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train · 336k rows

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4e40e56669e17e3ab0d16330e3eb1bb070b4f8b0	140	py	Python	idawilli/__init__.py	CrackerCat/idawilli	4cf895cf88144e9394a0aa21200cf35e84ca1cba	[ "Apache-2.0" ]	null	null	null	idawilli/__init__.py	CrackerCat/idawilli	4cf895cf88144e9394a0aa21200cf35e84ca1cba	[ "Apache-2.0" ]	null	null	null	idawilli/__init__.py	CrackerCat/idawilli	4cf895cf88144e9394a0aa21200cf35e84ca1cba	[ "Apache-2.0" ]	null	null	null	def align(value, alignment=0x1000): if value % alignment == 0: return value return value + (alignment - (value % alignment))	35	52	0.642857	16	140	5.625	0.5	0.622222	0	0	0	0	0	0	0	0	0.056604	0.242857	140	4	52	35	0.792453	0	0	0	0	0	0	0	0	0.042553	0	0	1	0.25	false	0	0	0	0.75	0	1	0	0	null	1	0	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	1	0	5
9daef14a7cdf5e935df51508fb1293fad577407c	72	py	Python	build/scripts-3.5/mooc_anon.py	acheamponge/mooc_anon	b06dec9c4c47011f69ff4f6e21a0f5862e2ffd5c	[ "MIT" ]	3	2019-07-08T01:16:57.000Z	2021-09-23T12:44:02.000Z	build/scripts-3.5/mooc_anon.py	acheamponge/mooc_anon	b06dec9c4c47011f69ff4f6e21a0f5862e2ffd5c	[ "MIT" ]	null	null	null	build/scripts-3.5/mooc_anon.py	acheamponge/mooc_anon	b06dec9c4c47011f69ff4f6e21a0f5862e2ffd5c	[ "MIT" ]	null	null	null	#!/usr/bin/env python print("hey there, this is my first pip package")	18	48	0.708333	13	72	3.923077	1	0	0	0	0	0	0	0	0	0	0	0.152778	72	3	49	24	0.836066	0.277778	0	0	0	0.764706	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	1	5
9df56584ef8b053ce1af3875d1ad5df2cd5671e4	189	py	Python	src/1.foundation/1.embedding_python/1.4.create_custom_module/assets/scripts/game.py	Chukobyte/learn-engine-dev	3f4437ed4abab9011d584bdc0ab4eff921393f00	[ "CC-BY-4.0", "CC0-1.0" ]	5	2021-08-13T01:53:59.000Z	2022-01-23T18:50:17.000Z	src/1.foundation/1.embedding_python/1.4.create_custom_module/assets/scripts/game.py	Chukobyte/learn-engine-dev	3f4437ed4abab9011d584bdc0ab4eff921393f00	[ "CC-BY-4.0", "CC0-1.0" ]	null	null	null	src/1.foundation/1.embedding_python/1.4.create_custom_module/assets/scripts/game.py	Chukobyte/learn-engine-dev	3f4437ed4abab9011d584bdc0ab4eff921393f00	[ "CC-BY-4.0", "CC0-1.0" ]	null	null	null	import engine class Player: def talk(self, message: str) -> None: engine_version = engine.get_version() engine.print_log(message=f"Engine version = {engine_version}")	23.625	70	0.68254	24	189	5.208333	0.625	0.312	0.304	0	0	0	0	0	0	0	0	0.206349	189	7	71	27	0.833333	0	0	0	0	0.174603	0	0	0	0	0	0	1	0.2	false	0	0.2	0	0.6	0.2	1	0	0	null	1	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	0	0	1	0	5
d18b904208aa3a3c863151a2c83c482991eec4aa	944	py	Python	nfv/nfv-vim/nfv_vim/alarm/__init__.py	SidneyAn/nfv	5f0262a5b6ea4be59f977b9c587c483cbe0e373d	[ "Apache-2.0" ]	2	2020-02-07T19:01:36.000Z	2022-02-23T01:41:46.000Z	nfv/nfv-vim/nfv_vim/alarm/__init__.py	SidneyAn/nfv	5f0262a5b6ea4be59f977b9c587c483cbe0e373d	[ "Apache-2.0" ]	1	2021-01-14T12:02:25.000Z	2021-01-14T12:02:25.000Z	nfv/nfv-vim/nfv_vim/alarm/__init__.py	SidneyAn/nfv	5f0262a5b6ea4be59f977b9c587c483cbe0e373d	[ "Apache-2.0" ]	2	2021-01-13T08:39:21.000Z	2022-02-09T00:21:55.000Z	# # Copyright (c) 2015-2016 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # from nfv_common.alarm import * # noqa: F401,F403 from nfv_vim.alarm._general import clear_general_alarm # noqa: F401 from nfv_vim.alarm._general import raise_general_alarm # noqa: F401 from nfv_vim.alarm._host import host...	49.684211	89	0.814619	152	944	4.703947	0.223684	0.117483	0.153846	0.230769	0.753846	0.713287	0.655944	0.655944	0.583217	0.506294	0.058824	0.117585	944	18	90	52.444444	0.79952	0.23411	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
d1d24bde4b14a7385a88eadfd5830d39f6ecfb75	127	py	Python	metrics/__init__.py	rizwan09/Tagger	7622f10561a0f6074abde0c9c26a4f25405b204b	[ "BSD-3-Clause" ]	null	null	null	metrics/__init__.py	rizwan09/Tagger	7622f10561a0f6074abde0c9c26a4f25405b204b	[ "BSD-3-Clause" ]	null	null	null	metrics/__init__.py	rizwan09/Tagger	7622f10561a0f6074abde0c9c26a4f25405b204b	[ "BSD-3-Clause" ]	null	null	null	# metrics/__init__.py # author: Playinf # email: playinf@stu.xmu.edu.cn from .metrics import create_tagger_evaluation_metrics	21.166667	53	0.80315	18	127	5.277778	0.833333	0	0	0	0	0	0	0	0	0	0	0.102362	127	5	54	25.4	0.833333	0.511811	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
d1ff7ff41f8abda906716eb125ac0014f5c4aa8f	34	py	Python	graph_rl/global_algorithms/__init__.py	nicoguertler/graphrl	21a1cefc53e5c457745570460de0d99e68622e57	[ "MIT" ]	1	2022-01-04T15:21:55.000Z	2022-01-04T15:21:55.000Z	graph_rl/global_algorithms/__init__.py	nicoguertler/graph_rl	21a1cefc53e5c457745570460de0d99e68622e57	[ "MIT" ]	null	null	null	graph_rl/global_algorithms/__init__.py	nicoguertler/graph_rl	21a1cefc53e5c457745570460de0d99e68622e57	[ "MIT" ]	null	null	null	from .global_hac import GlobalHAC	17	33	0.852941	5	34	5.6	1	0	0	0	0	0	0	0	0	0	0	0.117647	34	1	34	34	0.933333	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	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	5
ae074bc52a086a244bf599cb6b758a858b0ae56e	241	py	Python	cgn_framework/imagenet/models/__init__.py	anonymous-user-256/mlrc-cgn	64f43fcb89b3a13c0ae46db4f19060d9f204a6b1	[ "MIT" ]	78	2021-01-15T09:22:21.000Z	2022-03-06T12:15:36.000Z	cgn_framework/imagenet/models/__init__.py	anonymous-user-256/mlrc-cgn	64f43fcb89b3a13c0ae46db4f19060d9f204a6b1	[ "MIT" ]	3	2021-03-26T07:33:16.000Z	2022-01-17T14:49:51.000Z	cgn_framework/imagenet/models/__init__.py	anonymous-user-256/mlrc-cgn	64f43fcb89b3a13c0ae46db4f19060d9f204a6b1	[ "MIT" ]	14	2021-01-17T10:08:49.000Z	2022-01-14T06:32:11.000Z	from imagenet.models.biggan import BigGAN from imagenet.models.u2net import U2NET from imagenet.models.cgn import CGN from imagenet.models.classifier_ensemble import InvariantEnsemble __all__ = [ CGN, InvariantEnsemble, BigGAN, U2NET ]	26.777778	65	0.821577	30	241	6.433333	0.366667	0.248705	0.373057	0	0	0	0	0	0	0	0.014151	0.120332	241	8	66	30.125	0.896226	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.571429	0	0.571429	0	0	0	0	null	1	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	1	0	5
ae2e72786b0e755905085b12bef4f3ce69f9d8fc	34	py	Python	pycalc.py	erhuabushuo/pycalc	a46b85aaafe37ad7cca95ac0198d9bfea985b598	[ "MIT" ]	null	null	null	pycalc.py	erhuabushuo/pycalc	a46b85aaafe37ad7cca95ac0198d9bfea985b598	[ "MIT" ]	null	null	null	pycalc.py	erhuabushuo/pycalc	a46b85aaafe37ad7cca95ac0198d9bfea985b598	[ "MIT" ]	null	null	null	import calcpy calcpy.calculcate()	11.333333	19	0.823529	4	34	7	0.75	0	0	0	0	0	0	0	0	0	0	0.088235	34	3	19	11.333333	0.903226	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	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	5
ae3401171f8e9d1d9a120271065ad3caf42b8ad2	38	py	Python	tests/__init__.py	masasin/latexipy	1f888a44f2077a5c0ef63216616cd24c279e44d0	[ "MIT" ]	144	2017-08-24T08:58:58.000Z	2021-04-18T10:38:44.000Z	tests/__init__.py	masasin/latexipy	1f888a44f2077a5c0ef63216616cd24c279e44d0	[ "MIT" ]	424	2017-09-04T16:21:10.000Z	2022-03-28T02:23:25.000Z	tests/__init__.py	masasin/latexipy	1f888a44f2077a5c0ef63216616cd24c279e44d0	[ "MIT" ]	15	2017-08-26T08:05:55.000Z	2019-05-13T22:29:44.000Z	'''Unit test package for latexipy.'''	19	37	0.684211	5	38	5.2	1	0	0	0	0	0	0	0	0	0	0	0.131579	38	1	38	38	0.787879	0.815789	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	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	5
ae3a515565662ff474b5546eb89caaad693236c2	223	py	Python	leetcode_runner/models.py	fbjorn/leetcode-runner	38569e68a3ec2e420ed54aa509c236748f5d55dc	[ "MIT" ]	null	null	null	leetcode_runner/models.py	fbjorn/leetcode-runner	38569e68a3ec2e420ed54aa509c236748f5d55dc	[ "MIT" ]	null	null	null	leetcode_runner/models.py	fbjorn/leetcode-runner	38569e68a3ec2e420ed54aa509c236748f5d55dc	[ "MIT" ]	null	null	null	class Args: def __init__(self, args, *kwargs): self.args = args self.kwargs = kwargs class TestCase: def __init__(self, args: Args, answer): self.args = args self.answer = answer	20.272727	43	0.591928	27	223	4.592593	0.296296	0.258065	0.290323	0.241935	0	0	0	0	0	0	0	0.300448	223	10	44	22.3	0.794872	0	0.25	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0	0	0.5	0	1	0	0	null	1	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	0	0	5
ae7a6bf6cf0a8187540066ce63f57293b91d1b01	25	py	Python	datamaps/__init__.py	fossabot/datamaps-1	c66c3f20e43bd41ec0874f40f39bd0eff89fd476	[ "MIT" ]	null	null	null	datamaps/__init__.py	fossabot/datamaps-1	c66c3f20e43bd41ec0874f40f39bd0eff89fd476	[ "MIT" ]	null	null	null	datamaps/__init__.py	fossabot/datamaps-1	c66c3f20e43bd41ec0874f40f39bd0eff89fd476	[ "MIT" ]	null	null	null	__version__ = "1.0.0b13"	12.5	24	0.68	4	25	3.25	1	0	0	0	0	0	0	0	0	0	0.227273	0.12	25	1	25	25	0.363636	0	0	0	0	0.32	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	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
8821e5692a8f5f25d979cb717b556c74dc17abc9	23	py	Python	pyfirebase/__init__.py	andela-cnnadi/python-fire	11868007a7ff7fec45ed87cec18466e351cdb5ab	[ "MIT" ]	14	2016-08-31T06:24:33.000Z	2019-12-12T11:23:21.000Z	pyfirebase/__init__.py	andela-cnnadi/python-fire	11868007a7ff7fec45ed87cec18466e351cdb5ab	[ "MIT" ]	2	2016-09-16T12:40:51.000Z	2016-12-27T06:26:39.000Z	pyfirebase/__init__.py	andela-cnnadi/python-fire	11868007a7ff7fec45ed87cec18466e351cdb5ab	[ "MIT" ]	5	2016-08-30T21:16:32.000Z	2020-11-05T20:39:52.000Z	from firebase import *	11.5	22	0.782609	3	23	6	1	0	0	0	0	0	0	0	0	0	0	0.173913	23	1	23	23	0.947368	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	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	5
88627cf7ecface35fcb049861351f30b77fd4c4c	173	py	Python	tfrec/utils/__init__.py	Praful932/Tf-Rec	fe0e08d3621da911149a95d8a701e434dfa61161	[ "MIT" ]	18	2020-12-22T04:16:54.000Z	2022-03-23T08:49:16.000Z	tfrec/utils/__init__.py	Praful932/Tf-Rec	fe0e08d3621da911149a95d8a701e434dfa61161	[ "MIT" ]	1	2021-05-11T12:28:07.000Z	2022-03-16T17:33:03.000Z	tfrec/utils/__init__.py	Praful932/Tf-Rec	fe0e08d3621da911149a95d8a701e434dfa61161	[ "MIT" ]	2	2021-04-26T10:29:44.000Z	2021-07-01T03:31:31.000Z	from tfrec.utils.model_utils import cross_validate from tfrec.utils.model_utils import preprocess_and_split __all__ = [ 'cross_validate', 'preprocess_and_split', ]	21.625	56	0.791908	23	173	5.434783	0.478261	0.144	0.224	0.304	0.48	0.48	0	0	0	0	0	0.132948	173	7	57	24.714286	0.833333	0	0	0	0	0.196532	0	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	0	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	1	0	0	0	5
