef099c7244788a0f72dd1003eaa7edce

[ "MIT" ]

1

2020-08-13T10:37:15.000Z

trade_remedies_api/content/services/urls.py

uktrade/trade-remedies-api

fbe2d142ef099c7244788a0f72dd1003eaa7edce

[ "MIT" ]

4

2020-09-10T13:41:52.000Z

2020-12-16T09:00:21.000Z

trade_remedies_api/content/services/urls.py

uktrade/trade-remedies-api

fbe2d142ef099c7244788a0f72dd1003eaa7edce

[ "MIT" ]

null

from django.urls import path from .api import ContentAPIView urlpatterns = [ path("", ContentAPIView.as_view()), path("<uuid:content_id>/", ContentAPIView.as_view()), ]

22.25

57

0.707865

21

178

5.857143

0.619048

0.260163

0.325203

0

0.140449

178

7

58

25.428571

0.803922

0

0.101124

0

1

0

false

0

0.333333

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0.333333

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1

0

null

1

0

1

0

null

0

1

0

5

260ded0aa87fa07ae1ab37429a9e5c0b4835936a

605

py

Python

data_structures/queue/list_deque.py

hongta/practice-python

52d5278ea5402ea77054bfa5c4bfdbdf81c9c963

[ "MIT" ]

null

data_structures/queue/list_deque.py

hongta/practice-python

52d5278ea5402ea77054bfa5c4bfdbdf81c9c963

[ "MIT" ]

null

data_structures/queue/list_deque.py

hongta/practice-python

52d5278ea5402ea77054bfa5c4bfdbdf81c9c963

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- class ListDeque(object): def __init__(self): self._items = [] def __iter__(self): for cur in range(len(self._items)): yield self._items[cur] def is_empty(self): return self._items == [] def size(self): return len(self._items) def enqueue_first(self, item): self._items.append(item) def enqueue_last(self, item): self._items.insert(0, item) def dequeue_first(self): return self._items.pop() def dequeue_last(self): return self._items.pop(0)

18.90625

43

0.58843

79

605

4.227848

0.43038

0.242515

0.107784

0.170659

0.131737

0

0.006865

0.277686

605

31

44

19.516129

0.757437

0.069421

0

1

0.444444

false

0

0.222222

0.722222

0

null

1

0

1

0

null

0

1

0

1

0

5

263fd6bc23f385e9969d123c60ff6bc0e19b81dc

126

py

Python

backend/Experience/admin.py

sourabhmandal/Showcase

8bf6379291bea852fd49e3aeec511a9d64659e44

[ "MIT" ]

null

backend/Experience/admin.py

sourabhmandal/Showcase

8bf6379291bea852fd49e3aeec511a9d64659e44

[ "MIT" ]

null

backend/Experience/admin.py

sourabhmandal/Showcase

8bf6379291bea852fd49e3aeec511a9d64659e44

[ "MIT" ]

null

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

21

32

0.81746

17

126

6.058824

0.647059

0

0.119048

126

5

33

25.2

0.927928

0.206349

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

265f87f933e9202b8841969d90163a5300028054

227

py

Python

src/afterpay/exceptions/server_error.py

nyneava/afterpay-python

ec9f9230ce321a2d9876ac93f222c24ffe7eee1a

[ "MIT" ]

null

src/afterpay/exceptions/server_error.py

nyneava/afterpay-python

ec9f9230ce321a2d9876ac93f222c24ffe7eee1a

[ "MIT" ]

null

src/afterpay/exceptions/server_error.py

nyneava/afterpay-python

ec9f9230ce321a2d9876ac93f222c24ffe7eee1a

[ "MIT" ]

null

from afterpay.exceptions.afterpay_error import AfterpayError class ServerError(AfterpayError): """ A common cause of this response from PUT/POST endpoints is that the request body is missing or empty. """ pass

28.375

105

0.748899

30

227

5.633333

0.866667

0

0.193833

227

7

106

32.428571

0.923497

0.444934

0

1

0

true

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

cd033f29f01b7fdcec1f267266671ae7b9242a91

160

py

Python

blousebrothers/friends/admin.py

sladinji/blousebrothers

461de3ba011c0aaed3f0014136c4497b6890d086

[ "MIT" ]

1

2022-01-27T11:58:10.000Z

blousebrothers/friends/admin.py

sladinji/blousebrothers

461de3ba011c0aaed3f0014136c4497b6890d086

[ "MIT" ]

