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_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_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_lines_prompt_comments int64	qsc_code_frac_lines_assert 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
8c2ee052a268689f4ba7670fc7f13f62f8ca6b0f	709	py	Python	d4rl/gym_minigrid/__init__.py	chappers/d4rl	b838da60b51c98c1d673a81657f58a44ccf5d3fe	[ "Apache-2.0" ]	552	2020-04-20T01:07:02.000Z	2022-03-31T16:47:39.000Z	d4rl/gym_minigrid/__init__.py	chappers/d4rl	b838da60b51c98c1d673a81657f58a44ccf5d3fe	[ "Apache-2.0" ]	103	2020-04-20T14:18:32.000Z	2022-03-30T14:33:45.000Z	d4rl/gym_minigrid/__init__.py	chappers/d4rl	b838da60b51c98c1d673a81657f58a44ccf5d3fe	[ "Apache-2.0" ]	135	2020-04-21T16:57:52.000Z	2022-03-30T14:29:55.000Z	from gym.envs.registration import register register( id='minigrid-fourrooms-v0', entry_point='d4rl.gym_minigrid.envs.fourrooms:FourRoomsEnv', max_episode_steps=50, kwargs={ 'ref_min_score': 0.01442, 'ref_max_score': 2.89685, 'dataset_url':'http://rail.eecs.berkeley.edu/datasets/...	29.541667	109	0.696756	90	709	5.255556	0.433333	0.042283	0.07611	0.114165	0.765328	0.765328	0.765328	0.765328	0.765328	0.765328	0.060914	0.166432	709	23	110	30.826087	0.739425	0	0.571429	0	0	0.530324	0.196051	0	0	0	1	0	true	0	0.047619	0	0.047619	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	6
8b158fb18872802ded4f2a57a300f8a4d1376e4d	315	py	Python	rrr.py	jhfwb/utils_xhr	ad58553c5aef3d3c4e942b95a2676e99618cf7c0	[ "MIT" ]	null	null	null	rrr.py	jhfwb/utils_xhr	ad58553c5aef3d3c4e942b95a2676e99618cf7c0	[ "MIT" ]	null	null	null	rrr.py	jhfwb/utils_xhr	ad58553c5aef3d3c4e942b95a2676e99618cf7c0	[ "MIT" ]	null	null	null	if __name__ == '__main__': arr=[592.3, 592.3, 593.3, 593.3, 593.3, 594.1, 594.1, 594.1, 594.1, 594.3, 594.3, 594.3, 594.3, 594.3, 594.3, 594.3, 594.3, 594.3, 594.3, 594.3, 594.7, 594.7, 595.0, 595.1, 595.1, 595.1, 595.1, 595.1, 596.3, 720.0, 720.0, 720.0, 720.0, 720.0, 720.0, 720.0] t=sum(arr) print(t)	78.75	260	0.565079	81	315	2.098765	0.209877	0.282353	0.452941	0.470588	0.729412	0.652941	0.652941	0.558824	0.441176	0.441176	0.549618	0.168254	315	4	261	78.75	0.099237	0	0	0	0	0.025316	0	0	0	0	1	0	false	0	0	0	0	0.25	0	0	0	null	1	1	1	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
8c800110fc2537e5808c26e48ae75be6eff09e44	4,354	py	Python	blockfrost/api/nutlink.py	AstroWa3l/blockfrost-python	dd3661ee3b882cc2081292327adbbf2d61fda0f9	[ "Apache-2.0" ]	1	2021-12-13T22:28:45.000Z	2021-12-13T22:28:45.000Z	blockfrost/api/nutlink.py	AstroWa3l/blockfrost-python	dd3661ee3b882cc2081292327adbbf2d61fda0f9	[ "Apache-2.0" ]	null	null	null	blockfrost/api/nutlink.py	AstroWa3l/blockfrost-python	dd3661ee3b882cc2081292327adbbf2d61fda0f9	[ "Apache-2.0" ]	null	null	null	import requests from dataclasses import dataclass from ..utils import request_wrapper, list_request_wrapper @request_wrapper def nutlink_address(self, address: str, **kwargs): """ List metadata about specific address https://docs.blockfrost.io/#tag/Nut.link :param address: Address of a metadata orac...	35.983471	94	0.695223	564	4,354	5.301418	0.163121	0.036789	0.02408	0.032107	0.851839	0.817057	0.817057	0.806689	0.806689	0.806689	0.006329	0.201654	4,354	120	95	36.283333	0.853855	0.68305	0.466667	0	0	0.134454	0.134454	0	0	0	1	0.133333	false	0	0.1	0	0.366667	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
8cd1f287117098c4b87df3b3791eb82a878696c3	37	py	Python	algorithms/PALE/__init__.py	thanhtrunghuynh93/holisticEmbeddingsNA	d1bb58e879a9fb868729ea13c198e46c9c5f45c9	[ "MIT" ]	null	null	null	algorithms/PALE/__init__.py	thanhtrunghuynh93/holisticEmbeddingsNA	d1bb58e879a9fb868729ea13c198e46c9c5f45c9	[ "MIT" ]	null	null	null	algorithms/PALE/__init__.py	thanhtrunghuynh93/holisticEmbeddingsNA	d1bb58e879a9fb868729ea13c198e46c9c5f45c9	[ "MIT" ]	null	null	null	from algorithms.PALE.pale import PALE	37	37	0.864865	6	37	5.333333	0.666667	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	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
5072a8ffa0817033e4e59d877bdb848f0b2be2be	6,682	py	Python	lyricsgenius/api/public_methods/artist.py	jack-debug/LyricsGenius	7da13630f75e4ff49aeeb080b6d85ce7b97a3b33	[ "MIT" ]	692	2018-02-21T15:32:21.000Z	2022-03-26T09:50:13.000Z	lyricsgenius/api/public_methods/artist.py	jack-debug/LyricsGenius	7da13630f75e4ff49aeeb080b6d85ce7b97a3b33	[ "MIT" ]	171	2018-02-21T05:39:07.000Z	2022-03-30T22:00:05.000Z	lyricsgenius/api/public_methods/artist.py	jack-debug/LyricsGenius	7da13630f75e4ff49aeeb080b6d85ce7b97a3b33	[ "MIT" ]	170	2018-02-22T19:56:44.000Z	2022-03-18T11:12:37.000Z	class ArtistMethods(object): """Artist methods of the public API.""" def artist(self, artist_id, text_format=None): """Gets data for a specific artist. Args: artist_id (:obj:`int`): Genius artist ID text_format (:obj:`str`, optional): Text format of the results ...	38.182857	85	0.548339	759	6,682	4.671937	0.1278	0.072194	0.055274	0.06599	0.832205	0.793006	0.78652	0.773266	0.746193	0.733785	0.003164	0.337773	6,682	174	86	38.402299	0.798192	0.431757	0.509091	0	0	0.119284	0.038056	0	0	0	1	0.145455	false	0	0	0	0.309091	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
5090285d04736c8f961cdbc679728bcef84cd73c	153	py	Python	DeepAlignmentNetwork/menpofit/clm/expert/__init__.py	chiawei-liu/DeepAlignmentNetwork	52621cd2f697abe372b88c9ea0ee08f0d93b43d8	[ "MIT" ]	220	2019-09-01T01:52:04.000Z	2022-03-28T12:52:07.000Z	DeepAlignmentNetwork/menpofit/clm/expert/__init__.py	chiawei-liu/DeepAlignmentNetwork	52621cd2f697abe372b88c9ea0ee08f0d93b43d8	[ "MIT" ]	16	2019-10-24T07:55:11.000Z	2022-02-10T01:28:13.000Z	DeepAlignmentNetwork/menpofit/clm/expert/__init__.py	chiawei-liu/DeepAlignmentNetwork	52621cd2f697abe372b88c9ea0ee08f0d93b43d8	[ "MIT" ]	33	2019-09-23T15:08:50.000Z	2022-02-08T07:54:52.000Z	from .ensemble import ExpertEnsemble, CorrelationFilterExpertEnsemble, FcnFilterExpertEnsemble from .base import IncrementalCorrelationFilterThinWrapper	51	94	0.908497	10	153	13.9	0.8	0	0	0	0	0	0	0	0	0	0	0.065359	153	2	95	76.5	0.972028	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
50e6552111e4d496bdd83971a3b18a59ab88530b	4,376	py	Python	tests/mutate/test_merge_partial_tuplets.py	gilbertohasnofb/auxjad	553b7fe97221b6f378a93ade6262f024e3cbc678	[ "MIT" ]	6	2020-05-18T09:28:29.000Z	2021-12-22T00:40:54.000Z	tests/mutate/test_merge_partial_tuplets.py	gilbertohasnofb/auxjad	553b7fe97221b6f378a93ade6262f024e3cbc678	[ "MIT" ]	1	2021-04-21T20:29:38.000Z	2021-04-22T19:44:54.000Z	tests/mutate/test_merge_partial_tuplets.py	gilbertohasnofb/auxjad	553b7fe97221b6f378a93ade6262f024e3cbc678	[ "MIT" ]	1	2021-04-21T18:54:46.000Z	2021-04-21T18:54:46.000Z	import abjad import auxjad def test_merge_partial_tuplets_01(): staff = abjad.Staff(r"\times 2/3 {c'1} \times 2/3 {d'2}") auxjad.mutate.merge_partial_tuplets(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { \times 2/3 { ...	21.771144	78	0.383684	510	4,376	3.201961	0.094118	0.132272	0.154317	0.053889	0.939988	0.849357	0.80098	0.77526	0.761788	0.73117	0.082888	0.487203	4,376	200	79	21.88	0.644831	0	0.419355	0	0.112903	0.216015	0	0	0	0.129032	1	0.112903	false	0	0.032258	0	0.145161	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
0feea268b32852e7d758135266de3e1e2ccfd403	37	py	Python	tests/import_clr.py	michaelosthege/pythonnet-docker	c3dd8429cd0d86d0cef0f1d0d7bf90562473931a	[ "MIT" ]	14	2018-01-29T02:42:57.000Z	2021-09-20T21:05:57.000Z	tests/import_clr.py	michaelosthege/pythonnet-docker	c3dd8429cd0d86d0cef0f1d0d7bf90562473931a	[ "MIT" ]	4	2020-06-10T08:04:46.000Z	2021-08-07T21:38:28.000Z	tests/import_clr.py	michaelosthege/pythonnet-docker	c3dd8429cd0d86d0cef0f1d0d7bf90562473931a	[ "MIT" ]	3	2018-02-03T20:46:47.000Z	2021-09-14T05:11:56.000Z	import clr print("Hello pythonnet")	9.25	24	0.756757	5	37	5.6	1	0	0	0	0	0	0	0	0	0	0	0.135135	37	3	25	12.333333	0.875	0	0	0	0	0.405405	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	6
ba2d1d72750940b83e927c82815c105bfd9ff3fa	9,203	py	Python	tests/test_redis_throttled_queue.py	ionelmc/python-redis-throttled-queue	e616ceb1ef4265c928e9cd25704575f970dd34ff	[ "BSD-2-Clause" ]	1	2022-03-31T17:56:50.000Z	2022-03-31T17:56:50.000Z	tests/test_redis_throttled_queue.py	ionelmc/python-redis-throttled-queue	e616ceb1ef4265c928e9cd25704575f970dd34ff	[ "BSD-2-Clause" ]	null	null	null	tests/test_redis_throttled_queue.py	ionelmc/python-redis-throttled-queue	e616ceb1ef4265c928e9cd25704575f970dd34ff	[ "BSD-2-Clause" ]	null	null	null	import platform from functools import partial from time import sleep from types import SimpleNamespace from unittest.mock import call import freezegun import pytest from redis.client import StrictRedis from redis_throttled_queue import Resolution from redis_throttled_queue import ThrottledQueue pytest_plugins = ('py...	33.344203	102	0.62534	1,297	9,203	4.346184	0.11488	0.059074	0.091893	0.037254	0.797055	0.769203	0.759092	0.722547	0.717225	0.671102	0.044194	0.208302	9,203	275	103	33.465455	0.729481	0	0.659091	0	0.009091	0.09975	0.03086	0	0	0.409091	1	0.059091	false	0	0.045455	0.004545	0.109091	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	6
e8624c036b9a9c2ad7f6d20228479a3d6dd90754	41	py	Python	aiortc_pyav_stub/logging.py	ulope/aiortc-pyav-stub	b2af75ae74b96f59f3818b2c7f0081dbbcd3bb75	[ "MIT" ]	null	null	null	aiortc_pyav_stub/logging.py	ulope/aiortc-pyav-stub	b2af75ae74b96f59f3818b2c7f0081dbbcd3bb75	[ "MIT" ]	null	null	null	aiortc_pyav_stub/logging.py	ulope/aiortc-pyav-stub	b2af75ae74b96f59f3818b2c7f0081dbbcd3bb75	[ "MIT" ]	null	null	null	def restore_default_callback(): pass	13.666667	31	0.756098	5	41	5.8	1	0	0	0	0	0	0	0	0	0	0	0.170732	41	2	32	20.5	0.852941	0	0	0	0	0	0	0	0	0	1	0.5	true	0.5	0	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	0	0	0	6
e869d9ae499c8ef4e66a4c9d51f6eaa45fc5fc2c	144	py	Python	stv/tools/__init__.py	wp777/stv-compute	313b574c43ef87b629e70c25c38dbb7b24d1f130	[ "MIT" ]	null	null	null	stv/tools/__init__.py	wp777/stv-compute	313b574c43ef87b629e70c25c38dbb7b24d1f130	[ "MIT" ]	null	null	null	stv/tools/__init__.py	wp777/stv-compute	313b574c43ef87b629e70c25c38dbb7b24d1f130	[ "MIT" ]	null	null	null	from .disjoint_set import DisjointSet from .file_tools import FileTools from .list_tools import ListTools from .string_tools import StringTools	28.8	37	0.861111	20	144	6	0.6	0.275	0	0	0	0	0	0	0	0	0	0.111111	144	4	38	36	0.9375	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
