Split (1)

train · 253k rows

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c95a4a93ae0993ed1259168878811855d75a591d	142	py	Python	FHIR_Tester_backend/services/auth.py	ideaworld/FHIR_Tester	62844af2de510b65535df5ae60da03a082097df0	[ "MIT" ]	null	null	null	FHIR_Tester_backend/services/auth.py	ideaworld/FHIR_Tester	62844af2de510b65535df5ae60da03a082097df0	[ "MIT" ]	4	2020-06-05T17:40:18.000Z	2022-02-11T03:38:16.000Z	FHIR_Tester_backend/services/auth.py	bowen1993/FHIR_Tester	62844af2de510b65535df5ae60da03a082097df0	[ "MIT" ]	1	2016-11-22T01:04:16.000Z	2016-11-22T01:04:16.000Z	import base64 def get_token(username): return base64.b64encode(username) def extract_username(token): return base64.b64decode(token)	20.285714	37	0.78169	18	142	6.055556	0.555556	0.220183	0	0	0	0	0	0	0	0	0.081301	0.133803	142	7	38	20.285714	0.804878	0	0	0	0	0	0	0	0	1	0.4	false	0	0.2	0.4	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	6
c96d0b145413cdc1d0977354106c26e1b67f0d66	82	py	Python	CodeWars/7 Kyu/Boiled Eggs.py	anubhab-code/Competitive-Programming	de28cb7d44044b9e7d8bdb475da61e37c018ac35	[ "MIT" ]	null	null	null	CodeWars/7 Kyu/Boiled Eggs.py	anubhab-code/Competitive-Programming	de28cb7d44044b9e7d8bdb475da61e37c018ac35	[ "MIT" ]	null	null	null	CodeWars/7 Kyu/Boiled Eggs.py	anubhab-code/Competitive-Programming	de28cb7d44044b9e7d8bdb475da61e37c018ac35	[ "MIT" ]	null	null	null	from math import ceil def cooking_time(eggs): return ceil(eggs / 8.0) * 5	20.5	31	0.658537	14	82	3.785714	0.857143	0	0	0	0	0	0	0	0	0	0.048387	0.243902	82	4	31	20.5	0.806452	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	1	1	1	6
a317f3e1f239df35196e6cd4585f785c7acf8e06	169	py	Python	nameko_kafka/consumers/__init__.py	ketgo/nameko-kafka	12d3c40f84cfb39905b1f26f158b0422933fbadd	[ "MIT" ]	14	2020-04-02T06:49:19.000Z	2021-09-29T02:18:31.000Z	nameko_kafka/consumers/__init__.py	ketgo/nameko-kafka	12d3c40f84cfb39905b1f26f158b0422933fbadd	[ "MIT" ]	3	2020-07-18T19:48:50.000Z	2021-08-25T08:27:23.000Z	nameko_kafka/consumers/__init__.py	ketgo/nameko-kafka	12d3c40f84cfb39905b1f26f158b0422933fbadd	[ "MIT" ]	null	null	null	from .default import DefaultConsumer from .exactly_once import ExactlyOnceConsumer from .least_once import AtLeastOnceConsumer from .most_once import AtMostOnceConsumer	33.8	45	0.881657	19	169	7.684211	0.578947	0.205479	0	0	0	0	0	0	0	0	0	0.094675	169	4	46	42.25	0.954248	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	null	0	0	0	1	0	1	0	1	6
a334a66374ef0db386e753033a37077facbd9cad	54	py	Python	requests_wrapped_python_package/__init__.py	jlimahaverford/requests_wrapped_python_package	c1c215ed2481e6a7cf54c2c927b213e55736f050	[ "MIT" ]	null	null	null	requests_wrapped_python_package/__init__.py	jlimahaverford/requests_wrapped_python_package	c1c215ed2481e6a7cf54c2c927b213e55736f050	[ "MIT" ]	1	2021-06-01T22:01:30.000Z	2021-06-01T22:01:30.000Z	requests_wrapped_python_package/__init__.py	jlimahaverford/requests_wrapped_python_package	c1c215ed2481e6a7cf54c2c927b213e55736f050	[ "MIT" ]	null	null	null	from .requests_wrapped_module import requests_wrapped	27	53	0.907407	7	54	6.571429	0.714286	0.652174	0	0	0	0	0	0	0	0	0	0.074074	54	1	54	54	0.92	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	null	0	0	0	1	0	1	0	1	6
a33e47b6032aa4bdd1e2b83d9186f26c008b2ac9	338	py	Python	evennia/contrib/grid/xyzgrid/__init__.py	davidrideout/evennia	879eea55acdf4fe5cdc96ba8fd0ab5ccca4ae84b	[ "BSD-3-Clause" ]	null	null	null	evennia/contrib/grid/xyzgrid/__init__.py	davidrideout/evennia	879eea55acdf4fe5cdc96ba8fd0ab5ccca4ae84b	[ "BSD-3-Clause" ]	null	null	null	evennia/contrib/grid/xyzgrid/__init__.py	davidrideout/evennia	879eea55acdf4fe5cdc96ba8fd0ab5ccca4ae84b	[ "BSD-3-Clause" ]	null	null	null	""" XYZGrid - Griatch 2021 """ from . import commands # noqa from . import example # noqa from . import launchcmd # noqa from . import prototypes # noqa from . import tests # noqa from . import utils # noqa from . import xymap # noqa from . import xymap_legend # noqa from . import xyzgrid # noqa from . impor...	21.125	34	0.689349	44	338	5.272727	0.340909	0.431034	0.543103	0.163793	0	0	0	0	0	0	0.015385	0.230769	338	15	35	22.533333	0.876923	0.215976	0	0	0	0	0	0	0	1	0	true	0	1	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	1	0	1	0	1	6
a349f6a28132a1eecfe8f75f8a88ea91ea885574	109	py	Python	build_gpcr/management/commands/build_links.py	pszgaspar/protwis	4989a67175ef3c95047d795c843cf6b9cf4141fa	[ "Apache-2.0" ]	21	2016-01-20T09:33:14.000Z	2021-12-20T19:19:45.000Z	build_gpcr/management/commands/build_links.py	pszgaspar/protwis	4989a67175ef3c95047d795c843cf6b9cf4141fa	[ "Apache-2.0" ]	75	2016-02-26T16:29:58.000Z	2022-03-21T12:35:13.000Z	build_gpcr/management/commands/build_links.py	pszgaspar/protwis	4989a67175ef3c95047d795c843cf6b9cf4141fa	[ "Apache-2.0" ]	77	2016-01-22T08:44:26.000Z	2022-02-01T15:54:56.000Z	from build.management.commands.build_links import Command as BuildLinks class Command(BuildLinks): pass	21.8	71	0.816514	14	109	6.285714	0.785714	0	0	0	0	0	0	0	0	0	0	0.12844	109	5	72	21.8	0.926316	0	0	0	0	0	0	0	0	1	0	true	0.333333	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	null	0	0	0	1	1	1	0	1	6
a39cb1ff0e0015caa5c00f9ea38d36d6ab8bf24a	139	py	Python	Amplo/GridSearch/__init__.py	nielsuit227/AutoML	51e2076d52d76dc84a190293b5bb59da2833df89	[ "MIT" ]	2	2021-06-16T22:09:01.000Z	2021-09-06T20:26:42.000Z	Amplo/GridSearch/__init__.py	nielsuit227/AutoML	51e2076d52d76dc84a190293b5bb59da2833df89	[ "MIT" ]	1	2021-06-04T08:22:02.000Z	2021-06-04T08:22:02.000Z	Amplo/GridSearch/__init__.py	nielsuit227/AutoML	51e2076d52d76dc84a190293b5bb59da2833df89	[ "MIT" ]	1	2021-09-15T08:34:20.000Z	2021-09-15T08:34:20.000Z	from .BaseGridSearch import BaseGridSearch from .HalvingGridSearch import HalvingGridSearch from .OptunaGridSearch import OptunaGridSearch	34.75	48	0.892086	12	139	10.333333	0.416667	0	0	0	0	0	0	0	0	0	0	0.086331	139	3	49	46.333333	0.976378	0	0	0	0	0	0	0	0	1	0	true	0	1	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	null	0	0	0	1	0	1	0	1	6
a39f2ac3c9a80f9b34b71c8f35e54c66b9a80e8f	36	py	Python	vnpy/gateway/rohon/__init__.py	ChaunceyDong/vnpy	1c1b683ffc1c842bb7661e8194eca61af30cf586	[ "MIT" ]	19,529	2015-03-02T12:17:35.000Z	2022-03-31T17:18:27.000Z	vnpy/gateway/rohon/__init__.py	ChaunceyDong/vnpy	1c1b683ffc1c842bb7661e8194eca61af30cf586	[ "MIT" ]	2,186	2015-03-04T23:16:33.000Z	2022-03-31T03:44:01.000Z	vnpy/gateway/rohon/__init__.py	ChaunceyDong/vnpy	1c1b683ffc1c842bb7661e8194eca61af30cf586	[ "MIT" ]	8,276	2015-03-02T05:21:04.000Z	2022-03-31T13:13:13.000Z	from vnpy_rohon import RohonGateway	18	35	0.888889	5	36	6.2	1	0	0	0	0	0	0	0	0	0	0	0.111111	36	1	36	36	0.96875	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	null	0	0	0	1	0	1	0	1	6
6e8f1a62a0be79fd0bcf558023bca75f1ba6db5c	49	py	Python	ukb/ensemble/__init__.py	wi905252/ukb-cardiac-mri	3177dde898a65b1d7f385b78e4f134de3852bea5	[ "Apache-2.0" ]	19	2018-05-30T22:13:17.000Z	2022-01-18T14:04:40.000Z	ukb/ensemble/__init__.py	wi905252/ukb-cardiac-mri	3177dde898a65b1d7f385b78e4f134de3852bea5	[ "Apache-2.0" ]	1	2019-08-07T07:29:07.000Z	2019-08-07T08:54:10.000Z	ukb/ensemble/__init__.py	wi905252/ukb-cardiac-mri	3177dde898a65b1d7f385b78e4f134de3852bea5	[ "Apache-2.0" ]	8	2019-07-03T23:19:43.000Z	2021-11-15T17:09:24.000Z	from .csv_reader import * from .voting import *	12.25	25	0.734694	7	49	5	0.714286	0	0	0	0	0	0	0	0	0	0	0.183673	49	3	26	16.333333	0.875	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	null	0	0	0	1	0	1	0	1	6
6ebd0aa6be167b9c91b6e0da8a883d814c8afea4	37	py	Python	storage/__init__.py	dgkncelik/clausius	917bd02e888a2e8fb7dbccdd797b0a73a60ec7ba	[ "WTFPL" ]	null	null	null	storage/__init__.py	dgkncelik/clausius	917bd02e888a2e8fb7dbccdd797b0a73a60ec7ba	[ "WTFPL" ]	null	null	null	storage/__init__.py	dgkncelik/clausius	917bd02e888a2e8fb7dbccdd797b0a73a60ec7ba	[ "WTFPL" ]	null	null	null	from .base_storage import BaseStorage	37	37	0.891892	5	37	6.4	1	0	0	0	0	0	0	0	0	0	0	0.081081	37	1	37	37	0.941176	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	null	0	0	0	1	0	1	0	1	6
6ec235ebb5013deea17f1b7e5acd69b72b2074e6	36	py	Python	src/badd/file_loader/__init__.py	wksmirnowa/badd	82bc0c2d70b2334f230ed178bf3c037940b9eb37	[ "MIT" ]	1	2021-05-20T12:32:06.000Z	2021-05-20T12:32:06.000Z	src/badd/file_loader/__init__.py	wksmirnowa/badd	82bc0c2d70b2334f230ed178bf3c037940b9eb37	[ "MIT" ]	null	null	null	src/badd/file_loader/__init__.py	wksmirnowa/badd	82bc0c2d70b2334f230ed178bf3c037940b9eb37	[ "MIT" ]	null	null	null	from .file_loader import FileLoader	18	35	0.861111	5	36	6	1	0	0	0	0	0	0	0	0	0	0	0.111111	36	1	36	36	0.9375	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	null	0	0	0	1	0	1	0	1	6
42d052fa06bbebf6d976f2fde24651c0c4397fff	1,998	py	Python	Simple/test_formy_radio-buttons.py	tim-corley/Selenium-Starter-Kit	e74beae52c97464f40c034996c0645fe3f8cc235	[ "Unlicense", "MIT" ]	null	null	null	Simple/test_formy_radio-buttons.py	tim-corley/Selenium-Starter-Kit	e74beae52c97464f40c034996c0645fe3f8cc235	[ "Unlicense", "MIT" ]	1	2021-06-02T00:54:01.000Z	2021-06-02T00:54:01.000Z	Simple/test_formy_radio-buttons.py	tim-corley/Selenium-Starter-Kit	e74beae52c97464f40c034996c0645fe3f8cc235	[ "Unlicense", "MIT" ]	null	null	null	from selenium import webdriver from selenium.webdriver import ActionChains from pathlib import Path from time import sleep import pytest import os global driver_path parent_path = str(Path(os.getcwd()).parent) driver_path = parent_path + '/Drivers/' class TestRadioButtonsChrome(): @pytest.fixture() def test_s...	32.754098	83	0.668168	258	1,998	4.895349	0.263566	0.088678	0.10768	0.120348	0.731591	0.731591	0.731591	0.731591	0.731591	0.731591	0.01796	0.21972	1,998	60	84	33.3	0.792174	0	0.763636	0	0	0.14014	0.048048	0	0	1	0.072727	false	0	0.109091	0	0.218182	0.036364	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	6
42d4ebe3bc6530d95f8069201b83b55da9e6ba6c	175	py	Python	tests/test_copy.py	eerimoq/sython	90937bf44b798b9c1ae0d18e31e11e95967b46c6	[ "MIT" ]	null	null	null	tests/test_copy.py	eerimoq/sython	90937bf44b798b9c1ae0d18e31e11e95967b46c6	[ "MIT" ]	null	null	null	tests/test_copy.py	eerimoq/sython	90937bf44b798b9c1ae0d18e31e11e95967b46c6	[ "MIT" ]	null	null	null	from .utils import TestCase # from .utils import build_and_test_module class Test(TestCase): def test_copy(self): # build_and_test_module('copy') pass	15.909091	42	0.691429	24	175	4.75	0.541667	0.157895	0.263158	0.315789	0	0	0	0	0	0	0	0.228571	175	10	43	17.5	0.844444	0.4	0	0	0	0	0	0	0	1	0.25	false	0.25	0.25	0	0.75	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	1	6
6e12893461edc4a8bb2a51d8fe7a0e93a257abb2	4,856	py	Python	train/train_cls.py	ZJUCAGD/GTS-CNN	a329f314b795f0dea0f46db623ac955a47619e7d	[ "MIT" ]	null	null	null	train/train_cls.py	ZJUCAGD/GTS-CNN	a329f314b795f0dea0f46db623ac955a47619e7d	[ "MIT" ]	null	null	null	train/train_cls.py	ZJUCAGD/GTS-CNN	a329f314b795f0dea0f46db623ac955a47619e7d	[ "MIT" ]	null	null	null	import torch from models.gtscnn import KCNetClassify, AdaptiveKCNetClassify, KCNetSegment, AdaptiveKCNetSegment from data.modelnet import ModelNetDataset, AdaptiveModelNetDataset, MeshModelNetDataset from data.shapenet import AdaptiveShapeNetDataset from tensorboardX import SummaryWriter # trainset = ModelNetDataset('...	57.809524	98	0.786244	607	4,856	6.074135	0.133443	0.043396	0.060754	0.10415	0.836452	0.836452	0.790887	0.790887	0.790887	0.790887	0.026077	0.068163	4,856	83	99	58.506024	0.788729	0.781713	0.111111	0	0	0.093071	0.085832	0	0	1	0	false	0	0.277778	0	0.277778	0.055556	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
