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train · 460k rows

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65145be90779dd8ad76b649552d50d74620a870e	276	py	Python	continuum/scenarios/data_incremental.py	yantonov/continuum	682c579c3ea7e2c4961c322a00c33377298208d6	[ "MIT" ]	null	null	null	continuum/scenarios/data_incremental.py	yantonov/continuum	682c579c3ea7e2c4961c322a00c33377298208d6	[ "MIT" ]	null	null	null	continuum/scenarios/data_incremental.py	yantonov/continuum	682c579c3ea7e2c4961c322a00c33377298208d6	[ "MIT" ]	null	null	null	from continuum.scenarios import _BaseCLLoader class DataIncremental(_BaseCLLoader): """[Not Implemented Yet] Continual Loader, generating datasets for the consecutive tasks. Scenario: Classes and instances changes and may reappear (NIC scenario) """ # TODO	27.6	93	0.757246	30	276	6.9	0.9	0	0	0	0	0	0	0	0	0	0	0.177536	276	9	94	30.666667	0.911894	0.597826	0	0	0	0	0	0	0	0	0.111111	0	1	0	true	0	0.5	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	0	1	0	1	0	0	0	4
652862fb4a43ac2630ad5ac83cc22a279339b870	219	py	Python	src/mp_api/routes/fermi.py	rkingsbury/api	14d82c44fe911de19555f6f434d9dfb37bbc0c6f	[ "BSD-3-Clause-LBNL" ]	null	null	null	src/mp_api/routes/fermi.py	rkingsbury/api	14d82c44fe911de19555f6f434d9dfb37bbc0c6f	[ "BSD-3-Clause-LBNL" ]	null	null	null	src/mp_api/routes/fermi.py	rkingsbury/api	14d82c44fe911de19555f6f434d9dfb37bbc0c6f	[ "BSD-3-Clause-LBNL" ]	null	null	null	from emmet.core.fermi import FermiDoc from mp_api.core.client import BaseRester class FermiRester(BaseRester[FermiDoc]): suffix = "fermi" document_model = FermiDoc # type: ignore primary_key = "task_id"	21.9	45	0.744292	28	219	5.678571	0.75	0	0	0	0	0	0	0	0	0	0	0.173516	219	9	46	24.333333	0.878453	0.054795	0	0	0	0.058537	0	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
e8ee87eaa6087cbe3a588dc95b6b2a42acbfb27a	94	py	Python	openff/evaluator/datasets/taproom/__init__.py	jaketanderson/openff-evaluator	68541612fb0dacacc909d02f273c66ae830051d5	[ "MIT" ]	14	2019-02-01T18:56:58.000Z	2019-12-10T18:01:38.000Z	openff/evaluator/datasets/taproom/__init__.py	jaketanderson/openff-evaluator	68541612fb0dacacc909d02f273c66ae830051d5	[ "MIT" ]	168	2019-01-31T19:54:11.000Z	2020-02-05T21:47:00.000Z	openff/evaluator/datasets/taproom/__init__.py	jaketanderson/openff-evaluator	68541612fb0dacacc909d02f273c66ae830051d5	[ "MIT" ]	4	2019-05-01T17:45:24.000Z	2019-11-11T19:34:28.000Z	from .taproom import TaproomDataSet, TaproomSource __all__ = [TaproomDataSet, TaproomSource]	23.5	50	0.829787	8	94	9.25	0.75	0.72973	0	0	0	0	0	0	0	0	0	0.106383	94	3	51	31.333333	0.880952	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
330b8bb9ad2f46a4eebc2040f63d782f365eb336	177	py	Python	CursoemVideo/Desafio095.py	davihonorato/Curso-python	47e6b4b2f5b37ef520b8b31d37dba0b5d259a0b0	[ "MIT" ]	null	null	null	CursoemVideo/Desafio095.py	davihonorato/Curso-python	47e6b4b2f5b37ef520b8b31d37dba0b5d259a0b0	[ "MIT" ]	null	null	null	CursoemVideo/Desafio095.py	davihonorato/Curso-python	47e6b4b2f5b37ef520b8b31d37dba0b5d259a0b0	[ "MIT" ]	null	null	null	# Exercício Python 095: Aprimore o desafio 93 para que ele funcione com vários jogadores, incluindo um sistema de # visualização de detalhes do aproveitamento de cada jogador.	44.25	113	0.80791	26	177	5.5	0.923077	0	0	0	0	0	0	0	0	0	0.033784	0.163842	177	3	114	59	0.932432	0.966102	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
330ea4e848f462fdd7ea729dee1a5495ee781000	419	py	Python	Lib/site-packages/zmq/auth/__init__.py	edupyter/EDUPYTER38	396183cea72987506f1ef647c0272a2577c56218	[ "bzip2-1.0.6" ]	null	null	null	Lib/site-packages/zmq/auth/__init__.py	edupyter/EDUPYTER38	396183cea72987506f1ef647c0272a2577c56218	[ "bzip2-1.0.6" ]	null	null	null	Lib/site-packages/zmq/auth/__init__.py	edupyter/EDUPYTER38	396183cea72987506f1ef647c0272a2577c56218	[ "bzip2-1.0.6" ]	null	null	null	"""Utilities for ZAP authentication. To run authentication in a background thread, see :mod:`zmq.auth.thread`. For integration with the tornado eventloop, see :mod:`zmq.auth.ioloop`. For integration with the asyncio event loop, see :mod:`zmq.auth.asyncio`. Authentication examples are provided in the pyzmq codebase, u...	27.933333	73	0.75179	59	419	5.338983	0.627119	0.057143	0.085714	0.12381	0	0	0	0	0	0	0.008287	0.136038	419	14	74	29.928571	0.861878	0.880668	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	4
332ea52a1f64c3ba1c6c2373978e8e9f0f8cc1d4	3,400	py	Python	src/puzzle/examples/gph/retinal_variants.py	PhilHarnish/forge	663f19d759b94d84935c14915922070635a4af65	[ "MIT" ]	2	2020-08-18T18:43:09.000Z	2020-08-18T20:05:59.000Z	src/puzzle/examples/gph/retinal_variants.py	PhilHarnish/forge	663f19d759b94d84935c14915922070635a4af65	[ "MIT" ]	null	null	null	src/puzzle/examples/gph/retinal_variants.py	PhilHarnish/forge	663f19d759b94d84935c14915922070635a4af65	[ "MIT" ]	null	null	null	import collections # 0 Emboar, 1 Oricorio, 2 Infernape, 3 Gogoat, 4 Illumise, 4 Toxicroak, # 5 Litten, 6 Servine, 6 Starly, 7 Togedemaru, 8 Totodile, 8 Xatu, # 9 Arcanine, 9 Drillbur, 9 Nidoran, 9 Noivern, 9 Relicanth data = """ IRGVLLRLLLLASSLGPGAAPLRSALRKQGKVGPPLDIMLDALNCSAFSIQWKMPRHPPSPIMGYTVFYSEVGVDKSLQERSYGVPPSLN...	70.833333	157	0.916471	139	3,400	22.388489	0.561151	0.005784	0.004499	0	0	0	0	0	0	0	0.008082	0.053824	3,400	47	158	72.340426	0.959279	0.056471	0	0	0	0.841448	0.833645	0	1	0	0	0	1	0	false	0	0.026316	0	0.026316	0.052632	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	null	1	0	0	0	0	0	0	0	0	0	0	4
6853b8416d84bbc3ad455c1719dfb91055cf4468	58	py	Python	Chapter 07/ch7_1i.py	bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE	f6a4194684515495d00aa38347a725dd08f39a0c	[ "MIT" ]	null	null	null	Chapter 07/ch7_1i.py	bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE	f6a4194684515495d00aa38347a725dd08f39a0c	[ "MIT" ]	null	null	null	Chapter 07/ch7_1i.py	bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE	f6a4194684515495d00aa38347a725dd08f39a0c	[ "MIT" ]	null	null	null	def break(): print("Simple is better than complex! ")	29	44	0.655172	8	58	4.75	1	0	0	0	0	0	0	0	0	0	0	0.206897	58	2	44	29	0.826087	0	0	0	0	0.534483	0	0	0	0	0	0	0	null	null	0	0	null	null	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	1	4
685fa563508c5de67ff311e4e7a270ca2af0b226	357	py	Python	finetuned_interpolation.py	vineeths96/Video-Interpolation-using-Deep-Optical-Flow	5dd536bcc2d6c0d0d1718dccb09eb71ca77d2d94	[ "MIT" ]	5	2021-04-17T15:26:29.000Z	2021-10-11T13:17:56.000Z	finetuned_interpolation.py	vineeths96/Video-Interpolation-using-Deep-Optical-Flow	5dd536bcc2d6c0d0d1718dccb09eb71ca77d2d94	[ "MIT" ]	null	null	null	finetuned_interpolation.py	vineeths96/Video-Interpolation-using-Deep-Optical-Flow	5dd536bcc2d6c0d0d1718dccb09eb71ca77d2d94	[ "MIT" ]	2	2021-11-28T06:40:23.000Z	2022-01-17T12:20:21.000Z	from finetuned.corridor import corridor_interpolation from finetuned.sphere import sphere_interpolation # Corridor dataset interpolation corridor_interpolation(model_path="./flownet2/pretrained_models/FlowNet2_checkpoint.pth.tar") # Sphere dataset interpolation sphere_interpolation(model_path="./flownet2/pretrained_...	35.7	93	0.868347	40	357	7.5	0.375	0.086667	0.146667	0.2	0.466667	0.466667	0.466667	0.466667	0.466667	0.466667	0.011905	0.058824	357	9	94	39.666667	0.880952	0.165266	0	0	0	0.379661	0.379661	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	0	0	0	null	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
6892f364d8b9e52cf739d01bd2b55191ad1240af	4,256	py	Python	tests/adapter/test_tiered.py	alexander255/py-datastore	90b4b587140c59f7b0157602ad39299a6ff82c26	[ "MIT" ]	6	2020-04-20T11:00:50.000Z	2021-04-22T21:23:09.000Z	tests/adapter/test_tiered.py	ipfs/py-datastore	b80933d52ca60c52ba2210db74300899d604d7ef	[ "MIT" ]	23	2019-09-17T11:35:06.000Z	2020-04-07T16:18:15.000Z	tests/adapter/test_tiered.py	ipfs/py-datastore	b80933d52ca60c52ba2210db74300899d604d7ef	[ "MIT" ]	6	2019-08-04T02:02:25.000Z	2020-03-01T15:43:41.000Z	import logging import typing import pytest import trio.testing import datastore from tests import conftest from tests.adapter.conftest import make_datastore_test_params @pytest.mark.parametrize(*make_datastore_test_params("tiered")) @trio.testing.trio_test async def test_tiered_simple(DatastoreTests, Adapter, DictD...	28.952381	83	0.715695	687	4,256	4.3377	0.151383	0.118121	0.11745	0.057383	0.804027	0.729195	0.721812	0.65604	0.583557	0.498993	0.047672	0.162124	4,256	146	84	29.150685	0.787998	0.084352	0.509434	0	0	0.012606	0	0	0	0	0	0.556604	1	0	false	0	0.066038	0	0.066038	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	4
6894c5115fedf0c11840da84f8c498104d1ad284	220	py	Python	main/classes/non_decimal_location.py	MHenderson1988/PyLineofsight	169a693320fd39ded4c76fd96b4613de2d0de85c	[ "MIT" ]	4	2021-07-05T09:19:42.000Z	2022-01-22T01:51:02.000Z	main/classes/non_decimal_location.py	MHenderson1988/PyLineofsight	169a693320fd39ded4c76fd96b4613de2d0de85c	[ "MIT" ]	3	2020-06-20T10:47:44.000Z	2022-01-11T19:50:27.000Z	main/classes/non_decimal_location.py	MHenderson1988/PyLineofsight	169a693320fd39ded4c76fd96b4613de2d0de85c	[ "MIT" ]	2	2020-06-20T10:23:36.000Z	2022-01-11T16:14:30.000Z	from abc import ABC, abstractmethod from main.classes.location import Location class NonDecimalLocation(Location, ABC): class Location(ABC): @abstractmethod def to_decimal(self): pass	18.333333	42	0.690909	24	220	6.291667	0.583333	0.225166	0	0	0	0	0	0	0	0	0	0.245455	220	11	43	20	0.909639	0	0	0	0	0	0	0	0	0	0	0	1	0.142857	false	0.142857	0.285714	0	0.714286	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	1	0	4
689a3aa9261d3acf59cdb321944f4ec4ba5a4e7a	79	py	Python	metric/modeling/layers/__init__.py	feymanpriv/pymetric	f7c4f354f87969142263c87e1fb33499b7b2d62a	[ "MIT" ]	62	2020-08-26T11:06:37.000Z	2022-03-29T03:26:00.000Z	metric/modeling/layers/__init__.py	ym547559398/pycls	f7c4f354f87969142263c87e1fb33499b7b2d62a	[ "MIT" ]	2	2021-06-02T10:19:53.000Z	2021-12-06T05:41:23.000Z	metric/modeling/layers/__init__.py	ym547559398/pycls	f7c4f354f87969142263c87e1fb33499b7b2d62a	[ "MIT" ]	11	2020-09-14T12:26:17.000Z	2021-10-04T06:29:35.000Z	from .arcface import Arcface from .circle import Circle from .pooling import *	19.75	28	0.797468	11	79	5.727273	0.454545	0	0	0	0	0	0	0	0	0	0	0.151899	79	3	29	26.333333	0.940299	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
689f91c6c23f4d9821c67386d9202b815fdad87c	226	py	Python	apps/db/apps.py	Alma-CFAO/meetup121219	3f9124b7406a3e9300ac8792f7cd126a69c2b761	[ "MIT" ]	3	2019-12-16T20:48:23.000Z	2019-12-28T09:23:08.000Z	apps/db/apps.py	Alma-CFAO/meetup121219	3f9124b7406a3e9300ac8792f7cd126a69c2b761	[ "MIT" ]	2	2020-02-12T09:25:01.000Z	2021-03-30T12:35:19.000Z	apps/db/apps.py	Alma-CFAO/PyApiFirstDemo	3f9124b7406a3e9300ac8792f7cd126a69c2b761	[ "MIT" ]	null	null	null	# coding: utf-8 from django.apps import \ AppConfig # pragma: no cover class DatabaseConfig(AppConfig): # pragma: no cover """Define database django app config.""" name = 'apps.db' app_label = 'database'	18.833333	52	0.659292	28	226	5.285714	0.714286	0.202703	0.22973	0.297297	0	0	0	0	0	0	0.005714	0.225664	226	11	53	20.545455	0.84	0.367257	0	0	0	0.111111	0	0	0	0	0	0	1	0	false	0	0.2	0	0.8	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
