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train · 253k rows

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0002a85d9b5c3cee769eff4959e22447e34527c9	199	py	Python	polls_api/polls/admin.py	max-belichenko/Django-Polls-API	36e5cae981a3d6d8da234414400416f760e19413	[ "BSD-2-Clause" ]	null	null	null	polls_api/polls/admin.py	max-belichenko/Django-Polls-API	36e5cae981a3d6d8da234414400416f760e19413	[ "BSD-2-Clause" ]	null	null	null	polls_api/polls/admin.py	max-belichenko/Django-Polls-API	36e5cae981a3d6d8da234414400416f760e19413	[ "BSD-2-Clause" ]	null	null	null	from django.contrib import admin from .models import Poll, Question, Choice, Answer admin.site.register(Poll) admin.site.register(Question) admin.site.register(Choice) admin.site.register(Answer)	19.9	50	0.80402	28	199	5.714286	0.428571	0.225	0.425	0	0	0	0	0	0	0	0	0.090452	199	9	51	22.111111	0.883978	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	6
001ae02ddcd8f9591fd10717a76fa290e66b002e	189	py	Python	notes.py	Daniel-mon-Goose/flask_notes_app	d2f133ff5e23e84e9dfb6444ec2628b681ab26ff	[ "MIT" ]	null	null	null	notes.py	Daniel-mon-Goose/flask_notes_app	d2f133ff5e23e84e9dfb6444ec2628b681ab26ff	[ "MIT" ]	null	null	null	notes.py	Daniel-mon-Goose/flask_notes_app	d2f133ff5e23e84e9dfb6444ec2628b681ab26ff	[ "MIT" ]	null	null	null	from app import app, db from app.models import Note, PreviousNote @app.shell_context_processor def make_shell_context(): return {'db': db, 'Note': Note, 'PreviousNote': PreviousNote}	23.625	65	0.751323	26	189	5.307692	0.5	0.101449	0	0	0	0	0	0	0	0	0	0.137566	189	7	66	27	0.846626	0	0	0	0	0.095238	0	0	0	0	1	0.2	true	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	1	0	1	1	1	0	6
cca6b0044f7a5a2758506a9f087ec2598d5f4903	24	py	Python	expertise/models/elmo/__init__.py	matt-gardner/openreview-expertise	561f3bae251bdfa32acd3febd3a3b0c8ba4b2ffc	[ "MIT" ]	12	2020-02-25T18:45:32.000Z	2022-02-07T22:24:48.000Z	expertise/models/elmo/__init__.py	matt-gardner/openreview-expertise	561f3bae251bdfa32acd3febd3a3b0c8ba4b2ffc	[ "MIT" ]	52	2019-12-19T08:14:43.000Z	2022-03-23T19:40:02.000Z	expertise/models/elmo/__init__.py	matt-gardner/openreview-expertise	561f3bae251bdfa32acd3febd3a3b0c8ba4b2ffc	[ "MIT" ]	3	2019-10-24T16:52:34.000Z	2021-09-27T21:40:39.000Z	from .elmo import Model	12	23	0.791667	4	24	4.75	1	0	0	0	0	0	0	0	0	0	0	0.166667	24	1	24	24	0.95	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	6
aef041544e1c194f682c9e3594dd5a9dc3449848	146	py	Python	notemanager/models.py	muhammadsiraf/Maktub	eac81395a3347e567b3ba117414698230982bf0c	[ "MIT" ]	null	null	null	notemanager/models.py	muhammadsiraf/Maktub	eac81395a3347e567b3ba117414698230982bf0c	[ "MIT" ]	null	null	null	notemanager/models.py	muhammadsiraf/Maktub	eac81395a3347e567b3ba117414698230982bf0c	[ "MIT" ]	null	null	null	from django.db import models from django.contrib.auth.models import AbstractModel # Create your models here. class User(AbstractModel): pass	20.857143	52	0.794521	20	146	5.8	0.7	0.172414	0	0	0	0	0	0	0	0	0	0.143836	146	6	53	24.333333	0.928	0.164384	0	0	0	0	0	0	0	0	1	0	true	0.25	0.5	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	0	0	1	1	1	0	1	0	6