e87581639ec401ed06e527176764725b6dd71ad8	30,154	py	Python	modelsNIPS.py	jfilter/universal-style-transfer-pytorch	daf144aa1dc43ed869c35685bc9ed2b0cba3988a	[ "MIT" ]	null	null	null	modelsNIPS.py	jfilter/universal-style-transfer-pytorch	daf144aa1dc43ed869c35685bc9ed2b0cba3988a	[ "MIT" ]	null	null	null	modelsNIPS.py	jfilter/universal-style-transfer-pytorch	daf144aa1dc43ed869c35685bc9ed2b0cba3988a	[ "MIT" ]	null	null	null	import torch import torch.nn as nn class encoder1(nn.Module): def __init__(self,vgg1): super(encoder1,self).__init__() # dissemble vgg2 and decoder2 layer by layer # then resemble a new encoder-decoder network # 224 x 224 self.conv1 = nn.Conv2d(3,3,1,1,0) self.conv1...	38.16962	82	0.593387	4,400	30,154	4.039318	0.042955	0.021493	0.092275	0.072695	0.914646	0.899792	0.874585	0.8388	0.760254	0.715636	0.1053	0.250448	30,154	789	83	38.217997	0.681046	0.029184	0.675585	0	0	0	0	0	0	0	1	0.033445	false	0	0.003344	0	0.070234	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
2ce7bb4cd496f103286f260627cf5b7f97206249	1,512	py	Python	runtime/bindings/python/src/openvino/__init__.py	monroid/openvino	8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6	[ "Apache-2.0" ]	null	null	null	runtime/bindings/python/src/openvino/__init__.py	monroid/openvino	8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6	[ "Apache-2.0" ]	33	2020-12-02T13:52:11.000Z	2022-02-21T13:14:42.000Z	runtime/bindings/python/src/openvino/__init__.py	monroid/openvino	8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6	[ "Apache-2.0" ]	null	null	null	# Copyright (C) 2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from openvino.pyopenvino import Core from openvino.pyopenvino import IENetwork from openvino.pyopenvino import ExecutableNetwork from openvino.pyopenvino import Version from openvino.pyopenvino import Parameter from openvino.pyopenvino import...	35.162791	69	0.857143	192	1,512	6.661458	0.286458	0.234558	0.344019	0.437842	0.152463	0.043784	0	0	0	0	0.007396	0.10582	1,512	42	70	36	0.938609	0.154101	0	0	0	0	0	0	0.02381	0	1	0	false	0	0.806452	0	0.806452	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	1	0	1	0	6
fa3509d3a8b6aebbe546706779457af4a556636b	2,097	py	Python	bench/pyscripts/testferaggdset.py	josborne-noaa/PyFerret	8496508e9902c0184898522e9f89f6caea6d4539	[ "Unlicense" ]	44	2016-03-18T22:05:31.000Z	2021-12-23T01:50:09.000Z	bench/pyscripts/testferaggdset.py	josborne-noaa/PyFerret	8496508e9902c0184898522e9f89f6caea6d4539	[ "Unlicense" ]	88	2016-08-19T08:05:37.000Z	2022-03-28T23:29:21.000Z	bench/pyscripts/testferaggdset.py	josborne-noaa/PyFerret	8496508e9902c0184898522e9f89f6caea6d4539	[ "Unlicense" ]	24	2016-02-07T18:12:06.000Z	2022-02-19T09:06:17.000Z	# To be run in python after importing and starting pyferret # such as from running "pyferret -python" from __future__ import print_function import sys ; sys.ps1 = '' ; sys.ps2 = '' print() print(">>> dsetnames = ['./data/ens1.nc', './data/ens2.nc', './data/ens3.nc', './data/ens4.nc']") dsetnames = ['./data/ens1.nc',...	32.261538	108	0.696233	239	2,097	6.087866	0.200837	0.131959	0.090722	0.119588	0.798625	0.776632	0.776632	0.776632	0.747766	0.658419	0.007224	0.075823	2,097	64	109	32.765625	0.74355	0.046257	0.603774	0	0.056604	0.474449	0.113727	0	0	0	1	0	false	0	0.037736	0	0.037736	0.622642	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	6
d7270e3ceaa1559179f4d1863d6d31ff224b74d2	244	py	Python	common/dialogflow_framework/extensions/providers.py	oserikov/dream	109ba2df799025dcdada1fddbb7380e1c03100eb	[ "Apache-2.0" ]	34	2021-08-18T14:51:44.000Z	2022-03-10T14:14:48.000Z	common/dialogflow_framework/extensions/providers.py	oserikov/dream	109ba2df799025dcdada1fddbb7380e1c03100eb	[ "Apache-2.0" ]	27	2021-08-30T14:42:09.000Z	2022-03-17T22:11:45.000Z	common/dialogflow_framework/extensions/providers.py	oserikov/dream	109ba2df799025dcdada1fddbb7380e1c03100eb	[ "Apache-2.0" ]	40	2021-08-22T07:13:32.000Z	2022-03-29T11:45:32.000Z	from common.dialogflow_framework.extensions.facts_utils import provide_facts_response def fact_provider(page_source, wiki_page): def response(vars): return provide_facts_response(vars, page_source, wiki_page) return response	27.111111	85	0.803279	32	244	5.78125	0.5625	0.12973	0.216216	0.194595	0	0	0	0	0	0	0	0.139344	244	8	86	30.5	0.880952	0	0	0	0	0	0	0	0	0	1	0.4	false	0	0.2	0.2	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	null	0	0	0	1	0	0	0	1	1	0	6
d7765a2d7e7157c492a3d4200d6b982e883cdad2	181	py	Python	gpu_pairwise/util.py	stestagg/gpu-pairwise-jaccard	4e24703cdc53ae5fecfca02d54131c0ee2113ed3	[ "MIT" ]	2	2021-05-17T07:03:26.000Z	2022-02-24T21:48:12.000Z	gpu_pairwise/util.py	stestagg/gpu-pairwise-jaccard	4e24703cdc53ae5fecfca02d54131c0ee2113ed3	[ "MIT" ]	null	null	null	gpu_pairwise/util.py	stestagg/gpu-pairwise-jaccard	4e24703cdc53ae5fecfca02d54131c0ee2113ed3	[ "MIT" ]	null	null	null	from numba import cuda def check_cuda(): if not cuda.is_available(): raise ImportError('gpu_pairwise requires a CUDA compatible device, and correct CUDA installation')	30.166667	106	0.751381	25	181	5.32	0.84	0	0	0	0	0	0	0	0	0	0	0.18232	181	5	107	36.2	0.898649	0	0	0	0	0.425414	0	0	0	0	1	0.25	true	0	0.5	0	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	1	0	1	0	6
d7926c5bc57c08ae62b34da9ad3a5ea051670fe4	234	py	Python	tests/conftest.py	prowincial/task-for-allegro	3dcaeb4716b9d1683869bedace5a467e38a2a0e2	[ "Apache-2.0" ]	null	null	null	tests/conftest.py	prowincial/task-for-allegro	3dcaeb4716b9d1683869bedace5a467e38a2a0e2	[ "Apache-2.0" ]	null	null	null	tests/conftest.py	prowincial/task-for-allegro	3dcaeb4716b9d1683869bedace5a467e38a2a0e2	[ "Apache-2.0" ]	null	null	null	import pytest from mserver import api def test_user_request(): assert api.user_exists("allegro") == True assert api.user_exists("samara228") == True assert api.user_exists("pochemutakslozhnohmmmm") == True	19.5	61	0.692308	28	234	5.607143	0.535714	0.171975	0.248408	0.363057	0.292994	0	0	0	0	0	0.016129	0.205128	234	11	62	21.272727	0.827957	0	0	0	0	0.173516	0.100457	0	0	0.5	1	0.166667	true	0	0.333333	0	0.5	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	0	0	6
ad0f293ce2a288057ea07297e21504c7669edfd0	1,071	py	Python	sqliteschema/_logger/_null_logger.py	thombashi/sqlitestructure	c599ca889658f3080fbf900110a3edb0541a6d35	[ "MIT" ]	510	2016-05-24T15:11:07.000Z	2022-03-30T00:38:43.000Z	sqliteschema/_logger/_null_logger.py	thombashi/sqlitestructure	c599ca889658f3080fbf900110a3edb0541a6d35	[ "MIT" ]	52	2016-06-14T03:57:04.000Z	2022-03-21T14:38:03.000Z	sqliteschema/_logger/_null_logger.py	thombashi/sqlitestructure	c599ca889658f3080fbf900110a3edb0541a6d35	[ "MIT" ]	39	2016-05-26T15:40:10.000Z	2022-02-25T11:12:16.000Z	class NullLogger: level_name = None def remove(self, handler_id=None): # pragma: no cover pass def add(self, sink, **kwargs): # pragma: no cover pass def disable(self, name): # pragma: no cover pass def enable(self, name): # pragma: no cover pass def crit...	25.5	75	0.5845	131	1,071	4.610687	0.229008	0.172185	0.279801	0.365894	0.768212	0.735099	0.692053	0.599338	0.475166	0	0	0.294118	1,071	41	76	26.121951	0.798942	0.205416	0.464286	0	0	0	0	0	0	0	1	0.464286	false	0.464286	0	0	0.535714	0	0	0	0	null	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	0	6
ad619e87dcd8d17ca86d453e13be533d4cca4be0	135	py	Python	utils/smoothing.py	QingquanBao/VAD	f774fccd56e412d327900742bf93b30acd2a6d78	[ "Apache-2.0" ]	2	2021-05-17T00:43:30.000Z	2021-05-17T01:03:06.000Z	utils/smoothing.py	QingquanBao/VAD	f774fccd56e412d327900742bf93b30acd2a6d78	[ "Apache-2.0" ]	null	null	null	utils/smoothing.py	QingquanBao/VAD	f774fccd56e412d327900742bf93b30acd2a6d78	[ "Apache-2.0" ]	null	null	null	import numpy as np def averageSmooth(data, windowLen=40): return np.convolve(data, np.ones((windowLen,))/windowLen, mode='same')	22.5	74	0.725926	19	135	5.157895	0.736842	0	0	0	0	0	0	0	0	0	0.016949	0.125926	135	5	75	27	0.813559	0	0	0	0	0.029851	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	null	0	0	0	1	0	0	1	1	1	0	6
d129deb639179b32930aaefc402bc0f421e3af8f	45	py	Python	labuda/03.py	mallimuondu/python-homworks	352721a8e77d0b3bdb7a8a54197b6a04e1aec3c0	[ "MIT" ]	null	null	null	labuda/03.py	mallimuondu/python-homworks	352721a8e77d0b3bdb7a8a54197b6a04e1aec3c0	[ "MIT" ]	null	null	null	labuda/03.py	mallimuondu/python-homworks	352721a8e77d0b3bdb7a8a54197b6a04e1aec3c0	[ "MIT" ]	null	null	null	x = lambda a,b,c: a + b + c print(x(4,6,2))	15	27	0.488889	13	45	1.692308	0.692308	0.181818	0.272727	0	0	0	0	0	0	0	0.088235	0.244444	45	3	28	15	0.558824	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.5	1	1	1	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	6
d16d3c261dfda3b867dc6f84d33cc353b0fbeb68	92	py	Python	lib/layers/__init__.py	jwyang/C3Net.pytorch	70026fc80c5427484268c428a9dcd4cde2e8197f	[ "MIT" ]	43	2019-12-13T06:13:40.000Z	2021-07-25T06:29:17.000Z	lib/layers/__init__.py	jwyang/C3Net.pytorch	70026fc80c5427484268c428a9dcd4cde2e8197f	[ "MIT" ]	2	2020-12-05T14:24:17.000Z	2020-12-24T09:47:10.000Z	lib/layers/__init__.py	jwyang/C3Net.pytorch	70026fc80c5427484268c428a9dcd4cde2e8197f	[ "MIT" ]	4	2019-12-16T20:25:20.000Z	2020-06-23T08:45:17.000Z	from .cross_neuron_distributed import * from .selayer import * from .data_parallel import *	23	39	0.804348	12	92	5.916667	0.666667	0.28169	0	0	0	0	0	0	0	0	0	0.130435	92	3	40	30.666667	0.8875	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
d174c466677718f977c4bf5548d3c82cf04c58fe	42	py	Python	src/aceinna/devices/__init__.py	LukaszChl/ros_openimu	1bcf547fa42ee7c7dcc856c1d4eb5702d301b059	[ "Apache-2.0" ]	41	2018-07-20T17:30:33.000Z	2022-02-24T08:17:39.000Z	src/aceinna/devices/__init__.py	LukaszChl/ros_openimu	1bcf547fa42ee7c7dcc856c1d4eb5702d301b059	[ "Apache-2.0" ]	52	2018-06-25T22:15:14.000Z	2022-03-10T07:30:56.000Z	src/aceinna/devices/__init__.py	LukaszChl/ros_openimu	1bcf547fa42ee7c7dcc856c1d4eb5702d301b059	[ "Apache-2.0" ]	31	2018-12-19T00:10:08.000Z	2022-03-19T02:14:03.000Z	from .device_manager import DeviceManager	21	41	0.880952	5	42	7.2	1	0	0	0	0	0	0	0	0	0	0	0.095238	42	1	42	42	0.947368	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
0f0834a380e85cf649ad2a33de351c7d03c8435a	161	py	Python	winter/pagination/sort/__init__.py	EvgenySmekalin/winter	24b6a02f958478547a4a120324823743a1f7e1a1	[ "MIT" ]	1	2020-03-28T14:54:28.000Z	2020-03-28T14:54:28.000Z	winter/pagination/sort/__init__.py	EvgenySmekalin/winter	24b6a02f958478547a4a120324823743a1f7e1a1	[ "MIT" ]	null	null	null	winter/pagination/sort/__init__.py	EvgenySmekalin/winter	24b6a02f958478547a4a120324823743a1f7e1a1	[ "MIT" ]	null	null	null	from .order_by import order_by from .order_by_annotation import OrderByAnnotation from .sort import Order from .sort import Sort from .sort import SortDirection	26.833333	50	0.84472	24	161	5.5	0.333333	0.159091	0.318182	0	0	0	0	0	0	0	0	0.124224	161	5	51	32.2	0.93617	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	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	null	0	0	0	0	1	0	1	0	1	0	6