889140ee18ea1e06b9b18606e947a9585cb410f1	145	py	Python	DSA/Python/src/dsa/lib/math/ds/tests/fixture.py	JackieMa000/problems	c521558830a0bbf67f94109af92d7be4397d0a43	[ "BSD-3-Clause" ]	null	null	null	DSA/Python/src/dsa/lib/math/ds/tests/fixture.py	JackieMa000/problems	c521558830a0bbf67f94109af92d7be4397d0a43	[ "BSD-3-Clause" ]	1	2020-10-23T04:06:56.000Z	2020-10-23T04:06:56.000Z	DSA/Python/src/dsa/lib/math/ds/tests/fixture.py	JackieMa000/problems	c521558830a0bbf67f94109af92d7be4397d0a43	[ "BSD-3-Clause" ]	null	null	null	from dsa.lib.math.tests.fixture import MathTestCase class DsTestCase(MathTestCase): pass class ParenthesesTestCase(DsTestCase): pass	14.5	51	0.77931	16	145	7.0625	0.75	0	0	0	0	0	0	0	0	0	0	0.151724	145	9	52	16.111111	0.918699	0	0.4	0	0	0	0	0	0	0	0	0	1	0	true	0.4	0.2	0	0.6	0	1	0	0	null	0	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	1	0	5
88a8aa3a3b09f7b8f22914184124db2a1414e747	320	py	Python	src/sensors/__init__.py	ivanbukhtiyarov/elevators	e7ff582bbc9a26d22880bec61bede747427430c2	[ "MIT" ]	2	2021-03-22T16:12:56.000Z	2021-03-22T16:19:09.000Z	src/sensors/__init__.py	ivanbukhtiyarov/elevators	e7ff582bbc9a26d22880bec61bede747427430c2	[ "MIT" ]	46	2021-04-01T10:25:25.000Z	2021-12-26T23:43:46.000Z	src/sensors/__init__.py	ivanbukhtiyarov/elevators	e7ff582bbc9a26d22880bec61bede747427430c2	[ "MIT" ]	4	2021-04-01T10:22:46.000Z	2021-12-26T21:51:10.000Z	from src.sensors.door_block_sensor import DoorBlockSensor from src.sensors.door_state_sensor import DoorStateSensor from src.sensors.light_sensor import LightSensor from src.sensors.movement_sensor import MovementSensor from src.sensors.smoke_sensor import SmokeSensor from src.sensors.weight_sensor import WeightSensor	45.714286	57	0.8875	44	320	6.272727	0.409091	0.152174	0.304348	0.130435	0	0	0	0	0	0	0	0.075	320	6	58	53.333333	0.932432	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	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	1	0	5
31f9305a21377f64bd0e727a4e26ba7424caa0ac	39	py	Python	tests/components/logbook/__init__.py	domwillcode/home-assistant	f170c80bea70c939c098b5c88320a1c789858958	[ "Apache-2.0" ]	30,023	2016-04-13T10:17:53.000Z	2020-03-02T12:56:31.000Z	tests/components/logbook/__init__.py	jagadeeshvenkatesh/core	1bd982668449815fee2105478569f8e4b5670add	[ "Apache-2.0" ]	31,101	2020-03-02T13:00:16.000Z	2022-03-31T23:57:36.000Z	tests/components/logbook/__init__.py	jagadeeshvenkatesh/core	1bd982668449815fee2105478569f8e4b5670add	[ "Apache-2.0" ]	11,956	2016-04-13T18:42:31.000Z	2020-03-02T09:32:12.000Z	"""Tests for the logbook component."""	19.5	38	0.692308	5	39	5.4	1	0	0	0	0	0	0	0	0	0	0	0.128205	39	1	39	39	0.794118	0.820513	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	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	5
31fea9ffda59127cd7bda0c20fd0fcfb295048c1	142	py	Python	joga_moeda.py	lucaslk122/Programas-python	816bdaa128f2d279c255c588c1ff61cb4b834ccd	[ "MIT" ]	null	null	null	joga_moeda.py	lucaslk122/Programas-python	816bdaa128f2d279c255c588c1ff61cb4b834ccd	[ "MIT" ]	null	null	null	joga_moeda.py	lucaslk122/Programas-python	816bdaa128f2d279c255c588c1ff61cb4b834ccd	[ "MIT" ]	null	null	null	from random import random def joga_moeda(): if random() > 0.5: return "Coroa" else: return "Cara" print (joga_moeda())	20.285714	25	0.598592	19	142	4.368421	0.736842	0.216867	0	0	0	0	0	0	0	0	0.019608	0.28169	142	7	26	20.285714	0.794118	0	0	0	0	0.062937	0	0	0	0	0	0	1	0.142857	true	0	0.142857	0	0.571429	0.142857	1	0	0	null	1	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	1	0	5
ee66be524d32778f359946d067c84065472b72da	94	py	Python	node-runner-cli/setup/__init__.py	stuartbain/node-runner	89d10986dbc79da06df402cb17f3edec736f3709	[ "Apache-2.0" ]	18	2018-11-26T13:22:10.000Z	2022-03-28T12:41:44.000Z	node-runner-cli/setup/__init__.py	stuartbain/node-runner	89d10986dbc79da06df402cb17f3edec736f3709	[ "Apache-2.0" ]	30	2018-09-12T06:40:03.000Z	2021-09-24T13:46:59.000Z	node-runner-cli/setup/__init__.py	stuartbain/node-runner	89d10986dbc79da06df402cb17f3edec736f3709	[ "Apache-2.0" ]	12	2018-09-24T01:57:02.000Z	2022-03-07T17:55:13.000Z	from setup.Base import Base from setup.Docker import Docker from setup.SystemD import SystemD	23.5	33	0.840426	15	94	5.266667	0.4	0.341772	0	0	0	0	0	0	0	0	0	0.12766	94	3	34	31.333333	0.963415	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	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	5
c9b4d11f803a768b9c496032b0ea1a63387421c9	133	py	Python	app/services/v1/healthcheck.py	rvmoura96/flask-template	d1383be7e17bff580e3ddf61ae580271c30201c4	[ "MIT" ]	2	2019-09-25T19:19:11.000Z	2019-10-08T01:05:35.000Z	app/services/v1/healthcheck.py	rvmoura96/flask-template	d1383be7e17bff580e3ddf61ae580271c30201c4	[ "MIT" ]	10	2019-09-13T23:41:42.000Z	2020-05-10T21:12:32.000Z	app/services/v1/healthcheck.py	rvmoura96/flask-template	d1383be7e17bff580e3ddf61ae580271c30201c4	[ "MIT" ]	9	2019-09-30T15:26:23.000Z	2020-09-28T23:36:25.000Z	from flask_restful import Resource import app from app.services.healthcheck import HealthApi class HealthApiV1(HealthApi): pass	19	46	0.827068	17	133	6.411765	0.705882	0	0	0	0	0	0	0	0	0	0.008696	0.135338	133	6	47	22.166667	0.93913	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.6	0	0.8	0	1	0	0	null	0	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	1	0	0	0	5
c9f1e7cdebfd2710c6c2b7bf206e8cee0c794ff2	43	py	Python	test.py	Taraxa-project/taraxa-py	95aa0d8054bf4eba2c3200f3298421575b7bb5a0	[ "MIT" ]	null	null	null	test.py	Taraxa-project/taraxa-py	95aa0d8054bf4eba2c3200f3298421575b7bb5a0	[ "MIT" ]	1	2022-03-02T15:51:17.000Z	2022-03-02T15:51:17.000Z	test.py	Taraxa-project/taraxa-py	95aa0d8054bf4eba2c3200f3298421575b7bb5a0	[ "MIT" ]	null	null	null	from pytaraxa.test import * blockNumber()	10.75	27	0.767442	5	43	6.6	1	0	0	0	0	0	0	0	0	0	0	0.139535	43	3	28	14.333333	0.891892	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	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	5
a013e70e32f34350be8bc00a3ce5fb9e45e8fb9c	4,912	py	Python	Day3.py	Swicano/AdventCode	3b6f425c773f05911bcc8d8d2f3cf5eb64bfdeff	[ "MIT" ]	null	null	null	Day3.py	Swicano/AdventCode	3b6f425c773f05911bcc8d8d2f3cf5eb64bfdeff	[ "MIT" ]	null	null	null	Day3.py	Swicano/AdventCode	3b6f425c773f05911bcc8d8d2f3cf5eb64bfdeff	[ "MIT" ]	null	null	null	input1str = 'R998,U367,R735,U926,R23,U457,R262,D473,L353,U242,L930,U895,R321,U683,L333,U623,R105,D527,R437,D473,L100,D251,L958,U384,R655,U543,L704,D759,R529,D176,R835,U797,R453,D650,L801,U437,L468,D841,R928,D747,L803,U677,R942,D851,R265,D684,L206,U763,L566,U774,L517,U337,L86,D585,R212,U656,L799,D953,L24,U388,L465,U656,...	72.235294	1,495	0.725366	896	4,912	3.958705	0.766741	0.017761	0.010149	0.012405	0.061742	0.061742	0.061742	0.061742	0.060333	0.060333	0.430251	0.099552	4,912	67	1,496	73.313433	0.371693	0.094666	0.181818	0	0.068182	0.704925	0.698599	0	0	0	0	0	1	0.022727	false	0	0	0	0.045455	0.045455	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	0	5
a01a6cd80a71c68a6da168b3758e9d7078688990	100	py	Python	Pruebas.py	MacoChave/Server-Iniciales	035d98793a1c20738b7af885d455fd62197988bd	[ "Apache-2.0" ]	null	null	null	Pruebas.py	MacoChave/Server-Iniciales	035d98793a1c20738b7af885d455fd62197988bd	[ "Apache-2.0" ]	null	null	null	Pruebas.py	MacoChave/Server-Iniciales	035d98793a1c20738b7af885d455fd62197988bd	[ "Apache-2.0" ]	null	null	null	from datetime import date from datetime import datetime dateToday = date.today() print(dateToday)	14.285714	29	0.8	13	100	6.153846	0.538462	0.3	0.45	0	0	0	0	0	0	0	0	0.14	100	7	30	14.285714	0.930233	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0.25	1	0	0	null	1	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	5
4e9e6122ed3109b35f3efe158b363d95df381cc6	10,892	py	Python	server/tree_pickler.py	michaelpeterswa/CPSC322Project-WildfireAnalysis	872727e8c59619fcfc11aaa70367762271207dbd	[ "MIT" ]	null	null	null	server/tree_pickler.py	michaelpeterswa/CPSC322Project-WildfireAnalysis	872727e8c59619fcfc11aaa70367762271207dbd	[ "MIT" ]	null	null	null	server/tree_pickler.py	michaelpeterswa/CPSC322Project-WildfireAnalysis	872727e8c59619fcfc11aaa70367762271207dbd	[ "MIT" ]	1	2021-04-16T21:21:25.000Z	2021-04-16T21:21:25.000Z	import pickle best_trees = [ {'accuracy': 0.36416184971098264, 'tree': ['Attribute', 'att1', ['Value', 'Pend Oreille', ['Leaf', 2.0, 0, 69] ], ['Value', 'Okanogan', ['Leaf', 3.0, 0, 314] ], ['Value...	495.090909	10,287	0.484209	1,664	10,892	3.166466	0.110577	0.0725	0.140065	0.151452	0.830139	0.78402	0.295692	0.18922	0.105523	0.085405	0.131849	0.150477	10,892	22	10,288	495.090909	0.437588	0.00202	0.15	0	0	0.366335	0	0	0	0	0	0	1	0	false	0	0.05	0	0.05	0	0	0	0	null	0	0	0	1	1	0	0	0	0	0	0	1	1	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
14e2f68640f152f69f9e7b649672501b2bacc025	128	py	Python	demeter/admin/model/__load__.py	shemic/demeter	01f91aac43c325c48001dda86af17da43fb8d6fe	[ "MIT" ]	1	2017-12-05T08:17:53.000Z	2017-12-05T08:17:53.000Z	demos/helloworld/model/__load__.py	shemic/demeter	01f91aac43c325c48001dda86af17da43fb8d6fe	[ "MIT" ]	null	null	null	demos/helloworld/model/__load__.py	shemic/demeter	01f91aac43c325c48001dda86af17da43fb8d6fe	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """ demeter database name:__load__.py """ from demeter.model import * from demeter.core import *	18.285714	27	0.640625	16	128	4.875	0.75	0.282051	0	0	0	0	0	0	0	0	0.009709	0.195313	128	7	28	18.285714	0.747573	0.4375	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	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	5
14f1a8447efc963a4a6ad15b82d5aee9bf59542f	4,408	py	Python	tests/test_date_utils.py	rob-blackbourn/aiofix	2a07822e07414c1ea850708d7660c16a0564c21d	[ "Apache-2.0" ]	1	2021-03-25T21:52:36.000Z	2021-03-25T21:52:36.000Z	tests/test_date_utils.py	rob-blackbourn/jetblack-fixengine	2a07822e07414c1ea850708d7660c16a0564c21d	[ "Apache-2.0" ]	null	null	null	tests/test_date_utils.py	rob-blackbourn/jetblack-fixengine	2a07822e07414c1ea850708d7660c16a0564c21d	[ "Apache-2.0" ]	null	null	null	"""Tests for date utils""" from datetime import time, datetime import pytz from jetblack_fixengine.utils.date_utils import ( is_dow_in_range, is_time_in_range, delay_for_time_period ) MONDAY = 0 TUESDAY = 1 WEDNESDAY = 2 THURSDAY = 3 FRIDAY = 4 SATURDAY = 5 SUNDAY = 6 def test_dow_range(): """Test...	34.708661	79	0.639292	737	4,408	3.599729	0.101764	0.037693	0.04297	0.067848	0.825104	0.823973	0.765925	0.683754	0.613268	0.606483	0.112056	0.226633	4,408	126	80	34.984127	0.666178	0.080989	0.527473	0	0	0.003232	0	0	0	0	0	0.406593	1	0.032967	false	0	0.032967	0	0.065934	0	0	0	0	null	0	0	0	1	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	5
095cddc3c05dd03a088f06ee8064ef92e069c45e	181	py	Python	face_recognition_final_year/face_recognizer_app/admin.py	chiragsaraswat/automated_authentication_system_using_face_recognition	9f63f582d79db44c9e10fec6f72d4f835af8ab3a	[ "MIT" ]	null	null	null	face_recognition_final_year/face_recognizer_app/admin.py	chiragsaraswat/automated_authentication_system_using_face_recognition	9f63f582d79db44c9e10fec6f72d4f835af8ab3a	[ "MIT" ]	null	null	null	face_recognition_final_year/face_recognizer_app/admin.py	chiragsaraswat/automated_authentication_system_using_face_recognition	9f63f582d79db44c9e10fec6f72d4f835af8ab3a	[ "MIT" ]	null	null	null	from django.contrib import admin # Register your models here. from user_manager_app.models import Attendance, Support admin.site.register(Attendance) admin.site.register(Support)	22.625	55	0.828729	25	181	5.92	0.6	0.121622	0.22973	0	0	0	0	0	0	0	0	0.099448	181	7	56	25.857143	0.907975	0.143646	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	1	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	5
