Split (1)

train · 336k rows

hexsha string	size int64	ext string	lang string	max_stars_repo_path string	max_stars_repo_name string	max_stars_repo_head_hexsha string	max_stars_repo_licenses list	max_stars_count int64	max_stars_repo_stars_event_min_datetime string	max_stars_repo_stars_event_max_datetime string	max_issues_repo_path string	max_issues_repo_name string	max_issues_repo_head_hexsha string	max_issues_repo_licenses list	max_issues_count int64	max_issues_repo_issues_event_min_datetime string	max_issues_repo_issues_event_max_datetime string	max_forks_repo_path string	max_forks_repo_name string	max_forks_repo_head_hexsha string	max_forks_repo_licenses list	max_forks_count int64	max_forks_repo_forks_event_min_datetime string	max_forks_repo_forks_event_max_datetime string	content string	avg_line_length float64	max_line_length int64	alphanum_fraction float64	qsc_code_num_words_quality_signal int64	qsc_code_num_chars_quality_signal float64	qsc_code_mean_word_length_quality_signal float64	qsc_code_frac_words_unique_quality_signal float64	qsc_code_frac_chars_top_2grams_quality_signal float64	qsc_code_frac_chars_top_3grams_quality_signal float64	qsc_code_frac_chars_top_4grams_quality_signal float64	qsc_code_frac_chars_dupe_5grams_quality_signal float64	qsc_code_frac_chars_dupe_6grams_quality_signal float64	qsc_code_frac_chars_dupe_7grams_quality_signal float64	qsc_code_frac_chars_dupe_8grams_quality_signal float64	qsc_code_frac_chars_dupe_9grams_quality_signal float64	qsc_code_frac_chars_dupe_10grams_quality_signal float64	qsc_code_frac_chars_digital_quality_signal float64	qsc_code_frac_chars_whitespace_quality_signal float64	qsc_code_size_file_byte_quality_signal float64	qsc_code_num_lines_quality_signal float64	qsc_code_num_chars_line_max_quality_signal float64	qsc_code_num_chars_line_mean_quality_signal float64	qsc_code_frac_chars_alphabet_quality_signal float64	qsc_code_frac_chars_comments_quality_signal float64	qsc_code_frac_lines_dupe_lines_quality_signal float64	qsc_code_cate_autogen_quality_signal float64	qsc_code_frac_lines_long_string_quality_signal float64	qsc_code_frac_chars_string_length_quality_signal float64	qsc_code_frac_chars_long_word_length_quality_signal float64	qsc_code_frac_lines_string_concat_quality_signal float64	qsc_code_frac_lines_prompt_comments_quality_signal float64	qsc_code_frac_lines_assert_quality_signal float64	qsc_codepython_cate_ast_quality_signal float64	qsc_codepython_frac_lines_func_ratio_quality_signal float64	qsc_codepython_cate_var_zero_quality_signal bool	qsc_codepython_frac_lines_pass_quality_signal float64	qsc_codepython_frac_lines_import_quality_signal float64	qsc_codepython_frac_lines_simplefunc_quality_signal float64	qsc_codepython_score_lines_no_logic_quality_signal float64	qsc_codepython_frac_lines_print_quality_signal float64	qsc_code_num_words int64	qsc_code_num_chars int64	qsc_code_mean_word_length int64	qsc_code_frac_words_unique null	qsc_code_frac_chars_top_2grams int64	qsc_code_frac_chars_top_3grams int64	qsc_code_frac_chars_top_4grams int64	qsc_code_frac_chars_dupe_5grams int64	qsc_code_frac_chars_dupe_6grams int64	qsc_code_frac_chars_dupe_7grams int64	qsc_code_frac_chars_dupe_8grams int64	qsc_code_frac_chars_dupe_9grams int64	qsc_code_frac_chars_dupe_10grams int64	qsc_code_frac_chars_digital int64	qsc_code_frac_chars_whitespace int64	qsc_code_num_lines int64	qsc_code_num_chars_line_max int64	qsc_code_num_chars_line_mean int64	qsc_code_frac_chars_alphabet int64	qsc_code_frac_chars_comments int64	qsc_code_frac_lines_dupe_lines int64	qsc_code_cate_autogen int64	qsc_code_frac_chars_string_length int64	qsc_code_frac_chars_long_word_length int64	qsc_code_frac_lines_string_concat null	qsc_code_frac_lines_prompt_comments int64	qsc_codepython_cate_ast int64	qsc_codepython_frac_lines_func_ratio int64	qsc_codepython_cate_var_zero int64	qsc_codepython_frac_lines_pass int64	qsc_codepython_frac_lines_import int64	qsc_codepython_frac_lines_simplefunc int64	qsc_codepython_score_lines_no_logic int64	qsc_codepython_frac_lines_print int64	hits int64
bb64100ba3fb0158060234ff152cec1164f363c5	1,363	py	Python	forms/migrations/0013_auto_20150324_0700.py	digideskio/gmmp	d82a4be0787c3a3a9e27dc590d7974f9f884fbb6	[ "Apache-2.0" ]	4	2020-01-05T09:14:19.000Z	2022-02-17T03:22:09.000Z	forms/migrations/0013_auto_20150324_0700.py	digideskio/gmmp	d82a4be0787c3a3a9e27dc590d7974f9f884fbb6	[ "Apache-2.0" ]	68	2019-12-23T02:19:55.000Z	2021-04-23T06:13:36.000Z	forms/migrations/0013_auto_20150324_0700.py	OpenUpSA/gmmp	d82a4be0787c3a3a9e27dc590d7974f9f884fbb6	[ "Apache-2.0" ]	2	2019-07-25T11:53:10.000Z	2020-06-22T02:07:40.000Z	# -- coding: utf-8 -- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('forms', '0012_auto_20150312_1400'), ] operations = [ migrations.RemoveField( model_name='internetnewssheet', ...	24.781818	45	0.527513	95	1,363	7.378947	0.326316	0.299572	0.370899	0.42796	0.768902	0.768902	0	0	0	0	0.019585	0.363169	1,363	54	46	25.240741	0.788018	0.015407	0.833333	0	0	0.174627	0.017164	0	0	0	1	0	false	0	0.041667	0	0.104167	0	0	0	0	null	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
bb6ef1076b71f8893e365962bfed5784ff422f78	32	py	Python	XMLtoJSON/__init__.py	Pretzel-Bytes/XMLtoJSON	77de59c9cbcb793b00baa1de15a227a38ee52878	[ "MIT" ]	null	null	null	XMLtoJSON/__init__.py	Pretzel-Bytes/XMLtoJSON	77de59c9cbcb793b00baa1de15a227a38ee52878	[ "MIT" ]	null	null	null	XMLtoJSON/__init__.py	Pretzel-Bytes/XMLtoJSON	77de59c9cbcb793b00baa1de15a227a38ee52878	[ "MIT" ]	null	null	null	from .XMLtoJSON import convert	16	31	0.8125	4	32	6.5	1	0	0	0	0	0	0	0	0	0	0	0.15625	32	1	32	32	0.962963	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
bb8f0622081ac4282fd1033d8d5e2665bcaf1ae3	122	py	Python	services/JSONEncoderService.py	johnyenter-briars/Grove	a1a3e784b3ae22113d2596ecea019b52aa2c138d	[ "MIT" ]	null	null	null	services/JSONEncoderService.py	johnyenter-briars/Grove	a1a3e784b3ae22113d2596ecea019b52aa2c138d	[ "MIT" ]	null	null	null	services/JSONEncoderService.py	johnyenter-briars/Grove	a1a3e784b3ae22113d2596ecea019b52aa2c138d	[ "MIT" ]	null	null	null	from json import JSONEncoder class ClassEncoder(JSONEncoder): def default(self, o): return o.__dict__	30.5	32	0.680328	14	122	5.642857	0.857143	0	0	0	0	0	0	0	0	0	0	0.254098	122	4	33	30.5	0.868132	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0.25	0.25	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	5
bbe9369c40f8ef960dc1e65b6aae97ade91eb5c1	256	py	Python	tests/fakeapi/hello.py	adalekin/connexion-buzz	c96beebb26ef84858b5131ba2f3c1a0b9152b137	[ "BSD-3-Clause" ]	null	null	null	tests/fakeapi/hello.py	adalekin/connexion-buzz	c96beebb26ef84858b5131ba2f3c1a0b9152b137	[ "BSD-3-Clause" ]	null	null	null	tests/fakeapi/hello.py	adalekin/connexion-buzz	c96beebb26ef84858b5131ba2f3c1a0b9152b137	[ "BSD-3-Clause" ]	null	null	null	import http import connexion_buzz class OverloadBuzz(connexion_buzz.ConnexionBuzz): status_code = http.HTTPStatus.UNAUTHORIZED def index(): raise connexion_buzz.ConnexionBuzz('basic test') def status(): raise OverloadBuzz('status test')	16	52	0.765625	29	256	6.62069	0.551724	0.203125	0.270833	0	0	0	0	0	0	0	0	0.148438	256	15	53	17.066667	0.880734	0	0	0	0	0.082031	0	0	0	0	1	0.25	false	0	0.25	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	1	0	5
bbf19994db30feaf39380fd20af556c8f391cdf0	213	py	Python	frictionless/validate/__init__.py	kant/frictionless-py	09cc98e1966d6f97f4eecb47757f45f8a946c5e7	[ "MIT" ]	null	null	null	frictionless/validate/__init__.py	kant/frictionless-py	09cc98e1966d6f97f4eecb47757f45f8a946c5e7	[ "MIT" ]	null	null	null	frictionless/validate/__init__.py	kant/frictionless-py	09cc98e1966d6f97f4eecb47757f45f8a946c5e7	[ "MIT" ]	null	null	null	from .main import validate from .inquiry import validate_inquiry from .package import validate_package from .resource import validate_resource from .schema import validate_schema from .table import validate_table	30.428571	39	0.859155	29	213	6.137931	0.310345	0.47191	0	0	0	0	0	0	0	0	0	0.112676	213	6	40	35.5	0.941799	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
bbf52cd6988e576d398f19eaf32ce0f5004c4d17	157	py	Python	cum/version.py	theowhy/cum	fe91124705fa8e93a1a7be7b547227f6064ca736	[ "Apache-2.0" ]	163	2015-07-14T09:46:24.000Z	2022-03-20T10:20:21.000Z	cum/version.py	theowhy/cum	fe91124705fa8e93a1a7be7b547227f6064ca736	[ "Apache-2.0" ]	63	2015-08-01T16:14:20.000Z	2021-07-05T07:24:58.000Z	cum/version.py	theowhy/cum	fe91124705fa8e93a1a7be7b547227f6064ca736	[ "Apache-2.0" ]	22	2015-07-26T13:00:59.000Z	2022-03-08T22:37:32.000Z	__version__ = '0.9.1' __version_name__ = 'Morino Kirin-chan' def version_string(): return '%(prog)s version %(version)s "{}"'.format(__version_name__)	22.428571	71	0.700637	21	157	4.52381	0.666667	0.231579	0	0	0	0	0	0	0	0	0.021898	0.127389	157	6	72	26.166667	0.671533	0	0	0	0	0.350318	0	0	0	0	1	0.25	false	0	0	0.25	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	0	0	5
a5484c5e58501a5d784acc21007aca03fe1b7abc	429	py	Python	Source_Code/Python/labinstrument/interfaces/na_interface.py	fenglwh/instruments	7886158d1ed97fe6bfe372a55f4fca107e834311	[ "MIT" ]	null	null	null	Source_Code/Python/labinstrument/interfaces/na_interface.py	fenglwh/instruments	7886158d1ed97fe6bfe372a55f4fca107e834311	[ "MIT" ]	3	2018-09-21T00:57:21.000Z	2018-09-21T01:49:40.000Z	Source_Code/Python/labinstrument/interfaces/na_interface.py	fenglwh/instruments	7886158d1ed97fe6bfe372a55f4fca107e834311	[ "MIT" ]	null	null	null	import abc class NAInterface: @abc.abstractmethod def peak_search(self): pass @abc.abstractmethod def get_linear_response(self,freq): pass @abc.abstractmethod def get_log_response(self,freq): pass @abc.abstractmethod def get_range_linear_response(self,start,stop...	15.888889	51	0.662005	51	429	5.352941	0.352941	0.311355	0.3663	0.351648	0.717949	0.450549	0.315018	0.315018	0	0	0	0.263403	429	26	52	16.5	0.863924	0	0.588235	0	0	0	0	0	0	0	1	0.294118	false	0.294118	0.058824	0	0.411765	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	5
a5535c5867dd885133985ee991f405fa4375d760	45	py	Python	helpers/ipynb_py_convert/__init__.py	luk400/vim-jukit	72f37faebc58efdd69f0e85478faf9350176aec8	[ "MIT" ]	25	2021-04-03T01:33:12.000Z	2022-03-28T01:45:12.000Z	helpers/ipynb_py_convert/__init__.py	luk400/vim-jukit	72f37faebc58efdd69f0e85478faf9350176aec8	[ "MIT" ]	2	2022-03-22T05:41:55.000Z	2022-03-30T16:35:39.000Z	helpers/ipynb_py_convert/__init__.py	luk400/vim-jukit	72f37faebc58efdd69f0e85478faf9350176aec8	[ "MIT" ]	null	null	null	from .__main__ import nb2py, py2nb, convert	22.5	44	0.777778	6	45	5.166667	1	0	0	0	0	0	0	0	0	0	0.052632	0.155556	45	1	45	45	0.763158	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
a5784645e9894b192f24ba86f549cab48e1b0808	370	py	Python	SpiderX/core/coreutils.py	OldDriverPickMeUp/SpiderX	819cb9ab05b05feca561d45baada70af7a359f9a	[ "MIT" ]	3	2017-10-04T04:13:35.000Z	2017-11-20T00:18:57.000Z	SpiderX/core/coreutils.py	OldDriverPickMeUp/SpiderX	819cb9ab05b05feca561d45baada70af7a359f9a	[ "MIT" ]	null	null	null	SpiderX/core/coreutils.py	OldDriverPickMeUp/SpiderX	819cb9ab05b05feca561d45baada70af7a359f9a	[ "MIT" ]	null	null	null	#coding=utf-8 import platform def get_current_platform(): return platform.system() def is_windows(): if platform.system() == 'Windows': return True return False def is_linux(): if platform.system() == 'Linux': return True return False def is_mac(): if platform.system() =...	13.703704	38	0.618919	45	370	4.977778	0.4	0.25	0.214286	0.28125	0.232143	0.232143	0	0	0	0	0.00369	0.267568	370	26	39	14.230769	0.822878	0.032432	0.4	0	0	0.050562	0	0	0	0	1	0.266667	true	0	0.066667	0.066667	0.8	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	1	0	0	0	0	0	5