0f0a27d752be14f249538a906df4d553109d2060	10,078	py	Python	lcr.py	EroSkulled/PHY224-324	060a020d75e938d240d926e05e41f8e5c4bf435a	[ "MIT" ]	null	null	null	lcr.py	EroSkulled/PHY224-324	060a020d75e938d240d926e05e41f8e5c4bf435a	[ "MIT" ]	null	null	null	lcr.py	EroSkulled/PHY224-324	060a020d75e938d240d926e05e41f8e5c4bf435a	[ "MIT" ]	null	null	null	import numpy as np from scipy.optimize import curve_fit import matplotlib.pyplot as plt import pandas as pd def rcs(pred, target, uncertainty, n_params): return np.square((pred - target) / uncertainty).sum() / (pred.size - n_params) def rc(x, r, c): return np.exp(-x / (r * c)) def rc_(x, tao): return ...	32.614887	116	0.6667	1,668	10,078	3.886091	0.121703	0.019747	0.013885	0.019747	0.846961	0.830299	0.820734	0.788337	0.774761	0.75054	0.038187	0.152907	10,078	308	117	32.720779	0.721096	0.137527	0.573529	0	0	0.213747	0.042146	0	0.003247	0	1	0.034314	false	0	0.019608	0.019608	0.088235	0.053922	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
0f2b7512dc0706e5b95f5cd69f5503abd3f9a817	143	py	Python	mshow/__init__.py	nishantsinghdev/mshow	f2f1c810a1ba30d2823843ef78812bea4d59ea4f	[ "MIT" ]	null	null	null	mshow/__init__.py	nishantsinghdev/mshow	f2f1c810a1ba30d2823843ef78812bea4d59ea4f	[ "MIT" ]	null	null	null	mshow/__init__.py	nishantsinghdev/mshow	f2f1c810a1ba30d2823843ef78812bea4d59ea4f	[ "MIT" ]	null	null	null	def info(): print("Library By : Nishant Singh\n") def show(): print("Hello Guys !!\n Its a sample fun() for Suprath Technologies.\n")	23.833333	75	0.643357	22	143	4.181818	0.818182	0	0	0	0	0	0	0	0	0	0	0.195804	143	5	76	28.6	0.8	0	0	0	0	0.629371	0	0	0	0	1	0.5	true	0	0	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	1	1	0	0	0	0	1	6
0f3c9259213d7098389f8c5e114f5b665c13da30	1,020	py	Python	plot_solution.py	zhang-liu-official/project3-pinn-test	fcf586a4b15176ee4595bcb5c9b0bc9f3b18f5a8	[ "Apache-2.0" ]	null	null	null	plot_solution.py	zhang-liu-official/project3-pinn-test	fcf586a4b15176ee4595bcb5c9b0bc9f3b18f5a8	[ "Apache-2.0" ]	null	null	null	plot_solution.py	zhang-liu-official/project3-pinn-test	fcf586a4b15176ee4595bcb5c9b0bc9f3b18f5a8	[ "Apache-2.0" ]	null	null	null	import numpy as np import matplotlib.pyplot as plt from mpl_toolkits import mplot3d data = np.genfromtxt("test.dat", delimiter=' ') theta = data[:, 0] x = np.cos(theta) y = np.sin(theta) true = data[:, 1] pred = data[:, 2] fig, ax = plt.subplots(nrows=1) ax.tricontour(x, y, true, levels=14, linewidths=0.5, colors='k'...	23.181818	64	0.652941	178	1,020	3.719101	0.264045	0.018127	0.036254	0.072508	0.930514	0.906344	0.906344	0.906344	0.906344	0.906344	0.028736	0.147059	1,020	43	65	23.72093	0.732184	0.313725	0.380952	0	0	0.039416	0	0	0	0	1	0	false	0	0.142857	0	0.142857	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
0f623dd0fee1d6322211f8a46e5280758ead581b	67	py	Python	chap10/pack/sub/abc.py	ytianjin/GitTest	a657f46098728ad90f7140fadad356e8561c9a7a	[ "MIT" ]	null	null	null	chap10/pack/sub/abc.py	ytianjin/GitTest	a657f46098728ad90f7140fadad356e8561c9a7a	[ "MIT" ]	null	null	null	chap10/pack/sub/abc.py	ytianjin/GitTest	a657f46098728ad90f7140fadad356e8561c9a7a	[ "MIT" ]	null	null	null	# pack.sub.abc模块 def func(): print('pack.sub.abc.func()')	13.4	33	0.567164	10	67	3.8	0.7	0.368421	0	0	0	0	0	0	0	0	0	0.208955	67	4	34	16.75	0.716981	0.208955	0	0	0	0.404255	0	0	0	0	1	0.5	true	0	0	0	0.5	0.5	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	0	1	6
7e25bff9d2845fb6e4e774224f2aaa3a3dffb01c	9,711	py	Python	sec/fscModule.py	srccircumflex/SefiTrash	ba950f67dcd70eb34312ffeafb257df06d276913	[ "MIT" ]	null	null	null	sec/fscModule.py	srccircumflex/SefiTrash	ba950f67dcd70eb34312ffeafb257df06d276913	[ "MIT" ]	null	null	null	sec/fscModule.py	srccircumflex/SefiTrash	ba950f67dcd70eb34312ffeafb257df06d276913	[ "MIT" ]	null	null	null	from sec import fscFunction, fscIO from sys import stdout, stderr from time import time coding_a = 'ISO-8859-1' bench_out = stderr class FStreamCipher: def __init__(self, ib:bytes, seed:str, ilv:int=0, pp:tuple=(0, 1), hps:int=3, v:str=None): global coding_a self.enc = coding_a self.ib = ...	41.148305	109	0.504274	1,290	9,711	3.855039	0.082171	0.039815	0.032576	0.026543	0.882365	0.866077	0.85562	0.835713	0.8148	0.774382	0.028349	0.338894	9,711	235	110	41.323404	0.715421	0	0.694064	0	0	0.073422	0.021625	0	0	0	1	0.054795	false	0	0.013699	0.004566	0.155251	0.136986	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
7e2bf670f8d025f4b7e81b525530bb1c670e74d4	21,576	py	Python	tests/unit/topotools/GraphToolsTest.py	edgargmartinez/OpenPNM	c68745993b3e9895f53938164a9cf6305500748e	[ "MIT" ]	3	2019-07-05T22:07:21.000Z	2019-07-05T22:07:30.000Z	tests/unit/topotools/GraphToolsTest.py	ChahatAggarwal/OpenPNM	b3873d35270b0acaad019264368d0055c677d159	[ "MIT" ]	null	null	null	tests/unit/topotools/GraphToolsTest.py	ChahatAggarwal/OpenPNM	b3873d35270b0acaad019264368d0055c677d159	[ "MIT" ]	null	null	null	import openpnm as op import numpy as np import pytest from openpnm import topotools class GraphToolsTest: def setup_class(self): r""" Make a nice and simple network to test stuff The Network: :: 3 ― 4 ― 5 \| \ \| 0 ― 1 ― 2 The Adja...	44.122699	79	0.548387	2,919	21,576	3.923261	0.049675	0.107841	0.082606	0.047677	0.910496	0.884998	0.861422	0.814967	0.788858	0.749913	0.034189	0.314053	21,576	488	80	44.213115	0.733919	0.062616	0.640199	0	0	0.016101	0	0	0	0.320099	1	0.091811	false	0	0.009926	0	0.104218	0.002481	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
7e61c26afe4af7e4cfd772a3f9f2754a5b12b5f4	123	py	Python	deuces_numpy/__init__.py	grabantot/deuces-numpy	ff0d7649bad9e2db04aa6f3a51f408176dc80025	[ "MIT" ]	1	2020-02-18T03:08:44.000Z	2020-02-18T03:08:44.000Z	deuces_numpy/__init__.py	grabantot/deuces-numpy	ff0d7649bad9e2db04aa6f3a51f408176dc80025	[ "MIT" ]	null	null	null	deuces_numpy/__init__.py	grabantot/deuces-numpy	ff0d7649bad9e2db04aa6f3a51f408176dc80025	[ "MIT" ]	null	null	null	from .card import Card from .deck import Deck from .evaluator import Evaluator from .evaluator_numpy import EvaluatorNumpy	24.6	43	0.837398	17	123	6	0.411765	0.254902	0	0	0	0	0	0	0	0	0	0.130081	123	4	44	30.75	0.953271	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
7e72703e8186644e7d088906ee4e591c9c8933f4	126	py	Python	main/views.py	sfawcett123/Django-DCC	b19287ff2b0610f4dbb6cfcf94ca29029e449b7f	[ "MIT" ]	null	null	null	main/views.py	sfawcett123/Django-DCC	b19287ff2b0610f4dbb6cfcf94ca29029e449b7f	[ "MIT" ]	null	null	null	main/views.py	sfawcett123/Django-DCC	b19287ff2b0610f4dbb6cfcf94ca29029e449b7f	[ "MIT" ]	null	null	null	from django.shortcuts import render def homepage(request): return render(request = request, template_name="main/home.html" )	31.5	66	0.793651	17	126	5.823529	0.823529	0	0	0	0	0	0	0	0	0	0	0.103175	126	4	66	31.5	0.876106	0	0	0	0	0.110236	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	null	0	0	0	1	0	0	1	1	1	0	6
7e7e5a5b174edec8a01206e1a4ec02ea683ae133	30	py	Python	Scripts/kim.py	kenanchristian/hacktoberfest	b55750bf4facb77abd532b66ed37101e2895c4d7	[ "MIT" ]	8	2020-10-26T06:51:06.000Z	2021-04-02T13:01:27.000Z	Scripts/kim.py	kenanchristian/hacktoberfest	b55750bf4facb77abd532b66ed37101e2895c4d7	[ "MIT" ]	71	2020-10-25T22:46:02.000Z	2021-10-14T06:47:39.000Z	Scripts/kim.py	kenanchristian/hacktoberfest	b55750bf4facb77abd532b66ed37101e2895c4d7	[ "MIT" ]	77	2020-10-24T01:53:46.000Z	2021-10-01T06:25:27.000Z	## print("Hello Kimbo!")	3.75	21	0.5	3	30	5	1	0	0	0	0	0	0	0	0	0	0	0.266667	30	7	22	4.285714	0.681818	0	0	0	0	0.5	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	1	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	6
0e32b6d69e388285892159e269f26e3ecb7eaca9	41	py	Python	app/provider/__init__.py	sh-hka/HCP-Project	17e7e03560479cca4c2dcdfd325668beac4ebaf0	[ "MIT" ]	null	null	null	app/provider/__init__.py	sh-hka/HCP-Project	17e7e03560479cca4c2dcdfd325668beac4ebaf0	[ "MIT" ]	28	2019-11-15T22:34:57.000Z	2019-12-23T20:28:30.000Z	app/provider/__init__.py	sh-hka/HCP-Project	17e7e03560479cca4c2dcdfd325668beac4ebaf0	[ "MIT" ]	8	2019-10-16T19:22:16.000Z	2019-12-22T01:29:31.000Z	from app.provider.models import Provider	20.5	40	0.853659	6	41	5.833333	0.833333	0	0	0	0	0	0	0	0	0	0	0.097561	41	1	41	41	0.945946	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
0e382e138352e58e2b8c5e3b04281c046cd99f12	120	py	Python	extorch/vision/__init__.py	A-LinCui/Extorch	70e2100636c68c803a1e763fbf11d8ede73c0d37	[ "MIT" ]	2	2021-09-11T16:09:05.000Z	2022-03-05T08:02:05.000Z	extorch/vision/__init__.py	A-LinCui/Extorch	70e2100636c68c803a1e763fbf11d8ede73c0d37	[ "MIT" ]	null	null	null	extorch/vision/__init__.py	A-LinCui/Extorch	70e2100636c68c803a1e763fbf11d8ede73c0d37	[ "MIT" ]	null	null	null	from .functional import get_image_size from .transforms import * from .paired_transform import * from .dataset import *	24	38	0.808333	16	120	5.875	0.625	0.212766	0	0	0	0	0	0	0	0	0	0.133333	120	4	39	30	0.903846	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
0e486124eebf80e443659aff3379202e05ad2a9a	162	py	Python	farmer/ncc/validations/__init__.py	tamahassam/farmer	512c6fcd5dc5aa223a0fad02527d8000a4cc9ab4	[ "Apache-2.0" ]	10	2019-04-04T07:32:47.000Z	2021-01-07T00:40:50.000Z	farmer/ncc/validations/__init__.py	tamahassam/farmer	512c6fcd5dc5aa223a0fad02527d8000a4cc9ab4	[ "Apache-2.0" ]	59	2019-04-18T05:44:31.000Z	2021-05-02T10:33:02.000Z	farmer/ncc/validations/__init__.py	tamahassam/farmer	512c6fcd5dc5aa223a0fad02527d8000a4cc9ab4	[ "Apache-2.0" ]	4	2020-01-23T14:01:43.000Z	2021-02-11T04:16:14.000Z	from .confidence_plot import confidence_plot from .confusion_visualize import confusion_visualize from .pca import pca from .classify_movie import classify_movie	32.4	52	0.876543	22	162	6.181818	0.409091	0.205882	0	0	0	0	0	0	0	0	0	0.098765	162	4	53	40.5	0.931507	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
0e9e12434ceb6ff1fb3ae8b7f9b685af2b318c07	178	py	Python	src/pycellfinder/tests/test_pycellfinder.py	linuxluigi/PyCellFinder	07235ef4fd50d9497b10c645dd7f477bfb08c2ba	[ "MIT" ]	null	null	null	src/pycellfinder/tests/test_pycellfinder.py	linuxluigi/PyCellFinder	07235ef4fd50d9497b10c645dd7f477bfb08c2ba	[ "MIT" ]	null	null	null	src/pycellfinder/tests/test_pycellfinder.py	linuxluigi/PyCellFinder	07235ef4fd50d9497b10c645dd7f477bfb08c2ba	[ "MIT" ]	null	null	null	import pytest import pycellfinder def test_project_defines_author_and_version(): assert hasattr(pycellfinder, '__author__') assert hasattr(pycellfinder, '__version__')	22.25	47	0.803371	19	178	6.842105	0.631579	0.2	0.384615	0	0	0	0	0	0	0	0	0.123596	178	7	48	25.428571	0.833333	0	0	0	0	0.117978	0	0	0	0.4	1	0.2	true	0	0.4	0	0.6	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
0eac1952e3aec169b7f76cba2341e2a2642f2efe	48	py	Python	quantum-black-box/gym-stirap/gym_stirap/envs/__init__.py	Hegemege/quantum-jazz	4e92db5bf7103109f1f8d8a769b1f0342b4dd6ed	[ "MIT" ]	1	2020-03-16T18:33:32.000Z	2020-03-16T18:33:32.000Z	quantum-black-box/gym-stirap/gym_stirap/envs/__init__.py	Hegemege/quantum-jazz	4e92db5bf7103109f1f8d8a769b1f0342b4dd6ed	[ "MIT" ]	null	null	null	quantum-black-box/gym-stirap/gym_stirap/envs/__init__.py	Hegemege/quantum-jazz	4e92db5bf7103109f1f8d8a769b1f0342b4dd6ed	[ "MIT" ]	null	null	null	from gym_stirap.envs.stirap_env import StirapEnv	48	48	0.895833	8	48	5.125	0.875	0	0	0	0	0	0	0	0	0	0	0.0625	48	1	48	48	0.911111	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