d7aee5116ac5849674adda742998c9c66a39b1b8	454	py	Python	src/euler_python_package/euler_python/medium/p476.py	wilsonify/euler	5214b776175e6d76a7c6d8915d0e062d189d9b79	[ "MIT" ]	null	null	null	src/euler_python_package/euler_python/medium/p476.py	wilsonify/euler	5214b776175e6d76a7c6d8915d0e062d189d9b79	[ "MIT" ]	null	null	null	src/euler_python_package/euler_python/medium/p476.py	wilsonify/euler	5214b776175e6d76a7c6d8915d0e062d189d9b79	[ "MIT" ]	null	null	null	def problem476(): """ Let R(a, b, c) be the maximum area covered by three non-overlapping circles inside a triangle with edge lengths a, b and c. Let S(n) be the average value of R(a, b, c) over all integer triplets (a, b, c) such that 1 ≤ a ≤ b ≤ c < a + b ≤ n You are given S(2)...	26.705882	80	0.579295	89	454	3.022472	0.606742	0.037175	0.033457	0.02974	0	0	0	0	0	0	0.083067	0.310573	454	16	81	28.375	0.757189	0.843612	0	0	0	0	0	0	0	0	0	0	1	0.5	true	0.5	0	0	0.5	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	4
d7b5fa3b8062a30499c83ac42a0fe2ad82814813	70	py	Python	jsonfield_schema/__init__.py	makimo/django-jsonfield-schema	c3e866e53faa66546bf772b96815fed49856fdea	[ "MIT" ]	2	2018-09-16T11:37:00.000Z	2018-09-16T14:16:32.000Z	jsonfield_schema/__init__.py	makimo/django-jsonfield-schema	c3e866e53faa66546bf772b96815fed49856fdea	[ "MIT" ]	null	null	null	jsonfield_schema/__init__.py	makimo/django-jsonfield-schema	c3e866e53faa66546bf772b96815fed49856fdea	[ "MIT" ]	2	2020-03-27T23:06:10.000Z	2020-04-24T17:53:43.000Z	__version__ = '0.0.1' from .types import * from .exceptions import *	14	25	0.7	10	70	4.5	0.7	0	0	0	0	0	0	0	0	0	0.051724	0.171429	70	4	26	17.5	0.724138	0	0	0	0	0.071429	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
d7bc9dea140225e1e0942a2e36db1f63e5f740cd	128	py	Python	terrascript/provider/ultradns.py	hugovk/python-terrascript	08fe185904a70246822f5cfbdc9e64e9769ec494	[ "BSD-2-Clause" ]	507	2017-07-26T02:58:38.000Z	2022-01-21T12:35:13.000Z	terrascript/provider/ultradns.py	hugovk/python-terrascript	08fe185904a70246822f5cfbdc9e64e9769ec494	[ "BSD-2-Clause" ]	135	2017-07-20T12:01:59.000Z	2021-10-04T22:25:40.000Z	terrascript/provider/ultradns.py	hugovk/python-terrascript	08fe185904a70246822f5cfbdc9e64e9769ec494	[ "BSD-2-Clause" ]	81	2018-02-20T17:55:28.000Z	2022-01-31T07:08:40.000Z	# terrascript/provider/ultradns.py import terrascript class ultradns(terrascript.Provider): pass __all__ = ["ultradns"]	12.8	37	0.757813	13	128	7.153846	0.615385	0.408602	0	0	0	0	0	0	0	0	0	0.140625	128	9	38	14.222222	0.845455	0.25	0	0	0	0.085106	0	0	0	0	0	0	1	0	false	0.25	0.25	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	4
d7cdf85e24b9354e5cbd695eccf0b103032f8754	83	py	Python	itermethodchain/__init__.py	tateishi/itermethodchain	c6c2d458f8505842c9edf9bdef8d8c69cdaf4b15	[ "MIT" ]	null	null	null	itermethodchain/__init__.py	tateishi/itermethodchain	c6c2d458f8505842c9edf9bdef8d8c69cdaf4b15	[ "MIT" ]	null	null	null	itermethodchain/__init__.py	tateishi/itermethodchain	c6c2d458f8505842c9edf9bdef8d8c69cdaf4b15	[ "MIT" ]	null	null	null	from . import chaining IterMethodChain = chaining.IterMethodChain VERSION='0.0.1'	16.6	42	0.795181	10	83	6.6	0.7	0.69697	0	0	0	0	0	0	0	0	0.040541	0.108434	83	5	43	16.6	0.851351	0	0	0	0	0.059524	0	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
d7d8123f18375ffb3070470f45232785446d1d87	311	py	Python	desafio27.py	lucasmc64/Curso_de_Python_CeV	aed942828913ff405941a7d86fb65ddcc79c414d	[ "MIT" ]	1	2021-02-19T05:13:32.000Z	2021-02-19T05:13:32.000Z	desafio27.py	lucasmc64/python_cev	aed942828913ff405941a7d86fb65ddcc79c414d	[ "MIT" ]	null	null	null	desafio27.py	lucasmc64/python_cev	aed942828913ff405941a7d86fb65ddcc79c414d	[ "MIT" ]	null	null	null	print('{} DESAFIO 27 {}'.format('=' * 10, '=' * 10)) n = str(input('Digite seu nome completo: ')).strip() id = n.count(' ') n = n.split() print('Muito prazer em te conhecer!') print('primeiro nome: {}\núltimo nome: {}'.format(n[0], n[id])) #print('primeiro nome: {}\núltimo nome: {}'.format(n[0], n[len(n)-1]))	38.875	70	0.588424	48	311	3.8125	0.541667	0.142077	0.185792	0.262295	0.404372	0.404372	0.404372	0.404372	0.404372	0	0.03321	0.128617	311	7	71	44.428571	0.642066	0.221865	0	0	0	0.443983	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	0	0	0	null	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	4
d7eff8afba1cc15be19be38b3d185ee3c1245a41	139	py	Python	aula007 - OPERADORES ARITMETICOS/aula007e.py	miradouro/CursoEmVideo-Python	cc7b05a9a4aad8e6ef3b29453d83370094d75e41	[ "MIT" ]	null	null	null	aula007 - OPERADORES ARITMETICOS/aula007e.py	miradouro/CursoEmVideo-Python	cc7b05a9a4aad8e6ef3b29453d83370094d75e41	[ "MIT" ]	null	null	null	aula007 - OPERADORES ARITMETICOS/aula007e.py	miradouro/CursoEmVideo-Python	cc7b05a9a4aad8e6ef3b29453d83370094d75e41	[ "MIT" ]	null	null	null	n1 = float(input('Quantos reais você tem na carteira?')) print('Você consegue comprar {} dolares com seus {} reais!'.format(n1//3.27, n1))	46.333333	81	0.697842	22	139	4.409091	0.818182	0	0	0	0	0	0	0	0	0	0.049587	0.129496	139	2	82	69.5	0.752066	0	0	0	0	0.618705	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	1	4
cc0623a4422a0671dc958301c3923642d66ae8a1	95	py	Python	covidpolls/apps.py	mtlberri/covidpolls	77081b886abb579f16cec800e50f5477341675b1	[ "MIT" ]	null	null	null	covidpolls/apps.py	mtlberri/covidpolls	77081b886abb579f16cec800e50f5477341675b1	[ "MIT" ]	6	2020-05-17T01:47:35.000Z	2021-09-22T19:00:37.000Z	covidpolls/apps.py	mtlberri/covidpolls	77081b886abb579f16cec800e50f5477341675b1	[ "MIT" ]	null	null	null	from django.apps import AppConfig class CovidpollsConfig(AppConfig): name = 'covidpolls'	15.833333	34	0.768421	10	95	7.3	0.9	0	0	0	0	0	0	0	0	0	0	0.157895	95	5	35	19	0.9125	0	0	0	0	0.105263	0	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
0bff7e0b9981ab2e59a6946874582bd478ce61c6	154	py	Python	streamlit_app.py	pedrorohde/dlib_example	dfa32ef2e2e0609e7ec72dbb1cac4d66cd7509c8	[ "Apache-2.0" ]	null	null	null	streamlit_app.py	pedrorohde/dlib_example	dfa32ef2e2e0609e7ec72dbb1cac4d66cd7509c8	[ "Apache-2.0" ]	null	null	null	streamlit_app.py	pedrorohde/dlib_example	dfa32ef2e2e0609e7ec72dbb1cac4d66cd7509c8	[ "Apache-2.0" ]	null	null	null	import streamlit as st import dlib import cv2 import numpy import streamlit_webrtc import PIL face_detector = dlib.get_frontal_face_detector() "Hello"	12.833333	48	0.824675	23	154	5.304348	0.608696	0.245902	0	0	0	0	0	0	0	0	0.007519	0.136364	154	11	49	14	0.909774	0	0	0	0	0.032468	0	0	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
0401b9f131a93f1806afd5bc5fba97f19b4d87c0	730	py	Python	Code/22.ImageContourApp5.py	minssoj/Learning_OpenCV-Python	63f175985a1d9645191c49e16ab6bb91a4f6b7fb	[ "MIT" ]	1	2020-03-09T02:58:51.000Z	2020-03-09T02:58:51.000Z	Code/22.ImageContourApp5.py	minssoj/Learning_OpenCV-Python	63f175985a1d9645191c49e16ab6bb91a4f6b7fb	[ "MIT" ]	null	null	null	Code/22.ImageContourApp5.py	minssoj/Learning_OpenCV-Python	63f175985a1d9645191c49e16ab6bb91a4f6b7fb	[ "MIT" ]	null	null	null	# ================================================= # minso.jeong@daum.net # 22. 이미지 Contour 응용 5 # Reference : samsjang@naver.com # ================================================= import numpy as np import cv2 as cv import matplotlib.pyplot as plt # A. Contour Hierachy # =====================* arrangement *========...	40.555556	66	0.513699	85	730	4.364706	0.529412	0.107817	0.12938	0	0	0	0	0	0	0	0.018898	0.130137	730	18	67	40.555556	0.565354	0.867123	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	4
04026c4e0f2a6d08fcc7a3045581a432101d2a83	442	py	Python	match_challenge/app/serializers.py	spratiman/MatchChallenge	57225472ffb90766eff2b4a53e6af7b518c6af2c	[ "Apache-2.0" ]	null	null	null	match_challenge/app/serializers.py	spratiman/MatchChallenge	57225472ffb90766eff2b4a53e6af7b518c6af2c	[ "Apache-2.0" ]	null	null	null	match_challenge/app/serializers.py	spratiman/MatchChallenge	57225472ffb90766eff2b4a53e6af7b518c6af2c	[ "Apache-2.0" ]	null	null	null	from rest_framework import serializers from .models import Notice, Record, Match class NoticeSerializer(serializers.ModelSerializer): class Meta: model = Notice fields = "__all__" class RecordSerializer(serializers.ModelSerializer): class Meta: model = Record fields = "__all_...	21.047619	52	0.692308	41	442	7.146341	0.439024	0.266212	0.317406	0.358362	0.409556	0	0	0	0	0	0	0.239819	442	20	53	22.1	0.872024	0	0.428571	0	0	0.047511	0	0	0	0	0	0	1	0	false	0	0.142857	0	0.571429	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	4
04129dba0abb46fc3ab188cbda37e845599a2667	245	py	Python	01-introduction to python for data science/01-python basics/the_python_interface.py	thelc127/Data-Scientist-Career-Track-Datacamp	56d0ec0ece7fa9127e72b0da598c89f15f31b6b3	[ "MIT" ]	2	2021-05-21T04:59:19.000Z	2021-05-21T08:32:41.000Z	01-introduction to python for data science/01-python basics/the_python_interface.py	thelc127/Data-Scientist-Career-Track-Datacamp	56d0ec0ece7fa9127e72b0da598c89f15f31b6b3	[ "MIT" ]	null	null	null	01-introduction to python for data science/01-python basics/the_python_interface.py	thelc127/Data-Scientist-Career-Track-Datacamp	56d0ec0ece7fa9127e72b0da598c89f15f31b6b3	[ "MIT" ]	null	null	null	# Experiment in the IPython Shell; type 5 / 8, for example. # Add another line of code to the Python script on the top-right (not in the Shell): print(7 + 10). # Example, do not modify! print(5 / 8) 0.625 # Put code below here print(7 + 10) 17.0	30.625	99	0.693878	48	245	3.541667	0.6875	0.058824	0.094118	0	0	0	0	0	0	0	0.086735	0.2	245	8	100	30.625	0.780612	0.812245	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0.5	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	4
0429a987370acb1befdc871d29e0e45d023f3c3d	1,194	py	Python	program/condition/condition.py	probing-lab/polar	30a7ae05da5364fa65b1609f31f9b108113ab4ae	[ "MIT" ]	2	2021-10-06T13:29:24.000Z	2021-11-11T19:42:43.000Z	program/condition/condition.py	daneshvar-amrollahi/polar	b72254e1a8354e6a10135cd3990b8edfda02559e	[ "MIT" ]	1	2022-01-26T15:58:28.000Z	2022-01-28T13:47:28.000Z	program/condition/condition.py	daneshvar-amrollahi/polar	b72254e1a8354e6a10135cd3990b8edfda02559e	[ "MIT" ]	2	2021-10-01T15:08:52.000Z	2022-03-15T14:10:06.000Z	from abc import ABC, abstractmethod from typing import List, Tuple, Dict from symengine.lib.symengine_wrapper import Expr, Symbol class Condition(ABC): is_loop_guard: bool = False @abstractmethod def is_implied_by_loop_guard(self): pass @abstractmethod def get_loop_guard(self): ...	20.586207	66	0.639866	132	1,194	5.575758	0.340909	0.254076	0.285326	0.130435	0.134511	0.092391	0	0	0	0	0	0.269682	1,194	57	67	20.947368	0.844037	0	0.52381	0	0	0.037688	0	0	0	0	0	0	1	0.285714	false	0.261905	0.071429	0	0.428571	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	0	4
