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train · 253k rows

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ef23a48948cf4e59d9a3ba6ae6aa377b374de99b	35,965	py	Python	py_hawkesn_sir/py_hawkesn_sir/hawkesn_seir_parallelizable.py	yogabonito/seir_hawkes	c632d7faabea396a91c80e2941d5b93232b64b3b	[ "BSD-3-Clause" ]	4	2019-11-14T03:06:12.000Z	2021-01-05T23:37:11.000Z	py_hawkesn_sir/py_hawkesn_sir/hawkesn_seir_parallelizable.py	yogabonito/seir_hawkes	c632d7faabea396a91c80e2941d5b93232b64b3b	[ "BSD-3-Clause" ]	null	null	null	py_hawkesn_sir/py_hawkesn_sir/hawkesn_seir_parallelizable.py	yogabonito/seir_hawkes	c632d7faabea396a91c80e2941d5b93232b64b3b	[ "BSD-3-Clause" ]	null	null	null	import numbers from scipy.optimize import fmin_l_bfgs_b import numpy as np import matplotlib.pyplot as plt llf_factor = 10**6 # factor for avoiding a too flat likelihood function def exp_intensity(beta, sigma, gamma, n, history, sum_less_equal=True): """ Calculate the (exponential) intensity of a HawkesN pr...	36.21853	217	0.575393	4,585	35,965	4.328462	0.07241	0.042931	0.032651	0.069435	0.826464	0.80263	0.774211	0.754913	0.740351	0.72861	0.012439	0.313749	35,965	992	218	36.25504	0.791662	0.436118	0.51049	0	0	0.014731	0	0	0.002016	0	1	0.055944	false	0	0.009324	0.002331	0.125874	0.009324	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ef37673e90804422703b3fc457e621c0e505a2d1	24,876	py	Python	test/message_test.py	Watchful1/RedditSubsBot	a65733f6a4a5a50b46463887ed38f6a0fb1d89b5	[ "MIT" ]	20	2017-02-06T21:06:55.000Z	2019-09-15T19:24:38.000Z	test/message_test.py	Watchful1/RedditSubsBot	a65733f6a4a5a50b46463887ed38f6a0fb1d89b5	[ "MIT" ]	108	2016-07-18T03:17:25.000Z	2019-03-05T18:44:27.000Z	test/message_test.py	Watchful1/RedditSubsBot	a65733f6a4a5a50b46463887ed38f6a0fb1d89b5	[ "MIT" ]	4	2017-02-06T21:07:00.000Z	2019-07-24T01:21:16.000Z	import discord_logging log = discord_logging.get_logger(init=True) import messages import utils from praw_wrapper import reddit_test import static from classes.submission import Submission from classes.subscription import Subscription from classes.comment import DbComment from classes.notification import Notification...	30.262774	103	0.781436	3,086	24,876	6.021711	0.052171	0.070656	0.055266	0.068019	0.883119	0.859603	0.831297	0.806597	0.784911	0.762848	0.006345	0.113	24,876	821	104	30.299635	0.835849	0	0.67147	0	0	0.117824	0.006311	0	0	0.131124	1	0.04611	false	0	0.012968	0	0.059078	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ef3f8fe20f6e0d7a4aa9aa6759cb4ac45cce87d5	2,786	py	Python	tests/test_command_load.py	imolloy/kestrel-lang	2844168253d92e6607013e873d862f365e2a1913	[ "Apache-2.0" ]	119	2021-06-04T15:40:10.000Z	2022-03-24T09:56:53.000Z	tests/test_command_load.py	imolloy/kestrel-lang	2844168253d92e6607013e873d862f365e2a1913	[ "Apache-2.0" ]	76	2021-06-04T15:06:10.000Z	2022-03-20T21:03:13.000Z	tests/test_command_load.py	imolloy/kestrel-lang	2844168253d92e6607013e873d862f365e2a1913	[ "Apache-2.0" ]	28	2021-06-05T07:27:15.000Z	2022-01-20T18:43:47.000Z	import pytest import os from kestrel.session import Session from kestrel.exceptions import MissingEntityType def test_load_full_csv(): data_file_path = os.path.join( os.path.dirname(__file__), "test_input_data_procs.csv" ) with Session() as s: stmt = f"newvar = LOAD {data_file_path}" ...	30.282609	87	0.606604	402	2,786	3.912935	0.141791	0.071202	0.106802	0.062301	0.863319	0.837889	0.837889	0.837889	0.837889	0.818182	0.007201	0.252333	2,786	91	88	30.615385	0.74796	0	0.684211	0	0	0.227566	0.076454	0	0	0.210526	1	0.092105	false	0	0.052632	0	0.144737	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
32af58ea3217bb4024f4bd1edc4d932218ff085f	2,494	py	Python	json_templates/ItemBP.py	TristanPrisemut/mcpybox	a6d1ee1e284c76588fb7fb214e006f02348181d6	[ "MIT" ]	null	null	null	json_templates/ItemBP.py	TristanPrisemut/mcpybox	a6d1ee1e284c76588fb7fb214e006f02348181d6	[ "MIT" ]	1	2022-03-10T23:05:38.000Z	2022-03-10T23:05:38.000Z	json_templates/ItemBP.py	TristanPrisemut/mcpybox	a6d1ee1e284c76588fb7fb214e006f02348181d6	[ "MIT" ]	null	null	null	import json #! Non-Eatable #? @identifier - the identifier of the item #? @use_duration - the use_duration of the item in game #* return json data from v[1.16.0] def non_eatable(identifier, use_duration, max_stack_size): data = { "format_version": "1.16.0", "minecraft:item": { "descript...	33.702703	95	0.538492	254	2,494	5.082677	0.188976	0.127808	0.083656	0.058095	0.850503	0.831139	0.831139	0.831139	0.831139	0.831139	0.014625	0.342021	2,494	73	96	34.164384	0.77209	0.180032	0.603448	0	0	0.280512	0.114173	0	0	0	1	0.051724	false	0	0.017241	0	0.12069	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
32c23b44faa9f7c50e58f9cb1be6ec7b2b6068a0	5,516	py	Python	tests/conftest.py	item4/ugoira	3d5a1f8f82cf351b2c35349227bf5eb1129d2ae9	[ "MIT" ]	11	2018-04-21T08:04:11.000Z	2021-02-14T17:09:33.000Z	tests/conftest.py	item4/ugoira	3d5a1f8f82cf351b2c35349227bf5eb1129d2ae9	[ "MIT" ]	16	2018-09-18T11:10:12.000Z	2021-02-14T16:47:29.000Z	tests/conftest.py	item4/ugoira	3d5a1f8f82cf351b2c35349227bf5eb1129d2ae9	[ "MIT" ]	3	2018-09-18T10:50:45.000Z	2021-01-31T18:01:33.000Z	import pathlib import zipfile from PIL import Image, ImageColor import pytest @pytest.fixture() def fx_tmpdir(tmpdir): """Make :class:`pathlib.Path` instance of ```tmpdir```.""" return pathlib.Path(str(tmpdir)) @pytest.fixture(scope='session') def ugoira_id(): return 74442143 @pytest.fixture(scope=...	44.845528	2,856	0.607868	776	5,516	4.279639	0.240979	0.185486	0.231858	0.320385	0.384824	0.336043	0.319181	0.319181	0.319181	0.319181	0.181054	0.115845	5,516	122	2,857	45.213115	0.499897	0.049311	0.538462	0	0.025641	0.646026	0.596451	0	0	0	1	0.128205	false	0	0.051282	0.051282	0.307692	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	1	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	0	6
0869e0376f370c40ad50cd1103f55ff7bc8cbadf	659	py	Python	model_factory/layers/__init__.py	yinochaos/model_factory	d8ff8b049cef9b2c19d6dc303874aee6401dc5ef	[ "Apache-2.0" ]	null	null	null	model_factory/layers/__init__.py	yinochaos/model_factory	d8ff8b049cef9b2c19d6dc303874aee6401dc5ef	[ "Apache-2.0" ]	null	null	null	model_factory/layers/__init__.py	yinochaos/model_factory	d8ff8b049cef9b2c19d6dc303874aee6401dc5ef	[ "Apache-2.0" ]	null	null	null	from __future__ import absolute_import, division, print_function #__all__ = ['seq2seq_cross_entropy_loss'] from model_factory.layers.attentions.multihead_attention import MultiHeadAttention, RelativeMultiHeadAttention from model_factory.layers.embeddings.pos_embedding import TransformerEmbedding, RelativePositionalEmbe...	65.9	110	0.890744	75	659	7.52	0.466667	0.111702	0.198582	0.27305	0.280142	0.159574	0	0	0	0	0.001616	0.060698	659	9	111	73.222222	0.909532	0.060698	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0.125	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
088408813b0a97cfb6ba548e4257bb2a767d5d3a	623	py	Python	Visualization/FourierSquareWaveVisualization.py	SymmetricChaos/FiniteFields	65258e06b7f04ce15223c1bc0c2384ef5e9cec1a	[ "MIT" ]	1	2021-08-22T15:03:59.000Z	2021-08-22T15:03:59.000Z	Visualization/FourierSquareWaveVisualization.py	SymmetricChaos/NumberTheory	65258e06b7f04ce15223c1bc0c2384ef5e9cec1a	[ "MIT" ]	null	null	null	Visualization/FourierSquareWaveVisualization.py	SymmetricChaos/NumberTheory	65258e06b7f04ce15223c1bc0c2384ef5e9cec1a	[ "MIT" ]	null	null	null	from Fourier import Fourier, evaluate_series import numpy as np import matplotlib.pyplot as plt fig = plt.figure() x = np.linspace(-5,5,150) pi = np.pi S = Fourier([0],[0],[0]) for i in [1,3,5]: A = Fourier([4/(pi*i)],[i]) plt.plot(x,evaluate_series(A,x),color='gray',linestyle=":") S += A yS = evaluate_se...	21.482759	63	0.614767	119	623	3.176471	0.285714	0.185185	0.084656	0.068783	0.777778	0.777778	0.777778	0.777778	0.777778	0.777778	0.045541	0.154093	623	29	64	21.482759	0.671727	0	0.782609	0	0	0.032051	0	0	0	0	1	0	false	0	0.130435	0	0.130435	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
089710754fb7ed7774e8fedc1025c6640e6d9081	256	py	Python	replikate_lib/terminal/colors.py	rloic/replikate	1503d2c77aef4103f3a930664d0e2a2267c93f34	[ "MIT" ]	null	null	null	replikate_lib/terminal/colors.py	rloic/replikate	1503d2c77aef4103f3a930664d0e2a2267c93f34	[ "MIT" ]	null	null	null	replikate_lib/terminal/colors.py	rloic/replikate	1503d2c77aef4103f3a930664d0e2a2267c93f34	[ "MIT" ]	null	null	null	def info(s: str) -> str: return '\033[34m' + s + '\033[0m' def log(s: str) -> str: return '\033[32m' + s + '\033[0m' def warn(s: str) -> str: return '\033[33m' + s + '\033[0m' def err(s: str) -> str: return '\033[31m' + s + '\033[0m'	17.066667	37	0.492188	44	256	2.863636	0.318182	0.126984	0.222222	0.412698	0.507937	0	0	0	0	0	0.189474	0.257813	256	14	38	18.285714	0.473684	0	0	0	0	0.234375	0	0	0	0	1	0.5	false	0	0	0.5	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
08b79e1077b46c3c9746815ef84806a8346ad9ad	219	py	Python	python/high-scores/high_scores.py	willdjames/exercism-praticas	8de2fc82459c3f9e5eaff20bad4ce7a760ba786e	[ "MIT" ]	null	null	null	python/high-scores/high_scores.py	willdjames/exercism-praticas	8de2fc82459c3f9e5eaff20bad4ce7a760ba786e	[ "MIT" ]	null	null	null	python/high-scores/high_scores.py	willdjames/exercism-praticas	8de2fc82459c3f9e5eaff20bad4ce7a760ba786e	[ "MIT" ]	null	null	null	def latest(scores): return personal_top_three(scores)[-1] def personal_best(scores): return personal_top_three(scores)[0] def personal_top_three(scores): scores.sort(reverse=True) return scores[0:3]	18.25	41	0.73516	32	219	4.8125	0.4375	0.214286	0.311688	0.428571	0.441558	0.441558	0	0	0	0	0.021505	0.150685	219	11	42	19.909091	0.806452	0	0	0	0	0	0	0	0	0	1	0.428571	false	0	0	0.285714	0.857143	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
3efa76b899ac3ced05baffaec5dad84313fe0247	28	py	Python	djmease/__init__.py	florianpaquet/django-mease	f1512ad5a337f457854c11c0606fd3331e6f4ccb	[ "MIT" ]	4	2015-07-09T21:06:50.000Z	2018-04-02T21:54:10.000Z	djmease/__init__.py	florianpaquet/django-mease	f1512ad5a337f457854c11c0606fd3331e6f4ccb	[ "MIT" ]	null	null	null	djmease/__init__.py	florianpaquet/django-mease	f1512ad5a337f457854c11c0606fd3331e6f4ccb	[ "MIT" ]	null	null	null	from .registry import mease	14	27	0.821429	4	28	5.75	1	0	0	0	0	0	0	0	0	0	0	0.142857	28	1	28	28	0.958333	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	null	0	0	0	0	0	1	0	1	0	1	0	6
41094a8fef5daa3e76f7967d3503d412c955d553	12,996	py	Python	tests/test_data_version_handler.py	JohannesBrand/ecl_ekf_analysis	9d0f3875767f94c5a37a676161e42b2e14589e8f	[ "BSD-3-Clause" ]	null	null	null	tests/test_data_version_handler.py	JohannesBrand/ecl_ekf_analysis	9d0f3875767f94c5a37a676161e42b2e14589e8f	[ "BSD-3-Clause" ]	null	null	null	tests/test_data_version_handler.py	JohannesBrand/ecl_ekf_analysis	9d0f3875767f94c5a37a676161e42b2e14589e8f	[ "BSD-3-Clause" ]	null	null	null	#! /usr/bin/env python3 """ Testing the data version handler. """ import os import pytest from pyulog import ULog import ecl_ekf_analysis.log_processing.data_version_handler as dvh @pytest.fixture(scope="module") def testing_args(): """ arguments for testing. :return: test arguments """ flight_log...	58.278027	99	0.720914	1,693	12,996	5.004135	0.064973	0.183782	0.319169	0.217186	0.897781	0.890227	0.877715	0.750118	0.300637	0.116737	0.015558	0.124577	12,996	222	100	58.540541	0.729103	0.028393	0.052632	0	0	0.558117	0.104268	0	0	0.047368	1	0.021053	false	0	0.021053	0	0.047368	0.005263	0	0	0	null	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
