Split (1)

train · 253k rows

hexsha string	size int64	ext string	lang string	max_stars_repo_path string	max_stars_repo_name string	max_stars_repo_head_hexsha string	max_stars_repo_licenses list	max_stars_count int64	max_stars_repo_stars_event_min_datetime string	max_stars_repo_stars_event_max_datetime string	max_issues_repo_path string	max_issues_repo_name string	max_issues_repo_head_hexsha string	max_issues_repo_licenses list	max_issues_count int64	max_issues_repo_issues_event_min_datetime string	max_issues_repo_issues_event_max_datetime string	max_forks_repo_path string	max_forks_repo_name string	max_forks_repo_head_hexsha string	max_forks_repo_licenses list	max_forks_count int64	max_forks_repo_forks_event_min_datetime string	max_forks_repo_forks_event_max_datetime string	content string	avg_line_length float64	max_line_length int64	alphanum_fraction float64	qsc_code_num_words_quality_signal int64	qsc_code_num_chars_quality_signal float64	qsc_code_mean_word_length_quality_signal float64	qsc_code_frac_words_unique_quality_signal float64	qsc_code_frac_chars_top_2grams_quality_signal float64	qsc_code_frac_chars_top_3grams_quality_signal float64	qsc_code_frac_chars_top_4grams_quality_signal float64	qsc_code_frac_chars_dupe_5grams_quality_signal float64	qsc_code_frac_chars_dupe_6grams_quality_signal float64	qsc_code_frac_chars_dupe_7grams_quality_signal float64	qsc_code_frac_chars_dupe_8grams_quality_signal float64	qsc_code_frac_chars_dupe_9grams_quality_signal float64	qsc_code_frac_chars_dupe_10grams_quality_signal float64	qsc_code_frac_chars_digital_quality_signal float64	qsc_code_frac_chars_whitespace_quality_signal float64	qsc_code_size_file_byte_quality_signal float64	qsc_code_num_lines_quality_signal float64	qsc_code_num_chars_line_max_quality_signal float64	qsc_code_num_chars_line_mean_quality_signal float64	qsc_code_frac_chars_alphabet_quality_signal float64	qsc_code_frac_chars_comments_quality_signal float64	qsc_code_frac_lines_dupe_lines_quality_signal float64	qsc_code_cate_autogen_quality_signal float64	qsc_code_frac_lines_long_string_quality_signal float64	qsc_code_frac_chars_string_length_quality_signal float64	qsc_code_frac_chars_long_word_length_quality_signal float64	qsc_code_frac_lines_string_concat_quality_signal float64	qsc_code_frac_lines_prompt_comments_quality_signal float64	qsc_code_frac_lines_assert_quality_signal float64	qsc_codepython_cate_ast_quality_signal float64	qsc_codepython_frac_lines_func_ratio_quality_signal float64	qsc_codepython_cate_var_zero_quality_signal bool	qsc_codepython_frac_lines_pass_quality_signal float64	qsc_codepython_frac_lines_import_quality_signal float64	qsc_codepython_frac_lines_simplefunc_quality_signal float64	qsc_codepython_score_lines_no_logic_quality_signal float64	qsc_codepython_frac_lines_print_quality_signal float64	qsc_code_num_words int64	qsc_code_num_chars int64	qsc_code_mean_word_length int64	qsc_code_frac_words_unique null	qsc_code_frac_chars_top_2grams int64	qsc_code_frac_chars_top_3grams int64	qsc_code_frac_chars_top_4grams int64	qsc_code_frac_chars_dupe_5grams int64	qsc_code_frac_chars_dupe_6grams int64	qsc_code_frac_chars_dupe_7grams int64	qsc_code_frac_chars_dupe_8grams int64	qsc_code_frac_chars_dupe_9grams int64	qsc_code_frac_chars_dupe_10grams int64	qsc_code_frac_chars_digital int64	qsc_code_num_lines int64	qsc_code_frac_chars_alphabet int64	qsc_code_frac_chars_comments int64	qsc_code_frac_lines_dupe_lines int64	qsc_code_cate_autogen int64	qsc_code_frac_chars_string_length int64	qsc_code_frac_chars_long_word_length int64	qsc_code_frac_lines_string_concat null	qsc_code_frac_lines_prompt_comments int64	qsc_code_frac_lines_assert int64	qsc_codepython_cate_ast int64	qsc_codepython_frac_lines_func_ratio int64	qsc_codepython_cate_var_zero int64	qsc_codepython_frac_lines_pass int64	qsc_codepython_frac_lines_import int64	qsc_codepython_frac_lines_simplefunc int64	qsc_codepython_score_lines_no_logic int64	qsc_codepython_frac_lines_print int64	hits int64
7415e5c654a65332be95606d5f2dd9d37a5ad76a	153	py	Python	mrtopo/structures/networks/ring/ring.py	FaizChishtie/MrTopo	e6a674738d8b0a0c56edde2be0ae272ea9e62f1a	[ "MIT" ]	1	2021-01-26T11:01:32.000Z	2021-01-26T11:01:32.000Z	mrtopo/structures/networks/ring/ring.py	FaizChishtie/MrTopo	e6a674738d8b0a0c56edde2be0ae272ea9e62f1a	[ "MIT" ]	null	null	null	mrtopo/structures/networks/ring/ring.py	FaizChishtie/MrTopo	e6a674738d8b0a0c56edde2be0ae272ea9e62f1a	[ "MIT" ]	1	2020-12-23T22:01:09.000Z	2020-12-23T22:01:09.000Z	""" MrTopo Network - data structure repr Ring Topo """ from mininet.topo import Topo class RingTopo(Topo): def build(self): pass # TODO	17	50	0.653595	20	153	5	0.85	0	0	0	0	0	0	0	0	0	0	0.248366	153	9	51	17	0.869565	0.339869	0	0	0	0	0	0	0.111111	0	1	0.25	false	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	null	1	0	0	1	0	1	0	0	1	0	6
741f1a56d78060b5c2c3016e5f4813e2833b5c69	49	py	Python	wikidictparser/__init__.py	ls2716/wikidictparser_package	a1c6375bb84f2238aad09d46a753b2bde9490d85	[ "BSD-2-Clause" ]	null	null	null	wikidictparser/__init__.py	ls2716/wikidictparser_package	a1c6375bb84f2238aad09d46a753b2bde9490d85	[ "BSD-2-Clause" ]	2	2020-07-29T07:31:21.000Z	2021-03-31T19:48:02.000Z	wikidictparser/__init__.py	ls2716/wikidictparser_package	a1c6375bb84f2238aad09d46a753b2bde9490d85	[ "BSD-2-Clause" ]	null	null	null	from .router import get_parser, set_logging_level	49	49	0.877551	8	49	5	1	0	0	0	0	0	0	0	0	0	0	0.081633	49	1	49	49	0.888889	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	null	0	0	0	0	1	0	1	0	1	0	6
742f62c228db29ee09187d4fa834d870a7dd3cf0	193	py	Python	server/users/admin.py	FranciscoJavierMartin/iCard	13193a26aec4fc57351be522ebd68018cb79f927	[ "MIT" ]	null	null	null	server/users/admin.py	FranciscoJavierMartin/iCard	13193a26aec4fc57351be522ebd68018cb79f927	[ "MIT" ]	null	null	null	server/users/admin.py	FranciscoJavierMartin/iCard	13193a26aec4fc57351be522ebd68018cb79f927	[ "MIT" ]	null	null	null	from django.contrib import admin from django.contrib.auth.admin import UserAdmin as BaseUserAdmin from users.models import User @admin.register(User) class UserAdmin(BaseUserAdmin): pass	21.444444	64	0.813472	26	193	6.038462	0.576923	0.127389	0.216561	0	0	0	0	0	0	0	0	0.124352	193	8	65	24.125	0.928994	0	0	0	0	0	0	0	0	0	1	0	true	0.166667	0.5	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	null	0	0	0	0	1	1	1	0	0	0	6
747dcc5ba7e00991d583d3b8c503f5042fab0fb3	10,121	py	Python	api/resources_portal/test/views/test_attachment.py	AlexsLemonade/resources-portal	d91c6c8d6135461faccbc78ef2b0be3f9b358f21	[ "BSD-3-Clause" ]	null	null	null	api/resources_portal/test/views/test_attachment.py	AlexsLemonade/resources-portal	d91c6c8d6135461faccbc78ef2b0be3f9b358f21	[ "BSD-3-Clause" ]	536	2019-11-13T15:49:03.000Z	2022-03-28T20:17:24.000Z	api/resources_portal/test/views/test_attachment.py	AlexsLemonade/resources-portal	d91c6c8d6135461faccbc78ef2b0be3f9b358f21	[ "BSD-3-Clause" ]	1	2020-04-03T02:07:29.000Z	2020-04-03T02:07:29.000Z	import os import shutil from django.forms.models import model_to_dict from django.urls import reverse from rest_framework import status from rest_framework.test import APITestCase from faker import Faker from resources_portal.models import Attachment from resources_portal.test.factories import AttachmentFactory, Use...	35.890071	88	0.719	1,262	10,121	5.481775	0.106973	0.067939	0.059844	0.096415	0.832466	0.780717	0.776525	0.770888	0.764527	0.755854	0.009198	0.183579	10,121	281	89	36.017794	0.828029	0.010374	0.662983	0	0	0.048245	0.01003	0	0	0.160221	1	0.138122	false	0	0.055249	0	0.209945	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
77cdc1ab145b10d7e6d7eb445132fbd57740370c	22	py	Python	elliot/recommender/graph_based/ngcf/__init__.py	gategill/elliot	113763ba6d595976e14ead2e3d460d9705cd882e	[ "Apache-2.0" ]	175	2021-03-04T15:46:25.000Z	2022-03-31T05:56:58.000Z	elliot/recommender/graph_based/ngcf/__init__.py	gategill/elliot	113763ba6d595976e14ead2e3d460d9705cd882e	[ "Apache-2.0" ]	15	2021-03-06T17:53:56.000Z	2022-03-24T17:02:07.000Z	elliot/recommender/graph_based/ngcf/__init__.py	gategill/elliot	113763ba6d595976e14ead2e3d460d9705cd882e	[ "Apache-2.0" ]	39	2021-03-04T15:46:26.000Z	2022-03-09T15:37:12.000Z	from .NGCF import NGCF	22	22	0.818182	4	22	4.5	0.75	0	0	0	0	0	0	0	0	0	0	0.136364	22	1	22	22	0.947368	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	null	0	0	0	0	1	0	1	0	1	0	6
77e4285448d1d709e7a33331b14315be11d6791b	21	py	Python	lib/python-gflags/__init__.py	MiCHiLU/google_appengine_sdk	3da9f20d7e65e26c4938d2c4054bc4f39cbc5522	[ "Apache-2.0" ]	790	2015-01-03T02:13:39.000Z	2020-05-10T19:53:57.000Z	lib/python-gflags/__init__.py	MiCHiLU/google_appengine_sdk	3da9f20d7e65e26c4938d2c4054bc4f39cbc5522	[ "Apache-2.0" ]	1,361	2015-01-08T23:09:40.000Z	2020-04-14T00:03:04.000Z	lib/python-gflags/__init__.py	MiCHiLU/google_appengine_sdk	3da9f20d7e65e26c4938d2c4054bc4f39cbc5522	[ "Apache-2.0" ]	155	2015-01-08T22:59:31.000Z	2020-04-08T08:01:53.000Z	from gflags import *	10.5	20	0.761905	3	21	5.333333	1	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	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	null	0	0	0	0	1	0	1	0	1	0	6
77f068ae759fb07aff4020cf616599837c967ca2	123	py	Python	adonai/app/models.py	Egnod/adonai	b365d81c826fd7b626c9145154ee0136ea73fac1	[ "MIT" ]	6	2020-01-20T20:02:09.000Z	2020-02-24T08:40:23.000Z	adonai/app/models.py	Egnod/adonai	b365d81c826fd7b626c9145154ee0136ea73fac1	[ "MIT" ]	null	null	null	adonai/app/models.py	Egnod/adonai	b365d81c826fd7b626c9145154ee0136ea73fac1	[ "MIT" ]	null	null	null	from ..domain.models import * from ..permission.models import * from ..project.models import * from ..user.models import *	24.6	33	0.739837	16	123	5.6875	0.4375	0.527473	0.527473	0	0	0	0	0	0	0	0	0.130081	123	4	34	30.75	0.850467	0	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	null	0	0	0	0	1	0	1	0	0	0	6
bb204f7b4d824eb681cd245206810d9706108932	29	py	Python	neurolab/optimization/sched/__init__.py	udday2014/HebbianLearning	e0d17e53e3db8ce54b8fdd901702d2d6e0633732	[ "MIT" ]	6	2020-01-08T05:36:09.000Z	2022-02-09T21:07:04.000Z	neurolab/optimization/sched/__init__.py	GabrieleLagani/HebbianPCA	2736bb3017fa30ad2c160c891d42361bc5894df5	[ "MIT" ]	null	null	null	neurolab/optimization/sched/__init__.py	GabrieleLagani/HebbianPCA	2736bb3017fa30ad2c160c891d42361bc5894df5	[ "MIT" ]	2	2022-03-04T08:28:44.000Z	2022-03-16T19:00:34.000Z	from .multistepsched import *	29	29	0.827586	3	29	8	1	0	0	0	0	0	0	0	0	0	0	0.103448	29	1	29	29	0.923077	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	null	0	0	0	0	1	0	1	0	1	0	6
bb373f7b11fded204a7f45c3455c7b54b88f1839	110	py	Python	example/task/__init__.py	crystina-z/profane	b467b0d45d37de856e02eb0afad9ff012d215a42	[ "Apache-2.0" ]	9	2020-06-05T15:12:01.000Z	2021-05-28T12:19:02.000Z	example/task/__init__.py	crystina-z/profane	b467b0d45d37de856e02eb0afad9ff012d215a42	[ "Apache-2.0" ]	7	2020-06-11T08:22:00.000Z	2022-01-28T09:32:20.000Z	example/task/__init__.py	crystina-z/profane	b467b0d45d37de856e02eb0afad9ff012d215a42	[ "Apache-2.0" ]	4	2020-06-10T23:12:16.000Z	2022-01-27T17:54:36.000Z	from profane import import_all_modules from task.base import Task import_all_modules(__file__, __package__)	18.333333	41	0.854545	16	110	5.125	0.5625	0.219512	0.390244	0	0	0	0	0	0	0	0	0.109091	110	5	42	22	0.836735	0	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	null	0	0	0	0	1	0	1	0	0	0	6