adfd9eec42643c936eff0422179ad5e3bbd362ef	20	py	Python	elliot/evaluation/metrics/accuracy/mar/__init__.py	gategill/elliot	113763ba6d595976e14ead2e3d460d9705cd882e	[ "Apache-2.0" ]	175	2021-03-04T15:46:25.000Z	2022-03-31T05:56:58.000Z	elliot/evaluation/metrics/accuracy/mar/__init__.py	gategill/elliot	113763ba6d595976e14ead2e3d460d9705cd882e	[ "Apache-2.0" ]	15	2021-03-06T17:53:56.000Z	2022-03-24T17:02:07.000Z	elliot/evaluation/metrics/accuracy/mar/__init__.py	gategill/elliot	113763ba6d595976e14ead2e3d460d9705cd882e	[ "Apache-2.0" ]	39	2021-03-04T15:46:26.000Z	2022-03-09T15:37:12.000Z	from .mar import MAR	20	20	0.8	4	20	4	0.75	0	0	0	0	0	0	0	0	0	0	0.15	20	1	20	20	0.941176	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
70b1ee207931ebc821a5a200614ddb0575317cd4	520	py	Python	creten/clients/BinanceSimulationDataListener.py	nardew/Creten	15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6	[ "MIT" ]	9	2019-12-17T10:42:40.000Z	2021-12-02T23:07:05.000Z	creten/clients/BinanceSimulationDataListener.py	nardew/Creten	15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6	[ "MIT" ]	null	null	null	creten/clients/BinanceSimulationDataListener.py	nardew/Creten	15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6	[ "MIT" ]	6	2019-03-04T15:01:10.000Z	2022-01-12T23:22:55.000Z	from clients.BinanceDataListener import BinanceDataListener from common.ListOperations import makeList class BinanceSimulationDataListener(BinanceDataListener): def __init__(self, exchangeClient, marketDataManager, marketRulesManager, portfolioManager, orderManager): super(BinanceSimulationDataListener, self).__ini...	43.333333	140	0.851923	43	520	10.116279	0.511628	0.142529	0.225287	0.298851	0.354023	0	0	0	0	0	0	0.084615	520	12	141	43.333333	0.913866	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.222222	0.222222	0.888889	0	0	0	1	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	1	0	6
70d9c9e8c9ee72708d36d75fa35869c31bff605b	2,303	py	Python	epytope/Data/pssms/smmpmbec/mat/A_11_01_9.py	christopher-mohr/epytope	8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd	[ "BSD-3-Clause" ]	7	2021-02-01T18:11:28.000Z	2022-01-31T19:14:07.000Z	epytope/Data/pssms/smmpmbec/mat/A_11_01_9.py	christopher-mohr/epytope	8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd	[ "BSD-3-Clause" ]	22	2021-01-02T15:25:23.000Z	2022-03-14T11:32:53.000Z	epytope/Data/pssms/smmpmbec/mat/A_11_01_9.py	christopher-mohr/epytope	8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd	[ "BSD-3-Clause" ]	4	2021-05-28T08:50:38.000Z	2022-03-14T11:45:32.000Z	A_11_01_9 = {0: {'A': -0.4, 'C': 0.103, 'E': 0.501, 'D': 0.707, 'G': -0.17, 'F': 0.166, 'I': -0.159, 'H': -0.028, 'K': -0.342, 'M': -0.353, 'L': -0.003, 'N': 0.328, 'Q': 0.033, 'P': 0.692, 'S': -0.533, 'R': -0.338, 'T': -0.389, 'W': 0.385, 'V': -0.227, 'Y': 0.029}, 1: {'A': -0.433, 'C': 0.738, 'E': 0.428, 'D': 0.355, '...	2,303	2,303	0.395571	557	2,303	1.630162	0.332136	0.019824	0	0	0	0	0	0	0	0	0.37513	0.161963	2,303	1	2,303	2,303	0.095337	0	0	0	0	0.079427	0	0	0	0	1	0	false	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	1	1	1	1	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
cb0234a20791b01e73fbee9bc5a71221a5d69913	323	py	Python	tests/test_error.py	cardforcoin/sockfilter	431249e1351055e35e6411a695f9bab3bdaba0f6	[ "MIT" ]	1	2015-07-10T06:43:47.000Z	2015-07-10T06:43:47.000Z	tests/test_error.py	thesis/sockfilter	431249e1351055e35e6411a695f9bab3bdaba0f6	[ "MIT" ]	1	2015-03-19T18:56:51.000Z	2015-03-19T19:00:51.000Z	tests/test_error.py	thesis/sockfilter	431249e1351055e35e6411a695f9bab3bdaba0f6	[ "MIT" ]	2	2017-06-16T17:05:23.000Z	2017-06-16T17:05:42.000Z	from sockfilter import SockFilterError def test_error_equality(): assert SockFilterError(address=('google.com', 80)) \ == SockFilterError(address=('google.com', 80)) def test_error_inequality(): assert SockFilterError(address=('google.com', 80)) \ != SockFilterError(address=('google.com', 81...	26.916667	56	0.696594	34	323	6.5	0.441176	0.39819	0.506787	0.561086	0.642534	0.633484	0.633484	0.633484	0.633484	0.633484	0.029304	0.154799	323	11	57	29.363636	0.78022	0	0.285714	0	0	0.123839	0	0	0	0.285714	1	0.285714	true	0	0.142857	0	0.428571	0	0	0	0	null	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	0	0	6
cb0b8a07db40b50705f7db25ece61a27879444a2	12,060	py	Python	cayley_adam/grassmann_optimizer.py	taralloc/deeprkm	d7975855be31c096515a976539768caac296c30d	[ "MIT" ]	3	2021-05-03T07:42:13.000Z	2022-01-10T10:58:23.000Z	cayley_adam/grassmann_optimizer.py	taralloc/deeprkm	d7975855be31c096515a976539768caac296c30d	[ "MIT" ]	null	null	null	cayley_adam/grassmann_optimizer.py	taralloc/deeprkm	d7975855be31c096515a976539768caac296c30d	[ "MIT" ]	null	null	null	#from .optimizer import Optimizer, required import torch from torch.optim.optimizer import Optimizer, required import numpy as np from gutils import unit from gutils import gproj from gutils import clip_by_norm from gutils import xTy from gutils import gexp from gutils import gpt from gutils import gpt2 ...	42.020906	108	0.51932	1,328	12,060	4.579066	0.152108	0.049334	0.02368	0.031574	0.819602	0.779642	0.773393	0.772899	0.772899	0.757441	0.015862	0.388391	12,060	286	109	42.167832	0.808568	0.277197	0.676647	0	0	0.074033	0	0	0	0	1	0.035928	false	0	0.065868	0	0.125749	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
cb0dccc89b5cdc57217f392f3c607527c0309853	166	py	Python	hello_python.py	mikvikpik/Project_Training	4d55b092f6cee696cbd93ec3d018de5ba2135167	[ "MIT" ]	1	2020-01-17T01:06:17.000Z	2020-01-17T01:06:17.000Z	hello_python.py	mikvikpik/Project_Training	4d55b092f6cee696cbd93ec3d018de5ba2135167	[ "MIT" ]	null	null	null	hello_python.py	mikvikpik/Project_Training	4d55b092f6cee696cbd93ec3d018de5ba2135167	[ "MIT" ]	null	null	null	message = "Hello Python world!" print(message) message = "Hello Python Crash Course world!" print(message) mesage = "Hello Python Crash Course reader!" print(mesage)	23.714286	44	0.759036	22	166	5.727273	0.409091	0.261905	0.285714	0.349206	0	0	0	0	0	0	0	0.13253	166	6	45	27.666667	0.875	0	0.333333	0	0	0.506024	0	0	0	0	1	0	false	0	0	0	0	0.5	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	6
cb22022b4c711ae02c5f87fd337ee5385b6dbc00	44	py	Python	static/templates/gen.py	nilox94/acmx	a680bca10259a53a14bd7e2a42eed4d1cc5a9f13	[ "MIT" ]	127	2019-01-09T03:08:59.000Z	2022-03-22T09:37:19.000Z	static/templates/gen.py	nilox94/acmx	a680bca10259a53a14bd7e2a42eed4d1cc5a9f13	[ "MIT" ]	102	2019-04-14T05:40:54.000Z	2022-02-07T13:21:36.000Z	baekjoon/python/make_1_2_gen.py	yskang/AlgorithmPractice	31b76e38b4c2f1e3e29fb029587662a745437912	[ "MIT" ]	23	2019-04-14T11:01:51.000Z	2021-09-13T18:11:18.000Z	import random print(random.randint(1, 100))	14.666667	29	0.772727	7	44	4.857143	0.857143	0	0	0	0	0	0	0	0	0	0.1	0.090909	44	3	29	14.666667	0.75	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	6
cb3c8cf4a8a488bd5d661fc96b5269a3368bdc3f	46	py	Python	docker/download.py	Pbatch/pictionary	d6c19c7d099b4b59834349420b7491ea5c46a57d	[ "MIT" ]	3	2021-06-16T15:12:55.000Z	2021-06-20T09:30:40.000Z	docker/download.py	Pbatch/pictionary	d6c19c7d099b4b59834349420b7491ea5c46a57d	[ "MIT" ]	null	null	null	docker/download.py	Pbatch/pictionary	d6c19c7d099b4b59834349420b7491ea5c46a57d	[ "MIT" ]	null	null	null	from utils import download_vit download_vit()	15.333333	30	0.847826	7	46	5.285714	0.714286	0.594595	0	0	0	0	0	0	0	0	0	0.108696	46	3	31	15.333333	0.902439	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	null	0	0	0	0	1	0	1	0	0	0	6
cb545b1b0c3dd8dfb691bb3d60a69feab99ebb9b	159	py	Python	src/credo_cf/image/__init__.py	dzwiedziu-nkg/credo-classify-framework	45417b505b4f4b20a7248f3487ca57a3fd49ccee	[ "MIT" ]	null	null	null	src/credo_cf/image/__init__.py	dzwiedziu-nkg/credo-classify-framework	45417b505b4f4b20a7248f3487ca57a3fd49ccee	[ "MIT" ]	null	null	null	src/credo_cf/image/__init__.py	dzwiedziu-nkg/credo-classify-framework	45417b505b4f4b20a7248f3487ca57a3fd49ccee	[ "MIT" ]	3	2020-06-19T15:41:19.000Z	2020-06-29T12:47:05.000Z	from credo_cf.image.image_utils import load_image, image_basic_metrics from credo_cf.image.gray import convert_to_gray, gray_avg, gray_max, gray_min, gray_rgb	53	87	0.861635	29	159	4.310345	0.551724	0.144	0.176	0.256	0	0	0	0	0	0	0	0.081761	159	2	88	79.5	0.856164	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
cb94be1a0206e01f862cc451306e79934b57ba52	35	py	Python	bank_ddd_es_cqrs/accounts/api/__init__.py	Hyaxia/Bank-DDD-CQRS-ES	116e3eb3e93d549c1da53e6d506ab47667d77445	[ "MIT" ]	8	2020-10-27T09:46:20.000Z	2022-01-27T12:16:48.000Z	bank_ddd_es_cqrs/accounts/api/__init__.py	Hyaxia/Bank-DDD-CQRS-ES	116e3eb3e93d549c1da53e6d506ab47667d77445	[ "MIT" ]	null	null	null	bank_ddd_es_cqrs/accounts/api/__init__.py	Hyaxia/Bank-DDD-CQRS-ES	116e3eb3e93d549c1da53e6d506ab47667d77445	[ "MIT" ]	2	2021-05-29T08:11:48.000Z	2021-07-26T04:44:53.000Z	from .api import account_blueprint	17.5	34	0.857143	5	35	5.8	1	0	0	0	0	0	0	0	0	0	0	0.114286	35	1	35	35	0.935484	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	6
cbd53e60dc0d252fdf8db730502a5b3a5150f3f5	84	py	Python	haravan/resources/note_attribute.py	vivekpatel111/HaravanAPI	bec18d43b485c966e1396ce990c7b0fd40c96de0	[ "MIT" ]	null	null	null	haravan/resources/note_attribute.py	vivekpatel111/HaravanAPI	bec18d43b485c966e1396ce990c7b0fd40c96de0	[ "MIT" ]	null	null	null	haravan/resources/note_attribute.py	vivekpatel111/HaravanAPI	bec18d43b485c966e1396ce990c7b0fd40c96de0	[ "MIT" ]	1	2019-03-08T06:28:48.000Z	2019-03-08T06:28:48.000Z	from ..base import HaravanResource class NoteAttribute(HaravanResource): pass	14	37	0.785714	8	84	8.25	0.875	0	0	0	0	0	0	0	0	0	0	0.154762	84	5	38	16.8	0.929577	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	null	0	0	0	0	1	1	1	0	1	0	6
1ddb58f9f9de5d558b75cd3883b23cbf63054199	99	py	Python	raspberry_cereal/constants.py	hfaran/raspberry-cereal	d6cc1ca98800422d961f71024b6a5eb7cec2dccf	[ "MIT" ]	7	2016-02-04T22:31:52.000Z	2019-04-11T15:02:58.000Z	raspberry_cereal/constants.py	hfaran/raspberry-cereal	d6cc1ca98800422d961f71024b6a5eb7cec2dccf	[ "MIT" ]	2	2016-10-25T17:06:00.000Z	2016-11-05T09:59:24.000Z	raspberry_cereal/constants.py	hfaran/raspberry-cereal	d6cc1ca98800422d961f71024b6a5eb7cec2dccf	[ "MIT" ]	null	null	null	CONFIG_PATH = '/etc/raspberry-cereal/raspberry_cereal.cfg' CONFIG_DIR = '/etc/raspberry-cereal/'	33	59	0.767677	13	99	5.615385	0.538462	0.616438	0.493151	0	0	0	0	0	0	0	0	0.080808	99	2	60	49.5	0.802198	0	0	0	0	0.659794	0.659794	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	6
1de7118db8a2a26073cd017bd04128eea22ee993	48	py	Python	archive/utils/__init__.py	pydget/xbrief	9e91927a98754b0fca1fa55eae9a785b15e963f9	[ "MIT" ]	null	null	null	archive/utils/__init__.py	pydget/xbrief	9e91927a98754b0fca1fa55eae9a785b15e963f9	[ "MIT" ]	null	null	null	archive/utils/__init__.py	pydget/xbrief	9e91927a98754b0fca1fa55eae9a785b15e963f9	[ "MIT" ]	null	null	null	from .preci import Preci from .curt import Curt	16	24	0.791667	8	48	4.75	0.5	0	0	0	0	0	0	0	0	0	0	0.166667	48	2	25	24	0.95	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