5

2021-03-19T00:01:54.000Z

2022-03-11T23:46:21.000Z

blousebrothers/friends/admin.py

sladinji/blousebrothers

461de3ba011c0aaed3f0014136c4497b6890d086

[ "MIT" ]

null

from django.contrib import admin from .models import FriendShipRequest, Relationship admin.site.register(FriendShipRequest) admin.site.register(Relationship)

22.857143

51

0.85

18

160

7.555556

0.555556

0.132353

0.25

0

0.08125

160

6

52

26.666667

0.92517

0

1

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true

0

0.5

0

0.5

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null

0

1

0

1

0

null

0

1

0

1

0

5

cd4c5a5e3fe5c14eb661a7e030be889e07f6ec60

30,213

py

Python

nfl/seasonsdata.py

sansbacon/nfl

11605b1a7725cce062ce0d7f15ebcf0a2f91a86e

[ "MIT" ]

2

2019-12-07T18:45:34.000Z

2021-06-13T00:45:44.000Z

nfl/seasonsdata.py

sansbacon/nfl

11605b1a7725cce062ce0d7f15ebcf0a2f91a86e

[ "MIT" ]

4

2017-01-07T20:19:23.000Z

2018-11-01T18:19:50.000Z

nfl/seasonsdata.py

sansbacon/nfl

11605b1a7725cce062ce0d7f15ebcf0a2f91a86e

[ "MIT" ]