a58fac78792dd565e0b1c32070317f25a82a34ad	9,857	py	Python	salika/views/django_session_views.py	BarisSari/django_crud	ce9586c10da2f865d29d9a18e9ff5582abe5e3a0	[ "MIT" ]	null	null	null	salika/views/django_session_views.py	BarisSari/django_crud	ce9586c10da2f865d29d9a18e9ff5582abe5e3a0	[ "MIT" ]	null	null	null	salika/views/django_session_views.py	BarisSari/django_crud	ce9586c10da2f865d29d9a18e9ff5582abe5e3a0	[ "MIT" ]	null	null	null	from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.views.generic.list import ListView from ..models import DjangoSession from ..forms import DjangoSessionForm from django.urls import reverse_lazy from django.urls import reverse from dj...	36.917603	123	0.721315	1,123	9,857	6.071238	0.080142	0.093576	0.062335	0.089176	0.875183	0.75154	0.61631	0.576855	0.530361	0.530361	0.001349	0.172771	9,857	266	124	37.056391	0.834805	0.011261	0.475936	0	0	0.036847	0.025146	0	0	0	1	0.358289	false	0	0.042781	0.315508	0.946524	0	0	0	0	null	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	5
a59e3aeec74ca4ff4934ed5213d044c9fe3fd6b3	20	py	Python	app/__init__.py	calio/taski	c06346d7e3600f41b1347c6d9f73616f17b226e4	[ "MIT" ]	null	null	null	app/__init__.py	calio/taski	c06346d7e3600f41b1347c6d9f73616f17b226e4	[ "MIT" ]	1	2021-06-01T22:24:59.000Z	2021-06-01T22:24:59.000Z	app/__init__.py	calio/taski	c06346d7e3600f41b1347c6d9f73616f17b226e4	[ "MIT" ]	null	null	null	VERSION = "0.1.20"	6.666667	18	0.55	4	20	2.75	1	0	0	0	0	0	0	0	0	0	0.25	0.2	20	2	19	10	0.4375	0	0	0	0	0.315789	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
3c05645456a3cbdbe4ec9470710519db56e7927e	110	py	Python	src/labster/ldap/__init__.py	jean3108/labandco	4317e7d3875f10d76076ad5fc68c1ba3c12badba	[ "Apache-2.0" ]	2	2019-11-11T22:09:58.000Z	2020-01-20T19:44:30.000Z	src/labster/ldap/__init__.py	jean3108/labandco	4317e7d3875f10d76076ad5fc68c1ba3c12badba	[ "Apache-2.0" ]	15	2020-03-31T10:58:37.000Z	2022-01-22T09:14:49.000Z	src/labster/ldap/__init__.py	jean3108/labandco	4317e7d3875f10d76076ad5fc68c1ba3c12badba	[ "Apache-2.0" ]	2	2021-05-28T12:20:24.000Z	2021-09-08T11:27:57.000Z	"""Nouvel importeur LDAP (pour l'annuaire chapeau Sorbonne Université).""" from __future__ import annotations	36.666667	74	0.8	13	110	6.461538	1	0	0	0	0	0	0	0	0	0	0	0.109091	110	2	75	55	0.857143	0.618182	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
3c2927b6be0cdf6e55278176658ada2f0a5eb7b6	14,232	py	Python	apps/challenge/migrations/0001_initial.py	mehrbodjavadi79/AIC21-Backend	9f4342781f0722804a2eb704b43b52984c81b40a	[ "MIT" ]	3	2021-03-12T18:32:39.000Z	2021-11-08T10:21:04.000Z	apps/challenge/migrations/0001_initial.py	mehrbodjavadi79/AIC21-Backend	9f4342781f0722804a2eb704b43b52984c81b40a	[ "MIT" ]	null	null	null	apps/challenge/migrations/0001_initial.py	mehrbodjavadi79/AIC21-Backend	9f4342781f0722804a2eb704b43b52984c81b40a	[ "MIT" ]	2	2021-01-29T14:52:53.000Z	2022-03-05T10:24:24.000Z	# Generated by Django 3.1.5 on 2021-03-23 10:35 from django.db import migrations, models import django.db.models.deletion import django.utils.timezone import model_utils.fields import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('team', '0006_team_level_one_payed'), ...	61.081545	187	0.616217	1,386	14,232	6.189755	0.113276	0.051754	0.069006	0.06411	0.795547	0.792283	0.764308	0.717799	0.69845	0.650425	0.005436	0.237423	14,232	232	188	61.344828	0.785036	0.003162	0.617778	1	0	0.13902	0.00853	0	0	0	1	0	false	0	0.022222	0	0.04	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	5
3c35df45a820cd2b31f81d888dd7eea3e07c3247	46	py	Python	app/lti_app/launch/exceptions.py	oss6/scriba	104fb6718891fb57da42b5b175826cd5f0f0ec9b	[ "MIT" ]	null	null	null	app/lti_app/launch/exceptions.py	oss6/scriba	104fb6718891fb57da42b5b175826cd5f0f0ec9b	[ "MIT" ]	40	2018-06-21T22:17:14.000Z	2018-08-29T16:02:29.000Z	app/lti_app/launch/exceptions.py	birmingham-international-academy/scriba	104fb6718891fb57da42b5b175826cd5f0f0ec9b	[ "MIT" ]	null	null	null	class InvalidLaunchError(Exception): pass	15.333333	36	0.782609	4	46	9	1	0	0	0	0	0	0	0	0	0	0	0.152174	46	2	37	23	0.923077	0	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	0	5
3c3f78ae39c2c1cd8a65704bf8e971b2ac00dfd9	178	py	Python	search_space/fbnet/__init__.py	eric8607242/OSNASLib	43908ab454fb78f835f8a015935205179b9acec4	[ "MIT" ]	3	2021-06-14T11:00:21.000Z	2021-10-18T02:59:54.000Z	search_space/fbnet/__init__.py	eric8607242/OneShot_NAS_example	2e758a9e5d9e03eecb9c4cc0e2e6a8ec38cf7052	[ "MIT" ]	1	2021-12-04T07:42:25.000Z	2021-12-04T15:14:12.000Z	search_space/fbnet/__init__.py	eric8607242/OneShot_NAS_example	2e758a9e5d9e03eecb9c4cc0e2e6a8ec38cf7052	[ "MIT" ]	null	null	null	from .fbnet_supernet import FBNetSSupernet, FBNetLSupernet from .fbnet_lookup_table import FBNetSLookUpTable, FBNetLLookUpTable from .fbnet_model import FBNetSModel, FBNetLModel	44.5	68	0.882022	19	178	8.052632	0.684211	0.176471	0	0	0	0	0	0	0	0	0	0.08427	178	3	69	59.333333	0.93865	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
3c40390f00bd47ab8c3c8619ecf0fe5063c5f53b	1,584	py	Python	utils/train.py	e-hulten/maf	2c0604ac8573ab14a6bc83dd51827d47a4266a96	[ "MIT" ]	12	2020-02-29T11:42:27.000Z	2021-12-08T04:09:21.000Z	utils/train.py	e-hulten/maf	2c0604ac8573ab14a6bc83dd51827d47a4266a96	[ "MIT" ]	1	2021-01-22T07:02:22.000Z	2021-01-22T07:02:22.000Z	utils/train.py	e-hulten/maf	2c0604ac8573ab14a6bc83dd51827d47a4266a96	[ "MIT" ]	null	null	null	import os import math import numpy as np import matplotlib.pyplot as plt import torch from torch.distributions import MultivariateNormal def train_one_epoch_maf(model, epoch, optimizer, train_loader): model.train() train_loss = 0 for batch in train_loader: u, log_det = model.forward(batch.float())...	30.461538	68	0.641414	223	1,584	4.367713	0.26009	0.186858	0.071869	0.077002	0.712526	0.712526	0.712526	0.712526	0.712526	0.712526	0.022241	0.233586	1,584	51	69	31.058824	0.780066	0	0.65	0	0	0.037879	0	0	0	0	1	0.05	false	0	0.15	0	0.25	0.05	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
3c4828cce4743cddd3fd5fb20f132a2e5788d7ea	17,225	py	Python	models.py	xavierzw/ogb-geniepath-bs	d4da66595b17490f63ea74f620642c99d8159008	[ "MIT" ]	4	2020-09-23T13:37:19.000Z	2022-01-18T08:04:19.000Z	models.py	xavierzw/ogb-geniepath-bs	d4da66595b17490f63ea74f620642c99d8159008	[ "MIT" ]	2	2020-09-24T08:16:22.000Z	2021-05-30T10:52:05.000Z	models.py	xavierzw/gnn-bs	a2415a9085cd1d4d589a3ff057a2762013b5b5ae	[ "MIT" ]	null	null	null	import numpy as np import tensorflow as tf flags = tf.app.flags FLAGS = flags.FLAGS def attention_mechanism(name, v, W_s, W_d, V, cur_embed, left, right, n2n): # a_{i,j} \propto v^\top tanh (W_s (\mu_i + \mu_j)) if name == 'linear': t = tf.sparse_tensor_dense_matmul(sp_a=edge, b=cur_embed) # edge \in...	43.497475	125	0.605283	2,561	17,225	3.823116	0.09098	0.073537	0.032172	0.034726	0.786947	0.765805	0.756	0.749055	0.718211	0.688796	0.013111	0.256081	17,225	395	126	43.607595	0.750976	0.073033	0.542763	0	0	0.04273	0	0	0	0.009868	1	0.046053	false	0	0.006579	0	0.069079	0.006579	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
3c5ad137248656d098c911417ce8a217b92134f6	416	py	Python	src/onegov/election_day/formats/vote/__init__.py	politbuero-kampagnen/onegov-cloud	20148bf321b71f617b64376fe7249b2b9b9c4aa9	[ "MIT" ]	null	null	null	src/onegov/election_day/formats/vote/__init__.py	politbuero-kampagnen/onegov-cloud	20148bf321b71f617b64376fe7249b2b9b9c4aa9	[ "MIT" ]	null	null	null	src/onegov/election_day/formats/vote/__init__.py	politbuero-kampagnen/onegov-cloud	20148bf321b71f617b64376fe7249b2b9b9c4aa9	[ "MIT" ]	null	null	null	from onegov.election_day.formats.vote.default import import_vote_default from onegov.election_day.formats.vote.internal import import_vote_internal from onegov.election_day.formats.vote.wabsti import import_vote_wabsti from onegov.election_day.formats.vote.wabstic import import_vote_wabstic __all__ = [ 'import_vo...	32	74	0.824519	57	416	5.596491	0.210526	0.250784	0.225705	0.263323	0.401254	0.401254	0	0	0	0	0	0.100962	416	12	75	34.666667	0.852941	0	0	0	0	0.182692	0	0	0	0	1	0	false	0	0.8	0	0.8	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
3c5de8fa9d6827a18c78e36b7733986083eaae7d	139	py	Python	lbrynet/blob/__init__.py	vyaspranjal33/lbry	e03e41ad3105ccc0d8d8891b0e9fa63f9bbfce34	[ "MIT" ]	null	null	null	lbrynet/blob/__init__.py	vyaspranjal33/lbry	e03e41ad3105ccc0d8d8891b0e9fa63f9bbfce34	[ "MIT" ]	110	2018-11-26T05:41:35.000Z	2021-08-03T15:37:20.000Z	lbrynet/blob/__init__.py	vyaspranjal33/lbry	e03e41ad3105ccc0d8d8891b0e9fa63f9bbfce34	[ "MIT" ]	1	2018-09-20T22:15:59.000Z	2018-09-20T22:15:59.000Z	from .blob_file import BlobFile from .creator import BlobFileCreator from .writer import HashBlobWriter from .reader import HashBlobReader	27.8	36	0.856115	17	139	6.941176	0.647059	0	0	0	0	0	0	0	0	0	0	0.115108	139	4	37	34.75	0.95935	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
b1b6f2757049b6ad4318211cbab962c81f257979	173	py	Python	tests/test_default.py	katiebreivik/showyourwork	77a15de6778e14c3a3936e86e181539cc31cc693	[ "MIT" ]	null	null	null	tests/test_default.py	katiebreivik/showyourwork	77a15de6778e14c3a3936e86e181539cc31cc693	[ "MIT" ]	null	null	null	tests/test_default.py	katiebreivik/showyourwork	77a15de6778e14c3a3936e86e181539cc31cc693	[ "MIT" ]	null	null	null	from helpers import TemporaryShowyourworkRepository class TestDefault(TemporaryShowyourworkRepository): """Test setting up and building the default repo.""" pass	21.625	56	0.791908	16	173	8.5625	0.9375	0	0	0	0	0	0	0	0	0	0	0.150289	173	8	57	21.625	0.931973	0.265896	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	0	0	5
b1d4c92cd547d554324dece42bcd9ccfec2fc9fb	142	py	Python	mitm/__init__.py	cchinnasamy/mitm	28366606e3622a86fc3aa10c66272d5d42934f5b	[ "MIT" ]	null	null	null	mitm/__init__.py	cchinnasamy/mitm	28366606e3622a86fc3aa10c66272d5d42934f5b	[ "MIT" ]	null	null	null	mitm/__init__.py	cchinnasamy/mitm	28366606e3622a86fc3aa10c66272d5d42934f5b	[ "MIT" ]	null	null	null	from .API import ManInTheMiddle from .utils import RSA, color from .client import EmulatedClient from .server import HTTP, HTTPS, Interceptor	28.4	44	0.816901	19	142	6.105263	0.684211	0	0	0	0	0	0	0	0	0	0	0.133803	142	4	45	35.5	0.943089	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
b1f725ed782d3a6675697bd1262cd8d37b524f80	293	py	Python	torecsys/layers/emb/__init__.py	p768lwy3/torecsys	2251366268b4fbe6f8c3ab1628fa72a0db043dcd	[ "MIT" ]	92	2019-08-15T11:03:50.000Z	2022-03-12T01:21:05.000Z	torecsys/layers/emb/__init__.py	p768lwy3/torecsys	2251366268b4fbe6f8c3ab1628fa72a0db043dcd	[ "MIT" ]	3	2020-03-11T08:57:50.000Z	2021-01-06T01:39:47.000Z	torecsys/layers/emb/__init__.py	p768lwy3/torecsys	2251366268b4fbe6f8c3ab1628fa72a0db043dcd	[ "MIT" ]	16	2019-10-12T11:28:53.000Z	2022-03-28T14:04:12.000Z	"""" torecsys.layers.emb is a sub model of implementation of layers in embedding. """ from torecsys.layers.emb.generalized_matrix_factorization import GeneralizedMatrixFactorizationLayer from torecsys.layers.emb.starspace import StarSpaceLayer GMFLayer = GeneralizedMatrixFactorizationLayer	32.555556	100	0.853242	31	293	8	0.645161	0.169355	0.205645	0.169355	0	0	0	0	0	0	0	0.088737	293	8	101	36.625	0.928839	0.266212	0	0	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