11791d8dd54ab856a076d61973de8d77641f2d2d	115	py	Python	app/route.py	Indexyz/pods-info-example	e36657d2e4448a9d42450fd5e41671bba11ee9b4	[ "Unlicense" ]	null	null	null	app/route.py	Indexyz/pods-info-example	e36657d2e4448a9d42450fd5e41671bba11ee9b4	[ "Unlicense" ]	null	null	null	app/route.py	Indexyz/pods-info-example	e36657d2e4448a9d42450fd5e41671bba11ee9b4	[ "Unlicense" ]	null	null	null	from flask_restful import Api import info def add_route(api: Api): api.add_resource(info.InfoRoute, '/')	19.166667	42	0.713043	17	115	4.647059	0.647059	0.151899	0	0	0	0	0	0	0	0	0	0.182609	115	5	43	23	0.840426	0	0	0	0	0.009091	0	0	0	0	0	0	1	0.25	false	0	0.5	0	0.75	0	1	0	0	null	0	0	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	1	0	1	0	5
119ba308325a28e7115e3336760ea5459e34bcae	31,721	py	Python	SRTG-Scheduler/SRTG-ResultAnalysis/scripts/aperiodic-jobs-resultAnalyzer.py	kiritigowda/RTG-scheduler	4aa3d66e011e6a0d16e19719f940c5cc0a6559ba	[ "MIT" ]	2	2021-10-15T12:00:51.000Z	2021-11-23T04:50:58.000Z	SRTG-Scheduler/SRTG-ResultAnalysis/scripts/aperiodic-jobs-resultAnalyzer.py	kiritigowda/RTG-scheduler	4aa3d66e011e6a0d16e19719f940c5cc0a6559ba	[ "MIT" ]	45	2018-01-24T15:38:11.000Z	2020-10-31T19:50:19.000Z	SRTG-Scheduler/SRTG-ResultAnalysis/scripts/aperiodic-jobs-resultAnalyzer.py	kiritigowda/RTG-scheduler	4aa3d66e011e6a0d16e19719f940c5cc0a6559ba	[ "MIT" ]	2	2018-05-23T17:13:44.000Z	2020-09-18T15:06:17.000Z	# Copyright (c) 2017 - 2020 Kiriti Nagesh Gowda, Inc. All rights reserved. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to ...	49.027821	225	0.694871	4,589	31,721	4.721944	0.075616	0.035627	0.064608	0.037657	0.820619	0.793853	0.691818	0.683511	0.677789	0.675758	0.020556	0.108981	31,721	646	226	49.103715	0.746108	0.049431	0.601423	0	0.078292	0.316548	0.116953	0	0	0	0	0	0	null	null	0.001779	0.012456	null	null	0.405694	0	0	0	null	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	1	5
11b20ebad8eab479fb6fed2be3f7940e76f88665	22,860	py	Python	lib/modeling/torchResNet.py	Min-Sheng/CA_FSIS_Cell	c24750d860a9417b30819c05613282cd74dc517f	[ "MIT" ]	null	null	null	lib/modeling/torchResNet.py	Min-Sheng/CA_FSIS_Cell	c24750d860a9417b30819c05613282cd74dc517f	[ "MIT" ]	1	2021-03-01T09:16:15.000Z	2021-03-01T09:34:49.000Z	lib/modeling/torchResNet.py	Min-Sheng/CA_FSIS_Cell	c24750d860a9417b30819c05613282cd74dc517f	[ "MIT" ]	null	null	null	import torch import torch.nn as nn import math import copy from collections import OrderedDict import torch.utils.model_zoo as model_zoo from core.config import cfg import utils.net as net_utils from deform.torch_deform_conv.layers import ConvOffset2D model_urls = { 'resnet50': 'https://s3.amazonaws.com/pytorch/mo...	38.484848	104	0.580971	2,796	22,860	4.506795	0.10372	0.082136	0.046266	0.041425	0.776526	0.751686	0.737957	0.728434	0.718118	0.69923	0.030928	0.281496	22,860	594	105	38.484848	0.736256	0.109405	0.654462	0	0	0.044131	0.003566	0	0	0	0	0.004577	1	0.073227	false	0	0.020595	0.009153	0.15103	0.011442	0	0	0	null	0	0	0	0	1	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	5
11d5570c1f5104f2732b1bf852cd1144b65ea155	61	py	Python	fastISM/__init__.py	kundajelab/fastISM	1573feccba1ad5d9f1cee508f5bb03c4aa09bb2b	[ "MIT" ]	12	2020-09-20T17:03:48.000Z	2022-03-16T06:51:52.000Z	fastISM/__init__.py	kundajelab/fastISM	1573feccba1ad5d9f1cee508f5bb03c4aa09bb2b	[ "MIT" ]	5	2020-10-24T20:43:45.000Z	2022-02-25T19:40:47.000Z	fastISM/__init__.py	kundajelab/fastISM	1573feccba1ad5d9f1cee508f5bb03c4aa09bb2b	[ "MIT" ]	2	2020-10-14T05:18:55.000Z	2022-02-21T07:34:14.000Z	from .fast_ism import FastISM from .ism_base import NaiveISM	20.333333	30	0.836066	10	61	4.9	0.7	0	0	0	0	0	0	0	0	0	0	0.131148	61	2	31	30.5	0.924528	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
eea59cf9926de3446a108f54259fdcc310099f7a	172	py	Python	api/utils/get_earnings.py	syth0le/REST-API_YANDEX	7a693430973e4d0ae428860d17fc33504dc25fb2	[ "MIT" ]	null	null	null	api/utils/get_earnings.py	syth0le/REST-API_YANDEX	7a693430973e4d0ae428860d17fc33504dc25fb2	[ "MIT" ]	null	null	null	api/utils/get_earnings.py	syth0le/REST-API_YANDEX	7a693430973e4d0ae428860d17fc33504dc25fb2	[ "MIT" ]	null	null	null	def get_salary(courier_type, completed_orders): DATA = {"foot": 2, "bike": 5, "car": 9} salary = 500 * DATA[str(courier_type)] * completed_orders return salary	34.4	61	0.668605	24	172	4.583333	0.708333	0.2	0.363636	0.472727	0	0	0	0	0	0	0.042857	0.186047	172	4	62	43	0.742857	0	0	0	0	0.063953	0	0	0	0	0	0	1	0.25	false	0	0	0	0.5	0	1	0	0	null	0	1	1	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	5
eeaeecc00f80638bdeeeac780d5b87b92462f522	464	py	Python	dummyGPIO.py	yasokada/python-151127-7segLed_IPadrDisplay	eb97f17685ac2477e6a3a7321159d6463f736dd2	[ "MIT" ]	1	2017-01-13T23:57:21.000Z	2017-01-13T23:57:21.000Z	toLearn/dummyGPIO.py	yasokada/python-151113-lineMonitor	224342d5855d8ee6792fad6ad36399d95fce1b09	[ "MIT" ]	2	2015-12-08T23:40:12.000Z	2015-12-24T22:09:07.000Z	dummyGPIO.py	yasokada/python-151127-7segLed_IPadrDisplay	eb97f17685ac2477e6a3a7321159d6463f736dd2	[ "MIT" ]	null	null	null	''' v0.1 2015/11/26 - add output() - add setmode() - add setup() ''' class CDummyGPIO: def __init__(self): self.BOARD = 0; self.OUT = 1; # do nothing return def setmode(self, board): # do nothing return def setup(self, pinnum, inout): # do nothing return def output(self, pinnum, onoff): ...	12.888889	33	0.642241	64	464	4.59375	0.453125	0.122449	0.204082	0.183673	0	0	0	0	0	0	0.038567	0.217672	464	35	34	13.257143	0.77135	0.252155	0.363636	0	0	0	0	0	0	0	0	0	1	0.363636	false	0	0	0.272727	0.818182	0	0	0	0	null	0	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	1	1	0	5
e11a8e425c834148530d1f4e74a6a8f4d690673a	146	py	Python	Curso Python/ex009.py	sandro-fidelis/Cursos	cee1960181b1309be93034694cab8cf2878e2194	[ "MIT" ]	null	null	null	Curso Python/ex009.py	sandro-fidelis/Cursos	cee1960181b1309be93034694cab8cf2878e2194	[ "MIT" ]	null	null	null	Curso Python/ex009.py	sandro-fidelis/Cursos	cee1960181b1309be93034694cab8cf2878e2194	[ "MIT" ]	null	null	null	n = int(input('Qual tabuada deseja ver: ')) c=1 print(11'=') while c <= 10: print('{} x {:2} = {}'.format(n,c,cn)) c += 1 print(11*'=')	18.25	43	0.493151	26	146	2.769231	0.615385	0.055556	0.194444	0.25	0	0	0	0	0	0	0.077586	0.205479	146	7	44	20.857143	0.543103	0	0.285714	0	0	0.280822	0	0	0	0	0	0	1	0	false	0	0	0	0	0.428571	1	0	0	null	0	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	1	5
0165f80525bcd690617df14c805c36b82363c9f9	119	py	Python	experiments/localization.py	seba-1511/cervix.kaggle	5bf956a85481a961fb9af237aba2d2254cf6921a	[ "Apache-2.0" ]	null	null	null	experiments/localization.py	seba-1511/cervix.kaggle	5bf956a85481a961fb9af237aba2d2254cf6921a	[ "Apache-2.0" ]	null	null	null	experiments/localization.py	seba-1511/cervix.kaggle	5bf956a85481a961fb9af237aba2d2254cf6921a	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/env python def get_localization(args): # TODO: Implement the localization fitting the centers pass	19.833333	58	0.731092	16	119	5.375	0.875	0	0	0	0	0	0	0	0	0	0	0.184874	119	5	59	23.8	0.886598	0.613445	0	0	0	0	0	0	0	0	0.2	0	1	0.5	false	0.5	0	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	1	0	0	0	0	5
0170d25b5b5c179dc15a428fac48dd41cba9b842	700	py	Python	terrascript/resource/hashicorp/ad.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	507	2017-07-26T02:58:38.000Z	2022-01-21T12:35:13.000Z	terrascript/resource/hashicorp/ad.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	135	2017-07-20T12:01:59.000Z	2021-10-04T22:25:40.000Z	terrascript/resource/hashicorp/ad.py	mjuenema/python-terrascript	6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d	[ "BSD-2-Clause" ]	81	2018-02-20T17:55:28.000Z	2022-01-31T07:08:40.000Z	# terrascript/resource/hashicorp/ad.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:10:57 UTC) import terrascript class ad_computer(terrascript.Resource): pass class ad_gplink(terrascript.Resource): pass class ad_gpo(terrascript.Resource): pass class ad_gpo_security(terrascript.Res...	14.583333	73	0.71	89	700	5.314607	0.325843	0.361522	0.389006	0.414376	0.477801	0.287526	0	0	0	0	0.021053	0.185714	700	47	74	14.893617	0.808772	0.154286	0.296296	1	0	0.135823	0	0	0	0	0	0	1	0	false	0.296296	0.037037	0	0.333333	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	5
6d7de936a991106b4fb0cef936e0e2db3b670915	192	py	Python	visionlib/face/__init__.py	sumeshmn/Visionlib	c543ee038d6d1dcf9d88a8d7a782addd998e6036	[ "MIT" ]	null	null	null	visionlib/face/__init__.py	sumeshmn/Visionlib	c543ee038d6d1dcf9d88a8d7a782addd998e6036	[ "MIT" ]	null	null	null	visionlib/face/__init__.py	sumeshmn/Visionlib	c543ee038d6d1dcf9d88a8d7a782addd998e6036	[ "MIT" ]	null	null	null	from .detection import FDetector from .haar_detector import HaarDetector from .hog_detector import Hog_detector from .mtcnn_detector import MTCNNDetector from .dnn_detector import DnnDetector	32	41	0.869792	25	192	6.48	0.48	0.345679	0	0	0	0	0	0	0	0	0	0.104167	192	5	42	38.4	0.94186	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	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	5
6d8fdc15326338e43a53a51f9d3225823820ab40	74,548	py	Python	appengine/components/components/prpc/discovery/service_prpc_pb2.py	stefb965/luci-py	e0a8a5640c4104e5c90781d833168aa8a8d1f24d	[ "Apache-2.0" ]	null	null	null	appengine/components/components/prpc/discovery/service_prpc_pb2.py	stefb965/luci-py	e0a8a5640c4104e5c90781d833168aa8a8d1f24d	[ "Apache-2.0" ]	null	null	null	appengine/components/components/prpc/discovery/service_prpc_pb2.py	stefb965/luci-py	e0a8a5640c4104e5c90781d833168aa8a8d1f24d	[ "Apache-2.0" ]	1	2020-07-05T19:54:40.000Z	2020-07-05T19:54:40.000Z	# Generated by the pRPC protocol buffer compiler plugin. DO NOT EDIT! # source: service.proto import base64 from google.protobuf import descriptor_pb2 # Includes description of the service.proto and all of its transitive # dependencies. Includes source code info. FILE_DESCRIPTOR_SET = descriptor_pb2.FileDescriptorS...	79.47548	80	0.911493	1,030	74,548	65.954369	0.952427	0.001237	0.001251	0.000927	0.001384	0	0	0	0	0	0.072181	0.062617	74,548	937	81	79.560299	0.899957	0.002669	0.002155	1	0	0.90852	0.906785	0	1	0	0	0	1	0	false	0	0.002155	0	0.002155	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	null	1	0	0	0	0	0	0	0	0	0	0	5