282f3bf4ccc95d82f7d4fa3f6c5b5b2707d5a072	120	py	Python	comprehensions.py	Kehrlann/python-iterations	c2f579404b90d1aae9d5518c5a3de2d4c985cda6	[ "Apache-2.0" ]	null	null	null	comprehensions.py	Kehrlann/python-iterations	c2f579404b90d1aae9d5518c5a3de2d4c985cda6	[ "Apache-2.0" ]	null	null	null	comprehensions.py	Kehrlann/python-iterations	c2f579404b90d1aae9d5518c5a3de2d4c985cda6	[ "Apache-2.0" ]	null	null	null	def aplatir(conteneurs): return None def alternat(c1, c2): return None def intersect(A, B): return None	10.909091	24	0.658333	17	120	4.647059	0.647059	0.379747	0.329114	0	0	0	0	0	0	0	0.022222	0.25	120	10	25	12	0.855556	0	0.5	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	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	1	0	0	0	1	1	6
954f7e92b7ec97e56d5b1f8523555a99d6482290	125	py	Python	aerosandbox_legacy_v0/__init__.py	SzymonSzyszko/AeroSandbox	d4084899b665f735c1ec218282b2e4aee08eacff	[ "MIT" ]	null	null	null	aerosandbox_legacy_v0/__init__.py	SzymonSzyszko/AeroSandbox	d4084899b665f735c1ec218282b2e4aee08eacff	[ "MIT" ]	null	null	null	aerosandbox_legacy_v0/__init__.py	SzymonSzyszko/AeroSandbox	d4084899b665f735c1ec218282b2e4aee08eacff	[ "MIT" ]	null	null	null	from .aerodynamics import * from .geometry import * from .plotting import * from .performance import * from .weights import *	25	27	0.768	15	125	6.4	0.466667	0.416667	0	0	0	0	0	0	0	0	0	0.152	125	5	28	25	0.90566	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	null	0	0	0	1	0	1	0	1	6
95608e8b366191972f59645db6948420f14f6352	27	py	Python	django_params/__init__.py	maxvyaznikov/django-params	c909a38b9879f1192e411d133bb7236f2b50128a	[ "MIT" ]	null	null	null	django_params/__init__.py	maxvyaznikov/django-params	c909a38b9879f1192e411d133bb7236f2b50128a	[ "MIT" ]	null	null	null	django_params/__init__.py	maxvyaznikov/django-params	c909a38b9879f1192e411d133bb7236f2b50128a	[ "MIT" ]	null	null	null	from .models import Param	9	25	0.777778	4	27	5.25	1	0	0	0	0	0	0	0	0	0	0	0.185185	27	2	26	13.5	0.954545	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	null	0	0	0	1	0	1	0	1	6
95945c96a3d146673b8e4ad40a25a9ff5acbe9a7	772	py	Python	Datastruc/lab6/lab6-5.py	ppbasleng/CE-Classroom	787442b2e71674e872f0d57373f1bf7640d7cbe7	[ "Apache-2.0" ]	null	null	null	Datastruc/lab6/lab6-5.py	ppbasleng/CE-Classroom	787442b2e71674e872f0d57373f1bf7640d7cbe7	[ "Apache-2.0" ]	null	null	null	Datastruc/lab6/lab6-5.py	ppbasleng/CE-Classroom	787442b2e71674e872f0d57373f1bf7640d7cbe7	[ "Apache-2.0" ]	null	null	null	def staircase(n,stair=""): if abs(n)==1: print("#") return elif n<0: if -n == len(stair)+1: if len(stair) != 0: print(stair+"#") else: if len(stair) ==0: staircase(n,"#"+stair) elif stair[0]!="_": ...	26.62069	39	0.392487	83	772	3.60241	0.216867	0.234114	0.351171	0.147157	0.745819	0.742475	0.742475	0.742475	0.742475	0.521739	0.027088	0.426166	772	29	39	26.62069	0.647856	0	0.444444	0	0	0.043984	0	0	0	1	0.037037	false	0	0	0	0.074074	0.148148	0	0	0	null	1	1	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	6
6c73dbfcc71061ff219143bb0e9da67002e63b0d	127	py	Python	test/conftest.py	AkiaCode/rabbit-ark	bc0dd98cbaeff8f52360c32c68f9550b72e41aed	[ "MIT" ]	null	null	null	test/conftest.py	AkiaCode/rabbit-ark	bc0dd98cbaeff8f52360c32c68f9550b72e41aed	[ "MIT" ]	null	null	null	test/conftest.py	AkiaCode/rabbit-ark	bc0dd98cbaeff8f52360c32c68f9550b72e41aed	[ "MIT" ]	null	null	null	import pytest from rabbitark.rabbitark import RabbitArk @pytest.fixture def rabbitark(option): return RabbitArk(option)	14.111111	41	0.795276	15	127	6.733333	0.533333	0.29703	0	0	0	0	0	0	0	0	0	0.141732	127	8	42	15.875	0.926606	0	0	0	0	0	0	0	0	1	0.2	false	0	0.4	0.2	0.8	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	6
66b9ec618c4ebe493c850d7dbfef41a409c51d3c	197	py	Python	account/admin.py	echodelt/django-auth-skel-project	e308fe570cefce4a80a9b2a4e8941e73119e4e08	[ "MIT" ]	1	2017-09-19T13:42:08.000Z	2017-09-19T13:42:08.000Z	account/admin.py	echodelt/django-auth-skel-project	e308fe570cefce4a80a9b2a4e8941e73119e4e08	[ "MIT" ]	null	null	null	account/admin.py	echodelt/django-auth-skel-project	e308fe570cefce4a80a9b2a4e8941e73119e4e08	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- from django.contrib import admin from django.contrib import admin from .models import UserProfile, Address admin.site.register(UserProfile) admin.site.register(Address)	17.909091	40	0.771574	26	197	5.846154	0.5	0.131579	0.223684	0.302632	0.394737	0.394737	0	0	0	0	0.00578	0.121827	197	10	41	19.7	0.872832	0.106599	0.4	0	0	0	0	0	0	1	0	true	0	0.6	0	0.6	0	1	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	1	0	1	0	1	6
dd1d1c11d4098ce0f20fa20e8cc5167546bceaf7	230	py	Python	python/cendalytics/tfidf/core/fcd/__init__.py	jiportilla/ontology	8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40	[ "MIT" ]	null	null	null	python/cendalytics/tfidf/core/fcd/__init__.py	jiportilla/ontology	8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40	[ "MIT" ]	null	null	null	python/cendalytics/tfidf/core/fcd/__init__.py	jiportilla/ontology	8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40	[ "MIT" ]	null	null	null	from .vectorspace_create import VectorSpaceCreate from .vectorspace_inversion_create import VectorSpaceInversionCreate from .vectorspace_inversion_read import VectorSpaceInversionRead from .vectorspace_read import VectorSpaceRead	46	68	0.913043	22	230	9.272727	0.454545	0.294118	0.235294	0	0	0	0	0	0	0	0	0.069565	230	4	69	57.5	0.953271	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	6
dd38429a340bf815b82e9874703e34d7b08d7fda	120	py	Python	sbaas/analysis/analysis_stage00/__init__.py	SBRG/sbaas	9df76bbffdd620cf8566744a2b0503935998fbe0	[ "Apache-2.0" ]	1	2017-05-13T04:35:08.000Z	2017-05-13T04:35:08.000Z	sbaas/analysis/analysis_stage00/__init__.py	SBRG/sbaas	9df76bbffdd620cf8566744a2b0503935998fbe0	[ "Apache-2.0" ]	null	null	null	sbaas/analysis/analysis_stage00/__init__.py	SBRG/sbaas	9df76bbffdd620cf8566744a2b0503935998fbe0	[ "Apache-2.0" ]	2	2017-02-23T19:32:38.000Z	2020-01-14T19:13:05.000Z	from .stage00_query import stage00_query from .stage00_execute import stage00_execute from .stage00_io import stage00_io	40	44	0.883333	18	120	5.555556	0.333333	0.33	0	0	0	0	0	0	0	0	0.110092	0.091667	120	3	45	40	0.807339	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	null	0	0	0	1	0	1	0	1	6
dd946cac4460fbe35acaa9a3035a70345f9b56a7	75,441	py	Python	pyesapi/stubs/Microsoft/Win32/__init__.py	VarianPremiumDeveloper/PyESAPI	c7b1d2986cab9387e85dbb4331a44e5b743b86ea	[ "MIT" ]	45	2018-07-08T16:06:30.000Z	2021-12-09T16:54:26.000Z	pyesapi/stubs/Microsoft/Win32/__init__.py	VarianPremiumDeveloper/PyESAPI	c7b1d2986cab9387e85dbb4331a44e5b743b86ea	[ "MIT" ]	18	2018-10-12T21:32:12.000Z	2022-03-01T18:44:03.000Z	pyesapi/stubs/Microsoft/Win32/__init__.py	VarianPremiumDeveloper/PyESAPI	c7b1d2986cab9387e85dbb4331a44e5b743b86ea	[ "MIT" ]	19	2018-07-17T04:59:46.000Z	2021-08-12T13:48:21.000Z	# encoding: utf-8 # module Microsoft.Win32 calls itself Win32 # from mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089, System, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089 # by generator 1.145 # no doc # no imports # no functions # classes class IntranetZoneCr...	43.657986	285	0.642635	8,233	75,441	5.699381	0.066318	0.025062	0.044456	0.057157	0.778105	0.75138	0.716514	0.683226	0.654924	0.63065	0.004231	0.276242	75,441	1,727	286	43.683266	0.855149	0.118861	0.769097	0	0	0.005036	0	0	0	0	null	null	0.362847	0	null	null	0	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	0	0	1	0	0	0	0	null	0	1	0	0	1	0	0	0	6
dd94d7a8ce2824e12937b9bb60eea04926347137	45	py	Python	bin/__init__.py	mnemchinov/flask-rest-api-sceleton	14771127317301bb849de01bb592d2de6a641b50	[ "MIT" ]	null	null	null	bin/__init__.py	mnemchinov/flask-rest-api-sceleton	14771127317301bb849de01bb592d2de6a641b50	[ "MIT" ]	null	null	null	bin/__init__.py	mnemchinov/flask-rest-api-sceleton	14771127317301bb849de01bb592d2de6a641b50	[ "MIT" ]	null	null	null	import bin.App from bin import Routes	4.5	22	0.688889	7	45	4.428571	0.714286	0	0	0	0	0	0	0	0	0	0	0.288889	45	9	23	5	0.96875	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	null	0	0	0	1	0	1	0	1	6
06c411f35b40c0ac660a612c9bde438c8545797f	30	py	Python	demo/phpython/exec/index.py	phpython/phpython	1dd7a4f36461eca1fbe04364fd05f2e08209a499	[ "MIT" ]	13	2017-09-03T17:33:14.000Z	2022-03-16T00:38:32.000Z	demo/phpython/exec/index.py	phpython/phpython	1dd7a4f36461eca1fbe04364fd05f2e08209a499	[ "MIT" ]	2	2017-10-09T11:33:11.000Z	2019-01-08T17:45:28.000Z	demo/phpython/import/index.py	phpython/phpython	1dd7a4f36461eca1fbe04364fd05f2e08209a499	[ "MIT" ]	4	2019-01-08T15:33:33.000Z	2020-09-28T15:17:08.000Z	import module1 import module2	10	14	0.866667	4	30	6.5	0.75	0	0	0	0	0	0	0	0	0	0.076923	0.133333	30	3	15	10	0.923077	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	null	0	0	0	1	0	1	0	1	6
06dfed057cab8b87b0e4a6d3646e521ef99e226a	132	py	Python	snakeskin/telescopes/__init__.py	ewanbarr/snakeskin	b41a5393e9b4ab42fd6245e022dd4923be01815b	[ "Apache-2.0" ]	null	null	null	snakeskin/telescopes/__init__.py	ewanbarr/snakeskin	b41a5393e9b4ab42fd6245e022dd4923be01815b	[ "Apache-2.0" ]	null	null	null	snakeskin/telescopes/__init__.py	ewanbarr/snakeskin	b41a5393e9b4ab42fd6245e022dd4923be01815b	[ "Apache-2.0" ]	null	null	null	from base_telescope import BaseTelescope from azalt_telescope import AzAltMountTelescope from real_telescopes import MeerKAT,Parkes	33	47	0.901515	16	132	7.25	0.6875	0.258621	0	0	0	0	0	0	0	0	0	0.090909	132	3	48	44	0.966667	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	null	0	0	0	1	0	1	0	1	6
06e93b35dd10e04cc78edf4da006b000da727e34	15	py	Python	inference_dump/metric.py	drunkcoding/model-inference	02d2240bc7052fa32223a80fa63625fe681db102	[ "MIT" ]	1	2021-11-15T19:07:13.000Z	2021-11-15T19:07:13.000Z	inference_dump/metric.py	drunkcoding/model-inference	02d2240bc7052fa32223a80fa63625fe681db102	[ "MIT" ]	null	null	null	inference_dump/metric.py	drunkcoding/model-inference	02d2240bc7052fa32223a80fa63625fe681db102	[ "MIT" ]	null	null	null	import torch	3.75	12	0.733333	2	15	5.5	1	0	0	0	0	0	0	0	0	0	0	0.266667	15	3	13	5	1	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	null	0	0	0	1	0	1	0	1	6
6638d7ea11da734ad4a0028795ebc96c163cf1fd	41	py	Python	lg_screenshot/src/lg_screenshot/__init__.py	carlosvquezada/lg_ros_nodes	7560e99272d06ef5c80a5444131dad72c078a718	[ "Apache-2.0" ]	null	null	null	lg_screenshot/src/lg_screenshot/__init__.py	carlosvquezada/lg_ros_nodes	7560e99272d06ef5c80a5444131dad72c078a718	[ "Apache-2.0" ]	null	null	null	lg_screenshot/src/lg_screenshot/__init__.py	carlosvquezada/lg_ros_nodes	7560e99272d06ef5c80a5444131dad72c078a718	[ "Apache-2.0" ]	null	null	null	from web_screenshot import WebScreenshot	20.5	40	0.902439	5	41	7.2	1	0	0	0	0	0	0	0	0	0	0	0.097561	41	1	41	41	0.972973	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	null	0	0	0	1	0	1	0	1	6
