Split (1)

train · 253k rows

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a79dae93de9448cb5c94bee5b70aee0c41bab4e1	262	py	Python	exo2/test.py	dgc-digitallab/interview-tests	e601b54acfb155cda6bc9c9a0718f63102cb0685	[ "MIT" ]	null	null	null	exo2/test.py	dgc-digitallab/interview-tests	e601b54acfb155cda6bc9c9a0718f63102cb0685	[ "MIT" ]	null	null	null	exo2/test.py	dgc-digitallab/interview-tests	e601b54acfb155cda6bc9c9a0718f63102cb0685	[ "MIT" ]	null	null	null	# coding: utf-8 """ This module contains unit tests for the methods in utils file. """ from sublist_split import sublist_split import pytest def test_sublist_split_error_raised(): with pytest.raises(ValueError): sublist_split([], 14, 12) # TODO	16.375	62	0.725191	37	262	4.945946	0.783784	0.262295	0.196721	0	0	0	0	0	0	0	0.023364	0.183206	262	16	63	16.375	0.831776	0.312977	0	0	0	0	0	0	0	0	0.0625	0	1	0.2	true	0	0.4	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	0	0	0	null	0	1	0	0	0	1	0	1	0	1	0	6
a7a8fa63c8a90e8798851038ad1654e096791a7d	106	py	Python	my_timesaver_utils/all.py	butchtm/my_timesaver_utils	eb1b84c89ce61c2f079e306e196f1945aa3b084d	[ "Apache-2.0" ]	5	2020-10-19T23:35:26.000Z	2021-03-25T15:19:40.000Z	my_timesaver_utils/all.py	butchtm/my_timesaver_utils	eb1b84c89ce61c2f079e306e196f1945aa3b084d	[ "Apache-2.0" ]	2	2021-09-28T05:02:23.000Z	2022-02-26T09:33:55.000Z	my_timesaver_utils/all.py	butchtm/my_timesaver_utils	eb1b84c89ce61c2f079e306e196f1945aa3b084d	[ "Apache-2.0" ]	null	null	null	from .profiling import * from .profiling_callback import * from .enhanced_imageclassifiercleaner import *	26.5	46	0.830189	11	106	7.818182	0.545455	0.302326	0	0	0	0	0	0	0	0	0	0.113208	106	3	47	35.333333	0.914894	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a7ca4dc6ccf81a1def10fc95523ec85d25ba8e20	89	py	Python	src/calculator/square.py	premaseem/premaseem-pyutils	d45aefe324989bf55260937400d6c0ea04a0941a	[ "Apache-2.0", "MIT" ]	null	null	null	src/calculator/square.py	premaseem/premaseem-pyutils	d45aefe324989bf55260937400d6c0ea04a0941a	[ "Apache-2.0", "MIT" ]	null	null	null	src/calculator/square.py	premaseem/premaseem-pyutils	d45aefe324989bf55260937400d6c0ea04a0941a	[ "Apache-2.0", "MIT" ]	null	null	null	def get_square(number): return number * number # print(f"squae if {get_square(4)}")	17.8	36	0.685393	14	89	4.214286	0.714286	0.305085	0	0	0	0	0	0	0	0	0.013514	0.168539	89	5	36	17.8	0.783784	0.382022	0	0	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
ac0039e7f291dd826f5aaa699ae45a0be1bc1fbd	65	py	Python	predictivepunter/test/__init__.py	JayTeeGeezy/predictivepunter	ee262c4323d6779b851639b802f3e57af151e2c5	[ "MIT" ]	1	2017-02-08T11:05:43.000Z	2017-02-08T11:05:43.000Z	predictivepunter/test/__init__.py	JayTeeGeezy/predictivepunter	ee262c4323d6779b851639b802f3e57af151e2c5	[ "MIT" ]	28	2016-04-03T01:25:08.000Z	2019-01-06T16:55:55.000Z	predictivepunter/test/__init__.py	JayTeeGeezy/predictivepunter	ee262c4323d6779b851639b802f3e57af151e2c5	[ "MIT" ]	2	2020-01-13T14:34:13.000Z	2020-04-20T15:45:46.000Z	from .scrape import * from .seed import * from .predict import *	16.25	22	0.723077	9	65	5.222222	0.555556	0.425532	0	0	0	0	0	0	0	0	0	0.184615	65	3	23	21.666667	0.886792	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ac1e79fe7cdefdfc067f808eb0edf23ed1782f01	21	py	Python	example/__init__.py	park-python/project-temlate	bbbbc0a451ff5bebc0acd077ace2a3c1fd74e408	[ "MIT" ]	2	2016-09-20T15:25:09.000Z	2016-09-20T16:27:33.000Z	example/__init__.py	park-python/project-temlate	bbbbc0a451ff5bebc0acd077ace2a3c1fd74e408	[ "MIT" ]	null	null	null	example/__init__.py	park-python/project-temlate	bbbbc0a451ff5bebc0acd077ace2a3c1fd74e408	[ "MIT" ]	1	2017-11-13T16:13:00.000Z	2017-11-13T16:13:00.000Z	from core import run	10.5	20	0.809524	4	21	4.25	1	0	0	0	0	0	0	0	0	0	0	0.190476	21	1	21	21	1	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ac824beb13500d25fa23dd55c002cca348e450eb	1,997	py	Python	test_neighbors_lament.py	nodog/neighbors_lament	73f8c13aeee7dc36bce070e9e9636f9180d9af7c	[ "MIT" ]	null	null	null	test_neighbors_lament.py	nodog/neighbors_lament	73f8c13aeee7dc36bce070e9e9636f9180d9af7c	[ "MIT" ]	null	null	null	test_neighbors_lament.py	nodog/neighbors_lament	73f8c13aeee7dc36bce070e9e9636f9180d9af7c	[ "MIT" ]	null	null	null	import neighbors_lament import pytest # take an integer as input, and output the largest integer below that uses the same digits. # example: input 53442, output is 53424 # 34278 -> 32874 def test_valid_neighbor_too_small(): assert(neighbors_lament.lesser_neighbor(9)) == None def test_valid_neighbor_for_small_num...	46.44186	96	0.761142	317	1,997	4.44164	0.201893	0.245028	0.328125	0.287642	0.777699	0.585938	0.397727	0.37642	0.37642	0.37642	0.085907	0.108162	1,997	42	97	47.547619	0.70466	0.071107	0	0.064516	0	0	0	0	0	0	0	0.709677	1	0.225806	true	0	0.064516	0	0.290323	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	1	0	0	0	0	0	6
3baf08fe4b8bcf11971f8fa884c1f371454079b2	107	py	Python	app/tasks/__init__.py	kirimemail/spam-classifier	47f23b869c5bfe463b17fe2559c66f5256b079bc	[ "MIT" ]	4	2018-08-14T02:06:15.000Z	2020-09-18T10:53:19.000Z	app/tasks/__init__.py	kirimemail/spam-classifier	47f23b869c5bfe463b17fe2559c66f5256b079bc	[ "MIT" ]	null	null	null	app/tasks/__init__.py	kirimemail/spam-classifier	47f23b869c5bfe463b17fe2559c66f5256b079bc	[ "MIT" ]	null	null	null	from .multiply import multiply from .train import train_model from .detect_language import detect_language	26.75	44	0.859813	15	107	5.933333	0.466667	0.314607	0	0	0	0	0	0	0	0	0	0.11215	107	3	45	35.666667	0.936842	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ce17a06a70cb6a0be314b4d5388e1e6a780c8681	149	py	Python	cristal.py	lauralardies/agregacionycomposicion	c842f004b9becf906f0a65244b107cb329607b61	[ "Apache-2.0" ]	null	null	null	cristal.py	lauralardies/agregacionycomposicion	c842f004b9becf906f0a65244b107cb329607b61	[ "Apache-2.0" ]	null	null	null	cristal.py	lauralardies/agregacionycomposicion	c842f004b9becf906f0a65244b107cb329607b61	[ "Apache-2.0" ]	null	null	null	class Cristal: def __init__(self, superficie): self.__superficie = superficie def superficie(self): return self.__superficie	24.833333	38	0.684564	15	149	6.266667	0.466667	0.446809	0	0	0	0	0	0	0	0	0	0.241611	149	6	39	24.833333	0.831858	0	0	0	0	0	0	0	0	0	0	0	1	0.4	false	0	0	0.2	0.8	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
ce3495841f6535d83fe805711cb1ff8a362bb782	4,457	py	Python	src/ctc/rpc/rpc_executors_async/rpc_log_executors_async.py	fei-protocol/checkthechain	ec838f3d0d44af228f45394d9ba8d8eb7f677520	[ "MIT" ]	94	2022-02-15T19:34:49.000Z	2022-03-26T19:26:22.000Z	src/ctc/rpc/rpc_executors_async/rpc_log_executors_async.py	fei-protocol/checkthechain	ec838f3d0d44af228f45394d9ba8d8eb7f677520	[ "MIT" ]	7	2022-03-03T02:58:47.000Z	2022-03-11T18:41:05.000Z	src/ctc/rpc/rpc_executors_async/rpc_log_executors_async.py	fei-protocol/checkthechain	ec838f3d0d44af228f45394d9ba8d8eb7f677520	[ "MIT" ]	7	2022-02-15T17:53:07.000Z	2022-03-17T19:14:17.000Z	from __future__ import annotations import typing from ctc import spec from .. import rpc_constructors from .. import rpc_digestors from .. import rpc_request async def async_eth_new_filter( address: spec.Address \| None = None, topics: typing.Sequence[spec.BinaryData] \| None = None, start_block: spec.Bl...	33.014815	77	0.737492	515	4,457	6.023301	0.099029	0.094778	0.099291	0.036106	0.921341	0.896518	0.872985	0.872985	0.872985	0.870406	0	0.189589	4,457	134	78	33.261194	0.858804	0	0	0.626087	0	0	0	0	0	0	0	0	1	0	false	0	0.052174	0	0.113043	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0200d6d550038aedc4ad0dcaa7a66e021299d345	2,647	py	Python	treasuryapp/filters.py	JBthePenguin/GereTonAsso	283410f09d51ff48861aa6b6bf1d7985fba8f2f7	[ "MIT" ]	null	null	null	treasuryapp/filters.py	JBthePenguin/GereTonAsso	283410f09d51ff48861aa6b6bf1d7985fba8f2f7	[ "MIT" ]	null	null	null	treasuryapp/filters.py	JBthePenguin/GereTonAsso	283410f09d51ff48861aa6b6bf1d7985fba8f2f7	[ "MIT" ]	null	null	null	from django import forms import django_filters from treasuryapp.models import Transaction, MoneyDeposit, MoneyWithdrawal from memberapp.models import Member class TransactionFilter(django_filters.FilterSet): """Subclass of django_filters.FilterSet """ wording = django_filters.CharFilter( lookup_expr='...	36.763889	73	0.693615	303	2,647	5.844884	0.194719	0.101637	0.066064	0.09825	0.780915	0.780915	0.780915	0.780915	0.689441	0.689441	0	0.185115	2,647	71	74	37.28169	0.821048	0.042312	0	0.622642	0	0	0.116759	0	0	0	0	0	1	0.113208	false	0	0.075472	0.113208	0.584906	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	1	0	6
027f76083c8573735a4d3852580080c8d48115b5	296	py	Python	pqcli/ui/curses/views/base_view.py	tree-s/pq-cli	f5d0ed69a99c490a63f854442fba2b443e59a134	[ "MIT" ]	94	2018-11-17T22:40:16.000Z	2022-03-28T05:09:16.000Z	pqcli/ui/curses/views/base_view.py	tree-s/pq-cli	f5d0ed69a99c490a63f854442fba2b443e59a134	[ "MIT" ]	17	2019-04-10T18:06:46.000Z	2022-03-03T03:25:08.000Z	pqcli/ui/curses/views/base_view.py	tree-s/pq-cli	f5d0ed69a99c490a63f854442fba2b443e59a134	[ "MIT" ]	14	2019-04-10T21:33:14.000Z	2022-02-16T14:42:56.000Z	import typing as T class BaseView: def __init__(self, screen: T.Any) -> None: self.screen = screen def start(self) -> None: pass def stop(self) -> None: pass def idle(self) -> None: pass def keypress(self, key: int) -> None: pass	15.578947	46	0.540541	38	296	4.105263	0.5	0.205128	0.230769	0.288462	0	0	0	0	0	0	0	0.347973	296	18	47	16.444444	0.80829	0	0	0.333333	0	0	0	0	0	0	0	0	1	0.416667	false	0.333333	0.083333	0	0.583333	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	0	6
028af21ce09ae8656dcd516467fa3c692142da55	32	py	Python	python/apollo/model/__init__.py	gengoai/mono-repo	50e95c16579aaa8a4ee0776582964868b5625415	[ "Apache-2.0" ]	1	2021-03-15T12:12:38.000Z	2021-03-15T12:12:38.000Z	python/apollo/model/__init__.py	gengoai/mono-repo	50e95c16579aaa8a4ee0776582964868b5625415	[ "Apache-2.0" ]	5	2021-03-31T17:54:38.000Z	2022-02-10T02:40:07.000Z	python/apollo/model/__init__.py	gengoai/gengoai	50e95c16579aaa8a4ee0776582964868b5625415	[ "Apache-2.0" ]	null	null	null	from apollo.model.base import *	16	31	0.78125	5	32	5	1	0	0	0	0	0	0	0	0	0	0	0.125	32	1	32	32	0.892857	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5a0a13001cbe45c059ff8ca4ad4d71e253bb22bd	114	py	Python	Access01/views.py	Seagulls-ynu/Accessor	b6243601379ec1f8e77eccfbab127fddc30a3753	[ "MIT" ]	1	2021-01-24T16:37:40.000Z	2021-01-24T16:37:40.000Z	Access01/views.py	Seagulls-ynu/Accessor	b6243601379ec1f8e77eccfbab127fddc30a3753	[ "MIT" ]	null	null	null	Access01/views.py	Seagulls-ynu/Accessor	b6243601379ec1f8e77eccfbab127fddc30a3753	[ "MIT" ]	2	2021-01-24T16:35:39.000Z	2021-01-24T17:34:50.000Z	from django.shortcuts import render def login(request): return render(request, 'pages/index.html', locals())	19	53	0.745614	15	114	5.666667	0.866667	0	0	0	0	0	0	0	0	0	0	0.131579	114	6	53	19	0.858586	0	0	0	0	0	0.13913	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