bb3c9c9ad9c8f371d6758f487fa3863724d116e9	151	py	Python	ufdl-object-detection-app/src/ufdl/object_detection_app/models/__init__.py	waikato-ufdl/ufdl-backend	776fc906c61eba6c2f2e6324758e7b8a323e30d7	[ "Apache-2.0" ]	null	null	null	ufdl-object-detection-app/src/ufdl/object_detection_app/models/__init__.py	waikato-ufdl/ufdl-backend	776fc906c61eba6c2f2e6324758e7b8a323e30d7	[ "Apache-2.0" ]	85	2020-07-24T00:04:28.000Z	2022-02-10T10:35:15.000Z	ufdl-object-detection-app/src/ufdl/object_detection_app/models/__init__.py	waikato-ufdl/ufdl-backend	776fc906c61eba6c2f2e6324758e7b8a323e30d7	[ "Apache-2.0" ]	null	null	null	from ._Annotations import Annotations, AnnotationsQuerySet from ._ObjectDetectionDataset import ObjectDetectionDataset, ObjectDetectionDatasetQuerySet	50.333333	91	0.907285	10	151	13.5	0.6	0	0	0	0	0	0	0	0	0	0	0.066225	151	2	92	75.5	0.957447	0	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	null	0	0	0	0	1	0	1	0	1	0	6
bb495e03b6eb6d14afa26c71a0e2a517ba8bab26	145	py	Python	deep_utils/callbacks/torch/__init__.py	pooya-mohammadi/deep_utils	b589d8ab0a8d63f3d3b90c3bc0d4b1b648b8be37	[ "MIT" ]	36	2021-11-10T05:17:18.000Z	2022-03-27T18:25:10.000Z	deep_utils/callbacks/torch/__init__.py	pooya-mohammadi/deep_utils	b589d8ab0a8d63f3d3b90c3bc0d4b1b648b8be37	[ "MIT" ]	1	2021-12-03T07:07:18.000Z	2022-03-08T09:29:03.000Z	deep_utils/callbacks/torch/__init__.py	pooya-mohammadi/deep_utils	b589d8ab0a8d63f3d3b90c3bc0d4b1b648b8be37	[ "MIT" ]	4	2021-11-28T07:39:57.000Z	2022-03-30T05:46:10.000Z	from .torch_model_checkpoint import ModelCheckPointTorch from .torch_csv_logger import CSVLogger from .torch_tensorboard import TensorboardTorch	36.25	56	0.896552	17	145	7.352941	0.647059	0.216	0	0	0	0	0	0	0	0	0	0.082759	145	3	57	48.333333	0.93985	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	null	0	0	0	0	1	0	1	0	1	0	6
24890704544235d21f0b7c6fca71808a78126283	99	py	Python	10430.py	BACCHUS-S/Baekjoon	05edab8ea7c7205ca67ef8fe34bf0abd22726a0e	[ "MIT" ]	null	null	null	10430.py	BACCHUS-S/Baekjoon	05edab8ea7c7205ca67ef8fe34bf0abd22726a0e	[ "MIT" ]	null	null	null	10430.py	BACCHUS-S/Baekjoon	05edab8ea7c7205ca67ef8fe34bf0abd22726a0e	[ "MIT" ]	null	null	null	a,b,c=map(int,input().split()) print((a+b)%c) print((a%c+b%c)%c) print((ab)%c) print((a%cb%c)%c)	16.5	30	0.555556	27	99	2.037037	0.296296	0.181818	0.163636	0.290909	0.654545	0.654545	0.654545	0.654545	0.654545	0.654545	0	0.050505	99	5	31	19.8	0.585106	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0.8	1	0	0	null	0	0	1	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	6
24a2301cc8e8f414aad472db39d81ed26c18ba2e	2,331	py	Python	tests/test_argparse.py	andreasgrv/mlconf	a1f2056cffb458ce3b845c5e4aab1a3a9e58a0c4	[ "BSD-3-Clause" ]	2	2019-08-29T12:59:28.000Z	2020-05-01T11:11:08.000Z	tests/test_argparse.py	andreasgrv/mlconf	a1f2056cffb458ce3b845c5e4aab1a3a9e58a0c4	[ "BSD-3-Clause" ]	null	null	null	tests/test_argparse.py	andreasgrv/mlconf	a1f2056cffb458ce3b845c5e4aab1a3a9e58a0c4	[ "BSD-3-Clause" ]	null	null	null	import mlconf import pytest def test_yaml_loader(): parser = mlconf.ArgumentParser() parser.add_argument('--value') parser.add_argument('--load_blueprint', action=mlconf.YAMLLoaderAction) bp = parser.parse_args(['--value', '5', '--load_blueprint', 't...	37	78	0.582154	254	2,331	5.177165	0.188976	0.068441	0.129278	0.064639	0.871483	0.796198	0.796198	0.796198	0.754373	0.748289	0.011079	0.264264	2,331	62	79	37.596774	0.755685	0	0.615385	0	0	0.183612	0.049335	0	0	0.192308	1	0.096154	false	0	0.038462	0	0.134615	0.192308	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
24bd2e20c7bbad0be548b73aee51a4ec82030d0d	20	py	Python	xambda/s3_layer/__init__.py	xyla-io/lambda_io	a6e04a68a241880e573aa14f41dd19bfec37d73c	[ "MIT" ]	null	null	null	xambda/s3_layer/__init__.py	xyla-io/lambda_io	a6e04a68a241880e573aa14f41dd19bfec37d73c	[ "MIT" ]	null	null	null	xambda/s3_layer/__init__.py	xyla-io/lambda_io	a6e04a68a241880e573aa14f41dd19bfec37d73c	[ "MIT" ]	null	null	null	from .base import S3	20	20	0.8	4	20	4	1	0	0	0	0	0	0	0	0	0	0.058824	0.15	20	1	20	20	0.882353	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	null	0	0	0	0	1	0	1	0	1	0	6
24ffde71409b719a80f121047beab73ccaf38677	1,609	py	Python	Code/tests/test_distances.py	robin-p-schmitt/conformance-checking	021e042bb026ef44f0d53d02f8cf8e1675066674	[ "MIT" ]	null	null	null	Code/tests/test_distances.py	robin-p-schmitt/conformance-checking	021e042bb026ef44f0d53d02f8cf8e1675066674	[ "MIT" ]	null	null	null	Code/tests/test_distances.py	robin-p-schmitt/conformance-checking	021e042bb026ef44f0d53d02f8cf8e1675066674	[ "MIT" ]	null	null	null	import pytest import numpy as np from conformance_checking.distances import calc_wmd, calc_ict, calc_euclidean, _calc_d def test_wmd(): """Is the wmd calculated correctly?""" model_embedding = [{0: 1, 1: 1}] real_embedding = [{1: 1}] context = np.array([[1, 4], [5, 1]]) # calculate Euclidean dis...	28.732143	86	0.676818	235	1,609	4.353191	0.174468	0.048876	0.099707	0.096774	0.869013	0.869013	0.869013	0.869013	0.840665	0.790811	0.034082	0.197638	1,609	55	87	29.254545	0.758327	0.169671	0.633333	0	0	0	0	0	0	0.1	1	0.1	false	0	0.1	0	0.2	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
7029bec83423f275a443507bf4642cc66fa94866	26	py	Python	plugins/figure-ref/__init__.py	mohnjahoney/website_source	edc86a869b90ae604f32e736d9d5ecd918088e6a	[ "MIT" ]	13	2020-01-27T09:02:25.000Z	2022-01-20T07:45:26.000Z	plugins/figure-ref/__init__.py	mohnjahoney/website_source	edc86a869b90ae604f32e736d9d5ecd918088e6a	[ "MIT" ]	29	2020-03-22T06:57:57.000Z	2022-01-24T22:46:42.000Z	plugins/figure-ref/__init__.py	mohnjahoney/website_source	edc86a869b90ae604f32e736d9d5ecd918088e6a	[ "MIT" ]	6	2020-07-10T00:13:30.000Z	2022-01-26T08:22:33.000Z	from .figure_ref import *	13	25	0.769231	4	26	4.75	1	0	0	0	0	0	0	0	0	0	0	0.153846	26	1	26	26	0.863636	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	null	0	0	0	0	1	0	1	0	1	0	6
708849058298473d2416788c38f8945810b63470	14,345	py	Python	leaqi/main.py	xkianteb/leaqi	924435590e74421ed16488429056f26747c99421	[ "MIT" ]	12	2020-05-25T16:50:05.000Z	2022-02-20T08:00:04.000Z	leaqi/main.py	chenyangh/leaqi	924435590e74421ed16488429056f26747c99421	[ "MIT" ]	null	null	null	leaqi/main.py	chenyangh/leaqi	924435590e74421ed16488429056f26747c99421	[ "MIT" ]	4	2020-05-28T18:25:01.000Z	2021-02-25T10:29:41.000Z	import pandas as pd from sklearn.metrics import accuracy_score from sklearn.metrics import confusion_matrix import gym from timeit import default_timer as timer from datetime import timedelta import torch import argparse import numpy as np import time from leaqi.src.util import TrainLog from leaqi.src.args import wso_a...	46.423948	108	0.516556	1,536	14,345	4.641927	0.120443	0.064797	0.070687	0.035764	0.863254	0.862693	0.81122	0.799018	0.780645	0.762132	0.0065	0.335099	14,345	308	109	46.574675	0.741036	0.394563	0.314815	0	0	0.289855	0.15907	0	0.003247	0	1	0.006173	false	0	0.111111	0	0.117284	0.024691	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
7097bc18f138003821f52e7d2b2de360a0c3ae3c	1,364	py	Python	usaspending_api/reporting/migrations/0004_auto_20210202_2234.py	ststuck/usaspending-api	b13bd5bcba0369ff8512f61a34745626c3969391	[ "CC0-1.0" ]	217	2016-11-03T17:09:53.000Z	2022-03-10T04:17:54.000Z	usaspending_api/reporting/migrations/0004_auto_20210202_2234.py	ststuck/usaspending-api	b13bd5bcba0369ff8512f61a34745626c3969391	[ "CC0-1.0" ]	622	2016-09-02T19:18:23.000Z	2022-03-29T17:11:01.000Z	usaspending_api/reporting/migrations/0004_auto_20210202_2234.py	ststuck/usaspending-api	b13bd5bcba0369ff8512f61a34745626c3969391	[ "CC0-1.0" ]	93	2016-09-07T20:28:57.000Z	2022-02-25T00:25:27.000Z	# Generated by Django 2.2.9 on 2021-02-02 22:34 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('reporting', '0003_auto_20201204_1531'), ] operations = [ migrations.AddField( model_name='reportingagencyoverview', ...	31	49	0.611437	117	1,364	6.91453	0.333333	0.133498	0.170581	0.200247	0.786156	0.786156	0.74042	0.74042	0.636588	0.636588	0.038223	0.290323	1,364	43	50	31.72093	0.797521	0.032991	0.648649	1	0	0.252847	0.246014	0	0	0	1	0	false	0	0.027027	0	0.108108	0	0	0	0	null	0	0	1	0	1	1	1	0	1	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	6
563e283aff1f5c5f2d6b52b068e34fa3fa492fd5	276	py	Python	python/robot-name/robot_name.py	Victor-Chinewubeze/algorithms-exercism	34669348762eef69b68a2f43260ab10ac1c4eb2a	[ "MIT" ]	1	2020-04-16T23:06:33.000Z	2020-04-16T23:06:33.000Z	python/robot-name/robot_name.py	Victor-Chinewubeze/algorithms-exercism	34669348762eef69b68a2f43260ab10ac1c4eb2a	[ "MIT" ]	7	2021-05-08T11:46:15.000Z	2021-05-10T19:31:11.000Z	python/robot-name/robot_name.py	Victor-Chinewubeze/algorithms-exercism	34669348762eef69b68a2f43260ab10ac1c4eb2a	[ "MIT" ]	1	2020-01-09T16:33:39.000Z	2020-01-09T16:33:39.000Z	import random def rnd(seed=""): return chr(random.randint(65,90)) + chr(random.randint(65,90)) + str(random.randint(100,999)) class Robot(object): def __init__(self): self.name = rnd() def reset(self): self.name = rnd(chr(random.randint(65,90)))	25.090909	97	0.634058	41	276	4.170732	0.487805	0.304094	0.280702	0.315789	0.350877	0	0	0	0	0	0.080357	0.188406	276	11	98	25.090909	0.683036	0	0	0	0	0	0	0	0	0	1	0.375	false	0	0.125	0.125	0.75	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	6
3b1f13044204afaafd0e6efc5c0ef6766a68ea0e	155	py	Python	pyvault/db/__init__.py	MattCCS/PyVault	c0e87a1bf731e0c7c800a599b0b33885e484b92b	[ "MIT" ]	null	null	null	pyvault/db/__init__.py	MattCCS/PyVault	c0e87a1bf731e0c7c800a599b0b33885e484b92b	[ "MIT" ]	null	null	null	pyvault/db/__init__.py	MattCCS/PyVault	c0e87a1bf731e0c7c800a599b0b33885e484b92b	[ "MIT" ]	null	null	null	""" """ from pyvault.db.table import TABLE from pyvault.db.key_manager import KEYMAN from pyvault.db.pwm import PWM __all__ = ['PWM', 'KEYMAN', 'TABLE']	17.222222	41	0.716129	23	155	4.608696	0.434783	0.311321	0.367925	0	0	0	0	0	0	0	0	0.135484	155	8	42	19.375	0.791045	0	0	0	0	0.094595	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	6
3b73c8fdf191a3dbb3944d82aff9c0a66783b2da	19	py	Python	voice_similarity/lib/LPC/__init__.py	itanium-R/rcc_winter_hackathon_2020	cecd43d8b89d2d656e3b11ca5bdfb35965451d37	[ "MIT" ]	null	null	null	voice_similarity/lib/LPC/__init__.py	itanium-R/rcc_winter_hackathon_2020	cecd43d8b89d2d656e3b11ca5bdfb35965451d37	[ "MIT" ]	null	null	null	voice_similarity/lib/LPC/__init__.py	itanium-R/rcc_winter_hackathon_2020	cecd43d8b89d2d656e3b11ca5bdfb35965451d37	[ "MIT" ]	null	null	null	from .lpc import *	9.5	18	0.684211	3	19	4.333333	1	0	0	0	0	0	0	0	0	0	0	0.210526	19	1	19	19	0.866667	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	null	0	0	0	0	1	0	1	0	1	0	6
