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_cate_encoded_data_quality_signal float64	qsc_code_frac_chars_hex_words_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_num_chars_line_max int64	qsc_code_num_chars_line_mean 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_lines_long_string 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_cate_encoded_data int64	qsc_code_frac_chars_hex_words int64	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
6d793f7eed23a8e32819461276be9643de946e28	54	py	Python	acmicpc/3053/3053.py	love-adela/algorithm	4ccd02173c96f8369962f1fd4e5166a221690fa2	[ "MIT" ]	3	2019-03-09T05:19:23.000Z	2019-04-06T09:26:36.000Z	acmicpc/3053/3053.py	love-adela/algorithm	4ccd02173c96f8369962f1fd4e5166a221690fa2	[ "MIT" ]	1	2020-02-23T10:38:04.000Z	2020-02-23T10:38:04.000Z	acmicpc/3053/3053.py	love-adela/algorithm	4ccd02173c96f8369962f1fd4e5166a221690fa2	[ "MIT" ]	1	2019-05-22T13:47:53.000Z	2019-05-22T13:47:53.000Z	n=int(input())*2 print(n3.14159265359) print(n*2.0)	13.5	22	0.666667	12	54	3	0.666667	0.333333	0	0	0	0	0	0	0	0	0.294118	0.055556	54	3	23	18	0.411765	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	6
6d8309d0525efb522da2ea48d66f0b90afb3437e	83	py	Python	exe.curso em video/Aula 11.py	Lorenzo-Lopes/Python-Estudo	7ee623ce29b6a0e9fac48189fbd9c641be84d418	[ "MIT" ]	null	null	null	exe.curso em video/Aula 11.py	Lorenzo-Lopes/Python-Estudo	7ee623ce29b6a0e9fac48189fbd9c641be84d418	[ "MIT" ]	null	null	null	exe.curso em video/Aula 11.py	Lorenzo-Lopes/Python-Estudo	7ee623ce29b6a0e9fac48189fbd9c641be84d418	[ "MIT" ]	null	null	null	print('oi') n = int(input('\033[4;34;43mteste\033[1;31;47m /033[0;0;0m')) print(n)	20.75	61	0.626506	19	83	2.736842	0.736842	0	0	0	0	0	0	0	0	0	0.285714	0.072289	83	3	62	27.666667	0.38961	0	0	0	0.333333	0.542169	0.373494	0	0	0	0	1	0	false	0	0	0	0	0.666667	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	6
6d848008106f98d262699428afcc5f1eeb492c0f	100	py	Python	src/main.py	StephenGemin/discord-bot	b85254b0f1fdf5e1415d2ee026601e7557c73856	[ "MIT" ]	null	null	null	src/main.py	StephenGemin/discord-bot	b85254b0f1fdf5e1415d2ee026601e7557c73856	[ "MIT" ]	null	null	null	src/main.py	StephenGemin/discord-bot	b85254b0f1fdf5e1415d2ee026601e7557c73856	[ "MIT" ]	null	null	null	from discord_bot.view import start_discord_bot if __name__ == "__main__": start_discord_bot()	16.666667	46	0.77	14	100	4.571429	0.642857	0.46875	0.46875	0	0	0	0	0	0	0	0	0.15	100	5	47	20	0.752941	0	0	0	0	0.08	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	0	0	0	null	0	0	0	0	0	0	1	0	1	0	0	0	6
099b402200da1c4ee1d94cd464ea8b0137f56001	62	py	Python	scrapers/lords/__init__.py	spudmind/spud	86e44bca4efd3cd6358467e1511048698a45edbc	[ "MIT" ]	2	2015-04-11T12:22:41.000Z	2016-08-18T11:12:06.000Z	scrapers/lords/__init__.py	spudmind/spud	86e44bca4efd3cd6358467e1511048698a45edbc	[ "MIT" ]	84	2015-01-22T14:33:49.000Z	2015-04-01T23:15:29.000Z	scrapers/lords/__init__.py	spudmind/spud	86e44bca4efd3cd6358467e1511048698a45edbc	[ "MIT" ]	1	2015-04-16T03:10:39.000Z	2015-04-16T03:10:39.000Z	from fetch_lords import fetch from scrape_lords import scrape	20.666667	31	0.870968	10	62	5.2	0.5	0.423077	0	0	0	0	0	0	0	0	0	0.129032	62	2	32	31	0.962963	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
61eda79cd22fed4633d1aff056fe430f646f69a4	14,712	py	Python	difi/tests/test_metrics.py	moeyensj/difi	4108ee93f35030174eb456b9e5a8a2e9cbbd04a0	[ "BSD-3-Clause" ]	1	2019-02-14T20:10:44.000Z	2019-02-14T20:10:44.000Z	difi/tests/test_metrics.py	moeyensj/difi	4108ee93f35030174eb456b9e5a8a2e9cbbd04a0	[ "BSD-3-Clause" ]	22	2019-02-06T22:22:20.000Z	2021-05-12T17:13:21.000Z	difi/tests/test_metrics.py	moeyensj/difi	4108ee93f35030174eb456b9e5a8a2e9cbbd04a0	[ "BSD-3-Clause" ]	1	2020-10-05T05:02:26.000Z	2020-10-05T05:02:26.000Z	import pytest import numpy as np import pandas as pd from pandas.testing import assert_frame_equal from ..metrics import calcFindableMinObs from ..metrics import calcFindableNightlyLinkages from .create_test_data import createTestDataSet MIN_OBS = range(5, 10) def test_calcFindableMinObs(): ### Test calcFindabl...	49.04	185	0.688146	1,921	14,712	5.078605	0.100469	0.134481	0.046125	0.077798	0.818573	0.797765	0.758303	0.758303	0.74836	0.73811	0.06111	0.214723	14,712	300	186	49.04	0.783346	0.321438	0.679245	0	0	0.077406	0	0	0	0	0.132075	1	0.012579	false	0	0.044025	0	0.069182	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
11027a164698ede72d76475d8fdffe56acba203c	182	py	Python	quran/usecase/image/find_image.py	octabytes/quran	974d351cf5e6a12a28a5ac9f29c8d2753ae6dd86	[ "Apache-2.0" ]	null	null	null	quran/usecase/image/find_image.py	octabytes/quran	974d351cf5e6a12a28a5ac9f29c8d2753ae6dd86	[ "Apache-2.0" ]	null	null	null	quran/usecase/image/find_image.py	octabytes/quran	974d351cf5e6a12a28a5ac9f29c8d2753ae6dd86	[ "Apache-2.0" ]	null	null	null	class FindImage: def __init__(self, image_repo): self.image_repo = image_repo def by_ayah_id(self, ayah_id): return self.image_repo.find_by_ayah_id(ayah_id)	26	55	0.708791	29	182	3.931034	0.413793	0.315789	0.342105	0	0	0	0	0	0	0	0	0.208791	182	7	55	26	0.791667	0	0	0	0	0	0	0	0	0	0	1	0.4	false	0	0	0.2	0.8	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	1	0	0	6
1141e514f4e00f71b3246547bc4756e21bd24313	28	py	Python	_lib/godot/bindings/tools.py	WilliamTambellini/godopy	7b4142ddf7acafa66e1b2b201afa5fa37a4c7f4e	[ "MIT" ]	30	2020-02-09T22:30:06.000Z	2022-01-26T04:23:09.000Z	_lib/godot/bindings/tools.py	WilliamTambellini/godopy	7b4142ddf7acafa66e1b2b201afa5fa37a4c7f4e	[ "MIT" ]	1	2020-10-12T04:12:52.000Z	2020-12-19T07:07:51.000Z	_lib/godot/bindings/tools.py	WilliamTambellini/godopy	7b4142ddf7acafa66e1b2b201afa5fa37a4c7f4e	[ "MIT" ]	5	2020-02-10T02:49:13.000Z	2021-01-25T18:18:16.000Z	from .python.tools import *	14	27	0.75	4	28	5.25	1	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	0.875	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
114d5755227d7f7b11bfb088254c63c839d57ab7	123	py	Python	Section10_Facade/Practice/Generator.py	enriqueescobar-askida/Kinito.Python	e4c5521e771c4de0ceaf81776a4a61f7de01edb4	[ "MIT" ]	1	2020-10-20T07:41:51.000Z	2020-10-20T07:41:51.000Z	Section10_Facade/Practice/Generator.py	enriqueescobar-askida/Kinito.Python	e4c5521e771c4de0ceaf81776a4a61f7de01edb4	[ "MIT" ]	null	null	null	Section10_Facade/Practice/Generator.py	enriqueescobar-askida/Kinito.Python	e4c5521e771c4de0ceaf81776a4a61f7de01edb4	[ "MIT" ]	null	null	null	from random import randint class Generator: def generate(self, count): return [randint(1,9) for x in range(count)]	17.571429	47	0.715447	19	123	4.631579	0.894737	0	0	0	0	0	0	0	0	0	0.02	0.186992	123	6	48	20.5	0.86	0	0	1	0	0	0	0	0	0	0	1	0.25	false	0	0.25	0.25	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	0	0	1	1	0	6
3a2c4c2999dcc761298d4f451a078adf13eba7a0	149	py	Python	pygem/tests/test_basics.py	lilianschuster/PyGEM	c805d09960f937fe6e35cdd1587f9089d4bec6b8	[ "MIT" ]	25	2019-06-12T21:08:24.000Z	2022-03-01T08:05:14.000Z	pygem/tests/test_basics.py	lilianschuster/PyGEM	c805d09960f937fe6e35cdd1587f9089d4bec6b8	[ "MIT" ]	2	2020-04-23T14:08:00.000Z	2020-06-04T13:52:44.000Z	pygem/tests/test_basics.py	lilianschuster/PyGEM	c805d09960f937fe6e35cdd1587f9089d4bec6b8	[ "MIT" ]	24	2019-06-12T19:48:40.000Z	2022-02-16T03:42:53.000Z	import pygem def test_version_string(): # simple test to check that the verion number is available assert type(pygem.__version__ ) == str	18.625	62	0.731544	21	149	4.904762	0.857143	0	0	0	0	0	0	0	0	0	0	0.208054	149	7	63	21.285714	0.872881	0.375839	0	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	0	0	0	null	0	0	0	0	0	1	1	0	1	0	1	0	6
e90fdc92d0651cb3d0b6aeb5b5752a662b2453ba	13,225	py	Python	model_dropout.py	soufiomario/keras-cnn	6ba72bf89dfc746d8a30634219160843b16c5fb8	[ "CC0-1.0" ]	5	2020-03-18T09:33:17.000Z	2022-03-20T15:19:18.000Z	model_dropout.py	soufiomario/keras-cnn	6ba72bf89dfc746d8a30634219160843b16c5fb8	[ "CC0-1.0" ]	1	2021-09-07T14:47:07.000Z	2021-09-07T14:47:44.000Z	model_dropout.py	soufiomario/keras-cnn	6ba72bf89dfc746d8a30634219160843b16c5fb8	[ "CC0-1.0" ]	11	2020-02-14T04:15:51.000Z	2021-12-11T12:31:38.000Z	import keras from keras.datasets import cifar10 from keras.models import Sequential from keras.layers import Dense, Dropout, Flatten from keras.layers import Conv2D, MaxPooling2D from keras import backend as K from keras.constraints import max_norm # Model configuration img_width, img_height = 32, 32 batch_siz...	49.163569	164	0.733837	1,891	13,225	4.927552	0.088842	0.115905	0.089719	0.122773	0.807684	0.795235	0.79223	0.783859	0.775059	0.757244	0.078243	0.092552	13,225	269	165	49.163569	0.698192	0.785633	0.08	0	0	0.050758	0	0	0	0	0	1	0	false	0	0.14	0	0.14	0.02	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
e927b0dfc553dadb3b4e6922e4c7c716d582e644	1,417	py	Python	tests/test_a0095uniquebinarysearchtreesii.py	nirofang/pyleet	600d58ad97028c9a14148af4ef468683a011a515	[ "MIT" ]	3	2019-11-06T13:10:38.000Z	2021-11-17T07:29:54.000Z	tests/test_a0095uniquebinarysearchtreesii.py	nirofang/pyleet	600d58ad97028c9a14148af4ef468683a011a515	[ "MIT" ]	1	2020-12-17T22:18:05.000Z	2020-12-17T22:18:05.000Z	tests/test_a0095uniquebinarysearchtreesii.py	nirofang/pyleet	600d58ad97028c9a14148af4ef468683a011a515	[ "MIT" ]	1	2019-11-06T13:10:45.000Z	2019-11-06T13:10:45.000Z	from solutions.a0095uniquebinarysearchtreesii import Solution from utils.tree.TreeNode import TreeNode import json solution = Solution() # def test_generateTrees1(): # n = 3 # expect = sorted([TreeNode.integerListToString(nums) for nums in [ # [1, None, 3, 2], # [3, 2, None, 1], # [3, 1, None, None,...	29.520833	116	0.685251	180	1,417	5.372222	0.183333	0.086867	0.204757	0.229576	0.750776	0.724922	0.724922	0.724922	0.671148	0.507756	0.027444	0.177135	1,417	47	117	30.148936	0.801887	0.304869	0.458333	1	0	0	0	0	0	0	0.25	1	0.125	false	0	0.125	0	0.25	0	0	0	0	null	0	1	1	0	1	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
e94363fca85ee7931d530cd96b67366486d585e0	216	py	Python	src/common/new_user_creation.py	gruyaume/my-blockchain	283f5ef0c8c09eff0478dfead3950c720cda2882	[ "Apache-2.0" ]	4	2021-11-14T17:16:03.000Z	2022-03-17T21:01:42.000Z	src/common/new_user_creation.py	gruyaume/my-blockchain	283f5ef0c8c09eff0478dfead3950c720cda2882	[ "Apache-2.0" ]	null	null	null	src/common/new_user_creation.py	gruyaume/my-blockchain	283f5ef0c8c09eff0478dfead3950c720cda2882	[ "Apache-2.0" ]	5	2021-07-30T14:27:37.000Z	2021-12-15T12:08:46.000Z	from common.owner import Owner owner = Owner() print(f"private key: {owner.private_key.export_key(format='DER')}") print(f"public key hash: {owner.public_key_hash}") print(f"public key hex: {owner.public_key_hex}")	30.857143	67	0.75463	36	216	4.361111	0.388889	0.229299	0.152866	0.191083	0	0	0	0	0	0	0	0.087963	216	6	68	36	0.796954	0	0	0	0	0.625	0.412037	0	0	0	0	1	0	false	0	0.2	0	0.2	0.6	0	0	0	null	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	0	1	6