0440e3744f1b30cb10fa6c6f1e5ea39696985b82	151	py	Python	docs/tutorials/_tutorial_setup.py	LevyForchh/bionic	f7f9486ac22c928bfbf12c40abf4bfd81751d77e	[ "Apache-2.0" ]	null	null	null	docs/tutorials/_tutorial_setup.py	LevyForchh/bionic	f7f9486ac22c928bfbf12c40abf4bfd81751d77e	[ "Apache-2.0" ]	1	2020-05-19T01:01:27.000Z	2020-05-19T01:01:27.000Z	docs/tutorials/_tutorial_setup.py	LevyForchh/bionic	f7f9486ac22c928bfbf12c40abf4bfd81751d77e	[ "Apache-2.0" ]	null	null	null	import sys from pathlib import Path project_path = str(Path('../..').resolve()) if project_path not in sys.path: sys.path.insert(0, project_path)	21.571429	43	0.715232	24	151	4.375	0.541667	0.314286	0	0	0	0	0	0	0	0	0.007692	0.139073	151	6	44	25.166667	0.8	0	0	0	0	0.033113	0	0	0	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
04569ce2d975299942393fe0726dcd0f35038349	885	py	Python	tests/rlcomplete_test.py	techdragon/fabulous	bc6de0f4414cebb4a13f6604c5a2797862e0439d	[ "MIT" ]	1	2019-06-27T13:05:31.000Z	2019-06-27T13:05:31.000Z	tests/rlcomplete_test.py	techdragon/fabulous	bc6de0f4414cebb4a13f6604c5a2797862e0439d	[ "MIT" ]	null	null	null	tests/rlcomplete_test.py	techdragon/fabulous	bc6de0f4414cebb4a13f6604c5a2797862e0439d	[ "MIT" ]	null	null	null	#!/usr/bin/env python import unittest from terminate import rlcomplete class TestControl(unittest.TestCase): def test_ListCompleter(self): c = rlcomplete.ListCompleter(['foo','bar','baz'], True) self.failUnlessEqual(c.completelist('a'), []) self.failUnlessEqual(c.completelist('B'), ['bar'...	32.777778	64	0.624859	93	885	5.83871	0.483871	0.209945	0.220994	0.353591	0.325967	0.265193	0.143646	0	0	0	0	0.20113	885	26	65	34.038462	0.768034	0.230508	0	0	0	0.068047	0	0	0	0	0	0	1	0.133333	false	0.066667	0.133333	0	0.333333	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	4
f08821108c26e765c7d85cee47b7b3491e843bc4	15,096	py	Python	informers_specs_util.py	ExplanationNAACL/NAACL-Informers	bea3e256e68880cfd656a26d5cfd75a622fead89	[ "MIT" ]	null	null	null	informers_specs_util.py	ExplanationNAACL/NAACL-Informers	bea3e256e68880cfd656a26d5cfd75a622fead89	[ "MIT" ]	null	null	null	informers_specs_util.py	ExplanationNAACL/NAACL-Informers	bea3e256e68880cfd656a26d5cfd75a622fead89	[ "MIT" ]	2	2022-01-16T03:35:21.000Z	2022-01-16T03:51:56.000Z	""" This file is to demonstrate what types of wrappers a user would need to make to use their custom explainer, dataset, and model, with our Informers library. In this case, our custom explainer, dataset, and model is from LIT. - This file contains the Wrapper functions for the LIT explainers, models, and dataset to a...	44.011662	119	0.614202	1,788	15,096	5.058166	0.155481	0.029854	0.037815	0.01946	0.745688	0.728992	0.704224	0.704224	0.690624	0.690624	0.009476	0.286963	15,096	342	120	44.140351	0.830732	0.387321	0.572289	0	0	0.040316	0.002476	0	0	0	0.008772	0.060241	1	0.090361	false	0.012048	0.054217	0	0.216867	0.018072	0	0	0	null	0	0	0	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
f0cda55ca994e0fcc12486d3149f38241f2acaa6	3,727	py	Python	project/matrix.py	arifBurakDemiray/computer-graphics	acf4781f92e325b12d986974c448b0e3520af431	[ "MIT" ]	null	null	null	project/matrix.py	arifBurakDemiray/computer-graphics	acf4781f92e325b12d986974c448b0e3520af431	[ "MIT" ]	null	null	null	project/matrix.py	arifBurakDemiray/computer-graphics	acf4781f92e325b12d986974c448b0e3520af431	[ "MIT" ]	null	null	null	# CENG 487 Assignment6 by # Arif Burak Demiray # December 2021 from math import sin, cos from .vector import * import numpy class Matrix: @staticmethod def create(arg): if len(arg) != 16: raise Exception("array size must be 16!") cols = [] for x in range(0, 4): ...	29.579365	136	0.524819	663	3,727	2.914027	0.13273	0.169772	0.209627	0.227743	0.376812	0.376812	0.307453	0.292961	0.241201	0.228778	0.100945	0.290314	3,727	125	137	29.816	0.62949	0.015025	0.212766	0	0	0.006545	0	0	0	0	0	0	1	0.234043	false	0	0.031915	0.117021	0.5	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	0	0	4
f0fb2a8c10c6fc3b89fc12b6eeca6d64ad7599c9	89	py	Python	run.py	Zwami/yacm	db7cc6693fb37178f81f741c0f6ebebf525d146d	[ "MIT" ]	null	null	null	run.py	Zwami/yacm	db7cc6693fb37178f81f741c0f6ebebf525d146d	[ "MIT" ]	1	2021-08-23T20:49:05.000Z	2021-08-23T20:49:05.000Z	run.py	Zwami/yacm	db7cc6693fb37178f81f741c0f6ebebf525d146d	[ "MIT" ]	null	null	null	from SocialModel.server import server print("Yet Another Covid Model") server.launch()	14.833333	37	0.786517	12	89	5.833333	0.833333	0	0	0	0	0	0	0	0	0	0	0.123596	89	5	38	17.8	0.897436	0	0	0	0	0.258427	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0.333333	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
0b19a7d89da4d622a9c1629ffc378fa0e450b549	98	py	Python	nets/backbone/mobilenet/__init__.py	Ecalose/dddd_trainer	ef0c6b271cc2898403375f53f813481ffbf6b02c	[ "Apache-2.0" ]	80	2022-02-20T01:28:55.000Z	2022-03-31T09:09:25.000Z	nets/backbone/mobilenet/__init__.py	wingeva1986/dddd_trainer	608bfec699446040aea205387c9a2129ea5fa575	[ "Apache-2.0" ]	2	2022-03-14T03:05:34.000Z	2022-03-28T05:35:53.000Z	nets/backbone/mobilenet/__init__.py	wingeva1986/dddd_trainer	608bfec699446040aea205387c9a2129ea5fa575	[ "Apache-2.0" ]	30	2022-02-20T01:34:43.000Z	2022-03-31T09:09:35.000Z	from .mobilenetv2 import mobilenetv2 from .mobilenetv3 import MobileNetV3_Small, MobileNetV3_Large	49	61	0.887755	11	98	7.727273	0.545455	0	0	0	0	0	0	0	0	0	0.055556	0.081633	98	2	61	49	0.888889	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
9bd306c90faf5349667d57ad00df5da21292514d	230	py	Python	Linux_Mint_Programs_BackUp/models/program.py	ToastedGuy2/Automation-Scripts-With-Python	596bcf4a06e2217af59707a243c7da0d705d76a7	[ "MIT" ]	null	null	null	Linux_Mint_Programs_BackUp/models/program.py	ToastedGuy2/Automation-Scripts-With-Python	596bcf4a06e2217af59707a243c7da0d705d76a7	[ "MIT" ]	null	null	null	Linux_Mint_Programs_BackUp/models/program.py	ToastedGuy2/Automation-Scripts-With-Python	596bcf4a06e2217af59707a243c7da0d705d76a7	[ "MIT" ]	null	null	null	from mongoengine import * from mongoengine.document import Document from mongoengine.fields import StringField class Program(Document): name = StringField(required=True, max_length=50) meta = {'allow_inheritance': True}	25.555556	52	0.782609	27	230	6.592593	0.62963	0.252809	0	0	0	0	0	0	0	0	0.010101	0.13913	230	8	53	28.75	0.888889	0	0	0	0	0.073913	0	0	0	0	0	0	1	0	false	0	0.5	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
9bf7bf47b8f465bf96e82903978f0fcbc734c184	150	wsgi	Python	py_relay/app_relay.wsgi	itc-lab/wiringpi-python-bme280	3e2cbcc7232f387c0f61f89faade654699a11e20	[ "MIT" ]	1	2022-01-16T16:33:38.000Z	2022-01-16T16:33:38.000Z	py_relay/app_relay.wsgi	itc-lab/wiringpi-python-bme280	3e2cbcc7232f387c0f61f89faade654699a11e20	[ "MIT" ]	null	null	null	py_relay/app_relay.wsgi	itc-lab/wiringpi-python-bme280	3e2cbcc7232f387c0f61f89faade654699a11e20	[ "MIT" ]	null	null	null	#!/usr/bin/ python3 # -- coding:utf-8 -- import sys sys.path.insert(0, "/var/www/flask") from app_relay import app_relay application = app_relay	15	36	0.7	24	150	4.25	0.75	0.235294	0	0	0	0	0	0	0	0	0.023077	0.133333	150	9	37	16.666667	0.761538	0.26	0	0	0	0.12844	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
500160d36b9ba1e7d23bc7ca91e481356d26737d	220	py	Python	splendor_ai/random_mover.py	ggawryal/splendor-ai	356ae2466edabbd3d304f66a29042a23df2c6226	[ "MIT" ]	1	2021-09-01T15:56:14.000Z	2021-09-01T15:56:14.000Z	splendor_ai/random_mover.py	ggawryal/splendor-ai	356ae2466edabbd3d304f66a29042a23df2c6226	[ "MIT" ]	null	null	null	splendor_ai/random_mover.py	ggawryal/splendor-ai	356ae2466edabbd3d304f66a29042a23df2c6226	[ "MIT" ]	null	null	null	from typing import AbstractSet import numpy as np from abstract_model import AbstractModel class RandomMover(AbstractModel): def get_scores_for_each_move(self,env): return np.random.rand(self.output_nodes)	24.444444	48	0.8	31	220	5.483871	0.806452	0	0	0	0	0	0	0	0	0	0	0.145455	220	8	49	27.5	0.904255	0	0	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0.5	0.166667	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	1	1	0	4
5022333d227cddd262db29cbe79d0dfadd29e5ec	183	py	Python	frappe/patches/v8_0/drop_in_dialog.py	Nxweb-in/frappe	56b3eb52bf56dd71bee29fde3ed28ed9c6d15947	[ "MIT" ]	1	2021-06-03T07:04:48.000Z	2021-06-03T07:04:48.000Z	frappe/patches/v8_0/drop_in_dialog.py	Nxweb-in/frappe	56b3eb52bf56dd71bee29fde3ed28ed9c6d15947	[ "MIT" ]	null	null	null	frappe/patches/v8_0/drop_in_dialog.py	Nxweb-in/frappe	56b3eb52bf56dd71bee29fde3ed28ed9c6d15947	[ "MIT" ]	null	null	null	import frappe def execute(): if frappe.db.has_column('DocType', 'in_dialog'): frappe.db.sql('alter table tabDocType drop column in_dialog') frappe.clear_cache(doctype="DocType")	26.142857	63	0.759563	27	183	5	0.666667	0.118519	0.207407	0	0	0	0	0	0	0	0	0.103825	183	7	64	26.142857	0.823171	0	0	0	0	0.36612	0	0	0	0	0	0	1	0.2	true	0	0.2	0	0.4	0	1	0	0	null	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
5030aa5a1b69a9418f64aae2ed67914b33509757	83	py	Python	gsan/__init__.py	TheRipperJhon/GSAN	3e911b1212d87994bd63e2d7b403ed07786f0017	[ "MIT" ]	2	2020-07-08T18:04:22.000Z	2020-09-23T01:03:15.000Z	gsan/__init__.py	TheRipperJhon/GSAN	3e911b1212d87994bd63e2d7b403ed07786f0017	[ "MIT" ]	4	2020-02-25T11:49:03.000Z	2022-02-26T04:02:21.000Z	gsan/__init__.py	TheRipperJhon/GSAN	3e911b1212d87994bd63e2d7b403ed07786f0017	[ "MIT" ]	1	2020-09-23T01:03:16.000Z	2020-09-23T01:03:16.000Z	"""Initialize GAN modules.""" from .get_san import get_san __all__ = ['get_san']	13.833333	29	0.698795	12	83	4.25	0.666667	0.352941	0	0	0	0	0	0	0	0	0	0.144578	83	5	30	16.6	0.71831	0.277108	0	0	0	0.12963	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
503d92eebef08569af826688fca05f0469fe83b1	98	py	Python	Tutorials/01. 10 Days of Statistics/008. Day 4 - Geometric Distribution I.py	stonehengee/HackerrankPractice	ec052e7447391e40d1919cf0b641ff5023da3da3	[ "MIT" ]	null	null	null	Tutorials/01. 10 Days of Statistics/008. Day 4 - Geometric Distribution I.py	stonehengee/HackerrankPractice	ec052e7447391e40d1919cf0b641ff5023da3da3	[ "MIT" ]	null	null	null	Tutorials/01. 10 Days of Statistics/008. Day 4 - Geometric Distribution I.py	stonehengee/HackerrankPractice	ec052e7447391e40d1919cf0b641ff5023da3da3	[ "MIT" ]	null	null	null	# Problem: https://www.hackerrank.com/challenges/s10-geometric-distribution-1/problem # Score: 30	32.666667	85	0.785714	13	98	5.923077	0.923077	0	0	0	0	0	0	0	0	0	0.054348	0.061224	98	2	86	49	0.782609	0.94898	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
ac9c2d1b264b2d6431c11f386c2950b84cb391dc	289	py	Python	python/armstrong-numbers/armstrong_numbers.py	rootulp/exercism	312a053ad1d375752acf0fce062ee7b9c643a149	[ "MIT" ]	41	2015-02-09T18:08:45.000Z	2022-03-06T15:23:32.000Z	python/armstrong-numbers/armstrong_numbers.py	DucChuyenSoftwareEngineer/exercism	fb7820a1ba162b888a39f1b86cbe5d3ca3b15d4f	[ "MIT" ]	21	2019-12-28T17:47:06.000Z	2021-02-27T19:43:00.000Z	python/armstrong-numbers/armstrong_numbers.py	DucChuyenSoftwareEngineer/exercism	fb7820a1ba162b888a39f1b86cbe5d3ca3b15d4f	[ "MIT" ]	18	2016-04-29T14:35:12.000Z	2021-06-23T07:32:29.000Z	def get_digits(number): return list(map(int, list(str(number)))) def is_armstrong(number): digits = get_digits(number) num_digits = len(digits) digits_raised_to_num_digits = [digit ** num_digits for digit in digits] return number == sum(digits_raised_to_num_digits)	26.272727	75	0.726644	43	289	4.581395	0.44186	0.182741	0.152284	0.172589	0.233503	0	0	0	0	0	0	0.16955	289	10	76	28.9	0.820833	0	0	0	0	0	0	0	0	0	0	0	1	0.285714	false	0	0	0.142857	0.571429	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	4