b085b736ca9209e3c1d195a68871dfe0aed30d12	24	py	Python	src/shared/logging_cfg.py	synergetics/neuron	a2b5be5309f79ef8ebda1f057e6b18a22d150807	[ "MIT" ]	null	null	null	src/shared/logging_cfg.py	synergetics/neuron	a2b5be5309f79ef8ebda1f057e6b18a22d150807	[ "MIT" ]	null	null	null	src/shared/logging_cfg.py	synergetics/neuron	a2b5be5309f79ef8ebda1f057e6b18a22d150807	[ "MIT" ]	null	null	null	import logging as log	6	21	0.75	4	24	4.5	1	0	0	0	0	0	0	0	0	0	0	0.25	24	3	22	8	1	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	null	0	0	0	1	0	1	0	1	6
b0b16ac418fd5ce2a53e829d3446522d9e8e5ab5	5,961	py	Python	Other_tasks/Mingyang_Fit_Data/fit_data.py	JayWu7/Machine-Learning-Courses-Study-Record	7586c3429514bc21c7cfe42f85ca8c0fcf8f072b	[ "Apache-2.0" ]	1	2019-12-04T12:03:11.000Z	2019-12-04T12:03:11.000Z	Other_tasks/Mingyang_Fit_Data/fit_data.py	JayWu7/Machine-Learning-Courses-Study-Record	7586c3429514bc21c7cfe42f85ca8c0fcf8f072b	[ "Apache-2.0" ]	null	null	null	Other_tasks/Mingyang_Fit_Data/fit_data.py	JayWu7/Machine-Learning-Courses-Study-Record	7586c3429514bc21c7cfe42f85ca8c0fcf8f072b	[ "Apache-2.0" ]	1	2019-11-18T11:20:58.000Z	2019-11-18T11:20:58.000Z	import matplotlib.pyplot as plt import seaborn as sns import pandas as pd from scipy.stats import norm import numpy as np def read_data(filename, feature): data = pd.read_csv(filename, usecols=[feature]) return data def get_datas(filenames, feature): datas = [] for fn in filenames: datas.app...	37.024845	116	0.576581	1,039	5,961	3.256015	0.120308	0.035471	0.063849	0.061484	0.814366	0.793083	0.793083	0.793083	0.793083	0.793083	0.074555	0.19896	5,961	160	117	37.25625	0.633927	0.065593	0.678261	0	0.069565	0.177457	0.093778	0	0	1	0.043478	false	0	0.043478	0	0.104348	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
b0bec46f5cd692173da515845fecd3bcabb159fb	661	py	Python	gaopt/get_info_about_params.py	macky168/gaopt	bf2785325d3cb4489513f47ed06f745a059262f8	[ "MIT" ]	null	null	null	gaopt/get_info_about_params.py	macky168/gaopt	bf2785325d3cb4489513f47ed06f745a059262f8	[ "MIT" ]	null	null	null	gaopt/get_info_about_params.py	macky168/gaopt	bf2785325d3cb4489513f47ed06f745a059262f8	[ "MIT" ]	null	null	null	import numpy as np def get_max_params(current_lst, current_fitness_lst, keys): max_index = current_fitness_lst.index(max(current_fitness_lst)) return [getattr(current_lst[max_index], key) for key in keys] def get_max_fitness(current_fitness_lst): return max(current_fitness_lst) def get_min_fitness(cur...	24.481481	67	0.79879	104	661	4.673077	0.230769	0.374486	0.454733	0.283951	0.588477	0.320988	0.123457	0	0	0	0	0.118003	661	26	68	25.423077	0.833619	0	0	0	0	0	0	0	0	1	0.428571	false	0	0.071429	0.357143	0.928571	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	1	0	0	0	1	1	6
b0d1d99baa702d485f75100963fdf38a178b3c38	2,814	py	Python	utils/Misc.py	shib0li/BMBO-DARN	68f889ac8a1a2051754920fabff9e56f667b1cab	[ "MIT" ]	4	2021-11-10T19:50:53.000Z	2022-03-21T15:13:42.000Z	utils/Misc.py	shib0li/BMBO-DARN	68f889ac8a1a2051754920fabff9e56f667b1cab	[ "MIT" ]	null	null	null	utils/Misc.py	shib0li/BMBO-DARN	68f889ac8a1a2051754920fabff9e56f667b1cab	[ "MIT" ]	null	null	null	import numpy as np import sobol_seq def generate_random_inputs(N, dim, lb, ub, seed): rand_state = np.random.get_state() try: np.random.seed(seed) noise = np.random.uniform(0,1,size=[N,dim]) scale = (ub - lb).reshape([1,-1]) except: print('Errors occured when generating rand...	25.816514	79	0.575338	377	2,814	4.148541	0.198939	0.061381	0.023018	0.040921	0.835678	0.822251	0.806266	0.730818	0.66688	0.609335	0.012024	0.290689	2,814	108	80	26.055556	0.771543	0.376688	0.666667	1	0	0.053896	0	0	0	1	0.104167	false	0	0.041667	0	0.25	0.041667	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	6
b0f8817d5b068d0aae00ec06d72670b30bffa4b4	26	py	Python	ml/cnn/__init__.py	LaureDas/ml	ed08ef8e2cd517e25447557e00efc0b690f12cfb	[ "MIT" ]	21	2018-09-03T18:34:32.000Z	2022-01-23T02:18:21.000Z	ml/cnn/__init__.py	LaureDas/ml	ed08ef8e2cd517e25447557e00efc0b690f12cfb	[ "MIT" ]	6	2020-01-06T07:25:24.000Z	2022-02-09T23:51:19.000Z	ml/cnn/__init__.py	LaureDas/ml	ed08ef8e2cd517e25447557e00efc0b690f12cfb	[ "MIT" ]	7	2018-11-01T21:47:39.000Z	2021-12-18T16:36:53.000Z	from ml.cnn.cnn2d import *	26	26	0.769231	5	26	4	1	0	0	0	0	0	0	0	0	0	0.043478	0.115385	26	1	26	26	0.826087	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	null	0	0	0	1	0	1	0	1	6
9fd20522e981be69ba8eb835b71f8182c539df64	496	py	Python	homeworks/yan_romanovich/hw05/test_lvl03.py	tgrx/Z22	b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff	[ "Apache-2.0" ]	null	null	null	homeworks/yan_romanovich/hw05/test_lvl03.py	tgrx/Z22	b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff	[ "Apache-2.0" ]	8	2019-11-15T18:15:56.000Z	2020-02-03T18:05:05.000Z	homeworks/yan_romanovich/hw05/test_lvl03.py	tgrx/Z22	b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff	[ "Apache-2.0" ]	null	null	null	from homeworks.yan_romanovich.hw05 import level03 def test_good_phone(): assert level03.good_phone("+375172294660") assert level03.good_phone("+375296648778") assert not level03.good_phone("") assert not level03.good_phone("+37517229466") assert not level03.good_phone("+37517229466a") assert n...	35.428571	51	0.752016	62	496	5.822581	0.33871	0.249307	0.398892	0.387812	0.484765	0	0	0	0	0	0.234192	0.139113	496	13	52	38.153846	0.611241	0	0	0	0	0.171371	0	0	0.818182	1	0.090909	true	0	0.090909	0	0.181818	0	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	1	0	0	1	0	0	0	0	6
b037ebee9bb1483ceeab0aaf0ddf4b23c1007477	392	py	Python	src/compas/numerical/mma/mma_numpy.py	yijiangh/compas	a9e86edf6b602f47ca051fccedcaa88a5e5d3600	[ "MIT" ]	2	2021-03-17T18:14:22.000Z	2021-09-19T13:50:02.000Z	src/compas/numerical/mma/mma_numpy.py	yijiangh/compas	a9e86edf6b602f47ca051fccedcaa88a5e5d3600	[ "MIT" ]	9	2019-09-11T08:53:19.000Z	2019-09-16T08:35:39.000Z	src/compas/numerical/mma/mma_numpy.py	yijiangh/compas	a9e86edf6b602f47ca051fccedcaa88a5e5d3600	[ "MIT" ]	1	2022-01-16T02:32:43.000Z	2022-01-16T02:32:43.000Z	from __future__ import absolute_import from __future__ import division from __future__ import print_function __all__ = ['mma_numpy'] def mma_numpy(): raise NotImplementedError # ============================================================================== # Main # ============================================...	20.631579	80	0.446429	27	392	5.444444	0.62963	0.204082	0.326531	0	0	0	0	0	0	0	0	0.114796	392	18	81	21.777778	0.423631	0.413265	0	0	0	0.075221	0	0	0	1	0.125	false	0.125	0.375	0	0.5	0.125	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	6
b038083d254d9f8ffb75c31b04e626a3b8a91ea1	2,043	py	Python	examples/friend_request.py	BambinoRaccoon/geoguessr_api	d31a1eb89765f5c8594b8d7a1b61256abbfbc1b9	[ "MIT" ]	2	2022-03-06T00:20:37.000Z	2022-03-12T14:48:27.000Z	examples/friend_request.py	BambinoRaccoon/geoguessr_api	d31a1eb89765f5c8594b8d7a1b61256abbfbc1b9	[ "MIT" ]	null	null	null	examples/friend_request.py	BambinoRaccoon/geoguessr_api	d31a1eb89765f5c8594b8d7a1b61256abbfbc1b9	[ "MIT" ]	3	2022-03-12T18:39:55.000Z	2022-03-17T23:23:51.000Z	from env import load_env import geoguessr_api import asyncio from geoguessr_api import BadRequest username, password, token = load_env() def sync_friend_request(): with geoguessr_api.Client(username, password, token) as client: # Get friend requests pending_requests = client.pending_friend_reque...	37.145455	120	0.674498	249	2,043	5.333333	0.24498	0.058735	0.042169	0.034639	0.777108	0.777108	0.777108	0.716867	0.716867	0.649096	0.033091	0.260401	2,043	54	121	37.833333	0.845797	0.222712	0.333333	0	0	0.045831	0.030554	0	0	1	0.027778	false	0.083333	0.111111	0	0.138889	0.055556	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	6
b04b69225c1a64b02cdb19e28653eabdeba8666d	26	py	Python	strictdict/strictbase/__init__.py	lgyanf/strictdict3	8b7b91c097ecc57232871137db6135c71fc33a9e	[ "MIT" ]	3	2016-02-26T08:36:25.000Z	2016-07-28T09:20:07.000Z	strictdict/strictbase/__init__.py	lgyanf/strictdict3	8b7b91c097ecc57232871137db6135c71fc33a9e	[ "MIT" ]	1	2015-10-21T09:33:50.000Z	2015-10-21T10:26:22.000Z	strictdict/strictbase/__init__.py	lgyanf/strictdict3	8b7b91c097ecc57232871137db6135c71fc33a9e	[ "MIT" ]	2	2016-07-27T14:39:25.000Z	2017-02-07T10:25:23.000Z	from .strictdict import *	13	25	0.769231	3	26	6.666667	1	0	0	0	0	0	0	0	0	0	0	0.153846	26	1	26	26	0.909091	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	null	0	0	0	1	0	1	0	1	6
b06470fde5e8c26feb8992f7617e5de8ccdc4bae	7,420	py	Python	landavailability/tests/voa/test_views.py	alphagov/land-availability-voa	424c9ffe30ba16dcc5a1a0ed7b0138acc3d549ed	[ "MIT" ]	1	2017-07-24T16:47:57.000Z	2017-07-24T16:47:57.000Z	landavailability/tests/voa/test_views.py	alphagov/land-availability-voa	424c9ffe30ba16dcc5a1a0ed7b0138acc3d549ed	[ "MIT" ]	4	2017-05-10T15:34:23.000Z	2017-09-06T10:37:26.000Z	landavailability/tests/voa/test_views.py	alphagov/land-availability-voa	424c9ffe30ba16dcc5a1a0ed7b0138acc3d549ed	[ "MIT" ]	2	2019-08-29T11:52:17.000Z	2021-04-10T19:54:35.000Z	from unittest import TestCase import pytest from django.urls import reverse from django.contrib.auth.models import User from rest_framework import status from rest_framework.test import APITestCase from rest_framework.authtoken.models import Token from rest_framework.test import APIClient from rest_framework import sta...	35.673077	72	0.493935	647	7,420	5.523957	0.284389	0.054561	0.049245	0.047006	0.79127	0.734751	0.734751	0.714885	0.714885	0.714885	0.078094	0.380458	7,420	207	73	35.845411	0.698064	0.004313	0.725389	0	0	0.440563	0.018955	0	0.072539	1	0.020725	false	0.010363	0.062176	0	0.103627	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	6
af37a27287c2281a525bcdac1625d2b1cf984a45	23,074	py	Python	tests/test_l2_basic.py	bohdanblavatnyi/sai-challenger	7de2b8811040f8c9056cc5c9339ac0bf83dd5d1a	[ "Apache-2.0" ]	null	null	null	tests/test_l2_basic.py	bohdanblavatnyi/sai-challenger	7de2b8811040f8c9056cc5c9339ac0bf83dd5d1a	[ "Apache-2.0" ]	null	null	null	tests/test_l2_basic.py	bohdanblavatnyi/sai-challenger	7de2b8811040f8c9056cc5c9339ac0bf83dd5d1a	[ "Apache-2.0" ]	null	null	null	import socket import pytest from sai import SaiObjType from ptf.testutils import simple_tcp_packet, send_packet, verify_packets, verify_packet, verify_no_packet_any, verify_no_packet, verify_any_packet_any_port def test_l2_access_to_access_vlan(npu, dataplane): vlan_id = "10" macs = ['00:11:11:11:11:11', '00:...	40.409807	155	0.544336	3,128	23,074	3.669437	0.05243	0.046959	0.039205	0.054888	0.869751	0.811117	0.770518	0.740983	0.704391	0.680171	0.061113	0.349701	23,074	570	156	40.480702	0.703832	0.023273	0.662162	0	0	0.12525	0.07817	0	0.002252	1	0.024775	false	0	0.009009	0	0.033784	0.006757	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