6da810a7e416553569ccec2032142f91db2446a4	4,161	py	Python	xoa_driver/internals/core/commands/px_commands.py	xenadevel/xena-open-automation-python-api	b17e512aa14eee7c51677004b4c91712005edcd0	[ "Apache-2.0" ]	1	2022-03-18T17:17:59.000Z	2022-03-18T17:17:59.000Z	xoa_driver/internals/core/commands/px_commands.py	xenadevel/xena-open-automation-python-api	b17e512aa14eee7c51677004b4c91712005edcd0	[ "Apache-2.0" ]	null	null	null	xoa_driver/internals/core/commands/px_commands.py	xenadevel/xena-open-automation-python-api	b17e512aa14eee7c51677004b4c91712005edcd0	[ "Apache-2.0" ]	null	null	null	#: L23 Port Transceiver Commands from dataclasses import dataclass import typing from ..protocol.command_builders import ( build_get_request, build_set_request ) from .. import interfaces from ..transporter.token import Token from ..protocol.fields.data_types import * from ..protocol.fields.field import XmpFi...	33.02381	168	0.700072	508	4,161	5.594488	0.194882	0.054891	0.063336	0.045039	0.82829	0.754398	0.718156	0.701619	0.676988	0.641802	0.009408	0.208123	4,161	125	169	33.288	0.853111	0.314348	0.584615	0	0	0.049038	0.024896	0	0	0	0	0	1	0.076923	false	0	0.138462	0	0.692308	0	0	0	0	null	0	0	0	1	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	5
6dada164e1de575c5db21cda78d63fcb6436eab8	33	py	Python	kick/device2/elektra/actions/constants.py	CiscoDevNet/firepower-kickstart	37a36856fcdc661e8c51edaa694e48f74cc6fcb5	[ "Apache-2.0" ]	2	2020-02-10T23:36:57.000Z	2020-03-25T15:46:05.000Z	kick/device2/elektra/actions/constants.py	CiscoDevNet/firepower-kickstart	37a36856fcdc661e8c51edaa694e48f74cc6fcb5	[ "Apache-2.0" ]	1	2020-08-07T13:01:32.000Z	2020-08-07T13:01:32.000Z	kick/device2/elektra/actions/constants.py	CiscoDevNet/firepower-kickstart	37a36856fcdc661e8c51edaa694e48f74cc6fcb5	[ "Apache-2.0" ]	1	2020-02-19T13:58:35.000Z	2020-02-19T13:58:35.000Z	class ElektraConstants: pass	11	23	0.757576	3	33	8.333333	1	0	0	0	0	0	0	0	0	0	0	0.212121	33	2	24	16.5	0.961538	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	1	0	null	0	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	5
6dd35f03ff9bc671f79e8585b1d7db025e32de94	115	py	Python	tests/conftest.py	techjacker/sitemapgenerator	512d6ea6f36ac661d3e0b1275a055c381b0ce455	[ "MIT" ]	null	null	null	tests/conftest.py	techjacker/sitemapgenerator	512d6ea6f36ac661d3e0b1275a055c381b0ce455	[ "MIT" ]	null	null	null	tests/conftest.py	techjacker/sitemapgenerator	512d6ea6f36ac661d3e0b1275a055c381b0ce455	[ "MIT" ]	null	null	null	import pytest from pytest_httpbin.plugin import httpbin_ca_bundle pytest.fixture(autouse=True)(httpbin_ca_bundle)	23	51	0.869565	17	115	5.588235	0.588235	0.189474	0.315789	0	0	0	0	0	0	0	0	0.069565	115	4	52	28.75	0.88785	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	1	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	5
6dd57794c6789b5f5554c5238dd5b5fff9f2b1a6	138	py	Python	Exercise 10/exercise_code/util/__init__.py	CornellLenard/Deep-Learning-Course-Exercises	db32f2b9ab93a50580e93e9dd83be1db7c4c4a19	[ "MIT" ]	null	null	null	Exercise 10/exercise_code/util/__init__.py	CornellLenard/Deep-Learning-Course-Exercises	db32f2b9ab93a50580e93e9dd83be1db7c4c4a19	[ "MIT" ]	null	null	null	Exercise 10/exercise_code/util/__init__.py	CornellLenard/Deep-Learning-Course-Exercises	db32f2b9ab93a50580e93e9dd83be1db7c4c4a19	[ "MIT" ]	null	null	null	"""Util functions""" from .vis_utils import visualizer from .save_model import save_model from .Util import checkParams, checkSize, test	23	46	0.797101	19	138	5.631579	0.631579	0.168224	0	0	0	0	0	0	0	0	0	0.123188	138	5	47	27.6	0.884298	0.101449	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
6dddd5e456a7ccaaa8659db73eee87ff70f0dccb	91	py	Python	02-array-seq/2_13.py	393562632/example-code	4a5da5726408284aed9e01f93a25a0d8dd348fb5	[ "MIT" ]	null	null	null	02-array-seq/2_13.py	393562632/example-code	4a5da5726408284aed9e01f93a25a0d8dd348fb5	[ "MIT" ]	null	null	null	02-array-seq/2_13.py	393562632/example-code	4a5da5726408284aed9e01f93a25a0d8dd348fb5	[ "MIT" ]	null	null	null	weird_board = [['_'] * 3] *3 print(weird_board) weird_board[0][2] = 'X' print(weird_board)	18.2	28	0.659341	15	91	3.666667	0.466667	0.727273	0.545455	0	0	0	0	0	0	0	0.05	0.120879	91	5	29	18.2	0.6375	0	0.5	0	0	0.021739	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	1	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	0	0	0	1	5
6de4cb3c7c7e948bd05ee2500418fd79816b080a	438	py	Python	rubin_sim/maf/mafContrib/LSSObsStrategy/__init__.py	RileyWClarke/flarubin	eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a	[ "MIT" ]	null	null	null	rubin_sim/maf/mafContrib/LSSObsStrategy/__init__.py	RileyWClarke/flarubin	eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a	[ "MIT" ]	null	null	null	rubin_sim/maf/mafContrib/LSSObsStrategy/__init__.py	RileyWClarke/flarubin	eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a	[ "MIT" ]	null	null	null	from .newDitherStackers import * from .newDitherStackers import * from .maskingAlgorithmGeneralized import * from .saveBundleData_npzFormat import * from .numObsMetric import * from .galaxyCountsMetric_extended import * from .galaxyCounts_withPixelCalibration import * from .artificialStructureCalculation import * from ...	33.692308	48	0.835616	41	438	8.804878	0.439024	0.304709	0.149584	0.171745	0	0	0	0	0	0	0.002564	0.109589	438	12	49	36.5	0.923077	0	0.166667	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	0	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	1	0	5
09b5a2bb038f2cac57634bfef33f5cb085b77a89	48	py	Python	tests/__init__.py	jebabi/controllerx	bc68cdd69e416880e6394b3ecf92522b3871e959	[ "MIT" ]	1	2020-02-28T17:26:36.000Z	2020-02-28T17:26:36.000Z	tests/__init__.py	jebabi/controllerx	bc68cdd69e416880e6394b3ecf92522b3871e959	[ "MIT" ]	null	null	null	tests/__init__.py	jebabi/controllerx	bc68cdd69e416880e6394b3ecf92522b3871e959	[ "MIT" ]	null	null	null	import sys sys.path.append("apps/controllerx")	12	35	0.770833	7	48	5.285714	0.857143	0	0	0	0	0	0	0	0	0	0	0.083333	48	3	36	16	0.840909	0	0	0	0	0.333333	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	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	5
09bf7c1ce0c20840d83284f246ccdbf099539181	4,970	py	Python	intvalpy/linear/system_properties.py	SShary/intvalpy	42f4c8f6b23e6481f4032b0a0f7cc0d798fda3be	[ "MIT" ]	null	null	null	intvalpy/linear/system_properties.py	SShary/intvalpy	42f4c8f6b23e6481f4032b0a0f7cc0d798fda3be	[ "MIT" ]	null	null	null	intvalpy/linear/system_properties.py	SShary/intvalpy	42f4c8f6b23e6481f4032b0a0f7cc0d798fda3be	[ "MIT" ]	null	null	null	import numpy as np from scipy.optimize import minimize from intvalpy.MyClass import Interval from intvalpy.intoper import zeros def Uni(A, b, x=None, maxQ=False, x0=None, tol=1e-12, maxiter=1e3): """ Вычисление распознающего функционала Uni. В случае, если maxQ=True то находится максимум функционала. ...	31.257862	86	0.547485	545	4,970	4.915596	0.278899	0.017917	0.015677	0.024263	0.754386	0.732363	0.732363	0.732363	0.732363	0.732363	0.01129	0.376258	4,970	158	87	31.455696	0.852903	0.549698	0.395833	0	0	0.049485	0	0	0	0	0	0	1	0.0625	false	0	0.125	0	0.291667	0.020833	0	0	0	null	0	0	0	0	1	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	5
09c1b09e1644ac2346f010a7494eb66da023d9f8	88	py	Python	yad2/encoders/__init__.py	odcinek/yad2	5ecf5073a7eb9651944837e33c083c4a1e7945bc	[ "MIT" ]	null	null	null	yad2/encoders/__init__.py	odcinek/yad2	5ecf5073a7eb9651944837e33c083c4a1e7945bc	[ "MIT" ]	null	null	null	yad2/encoders/__init__.py	odcinek/yad2	5ecf5073a7eb9651944837e33c083c4a1e7945bc	[ "MIT" ]	1	2021-10-17T15:46:50.000Z	2021-10-17T15:46:50.000Z	from format2 import Format2 from format40 import Format40 from format80 import Format80	22	29	0.863636	12	88	6.333333	0.416667	0	0	0	0	0	0	0	0	0	0.131579	0.136364	88	3	30	29.333333	0.868421	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
09ca172ccac0fbc44db1af59fb9a28884f053bb0	162	py	Python	remote_control/apps.py	adrienemery/auv-control-api	44d04c070879be3a52633369886534657b2d67ca	[ "MIT" ]	null	null	null	remote_control/apps.py	adrienemery/auv-control-api	44d04c070879be3a52633369886534657b2d67ca	[ "MIT" ]	2	2016-08-03T00:37:37.000Z	2016-08-03T00:46:12.000Z	remote_control/apps.py	adrienemery/auv-control	44d04c070879be3a52633369886534657b2d67ca	[ "MIT" ]	null	null	null	from django.apps import AppConfig class RemoteControlConfig(AppConfig): name = 'remote_control' def ready(self): import remote_control.signals	18	37	0.734568	18	162	6.5	0.777778	0.222222	0	0	0	0	0	0	0	0	0	0.197531	162	8	38	20.25	0.9	0	0	0	0	0.08642	0	0	0	0	0	0	1	0.2	false	0	0.4	0	1	0	1	0	0	null	1	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	5
113341028baadbdf6860b5c685deb7e0ad58a04a	186	py	Python	utils/DiceRatio.py	jasonxingqi/3D-Unet--Tensorflow	d925d3c16d3f02c6cb9cd0e059e30f4455ff299e	[ "MIT" ]	2	2019-04-30T09:09:11.000Z	2019-05-05T01:50:15.000Z	utils/DiceRatio.py	seanbefore/3D-Unet--Tensorflow	36a24c38041ad88d74b5d5ab09ded3c3894b00b3	[ "MIT" ]	null	null	null	utils/DiceRatio.py	seanbefore/3D-Unet--Tensorflow	36a24c38041ad88d74b5d5ab09ded3c3894b00b3	[ "MIT" ]	null	null	null	import numpy as np def dice_ratio(pred, label): '''Note: pred & label should only contain 0 or 1. ''' return np.sum(pred[label==1])*2.0 / (np.sum(pred) + np.sum(label))	26.571429	70	0.607527	32	186	3.5	0.59375	0.241071	0.160714	0	0	0	0	0	0	0	0.034483	0.22043	186	7	70	26.571429	0.737931	0.247312	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0	1	0	0	0	0	null	1	0	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	1	0	1	0	5
1148006841dace7c2d15cf681638c79c776c650b	270	py	Python	pytext/data/sources/__init__.py	shruti-bh/pytext	ae84a5493a5331ac07699d3dfa5b9de521ea85ea	[ "BSD-3-Clause" ]	1	2020-10-20T09:14:15.000Z	2020-10-20T09:14:15.000Z	pytext/data/sources/__init__.py	shruti-bh/pytext	ae84a5493a5331ac07699d3dfa5b9de521ea85ea	[ "BSD-3-Clause" ]	null	null	null	pytext/data/sources/__init__.py	shruti-bh/pytext	ae84a5493a5331ac07699d3dfa5b9de521ea85ea	[ "BSD-3-Clause" ]	null	null	null	#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved from .data_source import DataSchema, DataSchemaConfig, DataSource from .tsv import TSVDataSource __all__ = ["DataSchema", "DataSchemaConfig", "DataSource", "TSVDataSource"]	30	75	0.774074	30	270	6.8	0.766667	0.254902	0.352941	0	0	0	0	0	0	0	0.004202	0.118519	270	8	76	33.75	0.852941	0.333333	0	0	0	0.275281	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	0	0	0	null	1	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	1	0	5
11649ccd701bc4417bcc78c7dc346d299411f6ad	102	py	Python	keras/legacy_tf_layers/__init__.py	tsheaff/keras	ee227dda766d769b7499a5549e8ed77b5e88105b	[ "Apache-2.0" ]	37,222	2017-12-13T00:52:55.000Z	2022-03-31T22:34:35.000Z	keras/legacy_tf_layers/__init__.py	amirsadafi/keras	f1e9c76675981ee6683f54a3ce569212d551d12d	[ "Apache-2.0" ]	7,624	2017-12-13T01:03:40.000Z	2022-03-31T23:57:24.000Z	keras/legacy_tf_layers/__init__.py	amirsadafi/keras	f1e9c76675981ee6683f54a3ce569212d551d12d	[ "Apache-2.0" ]	14,914	2017-12-13T02:30:46.000Z	2022-03-30T14:49:16.000Z	"""Init file.""" from keras.legacy_tf_layers import migration_utils # pylint: disable=unused-import	25.5	83	0.77451	14	102	5.428571	0.928571	0	0	0	0	0	0	0	0	0	0	0.107843	102	3	84	34	0.835165	0.401961	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