590dec1407e617a51cf5985bff2870844ae7cf71	162	py	Python	text_ckeditor/text_ckeditor_links/admin.py	rouxcode/django-text-ckeditor	dd8f86a6ffcbde8d1b85fc6e70d2653dd65b2737	[ "MIT" ]	null	null	null	text_ckeditor/text_ckeditor_links/admin.py	rouxcode/django-text-ckeditor	dd8f86a6ffcbde8d1b85fc6e70d2653dd65b2737	[ "MIT" ]	null	null	null	text_ckeditor/text_ckeditor_links/admin.py	rouxcode/django-text-ckeditor	dd8f86a6ffcbde8d1b85fc6e70d2653dd65b2737	[ "MIT" ]	null	null	null	from django.contrib import admin from ..admin import DjangoLinkAdmin from .models import Link @admin.register(Link) class LinkAdmin(DjangoLinkAdmin): pass	16.2	35	0.790123	20	162	6.4	0.6	0	0	0	0	0	0	0	0	0	0	0.141975	162	9	36	18	0.920863	0	0	0	0	0	0	0	0	0	1	0	true	0.166667	0.5	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	0	0	5
591bd0ae083e720d7184c11d29529341dbcacd45	8,165	py	Python	pyflowline/formats/read_flowline.py	changliao1025/pyflowline	fb8677c5ebb3d0db8638f7fcc495ffb97376e00f	[ "Unlicense" ]	4	2022-03-23T12:10:20.000Z	2022-03-29T13:41:16.000Z	pyflowline/formats/read_flowline.py	changliao1025/pyflowline	fb8677c5ebb3d0db8638f7fcc495ffb97376e00f	[ "Unlicense" ]	1	2022-03-24T16:08:35.000Z	2022-03-24T16:08:35.000Z	pyflowline/formats/read_flowline.py	changliao1025/pyflowline	fb8677c5ebb3d0db8638f7fcc495ffb97376e00f	[ "Unlicense" ]	null	null	null	import os import numpy as np from osgeo import ogr, osr, gdal from shapely.wkt import loads from pyflowline.formats.convert_coordinates import convert_gcs_coordinates_to_flowline def read_flowline_shapefile(sFilename_shapefile_in): """ convert a shpefile to json format. This function should be used for s...	35.811404	96	0.607961	791	8,165	6.046776	0.168142	0.036797	0.041815	0.033661	0.748275	0.724232	0.724232	0.70876	0.696216	0.696216	0.009772	0.323209	8,165	228	97	35.811404	0.855773	0.041886	0.728261	0	0	0.03117	0	0	0	0	1	0.016304	false	0.032609	0.038043	0	0.076087	0.043478	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
59295a94ead8f3a8c92edd6247bf52ed4c3043dc	3,346	py	Python	valloes.py	HarleyEDU/pythoneduwork	6c5a28217c96fac394cb7ad0fb8d186b5080f1de	[ "bzip2-1.0.6" ]	null	null	null	valloes.py	HarleyEDU/pythoneduwork	6c5a28217c96fac394cb7ad0fb8d186b5080f1de	[ "bzip2-1.0.6" ]	null	null	null	valloes.py	HarleyEDU/pythoneduwork	6c5a28217c96fac394cb7ad0fb8d186b5080f1de	[ "bzip2-1.0.6" ]	null	null	null	import time time.sleep(1) print("Yo kid, gimme you test papier, mans out here, needin dat ting for copiying, got me g, asnee, skrr, bam, weewee-woowoo!") time.sleep(4) science=input(("- Choose YES or NO: ")) print("") time.sleep(2) yes=input(("- You chose NO right: ")) time.sleep(2) print("- Ok so now we have ...	9.478754	128	0.521817	404	3,346	4.306931	0.269802	0.482759	0.698276	0.896552	0.413793	0.357471	0.329885	0.313793	0.278161	0.278161	0.02158	0.265989	3,346	352	129	9.505682	0.686889	0.000897	0.798658	0	0.006711	0.34767	0	0	0	0	1	0	false	0	0.026846	0	0.026846	0.744966	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	1	5
3ca3a169112ca36514de8e92dd6acd4f13f14931	216	py	Python	L1Trigger/TrackerDTC/python/AnalyzerDAQ_cff.py	Jingyan95/cmssw	f78d843f0837f269ee6811b0e0f4c0432928c190	[ "Apache-2.0" ]	5	2020-07-02T19:05:26.000Z	2022-02-25T14:37:09.000Z	L1Trigger/TrackerDTC/python/AnalyzerDAQ_cff.py	Jingyan95/cmssw	f78d843f0837f269ee6811b0e0f4c0432928c190	[ "Apache-2.0" ]	61	2020-07-14T17:22:52.000Z	2022-03-16T11:11:12.000Z	L1Trigger/TrackerDTC/python/AnalyzerDAQ_cff.py	dally96/cmssw	c37b9bfa391850cb349c71190b0bbb2d04224cc8	[ "Apache-2.0" ]	8	2020-06-08T16:28:54.000Z	2021-11-16T14:40:00.000Z	import FWCore.ParameterSet.Config as cms from L1Trigger.TrackerDTC.AnalyzerDAQ_cfi import TrackerDTCAnalyzerDAQ_params TrackerDTCAnalyzerDAQ = cms.EDAnalyzer('trackerDTC::AnalyzerDAQ', TrackerDTCAnalyzerDAQ_params)	43.2	95	0.87963	21	216	8.904762	0.666667	0.224599	0	0	0	0	0	0	0	0	0.004926	0.060185	216	5	95	43.2	0.916256	0	0	0	0	0.105991	0.105991	0	0	0	1	0	false	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
3cacb6bca871ba9bfab249f6e9ad299dac830b54	426	py	Python	addons/calendar/models/__init__.py	SHIVJITH/Odoo_Machine_Test	310497a9872db7844b521e6dab5f7a9f61d365a4	[ "Apache-2.0" ]	null	null	null	addons/calendar/models/__init__.py	SHIVJITH/Odoo_Machine_Test	310497a9872db7844b521e6dab5f7a9f61d365a4	[ "Apache-2.0" ]	null	null	null	addons/calendar/models/__init__.py	SHIVJITH/Odoo_Machine_Test	310497a9872db7844b521e6dab5f7a9f61d365a4	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- # Part of Odoo. See LICENSE file for full copyright and licensing details. from . import ir_http from . import res_partner from . import calendar_event from . import calendar_alarm from . import calendar_alarm_manager from . import calendar_attendee from . import calendar_contact from . import ...	28.4	74	0.798122	61	426	5.360656	0.52459	0.336391	0.385321	0.140673	0	0	0	0	0	0	0.002755	0.147887	426	14	75	30.428571	0.898072	0.220657	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
3cadff189d6659ade586919540ab548b96d3a259	122	py	Python	ReadingNotes/CythonDocumentation/prime/setup_cpp.py	agent1894/Quant-Practice-Workspace	f102e136389e2247bbbfb36ef78c16807a0ba7d2	[ "MIT" ]	1	2021-03-17T01:25:05.000Z	2021-03-17T01:25:05.000Z	ReadingNotes/CythonDocumentation/prime/setup_cpp.py	agent1894/Quant-Practice-Workspace	f102e136389e2247bbbfb36ef78c16807a0ba7d2	[ "MIT" ]	null	null	null	ReadingNotes/CythonDocumentation/prime/setup_cpp.py	agent1894/Quant-Practice-Workspace	f102e136389e2247bbbfb36ef78c16807a0ba7d2	[ "MIT" ]	2	2020-06-29T15:31:10.000Z	2021-03-24T14:20:15.000Z	from distutils.core import setup from Cython.Build import cythonize setup(ext_modules=cythonize("prime_cython_cpp.pyx"))	24.4	52	0.836066	18	122	5.5	0.722222	0	0	0	0	0	0	0	0	0	0	0.081967	122	4	53	30.5	0.883929	0	0	0	0	0.163934	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
3cae0443470051b39519af610077f59c4458ba33	780	py	Python	cw_wrapper/utils/test_vectors.py	BeneciaLee/cw_wrapper	a1562aa04e11acf9c1646777e2edc52981df9d2e	[ "MIT" ]	3	2021-06-30T05:36:48.000Z	2021-07-01T10:24:59.000Z	cw_wrapper/utils/test_vectors.py	BeneciaLee/cw_wrapper	a1562aa04e11acf9c1646777e2edc52981df9d2e	[ "MIT" ]	1	2021-07-12T12:11:35.000Z	2021-07-12T12:11:35.000Z	cw_wrapper/utils/test_vectors.py	BeneciaLee/cw_wrapper	a1562aa04e11acf9c1646777e2edc52981df9d2e	[ "MIT" ]	2	2021-06-30T08:13:41.000Z	2021-07-01T09:18:04.000Z	AES_128_ECB_test_vectors = ( {"key": "911500915E8514174402A13118EA362C", "plain": "4163F3BEABA14D6C1E406BD5646CAC9A", "cipher": "39610A1E8F66501D952C27AB52C4DC9A"}, {"key": "BCCF986A4D74B719EEB1D93CDABE96D5", "plain": "A6325414DDE2E367AABA669766316976", "cipher": "666C5668ECAAD6E66C7FB569E52...	43.333333	51	0.735897	35	780	16.285714	0.657143	0	0	0	0	0	0	0	0	0	0.455621	0.133333	780	17	52	45.882353	0.387574	0	0	0	0	0.705128	0.615385	0	0	0	1	0	false	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	1	1	null	0	0	0	0	0	0	0	0	0	5
3cb9ce9cc8841b819db03679cec3aaee32a8248e	66	py	Python	MotunrayoKoyejo/Phase 1/Python Basic 1/Day6/Q46.py	CodedLadiesInnovateTech/-python-challenge-solutions	430cd3eb84a2905a286819eef384ee484d8eb9e7	[ "MIT" ]	6	2020-05-23T19:53:25.000Z	2021-05-08T20:21:30.000Z	MotunrayoKoyejo/Phase 1/Python Basic 1/Day6/Q46.py	CodedLadiesInnovateTech/-python-challenge-solutions	430cd3eb84a2905a286819eef384ee484d8eb9e7	[ "MIT" ]	8	2020-05-14T18:53:12.000Z	2020-07-03T00:06:20.000Z	MotunrayoKoyejo/Phase 1/Python Basic 1/Day6/Q46.py	CodedLadiesInnovateTech/-python-challenge-solutions	430cd3eb84a2905a286819eef384ee484d8eb9e7	[ "MIT" ]	39	2020-05-10T20:55:02.000Z	2020-09-12T17:40:59.000Z	import os print('Current file name: ', os.path.realpath(__file__))	33	56	0.757576	10	66	4.6	0.8	0	0	0	0	0	0	0	0	0	0	0.090909	66	2	56	33	0.766667	0	0	0	0	0.283582	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	5
3ccc1cd2b4c7b885f2392e5ad1be6c71f0a11251	9,882	py	Python	core/migrations/0002_auto_20201214_1553.py	cumanachao/utopia-crm	6d648971c427ca9f380b15ed0ceaf5767b88e8b9	[ "BSD-3-Clause" ]	13	2020-12-14T19:56:04.000Z	2021-11-06T13:24:48.000Z	core/migrations/0002_auto_20201214_1553.py	cumanachao/utopia-crm	6d648971c427ca9f380b15ed0ceaf5767b88e8b9	[ "BSD-3-Clause" ]	5	2020-12-14T19:56:30.000Z	2021-09-22T22:09:39.000Z	core/migrations/0002_auto_20201214_1553.py	cumanachao/utopia-crm	6d648971c427ca9f380b15ed0ceaf5767b88e8b9	[ "BSD-3-Clause" ]	3	2021-03-24T03:55:08.000Z	2022-01-13T15:22:34.000Z	# -- coding: utf-8 -- # Generated by Django 1.11.29 on 2020-12-14 15:53 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion import taggit.managers class Migration(migrations.Migration): initial = True dependenc...	45.962791	188	0.626391	1,008	9,882	6.010913	0.112103	0.11289	0.144248	0.169335	0.804588	0.787094	0.664796	0.64202	0.63971	0.591352	0.006152	0.243372	9,882	214	189	46.17757	0.8042	0.006982	0.713592	1	0	0.180224	0.030989	0	0	0	1	0	false	0	0.024272	0	0.043689	0	0	0	0	null	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	null	0	0	0	0	0	0	0	0	0	5
3ceff14a7e4a7eb1b5f85131e3a3bb59b36b2942	138	py	Python	tests/test_iauc.py	klintan/dc-multiple-myeloma-metrics	6999a8d165f2f30da80408d099bbd96067924c66	[ "MIT" ]	1	2020-09-17T03:53:25.000Z	2020-09-17T03:53:25.000Z	tests/test_iauc.py	klintan/dc-multiple-myeloma-metrics	6999a8d165f2f30da80408d099bbd96067924c66	[ "MIT" ]	null	null	null	tests/test_iauc.py	klintan/dc-multiple-myeloma-metrics	6999a8d165f2f30da80408d099bbd96067924c66	[ "MIT" ]	1	2022-01-06T17:08:26.000Z	2022-01-06T17:08:26.000Z	import unittest from metrics.iauc import integrateAUC class IntegratedAUCTests(unittest.TestCase): def test_iauc(self): pass	19.714286	44	0.768116	16	138	6.5625	0.8125	0	0	0	0	0	0	0	0	0	0	0.173913	138	6	45	23	0.921053	0	0	0	0	0	0	0	0	0	1	0.2	false	0.2	0.4	0	0.8	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	5
a7240e594d0f77cdb252d4401e25c0b80766973b	1,380	py	Python	_notebooks/snippets.py	slamer59/energies-domestique	a3432ac82e952f5c5e4ac3fb3daa2ea3e790ce37	[ "Apache-2.0" ]	null	null	null	_notebooks/snippets.py	slamer59/energies-domestique	a3432ac82e952f5c5e4ac3fb3daa2ea3e790ce37	[ "Apache-2.0" ]	null	null	null	_notebooks/snippets.py	slamer59/energies-domestique	a3432ac82e952f5c5e4ac3fb3daa2ea3e790ce37	[ "Apache-2.0" ]	null	null	null	import pandas as pd import hvplot def export_plot_fastpages(plot, filename): hvplot.save(plot, filename) import fileinput with open(filename, 'r') as original: data = original.read() with open(filename, 'w') as modified: modified.write("{% raw %}\n" + data + "\n{% endraw %}") for text_t...	36.315789	125	0.57029	159	1,380	4.842767	0.301887	0.041558	0.083117	0.057143	0.779221	0.779221	0.779221	0.779221	0.779221	0.779221	0	0.268116	1,380	37	126	37.297297	0.762376	0	0.64	0	0	0.13198	0	0	0	0	1	0.08	false	0	0.16	0	0.24	0.08	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
595e49ac80606ebc32edf96ee782e5541b42d42f	46	py	Python	tests/__init__.py	SpaceWhale/doddlebot	973f41d62126eb458167ab56b67a84066be8e560	[ "MIT" ]	null	null	null	tests/__init__.py	SpaceWhale/doddlebot	973f41d62126eb458167ab56b67a84066be8e560	[ "MIT" ]	null	null	null	tests/__init__.py	SpaceWhale/doddlebot	973f41d62126eb458167ab56b67a84066be8e560	[ "MIT" ]	null	null	null	""" :author: john.sosoka :date: 5/10/2018 """	9.2	20	0.586957	7	46	3.857143	1	0	0	0	0	0	0	0	0	0	0.175	0.130435	46	5	21	9.2	0.5	0.804348	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