3b8168149c9ce5d91cd1377644dfd606fe93e353	158	py	Python	sesion_02/movies/admin.py	bernest/modulo-django-desarrollo-web-cdmx-20-05pt	33f971f032f7d3902a49a993d46e3ecefb21d59b	[ "MIT" ]	null	null	null	sesion_02/movies/admin.py	bernest/modulo-django-desarrollo-web-cdmx-20-05pt	33f971f032f7d3902a49a993d46e3ecefb21d59b	[ "MIT" ]	null	null	null	sesion_02/movies/admin.py	bernest/modulo-django-desarrollo-web-cdmx-20-05pt	33f971f032f7d3902a49a993d46e3ecefb21d59b	[ "MIT" ]	null	null	null	"""Movies app admin site""" from django.contrib import admin from .models import Movie, Director admin.site.register(Movie) admin.site.register(Director)	15.8	35	0.772152	22	158	5.545455	0.545455	0.221311	0.278689	0	0	0	0	0	0	0	0	0.120253	158	9	36	17.555556	0.877698	0.132911	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
8e6efd4d43d8d1fc921e1fe662bb48d5e06d653b	93	py	Python	model/dialogue/__init__.py	NickSchoelkopf/SummerTime	9a89aab8e1544e3c52c043b9c47ab325e665e11e	[ "Apache-2.0" ]	178	2021-07-07T23:46:20.000Z	2022-03-26T17:47:21.000Z	model/dialogue/__init__.py	NickSchoelkopf/SummerTime	9a89aab8e1544e3c52c043b9c47ab325e665e11e	[ "Apache-2.0" ]	77	2021-06-18T21:44:53.000Z	2022-02-20T00:23:06.000Z	model/dialogue/__init__.py	NickSchoelkopf/SummerTime	9a89aab8e1544e3c52c043b9c47ab325e665e11e	[ "Apache-2.0" ]	19	2021-06-18T22:24:47.000Z	2022-03-16T12:53:50.000Z	from .hmnet_model import HMNetModel from .flatten_dialogue_model import FlattenDialogueModel	31	56	0.892473	11	93	7.272727	0.727273	0.275	0	0	0	0	0	0	0	0	0	0.086022	93	2	57	46.5	0.941176	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	null	0	0	0	0	1	0	1	0	1	0	6
8eafc05f177ce84e7d2aaa4c1cfbcc53a0ccf29d	436	py	Python	homeworks/kirill_shevchuk/hw05/test_lvl3.py	tgrx/Z22	b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff	[ "Apache-2.0" ]	null	null	null	homeworks/kirill_shevchuk/hw05/test_lvl3.py	tgrx/Z22	b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff	[ "Apache-2.0" ]	8	2019-11-15T18:15:56.000Z	2020-02-03T18:05:05.000Z	homeworks/kirill_shevchuk/hw05/test_lvl3.py	tgrx/Z22	b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff	[ "Apache-2.0" ]	null	null	null	from homeworks.kirill_shevchuk.hw05.level03 import good_phone def test_good_phone(): assert good_phone("+375172294660") assert good_phone("+375296648778") assert not good_phone("") assert not good_phone("+37517229466") assert not good_phone("+37517229466a") assert not good_phone("+791562655123...	31.142857	61	0.736239	55	436	5.6	0.381818	0.321429	0.295455	0.409091	0	0	0	0	0	0	0.223433	0.158257	436	13	62	33.538462	0.615804	0	0	0	0	0.194954	0	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	null	0	1	0	0	1	0	0	0	0	0	6
8ebfcb01a0a7976ed37f77b03e151e6820c5bfb1	5,574	py	Python	Python/pygame/dijkstra.py	flmnv/Training	6070b8ddfb6e01c0f433c813265bf50d59a26ef4	[ "Unlicense" ]	null	null	null	Python/pygame/dijkstra.py	flmnv/Training	6070b8ddfb6e01c0f433c813265bf50d59a26ef4	[ "Unlicense" ]	null	null	null	Python/pygame/dijkstra.py	flmnv/Training	6070b8ddfb6e01c0f433c813265bf50d59a26ef4	[ "Unlicense" ]	null	null	null	from random import randint from math import inf class Vertex: def __init__(self, num, sizeX, sizeY, value = inf): self.isChecked = False self.value = value self.num = num self.n = [] for i in range(sizeX): temp = [] for j in range(sizeY): temp.append(inf) self.n.append(temp) i = num // sizeY ...	40.100719	120	0.523143	1,129	5,574	2.579274	0.043401	0.166552	0.121566	0.052198	0.81353	0.805632	0.768887	0.761332	0.739354	0.739354	0.060556	0.238608	5,574	139	121	40.100719	0.625589	0	0.333333	0	0	0	0	0	0	0	1	0.045455	false	0	0.015152	0	0.090909	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
8ec065068a50a121692453a485b19d7ff6b8b458	182	py	Python	tests/test_mac_screencapture.py	jonringer/pyscreenshot	44cefded198b26fd162ab12c9e947704ec9dced0	[ "BSD-2-Clause" ]	416	2015-01-01T00:41:31.000Z	2022-03-31T10:15:53.000Z	tests/test_mac_screencapture.py	jonringer/pyscreenshot	44cefded198b26fd162ab12c9e947704ec9dced0	[ "BSD-2-Clause" ]	72	2015-02-23T20:12:17.000Z	2022-03-02T21:23:17.000Z	tests/test_mac_screencapture.py	jonringer/pyscreenshot	44cefded198b26fd162ab12c9e947704ec9dced0	[ "BSD-2-Clause" ]	88	2015-03-04T03:29:43.000Z	2021-10-04T06:37:00.000Z	from bt import backend_to_check from pyscreenshot.util import platform_is_osx if platform_is_osx(): def test_mac_screencapture(): backend_to_check("mac_screencapture")	22.75	45	0.791209	26	182	5.115385	0.615385	0.135338	0.210526	0	0	0	0	0	0	0	0	0.148352	182	7	46	26	0.858065	0	0	0	0	0.093407	0	0	0	0	1	0.2	true	0	0.4	0	0.6	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
d9140dc93ea732c8c7456e1c9d2605d4e92f2106	30	py	Python	kornia/tracking/__init__.py	mfkiwl/kornia	df591b3b440de84c197f7e2ef91e1d3880e35ce1	[ "ECL-2.0", "Apache-2.0" ]	null	null	null	kornia/tracking/__init__.py	mfkiwl/kornia	df591b3b440de84c197f7e2ef91e1d3880e35ce1	[ "ECL-2.0", "Apache-2.0" ]	9	2021-12-12T09:15:33.000Z	2022-03-20T09:12:00.000Z	kornia/tracking/__init__.py	mfkiwl/kornia	df591b3b440de84c197f7e2ef91e1d3880e35ce1	[ "ECL-2.0", "Apache-2.0" ]	null	null	null	from .planar_tracker import *	15	29	0.8	4	30	5.75	1	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.884615	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	null	0	0	0	0	1	0	1	0	1	0	6
d9157cc197b84dec7d5282f1597f3dca44e779b1	106	py	Python	teerace/lib/context_processors.py	chaosk/teerace	16110c739eb12009d8e70fb3c3bfe8ed87112cfa	[ "BSD-3-Clause" ]	3	2016-06-10T03:45:19.000Z	2018-09-27T15:32:17.000Z	teerace/lib/context_processors.py	teerace/web	16110c739eb12009d8e70fb3c3bfe8ed87112cfa	[ "BSD-3-Clause" ]	26	2018-12-31T12:54:27.000Z	2019-04-08T02:34:44.000Z	teerace/lib/context_processors.py	teerace/web	16110c739eb12009d8e70fb3c3bfe8ed87112cfa	[ "BSD-3-Clause" ]	3	2017-01-08T14:59:18.000Z	2018-11-21T14:59:03.000Z	from django.conf import settings as _settings def settings(request): return {"settings": _settings}	17.666667	45	0.754717	13	106	6	0.692308	0	0	0	0	0	0	0	0	0	0	0.160377	106	5	46	21.2	0.876404	0	0	0	0	0.075472	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	null	0	0	0	1	0	0	1	1	1	0	6
d930d0cdd96f173459e9ffe25b58043a0210b8cb	12,597	py	Python	tests/tests_request_creators/tests_hitbtc/test_market_data.py	astsu-dev/exapi	1ef39ccdd77e9ddb60ec6eaa16a2cc26e1ac3e12	[ "MIT" ]	null	null	null	tests/tests_request_creators/tests_hitbtc/test_market_data.py	astsu-dev/exapi	1ef39ccdd77e9ddb60ec6eaa16a2cc26e1ac3e12	[ "MIT" ]	null	null	null	tests/tests_request_creators/tests_hitbtc/test_market_data.py	astsu-dev/exapi	1ef39ccdd77e9ddb60ec6eaa16a2cc26e1ac3e12	[ "MIT" ]	null	null	null	import pytest from yarl import URL from exapi.request_creators.hitbtc.market_data import \ HitbtcMarketDataRequestCreator from exapi.request_creators.request import Request @pytest.fixture(scope="module") def creator() -> HitbtcMarketDataRequestCreator: return HitbtcMarketDataRequestCreator() def test_crea...	43.588235	96	0.631579	1,468	12,597	5.241826	0.042916	0.069396	0.122807	0.140351	0.955686	0.94243	0.934503	0.904873	0.904873	0.88538	0.028551	0.204811	12,597	288	97	43.739583	0.739643	0	0.618421	0	0	0.169723	0	0	0	0.197368	1	0.057018	false	0	0.017544	0.004386	0.078947	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
797a0690301e70f01de0f5f46a51ddaa5f77a0da	37	py	Python	ModellingArch/__init__.py	MikaZeilstra/ModellingArch	71a8948f0e8feb086b291fa12d53a0a0adf50c3d	[ "MIT" ]	null	null	null	ModellingArch/__init__.py	MikaZeilstra/ModellingArch	71a8948f0e8feb086b291fa12d53a0a0adf50c3d	[ "MIT" ]	null	null	null	ModellingArch/__init__.py	MikaZeilstra/ModellingArch	71a8948f0e8feb086b291fa12d53a0a0adf50c3d	[ "MIT" ]	null	null	null	from ModellingArch.Model import Model	37	37	0.891892	5	37	6.6	0.8	0	0	0	0	0	0	0	0	0	0	0.081081	37	1	37	37	0.970588	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	null	0	0	0	0	1	0	1	0	1	0	6
79ac20c94910683e931d38b82bfe2bcb6d880eb1	35	py	Python	ipynb/junix/__init__.py	tanyajainC137/flask-dashboard	88b908224ad6d748620a32debc0c9a662fd9e529	[ "MIT" ]	null	null	null	ipynb/junix/__init__.py	tanyajainC137/flask-dashboard	88b908224ad6d748620a32debc0c9a662fd9e529	[ "MIT" ]	null	null	null	ipynb/junix/__init__.py	tanyajainC137/flask-dashboard	88b908224ad6d748620a32debc0c9a662fd9e529	[ "MIT" ]	null	null	null	from .exporter import export_images	35	35	0.885714	5	35	6	1	0	0	0	0	0	0	0	0	0	0	0.085714	35	1	35	35	0.9375	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	null	0	0	0	0	1	0	1	0	1	0	6
8dff63840f16ab4199fd65d02aac2e5122ca9a0c	93	py	Python	test/test_metaL.py	ponyatov/metaLpy	96149313e8083536ade1c331825242f6996f05b3	[ "MIT" ]	null	null	null	test/test_metaL.py	ponyatov/metaLpy	96149313e8083536ade1c331825242f6996f05b3	[ "MIT" ]	null	null	null	test/test_metaL.py	ponyatov/metaLpy	96149313e8083536ade1c331825242f6996f05b3	[ "MIT" ]	null	null	null	## @file import pytest ## alwais `true` ## @ingroup test def test_empty(): assert True	10.333333	17	0.645161	12	93	4.916667	0.833333	0	0	0	0	0	0	0	0	0	0	0.215054	93	8	18	11.625	0.808219	0.354839	0	0	0	0	0	0	0	0.333333	1	0.333333	true	0	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	null	0	0	0	1	1	0	1	0	1	0	6
5c0a13a071297a64f17b775a20ba5d0313ab5bc7	74	py	Python	statsmodels/nonparametric/api.py	escheffel/statsmodels	bc70147c4c7ea00b6ac7256bbaf107902983c189	[ "BSD-3-Clause" ]	2	2017-01-05T22:44:37.000Z	2018-04-26T08:34:00.000Z	statsmodels/nonparametric/api.py	langmore/statsmodels	a29d0418436a9b38b11101f7741ce6cb35b9e2cd	[ "BSD-3-Clause" ]	null	null	null	statsmodels/nonparametric/api.py	langmore/statsmodels	a29d0418436a9b38b11101f7741ce6cb35b9e2cd	[ "BSD-3-Clause" ]	null	null	null	from kde import KDE from smoothers_lowess import lowess import bandwidths	18.5	35	0.864865	11	74	5.727273	0.545455	0.380952	0	0	0	0	0	0	0	0	0	0.135135	74	3	36	24.666667	0.984375	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	null	0	0	0	0	1	0	1	0	1	0	6
3089e2ece5579c4322c016b82e31d603866ad2b8	140	py	Python	conf/gunicorn_config.py	LASI-UFPI/back-end-datafriends	098b89486f98fabeba206703d32e969fc7992721	[ "MIT" ]	2	2021-05-24T14:44:47.000Z	2022-02-27T20:28:37.000Z	conf/gunicorn_config.py	LASI-UFPI/back-end-datafriends	098b89486f98fabeba206703d32e969fc7992721	[ "MIT" ]	2	2022-02-13T13:13:50.000Z	2022-03-04T23:41:53.000Z	conf/gunicorn_config.py	LASI-UFPI/back-end-datafriends	098b89486f98fabeba206703d32e969fc7992721	[ "MIT" ]	1	2021-05-24T14:44:50.000Z	2021-05-24T14:44:50.000Z	command = '/opt/lasi/back-end-datafriends/venv/bin/gunicorn' pythonpath = '/opt/lasi/back-end-datafriends' bind = '0.0.0.0:8000' workers = 3	35	60	0.728571	23	140	4.434783	0.652174	0.058824	0.215686	0.27451	0.490196	0	0	0	0	0	0.069767	0.078571	140	4	61	35	0.72093	0	0	0	0	0.638298	0.553191	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	6
a518454b0e28ed5cb26c931568df41dede18afde	160	py	Python	funcs/__init__.py	farkon00/binarian	8ebe6247a8a4f709861432fc9d057b8aaeee2117	[ "MIT" ]	2	2022-02-23T21:24:47.000Z	2022-03-25T08:18:16.000Z	funcs/__init__.py	farkon00/binarian	8ebe6247a8a4f709861432fc9d057b8aaeee2117	[ "MIT" ]	null	null	null	funcs/__init__.py	farkon00/binarian	8ebe6247a8a4f709861432fc9d057b8aaeee2117	[ "MIT" ]	null	null	null	import sys sys.path.append(".") from binarian import * from . import exceptions from . import utils from . import code_preparer from . import brackets_parser	17.777778	29	0.76875	22	160	5.5	0.545455	0.330579	0	0	0	0	0	0	0	0	0	0.15625	160	9	29	17.777778	0.896296	0	0	0	0	0.006211	0	0	0	0	1	0	true	0	0.857143	0	0.857143	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