acd33bb3a125db4375e4b35a419dd956170925c1	89	py	Python	src/__init__.py	MaskDuck/garlic-bot	51fd5dad6f35d2fc32181592aa2fdaff24dc511f	[ "MIT" ]	4	2022-03-19T16:53:09.000Z	2022-03-19T23:42:25.000Z	src/__init__.py	vcokltfre/disnake-template	dc7dfdb1c0abcc6eb650444e9675a8aa8575efa6	[ "MIT" ]	3	2022-03-20T11:58:30.000Z	2022-03-26T09:16:33.000Z	src/__init__.py	vcokltfre/disnake-template	dc7dfdb1c0abcc6eb650444e9675a8aa8575efa6	[ "MIT" ]	2	2022-03-21T05:22:47.000Z	2022-03-28T04:40:11.000Z	from dotenv import load_dotenv load_dotenv() from .impl import Bot __all__ = ("Bot",)	11.125	30	0.730337	13	89	4.538462	0.538462	0.338983	0	0	0	0	0	0	0	0	0	0.168539	89	7	31	12.714286	0.797297	0	0	0	0	0.033708	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
acd46bade7f1d25f39875139653f985839179344	100	py	Python	phd/__init__.py	MaxHalford/tldks-2020	e8d1d7de0d4cf47aeaaeef8701d1593cdf8d5e86	[ "Apache-2.0" ]	null	null	null	phd/__init__.py	MaxHalford/tldks-2020	e8d1d7de0d4cf47aeaaeef8701d1593cdf8d5e86	[ "Apache-2.0" ]	1	2021-03-31T20:00:51.000Z	2021-03-31T20:00:51.000Z	phd/__init__.py	MaxHalford/tldks-2020	e8d1d7de0d4cf47aeaaeef8701d1593cdf8d5e86	[ "Apache-2.0" ]	null	null	null	from .bn import BayesianNetwork from .rbn import RecursiveBayesianNetwork from .rel import Relation	25	41	0.85	12	100	7.083333	0.666667	0	0	0	0	0	0	0	0	0	0	0.12	100	3	42	33.333333	0.965909	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
acddc91957354724b86cfd5be34f0198c7ab67f2	84	py	Python	imagepy/__main__.py	Pad0y/imagepy	23f41b64ade02f94b566b0d23a4b6459c1a1578d	[ "BSD-4-Clause" ]	null	null	null	imagepy/__main__.py	Pad0y/imagepy	23f41b64ade02f94b566b0d23a4b6459c1a1578d	[ "BSD-4-Clause" ]	null	null	null	imagepy/__main__.py	Pad0y/imagepy	23f41b64ade02f94b566b0d23a4b6459c1a1578d	[ "BSD-4-Clause" ]	null	null	null	import sys sys.path.append("../") from imagepy.app import startup startup.start()	12	31	0.72619	12	84	5.083333	0.75	0	0	0	0	0	0	0	0	0	0	0.119048	84	6	32	14	0.824324	0	0	0	0	0.035714	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
acec0c5ccf611bc1279c28f6e556b2f330be79c5	200	py	Python	recursiveCount.py	ClarkGH/pythonCS	3ee0002dca0a5eb3e705fc52120f222a62d05e17	[ "MIT" ]	null	null	null	recursiveCount.py	ClarkGH/pythonCS	3ee0002dca0a5eb3e705fc52120f222a62d05e17	[ "MIT" ]	null	null	null	recursiveCount.py	ClarkGH/pythonCS	3ee0002dca0a5eb3e705fc52120f222a62d05e17	[ "MIT" ]	null	null	null	numberList = [1,2,3,4,5] def recursiveCount(numList): if not numList: return 0 else: return 1 + recursiveCount(numList[1::2]) + recursiveCount(numList[2::2]) print recursiveCount( numberList )	22.222222	74	0.72	28	200	5.142857	0.535714	0.4375	0	0	0	0	0	0	0	0	0.063953	0.14	200	9	75	22.222222	0.773256	0	0	0	0	0	0	0	0	0	0	0	0	null	null	0	0	null	null	0.142857	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	0	4
4a02c21fa0fceb55a21e7c5660f451deb3e29332	125	py	Python	week3/apps.py	CharityMutonii/award	4847a61542869851016fb4fb87016ddf558ec2fb	[ "MIT" ]	2	2020-11-02T18:58:18.000Z	2021-01-06T10:59:23.000Z	week3/apps.py	CharityMutonii/award	4847a61542869851016fb4fb87016ddf558ec2fb	[ "MIT" ]	null	null	null	week3/apps.py	CharityMutonii/award	4847a61542869851016fb4fb87016ddf558ec2fb	[ "MIT" ]	null	null	null	from __future__ import unicode_literals from django.apps import AppConfig class Week3Config(AppConfig): name = 'week3'	17.857143	39	0.792	15	125	6.266667	0.8	0	0	0	0	0	0	0	0	0	0.018868	0.152	125	6	40	20.833333	0.867925	0	0	0	0	0.04	0	0	0	0	0	0	1	0	false	0	0.5	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
4a1dc586bea2fbc2e9ca442424b96944f701c733	1,319	py	Python	flask/test/data/setup_tables.py	spaudanjo/boxtribute	c29311a38721277a07b5e1dbcf36cf12bcd8b727	[ "Apache-2.0" ]	null	null	null	flask/test/data/setup_tables.py	spaudanjo/boxtribute	c29311a38721277a07b5e1dbcf36cf12bcd8b727	[ "Apache-2.0" ]	null	null	null	flask/test/data/setup_tables.py	spaudanjo/boxtribute	c29311a38721277a07b5e1dbcf36cf12bcd8b727	[ "Apache-2.0" ]	null	null	null	from data.base import create_default_bases from data.box import create_default_box from data.box_state import create_default_box_state from data.location import create_default_location from data.organisation import create_default_organisation from data.product import create_default_product from data.product_category im...	39.969697	80	0.8605	182	1,319	5.71978	0.153846	0.349664	0.255524	0.074928	0.211335	0.147935	0.07877	0.07877	0.07877	0	0	0.103108	1,319	32	81	41.21875	0.879966	0	0	0	0	0	0	0	0	0	0	0	1	0.033333	true	0	0.466667	0	0.5	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
c57b00dda590f9352bf3e01ae5183ce3d5470865	755	py	Python	ProjectCentricMail/models.py	AadityaDeshpande/Project-centric-mail	14d7180f5c37f9e2b0104b905e06b8b3ac1695d5	[ "MIT" ]	2	2018-09-26T07:50:55.000Z	2019-02-13T14:25:54.000Z	ProjectCentricMail/models.py	AadityaDeshpande/Project-centric-mail	14d7180f5c37f9e2b0104b905e06b8b3ac1695d5	[ "MIT" ]	null	null	null	ProjectCentricMail/models.py	AadityaDeshpande/Project-centric-mail	14d7180f5c37f9e2b0104b905e06b8b3ac1695d5	[ "MIT" ]	null	null	null	from django.db import models # Create your models here. class MessageInfo(models.Model): m_id = models.CharField(max_length=32) Sender = models.CharField(max_length=2048) Subject = models.CharField(max_length=128) Date = models.DateField() Snippet = models.CharField(max_length=512) Message_body...	34.318182	66	0.762914	95	755	5.926316	0.421053	0.239787	0.287744	0.383659	0.369449	0	0	0	0	0	0.038168	0.13245	755	21	67	35.952381	0.821374	0.031788	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.058824	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	4
c59ec261be5a6da5d66d544495a47f45ec2a6328	333	py	Python	testcase/PageObjects1/google.py	FleyFawkes/SeleniumPython	99d013adc79fc126a19b3e1cac5540897f37a11a	[ "MIT" ]	1	2021-08-30T09:57:00.000Z	2021-08-30T09:57:00.000Z	testcase/PageObjects1/google.py	bg-portfolio/bg-portfolio_pytest_selenium	f3869ac2200bc8d225932432d14081a01d345582	[ "MIT" ]	null	null	null	testcase/PageObjects1/google.py	bg-portfolio/bg-portfolio_pytest_selenium	f3869ac2200bc8d225932432d14081a01d345582	[ "MIT" ]	1	2021-08-09T06:39:59.000Z	2021-08-09T06:39:59.000Z	from selenium.webdriver.common.keys import Keys class HomePage: def __init__(self, driver): self.driver = driver def type_search(self, text): return self.driver.find_element_by_name('g').send_keys(text) def type_enter(self): return self.driver.find_element_by_name('g').send_keys...	23.785714	74	0.705706	48	333	4.604167	0.479167	0.180995	0.144796	0.180995	0.380091	0.380091	0.380091	0.380091	0.380091	0.380091	0	0.186186	333	13	75	25.615385	0.815498	0	0	0	0	0.006006	0	0	0	0	0	0	1	0.375	false	0	0.125	0.25	0.875	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	4
c5c39d6b9fb03292e9f0c616f81f76946445cc4f	272	py	Python	telebot/qclient.py	linyuan0213/qb-bot	be8a172d7d72a7e3878f89ba341c3b5f36e3d76c	[ "MIT" ]	3	2021-08-28T18:14:54.000Z	2022-01-19T18:22:59.000Z	telebot/qclient.py	linyuan0213/qb-bot	be8a172d7d72a7e3878f89ba341c3b5f36e3d76c	[ "MIT" ]	null	null	null	telebot/qclient.py	linyuan0213/qb-bot	be8a172d7d72a7e3878f89ba341c3b5f36e3d76c	[ "MIT" ]	1	2021-07-16T08:37:03.000Z	2021-07-16T08:37:03.000Z	from config.config import conf from qb.qb import QClient host = conf.get_conf()['qbittorrent']['host'] username = conf.get_conf()['qbittorrent']['username'] passwd = conf.get_conf()['qbittorrent']['passwd'] qclient = QClient(host=host, username=username, passwd=passwd)	30.222222	62	0.742647	36	272	5.527778	0.305556	0.105528	0.165829	0.331658	0	0	0	0	0	0	0	0.088235	272	8	63	34	0.802419	0	0	0	0	0.1875	0	0	0	0	0	0	1	0	false	0.333333	0.333333	0	0.333333	0	0	0	0	null	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	0	0	0	4
c5e075efd6a59c752c11306cd2ee9a2d122d6994	312	py	Python	tools_box/_production/doctype/production_yield_control_form/test_production_yield_control_form.py	maisonarmani/Tools-Box	a2226940afdf0291f031008be1af953d2360acdf	[ "MIT" ]	4	2017-09-25T23:34:08.000Z	2020-07-17T23:52:26.000Z	tools_box/_production/doctype/production_yield_control_form/test_production_yield_control_form.py	maisonarmani/Tools-Box	a2226940afdf0291f031008be1af953d2360acdf	[ "MIT" ]	null	null	null	tools_box/_production/doctype/production_yield_control_form/test_production_yield_control_form.py	maisonarmani/Tools-Box	a2226940afdf0291f031008be1af953d2360acdf	[ "MIT" ]	5	2017-06-02T01:58:32.000Z	2022-02-22T16:59:01.000Z	# -- coding: utf-8 -- # Copyright (c) 2015, bobzz.zone@gmail.com and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest # test_records = frappe.get_test_records('Production Yield Control Form') class TestProductionYieldControlForm(unittest.TestCase): pass	24	73	0.788462	39	312	6.102564	0.846154	0.092437	0	0	0	0	0	0	0	0	0.018182	0.11859	312	12	74	26	0.847273	0.535256	0	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.6	0	0.8	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	4
a83f3dff8c73651dfc543b5ea289a0eba94bd146	9,240	py	Python	gpMgmt/bin/gpload_test/gpload2/TEST_local_sql.py	bradfordb-vmware/gpdb	5cc23bd1df4133aaa7a80174f5b0950933a83cc2	[ "PostgreSQL", "Apache-2.0" ]	5,535	2015-10-28T01:05:40.000Z	2022-03-30T13:46:53.000Z	gpMgmt/bin/gpload_test/gpload2/TEST_local_sql.py	bradfordb-vmware/gpdb	5cc23bd1df4133aaa7a80174f5b0950933a83cc2	[ "PostgreSQL", "Apache-2.0" ]	9,369	2015-10-28T07:48:01.000Z	2022-03-31T23:56:42.000Z	gpMgmt/bin/gpload_test/gpload2/TEST_local_sql.py	bradfordb-vmware/gpdb	5cc23bd1df4133aaa7a80174f5b0950933a83cc2	[ "PostgreSQL", "Apache-2.0" ]	1,800	2015-10-28T01:08:25.000Z	2022-03-29T13:29:36.000Z	#!/usr/bin/env pytest from TEST_local_base import write_config_file, psql_run, mkpath from TEST_local_base import prepare_before_test, drop_tables, runfile from TEST_local_base import runfile, copy_data, run @prepare_before_test(num=651,times=1) def test_651_gpload_sql_before_success(): "651 gpload executes `befo...	51.049724	174	0.669805	1,410	9,240	4.220567	0.092908	0.053604	0.033608	0.036969	0.819022	0.807427	0.722064	0.6367	0.629642	0.602756	0.058412	0.195887	9,240	180	175	51.333333	0.74253	0.075216	0.439024	0	0.04878	0.58106	0	0	0	0	0	0	1	0.060976	false	0	0.018293	0	0.079268	0	0	0	0	null	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
a84c6ec8b1a98648ce4d26477ec2a44319274e2b	7,262	py	Python	selenium-test/tests/test_se.py	silinternational/idp-pw-ui	b90bfff31bc260a217ea12ad58c70dcb443b154f	[ "MIT" ]	2	2017-04-03T14:22:35.000Z	2020-07-26T17:59:13.000Z	selenium-test/tests/test_se.py	silinternational/idp-pw-ui	b90bfff31bc260a217ea12ad58c70dcb443b154f	[ "MIT" ]	32	2016-06-03T19:54:24.000Z	2019-07-09T19:15:15.000Z	selenium-test/tests/test_se.py	silinternational/idp-pw-ui	b90bfff31bc260a217ea12ad58c70dcb443b154f	[ "MIT" ]	6	2016-04-11T18:17:03.000Z	2016-07-27T14:18:59.000Z	from .base_test import * import time @on_platforms(browsers) class SeTest(BaseTest): def assertTextByTag(self, tag, text): max_attempts = 60 while (max_attempts > 0): try: name = self.driver.find_element_by_tag_name(tag) assert text in name.text ...	40.569832	86	0.641008	776	7,262	5.860825	0.171392	0.054969	0.052331	0.069261	0.753958	0.730871	0.708883	0.632806	0.615215	0.5719	0.013428	0.241118	7,262	178	87	40.797753	0.811831	0.033049	0.703226	0	0	0.204763	0.011978	0	0	0	0	0.251613	1	0.083871	false	0.070968	0.012903	0	0.129032	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	4