597c97bf92460ece4eca38beaf148b584c9935c1	142	py	Python	app/settings.py	mizuho1998/co2_monitor	00592ec183ef5199ce08acc0c20bc85d7fdf8a8e	[ "MIT" ]	null	null	null	app/settings.py	mizuho1998/co2_monitor	00592ec183ef5199ce08acc0c20bc85d7fdf8a8e	[ "MIT" ]	null	null	null	app/settings.py	mizuho1998/co2_monitor	00592ec183ef5199ce08acc0c20bc85d7fdf8a8e	[ "MIT" ]	null	null	null	from dotenv import load_dotenv import os def init(): cur_dir = os.path.dirname(__file__) load_dotenv(os.path.join(cur_dir, '.env'))	17.75	46	0.711268	23	142	4.043478	0.608696	0.258065	0	0	0	0	0	0	0	0	0	0.161972	142	7	47	20.285714	0.781513	0	0	0	0	0.028169	0	0	0	0	1	0.2	false	0	0.4	0	0.6	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
598869ef499eb55c8adbb3ba9b234bd8697a65fa	159	py	Python	pygraph/__init__.py	mavnt/pygraph	e3f73fc853b37247946763bbd80d1f11e915b229	[ "MIT" ]	null	null	null	pygraph/__init__.py	mavnt/pygraph	e3f73fc853b37247946763bbd80d1f11e915b229	[ "MIT" ]	null	null	null	pygraph/__init__.py	mavnt/pygraph	e3f73fc853b37247946763bbd80d1f11e915b229	[ "MIT" ]	null	null	null	import shutil from .logging_utils import logging from .pygraph import Graph if shutil.which("dot") is None: logging.critical("dot binary not found !!!")	19.875	48	0.742138	23	159	5.086957	0.695652	0	0	0	0	0	0	0	0	0	0	0.157233	159	7	49	22.714286	0.873134	0	0	0	0	0.169811	0	0	0	0	1	0	true	0	0.6	0	0.6	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
599ebe90eec5c088acec555d525793bc109f5580	173	py	Python	Learning/CodeWars/Python/6kyu_Consecutive_strings.py	aliasfoxkde/snippets	bb6dcc6597316ef9c88611f526935059451c3b5a	[ "MIT" ]	null	null	null	Learning/CodeWars/Python/6kyu_Consecutive_strings.py	aliasfoxkde/snippets	bb6dcc6597316ef9c88611f526935059451c3b5a	[ "MIT" ]	null	null	null	Learning/CodeWars/Python/6kyu_Consecutive_strings.py	aliasfoxkde/snippets	bb6dcc6597316ef9c88611f526935059451c3b5a	[ "MIT" ]	null	null	null	# See: https://www.codewars.com/kata/56a5d994ac971f1ac500003e def longest_consec(s, k): return max([''.join(i) for i in zip(*[s[i:] for i in range(k)])]+[''], key=len)	34.6	83	0.647399	29	173	3.827586	0.758621	0.072072	0.09009	0.126126	0	0	0	0	0	0	0.10596	0.127168	173	4	84	43.25	0.629139	0.34104	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	5
59afcf921ee3c891c26a68dd1e4d2116e70ba07a	88	py	Python	test/conftest.py	jhrmnn/torchcubicspline	3869a90d8120df8067b1ab790fefb86806604a85	[ "Apache-2.0" ]	null	null	null	test/conftest.py	jhrmnn/torchcubicspline	3869a90d8120df8067b1ab790fefb86806604a85	[ "Apache-2.0" ]	null	null	null	test/conftest.py	jhrmnn/torchcubicspline	3869a90d8120df8067b1ab790fefb86806604a85	[ "Apache-2.0" ]	null	null	null	import os import torch torch.manual_seed(int(os.environ.get('SPLINE_MANUAL_SEED', 7)))	17.6	63	0.784091	15	88	4.4	0.666667	0.30303	0	0	0	0	0	0	0	0	0.012346	0.079545	88	4	64	22	0.802469	0	0	0	0	0.204545	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
59d2d74cd4cadb7bb39053a8480aba15d347b046	45	py	Python	python/testData/psi/PositionalOnlyParameters.py	tgodzik/intellij-community	f5ef4191fc30b69db945633951fb160c1cfb7b6f	[ "Apache-2.0" ]	2	2019-04-28T07:48:50.000Z	2020-12-11T14:18:08.000Z	python/testData/psi/PositionalOnlyParameters.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	2	2022-02-19T09:45:05.000Z	2022-02-27T20:32:55.000Z	python/testData/psi/PositionalOnlyParameters.py	Cyril-lamirand/intellij-community	60ab6c61b82fc761dd68363eca7d9d69663cfa39	[ "Apache-2.0" ]	2	2020-03-15T08:57:37.000Z	2020-04-07T04:48:14.000Z	def f(pos1, /, pos_or_kwd, *, kwd1): pass	22.5	36	0.577778	8	45	3	1	0	0	0	0	0	0	0	0	0	0.057143	0.222222	45	2	37	22.5	0.628571	0	0	0	0	0	0	0	0	0	1	0.5	false	0.5	0	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	5
aba877132ac0150a492208f3eb7958fe0d77fa36	50	py	Python	KafkaHandler/__init__.py	ThalesMR/KafkaHandler	1ccb15d3e85df69e9dbe9e8013d9b7b2792eff59	[ "MIT" ]	null	null	null	KafkaHandler/__init__.py	ThalesMR/KafkaHandler	1ccb15d3e85df69e9dbe9e8013d9b7b2792eff59	[ "MIT" ]	null	null	null	KafkaHandler/__init__.py	ThalesMR/KafkaHandler	1ccb15d3e85df69e9dbe9e8013d9b7b2792eff59	[ "MIT" ]	null	null	null	from KafkaHandler.kafkaHandler import KafkaHandler	50	50	0.92	5	50	9.2	0.6	0	0	0	0	0	0	0	0	0	0	0.06	50	1	50	50	0.978723	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
abb15be6233c5a305aff2246914341044f6423bf	3,679	py	Python	dataworkspace/dataworkspace/tests/explorer/test_schema.py	uktrade/jupyterhub-data-auth-admin	91544f376209a201531f4dbfb8faad1b8ada18c9	[ "MIT" ]	1	2019-06-10T08:22:56.000Z	2019-06-10T08:22:56.000Z	dataworkspace/dataworkspace/tests/explorer/test_schema.py	uktrade/jupyterhub-data-auth-admin	91544f376209a201531f4dbfb8faad1b8ada18c9	[ "MIT" ]	2	2019-05-17T13:10:42.000Z	2019-06-17T10:48:46.000Z	dataworkspace/dataworkspace/tests/explorer/test_schema.py	uktrade/jupyterhub-data-auth-admin	91544f376209a201531f4dbfb8faad1b8ada18c9	[ "MIT" ]	null	null	null	from unittest.mock import patch import pytest from django.conf import settings from django.core.cache import cache from dataworkspace.apps.explorer import schema class TestSchemaInfo: @pytest.fixture(scope="function", autouse=True) def _clear_cache(self): cache.clear() @staticmethod def _ge...	44.325301	87	0.720304	432	3,679	5.793981	0.171296	0.088294	0.129844	0.143827	0.746304	0.740312	0.740312	0.740312	0.740312	0.740312	0	0.183746	3,679	82	88	44.865854	0.8335	0.01495	0.591549	0	0	0.245512	0.185584	0	0	0.098592	1	0.084507	false	0.014085	0.070423	0	0.183099	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
abc986fa9c0c04d72ca19590537c695bd33e32b4	228	py	Python	python-structures-presentation/code/exercise.py	iz4vve-talks/misc-training	4f676080e54539cbaf283e611278fdd5d7ef93c4	[ "Apache-2.0" ]	null	null	null	python-structures-presentation/code/exercise.py	iz4vve-talks/misc-training	4f676080e54539cbaf283e611278fdd5d7ef93c4	[ "Apache-2.0" ]	null	null	null	python-structures-presentation/code/exercise.py	iz4vve-talks/misc-training	4f676080e54539cbaf283e611278fdd5d7ef93c4	[ "Apache-2.0" ]	null	null	null	from this import s # 1) count occurrence of words s and represent it in a dictionary # 2) count occurrences of characters in s that are not (1, h, e, /, \, −) # 3) print a sorted version of 1) based on the number of occurrences	45.6	73	0.714912	43	228	3.813953	0.744186	0	0	0	0	0	0	0	0	0	0.027778	0.210526	228	5	74	45.6	0.877778	0.885965	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
abf97c9d782a3033cc9723f88ee38ec6654effdd	171	py	Python	1890.py	ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python	9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da	[ "MIT" ]	1	2022-01-14T08:45:32.000Z	2022-01-14T08:45:32.000Z	1890.py	ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python	9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da	[ "MIT" ]	null	null	null	1890.py	ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python	9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da	[ "MIT" ]	null	null	null	t = int(input()) while t: t -= 1 c, d = map(int, input().split()) if (26*c) (10d) == 1: print(0) else: print((26c) * (10**d))	21.375	37	0.380117	27	171	2.407407	0.555556	0.246154	0.153846	0.184615	0	0	0	0	0	0	0.100917	0.362573	171	8	38	21.375	0.495413	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0.25	1	0	0	null	1	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
f9f60dfcb141f54dde21d8eee2c49035f1135c90	68	py	Python	torch/csrc/deploy/unity/example2.py	abishekvashok/pytorch	d4ae7896554d156732de34c3d3600050f9cb18ec	[ "Intel" ]	173	2017-05-12T08:54:16.000Z	2022-01-17T14:13:27.000Z	torch/csrc/deploy/unity/example2.py	abishekvashok/pytorch	d4ae7896554d156732de34c3d3600050f9cb18ec	[ "Intel" ]	1	2017-05-01T07:44:57.000Z	2017-05-01T07:57:08.000Z	torch/csrc/deploy/unity/example2.py	abishekvashok/pytorch	d4ae7896554d156732de34c3d3600050f9cb18ec	[ "Intel" ]	23	2017-05-15T10:47:38.000Z	2019-12-23T01:07:21.000Z	print("Hello, this is the second example for torch::deploy unity!")	34	67	0.75	11	68	4.636364	1	0	0	0	0	0	0	0	0	0	0	0.132353	68	1	68	68	0.864407	0	0	0	0	0.852941	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	null	0	0	0	1	0	0	0	0	1	5
e6269d3eff85b93adceeea9d1adf45570f8df046	200	py	Python	Backend/gige/store/admin.py	tanmayb104/Gige	481754eda8b3679b1a2ddfe04fc3ef994ba9e1fe	[ "MIT" ]	2	2021-08-19T14:50:40.000Z	2021-10-06T21:28:02.000Z	Backend/gige/store/admin.py	tanmayb104/Gige	481754eda8b3679b1a2ddfe04fc3ef994ba9e1fe	[ "MIT" ]	null	null	null	Backend/gige/store/admin.py	tanmayb104/Gige	481754eda8b3679b1a2ddfe04fc3ef994ba9e1fe	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Item, Transaction, Todoitem # Register your models here. admin.site.register(Item) admin.site.register(Transaction) admin.site.register(Todoitem)	25	47	0.815	27	200	6.037037	0.481481	0.165644	0.312883	0	0	0	0	0	0	0	0	0.095	200	8	48	25	0.900552	0.13	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
05172b6454b3ddbe8468471cb39c50b3022eb34a	291	py	Python	SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Flight_Dynamics/Dynamic_Stability/Approximations/__init__.py	Vinicius-Tanigawa/Undergraduate-Research-Project	e92372f07882484b127d7affe305eeec2238b8a9	[ "MIT" ]	null	null	null	SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Flight_Dynamics/Dynamic_Stability/Approximations/__init__.py	Vinicius-Tanigawa/Undergraduate-Research-Project	e92372f07882484b127d7affe305eeec2238b8a9	[ "MIT" ]	null	null	null	SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Flight_Dynamics/Dynamic_Stability/Approximations/__init__.py	Vinicius-Tanigawa/Undergraduate-Research-Project	e92372f07882484b127d7affe305eeec2238b8a9	[ "MIT" ]	null	null	null	## @defgroup Methods-Flight_Dynamics-Dynamic_Stability-Approximations Approximations # @ingroup Methods-Flight_Dynamics-Dynamic_Stability from .phugoid import phugoid from .short_period import short_period from .dutch_roll import dutch_roll from .spiral import spiral from .roll import roll	36.375	84	0.85567	38	291	6.342105	0.421053	0.107884	0.174274	0.232365	0.307054	0	0	0	0	0	0	0.092784	291	8	85	36.375	0.912879	0.453608	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
051d70fc3364fbe8dc621a382324cde40764931c	120	py	Python	Chapter 6/06/PaxHeader/cart.py	robert0714/Python-Testing-Cookbook-Second-Edition	c7c5d59e42e9ca2874faf12a6dd201736a45ca83	[ "MIT" ]	null	null	null	Chapter 6/06/PaxHeader/cart.py	robert0714/Python-Testing-Cookbook-Second-Edition	c7c5d59e42e9ca2874faf12a6dd201736a45ca83	[ "MIT" ]	null	null	null	Chapter 6/06/PaxHeader/cart.py	robert0714/Python-Testing-Cookbook-Second-Edition	c7c5d59e42e9ca2874faf12a6dd201736a45ca83	[ "MIT" ]	null	null	null	15 uid=2057284 20 ctime=1291669506 20 atime=1302270632 24 SCHILY.dev=234881026 23 SCHILY.ino=26571004 18 SCHILY.nlink=1	17.142857	23	0.825	21	120	4.714286	0.857143	0	0	0	0	0	0	0	0	0	0.527778	0.1	120	6	24	20	0.388889	0	0	0	0	0	0	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	0	1	0	0	1	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	5
0521955bc290ea2c992a7cdeeced5e262e244a93	25	py	Python	on.py	PabloEckardt/flask-raspberrypi-servo	e7f5eaf6e5a2be033d7e5442b126d98bb3fcf0f9	[ "MIT" ]	1	2019-10-12T10:37:09.000Z	2019-10-12T10:37:09.000Z	on.py	PabloEckardt/flask-raspberrypi-servo	e7f5eaf6e5a2be033d7e5442b126d98bb3fcf0f9	[ "MIT" ]	null	null	null	on.py	PabloEckardt/flask-raspberrypi-servo	e7f5eaf6e5a2be033d7e5442b126d98bb3fcf0f9	[ "MIT" ]	null	null	null	import servo servo.on()	6.25	12	0.72	4	25	4.5	0.75	0	0	0	0	0	0	0	0	0	0	0.16	25	3	13	8.333333	0.857143	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