ebb92a644a0630b391f188a72d14906aa93018ce	35	py	Python	dkconfig/__init__.py	datakortet/dkconfig	9496bce00741f7c8839b6f86cb74388268bdbeb6	[ "MIT" ]	null	null	null	dkconfig/__init__.py	datakortet/dkconfig	9496bce00741f7c8839b6f86cb74388268bdbeb6	[ "MIT" ]	null	null	null	dkconfig/__init__.py	datakortet/dkconfig	9496bce00741f7c8839b6f86cb74388268bdbeb6	[ "MIT" ]	null	null	null	from .dkconfig import parser, main	17.5	34	0.8	5	35	5.6	1	0	0	0	0	0	0	0	0	0	0	0.142857	35	1	35	35	0.933333	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	null	0	0	0	0	1	0	1	0	1	0	6
ebc2b67804ab93b1fd58143725dcb389078c66ad	203	py	Python	factorial.py	rajat1401/Python-Thunder	76fcbc659070cfd92eeae4a68e485fe406949f16	[ "MIT" ]	null	null	null	factorial.py	rajat1401/Python-Thunder	76fcbc659070cfd92eeae4a68e485fe406949f16	[ "MIT" ]	null	null	null	factorial.py	rajat1401/Python-Thunder	76fcbc659070cfd92eeae4a68e485fe406949f16	[ "MIT" ]	null	null	null	''' Probem Task : This program will compute the factorial of a number Problem Link : https://edabit.com/challenge/PNbsQzmDR3CJ9JHkB ''' import math def factorial(n): return math.factorial(n)	25.375	69	0.724138	27	203	5.444444	0.851852	0.136054	0	0	0	0	0	0	0	0	0.011976	0.17734	203	8	70	25.375	0.868263	0.625616	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	null	0	0	0	1	0	0	1	1	1	0	6
ccfd2febc56f42c375d3c307e4741721583dc898	133	py	Python	causal_world/evaluation/__init__.py	michaelfeil/CausalWorld	ff866159ef0ee9c407893ae204e93eb98dd68be2	[ "MIT" ]	2	2021-09-22T08:20:12.000Z	2021-11-16T14:20:45.000Z	causal_world/evaluation/__init__.py	michaelfeil/CausalWorld	ff866159ef0ee9c407893ae204e93eb98dd68be2	[ "MIT" ]	null	null	null	causal_world/evaluation/__init__.py	michaelfeil/CausalWorld	ff866159ef0ee9c407893ae204e93eb98dd68be2	[ "MIT" ]	null	null	null	from causal_world.evaluation.protocols.protocol import ProtocolBase from causal_world.evaluation.evaluation import EvaluationPipeline	66.5	67	0.909774	15	133	7.933333	0.6	0.168067	0.252101	0.420168	0	0	0	0	0	0	0	0.052632	133	2	68	66.5	0.944444	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
6942e417feb92b40005352a886f8f521e5b4b86a	41	py	Python	iopipe/contrib/logger/__init__.py	skeptycal/iopipe-python	f6afba36663751779cba55ce53c0e1f2042df0d7	[ "Apache-2.0" ]	74	2016-08-18T14:26:50.000Z	2021-11-21T10:58:32.000Z	iopipe/contrib/logger/__init__.py	vemel/iopipe-python	46c277f9447ddb00e544437ceaa7ba263a759c1d	[ "Apache-2.0" ]	198	2016-08-18T18:52:43.000Z	2021-05-09T10:01:14.000Z	iopipe/contrib/logger/__init__.py	vemel/iopipe-python	46c277f9447ddb00e544437ceaa7ba263a759c1d	[ "Apache-2.0" ]	23	2016-08-04T23:22:21.000Z	2020-01-20T13:54:27.000Z	from .plugin import LoggerPlugin # noqa	20.5	40	0.780488	5	41	6.4	1	0	0	0	0	0	0	0	0	0	0	0.170732	41	1	41	41	0.941176	0.097561	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	null	0	0	0	0	1	0	1	0	1	0	6
696d4174b7c92ef33969c7268439dd502c3d2b87	149	py	Python	cloudshell/firewall/paloalto/panos/flows/panos_state_flow.py	QualiSystems/cloudshell-firewall-panos	807f296b6960a6dc8fdc37ac332dcb72e3caa8e2	[ "Apache-2.0" ]	null	null	null	cloudshell/firewall/paloalto/panos/flows/panos_state_flow.py	QualiSystems/cloudshell-firewall-panos	807f296b6960a6dc8fdc37ac332dcb72e3caa8e2	[ "Apache-2.0" ]	1	2021-03-16T18:24:24.000Z	2021-03-16T18:24:24.000Z	cloudshell/firewall/paloalto/panos/flows/panos_state_flow.py	QualiSystems/cloudshell-firewall-panos	807f296b6960a6dc8fdc37ac332dcb72e3caa8e2	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/python # -- coding: utf-8 -- from cloudshell.shell.flows.state.basic_flow import StateFlow class PanOSStateFlow(StateFlow): pass	16.555556	61	0.724832	19	149	5.631579	0.947368	0	0	0	0	0	0	0	0	0	0.007752	0.134228	149	8	62	18.625	0.821705	0.255034	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	null	0	0	0	0	1	1	1	0	1	0	6
15c19b8b5ebc775bff2820c24048fe259a916c3c	51	py	Python	Models/__init__.py	AndresJejen/DashBoardTrocafoneDS4A	c58675192688a737972ce984ecf22d681246b7bc	[ "MIT" ]	1	2020-05-24T00:28:38.000Z	2020-05-24T00:28:38.000Z	Models/__init__.py	AndresJejen/DashBoardTrocafoneDS4A	c58675192688a737972ce984ecf22d681246b7bc	[ "MIT" ]	null	null	null	Models/__init__.py	AndresJejen/DashBoardTrocafoneDS4A	c58675192688a737972ce984ecf22d681246b7bc	[ "MIT" ]	1	2020-05-24T01:27:01.000Z	2020-05-24T01:27:01.000Z	from .LinearRegression import LinearRegressionModel	51	51	0.921569	4	51	11.75	1	0	0	0	0	0	0	0	0	0	0	0.058824	51	1	51	51	0.979167	0	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	null	0	0	0	0	1	0	1	0	1	0	6
15cd0ac59d86abb5fb51f3179e342f2b6f23a1c3	195	py	Python	zfit/dimension.py	donalrinho/zfit	9769ef7d56a6be9a5d438e47b80ea5a8f772bc24	[ "BSD-3-Clause" ]	null	null	null	zfit/dimension.py	donalrinho/zfit	9769ef7d56a6be9a5d438e47b80ea5a8f772bc24	[ "BSD-3-Clause" ]	null	null	null	zfit/dimension.py	donalrinho/zfit	9769ef7d56a6be9a5d438e47b80ea5a8f772bc24	[ "BSD-3-Clause" ]	null	null	null	# Copyright (c) 2020 zfit from .core.space import Space, combine_spaces, add_spaces from .core.coordinates import Coordinates __all__ = ['Space', 'combine_spaces', 'add_spaces', 'Coordinates']	32.5	66	0.764103	25	195	5.64	0.52	0.113475	0.255319	0.297872	0.382979	0	0	0	0	0	0.023256	0.117949	195	5	67	39	0.796512	0.117949	0	0	0	0.236686	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	6
15de8961477fb58e446d86db6049c318d521c6de	165	py	Python	pyfi/__init__.py	rlinguri/pyfi	08cccda7eab1119a2a82d265a015c95ba9bf4431	[ "MIT" ]	null	null	null	pyfi/__init__.py	rlinguri/pyfi	08cccda7eab1119a2a82d265a015c95ba9bf4431	[ "MIT" ]	null	null	null	pyfi/__init__.py	rlinguri/pyfi	08cccda7eab1119a2a82d265a015c95ba9bf4431	[ "MIT" ]	1	2019-01-12T17:02:01.000Z	2019-01-12T17:02:01.000Z	#!/usr/bin/env python from pyfi.entity import * from pyfi.calendar import * from pyfi.yhapi import * __all__ = ['Entity', 'Calendar', 'Session', 'Tick', 'Result']	20.625	61	0.690909	22	165	5	0.636364	0.218182	0.254545	0	0	0	0	0	0	0	0	0.139394	165	7	62	23.571429	0.774648	0.121212	0	0	0	0.215278	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	6
c60b8918d4a54f76df084f23c8d4f9a2c0f51e55	36	py	Python	tests/test_general.py	Cloud-Atlas-BR/CloudAtlas	53b2b7859047fd8c98b548afdec9788334fe7b2f	[ "MIT" ]	null	null	null	tests/test_general.py	Cloud-Atlas-BR/CloudAtlas	53b2b7859047fd8c98b548afdec9788334fe7b2f	[ "MIT" ]	null	null	null	tests/test_general.py	Cloud-Atlas-BR/CloudAtlas	53b2b7859047fd8c98b548afdec9788334fe7b2f	[ "MIT" ]	null	null	null	def test_answer(): assert 2 == 2	18	18	0.611111	6	36	3.5	0.833333	0	0	0	0	0	0	0	0	0	0.074074	0.25	36	2	19	18	0.703704	0	0	0	0	0	0	0	0	0.5	1	0.5	true	0	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	null	0	1	0	1	1	0	0	0	0	0	6
c619a0a7f1029b9312ddb12daf887420e80965c3	20	py	Python	src/wspc/__init__.py	shakedna1/wspc_rep	f4492af8cec25a3f7b00687c08d30754a1c0c91f	[ "MIT" ]	null	null	null	src/wspc/__init__.py	shakedna1/wspc_rep	f4492af8cec25a3f7b00687c08d30754a1c0c91f	[ "MIT" ]	null	null	null	src/wspc/__init__.py	shakedna1/wspc_rep	f4492af8cec25a3f7b00687c08d30754a1c0c91f	[ "MIT" ]	null	null	null	from .wspc import *	10	19	0.7	3	20	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.2	20	1	20	20	0.875	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	null	0	0	0	0	1	0	1	0	1	0	6
c61c9e49e38f6232b0e59302c1905390097d4494	28	py	Python	authopenid/__init__.py	dairiki/authopenid-plugin	40dd4503221a0fcbbccfba530025496e0c1f7b1b	[ "BSD-3-Clause" ]	2	2015-01-06T03:21:55.000Z	2015-02-19T21:16:09.000Z	authopenid/__init__.py	trac-hacks/authopenid-plugin	40dd4503221a0fcbbccfba530025496e0c1f7b1b	[ "BSD-3-Clause" ]	8	2015-02-20T02:24:29.000Z	2020-07-23T18:48:13.000Z	authopenid/__init__.py	dairiki/authopenid-plugin	40dd4503221a0fcbbccfba530025496e0c1f7b1b	[ "BSD-3-Clause" ]	4	2015-04-08T17:55:38.000Z	2019-12-24T09:58:08.000Z	from authopenid import *	9.333333	25	0.714286	3	28	6.666667	1	0	0	0	0	0	0	0	0	0	0	0.25	28	2	26	14	0.952381	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	null	0	0	0	0	1	0	1	0	1	0	6
c6219b2d2bd435440fefd94846a5652afbb03691	5,710	py	Python	backend/api/migrations/0001_initial.py	rising-entropy/ADSL-4-Web-Portal	7ba596e0242cffb8affed47c360b52d97161d8ee	[ "MIT" ]	1	2022-02-24T05:35:19.000Z	2022-02-24T05:35:19.000Z	backend/api/migrations/0001_initial.py	SayaliDesai4/StudentManegementPortal	84bdbcabde0f15db0e225ba76c03285dbeb93917	[ "MIT" ]	null	null	null	backend/api/migrations/0001_initial.py	SayaliDesai4/StudentManegementPortal	84bdbcabde0f15db0e225ba76c03285dbeb93917	[ "MIT" ]	1	2022-02-21T06:34:34.000Z	2022-02-21T06:34:34.000Z	# Generated by Django 4.0.1 on 2022-02-13 06:42 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Classroom', fields=[ ...	46.803279	151	0.578284	555	5,710	5.821622	0.142342	0.083565	0.100279	0.133705	0.815537	0.765398	0.747756	0.73321	0.668833	0.668833	0.016235	0.277233	5,710	121	152	47.190083	0.766659	0.007881	0.622807	1	0	0.105774	0.008829	0	0	0	1	0	false	0	0.017544	0	0.052632	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	6
c6318dad7a68979ccf0ad1dfb91c1e8c2d708af5	290	py	Python	site/projectLms/Aluno/views.py	GuiGusmao/LMSProjeto	2c1ffc302068c7d97a79a847b47640e0a6e3dde4	[ "Apache-2.0" ]	null	null	null	site/projectLms/Aluno/views.py	GuiGusmao/LMSProjeto	2c1ffc302068c7d97a79a847b47640e0a6e3dde4	[ "Apache-2.0" ]	null	null	null	site/projectLms/Aluno/views.py	GuiGusmao/LMSProjeto	2c1ffc302068c7d97a79a847b47640e0a6e3dde4	[ "Apache-2.0" ]	null	null	null	from django.shortcuts import render def notas(request): return render(request,'notas.html') def PortalHome(request): return render(request,'PortalHome.html') def contato(request): return render(request,'contato.html') def sugestao(request): return render(request,'sugestao.html')	19.333333	41	0.768966	37	290	6.027027	0.351351	0.233184	0.340807	0.466368	0	0	0	0	0	0	0	0.103448	290	14	42	20.714286	0.857692	0	0	0	0	0.172414	0	0	0	0	1	0.444444	false	0	0.111111	0.444444	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	6
c639807e62bfa2b0f751bee1cb27c73f039d7e00	32	py	Python	python/scirpt.py	pection-zz/Allproject	25dd122cb4b30a360894aba0be4b4a62f465b68e	[ "MIT" ]	2	2020-09-19T04:22:52.000Z	2020-09-23T14:04:17.000Z	python/scirpt.py	pection/Allproject	25dd122cb4b30a360894aba0be4b4a62f465b68e	[ "MIT" ]	null	null	null	python/scirpt.py	pection/Allproject	25dd122cb4b30a360894aba0be4b4a62f465b68e	[ "MIT" ]	2	2020-09-13T03:47:22.000Z	2020-09-23T14:04:19.000Z	import a_module a_module.func()	10.666667	15	0.8125	6	32	4	0.666667	0.583333	0	0	0	0	0	0	0	0	0	0.09375	32	3	16	10.666667	0.827586	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
c63c110e04e5ad3e484613c3a0f15966391fbbba	9,355	py	Python	profiles/tests/test_gql_federation.py	City-of-Helsinki/opencity-profile	a430b562b9937f443d391475fabdc27068b95c49	[ "MIT" ]	5	2020-03-17T15:56:17.000Z	2022-01-31T13:43:31.000Z	profiles/tests/test_gql_federation.py	City-of-Helsinki/opencity-profile	a430b562b9937f443d391475fabdc27068b95c49	[ "MIT" ]	337	2018-05-21T08:35:05.000Z	2022-03-14T07:38:15.000Z	profiles/tests/test_gql_federation.py	City-of-Helsinki/opencity-profile	a430b562b9937f443d391475fabdc27068b95c49	[ "MIT" ]	10	2019-08-05T08:16:06.000Z	2021-08-06T15:08:44.000Z	import pytest from graphql_relay import to_global_id from guardian.shortcuts import assign_perm from open_city_profile.tests.asserts import assert_match_error_code from profiles.schema import AddressNode, ProfileNode from profiles.tests.factories import AddressFactory, ProfileFactory from services.tests.factories impo...	34.776952	90	0.713522	1,031	9,355	6.091174	0.105723	0.107006	0.053822	0.055732	0.822611	0.816879	0.806051	0.803822	0.768153	0.768153	0	0.191235	9,355	268	91	34.906716	0.830029	0	0.628959	0	0	0.172635	0.057723	0	0	0.144796	1	0.058824	false	0	0.031674	0	0.099548	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