5a1253e150fa4e75b012ad070e64bcdd219c1e67	29	py	Python	examples/python_bindings/__init__.py	ONLYA/RoboGrammar	4b9725739b24dc9df4049866c177db788b1e458f	[ "MIT" ]	156	2020-10-02T14:33:22.000Z	2022-03-17T22:30:30.000Z	examples/python_bindings/__init__.py	ONLYA/RoboGrammar	4b9725739b24dc9df4049866c177db788b1e458f	[ "MIT" ]	10	2020-12-14T01:24:03.000Z	2022-02-16T10:01:16.000Z	examples/python_bindings/__init__.py	ONLYA/RoboGrammar	4b9725739b24dc9df4049866c177db788b1e458f	[ "MIT" ]	43	2020-10-02T00:01:17.000Z	2022-03-06T17:02:38.000Z	from .pyrobotdesign import *	14.5	28	0.793103	3	29	7.666667	1	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.92	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5a15c69dbdccba3667f8784c44d402f0b9ab9ac4	201	py	Python	impl/recommender/vector/idf/__init__.py	dustywind/bachelor-thesis	be06aaeb1b4d73f727a19029a3416a9b8043194d	[ "MIT" ]	null	null	null	impl/recommender/vector/idf/__init__.py	dustywind/bachelor-thesis	be06aaeb1b4d73f727a19029a3416a9b8043194d	[ "MIT" ]	null	null	null	impl/recommender/vector/idf/__init__.py	dustywind/bachelor-thesis	be06aaeb1b4d73f727a19029a3416a9b8043194d	[ "MIT" ]	null	null	null	"""Inverse document frequency """ from .inversedocumentfrequencyvector import InverseDocumentFrequencyVector from .inversedocumentfrequencyvectorcreator import InverseDocumentFrequencyVectorCreator	25.125	88	0.885572	11	201	16.181818	0.636364	0	0	0	0	0	0	0	0	0	0	0.074627	201	7	89	28.714286	0.956989	0.129353	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5a6db45ee8e884cecebe0700553adc0d544a1107	78	py	Python	maker/__init__.py	amirgeva/termed_plugins	bdd918752a89468955c888e777c88045cddefe1c	[ "BSD-3-Clause" ]	null	null	null	maker/__init__.py	amirgeva/termed_plugins	bdd918752a89468955c888e777c88045cddefe1c	[ "BSD-3-Clause" ]	13	2021-07-03T09:31:33.000Z	2021-08-07T18:16:51.000Z	maker/__init__.py	amirgeva/termed_plugins	bdd918752a89468955c888e777c88045cddefe1c	[ "BSD-3-Clause" ]	null	null	null	from .maker_plugin import MakerPlugin def create(): return MakerPlugin()	15.6	37	0.75641	9	78	6.444444	0.888889	0	0	0	0	0	0	0	0	0	0	0.166667	78	4	38	19.5	0.892308	0	0	0	0	0	0	0	0	0	0	0	1	0.333333	true	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	1	0	0	6
ce7e0012c92ddaa461201b884eb4614c789af17a	10,526	py	Python	src/main/start.py	Terrathaw/ba21_loma_2_py	eebf5104dd054cef1ab61f0b257933ff679e75ec	[ "MIT" ]	null	null	null	src/main/start.py	Terrathaw/ba21_loma_2_py	eebf5104dd054cef1ab61f0b257933ff679e75ec	[ "MIT" ]	null	null	null	src/main/start.py	Terrathaw/ba21_loma_2_py	eebf5104dd054cef1ab61f0b257933ff679e75ec	[ "MIT" ]	null	null	null	import dsp.source as source from controller import Controller from main.common.enums import WindowType from main.dsp.phase import * from main.dsp.resample import * from main.dsp.transform import * """"Different phase shifters with configurations. Can process multiple configs successively.""" configs = { # Based on...	89.965812	221	0.778358	1,263	10,526	6.378464	0.141726	0.054618	0.106504	0.125869	0.863083	0.832547	0.771971	0.75931	0.700968	0.53215	0.014693	0.101273	10,526	116	222	90.741379	0.836892	0.812559	0	0.193548	0	0	0.020556	0	0	0	0	0	1	0.064516	false	0	0.193548	0	0.258065	0.032258	0	0	0	null	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ce8017e49ba4d0b7eae63aab007fd6b74eb78a94	25	py	Python	src/slizzy/mp3co/__init__.py	matheushsouza/slizzy	f224b8e4621d11031315da9178202781b4a2dcef	[ "BSD-3-Clause" ]	1	2019-12-24T03:08:12.000Z	2019-12-24T03:08:12.000Z	src/slizzy/mp3co/__init__.py	matheushsouza/slizzy	f224b8e4621d11031315da9178202781b4a2dcef	[ "BSD-3-Clause" ]	null	null	null	src/slizzy/mp3co/__init__.py	matheushsouza/slizzy	f224b8e4621d11031315da9178202781b4a2dcef	[ "BSD-3-Clause" ]	null	null	null	from .mp3co import mp3co	12.5	24	0.8	4	25	5	0.75	0	0	0	0	0	0	0	0	0	0.095238	0.16	25	1	25	25	0.857143	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ce86b05aa5abb73aec2be81b9ddbb3b47c6faec0	747	py	Python	terra_notebook_utils/cli/main.py	xbrianh/terra-notebook-utils	d26d0abdf3d563299f8878ced950260575e0df1e	[ "MIT" ]	9	2020-03-05T01:23:22.000Z	2022-02-07T02:23:08.000Z	terra_notebook_utils/cli/main.py	xbrianh/terra-notebook-utils	d26d0abdf3d563299f8878ced950260575e0df1e	[ "MIT" ]	131	2020-04-08T19:06:45.000Z	2022-03-11T01:33:10.000Z	terra_notebook_utils/cli/main.py	xbrianh/terra-notebook-utils	d26d0abdf3d563299f8878ced950260575e0df1e	[ "MIT" ]	2	2021-04-30T03:32:48.000Z	2021-09-22T17:39:20.000Z	"""This is the main CLI entry point.""" import sys # Only the commands modules imported here are available to the CLI # These must be imported before dispatch import terra_notebook_utils.cli.commands.config import terra_notebook_utils.cli.commands.vcf import terra_notebook_utils.cli.commands.workspace import terra_not...	33.954545	66	0.78581	109	747	5.183486	0.40367	0.20708	0.286726	0.297345	0.433628	0.433628	0	0	0	0	0.004623	0.131191	747	21	67	35.571429	0.865948	0.184739	0	0	0	0	0.01495	0	0	0	0	0	1	0.066667	true	0	0.666667	0	0.733333	0.066667	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ceafeba86d0103582a80b94175ae03971f337d7f	15,780	py	Python	quantiphyse/packages/core/analysis/tests.py	physimals/quantiphyse	bd3be0098b9929b1987fe0f23e515fa70674b3d4	[ "Apache-2.0" ]	9	2021-02-01T06:44:31.000Z	2022-01-17T15:46:40.000Z	quantiphyse/packages/core/analysis/tests.py	ibme-qubic/quantiphyse	34f40424941414ce139c4612a903de3f24883576	[ "Apache-2.0" ]	34	2019-02-04T10:47:02.000Z	2020-08-13T09:36:52.000Z	quantiphyse/packages/core/analysis/tests.py	physimals/quantiphyse	bd3be0098b9929b1987fe0f23e515fa70674b3d4	[ "Apache-2.0" ]	2	2021-02-21T01:46:04.000Z	2021-11-15T10:55:26.000Z	import unittest import re import numpy as np from PySide2 import QtGui, QtCore, QtWidgets from quantiphyse.data import DataGrid from quantiphyse.test.widget_test import WidgetTest from .widgets import DataStatistics, MultiVoxelAnalysis, VoxelAnalysis, MeasureWidget class DataStatisticsTest(WidgetTest): def wi...	38.300971	107	0.603295	2,206	15,780	4.230281	0.086582	0.045006	0.096764	0.042435	0.851907	0.833262	0.785041	0.753215	0.719781	0.715709	0.044291	0.230228	15,780	411	108	38.394161	0.723965	0.012041	0	0.677612	0	0	0.032831	0.016029	0	0	0	0.262687	1	0.077612	false	0	0.020896	0.01194	0.122388	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
cec6e03db5a57d053f5b7f87fd73198b8efc0698	164	py	Python	python/find_missing_letter.py	boranseckin/codewars	6e82d5a0bcdbaf695ed80a0ce120f5b37cc45015	[ "MIT" ]	null	null	null	python/find_missing_letter.py	boranseckin/codewars	6e82d5a0bcdbaf695ed80a0ce120f5b37cc45015	[ "MIT" ]	null	null	null	python/find_missing_letter.py	boranseckin/codewars	6e82d5a0bcdbaf695ed80a0ce120f5b37cc45015	[ "MIT" ]	null	null	null	def find_missing_letter(chars): for i in range(1, len(chars)): if not ord(chars[i]) == ord(chars[i - 1]) + 1: return chr(ord(chars[i]) - 1)	32.8	54	0.554878	28	164	3.178571	0.571429	0.269663	0.303371	0.224719	0	0	0	0	0	0	0.033333	0.268293	164	4	55	41	0.708333	0	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0	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	0	0	0	null	0	0	0	0	1	0	0	0	0	0	0	6
cecfb872674b811868385321c28706ed7f41dfae	609	py	Python	trochilidae/interoperable_with_metaclass.py	MATTHEWFRAZER/trochilidae	35e907ba9dcb1f283f79f4f32d61db6b53a1ca97	[ "MIT" ]	null	null	null	trochilidae/interoperable_with_metaclass.py	MATTHEWFRAZER/trochilidae	35e907ba9dcb1f283f79f4f32d61db6b53a1ca97	[ "MIT" ]	null	null	null	trochilidae/interoperable_with_metaclass.py	MATTHEWFRAZER/trochilidae	35e907ba9dcb1f283f79f4f32d61db6b53a1ca97	[ "MIT" ]	1	2021-11-12T18:49:15.000Z	2021-11-12T18:49:15.000Z	from future.utils import with_metaclass as with_metaclass_future from six import with_metaclass as with_metaclass_six __all__ = ["interoperable_with_metaclass_future", "interoperable_with_metaclass_six"] def interoperable_with_metaclass(with_metaclass, metaclass): return type("{0}Wrapper".format(metaclass.__name...	35.823529	90	0.842365	73	609	6.506849	0.232877	0.410526	0.383158	0.183158	0.612632	0.370526	0.227368	0	0	0	0.001795	0.085386	609	16	91	38.0625	0.850987	0	0	0	0	0	0.126437	0.110016	0	0	0	0	1	0.333333	false	0	0.222222	0.333333	0.888889	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
0ca865c82e505766ec52c067ce41e899e0ce7561	146	py	Python	library_management/library_management/doctype/customer_account/test_customer_account.py	jcgurango/library_management	f9859499eb12414889277fbdadfcd60290c320dd	[ "MIT" ]	null	null	null	library_management/library_management/doctype/customer_account/test_customer_account.py	jcgurango/library_management	f9859499eb12414889277fbdadfcd60290c320dd	[ "MIT" ]	null	null	null	library_management/library_management/doctype/customer_account/test_customer_account.py	jcgurango/library_management	f9859499eb12414889277fbdadfcd60290c320dd	[ "MIT" ]	null	null	null	# Copyright (c) 2021, JC and Contributors # See license.txt # import frappe import unittest class TestCustomerAccount(unittest.TestCase): pass	16.222222	45	0.780822	18	146	6.333333	0.888889	0	0	0	0	0	0	0	0	0	0.032	0.143836	146	8	46	18.25	0.88	0.472603	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
0cea6471cd847335c844324978aa250b20f03559	5,064	py	Python	drama/trash/NN.py	vafaei-ar/pymce	c01197b74fb515a0d6e400310c4d5c0ffad0f3c9	[ "BSD-3-Clause" ]	16	2019-09-11T12:53:15.000Z	2021-12-09T12:07:51.000Z	drama/trash/NN.py	vafaei-ar/pymce	c01197b74fb515a0d6e400310c4d5c0ffad0f3c9	[ "BSD-3-Clause" ]	null	null	null	drama/trash/NN.py	vafaei-ar/pymce	c01197b74fb515a0d6e400310c4d5c0ffad0f3c9	[ "BSD-3-Clause" ]	3	2019-12-12T08:55:44.000Z	2021-08-23T04:37:53.000Z	from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import tensorflow as tf def nearest_neighbor(components, X, distance='L1'): # Initializing the tensor flow variables init = tf.global_variables_initializer() # Launch the session sess ...	35.914894	150	0.734202	884	5,064	3.932127	0.125566	0.066168	0.066168	0.058688	0.813003	0.798331	0.786824	0.784522	0.777618	0.777618	0.016711	0.113744	5,064	140	151	36.171429	0.757799	0.076817	0	0.561798	0	0	0.007293	0	0	0	0	0	1	0.05618	false	0	0.05618	0.011236	0.168539	0.011236	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0b7e2ae2b0a8c904bfe06193fb29ceccba13df84	1,201	py	Python	test/test_attestation_authority_attestation_authority_hint.py	atlassian-forks/client-python	111cb2184324595931e42233707a58cff77cb6ec	[ "Apache-2.0" ]	6	2018-01-22T21:54:56.000Z	2020-07-26T14:52:13.000Z	test/test_attestation_authority_attestation_authority_hint.py	atlassian-forks/client-python	111cb2184324595931e42233707a58cff77cb6ec	[ "Apache-2.0" ]	6	2018-07-12T12:56:16.000Z	2021-07-13T00:33:24.000Z	test/test_attestation_authority_attestation_authority_hint.py	atlassian-forks/client-python	111cb2184324595931e42233707a58cff77cb6ec	[ "Apache-2.0" ]	19	2018-07-12T11:08:44.000Z	2022-03-09T06:17:04.000Z	# coding: utf-8 """ An API to insert and retrieve metadata on cloud artifacts. No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: v1alpha1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ ...	29.292683	142	0.767694	116	1,201	7.767241	0.568966	0.08879	0.031077	0.046615	0.210877	0.210877	0.210877	0	0	0	0.011952	0.16403	1,201	40	143	30.025	0.885458	0.509575	0	0.214286	1	0	0.014625	0	0	0	0.025	0	1	0.214286	false	0.214286	0.357143	0	0.642857	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	1	0	0	1	0	1	1	0	1	0	6
e7e71c528ae4b976fd18b053a7dca80f200ede89	30	py	Python	email_analytics/__init__.py	jiachenghe666/email_analytics	8923e5f5c69377b7e5ec61264c8e5199b4f77ca5	[ "MIT" ]	null	null	null	email_analytics/__init__.py	jiachenghe666/email_analytics	8923e5f5c69377b7e5ec61264c8e5199b4f77ca5	[ "MIT" ]	null	null	null	email_analytics/__init__.py	jiachenghe666/email_analytics	8923e5f5c69377b7e5ec61264c8e5199b4f77ca5	[ "MIT" ]	null	null	null	from .email_analytics import *	30	30	0.833333	4	30	6	1	0	0	0	0	0	0	0	0	0	0	0.1	30	1	30	30	0.888889	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