381388a86af49ca14fbd6e6739686b31e1b70797	425,329	py	Python	src/resources.py	1MLightyears/AuraProII	c4d98f98f556d69bdd90b4063f57b5df40ba3d54	[ "Apache-2.0" ]	1	2020-10-09T10:41:35.000Z	2020-10-09T10:41:35.000Z	src/resources.py	1MLightyears/AuraProII	c4d98f98f556d69bdd90b4063f57b5df40ba3d54	[ "Apache-2.0" ]	null	null	null	src/resources.py	1MLightyears/AuraProII	c4d98f98f556d69bdd90b4063f57b5df40ba3d54	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.15.0) # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore qt_resource_data = b"\ \x00\x00\x79\xf4\ \x89\ \x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\ ...	66.572077	104	0.716325	101,475	425,329	3.002079	0.003025	0.153724	0.200807	0.2666	0.350238	0.292293	0.25734	0.229372	0.225886	0.22241	0.249185	0.030245	425,329	6,388	105	66.582498	0.489389	0.000357	0.165097	0	0.993409	0.000002	0	1	0	0	1	0.000314	false	0	0.000157	0	0.000471	0	0	0	0	null	0	1	1	0	0	0	0	0	0	1	0	0	0	1	0	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	6
3843ef8669ec42e94478d18d7dee86428d703385	88	py	Python	pvinspect/preproc/__init__.py	KuZero/pvinspect	7d6666c509573fdb36e5312fed1e68d5ec47f2ce	[ "Apache-2.0" ]	null	null	null	pvinspect/preproc/__init__.py	KuZero/pvinspect	7d6666c509573fdb36e5312fed1e68d5ec47f2ce	[ "Apache-2.0" ]	null	null	null	pvinspect/preproc/__init__.py	KuZero/pvinspect	7d6666c509573fdb36e5312fed1e68d5ec47f2ce	[ "Apache-2.0" ]	null	null	null	"""Methods for preprocessing data""" from . import calibration from . import detection	17.6	36	0.761364	10	88	6.7	0.8	0.298507	0	0	0	0	0	0	0	0	0	0.147727	88	4	37	22	0.893333	0.340909	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
699bb9331140aeb26f14a0a6670a13bcc212584b	123	py	Python	isobus/__init__.py	jboomer/python-isobus	da09e6ecaf27a540a87d19319e4bdeb36685aea3	[ "MIT" ]	14	2017-01-25T06:52:56.000Z	2022-01-10T09:57:59.000Z	isobus/__init__.py	jboomer/python-isobus	da09e6ecaf27a540a87d19319e4bdeb36685aea3	[ "MIT" ]	1	2020-01-05T15:42:29.000Z	2020-01-28T20:47:45.000Z	isobus/__init__.py	jboomer/python-isobus	da09e6ecaf27a540a87d19319e4bdeb36685aea3	[ "MIT" ]	9	2020-01-19T05:03:32.000Z	2022-02-09T18:11:56.000Z	""" ISOBUS description """ # isobus imports: from isobus.vt.client import VTClient from isobus.common import IBSException	20.5	38	0.780488	15	123	6.4	0.666667	0.208333	0	0	0	0	0	0	0	0	0	0.130081	123	5	39	24.6	0.897196	0.292683	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
0e0316fe1f5abd1f403cb488bbeea233f77945e9	127	py	Python	magpy/__init__.py	owlas/magpy	45c1332209154ef6be863e4797054a0b642493ec	[ "BSD-3-Clause" ]	5	2017-11-13T21:55:45.000Z	2020-12-29T10:42:41.000Z	magpy/__init__.py	owlas/magpy	45c1332209154ef6be863e4797054a0b642493ec	[ "BSD-3-Clause" ]	9	2017-10-06T09:30:08.000Z	2018-02-17T17:17:38.000Z	magpy/__init__.py	owlas/magpy	45c1332209154ef6be863e4797054a0b642493ec	[ "BSD-3-Clause" ]	2	2017-11-24T16:18:46.000Z	2020-06-08T11:54:40.000Z	from . import geometry from . import initial_conditions from . import results from .model import Model, EnsembleModel, DOModel	25.4	48	0.811024	16	127	6.375	0.5625	0.294118	0	0	0	0	0	0	0	0	0	0.141732	127	4	49	31.75	0.93578	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
3853a4e1ec1eee5dd1cad8dd671e7e75c18b67cc	166	py	Python	core/eval/__init__.py	youngzhou1999/DI-drive	73f0009503f78cfa1347fcc57b80d274a0b3824f	[ "Apache-2.0" ]	21	2022-02-15T10:11:54.000Z	2022-03-24T17:44:29.000Z	core/eval/__init__.py	youngzhou1999/DI-drive	73f0009503f78cfa1347fcc57b80d274a0b3824f	[ "Apache-2.0" ]	null	null	null	core/eval/__init__.py	youngzhou1999/DI-drive	73f0009503f78cfa1347fcc57b80d274a0b3824f	[ "Apache-2.0" ]	3	2022-02-22T11:11:43.000Z	2022-03-17T17:58:44.000Z	from .single_carla_evaluator import SingleCarlaEvaluator from .carla_benchmark_evaluator import CarlaBenchmarkEvaluator from .serial_evaluator import SerialEvaluator	41.5	62	0.909639	17	166	8.588235	0.588235	0.308219	0	0	0	0	0	0	0	0	0	0.072289	166	3	63	55.333333	0.948052	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
388cbc82a2c77ea27d3776e057f0a7a85d4ea7d8	397	py	Python	oemof/solph/__init__.py	jnnr/oemof	83cfc0b6187906d85ebd0c4ea2788e0091dc82f7	[ "MIT" ]	null	null	null	oemof/solph/__init__.py	jnnr/oemof	83cfc0b6187906d85ebd0c4ea2788e0091dc82f7	[ "MIT" ]	null	null	null	oemof/solph/__init__.py	jnnr/oemof	83cfc0b6187906d85ebd0c4ea2788e0091dc82f7	[ "MIT" ]	null	null	null	from oemof.solph.network import (Sink, Source, Transformer, Bus, Flow, EnergySystem) from oemof.solph.models import Model from oemof.solph.groupings import GROUPINGS from oemof.solph.options import Investment, NonConvex from oemof.solph.plumbing import sequence from oemof.solph import c...	39.7	70	0.768262	51	397	5.980392	0.431373	0.236066	0.367213	0.196721	0	0	0	0	0	0	0	0.178841	397	9	71	44.111111	0.935583	0	0	0	0	0	0	0	0	0	1	0	true	0	0.888889	0	0.888889	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
389e8282870a762495571733fed36779b4b7f124	122	py	Python	pdprpr/utils.py	yubessy/pandas-preprocessing	44cefa51186e10faa5473d08b2f29ab187f0c48f	[ "MIT" ]	6	2017-09-29T04:53:50.000Z	2018-01-18T04:27:28.000Z	pdprpr/utils.py	yubessy/pandas-preprocessing	44cefa51186e10faa5473d08b2f29ab187f0c48f	[ "MIT" ]	2	2017-10-03T06:34:13.000Z	2017-10-03T06:43:31.000Z	pdprpr/utils.py	yubessy/pandas-preprocessing	44cefa51186e10faa5473d08b2f29ab187f0c48f	[ "MIT" ]	1	2020-04-14T16:27:26.000Z	2020-04-14T16:27:26.000Z	from numbers import Number import numpy def is_nan(value): return isinstance(value, Number) and numpy.isnan(value)	15.25	59	0.762295	18	122	5.111111	0.722222	0	0	0	0	0	0	0	0	0	0	0.163934	122	7	60	17.428571	0.901961	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.5	0.25	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	1	1	1	0	6
38e469bb4160e91e9680cd5845e6d7834cdfddec	100	py	Python	src/torch_utils/__init__.py	gvashkevich/pytorch-utils-api	744ab960460baaf840a6c782734a37fa24e24cc1	[ "MIT" ]	null	null	null	src/torch_utils/__init__.py	gvashkevich/pytorch-utils-api	744ab960460baaf840a6c782734a37fa24e24cc1	[ "MIT" ]	null	null	null	src/torch_utils/__init__.py	gvashkevich/pytorch-utils-api	744ab960460baaf840a6c782734a37fa24e24cc1	[ "MIT" ]	null	null	null	from . import eval from . import model from . import opt from . import summary from . import train	14.285714	21	0.74	15	100	4.933333	0.466667	0.675676	0	0	0	0	0	0	0	0	0	0.21	100	6	22	16.666667	0.936709	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
2a4fc1df890f36d67d435f37062233e493f46493	4,903	py	Python	BMCodeHelper/CaseMigrate.py	yyc12345/gist	000a03cb4b9fc8ca0b083c3b0bd939c41a590c94	[ "MIT" ]	1	2020-09-07T06:24:10.000Z	2020-09-07T06:24:10.000Z	BMCodeHelper/CaseMigrate.py	yyc12345/gist	000a03cb4b9fc8ca0b083c3b0bd939c41a590c94	[ "MIT" ]	null	null	null	BMCodeHelper/CaseMigrate.py	yyc12345/gist	000a03cb4b9fc8ca0b083c3b0bd939c41a590c94	[ "MIT" ]	null	null	null	fr=open('migrating.txt', 'r') caseDict = {} oldList = [ "Ball_LightningSphere1.bmp", "Ball_LightningSphere2.bmp", "Ball_LightningSphere3.bmp", "Ball_Paper.bmp", "Ball_Stone.bmp", "Ball_Wood.bmp", "Brick.bmp", "Button01_deselect.tga", "Button01_select.tga", "Button01_special.tga"...	23.45933	63	0.606975	586	4,903	4.802048	0.259386	0.039801	0.046908	0.023099	0.769367	0.769367	0.769367	0.769367	0.769367	0.769367	0.018018	0.230267	4,903	209	64	23.45933	0.72761	0.004487	0.778894	0	0	0.53925	0.122976	0	0	0	1	0	false	0.005025	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
2a795453b4723f2fb9d0af3a9b085623ee4bb5ff	125	py	Python	discord/ext/ui/combine/abc.py	Lapis256/discord-ext-ui	593de0a1107d2a0c26023587a2937f00ecec3ed1	[ "MIT" ]	null	null	null	discord/ext/ui/combine/abc.py	Lapis256/discord-ext-ui	593de0a1107d2a0c26023587a2937f00ecec3ed1	[ "MIT" ]	null	null	null	discord/ext/ui/combine/abc.py	Lapis256/discord-ext-ui	593de0a1107d2a0c26023587a2937f00ecec3ed1	[ "MIT" ]	null	null	null	from typing import Any class ValueAble: def __init__(self, value: Any = None) -> None: self.value: Any = value	17.857143	50	0.648	17	125	4.529412	0.647059	0.233766	0.311688	0	0	0	0	0	0	0	0	0.256	125	6	51	20.833333	0.827957	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.25	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	0	6
2a826ff1896b448a9c143341638c02f8ecbb46b1	41	py	Python	tests/fixtures/__init__.py	pphelan69/rest_python	e4258979877a1040a86b63da2010dd44f4b5ddca	[ "MIT" ]	null	null	null	tests/fixtures/__init__.py	pphelan69/rest_python	e4258979877a1040a86b63da2010dd44f4b5ddca	[ "MIT" ]	null	null	null	tests/fixtures/__init__.py	pphelan69/rest_python	e4258979877a1040a86b63da2010dd44f4b5ddca	[ "MIT" ]	null	null	null	import tests.fixtures.jobconfiguration	10.25	38	0.853659	4	41	8.75	1	0	0	0	0	0	0	0	0	0	0	0.097561	41	3	39	13.666667	0.945946	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
aa529ed1be459be80c49abb141d38dee0ed979c9	229	py	Python	segmentation_models/backbones/__init__.py	marcojoao/UNetPlusPlus	d761e64f565b19da3892fb5ca3cd9b69f2c2a3a7	[ "MIT" ]	1,621	2019-02-14T02:56:51.000Z	2022-03-31T02:53:17.000Z	segmentation_models/backbones/__init__.py	marcojoao/UNetPlusPlus	d761e64f565b19da3892fb5ca3cd9b69f2c2a3a7	[ "MIT" ]	72	2019-02-21T04:45:38.000Z	2022-02-09T23:49:43.000Z	segmentation_models/backbones/__init__.py	marcojoao/UNetPlusPlus	d761e64f565b19da3892fb5ca3cd9b69f2c2a3a7	[ "MIT" ]	424	2019-02-15T04:05:55.000Z	2022-03-30T02:06:34.000Z	from .classification_models.classification_models import * from .inception_resnet_v2 import InceptionResNetV2 from .inception_v3 import InceptionV3 from .backbones import get_backbone from .preprocessing import get_preprocessing	38.166667	58	0.882096	27	229	7.222222	0.518519	0.205128	0	0	0	0	0	0	0	0	0.019139	0.087336	229	6	59	38.166667	0.913876	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
aa93abf95cddecc192ec8958e3b94e0ca78f37e5	61	py	Python	src/models/__init__.py	guritian/fl-noniid	0af633e4df54426ee499b6e27b42589cc23a1eee	[ "MIT" ]	3	2021-07-21T06:07:01.000Z	2021-12-27T06:54:54.000Z	src/models/__init__.py	guritian/fl-noniid	0af633e4df54426ee499b6e27b42589cc23a1eee	[ "MIT" ]	null	null	null	src/models/__init__.py	guritian/fl-noniid	0af633e4df54426ee499b6e27b42589cc23a1eee	[ "MIT" ]	2	2021-10-03T15:18:28.000Z	2022-02-17T05:31:42.000Z	from .resnet import * from .vgg import * from .lenet import *	20.333333	21	0.721311	9	61	4.888889	0.555556	0.454545	0	0	0	0	0	0	0	0	0	0.180328	61	3	22	20.333333	0.88	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