a85bcb25b96b76bab2696a1251b46ec558edcda7	80	py	Python	Pilhas e Listas/05.py	HugoLeda/EstruturaDeDados	ed3b2489b7b1421ca8f8adf580aabaa967cf4a25	[ "MIT" ]	null	null	null	Pilhas e Listas/05.py	HugoLeda/EstruturaDeDados	ed3b2489b7b1421ca8f8adf580aabaa967cf4a25	[ "MIT" ]	null	null	null	Pilhas e Listas/05.py	HugoLeda/EstruturaDeDados	ed3b2489b7b1421ca8f8adf580aabaa967cf4a25	[ "MIT" ]	null	null	null	# 5) Faça um programa que converta um número decimal para binário usando pilhas.	80	80	0.8	13	80	4.923077	0.923077	0	0	0	0	0	0	0	0	0	0.014925	0.1625	80	1	80	80	0.940299	0.975	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
a86871d7f1776679731d9183bfaa9ab5237cdb3d	228	py	Python	clients/serializers.py	cuauhtemoc-amdg/jsgrid-django	b0cf13ebc32d74be53e21090920f870e85418b26	[ "MIT" ]	null	null	null	clients/serializers.py	cuauhtemoc-amdg/jsgrid-django	b0cf13ebc32d74be53e21090920f870e85418b26	[ "MIT" ]	null	null	null	clients/serializers.py	cuauhtemoc-amdg/jsgrid-django	b0cf13ebc32d74be53e21090920f870e85418b26	[ "MIT" ]	null	null	null	from rest_framework import serializers from clients.models import Client class ClientSerializer(serializers.ModelSerializer): class Meta: model = Client fields = ('id', 'name', 'age', 'address', 'married')	25.333333	60	0.701754	24	228	6.625	0.791667	0	0	0	0	0	0	0	0	0	0	0.192982	228	8	61	28.5	0.86413	0	0	0	0	0.100877	0	0	0	0	0	0	1	0	false	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
a872b6ea13362c498e04fa4b9d20204e592c6501	992	py	Python	test/test_advancable_paths.py	techrabbit58/Exercise	3aee04e032652ab570fe1065eef930d7aaaa0361	[ "Unlicense" ]	null	null	null	test/test_advancable_paths.py	techrabbit58/Exercise	3aee04e032652ab570fe1065eef930d7aaaa0361	[ "Unlicense" ]	1	2021-09-19T18:04:40.000Z	2021-09-19T18:50:26.000Z	test/test_advancable_paths.py	techrabbit58/Exercise	3aee04e032652ab570fe1065eef930d7aaaa0361	[ "Unlicense" ]	null	null	null	"""Unit tests for module traversable_paths""" import pytest from traversable_paths import * def test_none_path_gives_type_error(): with pytest.raises(TypeError): is_traversable_path(None) def test_string_in_path_gives_type_error(): with pytest.raises(TypeError): is_traversable_path(['one', ...	22.545455	57	0.714718	154	992	4.246753	0.311688	0.275229	0.233945	0.140673	0.474006	0.474006	0.324159	0.324159	0.324159	0.324159	0.043636	0.168347	992	43	58	23.069767	0.749091	0.058468	0.173913	0	0	0.003233	0	0	0	0	0	0.217391	1	0.347826	true	0	0.086957	0	0.434783	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	0	4
a8a6c374255310b516f210781bbb135075a2bb9d	47	py	Python	code/abc115_a_02.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	3	2019-08-16T16:55:48.000Z	2021-04-11T10:21:40.000Z	code/abc115_a_02.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	code/abc115_a_02.py	KoyanagiHitoshi/AtCoder	731892543769b5df15254e1f32b756190378d292	[ "MIT" ]	null	null	null	D=int(input()) print("Christmas"+" Eve"*(25-D))	23.5	32	0.617021	8	47	3.625	0.875	0	0	0	0	0	0	0	0	0	0.044444	0.042553	47	2	32	23.5	0.6	0	0	0	0	0.270833	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	4
a8b7f4d48819f2cd039d89fa855f5c1a7aca22ab	87	py	Python	emwiki/symbol/apps.py	seigodev/emwiki	4b41d2d74c4937cc3ef2093e6478cfb73e943b7f	[ "MIT" ]	2	2021-12-20T16:37:24.000Z	2021-12-21T00:43:17.000Z	emwiki/symbol/apps.py	seigodev/emwiki	4b41d2d74c4937cc3ef2093e6478cfb73e943b7f	[ "MIT" ]	101	2019-07-29T07:44:56.000Z	2022-03-31T04:11:04.000Z	emwiki/symbol/apps.py	seigodev/emwiki	4b41d2d74c4937cc3ef2093e6478cfb73e943b7f	[ "MIT" ]	11	2019-07-24T02:37:35.000Z	2021-12-09T05:24:31.000Z	from django.apps import AppConfig class SymbolConfig(AppConfig): name = 'symbol'	14.5	33	0.747126	10	87	6.5	0.9	0	0	0	0	0	0	0	0	0	0	0.172414	87	5	34	17.4	0.902778	0	0	0	0	0.068966	0	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
a8ca11c098fdb6d1df73c8a4bec3728b1ae153ae	170	py	Python	day_1/taking_user_input.py	anishLearnsToCode/ml-workshop-wac-2	9992acd30f4b74ce2debf0d5ff3d8a1b78b1163f	[ "MIT" ]	2	2021-01-06T14:20:43.000Z	2021-11-28T15:43:02.000Z	day_1/taking_user_input.py	anishLearnsToCode/ml-workshop-wac-2	9992acd30f4b74ce2debf0d5ff3d8a1b78b1163f	[ "MIT" ]	null	null	null	day_1/taking_user_input.py	anishLearnsToCode/ml-workshop-wac-2	9992acd30f4b74ce2debf0d5ff3d8a1b78b1163f	[ "MIT" ]	1	2021-01-13T14:08:31.000Z	2021-01-13T14:08:31.000Z	first_name = input('First Name:\t') last_name = input('Last Name:\t') # print(first_name) # print(last_name) # string concatenation print(first_name + ' ' + last_name)	18.888889	35	0.705882	25	170	4.56	0.32	0.315789	0.245614	0	0	0	0	0	0	0	0	0.135294	170	8	36	21.25	0.77551	0.323529	0	0	0	0.234234	0	0	0	0	0	0	1	0	false	0	0	0	0	0.333333	1	0	0	null	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
763cc2f3a31f18c3e47e23a4c6fe456c380ba921	13	py	Python	demo2.py	wangganglizejun/demo12	38c54c9d79e5a54811bdce03e8fd6f3d44e11d22	[ "MIT" ]	null	null	null	demo2.py	wangganglizejun/demo12	38c54c9d79e5a54811bdce03e8fd6f3d44e11d22	[ "MIT" ]	null	null	null	demo2.py	wangganglizejun/demo12	38c54c9d79e5a54811bdce03e8fd6f3d44e11d22	[ "MIT" ]	null	null	null	number = 23	4.333333	11	0.615385	2	13	4	1	0	0	0	0	0	0	0	0	0	0.222222	0.307692	13	2	12	6.5	0.666667	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
7661411956af59faa804e7084078d98694904cb9	6,290	py	Python	integration_tests/test_index_datasets_search.py	AMA-AC/datacube-core	0d2fe0792cb9298cc93d1a97bbb921cfa59d6f2d	[ "Apache-2.0" ]	2	2019-10-24T15:29:54.000Z	2019-10-24T15:29:58.000Z	integration_tests/test_index_datasets_search.py	AMA-AC/datacube-core	0d2fe0792cb9298cc93d1a97bbb921cfa59d6f2d	[ "Apache-2.0" ]	2	2021-03-26T00:37:36.000Z	2021-03-31T20:05:01.000Z	integration_tests/test_index_datasets_search.py	PhilipeRLeal/datacube-core	81bed714f2e5cb30a2492f1b0cf3397b79141c3a	[ "Apache-2.0" ]	null	null	null	import pytest from pathlib import PosixPath from integration_tests.test_full_ingestion import ensure_datasets_are_indexed @pytest.mark.parametrize('datacube_env_name', ('datacube',), indirect=True) @pytest.mark.usefixtures('default_metadata_type', 'indexed_ls5_scene_products') def test_index...	48.015267	114	0.539905	631	6,290	5.082409	0.204437	0.043655	0.052385	0.06517	0.732148	0.723729	0.723729	0.723729	0.695666	0.678516	0.015194	0.372178	6,290	130	115	48.384615	0.796911	0.081876	0.686047	0	0	0.087357	0.016325	0	0	0	0	0.174419	1	0.069767	false	0	0.034884	0.023256	0.151163	0	0	0	0	null	0	0	0	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
766e6d653f9d028b2f8227e243e513e9c838fa6c	508	py	Python	tests/src/praxxis/notebook/test_search_notebook.py	blimongi/praxxis	4c2496c89d1d26d01b91896496342ca60f3d15ae	[ "MIT" ]	9	2019-07-31T23:50:16.000Z	2021-08-21T00:43:44.000Z	tests/src/praxxis/notebook/test_search_notebook.py	blimongi/praxxis	4c2496c89d1d26d01b91896496342ca60f3d15ae	[ "MIT" ]	22	2019-08-01T00:37:53.000Z	2020-03-31T05:01:57.000Z	tests/src/praxxis/notebook/test_search_notebook.py	blimongi/praxxis	4c2496c89d1d26d01b91896496342ca60f3d15ae	[ "MIT" ]	7	2020-01-03T02:28:36.000Z	2021-05-13T20:59:19.000Z	def test_search_notebook(setup, add_test_library, library_db, current_scene_db, query_start, query_end): import argparse from src.praxxis.notebook import search_notebook from tests.src.praxxis.util import dummy_object term = dummy_object.make_dummy_search() notebooks = search_notebook.search_noteb...	36.285714	107	0.787402	73	508	5.150685	0.479452	0.18617	0.069149	0.111702	0.218085	0.218085	0.218085	0.218085	0.218085	0	0.004598	0.143701	508	14	108	36.285714	0.85977	0.09252	0	0	0	0	0	0	0	0	0.071429	0.111111	1	0.222222	false	0.111111	0.333333	0	0.555556	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	1	1	0	0	0	4
766fa64a435e43e56b4e19be5a105a1a58fe3654	146	py	Python	hrdc/usage/ordinal.py	fossabot/hrdc	740794c946e8d9f967318b1dfc18085448ca0f0c	[ "MIT" ]	13	2018-04-07T06:10:00.000Z	2022-02-18T04:24:32.000Z	hrdc/usage/ordinal.py	fossabot/hrdc	740794c946e8d9f967318b1dfc18085448ca0f0c	[ "MIT" ]	3	2019-07-29T03:06:07.000Z	2021-10-10T12:20:19.000Z	hrdc/usage/ordinal.py	fossabot/hrdc	740794c946e8d9f967318b1dfc18085448ca0f0c	[ "MIT" ]	4	2019-07-29T03:03:24.000Z	2021-10-10T12:15:25.000Z	from .usage import * def Ordinal(n): return Usage("ordinal.Ordinal(%d)" % int(n), 0xa0000 + int(n), CL) for i in range(128): Ordinal(i)	18.25	70	0.623288	24	146	3.791667	0.666667	0.087912	0	0	0	0	0	0	0	0	0.068376	0.19863	146	7	71	20.857143	0.709402	0	0	0	0	0.130137	0	0	0	0.047945	0	0	1	0.2	false	0	0.2	0.2	0.6	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	1	0	4
767eeb65f416f734e4163d5d4321a116923ad945	225	py	Python	combs/database/__init__.py	npolizzi/Combs	0757aa4c3903f511e779be0fb7fd6851aa3dad51	[ "MIT" ]	6	2020-09-08T08:29:54.000Z	2020-11-11T05:01:21.000Z	combs/database/__init__.py	npolizzi/Combs	0757aa4c3903f511e779be0fb7fd6851aa3dad51	[ "MIT" ]	1	2021-08-23T20:52:11.000Z	2021-08-23T20:52:11.000Z	combs/database/__init__.py	npolizzi/Combs	0757aa4c3903f511e779be0fb7fd6851aa3dad51	[ "MIT" ]	1	2020-11-02T21:06:15.000Z	2020-11-02T21:06:15.000Z	""" docstring """ __all__ = [] from . import stride __all__.append('stride') __all__.extend(stride.__all__) from . import dssp __all__.append('dssp') __all__.extend(dssp.__all__) from . import probe from . import pdbheader	15	30	0.737778	28	225	4.928571	0.357143	0.289855	0.282609	0	0	0	0	0	0	0	0	0.124444	225	15	31	15	0.700508	0.04	0	0	0	0.047847	0	0	0	0	0	0	1	0	false	0	0.444444	0	0.444444	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
76ae74cec1efc3bdec6a0e0eca55467abbd1b956	7,841	py	Python	apysc/__init__.py	simon-ritchie/action-py-script	f502ede320089562d77d13231e85e65b9de64938	[ "MIT" ]	null	null	null	apysc/__init__.py	simon-ritchie/action-py-script	f502ede320089562d77d13231e85e65b9de64938	[ "MIT" ]	16	2021-02-13T05:19:16.000Z	2021-02-23T11:40:18.000Z	apysc/__init__.py	simon-ritchie/action-py-script	f502ede320089562d77d13231e85e65b9de64938	[ "MIT" ]	null	null	null	from apysc._type.int import Int # isort:skip # noqa from apysc._type.number import Number # isort:skip # noqa from apysc._type.number import Number as Float # isort:skip # noqa from apysc._type.boolean import Boolean # isort:skip # noqa from apysc._type.string import String # isort:skip # noqa from apysc._typ...	74.67619	114	0.802959	1,080	7,841	5.580556	0.160185	0.152315	0.22001	0.284885	0.663514	0.659864	0.525303	0.40219	0.271777	0.182346	0.002055	0.131233	7,841	104	115	75.394231	0.882707	0.221018	0	0	0	0.001035	0	0	0	0	0	0.097087	1	0	true	0	0.990291	0	0.990291	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
4f4eb8d8d42224bda168690dfe7b91e40e1b7665	99	py	Python	mixingdrinks/data/secret/rand.py	Kodsport/nova-challenge-2018	e9d5e3d63a79c2191ca55f48438344d8b7719d90	[ "Apache-2.0" ]	1	2019-09-13T13:38:16.000Z	2019-09-13T13:38:16.000Z	mixingdrinks/data/secret/rand.py	Kodsport/nova-challenge-2018	e9d5e3d63a79c2191ca55f48438344d8b7719d90	[ "Apache-2.0" ]	null	null	null	mixingdrinks/data/secret/rand.py	Kodsport/nova-challenge-2018	e9d5e3d63a79c2191ca55f48438344d8b7719d90	[ "Apache-2.0" ]	null	null	null	import random print(100000, 99999) for i in range(1,100000): print(i + 1, random.randint(1,i))	19.8	37	0.686869	18	99	3.777778	0.611111	0	0	0	0	0	0	0	0	0	0.240964	0.161616	99	4	38	24.75	0.578313	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0.5	1	0	0	null	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	4