3a6858d2ab63ec58a60118a8aa3ec8637f6fb6b9	102	py	Python	core/crawler/crawl.py	abdallah-elsharif/WRock	7cfd4bf29e932bf0048ee357c16cf6c021e7fb81	[ "MIT" ]	14	2022-03-13T19:51:24.000Z	2022-03-18T07:36:39.000Z	core/crawler/crawl.py	abdallah-elsharif/WRock	7cfd4bf29e932bf0048ee357c16cf6c021e7fb81	[ "MIT" ]	null	null	null	core/crawler/crawl.py	abdallah-elsharif/WRock	7cfd4bf29e932bf0048ee357c16cf6c021e7fb81	[ "MIT" ]	3	2022-03-14T05:58:06.000Z	2022-03-14T11:46:47.000Z	from core.crawler.crawler import WebCrawler def crawl(config): return WebCrawler(config).Start()	20.4	43	0.77451	13	102	6.076923	0.769231	0	0	0	0	0	0	0	0	0	0	0.127451	102	5	44	20.4	0.88764	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	1	1	1	0	6
3a92f8edda04a6262981d6d6424b66f06b3a8120	157	py	Python	src/frontend/controllers/kitchen.py	arnulfojr/simple-pos	119c4c52bf62f52004f4b2b031098ed71890d250	[ "MIT" ]	1	2018-09-11T19:32:25.000Z	2018-09-11T19:32:25.000Z	src/frontend/controllers/kitchen.py	arnulfojr/simple-pos	119c4c52bf62f52004f4b2b031098ed71890d250	[ "MIT" ]	null	null	null	src/frontend/controllers/kitchen.py	arnulfojr/simple-pos	119c4c52bf62f52004f4b2b031098ed71890d250	[ "MIT" ]	null	null	null	from flask import render_template from .. import app @app.route('/kitchen/', methods=['GET']) def render_kitchen_view(): return render_template('')	14.272727	40	0.707006	20	157	5.35	0.65	0.261682	0	0	0	0	0	0	0	0	0	0.146497	157	10	41	15.7	0.798507	0	0	0	0	0.077419	0	0	0	0	0	1	0.2	true	0	0.4	0.2	0.8	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	1	1	0	6
3ac71ae0feb98dfe47ceb8f67c4588c0520d9ece	230	py	Python	wazimap_ng/points/admin/__init__.py	arghyaiitb/wazimap-ng	2a77860526d865b8fd0c22a2204f121fdb3b28a0	[ "Apache-2.0" ]	11	2019-12-31T20:27:22.000Z	2022-03-10T03:55:38.000Z	wazimap_ng/points/admin/__init__.py	arghyaiitb/wazimap-ng	2a77860526d865b8fd0c22a2204f121fdb3b28a0	[ "Apache-2.0" ]	164	2020-02-06T15:02:22.000Z	2022-03-30T22:42:00.000Z	wazimap_ng/points/admin/__init__.py	arghyaiitb/wazimap-ng	2a77860526d865b8fd0c22a2204f121fdb3b28a0	[ "Apache-2.0" ]	16	2020-01-03T20:30:24.000Z	2022-01-11T11:05:15.000Z	from .theme_admin import ThemeAdmin from .location_admin import LocationAdmin from .profilecategory_admin import ProfileCategoryAdmin from .category_admin import CategoryAdmin from .coordinate_file_admin import CoordinateFileAdmin	46	55	0.895652	26	230	7.692308	0.538462	0.275	0	0	0	0	0	0	0	0	0	0.082609	230	5	56	46	0.947867	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
3af33daab91cbdd24da8da2beb3ea99484b254b8	23	py	Python	PyColored/__init__.py	MrHedryX/PyColours	b1363f7354ad938343cf8953ebffe0479aa7a4f6	[ "MIT" ]	null	null	null	PyColored/__init__.py	MrHedryX/PyColours	b1363f7354ad938343cf8953ebffe0479aa7a4f6	[ "MIT" ]	null	null	null	PyColored/__init__.py	MrHedryX/PyColours	b1363f7354ad938343cf8953ebffe0479aa7a4f6	[ "MIT" ]	null	null	null	from .colours import *	11.5	22	0.73913	3	23	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.173913	23	1	23	23	0.894737	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
aaf1c6fe8814afe42f0c78715a2b16a28f4063c4	169	py	Python	ggpy/cruft/autocode/Event.py	hobson/ggpy	4e6e6e876c3a4294cd711647051da2d9c1836b60	[ "MIT" ]	1	2015-01-26T19:07:45.000Z	2015-01-26T19:07:45.000Z	ggpy/cruft/autocode/Event.py	hobson/ggpy	4e6e6e876c3a4294cd711647051da2d9c1836b60	[ "MIT" ]	null	null	null	ggpy/cruft/autocode/Event.py	hobson/ggpy	4e6e6e876c3a4294cd711647051da2d9c1836b60	[ "MIT" ]	null	null	null	#!/usr/bin/env python """ generated source for module Event """ # package: org.ggp.base.util.observer class Event(object): """ generated source for class Event """	24.142857	44	0.692308	23	169	5.086957	0.73913	0.25641	0.307692	0	0	0	0	0	0	0	0	0.153846	169	6	45	28.166667	0.818182	0.739645	0	1	0	0	0	0	0	0	0	1	0	true	0	0	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	0	6
c92db475a620b89f1b7440b904315aef1e24579d	93	py	Python	data/__init__.py	ssydasheng/Neural-Kernel-Network	2b1540f20445e05705769cfd5808d2810eac8a4f	[ "MIT" ]	67	2018-07-03T14:01:08.000Z	2021-11-08T10:40:55.000Z	data/__init__.py	ssydasheng/Neural-Kernel-Network	2b1540f20445e05705769cfd5808d2810eac8a4f	[ "MIT" ]	1	2019-10-13T12:33:42.000Z	2019-10-15T07:14:51.000Z	data/__init__.py	ssydasheng/Neural-Kernel-Network	2b1540f20445e05705769cfd5808d2810eac8a4f	[ "MIT" ]	8	2018-07-04T18:57:40.000Z	2020-07-31T11:14:11.000Z	from .register import * from .hparams import * from .data import * from .timeSeries import *	18.6	25	0.741935	12	93	5.75	0.5	0.434783	0	0	0	0	0	0	0	0	0	0.172043	93	4	26	23.25	0.896104	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
a3415feadfd677e09cc64c4cb3f96e2fa0a9a1ea	160	py	Python	fuzzyfloat/types.py	keystonetowersystems/fuzzyfloat	551f324180d1b107149e3d3d3b8076f6397cdfb3	[ "MIT" ]	null	null	null	fuzzyfloat/types.py	keystonetowersystems/fuzzyfloat	551f324180d1b107149e3d3d3b8076f6397cdfb3	[ "MIT" ]	null	null	null	fuzzyfloat/types.py	keystonetowersystems/fuzzyfloat	551f324180d1b107149e3d3d3b8076f6397cdfb3	[ "MIT" ]	null	null	null	from .meta import FuzzyFloatMeta class rel_fp(metaclass=FuzzyFloatMeta): pass class abs_fp(metaclass=FuzzyFloatMeta, rel_tol=0.0, atol=1e-07): pass	16	64	0.75625	23	160	5.130435	0.652174	0.186441	0.423729	0	0	0	0	0	0	0	0.036765	0.15	160	9	65	17.777778	0.830882	0	0.4	0	0	0	0	0	0	0	0	1	0	true	0.4	0.2	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	0	0	0	null	0	0	0	0	0	0	1	1	0	0	1	0	6
6e6f48fa31ca0cb89aadc6b7b4522a4dc7f65a98	251	py	Python	sdk/lusid_configuration/api/__init__.py	finbourne/lusid-configuration-sdk-python-preview	f9ed2bc71042ce1b6f85baf62c9f6603150000dc	[ "MIT" ]	null	null	null	sdk/lusid_configuration/api/__init__.py	finbourne/lusid-configuration-sdk-python-preview	f9ed2bc71042ce1b6f85baf62c9f6603150000dc	[ "MIT" ]	null	null	null	sdk/lusid_configuration/api/__init__.py	finbourne/lusid-configuration-sdk-python-preview	f9ed2bc71042ce1b6f85baf62c9f6603150000dc	[ "MIT" ]	1	2021-12-09T18:53:23.000Z	2021-12-09T18:53:23.000Z	from __future__ import absolute_import # flake8: noqa # import apis into api package from lusid_configuration.api.application_metadata_api import ApplicationMetadataApi from lusid_configuration.api.configuration_sets_api import ConfigurationSetsApi	31.375	83	0.880478	30	251	7	0.566667	0.085714	0.209524	0.238095	0	0	0	0	0	0	0.004386	0.091633	251	7	84	35.857143	0.916667	0.163347	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
6eb6377c66738d2e3e66614c58f3bc58e7ec6530	1,353	py	Python	app/core/forms.py	mihalw28/book_manager	553397a4c25e5f90a02bd794722f77b423c346e5	[ "MIT" ]	1	2020-04-22T18:05:14.000Z	2020-04-22T18:05:14.000Z	app/core/forms.py	mihalw28/book_manager	553397a4c25e5f90a02bd794722f77b423c346e5	[ "MIT" ]	null	null	null	app/core/forms.py	mihalw28/book_manager	553397a4c25e5f90a02bd794722f77b423c346e5	[ "MIT" ]	null	null	null	from flask_wtf import FlaskForm from wtforms import IntegerField, StringField, SubmitField, TextAreaField from wtforms.validators import DataRequired, InputRequired, ValidationError class AddBookForm(FlaskForm): title = StringField("Title", validators=[DataRequired()]) author = StringField("Author", va...	45.1	77	0.700665	144	1,353	6.506944	0.333333	0.059765	0.055496	0.064034	0.770544	0.770544	0.770544	0.770544	0.770544	0.770544	0.00365	0.189948	1,353	29	78	46.655172	0.851277	0.080562	0.666667	0	0	0.142027	0	0	0	0	0	1	0.095238	false	0	0.142857	0	0.809524	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	6
42fe7e20aa1719e1564e1e8a7b24964f711a720d	48,427	py	Python	heat_cfntools/tests/test_cfn_helper.py	citrix-openstack-build/heat-cfntools	8ef88a6e864fa49cdc6dda9b1c701a29e0557253	[ "Apache-2.0" ]	null	null	null	heat_cfntools/tests/test_cfn_helper.py	citrix-openstack-build/heat-cfntools	8ef88a6e864fa49cdc6dda9b1c701a29e0557253	[ "Apache-2.0" ]	null	null	null	heat_cfntools/tests/test_cfn_helper.py	citrix-openstack-build/heat-cfntools	8ef88a6e864fa49cdc6dda9b1c701a29e0557253	[ "Apache-2.0" ]	null	null	null	# # Copyright 2013 Hewlett-Packard Development Company, L.P. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unle...	37.080398	77	0.574803	5,261	48,427	5.110815	0.089717	0.01562	0.018224	0.028117	0.819213	0.786968	0.74762	0.72683	0.708346	0.695701	0.011802	0.282611	48,427	1,305	78	37.108812	0.762154	0.036385	0.671815	0	0.007722	0.190949	0.0427	0	0	0	0.092664	1	0.062741	false	0.003861	0.009653	0.002896	0.084942	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
6e12bf3c6a96788f08fd718e490c142c0c3be633	1,259	py	Python	ffprobe/FFVideoFrame.py	ifij775/ffprobe-python	73868263717825b08345446f2dc90bc8011a7624	[ "MIT" ]	null	null	null	ffprobe/FFVideoFrame.py	ifij775/ffprobe-python	73868263717825b08345446f2dc90bc8011a7624	[ "MIT" ]	null	null	null	ffprobe/FFVideoFrame.py	ifij775/ffprobe-python	73868263717825b08345446f2dc90bc8011a7624	[ "MIT" ]	null	null	null	from ffprobe.FFFrame import FFFrame class FFVideoFrame(FFFrame): def width(self): return int(self._data['width']) def height(self): return int(self._data['height']) def frame_size(self): return (self.width(), self.height()) def pixel_format(self): return self._data['pix_...	34.972222	56	0.661636	162	1,259	4.839506	0.253086	0.204082	0.214286	0.252551	0.257653	0.086735	0.086735	0	0	0	0.003015	0.20969	1,259	35	57	35.971429	0.784925	0	0	0	0	0.158062	0.017474	0	0	0	0	1	0.470588	false	0	0.029412	0.470588	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	1	1	0	6
282e93476958c14847d0387442847c1084f198d0	10,691	py	Python	astm/tests/test_client.py	Iskander1b/python-astm	606a77407e59c2f2dd12d65a7b2d2e3c141ad8d9	[ "BSD-3-Clause" ]	38	2015-06-11T06:43:02.000Z	2022-03-01T18:21:07.000Z	astm/tests/test_client.py	Iskander1b/python-astm	606a77407e59c2f2dd12d65a7b2d2e3c141ad8d9	[ "BSD-3-Clause" ]	7	2016-08-12T10:16:34.000Z	2021-02-11T15:43:34.000Z	astm/tests/test_client.py	Iskander1b/python-astm	606a77407e59c2f2dd12d65a7b2d2e3c141ad8d9	[ "BSD-3-Clause" ]	39	2015-08-10T16:49:33.000Z	2021-12-26T10:27:07.000Z	# -- coding: utf-8 -- # # Copyright (C) 2012 Alexander Shorin # All rights reserved. # # This software is licensed as described in the file COPYING, which # you should have received as part of this distribution. # import unittest from astm import codec from astm import constants from astm.exceptions import NotAccept...	30.286119	69	0.55542	1,251	10,691	4.603517	0.138289	0.077791	0.085952	0.173468	0.76489	0.730682	0.717659	0.712971	0.693697	0.653238	0.026376	0.308484	10,691	352	70	30.372159	0.752604	0.018614	0.745033	0	0	0.041973	0.008013	0	0	0	0.241722	1	0.149007	false	0.006623	0.019868	0.003311	0.192053	0	0	0	0	null	0	0	1	0	1	1	1	0	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
9544ea04693dd462ba5326ad18ba1eb6b2058f6a	35,662	py	Python	tests/test_query.py	Yiling-J/pharos	a6dd80bd7c0475d78e6490735e3e5fd6eebc28c5	[ "BSD-3-Clause" ]	1	2021-12-03T16:28:41.000Z	2021-12-03T16:28:41.000Z	tests/test_query.py	Yiling-J/pharos	a6dd80bd7c0475d78e6490735e3e5fd6eebc28c5	[ "BSD-3-Clause" ]	14	2021-04-08T14:16:27.000Z	2021-05-24T15:15:11.000Z	tests/test_query.py	Yiling-J/pharos	a6dd80bd7c0475d78e6490735e3e5fd6eebc28c5	[ "BSD-3-Clause" ]	null	null	null	import yaml from unittest import TestCase, mock from jinja2 import PackageLoader, Environment, FileSystemLoader from kubernetes.dynamic import exceptions as api_exceptions from pharos import models, fields, exceptions, lookups, backend, jinja from pharos.jinja import to_yaml from pharos.backend import TemplateBackend ...	35.877264	103	0.51517	3,235	35,662	5.527975	0.070788	0.044903	0.037578	0.049432	0.812783	0.776939	0.745736	0.731701	0.710563	0.686126	0.010455	0.34827	35,662	993	104	35.913394	0.758971	0.003898	0.57461	0	0	0.144402	0.02379	0	0	0	0.053452	1	0.044543	false	0	0.007795	0.004454	0.091314	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