feccebf8b7f5ab31a62544c1a696cbcf12f4d112	1,264	py	Python	DelibeRating/DelibeRating/env/Lib/site-packages/tests/test_widgets.py	Severose/DelibeRating	5d227f35c071477ce3fd6fbf3ab13a44d13f6e08	[ "MIT" ]	1	2018-11-01T15:05:12.000Z	2018-11-01T15:05:12.000Z	DelibeRating/DelibeRating/env/Lib/site-packages/tests/test_widgets.py	Severose/DelibeRating	5d227f35c071477ce3fd6fbf3ab13a44d13f6e08	[ "MIT" ]	null	null	null	DelibeRating/DelibeRating/env/Lib/site-packages/tests/test_widgets.py	Severose/DelibeRating	5d227f35c071477ce3fd6fbf3ab13a44d13f6e08	[ "MIT" ]	null	null	null	import pytest from tempus_dominus import widgets def test_datepicker_format_localized(settings): settings.TEMPUS_DOMINUS_LOCALIZE = True widget = widgets.DatePicker() assert widget.get_js_format() == 'L' def test_datepicker_format_nonlocalized(settings): settings.TEMPUS_DOMINUS_LOCALIZE = False ...	28.088889	58	0.761867	152	1,264	6.013158	0.223684	0.043764	0.09628	0.190372	0.739606	0.71116	0.708972	0.708972	0.466083	0.466083	0	0.14557	1,264	44	59	28.727273	0.846296	0	0.413793	0	0	0.036392	0	0	0	0	0	0.206897	1	0.241379	false	0	0.068966	0	0.310345	0	0	0	0	null	0	0	1	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	0	5
fecfe168fd1f83e2b06ca1bb819712b3c0b0b0b9	293	py	Python	src/songbook/console/_update.py	kipyin/-	5d372c7d987e6a1da380197c1b990def0d240298	[ "MIT" ]	1	2021-01-03T10:40:28.000Z	2021-01-03T10:40:28.000Z	src/songbook/console/_update.py	kipyin/-	5d372c7d987e6a1da380197c1b990def0d240298	[ "MIT" ]	null	null	null	src/songbook/console/_update.py	kipyin/-	5d372c7d987e6a1da380197c1b990def0d240298	[ "MIT" ]	1	2021-01-03T10:40:29.000Z	2021-01-03T10:40:29.000Z	import click @click.group() def update(): pass @update.command("song") def _update_song(): pass @update.command("arrangement") def _update_arrangement(): pass @update.command("worship") def _update_worship(): pass @update.command("hymn") def _update_hymn(): pass	10.851852	30	0.675768	35	293	5.428571	0.314286	0.236842	0.357895	0	0	0	0	0	0	0	0	0.177474	293	26	31	11.269231	0.788382	0	0.3125	0	0	0.088737	0	0	0	0	0	0	1	0.3125	true	0.3125	0.0625	0	0.375	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	5
fef0f2eca41493ff175b1ce22f370a3502ed826a	50	py	Python	rubin_sim/scheduler/features/__init__.py	RileyWClarke/flarubin	eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a	[ "MIT" ]	null	null	null	rubin_sim/scheduler/features/__init__.py	RileyWClarke/flarubin	eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a	[ "MIT" ]	null	null	null	rubin_sim/scheduler/features/__init__.py	RileyWClarke/flarubin	eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a	[ "MIT" ]	null	null	null	from .features import * from .conditions import *	16.666667	25	0.76	6	50	6.333333	0.666667	0	0	0	0	0	0	0	0	0	0	0.16	50	2	26	25	0.904762	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
fefb10e3bc54bf078e079e6dd58a9eee22dea396	7,752	py	Python	vdp/pipeline/v1alpha/pipeline_service_pb2.py	instill-ai/protogen-python	6e118d34566b8d59e8bcd40e0ae28e0fc1a5d50f	[ "Apache-2.0" ]	1	2022-03-22T09:09:46.000Z	2022-03-22T09:09:46.000Z	vdp/pipeline/v1alpha/pipeline_service_pb2.py	instill-ai/protogen-python	6e118d34566b8d59e8bcd40e0ae28e0fc1a5d50f	[ "Apache-2.0" ]	4	2022-03-16T12:36:12.000Z	2022-03-22T10:53:12.000Z	vdp/pipeline/v1alpha/pipeline_service_pb2.py	instill-ai/protogen-python	6e118d34566b8d59e8bcd40e0ae28e0fc1a5d50f	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: vdp/pipeline/v1alpha/pipeline_service.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import...	131.389831	3,390	0.821723	1,014	7,752	6.083826	0.2357	0.102124	0.105041	0.118009	0.438969	0.281407	0.163722	0.143621	0.106014	0.053493	0.110385	0.032379	7,752	58	3,391	133.655172	0.712038	0.030444	0	1	0.325581	0.474154	0.427258	0	0	0	0	0	1	0	false	0	0.209302	0	0.209302	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	1	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	5
fefbae820a9ce01089538fc58c0ca13a3a6231eb	119	py	Python	slash/__init__.py	SilentJungle399/dpy-appcommands	d383ebd3414457aaaf1f65ff048604accb7bb1bc	[ "MIT" ]	2	2021-09-02T13:06:46.000Z	2021-09-03T07:19:54.000Z	slash/__init__.py	SilentJungle399/dpy-appcommands	d383ebd3414457aaaf1f65ff048604accb7bb1bc	[ "MIT" ]	null	null	null	slash/__init__.py	SilentJungle399/dpy-appcommands	d383ebd3414457aaaf1f65ff048604accb7bb1bc	[ "MIT" ]	1	2021-08-14T03:38:42.000Z	2021-08-14T03:38:42.000Z	__author__ = "SilentJungle399" __version__ = "1.0.0" from .client import * from .models import * from .enums import *	17	30	0.722689	15	119	5.2	0.666667	0.25641	0	0	0	0	0	0	0	0	0.06	0.159664	119	6	31	19.833333	0.72	0	0	0	0	0.168067	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	5
3a16438d4a6793d41974ba3f9e345b3deca9076f	296	py	Python	portfolio/admin.py	jokimies/django-pj-portfolio	ce32882fa3f5cc3206b2a61eb5cd88c0cdf243ec	[ "BSD-3-Clause" ]	3	2017-02-02T19:58:57.000Z	2021-08-10T14:43:37.000Z	portfolio/admin.py	jokimies/django-pj-portfolio	ce32882fa3f5cc3206b2a61eb5cd88c0cdf243ec	[ "BSD-3-Clause" ]	4	2016-01-15T14:18:37.000Z	2016-03-06T15:06:31.000Z	portfolio/admin.py	jokimies/django-pj-portfolio	ce32882fa3f5cc3206b2a61eb5cd88c0cdf243ec	[ "BSD-3-Clause" ]	2	2019-10-12T02:05:49.000Z	2022-03-08T16:25:17.000Z	from portfolio.models import Transaction, Security, Price, Account from portfolio.models import PriceTracker from django.contrib import admin admin.site.register(Transaction) admin.site.register(Security) admin.site.register(Price) admin.site.register(PriceTracker) admin.site.register(Account)	29.6	66	0.841216	38	296	6.552632	0.368421	0.180723	0.341365	0.200803	0	0	0	0	0	0	0	0.070946	296	9	67	32.888889	0.905455	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.375	0	0.375	0	0	0	0	null	0	1	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	5
3a16fcd29e32261f583e0fe17a97b6df4dbfd030	391	py	Python	OpticsLab/components.py	AzizAlqasem/OpticsLab	a68c12edc9998f0709bae3da2fa0f85778e19bf0	[ "MIT" ]	null	null	null	OpticsLab/components.py	AzizAlqasem/OpticsLab	a68c12edc9998f0709bae3da2fa0f85778e19bf0	[ "MIT" ]	null	null	null	OpticsLab/components.py	AzizAlqasem/OpticsLab	a68c12edc9998f0709bae3da2fa0f85778e19bf0	[ "MIT" ]	null	null	null	""" The components module has all optical components that are used in optics """ class Mirror: def __init__(self,): pass class Lense: def __init__(self,): pass class Mediam: def __init__(self,): pass class BeamSpliter: def __init__(self,): ...	11.848485	76	0.557545	42	391	4.714286	0.5	0.176768	0.277778	0.378788	0.40404	0	0	0	0	0	0	0.363171	391	33	77	11.848485	0.795181	0.184143	0.666667	0	0	0	0	0	0	0	0	0	1	0.333333	false	0.333333	0	0	0.666667	0	0	0	0	null	0	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	1	0	5
28a941e336c661de4e3bc64a26dac8f5e03e398f	58	py	Python	Python/Tests/TestData/AddImport/ImportFunctionFromExistingFromImportAsName.py	techkey/PTVS	8355e67eedd8e915ca49bd38a2f36172696fd903	[ "Apache-2.0" ]	404	2019-05-07T02:21:57.000Z	2022-03-31T17:03:04.000Z	Python/Tests/TestData/AddImport/ImportFunctionFromExistingFromImportAsName.py	techkey/PTVS	8355e67eedd8e915ca49bd38a2f36172696fd903	[ "Apache-2.0" ]	1,672	2019-05-06T21:09:38.000Z	2022-03-31T23:16:04.000Z	Python/Tests/TestData/AddImport/ImportFunctionFromExistingFromImportAsName.py	techkey/PTVS	8355e67eedd8e915ca49bd38a2f36172696fd903	[ "Apache-2.0" ]	186	2019-05-13T03:17:37.000Z	2022-03-31T16:24:05.000Z	from test_module import module_func_2 as oar module_func()	29	44	0.862069	11	58	4.181818	0.727273	0.434783	0	0	0	0	0	0	0	0	0.019231	0.103448	58	2	45	29	0.865385	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	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	5
28d45ba4d24a1ed53683bb58cb50eef96ffa6861	209	py	Python	winaudio/exceptions.py	Pixelsuft/winaudio	b66109771811548339905208f9034cb492768337	[ "MIT" ]	1	2021-12-15T10:17:27.000Z	2021-12-15T10:17:27.000Z	winaudio/exceptions.py	Pixelsuft/winaudio	b66109771811548339905208f9034cb492768337	[ "MIT" ]	1	2022-03-17T14:27:18.000Z	2022-03-17T14:27:29.000Z	winaudio/exceptions.py	Pixelsuft/winaudio	b66109771811548339905208f9034cb492768337	[ "MIT" ]	null	null	null	class SoundError(Exception): pass class WavePlayError(Exception): pass class ArgumentError(Exception): pass class PlayerError(Exception): pass class PlayerMciError(Exception): pass	11	32	0.722488	20	209	7.55	0.4	0.430464	0.476821	0	0	0	0	0	0	0	0	0.205742	209	18	33	11.611111	0.909639	0	0.5	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	1	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	0	0	0	0	5
28f476813b8879c19e3170513ebfab33d088e25a	93	py	Python	ror/number_utils.py	jakub-tomczak/ror	cf9ab38a2d66f4816a1289b9726911960059fce7	[ "MIT" ]	null	null	null	ror/number_utils.py	jakub-tomczak/ror	cf9ab38a2d66f4816a1289b9726911960059fce7	[ "MIT" ]	null	null	null	ror/number_utils.py	jakub-tomczak/ror	cf9ab38a2d66f4816a1289b9726911960059fce7	[ "MIT" ]	null	null	null	def format_number(number: float, precision: int) -> str: return f'{number:.{precision}f}'	46.5	56	0.698925	13	93	4.923077	0.692308	0	0	0	0	0	0	0	0	0	0	0.129032	93	2	57	46.5	0.790123	0	0	0	0	0.234043	0.234043	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	0	0	null	0	0	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	1	1	0	5
3a5d52f7066df721bcc6a4454c0e49f976cabd83	39	py	Python	kfdata/__main__.py	kylef-archive/KFData.py	685d58255c9f8518834e395d94d3b75d3dd3eceb	[ "BSD-3-Clause" ]	1	2015-11-08T13:23:39.000Z	2015-11-08T13:23:39.000Z	kfdata/__main__.py	kylef/KFData.py	685d58255c9f8518834e395d94d3b75d3dd3eceb	[ "BSD-3-Clause" ]	null	null	null	kfdata/__main__.py	kylef/KFData.py	685d58255c9f8518834e395d94d3b75d3dd3eceb	[ "BSD-3-Clause" ]	null	null	null	from kfdata.manage import main main()	9.75	30	0.769231	6	39	5	0.833333	0	0	0	0	0	0	0	0	0	0	0.153846	39	3	31	13	0.909091	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	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	5
3a5f95c4dd3189822a688ab6608502a352c54b4b	167	py	Python	slackforms/handlers/__init__.py	Albatrous/django-slack-forms	baee37942085bf2f9e35beb9a4a4aa767b319b35	[ "MIT" ]	1	2019-06-20T00:11:58.000Z	2019-06-20T00:11:58.000Z	slackforms/handlers/__init__.py	Albatrous/django-slack-forms	baee37942085bf2f9e35beb9a4a4aa767b319b35	[ "MIT" ]	3	2020-02-11T23:46:14.000Z	2021-06-10T21:10:37.000Z	slackforms/handlers/__init__.py	Albatrous/django-slack-forms	baee37942085bf2f9e35beb9a4a4aa767b319b35	[ "MIT" ]	3	2019-12-13T06:53:18.000Z	2021-06-04T07:12:56.000Z	# flake8: noqa from .form import FormHandler from .slash import SlashHandler from .manual import ManualHandler from .interactions import ActionHandler, MessageHandler	27.833333	55	0.838323	19	167	7.368421	0.684211	0	0	0	0	0	0	0	0	0	0.006803	0.11976	167	5	56	33.4	0.945578	0.071856	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