e7ef63897cc21bf471333233c3c5ad6c8a1a49dc	142	py	Python	setup.py	barronh/cmaqkrig	9507f804428ca7d4fea536206a68b23b72de27af	[ "CC0-1.0" ]	1	2021-02-10T04:03:36.000Z	2021-02-10T04:03:36.000Z	setup.py	barronh/cmaqml	9507f804428ca7d4fea536206a68b23b72de27af	[ "CC0-1.0" ]	null	null	null	setup.py	barronh/cmaqml	9507f804428ca7d4fea536206a68b23b72de27af	[ "CC0-1.0" ]	null	null	null	from __future__ import print_function try: from setuptools import setup except ImportError: from distutils.core import setup setup()	17.75	37	0.788732	18	142	5.944444	0.666667	0.205607	0	0	0	0	0	0	0	0	0	0.176056	142	7	38	20.285714	0.91453	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0.166667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f00831fce23dc47abfc1d003f936242c212aae45	18	py	Python	wikigps/__init__.py	crdoconnor/wikigps	1234aefcfd64bfffa2aaab4234f17600f180f5ae	[ "Apache-2.0" ]	20	2019-10-08T10:00:19.000Z	2022-01-08T16:16:19.000Z	wikigps/__init__.py	crdoconnor/wikigps	1234aefcfd64bfffa2aaab4234f17600f180f5ae	[ "Apache-2.0" ]	19	2020-04-12T12:33:03.000Z	2021-11-28T22:53:19.000Z	wikigps/__init__.py	crdoconnor/wikigps	1234aefcfd64bfffa2aaab4234f17600f180f5ae	[ "Apache-2.0" ]	9	2019-12-26T07:56:36.000Z	2022-02-15T18:38:29.000Z	from . import cli	9	17	0.722222	3	18	4.333333	1	0	0	0	0	0	0	0	0	0	0	0.222222	18	1	18	18	0.928571	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f022820ceb009e8fc165dba82b7f5bc46672245b	117	py	Python	blackwidow/tests/test_error.py	stitch/BlackWidow	b03353f75104fbc9a3854214524006ae586dba2f	[ "MIT" ]	131	2015-09-08T05:56:23.000Z	2021-10-15T11:04:34.000Z	blackwidow/tests/test_error.py	stitch/BlackWidow	b03353f75104fbc9a3854214524006ae586dba2f	[ "MIT" ]	14	2015-09-08T06:49:36.000Z	2020-08-13T09:10:36.000Z	blackwidow/tests/test_error.py	madisonmay/BlackWidow	9cb9551d665ddbadce53847d3191a627fe59566a	[ "MIT" ]	5	2015-09-27T17:21:28.000Z	2020-08-13T10:47:04.000Z	from blackwidow import error def test_blackwidow_error(): assert isinstance(error.BlackWidowIOError(), IOError)	23.4	57	0.803419	13	117	7.076923	0.769231	0	0	0	0	0	0	0	0	0	0	0.119658	117	4	58	29.25	0.893204	0	0	0	0	0	0	0	0	0	0	0.333333	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
f063b6fb93ddb04041f74e6572ca005fb5edd4fc	193	py	Python	constants.py	genughaben/shoptrail-yolo	0b7600601ae864a49353e82638a3eca69f1bdee7	[ "Apache-2.0" ]	null	null	null	constants.py	genughaben/shoptrail-yolo	0b7600601ae864a49353e82638a3eca69f1bdee7	[ "Apache-2.0" ]	10	2020-03-24T15:46:53.000Z	2022-03-11T23:24:14.000Z	constants.py	genughaben/shoptrail-yolo	0b7600601ae864a49353e82638a3eca69f1bdee7	[ "Apache-2.0" ]	null	null	null	IMAGES_FOLDER = "/Users/frank/Development/shoptrail/shoptrail-camera/images/" VIDEO_WIDTH = 416 VIDEO_HEIGHT = 416 VIDEO_FOLDER = '/Users/frank/Development/shoptrail/shoptrail-camera/videos/'	32.166667	77	0.80829	24	193	6.333333	0.5	0.144737	0.210526	0.355263	0.671053	0.671053	0.671053	0	0	0	0.033333	0.067358	193	5	78	38.6	0.811111	0	0	0	0	0	0.614583	0.614583	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	0	0	6
b2ee73764cdb4c30d3e4398525f1e6150d4efe73	11,309	py	Python	reg_tests/MoordynChecks/MoordynQSchecks.py	erickaloz/openfast	09a061a62eb28b2e57ab1cae38d0009fd0e50037	[ "Apache-2.0" ]	null	null	null	reg_tests/MoordynChecks/MoordynQSchecks.py	erickaloz/openfast	09a061a62eb28b2e57ab1cae38d0009fd0e50037	[ "Apache-2.0" ]	null	null	null	reg_tests/MoordynChecks/MoordynQSchecks.py	erickaloz/openfast	09a061a62eb28b2e57ab1cae38d0009fd0e50037	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- """ Created on Fri Oct 1 14:00:45 2021 @author: elozon """ from moorpy.Catenary import catenary import moorpy as mp import numpy as np import os import sys basepath = "C:/code/openfast/reg_tests" sys.path.insert(0, os.path.sep.join([basepath, "lib"])) import argparse import shutil import glo...	39.820423	211	0.636484	1,542	11,309	4.594682	0.166667	0.016937	0.003811	0.012703	0.827805	0.816937	0.799012	0.780805	0.765561	0.765561	0.036559	0.226015	11,309	284	212	39.820423	0.772878	0.284287	0	0.601351	0	0.02027	0.12441	0.00957	0	0	0	0	1	0.027027	false	0.040541	0.108108	0	0.155405	0.067568	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
e8fba42244c4d1499261b90f3b97c3529bc41f21	6,189	py	Python	ctr_funcs.py	oywtece/minet	13354c31d398cbb2d12b49935956b9b3873a6dc9	[ "MIT" ]	48	2020-08-10T12:31:21.000Z	2022-03-04T14:25:16.000Z	ctr_funcs.py	oywtece/minet	13354c31d398cbb2d12b49935956b9b3873a6dc9	[ "MIT" ]	7	2020-10-27T07:56:29.000Z	2021-12-03T07:16:30.000Z	ctr_funcs.py	oywtece/minet	13354c31d398cbb2d12b49935956b9b3873a6dc9	[ "MIT" ]	12	2020-09-03T08:19:52.000Z	2022-03-01T12:48:11.000Z	import tensorflow as tf import numpy as np import datetime from sklearn import metrics def cal_auc(pred_score, label): fpr, tpr, thresholds = metrics.roc_curve(label, pred_score, pos_label=1) auc_val = metrics.auc(fpr, tpr) return auc_val, fpr, tpr def cal_rmse(pred_score, label): mse = metrics.mean_s...	45.507353	115	0.74697	913	6,189	4.754655	0.180723	0.040544	0.076019	0.042387	0.803271	0.795439	0.789449	0.782999	0.761345	0.75812	0.01073	0.171756	6,189	135	116	45.844444	0.83613	0.174018	0	0.5625	0	0	0.010812	0	0	0	0	0	1	0.135417	false	0	0.041667	0	0.302083	0.020833	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
336f900985f4fe7446b7c808704f33e985779e17	325	py	Python	{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/__init__.py	Aiwizo/pytorch-lantern-template	cc20b82ac91d0291c0c981f4afc87ca4c6422207	[ "Apache-2.0" ]	1	2021-04-13T14:13:16.000Z	2021-04-13T14:13:16.000Z	{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/__init__.py	Aiwizo/pytorch-lantern-template	cc20b82ac91d0291c0c981f4afc87ca4c6422207	[ "Apache-2.0" ]	10	2020-12-17T07:26:29.000Z	2021-08-13T07:43:17.000Z	{{cookiecutter.repository_name}}/{{cookiecutter.package_name}}/datastream/__init__.py	Aiwizo/pytorch-lantern-template	cc20b82ac91d0291c0c981f4afc87ca4c6422207	[ "Apache-2.0" ]	null	null	null	from {{cookiecutter.package_name}}.datastream.datasets import datasets from {{cookiecutter.package_name}}.datastream.augmenter import augmenter from {{cookiecutter.package_name}}.datastream.evaluate_datastreams import evaluate_datastreams from {{cookiecutter.package_name}}.datastream.train_datastream import TrainDatast...	65	94	0.864615	35	325	7.828571	0.342857	0.233577	0.335766	0.394161	0.540146	0	0	0	0	0	0	0.049231	325	4	95	81.25	0.886731	0	0	0	0	0	0	0	0	0	0	0	0	null	null	0	1	null	null	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	1	0	0	0	6
3371c538503953ff1bdb17fcc1a8cd1c3dc3d961	120	py	Python	src/src2/conditions.py	chang-ngeno/ibook-cs050	ce545ae6d00bf5adfa2a1b7d263876136c1f570c	[ "MIT" ]	null	null	null	src/src2/conditions.py	chang-ngeno/ibook-cs050	ce545ae6d00bf5adfa2a1b7d263876136c1f570c	[ "MIT" ]	4	2020-06-06T01:26:20.000Z	2021-06-10T22:35:19.000Z	CS50_web_dev/src/src2/conditions.py	ChuaCheowHuan/web_app_DPTH	dd901e6359fe76f15b69701c53f76666c3219173	[ "MIT" ]	1	2020-05-09T15:21:34.000Z	2020-05-09T15:21:34.000Z	x = int(input()) if x > 0: print("x is positive") elif x < 0: print("x is negative") else: print("x is 0")	13.333333	26	0.533333	22	120	2.909091	0.5	0.28125	0.375	0.25	0.3125	0	0	0	0	0	0.034884	0.283333	120	8	27	15	0.709302	0	0	0	0	0	0.266667	0	0	0	0	0	1	0	false	0	0	0	0	0.428571	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	6
3374496194c1efc5a59bf7accbbc46b72ea2fbf0	513	py	Python	jupy/easy_func_access.py	Jow1e/jupy	30f5d00c5cc7750d2f0320dc075ec2bf0824275e	[ "MIT" ]	null	null	null	jupy/easy_func_access.py	Jow1e/jupy	30f5d00c5cc7750d2f0320dc075ec2bf0824275e	[ "MIT" ]	null	null	null	jupy/easy_func_access.py	Jow1e/jupy	30f5d00c5cc7750d2f0320dc075ec2bf0824275e	[ "MIT" ]	null	null	null	from .tensor import apply_forward def square(z): return apply_forward([z], "square") def log(z): return apply_forward([z], "log") def mse(y_hat, y): return apply_forward([y_hat, y], "mse") def cross_entropy(y_hat, y): return apply_forward([y_hat, y], "cross_entropy") def linear(z, weigh...	17.1	51	0.649123	77	513	4.142857	0.272727	0.30094	0.394984	0.297806	0.363636	0.175549	0.175549	0.175549	0.175549	0	0	0.192982	513	29	52	17.689655	0.770531	0	0	0	0	0	0.088843	0	0	0	0	0	1	0.466667	false	0	0.066667	0.466667	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
684513f8798ef42cffce3da7c66bf81e81d35341	128,751	py	Python	pyidml/tests/dummy_icml.py	joshklos/pyIDML	bfaeab6dc1737c8fac4f11b974c634193094d5e0	[ "MIT" ]	null	null	null	pyidml/tests/dummy_icml.py	joshklos/pyIDML	bfaeab6dc1737c8fac4f11b974c634193094d5e0	[ "MIT" ]	null	null	null	pyidml/tests/dummy_icml.py	joshklos/pyIDML	bfaeab6dc1737c8fac4f11b974c634193094d5e0	[ "MIT" ]	null	null	null	contents = """<?xml version="1.0" encoding="UTF-8" standalone="yes"?> <?aid style="50" type="snippet" readerVersion="6.0" featureSet="257" product="8.0(370)" ?> <?aid SnippetType="InCopyInterchange"?> <Document DOMVersion="8.0" Self="d"> <RootCharacterStyleGroup Self="u77"> <CharacterStyle Self="CharacterStyle/$ID/[...	187.41048	4,786	0.784266	18,911	128,751	5.340225	0.155888	0.03137	0.034222	0.041708	0.358762	0.344057	0.333442	0.325303	0.321689	0.320094	0.005442	0.149397	128,751	687	4,787	187.41048	0.916542	0	1	0.843567	0	0.288012	0.999332	0.214358	0	0	0	0.00731	1	0	false	0.005848	0.033626	0	0.033626	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	1	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	6
68580d4588fe3048f1d956fb0a9dbe985848acfc	74	py	Python	test_it.py	tillbey/travis-test	ad36fda307856915bc1d38f86eb12d9d0fe315e8	[ "MIT" ]	null	null	null	test_it.py	tillbey/travis-test	ad36fda307856915bc1d38f86eb12d9d0fe315e8	[ "MIT" ]	null	null	null	test_it.py	tillbey/travis-test	ad36fda307856915bc1d38f86eb12d9d0fe315e8	[ "MIT" ]	null	null	null	from travistest import main def test_it(): assert main.test() == 5	10.571429	27	0.662162	11	74	4.363636	0.818182	0	0	0	0	0	0	0	0	0	0.017544	0.22973	74	6	28	12.333333	0.824561	0	0	0	0	0	0	0	0	0	0	0.333333	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
d7a5020976ac677a235071a0b595c6e200fed260	28	py	Python	controllers/__init__.py	mga-odoo/intern-contacts	16f52b6e89196b79beb94e1dd0e515302416665a	[ "MIT" ]	2	2019-05-04T15:01:04.000Z	2019-05-04T15:01:07.000Z	controllers/__init__.py	mga-odoo/intern-contacts	16f52b6e89196b79beb94e1dd0e515302416665a	[ "MIT" ]	null	null	null	controllers/__init__.py	mga-odoo/intern-contacts	16f52b6e89196b79beb94e1dd0e515302416665a	[ "MIT" ]	1	2019-05-04T15:01:18.000Z	2019-05-04T15:01:18.000Z	import contact import group	9.333333	14	0.857143	4	28	6	0.75	0	0	0	0	0	0	0	0	0	0	0.142857	28	3	15	9.333333	1	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
d7cd7636cfd4404481d04ae538220c96fcae42b2	1,586	py	Python	investing_algorithm_framework/core/market_services/market_service.py	investing-algorithms/investing-algorithm-framework	d579e142a3857e2e2dfb59b7d6e54202f7df5466	[ "Apache-2.0" ]	1	2019-12-23T21:23:45.000Z	2019-12-23T21:23:45.000Z	investing_algorithm_framework/core/market_services/market_service.py	investing-algorithms/investing-algorithm-framework	d579e142a3857e2e2dfb59b7d6e54202f7df5466	[ "Apache-2.0" ]	null	null	null	investing_algorithm_framework/core/market_services/market_service.py	investing-algorithms/investing-algorithm-framework	d579e142a3857e2e2dfb59b7d6e54202f7df5466	[ "Apache-2.0" ]	1	2019-12-23T21:23:50.000Z	2019-12-23T21:23:50.000Z	from abc import ABC, abstractmethod class MarketService(ABC): @abstractmethod def pair_exists(self, target_symbol: str, trading_symbol: str): pass @abstractmethod def get_prices(self, symbols): pass @abstractmethod def get_ticker(self, symbol): pass @abstractmet...	18.880952	67	0.602774	168	1,586	5.470238	0.244048	0.277476	0.319913	0.261153	0.602829	0.531012	0.380849	0.342764	0.255713	0.255713	0	0.325977	1,586	83	68	19.108434	0.859682	0	0	0.727273	0	0	0	0	0	0	0	0	1	0.227273	false	0.227273	0.015152	0	0.257576	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	1	0	1	0	0	0	0	6