411ddf25efd589974ec09e1e07b096a864eeffd8	3,288	py	Python	deep_utils/vision/face_detection/mtcnn/tf/src/get_nets.py	dornasabet/deep_utils	be61b36ea5b3219831e9f2a364fbd4a63858abed	[ "MIT" ]	36	2021-11-10T05:17:18.000Z	2022-03-27T18:25:10.000Z	deep_utils/vision/face_detection/mtcnn/tf/src/get_nets.py	MenuaB/deep_utils	b1b936f4780ea7dc52224f53f5116288c5b0a804	[ "MIT" ]	15	2021-07-24T06:23:04.000Z	2021-09-18T05:30:20.000Z	deep_utils/vision/face_detection/mtcnn/tf/src/get_nets.py	MenuaB/deep_utils	b1b936f4780ea7dc52224f53f5116288c5b0a804	[ "MIT" ]	4	2021-11-28T07:39:57.000Z	2022-03-30T05:46:10.000Z	def ONet(weight_path='onet.h5'): from tensorflow.keras.layers import Conv2D, Input, MaxPool2D, Flatten, Dense, Permute, PReLU from tensorflow.keras.models import Model input = Input(shape=[48, 48, 3]) x = Conv2D(32, (3, 3), strides=1, padding='valid', name='conv1')(input) x = PReLU(shared_axes=[1, 2...	46.309859	106	0.631083	513	3,288	3.974659	0.1423	0.027464	0.073565	0.098087	0.833252	0.822952	0.822952	0.731241	0.719961	0.702795	0.066863	0.172141	3,288	70	107	46.971429	0.682219	0.020073	0.483871	0	0	0.087267	0	0	0	0	1	0.048387	false	0	0.096774	0	0.193548	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
f5aafa35e68a765d8013610d33f512215aba2b2a	96	py	Python	venv/lib/python3.8/site-packages/pip/_vendor/urllib3/util/ssltransport.py	GiulianaPola/select_repeats	17a0d053d4f874e42cf654dd142168c2ec8fbd11	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/pip/_vendor/urllib3/util/ssltransport.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/pip/_vendor/urllib3/util/ssltransport.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/17/f5/27/70e5c671cf8c81e5854c0d47e100adfd144d41745b17aa278dedd2c876	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.427083	0	96	1	96	96	0.46875	0	0	0	0	0	0	1	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	6
eb1873892d4386ce08ec973bae5ddaf10dfd0822	32,075	py	Python	migrations/versions/2020-08-30_postgres_indexes_de48fc5206e4.py	onecrayon/api.ashes.live	72709fb4e53220aa9b48749a51f5b834ebb2ca42	[ "0BSD" ]	11	2020-09-13T16:49:21.000Z	2021-07-29T06:17:58.000Z	migrations/versions/2020-08-30_postgres_indexes_de48fc5206e4.py	onecrayon/api.ashes.live	72709fb4e53220aa9b48749a51f5b834ebb2ca42	[ "0BSD" ]	49	2020-09-11T05:23:02.000Z	2022-03-02T18:31:00.000Z	migrations/versions/2020-08-30_postgres_indexes_de48fc5206e4.py	onecrayon/api.ashes.live	72709fb4e53220aa9b48749a51f5b834ebb2ca42	[ "0BSD" ]	1	2022-03-27T22:11:29.000Z	2022-03-27T22:11:29.000Z	"""postgres_indexes Revision ID: de48fc5206e4 Revises: c58a815a71a0 Create Date: 2020-08-30 17:13:43.204983+00:00 """ from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import postgresql # revision identifiers, used by Alembic. revision = "de48fc5206e4" down_revision = "c58a815a71a0" branch_labe...	38.367225	88	0.654653	4,315	32,075	4.413905	0.042178	0.065526	0.076447	0.052504	0.945395	0.924551	0.88596	0.833666	0.724929	0.644282	0.036095	0.193266	32,075	835	89	38.413174	0.699954	0.011473	0.456654	0	0	0.393835	0.185102	0	0	0	1	0.002442	false	0	0.003663	0	0.006105	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
de8f12d11c5e2b1e75e9e47669f2a8569398e899	279	py	Python	PythonScript/models.py	Arsennnic/OpenVHead	27d3b890f04c1be321c8d56e79554cae7206ae0a	[ "MIT" ]	null	null	null	PythonScript/models.py	Arsennnic/OpenVHead	27d3b890f04c1be321c8d56e79554cae7206ae0a	[ "MIT" ]	null	null	null	PythonScript/models.py	Arsennnic/OpenVHead	27d3b890f04c1be321c8d56e79554cae7206ae0a	[ "MIT" ]	null	null	null	#!/usr/bin/env python3 # -- coding: utf-8 -- """ Created on Wed Feb 26 16:19:20 2020 @author: Hawk Shaw """ class Model(): def __init__(self, feature_points): self.feature_points = feature_points def foo(self): # TODO: do something... pass	15.5	44	0.598566	38	279	4.210526	0.815789	0.24375	0.2125	0	0	0	0	0	0	0	0.067308	0.25448	279	17	45	16.411765	0.701923	0.433692	0	0	0	0	0	0	0.058824	0	1	0.4	false	0.2	0	0	0.6	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	1	0	0	1	0	6
a0e29f5baa59261ba7ca245a1bf2e4159b22f5b8	71	py	Python	notebooks/lib/activation_functions/sigmoid.py	claclacla/Analyze-text-sentiment-The-machine-learning-approach	6638b6f3d330d7618cee5980bc38abc6e84a43db	[ "MIT" ]	null	null	null	notebooks/lib/activation_functions/sigmoid.py	claclacla/Analyze-text-sentiment-The-machine-learning-approach	6638b6f3d330d7618cee5980bc38abc6e84a43db	[ "MIT" ]	null	null	null	notebooks/lib/activation_functions/sigmoid.py	claclacla/Analyze-text-sentiment-The-machine-learning-approach	6638b6f3d330d7618cee5980bc38abc6e84a43db	[ "MIT" ]	null	null	null	import numpy as np def sigmoid(num): return 1 / (1 + np.exp(-num))	17.75	33	0.619718	13	71	3.384615	0.769231	0	0	0	0	0	0	0	0	0	0.036364	0.225352	71	4	33	17.75	0.763636	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
9d158eb4fe42822fee73a92f313022676038901b	164	py	Python	tests/basic/with.py	MoonStarCZW/py2rb	89b247717d33d780fbf143e1583bfe9252984da4	[ "MIT" ]	124	2017-08-19T05:37:16.000Z	2022-03-08T18:24:18.000Z	tests/basic/with.py	MoonStarCZW/py2rb	89b247717d33d780fbf143e1583bfe9252984da4	[ "MIT" ]	15	2017-12-16T05:59:31.000Z	2022-02-08T02:51:17.000Z	tests/basic/with.py	MoonStarCZW/py2rb	89b247717d33d780fbf143e1583bfe9252984da4	[ "MIT" ]	18	2017-09-25T11:57:04.000Z	2022-02-19T17:33:48.000Z	with open("hello.txt", 'w') as f: f.write("Hello, world!") with open("hello.txt", 'r') as f: print(f.read()) with open("hello.txt", 'r'): print('ok')	18.222222	33	0.54878	28	164	3.214286	0.464286	0.266667	0.433333	0.533333	0.377778	0	0	0	0	0	0	0.189024	164	8	34	20.5	0.676692	0	0	0	0	0.27439	0	0	0	0	1	0	true	0	0	0	0	0.333333	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
9d2aa63e47154382cafdd20eab87bb534ccd872b	43	py	Python	LiBis/test/test.py	biobai/LiBis	e334cd14de2d365943c2f4edbc36505901f01df1	[ "MIT" ]	null	null	null	LiBis/test/test.py	biobai/LiBis	e334cd14de2d365943c2f4edbc36505901f01df1	[ "MIT" ]	null	null	null	LiBis/test/test.py	biobai/LiBis	e334cd14de2d365943c2f4edbc36505901f01df1	[ "MIT" ]	null	null	null	import os print(os.path.abspath(__file__))	14.333333	32	0.790698	7	43	4.285714	0.857143	0	0	0	0	0	0	0	0	0	0	0.069767	43	2	33	21.5	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	null	0	0	0	0	0	1	0	1	0	0	1	6
9d3cfe2670fc3179c5b4900ed52840d18d720514	187	py	Python	django/contrib/gis/gdal/base.py	Yoann-Vie/esgi-hearthstone	115d03426c7e8e80d89883b78ac72114c29bed12	[ "PSF-2.0", "BSD-3-Clause" ]	null	null	null	django/contrib/gis/gdal/base.py	Yoann-Vie/esgi-hearthstone	115d03426c7e8e80d89883b78ac72114c29bed12	[ "PSF-2.0", "BSD-3-Clause" ]	null	null	null	django/contrib/gis/gdal/base.py	Yoann-Vie/esgi-hearthstone	115d03426c7e8e80d89883b78ac72114c29bed12	[ "PSF-2.0", "BSD-3-Clause" ]	null	null	null	from django.contrib.gis.gdal.error import GDALException from django.contrib.gis.ptr import CPointerBase class GDALBase(CPointerBase): null_ptr_exception_class = GDALException	26.714286	56	0.807487	23	187	6.434783	0.608696	0.135135	0.22973	0.27027	0	0	0	0	0	0	0	0.13369	187	6	57	31.166667	0.91358	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	1	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
9d5c09b937ea55139c86036d46503fa566b557d9	16,396	py	Python	src/models.py	javierAraluce/ARAGAN	5954cb8f5975b16b506ed33aaf842fc1cd715044	[ "MIT" ]	1	2022-02-02T20:06:15.000Z	2022-02-02T20:06:15.000Z	src/models.py	javierAraluce/ARAGAN	5954cb8f5975b16b506ed33aaf842fc1cd715044	[ "MIT" ]	null	null	null	src/models.py	javierAraluce/ARAGAN	5954cb8f5975b16b506ed33aaf842fc1cd715044	[ "MIT" ]	null	null	null	import tensorflow as tf from modules import Modules from typing import Tuple class Models(object): def __init__(self, img_height: int, img_width: int, output_channels: int, batch_size: int): self.blocks = Modules() self.IMG_HEIG...	38.669811	80	0.425714	1,443	16,396	4.686071	0.101178	0.053239	0.044218	0.070985	0.795031	0.743123	0.732919	0.732919	0.710145	0.699201	0.053138	0.492681	16,396	423	81	38.761229	0.759798	0.054038	0.758523	0	0	0.011769	0	0	0	0	1	0.019886	false	0	0.008523	0	0.048295	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
c233e169a05d81a7a845d67c95ccd6b1fb89721b	3,892	py	Python	src/problems/3dknapsack/src/knapsack.py	samuelpsouza/Computer-Science	55bb15de7927141b49d9f535e18cf552454e9ea8	[ "Apache-2.0" ]	null	null	null	src/problems/3dknapsack/src/knapsack.py	samuelpsouza/Computer-Science	55bb15de7927141b49d9f535e18cf552454e9ea8	[ "Apache-2.0" ]	null	null	null	src/problems/3dknapsack/src/knapsack.py	samuelpsouza/Computer-Science	55bb15de7927141b49d9f535e18cf552454e9ea8	[ "Apache-2.0" ]	null	null	null	def knapsack_0_1(W, v, w): p = MixedIntegerLinearProgram() x = p.new_variable(integer=True, nonnegative=True) p.set_objective(p.sum(x[i] * v[i] for i in range(len(v)))) p.add_constraint(p.sum(x[i] * w[i] for i in range(len(v))) <= W) for i in range(len(v)): p.add_constraint(x[i] <= 1) ...	26.657534	70	0.562436	727	3,892	2.917469	0.093535	0.054691	0.082037	0.150401	0.855728	0.842527	0.818953	0.814239	0.789722	0.761433	0.0241	0.243063	3,892	146	71	26.657534	0.695859	0.008479	0.66	0	0	0.001037	0	0	0	0	1	0.09	false	0	0	0	0.12	0.08	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
dfa8589eabb9c8bdbd49cafd213c738e54bcfac7	221	py	Python	tccli/services/faceid/__init__.py	hapsyou/tencentcloud-cli-intl-en	fa8ba71164484f9a2be4b983080a1de08606c0b0	[ "Apache-2.0" ]	null	null	null	tccli/services/faceid/__init__.py	hapsyou/tencentcloud-cli-intl-en	fa8ba71164484f9a2be4b983080a1de08606c0b0	[ "Apache-2.0" ]	null	null	null	tccli/services/faceid/__init__.py	hapsyou/tencentcloud-cli-intl-en	fa8ba71164484f9a2be4b983080a1de08606c0b0	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- from tccli.services.faceid.faceid_client import register_arg from tccli.services.faceid.faceid_client import get_actions_info from tccli.services.faceid.faceid_client import AVAILABLE_VERSION_LIST	44.2	70	0.841629	32	221	5.5625	0.53125	0.151685	0.286517	0.38764	0.691011	0.691011	0.691011	0	0	0	0.004902	0.076923	221	4	71	55.25	0.867647	0.095023	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	null	0	0	0	0	0	1	0	1	0	1	0	6
dfd762e474c88b37001500803f28ee7114768e9f	92	py	Python	dsaa/rsa.py	ntdgy/python_study	c3511846a89ea72418937de4cc3edf1595a46ec5	[ "MIT" ]	null	null	null	dsaa/rsa.py	ntdgy/python_study	c3511846a89ea72418937de4cc3edf1595a46ec5	[ "MIT" ]	null	null	null	dsaa/rsa.py	ntdgy/python_study	c3511846a89ea72418937de4cc3edf1595a46ec5	[ "MIT" ]	null	null	null	# for i in range(1000): # if 7 * i % 48 == 1: # print(i) print(pow(57, 7) % 65)	18.4	25	0.445652	17	92	2.411765	0.764706	0	0	0	0	0	0	0	0	0	0.216667	0.347826	92	4	26	23	0.466667	0.673913	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	6
a03c4bd55bc1ff5be909c4e186b3bf1ff9bfe018	46	py	Python	VirginEurope/api/conf.py	fpeterek/VirginEuropeApp	79418e5f6db0fd717001fff7fd89620c1e7cffc8	[ "MIT" ]	null	null	null	VirginEurope/api/conf.py	fpeterek/VirginEuropeApp	79418e5f6db0fd717001fff7fd89620c1e7cffc8	[ "MIT" ]	null	null	null	VirginEurope/api/conf.py	fpeterek/VirginEuropeApp	79418e5f6db0fd717001fff7fd89620c1e7cffc8	[ "MIT" ]	null	null	null	class Conf: url = 'http://127.0.0.1:8080'	15.333333	33	0.565217	9	46	2.888889	0.888889	0	0	0	0	0	0	0	0	0	0.27027	0.195652	46	2	34	23	0.432432	0	0	0	0	0.456522	0	0	0	0	1	0	false	0	0	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	6