959f6e1cc40b940116e8a1e57c955d1368605067	58	py	Python	__init__.py	hoefkensj/reroot	890e6086272577d599ced9fe52ddac1bfce60d85	[ "Unlicense" ]	null	null	null	__init__.py	hoefkensj/reroot	890e6086272577d599ced9fe52ddac1bfce60d85	[ "Unlicense" ]	null	null	null	__init__.py	hoefkensj/reroot	890e6086272577d599ced9fe52ddac1bfce60d85	[ "Unlicense" ]	null	null	null	#!/usr/bin/env python from . import main from . import cfg	19.333333	21	0.724138	10	58	4.2	0.8	0.47619	0	0	0	0	0	0	0	0	0	0.155172	58	3	22	19.333333	0.857143	0.344828	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
252201a349373fe37cf0e804e0412ea1052bd627	236	py	Python	pages/urls.py	Louis86/ecommerce	d47f13bfe4772b33a9cb6b8ec08183525fc4655d	[ "MIT" ]	null	null	null	pages/urls.py	Louis86/ecommerce	d47f13bfe4772b33a9cb6b8ec08183525fc4655d	[ "MIT" ]	null	null	null	pages/urls.py	Louis86/ecommerce	d47f13bfe4772b33a9cb6b8ec08183525fc4655d	[ "MIT" ]	null	null	null	from django.urls import path from . import views #add parmelink urlpatterns = [ path('', views.index, name='index'), #path('', views.index, {'pagename':''}, name='home'), #path('<str:pagename>', views.index, name='index') ]	26.222222	57	0.631356	29	236	5.137931	0.482759	0.201342	0.187919	0.255034	0	0	0	0	0	0	0	0.152542	236	8	58	29.5	0.745	0.483051	0	0	0	0.042017	0	0	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	6
25457beb1e16b4da6d66c068294d2ffd7aad3767	16,530	py	Python	AuxillaryFunctions/GWASPlots.py	daverblair/CrypticPhenotypeAnalysisScripts	0d722f079549ac68b7863ac885f7295d236806b0	[ "MIT" ]	null	null	null	AuxillaryFunctions/GWASPlots.py	daverblair/CrypticPhenotypeAnalysisScripts	0d722f079549ac68b7863ac885f7295d236806b0	[ "MIT" ]	null	null	null	AuxillaryFunctions/GWASPlots.py	daverblair/CrypticPhenotypeAnalysisScripts	0d722f079549ac68b7863ac885f7295d236806b0	[ "MIT" ]	null	null	null	import pandas as pd import numpy as np from scipy.stats.mstats import mquantiles from scipy.stats import spearmanr,chi2,beta import matplotlib.pyplot as plt from matplotlib import cm import seaborn as sns sns.set(context='talk',color_codes=True,style='ticks',font='Arial',font_scale=2,rc={'axes.linewidth':5,"font.weigh...	54.554455	308	0.691773	2,768	16,530	3.873194	0.092486	0.040295	0.018468	0.013432	0.842925	0.819886	0.81373	0.808507	0.798246	0.794609	0.045375	0.133394	16,530	302	309	54.735099	0.703037	0.009316	0.69163	0	0	0.061317	0.001832	0	0	0	0.004405	1	0.017621	false	0	0.030837	0	0.070485	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
c2812c4acc0e3d78a5fbc26ae842cc83cc6fc435	40	py	Python	double_debias/__init__.py	joe5saia/double_debias	d01ad21c1c5ca9b3790cfb62f68657a7604768f4	[ "MIT" ]	3	2021-06-08T06:46:58.000Z	2022-02-26T13:34:47.000Z	double_debias/__init__.py	joe5saia/double_debias	d01ad21c1c5ca9b3790cfb62f68657a7604768f4	[ "MIT" ]	1	2020-12-01T13:09:39.000Z	2020-12-01T13:09:39.000Z	double_debias/__init__.py	joe5saia/double_debias	d01ad21c1c5ca9b3790cfb62f68657a7604768f4	[ "MIT" ]	1	2022-02-26T13:34:48.000Z	2022-02-26T13:34:48.000Z	from .double_debias import DoubleDebias	20	39	0.875	5	40	6.8	1	0	0	0	0	0	0	0	0	0	0	0.1	40	1	40	40	0.944444	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
c28deef028683bbb5f7d3760f80e67e0907a5c97	23,477	py	Python	ipychart/plots.py	nicohlr/ipychart	fab49fb798363e775c0ad2456f9d22ac0048d6fb	[ "MIT" ]	45	2020-08-05T19:32:13.000Z	2022-03-25T09:17:41.000Z	ipychart/plots.py	nicohlr/ipychart	fab49fb798363e775c0ad2456f9d22ac0048d6fb	[ "MIT" ]	3	2021-05-07T12:45:37.000Z	2022-01-21T20:58:37.000Z	ipychart/plots.py	nicohlr/ipychart	fab49fb798363e775c0ad2456f9d22ac0048d6fb	[ "MIT" ]	7	2020-08-29T02:56:03.000Z	2021-10-04T21:20:21.000Z	import pandas as pd import numpy as np from typing import Union from pandas.api.types import is_numeric_dtype from sklearn.neighbors import KernelDensity from sklearn.model_selection import GridSearchCV from .chart import Chart from .utils.plots_utils import (_create_chart_options, _cr...	29.309613	79	0.579802	2,822	23,477	4.750532	0.105599	0.06788	0.033418	0.028346	0.777711	0.758839	0.740489	0.726018	0.712517	0.707743	0.003019	0.336798	23,477	800	80	29.34625	0.857996	0.477957	0.736318	0	0.002488	0.053458	0.001853	0	0	0	0.004975	1	0.024876	false	0	0.019901	0	0.069652	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
c2f8a70ab8519221d14ff44835b8084e47d21ee7	283	py	Python	tests/__init__.py	alekLukanen/pyDist	ffb2c3feb20afba078fec7381c8785eb1e2b0543	[ "MIT" ]	5	2017-12-24T08:11:16.000Z	2019-02-07T22:13:26.000Z	tests/__init__.py	alekLukanen/pyDist	ffb2c3feb20afba078fec7381c8785eb1e2b0543	[ "MIT" ]	1	2021-06-01T23:17:31.000Z	2021-06-01T23:17:31.000Z	tests/__init__.py	alekLukanen/pyDist	ffb2c3feb20afba078fec7381c8785eb1e2b0543	[ "MIT" ]	null	null	null	import tests.test_clusterStructures import tests.test_basePackage import tests.test_nodeEndpoints print('(TEST DIR __INIT__.py) loaded the test functions into' 'the current namespace') print('+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+' '+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+')	28.3	62	0.568905	26	283	5.923077	0.615385	0.214286	0.292208	0	0	0	0	0	0	0	0	0.14841	283	9	63	31.444444	0.639004	0	0	0	0	0.498169	0.227106	0	0	0	0	1	0	true	0	0.428571	0	0.428571	0.285714	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	0	0	6
6c0fb0f7a3bb2112370a7551deae91b5e52d23b9	8,152	py	Python	test/api/test_resize.py	mrz1988/lilies	9525770fabab7e142ebedc40ab5d0c8027aa90ba	[ "MIT" ]	null	null	null	test/api/test_resize.py	mrz1988/lilies	9525770fabab7e142ebedc40ab5d0c8027aa90ba	[ "MIT" ]	51	2019-06-18T16:35:56.000Z	2021-02-23T00:32:23.000Z	test/api/test_resize.py	mrz1988/lilies	9525770fabab7e142ebedc40ab5d0c8027aa90ba	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- import os import unittest from lilies import wilt, resize from lilies.objects.lilyblock import LilyBlock class TestResize(unittest.TestCase): def setUp(self): self.strings = [ "hello", "dfDfEEFdfaC", "Mister John", ...	37.223744	79	0.529318	797	8,152	5.202008	0.138018	0.065123	0.097685	0.075977	0.853835	0.843946	0.84274	0.810178	0.785094	0.734443	0.014652	0.363714	8,152	218	80	37.394495	0.784654	0.02159	0.619048	0	0	0.189037	0.019318	0	0	0	0.121693	1	0.126984	false	0	0.021164	0	0.153439	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
dd25412f0d4b82222c1d80577095b8b5b8fa3a83	3,659	py	Python	tests/test_bootstrap_field_parameters.py	akx/django-bootstrap5	2fbe688c30061122e08981f65bf87ec35fcf28ad	[ "BSD-3-Clause" ]	118	2021-03-15T14:01:49.000Z	2022-03-29T06:40:46.000Z	tests/test_bootstrap_field_parameters.py	akx/django-bootstrap5	2fbe688c30061122e08981f65bf87ec35fcf28ad	[ "BSD-3-Clause" ]	97	2021-03-19T05:44:28.000Z	2022-03-31T09:05:29.000Z	tests/test_bootstrap_field_parameters.py	akx/django-bootstrap5	2fbe688c30061122e08981f65bf87ec35fcf28ad	[ "BSD-3-Clause" ]	33	2021-03-22T14:45:08.000Z	2022-02-23T18:12:23.000Z	from django import forms from tests.base import BootstrapTestCase class CharFieldTestForm(forms.Form): test = forms.CharField() class BootstrapFieldParameterTestCase(BootstrapTestCase): """Test `bootstrap_field` parameters`.""" def test_wrapper_class(self): """Test field with default CharField...	38.925532	119	0.537032	365	3,659	5.271233	0.131507	0.043659	0.08368	0.105509	0.890333	0.887214	0.887214	0.887214	0.865385	0.862266	0.005913	0.306641	3,659	93	120	39.344086	0.752464	0.032523	0.567568	0	0.094595	0.5	0.143019	0	0	0	0.094595	1	0.027027	false	0	0.027027	0	0.094595	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
dd44ea40086f4538136724946734eeeeabbb5c69	27	py	Python	api/tasks/__init__.py	C-Canchola/texel	9ebb12cf38b78608394f44767f55236845f0f9bc	[ "MIT" ]	null	null	null	api/tasks/__init__.py	C-Canchola/texel	9ebb12cf38b78608394f44767f55236845f0f9bc	[ "MIT" ]	null	null	null	api/tasks/__init__.py	C-Canchola/texel	9ebb12cf38b78608394f44767f55236845f0f9bc	[ "MIT" ]	null	null	null	from . import task_manager	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	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
06d5871238bbd12943d1289a2c8967575b92cdbb	43	py	Python	run.py	williamjacksn/inventory	1422307b12db671c73b8bf43193151b3c19df9ee	[ "MIT" ]	3	2017-11-26T17:04:46.000Z	2020-08-05T23:57:07.000Z	run.py	williamjacksn/inventory	1422307b12db671c73b8bf43193151b3c19df9ee	[ "MIT" ]	17	2019-12-22T14:38:18.000Z	2022-03-25T23:01:49.000Z	run.py	williamjacksn/inventory	1422307b12db671c73b8bf43193151b3c19df9ee	[ "MIT" ]	1	2019-09-09T09:48:39.000Z	2019-09-09T09:48:39.000Z	import inventory.app inventory.app.main()	10.75	20	0.790698	6	43	5.666667	0.666667	0.705882	0	0	0	0	0	0	0	0	0	0.093023	43	3	21	14.333333	0.871795	0	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	0	0	0	null	0	0	0	0	0	0	1	0	1	0	0	0	6
06fa3683acad0246167de299a7577258d9b3f919	119	py	Python	rascil/processing_components/util/__init__.py	SKA-ScienceDataProcessor/rascil	bd3b47f779e18e184781e2928ad1539d1fdc1c9b	[ "Apache-2.0" ]	7	2019-12-14T13:42:33.000Z	2022-01-28T03:31:45.000Z	rascil/processing_components/util/__init__.py	SKA-ScienceDataProcessor/rascil	bd3b47f779e18e184781e2928ad1539d1fdc1c9b	[ "Apache-2.0" ]	6	2020-01-08T09:40:08.000Z	2020-06-11T14:56:13.000Z	rascil/processing_components/util/__init__.py	SKA-ScienceDataProcessor/rascil	bd3b47f779e18e184781e2928ad1539d1fdc1c9b	[ "Apache-2.0" ]	3	2020-01-14T11:14:16.000Z	2020-09-15T05:21:06.000Z	from .array_functions import * from .compass_bearing import * from .coordinate_support import * from .sizeof import *	19.833333	33	0.789916	15	119	6.066667	0.6	0.32967	0	0	0	0	0	0	0	0	0	0.142857	119	5	34	23.8	0.892157	0	0	0	0	0	0	0	0	0	0	1	0	true	0.25	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	1	0	0	0	6
660eab63eb3ca2052064ee9c7ef03b71f457fa7e	2,361	py	Python	PyBank/main.py	erictonian/python-challenge	04318a90e619f5944792672d2587d2f211367dda	[ "MIT" ]	null	null	null	PyBank/main.py	erictonian/python-challenge	04318a90e619f5944792672d2587d2f211367dda	[ "MIT" ]	null	null	null	PyBank/main.py	erictonian/python-challenge	04318a90e619f5944792672d2587d2f211367dda	[ "MIT" ]	null	null	null	import csv pybank = "budget_data.csv" with open(pybank, 'r') as csvfile: csvreader = csv.reader(csvfile, delimiter=',') for row in csvreader: count = sum(1 for row in csvreader) with open(pybank, 'r') as csvfile: csvreader = csv.reader(csvfile, delimiter=',') for row in csvreader: ...	34.217391	80	0.643795	362	2,361	4.118785	0.157459	0.056338	0.075117	0.159624	0.834339	0.816231	0.792757	0.702884	0.702884	0.702884	0.017143	0.184668	2,361	69	81	34.217391	0.757403	0	0.54386	0	0	0.232007	0	0	0	0	0	1	0	false	0	0.017544	0	0.017544	0.087719	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