3a84202d32e5e1c571adc31fc572e8596c4a5a08	87	py	Python	rura/pipeline/__init__.py	fdabek1/rura	6779733149d7e4181be54ecb72fbd4de6d71c678	[ "MIT" ]	null	null	null	rura/pipeline/__init__.py	fdabek1/rura	6779733149d7e4181be54ecb72fbd4de6d71c678	[ "MIT" ]	null	null	null	rura/pipeline/__init__.py	fdabek1/rura	6779733149d7e4181be54ecb72fbd4de6d71c678	[ "MIT" ]	null	null	null	from .dataset import Dataset from .model import Model from .transform import Transform	21.75	32	0.827586	12	87	6	0.416667	0	0	0	0	0	0	0	0	0	0	0.137931	87	3	33	29	0.96	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
3aa041de8b903df622c3ee51ddf1f6842ee18d8c	59	py	Python	perception/navigator_vision/navigator_vision/__init__.py	czk100/NaviGator	c078c68768c1df4ad48c4c9a60a8c0bf4bdab63a	[ "MIT" ]	null	null	null	perception/navigator_vision/navigator_vision/__init__.py	czk100/NaviGator	c078c68768c1df4ad48c4c9a60a8c0bf4bdab63a	[ "MIT" ]	null	null	null	perception/navigator_vision/navigator_vision/__init__.py	czk100/NaviGator	c078c68768c1df4ad48c4c9a60a8c0bf4bdab63a	[ "MIT" ]	null	null	null	from scan_the_code_classifier import ScanTheCodeClassifier	29.5	58	0.932203	7	59	7.428571	1	0	0	0	0	0	0	0	0	0	0	0.067797	59	1	59	59	0.945455	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
3aa64d8b8830c4c3c052d815f3baf34b10969969	168	py	Python	core/admin.py	yasminfarza/country-state-address-api	39c8d349095dcca4f2411f7097497d6a8f39c1e1	[ "MIT" ]	4	2021-06-06T14:16:33.000Z	2021-06-09T03:42:11.000Z	core/admin.py	yasminfarza/country-state-address-api	39c8d349095dcca4f2411f7097497d6a8f39c1e1	[ "MIT" ]	null	null	null	core/admin.py	yasminfarza/country-state-address-api	39c8d349095dcca4f2411f7097497d6a8f39c1e1	[ "MIT" ]	null	null	null	from django.contrib import admin from core.models import Country, State, Address admin.site.register(Country) admin.site.register(State) admin.site.register(Address)	21	47	0.815476	24	168	5.708333	0.5	0.19708	0.372263	0	0	0	0	0	0	0	0	0.089286	168	7	48	24	0.895425	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	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	5
3adf36991cec5979dbe14a96fcb6614f4fd9f191	12,144	py	Python	team_9/cocos/utest/test_euclid.py	Donnyvdm/dojo19	3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400	[ "BSD-3-Clause" ]	1	2019-09-15T18:59:49.000Z	2019-09-15T18:59:49.000Z	team_9/cocos/utest/test_euclid.py	Donnyvdm/dojo19	3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400	[ "BSD-3-Clause" ]	null	null	null	team_9/cocos/utest/test_euclid.py	Donnyvdm/dojo19	3cf043a84e3ad6d3c4d59cd9c50b160e1ff03400	[ "BSD-3-Clause" ]	null	null	null	from __future__ import division, print_function, unicode_literals import cocos.euclid as eu import unittest import copy try: import cPickle as pickle except Exception: import pickle import io class Test_Vector2(unittest.TestCase): def test_instantiate(self): xy = (1.0, 2.0) v2 = eu.Vector...	30.512563	81	0.525115	1,786	12,144	3.472564	0.077828	0.188649	0.018381	0.023218	0.844566	0.790874	0.74605	0.725411	0.675427	0.669623	0.083373	0.307642	12,144	397	82	30.589421	0.654258	0.025609	0.67619	0	0	0.023338	0	0	0	0	0	0.365079	1	0.126984	false	0	0.022222	0	0.161905	0.003175	0	0	0	null	0	0	0	1	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	5
3af126e2b1c1da6fe4b8a9b65f8ca9e789c79dde	191	py	Python	apps/access/admin.py	usdigitalresponse/rtovid-encampments	b9d0b6ff27c0b47e31b5db5b0f2f92a1da446f86	[ "MIT" ]	1	2021-06-22T10:11:10.000Z	2021-06-22T10:11:10.000Z	apps/access/admin.py	usdigitalresponse/rtovid-encampments	b9d0b6ff27c0b47e31b5db5b0f2f92a1da446f86	[ "MIT" ]	23	2020-05-28T01:00:01.000Z	2020-06-23T12:49:55.000Z	apps/access/admin.py	RTCovid/encampments	b9d0b6ff27c0b47e31b5db5b0f2f92a1da446f86	[ "MIT" ]	null	null	null	from django.contrib.gis import admin from apps.access.models import InvitedEmail class InvitedEmailAdmin(admin.ModelAdmin): pass admin.site.register(InvitedEmail, InvitedEmailAdmin)	17.363636	52	0.816754	22	191	7.090909	0.727273	0	0	0	0	0	0	0	0	0	0	0.115183	191	10	53	19.1	0.923077	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.4	0	0.6	0	1	0	0	null	0	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	5
aaee23ba02e2df2083e1a2d6aa2430790b04b2a3	35	py	Python	src/utils/__init__.py	Columbine21/Hierarchical-Attention-Networks	623840970cb302c7f74515ffff1560c0131b975e	[ "MIT" ]	1	2021-03-15T02:45:28.000Z	2021-03-15T02:45:28.000Z	src/utils/__init__.py	Columbine21/Hierarchical-Attention-Networks	623840970cb302c7f74515ffff1560c0131b975e	[ "MIT" ]	null	null	null	src/utils/__init__.py	Columbine21/Hierarchical-Attention-Networks	623840970cb302c7f74515ffff1560c0131b975e	[ "MIT" ]	null	null	null	from .vocab import gloveVocabulary	17.5	34	0.857143	4	35	7.5	1	0	0	0	0	0	0	0	0	0	0	0.114286	35	1	35	35	0.967742	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	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	5
c94170821cd5e437201c56213668e61ba65bc8e5	21,018	py	Python	methcomp/regression.py	daneishdespot/methcomp	767d85aa56a8fda372847585decca8879ec2ac98	[ "MIT" ]	null	null	null	methcomp/regression.py	daneishdespot/methcomp	767d85aa56a8fda372847585decca8879ec2ac98	[ "MIT" ]	null	null	null	methcomp/regression.py	daneishdespot/methcomp	767d85aa56a8fda372847585decca8879ec2ac98	[ "MIT" ]	null	null	null	import matplotlib.pyplot as plt import pandas as pd import scipy.stats as st import statsmodels.api as sm import math import numpy as np __all__ = ["deming", "passingbablok", "linear"] class _Deming(object): """Internal class for drawing a Deming regression plot""" def __init__(self, method1, method2, ...	39.433396	118	0.591683	2,856	21,018	4.245448	0.108193	0.011876	0.016082	0.017814	0.777072	0.75868	0.742351	0.732784	0.717856	0.717856	0.023136	0.304929	21,018	532	119	39.507519	0.806831	0.329717	0.65233	0	0.010753	0.06883	0.003423	0	0	0	0	0	1	0.057348	false	0.014337	0.021505	0	0.103943	0	0	0	0	null	0	0	0	0	1	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	5
c94dc603c09e41f347618a870bb8e3d545494ed0	61	py	Python	run.py	Tokisaki-Kurumi001/ASMART-34	04ffbabe4a1c18f8ed68a2ee883145985fc5ec7f	[ "MIT" ]	3	2021-04-17T08:34:08.000Z	2021-04-17T08:57:23.000Z	run.py	Tokisaki-Kurumi001/ASMART-34	04ffbabe4a1c18f8ed68a2ee883145985fc5ec7f	[ "MIT" ]	null	null	null	run.py	Tokisaki-Kurumi001/ASMART-34	04ffbabe4a1c18f8ed68a2ee883145985fc5ec7f	[ "MIT" ]	null	null	null	import os os.system('python function_18351015.py > log.txt')	20.333333	50	0.770492	10	61	4.6	0.9	0	0	0	0	0	0	0	0	0	0.145455	0.098361	61	2	51	30.5	0.690909	0	0	0	0	0.606557	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	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	1	0	0	0	5
c97e6b1f40a5bb81ae2c559b1a1285a802b08835	53	py	Python	social/backends/ubuntu.py	raccoongang/python-social-auth	81c0a542d158772bd3486d31834c10af5d5f08b0	[ "BSD-3-Clause" ]	1,987	2015-01-01T16:12:45.000Z	2022-03-29T14:24:25.000Z	social/backends/ubuntu.py	raccoongang/python-social-auth	81c0a542d158772bd3486d31834c10af5d5f08b0	[ "BSD-3-Clause" ]	731	2015-01-01T22:55:25.000Z	2022-03-10T15:07:51.000Z	virtual/lib/python3.6/site-packages/social/backends/ubuntu.py	dennismwaniki67/awards	80ed10541f5f751aee5f8285ab1ad54cfecba95f	[ "MIT" ]	1,082	2015-01-01T16:27:26.000Z	2022-03-22T21:18:33.000Z	from social_core.backends.ubuntu import UbuntuOpenId	26.5	52	0.886792	7	53	6.571429	1	0	0	0	0	0	0	0	0	0	0	0.075472	53	1	53	53	0.938776	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
a31fadf9b33e9208ee29c713435331b8514e5684	9,786	py	Python	derender/networks.py	tonyman1008/RADAR	b2fc944230c2fd445528a9827eea42e1a94957b8	[ "CC0-1.0" ]	38	2021-08-19T18:07:49.000Z	2022-02-28T10:41:29.000Z	derender/networks.py	tonyman1008/RADAR	b2fc944230c2fd445528a9827eea42e1a94957b8	[ "CC0-1.0" ]	1	2021-10-30T14:43:18.000Z	2021-11-13T01:18:53.000Z	derender/networks.py	tonyman1008/RADAR	b2fc944230c2fd445528a9827eea42e1a94957b8	[ "CC0-1.0" ]	5	2021-08-20T05:12:42.000Z	2022-01-13T06:14:27.000Z	import numpy as np import torch import torch.nn as nn import torchvision EPS = 1e-7 class Encoder(nn.Module): def __init__(self, cin, cout, in_size=64, nf=64, activation=nn.Tanh): super(Encoder, self).__init__() network = [ nn.Conv2d(cin, nf, kernel_size=4, stride=2, padding=1, bias=...	41.466102	128	0.54251	1,317	9,786	3.917236	0.082764	0.065904	0.052336	0.079085	0.80093	0.776895	0.752665	0.715061	0.68521	0.634619	0.074602	0.312385	9,786	235	129	41.642553	0.692079	0.059984	0.60101	0	0	0.011468	0	0	0	0	0	0	1	0.040404	false	0	0.020202	0.010101	0.106061	0	0	0	0	null	0	0	0	1	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	5
a32d307b1fe682f59762c7e5a70a9d45122fc794	117	py	Python	tools/inject_pydoc/idp.py	fengjixuchui/src	0c5a6cd8057717f73b1373f8d85eb9b19e1934e1	[ "BSD-3-Clause" ]	1,160	2015-05-02T15:13:20.000Z	2022-03-31T20:04:28.000Z	tools/inject_pydoc/idp.py	fengjixuchui/src	0c5a6cd8057717f73b1373f8d85eb9b19e1934e1	[ "BSD-3-Clause" ]	19	2015-04-20T13:47:00.000Z	2021-07-07T13:00:42.000Z	tools/inject_pydoc/idp.py	fengjixuchui/src	0c5a6cd8057717f73b1373f8d85eb9b19e1934e1	[ "BSD-3-Clause" ]	257	2015-04-01T21:42:33.000Z	2022-03-10T11:57:51.000Z	{ "ev_get_bg_color" : { "repl_text" : ("(self, color, ea) -> int", "(self, ea) -> int or None"), } }	19.5	80	0.452991	15	117	3.266667	0.733333	0.204082	0	0	0	0	0	0	0	0	0	0.299145	117	5	81	23.4	0.597561	0	0	0	0	0.623932	0	0	0	0	0	0	1	0	true	0	0	0	0	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	0	5
a3842c6138c7e752e05c72628b0129a00a3d511f	1,617	py	Python	tests/test_reduce_sum.py	gavinuhma/tf-encrypted	4e18d78a151bbe91489a1773fb839b889ff5b460	[ "Apache-2.0" ]	3	2018-10-18T19:36:02.000Z	2020-07-05T19:46:23.000Z	tests/test_reduce_sum.py	dropoutlabs/tf-encrypted	48c9dc7419163425e736ad05bb19980d134fc851	[ "Apache-2.0" ]	null	null	null	tests/test_reduce_sum.py	dropoutlabs/tf-encrypted	48c9dc7419163425e736ad05bb19980d134fc851	[ "Apache-2.0" ]	null	null	null	# pylint: disable=missing-docstring import unittest import numpy as np import tensorflow as tf import tf_encrypted as tfe class TestReduceSum(unittest.TestCase): def setUp(self): tf.reset_default_graph() def test_reduce_sum_1d(self): t = [1, 2] with tf.Session() as sess: out = tf.reduce_sum(t...	24.134328	54	0.650588	238	1,617	4.231092	0.256303	0.080437	0.077458	0.047666	0.749752	0.749752	0.749752	0.749752	0.749752	0.749752	0.011138	0.222635	1,617	66	55	24.5	0.789976	0.020408	0.622222	0	0	0.005057	0	0	0	0	0	0.066667	1	0.088889	false	0	0.088889	0	0.2	0	0	0	0	null	0	0	0	0	1	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	5
a3a5bb350e05522589702afb78e2a9430fe6a8c4	1,061	py	Python	test.py	vinsmokemau/NQueens	7c9291f655b8e4f0ce4c6c5d07a80440f8f2c0a8	[ "MIT" ]	null	null	null	test.py	vinsmokemau/NQueens	7c9291f655b8e4f0ce4c6c5d07a80440f8f2c0a8	[ "MIT" ]	null	null	null	test.py	vinsmokemau/NQueens	7c9291f655b8e4f0ce4c6c5d07a80440f8f2c0a8	[ "MIT" ]	null	null	null	import unittest from algorithm import NQueens class TestNQueens(unittest.TestCase): def test_1_queen(self): self.assertEqual(NQueens(1).solutions, 1) def test_2_queen(self): self.assertEqual(NQueens(2).solutions, 0) def test_3_queen(self): self.assertEqual(NQueens(3).solutions, ...	25.878049	65	0.673893	147	1,061	4.693878	0.258503	0.26087	0.188406	0.347826	0.449275	0	0	0	0	0	0.05006	0.209237	1,061	40	66	26.525	0.772348	0	0	0	0	0.020735	0	0	0	0	0	0.444444	1	0.407407	false	0	0.074074	0	0.518519	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	0	0	5