4e2294d8e96028c757ccd37c564c08407da3dc31	168	py	Python	apps/accounts/admin.py	spiperac/bctf	136abee0b7c3f9b3dd31bb341d53e8f4c58ebea5	[ "MIT" ]	6	2019-09-13T18:12:45.000Z	2020-07-31T19:27:53.000Z	apps/accounts/admin.py	spiperac/bctf	136abee0b7c3f9b3dd31bb341d53e8f4c58ebea5	[ "MIT" ]	10	2020-02-12T00:12:42.000Z	2022-03-11T23:47:06.000Z	apps/accounts/admin.py	spiperac/bctf	136abee0b7c3f9b3dd31bb341d53e8f4c58ebea5	[ "MIT" ]	7	2019-09-13T18:12:50.000Z	2020-10-13T22:36:10.000Z	from django.contrib import admin from apps.accounts.models import Account class AccountAdmin(admin.ModelAdmin): pass admin.site.register(Account, AccountAdmin)	16.8	42	0.803571	21	168	6.428571	0.714286	0	0	0	0	0	0	0	0	0	0	0.125	168	9	43	18.666667	0.918367	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.4	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	1	1	1	0	1	0	6
9d9c5671e9cbcbbee28160546abb188e2f6435e9	24	py	Python	abr/__init__.py	rhyselsmore/abr-lookup	5e53de05e7dd5dc23c99b153c6fd62ee999107f6	[ "Apache-2.0" ]	null	null	null	abr/__init__.py	rhyselsmore/abr-lookup	5e53de05e7dd5dc23c99b153c6fd62ee999107f6	[ "Apache-2.0" ]	14	2021-05-28T04:32:51.000Z	2021-06-01T02:13:42.000Z	abr/__init__.py	rhyselsmore/abr-lookup	5e53de05e7dd5dc23c99b153c6fd62ee999107f6	[ "Apache-2.0" ]	null	null	null	from abr.core import app	24	24	0.833333	5	24	4	1	0	0	0	0	0	0	0	0	0	0	0.125	24	1	24	24	0.952381	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	1	0	1	0	1	0	6
9ddc4b42e10363942e14f601c60f31a4d088250d	181	py	Python	src/water_management/exceptionclass.py	viswan29/watermanagement	ba5d3215d3799c0f56ceca96d26fef71f0238891	[ "MIT" ]	null	null	null	src/water_management/exceptionclass.py	viswan29/watermanagement	ba5d3215d3799c0f56ceca96d26fef71f0238891	[ "MIT" ]	null	null	null	src/water_management/exceptionclass.py	viswan29/watermanagement	ba5d3215d3799c0f56ceca96d26fef71f0238891	[ "MIT" ]	null	null	null	""" Exception class to raise exception """ class NotAllowed(Exception): def __init__(self, m): self.message = m def __str__(self): return self.message	22.625	35	0.624309	21	181	5	0.571429	0.266667	0	0	0	0	0	0	0	0	0	0.270718	181	8	36	22.625	0.795455	0.187845	0	0	0	0	0	0	0	0	1	0.4	false	0	0	0.2	0.8	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	0	1	1	0	6
d1f64553325a5f9b766b31e9ebe901cadcc40ca7	37	py	Python	dbscan/dbscan2/__init__.py	mpHarm88/projects	082e3ed70ce69a08938186fd627c902ced327650	[ "MIT" ]	2	2020-08-27T16:28:54.000Z	2022-02-15T19:04:37.000Z	dbscan/dbscan2/__init__.py	levent65/projects	05144149dd71a54cb089e463fbf43f83cf00caae	[ "MIT" ]	2	2021-09-08T02:25:35.000Z	2022-01-13T03:09:26.000Z	dbscan/dbscan2/__init__.py	levent65/projects	05144149dd71a54cb089e463fbf43f83cf00caae	[ "MIT" ]	1	2020-11-25T08:15:15.000Z	2020-11-25T08:15:15.000Z	from dbscan2.dbscan2 import dbscan2	12.333333	35	0.837838	5	37	6.2	0.6	0	0	0	0	0	0	0	0	0	0.09375	0.135135	37	2	36	18.5	0.875	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	1	0	1	0	1	0	6
ae46ad20d6633fb533380052ef504a6c83d0169c	160	py	Python	sisa/settings.py	ramosfm/sisa	6a546e90e6d62913810dcc5e3563a6c640e23f59	[ "MIT" ]	null	null	null	sisa/settings.py	ramosfm/sisa	6a546e90e6d62913810dcc5e3563a6c640e23f59	[ "MIT" ]	null	null	null	sisa/settings.py	ramosfm/sisa	6a546e90e6d62913810dcc5e3563a6c640e23f59	[ "MIT" ]	null	null	null	import os # credenciales brindadas por SISA # cargar en local_settings USER_SISA = os.environ.get('USER_SISA', '') PASS_SISA = os.environ.get('PASS_SISA', '')	22.857143	43	0.7375	24	160	4.708333	0.583333	0.141593	0.230089	0.283186	0	0	0	0	0	0	0	0.125	160	6	44	26.666667	0.807143	0.35	0	0	0	0.178218	0	0	0	0	1	0	false	0.333333	0.333333	0	0.333333	0	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	1	1	0	0	0	6