d699cf6a0abfd9944a570de426cbc2ae040e473a	3,831	py	Python	dlfairness/other/bias_metric_exp.py	lin-tan/fairness-variance	7f6aee23160707ffe78f429e5d960022ea1c9fe4	[ "BSD-3-Clause" ]	null	null	null	dlfairness/other/bias_metric_exp.py	lin-tan/fairness-variance	7f6aee23160707ffe78f429e5d960022ea1c9fe4	[ "BSD-3-Clause" ]	null	null	null	dlfairness/other/bias_metric_exp.py	lin-tan/fairness-variance	7f6aee23160707ffe78f429e5d960022ea1c9fe4	[ "BSD-3-Clause" ]	null	null	null	import numpy as np import sys arr = np.empty((2, 2, 2)) # GT, Pred, Group arr[0][0][0] = 80 arr[0][1][0] = 20 arr[1][0][0] = 10 arr[1][1][0] = 90 arr[0][0][1] = 60 arr[0][1][1] = 40 arr[1][0][1] = 70 arr[1][1][1] = 30 # SP, class 0 sp_f = arr[:, 0, :].sum() / arr.sum() sp_f_0 = arr[:, 0, 0].sum() / arr[:, :, 0].sum(...	29.244275	118	0.505612	870	3,831	1.973563	0.050575	0.153757	0.089691	0.081538	0.87187	0.822947	0.769948	0.737333	0.612114	0.525917	0.120836	0.200731	3,831	130	119	29.469231	0.439909	0.054033	0.311828	0	0	0.007485	0	0	0	0	1	0	false	0	0.021505	0	0.021505	0.075269	0	0	1	null	0	0	0	1	1	1	1	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
d69e3abbe3dcc09488cb886e46ff66cf611691bb	11,724	py	Python	tests/test_apigatewayv2/test_apigatewayv2.py	symroe/moto	4e106995af6f2820273528fca8a4e9ee288690a5	[ "Apache-2.0" ]	null	null	null	tests/test_apigatewayv2/test_apigatewayv2.py	symroe/moto	4e106995af6f2820273528fca8a4e9ee288690a5	[ "Apache-2.0" ]	1	2022-02-19T02:10:45.000Z	2022-02-19T02:15:52.000Z	tests/test_apigatewayv2/test_apigatewayv2.py	symroe/moto	4e106995af6f2820273528fca8a4e9ee288690a5	[ "Apache-2.0" ]	null	null	null	"""Unit tests for apigatewayv2-supported APIs.""" import boto3 import pytest import sure # noqa # pylint: disable=unused-import from botocore.exceptions import ClientError from moto import mock_apigatewayv2 # See our Development Tips on writing tests for hints on how to write good tests: # http://docs.getmoto.org/en...	35.96319	86	0.646196	1,271	11,724	5.86546	0.116444	0.062911	0.115091	0.145942	0.85285	0.837961	0.786586	0.772636	0.725687	0.671227	0.014141	0.191743	11,724	325	87	36.073846	0.772583	0.020471	0.681004	0	0	0.295251	0.051068	0	0	0	1	0.039427	false	0	0.017921	0	0.057348	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
d6df54eee7ede2f41d95836737f690f0ceb85810	42	py	Python	cloudman/__init__.py	aakashns/cloudman	5923152162151661397408de80783a80ffd8bb09	[ "MIT" ]	10	2019-07-06T08:49:41.000Z	2020-01-16T06:30:28.000Z	cloudman/__init__.py	aakashns/cloudman	5923152162151661397408de80783a80ffd8bb09	[ "MIT" ]	2	2019-11-12T11:53:27.000Z	2019-11-12T11:55:30.000Z	cloudman/__init__.py	aakashns/cloudman	5923152162151661397408de80783a80ffd8bb09	[ "MIT" ]	null	null	null	from cloudman._version import __version__	21	41	0.880952	5	42	6.4	0.8	0	0	0	0	0	0	0	0	0	0	0.095238	42	1	42	42	0.842105	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	null	0	0	0	0	1	0	1	0	1	0	6
ba9dbfcb61740474299dbdec881df5ead6bcd06d	45	py	Python	framework/framework/execute/__init__.py	StepaTa/vkbottle	3b04a5343380cbabe782151e7cb1c1645a9fa9ce	[ "MIT" ]	null	null	null	framework/framework/execute/__init__.py	StepaTa/vkbottle	3b04a5343380cbabe782151e7cb1c1645a9fa9ce	[ "MIT" ]	null	null	null	framework/framework/execute/__init__.py	StepaTa/vkbottle	3b04a5343380cbabe782151e7cb1c1645a9fa9ce	[ "MIT" ]	null	null	null	from .definitions import converter, vkscript	22.5	44	0.844444	5	45	7.6	1	0	0	0	0	0	0	0	0	0	0	0.111111	45	1	45	45	0.95	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	null	0	0	0	0	1	0	1	0	1	0	6
baaf7471c93dc4e4c3b5102d4ac16e244867fb72	536,768	py	Python	examples_obsolete/dataflow_fftN/test_dataflow_fftN.py	akmaru/veriloggen	74f998139e8cf613f7703fa4cffd571bbf069bbc	[ "Apache-2.0" ]	232	2015-09-01T16:07:48.000Z	2022-03-28T14:53:28.000Z	examples_obsolete/dataflow_fftN/test_dataflow_fftN.py	akmaru/veriloggen	74f998139e8cf613f7703fa4cffd571bbf069bbc	[ "Apache-2.0" ]	34	2015-08-21T09:13:03.000Z	2022-03-21T23:52:44.000Z	examples_obsolete/dataflow_fftN/test_dataflow_fftN.py	akmaru/veriloggen	74f998139e8cf613f7703fa4cffd571bbf069bbc	[ "Apache-2.0" ]	46	2015-09-24T14:39:57.000Z	2022-02-23T21:59:56.000Z	from __future__ import absolute_import from __future__ import print_function import veriloggen import dataflow_fftN expected_verilog = """ module test ( ); reg CLK; reg RST; reg signed [16-1:0] din0re; reg signed [16-1:0] din0im; reg signed [16-1:0] din1re; reg signed [16-1:0] din1im; reg signed [16-1...	40.670405	618	0.743204	74,739	536,768	4.518029	0.008684	0.296672	0.197339	0.053732	0.854928	0.717573	0.661072	0.630056	0.47724	0.449515	0.102225	0.179001	536,768	13,197	619	40.673486	0.664019	0	0.489194	0	0.010481	0.998927	0.604425	0	0	0.000081	1	0.000081	false	0	0.000487	0	0.000569	0.000081	0	0	0	null	1	1	0	1	1	0	0	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	6
bab4011c411d22e59ec3f3f81ea2a592e5cdec49	24	py	Python	DSTK/tests/__init__.py	jotterbach/dstk	d371262ca09527fb8279f066b564abf5a1fe28df	[ "MIT" ]	12	2017-01-10T19:50:32.000Z	2020-03-30T20:28:31.000Z	DSTK/tests/__init__.py	jotterbach/dstk	d371262ca09527fb8279f066b564abf5a1fe28df	[ "MIT" ]	7	2016-10-12T16:21:58.000Z	2016-12-01T00:34:54.000Z	DSTK/tests/__init__.py	jotterbach/dstk	d371262ca09527fb8279f066b564abf5a1fe28df	[ "MIT" ]	8	2016-08-22T11:23:12.000Z	2020-03-13T23:18:39.000Z	from tests_gam import *	12	23	0.791667	4	24	4.5	1	0	0	0	0	0	0	0	0	0	0	0.166667	24	1	24	24	0.9	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	null	0	0	0	0	1	0	1	0	1	0	6
bac9812fd861e88bc5468eacd8098f231d403575	136	py	Python	object-detector/__init__.py	pedrooct/object-detector	4fe4671b8232ffae39834d0a5da783818ac40355	[ "MIT" ]	464	2015-07-07T05:19:20.000Z	2022-03-24T23:46:41.000Z	object-detector/__init__.py	pedrooct/object-detector	4fe4671b8232ffae39834d0a5da783818ac40355	[ "MIT" ]	31	2015-08-27T20:08:31.000Z	2021-09-21T07:43:40.000Z	object-detector/__init__.py	pedrooct/object-detector	4fe4671b8232ffae39834d0a5da783818ac40355	[ "MIT" ]	260	2015-07-08T13:40:27.000Z	2022-03-11T15:22:10.000Z	from .extract-features import * from .train-classifier import * from .test-classifier import * from .nms import * from .config import *	22.666667	31	0.757353	18	136	5.722222	0.5	0.38835	0.38835	0	0	0	0	0	0	0	0	0.147059	136	5	32	27.2	0.887931	0	0	0	0	0	0	0	0	0	0	null	null	0	1	null	null	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	0	6
baca81d9c723cf88a5ca9fb9a03c04646b7ed166	27	py	Python	test_pytrain/test_Apriori/__init__.py	pytrain/pytrain-shallow	c873a6f11f1dd940da12e7c9a3c961507d064d9a	[ "MIT" ]	20	2016-09-03T10:56:06.000Z	2020-08-21T01:43:47.000Z	test_pytrain/test_Apriori/__init__.py	pytrain/pytrain	c873a6f11f1dd940da12e7c9a3c961507d064d9a	[ "MIT" ]	8	2016-11-14T12:33:38.000Z	2017-07-14T15:43:53.000Z	test_pytrain/test_Apriori/__init__.py	pytrain/pytrain	c873a6f11f1dd940da12e7c9a3c961507d064d9a	[ "MIT" ]	7	2017-02-09T16:50:37.000Z	2022-01-02T01:18:56.000Z	from test_Apriori import *	13.5	26	0.814815	4	27	5.25	1	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.913043	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	null	0	0	0	0	1	0	1	0	1	0	6
baf16ff1c899f41a7c0a6e2ad3de36b7758dd8b5	7,921	py	Python	tests/test_mediastore/test_mediastore.py	edisongustavo/moto	ae4d20610227b46590ad248535c021208b2bfaed	[ "Apache-2.0" ]	1	2019-10-18T16:10:01.000Z	2019-10-18T16:10:01.000Z	tests/test_mediastore/test_mediastore.py	edisongustavo/moto	ae4d20610227b46590ad248535c021208b2bfaed	[ "Apache-2.0" ]	1	2021-03-08T09:45:17.000Z	2021-03-08T09:45:17.000Z	tests/test_mediastore/test_mediastore.py	edisongustavo/moto	ae4d20610227b46590ad248535c021208b2bfaed	[ "Apache-2.0" ]	null	null	null	from __future__ import unicode_literals import boto3 import sure # noqa import pytest from moto import mock_mediastore from botocore.exceptions import ClientError region = "eu-west-1" @mock_mediastore def test_create_container_succeeds(): client = boto3.client("mediastore", region_name=region) response = c...	40.620513	89	0.745613	866	7,921	6.558891	0.088915	0.066373	0.105282	0.059155	0.916373	0.909155	0.888204	0.851056	0.847535	0.809859	0.00607	0.126499	7,921	194	90	40.829897	0.814858	0.000505	0.6	0	0	0.194694	0.04662	0	0	0	1	0.1	false	0	0.0375	0	0.1375	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
241a50d11ffa6fe4709126b40d28348799beaa06	8,355	py	Python	tests/test_watchdog.py	NiWaRe/deepee	98b5cd09f356f4a597fe204799a524c4d444dd2d	[ "Apache-2.0" ]	16	2021-03-24T09:50:32.000Z	2022-03-10T12:03:37.000Z	tests/test_watchdog.py	NiWaRe/deepee	98b5cd09f356f4a597fe204799a524c4d444dd2d	[ "Apache-2.0" ]	4	2021-03-27T09:36:20.000Z	2021-10-18T09:30:47.000Z	tests/test_watchdog.py	NiWaRe/deepee	98b5cd09f356f4a597fe204799a524c4d444dd2d	[ "Apache-2.0" ]	4	2021-06-24T08:30:47.000Z	2021-11-09T08:33:57.000Z	from deepee.watchdog import PrivacyBudgetExhausted from deepee import PrivacyWatchdog, UniformDataLoader, PrivacyWrapper from deepee.dataloader import UniformWORSubsampler from torch.utils.data import DataLoader, Dataset import torch import pytest from testfixtures import LogCapture class DS(Dataset): def __getit...	26.951613	88	0.601556	974	8,355	4.921971	0.140657	0.009178	0.049645	0.053191	0.794743	0.772841	0.759491	0.744055	0.738006	0.724864	0.03833	0.297427	8,355	310	89	26.951613	0.778365	0.017475	0.728745	0	0	0.012938	0	0	0	0.032389	1	0.145749	false	0	0.02834	0.080972	0.327935	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
244c12fcb46fcd868b6be755180aa9162f6650a5	48	py	Python	ezlog/__init__.py	eiva/ezlog	47aba57ebf69dd55b2c18d5f8a11396f59071ea0	[ "MIT" ]	null	null	null	ezlog/__init__.py	eiva/ezlog	47aba57ebf69dd55b2c18d5f8a11396f59071ea0	[ "MIT" ]	null	null	null	ezlog/__init__.py	eiva/ezlog	47aba57ebf69dd55b2c18d5f8a11396f59071ea0	[ "MIT" ]	null	null	null	from .wrappers import log_call, log_member_call	24	47	0.854167	8	48	4.75	0.75	0	0	0	0	0	0	0	0	0	0	0.104167	48	1	48	48	0.883721	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	null	0	0	0	0	1	0	1	0	1	0	6
246a50d8ac22a7e1ab54799c89a214b8e9a37bff	859	py	Python	ark_nlp/model/tc/bert/__init__.py	confstantine/nlp-task	cb152e885bc6f6f1243a12ad90b1c715eb548736	[ "Apache-2.0" ]	1	2021-12-27T04:48:40.000Z	2021-12-27T04:48:40.000Z	ark_nlp/model/tc/bert/__init__.py	confstantine/nlp-task	cb152e885bc6f6f1243a12ad90b1c715eb548736	[ "Apache-2.0" ]	null	null	null	ark_nlp/model/tc/bert/__init__.py	confstantine/nlp-task	cb152e885bc6f6f1243a12ad90b1c715eb548736	[ "Apache-2.0" ]	1	2021-12-27T04:49:35.000Z	2021-12-27T04:49:35.000Z	from ark_nlp.dataset import SentenceClassificationDataset as Dataset from ark_nlp.dataset import SentenceClassificationDataset as BertTCDataset from ark_nlp.processor.tokenizer.transfomer import SentenceTokenizer as Tokenizer from ark_nlp.processor.tokenizer.transfomer import SentenceTokenizer as BertTCTokenizer from...	50.529412	95	0.888242	116	859	6.37069	0.232759	0.113667	0.162382	0.138024	0.841678	0.768606	0.768606	0.622463	0.351827	0.181326	0	0.086147	859	17	96	50.529412	0.941401	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