af4bb40ebb5d677772b88121cc162b80f76daee7	97	py	Python	raven/projects/Scripts/FuelRadiusCalc.py	arfc/2019-12-bigdata-npps	ebf03664c1d96541956d317f3a305323cf76c23d	[ "CC-BY-4.0" ]	null	null	null	raven/projects/Scripts/FuelRadiusCalc.py	arfc/2019-12-bigdata-npps	ebf03664c1d96541956d317f3a305323cf76c23d	[ "CC-BY-4.0" ]	2	2019-10-26T14:32:13.000Z	2019-12-17T17:48:05.000Z	raven/projects/Scripts/FuelRadiusCalc.py	arfc/2019-12-bigdata-npps	ebf03664c1d96541956d317f3a305323cf76c23d	[ "CC-BY-4.0" ]	3	2019-10-25T18:50:31.000Z	2020-06-23T04:17:28.000Z	import numpy as np def evaluate(self): return self.pitch/(np.pi(1+self.mod_salt_ratio))*0.5	32.333333	58	0.721649	19	97	3.578947	0.842105	0	0	0	0	0	0	0	0	0	0.034884	0.113402	97	3	58	32.333333	0.755814	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	1	1	1	6
af64398fc2e8aa68a55d143c4acdcd89505852c9	276	py	Python	fl33t/models/__init__.py	fictivekin/fl33t-client	c563bec404ffc46ac4b8d821c2c0ce7dd9ea908f	[ "MIT" ]	2	2018-10-29T16:17:44.000Z	2021-12-17T00:03:30.000Z	fl33t/models/__init__.py	fictivekin/fl33t-client	c563bec404ffc46ac4b8d821c2c0ce7dd9ea908f	[ "MIT" ]	5	2018-08-21T18:49:06.000Z	2019-04-05T06:30:03.000Z	fl33t/models/__init__.py	fictivekin/fl33t-client	c563bec404ffc46ac4b8d821c2c0ce7dd9ea908f	[ "MIT" ]	2	2018-09-06T20:44:55.000Z	2019-02-10T05:35:00.000Z	""" Models All the models in use by Fl33t """ from fl33t.models.build import Build # noqa from fl33t.models.device import Device # noqa from fl33t.models.fleet import Fleet # noqa from fl33t.models.session import Session # noqa from fl33t.models.train import Train # noqa	19.714286	47	0.764493	43	276	4.906977	0.348837	0.21327	0.35545	0.36019	0	0	0	0	0	0	0.051724	0.15942	276	13	48	21.230769	0.857759	0.231884	0	0	0	0	0	0	0	1	0	true	0	1	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	1	0	1	0	1	6
bb6df7e829ed49ae07a81775641a621bb2b51737	28	py	Python	example/bpapi/data/context.py	rog-works/lf3py	e89937f7aa133ed54d85764f06101ab9abf6b960	[ "CNRI-Python" ]	null	null	null	example/bpapi/data/context.py	rog-works/lf3py	e89937f7aa133ed54d85764f06101ab9abf6b960	[ "CNRI-Python" ]	48	2020-12-19T13:47:26.000Z	2021-01-07T22:27:56.000Z	example/bpapi/data/context.py	rog-works/lf3py	e89937f7aa133ed54d85764f06101ab9abf6b960	[ "CNRI-Python" ]	null	null	null	class MyContext(dict): pass	14	27	0.785714	4	28	5.5	1	0	0	0	0	0	0	0	0	0	0	0.107143	28	1	28	28	0.88	0	0	0	0	0	0	0	0	1	0	true	1	0	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	null	0	0	0	1	1	0	0	1	6
bb8a1331ac3cb57181be448ee3cf299bf0cfdc96	124	py	Python	cogs/help/__init__.py	tuna2134/hortbot	43176217a59af9b3ed16b2aa911b3a267569009e	[ "BSD-3-Clause" ]	1	2021-11-17T15:08:07.000Z	2021-11-17T15:08:07.000Z	cogs/help/__init__.py	tuna2134/hortbot	43176217a59af9b3ed16b2aa911b3a267569009e	[ "BSD-3-Clause" ]	null	null	null	cogs/help/__init__.py	tuna2134/hortbot	43176217a59af9b3ed16b2aa911b3a267569009e	[ "BSD-3-Clause" ]	null	null	null	from .command import Help from .web import Helpweb def setup(bot): bot.add_cog(Help(bot)) bot.add_cog(Helpweb(bot))	20.666667	29	0.717742	21	124	4.142857	0.52381	0.137931	0.206897	0.275862	0	0	0	0	0	0	0	0.16129	124	6	29	20.666667	0.836538	0	0	0	0	0	0	0	0	1	0.2	false	0	0.4	0	0.6	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	6
bbb9ed90e4fac37cd60eceebcfe9005fc36a49c6	148	py	Python	extras/good_tests/tests_b.py	cltrudeau/waelstow	f67ad5e86f1ef447d6c6ae3e6845bdae83f2d837	[ "MIT" ]	null	null	null	extras/good_tests/tests_b.py	cltrudeau/waelstow	f67ad5e86f1ef447d6c6ae3e6845bdae83f2d837	[ "MIT" ]	null	null	null	extras/good_tests/tests_b.py	cltrudeau/waelstow	f67ad5e86f1ef447d6c6ae3e6845bdae83f2d837	[ "MIT" ]	null	null	null	from unittest import TestCase class BTestCase(TestCase): def test_method_common(self): pass def test_method_b(self): pass	16.444444	33	0.682432	19	148	5.105263	0.684211	0.14433	0.268041	0	0	0	0	0	0	0	0	0.256757	148	8	34	18.5	0.881818	0	0.333333	0	0	0	0	0	0	1	0.333333	false	0.333333	0.166667	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	null	0	0	1	0	1	0	0	1	6
bbcee7a15d1a8e8e1a2dc9be77ad91109be617a4	140	py	Python	tests/test_dtool_info_package.py	jic-dtool/dtool-info	27ab6f3823cdbf44242c7cc88f8f9b8ce2a35099	[ "MIT" ]	null	null	null	tests/test_dtool_info_package.py	jic-dtool/dtool-info	27ab6f3823cdbf44242c7cc88f8f9b8ce2a35099	[ "MIT" ]	16	2017-09-27T10:56:36.000Z	2021-06-22T23:55:26.000Z	tests/test_dtool_info_package.py	jic-dtool/dtool-info	27ab6f3823cdbf44242c7cc88f8f9b8ce2a35099	[ "MIT" ]	2	2021-02-08T13:04:25.000Z	2021-06-21T16:21:41.000Z	"""Test the dtool_info package.""" def test_version_is_string(): import dtool_info assert isinstance(dtool_info.__version__, str)	20	50	0.75	19	140	5	0.684211	0.284211	0	0	0	0	0	0	0	0	0	0.15	140	6	51	23.333333	0.798319	0.2	0	0	0	0	0	0	0.333333	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	1	0	1	0	0	6
a5bdcc2597de2da2fdd07e2cef34c9f2c8c862e3	1,714	py	Python	nlpclean/tests/test_ddup.py	shkarupa-alex/nlpclean	091d0c1fd8ad60cc9e484ccf5a66bd97bf2f3899	[ "MIT" ]	null	null	null	nlpclean/tests/test_ddup.py	shkarupa-alex/nlpclean	091d0c1fd8ad60cc9e484ccf5a66bd97bf2f3899	[ "MIT" ]	null	null	null	nlpclean/tests/test_ddup.py	shkarupa-alex/nlpclean	091d0c1fd8ad60cc9e484ccf5a66bd97bf2f3899	[ "MIT" ]	null	null	null	import os import unittest from ..ddup import dedup_lines_bloom class TestDedupLinesBloom(unittest.TestCase): def test_all_dup(self): with open(os.path.join(os.path.dirname(__file__), 'dedup_lines_bloom', 'all_dup_source.txt'), 'rt') as f: source = f.read().split('\n') result = dedu...	46.324324	115	0.644107	237	1,714	4.371308	0.194093	0.069498	0.144788	0.081081	0.824324	0.824324	0.824324	0.824324	0.824324	0.824324	0.004409	0.205951	1,714	36	116	47.611111	0.756796	0	0.482759	0	0	0.14119	0	0	0.103448	1	0.103448	false	0	0.103448	0	0.241379	0.034483	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
a5be7344b22e60481ca84cd939804be57be9fbc2	49	py	Python	app/wifi/__init__.py	dfmdmx/ProductionCloud_MachineClient	02a7d7c2e98073e2b2816443a316d2554c906116	[ "Apache-2.0" ]	null	null	null	app/wifi/__init__.py	dfmdmx/ProductionCloud_MachineClient	02a7d7c2e98073e2b2816443a316d2554c906116	[ "Apache-2.0" ]	null	null	null	app/wifi/__init__.py	dfmdmx/ProductionCloud_MachineClient	02a7d7c2e98073e2b2816443a316d2554c906116	[ "Apache-2.0" ]	null	null	null	from .scan import Cell from .scheme import Scheme	24.5	26	0.816327	8	49	5	0.625	0	0	0	0	0	0	0	0	0	0	0.142857	49	2	26	24.5	0.952381	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	null	0	0	0	1	0	1	0	1	6
3c08dc2e7c6ceb187fd5a8e828b06daaad76d72f	209	py	Python	features/environment.py	lstephen/construi	9812ec2a0c6bfa6cfabad585989492179d487545	[ "Apache-2.0" ]	27	2015-04-17T23:30:51.000Z	2022-02-04T23:40:43.000Z	features/environment.py	lstephen/construi	9812ec2a0c6bfa6cfabad585989492179d487545	[ "Apache-2.0" ]	55	2015-03-13T16:35:58.000Z	2018-12-13T20:08:08.000Z	features/environment.py	lstephen/construi	9812ec2a0c6bfa6cfabad585989492179d487545	[ "Apache-2.0" ]	5	2016-03-29T05:57:57.000Z	2018-12-13T20:05:54.000Z	import shutil import tempfile def before_scenario(context, scenario): context.working_directory = tempfile.mkdtemp() def after_scenario(context, scenario): shutil.rmtree(context.working_directory)	19	50	0.794258	24	209	6.75	0.5	0.277778	0.283951	0	0	0	0	0	0	0	0	0.124402	209	10	51	20.9	0.885246	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0	0.666667	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	1	0	0	1	0	1	6
3c6b8f3b6c6d37cf2e02a7a60d5a5620160f0593	594	py	Python	python/reddit/2d_array.py	bandarji/lekhan	211127a764f94189f0992fe2634c036258b3dc7b	[ "Apache-2.0" ]	null	null	null	python/reddit/2d_array.py	bandarji/lekhan	211127a764f94189f0992fe2634c036258b3dc7b	[ "Apache-2.0" ]	null	null	null	python/reddit/2d_array.py	bandarji/lekhan	211127a764f94189f0992fe2634c036258b3dc7b	[ "Apache-2.0" ]	null	null	null	from pprint import pprint as pretty from random import choice as choose matrix_dimension = 10 matrix = [ [ choose([-1, 0, 1]) for x in range(matrix_dimension) ] for z in range(matrix_dimension)] pretty(matrix) [[0, 1, 0, -1, 1, 1, 0, 0, 1, -1], [1, 0, 1, -1, 0, 0, 0, -1, 0, 0], [-1, 0, -1...	25.826087	40	0.436027	134	594	1.910448	0.134328	0.304688	0.269531	0.203125	0.390625	0.390625	0.386719	0.257813	0.148438	0.078125	0.243619	0.274411	594	22	41	27	0.350348	0	0	0	0	0	0	0	0	1	0	false	0	0.1	0	0.1	0.05	0	0	1	null	1	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
3c7c4f5e4cafddb34a6b09794b5461306db8ed80	76	py	Python	Hyperparameter_Optimization/tests/test_import.py	sille1994/Optimization-of-Hyperparameters-in-a-Convolution-Neural-Network	5976467bfa35e2679c0fa85c73187c6b6381d115	[ "MIT" ]	null	null	null	Hyperparameter_Optimization/tests/test_import.py	sille1994/Optimization-of-Hyperparameters-in-a-Convolution-Neural-Network	5976467bfa35e2679c0fa85c73187c6b6381d115	[ "MIT" ]	null	null	null	Hyperparameter_Optimization/tests/test_import.py	sille1994/Optimization-of-Hyperparameters-in-a-Convolution-Neural-Network	5976467bfa35e2679c0fa85c73187c6b6381d115	[ "MIT" ]	1	2020-09-25T16:17:14.000Z	2020-09-25T16:17:14.000Z	def test_import(): import numpy import matplotlib import torch	12.666667	21	0.684211	9	76	5.666667	0.666667	0	0	0	0	0	0	0	0	0	0	0.276316	76	5	22	15.2	0.927273	0	0	0	0	0	0	0	0	1	0.25	true	0	1	0	1.25	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	1	0	1	0	1	6
3c8c63f4b9eb7c3dcde8ebb1d749bafe7b378abd	6,403	py	Python	src/feedback/tests.py	DevTeamSCH/vikoverflow-backend	bac0a5f8d0f18bea4d99e0d94ee322feb6a8039e	[ "MIT" ]	null	null	null	src/feedback/tests.py	DevTeamSCH/vikoverflow-backend	bac0a5f8d0f18bea4d99e0d94ee322feb6a8039e	[ "MIT" ]	24	2018-10-09T12:34:09.000Z	2022-02-10T11:01:32.000Z	src/feedback/tests.py	DevTeamSCH/vikoverflow-backend	bac0a5f8d0f18bea4d99e0d94ee322feb6a8039e	[ "MIT" ]	null	null	null	from rest_framework import status from rest_framework.test import APITestCase from .models import Ticket from django.urls import reverse import random from django.contrib.auth.models import User from faker import Faker fake = Faker() class TicketListTest(APITestCase): def setUp(self): # Users Us...	39.770186	82	0.5866	726	6,403	4.998623	0.143251	0.088179	0.056214	0.095894	0.84431	0.832185	0.82943	0.823367	0.823367	0.820061	0.01261	0.219741	6,403	160	83	40.01875	0.713771	0.073872	0.689922	0	0	0.062352	0	0	0.147287	1	0.100775	false	0.023256	0.054264	0	0.162791	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
3c92270c99e168a405d2311bdeccf84265665ebf	4,226	py	Python	tests/test_get_zip_list.py	keiji/probeCOCOATek	accc64c66eb30907fda14cb678f17a49ce3e8675	[ "MIT" ]	11	2020-08-17T07:51:05.000Z	2022-02-09T16:40:39.000Z	tests/test_get_zip_list.py	keiji/probeCOCOATek	accc64c66eb30907fda14cb678f17a49ce3e8675	[ "MIT" ]	6	2020-08-18T23:50:37.000Z	2021-08-28T08:09:22.000Z	tests/test_get_zip_list.py	keiji/probeCOCOATek	accc64c66eb30907fda14cb678f17a49ce3e8675	[ "MIT" ]	4	2020-08-10T01:17:03.000Z	2022-01-26T16:16:23.000Z	#!/usr/bin/python # -- coding: utf-8 -- import pytest import requests import requests_mock import sys import os from probeCOCOATek.probeCOCOATek import probeCOCOATek, AugumentError, ParamError, DataError class TestGetZipList(object): def setup_method(self, method): pass def teardown_method(self, me...	49.139535	126	0.664931	568	4,226	4.647887	0.139085	0.197727	0.167045	0.066288	0.821212	0.803788	0.787879	0.77197	0.77197	0.77197	0.005521	0.228585	4,226	85	127	49.717647	0.804294	0.008992	0.619718	0	0	0.036312	0	0	0.042254	1	0.126761	false	0.028169	0.084507	0	0.225352	0.014085	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