d7e1494c006defa681da9dfa992b563d26525b3d	43	py	Python	basic_ml/src/neural_networks/architectures/boltzmann_machines.py	jmetzz/ml-laboratory	26b1e87bd0d80efa4f15280f7f32ad46d59efc1f	[ "MIT" ]	1	2021-09-10T16:55:35.000Z	2021-09-10T16:55:35.000Z	basic_ml/src/neural_networks/architectures/boltzmann_machines.py	jmetzz/ml-laboratory	26b1e87bd0d80efa4f15280f7f32ad46d59efc1f	[ "MIT" ]	14	2022-03-12T01:06:08.000Z	2022-03-30T14:30:22.000Z	basic_ml/src/neural_networks/architectures/boltzmann_machines.py	jmetzz/ml-laboratory	26b1e87bd0d80efa4f15280f7f32ad46d59efc1f	[ "MIT" ]	null	null	null	class RestrictedBoltzmannMachine: pass	14.333333	33	0.813953	3	43	11.666667	1	0	0	0	0	0	0	0	0	0	0	0.162791	43	2	34	21.5	0.972222	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	1	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	0	0	0	6
0bd39eb61d7fca98cca3398c9cddcecee54a88df	228	py	Python	eventx/predictors/__init__.py	DFKI-NLP/eventx	6789d0382212bf0c9467d500117e60fae1ad3908	[ "MIT" ]	null	null	null	eventx/predictors/__init__.py	DFKI-NLP/eventx	6789d0382212bf0c9467d500117e60fae1ad3908	[ "MIT" ]	null	null	null	eventx/predictors/__init__.py	DFKI-NLP/eventx	6789d0382212bf0c9467d500117e60fae1ad3908	[ "MIT" ]	null	null	null	from eventx.predictors.smartdata_predictor import SmartdataEventxPredictor from eventx.predictors.snorkel_predictor import SnorkelEventxPredictor from eventx.predictors.experimental_ace_predictor import ExperimentalAcePredictor	57	81	0.921053	22	228	9.363636	0.545455	0.145631	0.291262	0	0	0	0	0	0	0	0	0.052632	228	3	82	76	0.953704	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
0bef2c6d0114cc9d5f62e960d8819f936682b535	6,910	py	Python	mtalg/testing/test_rng.py	WWakker/mtalg	fd63f305d857ef2cfbd5280c1de54f52a309a3fd	[ "MIT" ]	10	2021-12-14T12:39:04.000Z	2022-01-16T15:21:11.000Z	mtalg/testing/test_rng.py	WWakker/mtalg	fd63f305d857ef2cfbd5280c1de54f52a309a3fd	[ "MIT" ]	8	2021-12-23T11:50:50.000Z	2021-12-28T19:42:14.000Z	mtalg/testing/test_rng.py	WWakker/mtalg	fd63f305d857ef2cfbd5280c1de54f52a309a3fd	[ "MIT" ]	1	2021-12-22T21:39:56.000Z	2021-12-22T21:39:56.000Z	import mtalg from mtalg.random import MultithreadedRNG import numpy as np class TestMRNG: def test1(self): mrng = MultithreadedRNG(seed=1) assert mrng._shape is None def test2(self): mrng = MultithreadedRNG(seed=1, num_threads=4) a = mrng.standard_normal(size=4) assert...	44.012739	95	0.573372	962	6,910	4.059252	0.132017	0.157746	0.042254	0.083227	0.838924	0.822279	0.817157	0.812036	0.801793	0.789757	0.0677	0.290304	6,910	156	96	44.294872	0.728589	0	0	0.676056	0	0	0	0	0	0	0	0.098592	1	0.091549	false	0	0.021127	0	0.119718	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0bf743a8a0f1b93cfaf5719e896fcbeacc8338ee	4,848	py	Python	python/test/function/test_pad.py	sdonatti/nnabla	ac4a42e62dd358f16bd79c08a9a9f3d83c0100c9	[ "Apache-2.0" ]	1	2019-09-10T06:51:37.000Z	2019-09-10T06:51:37.000Z	python/test/function/test_pad.py	langbin2014/nnabla	e94bac5bed65337010e2ac07a5937fb862ab2dd8	[ "Apache-2.0" ]	1	2020-11-09T07:33:29.000Z	2020-11-09T07:33:29.000Z	python/test/function/test_pad.py	langbin2014/nnabla	e94bac5bed65337010e2ac07a5937fb862ab2dd8	[ "Apache-2.0" ]	null	null	null	# Copyright (c) 2017 Sony Corporation. 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 # # Unless required by applicabl...	38.173228	78	0.581271	766	4,848	3.527415	0.169713	0.023686	0.026647	0.029608	0.757957	0.738712	0.738712	0.738712	0.728349	0.678016	0.078138	0.229167	4,848	126	79	38.47619	0.644902	0.119431	0	0.808081	0	0	0.048179	0	0	0	0	0	1	0.060606	false	0	0.060606	0	0.141414	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
041b8f6b480a7dc9cd0537647db0b89956bd4f3c	96	py	Python	venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydev_imps/_pydev_SimpleXMLRPCServer.py	Retraces/UkraineBot	3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydev_imps/_pydev_SimpleXMLRPCServer.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/debugpy/_vendored/pydevd/_pydev_imps/_pydev_SimpleXMLRPCServer.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/87/a8/65/46c8c75345440a6c7fb21b2e2adcb806971af94ea0c9a196d612bb1adb	96	96	0.895833	9	96	9.555556	1	0	0	0	0	0	0	0	0	0	0.40625	0	96	1	96	96	0.489583	0	0	0	0	0	0	0	1	0	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	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	6
04558b33b294b9a3d9274139c0865cc415135e51	770	py	Python	goalrepresent/models/__init__.py	flowersteam/holmes	e38fb8417ec56cfde8142eddd0f751e319e35d8c	[ "MIT" ]	6	2020-12-19T00:16:16.000Z	2022-01-28T14:59:21.000Z	goalrepresent/models/__init__.py	Evolutionary-Intelligence/holmes	e38fb8417ec56cfde8142eddd0f751e319e35d8c	[ "MIT" ]	null	null	null	goalrepresent/models/__init__.py	Evolutionary-Intelligence/holmes	e38fb8417ec56cfde8142eddd0f751e319e35d8c	[ "MIT" ]	1	2021-05-24T14:58:26.000Z	2021-05-24T14:58:26.000Z	from goalrepresent.models.baselines.decomposition import PCAModel from goalrepresent.models.lenia_BC.BC_spectrumfourier.BC_spectrumfourier import BCSpectrumFourierModel from goalrepresent.models.lenia_BC.BC_ellipticalfourier.BC_ellipticalfourier import BCEllipticalFourierModel from goalrepresent.models.lenia_BC.BC_len...	59.230769	108	0.901299	84	770	8.083333	0.345238	0.225331	0.30486	0.206186	0.235641	0.235641	0	0	0	0	0	0.055844	770	12	109	64.166667	0.933975	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9bcf9d865ecc91225457d023a00ff95d9c227f8a	1,322	py	Python	tests/test_batch.py	usma0118/PlexTraktSync	89c0ef43f0de777a29aa232c47135e37ed4da7ab	[ "MIT" ]	null	null	null	tests/test_batch.py	usma0118/PlexTraktSync	89c0ef43f0de777a29aa232c47135e37ed4da7ab	[ "MIT" ]	23	2022-01-13T08:20:44.000Z	2022-03-31T13:35:46.000Z	tests/test_batch.py	usma0118/PlexTraktSync	89c0ef43f0de777a29aa232c47135e37ed4da7ab	[ "MIT" ]	null	null	null	#!/usr/bin/env python3 -m pytest from unittest.mock import Mock from plextraktsync.trakt_api import TraktBatch from tests.conftest import factory, load_mock trakt = factory.trakt_api() def test_batch_size_none(): response = load_mock("trakt_sync_collection_response.json") b = TraktBatch(trakt) b.trakt_s...	29.377778	63	0.716339	191	1,322	4.659686	0.251309	0.091011	0.192135	0.107865	0.778652	0.778652	0.778652	0.778652	0.778652	0.778652	0.011142	0.185325	1,322	44	64	30.045455	0.815227	0.023449	0	0.677419	0	0	0.106977	0.106977	0	0	0	0.290323	1	0.064516	false	0	0.096774	0	0.16129	0	0	0	0	null	0	1	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
502f1e0bfc2de19f2342e3218d488d4f1165892a	27,652	py	Python	misago/misago/threads/tests/test_privatethread_patch_api.py	vascoalramos/misago-deployment	20226072138403108046c0afad9d99eb4163cedc	[ "MIT" ]	2	2021-03-06T21:06:13.000Z	2021-03-09T15:05:12.000Z	misago/misago/threads/tests/test_privatethread_patch_api.py	vascoalramos/misago-deployment	20226072138403108046c0afad9d99eb4163cedc	[ "MIT" ]	null	null	null	misago/misago/threads/tests/test_privatethread_patch_api.py	vascoalramos/misago-deployment	20226072138403108046c0afad9d99eb4163cedc	[ "MIT" ]	null	null	null	import json from django.core import mail from .. import test from ...acl.test import patch_user_acl from ...users.test import create_test_user from ..models import Thread, ThreadParticipant from ..test import other_user_cant_use_private_threads from .test_privatethreads import PrivateThreadsTestCase class PrivateTh...	37.216689	88	0.628309	3,172	27,652	5.31053	0.066204	0.069457	0.040902	0.031345	0.832057	0.81312	0.796438	0.782903	0.781894	0.766162	0.005264	0.25123	27,652	742	89	37.266846	0.808307	0.099306	0	0.65764	0	0	0.095263	0.009846	0	0	0	0.263056	1	0.065764	false	0	0.015474	0.001934	0.090909	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ace05bb4da7b061e55434aba2109bf5c00f77b1a	161	py	Python	s2cholar/api/__init__.py	luizvbo/s2cholar	7f2be800168ef792230f7759bc7131c5f59e2103	[ "MIT" ]	1	2021-12-03T13:02:34.000Z	2021-12-03T13:02:34.000Z	s2cholar/api/__init__.py	luizvbo/s2cholar	7f2be800168ef792230f7759bc7131c5f59e2103	[ "MIT" ]	null	null	null	s2cholar/api/__init__.py	luizvbo/s2cholar	7f2be800168ef792230f7759bc7131c5f59e2103	[ "MIT" ]	null	null	null	from __future__ import absolute_import # import apis into api package from s2cholar.api.author_api import AuthorApi from s2cholar.api.paper_api import PaperApi	26.833333	45	0.850932	24	161	5.416667	0.541667	0.184615	0.230769	0	0	0	0	0	0	0	0.014085	0.118012	161	5	46	32.2	0.901408	0.173913	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
acfa054ef62347ef90771140542b4bcc05161822	129	py	Python	src/evaluation/__init__.py	sisl/InteractionImitation	9c9ee8f21b53e71bbca86b0b79c6e6d913a20567	[ "MIT" ]	2	2022-03-13T19:43:08.000Z	2022-03-14T03:19:33.000Z	src/evaluation/__init__.py	sisl/InteractionImitation	9c9ee8f21b53e71bbca86b0b79c6e6d913a20567	[ "MIT" ]	null	null	null	src/evaluation/__init__.py	sisl/InteractionImitation	9c9ee8f21b53e71bbca86b0b79c6e6d913a20567	[ "MIT" ]	null	null	null	from src.evaluation.evaluation import IntersimpleEvaluation from src.evaluation.metrics import divergence, visualize_distribution	64.5	69	0.899225	14	129	8.214286	0.642857	0.121739	0.295652	0	0	0	0	0	0	0	0	0.062016	129	2	69	64.5	0.950413	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
c5842e007f947062d24fe74dd2044b2370c525c5	217	py	Python	ida_export/preselect/filters/__init__.py	RUB-SysSec/tropyhunter	7d027bf18944c641296ed5d68462f4400dbc055e	[ "MIT" ]	1	2020-11-06T21:18:01.000Z	2020-11-06T21:18:01.000Z	ida_export/preselect/filters/__init__.py	RUB-SysSec/tropyhunter	7d027bf18944c641296ed5d68462f4400dbc055e	[ "MIT" ]	null	null	null	ida_export/preselect/filters/__init__.py	RUB-SysSec/tropyhunter	7d027bf18944c641296ed5d68462f4400dbc055e	[ "MIT" ]	null	null	null	# Export the filter classes from .instruction_filter import InstructionFilter from .syscall_filter import SyscallFilter from .read_random_filter import ReadRandomFilter from .arithmetic_filter import ArithmeticFilter	36.166667	49	0.880184	25	217	7.44	0.6	0.258065	0	0	0	0	0	0	0	0	0	0.096774	217	5	50	43.4	0.94898	0.115207	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
c585501c74f7c7d3279c3b853f0aed8c8d071124	216	py	Python	applications/DEMApplication/DEMApplication.py	lkusch/Kratos	e8072d8e24ab6f312765185b19d439f01ab7b27b	[ "BSD-4-Clause" ]	778	2017-01-27T16:29:17.000Z	2022-03-30T03:01:51.000Z	applications/DEMApplication/DEMApplication.py	lkusch/Kratos	e8072d8e24ab6f312765185b19d439f01ab7b27b	[ "BSD-4-Clause" ]	6,634	2017-01-15T22:56:13.000Z	2022-03-31T15:03:36.000Z	applications/DEMApplication/DEMApplication.py	lkusch/Kratos	e8072d8e24ab6f312765185b19d439f01ab7b27b	[ "BSD-4-Clause" ]	224	2017-02-07T14:12:49.000Z	2022-03-06T23:09:34.000Z	from KratosDEMApplication import * from KratosMultiphysics import _ImportApplication application = KratosDEMApplication() application_name = "KratosDEMApplication" _ImportApplication(application, application_name)	27	49	0.87037	16	216	11.5	0.4375	0.304348	0	0	0	0	0	0	0	0	0	0.083333	216	7	50	30.857143	0.929293	0	0	0	0	0	0.092593	0	0	0	0	0	1	0	false	0	0.6	0	0.6	0	1	0	1	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