a049c560a10df0b77b864102a6ff411e9aaab1c7	1,783	py	Python	model_v3.py	vitorglemos/sentiment-analysis	7ca3c7e3f97e503f573c35a49b3149fca67d1840	[ "MIT" ]	1	2021-05-07T16:22:18.000Z	2021-05-07T16:22:18.000Z	model_v3.py	vitorglemos/sentiment-analysis	7ca3c7e3f97e503f573c35a49b3149fca67d1840	[ "MIT" ]	null	null	null	model_v3.py	vitorglemos/sentiment-analysis	7ca3c7e3f97e503f573c35a49b3149fca67d1840	[ "MIT" ]	null	null	null	num_features = 64 num_labels = 7 batch_size = 64 epochs = 100 width, height = 48, 48 model = Sequential() model.add(Conv2D(num_features, kernel_size=(3, 3), activation='relu', input_shape=(width, height, 1), data_format='channels_last', kernel_regularizer=l2(0.01))) model.add(Conv2D(num_features, kernel_size=(3, 3), ...	37.145833	160	0.734717	280	1,783	4.567857	0.160714	0.193901	0.084441	0.131353	0.852228	0.841282	0.841282	0.834246	0.834246	0.802189	0.055689	0.063376	1,783	47	161	37.93617	0.71018	0	0.631579	0	0	0.051598	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a06f95448803d86e62372ce7de9a80bb25060e9b	78	py	Python	cartoview/apps_handler/__init__.py	mofath/cartoview	53f3891172686aaf4de296c3b1e2356aeba29d73	[ "BSD-2-Clause" ]	2	2021-12-29T02:18:01.000Z	2021-12-29T02:18:02.000Z	cartoview/apps_handler/__init__.py	mofath/cartoview	53f3891172686aaf4de296c3b1e2356aeba29d73	[ "BSD-2-Clause" ]	null	null	null	cartoview/apps_handler/__init__.py	mofath/cartoview	53f3891172686aaf4de296c3b1e2356aeba29d73	[ "BSD-2-Clause" ]	null	null	null	# -- coding: utf-8 -- from .utils import create_apps_dir create_apps_dir()	15.6	34	0.705128	12	78	4.25	0.75	0.392157	0.509804	0	0	0	0	0	0	0	0.014925	0.141026	78	4	35	19.5	0.746269	0.269231	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
263bc955cadae8558bbf13e70bdb08b31abe0a3e	41	py	Python	problems/biclique/__init__.py	Benezivas/algobattle-problems	b00b85413893bd1618001a4cdaa0dd7442f4e481	[ "MIT" ]	null	null	null	problems/biclique/__init__.py	Benezivas/algobattle-problems	b00b85413893bd1618001a4cdaa0dd7442f4e481	[ "MIT" ]	null	null	null	problems/biclique/__init__.py	Benezivas/algobattle-problems	b00b85413893bd1618001a4cdaa0dd7442f4e481	[ "MIT" ]	null	null	null	from .problem import Biclique as Problem	20.5	40	0.829268	6	41	5.666667	0.833333	0	0	0	0	0	0	0	0	0	0	0.146341	41	1	41	41	0.971429	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	null	0	0	0	0	0	1	0	1	0	1	0	6
cd638e9d5cc2ced2368475f472d34e3fcbd242f9	899	py	Python	trim_model.py	kobewangSky/CenterNet	c7f001b1534064a1932b81df0c28c6197bec8375	[ "MIT" ]	null	null	null	trim_model.py	kobewangSky/CenterNet	c7f001b1534064a1932b81df0c28c6197bec8375	[ "MIT" ]	null	null	null	trim_model.py	kobewangSky/CenterNet	c7f001b1534064a1932b81df0c28c6197bec8375	[ "MIT" ]	null	null	null	import os import torch os.environ["CUDA_VISIBLE_DEVICE"] = "1" model = torch.load("./exp/ctdet/ctdet_coco_hg.pth") del model['iteration'] del model['scheduler'] del model['optimizer'] del model['model']['module.roi_heads.box.predictor.cls_score.weight'] del model['model']['module.roi_heads.box.predictor.cls_score.bia...	44.95	76	0.769744	142	899	4.690141	0.28169	0.156156	0.195195	0.285285	0.717718	0.717718	0.717718	0.678679	0.459459	0.441441	0.011628	0.043382	899	20	77	44.95	0.762791	0	0	0	0	0.653333	0.545556	0	0	0	1	0	false	0	0.111111	0	0.111111	0	0	0	0	null	0	1	1	0	1	1	0	0	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	0	6
269cb65feabb699098d8c4ed019933e7998f85a5	2,275	py	Python	openomics/genomics.py	muluayele999/OpenOmics	29e3bbc586489c3929ac54d9886627f907aa38b1	[ "MIT" ]	null	null	null	openomics/genomics.py	muluayele999/OpenOmics	29e3bbc586489c3929ac54d9886627f907aa38b1	[ "MIT" ]	1	2021-12-13T20:51:32.000Z	2021-12-13T20:51:32.000Z	openomics/genomics.py	muluayele999/OpenOmics	29e3bbc586489c3929ac54d9886627f907aa38b1	[ "MIT" ]	1	2021-02-18T10:39:00.000Z	2021-02-18T10:39:00.000Z	from openomics.database.annotation import Annotatable from openomics.transcriptomics import ExpressionData class SingleNucleotideVariants(ExpressionData, Annotatable): pass class SomaticMutation(ExpressionData, Annotatable): def __init__(self, cohort_name, file_path, columns, genes_col_name, gene_index, samp...	49.456522	118	0.634725	217	2,275	6.211982	0.179724	0.097923	0.080119	0.080119	0.810831	0.810831	0.810831	0.810831	0.810831	0.810831	0.007524	0.298901	2,275	45	119	50.555556	0.837618	0	0.611111	0	0	0.018462	0	0	0	0	1	0.166667	false	0.027778	0.055556	0.083333	0.416667	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
26bf4b70079fb49c077099a6252b1ae85bcabc3f	187	py	Python	Lesson 3/task1.py	arechesk/PythonHW	e05e8c36ac208153c3cab0c512c803723760ed2d	[ "MIT" ]	null	null	null	Lesson 3/task1.py	arechesk/PythonHW	e05e8c36ac208153c3cab0c512c803723760ed2d	[ "MIT" ]	null	null	null	Lesson 3/task1.py	arechesk/PythonHW	e05e8c36ac208153c3cab0c512c803723760ed2d	[ "MIT" ]	null	null	null	def squares(args): return [i2 for i in args] def even_items(args): return args[::2] def cubes(args): return [i*3 for i in filter(lambda x: x % 2 == 0, args[1::2])]	15.583333	67	0.57754	35	187	3.057143	0.485714	0.280374	0.205607	0	0	0	0	0	0	0	0.048951	0.235294	187	11	68	17	0.699301	0	0	0	0	0	0	0	0	0	1	0.5	true	0	0	0.5	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	1	1	0	6
26d04e030b2173d3fa7d624da9a74c4c82a04ba9	4,884	py	Python	tests/network/test_ipfilter.py	Degget1986/neo-mamba	da7312d5027f3e9b0e5421495d5c00915bdfd786	[ "MIT" ]	12	2020-08-27T19:56:02.000Z	2022-03-08T03:23:43.000Z	tests/network/test_ipfilter.py	Degget1986/neo-mamba	da7312d5027f3e9b0e5421495d5c00915bdfd786	[ "MIT" ]	101	2020-07-24T08:23:00.000Z	2021-11-17T13:37:45.000Z	tests/network/test_ipfilter.py	Degget1986/neo-mamba	da7312d5027f3e9b0e5421495d5c00915bdfd786	[ "MIT" ]	11	2021-02-11T22:24:13.000Z	2021-11-18T06:45:03.000Z	import unittest from neo3.network.ipfilter import IPFilter class IPFilteringTestCase(unittest.TestCase): def test_nobody_allowed(self): filter = IPFilter() filter.load_config({ 'blacklist': [ '0.0.0.0/0' ], 'whitelist': [ ] })...	29.96319	71	0.54484	578	4,884	4.472318	0.112457	0.044101	0.179884	0.044101	0.829014	0.825919	0.788781	0.784139	0.767892	0.731528	0.094395	0.305897	4,884	162	72	30.148148	0.668142	0.029894	0.671756	0	0	0.148954	0	0	0	0.282443	1	0.068702	false	0	0.015267	0	0.091603	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
f80d622b73f648482d12831fd72291cfc98ee57b	26	py	Python	sampling_free/modeling/generalized_rcnn/rpn/paa/__init__.py	ChenJoya/sampling-free	01dfd40cf794ee5afea4f052216483f3901ecd20	[ "MIT" ]	266	2019-09-26T07:03:48.000Z	2022-02-23T13:26:16.000Z	sampling_free/modeling/generalized_rcnn/rpn/paa/__init__.py	chenjoya/sampling-free	01dfd40cf794ee5afea4f052216483f3901ecd20	[ "MIT" ]	9	2019-10-24T00:41:49.000Z	2021-12-31T01:26:08.000Z	sampling_free/modeling/generalized_rcnn/rpn/paa/__init__.py	chenjoya/sampling-free	01dfd40cf794ee5afea4f052216483f3901ecd20	[ "MIT" ]	20	2019-11-07T10:03:18.000Z	2021-11-13T14:03:31.000Z	from .paa import build_paa	26	26	0.846154	5	26	4.2	0.8	0	0	0	0	0	0	0	0	0	0	0.115385	26	1	26	26	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	null	0	0	0	0	0	1	0	1	0	1	0	6
3e072ff03a5fdcdb3278080f6b44ac147e1cf612	347	py	Python	sdk/keyvault/azure-keyvault-keys/azure/keyvault/keys/__init__.py	gautam714/azure-sdk-for-python	1741c199c42e8c85a2e14bc78195fd992837ef92	[ "MIT" ]	null	null	null	sdk/keyvault/azure-keyvault-keys/azure/keyvault/keys/__init__.py	gautam714/azure-sdk-for-python	1741c199c42e8c85a2e14bc78195fd992837ef92	[ "MIT" ]	null	null	null	sdk/keyvault/azure-keyvault-keys/azure/keyvault/keys/__init__.py	gautam714/azure-sdk-for-python	1741c199c42e8c85a2e14bc78195fd992837ef92	[ "MIT" ]	null	null	null	# ------------------------------------ # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # ------------------------------------- from .client import KeyClient from .enums import JsonWebKeyCurveName, JsonWebKeyOperation, JsonWebKeyType __all__ = ["JsonWebKeyCurveName", "JsonWebKeyOperation", "Jso...	38.555556	87	0.622478	24	347	8.833333	0.75	0.358491	0.490566	0	0	0	0	0	0	0	0	0.092219	347	8	88	43.375	0.673016	0.412104	0	0	0	0.306533	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
3e4c2ea5d22398954563b0c55718d5daab1aa317	31	py	Python	mopet/__init__.py	caglorithm/mopet	f0b8a6f163ec5160b5d5e335f09eac0aae83bcba	[ "MIT" ]	15	2020-03-13T03:43:51.000Z	2021-02-25T14:58:35.000Z	mopet/__init__.py	caglorithm/mopet	f0b8a6f163ec5160b5d5e335f09eac0aae83bcba	[ "MIT" ]	28	2020-04-20T19:48:12.000Z	2021-02-16T11:31:12.000Z	mopet/__init__.py	caglorithm/mopet	f0b8a6f163ec5160b5d5e335f09eac0aae83bcba	[ "MIT" ]	2	2020-05-06T19:48:41.000Z	2020-05-28T07:00:10.000Z	from .mopet import Exploration	15.5	30	0.83871	4	31	6.5	1	0	0	0	0	0	0	0	0	0	0	0.129032	31	1	31	31	0.962963	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	null	0	0	0	0	0	1	0	1	0	1	0	6
e4b6af73cc746f4479c6bc40a829a5ec17e679b3	146	py	Python	upgrade.py	brighthive/data-resource-api	a012fc0743f1ce2b72ddacf348c57adf44245cfa	[ "MIT" ]	4	2019-02-14T01:07:54.000Z	2019-11-04T17:28:35.000Z	upgrade.py	brighthive/data-resource-api	a012fc0743f1ce2b72ddacf348c57adf44245cfa	[ "MIT" ]	39	2019-05-30T22:08:46.000Z	2022-02-17T02:47:00.000Z	upgrade.py	brighthive/data-resource-api	a012fc0743f1ce2b72ddacf348c57adf44245cfa	[ "MIT" ]	1	2020-04-29T18:16:20.000Z	2020-04-29T18:16:20.000Z	import sys if "--upgrade-104-to-110" in sys.argv: from data_resource_api.backwards_compatibility.upgrade_104_to_110 import main main()	18.25	81	0.760274	23	146	4.565217	0.695652	0.190476	0.228571	0.285714	0	0	0	0	0	0	0.096774	0.150685	146	7	82	20.857143	0.75	0	0	0	0	0.136986	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
904418936dc36010514bb2d1610f7d9c55a1110f	202	py	Python	lcp/__init__.py	thomaspingel/lcpy	6bf2893010d1dad5ad783d7c4f0351166425a1a7	[ "MIT" ]	null	null	null	lcp/__init__.py	thomaspingel/lcpy	6bf2893010d1dad5ad783d7c4f0351166425a1a7	[ "MIT" ]	null	null	null	lcp/__init__.py	thomaspingel/lcpy	6bf2893010d1dad5ad783d7c4f0351166425a1a7	[ "MIT" ]	null	null	null	from .lcp import get_linear_routes, get_areal_routes, cost_tobler_hiking_function, cost_rademaker, cost_pingel_exponential, direct_routes, create_raster_network, get_lists, lcp_coordinate_conversion, ve	202	202	0.891089	29	202	5.655172	0.758621	0	0	0	0	0	0	0	0	0	0	0.059406	202	1	202	202	0.863158	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5f90f9c88e4d7dda72dd917f7a622a0bfacf1cec	25	py	Python	tests/__init__.py	edwar64896/pycmx	566e6257f460a62f2838e6159a75979a2e642d78	[ "MIT" ]	10	2019-11-18T08:31:40.000Z	2021-09-21T22:47:29.000Z	tests/__init__.py	edwar64896/pycmx	566e6257f460a62f2838e6159a75979a2e642d78	[ "MIT" ]	4	2018-12-01T22:00:19.000Z	2018-12-29T22:08:44.000Z	tests/__init__.py	edwar64896/pycmx	566e6257f460a62f2838e6159a75979a2e642d78	[ "MIT" ]	3	2019-12-07T06:28:29.000Z	2021-06-24T15:00:53.000Z	from . import test_parse	12.5	24	0.8	4	25	4.75	1	0	0	0	0	0	0	0	0	0	0	0.16	25	1	25	25	0.904762	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	null	0	0	0	0	0	1	0	1	0	1	0	6
5fafaaeb2a1c44205fb94ee799def6777517f744	8,752	py	Python	main.py	avara1986/pogona-api	3d99083a94e50e9a8cc86ef07971ffde586c7b4d	[ "MIT" ]	null	null	null	main.py	avara1986/pogona-api	3d99083a94e50e9a8cc86ef07971ffde586c7b4d	[ "MIT" ]	null	null	null	main.py	avara1986/pogona-api	3d99083a94e50e9a8cc86ef07971ffde586c7b4d	[ "MIT" ]	null	null	null	from google.appengine.api import mail from google.appengine.ext import db from webapp2_extras import json import os import jinja2 import webapp2 JINJA_ENVIRONMENT = jinja2.Environment( loader=jinja2.FileSystemLoader(os.path.dirname(__file__)), extensions=['jinja2.ext.autoescape'], autoescape=True) class...	32.414815	98	0.497715	874	8,752	4.924485	0.136156	0.078067	0.075046	0.069703	0.797862	0.797862	0.758829	0.740706	0.721654	0.707714	0.006453	0.380256	8,752	269	99	32.535316	0.787058	0	0.731915	0	0	0.180187	0.063643	0	0	0	1	0.042553	false	0	0.025532	0	0.106383	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