03122c1caa10ce78558aac22cb7a375f52e24ce0	19,242	py	Python	mygrid/short_circuit/phase_components.py	grei-ufc/MyGrid	c42fe9d4e0838f253dd5b0716cbf0c892136d931	[ "MIT" ]	3	2018-03-02T11:18:51.000Z	2021-07-30T23:22:18.000Z	mygrid/short_circuit/phase_components.py	grei-ufc/MyGrid	c42fe9d4e0838f253dd5b0716cbf0c892136d931	[ "MIT" ]	8	2017-11-06T12:15:15.000Z	2019-04-29T13:41:27.000Z	mygrid/short_circuit/phase_components.py	grei-ufc/MyGrid	c42fe9d4e0838f253dd5b0716cbf0c892136d931	[ "MIT" ]	4	2019-03-20T11:26:04.000Z	2021-06-03T19:28:05.000Z	import numpy as np import copy from mygrid.grid import Section,TransformerModel, Auto_TransformerModel import pandas as pd """ This scripts allows the user to calculate the unbalanced short-circuits on radial distribution systems modeled on mygrid. """ def biphasic(distgrid, node_name, fs='Higher',Df=False, zc=0+0j)...	22.374419	94	0.65435	3,503	19,242	3.506423	0.063089	0.032565	0.038509	0.026052	0.824636	0.783196	0.770007	0.759912	0.749898	0.739152	0.035035	0.158923	19,242	859	95	22.400466	0.723925	0.139954	0.64781	0	0	0.020648	0	0	0	0	1	0.031022	false	0	0.007299	0	0.091241	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
0319bd2989808e5d20cd1adfecc9b7f82e942bd1	93	py	Python	django/tests/bitcoin_monitor/test_tasks.py	chanhosuh/bitcoin-monitor	acecfcf020cf2debfdf3a2e8c446007d7412d8e1	[ "MIT" ]	1	2020-01-01T15:54:45.000Z	2020-01-01T15:54:45.000Z	django/tests/bitcoin_monitor/test_tasks.py	chanhosuh/bitcoin-monitor	acecfcf020cf2debfdf3a2e8c446007d7412d8e1	[ "MIT" ]	13	2019-02-28T03:24:54.000Z	2021-09-22T17:50:00.000Z	django/tests/bitcoin_monitor/test_tasks.py	chanhosuh/bitcoin-monitor	acecfcf020cf2debfdf3a2e8c446007d7412d8e1	[ "MIT" ]	null	null	null	from django.test.testcases import TestCase class ProcessBlockchainTest(TestCase): pass	15.5	42	0.806452	10	93	7.5	0.9	0	0	0	0	0	0	0	0	0	0	0.139785	93	5	43	18.6	0.9375	0	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	null	0	0	0	0	1	1	1	0	1	0	6
034c5310cbe4c5b96dca0769da16ec02eba17fe9	256	py	Python	utils/__init__.py	IST-DASLab/ACDC	ac53210b6adc1f2506ff909de08172ed9cad25d5	[ "Apache-2.0" ]	6	2021-11-26T01:21:03.000Z	2022-01-10T15:41:50.000Z	utils/__init__.py	IST-DASLab/ACDC	ac53210b6adc1f2506ff909de08172ed9cad25d5	[ "Apache-2.0" ]	1	2021-11-28T10:51:08.000Z	2021-11-30T01:30:29.000Z	utils/__init__.py	IST-DASLab/ACDC	ac53210b6adc1f2506ff909de08172ed9cad25d5	[ "Apache-2.0" ]	1	2021-12-21T13:25:43.000Z	2021-12-21T13:25:43.000Z	from utils.utils import * from utils.parse_config import * from utils.masking_utils import * from utils.datasets import * from utils.checkpoints import * from utils.approximation import * from utils.auto_augmentation import * from utils.flop_utils import *	32	37	0.816406	36	256	5.694444	0.333333	0.35122	0.512195	0.195122	0	0	0	0	0	0	0	0.121094	256	8	38	32	0.911111	0	0	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	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
036e8cd61cc156dded488b2f6b43cea5d9d146f6	41	py	Python	src/core/settings/local.py	thibault/pomodoro_api	5ed4ecd8469f4ccf50246bdaa5421fa6c8042e66	[ "MIT" ]	null	null	null	src/core/settings/local.py	thibault/pomodoro_api	5ed4ecd8469f4ccf50246bdaa5421fa6c8042e66	[ "MIT" ]	null	null	null	src/core/settings/local.py	thibault/pomodoro_api	5ed4ecd8469f4ccf50246bdaa5421fa6c8042e66	[ "MIT" ]	null	null	null	from core.settings.base import * # noqa	20.5	40	0.731707	6	41	5	1	0	0	0	0	0	0	0	0	0	0	0.170732	41	1	41	41	0.882353	0.097561	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	null	0	0	0	0	1	0	1	0	1	0	6
cee9fb9e2160fb5de225907dd20b5378aab8b769	2,487	py	Python	tests/test_itemloader.py	MIPT-Oulu/Collagen	0cbc4285d60e5c9fcc89f629fcf4321e80b7452c	[ "MIT" ]	4	2019-05-14T14:44:51.000Z	2020-03-13T08:37:48.000Z	tests/test_itemloader.py	MIPT-Oulu/Collagen	0cbc4285d60e5c9fcc89f629fcf4321e80b7452c	[ "MIT" ]	26	2019-04-21T20:35:22.000Z	2022-03-12T00:32:57.000Z	tests/test_itemloader.py	MIPT-Oulu/Collagen	0cbc4285d60e5c9fcc89f629fcf4321e80b7452c	[ "MIT" ]	1	2019-05-14T14:53:28.000Z	2019-05-14T14:53:28.000Z	import itertools from collagen.data import ItemLoader from .fixtures import * @pytest.mark.parametrize('batch_size, n_samples', itertools.product([32, 11, 3], [1, 3, 6])) def test_loader_samples_batches(batch_size, n_samples, metadata_fname_target_5_classes, ones_image_parser, img_targ...	50.755102	111	0.679131	323	2,487	4.835913	0.198142	0.115237	0.121639	0.128041	0.828425	0.828425	0.828425	0.828425	0.828425	0.756722	0.021683	0.22115	2,487	48	112	51.8125	0.784719	0	0.594595	0	0	0.043024	0	0	0	0.243243	1	0.081081	false	0	0.081081	0	0.162162	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
304e4d261ebda6206f6c2dda1a613c5f82c32929	204	py	Python	benchmarker/data/model/__init__.py	due-benchmark/baselines	2378c02238a04432c7e1401cbe471d57aaf26ff4	[ "MIT" ]	23	2021-12-07T01:56:02.000Z	2022-03-22T15:24:55.000Z	benchmarker/data/model/__init__.py	due-benchmark/baselines	2378c02238a04432c7e1401cbe471d57aaf26ff4	[ "MIT" ]	1	2022-01-13T10:00:23.000Z	2022-02-24T00:31:12.000Z	benchmarker/data/model/__init__.py	due-benchmark/baselines	2378c02238a04432c7e1401cbe471d57aaf26ff4	[ "MIT" ]	null	null	null	from benchmarker.data.model.example import Example from benchmarker.data.model.feature import Feature from benchmarker.data.model.span import Span __all__ = [ "Example", "Feature", "Span", ]	20.4	50	0.740196	25	204	5.88	0.36	0.306122	0.387755	0.489796	0	0	0	0	0	0	0	0.156863	204	9	51	22.666667	0.854651	0	0	0	0	0.088235	0	0	0	0	1	0	false	0	0.375	0	0.375	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	6
3073156bf02e1e987900b0763ebcf68df7fab9e5	169	py	Python	src/confluence_secret_finder/core/secrets/plugins/base_plugin.py	gsoft-inc/confluence-secret-finder	3c342949f3ffbc3e50e1087e14855a87d94abf24	[ "Apache-2.0" ]	null	null	null	src/confluence_secret_finder/core/secrets/plugins/base_plugin.py	gsoft-inc/confluence-secret-finder	3c342949f3ffbc3e50e1087e14855a87d94abf24	[ "Apache-2.0" ]	null	null	null	src/confluence_secret_finder/core/secrets/plugins/base_plugin.py	gsoft-inc/confluence-secret-finder	3c342949f3ffbc3e50e1087e14855a87d94abf24	[ "Apache-2.0" ]	null	null	null	from abc import ABC, abstractmethod from typing import List class BasePlugin(ABC): @abstractmethod def find_secrets(self, lines: List[str]): return []	18.777778	45	0.704142	21	169	5.619048	0.714286	0.288136	0	0	0	0	0	0	0	0	0	0.213018	169	8	46	21.125	0.887218	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0.333333	0.166667	0.833333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	1	0	6
06a158906d92c598da33ba1946a32a264f08ad5e	3,869	py	Python	ir_measures/measures/nerr.py	claclark/ir_measures	0696f3cdf3d259d7f6713ef6e5cc4a6c2717d6de	[ "Apache-2.0" ]	17	2021-04-27T19:42:27.000Z	2022-03-13T10:57:16.000Z	ir_measures/measures/nerr.py	claclark/ir_measures	0696f3cdf3d259d7f6713ef6e5cc4a6c2717d6de	[ "Apache-2.0" ]	27	2021-04-23T19:33:22.000Z	2022-03-08T13:42:10.000Z	ir_measures/measures/nerr.py	claclark/ir_measures	0696f3cdf3d259d7f6713ef6e5cc4a6c2717d6de	[ "Apache-2.0" ]	3	2021-12-28T21:21:07.000Z	2022-01-26T15:38:40.000Z	from ir_measures import measures from .base import Measure, ParamInfo class _NERR8(measures.Measure): """ Version of the Not (but Nearly) Expected Reciprocal Rank (NERR) measure, version from Equation (8) of the the following paper. :: @inproceedings{Azzopardi:2021:ECE:3471158.3472239, author = ...	37.931373	131	0.670974	467	3,869	5.445396	0.194861	0.08022	0.103814	0.098309	0.8663	0.83956	0.83956	0.83956	0.83956	0.83956	0.068787	0.203412	3,869	101	132	38.306931	0.756327	0.517963	0.428571	0	0	0.199891	0	0	0	0	1	0	false	0	0.047619	0	0.428571	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
231427b4d57a84ccf7bc21b23d0e3e9ccf181c46	202	py	Python	quiz/admin.py	arpitptl/quiz-up	e85329e799abe4da314021369990413225b34ae8	[ "MIT" ]	null	null	null	quiz/admin.py	arpitptl/quiz-up	e85329e799abe4da314021369990413225b34ae8	[ "MIT" ]	null	null	null	quiz/admin.py	arpitptl/quiz-up	e85329e799abe4da314021369990413225b34ae8	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Quiz, Question, Option, UserMarks admin.site.register(Quiz) admin.site.register(Question) admin.site.register(Option) admin.site.register(UserMarks)	28.857143	53	0.821782	28	202	5.928571	0.428571	0.216867	0.409639	0	0	0	0	0	0	0	0	0.074257	202	7	54	28.857143	0.887701	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
231851f25c7ebe3d166bcdcdd7e1410e4e55309e	152	py	Python	tests/test_capitalize.py	rblack42/TikzBuilder	ec69517db422ebda947c6e236c0b9ea597c3a934	[ "BSD-3-Clause" ]	null	null	null	tests/test_capitalize.py	rblack42/TikzBuilder	ec69517db422ebda947c6e236c0b9ea597c3a934	[ "BSD-3-Clause" ]	null	null	null	tests/test_capitalize.py	rblack42/TikzBuilder	ec69517db422ebda947c6e236c0b9ea597c3a934	[ "BSD-3-Clause" ]	null	null	null	# test the testing system def capital_case(x): return x.capitalize() def test_capital_case(): assert capital_case("something") == 'Something'	19	51	0.717105	20	152	5.25	0.6	0.314286	0	0	0	0	0	0	0	0	0	0.164474	152	7	52	21.714286	0.826772	0.151316	0	0	0	0.141732	0	0	0	0.25	1	0.5	false	0	0	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	null	0	0	0	1	0	0	0	1	1	0	6
88dc324a56fe80ff1663f6116ffa3f298c5c32fe	130	py	Python	rosie/__init__.py	fmaida/rosie	3906d11231aadaf9095f00fde8a73bc186403660	[ "MIT" ]	null	null	null	rosie/__init__.py	fmaida/rosie	3906d11231aadaf9095f00fde8a73bc186403660	[ "MIT" ]	null	null	null	rosie/__init__.py	fmaida/rosie	3906d11231aadaf9095f00fde8a73bc186403660	[ "MIT" ]	null	null	null	# Rosie from rosie.utils import RelFile from rosie.exceptions import DocumentNotFound, NoDocuments from rosie.rosie import Rosie	21.666667	58	0.838462	17	130	6.411765	0.470588	0.247706	0	0	0	0	0	0	0	0	0	0.123077	130	5	59	26	0.95614	0.038462	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	null	0	0	0	0	1	0	1	0	1	0	6
0014bbb389260d6465312db1ff744becfaf93073	196	py	Python	schemaless/__init__.py	eklitzke/schemaless	eb2ca453a69e8af36980c53fcc66725116ae7971	[ "0BSD" ]	58	2015-04-30T07:36:45.000Z	2022-01-20T03:37:09.000Z	schemaless/__init__.py	eklitzke/schemaless	eb2ca453a69e8af36980c53fcc66725116ae7971	[ "0BSD" ]	1	2016-01-19T05:28:15.000Z	2016-01-19T05:28:15.000Z	schemaless/__init__.py	eklitzke/schemaless	eb2ca453a69e8af36980c53fcc66725116ae7971	[ "0BSD" ]	14	2015-04-14T09:10:53.000Z	2020-05-09T01:53:17.000Z	from schemaless.guid import * from schemaless.column import Entity, c from schemaless.index import Index from schemaless.datastore import DataStore from schemaless.batch import IndexUpdater, main	32.666667	47	0.846939	26	196	6.384615	0.461538	0.421687	0	0	0	0	0	0	0	0	0	0.112245	196	5	48	39.2	0.954023	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	null	0	0	0	0	1	0	1	0	1	0	6