054e06c496991b99041c294aeb8382b8c9f97bf8	247	py	Python	Server/Python/src/dbs/dao/MySQL/OutputModuleConfig/GetID.py	vkuznet/DBS	14df8bbe8ee8f874fe423399b18afef911fe78c7	[ "Apache-2.0" ]	8	2015-08-14T04:01:32.000Z	2021-06-03T00:56:42.000Z	Server/Python/src/dbs/dao/MySQL/OutputModuleConfig/GetID.py	yuyiguo/DBS	14df8bbe8ee8f874fe423399b18afef911fe78c7	[ "Apache-2.0" ]	162	2015-01-07T21:34:47.000Z	2021-10-13T09:42:41.000Z	Server/Python/src/dbs/dao/MySQL/OutputModuleConfig/GetID.py	yuyiguo/DBS	14df8bbe8ee8f874fe423399b18afef911fe78c7	[ "Apache-2.0" ]	16	2015-01-22T15:27:29.000Z	2021-04-28T09:23:28.000Z	#!/usr/bin/env python """ This module provides ApplicationExecutable.GetID data access object. """ from dbs.dao.Oracle.OutputModuleConfig.GetID import GetID as OraOutputModuleConfigGetID class GetID(OraOutputModuleConfigGetID): pass	24.7	87	0.781377	26	247	7.423077	0.846154	0	0	0	0	0	0	0	0	0	0	0.137652	247	9	88	27.444444	0.906103	0.360324	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	1	0	0	0	5
055d9048a435248a9fcb38d8a5cf722c6fdd1893	295	py	Python	backend/src/baserow/contrib/database/management/commands/clear_model_cache.py	ashishdhngr/baserow	b098678d2165eb7c42930ee24dc6753a3cb520c3	[ "MIT" ]	null	null	null	backend/src/baserow/contrib/database/management/commands/clear_model_cache.py	ashishdhngr/baserow	b098678d2165eb7c42930ee24dc6753a3cb520c3	[ "MIT" ]	null	null	null	backend/src/baserow/contrib/database/management/commands/clear_model_cache.py	ashishdhngr/baserow	b098678d2165eb7c42930ee24dc6753a3cb520c3	[ "MIT" ]	null	null	null	from django.core.management import BaseCommand from baserow.contrib.database.table.cache import clear_generated_model_cache class Command(BaseCommand): help = "Clears Baserow's internal generated model cache" def handle(self, args, *options): clear_generated_model_cache()	26.818182	76	0.776271	37	295	6.027027	0.675676	0.188341	0.255605	0.215247	0	0	0	0	0	0	0	0.145763	295	10	77	29.5	0.884921	0	0	1	0	0.159322	0	0	0	0	1	0.166667	false	0	0.333333	0	0.833333	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	null	0	0	0	0	0	1	0	1	0	5
0593ca6079c50f1590faecb8f958ba00f5b40178	70	py	Python	src/advanced python/executatble_dirs/package2/__init__.py	sudeep0901/python	7a50af12e72d21ca4cad7f2afa4c6f929552043f	[ "MIT" ]	null	null	null	src/advanced python/executatble_dirs/package2/__init__.py	sudeep0901/python	7a50af12e72d21ca4cad7f2afa4c6f929552043f	[ "MIT" ]	3	2019-12-26T05:13:55.000Z	2020-03-07T06:59:56.000Z	src/advanced python/executatble_dirs/package2/__init__.py	sudeep0901/python	7a50af12e72d21ca4cad7f2afa4c6f929552043f	[ "MIT" ]	null	null	null	from pprint import pprint pprint(locals()) pprint("I am in package 2")	23.333333	27	0.757143	12	70	4.416667	0.75	0	0	0	0	0	0	0	0	0	0.016393	0.128571	70	3	27	23.333333	0.852459	0	0	0	0	0.239437	0	0	0	0	1	0	true	0	0.333333	0	0.333333	1	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	5
552ebc73efbd7542d86241b90bd7da693c02dcdb	371	py	Python	EasyNN/model/__init__.py	danielwilczak101/EasyNN	89319e974c324dda228c6ecff7c39d723eda3ca2	[ "MIT" ]	5	2021-01-28T21:19:02.000Z	2022-02-03T05:47:47.000Z	EasyNN/model/__init__.py	danielwilczak101/EasyNN	89319e974c324dda228c6ecff7c39d723eda3ca2	[ "MIT" ]	1	2021-02-04T20:57:45.000Z	2021-03-03T14:49:44.000Z	EasyNN/model/__init__.py	danielwilczak101/EasyNN	89319e974c324dda228c6ecff7c39d723eda3ca2	[ "MIT" ]	2	2021-02-12T04:27:40.000Z	2021-12-19T20:11:20.000Z	import EasyNN.model.activation as activation from EasyNN.model.abc import Model from EasyNN.model.activation import * from EasyNN.model.bias import Bias from EasyNN.model.dense_layer import DenseLayer from EasyNN.model.network import Network from EasyNN.model.normalize import Normalize from EasyNN.model.randomize impor...	37.1	47	0.851752	54	371	5.833333	0.277778	0.314286	0.380952	0	0	0	0	0	0	0	0	0.097035	371	9	48	41.222222	0.940299	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
556fa9a9595506c188b8e4080766c65ac3de8210	661	py	Python	art/defences/detector/poisoning/__init__.py	meghana-sesetti/adversarial-robustness-toolbox	6a5ce9e4142734ad9004e5c093ef8fa754ea6b39	[ "MIT" ]	null	null	null	art/defences/detector/poisoning/__init__.py	meghana-sesetti/adversarial-robustness-toolbox	6a5ce9e4142734ad9004e5c093ef8fa754ea6b39	[ "MIT" ]	null	null	null	art/defences/detector/poisoning/__init__.py	meghana-sesetti/adversarial-robustness-toolbox	6a5ce9e4142734ad9004e5c093ef8fa754ea6b39	[ "MIT" ]	1	2020-09-28T12:58:01.000Z	2020-09-28T12:58:01.000Z	""" Module implementing detector-based defences against poisoning attacks. """ from art.defences.detector.poisoning.poison_filtering_defence import PoisonFilteringDefence from art.defences.detector.poisoning.ground_truth_evaluator import GroundTruthEvaluator from art.defences.detector.poisoning.activation_defence impor...	60.090909	95	0.889561	73	661	7.931507	0.438356	0.084629	0.181347	0.278066	0.386874	0	0	0	0	0	0	0.055976	661	10	96	66.1	0.927885	0.1059	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
557071d387c64c39b3a16559f3ae4523eed8a4a3	352	py	Python	dreamerv2/__init__.py	Tiamat-Tech/dreamerv2	9bc2a315c8abc9caadaa247d458658c4d168fadb	[ "MIT" ]	null	null	null	dreamerv2/__init__.py	Tiamat-Tech/dreamerv2	9bc2a315c8abc9caadaa247d458658c4d168fadb	[ "MIT" ]	null	null	null	dreamerv2/__init__.py	Tiamat-Tech/dreamerv2	9bc2a315c8abc9caadaa247d458658c4d168fadb	[ "MIT" ]	null	null	null	import pathlib import sys sys.path.append(str(pathlib.Path(__file__).parent)) from .common import Config from .common import DictSpaces from .common import Flags from .common import ResizeImage from .common import TerminalOutput from .common import JSONLOutput from .common import TensorBoardOutput from .train import...	22	51	0.821023	48	352	5.9375	0.416667	0.245614	0.392982	0	0	0	0	0	0	0	0	0.125	352	15	52	23.466667	0.925325	0	0	0	0	0	0	0	0	0	1	0	true	0	0.916667	0	0.916667	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
e95666351502e66aad620a456381469bd18cd56d	3,571	py	Python	quick_extract.py	YujieLu10/tslam	1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd	[ "Apache-2.0" ]	null	null	null	quick_extract.py	YujieLu10/tslam	1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd	[ "Apache-2.0" ]	null	null	null	quick_extract.py	YujieLu10/tslam	1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd	[ "Apache-2.0" ]	null	null	null	obj_map = [["glass", 0.015, [0, 0, 0], [0, 0, 0.05510244]], # 0.06 ["donut", 0.01, [0, 0, 0], [0, 0, 0.01466367]], ["heart", 0.0006, [0.70738827, -0.70682518, 0], [0, 0, 0.8]], ["airplane", 1, [0, 0, 0], [0, 0, 2.58596408e-02]], ["alarmclock", 1, [0.70738827, -0.70682518, 0], [0,...	55.796875	80	0.429852	576	3,571	2.65625	0.232639	0.377778	0.44902	0.44183	0.346405	0.346405	0.326797	0.139216	0	0	0.374855	0.273873	3,571	64	81	55.796875	0.215195	0.00112	0	0	0	0.139652	0	0	0	0	1	0	false	0	0	0	0	0.015625	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
e97113b9367af5677fd3839f5c1ac2656452ef27	5,278	py	Python	prob_unet/ConvGaussian.py	FrankWJW/Probabilistic-Unet-Pytorch	f4f57383b55a72bb6c6bca849a9c83b313cb3968	[ "Apache-2.0" ]	null	null	null	prob_unet/ConvGaussian.py	FrankWJW/Probabilistic-Unet-Pytorch	f4f57383b55a72bb6c6bca849a9c83b313cb3968	[ "Apache-2.0" ]	null	null	null	prob_unet/ConvGaussian.py	FrankWJW/Probabilistic-Unet-Pytorch	f4f57383b55a72bb6c6bca849a9c83b313cb3968	[ "Apache-2.0" ]	null	null	null	import torch import torch.nn as nn import torch.nn.functional as F from torch.distributions import Normal, Independent, kl from prob_unet.Encoders import Encoder from utils.utils import init_weights,init_weights_orthogonal_normal import numpy as np class IsotropicGaussian(nn.Module): """ A convolutional net t...	38.246377	134	0.643804	702	5,278	4.621083	0.213675	0.059186	0.046239	0.036991	0.743218	0.73767	0.735203	0.708385	0.67016	0.67016	0.012688	0.268283	5,278	138	135	38.246377	0.827292	0.129973	0.752475	0	0	0.010979	0	0	0	0	1	0.039604	false	0	0.069307	0	0.148515	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
e989e113ce5a6473abcb3ca29ca749605efb1295	10,782	py	Python	dlmb/activations.py	Jonathan-Andrews/dlmb	552148bcac2ffb4308c8db24599c458652684ed2	[ "MIT" ]	5	2019-11-23T13:32:21.000Z	2022-01-01T16:32:48.000Z	dlmb/activations.py	Jonathan-Andrews/dlmb	552148bcac2ffb4308c8db24599c458652684ed2	[ "MIT" ]	null	null	null	dlmb/activations.py	Jonathan-Andrews/dlmb	552148bcac2ffb4308c8db24599c458652684ed2	[ "MIT" ]	null	null	null	from abc import ABCMeta, abstractmethod import numpy as np from utils.function_helpers import * class Base_Activation(metaclass=ABCMeta): @abstractmethod def __init__(self) -> None: """ The Base_Activation class is an abstract class for all activation functions. All activation functions must in...	25.309859	166	0.657948	1,532	10,782	4.575718	0.110313	0.079601	0.085307	0.054779	0.72796	0.711127	0.706134	0.670613	0.670613	0.670613	0.005	0.239473	10,782	425	167	25.369412	0.849878	0.540438	0.472222	0	0.018519	0.089762	0	0	0	0	1	0.231481	false	0	0.027778	0	0.564815	0.009259	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	1	0	5
e99128b6f26524f642e9f254e622b7311178d6cf	175	py	Python	setup.py	dpford/sheer	105b60f5c96a6130699561393e8c9ca5ccfb36f5	[ "CC0-1.0" ]	null	null	null	setup.py	dpford/sheer	105b60f5c96a6130699561393e8c9ca5ccfb36f5	[ "CC0-1.0" ]	null	null	null	setup.py	dpford/sheer	105b60f5c96a6130699561393e8c9ca5ccfb36f5	[ "CC0-1.0" ]	null	null	null	from setuptools import setup setup(name='sheer', version='1.0', py_modules=['sheer'], scripts =['sheer/scripts/sheer'], test_suite = 'tests', )	19.444444	39	0.582857	20	175	5	0.75	0.24	0.34	0	0	0	0	0	0	0	0.015267	0.251429	175	8	40	21.875	0.748092	0	0	0	0	0.211429	0	0	0	0	1	0	true	0	0.142857	0	0.142857	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
e9b63ac504050ff860eca5d04b21db0a2ace90a7	14	py	Python	modul/test.py	onselaydin/pytry	314aa50b6f8535e275dc8a2edd0c21637fb5a745	[ "Apache-2.0" ]	null	null	null	modul/test.py	onselaydin/pytry	314aa50b6f8535e275dc8a2edd0c21637fb5a745	[ "Apache-2.0" ]	null	null	null	modul/test.py	onselaydin/pytry	314aa50b6f8535e275dc8a2edd0c21637fb5a745	[ "Apache-2.0" ]	null	null	null	print('onsel')	14	14	0.714286	2	14	5	1	0	0	0	0	0	0	0	0	0	0	0	14	1	14	14	0.714286	0	0	0	0	0.333333	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	5
e9d3368c2e7ee4210444d51c1cd7a257d219d1c0	209	py	Python	users/admin.py	onizuka341/mumbleapi	ddcf3ae35c8ef6590afe2e34a1fc278a3be0e148	[ "Apache-2.0" ]	null	null	null	users/admin.py	onizuka341/mumbleapi	ddcf3ae35c8ef6590afe2e34a1fc278a3be0e148	[ "Apache-2.0" ]	null	null	null	users/admin.py	onizuka341/mumbleapi	ddcf3ae35c8ef6590afe2e34a1fc278a3be0e148	[ "Apache-2.0" ]	null	null	null	from django.contrib import admin # Register your models here. from .models import TopicTag, SkillTag, UserProfile admin.site.register(TopicTag) admin.site.register(SkillTag) admin.site.register(UserProfile)	23.222222	51	0.818182	27	209	6.333333	0.481481	0.157895	0.298246	0	0	0	0	0	0	0	0	0.095694	209	8	52	26.125	0.904762	0.124402	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