396be05b7f8cebf952d282e3c3765232e1718e9f	218	py	Python	modules/ranking/models/annotations_ranking.py	heolin123/funcrowd	20167783de208394c09ed0429a5f02ec6dd79c42	[ "MIT" ]	null	null	null	modules/ranking/models/annotations_ranking.py	heolin123/funcrowd	20167783de208394c09ed0429a5f02ec6dd79c42	[ "MIT" ]	11	2019-11-12T23:26:45.000Z	2021-06-10T17:37:23.000Z	modules/ranking/models/annotations_ranking.py	heolin123/funcrowd	20167783de208394c09ed0429a5f02ec6dd79c42	[ "MIT" ]	null	null	null	from modules.ranking.models.ranking import Ranking from modules.ranking.query.base import ANNOTATIONS_COUNT_RANKING_BASE_QUERY class AnnotationsRanking(Ranking): BASE_QUERY = ANNOTATIONS_COUNT_RANKING_BASE_QUERY	31.142857	75	0.866972	28	218	6.428571	0.392857	0.183333	0.266667	0.3	0.355556	0	0	0	0	0	0	0.087156	218	6	76	36.333333	0.904523	0	0	0	0	0	0	0	0	0	1	0	false	0	0.5	0	1	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
39c7cc08c26ff4f0eabac39ed15941f62acbc26a	35	py	Python	airesources/ML-StarterBot-Python/tsmlstarterbot/__init__.py	xinnosuke/Halite-II	99646c186bd6939460d451ef78d7af89fec6b1e1	[ "MIT" ]	232	2017-09-11T14:28:41.000Z	2022-01-19T10:26:07.000Z	airesources/ML-StarterBot-Python/tsmlstarterbot/__init__.py	xinnosuke/Halite-II	99646c186bd6939460d451ef78d7af89fec6b1e1	[ "MIT" ]	302	2017-09-13T04:46:25.000Z	2018-09-06T22:14:06.000Z	airesources/ML-StarterBot-Python/tsmlstarterbot/__init__.py	xinnosuke/Halite-II	99646c186bd6939460d451ef78d7af89fec6b1e1	[ "MIT" ]	151	2017-09-11T21:03:07.000Z	2020-11-28T04:58:55.000Z	from tsmlstarterbot.bot import Bot	17.5	34	0.857143	5	35	6	0.8	0	0	0	0	0	0	0	0	0	0	0.114286	35	1	35	35	0.967742	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
39eca4e5e6002f3be43814fdc46adb6ddc285c0b	116	py	Python	blog/views/api.py	zzlhr/django-blog	5f85116c1be7eeeb85291ab882e1284ca5abe724	[ "MIT" ]	2	2018-11-02T01:37:46.000Z	2019-04-20T02:35:28.000Z	blog/views/api.py	zzlhr/django-blog	5f85116c1be7eeeb85291ab882e1284ca5abe724	[ "MIT" ]	1	2018-11-02T05:19:50.000Z	2018-11-02T05:19:50.000Z	blog/views/api.py	zzlhr/django-blog	5f85116c1be7eeeb85291ab882e1284ca5abe724	[ "MIT" ]	null	null	null	from django.http import JsonResponse def index(request): return JsonResponse({"name": "lhr", "sex": "nan"})	14.5	54	0.672414	14	116	5.571429	0.928571	0	0	0	0	0	0	0	0	0	0	0.163793	116	7	55	16.571429	0.804124	0	0	0	0	0.114035	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
f2ccf256d84da42a5a1b65a78da94f658fb6ea3d	2,453	py	Python	crfill/util/gradient_norm.py	node21challenge/rank2_node21_generation	6c1708468b4ba48383c55bc8473ebcc5a83b8995	[ "Apache-2.0" ]	null	null	null	crfill/util/gradient_norm.py	node21challenge/rank2_node21_generation	6c1708468b4ba48383c55bc8473ebcc5a83b8995	[ "Apache-2.0" ]	null	null	null	crfill/util/gradient_norm.py	node21challenge/rank2_node21_generation	6c1708468b4ba48383c55bc8473ebcc5a83b8995	[ "Apache-2.0" ]	1	2022-02-11T12:42:21.000Z	2022-02-11T12:42:21.000Z	from __future__ import annotations import math import torch def weight_norm(parameters: Union[Iterable[torch.Tensor], torch.Tensor], norm_type: Optional[Union[float, int]] = 2) -> float: """Compute global norm of an iterable of parameters. The norm is computed over all tensors together, as if ...	40.213115	111	0.643294	344	2,453	4.462209	0.223837	0.087948	0.019544	0.052117	0.816938	0.788274	0.788274	0.754397	0.754397	0.754397	0.005006	0.26702	2,453	61	112	40.213115	0.848721	0.405218	0.575758	0	0	0	0	0	0	0	1	0.060606	false	0	0.090909	0	0.242424	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
842fcb4c0329d27ded6aaa565e0125e108d18c8c	45	py	Python	ipchange/moxa/__init__.py	cowanml/ipchange	622bdfb456de1b02a604ab71c5a6c66e5a840679	[ "BSD-3-Clause" ]	null	null	null	ipchange/moxa/__init__.py	cowanml/ipchange	622bdfb456de1b02a604ab71c5a6c66e5a840679	[ "BSD-3-Clause" ]	2	2020-10-08T16:53:27.000Z	2021-01-07T15:31:47.000Z	ipchange/moxa/__init__.py	cowanml/ipchange	622bdfb456de1b02a604ab71c5a6c66e5a840679	[ "BSD-3-Clause" ]	2	2021-01-05T14:29:17.000Z	2021-02-08T17:05:30.000Z	# flake8: noqa from .moxa import MoxaHTTP_2_2	22.5	30	0.8	8	45	4.25	0.875	0	0	0	0	0	0	0	0	0	0.076923	0.133333	45	2	30	22.5	0.794872	0.266667	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
8436993eff57bb66969ae7696ee4288195dad665	4,672	py	Python	PyBank/main.py	myanaga87/python-challenge	11575b534c4c3c9cc25225dd79bc9c8c81e7c9ff	[ "MIT" ]	null	null	null	PyBank/main.py	myanaga87/python-challenge	11575b534c4c3c9cc25225dd79bc9c8c81e7c9ff	[ "MIT" ]	null	null	null	PyBank/main.py	myanaga87/python-challenge	11575b534c4c3c9cc25225dd79bc9c8c81e7c9ff	[ "MIT" ]	null	null	null	#import module import os import csv csvpath = os.path.join("C:/", "Users", "Yanagam", "Desktop", "DataScience", "NUCHI201801DATA4-Class-Repository-DATA", "MWS", "Homework", "03-Python", "Instructions", "PyBank", "raw_data", "budget_data_1.csv") #set empty lists months = [] revenue = [] #read the csv with ...	33.855072	209	0.637414	557	4,672	5.321364	0.179533	0.054656	0.035088	0.051282	0.869096	0.869096	0.807692	0.765857	0.735493	0.735493	0.012534	0.214469	4,672	138	210	33.855072	0.795095	0.187928	0.631579	0	0	0.298955	0.062981	0	0	0	1	0	false	0	0.026316	0	0.026316	0.184211	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ffcba10ca518a9ce53b2c30788893e3abafbf97a	98	py	Python	ABC_A/ABC196_A.py	ryosuke0825/atcoder_python	185cdbe7db44ecca1aaf357858d16d31ce515ddb	[ "MIT" ]	null	null	null	ABC_A/ABC196_A.py	ryosuke0825/atcoder_python	185cdbe7db44ecca1aaf357858d16d31ce515ddb	[ "MIT" ]	null	null	null	ABC_A/ABC196_A.py	ryosuke0825/atcoder_python	185cdbe7db44ecca1aaf357858d16d31ce515ddb	[ "MIT" ]	null	null	null	a, b = map(int, input().split()) c, d = map(int, input().split()) print(max(a-c, a-d, b-c, b-d))	19.6	32	0.530612	22	98	2.363636	0.454545	0.230769	0.423077	0.615385	0	0	0	0	0	0	0	0.153061	98	4	33	24.5	0.626506	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0.333333	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
ffdfca759f766aa951263cb79117736cf943e00c	90	py	Python	src/main/anovos/__main__.py	ziedbouf/anovos	4cd149fe803f8cec7d49cf1d2ebff5abf6b362ce	[ "Apache-2.0" ]	60	2021-11-15T22:30:57.000Z	2022-03-31T08:13:27.000Z	src/main/anovos/__main__.py	ziedbouf/anovos	4cd149fe803f8cec7d49cf1d2ebff5abf6b362ce	[ "Apache-2.0" ]	62	2021-11-15T17:27:56.000Z	2022-03-28T20:12:56.000Z	src/main/anovos/__main__.py	ziedbouf/anovos	4cd149fe803f8cec7d49cf1d2ebff5abf6b362ce	[ "Apache-2.0" ]	15	2021-11-17T19:39:47.000Z	2022-03-30T18:20:33.000Z	import sys from .workflow import run run(config_path=sys.argv[1], run_type=sys.argv[2])	15	50	0.755556	17	90	3.882353	0.647059	0.212121	0	0	0	0	0	0	0	0	0.025	0.111111	90	5	51	18	0.8	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f23cb6958125b355748fe0a1905cb9bfc48bc7af	50	py	Python	msp430/bsl/target/__main__.py	pvrs12/python-msp430-tools	bd9b1d55b43f884368eaef9dc537330882058fd9	[ "BSD-3-Clause" ]	15	2017-10-18T01:56:40.000Z	2022-02-28T04:33:01.000Z	msp430/bsl/target/__main__.py	pvrs12/python-msp430-tools	bd9b1d55b43f884368eaef9dc537330882058fd9	[ "BSD-3-Clause" ]	3	2017-07-24T13:41:04.000Z	2019-11-08T19:13:54.000Z	msp430/bsl/target/__main__.py	pvrs12/python-msp430-tools	bd9b1d55b43f884368eaef9dc537330882058fd9	[ "BSD-3-Clause" ]	8	2017-10-11T14:05:29.000Z	2022-03-22T02:13:01.000Z	import msp430.bsl.target msp430.bsl.target.main()	16.666667	24	0.8	8	50	5	0.625	0.45	0.75	0	0	0	0	0	0	0	0.12766	0.06	50	2	25	25	0.723404	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
4bba45a4c64d5014576bd2e5dce5a74f95a31a3b	262	py	Python	backend/code/iep/grid/routing.py	socek/iep	793e35ca5304eef7b7dacb5dd8d486622f497759	[ "Apache-2.0" ]	null	null	null	backend/code/iep/grid/routing.py	socek/iep	793e35ca5304eef7b7dacb5dd8d486622f497759	[ "Apache-2.0" ]	null	null	null	backend/code/iep/grid/routing.py	socek/iep	793e35ca5304eef7b7dacb5dd8d486622f497759	[ "Apache-2.0" ]	null	null	null	def panel_times_routing(routing): routing.add("iep.grid.views.PanelTimesView", "panel_times", "/conventions/{convention_uid}/panel_times") routing.add("iep.grid.views.PanelTimeView", "panel_time", "/conventions/{convention_uid}/panel_times/{panel_uid}")	65.5	118	0.770992	33	262	5.848485	0.424242	0.207254	0.176166	0.176166	0.580311	0	0	0	0	0	0	0.061069	262	3	119	87.333333	0.784553	0	0	0	0	0.656489	0.576336	0	0	0	1	0.333333	false	0	0	0	0.333333	0	0	0	0	null	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	null	0	0	0	0	1	0	0	0	0	0	0	6
4bbc213e96db7d4448ba2a68ba04317ae706be10	55,862	py	Python	053_BlazePose/01_float32/02_pose_landmark_upper_body_tflite2h5_weight_int_fullint_float16_quant.py	komori556/PINTO_model_zoo	47652dfc0b066e9a835a3d7c3555c25cb4dd6004	[ "MIT" ]	1	2021-03-07T06:31:11.000Z	2021-03-07T06:31:11.000Z	053_BlazePose/01_float32/02_pose_landmark_upper_body_tflite2h5_weight_int_fullint_float16_quant.py	mejimaru/PINTO_model_zoo	0703bf1837d0d0e39f1d0dc9d523b6d8fa8145bd	[ "MIT" ]	null	null	null	053_BlazePose/01_float32/02_pose_landmark_upper_body_tflite2h5_weight_int_fullint_float16_quant.py	mejimaru/PINTO_model_zoo	0703bf1837d0d0e39f1d0dc9d523b6d8fa8145bd	[ "MIT" ]	null	null	null	### tensorflow==2.3.0 ### https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html ### https://google.github.io/mediapipe/solutions/pose ### https://www.tensorflow.org/api_docs/python/tf/keras/Model ### https://www.tensorflow.org/lite/guide/ops_compatibility ### https://www.tensorflow.org/api_do...	67.222623	127	0.70821	7,819	55,862	4.77107	0.070725	0.018228	0.109208	0.169253	0.781933	0.77893	0.773489	0.760193	0.747889	0.625975	0.098626	0.137661	55,862	830	128	67.303614	0.675787	0.037807	0.031797	0	0	0.188214	0.170033	0	0	0	1	0.00159	false	0	0.012719	0	0.014308	0.009539	0	0	0	null	0	0	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
29d9c7e131b115d2fbfad30e830ab74096c8f7e3	30	py	Python	models/__init__.py	Wangxy2180/Spike-FlowNet	1531c2422fcc9286b07dee11c7fd7995e6696800	[ "MIT" ]	53	2020-07-21T01:13:08.000Z	2022-02-22T08:55:41.000Z	models/__init__.py	Wangxy2180/Spike-FlowNet	1531c2422fcc9286b07dee11c7fd7995e6696800	[ "MIT" ]	7	2020-08-12T15:36:36.000Z	2022-02-22T21:21:34.000Z	models/__init__.py	Wangxy2180/Spike-FlowNet	1531c2422fcc9286b07dee11c7fd7995e6696800	[ "MIT" ]	16	2020-09-18T06:30:41.000Z	2022-02-15T18:07:18.000Z	from .FlowNetS_spike import *	15	29	0.8	4	30	5.75	1	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.884615	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
29e2c407cc9a0daed73d24bcadff9e6e8746a60d	108	py	Python	main.py	KooTQ/TitanicKaggle	09cb13547498a90d1607d851291a9edbfe91633c	[ "MIT" ]	null	null	null	main.py	KooTQ/TitanicKaggle	09cb13547498a90d1607d851291a9edbfe91633c	[ "MIT" ]	null	null	null	main.py	KooTQ/TitanicKaggle	09cb13547498a90d1607d851291a9edbfe91633c	[ "MIT" ]	null	null	null	def titanic_data_present(): print('Lets go!') if __name__ == '__main__': titanic_data_present()	12	27	0.666667	13	108	4.615385	0.769231	0.366667	0.6	0	0	0	0	0	0	0	0	0.194444	108	8	28	13.5	0.689655	0	0	0	0	0.150943	0	0	0	0	1	0.25	true	0	0	0	0.25	0.25	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	0	6