b1f76179855c21948bf5d1989d5a35aa157c23a2	24	py	Python	manual_training.py	Emanuel-De/GO-Bot-DRL	3eeba28250f237e81897d42e773ee390b812fe26	[ "MIT" ]	null	null	null	manual_training.py	Emanuel-De/GO-Bot-DRL	3eeba28250f237e81897d42e773ee390b812fe26	[ "MIT" ]	null	null	null	manual_training.py	Emanuel-De/GO-Bot-DRL	3eeba28250f237e81897d42e773ee390b812fe26	[ "MIT" ]	null	null	null	import user import test	8	11	0.833333	4	24	5	0.75	0	0	0	0	0	0	0	0	0	0	0.166667	24	2	12	12	1	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	null	0	0	0	1	0	1	0	1	6
5939f15c8b22bb988ec126f00537537582d5f1b9	8,821	py	Python	nova/tests/unit/scheduler/filters/test_aggregate_instance_extra_specs_filters.py	bopopescu/nova-token	ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2	[ "Apache-2.0" ]	null	null	null	nova/tests/unit/scheduler/filters/test_aggregate_instance_extra_specs_filters.py	bopopescu/nova-token	ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2	[ "Apache-2.0" ]	null	null	null	nova/tests/unit/scheduler/filters/test_aggregate_instance_extra_specs_filters.py	bopopescu/nova-token	ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2	[ "Apache-2.0" ]	2	2017-07-20T17:31:34.000Z	2020-07-24T02:42:19.000Z	begin_unit comment\|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl\|'\n' comment\|'# not use this file except in compliance with the License. You may obtain' nl\|'\n' comment\|'# a copy of the License at' nl\|'\n' comment\|'#' nl\|'\n' comment\|'# http://www.apache.org/licenses/L...	13.913249	88	0.632015	1,318	8,821	4.096358	0.126707	0.124467	0.068531	0.054455	0.781071	0.762919	0.737174	0.726616	0.687164	0.632895	0.007923	0.098515	8,821	633	89	13.935229	0.671026	0	0.921011	0	0	0.408911	0.091486	0	0.012638	0	null	null	0.030016	0.007899	null	null	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	1	0	0	0	0	null	0	1	0	0	0	0	0	0	6
594345aa82dce1d6e3570ea979d0cdeeb7fd751e	220	py	Python	src/daipecore/imports.py	daipe-ai/daipe-core	aa205495fa6b464fa6078d17e439c60345ac99ea	[ "MIT" ]	1	2021-09-17T09:07:09.000Z	2021-09-17T09:07:09.000Z	src/daipecore/imports.py	daipe-ai/daipe-core	aa205495fa6b464fa6078d17e439c60345ac99ea	[ "MIT" ]	2	2021-12-20T07:46:33.000Z	2022-02-24T07:02:05.000Z	src/daipecore/imports.py	daipe-ai/daipe-core	aa205495fa6b464fa6078d17e439c60345ac99ea	[ "MIT" ]	null	null	null	from daipecore.decorator.notebook_function import notebook_function # noqa: F401 from daipecore.widgets.Widgets import Widgets # noqa: F401 from daipecore.widgets.get_widget_value import get_widget_value # noqa: F401	55	81	0.836364	30	220	5.933333	0.4	0.219101	0.134831	0.235955	0.314607	0	0	0	0	0	0.045918	0.109091	220	3	82	73.333333	0.862245	0.145455	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	1	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	6
3cac6aa7c82a0235f731835b69ac1f42bfaa33cc	86	py	Python	elf/types/section/header/sh_addr_align.py	Valmarelox/elftoolsng	99c3f4913a7e477007b1d81df83274d7657bf693	[ "MIT" ]	null	null	null	elf/types/section/header/sh_addr_align.py	Valmarelox/elftoolsng	99c3f4913a7e477007b1d81df83274d7657bf693	[ "MIT" ]	null	null	null	elf/types/section/header/sh_addr_align.py	Valmarelox/elftoolsng	99c3f4913a7e477007b1d81df83274d7657bf693	[ "MIT" ]	null	null	null	from elf.types.base.int import ElfIntNType class SHAddrAlign(ElfIntNType): pass	14.333333	42	0.77907	11	86	6.090909	0.909091	0	0	0	0	0	0	0	0	0	0	0.151163	86	5	43	17.2	0.917808	0	0	0	0	0	0	0	0	1	0	true	0.333333	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	null	0	0	0	1	1	1	0	1	6
3ce4caf7ce2d3cb6c81a131f2cbbafac5223a27e	8,963	py	Python	dependencies/PyMesh/python/pymesh/tests/test_selfintersection.py	aprieels/3D-watermarking-spectral-decomposition	dcab78857d0bb201563014e58900917545ed4673	[ "MIT" ]	5	2018-06-04T19:52:02.000Z	2022-01-22T09:04:00.000Z	dependencies/PyMesh/python/pymesh/tests/test_selfintersection.py	aprieels/3D-watermarking-spectral-decomposition	dcab78857d0bb201563014e58900917545ed4673	[ "MIT" ]	null	null	null	dependencies/PyMesh/python/pymesh/tests/test_selfintersection.py	aprieels/3D-watermarking-spectral-decomposition	dcab78857d0bb201563014e58900917545ed4673	[ "MIT" ]	null	null	null	from pymesh.TestCase import TestCase from pymesh import detect_self_intersection, resolve_self_intersection from pymesh.meshio import form_mesh from pymesh.meshutils import generate_box_mesh from pymesh.meshutils import merge_meshes from pymesh.misc import Quaternion import numpy as np import math import unittest cla...	37.502092	82	0.597902	1,238	8,963	4.031502	0.1042	0.072931	0.081346	0.068123	0.771389	0.736726	0.735925	0.713284	0.702264	0.69445	0.038705	0.27647	8,963	238	83	37.659664	0.730918	0.08245	0.645714	1	0	0	0	0	0.222857	1	0.091429	false	0	0.051429	0	0.154286	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	6
a71ae45f478f3e7e51a8b11a8faeca1b9e8ef6b1	47	py	Python	src/controllers/__init__.py	lokaimoma/Flask-QR-Code-Web-APP	5789753757aa1939119a799cbc6bda023ea75bbc	[ "MIT" ]	2	2022-03-05T18:54:15.000Z	2022-03-24T12:19:22.000Z	src/controllers/__init__.py	lokaimoma/Flask-QR-Code-Web-APP	5789753757aa1939119a799cbc6bda023ea75bbc	[ "MIT" ]	null	null	null	src/controllers/__init__.py	lokaimoma/Flask-QR-Code-Web-APP	5789753757aa1939119a799cbc6bda023ea75bbc	[ "MIT" ]	null	null	null	# Created by Kelvin_Clark on 3/5/2022, 6:26 PM	23.5	46	0.723404	11	47	3	1	0	0	0	0	0	0	0	0	0	0.230769	0.170213	47	1	47	47	0.615385	0.93617	null	0	null	0	0	null	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	null	0	0	0	1	0	0	0	0	6
59c982aa99ecab2469401932e8dde26bd64168fc	47	py	Python	tensordata/report/p2peye/__init__.py	Hourout/tensordata	cbef6742ee0d3bfc4b886358fc01618bb5b63603	[ "Apache-2.0" ]	13	2019-01-08T10:22:39.000Z	2020-06-17T10:02:47.000Z	tensordata/report/p2peye/__init__.py	Hourout/tensordata	cbef6742ee0d3bfc4b886358fc01618bb5b63603	[ "Apache-2.0" ]	null	null	null	tensordata/report/p2peye/__init__.py	Hourout/tensordata	cbef6742ee0d3bfc4b886358fc01618bb5b63603	[ "Apache-2.0" ]	1	2020-06-17T10:02:49.000Z	2020-06-17T10:02:49.000Z	from tensordata.report.p2peye._p2peye import *	23.5	46	0.829787	6	47	6.333333	0.833333	0	0	0	0	0	0	0	0	0	0.046512	0.085106	47	1	47	47	0.837209	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	null	0	0	0	1	0	1	0	1	6
59d62a99b9a6f1bfe738541f9e6f78285efe1e8a	8,355	py	Python	tests/model_lang/cellml/test_cellml_utils.py	biosimulators/Biosimulators_utils	c1363467263120bf1166da2b75e38fc7f56dc94f	[ "MIT" ]	2	2021-06-02T13:26:34.000Z	2021-12-27T23:12:47.000Z	tests/model_lang/cellml/test_cellml_utils.py	biosimulators/Biosimulators_utils	c1363467263120bf1166da2b75e38fc7f56dc94f	[ "MIT" ]	102	2020-12-06T19:47:43.000Z	2022-03-31T12:56:17.000Z	tests/model_lang/cellml/test_cellml_utils.py	biosimulators/Biosimulators_utils	c1363467263120bf1166da2b75e38fc7f56dc94f	[ "MIT" ]	4	2021-01-27T19:56:34.000Z	2022-02-03T21:08:20.000Z	from biosimulators_utils.model_lang.cellml.utils import get_parameters_variables_outputs_for_simulation from biosimulators_utils.sedml.data_model import (ModelLanguage, SteadyStateSimulation, OneStepSimulation, UniformTimeCourseSimulation, Symbol, ...	43.290155	150	0.614602	818	8,355	5.991443	0.134474	0.047745	0.0808	0.076923	0.857376	0.825138	0.771271	0.743114	0.731279	0.701081	0.012643	0.280551	8,355	192	151	43.515625	0.802695	0	0.658228	0	0	0.197606	0.113106	0	0.177215	1	0.031646	false	0	0.031646	0	0.088608	0.012658	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
abe55e665738cb7f2a5e3c3905c68296aff72a60	30	py	Python	file_level_analysis/sample.py	onai/code-ecosystem-analyzer	964d1ef5ec4d8f774c52aa2718663bb455d62ecb	[ "Apache-2.0" ]	null	null	null	file_level_analysis/sample.py	onai/code-ecosystem-analyzer	964d1ef5ec4d8f774c52aa2718663bb455d62ecb	[ "Apache-2.0" ]	null	null	null	file_level_analysis/sample.py	onai/code-ecosystem-analyzer	964d1ef5ec4d8f774c52aa2718663bb455d62ecb	[ "Apache-2.0" ]	null	null	null	import numpy as np import sys	10	18	0.8	6	30	4	0.833333	0	0	0	0	0	0	0	0	0	0	0.2	30	2	19	15	1	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	null	0	0	0	1	0	1	0	1	6
e61a57dc02f3e8d97a01a41192639efa80bf6f82	46	py	Python	core/datasets/__init__.py	JulesSanchez/spvnas	f039f91ee48140546890815682fe6c5672e49ae2	[ "MIT" ]	null	null	null	core/datasets/__init__.py	JulesSanchez/spvnas	f039f91ee48140546890815682fe6c5672e49ae2	[ "MIT" ]	null	null	null	core/datasets/__init__.py	JulesSanchez/spvnas	f039f91ee48140546890815682fe6c5672e49ae2	[ "MIT" ]	null	null	null	from .specific import * from .coarse import *	15.333333	23	0.73913	6	46	5.666667	0.666667	0	0	0	0	0	0	0	0	0	0	0.173913	46	2	24	23	0.894737	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	null	0	0	0	1	0	1	0	1	6
e6293db0f9f607220ccd072a5833bf67e8978df5	153	py	Python	set3/p3_8.py	Felpezs/IPL_2021	eaef2baec96f16c1486f4ec5af6eff097f81fcd2	[ "MIT" ]	1	2021-07-08T19:28:06.000Z	2021-07-08T19:28:06.000Z	set3/p3_8.py	Felpezs/IPL_2021	eaef2baec96f16c1486f4ec5af6eff097f81fcd2	[ "MIT" ]	null	null	null	set3/p3_8.py	Felpezs/IPL_2021	eaef2baec96f16c1486f4ec5af6eff097f81fcd2	[ "MIT" ]	null	null	null	def composite_result(f, g, x): return f(g(x)) def composite(f, g): def composite_func(x): return f(g(x)) return composite_func	21.857143	31	0.601307	25	153	3.56	0.32	0.089888	0.101124	0.202247	0.224719	0	0	0	0	0	0	0.267974	153	7	32	21.857143	0.794643	0	0.333333	0	0	0	0	0	0	1	0.5	false	0	0	0.333333	1	0	1	0	0	null	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	6
e65dfafd807f068ffd40e24cbb972e55c593efca	174	py	Python	Server/Python/src/dbs/dao/MySQL/Service/Insert.py	vkuznet/DBS	14df8bbe8ee8f874fe423399b18afef911fe78c7	[ "Apache-2.0" ]	8	2015-08-14T04:01:32.000Z	2021-06-03T00:56:42.000Z	Server/Python/src/dbs/dao/MySQL/Service/Insert.py	yuyiguo/DBS	14df8bbe8ee8f874fe423399b18afef911fe78c7	[ "Apache-2.0" ]	162	2015-01-07T21:34:47.000Z	2021-10-13T09:42:41.000Z	Server/Python/src/dbs/dao/MySQL/Service/Insert.py	yuyiguo/DBS	14df8bbe8ee8f874fe423399b18afef911fe78c7	[ "Apache-2.0" ]	16	2015-01-22T15:27:29.000Z	2021-04-28T09:23:28.000Z	#!/usr/bin/env python """ DAO Object for Services table """ from dbs.dao.Oracle.Service.Insert import Insert as OraServiceInsert class Insert(OraServiceInsert): pass	19.333333	68	0.747126	23	174	5.652174	0.826087	0	0	0	0	0	0	0	0	0	0	0.149425	174	8	69	21.75	0.878378	0.293103	0	0	0	0	0	0	0	1	0	true	0.333333	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	null	0	0	0	1	1	1	0	1	6