7575477595746c7efe8b711e7af4095e47326893	55	py	Python	packages/server/invites/src/app/infra/middlewares/__init__.py	gbartoczevicz/moosic	003ff5cff628505093cc08ad0fbd273272172a51	[ "MIT" ]	3	2021-09-30T00:41:31.000Z	2022-03-15T00:14:23.000Z	packages/server/invites/src/app/infra/middlewares/__init__.py	gbartoczevicz/moosic	003ff5cff628505093cc08ad0fbd273272172a51	[ "MIT" ]	13	2021-09-20T22:29:52.000Z	2021-12-05T01:59:34.000Z	packages/server/invites/src/app/infra/middlewares/__init__.py	gabrielbartoczevicz/moosic	003ff5cff628505093cc08ad0fbd273272172a51	[ "MIT" ]	1	2021-11-10T22:11:55.000Z	2021-11-10T22:11:55.000Z	from .ensure_authenticated import ensure_authenticated	27.5	54	0.909091	6	55	8	0.666667	0.791667	0	0	0	0	0	0	0	0	0	0.072727	55	1	55	55	0.941176	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
7588aeb0eb91ec07115ecc85b6996dc9abd279ec	40	py	Python	hublabbot/github/__init__.py	Potpourri/HubLabBot	791ff834f56e4d1635737dd2e084db3c5585188d	[ "MIT" ]	null	null	null	hublabbot/github/__init__.py	Potpourri/HubLabBot	791ff834f56e4d1635737dd2e084db3c5585188d	[ "MIT" ]	5	2020-02-24T15:33:04.000Z	2020-06-13T11:16:02.000Z	hublabbot/github/__init__.py	Potpourri/HubLabBot	791ff834f56e4d1635737dd2e084db3c5585188d	[ "MIT" ]	null	null	null	"""Package for GitHub-specific code."""	20	39	0.7	5	40	5.6	1	0	0	0	0	0	0	0	0	0	0	0.1	40	1	40	40	0.777778	0.825	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
75dabe200003356e2a5c17a799e05353beae0874	162	py	Python	hi_nbdev/core.py	deutschmn/hi_nbdev	a29f245113c6ee7bed9a46073a4457160df1bf55	[ "Apache-2.0" ]	null	null	null	hi_nbdev/core.py	deutschmn/hi_nbdev	a29f245113c6ee7bed9a46073a4457160df1bf55	[ "Apache-2.0" ]	null	null	null	hi_nbdev/core.py	deutschmn/hi_nbdev	a29f245113c6ee7bed9a46073a4457160df1bf55	[ "Apache-2.0" ]	null	null	null	# AUTOGENERATED! DO NOT EDIT! File to edit: 00_core.ipynb (unless otherwise specified). __all__ = ['do_something'] # Cell def do_something(): print('brztt')	23.142857	87	0.716049	22	162	4.954545	0.818182	0.201835	0	0	0	0	0	0	0	0	0.014599	0.154321	162	7	88	23.142857	0.781022	0.555556	0	1	0	0.242857	0	0	0	0	1	0.333333	false	0	0	0	0.333333	0.333333	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	null	0	0	1	0	0	0	0	0	0	5
75e60091ec0c2894825137d0c64ff93ad21662c6	713	py	Python	Services/DataService/IDataService.py	carlCarlson6/NERwithBERT	109733c3816e39b0eff201a3e69acddf8a121844	[ "MIT" ]	1	2020-10-11T08:47:43.000Z	2020-10-11T08:47:43.000Z	Services/DataService/IDataService.py	carlCarlson6/NERwithBERT	109733c3816e39b0eff201a3e69acddf8a121844	[ "MIT" ]	null	null	null	Services/DataService/IDataService.py	carlCarlson6/NERwithBERT	109733c3816e39b0eff201a3e69acddf8a121844	[ "MIT" ]	null	null	null	from abc import ABC, abstractmethod import pandas as pd class IDataService(): """ DataService interface """ @abstractmethod def __init__(self): self.DataFrame: pd.DataFrame pass @abstractmethod def LoadCsv(self, DataPath, CsvSeparator, Encoding): pass @ab...	17.390244	68	0.619916	65	713	6.738462	0.476923	0.310502	0.335616	0.285388	0	0	0	0	0	0	0	0.30575	713	41	69	17.390244	0.884848	0.029453	0.571429	0	0	0	0	0	0	0	1	0.285714	false	0.285714	0.071429	0	0.392857	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	5
f9363dafcf3b31c7fd988c1331b38a1fef237dc9	207	py	Python	temas/tema1/codigo/t2e03b.py	GabJL/FP2021	9c2c80c3bd0b7e112f66475c48ecdcf20b611338	[ "MIT" ]	1	2021-11-29T12:12:48.000Z	2021-11-29T12:12:48.000Z	temas/tema1/codigo/t2e03b.py	GabJL/FP2021	9c2c80c3bd0b7e112f66475c48ecdcf20b611338	[ "MIT" ]	null	null	null	temas/tema1/codigo/t2e03b.py	GabJL/FP2021	9c2c80c3bd0b7e112f66475c48ecdcf20b611338	[ "MIT" ]	null	null	null	from turtle import * print("Dibujando un pentágono") lado = 5 angulo = 360 / 5 forward(80) left(angulo) forward(80) left(angulo) forward(80) left(angulo) forward(80) left(angulo) forward(80) left(angulo)	11.5	31	0.729469	32	207	4.71875	0.4375	0.298013	0.430464	0.629139	0.629139	0.629139	0.629139	0.629139	0.629139	0.629139	0.083799	0.135266	207	17	32	12.176471	0.759777	0	0.714286	0	0	0.10628	0	0	0	0	1	0	false	0	0.071429	0	0.071429	0.071429	0	0	0	null	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
f9a7b660603821a1185d1de9b48d8d0d4875eeb0	372	py	Python	Python/src/bqs/linkedlist.py	chatterjeem-nu/INFO6206_Assignment3	d2d065a11a9a3f384500c15b7430f1343e47e42b	[ "Apache-2.0" ]	3	2021-04-20T05:06:16.000Z	2022-03-26T23:55:11.000Z	Python/src/bqs/linkedlist.py	chatterjeem-nu/INFO6206_Assignment3	d2d065a11a9a3f384500c15b7430f1343e47e42b	[ "Apache-2.0" ]	null	null	null	Python/src/bqs/linkedlist.py	chatterjeem-nu/INFO6206_Assignment3	d2d065a11a9a3f384500c15b7430f1343e47e42b	[ "Apache-2.0" ]	1	2021-03-02T01:19:42.000Z	2021-03-02T01:19:42.000Z	from abc import abstractmethod, ABC from typing import Generic from util.generic_type import T class LinkedList(ABC, Generic[T]): @abstractmethod def add(self, item): pass @abstractmethod def remove(self): pass @abstractmethod def get_head(self): pass @abstract...	15.5	35	0.642473	44	372	5.363636	0.5	0.288136	0.266949	0.211864	0	0	0	0	0	0	0	0.284946	372	23	36	16.173913	0.887218	0	0.5	0	0	0	0	0	0	0	1	0.25	false	0.25	0.1875	0	0.5	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	5
f9b109c9aca2a138fbb5000d1181efddd1d5a476	129	py	Python	Ejercicios/Palabra/Ejercicio2.py	Dharian/pythonProject	262d2b58d99befe668d29198bb28c98b75597a34	[ "MIT" ]	null	null	null	Ejercicios/Palabra/Ejercicio2.py	Dharian/pythonProject	262d2b58d99befe668d29198bb28c98b75597a34	[ "MIT" ]	null	null	null	Ejercicios/Palabra/Ejercicio2.py	Dharian/pythonProject	262d2b58d99befe668d29198bb28c98b75597a34	[ "MIT" ]	null	null	null	nombre= str(input("Cual es tu nombre?")) edad=int(input("Cual es tu edad?")) print("Tu nombre es: ", nombre, "y tu edad: ", edad)	43	52	0.651163	23	129	3.652174	0.434783	0.214286	0.261905	0.309524	0	0	0	0	0	0	0	0.139535	129	3	52	43	0.756757	0	0	0	0	0.453846	0	0	0	0	1	0	false	0	0	0	0	0.333333	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
f9cf6daeb6f2c855873c1a060b15672323aa46b8	63	py	Python	src/test/integration/__init__.py	HenrikPilz/BMEcatConverter	28c6840fc70a3f04e3eae5fc7be32c7bc779c1da	[ "BSD-3-Clause" ]	1	2021-03-14T08:20:51.000Z	2021-03-14T08:20:51.000Z	src/test/integration/__init__.py	HenrikPilz/BMEcatConverter	28c6840fc70a3f04e3eae5fc7be32c7bc779c1da	[ "BSD-3-Clause" ]	1	2021-11-29T09:56:18.000Z	2021-12-01T22:01:13.000Z	src/test/integration/__init__.py	HenrikPilz/BMEcatConverter	28c6840fc70a3f04e3eae5fc7be32c7bc779c1da	[ "BSD-3-Clause" ]	2	2021-08-30T08:14:34.000Z	2021-09-28T15:10:23.000Z	from test.integration.testConverting import TestMainConverter	31.5	62	0.888889	6	63	9.333333	1	0	0	0	0	0	0	0	0	0	0	0.079365	63	1	63	63	0.965517	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
ddcd3910070f0b170d271d7c2a1d18745f6c2956	218	py	Python	core/file_manager/__init__.py	anthill-arch/platform	ff45dc71b2f3141bbd95baaf4da7ff1d2ac24ca0	[ "MIT" ]	null	null	null	core/file_manager/__init__.py	anthill-arch/platform	ff45dc71b2f3141bbd95baaf4da7ff1d2ac24ca0	[ "MIT" ]	null	null	null	core/file_manager/__init__.py	anthill-arch/platform	ff45dc71b2f3141bbd95baaf4da7ff1d2ac24ca0	[ "MIT" ]	null	null	null	from anthill.framework.core.files.storage import default_storage class FileManager: def __init__(self, storage=None): self.storage = storage or default_storage # TODO: provide file system operations	24.222222	64	0.756881	27	218	5.888889	0.740741	0.176101	0	0	0	0	0	0	0	0	0	0.178899	218	8	65	27.25	0.888268	0.165138	0	0	0	0	0	0	0.125	0	1	0.25	false	0	0.25	0	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	1	0	1	0	0	0	0	1	0	5
fb0bf5528c2ab452f1a995b2bc2d14925fbe95c3	134	py	Python	ursa/__init__.py	adgirish/ursa	c14fccacb81efd33e86453f979cb4ec799aa8a3a	[ "Apache-2.0" ]	null	null	null	ursa/__init__.py	adgirish/ursa	c14fccacb81efd33e86453f979cb4ec799aa8a3a	[ "Apache-2.0" ]	null	null	null	ursa/__init__.py	adgirish/ursa	c14fccacb81efd33e86453f979cb4ec799aa8a3a	[ "Apache-2.0" ]	null	null	null	from . import database from .local_manager import Graph_manager from . import graph __all__ = ["database", "Graph_manager", "graph"]	22.333333	48	0.761194	17	134	5.588235	0.411765	0.210526	0	0	0	0	0	0	0	0	0	0.134328	134	5	49	26.8	0.818966	0	0	0	0	0.19403	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	5
fb2bf2c47ae88809e01c1c98586563b8863ee02c	1,434	py	Python	tests/function/test_activations.py	gustavgransbo/gustavgrad	61fdf3c763edf1660c789248184a73ee0a748881	[ "MIT" ]	null	null	null	tests/function/test_activations.py	gustavgransbo/gustavgrad	61fdf3c763edf1660c789248184a73ee0a748881	[ "MIT" ]	15	2020-07-08T18:15:36.000Z	2021-04-21T20:42:04.000Z	tests/function/test_activations.py	gustavgransbo/gustavgrad	61fdf3c763edf1660c789248184a73ee0a748881	[ "MIT" ]	null	null	null	import numpy as np from gustavgrad import Tensor from gustavgrad.function import sigmoid, tanh class TestActivation: def test_sigmoid(self) -> None: t1 = Tensor(np.zeros(shape=(3, 3, 3)), requires_grad=True) t2 = sigmoid(t1) assert t2.shape == (3, 3, 3) np.testing.assert_allclose...	28.117647	73	0.591353	218	1,434	3.770642	0.183486	0.048662	0.085158	0.097324	0.777372	0.777372	0.777372	0.777372	0.777372	0.76399	0.07531	0.26848	1,434	50	74	28.68	0.708294	0	0.611111	0	0	0	0	0	0	0.277778	1	0.166667	false	0	0.083333	0	0.277778	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
34a27b401b6e2f9976cd3366a41af38b9cd56d0d	149	py	Python	HW7/AndriiBabii/CW_6.py	kolyasalubov/Lv-677.PythonCore	c9f9107c734a61e398154a90b8a3e249276c2704	[ "MIT" ]	null	null	null	HW7/AndriiBabii/CW_6.py	kolyasalubov/Lv-677.PythonCore	c9f9107c734a61e398154a90b8a3e249276c2704	[ "MIT" ]	null	null	null	HW7/AndriiBabii/CW_6.py	kolyasalubov/Lv-677.PythonCore	c9f9107c734a61e398154a90b8a3e249276c2704	[ "MIT" ]	6	2022-02-22T22:30:49.000Z	2022-03-28T12:51:19.000Z	#https://www.codewars.com/kata/convert-boolean-values-to-strings-yes-or-no def bool_to_word(boolean): return "Yes" if boolean == True else "No"	29.8	74	0.731544	25	149	4.28	0.8	0	0	0	0	0	0	0	0	0	0	0.107383	149	4	75	37.25	0.804511	0.489933	0	0	0	0.066667	0	0	0	0	1	0.5	false	0	0	0.5	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	5
34a970ccb17863c49f00d5b985d7f3b0fb330de2	57	py	Python	lightbus/schema/__init__.py	gcollard/lightbus	d04deeda8ccef5a582b79255725ca2025a085c02	[ "Apache-2.0" ]	178	2017-07-22T12:35:00.000Z	2022-03-28T07:53:13.000Z	lightbus/schema/__init__.py	adamcharnock/warren	5e7069da06cd37a8131e8c592ee957ccb73603d5	[ "Apache-2.0" ]	26	2017-08-03T12:09:29.000Z	2021-10-19T16:47:18.000Z	lightbus/schema/__init__.py	adamcharnock/warren	5e7069da06cd37a8131e8c592ee957ccb73603d5	[ "Apache-2.0" ]	19	2017-09-15T17:51:24.000Z	2022-02-28T13:00:16.000Z	from .schema import Schema, Parameter, WildcardParameter	28.5	56	0.842105	6	57	8	0.833333	0	0	0	0	0	0	0	0	0	0	0.105263	57	1	57	57	0.941176	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
550622b0ea83f487425d2bb547963ab1e28b0464	95	py	Python	src/advanced python/executatble_dirs/package1/__init__.py	sudeep0901/python	7a50af12e72d21ca4cad7f2afa4c6f929552043f	[ "MIT" ]	null	null	null	src/advanced python/executatble_dirs/package1/__init__.py	sudeep0901/python	7a50af12e72d21ca4cad7f2afa4c6f929552043f	[ "MIT" ]	3	2019-12-26T05:13:55.000Z	2020-03-07T06:59:56.000Z	src/advanced python/executatble_dirs/package1/__init__.py	sudeep0901/python	7a50af12e72d21ca4cad7f2afa4c6f929552043f	[ "MIT" ]	null	null	null	from pprint import pprint pprint(locals()) pprint("I am in package 1") from .. import package2	19	27	0.747368	15	95	4.733333	0.666667	0	0	0	0	0	0	0	0	0	0.024691	0.147368	95	5	28	19	0.851852	0	0	0	0	0.177083	0	0	0	0	1	0	true	0	0.5	0	0.5	0.75	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	1	5