4f62ec8f0096a9cf6f0ceb1476f6e4f48e957d40	173	py	Python	Aula01.py	Gaybrou/V-tor	fbcf3a32b89381720a6f837bcdab613300fff82b	[ "MIT" ]	null	null	null	Aula01.py	Gaybrou/V-tor	fbcf3a32b89381720a6f837bcdab613300fff82b	[ "MIT" ]	null	null	null	Aula01.py	Gaybrou/V-tor	fbcf3a32b89381720a6f837bcdab613300fff82b	[ "MIT" ]	null	null	null	print(' Bem-vindo(a)') a = str(input('Qual é o seu nome ? ')) print('Parabés {}, você acabou de entrar no mundo python'.format(a))	57.666667	68	0.49711	23	173	3.73913	0.869565	0	0	0	0	0	0	0	0	0	0	0.358382	173	3	68	57.666667	0.774775	0	0	0	0	0.715116	0	0	0	0	0	0	1	0	false	0	0	0	0	0.666667	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	0	0	1	4
4f7abcf63b276f349e638cb21dece1a96ff86ee3	22	py	Python	cufflinks/version.py	repath/cufflinks	457b5bba646ded2591b9076bca72d64ac4824092	[ "MIT" ]	null	null	null	cufflinks/version.py	repath/cufflinks	457b5bba646ded2591b9076bca72d64ac4824092	[ "MIT" ]	null	null	null	cufflinks/version.py	repath/cufflinks	457b5bba646ded2591b9076bca72d64ac4824092	[ "MIT" ]	null	null	null	__version__ = "0.17.2"	22	22	0.681818	4	22	2.75	1	0	0	0	0	0	0	0	0	0	0.2	0.090909	22	1	22	22	0.35	0	0	0	0	0.26087	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
4f94db0c0ba03e8d1e7e6958646d0e92c6c27c19	259	py	Python	django_sendgrid_tracking/admin.py	MattFanto/django-sendgrid-tracking	9438a8146a6522654bbd9e56d98555ab1b5374c6	[ "MIT" ]	5	2020-08-29T19:00:10.000Z	2020-10-20T00:11:27.000Z	django_sendgrid_tracking/admin.py	MattFanto/django-sendgrid-tracking	9438a8146a6522654bbd9e56d98555ab1b5374c6	[ "MIT" ]	3	2020-08-30T10:32:59.000Z	2020-12-17T23:08:12.000Z	django_sendgrid_tracking/admin.py	MattFanto/django-sendgrid-tracking	9438a8146a6522654bbd9e56d98555ab1b5374c6	[ "MIT" ]	null	null	null	from django.contrib import admin # Register your models here. from django_sendgrid_tracking.models import MailCategory, SentMail, SendGridNotification admin.site.register(MailCategory) admin.site.register(SentMail) admin.site.register(SendGridNotification)	28.777778	88	0.853282	30	259	7.3	0.5	0.123288	0.232877	0	0	0	0	0	0	0	0	0.07722	259	8	89	32.375	0.916318	0.100386	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	0	0	0	null	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
96d0ae08fb92cb1f3c57ef6da7582813f36bb41e	146,599	py	Python	app/script/genreClusterer.py	VanBronckhorst/VizProject3	b380cdca4f7dddbfc2297d2bfd3fb8912d9d4362	[ "Apache-2.0" ]	null	null	null	app/script/genreClusterer.py	VanBronckhorst/VizProject3	b380cdca4f7dddbfc2297d2bfd3fb8912d9d4362	[ "Apache-2.0" ]	null	null	null	app/script/genreClusterer.py	VanBronckhorst/VizProject3	b380cdca4f7dddbfc2297d2bfd3fb8912d9d4362	[ "Apache-2.0" ]	null	null	null	__author__ = 'Filippo' from urllib2 import Request, urlopen, URLError ''' genresSim = {} print len(allGenres) keys= ['CFLBFVAPYPMUYTTSR','QVJX27LZP1Q9GYBYV','45PFVVAQZQJD5BIV5','PKT63BEXLXWEDVVKE','ZTFPNPKXWOQAHAG2G']; request = Request('http://developer.echonest.com/api/v4/genre/similar?api_key='+keys[0]+'&name=har...	1,423.291262	108,233	0.647815	17,362	146,599	5.469358	0.055178	0.012258	0.003896	0.002527	0.347339	0.279995	0.222106	0.178172	0.149801	0.107215	0.000485	0.114803	146,599	103	108,234	1,423.291262	0.731269	0	0.238095	0	0	0.695059	0.000605	0	0	0	0	0	0	null	null	0	0.047619	null	null	0.071429	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	0	null	0	0	0	1	0	0	0	0	0	0	0	4
96d907dfebe3e46b72025fb593dde764217cc9d2	337	py	Python	docs/user_guide/operation/scripts/examples/argus/extraction/jan/EvacPipette1_2.py	ASUPychron/pychron	dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76	[ "Apache-2.0" ]	31	2016-03-07T02:38:17.000Z	2022-02-14T18:23:43.000Z	docs/user_guide/operation/scripts/examples/argus/extraction/jan/EvacPipette1_2.py	ASUPychron/pychron	dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76	[ "Apache-2.0" ]	1,626	2015-01-07T04:52:35.000Z	2022-03-25T19:15:59.000Z	docs/user_guide/operation/scripts/examples/argus/extraction/jan/EvacPipette1_2.py	UIllinoisHALPychron/pychron	f21b79f4592a9fb9dc9a4cb2e4e943a3885ededc	[ "Apache-2.0" ]	26	2015-05-23T00:10:06.000Z	2022-03-07T16:51:57.000Z	''' ''' def main(): info('Evacuate Pipettes 1 and 2') open(description='Microbone to Turbo') open(description='Microbone to Minibone') close(description='Inner Pipette 1') close(description='Inner Pipette 2') sleep(1) open(description='Outer Pipette 1') open(description='Outer Pipette ...	24.071429	45	0.664688	42	337	5.333333	0.47619	0.267857	0.214286	0.232143	0.25	0	0	0	0	0	0.03321	0.195846	337	14	46	24.071429	0.793358	0	0	0	0	0.375758	0	0	0	0	0	0	1	0.1	true	0	0	0	0.1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
96dc0dc03caba4521daf2794af017aa3ae215ce6	344	py	Python	src/api/v1/serializers/subregions.py	pyn4rc/improved-engine	b1b9b9fafc0381bd75cdb7829fe747203a097a5d	[ "MIT" ]	null	null	null	src/api/v1/serializers/subregions.py	pyn4rc/improved-engine	b1b9b9fafc0381bd75cdb7829fe747203a097a5d	[ "MIT" ]	5	2021-03-19T08:43:05.000Z	2022-02-10T10:17:16.000Z	src/api/v1/serializers/subregions.py	pyn4rc/improved-engine	b1b9b9fafc0381bd75cdb7829fe747203a097a5d	[ "MIT" ]	null	null	null	from cities.models import Subregion from rest_framework import serializers class SubregionSerializerV1(serializers.ModelSerializer): class Meta: model = Subregion fields = '__all__' class SubregionListSerializerV1(serializers.ModelSerializer): class Meta: model = Subregion fi...	22.933333	61	0.712209	31	344	7.741935	0.580645	0.216667	0.258333	0.291667	0.458333	0.458333	0.458333	0	0	0	0.007407	0.215116	344	14	62	24.571429	0.881481	0	0.4	0	0	0.037791	0	0	0	0	0	0	1	0	false	0	0.2	0	0.6	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	4
96e7f823c0b4ff4dd9457e3d97239dcfeebfee34	232	py	Python	pyso3/generate.py	hoj201/pyso3	e6888dba39a54740bff41a8bfec88d85b2285380	[ "MIT" ]	null	null	null	pyso3/generate.py	hoj201/pyso3	e6888dba39a54740bff41a8bfec88d85b2285380	[ "MIT" ]	null	null	null	pyso3/generate.py	hoj201/pyso3	e6888dba39a54740bff41a8bfec88d85b2285380	[ "MIT" ]	null	null	null	def generate_random_rot(): """ generate a random rotation wrt the Haar measure """ from pyso3.quaternion import quat2rot import numpy as np q = np.random.randn(4) q = q / np.linalg.norm(q) return quat2rot(q)	29	59	0.668103	35	232	4.371429	0.685714	0.039216	0	0	0	0	0	0	0	0	0.022472	0.232759	232	7	60	33.142857	0.837079	0.202586	0	1	0	0	0	0	0	0	0	0	1	0.166667	false	0	0.333333	0	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
96fe76dae41e48973f14a6124e90bb33002166c0	50	py	Python	terraform_builder/specs/filters/__init__.py	mrlesmithjr/terraform-builder	08ed71333e988682ce50c6ef865fdd8ba27de395	[ "MIT" ]	7	2020-03-21T20:40:50.000Z	2022-02-17T17:17:53.000Z	terraform_builder/specs/filters/__init__.py	mrlesmithjr/terraform-builder	08ed71333e988682ce50c6ef865fdd8ba27de395	[ "MIT" ]	39	2020-03-24T04:37:21.000Z	2020-06-17T04:20:22.000Z	terraform_builder/specs/filters/__init__.py	mrlesmithjr/terraform-builder	08ed71333e988682ce50c6ef865fdd8ba27de395	[ "MIT" ]	null	null	null	"""terraform_builder/specs/filters/__init__.py"""	25	49	0.78	6	50	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.02	50	1	50	50	0.693878	0.86	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
8c1caa5f23ff0ec59050bc02dabbfdeac478fbb3	108	py	Python	tests/cases/run/math2.py	3e45/minpiler	993bdb38d1e4709a412bb551f7eb213376bfe7d2	[ "MIT" ]	null	null	null	tests/cases/run/math2.py	3e45/minpiler	993bdb38d1e4709a412bb551f7eb213376bfe7d2	[ "MIT" ]	5	2022-02-12T19:53:08.000Z	2022-03-02T04:30:32.000Z	tests/cases/run/math2.py	3e45/minpiler	993bdb38d1e4709a412bb551f7eb213376bfe7d2	[ "MIT" ]	null	null	null	from minpiler.std import M, emulator M.print(M.math.abs(-6), ' ', M.math.sin(90)) emulator.kill() # > 6 1	15.428571	44	0.638889	20	108	3.45	0.7	0.144928	0	0	0	0	0	0	0	0	0.054348	0.148148	108	6	45	18	0.695652	0.046296	0	0	0	0.009901	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0.333333	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
8c2ee6fe9ecb0d3f5945ae8926a8ff5682d67c81	6,540	py	Python	model.py	gouxiangchen/auto-encoder	ca095d4b9e4a856c1ee9f34aec7b852b3bc6154b	[ "Apache-2.0" ]	null	null	null	model.py	gouxiangchen/auto-encoder	ca095d4b9e4a856c1ee9f34aec7b852b3bc6154b	[ "Apache-2.0" ]	null	null	null	model.py	gouxiangchen/auto-encoder	ca095d4b9e4a856c1ee9f34aec7b852b3bc6154b	[ "Apache-2.0" ]	null	null	null	import torch.nn as nn class MNIST_Encoder(nn.Module): def __init__(self, input_dim=784, output_dim=5): super(MNIST_Encoder, self).__init__() self.fc1 = nn.Linear(input_dim, 1024) self.relu1 = nn.ReLU() self.fc2 = nn.Linear(1024, 256) self.relu2 = nn.ReLU() self.fc3 ...	33.19797	106	0.596789	967	6,540	3.857291	0.075491	0.0563	0.046649	0.09008	0.804558	0.758981	0.725469	0.669705	0.638338	0.634584	0.071841	0.259327	6,540	196	107	33.367347	0.698183	0.018349	0.619632	0	0	0	0	0	0	0	0	0	1	0.09816	false	0	0.006135	0	0.202454	0	0	0	0	null	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
8c3fdeab87b335f3fa9c157724b2906c2c5ab06d	117	py	Python	Scrapy_CGZXW/main.py	oxenoxeno/Scrapy_CGZXW_git	320d00fa023698c1631fa440f18b6a018f0e85c0	[ "MIT" ]	1	2017-07-07T02:58:21.000Z	2017-07-07T02:58:21.000Z	Scrapy_CGZXW/main.py	oxenoxeno/Scrapy_CGZXW_git	320d00fa023698c1631fa440f18b6a018f0e85c0	[ "MIT" ]	null	null	null	Scrapy_CGZXW/main.py	oxenoxeno/Scrapy_CGZXW_git	320d00fa023698c1631fa440f18b6a018f0e85c0	[ "MIT" ]	null	null	null	# coding:utf-8 from scrapy import cmdline cmdline.execute("scrapy crawl cgzxw".split())	3.545455	45	0.581197	13	117	5.230769	0.846154	0	0	0	0	0	0	0	0	0	0.012658	0.324786	117	32	46	3.65625	0.848101	0.102564	0	0	0	0.24	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
8c5e2f2c9f47cd7b5c770f9ca2fb89a049916fd5	702	py	Python	promsnaps/jobs/job_base.py	ant31/prombench	8f676e2654a7477e2bf0b39930fd599f75828612	[ "Apache-2.0" ]	null	null	null	promsnaps/jobs/job_base.py	ant31/prombench	8f676e2654a7477e2bf0b39930fd599f75828612	[ "Apache-2.0" ]	null	null	null	promsnaps/jobs/job_base.py	ant31/prombench	8f676e2654a7477e2bf0b39930fd599f75828612	[ "Apache-2.0" ]	null	null	null	from __future__ import absolute_import from celery import Task from celery.utils.log import get_task_logger logger = get_task_logger(__name__) class JobBase(Task): def after_return(self, status, retval, task_id, args, kwargs, einfo): pass def on_failure(self, exc, task_id, args, kwargs, einfo): ...	26	74	0.683761	103	702	4.359223	0.368932	0.053452	0.089087	0.142539	0.507795	0.445434	0.445434	0.445434	0.378619	0.378619	0.003623	0.213675	702	26	75	27	0.809783	0	0.222222	0	0	0.022792	0	0	0	0	0	0	1	0.333333	false	0.222222	0.166667	0.111111	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	1	0	4