8a6890ab027c49e84e9f8f457fa80fcd79e8cf19	3,546	py	Python	custom_components/ble_monitor/test/test_xiaogui_parser.py	avidit/home-assistant-config	c4ea82e7ea75f93ebfb1700b39df5ff9787843b7	[ "MIT" ]	383	2019-11-25T17:13:04.000Z	2020-11-12T08:47:35.000Z	custom_components/ble_monitor/test/test_xiaogui_parser.py	scrambledleek/ha_hacs_ble_monitor	abafc7a34312e695667325dbe97c309f20dd1527	[ "MIT" ]	142	2019-11-25T21:29:27.000Z	2020-11-12T16:58:01.000Z	custom_components/ble_monitor/test/test_xiaogui_parser.py	scrambledleek/ha_hacs_ble_monitor	abafc7a34312e695667325dbe97c309f20dd1527	[ "MIT" ]	65	2019-11-26T11:53:44.000Z	2020-11-11T16:37:52.000Z	"""The tests for the Xiaogui ble_parser.""" from ble_monitor.ble_parser import BleParser class TestXiaogui: """Tests for the Xiaogui parser""" def test_xiaogui_tzc4_stab(self): """Test Xiaogui parser for Xiaogui TZC4 (stabilized weight).""" data_string = "043e1d0201030094e0e5295a5f1110ffc0a302...	41.717647	88	0.656514	399	3,546	5.619048	0.165414	0.172614	0.234166	0.067797	0.788136	0.746209	0.713649	0.710972	0.676182	0.676182	0.103372	0.230682	3,546	84	89	42.214286	0.718475	0.12493	0.639344	0	0	0.208211	0.083415	0	0	0.639344	1	0.065574	false	0	0.016393	0	0.098361	0	0	0	0	null	0	1	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	6
8aaede5b971cb26479ca586d8b03c6568449e36e	16	py	Python	webrepl_cfg.py	HaBaLeS/MqttPixel	26a6245a5ff787a3165b04d8bde89c39043de25d	[ "Beerware" ]	null	null	null	webrepl_cfg.py	HaBaLeS/MqttPixel	26a6245a5ff787a3165b04d8bde89c39043de25d	[ "Beerware" ]	null	null	null	webrepl_cfg.py	HaBaLeS/MqttPixel	26a6245a5ff787a3165b04d8bde89c39043de25d	[ "Beerware" ]	null	null	null	PASS = '1234'	5.333333	14	0.5	2	16	4	1	0	0	0	0	0	0	0	0	0	0.363636	0.3125	16	2	15	8	0.363636	0	0	0	0	0.285714	0	0	0	0	1	0	false	1	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	6
8ac67d99c7103d403eb5726c83136772892d56ad	34	py	Python	UponorJnap/__init__.py	asev/py-uponor-jnap	a3fbc842bcfc4833bb4eb13945f3088d9d470317	[ "MIT" ]	1	2020-11-26T16:12:16.000Z	2020-11-26T16:12:16.000Z	UponorJnap/__init__.py	asev/py-uponor-jnap	a3fbc842bcfc4833bb4eb13945f3088d9d470317	[ "MIT" ]	1	2021-09-17T17:50:15.000Z	2021-09-17T17:50:15.000Z	UponorJnap/__init__.py	asev/py-uponor-jnap	a3fbc842bcfc4833bb4eb13945f3088d9d470317	[ "MIT" ]	2	2020-12-12T20:21:54.000Z	2021-02-07T20:54:24.000Z	from .UponorJnap import UponorJnap	34	34	0.882353	4	34	7.5	0.75	0	0	0	0	0	0	0	0	0	0	0.088235	34	1	34	34	0.967742	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	null	0	0	0	0	0	1	0	1	0	1	0	6
76d8d833feb92392f5ccd140d930e2e075df0a8c	5,105	py	Python	oxyrhopus/datasets.py	bhoeckendorf/oxyrhopus	0abc383fd2b3fcbe38a797e28198696178a19f8e	[ "Apache-2.0" ]	null	null	null	oxyrhopus/datasets.py	bhoeckendorf/oxyrhopus	0abc383fd2b3fcbe38a797e28198696178a19f8e	[ "Apache-2.0" ]	null	null	null	oxyrhopus/datasets.py	bhoeckendorf/oxyrhopus	0abc383fd2b3fcbe38a797e28198696178a19f8e	[ "Apache-2.0" ]	null	null	null	import os from typing import Tuple, Optional from dataclasses import dataclass import torchvision import torchvision.transforms as transforms class CIFAR10: def __init__( self, name: str = "CIFAR-10", normalize_mean: Tuple[float,float,float] = (0.49139968, 0.48215841, 0.44...	38.969466	120	0.635651	595	5,105	5.315966	0.141176	0.060702	0.037939	0.050585	0.888713	0.885236	0.87828	0.865634	0.865634	0.865634	0.078247	0.248972	5,105	130	121	39.269231	0.74674	0	0.588785	0	0	0.053869	0.025269	0	0	0	1	0.037383	false	0	0.046729	0.009346	0.345794	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
76e8ea51a1dbbc617498f000fe93e0bd04dcb2ac	17,483	py	Python	oauth2_provider/tests/test_scopes.py	sfx/django-oauth-toolkit	08ce1d63bfad16905a7d9f758591c0e8c65706ec	[ "BSD-2-Clause-FreeBSD" ]	1	2016-10-17T15:52:39.000Z	2016-10-17T15:52:39.000Z	oauth2_provider/tests/test_scopes.py	sfx/django-oauth-toolkit	08ce1d63bfad16905a7d9f758591c0e8c65706ec	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	oauth2_provider/tests/test_scopes.py	sfx/django-oauth-toolkit	08ce1d63bfad16905a7d9f758591c0e8c65706ec	[ "BSD-2-Clause-FreeBSD" ]	1	2016-01-20T18:11:05.000Z	2016-01-20T18:11:05.000Z	from __future__ import unicode_literals import json from django.test import TestCase, RequestFactory from django.core.exceptions import ImproperlyConfigured from django.core.urlresolvers import reverse from .test_utils import TestCaseUtils from ..compat import urlparse, parse_qs, get_user_model, urlencode from ..mod...	38.089325	110	0.642224	1,880	17,483	5.755319	0.08883	0.058133	0.040758	0.031885	0.82098	0.80647	0.800277	0.789926	0.786784	0.760628	0.010466	0.245782	17,483	458	111	38.172489	0.810102	0.085054	0.685358	0	0	0.178979	0.022238	0	0	0.056075	1	0.068536	false	0.028037	0.031153	0.012461	0.146417	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
76ede8e9b9b3456ead3fc1339497c5a668428c20	1,266	py	Python	aetcd/__init__.py	mk-fg/aetcd	ad133dba914ed12e1c35ce4318de80b13626f4f6	[ "Apache-2.0" ]	2	2022-02-02T15:18:04.000Z	2022-03-16T06:39:26.000Z	aetcd/__init__.py	mk-fg/aetcd	ad133dba914ed12e1c35ce4318de80b13626f4f6	[ "Apache-2.0" ]	6	2022-01-12T05:29:15.000Z	2022-01-18T00:29:57.000Z	aetcd/__init__.py	mk-fg/aetcd	ad133dba914ed12e1c35ce4318de80b13626f4f6	[ "Apache-2.0" ]	2	2022-01-11T14:34:18.000Z	2022-01-28T15:53:20.000Z	from .client import Alarm # noqa: F401 from .client import Client # noqa: F401 from .client import Status # noqa: F401 from .client import Transactions # noqa: F401 from .exceptions import ClientError # noqa: F401 from .exceptions import ConnectionFailedError # noqa: F401 from .exceptions import ConnectionTimeout...	45.214286	61	0.765403	162	1,266	5.981481	0.222222	0.22291	0.321981	0.185759	0.604747	0	0	0	0	0	0.077143	0.170616	1,266	27	62	46.888889	0.845714	0.233807	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	null	0	0	0	0	0	1	0	1	0	1	0	6
0a0695db7309eb82a535c64861a8ef0618fc3eaf	166	py	Python	quark_core_api/context/__init__.py	arcticle/Quark	17aa5b5869a9e9c7a04c1a371fef5998f33dc319	[ "MIT" ]	null	null	null	quark_core_api/context/__init__.py	arcticle/Quark	17aa5b5869a9e9c7a04c1a371fef5998f33dc319	[ "MIT" ]	null	null	null	quark_core_api/context/__init__.py	arcticle/Quark	17aa5b5869a9e9c7a04c1a371fef5998f33dc319	[ "MIT" ]	null	null	null	from quark_core_api.context.core_context import CoreContext from quark_core_api.context.context_objects import ApplicationContext, WorkspaceContext, ExperimentContext	83	106	0.909639	20	166	7.25	0.55	0.124138	0.17931	0.22069	0.317241	0	0	0	0	0	0	0.054217	166	2	106	83	0.923567	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	null	0	0	0	0	0	1	0	1	0	1	0	6
0a6ec33364afbd7b43ebbd59066cc66c75b66ab2	5,885	py	Python	tests/test_e2e_ac.py	brennerm/uptimerobot-operator	25cdca5ec06e15d05ddd5ed4b13b20082fbb8889	[ "MIT" ]	47	2021-02-03T06:59:17.000Z	2022-03-30T03:44:43.000Z	tests/test_e2e_ac.py	brennerm/uptimerobot-operator	25cdca5ec06e15d05ddd5ed4b13b20082fbb8889	[ "MIT" ]	19	2021-02-02T23:26:56.000Z	2021-11-09T12:13:42.000Z	tests/test_e2e_ac.py	brennerm/uptimerobot-operator	25cdca5ec06e15d05ddd5ed4b13b20082fbb8889	[ "MIT" ]	2	2021-06-09T02:24:46.000Z	2021-08-15T06:45:20.000Z	import pytest import kubernetes.client as k8s_client import kubernetes.config as k8s_config import sys from .utils import namespace_handling, kopf_runner, NAMESPACE, DEFAULT_WAIT_TIME import os import time sys.path.insert(0, os.path.abspath(os.path.join( os.path.dirname(__file__), '../ur_operator'))) import ur_...	34.617647	101	0.673917	791	5,885	4.707965	0.115044	0.038668	0.059076	0.064447	0.802632	0.795381	0.755102	0.73174	0.723684	0.723684	0.015702	0.210025	5,885	169	102	34.822485	0.78533	0	0.617886	0	0	0.095497	0	0	0	0.276423	1	0.089431	false	0	0.081301	0	0.178862	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
6a646b7e3688fcf78e09d90b399a145cac2b7e13	14,471	py	Python	tests/unit/game_pkchess/controller/damage.py	RaenonX/Jelly-Bot-API	c7da1e91783dce3a2b71b955b3a22b68db9056cf	[ "MIT" ]	5	2020-08-26T20:12:00.000Z	2020-12-11T16:39:22.000Z	tests/unit/game_pkchess/controller/damage.py	RaenonX/Jelly-Bot	c7da1e91783dce3a2b71b955b3a22b68db9056cf	[ "MIT" ]	234	2019-12-14T03:45:19.000Z	2020-08-26T18:55:19.000Z	tests/unit/game_pkchess/controller/damage.py	RaenonX/Jelly-Bot-API	c7da1e91783dce3a2b71b955b3a22b68db9056cf	[ "MIT" ]	2	2019-10-23T15:21:15.000Z	2020-05-22T09:35:55.000Z	from game.pkchess.character import Character, CharacterTemplate from game.pkchess.controller import Damage, DamageCalculator from game.pkchess.exception import ( DamageFalseNegativeError, DamageFalsePositiveError, DamageTypeInvalidError, DamageValueNegativeError, SkillPowerNegativeError ) from game.pkchess.flag...	41.823699	116	0.617165	1,881	14,471	4.547049	0.062733	0.045598	0.041389	0.049106	0.888928	0.879574	0.833392	0.802058	0.763241	0.7443	0.069316	0.266257	14,471	345	117	41.944928	0.736203	0	0.641577	0	0	0.059291	0.014926	0	0	0.240143	1	0.064516	false	0	0.017921	0	0.096774	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
6aaef19251b14d55a35df97cb5761da962093167	377	py	Python	jesse/strategies/Test09/__init__.py	noenfugler/jesse	217a3168620a755c1a9576d9deb27105db7dccf8	[ "MIT" ]	3,999	2018-11-09T10:38:51.000Z	2022-03-31T12:29:12.000Z	jesse/strategies/Test09/__init__.py	noenfugler/jesse	217a3168620a755c1a9576d9deb27105db7dccf8	[ "MIT" ]	172	2020-04-16T16:19:08.000Z	2022-03-28T13:28:55.000Z	jesse/strategies/Test09/__init__.py	noenfugler/jesse	217a3168620a755c1a9576d9deb27105db7dccf8	[ "MIT" ]	495	2019-03-01T21:48:53.000Z	2022-03-30T15:35:19.000Z	from jesse.strategies import Strategy # test_stats_for_a_strategy_without_any_trades class Test09(Strategy): def should_long(self): return False def should_short(self): return False def go_long(self): pass def go_short(self): pass def should_cancel(self): ...	16.391304	46	0.644562	48	377	4.8125	0.520833	0.17316	0.194805	0.233766	0	0	0	0	0	0	0.007463	0.289125	377	22	47	17.136364	0.854478	0.116711	0.357143	0	0	0	0	0	0	0	1	0.428571	false	0.142857	0.071429	0.285714	0.857143	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	1	0	6
6ada15f31aaaec9a9459464ce7bda154511fee1b	11,540	py	Python	colour/appearance/tests/test_hke.py	rift-labs-developer/colour	15112dbe824aab0f21447e0db4a046a28a06f43a	[ "BSD-3-Clause" ]	1,380	2015-01-10T12:30:33.000Z	2022-03-30T10:19:57.000Z	colour/appearance/tests/test_hke.py	rift-labs-developer/colour	15112dbe824aab0f21447e0db4a046a28a06f43a	[ "BSD-3-Clause" ]	638	2015-01-02T10:49:05.000Z	2022-03-29T10:16:22.000Z	colour/appearance/tests/test_hke.py	rift-labs-developer/colour	15112dbe824aab0f21447e0db4a046a28a06f43a	[ "BSD-3-Clause" ]	250	2015-01-21T15:27:19.000Z	2022-03-30T10:23:58.000Z	# !/usr/bin/env python # -- coding: utf-8 -- """ Defines the unit tests for the :mod:`colour.appearance.hke` module. """ import numpy as np import unittest from itertools import permutations from colour.appearance.hke import ( HelmholtzKohlrausch_effect_object_Nayatani1997, HelmholtzKohlrausch_effect_lumino...	32.507042	79	0.625997	1,285	11,540	5.320623	0.101946	0.010531	0.041685	0.106918	0.826386	0.819804	0.789966	0.755887	0.702209	0.648238	0.118581	0.27435	11,540	354	80	32.59887	0.697874	0.1513	0.674312	0	0	0.04168	0.02084	0	0	0.119266	1	0.055046	false	0	0.022936	0	0.09633	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0a7ff0d295413f771fd632178656b07d5f5bdabf	35	py	Python	framework/avalanche/benchmarks/generators/__init__.py	Mattdl/RehearsalRevealed	f9cd2548f6c6d3ff119b40fecdb0df6fcd1525f6	[ "MIT" ]	12	2021-04-16T15:49:59.000Z	2022-02-27T18:04:58.000Z	framework/avalanche/benchmarks/generators/__init__.py	Mattdl/RehearsalRevealed	f9cd2548f6c6d3ff119b40fecdb0df6fcd1525f6	[ "MIT" ]	null	null	null	framework/avalanche/benchmarks/generators/__init__.py	Mattdl/RehearsalRevealed	f9cd2548f6c6d3ff119b40fecdb0df6fcd1525f6	[ "MIT" ]	2	2021-06-22T04:11:52.000Z	2021-11-12T03:27:18.000Z	from .scenario_generators import *	17.5	34	0.828571	4	35	7	1	0	0	0	0	0	0	0	0	0	0	0.114286	35	1	35	35	0.903226	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	null	0	0	0	0	0	1	0	1	0	1	0	6