c5b17a922f61cba52e18998221b39e51be01d0b9	10,916	py	Python	test/test_query.py	cacahootie/relately	94df9245c4050aead52c7316f7017463c108af06	[ "MIT" ]	1	2019-08-22T18:08:32.000Z	2019-08-22T18:08:32.000Z	test/test_query.py	cacahootie/relately	94df9245c4050aead52c7316f7017463c108af06	[ "MIT" ]	null	null	null	test/test_query.py	cacahootie/relately	94df9245c4050aead52c7316f7017463c108af06	[ "MIT" ]	null	null	null	import unittest import psycopg2 from relately.select import Select from . import RelatelyTest class TestQuery(RelatelyTest): def test_star_from_table(self): r = self.engine.select({ "columns":'*', "target":"world.city" }) self.assertEqual(len(r), 4079) ...	28.650919	68	0.403903	933	10,916	4.578778	0.096463	0.133427	0.143258	0.151217	0.834036	0.783708	0.783708	0.7603	0.74883	0.712079	0.017709	0.436149	10,916	380	69	28.726316	0.676361	0	0	0.669565	0	0	0.22776	0.002016	0	0	0	0.124638	1	0.084058	false	0	0.011594	0	0.098551	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
c5ea5aa932db1e28a3c663ec9563bbe2940b2c37	1,029,867	py	Python	examples/grids/grid_uri/cigre/cigre_eur_lv_res_2w2w/cigre_europe_residential_2w2w.py	pydae/pydae	8076bcfeb2cdc865a5fc58561ff8d246d0ed7d9d	[ "MIT" ]	1	2020-12-20T03:45:26.000Z	2020-12-20T03:45:26.000Z	examples/grids/grid_uri/cigre/cigre_eur_lv_res_2w2w/cigre_europe_residential_2w2w.py	pydae/pydae	8076bcfeb2cdc865a5fc58561ff8d246d0ed7d9d	[ "MIT" ]	null	null	null	examples/grids/grid_uri/cigre/cigre_eur_lv_res_2w2w/cigre_europe_residential_2w2w.py	pydae/pydae	8076bcfeb2cdc865a5fc58561ff8d246d0ed7d9d	[ "MIT" ]	null	null	null	import numpy as np import numba import scipy.optimize as sopt import json sin = np.sin cos = np.cos atan2 = np.arctan2 sqrt = np.sqrt sign = np.sign class cigre_europe_residential_2w2w_class: def __init__(self): self.t_end = 10.000000 self.Dt = 0.0010000 self.decimation = 10.00000...	67.687611	20,044	0.655055	209,376	1,029,867	2.892724	0.004251	0.165111	0.140439	0.093655	0.980816	0.975039	0.944321	0.557897	0.554866	0.553253	0.445451	0.182	1,029,867	15,215	20,045	67.687611	0.2735	0.002265	0	0.369603	0	0	0.013967	0.000131	0	0	0	0	1	0.003238	false	0.000135	0.00027	0.000135	0.005532	0.000472	0	0	0	null	0	0	0	1	1	1	0	0	0	1	0	1	0	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
c5f38a4a76a4a9f3052d9bc495fedc000530e433	78	py	Python	algorithms/cyk/__init__.py	Pavel3P/Object-Recognition	a7316b2d986ee269715804b4fb9ea1b5e088fd8e	[ "MIT" ]	null	null	null	algorithms/cyk/__init__.py	Pavel3P/Object-Recognition	a7316b2d986ee269715804b4fb9ea1b5e088fd8e	[ "MIT" ]	null	null	null	algorithms/cyk/__init__.py	Pavel3P/Object-Recognition	a7316b2d986ee269715804b4fb9ea1b5e088fd8e	[ "MIT" ]	null	null	null	from .cyk import CYK from .misc import generate_test_samples, construct_image	26	56	0.846154	12	78	5.25	0.75	0	0	0	0	0	0	0	0	0	0	0.115385	78	2	57	39	0.913043	0	0	0	1	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
c5f7c5e03356d38e92868f4e378854cc707f13f3	413	py	Python	airbyte-integrations/connectors/source-appsflyer/source_appsflyer/fields/__init__.py	OTRI-Unipd/OTRI-airbyte	50eeeb773f75246e86c6e167b0cd7d2dda6efe0d	[ "MIT" ]	22	2020-08-27T00:47:20.000Z	2020-09-17T15:39:39.000Z	airbyte-integrations/connectors/source-appsflyer/source_appsflyer/fields/__init__.py	OTRI-Unipd/OTRI-airbyte	50eeeb773f75246e86c6e167b0cd7d2dda6efe0d	[ "MIT" ]	116	2020-08-27T01:11:27.000Z	2020-09-19T02:47:52.000Z	airbyte-integrations/connectors/source-appsflyer/source_appsflyer/fields/__init__.py	OTRI-Unipd/OTRI-airbyte	50eeeb773f75246e86c6e167b0cd7d2dda6efe0d	[ "MIT" ]	2	2021-06-09T15:25:25.000Z	2021-12-31T13:34:10.000Z	from . import ( daily_report, geo_report, partners_report, raw_data, retargeting_daily_report, retargeting_geo_report, retargeting_partners_report, uninstall_events, ) __all__ = ( "daily_report", "geo_report", "partners_report", "raw_data", "retargeting_daily_report"...	18.772727	34	0.690073	41	413	6.317073	0.292683	0.169884	0.108108	0.15444	0.949807	0.949807	0.949807	0.949807	0.949807	0.949807	0	0.217918	413	21	35	19.666667	0.801858	0	0	0	0	0	0.324455	0.176755	0	0	0	0	1	0	false	0	0.05	0	0.05	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a8921441a5030b957393c55a12a157cabe6dc243	578	py	Python	Identification/post.py	npayneau/gesture-detection	19070174cbf2ccaf5a7e81bcd86e85937c2322b4	[ "Apache-2.0" ]	1	2019-10-03T10:01:15.000Z	2019-10-03T10:01:15.000Z	Identification/post.py	npayneau/gesture-detection	19070174cbf2ccaf5a7e81bcd86e85937c2322b4	[ "Apache-2.0" ]	null	null	null	Identification/post.py	npayneau/gesture-detection	19070174cbf2ccaf5a7e81bcd86e85937c2322b4	[ "Apache-2.0" ]	1	2020-05-13T08:40:24.000Z	2020-05-13T08:40:24.000Z	import requests import simplejson import requests data = {'sender': 'Alice', 'receiver': 'Bob', 'message': 'We did it!'} data_json = simplejson.dumps(data) payload = {'json_payload': data_json} r = requests.post("http://localhost:8080/data",json=payload) a=requests.get("http://localhost:8080/data") #%% data...	30.421053	62	0.681661	77	578	5.025974	0.285714	0.144703	0.175711	0.217054	0.847545	0.847545	0.847545	0.677003	0.677003	0.677003	0.031558	0.122837	578	19	63	30.421053	0.731755	0.00346	0	0.823529	0	0	0.357639	0	0	0	0	0	1	0	false	0	0.176471	0	0.176471	0	0	0	0	null	0	0	1	1	1	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
76439f995f897c2d92c32ea3c6fc32c70b748c05	29	py	Python	Python/OpenCV/bildcompare.py	Kreijeck/learning	eaffee08e61f2a34e01eb8f9f04519aac633f48c	[ "MIT" ]	null	null	null	Python/OpenCV/bildcompare.py	Kreijeck/learning	eaffee08e61f2a34e01eb8f9f04519aac633f48c	[ "MIT" ]	null	null	null	Python/OpenCV/bildcompare.py	Kreijeck/learning	eaffee08e61f2a34e01eb8f9f04519aac633f48c	[ "MIT" ]	null	null	null	import sys print("Foo Bar")	7.25	16	0.689655	5	29	4	1	0	0	0	0	0	0	0	0	0	0	0.172414	29	3	17	9.666667	0.833333	0	0	0	0	0	0.241379	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	1	6
7647e421571e11fb8f4c99e685cc6f7ade543421	21	py	Python	module_exports/__init__.py	ramon93i7/module_exports	31c8e2b6f5ef0f55c503c53b34f159a4fdd77f81	[ "MIT" ]	1	2020-08-31T21:10:38.000Z	2020-08-31T21:10:38.000Z	module_exports/__init__.py	ramon93i7/module_exports	31c8e2b6f5ef0f55c503c53b34f159a4fdd77f81	[ "MIT" ]	null	null	null	module_exports/__init__.py	ramon93i7/module_exports	31c8e2b6f5ef0f55c503c53b34f159a4fdd77f81	[ "MIT" ]	null	null	null	from ._root import *	10.5	20	0.714286	3	21	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.190476	21	1	21	21	0.823529	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
766500c32f6877f09182dce64948b4b1f3a6f3bc	12,588	py	Python	flow/controllers/imitation_learning/run.py	eugenevinitsky/bayesian_reasoning_traffic	de3c14f03fed9cab913bb692877851320a3b6843	[ "MIT" ]	2	2020-12-03T21:13:39.000Z	2022-03-13T09:12:43.000Z	flow/controllers/imitation_learning/run.py	eugenevinitsky/bayesian_reasoning_traffic	de3c14f03fed9cab913bb692877851320a3b6843	[ "MIT" ]	null	null	null	flow/controllers/imitation_learning/run.py	eugenevinitsky/bayesian_reasoning_traffic	de3c14f03fed9cab913bb692877851320a3b6843	[ "MIT" ]	1	2021-02-05T16:51:34.000Z	2021-02-05T16:51:34.000Z	import os import time import numpy as np from flow.controllers.imitation_learning.trainer import Trainer class Runner(object): """ Class to run imitation learning (training and evaluation) """ def __init__(self, params): """ Parameters __________ params: dict dicti...	51.802469	248	0.706228	1,657	12,588	5.202173	0.154496	0.048028	0.090719	0.020882	0.879118	0.869606	0.855336	0.836079	0.832715	0.807773	0.011816	0.186527	12,588	242	249	52.016529	0.82998	0.609152	0	0.033333	0	0	0.397198	0.060776	0	0	0.004132	0	1	0.1	false	0	0.116667	0	0.233333	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
767521edf225f181c6ceeecea951e600bdc68816	59	py	Python	tests/benchmark/inhib_diameter_modes/count/__init__.py	mpascucci/AST-image-processing	54111e874237f0c146760d514eea96131177878a	[ "ECL-2.0", "Apache-2.0" ]	6	2020-11-24T15:55:35.000Z	2021-12-31T11:52:56.000Z	tests/benchmark/inhib_diameter_modes/count/__init__.py	mpascucci/AST-image-processing	54111e874237f0c146760d514eea96131177878a	[ "ECL-2.0", "Apache-2.0" ]	1	2020-11-24T15:46:15.000Z	2020-11-24T15:46:15.000Z	tests/benchmark/inhib_diameter_modes/count/__init__.py	mpascucci/AST-image-processing	54111e874237f0c146760d514eea96131177878a	[ "ECL-2.0", "Apache-2.0" ]	3	2021-02-04T10:08:43.000Z	2022-02-21T02:00:47.000Z	from .count import measureOneDiameter, _measureOneDiameter	29.5	58	0.881356	5	59	10.2	0.8	0	0	0	0	0	0	0	0	0	0	0.084746	59	1	59	59	0.944444	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
76856196feab4cff6fb779737be6c0c758c40a55	176	py	Python	zemfrog_auth/jwt/routes.py	zemfrog/zemfrog-auth	c20f9d803691c1a37bc623fe20620e67aa8ff25f	[ "MIT" ]	null	null	null	zemfrog_auth/jwt/routes.py	zemfrog/zemfrog-auth	c20f9d803691c1a37bc623fe20620e67aa8ff25f	[ "MIT" ]	null	null	null	zemfrog_auth/jwt/routes.py	zemfrog/zemfrog-auth	c20f9d803691c1a37bc623fe20620e67aa8ff25f	[ "MIT" ]	null	null	null	from flask_smorest import Blueprint def init_blueprint(): blueprint = Blueprint("jwt", __name__, url_prefix="/jwt", description="JWT Authentication") return blueprint	29.333333	95	0.761364	20	176	6.35	0.7	0.283465	0	0	0	0	0	0	0	0	0	0.136364	176	5	96	35.2	0.835526	0	0	0	0	0	0.142045	0	0	0	0	0	1	0.25	false	0	0.25	0	0.75	1	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	1	6
769ee5d42a1735269b5d705e038277f9d082db51	5,577	py	Python	tests/query_test.py	ZachOrr/google-cloud-datastore-stub	ca1ef73a0a84fa5de3e3defcbfecbf6c9889d18e	[ "MIT" ]	null	null	null	tests/query_test.py	ZachOrr/google-cloud-datastore-stub	ca1ef73a0a84fa5de3e3defcbfecbf6c9889d18e	[ "MIT" ]	null	null	null	tests/query_test.py	ZachOrr/google-cloud-datastore-stub	ca1ef73a0a84fa5de3e3defcbfecbf6c9889d18e	[ "MIT" ]	null	null	null	from InMemoryCloudDatastoreStub import datastore_stub from tests.models import SimpleModel def test_get_nonexistent_key() -> None: model = SimpleModel.get_by_id("notfound") assert model is None def test_get_existing_by_id(ndb_stub: datastore_stub.LocalDatastoreStub) -> None: model = SimpleModel(id="test...	32.614035	84	0.71759	784	5,577	4.797194	0.102041	0.059559	0.064345	0.095719	0.889125	0.860409	0.833821	0.813082	0.786493	0.786493	0.02009	0.161018	5,577	170	85	32.805882	0.783714	0.048234	0	0.588235	0	0	0.039977	0	0	0	0	0.176471	1	0.134454	false	0	0.016807	0	0.151261	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
4f6653d8af21210ef5459432646856c18927dca4	102	py	Python	pommerman/envs/__init__.py	cinjon/playground	ad9ec58b2157fa6102636e7f61ef9a712c507a90	[ "Apache-2.0" ]	1	2019-01-04T13:36:04.000Z	2019-01-04T13:36:04.000Z	pommerman/envs/__init__.py	cinjon/playground	ad9ec58b2157fa6102636e7f61ef9a712c507a90	[ "Apache-2.0" ]	null	null	null	pommerman/envs/__init__.py	cinjon/playground	ad9ec58b2157fa6102636e7f61ef9a712c507a90	[ "Apache-2.0" ]	1	2018-03-21T15:21:52.000Z	2018-03-21T15:21:52.000Z	from . import v0 from . import v1 from . import v2 from . import v3 from . import v4 from . import v5	14.571429	16	0.705882	18	102	4	0.444444	0.833333	0	0	0	0	0	0	0	0	0.076923	0.235294	102	6	17	17	0.846154	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