6e7654580b77f1dbecf04a37ead830e9b06ecf31	198	py	Python	mwptoolkit/module/Encoder/__init__.py	ShubhamAnandJain/MWP-CS229	ce86233504fdb37e104a3944fd81d4606fbfa621	[ "MIT" ]	71	2021-03-08T06:06:15.000Z	2022-03-30T11:59:37.000Z	mwptoolkit/module/Encoder/__init__.py	ShubhamAnandJain/MWP-CS229	ce86233504fdb37e104a3944fd81d4606fbfa621	[ "MIT" ]	13	2021-09-07T12:38:23.000Z	2022-03-22T15:08:16.000Z	mwptoolkit/module/Encoder/__init__.py	ShubhamAnandJain/MWP-CS229	ce86233504fdb37e104a3944fd81d4606fbfa621	[ "MIT" ]	21	2021-02-16T07:46:36.000Z	2022-03-23T13:41:33.000Z	from __future__ import absolute_import from __future__ import print_function from __future__ import division from mwptoolkit.module.Encoder import graph_based_encoder,rnn_encoder,transformer_encoder	49.5	89	0.90404	26	198	6.192308	0.538462	0.186335	0.298137	0	0	0	0	0	0	0	0	0.075758	198	4	89	49.5	0.879781	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0.25	1	0	0	null	0	1	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	5
6e91c4809b083bd8e190189c7a4286818bc08e69	3,673	py	Python	deprecated.py	thu-fit/DCGAN-anime	da549bd45a6ca3c4c5a8894945d3242c59f823a0	[ "MIT" ]	null	null	null	deprecated.py	thu-fit/DCGAN-anime	da549bd45a6ca3c4c5a8894945d3242c59f823a0	[ "MIT" ]	null	null	null	deprecated.py	thu-fit/DCGAN-anime	da549bd45a6ca3c4c5a8894945d3242c59f823a0	[ "MIT" ]	null	null	null	def sampler(self, z, y=None): '''generate iamge given z''' with tf.variable_scope("generator") as scope: # we hope the weights defined in generator to be reused scope.reuse_variables() if not self.y_dim: s_h, s_w = self.output_height, self.output_width s_h2, s_w2 = conv_ou...	39.494624	103	0.613395	702	3,673	2.918803	0.138177	0.054661	0.085896	0.11713	0.748658	0.72572	0.72572	0.695461	0.695461	0.679356	0.070768	0.234413	3,673	92	104	39.923913	0.657895	0.053907	0.525424	1	0	0.026938	0	0	0	0	0	0	0	null	null	0	0	null	null	0	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	1	0	0	0	0	0	0	0	5
6ea56221c4382d050ea20b187d845407bd8d039d	90	py	Python	renormalizer/mps/tdh/__init__.py	liwt31/Renormalizer	123a9d53f4f5f32c0088c255475f0ee60d02c745	[ "Apache-2.0" ]	null	null	null	renormalizer/mps/tdh/__init__.py	liwt31/Renormalizer	123a9d53f4f5f32c0088c255475f0ee60d02c745	[ "Apache-2.0" ]	null	null	null	renormalizer/mps/tdh/__init__.py	liwt31/Renormalizer	123a9d53f4f5f32c0088c255475f0ee60d02c745	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- from renormalizer.mps.tdh.propagation import unitary_propagation	22.5	64	0.755556	11	90	6.090909	0.909091	0	0	0	0	0	0	0	0	0	0.0125	0.111111	90	3	65	30	0.825	0.233333	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
6eaaaf9c78bb564348f5f92937368a9dbc35cca5	66	py	Python	src/clusto/drivers/devices/networkswitches/__init__.py	rongoro/clusto	d6425433e5132e8778feeb9db4b8dd80b933b030	[ "BSD-3-Clause" ]	5	2015-07-19T08:28:01.000Z	2021-07-08T14:49:27.000Z	src/clusto/drivers/devices/networkswitches/__init__.py	wt/clusto	c114ce7c42dcfa33c1e79f4d3b49313115fea06b	[ "BSD-3-Clause" ]	null	null	null	src/clusto/drivers/devices/networkswitches/__init__.py	wt/clusto	c114ce7c42dcfa33c1e79f4d3b49313115fea06b	[ "BSD-3-Clause" ]	5	2015-01-06T07:57:07.000Z	2021-11-10T18:01:33.000Z	from basicnetworkswitch import * from cisconetworkswitch import *	22	32	0.848485	6	66	9.333333	0.666667	0	0	0	0	0	0	0	0	0	0	0.121212	66	2	33	33	0.965517	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
42b8718fafc7a5efe59718792e559a9ba4afb7ac	38	py	Python	jetbrains-academy/Zookeeper/Problems/Print an integer/task.py	robinpatra/ML-Study-3	6f401706a8da4cac5e63304ce09ff6ff62756d0b	[ "MIT" ]	null	null	null	jetbrains-academy/Zookeeper/Problems/Print an integer/task.py	robinpatra/ML-Study-3	6f401706a8da4cac5e63304ce09ff6ff62756d0b	[ "MIT" ]	null	null	null	jetbrains-academy/Zookeeper/Problems/Print an integer/task.py	robinpatra/ML-Study-3	6f401706a8da4cac5e63304ce09ff6ff62756d0b	[ "MIT" ]	null	null	null	# put your python code here print(10)	12.666667	27	0.736842	7	38	4	1	0	0	0	0	0	0	0	0	0	0.064516	0.184211	38	2	28	19	0.83871	0.657895	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	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	1	5
42d1b2020952de616b4d4ac7d2ca23c0bbc1bae9	144	py	Python	tests/test_sass-director.py	Sass-Director/Sass-Director_Sublime	57dff551213b4884c603cb69700fa2583f646202	[ "MIT" ]	4	2015-07-08T14:25:24.000Z	2021-01-20T22:11:09.000Z	tests/test_sass-director.py	Sass-Director/Sass-Director_Sublime	57dff551213b4884c603cb69700fa2583f646202	[ "MIT" ]	4	2015-06-16T19:48:59.000Z	2020-06-23T17:17:38.000Z	tests/test_sass-director.py	Sass-Director/Sass-Director_Sublime	57dff551213b4884c603cb69700fa2583f646202	[ "MIT" ]	2	2015-01-24T17:38:48.000Z	2017-04-18T13:23:46.000Z	# Load in test framework from sublime_plugin_tests import framework class TestExample(framework.TestCase): def sampleTest(): pass	18	42	0.75	17	144	6.235294	0.882353	0	0	0	0	0	0	0	0	0	0	0.194444	144	7	43	20.571429	0.913793	0.152778	0	0	0	0	0	0	0	0	0	0	1	0.25	true	0.25	0.25	0	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	0	5
42e887c8fdf1e23d81a9463a69d52200b7a5826e	67	py	Python	pyrallest/__init__.py	ivancrneto/pyrallest	158780c418ae276935fb155e82b18db242cd98e5	[ "MIT" ]	null	null	null	pyrallest/__init__.py	ivancrneto/pyrallest	158780c418ae276935fb155e82b18db242cd98e5	[ "MIT" ]	null	null	null	pyrallest/__init__.py	ivancrneto/pyrallest	158780c418ae276935fb155e82b18db242cd98e5	[ "MIT" ]	null	null	null	def main(): print('This is the very beginning of pyrallest')	13.4	52	0.671642	10	67	4.5	1	0	0	0	0	0	0	0	0	0	0	0.223881	67	4	53	16.75	0.865385	0	0	0	0	0.6	0	0	0	0	0	0	1	0.5	true	0	0	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	1	5
6e1de2b972d3bacd17bc4fe230cc40342951d8ec	130	py	Python	code/helpers/__init__.py	briandesilva/discovery-of-physics-from-data	b79c34317f049c9b47aaf2cc4c54c5ec7219f3d7	[ "MIT" ]	11	2020-07-02T01:48:27.000Z	2022-03-29T18:23:32.000Z	code/helpers/__init__.py	briandesilva/discovery-of-physics-from-data	b79c34317f049c9b47aaf2cc4c54c5ec7219f3d7	[ "MIT" ]	null	null	null	code/helpers/__init__.py	briandesilva/discovery-of-physics-from-data	b79c34317f049c9b47aaf2cc4c54c5ec7219f3d7	[ "MIT" ]	3	2020-11-21T09:11:21.000Z	2022-03-29T18:23:58.000Z	from .library import * from .differentiation import * from .sindy_ball import SINDyBall from .tests import * from .utils import *	21.666667	33	0.776923	17	130	5.882353	0.529412	0.3	0	0	0	0	0	0	0	0	0	0.153846	130	5	34	26	0.909091	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	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	5
287d866f9124af9905e3876a7fc982e255ffcb59	157	py	Python	npt/pipelines/__init__.py	chbrandt/npt	7d58db9987c8f4d93c4e61e1fc98cce38733d06e	[ "MIT" ]	null	null	null	npt/pipelines/__init__.py	chbrandt/npt	7d58db9987c8f4d93c4e61e1fc98cce38733d06e	[ "MIT" ]	2	2022-02-18T16:38:13.000Z	2022-02-18T16:56:33.000Z	npt/pipelines/__init__.py	chbrandt/npt	7d58db9987c8f4d93c4e61e1fc98cce38733d06e	[ "MIT" ]	1	2022-03-15T09:03:51.000Z	2022-03-15T09:03:51.000Z	from npt import log from . import search as Search from . import download as Download from . import processing as Processing from . import mosaic as Mosaic	22.428571	38	0.789809	24	157	5.166667	0.375	0.322581	0	0	0	0	0	0	0	0	0	0.184713	157	6	39	26.166667	0.96875	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	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	5
2895a62d74a6cf74dd272cfa08d6a6029b8f3434	48	py	Python	starfish/__main__.py	haoxusci/starfish	d7bd856024c75f2ce41504406f2a663566c3814b	[ "MIT" ]	164	2018-03-21T21:52:56.000Z	2022-03-23T17:14:39.000Z	starfish/__main__.py	lbgbox/starfish	0e879d995d5c49b6f5a842e201e3be04c91afc7e	[ "MIT" ]	1,728	2018-03-15T23:16:09.000Z	2022-03-12T00:09:18.000Z	starfish/__main__.py	lbgbox/starfish	0e879d995d5c49b6f5a842e201e3be04c91afc7e	[ "MIT" ]	66	2018-03-25T17:21:15.000Z	2022-01-16T09:17:11.000Z	from .core.starfish import starfish starfish()	12	35	0.791667	6	48	6.333333	0.666667	0	0	0	0	0	0	0	0	0	0	0.125	48	3	36	16	0.904762	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	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	5
28a386192b68f112112b6e68f5293867934e803f	167	py	Python	demo/deep_learning/base/second_stage_bounding_box_prediction/dcn_feature_calibration.py	jihuacao/Putil	b753fc94bea4cbda00f483681c55f0e9f54adef2	[ "Apache-2.0" ]	1	2018-12-09T06:09:29.000Z	2018-12-09T06:09:29.000Z	demo/deep_learning/base/second_stage_bounding_box_prediction/dcn_feature_calibration.py	jihuacao/Putil	b753fc94bea4cbda00f483681c55f0e9f54adef2	[ "Apache-2.0" ]	null	null	null	demo/deep_learning/base/second_stage_bounding_box_prediction/dcn_feature_calibration.py	jihuacao/Putil	b753fc94bea4cbda00f483681c55f0e9f54adef2	[ "Apache-2.0" ]	null	null	null	# coding=utf-8 import torch class RotateRectangleDCNFeatureCalibration(torch.nn.Module): def __init__(self): torch.nn.Module.__init__(self) pass	20.875	60	0.712575	20	167	5.6	0.7	0.125	0.232143	0	0	0	0	0	0	0	0.007353	0.185629	167	8	61	20.875	0.808824	0.071856	0	0	0	0	0	0	0	0	0	0	0	null	null	0.2	0.2	null	null	0	1	0	0	null	0	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	1	0	0	0	0	5
9547e7b57fef282a81e3052edbdb2d34bb2cd61a	222	py	Python	src/honey.py	terror/golf	9d38f8376c2ddbbb34360a3353ec6f4289736bd4	[ "Unlicense" ]	null	null	null	src/honey.py	terror/golf	9d38f8376c2ddbbb34360a3353ec6f4289736bd4	[ "Unlicense" ]	null	null	null	src/honey.py	terror/golf	9d38f8376c2ddbbb34360a3353ec6f4289736bd4	[ "Unlicense" ]	null	null	null	# https://open.kattis.com/problems/honey print(*(lambda x: [x[int(input())] for _ in range(int(input()))])([1, 0, 6, 12, 90, 360, 2040, 10080, 54810, 290640, 1588356, 8676360, 47977776, 266378112, 1488801600]), sep="\n")	55.5	179	0.657658	34	222	4.264706	0.911765	0.110345	0	0	0	0	0	0	0	0	0.360406	0.112613	222	3	180	74	0.375635	0.171171	0	0	0	0.010989	0	0	0	0	0	0	1	0	true	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	5
95a163ba2b23c18ae5bb7535ab4caa4e069308b6	144	py	Python	bolt/core/exceptions.py	ph7vc/CL4M-B0T	e992cf63b1215ea7c241cab94edc251653dbaed7	[ "MIT" ]	9	2019-02-17T06:33:14.000Z	2021-10-05T02:19:00.000Z	bolt/core/exceptions.py	ns-phennessy/Bolt	e992cf63b1215ea7c241cab94edc251653dbaed7	[ "MIT" ]	28	2019-02-10T07:48:05.000Z	2021-12-20T00:15:37.000Z	bolt/core/exceptions.py	ph7vc/CL4M-B0T	e992cf63b1215ea7c241cab94edc251653dbaed7	[ "MIT" ]	4	2015-03-13T03:58:55.000Z	2015-05-27T08:29:46.000Z	class InvalidConfigurationError(Exception): pass class InvalidBotToken(Exception): pass class InvalidBotPlugin(Exception): pass	13.090909	43	0.763889	12	144	9.166667	0.5	0.354545	0.327273	0	0	0	0	0	0	0	0	0.173611	144	10	44	14.4	0.92437	0	0.5	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	1	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	0	0	0	0	5