004795aafe83d2f2d6617165c72e982a0511ea87	7,390	py	Python	networks.py	kenseii/landslide	597ddd0344a03811bcd1d246017b034a2c9c8030	[ "MIT" ]	40	2018-04-05T16:36:11.000Z	2022-03-05T08:29:50.000Z	networks.py	kenseii/landslide	597ddd0344a03811bcd1d246017b034a2c9c8030	[ "MIT" ]	4	2018-01-19T05:11:13.000Z	2021-05-06T13:16:55.000Z	networks.py	kenseii/landslide	597ddd0344a03811bcd1d246017b034a2c9c8030	[ "MIT" ]	28	2017-09-16T18:03:55.000Z	2021-05-06T13:15:00.000Z	from keras.layers import Activation, AvgPool2D, Conv2D, Dense, Dropout, Flatten, Input, MaxPool2D, merge from keras.models import Model, Sequential from utils import Maxout def get_convnet_landslide_all(args) -> Model: input_shape = (args.area_size, args.area_size, 14) model = Sequential() model.add(Conv...	34.53271	104	0.617997	1,133	7,390	3.902913	0.069726	0.117594	0.088648	0.061058	0.865446	0.852555	0.824062	0.810719	0.771823	0.741067	0.062066	0.182409	7,390	213	105	34.694836	0.669811	0.024357	0.625767	0	0	0.073167	0	0	0	0	1	0.055215	false	0	0.018405	0.01227	0.128834	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
cc38465985c17d0379c8cd2d3021d73f3bad45ed	163	py	Python	ebenv/_compat.py	theY4Kman/ebenv	cc609303add9c71e95e5119dd8201a1b4d8bfaca	[ "BSD-3-Clause" ]	null	null	null	ebenv/_compat.py	theY4Kman/ebenv	cc609303add9c71e95e5119dd8201a1b4d8bfaca	[ "BSD-3-Clause" ]	null	null	null	ebenv/_compat.py	theY4Kman/ebenv	cc609303add9c71e95e5119dd8201a1b4d8bfaca	[ "BSD-3-Clause" ]	null	null	null	import sys IS_PY2 = sys.version_info < (3,) if IS_PY2: def iteritems(d): return d.iteritems() else: def iteritems(d): return d.items()	12.538462	32	0.595092	24	163	3.916667	0.583333	0.106383	0.276596	0.404255	0.425532	0	0	0	0	0	0.025641	0.282209	163	12	33	13.583333	0.777778	0	0.25	0	0	0	0	0	0	0	1	0.25	false	0	0.125	0.25	0.625	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	6
cc649984acd4065b1a69ca9e0ee7546c752dad9b	24,788	py	Python	python/fdfault/analysis/write_scec.py	egdaub/fdfault	ec066f032ba109843164429aa7d9e7352485d735	[ "MIT" ]	12	2017-10-05T22:04:40.000Z	2020-08-31T08:32:17.000Z	python/fdfault/analysis/write_scec.py	jhsa26/fdfault	ec066f032ba109843164429aa7d9e7352485d735	[ "MIT" ]	3	2020-05-06T16:48:32.000Z	2020-09-18T11:41:41.000Z	python/fdfault/analysis/write_scec.py	jhsa26/fdfault	ec066f032ba109843164429aa7d9e7352485d735	[ "MIT" ]	12	2017-03-24T19:15:27.000Z	2020-08-31T08:32:18.000Z	""" The ``write_scec`` module contains several functions useful for converting binary output from a simulation to the text file format used by the SCEC Rupture Code Verification group. Functions are written for on fault, off fault, and front data types, and there are versions for both 2D and 3D problems. The functions ...	48.988142	136	0.604204	3,558	24,788	4.139404	0.076447	0.043183	0.038498	0.009234	0.853069	0.839557	0.825435	0.797189	0.792708	0.792436	0.012479	0.243505	24,788	505	137	49.085149	0.772931	0.394747	0.693182	0	0.060606	0.220904	0	0	0	0.064394	1	0.018939	false	0	0.018939	0	0.037879	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
cc6bf5f9ee8ca256e37a2d20025ddfa0d5d111f9	28	py	Python	tapiriik/services/TrainingPeaks/__init__.py	prohfesor/tapiriik	0c476f8bb6b3d51674f0117b054777405ff2ee0d	[ "Apache-2.0" ]	1,445	2015-01-01T21:43:31.000Z	2022-03-17T13:40:23.000Z	tapiriik/services/TrainingPeaks/__init__.py	prohfesor/tapiriik	0c476f8bb6b3d51674f0117b054777405ff2ee0d	[ "Apache-2.0" ]	441	2015-01-02T03:37:49.000Z	2022-03-31T18:18:03.000Z	tapiriik/services/TrainingPeaks/__init__.py	prohfesor/tapiriik	0c476f8bb6b3d51674f0117b054777405ff2ee0d	[ "Apache-2.0" ]	333	2015-01-06T12:14:15.000Z	2022-03-27T19:58:48.000Z	from .trainingpeaks import *	28	28	0.821429	3	28	7.666667	1	0	0	0	0	0	0	0	0	0	0	0.107143	28	1	28	28	0.92	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	null	0	0	0	0	1	0	1	0	1	0	6
aeec3f3a4b398bf144131c4b2179ff364b2d2964	105	py	Python	server/tasks/celery_worker.py	guigolab/biogenome-portal	a30557ea02cc94b863d646c5ff166fb593134974	[ "MIT" ]	1	2022-03-29T05:59:53.000Z	2022-03-29T05:59:53.000Z	server/tasks/celery_worker.py	guigolab/biogenome-portal	a30557ea02cc94b863d646c5ff166fb593134974	[ "MIT" ]	null	null	null	server/tasks/celery_worker.py	guigolab/biogenome-portal	a30557ea02cc94b863d646c5ff166fb593134974	[ "MIT" ]	2	2022-03-03T15:05:57.000Z	2022-03-24T00:10:18.000Z	# from app import create_app # app = create_app() # app.app_context().push() # from tasks import celery	17.5	28	0.714286	16	105	4.5	0.5	0.25	0.333333	0	0	0	0	0	0	0	0	0.161905	105	6	29	17.5	0.818182	0.904762	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	6
4e2e1e08f59ce41b2f250b1764e9b9ed32e4cd87	98	py	Python	gary/integrate/cyintegrators/__init__.py	adrn/gary-old	065b371534baa03deeb860893640068d90ba5881	[ "MIT" ]	null	null	null	gary/integrate/cyintegrators/__init__.py	adrn/gary-old	065b371534baa03deeb860893640068d90ba5881	[ "MIT" ]	null	null	null	gary/integrate/cyintegrators/__init__.py	adrn/gary-old	065b371534baa03deeb860893640068d90ba5881	[ "MIT" ]	null	null	null	from .dop853 import dop853_integrate_potential from .leapfrog import leapfrog_integrate_potential	32.666667	50	0.897959	12	98	7	0.5	0.428571	0	0	0	0	0	0	0	0	0.066667	0.081633	98	2	51	49	0.866667	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	null	0	0	0	0	1	0	1	0	1	0	6
4e3756ac9ee5e3aa611fb295f1091a9c8ba5610d	85	py	Python	vvsa/products/types/index_equity.py	goncalovf/security-analysis	72b80ea7c0c5c93b6fd80a4e347ecdb401b7667e	[ "MIT" ]	1	2021-09-16T13:36:13.000Z	2021-09-16T13:36:13.000Z	vvsa/products/types/index_equity.py	goncalovf/security-analysis	72b80ea7c0c5c93b6fd80a4e347ecdb401b7667e	[ "MIT" ]	null	null	null	vvsa/products/types/index_equity.py	goncalovf/security-analysis	72b80ea7c0c5c93b6fd80a4e347ecdb401b7667e	[ "MIT" ]	null	null	null	from vvsa.abstracts.product_index import Index class Equity_Index(Index): pass	14.166667	46	0.788235	12	85	5.416667	0.75	0	0	0	0	0	0	0	0	0	0	0.152941	85	5	47	17	0.902778	0	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	null	0	0	0	0	1	1	1	0	1	0	6
9d7970a06681091a9f9a6d91fdfc4aff1ce517ab	43	py	Python	tarkov/inventory_dispatcher/inventory/__init__.py	JustEmuTarkov/jet_py	2f352b5e6f5d88594d08afc46e9458e919271788	[ "MIT" ]	14	2021-02-24T02:32:48.000Z	2022-01-03T05:51:45.000Z	tarkov/inventory_dispatcher/inventory/__init__.py	JustEmuTarkov/jet_py	2f352b5e6f5d88594d08afc46e9458e919271788	[ "MIT" ]	1	2021-03-08T09:02:29.000Z	2021-03-08T09:02:29.000Z	tarkov/inventory_dispatcher/inventory/__init__.py	JustEmuTarkov/jet_py	2f352b5e6f5d88594d08afc46e9458e919271788	[ "MIT" ]	4	2021-04-14T01:47:01.000Z	2021-11-29T02:18:32.000Z	from .inventory import InventoryDispatcher	21.5	42	0.883721	4	43	9.5	1	0	0	0	0	0	0	0	0	0	0	0.093023	43	1	43	43	0.974359	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	null	0	0	0	0	1	0	1	0	1	0	6
9d9570d0fed8b99661ca4af9c7d8193423e8c643	127	py	Python	app/model/Checklist.py	Marlysson/trackwork	149f977df468a97bb465fb8fd4f78c29a7517349	[ "MIT" ]	4	2020-07-23T20:19:12.000Z	2021-01-14T20:52:07.000Z	app/model/Checklist.py	Marlysson/trackwork	149f977df468a97bb465fb8fd4f78c29a7517349	[ "MIT" ]	2	2018-06-04T12:03:21.000Z	2018-09-03T13:38:38.000Z	app/model/Checklist.py	Marlysson/trackwork	149f977df468a97bb465fb8fd4f78c29a7517349	[ "MIT" ]	null	null	null	"""Checklist Model.""" from masoniteorm.models import Model class Checklist(Model): """Checklist Model.""" pass	18.142857	37	0.653543	13	127	6.384615	0.615385	0.506024	0	0	0	0	0	0	0	0	0	0.204724	127	7	38	18.142857	0.821782	0.259843	0	0	0	0	0	0	0	0	1	0	true	0.333333	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	null	0	0	0	0	1	1	1	0	0	0	6
9dc159611951919e21b2eef186f0630a89740260	74	py	Python	dynamodb_meta_store/__init__.py	sergeymazin/dynamodb-meta-store	33757240fd823f830f1d36ef6f04c2a82ee88118	[ "Apache-2.0" ]	null	null	null	dynamodb_meta_store/__init__.py	sergeymazin/dynamodb-meta-store	33757240fd823f830f1d36ef6f04c2a82ee88118	[ "Apache-2.0" ]	null	null	null	dynamodb_meta_store/__init__.py	sergeymazin/dynamodb-meta-store	33757240fd823f830f1d36ef6f04c2a82ee88118	[ "Apache-2.0" ]	null	null	null	from dynamodb_meta_store.meta_store import DynamoDBMetaStore # noqa F401	37	73	0.864865	10	74	6.1	0.8	0.295082	0	0	0	0	0	0	0	0	0.045455	0.108108	74	1	74	74	0.878788	0.121622	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	null	0	0	0	0	1	0	1	0	1	0	6
d1b2160319349d236721a350fcc4e05e943889bd	69	py	Python	sciapp/util/__init__.py	dada1437903138/imagepy	65d9ce088894eef587054e04018f9d34ff65084f	[ "BSD-4-Clause" ]	1	2020-08-17T04:18:35.000Z	2020-08-17T04:18:35.000Z	sciapp/util/__init__.py	saber-zero/imagepy	e37df0bfbce026101c815c928ddbd7066162c869	[ "BSD-4-Clause" ]	1	2021-06-20T08:50:20.000Z	2021-06-20T08:50:20.000Z	sciapp/util/__init__.py	saber-zero/imagepy	e37df0bfbce026101c815c928ddbd7066162c869	[ "BSD-4-Clause" ]	1	2021-05-02T03:00:34.000Z	2021-05-02T03:00:34.000Z	from .surfutil import * from .shputil import * from .imgutil import *	23	23	0.753623	9	69	5.777778	0.555556	0.384615	0	0	0	0	0	0	0	0	0	0.15942	69	3	24	23	0.896552	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	null	0	0	0	0	1	0	1	0	1	0	6
d1c439f0ccf6f94b8b712348f7e450824ad5a8e9	24	py	Python	rosbuild_ws/src/behavior_manager/src/behavior_manager/msg/__init__.py	Boberito25/ButlerBot	959f961bbc8c43be0ccb533dd2e2af5c55b0cc2a	[ "BSD-3-Clause" ]	null	null	null	rosbuild_ws/src/behavior_manager/src/behavior_manager/msg/__init__.py	Boberito25/ButlerBot	959f961bbc8c43be0ccb533dd2e2af5c55b0cc2a	[ "BSD-3-Clause" ]	1	2015-06-08T19:55:40.000Z	2015-06-08T19:55:40.000Z	rosbuild_ws/src/behavior_manager/src/behavior_manager/msg/__init__.py	Boberito25/ButlerBot	959f961bbc8c43be0ccb533dd2e2af5c55b0cc2a	[ "BSD-3-Clause" ]	null	null	null	from ._Startup import *	12	23	0.75	3	24	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.166667	24	1	24	24	0.85	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	null	0	0	0	0	1	0	1	0	1	0	6
ae4e2545d7d38e7e56c21eb946cab82de081df60	4,476	py	Python	helper_scripts/composing/list_libs_win.py	xorsnn/altexo	2587ecd66a970d6805cc40635a9ec19786b05dce	[ "MIT" ]	1	2018-09-06T15:37:19.000Z	2018-09-06T15:37:19.000Z	helper_scripts/composing/list_libs_win.py	xorsnn/altexo	2587ecd66a970d6805cc40635a9ec19786b05dce	[ "MIT" ]	null	null	null	helper_scripts/composing/list_libs_win.py	xorsnn/altexo	2587ecd66a970d6805cc40635a9ec19786b05dce	[ "MIT" ]	null	null	null	import os import sys # walk_dir = sys.argv[1] walk_dir = "D:\\WORKSPACE\\webrtc\\src\\out\\Release" def ifExt(fileName): nameLen = len(fileName) ext = (fileName[(nameLen-4):(nameLen)]) # print(ext) if (ext.lower() == ".lib"): return True else: return False def compo...	41.831776	140	0.577078	522	4,476	4.842912	0.197318	0.063687	0.028481	0.040348	0.861155	0.861155	0.822389	0.822389	0.822389	0.822389	0.002155	0.274352	4,476	106	141	42.226415	0.77617	0.301385	0.637681	0	0	0.189252	0.047397	0	0	0	1	0.072464	false	0	0.057971	0	0.15942	0.130435	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
8843f66069e0e2dba82c8b278cc26d56e383570e	68	py	Python	src/Arpspoofing/malarp.py	dhavall13/Python-Scripts	ebbf33fea976375ea7d4d5b604b352b797b41bda	[ "MIT" ]	null	null	null	src/Arpspoofing/malarp.py	dhavall13/Python-Scripts	ebbf33fea976375ea7d4d5b604b352b797b41bda	[ "MIT" ]	null	null	null	src/Arpspoofing/malarp.py	dhavall13/Python-Scripts	ebbf33fea976375ea7d4d5b604b352b797b41bda	[ "MIT" ]	null	null	null	from scapy.all import * broadcast = Ether(dst='ff:ff:ff:ff:ff:ff')	22.666667	42	0.691176	13	68	3.615385	0.615385	0.425532	0.510638	0.510638	0.255319	0	0	0	0	0	0	0.117647	68	3	42	22.666667	0.783333	0	0	0	0	0.246377	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	6