661bc7e21529e78baaf002daea130f0c9404d9d0	139	py	Python	data_construction_allInOne/error.py	DiracSea/multi_linear_regression	ab047c2c0769e0389c5e01719f1afbc1db70beb0	[ "MIT" ]	null	null	null	data_construction_allInOne/error.py	DiracSea/multi_linear_regression	ab047c2c0769e0389c5e01719f1afbc1db70beb0	[ "MIT" ]	null	null	null	data_construction_allInOne/error.py	DiracSea/multi_linear_regression	ab047c2c0769e0389c5e01719f1afbc1db70beb0	[ "MIT" ]	null	null	null	class EmptyRainfallError(ValueError): pass class EmptyWaterlevelError(ValueError): pass class NoMethodError(ValueError): pass	17.375	39	0.776978	12	139	9	0.5	0.388889	0.351852	0	0	0	0	0	0	0	0	0.158273	139	8	40	17.375	0.923077	0	0.5	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	0	0	0	0	6
b0758f8598d3ea2a1e90c9b938da03feb778cbd6	122	py	Python	data/hospital_level/raw/DH_hospital/download.py	666Chao666/covid19-severity-prediction	f7ef4ea5f3109fdb4246d2bf90d07fbf048d3706	[ "MIT" ]	2	2020-05-15T14:42:02.000Z	2020-05-22T08:51:47.000Z	data_new/hospital_level/raw/DH_hospital/download.py	rahul263-stack/covid19-severity-prediction	f581adb2fccb12d5ab3f3c59ee120f484703edf5	[ "MIT" ]	null	null	null	data_new/hospital_level/raw/DH_hospital/download.py	rahul263-stack/covid19-severity-prediction	f581adb2fccb12d5ab3f3c59ee120f484703edf5	[ "MIT" ]	null	null	null	#!/usr/bin/python3 import os os.system('wget https://data.medicare.gov/api/views/xubh-q36u/rows.csv -O DH_hospital.csv')	24.4	91	0.745902	22	122	4.090909	0.909091	0	0	0	0	0	0	0	0	0	0.026316	0.065574	122	4	92	30.5	0.763158	0.139344	0	0	0.5	0.75	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	1	0	1	0	0	0	6
b090c6ef25b52c5b25c8e27f639cfd5284798c8e	37,258	py	Python	keras_contrib/applications/fully_convolutional_networks.py	ahundt/keras-contrib	65ade7af19c86f4b9888acfd2ed31245f4f5c770	[ "MIT" ]	7	2017-07-22T09:05:44.000Z	2019-04-30T02:08:04.000Z	keras_contrib/applications/fully_convolutional_networks.py	ahundt/keras-contrib	65ade7af19c86f4b9888acfd2ed31245f4f5c770	[ "MIT" ]	1	2017-12-26T02:59:59.000Z	2017-12-26T02:59:59.000Z	keras_contrib/applications/fully_convolutional_networks.py	ahundt/keras-contrib	65ade7af19c86f4b9888acfd2ed31245f4f5c770	[ "MIT" ]	11	2017-07-06T14:11:51.000Z	2021-08-21T23:18:20.000Z	""" Fully Convolutional Networks Based on the paper: - [Fully Convolutional Networks for Semantic Segmentation](https://arxiv.org/abs/1605.06211) Implementation adapted from [Keras-FCN](https://github.com/aurora95/Keras-FCN). """ import numpy as np import matplotlib.pyplot as plt import os import sys from keras ...	46.983607	178	0.614982	5,005	37,258	4.354246	0.06993	0.00982	0.047079	0.059652	0.852934	0.83793	0.819208	0.812279	0.803653	0.798559	0.04587	0.25981	37,258	792	179	47.042929	0.744361	0.108916	0.650086	0	0.003431	0.06884	0.014193	0	0	0.002525	0.001715	1	0.058319	false	0	0.02916	0	0.152659	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
b0b3b1f8b04c735b0ed907a626e9ffae49327bbb	25	py	Python	robit/__init__.py	ToxicFrazzles/robit	5f727b9f191e06fe51e78a8eb75a65b94a571202	[ "MIT" ]	null	null	null	robit/__init__.py	ToxicFrazzles/robit	5f727b9f191e06fe51e78a8eb75a65b94a571202	[ "MIT" ]	null	null	null	robit/__init__.py	ToxicFrazzles/robit	5f727b9f191e06fe51e78a8eb75a65b94a571202	[ "MIT" ]	null	null	null	from .robit import Robit	12.5	24	0.8	4	25	5	0.75	0	0	0	0	0	0	0	0	0	0	0.16	25	1	25	25	0.952381	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
b0e307cff66013a1b05ffa1a1b6b91ea97568b4f	89	py	Python	src/API/__init__.py	Public-Health-Bioinformatics/sequdas-upload	a22f090f9cd3b5ecfe0bae487016622b9b80651d	[ "MIT" ]	9	2015-11-24T21:51:42.000Z	2020-10-21T20:16:24.000Z	src/API/__init__.py	Public-Health-Bioinformatics/sequdas-upload	a22f090f9cd3b5ecfe0bae487016622b9b80651d	[ "MIT" ]	6	2016-09-13T20:38:57.000Z	2019-02-21T18:31:22.000Z	src/API/__init__.py	Public-Health-Bioinformatics/sequdas-upload	a22f090f9cd3b5ecfe0bae487016622b9b80651d	[ "MIT" ]	1	2018-10-07T00:55:43.000Z	2018-10-07T00:55:43.000Z	from apiCalls import ApiCalls from config import read_config_option, write_config_option	29.666667	58	0.88764	13	89	5.769231	0.538462	0.32	0	0	0	0	0	0	0	0	0	0.101124	89	2	59	44.5	0.9375	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
b0fd004ad59e87a6ebd6c31a0a7a047d92874206	8,478	py	Python	tests/test_buildmaps.py	LSSTDESC/healsparse	f6b15f570ab6335328e34006f69c3919d9fcf1c8	[ "BSD-3-Clause" ]	8	2019-05-06T11:42:41.000Z	2021-10-08T14:57:12.000Z	tests/test_buildmaps.py	LSSTDESC/healsparse	f6b15f570ab6335328e34006f69c3919d9fcf1c8	[ "BSD-3-Clause" ]	75	2019-03-01T23:25:26.000Z	2022-01-29T21:40:27.000Z	tests/test_buildmaps.py	LSSTDESC/healsparse	f6b15f570ab6335328e34006f69c3919d9fcf1c8	[ "BSD-3-Clause" ]	3	2020-01-30T19:10:19.000Z	2022-03-08T14:57:38.000Z	from __future__ import division, absolute_import, print_function import unittest import numpy.testing as testing import numpy as np import healpy as hp from numpy import random import healsparse class BuildMapsTestCase(unittest.TestCase): def test_build_maps_single(self): """ Test building a map...	45.827027	106	0.67858	1,092	8,478	4.994505	0.132784	0.09736	0.10396	0.087092	0.845251	0.839384	0.828933	0.79703	0.706637	0.695086	0.035741	0.224463	8,478	184	107	46.076087	0.793764	0.075607	0.627907	0	0	0.014405	0	0	0	0	0.356589	1	0.015504	false	0	0.054264	0	0.077519	0.007752	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
b0233970b3c27cfa9c2c7592b2e023a2a52b57ce	135	py	Python	src/modules/__init__.py	Nobregaigor/Optical-Mark-Registration-PDF-Reader	0c6d8d652fa4e52d04098787c022b7235cd2b8ac	[ "MIT" ]	null	null	null	src/modules/__init__.py	Nobregaigor/Optical-Mark-Registration-PDF-Reader	0c6d8d652fa4e52d04098787c022b7235cd2b8ac	[ "MIT" ]	null	null	null	src/modules/__init__.py	Nobregaigor/Optical-Mark-Registration-PDF-Reader	0c6d8d652fa4e52d04098787c022b7235cd2b8ac	[ "MIT" ]	null	null	null	from .check_unumber import * from .check_email import * from .rename_pdfs import * from .test_email import * from .send_emails import *	27	28	0.785185	20	135	5.05	0.5	0.39604	0.29703	0	0	0	0	0	0	0	0	0.140741	135	5	29	27	0.87069	0	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	0	0	0	null	0	0	0	0	0	0	1	0	1	0	0	0	6
c65d1896c0352cbebf8019534651e9a56036fa8e	504	py	Python	espnet2/gan_tts/hifigan/__init__.py	texpomru13/espnet	7ef005e832e2fb033f356c16f54e0f08762fb4b0	[ "Apache-2.0" ]	5,053	2017-12-13T06:21:41.000Z	2022-03-31T13:38:29.000Z	espnet2/gan_tts/hifigan/__init__.py	texpomru13/espnet	7ef005e832e2fb033f356c16f54e0f08762fb4b0	[ "Apache-2.0" ]	3,666	2017-12-14T05:58:50.000Z	2022-03-31T22:11:49.000Z	espnet2/gan_tts/hifigan/__init__.py	texpomru13/espnet	7ef005e832e2fb033f356c16f54e0f08762fb4b0	[ "Apache-2.0" ]	1,709	2017-12-13T01:02:42.000Z	2022-03-31T11:57:45.000Z	from espnet2.gan_tts.hifigan.hifigan import HiFiGANGenerator # NOQA from espnet2.gan_tts.hifigan.hifigan import HiFiGANMultiPeriodDiscriminator # NOQA from espnet2.gan_tts.hifigan.hifigan import HiFiGANMultiScaleDiscriminator # NOQA from espnet2.gan_tts.hifigan.hifigan import ( # NOQA HiFiGANMultiScaleMultiPeri...	56	83	0.843254	55	504	7.618182	0.236364	0.157518	0.200477	0.243437	0.577566	0.577566	0.577566	0.48926	0	0	0.013245	0.10119	504	8	84	63	0.9117	0.06746	0	0	0	0	0	0	0	0	0	1	0	true	0	0.75	0	0.75	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
c6a23b3dd64ffdfe9143394f3d5d5ef32284969e	1,022	py	Python	tests/test_permission.py	dmelo/Flask-ACL	7339b89f96ad8686d1526e25c138244ad912e12d	[ "BSD-3-Clause" ]	25	2015-02-06T20:00:16.000Z	2022-03-17T15:59:47.000Z	tests/test_permission.py	dmelo/Flask-ACL	7339b89f96ad8686d1526e25c138244ad912e12d	[ "BSD-3-Clause" ]	2	2015-03-30T06:03:27.000Z	2018-01-05T17:03:12.000Z	tests/test_permission.py	dmelo/Flask-ACL	7339b89f96ad8686d1526e25c138244ad912e12d	[ "BSD-3-Clause" ]	17	2015-03-20T19:48:58.000Z	2020-03-29T15:47:42.000Z	from . import * from flask_acl.permission import is_permission_in_set class TestPermissions(TestCase): def test_strings(self): self.assertTrue(is_permission_in_set('xxx', 'xxx')) self.assertFalse(is_permission_in_set('xxx', 'axxx')) self.assertFalse(is_permission_in_set('xxx', 'xxxb')) ...	40.88	76	0.655577	143	1,022	4.384615	0.195804	0.248804	0.290271	0.352472	0.76236	0.76236	0.76236	0.614035	0.54067	0.452951	0	0.169276	1,022	24	77	42.583333	0.738516	0	0	0	0	0.068493	0	0	0	0	0.666667	1	0.166667	false	0	0.111111	0	0.333333	0	0	0	0	null	1	1	1	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	0	0	0	0	0	6
c6a51c5697d169beff79ebf57f4064354d0ce4ea	28	py	Python	example/boot.py	jdtsmith/autoftp	5d06749ba6132f64cbb2231334553ea17c814f41	[ "MIT" ]	1	2021-03-14T03:12:12.000Z	2021-03-14T03:12:12.000Z	example/boot.py	jdtsmith/autoftp	5d06749ba6132f64cbb2231334553ea17c814f41	[ "MIT" ]	null	null	null	example/boot.py	jdtsmith/autoftp	5d06749ba6132f64cbb2231334553ea17c814f41	[ "MIT" ]	null	null	null	print("MyModule Starting!")	14	27	0.75	3	28	7	1	0	0	0	0	0	0	0	0	0	0	0.071429	28	1	28	28	0.807692	0	0	0	0	0.642857	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	1	0	0	0	0	1	6
c6b05e8ef9e2ab103120c4a9405847a2dc073555	39	py	Python	tests/environment_tests/dataset_handler/__init__.py	doslindos/ml_crapwrap	f9daa2904234492921c6c344bfcd24992e2ff421	[ "MIT" ]	null	null	null	tests/environment_tests/dataset_handler/__init__.py	doslindos/ml_crapwrap	f9daa2904234492921c6c344bfcd24992e2ff421	[ "MIT" ]	null	null	null	tests/environment_tests/dataset_handler/__init__.py	doslindos/ml_crapwrap	f9daa2904234492921c6c344bfcd24992e2ff421	[ "MIT" ]	null	null	null	from .util import DatasetHandlerTester	19.5	38	0.871795	4	39	8.5	1	0	0	0	0	0	0	0	0	0	0	0.102564	39	1	39	39	0.971429	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
05b50cf561283569860addc2e70867e8bb843ad7	122	py	Python	src/dlqmc/tools.py	noegroup/dlqmc-project	ed7561ec0156df6d6309e49c1276646173ec8641	[ "MIT" ]	3	2020-12-22T16:26:36.000Z	2021-08-11T16:54:46.000Z	src/dlqmc/tools.py	noegroup/dlqmc-project	ed7561ec0156df6d6309e49c1276646173ec8641	[ "MIT" ]	5	2020-07-26T23:13:16.000Z	2020-07-26T23:13:45.000Z	src/dlqmc/tools.py	noegroup/dlqmc-project	ed7561ec0156df6d6309e49c1276646173ec8641	[ "MIT" ]	1	2021-06-18T05:00:39.000Z	2021-06-18T05:00:39.000Z	import uncertainties def short_fmt(x): return f'{x:S}' if isinstance(x, uncertainties.core.AffineScalarFunc) else x	20.333333	80	0.754098	18	122	5.055556	0.777778	0	0	0	0	0	0	0	0	0	0	0.139344	122	5	81	24.4	0.866667	0	0	0	0	0.040984	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	1	1	1	0	6
05cae0dbf5c34f27a96d0017a1f5a55c10de89ff	74	py	Python	besspin/cyberPhys/cyberphyslib/cyberphyslib/canlib/__init__.py	mikkowus/BESSPIN-Tool-Suite	e87e9abb1156a8627aacc3272f1925b034129146	[ "Apache-2.0" ]	null	null	null	besspin/cyberPhys/cyberphyslib/cyberphyslib/canlib/__init__.py	mikkowus/BESSPIN-Tool-Suite	e87e9abb1156a8627aacc3272f1925b034129146	[ "Apache-2.0" ]	null	null	null	besspin/cyberPhys/cyberphyslib/cyberphyslib/canlib/__init__.py	mikkowus/BESSPIN-Tool-Suite	e87e9abb1156a8627aacc3272f1925b034129146	[ "Apache-2.0" ]	null	null	null	from .canlib import * from .canspecs import * from .componentids import *	18.5	27	0.756757	9	74	6.222222	0.555556	0.357143	0	0	0	0	0	0	0	0	0	0.162162	74	3	28	24.666667	0.903226	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