0512ea770e5f62c91c01161ce10a3b23bcc67ffb	14,715	py	Python	src/spudlang/SpudLexer.py	aaronstanek/spudlang	6c6a9d4d84d56b5a70690c642014cc99731ae75d	[ "MIT" ]	1	2021-08-05T19:11:09.000Z	2021-08-05T19:11:09.000Z	src/spudlang/SpudLexer.py	aaronstanek/spudlang	6c6a9d4d84d56b5a70690c642014cc99731ae75d	[ "MIT" ]	null	null	null	src/spudlang/SpudLexer.py	aaronstanek/spudlang	6c6a9d4d84d56b5a70690c642014cc99731ae75d	[ "MIT" ]	null	null	null	# Generated from Spud.g4 by ANTLR 4.9.2 from antlr4 import * from io import StringIO import sys if sys.version_info[1] > 5: from typing import TextIO else: from typing.io import TextIO def serializedATN(): with StringIO() as buf: buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u778...	59.817073	104	0.553993	3,288	14,715	2.448601	0.14264	0.137623	0.083095	0.091417	0.236492	0.159111	0.070302	0.063843	0.057881	0.052788	0.347033	0.161672	14,715	245	105	60.061224	0.30561	0.002514	0	1	0.594714	0.621457	0.575508	0	0	1	0.008811	false	0	0.026432	0	0.215859	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1	1	1	1	null	0	0	0	0	0	0	0	0	6
05561069a220c1967453d4bacb007ec611b6f4dc	39	py	Python	vega/search_space/fine_grained_space/cells/__init__.py	qixiuai/vega	3e6588ea4aedb03e3594a549a97ffdb86adb88d1	[ "MIT" ]	12	2020-12-13T08:34:24.000Z	2022-03-20T15:17:17.000Z	vega/search_space/fine_grained_space/cells/__init__.py	qixiuai/vega	3e6588ea4aedb03e3594a549a97ffdb86adb88d1	[ "MIT" ]	3	2021-03-31T20:15:40.000Z	2022-02-09T23:50:46.000Z	built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/search_space/fine_grained_space/cells/__init__.py	Huawei-Ascend/modelzoo	df51ed9c1d6dbde1deef63f2a037a369f8554406	[ "Apache-2.0" ]	2	2021-07-10T12:40:46.000Z	2021-12-17T07:55:15.000Z	from .basic import * from .sr import *	13	20	0.692308	6	39	4.5	0.666667	0	0	0	0	0	0	0	0	0	0	0.205128	39	2	21	19.5	0.870968	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	null	0	0	0	1	0	1	0	1	6
055fb35dde5bb6b06ea64f60343ecc03359803a8	41	py	Python	python/cendalytics/wikipedia/__init__.py	jiportilla/ontology	8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40	[ "MIT" ]	null	null	null	python/cendalytics/wikipedia/__init__.py	jiportilla/ontology	8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40	[ "MIT" ]	null	null	null	python/cendalytics/wikipedia/__init__.py	jiportilla/ontology	8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40	[ "MIT" ]	null	null	null	from .etl import * from .ingest import *	13.666667	21	0.707317	6	41	4.833333	0.666667	0	0	0	0	0	0	0	0	0	0	0.195122	41	2	22	20.5	0.878788	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	null	0	0	0	1	0	1	0	1	6
05885eedcfb81e89e5b44a164be9f8d56f3229f0	41	py	Python	src/hub/dataload/sources/ginas/__init__.py	ravila4/mychem.info	9b63b5f0957b5e7b252ca8122734a363905036b3	[ "Apache-2.0" ]	10	2017-07-24T11:45:27.000Z	2022-02-14T13:42:36.000Z	src/hub/dataload/sources/ginas/__init__.py	veleritas/mychem.info	bb22357d4cbbc3c4865da224bf998f2cbc59f8f2	[ "Apache-2.0" ]	92	2017-06-22T16:49:20.000Z	2022-03-24T20:50:01.000Z	src/hub/dataload/sources/ginas/__init__.py	veleritas/mychem.info	bb22357d4cbbc3c4865da224bf998f2cbc59f8f2	[ "Apache-2.0" ]	11	2017-06-12T18:31:35.000Z	2022-01-31T02:56:52.000Z	from .ginas_upload import GinasUploader	13.666667	39	0.853659	5	41	6.8	1	0	0	0	0	0	0	0	0	0	0	0.121951	41	2	40	20.5	0.944444	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	null	0	0	0	1	0	1	0	1	6
55527b1af053dacffaa803e01e452bded2c9d3d2	240	py	Python	rainbowmindmachine/__init__.py	rainbow-mind-machine/rainbow-mind-machine	3911ccf90db578e294f7e146916990ec14e1bdad	[ "MIT" ]	8	2018-05-17T03:00:57.000Z	2018-12-10T01:50:37.000Z	rainbowmindmachine/__init__.py	rainbow-mind-machine/rainbow-mind-machine	3911ccf90db578e294f7e146916990ec14e1bdad	[ "MIT" ]	55	2018-05-15T04:52:33.000Z	2018-09-09T23:48:29.000Z	rainbowmindmachine/__init__.py	rainbow-mind-machine/rainbow-mind-machine	3911ccf90db578e294f7e146916990ec14e1bdad	[ "MIT" ]	3	2018-05-13T05:33:01.000Z	2019-07-31T00:53:56.000Z	from .TwitterKeymaker import * from .TwitterShepherd import * from .TwitterSheep import * from .SocialSheep import * from .PoemSheep import * from .PhotoADaySheep import * from .queneau import DialogueAssembler from .QueneauSheep import *	24	38	0.8	25	240	7.68	0.44	0.3125	0	0	0	0	0	0	0	0	0	0.1375	240	9	39	26.666667	0.927536	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	null	0	0	0	1	0	1	0	1	6
e99c105da03b70563a4256273bbf6ac6e5d80cde	1,675	py	Python	2021/Day7/crabs.py	dh256/adventofcode	428eec13f4cbf153333a0e359bcff23070ef6d27	[ "MIT" ]	null	null	null	2021/Day7/crabs.py	dh256/adventofcode	428eec13f4cbf153333a0e359bcff23070ef6d27	[ "MIT" ]	null	null	null	2021/Day7/crabs.py	dh256/adventofcode	428eec13f4cbf153333a0e359bcff23070ef6d27	[ "MIT" ]	null	null	null	class Crabs: def __init__(self,filename): with open(filename,'r') as input_file: self.positions = [int(pos) for pos in input_file.readline().strip('\n').split(',')] self.min_pos = min(self.positions) self.max_pos = max(self.positions) def align(self): ''' ...	36.413043	105	0.583284	234	1,675	3.901709	0.239316	0.22782	0.192771	0.092004	0.71632	0.71632	0.71632	0.71632	0.650602	0.650602	0.008204	0.345075	1,675	46	106	36.413043	0.824066	0.175522	0.62069	0	0	0.003001	0	0	0	1	0.103448	false	0	0	0	0.206897	0	0	0	0	null	1	1	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
7568f78d03ec3d35b1ce6e92bafffc470456fbc9	18,244	py	Python	pinax/points/tests/test_points.py	hacklabr/pinax-points	1133c6d911e9fe9445ff45aebe118bcaf715aae0	[ "MIT" ]	28	2015-01-26T07:52:49.000Z	2022-03-20T17:15:04.000Z	pinax/points/tests/test_points.py	hacklabr/pinax-points	1133c6d911e9fe9445ff45aebe118bcaf715aae0	[ "MIT" ]	15	2017-12-04T07:35:49.000Z	2020-05-21T15:53:20.000Z	pinax/points/tests/test_points.py	hacklabr/pinax-points	1133c6d911e9fe9445ff45aebe118bcaf715aae0	[ "MIT" ]	14	2015-02-10T04:27:12.000Z	2021-10-05T10:27:21.000Z	from datetime import timedelta from django.conf import settings from django.contrib.auth.models import Group, User from django.core.exceptions import ImproperlyConfigured from django.template import Context, Template, TemplateSyntaxError from django.test import TestCase from pinax.points.models import ( AwardedPo...	37.539095	133	0.622122	2,276	18,244	4.793058	0.101494	0.0396	0.048859	0.098359	0.803098	0.776056	0.765698	0.748465	0.721423	0.695022	0.033959	0.249452	18,244	485	134	37.616495	0.762725	0.102938	0.56447	0	0.002865	0.145859	0	0	0.091691	1	0.117479	false	0.008596	0.020057	0	0.160458	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
757483b5d9638ac41a687904e963fd4e8a5e2d99	137	py	Python	src/data/__init__.py	acwooding/dimension_reduction	6ef1b4a0602a90c9292d657dca45dc37d420dbf3	[ "MIT" ]	4	2019-04-22T08:00:09.000Z	2020-10-06T02:48:35.000Z	src/data/__init__.py	hackalog/dimension_reduction	18c54256f4b1f1fbfe0b99e86b6701e708b7c85c	[ "MIT" ]	42	2018-06-30T14:47:25.000Z	2018-09-06T23:38:51.000Z	src/data/__init__.py	hackalog/dimension_reduction	18c54256f4b1f1fbfe0b99e86b6701e708b7c85c	[ "MIT" ]	2	2018-06-19T18:48:58.000Z	2018-06-27T21:31:55.000Z	from .datasets import * from .dset import * from .fetch import * from .localdata import * from .synthetic import * from .utils import *	17.125	24	0.729927	18	137	5.555556	0.444444	0.5	0	0	0	0	0	0	0	0	0	0.182482	137	7	25	19.571429	0.892857	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	null	0	0	0	1	0	1	0	1	6
7597b828ad26b32765f301495af371bcf52e3ed5	19,827	py	Python	sidekick/migrations/0001_initial.py	cybera/netbox_sidekick	bcb5b7946b246c65a5e4ac2294e1b4e9bc706e96	[ "Apache-2.0" ]	1	2020-07-14T15:36:45.000Z	2020-07-14T15:36:45.000Z	sidekick/migrations/0001_initial.py	cybera/netbox_sidekick	bcb5b7946b246c65a5e4ac2294e1b4e9bc706e96	[ "Apache-2.0" ]	null	null	null	sidekick/migrations/0001_initial.py	cybera/netbox_sidekick	bcb5b7946b246c65a5e4ac2294e1b4e9bc706e96	[ "Apache-2.0" ]	null	null	null	# Generated by Django 4.0.4 on 2022-04-17 21:47 import django.core.serializers.json from django.db import migrations, models import django.db.models.deletion import django.utils.timezone import taggit.managers class Migration(migrations.Migration): initial = True dependencies = [ ('ipam', '0043_add...	62.545741	201	0.608161	1,957	19,827	5.998978	0.095554	0.039097	0.044974	0.057581	0.817888	0.757325	0.712606	0.70724	0.693271	0.682283	0.008007	0.250416	19,827	316	202	62.743671	0.781927	0.00227	0.563107	1	0	0.213246	0.032558	0	0	1	0	false	0	0.016181	0	0.029126	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	6
75ead0e58bb363b07908c7824d051a449d2d5cc7	41	py	Python	src/datasets/ska/__init__.py	vairodp/AstroNet	33602d8e954246f5e2571f11cf331168f82198f8	[ "MIT" ]	7	2021-09-24T18:54:36.000Z	2021-12-14T15:40:26.000Z	src/datasets/ska/__init__.py	vairodp/AstroNet	33602d8e954246f5e2571f11cf331168f82198f8	[ "MIT" ]	null	null	null	src/datasets/ska/__init__.py	vairodp/AstroNet	33602d8e954246f5e2571f11cf331168f82198f8	[ "MIT" ]	2	2021-09-27T14:34:07.000Z	2021-11-13T23:50:43.000Z	"""ska dataset.""" from .ska import SKA	10.25	20	0.634146	6	41	4.333333	0.666667	0	0	0	0	0	0	0	0	0	0	0.170732	41	3	21	13.666667	0.764706	0.292683	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	null	0	0	0	1	0	1	0	1	6
f95bf1a94cfab645f407a55214a981003cccbbf0	117	py	Python	data/__main__.py	RuijieYu/algo	280d3711ef87af900276dfc24b842c5f2acc47f0	[ "MIT" ]	null	null	null	data/__main__.py	RuijieYu/algo	280d3711ef87af900276dfc24b842c5f2acc47f0	[ "MIT" ]	1	2019-06-10T15:37:01.000Z	2019-06-10T15:37:01.000Z	data/__main__.py	JAMESY9868/algo	280d3711ef87af900276dfc24b842c5f2acc47f0	[ "MIT" ]	null	null	null	#!/usr/bin/env -S python3 #-i # from . import Matrix; # from . import Graph; def main() -> None: pass main();	11.7	29	0.581197	17	117	4	0.823529	0.294118	0	0	0	0	0	0	0	0	0.011111	0.230769	117	9	30	13	0.744444	0.598291	0	0	0	0	0	0	0	1	0.333333	true	0.333333	0	0	0.333333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	1	1	0	0	0	6
f9a3296f063e88381d09d1472aba0ebd90182fd1	23,630	py	Python	tests/test_conductor.py	agrc/porer	d99adcb373665cdf295d02412b5ff63202ff0bab	[ "MIT" ]	null	null	null	tests/test_conductor.py	agrc/porer	d99adcb373665cdf295d02412b5ff63202ff0bab	[ "MIT" ]	null	null	null	tests/test_conductor.py	agrc/porer	d99adcb373665cdf295d02412b5ff63202ff0bab	[ "MIT" ]	null	null	null	#!/usr/bin/env python # * coding: utf8 * """ test_conductor .py A module that contains tests for the project module. """ import json from collections import namedtuple from os import environ from pathlib import Path from github.Issue import Issue from github.Label import Label from github.Requester import Requester ...	31.256614	144	0.652433	2,544	23,630	5.872248	0.084513	0.031327	0.028114	0.029453	0.853939	0.834661	0.817658	0.805676	0.780106	0.770333	0.003178	0.201016	23,630	755	145	31.298013	0.788083	0.004613	0.58	0	0.004444	0.205795	0.05146	0	0.091111	1	0.073333	false	0.008889	0.022222	0	0.095556	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