aadbdcfa62c7ceca195310cd0a86ffb904749aef	463	py	Python	devito/types/__init__.py	CavalcanteLucas/devito	f52cfd7d55b91f83245f33af4424adbdb03075d8	[ "MIT" ]	1	2020-01-30T17:49:12.000Z	2020-01-30T17:49:12.000Z	devito/types/__init__.py	CavalcanteLucas/devito	f52cfd7d55b91f83245f33af4424adbdb03075d8	[ "MIT" ]	1	2019-11-06T18:01:25.000Z	2019-11-06T18:01:25.000Z	devito/types/__init__.py	CavalcanteLucas/devito	f52cfd7d55b91f83245f33af4424adbdb03075d8	[ "MIT" ]	2	2018-11-15T12:03:48.000Z	2018-11-15T13:16:19.000Z	# Need only from within Devito from devito.types.basic import * # noqa # Needed both within and outside Devito from devito.types.dimension import * # noqa from devito.types.utils import * # noqa from devito.types.caching import _SymbolCache, CacheManager # noqa # Needed only outside Devito from devito.types.const...	33.071429	67	0.760259	65	463	5.4	0.338462	0.22792	0.34188	0.2849	0.51567	0	0	0	0	0	0	0.164147	463	13	68	35.615385	0.906977	0.287257	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
aae0617565d203501d774d4111e48a633e00a187	300	py	Python	sage_utils/amqp/__init__.py	OpenMatchmaking/sage-utils-python	348394bf9cd3adb96fe3915d1d4d99daa46ab437	[ "BSD-3-Clause" ]	null	null	null	sage_utils/amqp/__init__.py	OpenMatchmaking/sage-utils-python	348394bf9cd3adb96fe3915d1d4d99daa46ab437	[ "BSD-3-Clause" ]	2	2018-04-07T23:24:19.000Z	2018-05-25T08:31:31.000Z	sage_utils/amqp/__init__.py	OpenMatchmaking/sage-utils-python	348394bf9cd3adb96fe3915d1d4d99daa46ab437	[ "BSD-3-Clause" ]	null	null	null	from sage_utils.amqp.base import AmqpWorker # NOQA from sage_utils.amqp.clients import RpcAmqpClient # NOQA from sage_utils.amqp.extension import AmqpExtension # NOQA from sage_utils.amqp.mixins import SanicAmqpExtensionMixin # NOQA from sage_utils.amqp.workers import BaseRegisterWorker # NOQA	50	66	0.833333	40	300	6.125	0.4	0.163265	0.265306	0.346939	0.342857	0	0	0	0	0	0	0.116667	300	5	67	60	0.924528	0.08	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	null	0	0	0	0	1	0	1	0	1	0	6
2abc5da83c3cdde7ab5885c24f1e9bd405364ee6	139	py	Python	openspoor/transformers/__init__.py	ProRail-DataLab/openspoor	548c7ffc12a5a97459bafe5327aa9b0d0546537c	[ "MIT" ]	7	2022-01-28T09:54:10.000Z	2022-03-25T10:02:08.000Z	openspoor/transformers/__init__.py	ProRail-DataLab/openspoor	548c7ffc12a5a97459bafe5327aa9b0d0546537c	[ "MIT" ]	11	2022-03-17T12:48:30.000Z	2022-03-25T11:22:39.000Z	openspoor/transformers/__init__.py	ProRail-DataLab/openspoor	548c7ffc12a5a97459bafe5327aa9b0d0546537c	[ "MIT" ]	2	2022-03-16T14:11:48.000Z	2022-03-25T09:10:30.000Z	from .TransformerCoordinatesToSpoor import * from .TransformerGeocodeToCoordinates import * from .TransformerSpoortakToCoordinates import *	46.333333	47	0.877698	9	139	13.555556	0.555556	0.163934	0	0	0	0	0	0	0	0	0	0.079137	139	3	47	46.333333	0.953125	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
2ac643f5e8dbac46d8cc5c82221da186b248397c	5,558	py	Python	backend/api/tests/schema/conference/test_ranking.py	patrick91/pycon	9d7e15f540adcf0eaceb61fdbf67206d6aef73ec	[ "MIT" ]	2	2017-07-18T21:51:25.000Z	2017-12-23T11:08:39.000Z	backend/api/tests/schema/conference/test_ranking.py	patrick91/pycon	9d7e15f540adcf0eaceb61fdbf67206d6aef73ec	[ "MIT" ]	23	2017-07-18T20:22:38.000Z	2018-01-05T05:45:15.000Z	backend/api/tests/schema/conference/test_ranking.py	patrick91/pycon	9d7e15f540adcf0eaceb61fdbf67206d6aef73ec	[ "MIT" ]	2	2017-07-18T21:27:33.000Z	2017-07-18T22:07:03.000Z	import pytest import respx from django.conf import settings pytestmark = [pytest.mark.django_db] @pytest.fixture def mock_users(mocker): with respx.mock as mock: mock.post(f"{settings.USERS_SERVICE}/internal-api").respond( json={ "data": { "usersByIds": [ ...	26.721154	88	0.538143	497	5,558	5.762575	0.15493	0.107542	0.050279	0.061103	0.863827	0.860684	0.860684	0.832402	0.814595	0.794693	0.00168	0.357503	5,558	207	89	26.850242	0.800336	0	0.59887	0	0	0.338251	0.006657	0	0	0.079096	1	0.033898	false	0	0.016949	0	0.050847	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
2ad642dee260f6f0844aa84c53d6063fefd7158c	5,769	py	Python	tests/test_scheduling.py	doctorlard/nikola	d6dd2fc4af6fa0d92dfda500393bbd235b60df2a	[ "MIT" ]	null	null	null	tests/test_scheduling.py	doctorlard/nikola	d6dd2fc4af6fa0d92dfda500393bbd235b60df2a	[ "MIT" ]	null	null	null	tests/test_scheduling.py	doctorlard/nikola	d6dd2fc4af6fa0d92dfda500393bbd235b60df2a	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- from __future__ import unicode_literals from base import BaseTestCase import datetime from nose.plugins.skip import SkipTest try: from freezegun import freeze_time _freeze_time = True except ImportError: _freeze_time = False freeze_time = lambda x: lambda y: y FMT = '%Y/%m/%d %H...	45.425197	79	0.647253	785	5,769	4.642038	0.133758	0.090011	0.119374	0.119374	0.81449	0.799122	0.749726	0.738474	0.706092	0.69786	0.0253	0.218929	5,769	126	80	45.785714	0.7834	0.148726	0.413793	0	0	0.028769	0.01092	0	0	0.344828	1	0.022989	false	0	0.091954	0	0.126437	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
632ebe6d66f808b73ae3be3237f970090dffac0c	36,672	py	Python	src/PythonUnitTests/UFUNCTests/UFUNC_FLOAT_Tests.py	thild/numpy.net	1a607cfb42263f92314a1e8dbec6f5436a7feb73	[ "BSD-3-Clause" ]	59	2019-01-20T19:43:05.000Z	2022-03-26T06:08:51.000Z	src/PythonUnitTests/UFUNCTests/UFUNC_FLOAT_Tests.py	thild/numpy.net	1a607cfb42263f92314a1e8dbec6f5436a7feb73	[ "BSD-3-Clause" ]	21	2019-06-06T17:45:01.000Z	2022-03-30T10:37:24.000Z	src/PythonUnitTests/UFUNCTests/UFUNC_FLOAT_Tests.py	thild/numpy.net	1a607cfb42263f92314a1e8dbec6f5436a7feb73	[ "BSD-3-Clause" ]	7	2019-05-12T21:06:18.000Z	2022-02-13T12:23:23.000Z	import unittest import numpy as np class Test_UFUNC_FLOAT_Tests(unittest.TestCase): #region UFUNC FLOAT Tests #region OUTER Tests def test_AddOuter_FLOAT(self): a1 = np.arange(0, 5, dtype=np.float32); a2 = np.arange(3, 8, dtype=np.float32); b = np.add.outer(a1,a2) prin...	25.71669	74	0.542267	4,716	36,672	4.138889	0.050254	0.077873	0.136277	0.101235	0.858855	0.853169	0.82202	0.788924	0.777909	0.777909	0.065792	0.322753	36,672	1,425	75	25.734737	0.720124	0.004254	0.665222	0	0	0.084043	0	0	0	0	1	0.16468	false	0	0.002167	0	0.167931	0.238353	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
2d6baef6c0ddf69bad43eaf5c3bb6c3066773697	37	py	Python	Udemy/duce/__init__.py	nagarajpandith/slack-udemy-bot	88d4d8755f3afd726455e35b6ce7c8c287aa9492	[ "MIT" ]	3	2021-07-30T08:07:29.000Z	2021-11-15T12:04:47.000Z	Udemy/duce/__init__.py	nagarajpandith/slack-udemy-bot	88d4d8755f3afd726455e35b6ce7c8c287aa9492	[ "MIT" ]	null	null	null	Udemy/duce/__init__.py	nagarajpandith/slack-udemy-bot	88d4d8755f3afd726455e35b6ce7c8c287aa9492	[ "MIT" ]	null	null	null	from udemy.duce.duce import Scrapper	18.5	36	0.837838	6	37	5.166667	0.833333	0	0	0	0	0	0	0	0	0	0	0.108108	37	1	37	37	0.939394	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
2d88603d861ca525118de85b86a5abc3bc677d04	17,121	py	Python	examples/examples.py	QAR-Lab/uqoclient	21efbcd718598ef1c3307de4384e8440de1db53b	[ "MIT" ]	2	2021-08-19T12:23:25.000Z	2022-02-02T08:54:38.000Z	examples/examples.py	QAR-Lab/uqoclient	21efbcd718598ef1c3307de4384e8440de1db53b	[ "MIT" ]	2	2021-02-04T10:44:38.000Z	2022-03-25T09:55:15.000Z	examples/examples.py	QAR-Lab/uqoclient	21efbcd718598ef1c3307de4384e8440de1db53b	[ "MIT" ]	5	2021-02-04T20:58:12.000Z	2021-11-28T13:33:41.000Z	from ..client.connection import Connection from . import graph_coloring_example as graphcoloring from .. import Problem from matplotlib import pyplot as plt import numpy as np # Example QUBO with some reward and penalty values example_qubo = {(0, 0): -2, (1, 1): -2, (2, 2): -2, (3, 3): -2, (4, 4): -2, (5, 5): -2, ...	40.667458	160	0.658256	2,125	17,121	5.156235	0.136	0.037145	0.032856	0.018071	0.818016	0.818016	0.809254	0.809254	0.791275	0.791275	0.021669	0.237194	17,121	420	161	40.764286	0.817305	0.574324	0.564103	0	0	0.129616	0.006621	0	0	0	1	0.128205	false	0	0.042735	0	0.17094	0.094017	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
2d886acdb853eec5d4344c0c26a4497479b38c38	189	py	Python	tests/test_module.py	trickeydan/pepper2	3aba1c74568cd0a04c9178caba26e9238c90e9ba	[ "MIT" ]	null	null	null	tests/test_module.py	trickeydan/pepper2	3aba1c74568cd0a04c9178caba26e9238c90e9ba	[ "MIT" ]	22	2019-12-22T20:11:24.000Z	2020-01-18T19:09:11.000Z	tests/test_module.py	j5api/pepper2	3aba1c74568cd0a04c9178caba26e9238c90e9ba	[ "MIT" ]	null	null	null	"""Test that the pepper2 imports as expected.""" import pepper2 def test_module() -> None: """Test that the module behaves as expected.""" assert pepper2.__version__ is not None	21	51	0.703704	26	189	4.923077	0.615385	0.125	0.171875	0	0	0	0	0	0	0	0.019608	0.190476	189	8	52	23.625	0.816993	0.444444	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	null	0	0	0	1	1	0	1	0	1	0	6
2df4b4503fa27203126c335d385521aa2f193de7	166	py	Python	app/views/login.py	davimiku/squawker	968de5b82ddc1d610af248a70840533c9d7b5cb9	[ "MIT" ]	null	null	null	app/views/login.py	davimiku/squawker	968de5b82ddc1d610af248a70840533c9d7b5cb9	[ "MIT" ]	null	null	null	app/views/login.py	davimiku/squawker	968de5b82ddc1d610af248a70840533c9d7b5cb9	[ "MIT" ]	null	null	null	from app import app from flask import request, redirect, url_for, session, render_template @app.route('/login') def login(): return render_template('login.html')	27.666667	70	0.759036	24	166	5.125	0.666667	0.227642	0	0	0	0	0	0	0	0	0	0.126506	166	6	71	27.666667	0.848276	0	0	0	0	0.095808	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	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	1	0	0	6
2df4cbc63f9c36553e3ae1c174977f9fa68a4e09	131	py	Python	examples/demo/orders/forms.py	bartels/satchless	4d333014333dc4fd5815f9e0bbea565959919a30	[ "BSD-4-Clause" ]	1	2015-11-05T10:26:46.000Z	2015-11-05T10:26:46.000Z	examples/demo/orders/forms.py	bartels/satchless	4d333014333dc4fd5815f9e0bbea565959919a30	[ "BSD-4-Clause" ]	null	null	null	examples/demo/orders/forms.py	bartels/satchless	4d333014333dc4fd5815f9e0bbea565959919a30	[ "BSD-4-Clause" ]	null	null	null	import django.forms from django.forms.models import modelformset_factory import satchless.order.forms from .app import order_app	18.714286	52	0.847328	19	131	5.736842	0.526316	0.201835	0	0	0	0	0	0	0	0	0	0.10687	131	6	53	21.833333	0.931624	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
2dfc0f5796b953aa4865c5931883da0c9430c6e6	45	py	Python	smithers/io/openfoam/__init__.py	LauraMeneghetti/Smithers	908fb3201eabfd01fe1712352c605e1f4b15d896	[ "MIT" ]	6	2021-04-09T10:00:12.000Z	2022-02-02T05:13:42.000Z	smithers/io/openfoam/__init__.py	LauraMeneghetti/Smithers	908fb3201eabfd01fe1712352c605e1f4b15d896	[ "MIT" ]	5	2021-05-06T14:43:22.000Z	2021-09-30T15:29:59.000Z	smithers/io/openfoam/__init__.py	LauraMeneghetti/Smithers	908fb3201eabfd01fe1712352c605e1f4b15d896	[ "MIT" ]	6	2021-05-06T12:06:57.000Z	2022-03-29T07:08:46.000Z	from .openfoamhandler import OpenFoamHandler	22.5	44	0.888889	4	45	10	0.75	0	0	0	0	0	0	0	0	0	0	0.088889	45	1	45	45	0.97561	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