8861646c989d1d54ee13a91094cb0b90faf27150	735	py	Python	Lib/site-packages/tensorflow/keras/mixed_precision/__init__.py	xorb813/Text-Mining	3dced9dd06fc9334d631ddf608b2ed96c2493276	[ "CNRI-Python-GPL-Compatible" ]	1	2021-05-24T10:08:51.000Z	2021-05-24T10:08:51.000Z	Lib/site-packages/tensorflow/keras/mixed_precision/__init__.py	xorb813/Text-Mining	3dced9dd06fc9334d631ddf608b2ed96c2493276	[ "CNRI-Python-GPL-Compatible" ]	null	null	null	Lib/site-packages/tensorflow/keras/mixed_precision/__init__.py	xorb813/Text-Mining	3dced9dd06fc9334d631ddf608b2ed96c2493276	[ "CNRI-Python-GPL-Compatible" ]	null	null	null	# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Keras mixed precision API. See [the mixed precision guide]( https://www.tensorflow.org/guide/keras/mixed_precision) to learn how to use the API. """ from __future__ import print_func...	33.409091	91	0.832653	106	735	5.556604	0.433962	0.166384	0.193548	0.169779	0.34635	0.34635	0.280136	0.280136	0.193548	0	0	0.10068	735	21	92	35	0.891074	0.372789	0	1	0	0	0	0	0	0	1	0	true	0	0.875	0	0.875	0.25	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	1	0	1	0	1	0	6
ee397e90d8da4443bf53214c79e54dc26c5e6cc9	5,649	py	Python	group_conv_op.py	wangxianliang/shufflenet_v2_tensorflow	919f25a1fb058215b614a4f3b6e5dd0190516812	[ "MIT" ]	4	2018-08-15T06:10:03.000Z	2019-02-18T12:16:43.000Z	group_conv_op.py	wangxianliang/shufflenet_v2_tensorflow	919f25a1fb058215b614a4f3b6e5dd0190516812	[ "MIT" ]	1	2019-02-18T12:15:20.000Z	2019-05-24T11:50:02.000Z	group_conv_op.py	wangxianliang/shufflenet_v2_tensorflow	919f25a1fb058215b614a4f3b6e5dd0190516812	[ "MIT" ]	4	2018-09-25T00:36:35.000Z	2020-07-23T07:48:58.000Z	# Tensorflow mandates these. from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf slim = tf.contrib.slim @slim.add_arg_scope def group_conv2d_by_depthwise_conv(inputs, num_outputs, kernel_size, num_groups=1, stride=1, r...	47.470588	82	0.503806	551	5,649	4.860254	0.168784	0.070575	0.051531	0.076176	0.773712	0.766617	0.766617	0.744959	0.724795	0.724795	0.008696	0.429988	5,649	118	83	47.872881	0.822981	0.01965	0.786408	0	0	0.040838	0	0	0	0.038835	1	0.019417	false	0	0.038835	0	0.097087	0.009709	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
ee3d4e59a59a7b3bf2279f63ce76abe9d59e62d7	47	py	Python	torch_lr_finder/__init__.py	AlexGrig/pytorch-lr-finder	b0b0ecd28c0578ad1d5ed06d2442f9a2c29c72e2	[ "MIT" ]	null	null	null	torch_lr_finder/__init__.py	AlexGrig/pytorch-lr-finder	b0b0ecd28c0578ad1d5ed06d2442f9a2c29c72e2	[ "MIT" ]	3	2020-05-25T20:40:01.000Z	2020-05-25T20:50:58.000Z	torch_lr_finder/__init__.py	AlexGrig/pytorch-lr-finder	b0b0ecd28c0578ad1d5ed06d2442f9a2c29c72e2	[ "MIT" ]	1	2020-05-25T20:25:19.000Z	2020-05-25T20:25:19.000Z	from torch_lr_finder.lr_finder import LRFinder	23.5	46	0.893617	8	47	4.875	0.75	0.410256	0	0	0	0	0	0	0	0	0	0.085106	47	1	47	47	0.906977	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
ee50cc62aef58d054e9691e112412cd9172f7ef6	6,448	py	Python	posts/views.py	aniruddha2000/foodfeeda	4dffbbe0310a1809c9743b3525e63bac8a8a0768	[ "Apache-2.0" ]	null	null	null	posts/views.py	aniruddha2000/foodfeeda	4dffbbe0310a1809c9743b3525e63bac8a8a0768	[ "Apache-2.0" ]	null	null	null	posts/views.py	aniruddha2000/foodfeeda	4dffbbe0310a1809c9743b3525e63bac8a8a0768	[ "Apache-2.0" ]	1	2022-03-17T12:47:40.000Z	2022-03-17T12:47:40.000Z	from rest_framework import status from rest_framework.generics import ( ListAPIView, ListCreateAPIView, RetrieveUpdateDestroyAPIView) from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from rest_framework_simplejwt.authentication import JWTAuthentication from accou...	34.666667	89	0.712934	628	6,448	7.18949	0.148089	0.024806	0.045183	0.046512	0.782281	0.782281	0.782281	0.782281	0.757475	0.726689	0.001741	0.198511	6,448	185	90	34.854054	0.871904	0.052885	0.716418	0	0	0.003772	0	0	0	0	1	0.141791	false	0	0.067164	0.044776	0.61194	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
c99e5c02e72b3f1e2ca8ca3059d6a0fd583e003d	27	py	Python	music_metadata_extractor/sources/youtube/__init__.py	2000yeshu/metadata-extractor	e88932c736d4f69d459a752b10e4098f79343273	[ "MIT" ]	null	null	null	music_metadata_extractor/sources/youtube/__init__.py	2000yeshu/metadata-extractor	e88932c736d4f69d459a752b10e4098f79343273	[ "MIT" ]	null	null	null	music_metadata_extractor/sources/youtube/__init__.py	2000yeshu/metadata-extractor	e88932c736d4f69d459a752b10e4098f79343273	[ "MIT" ]	null	null	null	from .core import get_info	13.5	26	0.814815	5	27	4.2	1	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.913043	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	null	0	0	0	0	1	0	1	0	1	0	6
4e8ba3d6f513226a0d49da38014ac990085e9e78	9,337	py	Python	apps/System/handlers.py	swxs/home	652dab7c15ae9c2221c99405ce827be6ccaaccbb	[ "Apache-2.0" ]	1	2021-09-23T10:28:34.000Z	2021-09-23T10:28:34.000Z	apps/System/handlers.py	swxs/home	652dab7c15ae9c2221c99405ce827be6ccaaccbb	[ "Apache-2.0" ]	null	null	null	apps/System/handlers.py	swxs/home	652dab7c15ae9c2221c99405ce827be6ccaaccbb	[ "Apache-2.0" ]	1	2021-09-23T10:28:36.000Z	2021-09-23T10:28:36.000Z	# -- coding: utf-8 -- # @File : views.py # @AUTH : model import bson import json import logging from tornado.web import url from web import BaseHandler, BaseAuthedHanlder, SuccessData, render, undefined from commons.Helpers.Helper_pagenate import Page from .utils.User import User, user_schema from .utils.UserA...	40.24569	116	0.602549	1,133	9,337	4.710503	0.097087	0.056961	0.049466	0.074199	0.891887	0.870714	0.846918	0.789957	0.76335	0.680907	0.003158	0.28778	9,337	231	117	40.419913	0.799399	0.006212	0.693878	0	0	0.039245	0.009811	0	0	0	1	0.010204	false	0	0.040816	0	0.142857	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
4ed6c998b8bf0cad96ce086f1bc7cea1c9f5a1bf	163	py	Python	json2text/__init__.py	xrdavies/json2text	afa83f6f59f74317fb64d1508818106ab4c27aeb	[ "MIT" ]	null	null	null	json2text/__init__.py	xrdavies/json2text	afa83f6f59f74317fb64d1508818106ab4c27aeb	[ "MIT" ]	null	null	null	json2text/__init__.py	xrdavies/json2text	afa83f6f59f74317fb64d1508818106ab4c27aeb	[ "MIT" ]	null	null	null	__version__ = '0.0.1' import sys if sys.version_info[0] > 2: from .json2text import JSON2Text, Text2JSON else: from .json2text import JSON2Text, Text2JSON	23.285714	47	0.736196	23	163	5	0.521739	0.226087	0.330435	0.486957	0.643478	0	0	0	0	0	0.081481	0.171779	163	7	48	23.285714	0.77037	0	0.333333	0	0	0.030488	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	6
14d8b9d1f92ee74e247c533723e0706f914064f8	18,521	py	Python	billingclient/v1/rating/gnocchi/shell.py	nubeliu/billingclient	f2539e211ca049f3ddc9ce5680932f8f5eff7434	[ "Apache-2.0" ]	1	2018-01-04T16:20:51.000Z	2018-01-04T16:20:51.000Z	billingclient/v1/rating/gnocchi/shell.py	nubeliu/billingclient	f2539e211ca049f3ddc9ce5680932f8f5eff7434	[ "Apache-2.0" ]	null	null	null	billingclient/v1/rating/gnocchi/shell.py	nubeliu/billingclient	f2539e211ca049f3ddc9ce5680932f8f5eff7434	[ "Apache-2.0" ]	null	null	null	# NubeliU Billing SDK # @autor: Sergio Colinas import functools from oslo_utils import strutils from billingclient.common import utils from billingclient import exc _bool_strict = functools.partial(strutils.bool_from_string, strict=True) @utils.arg('-m', '--gnocchi-metric', help='Associated gnocchi metr...	34.298148	79	0.57918	2,273	18,521	4.533216	0.050594	0.085404	0.060559	0.050951	0.873738	0.821137	0.796778	0.745148	0.684103	0.642857	0.000372	0.273689	18,521	539	80	34.361781	0.765611	0.031532	0.713978	0	0	0.229068	0.003704	0	0	0	1	0.049462	false	0	0.008602	0	0.058065	0.027957	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
14ecf89a3ce6ef39e8aa28237f0ead0cc31afd0a	132	py	Python	pymtl3/stdlib/test/__init__.py	hsqforfun/pymtl3	05e06601cf262a663a95d1235cb99056ece84580	[ "BSD-3-Clause" ]	1	2019-11-12T12:26:01.000Z	2019-11-12T12:26:01.000Z	pymtl3/stdlib/test/__init__.py	hsqforfun/pymtl3	05e06601cf262a663a95d1235cb99056ece84580	[ "BSD-3-Clause" ]	null	null	null	pymtl3/stdlib/test/__init__.py	hsqforfun/pymtl3	05e06601cf262a663a95d1235cb99056ece84580	[ "BSD-3-Clause" ]	null	null	null	from .test_sinks import TestSinkCL from .test_srcs import TestSrcCL from .test_utils import TestVectorSimulator, mk_test_case_table	33	63	0.871212	19	132	5.736842	0.631579	0.220183	0	0	0	0	0	0	0	0	0	0.098485	132	3	64	44	0.915966	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	null	0	0	0	0	1	0	1	0	1	0	6
090d861a69194acff01f45da1b38433fa9ad0a19	30	py	Python	models/__init__.py	yifanfeng97/OS-MN40-Example	ca0e9b8017cdb95a2bf8dfdd6b8fbd284c8d97aa	[ "MIT" ]	11	2022-01-16T07:35:45.000Z	2022-03-04T02:55:41.000Z	models/__init__.py	yifanfeng97/OS-MN40-Example	ca0e9b8017cdb95a2bf8dfdd6b8fbd284c8d97aa	[ "MIT" ]	null	null	null	models/__init__.py	yifanfeng97/OS-MN40-Example	ca0e9b8017cdb95a2bf8dfdd6b8fbd284c8d97aa	[ "MIT" ]	null	null	null	from .combine import UniModel	15	29	0.833333	4	30	6.25	1	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.961538	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	null	0	0	0	0	1	0	1	0	1	0	6
0921d7d5c4330f4ad16093a9b76e66ab2fbdadbc	149	py	Python	{{cookiecutter.project_slug}}/app/connection/db_instance.py	ActivandoIdeas/Cookiecutter-Flask-Microservice-SQLAlchemy	c002de1bf620eb57130c5ef6159a302afb6abcb2	[ "BSD-3-Clause" ]	null	null	null	{{cookiecutter.project_slug}}/app/connection/db_instance.py	ActivandoIdeas/Cookiecutter-Flask-Microservice-SQLAlchemy	c002de1bf620eb57130c5ef6159a302afb6abcb2	[ "BSD-3-Clause" ]	null	null	null	{{cookiecutter.project_slug}}/app/connection/db_instance.py	ActivandoIdeas/Cookiecutter-Flask-Microservice-SQLAlchemy	c002de1bf620eb57130c5ef6159a302afb6abcb2	[ "BSD-3-Clause" ]	null	null	null	"""Generate db instance for SQLAlchemy""" from flask_sqlalchemy import SQLAlchemy from .database import metadata db = SQLAlchemy(metadata=metadata)	24.833333	41	0.812081	18	149	6.666667	0.555556	0.233333	0	0	0	0	0	0	0	0	0	0.114094	149	6	42	24.833333	0.909091	0.234899	0	1	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	null	0	0	0	0	0	0	1	0	1	0	6
092804802f17d92db033bf0dc07d5b6f25768639	6,496	py	Python	Piano.py	saransha/EasyElectric	7d2642accdd2b06572f9eda70feb0617cbb9785e	[ "MIT" ]	1	2020-03-19T16:31:52.000Z	2020-03-19T16:31:52.000Z	Piano.py	saransha/EasyElectric	7d2642accdd2b06572f9eda70feb0617cbb9785e	[ "MIT" ]	null	null	null	Piano.py	saransha/EasyElectric	7d2642accdd2b06572f9eda70feb0617cbb9785e	[ "MIT" ]	null	null	null	import pygame pygame.init() class Piano(object): def __init__(self): self.A0=pygame.mixer.Sound(file='Piano WAV/Piano.ff.A0.wav') self.A1=pygame.mixer.Sound(file='Piano WAV/Piano.ff.A1.wav') self.A2=pygame.mixer.Sound(file='Piano WAV/Piano.ff.A2.wav') self.A3=pygame.mixer.Sound(file...	61.283019	76	0.666256	1,101	6,496	3.922797	0.107175	0.224126	0.326001	0.407502	0.713128	0.713128	0.713128	0.713128	0	0	0.034245	0.1504	6,496	105	77	61.866667	0.748324	0	0	0	0	0.34796	0	0	0	0	1	0.020202	false	0	0.010101	0.010101	0.050505	0	0	0	0	null	1	1	1	0	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.