4f742509647144cd7a570ea9a961d6cea10f0006	2,056	py	Python	clare/clare/models/tests/test_hit_points_changed_record.py	dnguyen0304/room-list-watcher	7ac4d5172de22dd8906662da521995c8e06c2617	[ "MIT" ]	null	null	null	clare/clare/models/tests/test_hit_points_changed_record.py	dnguyen0304/room-list-watcher	7ac4d5172de22dd8906662da521995c8e06c2617	[ "MIT" ]	null	null	null	clare/clare/models/tests/test_hit_points_changed_record.py	dnguyen0304/room-list-watcher	7ac4d5172de22dd8906662da521995c8e06c2617	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- from nose.tools import assert_equal, assert_true, raises from .. import HitPointsChangedRecord class TestHitPointsChangedRecord(object): def test_from_message(self): message = '\|-damage\|p1a: eggs\|10\/100' record = HitPointsChangedRecord.from_message(message) asse...	40.313725	75	0.719358	242	2,056	5.797521	0.227273	0.125445	0.181753	0.17819	0.746971	0.732716	0.732716	0.632217	0.632217	0.632217	0.024434	0.183852	2,056	50	76	41.12	0.811681	0.010214	0	0.538462	0	0	0.100836	0	0	0	0	0.461538	1	0.153846	false	0	0.051282	0	0.230769	0	0	0	0	null	0	1	1	0	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	6
4f77cf816350809d720a79993817da9d4dada788	328	py	Python	simulator/container/DiskModels/DMConstant.py	BirgittM/COSCO-1	2140b3d9fa2d5a8027a0d062fdcf0ff952f65b0f	[ "BSD-3-Clause" ]	20	2020-11-17T17:44:41.000Z	2022-03-30T19:35:53.000Z	simulator/container/DiskModels/DMConstant.py	imperial-qore/CAROL	57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9	[ "BSD-3-Clause" ]	6	2021-06-04T18:06:17.000Z	2022-03-10T14:16:46.000Z	simulator/container/DiskModels/DMConstant.py	imperial-qore/CAROL	57dc42c4ddeb9e75eed43a91ceb336a1ecc9c8b9	[ "BSD-3-Clause" ]	12	2020-12-28T17:59:12.000Z	2022-03-29T06:07:35.000Z	from .DM import * class DMConstant(DM): def __init__(self, constant_size, constant_read, constant_write): super().__init__() self.constant_size = constant_size self.constant_read = constant_read self.constant_write = constant_write def disk(self): return self.constant_size, self.constant_read, self.consta...	29.818182	68	0.786585	45	328	5.288889	0.333333	0.352941	0.201681	0.168067	0.630252	0	0	0	0	0	0	0.121951	328	11	68	29.818182	0.826389	0	0	0	0	0	0	0	0	0	0	0	1	0.222222	false	0	0.111111	0.111111	0.555556	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
4fecb45b252694d0d09a25a288ba5c402daa1c3c	90	py	Python	frappe/patches/v12_0/delete_feedback_request_if_exists.py	oryxsolutions/frappe	d193ea22d17ca40d57432040a8afad72287d9e23	[ "MIT" ]	null	null	null	frappe/patches/v12_0/delete_feedback_request_if_exists.py	oryxsolutions/frappe	d193ea22d17ca40d57432040a8afad72287d9e23	[ "MIT" ]	null	null	null	frappe/patches/v12_0/delete_feedback_request_if_exists.py	oryxsolutions/frappe	d193ea22d17ca40d57432040a8afad72287d9e23	[ "MIT" ]	null	null	null	import frappe def execute(): frappe.db.delete("DocType", {"name": "Feedback Request"})	15	58	0.688889	11	90	5.636364	0.909091	0	0	0	0	0	0	0	0	0	0	0.122222	90	5	59	18	0.78481	0	0	0	0	0	0.3	0	0	0	0	0	1	0.333333	true	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	1	0	6
8ca209b7d987fbe7288308ab6182f4dd01ce50af	18,652	py	Python	halotools/mock_observables/pairwise_velocities/tests/test_mean_los_velocity_vs_rp.py	pllim/halotools	6499cff09e7e0f169e4f425ee265403f6be816e8	[ "BSD-3-Clause" ]	83	2015-01-15T14:54:16.000Z	2021-12-09T11:28:02.000Z	halotools/mock_observables/pairwise_velocities/tests/test_mean_los_velocity_vs_rp.py	pllim/halotools	6499cff09e7e0f169e4f425ee265403f6be816e8	[ "BSD-3-Clause" ]	579	2015-01-14T15:57:37.000Z	2022-01-13T18:58:44.000Z	halotools/mock_observables/pairwise_velocities/tests/test_mean_los_velocity_vs_rp.py	pllim/halotools	6499cff09e7e0f169e4f425ee265403f6be816e8	[ "BSD-3-Clause" ]	70	2015-01-14T15:15:58.000Z	2021-12-22T18:18:31.000Z	""" """ from __future__ import absolute_import, division, print_function import numpy as np import pytest from astropy.utils.misc import NumpyRNGContext from ..mean_los_velocity_vs_rp import mean_los_velocity_vs_rp from ...tests.cf_helpers import generate_locus_of_3d_points __all__ = ('test_mean_los_velocity_vs_rp_co...	40.285097	100	0.684109	2,864	18,652	4.294344	0.089385	0.039028	0.062444	0.063582	0.893569	0.878201	0.855761	0.831206	0.804618	0.790146	0.072896	0.204214	18,652	462	101	40.372294	0.75571	0.289888	0	0.613546	0	0	0.022936	0.022936	0	0	0	0.191235	1	0.035857	false	0	0.023904	0	0.067729	0.003984	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
8cd4e16fc08892257b3c24ac5f62710515066e27	67	py	Python	visualize/__init__.py	twooopark/analysis_fb	4e23d691b4628ecd99d8eb5c88a6ac7d94e84bf8	[ "MIT" ]	null	null	null	visualize/__init__.py	twooopark/analysis_fb	4e23d691b4628ecd99d8eb5c88a6ac7d94e84bf8	[ "MIT" ]	null	null	null	visualize/__init__.py	twooopark/analysis_fb	4e23d691b4628ecd99d8eb5c88a6ac7d94e84bf8	[ "MIT" ]	null	null	null	from .visualizer import wordcloud from .visualizer import graph_bar	33.5	33	0.865672	9	67	6.333333	0.666667	0.491228	0.701754	0	0	0	0	0	0	0	0	0.104478	67	2	34	33.5	0.95	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
508db6f105490dbbd8c7a483b6dfaf5bb6f73ca3	95	py	Python	ex2/accounts/__init__.py	hentt30/lab7-ces22	d6e2f67897acc8ba723dbb6d6ad38dd15d7873ad	[ "MIT" ]	null	null	null	ex2/accounts/__init__.py	hentt30/lab7-ces22	d6e2f67897acc8ba723dbb6d6ad38dd15d7873ad	[ "MIT" ]	null	null	null	ex2/accounts/__init__.py	hentt30/lab7-ces22	d6e2f67897acc8ba723dbb6d6ad38dd15d7873ad	[ "MIT" ]	null	null	null	""" Init accounts module """ from .account import Account from .bank_account import BankAccount	19	37	0.789474	12	95	6.166667	0.666667	0.351351	0	0	0	0	0	0	0	0	0	0.126316	95	5	37	19	0.891566	0.210526	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
50b0411f980d149ba813b647a2aa61d5752ed48b	4,268	py	Python	tests/test_cells.py	robocorp/jupytext	57c011db9055242bb59ca9dd1ee5ca4f7fab752b	[ "MIT" ]	1	2021-12-27T16:26:14.000Z	2021-12-27T16:26:14.000Z	tests/test_cells.py	huangyingw/mwouts_jupytext	b72d03f39920333eb312d675a1ecd0fa7c2b549f	[ "MIT" ]	null	null	null	tests/test_cells.py	huangyingw/mwouts_jupytext	b72d03f39920333eb312d675a1ecd0fa7c2b549f	[ "MIT" ]	null	null	null	import pytest from nbformat.v4.nbbase import new_markdown_cell from jupytext.cell_reader import ( RMarkdownCellReader, LightScriptCellReader, uncomment, paragraph_is_fully_commented, ) from jupytext.cell_to_text import RMarkdownCellExporter @pytest.mark.parametrize( "lines", [ "# text"...	22.702128	83	0.622071	528	4,268	4.835227	0.119318	0.117509	0.074422	0.09009	0.807677	0.764199	0.745006	0.745006	0.721504	0.721504	0.012286	0.218135	4,268	187	84	22.823529	0.752772	0	0	0.664384	0	0	0.156886	0	0	0	0	0.308219	1	0.09589	false	0	0.027397	0	0.136986	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
50b0423a842a13e9b53ee442e431ac19596cbee7	152	py	Python	exchange/urls.py	VorojeikinRustem/inn-exchange	e7cdc050ea64e522f8b8f2fa1c530f1028a50568	[ "MIT" ]	null	null	null	exchange/urls.py	VorojeikinRustem/inn-exchange	e7cdc050ea64e522f8b8f2fa1c530f1028a50568	[ "MIT" ]	null	null	null	exchange/urls.py	VorojeikinRustem/inn-exchange	e7cdc050ea64e522f8b8f2fa1c530f1028a50568	[ "MIT" ]	null	null	null	from django.urls import path from .views import make_exchange_great_again urlpatterns = [ path('', make_exchange_great_again, name="exchange") ]	16.888889	56	0.763158	20	152	5.5	0.6	0.218182	0.309091	0.4	0	0	0	0	0	0	0	0.144737	152	8	57	19	0.846154	0	0	0	0	0	0.052632	0	0	0	0	0	1	0	false	0	0.4	0	0.4	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
50c548cee013b9c8182063fc550b6e76b7c1e24d	40	py	Python	powerline_vcsh/__init__.py	taintedkernel/powerline-vcsh	29b6bc85e0b613c3c605f8a2a5b02b981cd2136a	[ "MIT" ]	null	null	null	powerline_vcsh/__init__.py	taintedkernel/powerline-vcsh	29b6bc85e0b613c3c605f8a2a5b02b981cd2136a	[ "MIT" ]	null	null	null	powerline_vcsh/__init__.py	taintedkernel/powerline-vcsh	29b6bc85e0b613c3c605f8a2a5b02b981cd2136a	[ "MIT" ]	null	null	null	from .segments import vcsh_repo # noqa	20	39	0.775	6	40	5	1	0	0	0	0	0	0	0	0	0	0	0.175	40	1	40	40	0.909091	0.1	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
e86392807f244f1a418b90313571a0ae9c4da0a7	2,795	py	Python	tests/flow/tests_sanitizer.py	matipan/RedisAI	84a1dac3893eb1d33e2bdcf3f71398f521ca461c	[ "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]	652	2019-02-09T08:22:31.000Z	2022-03-31T18:29:46.000Z	tests/flow/tests_sanitizer.py	matipan/RedisAI	84a1dac3893eb1d33e2bdcf3f71398f521ca461c	[ "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]	704	2019-01-15T19:59:24.000Z	2022-03-27T12:17:39.000Z	tests/flow/tests_sanitizer.py	matipan/RedisAI	84a1dac3893eb1d33e2bdcf3f71398f521ca461c	[ "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]	84	2019-02-02T19:13:23.000Z	2022-03-29T06:43:30.000Z	import redis from functools import wraps import multiprocessing as mp from includes import * ''' python -m RLTest --test tests_sanitizer.py --module path/to/redisai.so ''' def test_sanitizer_dagrun_mobilenet_v1(env): if (not TEST_TF or not TEST_PT): return con = get_connection(env, '{s}') mem_all...	34.085366	91	0.581038	354	2,795	4.381356	0.276836	0.063185	0.05029	0.077369	0.8343	0.8343	0.81109	0.764668	0.764668	0.718246	0.025	0.284436	2,795	81	92	34.506173	0.7505	0	0	0.596774	0	0	0.183658	0	0	0	0	0.112903	1	0.032258	false	0	0.064516	0	0.16129	0.032258	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
e8b41a704c25deff4fc1f03667fac28f1e6e3ad8	67,367	py	Python	servicemesh-20200111/python/alibabacloud_servicemesh20200111/models.py	atptro/alibabacloud-sdk	65d4a000e4f4059b58ca1bc3d032853aedef4f3f	[ "Apache-2.0" ]	null	null	null	servicemesh-20200111/python/alibabacloud_servicemesh20200111/models.py	atptro/alibabacloud-sdk	65d4a000e4f4059b58ca1bc3d032853aedef4f3f	[ "Apache-2.0" ]	null	null	null	servicemesh-20200111/python/alibabacloud_servicemesh20200111/models.py	atptro/alibabacloud-sdk	65d4a000e4f4059b58ca1bc3d032853aedef4f3f	[ "Apache-2.0" ]	null	null	null	# This file is auto-generated, don't edit it. Thanks. from Tea.model import TeaModel class RemoveClusterFromServiceMeshRequest(TeaModel): def __init__(self, service_mesh_id=None, cluster_id=None): self.service_mesh_id = service_mesh_id self.cluster_id = cluster_id def validate(self): ...	36.35564	400	0.656152	7,711	67,367	5.45688	0.03281	0.029089	0.071296	0.085555	0.797519	0.770949	0.732544	0.705975	0.676149	0.656305	0.000942	0.243547	67,367	1,852	401	36.37527	0.824765	0.000757	0	0.789747	1	0	0.100648	0.015925	0	0	0	0	1	0.160934	false	0.006489	0.000649	0.000649	0.282284	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	1	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
2cf5fbb6ef26ec5dc5b81f1d3b745652bf6098ef	96	py	Python	venv/lib/python3.8/site-packages/numpy/core/tests/test_cpu_dispatcher.py	Retraces/UkraineBot	3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71	[ "MIT" ]	2	2022-03-13T01:58:52.000Z	2022-03-31T06:07:54.000Z	venv/lib/python3.8/site-packages/numpy/core/tests/test_cpu_dispatcher.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	19	2021-11-20T04:09:18.000Z	2022-03-23T15:05:55.000Z	venv/lib/python3.8/site-packages/numpy/core/tests/test_cpu_dispatcher.py	DesmoSearch/Desmobot	b70b45df3485351f471080deb5c785c4bc5c4beb	[ "MIT" ]	null	null	null	/home/runner/.cache/pip/pool/26/66/07/c8179d5cdbbca4f80609e80fe22b7a517634b227d6e048dd33d0b47fc3	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	0	1	0	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	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	6
fa3634f4950f7fa66e104ec36148b2c845a34cfa	260	py	Python	Mundo 3/ex108/moeda.py	RafaelSdm/Curso-de-Python	ae933ba80ee00ad5160bd5d05cf4b21007943fd4	[ "MIT" ]	1	2021-03-10T21:53:38.000Z	2021-03-10T21:53:38.000Z	Mundo 3/ex108/moeda.py	RafaelSdm/Curso-de-Python	ae933ba80ee00ad5160bd5d05cf4b21007943fd4	[ "MIT" ]	null	null	null	Mundo 3/ex108/moeda.py	RafaelSdm/Curso-de-Python	ae933ba80ee00ad5160bd5d05cf4b21007943fd4	[ "MIT" ]	null	null	null	def dobro(num): return num * 2 def metade(num): return num / 2 def porcentagem(num): return num + (num * 10/100) def reduzindo(num): return num - (num * 13/100) def moeda(num,moeda='R$'): return f"{moeda}{num:.2f}".replace('.',',')	16.25	47	0.576923	39	260	3.846154	0.410256	0.24	0.32	0.173333	0.213333	0	0	0	0	0	0.065	0.230769	260	16	47	16.25	0.685	0	0	0	0	0	0.076628	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