9330561c16ee002da699b9f6f77f84d8bd513664	27	py	Python	mabooia/reactive/__init__.py	Mabooia/mabooia-py	58da8d74a9a544a208ea4bd35ae017896917aa71	[ "MIT" ]	null	null	null	mabooia/reactive/__init__.py	Mabooia/mabooia-py	58da8d74a9a544a208ea4bd35ae017896917aa71	[ "MIT" ]	null	null	null	mabooia/reactive/__init__.py	Mabooia/mabooia-py	58da8d74a9a544a208ea4bd35ae017896917aa71	[ "MIT" ]	null	null	null	from .observables import *	13.5	26	0.777778	3	27	7	1	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.913043	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
fab06d28ea8076169bf98f140077fa49211d608d	257	py	Python	examples/nosec.py	magnologan/bandit	e2594a9bab6064947913383fec12096d8f9475b4	[ "Apache-2.0" ]	2	2021-12-19T14:09:27.000Z	2021-12-22T06:47:04.000Z	examples/nosec.py	magnologan/bandit	e2594a9bab6064947913383fec12096d8f9475b4	[ "Apache-2.0" ]	null	null	null	examples/nosec.py	magnologan/bandit	e2594a9bab6064947913383fec12096d8f9475b4	[ "Apache-2.0" ]	2	2015-04-03T02:59:00.000Z	2018-03-14T09:25:10.000Z	subprocess.Popen('/bin/ls ', shell=True) #nosec (on the line) subprocess.Popen('/bin/ls ', #nosec (at the start of function call) shell=True) subprocess.Popen('/bin/ls *', shell=True) #nosec (on the specific kwarg line)	42.833333	68	0.610895	35	257	4.485714	0.485714	0.286624	0.343949	0.382166	0.496815	0.496815	0.496815	0.496815	0.496815	0	0	0.237354	257	5	69	51.4	0.80102	0.350195	0.8	0	0	0.164634	0	0	0	0	1	0	true	0	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	6
fab7574076ce93d349fe124e947790e62ffd8ea0	214	py	Python	clockify_api_client/factories/tag_factory.py	jeroenpeters1986/clockify-api-aclient	212a3e200ee0f434ef3b2390a7f438493c5baeec	[ "MIT" ]	null	null	null	clockify_api_client/factories/tag_factory.py	jeroenpeters1986/clockify-api-aclient	212a3e200ee0f434ef3b2390a7f438493c5baeec	[ "MIT" ]	null	null	null	clockify_api_client/factories/tag_factory.py	jeroenpeters1986/clockify-api-aclient	212a3e200ee0f434ef3b2390a7f438493c5baeec	[ "MIT" ]	null	null	null	from clockify_api_client.factories.abstract_factory import AbstractFactory from clockify_api_client.models.tag import Tag class TagFactory(AbstractFactory): class Meta: model = Tag api_key = None	23.777778	74	0.785047	27	214	6	0.62963	0.148148	0.185185	0.259259	0	0	0	0	0	0	0	0.168224	214	9	75	23.777778	0.910112	0	0	0	0	0	0	0	0	0	1	0	false	0	0.333333	0	0.833333	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	1	0	6
fac2e2f9538503e946f0be2f0ec1756e81081769	210	py	Python	mmfewshot/detection/__init__.py	BIGWangYuDong/mmfewshot	dac097afc92df176bc2de76b7c90968584865197	[ "Apache-2.0" ]	376	2021-11-23T13:29:57.000Z	2022-03-30T07:22:14.000Z	mmfewshot/detection/__init__.py	BIGWangYuDong/mmfewshot	dac097afc92df176bc2de76b7c90968584865197	[ "Apache-2.0" ]	51	2021-11-23T14:45:08.000Z	2022-03-30T03:37:15.000Z	mmfewshot/detection/__init__.py	BIGWangYuDong/mmfewshot	dac097afc92df176bc2de76b7c90968584865197	[ "Apache-2.0" ]	56	2021-11-23T14:02:27.000Z	2022-03-31T09:01:50.000Z	# Copyright (c) OpenMMLab. All rights reserved. from .apis import * # noqa: F401,F403 from .core import * # noqa: F401,F403 from .datasets import * # noqa: F401,F403 from .models import * # noqa: F401,F403	35	47	0.695238	30	210	4.866667	0.5	0.273973	0.383562	0.493151	0.452055	0	0	0	0	0	0.140351	0.185714	210	5	48	42	0.71345	0.519048	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	6
faca512026fcc3f3d9af2cb6819688c986e2e25a	1,546	py	Python	wineapp/migrations/0006_auto_20190217_1123.py	umangrules/Wine-Connoisseur	3a5fa6f7a269d1a724150f81157201d7519e8749	[ "MIT" ]	6	2019-02-20T16:34:11.000Z	2020-10-03T14:11:32.000Z	wineapp/migrations/0006_auto_20190217_1123.py	umangrules/Wine-Connoisseur	3a5fa6f7a269d1a724150f81157201d7519e8749	[ "MIT" ]	1	2020-10-03T16:09:53.000Z	2020-10-05T02:32:24.000Z	wineapp/migrations/0006_auto_20190217_1123.py	umangrules/Wine-Connoisseur	3a5fa6f7a269d1a724150f81157201d7519e8749	[ "MIT" ]	5	2020-10-03T12:22:15.000Z	2020-11-16T11:07:54.000Z	# Generated by Django 2.1.7 on 2019-02-17 11:23 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('wineapp', '0005_auto_20190217_1113'), ] operations = [ migrations.AlterField( model_name='contact', name='country', ...	28.62963	58	0.544631	143	1,546	5.797203	0.293706	0.193004	0.241255	0.279855	0.757539	0.757539	0.709288	0.664656	0.664656	0.664656	0.032101	0.335058	1,546	53	59	29.169811	0.774319	0.029107	0.680851	1	0	0.100734	0.015344	0	0	0	1	0	false	0	0.021277	0	0.085106	0	0	0	0	null	0	1	1	0	1	1	0	0	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
facf83f40ee27569111e35f91e21cfbed55f4287	126	py	Python	Statistics/StandardDev.py	rn44/statsCalculator	b827edfc49d9251c7490ede3e578b58b49d9bb13	[ "MIT" ]	null	null	null	Statistics/StandardDev.py	rn44/statsCalculator	b827edfc49d9251c7490ede3e578b58b49d9bb13	[ "MIT" ]	null	null	null	Statistics/StandardDev.py	rn44/statsCalculator	b827edfc49d9251c7490ede3e578b58b49d9bb13	[ "MIT" ]	2	2020-11-07T03:34:17.000Z	2020-12-10T16:34:55.000Z	from Calculator.Sqroot import sqroot from Statistics.Variance import variance def stddev(a): return sqroot(variance(a))	18	40	0.785714	17	126	5.823529	0.588235	0	0	0	0	0	0	0	0	0	0	0.142857	126	6	41	21	0.916667	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.5	0.25	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	1	1	1	0	6
878e959215382f5f686fc82e10e19b64b11db04d	83	py	Python	minibuild/__init__.py	minibuild/minibuild	478e242f4e7b8df47116ed0b08cc66a7845a6d5e	[ "MIT" ]	null	null	null	minibuild/__init__.py	minibuild/minibuild	478e242f4e7b8df47116ed0b08cc66a7845a6d5e	[ "MIT" ]	null	null	null	minibuild/__init__.py	minibuild/minibuild	478e242f4e7b8df47116ed0b08cc66a7845a6d5e	[ "MIT" ]	3	2018-05-13T13:59:14.000Z	2018-07-08T10:19:09.000Z	from .error_utils import BuildSystemException from .script_main import script_main	27.666667	45	0.879518	11	83	6.363636	0.636364	0.285714	0	0	0	0	0	0	0	0	0	0.096386	83	2	46	41.5	0.933333	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
87913572eb5d97900eb8389a225e39d6d669bbcc	1,361	py	Python	backend/api/migrations/0002_auto_20210203_2219.py	oaguy1/wishlist.vote	3440cc05cfe039e905064fd2dfcb0ae06402e12c	[ "MIT" ]	null	null	null	backend/api/migrations/0002_auto_20210203_2219.py	oaguy1/wishlist.vote	3440cc05cfe039e905064fd2dfcb0ae06402e12c	[ "MIT" ]	null	null	null	backend/api/migrations/0002_auto_20210203_2219.py	oaguy1/wishlist.vote	3440cc05cfe039e905064fd2dfcb0ae06402e12c	[ "MIT" ]	null	null	null	# Generated by Django 3.1.6 on 2021-02-03 22:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0001_initial'), ] operations = [ migrations.AlterField( model_name='listitem', name='created_at', ...	27.77551	58	0.555474	126	1,361	5.81746	0.333333	0.190996	0.238745	0.276944	0.763984	0.763984	0.702592	0.603001	0.603001	0.537517	0.020925	0.332844	1,361	48	59	28.354167	0.786344	0.033064	0.785714	1	0	0.105023	0	0	0	0	1	0	false	0	0.02381	0	0.095238	0	0	0	0	null	0	1	1	0	1	1	0	0	0	0	0	0	0	0	1	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
87b5bbf9233c5d7db33a004f58740eb7eaa49178	44	py	Python	src/spaceone/identity/error/__init__.py	choonho/identity	e56263e06e04b4d3ea7b230026c9b2db4e0be685	[ "Apache-2.0" ]	1	2020-07-31T09:42:02.000Z	2020-07-31T09:42:02.000Z	src/spaceone/identity/error/__init__.py	choonho/identity	e56263e06e04b4d3ea7b230026c9b2db4e0be685	[ "Apache-2.0" ]	null	null	null	src/spaceone/identity/error/__init__.py	choonho/identity	e56263e06e04b4d3ea7b230026c9b2db4e0be685	[ "Apache-2.0" ]	null	null	null	from spaceone.identity.error.custom import *	44	44	0.840909	6	44	6.166667	1	0	0	0	0	0	0	0	0	0	0	0.068182	44	1	44	44	0.902439	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
e215b2aba20a92256b583e9de6bd12d6d1ab1129	154	py	Python	project/context_processors.py	sgleisner/django-project-template	1ec8ef798fa0d203fe9d875481a3063c678ed7d6	[ "MIT" ]	13	2015-03-05T07:56:49.000Z	2022-01-13T01:12:46.000Z	project/context_processors.py	sgleisner/django-project-template	1ec8ef798fa0d203fe9d875481a3063c678ed7d6	[ "MIT" ]	36	2020-02-14T21:12:04.000Z	2022-02-21T13:49:37.000Z	project/context_processors.py	sgleisner/django-project-template	1ec8ef798fa0d203fe9d875481a3063c678ed7d6	[ "MIT" ]	12	2016-06-20T23:18:15.000Z	2022-01-04T20:11:53.000Z	from django.conf import settings def google_analytics_code(request): return { 'google_analytics_code': settings.GOOGLE_ANALYTICS_CODE }	19.25	63	0.746753	18	154	6.055556	0.611111	0.412844	0.522936	0	0	0	0	0	0	0	0	0.188312	154	7	64	22	0.872	0	0	0	0	0.136364	0.136364	0	0	0	1	0.2	false	0	0.2	0.2	0.6	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	1	0	6
3567cc0428c89fabd8c71dede881bd88d55a8656	156	py	Python	src/sage/tensor/all.py	bopopescu/sage-5	9d85b34956ca2edd55af307f99c5d3859acd30bf	[ "BSL-1.0" ]	5	2015-01-04T07:15:06.000Z	2022-03-04T15:15:18.000Z	src/sage/tensor/all.py	bopopescu/sage-5	9d85b34956ca2edd55af307f99c5d3859acd30bf	[ "BSL-1.0" ]	null	null	null	src/sage/tensor/all.py	bopopescu/sage-5	9d85b34956ca2edd55af307f99c5d3859acd30bf	[ "BSL-1.0" ]	10	2016-09-28T13:12:40.000Z	2022-02-12T09:28:34.000Z	from coordinate_patch import CoordinatePatch from differential_forms import DifferentialForms from differential_form_element import DifferentialForm, wedge	39	61	0.910256	17	156	8.117647	0.705882	0.231884	0	0	0	0	0	0	0	0	0	0.083333	156	3	62	52	0.965035	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
35bc0ea344c9a971b6bcf5ddcbd0b49a0a3ab2e0	2,264	py	Python	tests/terraform/checks/resource/aws/test_MQBrokerNotPubliclyExposed.py	antonblr/checkov	9415c6593c537945c08f7a19f28bdd8b96966f67	[ "Apache-2.0" ]	4,013	2019-12-09T13:16:54.000Z	2022-03-31T14:31:01.000Z	tests/terraform/checks/resource/aws/test_MQBrokerNotPubliclyExposed.py	antonblr/checkov	9415c6593c537945c08f7a19f28bdd8b96966f67	[ "Apache-2.0" ]	1,258	2019-12-17T09:55:51.000Z	2022-03-31T19:17:17.000Z	tests/terraform/checks/resource/aws/test_MQBrokerNotPubliclyExposed.py	antonblr/checkov	9415c6593c537945c08f7a19f28bdd8b96966f67	[ "Apache-2.0" ]	638	2019-12-19T08:57:38.000Z	2022-03-30T21:38:37.000Z	import hcl2 import unittest from checkov.terraform.checks.resource.aws.MQBrokerNotPubliclyExposed import check from checkov.common.models.enums import CheckResult class TestMQBrokerNotPubliclyExposed(unittest.TestCase): def test_failure_mqbroker_logging(self): hcl_res = hcl2.loads(""" resource "...	31.444444	82	0.581714	222	2,264	5.612613	0.274775	0.086677	0.05297	0.086677	0.797753	0.767255	0.767255	0.767255	0.767255	0.767255	0.014258	0.318463	2,264	71	83	31.887324	0.79326	0	0.666667	0	0	0.541961	0	0	0	0.052632	1	0.052632	false	0.087719	0.070175	0	0.140351	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	6