f9dcd20846a1668180a7e9675bb6fd18ee1aacd0	29,447	py	Python	bipartite_random_graph.py	joaovaleriano/EcoNets-QBio2021	6e21880118997cab386a140a13d5bc7003e0d2ca	[ "MIT" ]	null	null	null	bipartite_random_graph.py	joaovaleriano/EcoNets-QBio2021	6e21880118997cab386a140a13d5bc7003e0d2ca	[ "MIT" ]	null	null	null	bipartite_random_graph.py	joaovaleriano/EcoNets-QBio2021	6e21880118997cab386a140a13d5bc7003e0d2ca	[ "MIT" ]	null	null	null	#!/usr/bin/env python3 # -- coding: utf-8 -- """ Created on Tue Jul 27 16:54:30 2021 @author: joao-valeriano """ import numpy as np import networkx as nx from networkx.algorithms import bipartite import matplotlib.pyplot as plt from tqdm import tqdm import time def gen_random_net(n0, n1, coop_freq0, coop_freq1, n_...	41.828125	158	0.610589	4,281	29,447	4.040645	0.078954	0.026824	0.032316	0.023529	0.868424	0.830501	0.79489	0.752399	0.701064	0.677477	0.040727	0.265392	29,447	704	159	41.828125	0.758922	0.366761	0.546012	0	0.015337	0.042716	0.010015	0	0	1	0.03681	false	0	0.018405	0	0.070552	0.01227	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
fb03d9c556a4f20fc8d865d6640dcb6d5f9f3cab	43	py	Python	pdip/integrator/connection/types/sql/connectors/mysql/__init__.py	ahmetcagriakca/pdip	c4c16d5666a740154cabdc6762cd44d98b7bdde8	[ "MIT" ]	2	2021-12-09T21:07:46.000Z	2021-12-11T22:18:01.000Z	pdip/connection/database/connectors/mysql/__init__.py	fmuyilmaz/pdip	f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab	[ "MIT" ]	null	null	null	pdip/connection/database/connectors/mysql/__init__.py	fmuyilmaz/pdip	f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab	[ "MIT" ]	3	2021-11-15T00:47:00.000Z	2021-12-17T11:35:45.000Z	from .mysql_connector import MysqlConnector	43	43	0.906977	5	43	7.6	1	0	0	0	0	0	0	0	0	0	0	0.069767	43	1	43	43	0.95	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	null	0	0	0	1	0	1	0	1	6
34ceba59d588b651e637f8ba5a279ca7bf3c790a	31	py	Python	bottoken.py	nkbolg/p2p-chess-telebot	392f30214a68d3d0346560dfe164b9b7b5101f1a	[ "MIT" ]	null	null	null	bottoken.py	nkbolg/p2p-chess-telebot	392f30214a68d3d0346560dfe164b9b7b5101f1a	[ "MIT" ]	null	null	null	bottoken.py	nkbolg/p2p-chess-telebot	392f30214a68d3d0346560dfe164b9b7b5101f1a	[ "MIT" ]	null	null	null	token = '123456789sampletoken'	15.5	30	0.806452	2	31	12.5	1	0	0	0	0	0	0	0	0	0	0.321429	0.096774	31	1	31	31	0.571429	0	0	0	0	0.645161	0	0	0	1	0	false	0	0	0	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	1	0	null	0	0	0	0	0	0	0	0	6
550b19e6f2d2110abf31dd17d5074796dc0b4785	133	py	Python	strictly_typed_pandas/__init__.py	nanne-aben/strictly_typed_pandas	c33a3cdbb4a768966f18ab75ded446f40e486164	[ "MIT" ]	12	2021-07-19T11:41:30.000Z	2022-03-28T12:30:40.000Z	strictly_typed_pandas/__init__.py	nanne-aben/strictly_typed_pandas	c33a3cdbb4a768966f18ab75ded446f40e486164	[ "MIT" ]	1	2021-09-18T12:56:29.000Z	2021-09-20T09:08:21.000Z	strictly_typed_pandas/__init__.py	nanne-aben/strictly_typed_pandas	c33a3cdbb4a768966f18ab75ded446f40e486164	[ "MIT" ]	null	null	null	from strictly_typed_pandas.dataset import DataSet, IndexedDataSet # noqa: F401 import strictly_typed_pandas.typeguard # noqa: F401	44.333333	79	0.834586	17	133	6.294118	0.588235	0.242991	0.35514	0	0	0	0	0	0	0	0.050847	0.112782	133	2	80	66.5	0.855932	0.157895	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	6
9b57d7bd382699e7753663f56b243c7632221a0b	10,279	py	Python	simulators/1_small_simulations/scenarios.py	Arseni1919/dcop_simulator_3	a4e2f5b7b2ecf10b595d3cdd1df0c07c833cb15b	[ "MIT" ]	null	null	null	simulators/1_small_simulations/scenarios.py	Arseni1919/dcop_simulator_3	a4e2f5b7b2ecf10b595d3cdd1df0c07c833cb15b	[ "MIT" ]	null	null	null	simulators/1_small_simulations/scenarios.py	Arseni1919/dcop_simulator_3	a4e2f5b7b2ecf10b595d3cdd1df0c07c833cb15b	[ "MIT" ]	null	null	null	from simulators.nodes import * def scenario_n_1(): agents = { 'target0': { 'num': 0, 'req': 50, 'cells_near_me': [0] }, 'robot0': { 'num': 0, 'cred': 28, 'domain': [0, 1] }, 'robot1': { 'num...	34.962585	120	0.577196	1,211	10,279	4.727498	0.07019	0.047162	0.102183	0.073013	0.833712	0.812926	0.811004	0.762271	0.72821	0.708996	0.052666	0.257418	10,279	293	121	35.081911	0.697367	0.010312	0.58	0	0	0.074592	0	0	0	1	0.04	false	0	0.004	0	0.084	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
9b86293b174d602dab67dbfd4532ad2d7840f7c4	2,595	py	Python	tests/test_gamessus/test_SequentialFile.py	lmmentel/chemtools	3f8f870da52b5d8a76a4be4f99e18cd865adaa7c	[ "MIT" ]	7	2020-03-07T18:09:34.000Z	2021-07-18T15:02:24.000Z	tests/test_gamessus/test_SequentialFile.py	lmmentel/chemtools	3f8f870da52b5d8a76a4be4f99e18cd865adaa7c	[ "MIT" ]	3	2020-11-24T23:34:14.000Z	2022-03-28T13:39:00.000Z	tests/test_gamessus/test_SequentialFile.py	lmmentel/chemtools	3f8f870da52b5d8a76a4be4f99e18cd865adaa7c	[ "MIT" ]	6	2020-09-18T10:29:24.000Z	2022-01-14T13:19:15.000Z	import unittest from chemtools.calculators.gamessreader import SequentialFile import os import numpy as np class TestSequentialFileHeMini(unittest.TestCase): def setUp(self): seqfile = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'data/he/he_mini_hf.F08') ...	33.701299	114	0.647784	339	2,595	4.702065	0.218289	0.090339	0.050188	0.060226	0.769134	0.769134	0.769134	0.769134	0.767252	0.708281	0.012382	0.221965	2,595	76	115	34.144737	0.777117	0.064355	0.48	0	0	0.074639	0.07134	0	0.08	1	0.26	false	0.02	0.08	0	0.42	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	6
fd4b1d49ed391a1f9ec135b28abf18fc784b1a18	143	py	Python	astronex/scripts/scripts.py	jaratma/astro-nex	f849163dbb24fe006dac3569784d8247236b178b	[ "MIT" ]	1	2018-09-24T20:33:12.000Z	2018-09-24T20:33:12.000Z	astronex/scripts/scripts.py	anblaca3790/astro-nex	e5a1c5e6aa01a343894a3dfb2adc0b36df6612e1	[ "MIT" ]	null	null	null	astronex/scripts/scripts.py	anblaca3790/astro-nex	e5a1c5e6aa01a343894a3dfb2adc0b36df6612e1	[ "MIT" ]	1	2018-09-24T20:33:17.000Z	2018-09-24T20:33:17.000Z	# -- coding: utf-8 -- class Script(object): def __init__(self,boss): self.boss = boss def run(self,ag,*kw): pass	15.888889	28	0.531469	19	143	3.789474	0.736842	0.222222	0	0	0	0	0	0	0	0	0.009804	0.286713	143	8	29	17.875	0.696078	0.146853	0	0	0	0	0	0	0	1	0.4	false	0.2	0	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	null	0	0	1	0	1	0	0	1	6
bd2482e94d8b8ec8d45d0d08489f0c915060f7e9	126	py	Python	students/K33402/Velts Andrey/lab0304/backend/lost/admin.py	ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021	bb91c91a56d21cec2b12ae4cc722eaa652a88420	[ "MIT" ]	4	2020-09-03T15:41:42.000Z	2021-12-24T15:28:20.000Z	students/K33402/Velts Andrey/lab0304/backend/lost/admin.py	ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021	bb91c91a56d21cec2b12ae4cc722eaa652a88420	[ "MIT" ]	48	2020-09-13T20:22:42.000Z	2021-04-30T11:13:30.000Z	students/K33402/Velts Andrey/lab0304/backend/lost/admin.py	ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021	bb91c91a56d21cec2b12ae4cc722eaa652a88420	[ "MIT" ]	69	2020-09-06T10:32:37.000Z	2021-11-28T18:13:17.000Z	from django.contrib import admin from .models import Lost @admin.register(Lost) class LostAdmin(admin.ModelAdmin): pass	15.75	34	0.777778	17	126	5.764706	0.705882	0	0	0	0	0	0	0	0	0	0	0.142857	126	7	35	18	0.907407	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	1	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	1	6
bd2f10616ab76038ef965f473a72ea2e546131b5	149	py	Python	src/django_website/contact_us/views.py	jdheinz/project-ordo_ab_chao	4063f93b297bab43cff6ca64fa5ba103f0c75158	[ "MIT" ]	2	2019-09-23T18:42:32.000Z	2019-09-27T00:33:38.000Z	src/django_website/contact_us/views.py	jdheinz/project-ordo_ab_chao	4063f93b297bab43cff6ca64fa5ba103f0c75158	[ "MIT" ]	6	2021-03-19T03:25:33.000Z	2022-02-10T08:48:14.000Z	src/django_website/contact_us/views.py	jdheinz/project-ordo_ab_chao	4063f93b297bab43cff6ca64fa5ba103f0c75158	[ "MIT" ]	6	2019-09-23T18:53:41.000Z	2020-02-06T00:20:06.000Z	from django.shortcuts import render # render 'contact us' html page def contact_page(request): return render(request, 'contact_us/contact.html')	29.8	53	0.778523	21	149	5.428571	0.571429	0.157895	0	0	0	0	0	0	0	0	0	0.127517	149	5	53	29.8	0.876923	0.194631	0	0	0	0.193277	0.193277	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	1	0	0	1	1	1	6
bd473bd0b20e414ced31990ae77091b425852441	160	py	Python	blendz/photometry/__init__.py	danmichaeljones/blendz	215e73ccd6471f9125b4bba57ad059b5d400344c	[ "MIT" ]	6	2018-08-09T06:08:24.000Z	2020-03-11T16:59:49.000Z	blendz/photometry/__init__.py	danmichaeljones/blendz	215e73ccd6471f9125b4bba57ad059b5d400344c	[ "MIT" ]	null	null	null	blendz/photometry/__init__.py	danmichaeljones/blendz	215e73ccd6471f9125b4bba57ad059b5d400344c	[ "MIT" ]	1	2020-11-05T20:39:59.000Z	2020-11-05T20:39:59.000Z	from .galaxy import Galaxy from .photometry_base import PhotometryBase from .photometry import Photometry from .simulated_photometry import SimulatedPhotometry	32	53	0.875	18	160	7.666667	0.444444	0.202899	0	0	0	0	0	0	0	0	0	0.1	160	4	54	40	0.958333	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	null	0	0	0	1	0	1	0	1	6
1fe9a734803d34d935fcbbfa060e666eeeeeac3d	103	py	Python	bundle/deepracer_simulation_environment/lib/python2.7/dist-packages/deepracer_simulation_environment/srv/__init__.py	larsll/deepracer-simapp	9251c32ff33d49955b63ccca4f38d01a0c721d4f	[ "MIT" ]	1	2022-02-23T20:34:00.000Z	2022-02-23T20:34:00.000Z	bundle/deepracer_simulation_environment/lib/python2.7/dist-packages/deepracer_simulation_environment/srv/__init__.py	Bandwidth/deepracer-simapp	9bf0a5f9c55e37ecef8e72b1b6dc15ecb0370bc1	[ "MIT" ]	null	null	null	bundle/deepracer_simulation_environment/lib/python2.7/dist-packages/deepracer_simulation_environment/srv/__init__.py	Bandwidth/deepracer-simapp	9bf0a5f9c55e37ecef8e72b1b6dc15ecb0370bc1	[ "MIT" ]	null	null	null	from ._TopCamDataSrv import * from ._VideoMetricsSrv import * from ._VirtualEventVideoEditSrv import *	25.75	40	0.825243	9	103	9.111111	0.555556	0.243902	0	0	0	0	0	0	0	0	0	0.116505	103	3	41	34.333333	0.901099	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	null	0	0	0	1	0	1	0	1	6
95238600d29414c6ec1ac5c195c4de8d56b95d6f	18,374	py	Python	src/manifold_cct.py	iliasprc/ManifoldViT	512d3b222409a91f756235a0809572ab1ee068bf	[ "Apache-2.0" ]	null	null	null	src/manifold_cct.py	iliasprc/ManifoldViT	512d3b222409a91f756235a0809572ab1ee068bf	[ "Apache-2.0" ]	null	null	null	src/manifold_cct.py	iliasprc/ManifoldViT	512d3b222409a91f756235a0809572ab1ee068bf	[ "Apache-2.0" ]	null	null	null	import torch.nn as nn from torch.hub import load_state_dict_from_url from .utils.helpers import pe_check from .utils.manifold_model import ManifoldformerClassifier from .utils.tokenizer import Tokenizer try: from timm.models.registry import register_model except ImportError: from .registry import register_mod...	46.282116	120	0.579242	1,981	18,374	4.990409	0.077739	0.089015	0.042484	0.070403	0.817317	0.803257	0.798806	0.788691	0.775238	0.763807	0.050329	0.338195	18,374	396	121	46.39899	0.762664	0.006749	0.517028	0	0.018576	0.094048	0.030966	0	0	1	0.099071	false	0	0.024768	0.089783	0.22291	0.003096	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