05f416b3b4673cf189674c943bdc0c5032d17a65	25,179	py	Python	tests/test_time.py	colinahill/terrapyn	77a2bba2b6365d289d894f0aa722880ae36c52bd	[ "BSD-3-Clause" ]	null	null	null	tests/test_time.py	colinahill/terrapyn	77a2bba2b6365d289d894f0aa722880ae36c52bd	[ "BSD-3-Clause" ]	null	null	null	tests/test_time.py	colinahill/terrapyn	77a2bba2b6365d289d894f0aa722880ae36c52bd	[ "BSD-3-Clause" ]	null	null	null	import datetime as dt import unittest import zoneinfo from pathlib import Path import numpy as np import pandas as pd import pytest import xarray as xr from freezegun import freeze_time import terrapyn as tp PACKAGE_ROOT_DIR = Path(__file__).resolve().parent.parent TEST_DATA_PATH = PACKAGE_ROOT_DIR / "tests" / "data...	43.262887	120	0.663092	3,646	25,179	4.370817	0.085573	0.042169	0.044428	0.058233	0.803715	0.770833	0.746925	0.702372	0.664157	0.612575	0.075769	0.184916	25,179	581	121	43.337349	0.700726	0	0.364045	0	0.002247	0.070535	0.005004	0	0	0	0.226966	1	0.220225	false	0	0.022472	0	0.314607	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	0	6
05f9dbcdf439cc82456bb49424264d138e6ec2cf	20,660	py	Python	scoreprobability/crawl.py	htpauleta/ScoreProbability	eae1d76e3607bb4cb19eff6a7ad72d5b2c20f4f7	[ "Apache-2.0" ]	7	2018-12-29T06:39:28.000Z	2021-10-12T01:42:37.000Z	scoreprobability/crawl.py	htpauleta/ScoreProbability	eae1d76e3607bb4cb19eff6a7ad72d5b2c20f4f7	[ "Apache-2.0" ]	2	2021-03-31T18:56:32.000Z	2021-06-01T23:30:22.000Z	scoreprobability/crawl.py	htpauleta/ScoreProbability	eae1d76e3607bb4cb19eff6a7ad72d5b2c20f4f7	[ "Apache-2.0" ]	null	null	null	""" @Project : ScoreProbability @Module : crawl.py @Author : HjwGivenLyy [1752929469@qq.com] @Created : 12/17/18 4:54 PM @Desc : crawl data from qtw net """ import datetime import re import loguru import requests import yaml from bs4 import BeautifulSoup from pymongo import MongoClient from base impor...	37.225225	79	0.512391	2,302	20,660	4.31364	0.124674	0.062437	0.038268	0.016918	0.808258	0.802719	0.774824	0.757402	0.703021	0.667271	0.034554	0.366844	20,660	554	80	37.292419	0.724562	0.046515	0.63109	0	0.00464	0.182214	0.022207	0	0	0	0	1	0.032483	false	0	0.018561	0	0.081207	0.00464	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
af2b91feb5701de094d9cc85ec6cd74a6e2eb062	56	py	Python	mcunet/tinynas/elastic_nn/modules/__init__.py	1999michael/tinyml	e8a5c9baef3d8a4890bb7ddbed4f5655cb4fa535	[ "MIT" ]	306	2021-01-15T07:49:40.000Z	2022-03-31T03:13:20.000Z	tinynas/elastic_nn/modules/__init__.py	liuyy3364/mcunet	f53f9e20e8e912bdb111b4c32da75e71e9a59597	[ "Apache-2.0" ]	9	2021-02-04T00:58:33.000Z	2022-03-29T06:19:55.000Z	tinynas/elastic_nn/modules/__init__.py	liuyy3364/mcunet	f53f9e20e8e912bdb111b4c32da75e71e9a59597	[ "Apache-2.0" ]	65	2021-01-18T06:06:09.000Z	2022-03-25T01:42:15.000Z	from .dynamic_layers import * from .dynamic_op import *	18.666667	29	0.785714	8	56	5.25	0.625	0.52381	0	0	0	0	0	0	0	0	0	0.142857	56	2	30	28	0.875	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
af4f1f9be162bc1f3cd196c4f0cf856e79bcf19d	7,662	py	Python	SZR/apps/groups/tests/test_tasks.py	Alek96/SZR	6c736cded0c6de88b6e4fc5a207273ec1024365b	[ "MIT" ]	1	2019-04-04T17:02:24.000Z	2019-04-04T17:02:24.000Z	SZR/apps/groups/tests/test_tasks.py	Alek96/SZR	6c736cded0c6de88b6e4fc5a207273ec1024365b	[ "MIT" ]	1	2019-03-30T13:32:14.000Z	2019-03-30T13:32:14.000Z	SZR/apps/groups/tests/test_tasks.py	Alek96/SZR	6c736cded0c6de88b6e4fc5a207273ec1024365b	[ "MIT" ]	null	null	null	import json from GitLabApi import mock_all_gitlab_url from GitLabApi.MockUrls import mock_all_urls_and_raise_error from GitLabApi.exceptions import GitlabGetError from core.models import GitlabUser from core.tests.test_view import LoginMethods from groups import tasks from groups.tests.models import AddMemberCreateMet...	37.194175	121	0.663534	888	7,662	5.367117	0.113739	0.063785	0.103651	0.036928	0.844524	0.841167	0.81347	0.811162	0.80256	0.789971	0.002958	0.249804	7,662	205	122	37.37561	0.8262	0	0.68323	0	0	0.014096	0	0	0	0	0.118012	1	0.099379	false	0	0.080745	0.018634	0.236025	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
af52cb7f5173a99cc3a216bec32ed523f43d8f2e	219	py	Python	angr/engines/soot/exceptions.py	Kyle-Kyle/angr	345b2131a7a67e3a6ffc7d9fd475146a3e12f837	[ "BSD-2-Clause" ]	6,132	2015-08-06T23:24:47.000Z	2022-03-31T21:49:34.000Z	angr/engines/soot/exceptions.py	Kyle-Kyle/angr	345b2131a7a67e3a6ffc7d9fd475146a3e12f837	[ "BSD-2-Clause" ]	2,272	2015-08-10T08:40:07.000Z	2022-03-31T23:46:44.000Z	angr/engines/soot/exceptions.py	Kyle-Kyle/angr	345b2131a7a67e3a6ffc7d9fd475146a3e12f837	[ "BSD-2-Clause" ]	1,155	2015-08-06T23:37:39.000Z	2022-03-31T05:54:11.000Z	class BlockTerminationNotice(Exception): pass class IncorrectLocationException(Exception): pass class SootMethodNotLoadedException(Exception): pass class SootFieldNotLoadedException(Exception): pass	16.846154	46	0.799087	16	219	10.9375	0.4375	0.297143	0.308571	0	0	0	0	0	0	0	0	0.146119	219	12	47	18.25	0.935829	0	0.5	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	1	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	0	0	0	0	6
af6d63ddb4db62f035b31c6a5fd6f0572098d530	357	py	Python	synthesis/__init__.py	kunheek/style-aware-discriminator	d6ddd7c735d6c162f2a3c942d5cba1e0457f8c39	[ "MIT" ]	21	2022-03-30T06:58:50.000Z	2022-03-31T16:38:48.000Z	synthesis/__init__.py	kunheek/style-aware-discriminator	d6ddd7c735d6c162f2a3c942d5cba1e0457f8c39	[ "MIT" ]	null	null	null	synthesis/__init__.py	kunheek/style-aware-discriminator	d6ddd7c735d6c162f2a3c942d5cba1e0457f8c39	[ "MIT" ]	null	null	null	from .base_synthesizer import BaseSynthesizer from .interpolation_synthesizer import InterpolationSynthesizer from .local_translation_synthesizer import LocalTranslationSynthesizer from .prototype_synthesizer import PrototypeSynthesizer from .swap_synthesizer import SwapSynthesizer from .transplantation_synthesize...	51	71	0.89916	31	357	10.129032	0.516129	0.324841	0	0	0	0	0	0	0	0	0	0.084034	357	6	72	59.5	0.960245	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	1	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
afd216efcec70b183f2a5f6a0f3fa85787c79bbb	57	py	Python	main.py	theexplorerdude/Password-manager	0743c9e9e29d1034e554fd69267ae95cd5ba2317	[ "MIT" ]	null	null	null	main.py	theexplorerdude/Password-manager	0743c9e9e29d1034e554fd69267ae95cd5ba2317	[ "MIT" ]	null	null	null	main.py	theexplorerdude/Password-manager	0743c9e9e29d1034e554fd69267ae95cd5ba2317	[ "MIT" ]	null	null	null	print("its the first commit of simple password manager")	28.5	56	0.789474	9	57	5	1	0	0	0	0	0	0	0	0	0	0	0.140351	57	1	57	57	0.918367	0	0	0	0	0.824561	0	0	0	0	0	1	0	true	1	0	0	0	1	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	1	1	0	0	0	1	6
bb816d1f987a0a364530c5c9df802d502b830786	37	py	Python	vulnapp/crawler/models/__init__.py	Fufuhu/VulnAppSample	d6a9ab667b2b5628a649d57cd97b1979bdd986f8	[ "Apache-2.0" ]	1	2021-09-06T07:07:47.000Z	2021-09-06T07:07:47.000Z	vulnapp/crawler/models/__init__.py	Fufuhu/VulnAppSample	d6a9ab667b2b5628a649d57cd97b1979bdd986f8	[ "Apache-2.0" ]	null	null	null	vulnapp/crawler/models/__init__.py	Fufuhu/VulnAppSample	d6a9ab667b2b5628a649d57cd97b1979bdd986f8	[ "Apache-2.0" ]	null	null	null	from .crawled_page import CrawledPage	37	37	0.891892	5	37	6.4	1	0	0	0	0	0	0	0	0	0	0	0.081081	37	1	37	37	0.941176	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
a59c64d642d602351d197587631217f0b410910b	207	py	Python	juon/errors/missing_dependency_error.py	joocer/seren	1563f84015b3460d766c71fbe108f17bc2b72181	[ "Apache-2.0" ]	null	null	null	juon/errors/missing_dependency_error.py	joocer/seren	1563f84015b3460d766c71fbe108f17bc2b72181	[ "Apache-2.0" ]	287	2021-05-14T21:25:26.000Z	2022-03-30T12:02:51.000Z	juon/errors/missing_dependency_error.py	joocer/juon	1563f84015b3460d766c71fbe108f17bc2b72181	[ "Apache-2.0" ]	1	2021-04-29T18:18:20.000Z	2021-04-29T18:18:20.000Z	# nodoc - don't add to the documentation wiki """ This exception should be used when a lazy import fails """ from .base_exception import BaseException class MissingDependencyError(BaseException): pass	20.7	54	0.772947	27	207	5.888889	0.888889	0	0	0	0	0	0	0	0	0	0	0.164251	207	9	55	23	0.919075	0.478261	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	0	0	0	null	0	0	0	0	0	0	1	1	1	0	1	0	6
a5a488f8bbeb1fe0b5ec321de21c13f59115e9d6	40	py	Python	env/lib/python3.8/site-packages/plotly/graph_objs/layout/template/data/_indicator.py	acrucetta/Chicago_COVI_WebApp	a37c9f492a20dcd625f8647067394617988de913	[ "MIT", "Unlicense" ]	11,750	2015-10-12T07:03:39.000Z	2022-03-31T20:43:15.000Z	env/lib/python3.8/site-packages/plotly/graph_objs/layout/template/data/_indicator.py	acrucetta/Chicago_COVI_WebApp	a37c9f492a20dcd625f8647067394617988de913	[ "MIT", "Unlicense" ]	2,951	2015-10-12T00:41:25.000Z	2022-03-31T22:19:26.000Z	env/lib/python3.8/site-packages/plotly/graph_objs/layout/template/data/_indicator.py	acrucetta/Chicago_COVI_WebApp	a37c9f492a20dcd625f8647067394617988de913	[ "MIT", "Unlicense" ]	2,623	2015-10-15T14:40:27.000Z	2022-03-28T16:05:50.000Z	from plotly.graph_objs import Indicator	20	39	0.875	6	40	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.1	40	1	40	40	0.944444	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
36fd90f74793e87abdc3f8fbbf7152a9ff72d737	257	py	Python	catnip/forms.py	ObjectifLibre/catnip	5d89c92de0396b1e912bb498af88687dd046718d	[ "Apache-2.0" ]	2	2020-03-13T12:45:10.000Z	2020-04-01T12:04:49.000Z	catnip/forms.py	ObjectifLibre/catnip	5d89c92de0396b1e912bb498af88687dd046718d	[ "Apache-2.0" ]	1	2020-07-24T21:54:08.000Z	2020-07-24T21:54:08.000Z	catnip/forms.py	ObjectifLibre/catnip	5d89c92de0396b1e912bb498af88687dd046718d	[ "Apache-2.0" ]	1	2020-05-11T19:19:12.000Z	2020-05-11T19:19:12.000Z	from django import forms class AuthForm(forms.Form): domain = forms.CharField(label='Your domain', max_length=250) username = forms.CharField(label='Your name', max_length=250) password = forms.CharField(label='Your password', max_length=250)	32.125	69	0.743191	35	257	5.371429	0.485714	0.223404	0.303191	0.367021	0	0	0	0	0	0	0.040541	0.136187	257	7	70	36.714286	0.806306	0	0	0	0	0.128405	0	0	0	0	0	1	0	false	0.2	0.2	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	1	0	6
b1c430b5f856c375fc892fb7876debb5dee14d60	149	py	Python	office365/teams/schedulingGroup.py	wreiner/Office365-REST-Python-Client	476bbce4f5928a140b4f5d33475d0ac9b0783530	[ "MIT" ]	null	null	null	office365/teams/schedulingGroup.py	wreiner/Office365-REST-Python-Client	476bbce4f5928a140b4f5d33475d0ac9b0783530	[ "MIT" ]	null	null	null	office365/teams/schedulingGroup.py	wreiner/Office365-REST-Python-Client	476bbce4f5928a140b4f5d33475d0ac9b0783530	[ "MIT" ]	null	null	null	from office365.entity import Entity class SchedulingGroup(Entity): """A logical grouping of users in a schedule (usually by role).""" pass	21.285714	70	0.724832	20	149	5.4	0.85	0	0	0	0	0	0	0	0	0	0.024793	0.187919	149	6	71	24.833333	0.867769	0.402685	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	0	0	0	null	0	0	0	0	0	0	1	1	1	0	1	0	6