8c5e7d8ca4ce8675038a489c85e8c26ac5b14261	128	py	Python	maru/grammeme/voice.py	chomechome/maru	dae41e250a64a8b6f6ab9647fd60221d5ede8ab6	[ "MIT" ]	47	2018-09-25T05:17:13.000Z	2022-03-31T09:27:15.000Z	maru/grammeme/voice.py	ojomio/maru	7a44be7f974c0962f3023f5d064a391d2b4f20b1	[ "MIT" ]	2	2019-11-26T08:48:54.000Z	2020-09-10T10:00:39.000Z	maru/grammeme/voice.py	ojomio/maru	7a44be7f974c0962f3023f5d064a391d2b4f20b1	[ "MIT" ]	5	2019-01-05T17:36:23.000Z	2021-06-29T08:55:24.000Z	from maru.grammeme.abstract import Grammeme class Voice(Grammeme): ACTIVE = 'Act' MIDDLE = 'Mid' PASSIVE = 'Pass'	16	43	0.664063	15	128	5.666667	0.866667	0	0	0	0	0	0	0	0	0	0	0.226563	128	7	44	18.285714	0.858586	0	0	0	0	0.078125	0	0	0	0	0	0	1	0	false	0.2	0.2	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	1	0	4
4fd17dbb9686cabf4513a898cdf1c159b3e8fe1a	116	py	Python	src/config/api-server/vnc_cfg_api_server/tests/__init__.py	jnpr-pranav/contrail-controller	428eee37c28c31830fd764315794e1a6e52720c1	[ "Apache-2.0" ]	37	2020-09-21T10:42:26.000Z	2022-01-09T10:16:40.000Z	src/config/api-server/vnc_cfg_api_server/tests/__init__.py	jnpr-pranav/contrail-controller	428eee37c28c31830fd764315794e1a6e52720c1	[ "Apache-2.0" ]	null	null	null	src/config/api-server/vnc_cfg_api_server/tests/__init__.py	jnpr-pranav/contrail-controller	428eee37c28c31830fd764315794e1a6e52720c1	[ "Apache-2.0" ]	21	2020-08-25T12:48:42.000Z	2022-03-22T04:32:18.000Z	# # Copyright (c) 2018 Juniper Networks, Inc. All rights reserved. # from gevent import monkey monkey.patch_all()	14.5	64	0.741379	16	116	5.3125	0.875	0	0	0	0	0	0	0	0	0	0.041237	0.163793	116	7	65	16.571429	0.835052	0.534483	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	4
4fddb7bbc190f9172907d96985d4f9f63d7c0b06	146	py	Python	__init__.py	malgulam/PyGit	67976deb9baec597349587e73a8b0bbc1fe81cae	[ "MIT" ]	null	null	null	__init__.py	malgulam/PyGit	67976deb9baec597349587e73a8b0bbc1fe81cae	[ "MIT" ]	null	null	null	__init__.py	malgulam/PyGit	67976deb9baec597349587e73a8b0bbc1fe81cae	[ "MIT" ]	2	2020-10-11T18:54:40.000Z	2021-03-18T04:56:05.000Z	#PyGit __init__.py from .__version__ import __version__ import sys sys.path.append('.') from py_git import pygit initialise = pygit.initialise()	18.25	36	0.787671	20	146	5.1	0.55	0.254902	0	0	0	0	0	0	0	0	0	0.116438	146	7	37	20.857143	0.790698	0.116438	0	0	0	0.007874	0	0	0	0	0	0	1	0	false	0	0.6	0	0.6	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
8b1f2ac18ce82d2486287e5867bc5e05876d9fd0	746	py	Python	geneticalgorithm/elitism.py	grajekf/wae-2018	609423ad5a6431da3cc481aedfe23c5fdd156373	[ "MIT" ]	null	null	null	geneticalgorithm/elitism.py	grajekf/wae-2018	609423ad5a6431da3cc481aedfe23c5fdd156373	[ "MIT" ]	null	null	null	geneticalgorithm/elitism.py	grajekf/wae-2018	609423ad5a6431da3cc481aedfe23c5fdd156373	[ "MIT" ]	null	null	null	from geneticalgorithm.layer import Layer from heapq import nlargest class ElitismLayer(Layer): def __init__(self, inputs, elitism_count, name = None, save_inputs=False): super(ElitismLayer, self).__init__(inputs, name, save_inputs) self.elitism_count = elitism_count def _dowork(self, popul...	33.909091	109	0.646113	88	746	5.238636	0.431818	0.208243	0.138829	0.099783	0.121475	0	0	0	0	0	0.003623	0.260054	746	22	110	33.909091	0.831522	0	0	0	0	0.034806	0	0	0	0	0	0	1	0.222222	false	0	0.111111	0.111111	0.555556	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	4
8c883e7f551569cddd35555d8bc5a6dc3b43a702	101	py	Python	test.py	junaid1460/me_solving_problems	c81b7263f1ac112f901732d4c4b31022532fc091	[ "MIT" ]	null	null	null	test.py	junaid1460/me_solving_problems	c81b7263f1ac112f901732d4c4b31022532fc091	[ "MIT" ]	null	null	null	test.py	junaid1460/me_solving_problems	c81b7263f1ac112f901732d4c4b31022532fc091	[ "MIT" ]	null	null	null	import os import time start = time.time() input() end = time.time() print("duration:", end - start)	12.625	31	0.673267	15	101	4.533333	0.533333	0.235294	0	0	0	0	0	0	0	0	0	0.158416	101	8	31	12.625	0.8	0	0	0	0	0.088235	0	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0.166667	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
8c8b3fa9b6032ae30384a3be05a9a1d2d6fcab61	1,101	py	Python	cauldron/session/writing/components/__init__.py	DanMayhew/cauldron	ac41481830fc1a363c145f4b58ce785aac054d10	[ "MIT" ]	null	null	null	cauldron/session/writing/components/__init__.py	DanMayhew/cauldron	ac41481830fc1a363c145f4b58ce785aac054d10	[ "MIT" ]	null	null	null	cauldron/session/writing/components/__init__.py	DanMayhew/cauldron	ac41481830fc1a363c145f4b58ce785aac054d10	[ "MIT" ]	null	null	null	from cauldron.session import projects from cauldron.session.writing.components import bokeh_component from cauldron.session.writing.components import definitions from cauldron.session.writing.components import plotly_component from cauldron.session.writing.components import project_component from cauldron.session.writi...	30.583333	72	0.756585	126	1,101	6.460317	0.261905	0.117936	0.186732	0.223587	0.443489	0.443489	0.340295	0.152334	0	0	0	0.161671	1,101	35	73	31.457143	0.881907	0.019074	0	0	0	0.029356	0	0	0	0	0	0	1	0.1	false	0	0.4	0	0.7	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
8c8e30188658761e49b96a5f778d969c658ad477	95	py	Python	maya/precomp.py	arjun-namdeo/py_stubs	605bb167e239978f5417f3f1fc1f5c12e2a243cc	[ "MIT" ]	null	null	null	maya/precomp.py	arjun-namdeo/py_stubs	605bb167e239978f5417f3f1fc1f5c12e2a243cc	[ "MIT" ]	null	null	null	maya/precomp.py	arjun-namdeo/py_stubs	605bb167e239978f5417f3f1fc1f5c12e2a243cc	[ "MIT" ]	null	null	null	tempPrecompFilePath = '/var/folders/8l/_gxk_gxx4xxdrfc27y0fjj0r0000zg/T/tmpelfdzy.precomp'	15.833333	90	0.821053	9	95	8.444444	1	0	0	0	0	0	0	0	0	0	0.113636	0.073684	95	5	91	19	0.75	0	0	0	0	0.725275	0.725275	0	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	0	4
8ca52d532b9617c910a54ee6cd5e741ef337673d	1,002	py	Python	graphdata/shared/figsizes.py	whalenpt/graphdata	d169150f860551d2049342ecf310dc1783987266	[ "MIT" ]	null	null	null	graphdata/shared/figsizes.py	whalenpt/graphdata	d169150f860551d2049342ecf310dc1783987266	[ "MIT" ]	null	null	null	graphdata/shared/figsizes.py	whalenpt/graphdata	d169150f860551d2049342ecf310dc1783987266	[ "MIT" ]	null	null	null	from graphdata import configs def PlotSize(figsize): if figsize is not None: return figsize return (float(configs._G['PlotWidth']),float(configs._G['PlotHeight'])) def SemilogySize(figsize): if figsize is not None: return figsize return (float(configs._G['SemilogyWidth']),float(con...	27.081081	85	0.690619	118	1,002	5.762712	0.262712	0.211765	0.229412	0.158824	0.502941	0.502941	0.502941	0.502941	0.502941	0.502941	0	0.183633	1,002	36	86	27.833333	0.831296	0	0.48	0	0	0.150301	0	0	0	0	0	0	1	0.24	false	0	0.04	0	0.76	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	4
8cb5cded29c718ad937bdde1113aa2dd71f71a45	11	py	Python	codejail/tests/pylib/module.py	msegado/codejail	9c4cac1eb19cb05fa03fd163cef348331e00820c	[ "Apache-2.0" ]	245	2015-01-29T16:28:33.000Z	2022-01-12T17:08:46.000Z	codejail/tests/pylib/module.py	msegado/codejail	9c4cac1eb19cb05fa03fd163cef348331e00820c	[ "Apache-2.0" ]	62	2015-01-01T13:23:43.000Z	2022-01-11T22:04:14.000Z	codejail/tests/pylib/module.py	msegado/codejail	9c4cac1eb19cb05fa03fd163cef348331e00820c	[ "Apache-2.0" ]	50	2015-01-26T14:41:28.000Z	2021-12-08T15:12:47.000Z	const = 42	5.5	10	0.636364	2	11	3.5	1	0	0	0	0	0	0	0	0	0	0.25	0.272727	11	1	11	11	0.625	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
8cf4730f1b3b6bea899c0dc1e839806daca56bbb	760	py	Python	applications/adminportal/models.py	samay-rgb/alumni	f147ca04c3b9e24307321df5f26e9f7db26fefe3	[ "MIT" ]	5	2019-10-15T14:48:39.000Z	2022-02-19T05:14:51.000Z	applications/adminportal/models.py	samay-rgb/alumni	f147ca04c3b9e24307321df5f26e9f7db26fefe3	[ "MIT" ]	10	2019-12-14T06:08:30.000Z	2022-03-13T16:01:05.000Z	applications/adminportal/models.py	samay-rgb/alumni	f147ca04c3b9e24307321df5f26e9f7db26fefe3	[ "MIT" ]	10	2019-10-06T13:45:25.000Z	2022-02-10T17:33:39.000Z	from django.db import models # Create your models here. class EmailTemplate(models.Model): template_id = models.CharField(max_length=50, unique=True) name = models.CharField(max_length=100) subject = models.CharField(max_length=500) body = models.TextField() def __str__(self): return self....	29.230769	62	0.734211	94	760	5.702128	0.468085	0.195896	0.235075	0.313433	0.326493	0	0	0	0	0	0.031696	0.169737	760	25	63	30.4	0.81775	0.031579	0.111111	0	0	0	0	0	0	0	0	0	1	0.111111	false	0	0.055556	0.111111	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	1	0	4
8cff210189f75040b6df3afe7e0aa617b2897936	355	py	Python	migrations/versions/49d44a0167b_initial.py	fnkr/poss	792369f95eb46227d5a4a78ac7d952f70c3c0799	[ "MIT" ]	2	2020-11-02T07:04:14.000Z	2021-06-26T04:15:00.000Z	migrations/versions/49d44a0167b_initial.py	fnkr/poss	792369f95eb46227d5a4a78ac7d952f70c3c0799	[ "MIT" ]	24	2019-09-27T20:44:06.000Z	2021-11-12T04:12:06.000Z	migrations/versions/49d44a0167b_initial.py	fnkr/POSS	792369f95eb46227d5a4a78ac7d952f70c3c0799	[ "MIT" ]	2	2019-10-22T22:12:39.000Z	2020-07-06T12:18:03.000Z	"""initial Revision ID: 49d44a0167b Revises: None Create Date: 2014-10-15 11:11:47.705014 """ # revision identifiers, used by Alembic. revision = '49d44a0167b' down_revision = None from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import mysql def upgrade(): ...	19.722222	42	0.673239	44	355	5.409091	0.704545	0	0	0	0	0	0	0	0	0	0.134831	0.247887	355	18	43	19.722222	0.756554	0.369014	0.222222	0	0	0.055838	0	0	0	0	0	0	1	0.222222	false	0.222222	0.333333	0	0.555556	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	1	0	1	0	4
5069be990c20582fbcf7047d4e0b766b8145ff4e	136	py	Python	cs-2018-08-19-co-je-noveho-v-pythonu-3-7/module-getattr.py	etjernst/blog	2dcba33cf08be528f18acd242d375aa52e64b30b	[ "BSD-3-Clause" ]	83	2016-04-10T02:26:19.000Z	2021-09-21T07:30:01.000Z	cs-2018-08-19-co-je-noveho-v-pythonu-3-7/module-getattr.py	etjernst/blog	2dcba33cf08be528f18acd242d375aa52e64b30b	[ "BSD-3-Clause" ]	1	2016-09-02T09:40:55.000Z	2016-09-02T09:40:55.000Z	cs-2018-08-19-co-je-noveho-v-pythonu-3-7/module-getattr.py	etjernst/blog	2dcba33cf08be528f18acd242d375aa52e64b30b	[ "BSD-3-Clause" ]	61	2016-06-08T15:43:43.000Z	2021-12-26T15:05:04.000Z	#!/usr/bin/env python3 import logging def __getattr__(attr_name): logging.info(f'accessed {attr_name}') globals()[attr_name]	15.111111	41	0.713235	19	136	4.736842	0.736842	0.266667	0	0	0	0	0	0	0	0	0.008621	0.147059	136	8	42	17	0.767241	0.154412	0	0	0	0.175439	0	0	0	0	0	0	1	0.25	false	0	0.25	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	0	4
506f0bab51e19e8b84e8b7989acadd5ab5d365f1	168	py	Python	ignite/metrics/nlp/__init__.py	Juddd/ignite	00a208a4e7a7783e9ddac18931085fca2f0dec47	[ "BSD-3-Clause" ]	4,119	2017-11-23T18:10:37.000Z	2022-03-31T05:31:27.000Z	ignite/metrics/nlp/__init__.py	Juddd/ignite	00a208a4e7a7783e9ddac18931085fca2f0dec47	[ "BSD-3-Clause" ]	1,838	2017-11-24T11:19:25.000Z	2022-03-31T09:08:18.000Z	ignite/metrics/nlp/__init__.py	Juddd/ignite	00a208a4e7a7783e9ddac18931085fca2f0dec47	[ "BSD-3-Clause" ]	691	2017-11-24T10:57:33.000Z	2022-03-29T02:19:44.000Z	from ignite.metrics.nlp.bleu import Bleu from ignite.metrics.nlp.rouge import Rouge, RougeL, RougeN __all__ = [ "Bleu", "Rouge", "RougeN", "RougeL", ]	16.8	58	0.654762	21	168	5.047619	0.47619	0.188679	0.320755	0.377358	0	0	0	0	0	0	0	0.208333	168	9	59	18.666667	0.796992	0	0	0	0	0.125	0	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0	1	0	0	null	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	4