ea1dc7d4ce3fcc0f3fc2a614d7290a134d98cc88	6,015	py	Python	skidl/libs/Lattice_sklib.py	arjenroodselaar/skidl	0bf801bd3b74e6ef94bd9aa1b68eef756b568276	[ "MIT" ]	700	2016-08-16T21:12:50.000Z	2021-10-10T02:15:18.000Z	skidl/libs/Lattice_sklib.py	0dvictor/skidl	458709a10b28a864d25ae2c2b44c6103d4ddb291	[ "MIT" ]	118	2016-08-16T20:51:05.000Z	2021-10-10T08:07:18.000Z	skidl/libs/Lattice_sklib.py	0dvictor/skidl	458709a10b28a864d25ae2c2b44c6103d4ddb291	[ "MIT" ]	94	2016-08-25T14:02:28.000Z	2021-09-12T05:17:08.000Z	from skidl import SKIDL, TEMPLATE, Part, Pin, SchLib SKIDL_lib_version = '0.0.1' Lattice = SchLib(tool=SKIDL).add_parts([ Part(name='GAL16V8',dest=TEMPLATE,tool=SKIDL,keywords='GAL PLD 16V8',description='Programmable Logic Array, DIP-20/SOIC-20/PLCC-20',ref_prefix='U',num_units=1,fplist=['DIP', 'PDIP*', 'SO...	61.377551	235	0.565087	980	6,015	3.363265	0.123469	0.139563	0.251214	0.305825	0.924757	0.915959	0.862561	0.70267	0.596784	0.596784	0.058652	0.203491	6,015	97	236	62.010309	0.629305	0	0.526316	0	0	0.110723	0.003658	0	0	0	1	0	false	0	0.010526	0	0.010526	0	0	0	0	null	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
ea81f4be017a020feb5caccb6e3882fc3ec76049	39	py	Python	examples/example_home.py	juancarlospaco/thatlib	37403983c228521b992ad592231957a1c7af01f2	[ "MIT" ]	31	2021-05-12T16:54:34.000Z	2022-02-17T12:36:52.000Z	examples/example_home.py	juancarlospaco/thatlib	37403983c228521b992ad592231957a1c7af01f2	[ "MIT" ]	1	2021-07-23T02:58:07.000Z	2021-09-03T21:53:29.000Z	examples/example_home.py	juancarlospaco/thatlib	37403983c228521b992ad592231957a1c7af01f2	[ "MIT" ]	1	2021-05-12T22:12:20.000Z	2021-05-12T22:12:20.000Z	from thatlib import home print(home())	13	24	0.769231	6	39	5	0.833333	0	0	0	0	0	0	0	0	0	0	0.128205	39	2	25	19.5	0.882353	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	6
577d349586dfe22e12a3719a07e457f994c5c924	32,690	py	Python	pyspedas/mms/__init__.py	jibarnum/pyspedas	a956911ed8f2a11e30c527c92d2bda1342bea8e3	[ "MIT" ]	null	null	null	pyspedas/mms/__init__.py	jibarnum/pyspedas	a956911ed8f2a11e30c527c92d2bda1342bea8e3	[ "MIT" ]	null	null	null	pyspedas/mms/__init__.py	jibarnum/pyspedas	a956911ed8f2a11e30c527c92d2bda1342bea8e3	[ "MIT" ]	null	null	null	""" This module contains routines for loading MMS data """ from .mms_load_data import mms_load_data from .fgm.mms_fgm_remove_flags import mms_fgm_remove_flags from .fgm.mms_fgm_set_metadata import mms_fgm_set_metadata from .fpi.mms_fpi_set_metadata import mms_fpi_set_metadata from .hpca.mms_hpca_set_metadata import ...	41.171285	260	0.628388	4,501	32,690	4.473006	0.050655	0.021457	0.034769	0.019669	0.897283	0.884319	0.880594	0.872299	0.867581	0.865296	0.012643	0.291098	32,690	793	261	41.223203	0.856132	0.656348	0.346774	0	0	0.048268	0	0	0	0	1	0.096774	false	0	0.064516	0	0.290323	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
579fb106d6dd5ce03af8da91c738e3ffcb9f258d	247	py	Python	cryptofolio/resolvers/binance/__init__.py	JerryBeGood/Cryptofolio	7f09bdbb823e4aa70d8c83532264857e550d1c84	[ "MIT" ]	null	null	null	cryptofolio/resolvers/binance/__init__.py	JerryBeGood/Cryptofolio	7f09bdbb823e4aa70d8c83532264857e550d1c84	[ "MIT" ]	2	2022-01-20T11:54:33.000Z	2022-01-21T07:13:30.000Z	cryptofolio/resolvers/binance/__init__.py	JerryBeGood/Cryptofolio	7f09bdbb823e4aa70d8c83532264857e550d1c84	[ "MIT" ]	null	null	null	from .orders import binance_spot_stop_loss_limit_order, binance_spot_limit_order, binance_spot_market_order from .utility import validate_binance_credentials, binance_exchange_info, binance_account_info, binance_open_orders, binance_closed_orders	82.333333	138	0.910931	35	247	5.828571	0.514286	0.161765	0.166667	0.205882	0	0	0	0	0	0	0	0.05668	247	2	139	123.5	0.875536	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
57f07b5939466b0b0c919e0f5d2761772624393b	38	py	Python	src/core/stompest/sync/__init__.py	scwicker/stompest	715f358b8503320ea42bd4de6682916339943edc	[ "Apache-2.0" ]	66	2015-01-06T02:20:04.000Z	2022-03-08T01:32:49.000Z	src/core/stompest/sync/__init__.py	scwicker/stompest	715f358b8503320ea42bd4de6682916339943edc	[ "Apache-2.0" ]	34	2015-05-06T14:34:39.000Z	2022-03-16T23:26:04.000Z	src/core/stompest/sync/__init__.py	scwicker/stompest	715f358b8503320ea42bd4de6682916339943edc	[ "Apache-2.0" ]	38	2015-05-16T18:36:08.000Z	2022-03-16T19:23:11.000Z	from stompest.sync.client import Stomp	38	38	0.868421	6	38	5.5	1	0	0	0	0	0	0	0	0	0	0	0.078947	38	1	38	38	0.942857	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
17c0ca4317034699db46f4678319c2560846b871	29	py	Python	pkg/pkg/plot/__init__.py	kellymarchisio/goat	143192d1c13eba5242ec5cbba5641f9e86b1397c	[ "MIT" ]	3	2021-03-02T16:02:43.000Z	2021-11-06T12:21:19.000Z	pkg/pkg/plot/__init__.py	kellymarchisio/goat	143192d1c13eba5242ec5cbba5641f9e86b1397c	[ "MIT" ]	1	2021-12-14T20:19:07.000Z	2021-12-14T20:19:07.000Z	pkg/pkg/plot/__init__.py	kellymarchisio/goat	143192d1c13eba5242ec5cbba5641f9e86b1397c	[ "MIT" ]	1	2021-12-14T20:31:05.000Z	2021-12-14T20:31:05.000Z	from .theme import set_theme	14.5	28	0.827586	5	29	4.6	0.8	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.92	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
17d54f0749d53dbd7bce079e455e981500375e7d	29	py	Python	genemethods/cgecore/blaster/__init__.py	adamkoziol/genemethods	eaa493f3090595da5cf594da67178c1ebe4aad12	[ "MIT" ]	1	2020-01-15T18:41:21.000Z	2020-01-15T18:41:21.000Z	genemethods/cgecore/blaster/__init__.py	adamkoziol/genemethods	eaa493f3090595da5cf594da67178c1ebe4aad12	[ "MIT" ]	null	null	null	genemethods/cgecore/blaster/__init__.py	adamkoziol/genemethods	eaa493f3090595da5cf594da67178c1ebe4aad12	[ "MIT" ]	null	null	null	from .blaster import Blaster	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	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
a4ec31cfe9e542e8feb9494a208bdab4d9d23e20	24	py	Python	api/python/ryml/__init__.py	fargies/rapidyaml	6fd373c860b1eef3b190a521acabebc2fd2dcb04	[ "MIT" ]	314	2018-01-08T07:42:23.000Z	2022-03-21T10:42:29.000Z	api/python/ryml/__init__.py	fargies/rapidyaml	6fd373c860b1eef3b190a521acabebc2fd2dcb04	[ "MIT" ]	209	2018-02-23T04:30:46.000Z	2022-03-23T15:05:48.000Z	api/python/ryml/__init__.py	fargies/rapidyaml	6fd373c860b1eef3b190a521acabebc2fd2dcb04	[ "MIT" ]	53	2018-02-23T00:32:50.000Z	2022-03-07T18:11:45.000Z	from ryml.ryml import *	12	23	0.75	4	24	4.5	0.75	0	0	0	0	0	0	0	0	0	0	0.166667	24	1	24	24	0.9	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
104457c6fc3ba12dc190d785ad2218edf3a93943	8,718	py	Python	Raifhack_DS_24_26_Sept_2021.py	Anna-Alx-Romanova/Raifhack_DS_Sept_2021	56d0e1106a22329feae0e20c57619a5488b55965	[ "MIT" ]	null	null	null	Raifhack_DS_24_26_Sept_2021.py	Anna-Alx-Romanova/Raifhack_DS_Sept_2021	56d0e1106a22329feae0e20c57619a5488b55965	[ "MIT" ]	null	null	null	Raifhack_DS_24_26_Sept_2021.py	Anna-Alx-Romanova/Raifhack_DS_Sept_2021	56d0e1106a22329feae0e20c57619a5488b55965	[ "MIT" ]	null	null	null	import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import numpy as np from scipy.stats import norm from sklearn.preprocessing import StandardScaler from scipy import stats from sklearn.model_selection import train_test_split from sklearn import metrics from sklearn.model_selection import...	59.712329	160	0.670567	1,252	8,718	4.120607	0.117412	0.155069	0.174452	0.070556	0.769529	0.74937	0.724171	0.719519	0.705175	0.691995	0.073319	0.224019	8,718	145	161	60.124138	0.689283	0.011929	0.434783	0	0	0.463974	0.432081	0	0	0	1	0.034783	false	0	0.130435	0	0.191304	0.086957	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	6
108245a577530d151ddcea4a18a5ff4ee9218924	75	py	Python	amocrm_asterisk_ng/crm/amocrm/kernel/redirect_to_responsible/__init__.py	iqtek/amocrn_asterisk_ng	429a8d0823b951c855a49c1d44ab0e05263c54dc	[ "MIT" ]	null	null	null	amocrm_asterisk_ng/crm/amocrm/kernel/redirect_to_responsible/__init__.py	iqtek/amocrn_asterisk_ng	429a8d0823b951c855a49c1d44ab0e05263c54dc	[ "MIT" ]	null	null	null	amocrm_asterisk_ng/crm/amocrm/kernel/redirect_to_responsible/__init__.py	iqtek/amocrn_asterisk_ng	429a8d0823b951c855a49c1d44ab0e05263c54dc	[ "MIT" ]	null	null	null	from .GetResponsibleUserByPhoneQuery import GetResponsibleUserByPhoneQuery	37.5	74	0.933333	4	75	17.5	0.75	0	0	0	0	0	0	0	0	0	0	0.053333	75	1	75	75	0.985915	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	0	6
1093fccb58d87513667e77856af943db477ce307	1,749	py	Python	capstone/capdb/migrations/0037_auto_20180427_1535.py	rachelaus/capstone	2affa02706f9b1a99d032c66f258a7421c40a35e	[ "MIT" ]	134	2017-07-12T17:03:06.000Z	2022-03-27T06:38:29.000Z	capstone/capdb/migrations/0037_auto_20180427_1535.py	rachelaus/capstone	2affa02706f9b1a99d032c66f258a7421c40a35e	[ "MIT" ]	1,362	2017-06-22T17:42:49.000Z	2022-03-31T15:28:00.000Z	capstone/capdb/migrations/0037_auto_20180427_1535.py	rachelaus/capstone	2affa02706f9b1a99d032c66f258a7421c40a35e	[ "MIT" ]	38	2017-06-22T14:46:23.000Z	2022-03-16T05:32:54.000Z	# Generated by Django 2.0.2 on 2018-04-27 15:35 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('capdb', '0036_auto_20180419_1933'), ] operations = [ migrations.AddField( model_name='volumemetadata', name='xml_end...	32.388889	75	0.588908	173	1,749	5.763006	0.300578	0.144433	0.184554	0.21665	0.795386	0.795386	0.795386	0.671013	0.671013	0.671013	0.03752	0.299028	1,749	53	76	33	0.775693	0.025729	0.638298	1	0	0.1651	0.039953	0	0	0	1	0	false	0	0.021277	0	0.085106	0	0	0	0	null	0	1	1	0	1	1	0	0	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	6
10aa026762d0fc7b072a06adf9d7ae84a54c77e6	145	py	Python	tools/package_parser/__init__.py	fingerco/sims-4-mac-modding-tools	47d4fb8b6065b455f27cc1487cb217f2fc201641	[ "Apache-2.0" ]	3	2020-06-13T16:16:43.000Z	2021-06-19T22:23:13.000Z	tools/package_parser/__init__.py	fingerco/sims-4-mac-modding-tools	47d4fb8b6065b455f27cc1487cb217f2fc201641	[ "Apache-2.0" ]	2	2021-03-31T19:27:34.000Z	2021-12-13T20:21:58.000Z	tools/package_parser/__init__.py	fingerco/sims-4-mac-modding-tools	47d4fb8b6065b455f27cc1487cb217f2fc201641	[ "Apache-2.0" ]	1	2020-05-13T19:59:40.000Z	2020-05-13T19:59:40.000Z	from .package_file_reader import PackageFileReader from .package_file_writer import PackageFileWriter from .helpers import resource_type_by_name	36.25	50	0.896552	19	145	6.473684	0.684211	0.178862	0.243902	0	0	0	0	0	0	0	0	0.082759	145	3	51	48.333333	0.924812	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	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	null	0	0	0	0	1	0	1	0	1	0	6
10ae742212651c6db0116ecc2bb79d733162fa38	112	py	Python	python/varspark/__init__.py	jamesrcounts/VariantSpark	ba8935a342648a15fc7aaa045d51eedcd7938519	[ "BSD-3-Clause" ]	6	2018-06-22T21:27:55.000Z	2019-08-24T00:56:04.000Z	python/varspark/__init__.py	jamesrcounts/VariantSpark	ba8935a342648a15fc7aaa045d51eedcd7938519	[ "BSD-3-Clause" ]	null	null	null	python/varspark/__init__.py	jamesrcounts/VariantSpark	ba8935a342648a15fc7aaa045d51eedcd7938519	[ "BSD-3-Clause" ]	1	2019-07-31T14:16:00.000Z	2019-07-31T14:16:00.000Z	try: from varspark.core import VariantsContext except Exception: pass from varspark.etc import find_jar	18.666667	45	0.785714	15	112	5.8	0.8	0.275862	0	0	0	0	0	0	0	0	0	0.178571	112	5	46	22.4	0.945652	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.4	0	0.4	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	1	0	0	0	6

Subsets and Splits

No community queries yet

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