fa37d21c2d250633e75b297b62249d49e6aad335	94	py	Python	sails/ui/sun/vox/sunvoxmainmenubar.py	metrasynth/solar-sails	3a10774dad29d85834d3acb38171741b3a11ef91	[ "MIT" ]	6	2016-11-22T14:32:55.000Z	2021-08-15T01:35:33.000Z	sails/ui/sun/vox/sunvoxmainmenubar.py	metrasynth/s4ils	efc061993d15ebe662b72ab8b3127f7f7ce2f66b	[ "MIT" ]	2	2022-03-18T16:47:43.000Z	2022-03-18T16:47:44.000Z	sails/ui/sun/vox/sunvoxmainmenubar.py	metrasynth/s4ils	efc061993d15ebe662b72ab8b3127f7f7ce2f66b	[ "MIT" ]	2	2019-07-09T23:44:08.000Z	2021-08-15T01:35:37.000Z	from sails.ui.mainmenubar import MainMenuBar class SunVoxMainMenuBar(MainMenuBar): pass	15.666667	44	0.808511	10	94	7.6	0.8	0	0	0	0	0	0	0	0	0	0	0.138298	94	5	45	18.8	0.938272	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
fa53a4510b22e9d5daa5b9cf99d5ac372dfc815c	257,365	py	Python	instances/passenger_demand/pas-20210422-1717-int8e-1/8.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210422-1717-int8e-1/8.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210422-1717-int8e-1/8.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	""" PASSENGERS """ numPassengers = 15400 passenger_arriving = ( (3, 4, 3, 0, 2, 0, 5, 0, 5, 1, 1, 0, 0, 10, 5, 3, 4, 2, 3, 3, 0, 1, 0, 2, 1, 0), # 0 (4, 2, 1, 1, 1, 2, 2, 2, 0, 0, 0, 1, 0, 3, 4, 5, 2, 1, 3, 4, 1, 1, 2, 0, 1, 0), # 1 (3, 7, 2, 4, 3, 2, 3, 1, 1, 0, 0, 0, 0, 1, 2, 7, 2, 2, 1, 5, 1, 2, 2, 2, 0, 0),...	275.256684	493	0.768718	32,987	257,365	5.997211	0.212417	0.360309	0.345751	0.655108	0.381039	0.372749	0.368033	0.365991	0.365779	0.365779	0.849203	0.096105	257,365	934	494	275.551392	0.001199	0.015585	0	0.200873	0	0	0	0	0	0	0	0	1	0	false	0.005459	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	1	1	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
d75ab703b00da5dfab2b7aaa63bbb8f40017cfb0	19	py	Python	timefred/integration/__init__.py	giladbarnea/timefred	36cc8b0f09d38c0ed7b3e659ce337a75cd8b0c60	[ "MIT" ]	null	null	null	timefred/integration/__init__.py	giladbarnea/timefred	36cc8b0f09d38c0ed7b3e659ce337a75cd8b0c60	[ "MIT" ]	null	null	null	timefred/integration/__init__.py	giladbarnea/timefred	36cc8b0f09d38c0ed7b3e659ce337a75cd8b0c60	[ "MIT" ]	null	null	null	from . import jira	9.5	18	0.736842	3	19	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.210526	19	1	19	19	0.933333	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ad08c9ea506a4fd543d1213f16eaef5e6cde8d85	29	py	Python	m2aligndataextractor/__init__.py	mglezsosa/M2AlignDataExtractor	0643a91227df8d4be03d4359ef06181b780a2802	[ "MIT" ]	null	null	null	m2aligndataextractor/__init__.py	mglezsosa/M2AlignDataExtractor	0643a91227df8d4be03d4359ef06181b780a2802	[ "MIT" ]	null	null	null	m2aligndataextractor/__init__.py	mglezsosa/M2AlignDataExtractor	0643a91227df8d4be03d4359ef06181b780a2802	[ "MIT" ]	null	null	null	from .DataExtractor import *	14.5	28	0.793103	3	29	7.666667	1	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.92	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ad21fc079d92a02acdc453f38069080b57f1e6b2	5,433	py	Python	ae_utils.py	xmyhhh/SLAESR	c631eb6cd939c8933e41ed0e1e12c73736777485	[ "MIT" ]	null	null	null	ae_utils.py	xmyhhh/SLAESR	c631eb6cd939c8933e41ed0e1e12c73736777485	[ "MIT" ]	null	null	null	ae_utils.py	xmyhhh/SLAESR	c631eb6cd939c8933e41ed0e1e12c73736777485	[ "MIT" ]	1	2020-12-07T05:01:18.000Z	2020-12-07T05:01:18.000Z	from model_utils_torch import * import imageio def im_arr_to_tensor(arr, low=-1., high=1.): arr = np.asarray(arr, np.float32) arr = (arr / 255.) * (high - low) + low arr = np.transpose(arr, [0, 3, 1, 2]) arr = torch.tensor(arr) return arr def tensor_to_im_arr(t: torch.Tensor, low=-1., high=1.): ...	28.746032	110	0.540769	869	5,433	3.243959	0.120829	0.049663	0.025541	0.009933	0.779709	0.754878	0.754878	0.748138	0.748138	0.748138	0.050794	0.293392	5,433	188	111	28.898936	0.683511	0.083563	0	0.75	0	0	0	0	0	0	0	0	1	0.068966	false	0	0.017241	0	0.12931	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ad44afc2d29cde95e189a372168ec73efb97181b	7,920	py	Python	tests/test_marshmallow.py	Narodni-repozitar/nr-events	c0354dee10cbec18383db24b245bafbd3fdd36ad	[ "MIT" ]	null	null	null	tests/test_marshmallow.py	Narodni-repozitar/nr-events	c0354dee10cbec18383db24b245bafbd3fdd36ad	[ "MIT" ]	null	null	null	tests/test_marshmallow.py	Narodni-repozitar/nr-events	c0354dee10cbec18383db24b245bafbd3fdd36ad	[ "MIT" ]	null	null	null	import pytest from marshmallow import ValidationError from nr_events.marshmallow import EventsMetadataSchemaV1 class TestNameOriginal: def test_name_original_1(self, app, db, taxonomy_tree, base_json, base_json_dereferenced, base_event, base_event_dereferenced): content = "Če...	39.014778	95	0.563131	773	7,920	5.490298	0.108668	0.141376	0.164939	0.122526	0.911169	0.911169	0.911169	0.911169	0.911169	0.911169	0.033546	0.326263	7,920	202	96	39.207921	0.761807	0.003535	0	0.663043	0	0.032609	0.140195	0.005324	0	0	0	0.027174	1	0.054348	false	0	0.016304	0	0.097826	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ad46fa3416eb8c11ddd78e205912589723917fb5	39	py	Python	Riolu/demo.py	albarah1/Riolu	ec7cc1b6e936881d87495e30caeb33bd29097242	[ "MIT" ]	null	null	null	Riolu/demo.py	albarah1/Riolu	ec7cc1b6e936881d87495e30caeb33bd29097242	[ "MIT" ]	null	null	null	Riolu/demo.py	albarah1/Riolu	ec7cc1b6e936881d87495e30caeb33bd29097242	[ "MIT" ]	null	null	null	def demoprint(): print("Hello World")	19.5	21	0.692308	5	39	5.4	1	0	0	0	0	0	0	0	0	0	0	0.128205	39	2	21	19.5	0.794118	0	0	0	0	0	0.282051	0	0	0	0	0	1	0.5	true	0	0	0	0.5	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	1	6
ad5da6e132af6f6bd55c18177a2e5a9461a99895	3,717	py	Python	responsibleai/tests/counterfactual/test_counterfactual_advanced_features.py	conradmr94/responsible-ai-widgets	bc88bd164077ae43de47007885e8cbf23f7e7e9d	[ "MIT" ]	null	null	null	responsibleai/tests/counterfactual/test_counterfactual_advanced_features.py	conradmr94/responsible-ai-widgets	bc88bd164077ae43de47007885e8cbf23f7e7e9d	[ "MIT" ]	null	null	null	responsibleai/tests/counterfactual/test_counterfactual_advanced_features.py	conradmr94/responsible-ai-widgets	bc88bd164077ae43de47007885e8cbf23f7e7e9d	[ "MIT" ]	null	null	null	# Copyright (c) Microsoft Corporation # Licensed under the MIT License. import pytest from responsibleai import ModelAnalysis from ..common_utils import create_iris_data, create_lightgbm_classifier class TestCounterfactualAdvancedFeatures(object): @pytest.mark.parametrize('vary_all_features', [True, False]) ...	34.416667	71	0.645682	442	3,717	5.08371	0.178733	0.104139	0.132176	0.046729	0.764575	0.755229	0.743658	0.719626	0.719626	0.702715	0.016703	0.25908	3,717	107	72	34.738318	0.799201	0.018025	0	0.728395	0	0	0.043884	0	0	0	0	0.074074	1	0.037037	false	0	0.111111	0	0.160494	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
d1371e76b9e749c68daecaacf8f91002b28e7e2d	3,792	py	Python	duties/models.py	ycyoondev/nurse-duty	3e536430bbe17fe6f41bb1e0b96fa7579ce43185	[ "Apache-1.1" ]	null	null	null	duties/models.py	ycyoondev/nurse-duty	3e536430bbe17fe6f41bb1e0b96fa7579ce43185	[ "Apache-1.1" ]	null	null	null	duties/models.py	ycyoondev/nurse-duty	3e536430bbe17fe6f41bb1e0b96fa7579ce43185	[ "Apache-1.1" ]	null	null	null	from django.db import models from django.urls import reverse from django.conf import settings class Team(models.Model): date = models.DateField() duty = models.JSONField(blank=True, null=True) def __str__(self): return self.date class Event(models.Model): user = models.ForeignKey(settings.AU...	70.222222	166	0.284546	666	3,792	1.593093	0.100601	0.233742	0.327992	0.384543	0.563619	0.525919	0.525919	0.525919	0.525919	0.525919	0.001038	0.237605	3,792	54	167	70.222222	0.365963	0.002901	0	0.095238	0	0	0.091633	0	0	0	0	0	1	0.142857	false	0	0.142857	0.095238	0.809524	0	0	0	1	null	1	1	1	0	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	0	0	1	0	6
d147fcd75eb909f485a335ead412071c59c31347	1,099	py	Python	tests/test_get_paid_orders.py	tcosta84/python-lojaintegrada	24125eda68da601ef92a4a6f79216194e7d6379f	[ "MIT" ]	6	2020-02-29T13:49:47.000Z	2021-11-08T22:12:28.000Z	tests/test_get_paid_orders.py	tcosta84/python-lojaintegrada	24125eda68da601ef92a4a6f79216194e7d6379f	[ "MIT" ]	1	2021-06-02T00:21:34.000Z	2021-06-02T00:21:34.000Z	tests/test_get_paid_orders.py	tcosta84/python-lojaintegrada	24125eda68da601ef92a4a6f79216194e7d6379f	[ "MIT" ]	2	2020-02-29T13:49:51.000Z	2020-08-20T20:21:37.000Z	from lojaintegrada import Api def test_get_paid_orders(mocker): mock_get_orders = mocker.patch.object(Api, 'get_orders') api = Api(api_key='fake-api-key', app_key='fake-app-key') res = api.get_paid_orders() mock_get_orders.assert_called_with( limit=50, situacao_id=4 ) assert...	24.422222	61	0.700637	168	1,099	4.214286	0.190476	0.152542	0.165254	0.059322	0.894068	0.865819	0.865819	0.771186	0.771186	0.771186	0.023649	0.191993	1,099	44	62	24.977273	0.773649	0	0	0.551724	0	0	0.092812	0	0	0	0	0.206897	1	0.103448	false	0	0.034483	0	0.137931	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0f5e8642fd0ffc373333c978a4459255aa182876	13,859	py	Python	tests/test_ocsp_response_builder.py	andrea-f/ocspbuilder	d073e14ae87a1cde7c4953ee07b0bb95eb3b47ea	[ "MIT" ]	1	2019-11-30T22:41:48.000Z	2019-11-30T22:41:48.000Z	tests/test_ocsp_response_builder.py	andrea-f/ocspbuilder	d073e14ae87a1cde7c4953ee07b0bb95eb3b47ea	[ "MIT" ]	null	null	null	tests/test_ocsp_response_builder.py	andrea-f/ocspbuilder	d073e14ae87a1cde7c4953ee07b0bb95eb3b47ea	[ "MIT" ]	null	null	null	# coding: utf-8 from __future__ import unicode_literals, division, absolute_import, print_function from datetime import datetime import unittest import os import asn1crypto.x509 from oscrypto import asymmetric from asn1crypto.util import timezone from ocspbuilder import OCSPResponseBuilder from ._unittest_compat imp...	49.673835	114	0.672271	1,504	13,859	5.90492	0.09242	0.089517	0.06148	0.038509	0.892129	0.889765	0.8874	0.886499	0.871411	0.856998	0.00951	0.21091	13,859	278	115	49.852518	0.802579	0.003608	0	0.688312	0	0	0.177947	0	0	0	0	0.30303	1	0.030303	false	0.004329	0.038961	0	0.073593	0.004329	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0f74e6414fd1e4381be4af8bfa89db67ff5d88b1	36,356	py	Python	tests/test_strategies.py	jezsadler/summit	982de7f6424bb94da2084d4d84396b4b2673eeca	[ "MIT" ]	null	null	null	tests/test_strategies.py	jezsadler/summit	982de7f6424bb94da2084d4d84396b4b2673eeca	[ "MIT" ]	null	null	null	tests/test_strategies.py	jezsadler/summit	982de7f6424bb94da2084d4d84396b4b2673eeca	[ "MIT" ]	null	null	null	import pytest from summit.benchmarks import * from summit.domain import * from summit.utils.dataset import DataSet from summit.utils.multiobjective import pareto_efficient, hypervolume from summit.strategies import * import GPy from fastprogress.fastprogress import progress_bar import numpy as np import os import war...	35.469268	113	0.60807	4,496	36,356	4.759342	0.087189	0.020609	0.023554	0.015142	0.831526	0.815871	0.805309	0.777876	0.768857	0.74778	0.042548	0.279844	36,356	1,024	114	35.503906	0.774731	0.147128	0	0.680098	0	0	0.099107	0.001554	0	0	0	0.075702	1	0.025641	false	0.003663	0.014652	0	0.052503	0.032967	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