20f6d132bc3cb9738f7fb28f24294adb2e213f9e	7,727	py	Python	src/tests/test_Dupetable_autoselect.py	chris2013/pydupe	be8fd2dd2a905899e376be4e0b3d2fc8482e89e6	[ "MIT" ]	null	null	null	src/tests/test_Dupetable_autoselect.py	chris2013/pydupe	be8fd2dd2a905899e376be4e0b3d2fc8482e89e6	[ "MIT" ]	3	2022-01-28T15:54:54.000Z	2022-01-28T15:58:23.000Z	src/tests/test_Dupetable_autoselect.py	chris2013/pydupe	be8fd2dd2a905899e376be4e0b3d2fc8482e89e6	[ "MIT" ]	null	null	null	import os import pathlib as pl import tempfile import typing as tp import pydupe.dupetable as dupetable import pytest from pydupe.db import PydupeDB from pydupe.hasher import Hasher cwd = str(pl.Path.cwd()) tdata = cwd + "/pydupe/pydupe/" home = str(pl.Path.home()) @pytest.fixture def setup_database() -> tp.Generat...	37.328502	179	0.644882	846	7,727	5.572104	0.105201	0.050912	0.033941	0.050912	0.818201	0.794442	0.788078	0.776623	0.776623	0.776623	0.107895	0.244338	7,727	206	180	37.509709	0.699435	0.006212	0.592593	0	0	0.271898	0.237748	0	0.123457	1	0.067901	false	0	0.049383	0	0.123457	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
1f0e6d4b168aec800e4e3177814bf31606b0bd80	21,725	py	Python	tests/integration/views/surveys/help/test_surveys_help_info_about_this_survey.py	uk-gov-mirror/ONSdigital.ras-frontstage	4bf0f779f37d2a9ce7efe9f11c9b55a7a398faae	[ "MIT" ]	null	null	null	tests/integration/views/surveys/help/test_surveys_help_info_about_this_survey.py	uk-gov-mirror/ONSdigital.ras-frontstage	4bf0f779f37d2a9ce7efe9f11c9b55a7a398faae	[ "MIT" ]	null	null	null	tests/integration/views/surveys/help/test_surveys_help_info_about_this_survey.py	uk-gov-mirror/ONSdigital.ras-frontstage	4bf0f779f37d2a9ce7efe9f11c9b55a7a398faae	[ "MIT" ]	null	null	null	import unittest from unittest.mock import patch import requests_mock from frontstage import app from tests.integration.mocked_services import encoded_jwt_token, survey_eq, survey, survey_list_todo, url_banner_api, \ survey_rsi class TestSurveyHelpInfoAboutThisSurvey(unittest.TestCase): def setUp(self): ...	56.428571	207	0.656985	2,539	21,725	5.430484	0.11343	0.08094	0.12141	0.119669	0.812373	0.795982	0.780171	0.777415	0.775675	0.775675	0.031377	0.241565	21,725	384	208	56.575521	0.805365	0.000184	0.694767	0	0.040698	0.332428	0.147198	0	0.322674	1	0.05814	false	0	0.014535	0	0.075581	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
1f1927ee7d6bcd13326417d91175c37fb9ac1332	27,996	py	Python	code/helper2.py	silvernine209/bitcoin_trader	be2304dd5bf820e6b42b743129723f3c31bdc3a5	[ "MIT" ]	10	2020-02-07T23:31:34.000Z	2021-12-17T17:29:08.000Z	code/helper2.py	silvernine209/bitcoin_trader	be2304dd5bf820e6b42b743129723f3c31bdc3a5	[ "MIT" ]	null	null	null	code/helper2.py	silvernine209/bitcoin_trader	be2304dd5bf820e6b42b743129723f3c31bdc3a5	[ "MIT" ]	2	2020-07-31T17:27:56.000Z	2021-04-23T18:27:48.000Z	def graph_sentiment_profit(publisher,positive_sentiment_threshold,min_date): SMALL_SIZE = 15 MEDIUM_SIZE = 20 BIGGER_SIZE = 40 plt.rc('font', size=MEDIUM_SIZE) # controls default text sizes plt.rc('axes', titlesize=MEDIUM_SIZE) # fontsize of the axes title plt.rc('axes', labelsize=...	61.801325	222	0.722425	3,823	27,996	4.94193	0.085273	0.16387	0.172974	0.091462	0.824326	0.79061	0.746996	0.732705	0.713756	0.67914	0.022071	0.155201	27,996	453	223	61.801325	0.776754	0.174918	0.535354	0	0	0.180601	0.068867	0	0	1	0.030303	false	0	0.003367	0	0.057239	0.010101	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
1f2221c4741408cc7aa559470b02e4d6be95506a	88	py	Python	cifar_imagenet/models_backup/imagenet_v4_1/__init__.py	minhtannguyen/RAdam	44f403288df375bae0785cc82dd8c888eaaaa441	[ "Apache-2.0" ]	null	null	null	cifar_imagenet/models_backup/imagenet_v4_1/__init__.py	minhtannguyen/RAdam	44f403288df375bae0785cc82dd8c888eaaaa441	[ "Apache-2.0" ]	null	null	null	cifar_imagenet/models_backup/imagenet_v4_1/__init__.py	minhtannguyen/RAdam	44f403288df375bae0785cc82dd8c888eaaaa441	[ "Apache-2.0" ]	null	null	null	from __future__ import absolute_import from .resnext import * from .horesnet import *	14.666667	38	0.795455	11	88	5.909091	0.545455	0.307692	0	0	0	0	0	0	0	0	0	0.159091	88	5	39	17.6	0.878378	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	null	0	0	0	1	0	1	0	1	6
1f403e240e1a258b3108300a48b72438fe9f0388	121	py	Python	survae/tests/distributions/conditional/__init__.py	alisiahkoohi/survae_flows	e1747b05524c7ab540a211ed360ab3e67bc3e96d	[ "MIT" ]	262	2020-07-05T20:57:44.000Z	2022-03-28T02:24:43.000Z	survae/tests/distributions/conditional/__init__.py	alisiahkoohi/survae_flows	e1747b05524c7ab540a211ed360ab3e67bc3e96d	[ "MIT" ]	17	2020-08-15T05:43:34.000Z	2022-01-31T12:24:21.000Z	survae/tests/distributions/conditional/__init__.py	alisiahkoohi/survae_flows	e1747b05524c7ab540a211ed360ab3e67bc3e96d	[ "MIT" ]	35	2020-08-24T06:55:37.000Z	2022-02-11T05:17:58.000Z	from .base import ConditionalDistributionTest from .bernoulli import * from .categorical import * from .normal import *	20.166667	45	0.801653	13	121	7.461538	0.538462	0.206186	0	0	0	0	0	0	0	0	0	0.140496	121	5	46	24.2	0.932692	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	null	0	0	0	1	0	1	0	1	6
1f73f1dbdf9dd22cd8274e0ac9a7cd20a23174ed	214	py	Python	rocketchat_API/APIExceptions/RocketExceptions.py	dudanogueira/rocketchat_API	190952f07ce04a356c79ad29e9d1e01dea620ba6	[ "MIT" ]	210	2017-03-20T13:36:24.000Z	2022-03-30T17:37:02.000Z	rocketchat_API/APIExceptions/RocketExceptions.py	dudanogueira/rocketchat_API	190952f07ce04a356c79ad29e9d1e01dea620ba6	[ "MIT" ]	144	2017-03-21T13:50:22.000Z	2022-03-28T09:43:26.000Z	rocketchat_API/APIExceptions/RocketExceptions.py	dudanogueira/rocketchat_API	190952f07ce04a356c79ad29e9d1e01dea620ba6	[ "MIT" ]	103	2017-03-20T13:54:54.000Z	2022-03-22T05:00:18.000Z	class RocketException(Exception): pass class RocketConnectionException(Exception): pass class RocketAuthenticationException(Exception): pass class RocketMissingParamException(Exception): pass	14.266667	47	0.785047	16	214	10.5	0.4375	0.309524	0.321429	0	0	0	0	0	0	0	0	0.158879	214	14	48	15.285714	0.933333	0	0.5	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	1	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	6
1f8c695c9ea542dc753532bd889f8aef7db24b85	100	py	Python	The_Python3_Standard_Library_by_Example/Chapter_1_Text/1.9.textwrap_fill.py	maainul/Paython	c72d7fff3b00bc4f379ca6f9dbef0678f01b55f9	[ "DOC" ]	null	null	null	The_Python3_Standard_Library_by_Example/Chapter_1_Text/1.9.textwrap_fill.py	maainul/Paython	c72d7fff3b00bc4f379ca6f9dbef0678f01b55f9	[ "DOC" ]	null	null	null	The_Python3_Standard_Library_by_Example/Chapter_1_Text/1.9.textwrap_fill.py	maainul/Paython	c72d7fff3b00bc4f379ca6f9dbef0678f01b55f9	[ "DOC" ]	null	null	null	import textwrap from textwrap_example import sample_text print(textwrap.fill(sample_text,width=50))	25	42	0.86	15	100	5.533333	0.666667	0.240964	0	0	0	0	0	0	0	0	0.021505	0.07	100	3	43	33.333333	0.870968	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0.333333	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	6
2f09fb9b88b491b94b8f74183f7e6d4003b6b9ca	2,726	py	Python	publications/migrations/0037_auto_20190418_1723.py	gormshackelford/metadataset	ab8a1c0c70a508da37b3a64906ba85c69dd74b6b	[ "MIT" ]	2	2019-12-18T12:00:02.000Z	2020-03-11T01:15:45.000Z	publications/migrations/0037_auto_20190418_1723.py	gormshackelford/metadataset	ab8a1c0c70a508da37b3a64906ba85c69dd74b6b	[ "MIT" ]	2	2020-06-06T00:01:13.000Z	2021-06-10T22:09:30.000Z	publications/migrations/0037_auto_20190418_1723.py	gormshackelford/metadataset	ab8a1c0c70a508da37b3a64906ba85c69dd74b6b	[ "MIT" ]	1	2020-01-07T12:28:43.000Z	2020-01-07T12:28:43.000Z	# Generated by Django 2.0 on 2019-04-18 17:23 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('publications', '0036_auto_20190418_1307'), ] operations = [ migrations.RemoveField( model_name='e...	43.967742	186	0.652605	276	2,726	6.286232	0.177536	0.073775	0.072622	0.114121	0.804611	0.804611	0.804611	0.751009	0.712392	0.470317	0.014238	0.227073	2,726	61	187	44.688525	0.809207	0.015774	0.509091	1	0	0.218202	0.121969	0	0	1	0	false	0	0.036364	0	0.090909	0	0	0	0	null	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	6
2f3b63eba107f578528b46b96640d0959ad266f1	95	py	Python	reid/datasets.py	wan2000/hcmus-person-reid	2bacb7c2694405053c23d035153332c7802572c1	[ "MIT" ]	4	2021-06-17T05:43:47.000Z	2021-06-17T16:20:12.000Z	reid/datasets.py	wan2000/hcmus-person-reid	2bacb7c2694405053c23d035153332c7802572c1	[ "MIT" ]	null	null	null	reid/datasets.py	wan2000/hcmus-person-reid	2bacb7c2694405053c23d035153332c7802572c1	[ "MIT" ]	1	2021-06-17T15:11:38.000Z	2021-06-17T15:11:38.000Z	from .market1501_trainval import Market1501TrainVal from .market1501_test import Market1501Test	47.5	51	0.905263	10	95	8.4	0.7	0.333333	0	0	0	0	0	0	0	0	0.181818	0.073684	95	2	52	47.5	0.772727	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	null	0	0	0	1	0	1	0	1	6
c8223cfa7ac041b0dd445f19bc68cfef1405015a	104	py	Python	app/controllers/user.py	aries-zhang/flask-template	369d77f2910f653f46668dd9bda735954b6c145e	[ "MIT" ]	null	null	null	app/controllers/user.py	aries-zhang/flask-template	369d77f2910f653f46668dd9bda735954b6c145e	[ "MIT" ]	null	null	null	app/controllers/user.py	aries-zhang/flask-template	369d77f2910f653f46668dd9bda735954b6c145e	[ "MIT" ]	null	null	null	from app import app @app.route('/login/<string:key>') def login(key): return 'user %s login' % key	17.333333	33	0.653846	17	104	4	0.647059	0.235294	0	0	0	0	0	0	0	0	0	0.173077	104	5	34	20.8	0.790698	0	0	0	0	0.307692	0	0	0	1	0.25	false	0	0.25	0.25	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	null	0	0	1	0	0	0	1	1	6
c8413d3862428f20d596fa9319ad94230aa535b0	21	py	Python	deepctr_torch/models/__init__.py	Aliiiqbp/DeepCTR-Torch	b14cd0a45d9c51a2cbeea0fe8ca31c6e67479956	[ "Apache-2.0" ]	null	null	null	deepctr_torch/models/__init__.py	Aliiiqbp/DeepCTR-Torch	b14cd0a45d9c51a2cbeea0fe8ca31c6e67479956	[ "Apache-2.0" ]	null	null	null	deepctr_torch/models/__init__.py	Aliiiqbp/DeepCTR-Torch	b14cd0a45d9c51a2cbeea0fe8ca31c6e67479956	[ "Apache-2.0" ]	null	null	null	from .wdl import WDL	10.5	20	0.761905	4	21	4	0.75	0	0	0	0	0	0	0	0	0	0	0.190476	21	1	21	21	0.941176	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	null	0	0	0	1	0	1	0	1	6
c857b1651e04ddb6947182c87b7459e9f03f3dbf	5,824	py	Python	src/PullImages/Scripts.py	foundation29org/Dx29.Compose	e092631d91a0977023a1c9d8bcb1c693208e9504	[ "MIT" ]	null	null	null	src/PullImages/Scripts.py	foundation29org/Dx29.Compose	e092631d91a0977023a1c9d8bcb1c693208e9504	[ "MIT" ]	null	null	null	src/PullImages/Scripts.py	foundation29org/Dx29.Compose	e092631d91a0977023a1c9d8bcb1c693208e9504	[ "MIT" ]	null	null	null	import os # Login in Azure os.system('az login') # Login in container registry os.system('az acr login --name <acr_name>') # Docker pull images # Bioentity output = os.popen('az acr repository show-tags --name <acr_name> --repository dx29bioentity --top 1 --orderby time_desc').read() latest_tag = output.split("\n")...	47.349593	136	0.709993	819	5,824	4.893773	0.070818	0.125749	0.146707	0.052395	0.830838	0.830838	0.830838	0.766966	0.745509	0.745509	0.022481	0.114011	5,824	122	137	47.737705	0.754264	0.103365	0.555556	0	0.061728	0.497114	0.116199	0	0	1	0	false	0	0.012346	0	0.012346	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6

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