b1cc2ef42369ef8954e94c6f25717ef123a02305	29	py	Python	coincap/__init__.py	nlnsaoadc/py-coincap	d70718744593d97655c09db897fbdedf315dc432	[ "MIT" ]	null	null	null	coincap/__init__.py	nlnsaoadc/py-coincap	d70718744593d97655c09db897fbdedf315dc432	[ "MIT" ]	null	null	null	coincap/__init__.py	nlnsaoadc/py-coincap	d70718744593d97655c09db897fbdedf315dc432	[ "MIT" ]	null	null	null	from .coincap import CoinCap	14.5	28	0.827586	4	29	6	0.75	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.96	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
593ee71ed69d6ba6dbd4ae036c4b4272d4bf81d5	153,066	py	Python	pointCollection/CS2_wfm/data.py	tsutterley/pointCollection	04e4359e463ff8a556e0d078373578bd96390151	[ "MIT" ]	null	null	null	pointCollection/CS2_wfm/data.py	tsutterley/pointCollection	04e4359e463ff8a556e0d078373578bd96390151	[ "MIT" ]	null	null	null	pointCollection/CS2_wfm/data.py	tsutterley/pointCollection	04e4359e463ff8a556e0d078373578bd96390151	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- """ Created on Wed Feb 12 2020 Class to read and manipulate CryoSat-2 waveform data Reads CryoSat Level-1b data products from baselines A, B and C Reads CryoSat Level-1b netCDF4 data products from baseline D Supported CryoSat Modes: LRM, SAR, SARin, FDM, SID, GDR INPUTS: full_filename: ful...	65.721769	134	0.627559	22,464	153,066	4.018118	0.037838	0.055671	0.080919	0.062218	0.890974	0.858635	0.827881	0.795786	0.771789	0.749842	0.041883	0.220539	153,066	2,328	135	65.75	0.714665	0.221663	0.479181	0	0.001411	0.194162	0.031171	0	0	0	0	1	0.008469	false	0	0.00494	0	0.022583	0.007057	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
594bc5f77ca906ae0433fe140d3a32eb4d88a297	40	py	Python	Hello_World.py	Fang465/MB215Lab1	9a45c7e6fc804d541c213d1741084ba32d95b0f5	[ "MIT" ]	null	null	null	Hello_World.py	Fang465/MB215Lab1	9a45c7e6fc804d541c213d1741084ba32d95b0f5	[ "MIT" ]	null	null	null	Hello_World.py	Fang465/MB215Lab1	9a45c7e6fc804d541c213d1741084ba32d95b0f5	[ "MIT" ]	null	null	null	print("Hello, my name is Ryan Kitamura")	40	40	0.75	7	40	4.285714	1	0	0	0	0	0	0	0	0	0	0	0.125	40	1	40	40	0.857143	0	0	0	0	0.756098	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	0	1	0	0	0	0	1	6
3ca01de01e0660058ccb8475194422ab6c649039	104	py	Python	torchOnVideo/datasets/Vimeo90KTriplet/frame_interpolation/__init__.py	torchOnVideo/torchOnVideo	aa07d5661f772eca027ecc6b79e14bd68a515aa1	[ "MIT" ]	2	2021-03-19T08:05:06.000Z	2021-05-22T21:54:10.000Z	torchOnVideo/datasets/Vimeo90KTriplet/frame_interpolation/__init__.py	torchOnVideo/torchOnVideo	aa07d5661f772eca027ecc6b79e14bd68a515aa1	[ "MIT" ]	null	null	null	torchOnVideo/datasets/Vimeo90KTriplet/frame_interpolation/__init__.py	torchOnVideo/torchOnVideo	aa07d5661f772eca027ecc6b79e14bd68a515aa1	[ "MIT" ]	null	null	null	from .train_adacof import TrainAdaCoF from .train_cain import TrainCAIN from .test_CAIN import TestCAIN	26	37	0.855769	15	104	5.733333	0.6	0.209302	0	0	0	0	0	0	0	0	0	0.115385	104	3	38	34.666667	0.934783	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
3ca43b7cd44810b0c1007f18b976c480556f7152	84	py	Python	pycardano/backend/__init__.py	Blockery-io/pycardano	81749b46324346a0e3cb4808290fd565f4ed7450	[ "MIT" ]	72	2022-01-09T03:54:06.000Z	2022-03-30T22:05:44.000Z	pycardano/backend/__init__.py	Blockery-io/pycardano	81749b46324346a0e3cb4808290fd565f4ed7450	[ "MIT" ]	13	2022-02-19T13:08:11.000Z	2022-03-30T16:57:33.000Z	pycardano/backend/__init__.py	henryyuanheng-wang/pycardano	d58c53791ffef542762e6d0220d4ccd1c0950e5e	[ "MIT" ]	15	2022-02-07T23:54:51.000Z	2022-03-30T17:06:12.000Z	# flake8: noqa from .base import * from .blockfrost import * from .ogmios import *	14	25	0.714286	11	84	5.454545	0.636364	0.333333	0	0	0	0	0	0	0	0	0.014706	0.190476	84	5	26	16.8	0.867647	0.142857	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
3ca803824d090f0628d75891cf8f7c180165f2a8	2,030	py	Python	Operations.py	alfredots/image-processing	6a66e75c3248bfb997ed951dace24e3d5a431f5f	[ "Apache-2.0" ]	null	null	null	Operations.py	alfredots/image-processing	6a66e75c3248bfb997ed951dace24e3d5a431f5f	[ "Apache-2.0" ]	null	null	null	Operations.py	alfredots/image-processing	6a66e75c3248bfb997ed951dace24e3d5a431f5f	[ "Apache-2.0" ]	null	null	null	import numpy as np import cv2 class Operations: @staticmethod def binarizar(img): rows, cols = img.shape for i in range(rows): for j in range(cols): if(img[i,j] < 128): img[i,j] = 0 else: img[i,j] = 255 ...	25.696203	66	0.4867	228	2,030	4.315789	0.144737	0.036585	0.04065	0.055894	0.796748	0.796748	0.796748	0.796748	0.796748	0.796748	0.026846	0.412808	2,030	79	67	25.696203	0.798658	0	0.721311	0	0	0	0	0	0	0	0	1	0.081967	false	0	0.032787	0	0.213115	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
3cc3162aad3d3f093242c4bf948625131137442e	43	py	Python	packagename/core.py	ptrstn/python-starter	372e1563a84dfa8a0d5af0be52cceaf607666237	[ "Unlicense" ]	null	null	null	packagename/core.py	ptrstn/python-starter	372e1563a84dfa8a0d5af0be52cceaf607666237	[ "Unlicense" ]	4	2021-08-23T23:32:53.000Z	2022-01-24T10:41:02.000Z	packagename/core.py	ptrstn/python-starter	372e1563a84dfa8a0d5af0be52cceaf607666237	[ "Unlicense" ]	null	null	null	def do_something(): return "something"	14.333333	22	0.697674	5	43	5.8	0.8	0	0	0	0	0	0	0	0	0	0	0.186047	43	2	23	21.5	0.828571	0	0	0	0	0.209302	0	0	0	0	0	1	0.5	true	0	0	0.5	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	0	1	0	0	6
3ce8085886e9bf5721e34cde26a31e4f71d5e1dd	3,632	py	Python	experiments/verification_experiments/leaf_experiment_metadata_providers.py	M4rukku/impact_of_non_iid_data_in_federated_learning	c818db03699c82e42217d56f8ddd4cc2081c8bb1	[ "MIT" ]	null	null	null	experiments/verification_experiments/leaf_experiment_metadata_providers.py	M4rukku/impact_of_non_iid_data_in_federated_learning	c818db03699c82e42217d56f8ddd4cc2081c8bb1	[ "MIT" ]	null	null	null	experiments/verification_experiments/leaf_experiment_metadata_providers.py	M4rukku/impact_of_non_iid_data_in_federated_learning	c818db03699c82e42217d56f8ddd4cc2081c8bb1	[ "MIT" ]	null	null	null	from enum import IntEnum, auto from typing import Dict from sources.experiments.experiment_metadata_provider_utils import FixedExperimentMetadata, ExperimentMetadataProvider class ExperimentScale(IntEnum): SMALL = auto() MEDIUM = auto() LARGE = auto() CELEBA_SCALE_EXPERIMENT_METADATA_MAP: Dict[Experime...	28.375	118	0.688877	358	3,632	6.569832	0.134078	0.168367	0.117347	0.132653	0.875	0.844388	0.82398	0.799745	0.799745	0.755952	0.021816	0.217511	3,632	128	119	28.375	0.805771	0	0.526786	0	0	0.170933	0	0	0	0	0	1	0	false	0	0.026786	0	0.0625	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
3cec6e4163724eb27c47f2cce4fabae2b578c3ca	30	py	Python	dags/odoodw/utils/__init__.py	kakkurij/odoodw-test	9f50b73b2d4107c2bfde9f4aebf51e7e70f251ab	[ "MIT" ]	null	null	null	dags/odoodw/utils/__init__.py	kakkurij/odoodw-test	9f50b73b2d4107c2bfde9f4aebf51e7e70f251ab	[ "MIT" ]	null	null	null	dags/odoodw/utils/__init__.py	kakkurij/odoodw-test	9f50b73b2d4107c2bfde9f4aebf51e7e70f251ab	[ "MIT" ]	null	null	null	from .dw_setup import DWSetup	15	29	0.833333	5	30	4.8	1	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.923077	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
a72447b1785d7014243f0659a7bd0476f7a368c8	38	py	Python	jsdb/__init__.py	talwrii/jsdb	a1134856326bee8625c4a893d595113506597b44	[ "BSD-2-Clause" ]	2	2020-08-28T19:15:11.000Z	2020-09-05T01:49:25.000Z	jsdb/__init__.py	talwrii/jsdb	a1134856326bee8625c4a893d595113506597b44	[ "BSD-2-Clause" ]	null	null	null	jsdb/__init__.py	talwrii/jsdb	a1134856326bee8625c4a893d595113506597b44	[ "BSD-2-Clause" ]	null	null	null	from .jsdb import Jsdb, DbClosedError	19	37	0.815789	5	38	6.2	0.8	0	0	0	0	0	0	0	0	0	0	0.131579	38	1	38	38	0.939394	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
59c135a3a043b7cd21b68b6f96aa58903615e78d	37	py	Python	packtets/utils/__init__.py	maxhutch/packtets	eba7d3d354da9bef50bfdbc48e6934c4e17f165c	[ "MIT" ]	1	2017-12-13T18:24:14.000Z	2017-12-13T18:24:14.000Z	packtets/utils/__init__.py	maxhutch/packtets	eba7d3d354da9bef50bfdbc48e6934c4e17f165c	[ "MIT" ]	4	2016-05-19T14:48:57.000Z	2016-05-19T19:30:54.000Z	packtets/utils/__init__.py	maxhutch/packtets	eba7d3d354da9bef50bfdbc48e6934c4e17f165c	[ "MIT" ]	null	null	null	from .io import * from .vis import *	12.333333	18	0.675676	6	37	4.166667	0.666667	0	0	0	0	0	0	0	0	0	0	0.216216	37	2	19	18.5	0.862069	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
59c76084bdc5f9ff51731e4d8519ac275b4767f0	2,263	py	Python	src_main/devtools/bin/separate_vcprojs.py	ArcadiusGFN/SourceEngine2007	51cd6d4f0f9ed901cb9b61456eb621a50ce44f55	[ "bzip2-1.0.6" ]	25	2018-02-28T15:04:42.000Z	2021-08-16T03:49:00.000Z	tf2_src/devtools/bin/separate_vcprojs.py	Counter2828/TeamFortress2	1b81dded673d49adebf4d0958e52236ecc28a956	[ "MIT" ]	1	2019-09-20T11:06:03.000Z	2019-09-20T11:06:03.000Z	tf2_src/devtools/bin/separate_vcprojs.py	Counter2828/TeamFortress2	1b81dded673d49adebf4d0958e52236ecc28a956	[ "MIT" ]	9	2019-07-31T11:58:20.000Z	2021-08-31T11:18:15.000Z	from vsdotnetxmlparser import * #print f.GetAttribute( 'VisualStudioProject\\Configurations\\Configuration\\<2>Tool\\CommandLine' ) WriteSeparateVCProj( LoadVCProj( 'cl_dll\\client.vcproj' ), ["Debug DoD\|Win32", "Release DoD\|Win32"], 'cl_dll\\client_dod.vcproj' ) WriteSeparateVCProj( LoadVCProj( 'cl_dll\\client.v...	80.821429	154	0.735749	274	2,263	5.952555	0.120438	0.284488	0.107909	0.166769	0.827713	0.805641	0.805641	0.299203	0.061312	0	0.044669	0.079982	2,263	27	155	83.814815	0.738713	0.043305	0	0	0	0.582138	0.207311	0	0	0	0	1	0	true	0	0.058824	0	0.058824	0	0	0	0	null	1	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	0	6
59cc84ff386eccd17323c87cdb81cdc0fdefe19a	22,479	py	Python	scripts/ida_is_subvtable.py	RUB-SysSec/Marx	4e9dbf1e5cfaab12a6544521032ef44bd8c9dbb1	[ "MIT" ]	118	2016-12-24T00:00:07.000Z	2022-03-19T06:19:49.000Z	scripts/ida_is_subvtable.py	RUB-SysSec/Marx	4e9dbf1e5cfaab12a6544521032ef44bd8c9dbb1	[ "MIT" ]	1	2021-09-17T22:01:19.000Z	2021-09-18T16:56:38.000Z	scripts/ida_is_subvtable.py	RUB-SysSec/Marx	4e9dbf1e5cfaab12a6544521032ef44bd8c9dbb1	[ "MIT" ]	14	2016-12-24T04:34:43.000Z	2021-12-19T16:04:45.000Z	#!/usr/bin/python2 from idc import * from idaapi import * from idautils import * ''' Checks if the vtable is a possible sub-vtable. ''' vtables = [ 0x1c74170, 0x1c74150, 0x1c74d90, 0x1c74d50, 0x15bae30, 0x15bae50, 0x15bae70, 0x15bae90, 0x15baeb0, 0x15e3650, 0x15e3690, 0x15e35d0, 0x15e3610, 0x15e48d0, 0x15e3770, 0x15...	548.268293	21,759	0.813114	2,070	22,479	8.827053	0.971981	0.001532	0.001751	0.002627	0.007224	0.007224	0.00405	0.00405	0	0	0.54524	0.095823	22,479	41	21,760	548.268293	0.353752	0.000756	0.269231	0	0	0.003749	0	0	0.794047	0	0	0	null	null	0	0.115385	null	null	0.346154	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	null	0	1	0	0	1	0	0	0	0	0	0	0	6