0aad40c7017a7691e592697f7d68a1e8a4a32f56	26,981	py	Python	network/base_networks.py	aioz-ai/LDR_ALDK	717f365e5d8ed36e4801ae66277c64501c48224b	[ "MIT" ]	7	2021-04-18T16:11:28.000Z	2022-03-07T10:19:51.000Z	network/base_networks.py	aioz-ai/LDR_ALDK	717f365e5d8ed36e4801ae66277c64501c48224b	[ "MIT" ]	null	null	null	network/base_networks.py	aioz-ai/LDR_ALDK	717f365e5d8ed36e4801ae66277c64501c48224b	[ "MIT" ]	1	2022-03-31T15:54:27.000Z	2022-03-31T15:54:27.000Z	""" Based networks for predicting displacements Modified from https://github.com/microsoft/Recursive-Cascaded-Networks/blob/master/network/base_networks.py """ import tensorflow as tf import tflearn from tensorflow.python.keras.layers.convolutional import UpSampling3D from tflearn.initializations import normal fro...	41.766254	93	0.515474	3,641	26,981	3.713815	0.075254	0.007839	0.006656	0.0071	0.835305	0.820958	0.80321	0.772223	0.768747	0.748188	0.105748	0.327416	26,981	645	94	41.831008	0.639389	0.087951	0.694949	0	0	0.048831	0	0	0	0	1	0.054545	false	0	0.010101	0.012121	0.119192	0.00404	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0ab3ef8e45dd8d9b73c8b2434a6938a03df6b23b	17,438	py	Python	tests/components/homekit/test_type_lights.py	tbarbette/core	8e58c3aa7bc8d2c2b09b6bd329daa1c092d52d3c	[ "Apache-2.0" ]	1	2017-05-30T22:21:05.000Z	2017-05-30T22:21:05.000Z	tests/components/homekit/test_type_lights.py	tbarbette/core	8e58c3aa7bc8d2c2b09b6bd329daa1c092d52d3c	[ "Apache-2.0" ]	58	2020-08-03T07:33:02.000Z	2022-03-31T06:02:05.000Z	tests/components/homekit/test_type_lights.py	tbarbette/core	8e58c3aa7bc8d2c2b09b6bd329daa1c092d52d3c	[ "Apache-2.0" ]	1	2021-08-16T02:53:15.000Z	2021-08-16T02:53:15.000Z	"""Test different accessory types: Lights.""" from pyhap.const import HAP_REPR_AID, HAP_REPR_CHARS, HAP_REPR_IID, HAP_REPR_VALUE from homeassistant.components.homekit.const import ATTR_VALUE from homeassistant.components.homekit.type_lights import Light from homeassistant.components.light import ( ATTR_BRIGHTNESS...	32.964083	88	0.64801	2,420	17,438	4.315289	0.070661	0.053624	0.058987	0.076415	0.87743	0.853778	0.84085	0.815379	0.802739	0.772671	0.023589	0.256107	17,438	528	89	33.026515	0.781452	0.042379	0.578824	0	0	0.044206	0.001349	0	0	0.207059	1	0	false	0	0.018824	0	0.018824	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0af5aa25aff9efb52be6a8079359b554f7f1bf07	1,012	py	Python	tests/models/FNN_test.py	PandasCute/DeepCTR	bd5dc215e1c21bf12e6b5297d10f293c45e16c77	[ "MIT" ]	2	2019-08-09T16:57:57.000Z	2019-08-10T02:21:17.000Z	tests/models/FNN_test.py	Gearchen/DeepCTR	bd5dc215e1c21bf12e6b5297d10f293c45e16c77	[ "MIT" ]	null	null	null	tests/models/FNN_test.py	Gearchen/DeepCTR	bd5dc215e1c21bf12e6b5297d10f293c45e16c77	[ "MIT" ]	1	2019-08-09T16:33:27.000Z	2019-08-09T16:33:27.000Z	import pytest from deepctr.models import FNN from ..utils import check_model, get_test_data @pytest.mark.parametrize( 'sparse_feature_num,dense_feature_num', [(1, 1), (3, 3) ] ) def test_FNN(sparse_feature_num, dense_feature_num): model_name = "FNN" sample_size = 64 x, y, feature_dim_dict =...	24.682927	80	0.698617	154	1,012	4.155844	0.266234	0.1875	0.15	0.196875	0.771875	0.771875	0.771875	0.771875	0.771875	0.609375	0.031592	0.186759	1,012	40	81	25.3	0.746051	0	0.482759	0	0	0.08498	0.071146	0	0	0	1	0.068966	false	0	0.103448	0	0.172414	0	0	0	0	null	0	0	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7c3dfa87c7dbc621788e11355742e5e74e166890	9,443	py	Python	tests/contracts/KT19VKNKqKDDunvwi4y2r6ugDhCcdhT2zG3c/test_michelson_coding_KT19VK.py	juztin/pytezos-1	7e608ff599d934bdcf129e47db43dbdb8fef9027	[ "MIT" ]	1	2021-05-20T16:52:08.000Z	2021-05-20T16:52:08.000Z	tests/contracts/KT19VKNKqKDDunvwi4y2r6ugDhCcdhT2zG3c/test_michelson_coding_KT19VK.py	juztin/pytezos-1	7e608ff599d934bdcf129e47db43dbdb8fef9027	[ "MIT" ]	1	2020-12-30T16:44:56.000Z	2020-12-30T16:44:56.000Z	tests/contracts/KT19VKNKqKDDunvwi4y2r6ugDhCcdhT2zG3c/test_michelson_coding_KT19VK.py	tqtezos/pytezos	a4ac0b022d35d4c9f3062609d8ce09d584b5faa8	[ "MIT" ]	1	2022-03-20T19:01:00.000Z	2022-03-20T19:01:00.000Z	from unittest import TestCase from tests import get_data from pytezos.michelson.micheline import michelson_to_micheline from pytezos.michelson.formatter import micheline_to_michelson class MichelsonCodingTestKT19VK(TestCase): def setUp(self): self.maxDiff = None def test_michelson_parse_code_KT...	46.9801	90	0.733983	880	9,443	7.563636	0.05	0.048377	0.074369	0.135216	0.963341	0.963341	0.963341	0.963341	0.947416	0.947416	0.053038	0.191359	9,443	200	91	47.215	0.818622	0	0.639053	0	0	0.316531	0.316531	0	0	0.159763	1	0.16568	false	0	0.023669	0	0.195266	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7c5ea02bea814d4da7c693ea4e65455ed295e22d	76	py	Python	bilgecode/apps/passage_planner/tests/__init__.py	BilgeCode/bilgecode.com	cbec5f60841d479d0b3b170936d0eb8aec2541da	[ "MIT" ]	null	null	null	bilgecode/apps/passage_planner/tests/__init__.py	BilgeCode/bilgecode.com	cbec5f60841d479d0b3b170936d0eb8aec2541da	[ "MIT" ]	null	null	null	bilgecode/apps/passage_planner/tests/__init__.py	BilgeCode/bilgecode.com	cbec5f60841d479d0b3b170936d0eb8aec2541da	[ "MIT" ]	null	null	null	from test_print import PrintTestCase from test_200s import PageResponseTests	38	39	0.907895	10	76	6.7	0.7	0.238806	0	0	0	0	0	0	0	0	0.043478	0.092105	76	2	39	38	0.927536	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0.5	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	1	6
7ca05197fe3e5baae5ddc7cd51dd118582eaf33b	2,615	py	Python	users-backend/users/internal_api/tests/queries/test_search_users.py	pauloxnet/pycon	82b6eff76dcc785865ea3ffd97a45e931c0add26	[ "MIT" ]	2	2017-07-18T21:51:25.000Z	2017-12-23T11:08:39.000Z	users-backend/users/internal_api/tests/queries/test_search_users.py	pauloxnet/pycon	82b6eff76dcc785865ea3ffd97a45e931c0add26	[ "MIT" ]	23	2017-07-18T20:22:38.000Z	2018-01-05T05:45:15.000Z	users-backend/users/internal_api/tests/queries/test_search_users.py	pauloxnet/pycon	82b6eff76dcc785865ea3ffd97a45e931c0add26	[ "MIT" ]	2	2017-07-18T21:27:33.000Z	2017-07-18T22:07:03.000Z	from ward import test from users.tests.api import internalapi_graphql_client from users.tests.factories import user_factory from users.tests.session import db @test("search users") async def _( internalapi_graphql_client=internalapi_graphql_client, db=db, user_factory=user_factory, ): internalapi_gra...	30.764706	85	0.681836	318	2,615	5.418239	0.191824	0.102147	0.16715	0.109692	0.806152	0.774811	0.774811	0.774811	0.774811	0.774811	0.006121	0.187763	2,615	84	86	31.130952	0.805085	0	0.637681	0	0	0.258509	0	0	0	0.115942	1	0	false	0	0.057971	0	0.057971	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7ca36e374db567493a96c125e29fcd1e7c4f6824	817	py	Python	Fourier Transform/ftpack/correlation.py	evgenyzhurko/DSP	9a129da102ce0407ead77096abaa081462686f12	[ "MIT" ]	null	null	null	Fourier Transform/ftpack/correlation.py	evgenyzhurko/DSP	9a129da102ce0407ead77096abaa081462686f12	[ "MIT" ]	null	null	null	Fourier Transform/ftpack/correlation.py	evgenyzhurko/DSP	9a129da102ce0407ead77096abaa081462686f12	[ "MIT" ]	null	null	null	from fft import fft, ifft import numpy as np def conv(y, z, n): result = np.zeros(n) for i in range(n): k = i for j in range(n): result[i] += y[j] * z[k] k -= 1 result[i] /= n return result def corr(y, z, n): result = np.zeros(n) for i in range(n)...	17.382979	68	0.493268	148	817	2.655405	0.182432	0.030534	0.091603	0.071247	0.849873	0.849873	0.849873	0.849873	0.849873	0.70229	0.003817	0.358629	817	46	69	17.76087	0.746183	0	0.533333	0	0	0	0	0	0	0	1	0.133333	false	0	0.066667	0	0.333333	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7cc83026fb969df03c3196710884a01d08986de7	64	py	Python	src/startServer.py	ChrisChV/Binance-Manager	840e83e5e5586022ed2b9a181342d32e1e973ab7	[ "MIT" ]	null	null	null	src/startServer.py	ChrisChV/Binance-Manager	840e83e5e5586022ed2b9a181342d32e1e973ab7	[ "MIT" ]	null	null	null	src/startServer.py	ChrisChV/Binance-Manager	840e83e5e5586022ed2b9a181342d32e1e973ab7	[ "MIT" ]	null	null	null	import server.bm_server as bm_server bm_server.initServer()	9.142857	36	0.796875	10	64	4.8	0.5	0.5	0.583333	0	0	0	0	0	0	0	0	0.140625	64	6	37	10.666667	0.872727	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
7cea4eaf81854678c42103c0ef875d122b8088d5	22,915	py	Python	attacks/pgd_attack.py	wutong16/Adversarial_Long-Tail	ab2f3a792aede2bd2a3e57657c787ec542165be1	[ "FSFAP" ]	78	2021-04-05T15:58:03.000Z	2022-03-30T02:42:42.000Z	attacks/pgd_attack.py	wutong16/Adversarial_Long-Tail	ab2f3a792aede2bd2a3e57657c787ec542165be1	[ "FSFAP" ]	1	2022-03-08T04:11:02.000Z	2022-03-18T04:11:17.000Z	attacks/pgd_attack.py	wutong16/Adversarial_Long-Tail	ab2f3a792aede2bd2a3e57657c787ec542165be1	[ "FSFAP" ]	9	2021-04-13T09:51:51.000Z	2022-03-09T02:45:20.000Z	from __future__ import print_function from tqdm import tqdm import numpy as np from torch.autograd import Variable import torch.optim as optim from sklearn.metrics import recall_score from models.backbones.resnet import * from utils.data_utils import save_csv, CountMeter from sklearn.metrics import classification_repor...	39.372852	132	0.579577	2,979	22,915	4.24572	0.085935	0.019924	0.030361	0.012334	0.816967	0.78716	0.746047	0.726755	0.690544	0.683903	0.012606	0.279948	22,915	581	133	39.44062	0.753939	0.039974	0.714286	0	0.008658	0.0551	0	0	0	0	1	0.017316	false	0.002165	0.02381	0	0.062771	0.034632	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7cf65431b69b056e5179c10b7de515ca7e2c62a3	245	py	Python	tests/test_postprocessors/test_plugins.py	kanderso-nrel/pytest-notebook	40381be0963a8866d1a46994595844bbfb4e66c1	[ "BSD-3-Clause" ]	37	2019-08-10T20:09:38.000Z	2022-03-01T22:17:59.000Z	tests/test_postprocessors/test_plugins.py	kanderso-nrel/pytest-notebook	40381be0963a8866d1a46994595844bbfb4e66c1	[ "BSD-3-Clause" ]	15	2019-12-09T14:34:14.000Z	2022-01-18T13:32:50.000Z	tests/test_postprocessors/test_plugins.py	kanderso-nrel/pytest-notebook	40381be0963a8866d1a46994595844bbfb4e66c1	[ "BSD-3-Clause" ]	7	2020-04-14T10:57:15.000Z	2022-02-10T09:18:30.000Z	from pytest_notebook.post_processors import document_processors def test_documentation(file_regression): """Test all the plugins are loading, by generating combined documentation.""" file_regression.check(document_processors() + "\n")	35	81	0.795918	29	245	6.482759	0.758621	0.191489	0.287234	0	0	0	0	0	0	0	0	0.118367	245	6	82	40.833333	0.87037	0.289796	0	0	0	0.011905	0	0	0	0	1	0.333333	false	0	0.333333	0	0.666667	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	1	0	6
6b491988f4573f40ec70d957e47975bfda5a91dc	41	py	Python	samples/src/main/resources/datasets/python/132.py	sritchie/kotlingrad	8165ed1cd77220a5347c58cded4c6f2bcf22ee30	[ "Apache-2.0" ]	11	2020-12-19T01:19:44.000Z	2021-12-25T20:43:33.000Z	src/main/resources/datasets/python/132.py	breandan/katholic	081c39f3acc73ff41f5865563debe78a36e1038f	[ "Apache-2.0" ]	null	null	null	src/main/resources/datasets/python/132.py	breandan/katholic	081c39f3acc73ff41f5865563debe78a36e1038f	[ "Apache-2.0" ]	2	2021-01-25T07:59:20.000Z	2021-08-07T07:13:49.000Z	def unaryOp6(a, b): return ~a and -b	13.666667	20	0.585366	8	41	3	0.75	0	0	0	0	0	0	0	0	0	0.033333	0.268293	41	2	21	20.5	0.766667	0	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