null

""" seasonsdata.py """ import datetime SEASONS = { 2000: { 1: {"end": datetime.date(2000, 9, 9), "start": datetime.date(2000, 9, 3)}, 2: {"end": datetime.date(2000, 9, 16), "start": datetime.date(2000, 9, 10)}, 3: {"end": datetime.date(2000, 9, 23), "start": datetime.date(2000, 9, 17)}, 4: {"end": datetime.date(2000, 9, 30), "start": datetime.date(2000, 9, 24)}, 5: {"end": datetime.date(2000, 10, 7), "start": datetime.date(2000, 10, 1)}, 6: {"end": datetime.date(2000, 10, 14), "start": datetime.date(2000, 10, 8)}, 7: {"end": datetime.date(2000, 10, 21), "start": datetime.date(2000, 10, 15)}, 8: {"end": datetime.date(2000, 10, 28), "start": datetime.date(2000, 10, 22)}, 9: {"end": datetime.date(2000, 11, 4), "start": datetime.date(2000, 10, 29)}, 10: {"end": datetime.date(2000, 11, 11), "start": datetime.date(2000, 11, 5)}, 11: {"end": datetime.date(2000, 11, 18), "start": datetime.date(2000, 11, 12)}, 12: {"end": datetime.date(2000, 11, 25), "start": datetime.date(2000, 11, 19)}, 13: {"end": datetime.date(2000, 12, 2), "start": datetime.date(2000, 11, 26)}, 14: {"end": datetime.date(2000, 12, 9), "start": datetime.date(2000, 12, 3)}, 15: {"end": datetime.date(2000, 12, 16), "start": datetime.date(2000, 12, 10)}, 16: {"end": datetime.date(2000, 12, 23), "start": datetime.date(2000, 12, 17)}, 17: {"end": datetime.date(2000, 12, 30), "start": datetime.date(2000, 12, 24)}, }, 2001: { 1: {"end": datetime.date(2001, 9, 15), "start": datetime.date(2001, 9, 9)}, 2: {"end": datetime.date(2001, 9, 22), "start": datetime.date(2001, 9, 16)}, 3: {"end": datetime.date(2001, 9, 29), "start": datetime.date(2001, 9, 23)}, 4: {"end": datetime.date(2001, 10, 6), "start": datetime.date(2001, 9, 30)}, 5: {"end": datetime.date(2001, 10, 13), "start": datetime.date(2001, 10, 7)}, 6: {"end": datetime.date(2001, 10, 20), "start": datetime.date(2001, 10, 14)}, 7: {"end": datetime.date(2001, 10, 27), "start": datetime.date(2001, 10, 21)}, 8: {"end": datetime.date(2001, 11, 3), "start": datetime.date(2001, 10, 28)}, 9: {"end": datetime.date(2001, 11, 10), "start": datetime.date(2001, 11, 4)}, 10: {"end": datetime.date(2001, 11, 17), "start": datetime.date(2001, 11, 11)}, 11: {"end": datetime.date(2001, 11, 24), "start": datetime.date(2001, 11, 18)}, 12: {"end": datetime.date(2001, 12, 1), "start": datetime.date(2001, 11, 25)}, 13: {"end": datetime.date(2001, 12, 8), "start": datetime.date(2001, 12, 2)}, 14: {"end": datetime.date(2001, 12, 15), "start": datetime.date(2001, 12, 9)}, 15: {"end": datetime.date(2001, 12, 22), "start": datetime.date(2001, 12, 16)}, 16: {"end": datetime.date(2001, 12, 29), "start": datetime.date(2001, 12, 23)}, 17: {"end": datetime.date(2002, 1, 5), "start": datetime.date(2001, 12, 30)}, }, 2002: { 1: {"end": datetime.date(2002, 9, 11), "start": datetime.date(2002, 9, 5)}, 2: {"end": datetime.date(2002, 9, 18), "start": datetime.date(2002, 9, 12)}, 3: {"end": datetime.date(2002, 9, 25), "start": datetime.date(2002, 9, 19)}, 4: {"end": 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datetime.date(2018, 10, 4)}, 9: {"start": datetime.date(2018, 11, 5), "end": datetime.date(2018, 11, 11)}, 10: {"start": datetime.date(2018, 11, 12), "end": datetime.date(2018, 11, 18)}, 11: {"start": datetime.date(2018, 11, 19), "end": datetime.date(2018, 11, 25)}, 12: {"start": datetime.date(2018, 11, 26), "end": datetime.date(2018, 12, 2)}, 13: {"start": datetime.date(2018, 12, 3), "end": datetime.date(2018, 12, 9)}, 14: {"start": datetime.date(2018, 12, 10), "end": datetime.date(2018, 12, 16)}, 15: {"start": datetime.date(2018, 12, 17), "end": datetime.date(2018, 12, 23)}, 16: {"start": datetime.date(2018, 12, 24), "end": datetime.date(2018, 12, 30)}, 17: {"start": datetime.date(2018, 12, 31), "end": datetime.date(2019, 1, 6)}, }, 2019: { 1: {"start": datetime.date(2019, 9, 5), "end": datetime.date(2019, 9, 9)}, 2: {"start": datetime.date(2019, 9, 12), "end": datetime.date(2019, 9, 16)}, 3: {"start": datetime.date(2019, 9, 19), "end": datetime.date(2019, 9, 23)}, 4: {"start": datetime.date(2019, 9, 26), "end": datetime.date(2019, 9, 30)}, 5: {"start": datetime.date(2019, 10, 3), "end": datetime.date(2019, 10, 7)}, 6: {"start": datetime.date(2019, 10, 10), "end": datetime.date(2019, 10, 14)}, 7: {"start": datetime.date(2019, 10, 17), "end": datetime.date(2019, 10, 21)}, 8: {"start": datetime.date(2019, 10, 24), "end": datetime.date(2019, 10, 28)}, 9: {"start": datetime.date(2019, 10, 31), "end": datetime.date(2019, 11, 4)}, 10: {"start": datetime.date(2019, 11, 7), "end": datetime.date(2019, 11, 11)}, 11: {"start": datetime.date(2019, 11, 14), "end": datetime.date(2019, 11, 18)}, 12: {"start": datetime.date(2019, 11, 21), "end": datetime.date(2019, 11, 25)}, 13: {"start": datetime.date(2019, 11, 28), "end": datetime.date(2019, 12, 2)}, 14: {"start": datetime.date(2019, 12, 3), "end": datetime.date(2019, 12, 9)}, 15: {"start": datetime.date(2019, 12, 10), "end": datetime.date(2019, 12, 16)}, 16: {"start": datetime.date(2019, 12, 17), "end": datetime.date(2019, 12, 23)}, 17: {"start": datetime.date(2019, 12, 24), "end": datetime.date(2019, 12, 30)}, 18: {"start": datetime.date(2019, 12, 31), "end": datetime.date(2020, 1, 6)}, 19: {"start": datetime.date(2020, 1, 7), "end": datetime.date(2020, 1, 13)}, 20: {"start": datetime.date(2020, 1, 14), "end": datetime.date(2020, 1, 20)}, 21: {"start": datetime.date(2020, 1, 21), "end": datetime.date(2020, 2, 8)}, }, } if __name__ == "__main__": pass

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cd4f1b2a9ce667d03c2090127b3d4aa63b4a5ac7

55

py

Python

pilotoeducacao/pilotoeducacao.py

okfn-brasil/piloto-educacao

a71cac0c8ba562b7f96cf402b6bb8cefac8864de

[ "MIT" ]