ab6710a479b6b16a6e9dc5c8e6504b99d346e290	119	py	Python	test-simple/calc.py	Tobils/recipe-app-api	3b0948dfd7dbefc57ae85ba8b51fcf77c5c04344	[ "MIT" ]	1	2021-02-09T04:14:18.000Z	2021-02-09T04:14:18.000Z	test-simple/calc.py	Tobils/recipe-app-api	3b0948dfd7dbefc57ae85ba8b51fcf77c5c04344	[ "MIT" ]	null	null	null	test-simple/calc.py	Tobils/recipe-app-api	3b0948dfd7dbefc57ae85ba8b51fcf77c5c04344	[ "MIT" ]	null	null	null	""" add 2 number """ def add(x, y): return x + y """ substract y from x """ def substract(x, y): return y - x	14.875	26	0.529412	21	119	3	0.428571	0.095238	0.253968	0	0	0	0	0	0	0	0.011765	0.285714	119	8	27	14.875	0.729412	0.10084	0	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	1	1	0	6
abb765fee4958674e53441fedc856ec2d8b1f629	82	py	Python	project_name/serializers.py	dthorell/django-microservice	db66efbe240a465682989c729ea38b890ee614f3	[ "MIT" ]	null	null	null	project_name/serializers.py	dthorell/django-microservice	db66efbe240a465682989c729ea38b890ee614f3	[ "MIT" ]	2	2021-06-09T17:46:04.000Z	2021-06-10T18:45:20.000Z	project_name/serializers.py	dthorell/django-microservice	db66efbe240a465682989c729ea38b890ee614f3	[ "MIT" ]	null	null	null	from rest_framework import serializers # TODO: write here your model serializers	20.5	41	0.829268	11	82	6.090909	0.909091	0	0	0	0	0	0	0	0	0	0	0.146341	82	3	42	27.333333	0.957143	0.47561	0	0	0	0	0	0	0	0.333333	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	1	0	1	0	6
abedcabcfe29e864831d0deaddc996f78c3ca286	88	py	Python	antipetros_discordbot/auxiliary_classes/aux_server_classes/__init__.py	official-antistasi-community/Antipetros_Discord_Bot	1b5c8b61c09e61cdff671e259f0478d343a50c8d	[ "MIT" ]	null	null	null	antipetros_discordbot/auxiliary_classes/aux_server_classes/__init__.py	official-antistasi-community/Antipetros_Discord_Bot	1b5c8b61c09e61cdff671e259f0478d343a50c8d	[ "MIT" ]	null	null	null	antipetros_discordbot/auxiliary_classes/aux_server_classes/__init__.py	official-antistasi-community/Antipetros_Discord_Bot	1b5c8b61c09e61cdff671e259f0478d343a50c8d	[ "MIT" ]	1	2021-02-12T01:10:51.000Z	2021-02-12T01:10:51.000Z	from .server_item import * from .helper import * from .is_online_message_items import *	22	38	0.795455	13	88	5.076923	0.692308	0.30303	0	0	0	0	0	0	0	0	0	0.136364	88	3	39	29.333333	0.868421	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
f9ef1c766a0a46ece41bbb3a7a8db7b96419694c	210	py	Python	python/8kyu/generate_range_of_integers.py	Sigmanificient/codewars	b34df4bf55460d312b7ddf121b46a707b549387a	[ "MIT" ]	3	2021-06-08T01:57:13.000Z	2021-06-26T10:52:47.000Z	python/8kyu/generate_range_of_integers.py	Sigmanificient/codewars	b34df4bf55460d312b7ddf121b46a707b549387a	[ "MIT" ]	null	null	null	python/8kyu/generate_range_of_integers.py	Sigmanificient/codewars	b34df4bf55460d312b7ddf121b46a707b549387a	[ "MIT" ]	2	2021-06-10T21:20:13.000Z	2021-06-30T10:13:26.000Z	"""Kata url: https://www.codewars.com/kata/55eca815d0d20962e1000106.""" from typing import List def generate_range(_min: int, _max: int, step: int) -> List[int]: return list(range(_min, _max + 1, step))	26.25	71	0.7	30	210	4.733333	0.666667	0.112676	0	0	0	0	0	0	0	0	0.104972	0.138095	210	7	72	30	0.679558	0.309524	0	1	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	0	1	1	1	0	6
e60b5e32067fb2bda2b28e090317819a571c8cb5	184	py	Python	codewars/8kyu/doha22/kata8/alam/test.py	doha22/Training_one	0cd7cf86c7da0f6175834146296b763d1841766b	[ "MIT" ]	null	null	null	codewars/8kyu/doha22/kata8/alam/test.py	doha22/Training_one	0cd7cf86c7da0f6175834146296b763d1841766b	[ "MIT" ]	2	2019-01-22T10:53:42.000Z	2019-01-31T08:02:48.000Z	codewars/8kyu/doha22/kata8/alam/test.py	doha22/Training_one	0cd7cf86c7da0f6175834146296b763d1841766b	[ "MIT" ]	13	2019-01-22T10:37:42.000Z	2019-01-25T13:30:43.000Z	import unittest from alarm import set_alarm def test_set_alarm(benchmark): assert benchmark(set_alarm,(True, True)) == False assert benchmark(set_alarm,(False, True)) == True	26.285714	53	0.75	26	184	5.115385	0.423077	0.240602	0.270677	0.345865	0	0	0	0	0	0	0	0.146739	184	7	54	26.285714	0.847134	0	0	0	0	0	0	0	0	0	0.4	1	0.2	false	0	0.4	0	0.6	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	0	0	6
e6214603206384ef5fda0936c275e027c90d4a2d	3,622	py	Python	tests/dltranz_tests/test_distribution_target_loss.py	KirillVladimirov/pytorch-lifestream	83005b950d41de8afc11711fc955ffafb5ff7a9e	[ "Apache-2.0" ]	null	null	null	tests/dltranz_tests/test_distribution_target_loss.py	KirillVladimirov/pytorch-lifestream	83005b950d41de8afc11711fc955ffafb5ff7a9e	[ "Apache-2.0" ]	null	null	null	tests/dltranz_tests/test_distribution_target_loss.py	KirillVladimirov/pytorch-lifestream	83005b950d41de8afc11711fc955ffafb5ff7a9e	[ "Apache-2.0" ]	1	2022-02-05T15:06:48.000Z	2022-02-05T15:06:48.000Z	import torch import numpy as np from dltranz.loss import DistributionTargetsLoss def test_best_loss(): eps = 1e-7 prediction = {'neg_sum': torch.tensor([[np.log(10 + 1)]]), 'neg_distribution': torch.tensor([[100., 0., 0., 0., 0., 0.]]), 'pos_sum': torch.tensor([[0]]), ...	35.165049	85	0.503589	501	3,622	3.536926	0.097804	0.057562	0.060948	0.051919	0.895598	0.892212	0.892212	0.861738	0.823928	0.762415	0.101438	0.270569	3,622	102	86	35.509804	0.569266	0	0.630137	0	0	0.127002	0	0	0	0	0.136986	1	0.068493	false	0	0.041096	0	0.109589	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
e6320f7bc2522f76b9d05fac4dac9bf5482ba3a5	330	py	Python	core/classifier/mfe_svm_classifier.py	yt7589/mgs	2faae1b69e6d4cde63afb9b2432b1bf49ebdd770	[ "Apache-2.0" ]	null	null	null	core/classifier/mfe_svm_classifier.py	yt7589/mgs	2faae1b69e6d4cde63afb9b2432b1bf49ebdd770	[ "Apache-2.0" ]	null	null	null	core/classifier/mfe_svm_classifier.py	yt7589/mgs	2faae1b69e6d4cde63afb9b2432b1bf49ebdd770	[ "Apache-2.0" ]	null	null	null	from pyAudioAnalysis import ShortTermFeatures as aSF from pyAudioAnalysis import MidTermFeatures as aMF from pyAudioAnalysis import audioBasicIO as aIO import numpy as np import plotly.graph_objs as go import plotly import sklearn.svm as sks # import SVC class MfeSvmClassifier: @staticmethod def train(): ...	27.5	52	0.793939	43	330	6.069767	0.604651	0.218391	0.287356	0	0	0	0	0	0	0	0	0.181818	330	12	53	27.5	0.966667	0.030303	0	0	0	0	0	0	0	0	0	1	0.090909	true	0.090909	0.636364	0	0.818182	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	1	0	1	0	6
e64742d7aa296f88e8ba11eeaca6dd175108b550	92	py	Python	webresume/api/tests.py	cmput401-fall2018/web-app-ci-cd-with-travis-ci-ZhimaoLin	f09753f7615c5b7c2cb6d51d51424b4f616a2241	[ "MIT" ]	null	null	null	webresume/api/tests.py	cmput401-fall2018/web-app-ci-cd-with-travis-ci-ZhimaoLin	f09753f7615c5b7c2cb6d51d51424b4f616a2241	[ "MIT" ]	4	2018-10-01T23:13:33.000Z	2020-06-05T19:10:58.000Z	webresume/api/tests.py	cmput401-fall2018/web-app-ci-cd-with-travis-ci-ZhimaoLin	f09753f7615c5b7c2cb6d51d51424b4f616a2241	[ "MIT" ]	2	2018-10-01T19:46:09.000Z	2018-10-09T00:40:18.000Z	from django.test import TestCase # Create your tests here. def test_test(): assert True	18.4	32	0.75	14	92	4.857143	0.857143	0	0	0	0	0	0	0	0	0	0	0.184783	92	5	33	18.4	0.906667	0.25	0	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	0	0	0	null	0	0	0	0	0	1	1	0	1	0	1	0	6
053165b9d07b0b228d5dfaab6bcfcf22c4983f87	47	py	Python	image-stitching/src/practice.py	blackmahub/de.hs-fulda.informatik.cv.image-stitching	5ec8448322b3591b11a746d7ad99dc8e0adbcac5	[ "MIT" ]	null	null	null	image-stitching/src/practice.py	blackmahub/de.hs-fulda.informatik.cv.image-stitching	5ec8448322b3591b11a746d7ad99dc8e0adbcac5	[ "MIT" ]	null	null	null	image-stitching/src/practice.py	blackmahub/de.hs-fulda.informatik.cv.image-stitching	5ec8448322b3591b11a746d7ad99dc8e0adbcac5	[ "MIT" ]	null	null	null	print(["java", {"python": ("ML", "AI", "CV")}])	47	47	0.446809	6	47	3.5	1	0	0	0	0	0	0	0	0	0	0	0.085106	47	1	47	47	0.488372	0	0	0	0	0.333333	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	1	6
0560bd42c719432ea281befd7da7e85337efdb08	27	py	Python	esinet/minimum_norm/__init__.py	LukeTheHecker/ANNDip	008fbea39d80b2bd97ca4c5510b0aefb5a766443	[ "MIT" ]	10	2021-01-27T14:13:18.000Z	2021-08-12T12:48:00.000Z	esinet/minimum_norm/__init__.py	LukeTheHecker/ANNDip	008fbea39d80b2bd97ca4c5510b0aefb5a766443	[ "MIT" ]	1	2021-12-06T12:14:17.000Z	2021-12-06T12:19:14.000Z	esinet/minimum_norm/__init__.py	LukeTheHecker/ANNDip	008fbea39d80b2bd97ca4c5510b0aefb5a766443	[ "MIT" ]	2	2021-05-18T23:54:03.000Z	2021-06-04T20:57:16.000Z	from .minimum_norm import *	27	27	0.814815	4	27	5.25	1	0	0	0	0	0	0	0	0	0	0	0.111111	27	1	27	27	0.875	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
558f30966e1b0c96bd097eba4c0316db1c2d2a1e	53	py	Python	navtools/__init__.py	slott56/navtools	9860e4e79e3bd5d6e479755180a4d85a77502102	[ "BSD-3-Clause" ]	5	2015-11-26T01:26:43.000Z	2022-01-07T19:50:24.000Z	navtools/__init__.py	slott56/navtools	9860e4e79e3bd5d6e479755180a4d85a77502102	[ "BSD-3-Clause" ]	1	2022-01-07T05:53:09.000Z	2022-01-07T17:05:24.000Z	navtools/__init__.py	slott56/navtools	9860e4e79e3bd5d6e479755180a4d85a77502102	[ "BSD-3-Clause" ]	null	null	null	"""Navtools 2021.08.29""" __version__ = "2021.08.29"	17.666667	26	0.660377	8	53	3.875	0.625	0.387097	0.516129	0	0	0	0	0	0	0	0.333333	0.09434	53	2	27	26.5	0.3125	0.358491	0	0	0	0.357143	0	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	1	1	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
55a47daf6dbe85fd7e6f37790b91ddf125836834	47	py	Python	libs/models/__init__.py	0h-n0/first_deep	8b4b1c3e2198774baaddac7b1045fecc95c59f0b	[ "MIT" ]	null	null	null	libs/models/__init__.py	0h-n0/first_deep	8b4b1c3e2198774baaddac7b1045fecc95c59f0b	[ "MIT" ]	null	null	null	libs/models/__init__.py	0h-n0/first_deep	8b4b1c3e2198774baaddac7b1045fecc95c59f0b	[ "MIT" ]	null	null	null	from .cnn import CNN from .rnn import RNNModel	15.666667	25	0.787234	8	47	4.625	0.625	0	0	0	0	0	0	0	0	0	0	0.170213	47	2	26	23.5	0.948718	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
e9471d26e68758672e6b24a57743d37bfcb749e0	473	py	Python	easycodef/errors/_errors.py	fiveio/easy-codef-py	97bd6831909e4d31af0ec7ed479b63fc977cd302	[ "MIT" ]	1	2019-09-17T00:47:08.000Z	2019-09-17T00:47:08.000Z	easycodef/errors/_errors.py	fiveio/easy-codef-py	97bd6831909e4d31af0ec7ed479b63fc977cd302	[ "MIT" ]	null	null	null	easycodef/errors/_errors.py	fiveio/easy-codef-py	97bd6831909e4d31af0ec7ed479b63fc977cd302	[ "MIT" ]	null	null	null	class Error(Exception): """Base class""" pass class TokenGenerateError(Error): """ 토큰 생성 에러 :param: message: 에러 메세지 """ def __init__(self, message): self.message = message class ConnectedIdGenerateError(Error): """ 커넥티드 아이디 생성 에러 :param: message: 에러 메세지 """ ...	15.766667	38	0.604651	51	473	5.372549	0.372549	0.240876	0.120438	0.19708	0.583942	0.583942	0.583942	0.452555	0.452555	0.452555	0	0.281184	473	29	39	16.310345	0.805882	0.17759	0.545455	1	0	0	0	0	0	0	0	1	0.272727	false	0.090909	0	0	0.636364	0	0	0	0	null	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	1	0	0	1	0	6