0f81f6a4675d1133814fc9464a208509607af5ac	262	py	Python	gcraft/core/__init__.py	ddomurad/gcraft	7174fcacee875fd90e8d878463108aae3c77873e	[ "MIT" ]	null	null	null	gcraft/core/__init__.py	ddomurad/gcraft	7174fcacee875fd90e8d878463108aae3c77873e	[ "MIT" ]	null	null	null	gcraft/core/__init__.py	ddomurad/gcraft	7174fcacee875fd90e8d878463108aae3c77873e	[ "MIT" ]	null	null	null	from gcraft.core.app import GCraftApp, GCraftSceneApp from gcraft.core.scene import GCraftScene, GCraftSceneManager from gcraft.core.render_buffer import RenderBuffer from gcraft.core.input_event import InputEvent from gcraft.core.input_state import InputState	37.428571	61	0.866412	35	262	6.4	0.514286	0.223214	0.3125	0.169643	0	0	0	0	0	0	0	0.087786	262	6	62	43.666667	0.937238	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
7e7e9df7775a69910ce2d49765e378fd723339b4	4,610	py	Python	tests/test_all_bert_models.py	Hugging-Face-Supporter/TFTokenizers	8b914f75dbbd4f585ecba263c88670ce37ac685a	[ "Apache-2.0" ]	1	2022-01-19T14:47:36.000Z	2022-01-19T14:47:36.000Z	tests/test_all_bert_models.py	Hugging-Face-Supporter/TFTokenizers	8b914f75dbbd4f585ecba263c88670ce37ac685a	[ "Apache-2.0" ]	16	2022-01-11T19:22:21.000Z	2022-01-21T00:25:11.000Z	tests/test_all_bert_models.py	Hugging-Face-Supporter/tftokenizers	8b914f75dbbd4f585ecba263c88670ce37ac685a	[ "Apache-2.0" ]	3	2022-01-22T16:00:03.000Z	2022-01-25T20:08:12.000Z	import numpy as np import pytest import tensorflow as tf import tensorflow_text as text from tftokenizers.tokenizer import compare_tokenizers s1 = "sponge bob squarepants is an avenger" s2 = "Huggingface to Tensorflow tokenizers" s3 = "HelLo!" swe = "Pippi Långstrump, en karaktär skapad av Astrid Lindgren" def test...	33.897059	84	0.686768	612	4,610	4.839869	0.138889	0.131668	0.166779	0.166779	0.793045	0.781567	0.754558	0.754558	0.738352	0.703579	0.014088	0.168547	4,610	135	85	34.148148	0.758675	0.312364	0	0.486111	0	0	0.216821	0.055005	0	0	0	0.125	1	0.125	false	0	0.069444	0	0.194444	0	0	0	0	null	0	0	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7e976d74e7c2def3828e42ee80f42184944cf449	69	py	Python	pydrawing/modules/beautifiers/nostalgicstyle/__init__.py	CharlesPikachu/pydrawing	be95378a5667ea345f2a3760f8814dff255ebe15	[ "MIT" ]	93	2022-01-18T01:42:58.000Z	2022-03-18T18:42:55.000Z	pydrawing/modules/beautifiers/nostalgicstyle/__init__.py	CharlesPikachu/pydrawing	be95378a5667ea345f2a3760f8814dff255ebe15	[ "MIT" ]	null	null	null	pydrawing/modules/beautifiers/nostalgicstyle/__init__.py	CharlesPikachu/pydrawing	be95378a5667ea345f2a3760f8814dff255ebe15	[ "MIT" ]	1	2022-02-17T04:36:17.000Z	2022-02-17T04:36:17.000Z	'''initialize''' from .nostalgicstyle import NostalgicstyleBeautifier	34.5	52	0.84058	5	69	11.6	1	0	0	0	0	0	0	0	0	0	0	0.057971	69	2	52	34.5	0.892308	0.144928	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
7ec797700ae6d5a4fc772963be67776146a5c92f	38	py	Python	commands/project/__init__.py	razaibi/eksmash	3aa6f8476a39cf447ed3f2b17769bfea98775001	[ "Apache-2.0" ]	null	null	null	commands/project/__init__.py	razaibi/eksmash	3aa6f8476a39cf447ed3f2b17769bfea98775001	[ "Apache-2.0" ]	null	null	null	commands/project/__init__.py	razaibi/eksmash	3aa6f8476a39cf447ed3f2b17769bfea98775001	[ "Apache-2.0" ]	null	null	null	from commands.project.manager import *	38	38	0.842105	5	38	6.4	1	0	0	0	0	0	0	0	0	0	0	0.078947	38	1	38	38	0.914286	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
7d18d9f6040b9112e8c5bd48bd6fac5304341ef8	5,461	py	Python	nebula/tests/test_config_default.py	threathunterX/nebula_web	2e32e6e7b225e0bd87ee8c847c22862f12c51bb1	[ "Apache-2.0" ]	2	2019-05-01T09:42:32.000Z	2019-05-31T01:08:37.000Z	nebula/tests/test_config_default.py	threathunterX/nebula_web	2e32e6e7b225e0bd87ee8c847c22862f12c51bb1	[ "Apache-2.0" ]	1	2021-06-01T23:30:04.000Z	2021-06-01T23:30:04.000Z	nebula/tests/test_config_default.py	threathunterX/nebula_web	2e32e6e7b225e0bd87ee8c847c22862f12c51bb1	[ "Apache-2.0" ]	5	2019-05-14T09:30:12.000Z	2020-09-29T04:57:26.000Z	#!/usr/bin/env python # -- coding: utf-8 -- import json from sqlalchemy.orm import sessionmaker from nebula.views import config_default from nebula.dao.config_dao import ConfigDefaultDao from base import WebTestCase, wsgi_safe, Auth_Code configs = [ { "last_modified": 1497421508806, "value": "di...	34.13125	87	0.634499	626	5,461	5.413738	0.138978	0.110652	0.084981	0.053113	0.79758	0.769253	0.766893	0.740336	0.727648	0.727648	0.007944	0.216261	5,461	159	88	34.345912	0.783879	0.017945	0	0.704918	0	0	0.10541	0.05056	0	0	0	0.204918	1	0.147541	false	0	0.040984	0.02459	0.237705	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7d3d16bd694a90e5fb4b2b4bde31087a8b55d6b1	100	py	Python	accounts/views.py	ganeshappikatla/django-sample	367f052015126a2b6e437fd4f68f9e5f129cbf82	[ "Apache-2.0" ]	null	null	null	accounts/views.py	ganeshappikatla/django-sample	367f052015126a2b6e437fd4f68f9e5f129cbf82	[ "Apache-2.0" ]	null	null	null	accounts/views.py	ganeshappikatla/django-sample	367f052015126a2b6e437fd4f68f9e5f129cbf82	[ "Apache-2.0" ]	null	null	null	from django.shortcuts import render # Create your views here. def register(request): pass	11.111111	35	0.72	13	100	5.538462	1	0	0	0	0	0	0	0	0	0	0	0.22	100	8	36	12.5	0.923077	0.23	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	1	0	1	0	6
addc8f2bb885a3c874ffe56df8b313461f93861b	4,140	py	Python	output/models/nist_data/list_pkg/nmtokens/schema_instance/nistschema_sv_iv_list_nmtokens_enumeration_3_xsd/nistschema_sv_iv_list_nmtokens_enumeration_3.py	tefra/xsdata-w3c-tests	b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f	[ "MIT" ]	1	2021-08-14T17:59:21.000Z	2021-08-14T17:59:21.000Z	output/models/nist_data/list_pkg/nmtokens/schema_instance/nistschema_sv_iv_list_nmtokens_enumeration_3_xsd/nistschema_sv_iv_list_nmtokens_enumeration_3.py	tefra/xsdata-w3c-tests	b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f	[ "MIT" ]	4	2020-02-12T21:30:44.000Z	2020-04-15T20:06:46.000Z	output/models/nist_data/list_pkg/nmtokens/schema_instance/nistschema_sv_iv_list_nmtokens_enumeration_3_xsd/nistschema_sv_iv_list_nmtokens_enumeration_3.py	tefra/xsdata-w3c-tests	b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f	[ "MIT" ]	null	null	null	from dataclasses import dataclass, field from enum import Enum from typing import Optional __NAMESPACE__ = "NISTSchema-SV-IV-list-NMTOKENS-enumeration-3-NS" class NistschemaSvIvListNmtokensEnumeration3Type(Enum): IM_D_NIST_NAVAL_APPROPRIATE_AND_THESE_REVOLUTION_MANIPULATE_COMMERCE_APPLICATIONS_TH_AND_TEST_THE_RE...	53.766234	331	0.738647	499	4,140	5.587174	0.354709	0.015782	0.015065	0.019369	0.890961	0.890961	0.890961	0.877331	0.877331	0.842181	0.00177	0.181401	4,140	76	332	54.473684	0.820891	0	0	0	0	0	0.366184	0.339614	0	0	0	0	1	0	false	0	0.042857	0	0.185714	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
bc2fa0728d3cfc7d31d0a737cd2e5e2fdd300258	99	py	Python	gowpy/feature_extraction/gow/__init__.py	GuillaumeDD/gowpy	0f8807a9fd5e4d67539b61ccb51345f6acba904d	[ "BSD-3-Clause" ]	8	2020-05-04T15:45:32.000Z	2021-06-18T09:09:12.000Z	gowpy/feature_extraction/gow/__init__.py	GuillaumeDD/gowpy	0f8807a9fd5e4d67539b61ccb51345f6acba904d	[ "BSD-3-Clause" ]	null	null	null	gowpy/feature_extraction/gow/__init__.py	GuillaumeDD/gowpy	0f8807a9fd5e4d67539b61ccb51345f6acba904d	[ "BSD-3-Clause" ]	1	2021-01-08T18:12:33.000Z	2021-01-08T18:12:33.000Z	from .gow_vectorizer import GoWVectorizer from .tw_vectorizer import TwVectorizer, TwidfVectorizer	33	56	0.878788	11	99	7.727273	0.727273	0.376471	0	0	0	0	0	0	0	0	0	0.090909	99	2	57	49.5	0.944444	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cb5040c8e11fffc945ba3d610fda3efe68ef2989	98	py	Python	tutorial/static/code-snippets/detection_model_predictions_raw.py	yolande-prog/pytorch-for-information-extraction	caa3c4d9b3f3a0ddc329819c5638826810c717ec	[ "MIT" ]	5	2020-11-19T14:18:39.000Z	2022-03-10T11:29:06.000Z	tutorial/static/code-snippets/detection_model_predictions_raw.py	yolande-prog/pytorch-for-information-extraction	caa3c4d9b3f3a0ddc329819c5638826810c717ec	[ "MIT" ]	2	2021-04-29T11:33:24.000Z	2021-05-18T07:44:20.000Z	tutorial/static/code-snippets/detection_model_predictions_raw.py	yolande-prog/pytorch-for-information-extraction	caa3c4d9b3f3a0ddc329819c5638826810c717ec	[ "MIT" ]	2	2020-12-18T21:43:05.000Z	2021-07-03T22:09:49.000Z	print(detection_predictions[0]['labels'].size()[0], 'objects detected !') detection_predictions[0]	49	73	0.765306	12	98	6.083333	0.666667	0.547945	0.575342	0	0	0	0	0	0	0	0.031915	0.040816	98	2	74	49	0.744681	0	0	0	0	0	0.242424	0	0	0	0	0	1	0	true	0	0	0	0	0.5	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	6
cb7453fa7c20dfa72320fa76a4c1e41231b0615b	53	py	Python	nutrient/commands.py	stefan-wolfsheimer/nutrient	5d55c3a0bac7c19aa991c7580932b17c64ebb2b3	[ "MIT" ]	null	null	null	nutrient/commands.py	stefan-wolfsheimer/nutrient	5d55c3a0bac7c19aa991c7580932b17c64ebb2b3	[ "MIT" ]	null	null	null	nutrient/commands.py	stefan-wolfsheimer/nutrient	5d55c3a0bac7c19aa991c7580932b17c64ebb2b3	[ "MIT" ]	null	null	null	import cliapp class List(cliapp.Command): pass	8.833333	27	0.716981	7	53	5.428571	0.857143	0	0	0	0	0	0	0	0	0	0	0.207547	53	5	28	10.6	0.904762	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
cb75f3234a3ff68878d3c2d8ce101f0403bd2b35	3,912	py	Python	generators/bkggen.py	gauravmm/gauravmanek.com	3c54ba8719cc7332ec0bad68cb5ce85fd246cdf6	[ "MIT" ]	null	null	null	generators/bkggen.py	gauravmm/gauravmanek.com	3c54ba8719cc7332ec0bad68cb5ce85fd246cdf6	[ "MIT" ]	null	null	null	generators/bkggen.py	gauravmm/gauravmanek.com	3c54ba8719cc7332ec0bad68cb5ce85fd246cdf6	[ "MIT" ]	null	null	null	#!/usr/bin/python3 import random import svgwrite from svgwrite import rgb def bkggen_square(name): # image size img_draw_sz = "6cm" img_cell_count = 24 img_cell_sz = 5 img_gutter_sz = 1 colors = [rgb(col, col, col) for col in [246, 248, 250, 252, 255]] dwg = svgwrite.Drawing(name, (img_draw_sz, img_draw_sz...	29.636364	160	0.697597	711	3,912	3.42616	0.147679	0.149425	0.133005	0.078818	0.809524	0.763957	0.75821	0.743842	0.734811	0.720854	0.037666	0.172035	3,912	131	161	29.862595	0.714418	0.120654	0	0.678571	0	0	0.015461	0.006126	0	0	0	0	1	0.035714	false	0	0.035714	0	0.071429	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
1ddf37d413d53c0374931a424fd8a836093b13bf	3,618	py	Python	imcsdk/mometa/bios/BiosVfConfigTDPLevel.py	ecoen66/imcsdk	b10eaa926a5ee57cea7182ae0adc8dd1c818b0ab	[ "Apache-2.0" ]	31	2016-06-14T07:23:59.000Z	2021-09-12T17:17:26.000Z	imcsdk/mometa/bios/BiosVfConfigTDPLevel.py	sthagen/imcsdk	1831eaecb5960ca03a8624b1579521749762b932	[ "Apache-2.0" ]	109	2016-05-25T03:56:56.000Z	2021-10-18T02:58:12.000Z	imcsdk/mometa/bios/BiosVfConfigTDPLevel.py	sthagen/imcsdk	1831eaecb5960ca03a8624b1579521749762b932	[ "Apache-2.0" ]	67	2016-05-17T05:53:56.000Z	2022-03-24T15:52:53.000Z	"""This module contains the general information for BiosVfConfigTDPLevel ManagedObject.""" from ...imcmo import ManagedObject from ...imccoremeta import MoPropertyMeta, MoMeta from ...imcmeta import VersionMeta class BiosVfConfigTDPLevelConsts: VP_CONFIG_TDPLEVEL_LEVEL_1 = "Level 1" VP_CONFIG_TDPLEVEL_LEVEL_...	48.24	237	0.638198	340	3,618	6.582353	0.226471	0.050045	0.125112	0.187668	0.716711	0.700626	0.700626	0.700626	0.700626	0.700626	0.02867	0.199834	3,618	74	238	48.891892	0.744387	0.033168	0	0.45283	0	0	0.258749	0.012622	0	0.009753	0	0	1	0.018868	false	0	0.056604	0	0.283019	0	0	0	0	null	0	0	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6

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