5517f2f169db6cc097a7a2359857b3bed12bacb3	62,712	py	Python	experiments/experiments_toy/convergence/nmtf_icm.py	ThomasBrouwer/BNMTF	34df0c3cebc5e67a5e39762b9305b75d73a2a0e0	[ "Apache-2.0" ]	16	2017-04-19T12:04:47.000Z	2021-12-03T00:50:43.000Z	experiments/experiments_toy/convergence/nmtf_icm.py	ThomasBrouwer/BNMTF	34df0c3cebc5e67a5e39762b9305b75d73a2a0e0	[ "Apache-2.0" ]	1	2017-04-20T11:26:16.000Z	2017-04-20T11:26:16.000Z	experiments/experiments_toy/convergence/nmtf_icm.py	ThomasBrouwer/BNMTF	34df0c3cebc5e67a5e39762b9305b75d73a2a0e0	[ "Apache-2.0" ]	8	2015-12-15T05:29:43.000Z	2019-06-05T03:14:11.000Z	""" Recover the toy dataset using ICM. We can plot the MSE, R2 and Rp as it converges, on the entire dataset. We have I=100, J=80, K=5, L=5, and no test data. We give flatter priors (1/10) than what was used to generate the data (1). """ import sys, os project_location = os.path.dirname(__file__)+"/../../../../" sys...	1,140.218182	61,407	0.850077	6,226	62,712	8.557983	0.500964	0.000676	0.000488	0	0	0	0	0	0	0	0.880109	0.050756	62,712	55	61,408	1,140.218182	0.014951	0.002711	0	0	0	0.12142	0.024055	0	0	0	0	null	null	0	0.125	null	null	0.041667	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	1	1	1	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	5
9b2ae82c898bc1856cb7dfa44bb822e0d24139aa	284	py	Python	opencv_learn/charpter08/demo_08.12.py	zhangxinzhou/play_game	854448f8416b2d3f98bb2c3ed0f7d834a61593de	[ "Apache-2.0" ]	null	null	null	opencv_learn/charpter08/demo_08.12.py	zhangxinzhou/play_game	854448f8416b2d3f98bb2c3ed0f7d834a61593de	[ "Apache-2.0" ]	null	null	null	opencv_learn/charpter08/demo_08.12.py	zhangxinzhou/play_game	854448f8416b2d3f98bb2c3ed0f7d834a61593de	[ "Apache-2.0" ]	null	null	null	import cv2 kernel1 = cv2.getStructuringElement(cv2.MORPH_RECT, (5, 5)) kernel2 = cv2.getStructuringElement(cv2.MORPH_CROSS, (5, 5)) kernel3 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5)) print("kernel1=\n", kernel1) print("kernel2=\n", kernel2) print("kernel3=\n", kernel3)	28.4	62	0.742958	38	284	5.473684	0.342105	0.346154	0.389423	0.461538	0	0	0	0	0	0	0.084942	0.088028	284	9	63	31.555556	0.718147	0	0	0	0	0.105634	0	0	0	0	1	0	false	0	0.142857	0	0.142857	0.428571	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	5
9b4e5fe5345bdc19728f0a69b2447a1c3513a2ad	518	py	Python	extractor/horkos-extractor/stat_technique/statisticaltechnique.py	JoeRegnier/horkos	aec8fa5dc205ea7a6b751cc17fb470f34e99a1c4	[ "Apache-2.0" ]	2	2019-08-29T23:21:43.000Z	2020-01-15T23:41:29.000Z	extractor/horkos-extractor/stat_technique/statisticaltechnique.py	JoeRegnier/horkos	aec8fa5dc205ea7a6b751cc17fb470f34e99a1c4	[ "Apache-2.0" ]	12	2019-09-26T20:05:09.000Z	2022-02-10T10:09:09.000Z	extractor/horkos-extractor/stat_technique/statisticaltechnique.py	JoeRegnier/horkos	aec8fa5dc205ea7a6b751cc17fb470f34e99a1c4	[ "Apache-2.0" ]	2	2020-01-15T23:41:33.000Z	2020-10-16T00:18:00.000Z	__all__ = ('') """ Parent class to keep all statistical queries uniform """ class StatisticalTechnique(): def __init__(self, freqmap, latest_freqmap): self.freqmap = freqmap self.latest_freqmap = latest_freqmap self.scores = dict() def get_name(self): pass def process(s...	18.5	52	0.638996	60	518	5.233333	0.35	0.207006	0.16242	0.152866	0	0	0	0	0	0	0	0.274131	518	28	53	18.5	0.835106	0	0.125	0	0	0	0	0	0	0	1	0.375	false	0.125	0	0.1875	0.625	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	1	0	5
9b7de92b2643aca1abd9228dac81dc856799c2e2	138	py	Python	cap3/ex6.py	felipesch92/livroPython	061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307	[ "MIT" ]	null	null	null	cap3/ex6.py	felipesch92/livroPython	061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307	[ "MIT" ]	null	null	null	cap3/ex6.py	felipesch92/livroPython	061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307	[ "MIT" ]	null	null	null	s = float(input('Informe o salário: ')) a = float(input('Informe o aumento em %: ')) t = s + (s * a) / 100 print(f'Novo salário: R$ {t}')	27.6	44	0.57971	24	138	3.333333	0.625	0.25	0.425	0.45	0	0	0	0	0	0	0.027027	0.195652	138	4	45	34.5	0.693694	0	0	0	0	0.456522	0	0	0	0	1	0	false	0	0	0	0	0.25	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	5
9b895a088ecc7fb9c6cc4fd4c991043052e5cf09	101	py	Python	src/lightuptraining/sources/antplus/device.py	marcelblijleven/light-up-training	e0310ec024c03064934f5c01d3b336dd81fac93c	[ "MIT" ]	1	2021-12-05T13:55:04.000Z	2021-12-05T13:55:04.000Z	src/lightuptraining/sources/antplus/device.py	marcelblijleven/light-up-training	e0310ec024c03064934f5c01d3b336dd81fac93c	[ "MIT" ]	null	null	null	src/lightuptraining/sources/antplus/device.py	marcelblijleven/light-up-training	e0310ec024c03064934f5c01d3b336dd81fac93c	[ "MIT" ]	null	null	null	from typing import Protocol, runtime_checkable @runtime_checkable class Device(Protocol): pass	14.428571	46	0.80198	12	101	6.583333	0.75	0.405063	0	0	0	0	0	0	0	0	0	0.148515	101	6	47	16.833333	0.918605	0	0	0	0	0	0	0	0	0	1	0	true	0.25	0.25	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	0	5
9b99d0b6c3178578349d84800a825f595cba5bbb	69	py	Python	gui/component/__init__.py	timothyhalim/Render-Manager	b919a6a2290c25fe7799d661fa7839f99bf0a5cc	[ "MIT" ]	null	null	null	gui/component/__init__.py	timothyhalim/Render-Manager	b919a6a2290c25fe7799d661fa7839f99bf0a5cc	[ "MIT" ]	null	null	null	gui/component/__init__.py	timothyhalim/Render-Manager	b919a6a2290c25fe7799d661fa7839f99bf0a5cc	[ "MIT" ]	null	null	null	from .ImageButton import ImageButton from .SearchBar import SearchBar	34.5	36	0.869565	8	69	7.5	0.5	0	0	0	0	0	0	0	0	0	0	0.101449	69	2	37	34.5	0.967742	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
9bbf141f88690bad45e6c6a5fb82654bc40afb7d	33	py	Python	django-stdimage/__init__.py	gitdaniel228/realtor	4366d57b064be87b31c8a036b3ed7a99b2036461	[ "BSD-3-Clause" ]	null	null	null	django-stdimage/__init__.py	gitdaniel228/realtor	4366d57b064be87b31c8a036b3ed7a99b2036461	[ "BSD-3-Clause" ]	null	null	null	django-stdimage/__init__.py	gitdaniel228/realtor	4366d57b064be87b31c8a036b3ed7a99b2036461	[ "BSD-3-Clause" ]	null	null	null	from fields import StdImageField	16.5	32	0.878788	4	33	7.25	1	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	1	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
32d86c367669c8ecfea9f2827b191948fd22429d	9,527	py	Python	generate-code/configs.py	honzaskypala/osloveni	3574f13aa895e48c98d4fd41c5571adf2ad71fae	[ "WTFPL", "Unlicense" ]	21	2017-12-15T23:39:59.000Z	2022-02-15T09:38:50.000Z	generate-code/configs.py	honzaskypala/osloveni	3574f13aa895e48c98d4fd41c5571adf2ad71fae	[ "WTFPL", "Unlicense" ]	3	2019-01-16T14:11:31.000Z	2020-09-22T19:59:58.000Z	generate-code/configs.py	honzaskypala/osloveni	3574f13aa895e48c98d4fd41c5571adf2ad71fae	[ "WTFPL", "Unlicense" ]	7	2019-06-07T02:39:01.000Z	2021-03-17T01:10:04.000Z	configs = { "python" : { "filesuffix" : ".py", "commentstart" : "'''", "commentend" : "'''", "indent" : " ", "blockstart" : "", "blockend" : "", "fu...	53.223464	148	0.313005	545	9,527	5.433028	0.211009	0.040527	0.021952	0.027018	0.788585	0.788585	0.732523	0.696049	0.658224	0.65721	0.013413	0.50698	9,527	178	149	53.522472	0.61699	0.006508	0.740113	0	0.011299	0.381409	0.040715	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	1	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	5
fd433f4fac94107a19028d7554a36bd7532e7930	125	py	Python	pypy/annotation/__init__.py	camillobruni/pygirl	ddbd442d53061d6ff4af831c1eab153bcc771b5a	[ "MIT" ]	12	2016-01-06T07:10:28.000Z	2021-05-13T23:02:02.000Z	pypy/annotation/__init__.py	woodrow/pyoac	b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7	[ "MIT" ]	null	null	null	pypy/annotation/__init__.py	woodrow/pyoac	b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7	[ "MIT" ]	2	2016-07-29T07:09:50.000Z	2016-10-16T08:50:26.000Z	# workaround for a circular imports problem # e.g. if you import pypy.annotation.listdef first import pypy.annotation.model	25	50	0.8	19	125	5.263158	0.842105	0.2	0.4	0	0	0	0	0	0	0	0	0.136	125	4	51	31.25	0.925926	0.72	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
b5c4d6c5bc6a509c46ea5cc7ea6ab2da5a57faa7	362	py	Python	students/k3343/practical_works/Tsybaeva_Arina/practise3/second_app/models.py	TonikX/ITMO_ICT_-WebProgramming_2020	ba566c1b3ab04585665c69860b713741906935a0	[ "MIT" ]	10	2020-03-20T09:06:12.000Z	2021-07-27T13:06:02.000Z	students/k3343/practical_works/Tsybaeva_Arina/practise3/second_app/models.py	TonikX/ITMO_ICT_-WebProgramming_2020	ba566c1b3ab04585665c69860b713741906935a0	[ "MIT" ]	134	2020-03-23T09:47:48.000Z	2022-03-12T01:05:19.000Z	students/k3343/practical_works/Tsybaeva_Arina/practise3/second_app/models.py	TonikX/ITMO_ICT_-WebProgramming_2020	ba566c1b3ab04585665c69860b713741906935a0	[ "MIT" ]	71	2020-03-20T12:45:56.000Z	2021-10-31T19:22:25.000Z	from django.db import models from django.contrib.auth.models import AbstractUser # Create your models here. class User(AbstractUser): passport_number = models.CharField(max_length=10, blank=True, null=True) home_address = models.CharField(max_length=40, blank=True, null=True) nationality = models.CharFi...	30.166667	76	0.773481	51	362	5.392157	0.509804	0.163636	0.196364	0.261818	0.312727	0.312727	0.312727	0.312727	0.312727	0	0.018987	0.127072	362	11	77	32.909091	0.851266	0.066298	0	0	0	0	0	0	0	0	1	0	false	0.166667	0.333333	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	5
b5f64cdbeb6b4b8cfd49611e65211aab5ef86c35	179	py	Python	volunteer/views.py	MissionBit/MB_Portal	a8bbde9c25b0863a193cb4adb7a419493dd322ff	[ "PostgreSQL" ]	1	2019-08-12T01:57:11.000Z	2019-08-12T01:57:11.000Z	volunteer/views.py	MissionBit/MB_Portal	a8bbde9c25b0863a193cb4adb7a419493dd322ff	[ "PostgreSQL" ]	35	2019-06-25T01:09:43.000Z	2022-02-10T08:13:09.000Z	volunteer/views.py	MissionBit/MB_Portal	a8bbde9c25b0863a193cb4adb7a419493dd322ff	[ "PostgreSQL" ]	2	2019-07-02T17:25:42.000Z	2019-07-18T00:05:58.000Z	from django.shortcuts import render from home.decorators import group_required @group_required("volunteer") def volunteer(request): return render(request, "volunteer.html")	22.375	44	0.798883	22	179	6.409091	0.636364	0.184397	0	0	0	0	0	0	0	0	0	0.111732	179	7	45	25.571429	0.886792	0	0	0	0	0.128492	0	0	0	0	1	0.2	false	0	0.4	0.2	0.8	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	5
bd1f851ba3856fc353fcb266c956097df4455daf	238	py	Python	odincal/tests/test_datatypes.py	Odin-SMR/odincal	4c40f0d762b5ee8cbfd7f305cf6aa7ed9ec50206	[ "MIT" ]	null	null	null	odincal/tests/test_datatypes.py	Odin-SMR/odincal	4c40f0d762b5ee8cbfd7f305cf6aa7ed9ec50206	[ "MIT" ]	null	null	null	odincal/tests/test_datatypes.py	Odin-SMR/odincal	4c40f0d762b5ee8cbfd7f305cf6aa7ed9ec50206	[ "MIT" ]	null	null	null	from ctypes import sizeof from odincal.data_structures import AC, ACData, HK def test_len_acd(): assert sizeof(AC) == 150 def test_len_shkd(): assert sizeof(HK) == 150 def test_len_acdata(): assert sizeof(ACData) == 150	15.866667	50	0.705882	36	238	4.472222	0.472222	0.130435	0.186335	0.161491	0	0	0	0	0	0	0.046875	0.193277	238	14	51	17	0.791667	0	0	0	0	0	0	0	0	0.375	1	0.375	true	0	0.25	0	0.625	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	1	0	0	0	1	0	5