e955c5f7216626e1203ea5c95f60e47c503e989c	4,793	py	Python	tests/integrations/test_location_eligibility.py	uk-gov-mirror/alphagov.govuk-shielded-vulnerable-people-service	5b191980dec554155e9d431a514a945072032e7c	[ "MIT" ]	3	2020-08-16T19:36:26.000Z	2020-10-29T14:35:01.000Z	tests/integrations/test_location_eligibility.py	uk-gov-mirror/alphagov.govuk-shielded-vulnerable-people-service	5b191980dec554155e9d431a514a945072032e7c	[ "MIT" ]	101	2020-09-03T11:10:00.000Z	2021-10-01T03:03:46.000Z	tests/integrations/test_location_eligibility.py	alphagov-mirror/govuk-shielded-vulnerable-people-service	f9cb4ae9046fc402f0878503733a23d42546cc53	[ "MIT" ]	6	2020-07-28T09:03:20.000Z	2021-04-10T18:04:56.000Z	from unittest.mock import patch import pytest from flask import Flask from vulnerable_people_form.integrations.location_eligibility import (is_postcode_in_england, get_postcode_tier, get_uprn_tier, ...	50.989362	103	0.709159	536	4,793	5.886194	0.147388	0.073217	0.060856	0.079873	0.846276	0.794612	0.767036	0.752773	0.729636	0.711886	0.008318	0.197371	4,793	93	104	51.537634	0.811801	0	0.507042	0	0	0.264135	0.14855	0	0	0	0.126761	1	0.126761	false	0	0.070423	0	0.197183	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
e961df5621ca66a4e84e3da9468fa49c1caee7eb	28	py	Python	examples/NIPS/UrbanSounds8K/__init__.py	dais-ita/DeepProbCEP	22790c1672c1cce49a59d18921c710f61cdde2f2	[ "MIT" ]	6	2020-09-10T03:40:53.000Z	2021-05-26T07:30:20.000Z	examples/NIPS/UrbanSounds8K/__init__.py	dais-ita/DeepProbCEP	22790c1672c1cce49a59d18921c710f61cdde2f2	[ "MIT" ]	null	null	null	examples/NIPS/UrbanSounds8K/__init__.py	dais-ita/DeepProbCEP	22790c1672c1cce49a59d18921c710f61cdde2f2	[ "MIT" ]	1	2020-11-23T15:55:57.000Z	2020-11-23T15:55:57.000Z	from .sounds_utils import *	14	27	0.785714	4	28	5.25	1	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	0.875	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
e9c6131de9d484c93efccdc4e9a06f8812efa730	38,322	py	Python	CouncilTag/ingest/data.py	vinvasir/engage-backend	0050d0c70c1cc0127e5bdef506ccea5b47e2db39	[ "Apache-2.0" ]	null	null	null	CouncilTag/ingest/data.py	vinvasir/engage-backend	0050d0c70c1cc0127e5bdef506ccea5b47e2db39	[ "Apache-2.0" ]	null	null	null	CouncilTag/ingest/data.py	vinvasir/engage-backend	0050d0c70c1cc0127e5bdef506ccea5b47e2db39	[ "Apache-2.0" ]	null	null	null	import requests from bs4 import BeautifulSoup import unicodedata import datetime import pytz from calendar import timegm local_tz = pytz.timezone("America/Los_Angeles") city_council_agendas_url = "https://www.smgov.net/departments/clerk/agendas.aspx" list_of_sections = [u'SPECIAL AGENDA ITEMS', u'CONSENT CALENDAR', u...	207.145946	30,314	0.925056	1,005	38,322	35.089552	0.344279	0.007089	0.002297	0.002552	0.009613	0.005331	0.001531	0	0	0	0.115782	0.048458	38,322	184	30,315	208.271739	0.851309	0.00655	0.024242	0	0.012121	0.84504	0.823931	1	0	0	0	1	0.048485	false	0	0.036364	0	0.145455	0.006061	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	1	1	null	1	0	0	0	0	0	0	0	0	0	0	0	6
758a62af93144a89fab6a08f01d91eb274a35585	181	py	Python	{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/accounts/models/users.py	Casanova-Development/cookiecutter-backend-django	ba669853b37826c699aba50f0ea3b478c21164a3	[ "BSD-3-Clause" ]	null	null	null	{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/accounts/models/users.py	Casanova-Development/cookiecutter-backend-django	ba669853b37826c699aba50f0ea3b478c21164a3	[ "BSD-3-Clause" ]	null	null	null	{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/accounts/models/users.py	Casanova-Development/cookiecutter-backend-django	ba669853b37826c699aba50f0ea3b478c21164a3	[ "BSD-3-Clause" ]	null	null	null	"""Users models for application Accounts.""" from django.contrib.auth.models import AbstractUser class User(AbstractUser): """Define a custom default user model.""" pass	20.111111	51	0.729282	22	181	6	0.863636	0	0	0	0	0	0	0	0	0	0	0.160221	181	8	52	22.625	0.868421	0.40884	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	0	0	0	null	0	0	0	0	0	0	1	1	1	0	1	0	6
759359d122edb92374eac02a353263c7e3152563	31	py	Python	halotools/empirical_models/composite_models/sfr_models/__init__.py	pllim/halotools	6499cff09e7e0f169e4f425ee265403f6be816e8	[ "BSD-3-Clause" ]	83	2015-01-15T14:54:16.000Z	2021-12-09T11:28:02.000Z	halotools/empirical_models/composite_models/sfr_models/__init__.py	pllim/halotools	6499cff09e7e0f169e4f425ee265403f6be816e8	[ "BSD-3-Clause" ]	579	2015-01-14T15:57:37.000Z	2022-01-13T18:58:44.000Z	halotools/empirical_models/composite_models/sfr_models/__init__.py	pllim/halotools	6499cff09e7e0f169e4f425ee265403f6be816e8	[ "BSD-3-Clause" ]	70	2015-01-14T15:15:58.000Z	2021-12-22T18:18:31.000Z	from .smhm_binary_sfr import *	15.5	30	0.806452	5	31	4.6	1	0	0	0	0	0	0	0	0	0	0	0.129032	31	1	31	31	0.851852	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
75dbef1aba6b4cc33bb33e4df08bc12d7838195c	189	py	Python	play-1.2.4/python/Lib/site-packages/readline.py	AppSecAI-TEST/restcommander	a2523f31356938f5c7fc6d379b7678da0b1e077a	[ "Apache-2.0" ]	550	2015-01-05T16:59:00.000Z	2022-03-20T16:55:25.000Z	framework/python/Lib/site-packages/readline.py	lafayette/JBTT	94bde9d90abbb274d29ecd82e632d43a4320876e	[ "MIT" ]	15	2015-02-05T06:00:47.000Z	2018-07-07T14:34:04.000Z	framework/python/Lib/site-packages/readline.py	lafayette/JBTT	94bde9d90abbb274d29ecd82e632d43a4320876e	[ "MIT" ]	119	2015-01-08T00:48:24.000Z	2022-01-27T14:13:15.000Z	# -- coding: UTF-8 -- #this file is needed in site-packages to emulate readline #necessary for rlcompleter since it relies on the existance #of a readline module from pyreadline import *	31.5	59	0.761905	29	189	4.965517	0.965517	0	0	0	0	0	0	0	0	0	0.006329	0.164021	189	5	60	37.8	0.905063	0.820106	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
2f041e9d8dee51da93474cdd949930d98bd58053	27,816	py	Python	v1/backend/src/rankings/urls.py	avgupta456/statbotics	8847cec161104ec54f4c501653cd4ec558d30379	[ "MIT" ]	14	2020-05-28T21:54:45.000Z	2022-03-17T19:39:23.000Z	v1/backend/src/rankings/urls.py	avgupta456/statbotics	8847cec161104ec54f4c501653cd4ec558d30379	[ "MIT" ]	59	2020-05-28T21:39:45.000Z	2022-03-25T23:51:39.000Z	backend/src/rankings/urls.py	statbotics/statbotics	37bb0e3730d5b3aff7b6a5ba6e78ef2eada950bc	[ "MIT" ]	1	2020-07-04T07:30:40.000Z	2020-07-04T07:30:40.000Z	# type: ignore from django.conf.urls import url from django.urls import include, path from drf_yasg import openapi from drf_yasg.views import SwaggerUIRenderer, get_schema_view from rest_framework import permissions, routers from src.rankings.views import ( event_pred_views, event_views, match_views, ...	38.473029	109	0.579702	3,094	27,816	4.969619	0.04331	0.092482	0.087799	0.095734	0.872724	0.831491	0.801249	0.782193	0.72405	0.700963	0.011523	0.25435	27,816	722	110	38.526316	0.729811	0.002984	0.572453	0	0.021521	0.399421	0.385081	0	0	0	0	1	0	false	0	0.008608	0	0.008608	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
f93c37f8dbb1e504769add17add9cf3550c2f7bc	8,632	py	Python	modules/obsolete_modules/modules_skip_connection.py	ravi-0841/spect-pitch-gan	ea4b9ea8396df753e25e0b2cb210288f683d3903	[ "MIT" ]	null	null	null	modules/obsolete_modules/modules_skip_connection.py	ravi-0841/spect-pitch-gan	ea4b9ea8396df753e25e0b2cb210288f683d3903	[ "MIT" ]	null	null	null	modules/obsolete_modules/modules_skip_connection.py	ravi-0841/spect-pitch-gan	ea4b9ea8396df753e25e0b2cb210288f683d3903	[ "MIT" ]	null	null	null	import tensorflow as tf from modules.base_modules_default_init import * def sampler(input_pitch, input_mfc, final_filters=1, reuse=False, \ scope_name='sampler_generator'): # Inputs have shape [batch_size, num_features, time] input_mfc_transposed = tf.transpose(input_mfc, perm=[0, 2, ...	40.909953	82	0.605422	1,054	8,632	4.643264	0.105313	0.0613	0.048631	0.062934	0.910298	0.899877	0.870045	0.85615	0.842256	0.829587	0.05928	0.298424	8,632	210	83	41.104762	0.748844	0.051089	0.585526	0	0	0.106937	0.021534	0	0	0	0.019737	1	0.019737	false	0	0.013158	0	0.052632	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
f95982d3734838b526a7c2aba805915b20f51c98	11,782	py	Python	delay_gp_funcs.py	ciiram/PyPol_II	50cf1d9f7a33d26f9d09a0fb90bb9bf9d2eee60a	[ "BSD-3-Clause" ]	2	2017-09-29T07:27:20.000Z	2019-12-11T14:56:31.000Z	delay_gp_funcs.py	ciiram/PyPol_II	50cf1d9f7a33d26f9d09a0fb90bb9bf9d2eee60a	[ "BSD-3-Clause" ]	null	null	null	delay_gp_funcs.py	ciiram/PyPol_II	50cf1d9f7a33d26f9d09a0fb90bb9bf9d2eee60a	[ "BSD-3-Clause" ]	null	null	null	# This file contains a number of useful function definitions for implementing the # delay estimation using a Gaussian process framework without convolution # # Ciira wa Maina, 2014 # Dedan Kimathi University of Technology. # Nyeri-Kenya import pylab as pb import numpy as np import scipy as sp from scipy import inte...	24.143443	173	0.688932	2,540	11,782	3.04252	0.062598	0.061335	0.032609	0.052795	0.860637	0.853649	0.818841	0.799301	0.78455	0.769798	0.027688	0.111017	11,782	487	174	24.193018	0.710139	0.188932	0.668085	0	0	0.001591	0	0	0	0	0	1	0.059574	false	0	0.034043	0.012766	0.165957	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	6
f974c2c97dbaab9c6f183a3f769077a320f90f41	88	py	Python	AMAO/apps/Avaliacao/Questao/forms/__init__.py	arruda/amao	83648aa2c408b1450d721b3072dc9db4b53edbb8	[ "MIT" ]	2	2017-04-26T14:08:02.000Z	2017-09-01T13:10:17.000Z	AMAO/apps/Avaliacao/Questao/forms/__init__.py	arruda/amao	83648aa2c408b1450d721b3072dc9db4b53edbb8	[ "MIT" ]	null	null	null	AMAO/apps/Avaliacao/Questao/forms/__init__.py	arruda/amao	83648aa2c408b1450d721b3072dc9db4b53edbb8	[ "MIT" ]	null	null	null	from consulta import * from resolucao import * from criar import * from listar import *	17.6	23	0.772727	12	88	5.666667	0.5	0.441176	0	0	0	0	0	0	0	0	0	0.181818	88	4	24	22	0.944444	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6
f98de20da39e2f50f479deb3debab8ecdc3680af	128	py	Python	app/auth/__init__.py	SuYehTarn/CS651-Group8-Feedback_Forum	d1163442aea81214c4dfa8de1d353ec719bfa7ab	[ "MIT" ]	null	null	null	app/auth/__init__.py	SuYehTarn/CS651-Group8-Feedback_Forum	d1163442aea81214c4dfa8de1d353ec719bfa7ab	[ "MIT" ]	null	null	null	app/auth/__init__.py	SuYehTarn/CS651-Group8-Feedback_Forum	d1163442aea81214c4dfa8de1d353ec719bfa7ab	[ "MIT" ]	null	null	null	"""Module of the Auth blueprint """ from flask import Blueprint auth = Blueprint('auth', __name__) from app.auth import views	16	34	0.742188	18	128	5.055556	0.611111	0.285714	0	0	0	0	0	0	0	0	0	0.15625	128	7	35	18.285714	0.842593	0.21875	0	0	0	0.043011	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	0	1	1	6
f995954a81516b76fa3d1b4ff206431fb6038688	37	py	Python	src/pyV3D/__init__.py	OpenMDAO/pyV3D	2baf32c489e2c91531b89e51a879ba8074ae2803	[ "Apache-2.0" ]	3	2015-05-13T23:43:56.000Z	2021-01-20T10:15:17.000Z	src/pyV3D/__init__.py	OpenMDAO/pyV3D	2baf32c489e2c91531b89e51a879ba8074ae2803	[ "Apache-2.0" ]	3	2016-10-07T08:28:20.000Z	2016-10-07T10:25:34.000Z	src/pyV3D/__init__.py	OpenMDAO/pyV3D	2baf32c489e2c91531b89e51a879ba8074ae2803	[ "Apache-2.0" ]	2	2017-07-16T03:57:36.000Z	2019-10-01T23:57:45.000Z	from _pyV3D import * import handler	9.25	20	0.783784	5	37	5.6	0.8	0	0	0	0	0	0	0	0	0	0.033333	0.189189	37	3	21	12.333333	0.9	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	1	0	6

Subsets and Splits

No community queries yet

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