50a89217bdabf3306acc7681f4a1d2f95c6f038b	92	py	Python	city_housing_index/init_data/apps.py	Sinope-Nanto/city_house	73589bb07c415b1deecf8a0618b79d376d5a6e88	[ "MIT" ]	null	null	null	city_housing_index/init_data/apps.py	Sinope-Nanto/city_house	73589bb07c415b1deecf8a0618b79d376d5a6e88	[ "MIT" ]	null	null	null	city_housing_index/init_data/apps.py	Sinope-Nanto/city_house	73589bb07c415b1deecf8a0618b79d376d5a6e88	[ "MIT" ]	1	2021-05-05T13:13:56.000Z	2021-05-05T13:13:56.000Z	from django.apps import AppConfig class InitDataConfig(AppConfig): name = 'init_data'	15.333333	33	0.76087	11	92	6.272727	0.909091	0	0	0	0	0	0	0	0	0	0	0.163043	92	5	34	18.4	0.896104	0	0	0	0	0.097826	0	0	0	0	0	0	1	0	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
50b0f2fd7f621be0a1ace3916c585165899d142e	42	py	Python	sobol/__init__.py	DavidWalz/sobol	c8db4bc6107bcf59796229c2b6e60a1a648c2f22	[ "MIT" ]	4	2021-06-02T01:42:18.000Z	2022-02-25T16:26:20.000Z	sobol/__init__.py	DavidWalz/sobol	c8db4bc6107bcf59796229c2b6e60a1a648c2f22	[ "MIT" ]	1	2021-08-16T18:07:06.000Z	2021-08-29T05:16:53.000Z	sobol/__init__.py	DavidWalz/sobol	c8db4bc6107bcf59796229c2b6e60a1a648c2f22	[ "MIT" ]	3	2020-04-22T18:58:48.000Z	2021-08-18T12:05:42.000Z	from .sobol import * __version__ = "0.2"	10.5	20	0.666667	6	42	4	1	0	0	0	0	0	0	0	0	0	0.058824	0.190476	42	3	21	14	0.647059	0	0	0	0	0.071429	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	4
50b1b3c17d776f07c3f118b5eb534896039ee2f5	2,392	py	Python	comments/queries.py	Vergenter/youtubeGather	d81912784f246b847e54d902a51dde0991fcc1bf	[ "MIT" ]	null	null	null	comments/queries.py	Vergenter/youtubeGather	d81912784f246b847e54d902a51dde0991fcc1bf	[ "MIT" ]	null	null	null	comments/queries.py	Vergenter/youtubeGather	d81912784f246b847e54d902a51dde0991fcc1bf	[ "MIT" ]	null	null	null	from datetime import datetime from utils.types import CommentId, VideoId def to_update_videos(update: datetime): def channel_id_to_update(video_id: VideoId): return (video_id, update) return channel_id_to_update videos_to_update_query = 'select video_id,max(update) from comments.videos_comments wher...	32.767123	200	0.760033	307	2,392	5.788274	0.224756	0.061902	0.055149	0.0287	0.74395	0.70906	0.691052	0.668542	0.668542	0.617895	0.003848	0.130853	2,392	72	201	33.222222	0.85089	0	0.753846	0	0.015385	0.824415	0.29097	0	0	0	0	0	1	0.030769	false	0	0.030769	0.015385	0.092308	0	0	0	0	null	0	0	0	0	1	0	0	1	0	0	0	0	0	0	1	0	1	0	null	0	0	0	0	0	0	0	0	0	0	0	4
0f9c322fd1a44669ac22929d9e7eebd70021f9ba	27	py	Python	python/testData/psi/RaiseFrom.py	jnthn/intellij-community	8fa7c8a3ace62400c838e0d5926a7be106aa8557	[ "Apache-2.0" ]	2	2019-04-28T07:48:50.000Z	2020-12-11T14:18:08.000Z	python/testData/psi/RaiseFrom.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	173	2018-07-05T13:59:39.000Z	2018-08-09T01:12:03.000Z	python/testData/psi/RaiseFrom.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	2	2020-03-15T08:57:37.000Z	2020-04-07T04:48:14.000Z	raise SyntaxError from exc	13.5	26	0.851852	4	27	5.75	1	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	1	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
0fa653815b04138a22d0ad5d05ce28c0b06e3c6e	78	py	Python	src/testcode/mycode.py	Data-Mastery/Automated-Testing	8399089f72463955840e070aadac2da013735ebd	[ "MIT" ]	null	null	null	src/testcode/mycode.py	Data-Mastery/Automated-Testing	8399089f72463955840e070aadac2da013735ebd	[ "MIT" ]	null	null	null	src/testcode/mycode.py	Data-Mastery/Automated-Testing	8399089f72463955840e070aadac2da013735ebd	[ "MIT" ]	null	null	null	"""Functions to do math""" def do_math(a, b): print(a) return a + b	11.142857	26	0.551282	14	78	3	0.642857	0.285714	0	0	0	0	0	0	0	0	0	0.282051	78	6	27	13	0.75	0.25641	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0	0.666667	0.333333	1	0	0	null	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	0	4
0fdf0f2f9efebb6d659c8aefc4173431aa3acbd3	67	py	Python	error/element/exception.py	wuranxu/webTest	3bb52bda384becc6e2d1bc770d1beb2480fce916	[ "Apache-2.0" ]	53	2018-03-04T14:50:08.000Z	2022-02-15T03:25:18.000Z	error/element/exception.py	wuranxu/webTest	3bb52bda384becc6e2d1bc770d1beb2480fce916	[ "Apache-2.0" ]	6	2018-06-22T07:51:23.000Z	2021-07-03T04:50:27.000Z	error/element/exception.py	wuranxu/webTest	3bb52bda384becc6e2d1bc770d1beb2480fce916	[ "Apache-2.0" ]	40	2018-04-24T13:28:30.000Z	2022-02-28T09:00:23.000Z	""" element 异常处理 """ class ElementException(Exception): pass	8.375	34	0.671642	6	67	7.5	1	0	0	0	0	0	0	0	0	0	0	0.19403	67	7	35	9.571429	0.833333	0.179104	0	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	0	0	0	4
ba09d0391f8f17088ee245d113209e2e645d8495	92	py	Python	_archive/kerokero_shakuri/kerokero_shakuri.py	oatsu-gh/utau-plugins	c742ed09f6dae3b52d2d1679890194add56f0fd9	[ "Beerware" ]	1	2021-08-31T00:51:48.000Z	2021-08-31T00:51:48.000Z	_archive/kerokero_shakuri/kerokero_shakuri.py	oatsu-gh/utau_plugins	82f2145fc044a6028f7f7a88a74689797a4b83df	[ "Beerware" ]	null	null	null	_archive/kerokero_shakuri/kerokero_shakuri.py	oatsu-gh/utau_plugins	82f2145fc044a6028f7f7a88a74689797a4b83df	[ "Beerware" ]	null	null	null	#!/usr/bin/env python3 # Copyright (c) 2021 oatsu """ 「か」「あ」のような出現パターンの時にポルタメントを短く設定する。 """	15.333333	33	0.684783	11	92	5.727273	1	0	0	0	0	0	0	0	0	0	0.060976	0.108696	92	5	34	18.4	0.707317	0.869565	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	4
ba23d6157f72a0597119ef718457385a019fae5d	473	py	Python	tests/checkio/home/test_xs_and_os_referee.py	zoido/checkio_python_solutions	858cc7eafbbf55c8506e14cce260d17406fbf09c	[ "MIT" ]	null	null	null	tests/checkio/home/test_xs_and_os_referee.py	zoido/checkio_python_solutions	858cc7eafbbf55c8506e14cce260d17406fbf09c	[ "MIT" ]	2	2017-10-14T17:44:17.000Z	2018-04-06T18:53:37.000Z	tests/checkio/home/test_xs_and_os_referee.py	zoido/checkio_python_solutions	858cc7eafbbf55c8506e14cce260d17406fbf09c	[ "MIT" ]	null	null	null	from checkio.home.xs_and_os_referee import checkio def test_checkio(): assert checkio(["X.O", "XX.", "XOO"]) == "X", "Xs wins" assert checkio(["OO.", "XOX", "XOX"]) == "O", "Os wins" assert checkio(["OOX", "XXO", "OXX"]) == "D", "Draw" assert checkio(["O.X", "XX.", "XOO"]) == "X", "Xs wins again" de...	26.277778	65	0.541226	67	473	3.701493	0.492537	0.262097	0.048387	0.064516	0.096774	0	0	0	0	0	0.005222	0.190275	473	17	66	27.823529	0.642298	0.05074	0	0	0	0.201342	0	0	0	0	0	0.5	1	0.3	true	0	0.1	0	0.4	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	1	0	0	0	0	0	4
ba2d644748c18bc119bbf15351450a6ab3066b86	490	py	Python	pymbari/sample_data.py	sghowell/pymbari	ded1a73c86b242196b0541b30d26173fefc265f8	[ "MIT" ]	null	null	null	pymbari/sample_data.py	sghowell/pymbari	ded1a73c86b242196b0541b30d26173fefc265f8	[ "MIT" ]	null	null	null	pymbari/sample_data.py	sghowell/pymbari	ded1a73c86b242196b0541b30d26173fefc265f8	[ "MIT" ]	null	null	null	import numpy as np from dataclasses import dataclass @dataclass class SampleData: __MAX_LEN: int = 1800 temperature: np.ndarray = np.random.rand(__MAX_LEN) pressure: np.ndarray = np.random.rand(__MAX_LEN) salinity: np.ndarray = np.random.rand(__MAX_LEN) conductivity: np.ndarray = np.random.rand(__...	32.666667	60	0.7	77	490	4.246753	0.363636	0.192661	0.235474	0.207951	0.330275	0.330275	0.330275	0	0	0	0.088235	0.167347	490	14	61	35	0.713235	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.166667	0	0.916667	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	1	0	4
e84574f9de389fcf3e67f9dab1a0432395e15ac1	299	py	Python	simple/test.py	Jesse3692/flask_note	419d7671677e8ea0d85ebd5da82267717e10813c	[ "MIT" ]	null	null	null	simple/test.py	Jesse3692/flask_note	419d7671677e8ea0d85ebd5da82267717e10813c	[ "MIT" ]	null	null	null	simple/test.py	Jesse3692/flask_note	419d7671677e8ea0d85ebd5da82267717e10813c	[ "MIT" ]	null	null	null	import sys class Foo: def __call__(self): print(self, 'hello') if __name__ == "__main__": # print(__name__) # foo = Foo() # foo() print(sys.modules['__main__']) print(sys.modules['__main__'].__file__) print(getattr(sys.modules['__main__'], '__file__', None))	18.6875	61	0.608696	34	299	4.294118	0.470588	0.205479	0.287671	0.260274	0	0	0	0	0	0	0	0.217391	299	15	62	19.933333	0.623932	0.110368	0	0	0	0.171756	0	0	0	0	0	0	1	0.125	false	0	0.125	0	0.375	0.5	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	4
e879ae40c2b11ab646cfd09aa86be464bd345517	1,419	py	Python	data_structures/sorting_algos/mergesort/conftest.py	tyler-fishbone/data-structures-and-algorithms	29790f2672d3ddb0aadf62725f28180b092f4568	[ "MIT" ]	null	null	null	data_structures/sorting_algos/mergesort/conftest.py	tyler-fishbone/data-structures-and-algorithms	29790f2672d3ddb0aadf62725f28180b092f4568	[ "MIT" ]	4	2018-03-22T19:19:11.000Z	2018-04-11T00:35:26.000Z	data_structures/sorting_algos/selection/conftest.py	tyler-fishbone/data-structures-and-algorithms	29790f2672d3ddb0aadf62725f28180b092f4568	[ "MIT" ]	null	null	null	import pytest @pytest.fixture def list_ten_values_random_order(): """Return list of ten values which are in a randomized order.""" return [54, 26, 93, 17, 77, 31, 44, 55, 20, 3] @pytest.fixture def list_ten_values_in_order(): """Return list of ten values which are in ascending order.""" return [3, 1...	24.465517	80	0.664553	232	1,419	3.926724	0.193966	0.144896	0.158068	0.175631	0.697036	0.673985	0.583974	0.498353	0.461032	0.421515	0.120705	0.200141	1,419	57	81	24.894737	0.681938	0.315715	0.321429	0	0	0.009751	0	0	0	0	0	0	1	0.321429	true	0	0.035714	0	0.678571	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	1	0	4
e8c424bc4b5a1e946cc498c5f88d76977cb778d4	111	py	Python	source_postgres/__init__.py	vedala/source-postgres	a6890c536056aa4ab0d73594854f5484ab589b9d	[ "MIT" ]	null	null	null	source_postgres/__init__.py	vedala/source-postgres	a6890c536056aa4ab0d73594854f5484ab589b9d	[ "MIT" ]	null	null	null	source_postgres/__init__.py	vedala/source-postgres	a6890c536056aa4ab0d73594854f5484ab589b9d	[ "MIT" ]	null	null	null	name = "source_postgres" from .chomp_source_pg import SourcePostgres from .sql_construct import construct_sql	22.2	43	0.846847	15	111	5.933333	0.666667	0	0	0	0	0	0	0	0	0	0	0.108108	111	4	44	27.75	0.89899	0	0	0	0	0.135135	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	4
2cd4bdb72fe015f650ee423918b2783d7225fe62	177	py	Python	src/shared_funcs.py	alexmbird/hwaas	c751bf075f47783b4ef3165294e0868e991e3f44	[ "Apache-2.0" ]	null	null	null	src/shared_funcs.py	alexmbird/hwaas	c751bf075f47783b4ef3165294e0868e991e3f44	[ "Apache-2.0" ]	null	null	null	src/shared_funcs.py	alexmbird/hwaas	c751bf075f47783b4ef3165294e0868e991e3f44	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- """Functions passed to our remote python-rq workers. Must be in a separate module to __main__.""" def async_print(s): print(s) return True	16.090909	98	0.649718	27	177	4.074074	0.888889	0.109091	0	0	0	0	0	0	0	0	0.007246	0.220339	177	10	99	17.7	0.789855	0.649718	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0	0.666667	0.666667	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	1	4

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