3

2021-09-24T20:19:38.000Z

2022-01-27T22:03:13.000Z

pilotoeducacao/pilotoeducacao.py

okfn-brasil/piloto-educacao

a71cac0c8ba562b7f96cf402b6bb8cefac8864de

[ "MIT" ]

null

pilotoeducacao/pilotoeducacao.py

okfn-brasil/piloto-educacao

a71cac0c8ba562b7f96cf402b6bb8cefac8864de

[ "MIT" ]

null

from .queries import get_queries from .search import *

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null

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1

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1

0

5

2695d510e1abdba5a0b492274f11212ec4b1c30a

79

py

Python

energyhubpython/__init__.py

Nitthinan/EnergyHubPython

b2b54f41e4478422f23df8e14ea17fc8d31d796f

[ "MIT" ]

null

energyhubpython/__init__.py

Nitthinan/EnergyHubPython

b2b54f41e4478422f23df8e14ea17fc8d31d796f

[ "MIT" ]

null

energyhubpython/__init__.py

Nitthinan/EnergyHubPython

b2b54f41e4478422f23df8e14ea17fc8d31d796f

[ "MIT" ]

null

#__init__.py from energyhubpython.energyhubtest import Student, SpecialStudent

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1

0

1

0

1

0

5

26ae80e54c015145b8d21e1419716c2e831050f4

233

py

Python

tests/test_100_messages.py

hyoungsookim/banzee

f582f58a77c634eee4176be098db82eeb05945c4

[ "BSD-3-Clause" ]

null

tests/test_100_messages.py

hyoungsookim/banzee

f582f58a77c634eee4176be098db82eeb05945c4

[ "BSD-3-Clause" ]

null

tests/test_100_messages.py

hyoungsookim/banzee

f582f58a77c634eee4176be098db82eeb05945c4

[ "BSD-3-Clause" ]

null

import pytest from server.messages import get_message def test_get_message_200(): assert get_message(200) == 'The request was completed successfully.' def test_get_message_501(): assert get_message(501) == 'Unknown code'

21.181818

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233

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10

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null

0

1

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1

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5

26e049995b784643a62e46410c991f841cb3589a

189

py

Python

spectral/database/__init__.py

wwlswj/spectral

e886e4d9f8c34f512c8e81867f0de76e15550572

[ "MIT" ]

398

2015-01-16T14:55:20.000Z

2022-03-29T04:13:00.000Z

spectral/database/__init__.py

wwlswj/spectral

e886e4d9f8c34f512c8e81867f0de76e15550572

[ "MIT" ]

108

2015-01-20T15:39:17.000Z

2022-02-23T09:59:55.000Z

spectral/database/__init__.py

wwlswj/spectral

e886e4d9f8c34f512c8e81867f0de76e15550572

[ "MIT" ]

123

2015-03-25T10:15:54.000Z

2022-03-06T14:24:21.000Z

from __future__ import absolute_import, division, print_function, unicode_literals from .aster import AsterDatabase from .ecostress import EcostressDatabase from .usgs import USGSDatabase

31.5

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189

7.090909

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189

5

83

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true

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null

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1

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1

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1

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5

26fd23c2038410fb0f4025b299eeb81b5aab7943

100

py

Python

src/speechless/readers/__init__.py

Exepp/SpeechLess

6e7424e979f39132650db0d7426c1e9449dc43b8

[ "MIT" ]

1

2022-03-17T14:51:41.000Z

src/speechless/readers/__init__.py

Exepp/SpeechLess

6e7424e979f39132650db0d7426c1e9449dc43b8

[ "MIT" ]

14

2021-06-23T02:27:22.000Z

2021-11-27T15:43:39.000Z

src/speechless/readers/__init__.py

Exepp/SpeechLess

6e7424e979f39132650db0d7426c1e9449dc43b8

[ "MIT" ]

null

from .audio import AudioReader, StreamInfo, read_entire_audio from .subtitles import read_subtitles

33.333333

61

0.86

13

100

6.384615

0.615385

0

0.1

100

2

62

50

0.922222

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true

0

1

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null

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null

0

1

0

1

0

1

0

5

f80ed6c24ebf7ec5c0708c6581925c3bbfca90b4

910

py

Python

src/pygcode_modules/haskell.py

kazetkazet/cnc

8e207a71616a9a13bac57df85631714235589891

[ "MIT" ]

null

src/pygcode_modules/haskell.py

kazetkazet/cnc

8e207a71616a9a13bac57df85631714235589891

[ "MIT" ]

null

src/pygcode_modules/haskell.py

kazetkazet/cnc

8e207a71616a9a13bac57df85631714235589891

[ "MIT" ]