95b525d705b0f34eba83af30d5fc61bd4affc2f0	48	pyw	Python	seemee.pyw	gaming32/SeeMee	a99655efdd9e1aea218474bcdbd1370954a366d2	[ "MIT" ]	null	null	null	seemee.pyw	gaming32/SeeMee	a99655efdd9e1aea218474bcdbd1370954a366d2	[ "MIT" ]	null	null	null	seemee.pyw	gaming32/SeeMee	a99655efdd9e1aea218474bcdbd1370954a366d2	[ "MIT" ]	null	null	null	import runpy runpy._run_module_as_main('SeeMee')	24	35	0.854167	8	48	4.625	0.875	0	0	0	0	0	0	0	0	0	0	0.041667	48	2	35	24	0.804348	0	0	0	0	0.122449	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	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	5
95cae2c1de14d040a592e9ed57f23f978ae86e71	150	py	Python	test_cases/conftest.py	majdukovic/pybooker	b9a373d556be0481c93a528f731407ca7a47b11f	[ "MIT" ]	null	null	null	test_cases/conftest.py	majdukovic/pybooker	b9a373d556be0481c93a528f731407ca7a47b11f	[ "MIT" ]	null	null	null	test_cases/conftest.py	majdukovic/pybooker	b9a373d556be0481c93a528f731407ca7a47b11f	[ "MIT" ]	null	null	null	import pytest from framework.services.booker_client import BookerClient booker_client = BookerClient() @pytest.fixture() def clear_env(): pass	15	57	0.786667	18	150	6.388889	0.722222	0.208696	0	0	0	0	0	0	0	0	0	0.133333	150	9	58	16.666667	0.884615	0	0	0	0	0	0	0	0	0	0	0	1	0.166667	false	0.166667	0.333333	0	0.5	0	1	0	0	null	1	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	1	0	0	0	5
252147a24fb71425db336b4bd835e50e021bad1a	1,649	py	Python	acme/agents/jax/ail/__init__.py	Tsaousis/acme	14278693bcc5fef0839ac60792d452d3d80acfd7	[ "Apache-2.0" ]	2,650	2020-06-01T16:31:25.000Z	2022-03-31T07:32:41.000Z	acme/agents/jax/ail/__init__.py	Tsaousis/acme	14278693bcc5fef0839ac60792d452d3d80acfd7	[ "Apache-2.0" ]	199	2020-06-02T01:09:09.000Z	2022-03-31T17:11:20.000Z	acme/agents/jax/ail/__init__.py	Tsaousis/acme	14278693bcc5fef0839ac60792d452d3d80acfd7	[ "Apache-2.0" ]	344	2020-06-01T16:45:21.000Z	2022-03-30T11:15:09.000Z	# Copyright 2018 DeepMind Technologies Limited. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...	45.805556	74	0.814433	258	1,649	5.170543	0.383721	0.113943	0.1994	0.242129	0.444528	0.39955	0.36057	0.15967	0	0	0.005468	0.112796	1,649	35	75	47.114286	0.906357	0.376592	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	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	1	0	5
2530a05e38dc4778931bafbbddc794641c581d85	28,045	py	Python	tests/test_subnetlaplace.py	georgezefko/Laplace	c488f7bf739297bab5d771f65635352a07716ca0	[ "MIT" ]	null	null	null	tests/test_subnetlaplace.py	georgezefko/Laplace	c488f7bf739297bab5d771f65635352a07716ca0	[ "MIT" ]	null	null	null	tests/test_subnetlaplace.py	georgezefko/Laplace	c488f7bf739297bab5d771f65635352a07716ca0	[ "MIT" ]	null	null	null	import pytest from itertools import product import torch from torch import nn from torch.nn.utils import parameters_to_vector from torch.utils.data import DataLoader, TensorDataset from torchvision.models import wide_resnet50_2 from laplace import Laplace, SubnetLaplace, FullSubnetLaplace, DiagSubnetLaplace from lapl...	46.976549	117	0.724764	3,273	28,045	6.000306	0.077299	0.076582	0.029788	0.058659	0.818779	0.780793	0.759356	0.727379	0.688477	0.629156	0.008448	0.193796	28,045	597	118	46.976549	0.86015	0.146265	0.657895	0	0	0.041021	0.011816	0	0	0	0	0.131579	1	0.033493	false	0	0.023923	0.002392	0.07177	0	0	0	0	null	0	0	0	1	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	5
2540e4b774668ff785e806c6ddc07e0e515e0f5f	172	py	Python	math_lib.py	cu-swe4s-fall-2020/version-control-rezgarshakeri	859f863a71dbab5714a1f24e54933a0b4398790b	[ "MIT" ]	null	null	null	math_lib.py	cu-swe4s-fall-2020/version-control-rezgarshakeri	859f863a71dbab5714a1f24e54933a0b4398790b	[ "MIT" ]	null	null	null	math_lib.py	cu-swe4s-fall-2020/version-control-rezgarshakeri	859f863a71dbab5714a1f24e54933a0b4398790b	[ "MIT" ]	null	null	null	import numpy as np def div(a, b): if b == 0: print("denominator iz zero!!!") return np.inf else: return a/b def add(a,b): return (a+b)	15.636364	39	0.511628	29	172	3.034483	0.62069	0.090909	0.181818	0	0	0	0	0	0	0	0.008929	0.348837	172	11	40	15.636364	0.776786	0	0	0	0	0.127168	0	0	0	0	0	0	1	0.222222	false	0	0.111111	0.111111	0.666667	0.111111	1	0	0	null	0	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	5
25456b38415fb42cb49ec1c612d93c5272eac7b9	331	py	Python	quantdsl/infrastructure/event_sourced_repos/contract_specification_repo.py	johnbywater/quantdsl	81c1c69f27e094a6ed0542b28cf1ac8fcce5494a	[ "BSD-3-Clause" ]	269	2015-01-09T00:56:41.000Z	2022-03-30T17:09:46.000Z	quantdsl/infrastructure/event_sourced_repos/contract_specification_repo.py	johnbywater/quantdsl	81c1c69f27e094a6ed0542b28cf1ac8fcce5494a	[ "BSD-3-Clause" ]	22	2017-04-01T13:44:56.000Z	2018-09-10T11:48:56.000Z	quantdsl/infrastructure/event_sourced_repos/contract_specification_repo.py	johnbywater/quantdsl	81c1c69f27e094a6ed0542b28cf1ac8fcce5494a	[ "BSD-3-Clause" ]	59	2015-01-09T00:56:50.000Z	2022-03-13T23:52:27.000Z	from eventsourcing.infrastructure.event_sourced_repo import EventSourcedRepository from quantdsl.domain.model.contract_specification import ContractSpecification, ContractSpecificationRepository class ContractSpecificationRepo(ContractSpecificationRepository, EventSourcedRepository): domain_class = ContractSpeci...	33.1	111	0.89426	24	331	12.166667	0.708333	0	0	0	0	0	0	0	0	0	0	0.072508	331	9	112	36.777778	0.95114	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	1	0	1	0	1	null	0	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	5
c26b884dd3d4d5b8b8e569db3554db56ec68bc33	129	py	Python	Code/YOLO/darkflow/darkflow/net/build.py	kalvin-osoro/ml_project	bf0bdc5719f2712682dd070045a5f1edf933a0c4	[ "Apache-2.0" ]	null	null	null	Code/YOLO/darkflow/darkflow/net/build.py	kalvin-osoro/ml_project	bf0bdc5719f2712682dd070045a5f1edf933a0c4	[ "Apache-2.0" ]	null	null	null	Code/YOLO/darkflow/darkflow/net/build.py	kalvin-osoro/ml_project	bf0bdc5719f2712682dd070045a5f1edf933a0c4	[ "Apache-2.0" ]	null	null	null	version https://git-lfs.github.com/spec/v1 oid sha256:ea33786bb4be2c91d879beaff23346f37c5b4b5b8504df61a909e3570d67eb08 size 5150	32.25	75	0.883721	13	129	8.769231	1	0	0	0	0	0	0	0	0	0	0.382114	0.046512	129	3	76	43	0.544715	0	0	0	0	0	0	0	1	0	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	5
c27e409359b0212f22ca1f835566250303f86f95	165	py	Python	customers/tests/test_gemsutils.py	dcopm999/sibdev	9dc01ed5d172869d4870c847f01d168602f31be8	[ "MIT" ]	null	null	null	customers/tests/test_gemsutils.py	dcopm999/sibdev	9dc01ed5d172869d4870c847f01d168602f31be8	[ "MIT" ]	null	null	null	customers/tests/test_gemsutils.py	dcopm999/sibdev	9dc01ed5d172869d4870c847f01d168602f31be8	[ "MIT" ]	null	null	null	from django.test import TestCase from customers.gems_utils import Gems class GemUtilsCase(TestCase): def setUp(self): self.gems = Gems() pass	16.5	37	0.690909	21	165	5.380952	0.666667	0	0	0	0	0	0	0	0	0	0	0.236364	165	9	38	18.333333	0.896825	0	0	0	0	0	0	0	0	0	0	0	1	0.166667	false	0.166667	0.333333	0	0.666667	0	1	0	0	null	0	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	1	0	1	0	5
c284f0eeab9d175ef398f1a574b272296ad415fe	2,270	py	Python	tests/0400_i18n/08_update_catalogs.py	sveetch/Optimus	983aebeccd2ada7a5a0ab96f9296d4bba1112022	[ "MIT" ]	2	2019-05-31T00:23:15.000Z	2021-04-26T07:26:16.000Z	tests/0400_i18n/08_update_catalogs.py	sveetch/Optimus	983aebeccd2ada7a5a0ab96f9296d4bba1112022	[ "MIT" ]	27	2015-04-21T14:43:26.000Z	2022-01-29T00:42:53.000Z	tests/0400_i18n/08_update_catalogs.py	sveetch/Optimus	983aebeccd2ada7a5a0ab96f9296d4bba1112022	[ "MIT" ]	1	2017-05-21T17:32:28.000Z	2017-05-21T17:32:28.000Z	import os import logging import shutil from optimus.i18n.manager import I18NManager def test_update_catalogs_all( minimal_i18n_settings, caplog, temp_builds_dir, fixtures_settings ): """ Update every catalogs """ basepath = temp_builds_dir.join("i18n_update_catalogs_all") # Copy sample proje...	28.024691	82	0.654626	246	2,270	5.800813	0.243902	0.058865	0.053259	0.056062	0.80869	0.80869	0.789068	0.747022	0.65452	0.65452	0.014126	0.251542	2,270	80	83	28.375	0.82578	0.080617	0.592593	0	0	0.125183	0.02338	0	0	0	0	0.092593	1	0.037037	false	0	0.074074	0	0.111111	0	0	0	0	null	0	0	0	1	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	5
6c0605d359e470dbd90558cdc9d674b331db2e65	181	py	Python	tests/acceptance/__init__.py	datphan/moviecrab	e3bcff700b994388f1ded68d268a960b10d57a81	[ "BSD-3-Clause" ]	null	null	null	tests/acceptance/__init__.py	datphan/moviecrab	e3bcff700b994388f1ded68d268a960b10d57a81	[ "BSD-3-Clause" ]	null	null	null	tests/acceptance/__init__.py	datphan/moviecrab	e3bcff700b994388f1ded68d268a960b10d57a81	[ "BSD-3-Clause" ]	null	null	null	"""acceptance tests""" import unittest from nose.plugins.attrib import attr @attr('acc') class AcceptanceTestCase(unittest.TestCase): """Base AcceptanceTestCase""" pass	15.083333	44	0.729282	19	181	6.947368	0.789474	0	0	0	0	0	0	0	0	0	0	0.143646	181	11	45	16.454545	0.851613	0.220994	0	0	0	0.023077	0	0	0	0	0	0	1	0	true	0.2	0.4	0	0.6	0	1	0	0	null	0	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	5
6c1f737d01ed462f9d3028ca12a6e4e32ea970ac	22,271	py	Python	OC/network.py	Xin-Ye-1/HIEM	6764f579eef6ec92dd85a005af27419f630df7da	[ "Apache-2.0" ]	2	2021-04-12T02:41:00.000Z	2021-05-15T02:18:15.000Z	OC/network.py	Xin-Ye-1/HIEM	6764f579eef6ec92dd85a005af27419f630df7da	[ "Apache-2.0" ]	null	null	null	OC/network.py	Xin-Ye-1/HIEM	6764f579eef6ec92dd85a005af27419f630df7da	[ "Apache-2.0" ]	null	null	null	#! /usr/bin/env python import tensorflow as tf import tensorflow.contrib.slim as slim seed = 0 def fc2d(inputs, num_outputs, activation_fn, scope, ): with tf.variable_scope(scope, reuse=tf.AUTO_REUSE) as s: n0, n1, n2 = inputs.get_shape().as_list() weights = tf.get_var...	55.6775	140	0.504917	2,020	22,271	5.281683	0.090099	0.051176	0.030181	0.051176	0.805886	0.777486	0.729872	0.705408	0.680664	0.645046	0.014998	0.4192	22,271	399	141	55.817043	0.809818	0.02739	0.611684	0	0	0.016597	0.001063	0	0	0	0	0	1	0.017182	false	0	0.006873	0	0.041237	0	0	0	0	null	0	0	0	1	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	5
6c27c7aa14b6a3a742020fc655ba28804b70f883	98	py	Python	rover-stub/accelsensor.py	GamesCreatorsClub/GCC-Rover	25a69f62a1bb01fc421924ec39f180f50d6a640b	[ "MIT" ]	3	2018-02-13T21:39:55.000Z	2018-04-26T18:17:39.000Z	rover-stub/accelsensor.py	GamesCreatorsClub/GCC-Rover	25a69f62a1bb01fc421924ec39f180f50d6a640b	[ "MIT" ]	null	null	null	rover-stub/accelsensor.py	GamesCreatorsClub/GCC-Rover	25a69f62a1bb01fc421924ec39f180f50d6a640b	[ "MIT" ]	null	null	null	# # Copyright 2016-2017 Games Creators Club # # MIT License # from sonarsensor_service import *	10.888889	41	0.744898	12	98	6	1	0	0	0	0	0	0	0	0	0	0.1	0.183673	98	8	42	12.25	0.8	0.520408	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5

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