bd39ee4918673bc40b4a85c9747a05ce49d44ade	182	py	Python	Curso de Cisco/Actividades/Algunas funcione simples - recursividad parte 3.py	tomasfriz/Curso-de-Cisco	a50ee5fa96bd86d468403e29ccdc3565a181af60	[ "MIT" ]	null	null	null	Curso de Cisco/Actividades/Algunas funcione simples - recursividad parte 3.py	tomasfriz/Curso-de-Cisco	a50ee5fa96bd86d468403e29ccdc3565a181af60	[ "MIT" ]	null	null	null	Curso de Cisco/Actividades/Algunas funcione simples - recursividad parte 3.py	tomasfriz/Curso-de-Cisco	a50ee5fa96bd86d468403e29ccdc3565a181af60	[ "MIT" ]	null	null	null	def factorialFun(n): if n < 0: return None if n < 2: return 1 return n * factorialFun(n - 1) for n in range(1, 10): print(n, "->", factorialFun(n))	18.2	35	0.521978	29	182	3.310345	0.517241	0.40625	0.291667	0	0	0	0	0	0	0	0.057851	0.335165	182	9	36	20.222222	0.727273	0	0	0	0	0.01105	0	0	0	0	0	null	null	0	0	null	null	0.125	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	5
bd4a38305c8d81c4ec907a802429244f46741c94	338	py	Python	main/dto/hint.py	wangjingjing/wx-5268	5828208a513ffbe1c32097414ef96fd0fa078656	[ "Apache-2.0" ]	null	null	null	main/dto/hint.py	wangjingjing/wx-5268	5828208a513ffbe1c32097414ef96fd0fa078656	[ "Apache-2.0" ]	null	null	null	main/dto/hint.py	wangjingjing/wx-5268	5828208a513ffbe1c32097414ef96fd0fa078656	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- class Hint(): def __init__(self, label, value): self.label = label self.value = value def __repr__(self): return '<Hint %r>' % self.label def serialize(self): return { 'label': self.label, 'value': sel...	18.777778	39	0.508876	38	338	4.315789	0.473684	0.219512	0.170732	0.219512	0	0	0	0	0	0	0.004505	0.343195	338	17	40	19.882353	0.734234	0.12426	0	0	0	0.064626	0	0	0	0	1	0.272727	false	0	0	0.181818	0.545455	0	0	0	0	null	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	1	1	0	5
1fabf92a7e3450739b243f5f28fd03068979a62e	263	py	Python	sickbeard/lib/hachoir_parser/video/__init__.py	Branlala/docker-sickbeardfr	3ac85092dc4cc8a4171fb3c83e9682162245e13e	[ "MIT" ]	null	null	null	sickbeard/lib/hachoir_parser/video/__init__.py	Branlala/docker-sickbeardfr	3ac85092dc4cc8a4171fb3c83e9682162245e13e	[ "MIT" ]	null	null	null	sickbeard/lib/hachoir_parser/video/__init__.py	Branlala/docker-sickbeardfr	3ac85092dc4cc8a4171fb3c83e9682162245e13e	[ "MIT" ]	null	null	null	from lib.hachoir_parser.video.asf import AsfFile from lib.hachoir_parser.video.flv import FlvFile from lib.hachoir_parser.video.mov import MovFile from lib.hachoir_parser.video.mpeg_video import MPEGVideoFile from lib.hachoir_parser.video.mpeg_ts import MPEG_TS	37.571429	61	0.863118	43	263	5.093023	0.348837	0.159817	0.319635	0.456621	0.607306	0.26484	0	0	0	0	0	0.079848	263	6	62	43.833333	0.904959	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
1faf3cfbbfbb7a4a74d56e772b47e899d37f05fc	74	py	Python	mundo01/ex001.py	lucasadsr/Curso-Em-Video-Python	c5593eefcdea3aebda79a892054398062a70a29f	[ "MIT" ]	null	null	null	mundo01/ex001.py	lucasadsr/Curso-Em-Video-Python	c5593eefcdea3aebda79a892054398062a70a29f	[ "MIT" ]	null	null	null	mundo01/ex001.py	lucasadsr/Curso-Em-Video-Python	c5593eefcdea3aebda79a892054398062a70a29f	[ "MIT" ]	null	null	null	# Crie um programa que escreva "Olá mundo" na tela. print('Olá, mundo!')	18.5	51	0.689189	12	74	4.25	0.833333	0.313725	0	0	0	0	0	0	0	0	0	0.175676	74	3	52	24.666667	0.836066	0.662162	0	0	0	0.478261	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	1	5
951e967be6e0b57624c35e8d98d0f4a292fa84d9	98	py	Python	math/fractions/0.py	admariner/playground	02a3104472c8fa3589fe87f7265e70c61d5728c7	[ "MIT" ]	3	2021-06-12T04:42:32.000Z	2021-06-24T13:57:38.000Z	math/fractions/0.py	admariner/playground	02a3104472c8fa3589fe87f7265e70c61d5728c7	[ "MIT" ]	null	null	null	math/fractions/0.py	admariner/playground	02a3104472c8fa3589fe87f7265e70c61d5728c7	[ "MIT" ]	1	2021-08-19T14:57:17.000Z	2021-08-19T14:57:17.000Z	from fractions import Fraction f = Fraction(3, 4) print(repr(f)) # Fraction(3, 4) print(f) # 3/4	16.333333	31	0.673469	18	98	3.666667	0.5	0.090909	0.30303	0.333333	0.484848	0	0	0	0	0	0.073171	0.163265	98	6	32	16.333333	0.731707	0.183673	0	0	0	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0.5	1	0	0	null	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	1	5
1f029aa6276f059f5e4bd5adfe52b1c18f0e1f0a	288	py	Python	kite-go/lang/python/pythonparser/epytext/testdata/literal-block.py	kiteco/kiteco-public	74aaf5b9b0592153b92f7ed982d65e15eea885e3	[ "BSD-3-Clause" ]	17	2022-01-10T11:01:50.000Z	2022-03-25T03:21:08.000Z	kite-go/lang/python/pythonparser/epytext/testdata/literal-block.py	kiteco/kiteco-public	74aaf5b9b0592153b92f7ed982d65e15eea885e3	[ "BSD-3-Clause" ]	1	2022-01-13T14:28:47.000Z	2022-01-13T14:28:47.000Z	kite-go/lang/python/pythonparser/epytext/testdata/literal-block.py	kiteco/kiteco-public	74aaf5b9b0592153b92f7ed982d65e15eea885e3	[ "BSD-3-Clause" ]	7	2022-01-07T03:58:10.000Z	2022-03-24T07:38:20.000Z	# The first two are treated as literal blocks. def example(): """ This is a paragraph:: With a literal block. While this one has trailing space:: So is this a literal block? And this one has trailing chars:: ! - So this clearly isn't a literal block. """ return 1	24	46	0.663194	46	288	4.152174	0.630435	0.125654	0.204188	0.188482	0	0	0	0	0	0	0.004673	0.256944	288	11	47	26.181818	0.88785	0.819444	0	0	0	0	0	0	0	0	1	0.5	true	0	0	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	null	0	0	1	1	0	0	0	0	0	5
1f23ca06f8abd7aa7ded9b926c3b41157d17f03f	81	py	Python	user/MiLAB_Lowlevel_Controller/exlcm/__init__.py	Tomato1107/MiLAB-Cheetah-Software	6d00421de49970b31bbeb8a6e165ba5608128d33	[ "MIT" ]	8	2021-09-23T06:38:14.000Z	2022-03-02T17:29:58.000Z	user/MiLAB_Lowlevel_Controller/exlcm/__init__.py	raess1/MiLAB-Cheetah-Software	6d00421de49970b31bbeb8a6e165ba5608128d33	[ "MIT" ]	1	2022-01-14T10:14:32.000Z	2022-01-14T10:14:32.000Z	user/MiLAB_Lowlevel_Controller/exlcm/__init__.py	AWang-Cabin/MILAB-Cheetah-Software	6d00421de49970b31bbeb8a6e165ba5608128d33	[ "MIT" ]	10	2021-08-14T07:52:12.000Z	2022-03-02T02:07:00.000Z	from .lowlevel_cmd import lowlevel_cmd from .lowlevel_state import lowlevel_state	40.5	42	0.888889	12	81	5.666667	0.416667	0.352941	0	0	0	0	0	0	0	0	0	0.08642	81	2	42	40.5	0.918919	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
1f3c999b26cc67f7e762c4fdae51581524d6c706	234	py	Python	masks/admin.py	AlexPersaud17/MasksByLiz	7c1dbdae82b5a0f6e7a54e1355904dffe42dd165	[ "MIT" ]	null	null	null	masks/admin.py	AlexPersaud17/MasksByLiz	7c1dbdae82b5a0f6e7a54e1355904dffe42dd165	[ "MIT" ]	null	null	null	masks/admin.py	AlexPersaud17/MasksByLiz	7c1dbdae82b5a0f6e7a54e1355904dffe42dd165	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Product, Order, Cart, AdminMgmt # Register your models here. # admin.site.register(Product) # admin.site.register(Order) # admin.site.register(Cart) # admin.site.register(AdminMgmt)	33.428571	51	0.786325	32	234	5.75	0.4375	0.195652	0.369565	0	0	0	0	0	0	0	0	0.098291	234	7	52	33.428571	0.872038	0.594017	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
1f50500861c366126e5867b09ca5c08e6e844b3f	138	py	Python	will/backends/generation/__init__.py	afoster757/pcobot	72b42d42ab53613fd45e2267d83c278372bb48ea	[ "MIT" ]	349	2015-01-15T05:12:02.000Z	2022-01-11T09:21:01.000Z	will/backends/generation/__init__.py	afoster757/pcobot	72b42d42ab53613fd45e2267d83c278372bb48ea	[ "MIT" ]	350	2015-01-02T16:33:14.000Z	2022-02-06T17:34:34.000Z	will/backends/generation/__init__.py	afoster757/pcobot	72b42d42ab53613fd45e2267d83c278372bb48ea	[ "MIT" ]	184	2015-01-08T13:20:50.000Z	2021-12-31T05:57:21.000Z	from .strict_regex import RegexBackend from .fuzzy_best_match import FuzzyBestMatch from .fuzzy_all_matches import FuzzyAllMatchesBackend	34.5	53	0.891304	17	138	6.941176	0.705882	0.152542	0	0	0	0	0	0	0	0	0	0.086957	138	3	54	46	0.936508	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5
1f5290451f073f5b1d0ad85db49224528ace6de8	38	py	Python	tests/__init__.py	heroku/pghstore	31de76a7431ca280b1d9138bd6baf1ac767ea0ea	[ "MIT" ]	2	2021-03-29T06:39:04.000Z	2021-08-04T06:40:17.000Z	tests/__init__.py	heroku/pghstore	31de76a7431ca280b1d9138bd6baf1ac767ea0ea	[ "MIT" ]	12	2017-08-22T15:43:09.000Z	2020-05-06T17:12:49.000Z	tests/__init__.py	heroku/pghstore	31de76a7431ca280b1d9138bd6baf1ac767ea0ea	[ "MIT" ]	2	2017-08-19T12:24:52.000Z	2019-10-06T18:53:49.000Z	"""Unit tests module for pghstore."""	19	37	0.684211	5	38	5.2	1	0	0	0	0	0	0	0	0	0	0	0.131579	38	1	38	38	0.787879	0.815789	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	1	0	0	0	0	0	5
1f70c0651dcef958bc2fb10997a56bb8c1bd17e4	88	py	Python	pyNastran/gui/errors.py	ACea15/pyNastran	5ffc37d784b52c882ea207f832bceb6b5eb0e6d4	[ "BSD-3-Clause" ]	293	2015-03-22T20:22:01.000Z	2022-03-14T20:28:24.000Z	pyNastran/gui/errors.py	ACea15/pyNastran	5ffc37d784b52c882ea207f832bceb6b5eb0e6d4	[ "BSD-3-Clause" ]	512	2015-03-14T18:39:27.000Z	2022-03-31T16:15:43.000Z	pyNastran/gui/errors.py	ACea15/pyNastran	5ffc37d784b52c882ea207f832bceb6b5eb0e6d4	[ "BSD-3-Clause" ]	136	2015-03-19T03:26:06.000Z	2022-03-25T22:14:54.000Z	class NoGeometry(RuntimeError): pass class NoSuperelements(RuntimeError): pass	14.666667	36	0.761364	8	88	8.375	0.625	0.477612	0	0	0	0	0	0	0	0	0	0.170455	88	5	37	17.6	0.917808	0	0.5	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	1	0	0	0	0	5
2f452b29c4306ef917160f330d8f9eb1e911cdc6	74	py	Python	lib/datasets/__init__.py	chensong1995/E-CIR	cfecce92cb4cb6e93af1c8be9f8b6b62a91bbf56	[ "MIT" ]	16	2022-03-03T06:21:45.000Z	2022-03-30T08:57:31.000Z	lib/datasets/__init__.py	chensong1995/E-CIR	cfecce92cb4cb6e93af1c8be9f8b6b62a91bbf56	[ "MIT" ]	1	2022-03-21T14:14:52.000Z	2022-03-21T17:48:26.000Z	lib/datasets/__init__.py	chensong1995/E-CIR	cfecce92cb4cb6e93af1c8be9f8b6b62a91bbf56	[ "MIT" ]	1	2022-03-11T03:15:31.000Z	2022-03-11T03:15:31.000Z	from .edi_dataset import EDIDataset from .reds_dataset import REDSDataset	24.666667	37	0.864865	10	74	6.2	0.7	0.419355	0	0	0	0	0	0	0	0	0	0.108108	74	2	38	37	0.939394	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
85e0b5c8fef27b4f76b6312deb34681ea4f626ac	105	py	Python	spikewidgets/widgets/mapswidget/__init__.py	KnierimLab/spikewidgets	5ee37a43df21676db646942141c60e9bde95362c	[ "MIT" ]	6	2019-01-23T03:51:31.000Z	2021-02-15T07:54:39.000Z	spikewidgets/widgets/mapswidget/__init__.py	KnierimLab/spikewidgets	5ee37a43df21676db646942141c60e9bde95362c	[ "MIT" ]	52	2019-01-23T10:10:30.000Z	2021-06-27T10:23:10.000Z	spikewidgets/widgets/mapswidget/__init__.py	KnierimLab/spikewidgets	5ee37a43df21676db646942141c60e9bde95362c	[ "MIT" ]	7	2019-01-23T10:06:03.000Z	2020-10-29T18:38:37.000Z	from .activitymapwidget import plot_activity_map from .templatemapswidget import plot_unit_template_maps	35	55	0.904762	13	105	6.923077	0.769231	0.222222	0	0	0	0	0	0	0	0	0	0.07619	105	2	56	52.5	0.927835	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	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	0	0	5
85e5fba094f711567d2004bd55c86ffd5b047d6f	82	py	Python	core/api/request/reading_request.py	rits-dajare/DaaS	ab8483250a1a2b2838c316ba71fdaf748130dff1	[ "MIT" ]	7	2020-07-20T12:03:06.000Z	2021-05-22T15:57:18.000Z	core/api/request/reading_request.py	averak/DaaS	ab8483250a1a2b2838c316ba71fdaf748130dff1	[ "MIT" ]	19	2020-08-28T10:23:53.000Z	2021-11-17T23:48:45.000Z	core/api/request/reading_request.py	averak/DaaS	ab8483250a1a2b2838c316ba71fdaf748130dff1	[ "MIT" ]	2	2020-08-08T21:20:01.000Z	2021-05-20T01:37:46.000Z	from pydantic import BaseModel class ReadingRequest(BaseModel): dajare: str	13.666667	32	0.780488	9	82	7.111111	0.888889	0	0	0	0	0	0	0	0	0	0	0.170732	82	5	33	16.4	0.941176	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	1	0	1	0	5

Subsets and Splits

No community queries yet

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