8656d92688d7f81e3845d9dd6345010db10ceede	47,944	py	Python	augur/metrics/issue/routes.py	computationalmystic/sengfs19-group8	ef0c2c052aef5b936eba4eb83aeff36d6bf81db5	[ "MIT" ]	3	2019-10-31T19:07:48.000Z	2019-11-20T23:14:15.000Z	augur/metrics/issue/routes.py	computationalmystic/sengfs19-group8	ef0c2c052aef5b936eba4eb83aeff36d6bf81db5	[ "MIT" ]	null	null	null	augur/metrics/issue/routes.py	computationalmystic/sengfs19-group8	ef0c2c052aef5b936eba4eb83aeff36d6bf81db5	[ "MIT" ]	null	null	null	from flask import Response def create_issue_routes(server): metrics = server._augur.metrics """ @api {get} /repo-groups/:repo_group_id/repos/:repo_id/issues_top_ten_number_of_assignees Issues New (Repo Group) @apiName issues-top-ten-number-of-assignees @apiGroup Evolution @apiDescription Coun...	48.47725	156	0.502461	4,695	47,944	5.015761	0.078807	0.032103	0.033632	0.02446	0.890441	0.866661	0.819525	0.806786	0.780585	0.766869	0.092898	0.385033	47,944	988	157	48.526316	0.705807	0	0.340426	0	0	0.216541	0.111278	0	0	0	1	0.021277	false	0	0.021277	0	0.042553	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
866f1900cd52c78a6a905ce527c504438bfefb0e	36	py	Python	lang/py/rfc/08/Graphics/Primitive/fill.py	ch1huizong/learning	632267634a9fd84a5f5116de09ff1e2681a6cc85	[ "MIT" ]	null	null	null	lang/py/rfc/08/Graphics/Primitive/fill.py	ch1huizong/learning	632267634a9fd84a5f5116de09ff1e2681a6cc85	[ "MIT" ]	null	null	null	lang/py/rfc/08/Graphics/Primitive/fill.py	ch1huizong/learning	632267634a9fd84a5f5116de09ff1e2681a6cc85	[ "MIT" ]	null	null	null	def draw(): print('Fill draw')	9	22	0.555556	5	36	4	0.8	0	0	0	0	0	0	0	0	0	0	0.25	36	3	23	12	0.740741	0	0	0	0	0.257143	0	0	0	0	1	0.5	true	0	0	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	null	0	0	0	0	1	1	0	0	0	0	1	6
86d948b91fad29005cc6563a7e4f9a43bbbd3efc	36,804	py	Python	tests/v2/test_0118-numba-cpointers.py	douglasdavis/awkward-1.0	f00775803a5568efb0a8e2dae3b1a4f23228fa40	[ "BSD-3-Clause" ]	null	null	null	tests/v2/test_0118-numba-cpointers.py	douglasdavis/awkward-1.0	f00775803a5568efb0a8e2dae3b1a4f23228fa40	[ "BSD-3-Clause" ]	null	null	null	tests/v2/test_0118-numba-cpointers.py	douglasdavis/awkward-1.0	f00775803a5568efb0a8e2dae3b1a4f23228fa40	[ "BSD-3-Clause" ]	null	null	null	# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE import sys import operator import pytest # noqa: F401 import numpy as np # noqa: F401 import awkward as ak # noqa: F401 numba = pytest.importorskip("numba") ak_numba_arrayview = pytest.importorskip("awkward._v2._connect.numba...	26.120653	88	0.505326	5,587	36,804	3.219617	0.041883	0.03936	0.103513	0.15527	0.840727	0.793084	0.766177	0.726373	0.701968	0.654492	0.098611	0.301516	36,804	1,408	89	26.139205	0.60112	0.007526	0.559353	0	0	0.019059	0.000986	0	0	0.178058	1	0.123201	false	0	0.006295	0.076439	0.220324	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
8111d6fc3141fbccfa787685b995048a1b649a5b	224	py	Python	venv/lib/python3.6/site-packages/imutils/face_utils/__init__.py	Seifar/ChitAnalysis	0580802c78b11766ba21e3929b8fa96f8f6a17f0	[ "MIT" ]	5	2017-11-15T10:33:42.000Z	2021-11-16T02:21:31.000Z	venv/lib/python3.6/site-packages/imutils/face_utils/__init__.py	Seifar/ChitAnalysis	0580802c78b11766ba21e3929b8fa96f8f6a17f0	[ "MIT" ]	13	2020-01-28T22:20:14.000Z	2022-03-11T23:20:14.000Z	venv/lib/python3.6/site-packages/imutils/face_utils/__init__.py	Seifar/ChitAnalysis	0580802c78b11766ba21e3929b8fa96f8f6a17f0	[ "MIT" ]	6	2017-11-30T00:34:20.000Z	2021-05-20T02:58:02.000Z	# import the necessary packages from .helpers import FACIAL_LANDMARKS_IDXS from .helpers import rect_to_bb from .helpers import shape_to_np from .helpers import visualize_facial_landmarks from .facealigner import FaceAligner	37.333333	47	0.866071	32	224	5.8125	0.5	0.236559	0.365591	0	0	0	0	0	0	0	0	0.107143	224	6	48	37.333333	0.93	0.129464	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
d4be6382ef486ae9fbcc3263e3233876122d70a7	151	py	Python	microsim/risk_model_repository.py	jburke5/microsim	4a484b9fe4fd0a4faf05150238fd79be4d8827f6	[ "MIT" ]	null	null	null	microsim/risk_model_repository.py	jburke5/microsim	4a484b9fe4fd0a4faf05150238fd79be4d8827f6	[ "MIT" ]	2	2021-05-17T21:19:09.000Z	2021-06-02T20:20:13.000Z	microsim/risk_model_repository.py	jburke5/microsim	4a484b9fe4fd0a4faf05150238fd79be4d8827f6	[ "MIT" ]	1	2020-05-18T02:12:58.000Z	2020-05-18T02:12:58.000Z	class RiskModelRepository: def __init__(self): self._repository = {} def get_model(self, name): return self._repository[name]	21.571429	37	0.655629	16	151	5.75	0.625	0.304348	0	0	0	0	0	0	0	0	0	0.245033	151	6	38	25.166667	0.807018	0	0	0	0	0	0	0	0	0	1	0.4	false	0	0	0.2	0.8	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
d4c2444a1328f386f063242d74bdd95a98f73f88	3,207	py	Python	lemur/tests/test_destinations.py	bunjiboys/lemur	b5fd8020055d8af07bd6f82f4dd38246dca8d0c5	[ "Apache-2.0" ]	null	null	null	lemur/tests/test_destinations.py	bunjiboys/lemur	b5fd8020055d8af07bd6f82f4dd38246dca8d0c5	[ "Apache-2.0" ]	2	2020-04-03T09:28:20.000Z	2020-04-04T04:56:35.000Z	lemur/tests/test_destinations.py	scriptsrc/lemur	914de78576baf66d8f4c0365d8cedb27c6f70663	[ "Apache-2.0" ]	null	null	null	import pytest from lemur.destinations.views import * # noqa from .vectors import VALID_ADMIN_HEADER_TOKEN, VALID_USER_HEADER_TOKEN def test_destination_input_schema(client, destination_plugin, destination): from lemur.destinations.schemas import DestinationInputSchema input_data = { 'label': 'des...	30.254717	114	0.714687	396	3,207	5.502525	0.146465	0.136301	0.073428	0.096374	0.800826	0.783846	0.783846	0.783846	0.783846	0.728316	0.031775	0.146243	3,207	105	115	30.542857	0.764061	0.001247	0.531646	0	0	0.059044	0	0	0	0.126582	1	0.126582	false	0	0.050633	0	0.177215	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
d4f7c84aadfb497f6816378c9d09b431d603b388	147	py	Python	puzzle/main.py	bozzzzo/bedlam-solver	148fc43f818818831c27a9e736ab0107bdbe595d	[ "Apache-2.0" ]	null	null	null	puzzle/main.py	bozzzzo/bedlam-solver	148fc43f818818831c27a9e736ab0107bdbe595d	[ "Apache-2.0" ]	null	null	null	puzzle/main.py	bozzzzo/bedlam-solver	148fc43f818818831c27a9e736ab0107bdbe595d	[ "Apache-2.0" ]	null	null	null	import box from ipdb import launch_ipdb_on_exception def main(): with launch_ipdb_on_exception(): b = box.Box() box.find(b)	14.7	41	0.659864	22	147	4.136364	0.545455	0.21978	0.263736	0.461538	0	0	0	0	0	0	0	0.251701	147	9	42	16.333333	0.827273	0	0	0	0	0	0	0	0	0	1	0.166667	false	0	0.333333	0	0.5	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
be00baa4788f4faddbdbbcbbe3de0a18cba4a17b	2,019	py	Python	ec2_compare/internal/instance_type/g3s.py	weldpua2008/aws.ec2.compare	5149fc4c7cb42f4d7df1930ed8a06750155fe578	[ "Apache-2.0" ]	null	null	null	ec2_compare/internal/instance_type/g3s.py	weldpua2008/aws.ec2.compare	5149fc4c7cb42f4d7df1930ed8a06750155fe578	[ "Apache-2.0" ]	null	null	null	ec2_compare/internal/instance_type/g3s.py	weldpua2008/aws.ec2.compare	5149fc4c7cb42f4d7df1930ed8a06750155fe578	[ "Apache-2.0" ]	1	2021-12-15T11:58:22.000Z	2021-12-15T11:58:22.000Z	# Automatically generated # pylint: disable=all get = [{'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.7, 'DefaultVCpus': 4, 'DefaultCores': 2, 'DefaultThreadsPerCore': 2, 'ValidCores': [1, 2], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 31232, 'EbsOptimizedSupport': 'default', 'EncryptionSupport...	168.25	1,828	0.71471	169	2,019	8.514793	0.508876	0.005559	0.022238	0.070883	0.500347	0.500347	0.426685	0.426685	0.426685	0.426685	0.045777	0.091134	2,019	11	1,829	183.545455	0.73842	0.063398	0	1	0	0.64168	0.225412	0	0	0	1	0.333333	false	0	0	0	0.666667	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	1	1	0	null	0	0	0	0	1	0	0	0	0	1	0	6
be0cc2abdf74c73e6851ec47b274cb5fd1624a8c	38,357	py	Python	pyscf/symm/test/test_geom.py	januseriksen/pyscf	d40f5b728b6e26766343388b2240ef023b71766d	[ "Apache-2.0" ]	1	2021-01-07T15:26:49.000Z	2021-01-07T15:26:49.000Z	pyscf/symm/test/test_geom.py	ghb24/pyscf	5cd81a47fb67cdf81ad2837a1a857effd48c472f	[ "Apache-2.0" ]	null	null	null	pyscf/symm/test/test_geom.py	ghb24/pyscf	5cd81a47fb67cdf81ad2837a1a857effd48c472f	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/env python # Copyright 2014-2020 The PySCF Developers. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # U...	38.980691	92	0.4863	5,350	38,357	3.41514	0.066168	0.021017	0.014778	0.05911	0.815062	0.791582	0.772372	0.741612	0.716326	0.696842	0.097906	0.315379	38,357	983	93	39.020346	0.597867	0.016868	0.568925	0	0	0.025337	0	0	0	0.204439	1	0.077103	false	0	0.008178	0.001168	0.100467	0.001168	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
be22c5715e59d9f5dd514b4c19a398197efc9641	74	py	Python	cyphercat/datadefs/__init__.py	arafin-lab/model_inversion_experiments	8e491f22ae847d8d0f2f31caed6ad0078c9b6a49	[ "Apache-2.0" ]	101	2018-10-26T14:39:19.000Z	2022-03-28T11:38:45.000Z	cyphercat/datadefs/__init__.py	zhampel/cyphercat	4029ae8683b9056013e6424d8931afe79afa618e	[ "Apache-2.0" ]	32	2018-10-10T23:02:04.000Z	2019-11-11T21:30:57.000Z	cyphercat/datadefs/__init__.py	zhampel/cyphercat	4029ae8683b9056013e6424d8931afe79afa618e	[ "Apache-2.0" ]	49	2018-10-05T17:54:49.000Z	2022-02-10T07:47:25.000Z	from .cyphercat_dataset import CCATDataset from .voices_dataset import *	18.5	42	0.837838	9	74	6.666667	0.666667	0.433333	0	0	0	0	0	0	0	0	0	0.121622	74	3	43	24.666667	0.923077	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	null	0	0	0	0	0	1	0	1	0	1	0	6
07b20eac0a9d7ee9730f45b0eb7f2ccb49f89b5f	198	py	Python	crm/admin.py	S0Imyr/projet12	d71151fa9f960ff5e5b95074bacbde83d2d219c9	[ "MIT" ]	1	2021-09-03T10:37:06.000Z	2021-09-03T10:37:06.000Z	crm/admin.py	S0Imyr/projet12	d71151fa9f960ff5e5b95074bacbde83d2d219c9	[ "MIT" ]	null	null	null	crm/admin.py	S0Imyr/projet12	d71151fa9f960ff5e5b95074bacbde83d2d219c9	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Client, Contract, Event, Status admin.site.register(Client) admin.site.register(Contract) admin.site.register(Event) admin.site.register(Status)	28.285714	51	0.818182	28	198	5.785714	0.428571	0.222222	0.419753	0	0	0	0	0	0	0	0	0.075758	198	7	52	28.285714	0.885246	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
07b5fe65c72d174245951119fd6e9e01266e209a	31	py	Python	noaa/__init__.py	exTerEX/noaa	d17364b7c500129e97ee4943e2bad9baf492df32	[ "MIT" ]	null	null	null	noaa/__init__.py	exTerEX/noaa	d17364b7c500129e97ee4943e2bad9baf492df32	[ "MIT" ]	6	2022-02-07T16:09:42.000Z	2022-03-21T19:56:44.000Z	noaa/__init__.py	exTerEX/noaa	d17364b7c500129e97ee4943e2bad9baf492df32	[ "MIT" ]	null	null	null	import noaa.climate as climate	15.5	30	0.83871	5	31	5.2	0.8	0	0	0	0	0	0	0	0	0	0	0.129032	31	1	31	31	0.962963	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	null	0	0	0	0	0	1	0	1	0	1	0	6
07c44ebbd1936a2609f524c563bc2ae806683ed9	22	py	Python	spatial_autocorrelation/__init__.py	yatshunlee/spatial_autocorrelation	88fec61637fe0da18e3e12390ab63e34b3cebb78	[ "MIT" ]	null	null	null	spatial_autocorrelation/__init__.py	yatshunlee/spatial_autocorrelation	88fec61637fe0da18e3e12390ab63e34b3cebb78	[ "MIT" ]	1	2021-11-26T06:47:43.000Z	2021-11-26T06:47:43.000Z	spatial_autocorrelation/__init__.py	yatshunlee/spatial_autocorrelation	88fec61637fe0da18e3e12390ab63e34b3cebb78	[ "MIT" ]	null	null	null	from .moransI import *	22	22	0.772727	3	22	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.136364	22	1	22	22	0.894737	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	null	0	0	0	0	0	1	0	1	0	1	0	6