null

def code() -> str: """ Example G-code module, Haskell logo. Please simulate first, before milling. """ return """ G91 G0 Z30 G0 X-70 Y-60 G0 X0 Y120 G0 Z-30 G0 X40 Y-60 G0 X-40 Y-60 G0 X30 Y0 G0 X40 Y60 G0 X-40 Y60 G0 X-30 Y0 G0 Z30 G0 X50 G0 Z-30 G0 X40 Y-60 G0 X-40 Y-60 G0 X30 Y0 G0 X80 Y120 G0 X-30 Y0 G0 X-25 Y-37.5 G0 X-25 Y37.5 G0 X-30 Y0 G0 Z30 G0 X106.666667 Y-35 G0 Z-30 G0 X0 Y0 G0 X-13.3333 Y-20 G0 X46.66 Y0 G0 X0 Y20 G0 X-33.330 Y0 G0 Z30 G0 X-20 Y-35 G0 Z-30 G0 X-13.3333 Y-20 G0 X66.67 G0 Y20 G0 X-53.33 G0 Z30 G0 X-66.666667 Y10 G0 Z-30 """

16.25

42

0.40989

159

910

2.345912

0.320755

0.120643

0.093834

0.075067

0.383378

0.359249

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0

0.441379

0.521978

910

55

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16.545455

0.416092

0.083516

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true

0

0.046512

0

null

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1

0

1

0

1

0

null

0

1

0

5

f855de0f57d8594d8599c764b0c22332bd21634a

266

py

Python

api/models.py

trinhcaokhoa/Mebook_hub

bb889d990e7b1bc6fd84b2b34733b00151a52f0d

[ "MIT" ]

1

2022-03-30T20:00:33.000Z

api/models.py

trinhcaokhoa/Mebook_hub

bb889d990e7b1bc6fd84b2b34733b00151a52f0d

[ "MIT" ]

null

api/models.py

trinhcaokhoa/Mebook_hub

bb889d990e7b1bc6fd84b2b34733b00151a52f0d

[ "MIT" ]

null

from django.db import models class Book(models.Model): name = models.CharField(max_length=200, default="") author = models.CharField(max_length=20, default="") area = models.CharField(max_length=20) link_to_book = models.CharField(max_length=200)

26.6

56

0.729323

37

266

5.081081

0.513514

0.319149

0.382979

0.510638

0.56383

0

0.044053

0.146617

266

9

57

29.555556

0.784141

0

1

0

false

0

0.166667

0

1

0

null

1

0

1

0

null

0

1

0

5

f8724d41ce0103b685ed5c439035d4eabff1585f

388

py

Python

allennlp/semparse/domain_languages/__init__.py

entslscheia/allennlp

eeba62e34c8e211ed5963f830528c957f178607b

[ "Apache-2.0" ]

null

allennlp/semparse/domain_languages/__init__.py

entslscheia/allennlp

eeba62e34c8e211ed5963f830528c957f178607b

[ "Apache-2.0" ]

null

allennlp/semparse/domain_languages/__init__.py

entslscheia/allennlp

eeba62e34c8e211ed5963f830528c957f178607b

[ "Apache-2.0" ]

1

2021-09-21T12:03:27.000Z

from allennlp.semparse.domain_languages.domain_language import ( DomainLanguage, START_SYMBOL, predicate, predicate_with_side_args, ) from allennlp.semparse.domain_languages.nlvr_language import NlvrLanguage from allennlp.semparse.domain_languages.quarel_language import QuaRelLanguage from allennlp.semparse.domain_languages.wikitables_language import WikiTablesLanguage

38.8

85

0.858247

43

388

7.465116

0.465116

0.149533

0.249221

0.323988

0.436137

0

0.095361

388

9

86

43.111111

0.91453

0

1

0

true

0

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0.444444

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null

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0

1

0

null

0

1

0

1

0

5

f8905b42e41c18b0f84f38d635b69fb315925e0e

70

py

Python

hello-world/hello_world.py

olepunchy/exercism-python-solutions

7710e49ec0188510d50a22928cdb951063ad1a44

[ "BSD-3-Clause" ]

1

2021-12-20T11:29:35.000Z

hello-world/hello_world.py

olepunchy/exercism-python-solutions

7710e49ec0188510d50a22928cdb951063ad1a44

[ "BSD-3-Clause" ]

null

hello-world/hello_world.py

olepunchy/exercism-python-solutions

7710e49ec0188510d50a22928cdb951063ad1a44

[ "BSD-3-Clause" ]

null

def hello(): # return 'Goodbye, Mars!' return 'Hello, World!'

17.5

29

0.585714

8

70

5.125

0.75

0

0.242857

70

3

30

23.333333

0.773585

0.328571

0

0.288889

0

1

0.5

true

0

0.5

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null

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null

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5