07c51a4af2b5c56bee579e2dd8e797e730b87dcb	26	py	Python	illuminate/__init__.py	sci-microscopy/illuminate_controller	58e209691f60e0fdb1f04f8654f58bb27eaa72f6	[ "BSD-3-Clause" ]	2	2021-05-06T15:56:57.000Z	2021-05-19T01:56:29.000Z	illuminate/__init__.py	sci-microscopy/illuminate_controller	58e209691f60e0fdb1f04f8654f58bb27eaa72f6	[ "BSD-3-Clause" ]	1	2019-07-16T16:09:45.000Z	2019-07-16T16:09:45.000Z	illuminate/__init__.py	zfphil/illuminate_controller	58e209691f60e0fdb1f04f8654f58bb27eaa72f6	[ "BSD-3-Clause" ]	null	null	null	from .illuminate import *	13	25	0.769231	3	26	6.666667	1	0	0	0	0	0	0	0	0	0	0	0.153846	26	1	26	26	0.909091	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
07e162f6fff6f1c27307b26f57cc47c9efdba639	22	py	Python	__init__.py	toni-heittola/pelican-bdates	9b8ce3c8e02bb5e46b624597cd9b4dc49d3de946	[ "MIT" ]	null	null	null	__init__.py	toni-heittola/pelican-bdates	9b8ce3c8e02bb5e46b624597cd9b4dc49d3de946	[ "MIT" ]	null	null	null	__init__.py	toni-heittola/pelican-bdates	9b8ce3c8e02bb5e46b624597cd9b4dc49d3de946	[ "MIT" ]	null	null	null	from .bdates import *	11	21	0.727273	3	22	5.333333	1	0	0	0	0	0	0	0	0	0	0	0.181818	22	1	22	22	0.888889	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
580237a1a39f240571350f964044c6755bdf5198	120	py	Python	flask-skeleton/views/second_bp/second.py	x1ah/python-snippets	a7b9e10401bd9007d259bd418c0639a3607254e0	[ "MIT" ]	null	null	null	flask-skeleton/views/second_bp/second.py	x1ah/python-snippets	a7b9e10401bd9007d259bd418c0639a3607254e0	[ "MIT" ]	null	null	null	flask-skeleton/views/second_bp/second.py	x1ah/python-snippets	a7b9e10401bd9007d259bd418c0639a3607254e0	[ "MIT" ]	null	null	null	# coding: utf-8 from flask_skeleton.views import second_bp @second_bp.route('/test') def test_s(): return 'test'	13.333333	42	0.708333	19	120	4.263158	0.789474	0.197531	0	0	0	0	0	0	0	0	0.009901	0.158333	120	8	43	15	0.792079	0.108333	0	0	0	0.085714	0	0	0	0	1	0.25	true	0	0.25	0.25	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	null	0	0	0	0	1	1	0	0	1	1	0	6
5806442cfbe53423fba65e091345627971617fb5	42	py	Python	je_auto_control/utils/image/__init__.py	JE-Chen/Python_JEAutoControl	477bf9612e28e9ab6d0a8e269db2f699e50a3744	[ "MIT" ]	9	2020-10-12T06:33:36.000Z	2021-09-13T07:07:36.000Z	je_auto_control/utils/image/__init__.py	JE-Chen/Python_JEAutoControl	477bf9612e28e9ab6d0a8e269db2f699e50a3744	[ "MIT" ]	null	null	null	je_auto_control/utils/image/__init__.py	JE-Chen/Python_JEAutoControl	477bf9612e28e9ab6d0a8e269db2f699e50a3744	[ "MIT" ]	null	null	null	from je_auto_control.utils.image import *	21	41	0.833333	7	42	4.714286	1	0	0	0	0	0	0	0	0	0	0	0.095238	42	1	42	42	0.868421	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	null	0	0	0	0	0	1	0	1	0	1	0	6
58069f82f08936b5107b85617db38c980b5ddcee	241,840	py	Python	breathe/parser/compoundsuper.py	arwedus/breathe	26844b77d805a93bd0df3e14a289d23adcf8ab19	[ "BSD-3-Clause" ]	null	null	null	breathe/parser/compoundsuper.py	arwedus/breathe	26844b77d805a93bd0df3e14a289d23adcf8ab19	[ "BSD-3-Clause" ]	1	2020-12-14T11:49:22.000Z	2020-12-14T14:14:12.000Z	breathe/parser/compoundsuper.py	arwedus/breathe	26844b77d805a93bd0df3e14a289d23adcf8ab19	[ "BSD-3-Clause" ]	null	null	null	# # Generated Thu Jun 11 18:44:25 2009 by generateDS.py. # import sys import getopt from xml.dom import minidom from xml.dom import Node # # User methods # # Calls to the methods in these classes are generated by generateDS.py. # You can replace these methods by re-implementing the following class # in a module nam...	41.00373	668	0.618467	25,252	241,840	5.689926	0.018098	0.03411	0.025236	0.038975	0.762469	0.718998	0.701173	0.673209	0.637519	0.631819	0.002552	0.270737	241,840	5,897	669	41.010683	0.812134	0.012281	0.712623	1	0	0.036512	0.000536	0	0	0	1	0.229006	false	0.01128	0.001253	0.047449	0.349508	0.000179	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	0	0	0	1	1	0	0	null	0	0	0	0	1	0	0	0	0	0	0	6
ed10f5bcd678411d0a79924195ba1e017c109d31	5,502	py	Python	prodev-api/studioapp/urls.py	g90tony/pro-dev-project	fae815c21a43a23edfed8e016f044f814b7e67a6	[ "MIT" ]	null	null	null	prodev-api/studioapp/urls.py	g90tony/pro-dev-project	fae815c21a43a23edfed8e016f044f814b7e67a6	[ "MIT" ]	1	2021-06-24T17:41:57.000Z	2021-06-24T17:41:57.000Z	prodev-api/studioapp/urls.py	g90tony/pro-dev-project	fae815c21a43a23edfed8e016f044f814b7e67a6	[ "MIT" ]	null	null	null	from django.urls import path from . import views from django.conf import settings from django.conf.urls.static import static urlpatterns = [ #path('hello/', views.HelloView.as_view(), name='hello'), path('api/manyusers/', views.ManyCreativeUsers.as_view(), name='manyusers'), path('api/singleusers/', views...	53.417476	107	0.70847	718	5,502	5.32312	0.115599	0.084772	0.065411	0.068027	0.863422	0.856358	0.835688	0.835688	0.835688	0.835688	0.012903	0.09851	5,502	102	108	53.941176	0.757661	0.125954	0	0	0	0.335702	0.228052	0	0	0	1	0	false	0	0.065574	0	0.065574	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ed116ea448b24818c5f7c1d5b0f0b7efc1ea9742	43	py	Python	waterbutler/providers/weko/__init__.py	KakeruMizuno/RDM-waterbutler	58ecd801385a7572d1ed56568a31f701291c4e3e	[ "Apache-2.0" ]	null	null	null	waterbutler/providers/weko/__init__.py	KakeruMizuno/RDM-waterbutler	58ecd801385a7572d1ed56568a31f701291c4e3e	[ "Apache-2.0" ]	9	2018-04-13T04:57:46.000Z	2019-08-20T13:58:02.000Z	waterbutler/providers/weko/__init__.py	KakeruMizuno/RDM-waterbutler	58ecd801385a7572d1ed56568a31f701291c4e3e	[ "Apache-2.0" ]	6	2018-09-29T13:49:26.000Z	2022-01-27T04:35:12.000Z	from .provider import WEKOProvider # noqa	21.5	42	0.790698	5	43	6.8	1	0	0	0	0	0	0	0	0	0	0	0.162791	43	1	43	43	0.944444	0.093023	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ed12e487ceb798d9200e94e28b6303d365cd20f3	195	py	Python	tonic/explorations/__init__.py	Eyalcohenx/tonic	afc15c6fa23fed4f696f68f0acf961964b0172dc	[ "MIT" ]	350	2020-08-06T13:49:11.000Z	2022-03-24T08:53:59.000Z	tonic/explorations/__init__.py	Eyalcohenx/tonic	afc15c6fa23fed4f696f68f0acf961964b0172dc	[ "MIT" ]	12	2020-08-07T02:21:58.000Z	2021-05-20T11:50:44.000Z	tonic/explorations/__init__.py	Eyalcohenx/tonic	afc15c6fa23fed4f696f68f0acf961964b0172dc	[ "MIT" ]	35	2020-08-06T16:53:40.000Z	2021-12-17T06:01:09.000Z	from .noisy import NoActionNoise from .noisy import NormalActionNoise from .noisy import OrnsteinUhlenbeckActionNoise __all__ = [NoActionNoise, NormalActionNoise, OrnsteinUhlenbeckActionNoise]	27.857143	74	0.861538	16	195	10.25	0.4375	0.164634	0.27439	0	0	0	0	0	0	0	0	0.097436	195	6	75	32.5	0.931818	0	0	0	0	0	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	1	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
ed4689be0c01d21787cfa3eab459a50edb5c6817	168	py	Python	benchmarking/benchmark_01_timeit.py	h-mayorquin/attractor_sequences	885271f30d73a58a7aad83b55949e4e32ba0b45a	[ "MIT" ]	1	2016-08-19T18:58:51.000Z	2016-08-19T18:58:51.000Z	benchmarking/benchmark_01_timeit.py	h-mayorquin/attractor_sequences	885271f30d73a58a7aad83b55949e4e32ba0b45a	[ "MIT" ]	null	null	null	benchmarking/benchmark_01_timeit.py	h-mayorquin/attractor_sequences	885271f30d73a58a7aad83b55949e4e32ba0b45a	[ "MIT" ]	null	null	null	import pprint import timeit result = timeit.repeat('benchmark_running()', setup='from benchmark_01 import benchmark_running', number=1, repeat=1) pprint.pprint(result)	33.6	117	0.803571	23	168	5.73913	0.521739	0.242424	0	0	0	0	0	0	0	0	0.025974	0.083333	168	5	118	33.6	0.831169	0	0	0	0	0.360947	0	0	0	0	1	0	false	0	0.75	0	0.75	0.5	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	1	6
ed61af285c57fd7f82281d2d17b30870101420b1	5,756	py	Python	scripts/commit_validation/commit_validation/tests/validators/test_copyright_header_validator.py	aaarsene/o3de	37e3b0226958974defd14dd6d808e8557dcd7345	[ "Apache-2.0", "MIT" ]	1	2021-09-13T00:01:12.000Z	2021-09-13T00:01:12.000Z	scripts/commit_validation/commit_validation/tests/validators/test_copyright_header_validator.py	aaarsene/o3de	37e3b0226958974defd14dd6d808e8557dcd7345	[ "Apache-2.0", "MIT" ]	null	null	null	scripts/commit_validation/commit_validation/tests/validators/test_copyright_header_validator.py	aaarsene/o3de	37e3b0226958974defd14dd6d808e8557dcd7345	[ "Apache-2.0", "MIT" ]	1	2021-07-20T11:07:25.000Z	2021-07-20T11:07:25.000Z	# # Copyright (c) Contributors to the Open 3D Engine Project. For complete copyright and license terms please see the LICENSE at the root of this distribution. # # SPDX-License-Identifier: Apache-2.0 OR MIT# # import unittest from unittest.mock import patch, mock_open from commit_validation.tests.mocks.mock_commit im...	55.346154	228	0.6713	669	5,756	5.650224	0.177877	0.083333	0.068783	0.066138	0.76164	0.753439	0.742328	0.720106	0.720106	0.707937	0.006904	0.219944	5,756	103	229	55.883495	0.834967	0.034399	0.5375	0	0.0375	0.339459	0.035676	0	0	0.25	1	0.125	false	0.1125	0.05	0	0.1875	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	6
ed71084b2fc2a2381b606e2562eaa740bff9f061	187	py	Python	src/sage/rings/finite_rings/constructor.py	fredstro/sage	c936d2cda81ec7ec3552a3bdb29c994b40d1bb24	[ "BSL-1.0" ]	null	null	null	src/sage/rings/finite_rings/constructor.py	fredstro/sage	c936d2cda81ec7ec3552a3bdb29c994b40d1bb24	[ "BSL-1.0" ]	null	null	null	src/sage/rings/finite_rings/constructor.py	fredstro/sage	c936d2cda81ec7ec3552a3bdb29c994b40d1bb24	[ "BSL-1.0" ]	null	null	null	from sage.misc.superseded import deprecation deprecation(19941,"This module has been renamed to sage.rings.finite_rings.finite_field_constructor") from finite_field_constructor import *	37.4	101	0.855615	26	187	5.961538	0.653846	0.141935	0.283871	0	0	0	0	0	0	0	0.02924	0.085562	187	4	102	46.75	0.877193	0	0	0	0	0.427807	0.256684	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
71f51b2121bba21479fcfd7ba691bd55a3729e60	27	py	Python	flTile/test/printRank.py	rpwagner/tiled-display	52d135bc163360fe55ce5521784b0ef48a8c82c9	[ "Apache-2.0" ]	1	2020-12-11T17:11:45.000Z	2020-12-11T17:11:45.000Z	flTile/test/printRank.py	rpwagner/tiled-display	52d135bc163360fe55ce5521784b0ef48a8c82c9	[ "Apache-2.0" ]	null	null	null	flTile/test/printRank.py	rpwagner/tiled-display	52d135bc163360fe55ce5521784b0ef48a8c82c9	[ "Apache-2.0" ]	null	null	null	import mpi print mpi.rank	6.75	14	0.777778	5	27	4.2	0.8	0	0	0	0	0	0	0	0	0	0	0.185185	27	3	15	9	0.954545	0	0	0	0	0	0	0	0	0	0	null	null	0	0.5	null	null	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	0	0	1	6
9c697d099b31d53468ae6e5a604cd05b1f15f7e9	53	py	Python	tests/test_adls_feedexporter_storage.py	hanbei/scrapy-feedexporter-azure	66046b76c87ee98f9477fe75063e7cf5763d6ff3	[ "Apache-2.0" ]	null	null	null	tests/test_adls_feedexporter_storage.py	hanbei/scrapy-feedexporter-azure	66046b76c87ee98f9477fe75063e7cf5763d6ff3	[ "Apache-2.0" ]	null	null	null	tests/test_adls_feedexporter_storage.py	hanbei/scrapy-feedexporter-azure	66046b76c87ee98f9477fe75063e7cf5763d6ff3	[ "Apache-2.0" ]	2	2021-10-07T07:18:28.000Z	2021-10-13T12:07:46.000Z	import pytest def test_answer(): assert 3 == 3	8.833333	18	0.641509	8	53	4.125	0.875	0	0	0	0	0	0	0	0	0	0.051282	0.264151	53	5	19	10.6	0.794872	0	0	0	0	0	0	0	0	0.333333	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6

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