ae6b0aaffc0ddb474817fbaad11f9caed1b17583	44	py	Python	ground_motions/__init__.py	mohsen-azimi/OpenSEE	3ae4cfde93bd845f4f84073d30958ae2900baf3b	[ "MIT" ]	null	null	null	ground_motions/__init__.py	mohsen-azimi/OpenSEE	3ae4cfde93bd845f4f84073d30958ae2900baf3b	[ "MIT" ]	null	null	null	ground_motions/__init__.py	mohsen-azimi/OpenSEE	3ae4cfde93bd845f4f84073d30958ae2900baf3b	[ "MIT" ]	null	null	null	from ground_motions.read_peer import LoadGM	22	43	0.886364	7	44	5.285714	1	0	0	0	0	0	0	0	0	0	0	0.090909	44	1	44	44	0.925	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	1	0	1	0	1	0	6
8816fa1af09f14962c816dfce474d487490eeba2	234	py	Python	client/test/test_pipeline/test_dsl/test_io_types/mock_step.py	qiaoshuangshuang/PaddleFlow	15155a553587f18b09d4edfc604cb64a1fbe01a7	[ "Apache-2.0" ]	23	2021-12-31T02:36:13.000Z	2022-03-29T07:38:43.000Z	client/test/test_pipeline/test_dsl/test_io_types/mock_step.py	qiaoshuangshuang/PaddleFlow	15155a553587f18b09d4edfc604cb64a1fbe01a7	[ "Apache-2.0" ]	10	2022-01-05T08:47:37.000Z	2022-03-29T11:59:43.000Z	client/test/test_pipeline/test_dsl/test_io_types/mock_step.py	qiaoshuangshuang/PaddleFlow	15155a553587f18b09d4edfc604cb64a1fbe01a7	[ "Apache-2.0" ]	19	2021-12-30T14:37:24.000Z	2022-03-23T03:30:32.000Z	#!/usr/bin/env python3 """ mock paddleflow.pipeline.dsl.steps.Step """ class Step(object): """ mock paddleflow.pipeline.dsl.steps.Step """ def __init__(self, name): """ init """ self.name = name	18	47	0.57265	27	234	4.814815	0.592593	0.215385	0.338462	0.384615	0.523077	0.523077	0	0	0	0	0.005747	0.25641	234	12	48	19.5	0.741379	0.512821	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0	0.666667	0	1	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	1	0	0	0	0	1	0	6
882e78f0e3310012f687d66bf3839e17821ec3ee	51,254	py	Python	tests/test_documents.py	GemeenteUtrecht/gemma-drc-cmis	ea71cb3bc3c673cc1e49306ef241481db3bc9d91	[ "MIT" ]	null	null	null	tests/test_documents.py	GemeenteUtrecht/gemma-drc-cmis	ea71cb3bc3c673cc1e49306ef241481db3bc9d91	[ "MIT" ]	1	2019-05-14T11:29:55.000Z	2019-05-14T11:29:55.000Z	tests/test_documents.py	GemeenteUtrecht/gemma-drc-cmis	ea71cb3bc3c673cc1e49306ef241481db3bc9d91	[ "MIT" ]	1	2020-04-10T09:12:31.000Z	2020-04-10T09:12:31.000Z	import datetime import io import os import uuid from unittest import skipIf from unittest.mock import patch from django.test import TestCase, override_settings, tag from django.utils import timezone from freezegun import freeze_time from drc_cmis.models import CMISConfig, UrlMapping from drc_cmis.utils.exceptions im...	38.050483	183	0.63037	4,998	51,254	6.258103	0.072829	0.054671	0.027304	0.024298	0.88209	0.863802	0.844044	0.81511	0.802321	0.78074	0.037354	0.259355	51,254	1,346	184	38.078752	0.786597	0.018535	0.69349	0	0.025316	0.246679	0.030529	0	0.000743	0.148282	1	0.039783	false	0	0.026221	0	0.068716	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
884467e605b48f3d1a5167639cde1fda7346bc64	19,822	py	Python	tests/unit/models_transforms.py	wijnandb/CodeCult-Scratch	9bbbfd3b4b2f147bfac75cb1b704f08c63a11969	[ "Apache-2.0" ]	null	null	null	tests/unit/models_transforms.py	wijnandb/CodeCult-Scratch	9bbbfd3b4b2f147bfac75cb1b704f08c63a11969	[ "Apache-2.0" ]	null	null	null	tests/unit/models_transforms.py	wijnandb/CodeCult-Scratch	9bbbfd3b4b2f147bfac75cb1b704f08c63a11969	[ "Apache-2.0" ]	2	2020-09-29T17:04:18.000Z	2021-05-13T07:07:04.000Z	# Copyright 2013 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...	41.124481	79	0.618908	2,218	19,822	5.288097	0.114968	0.055248	0.036235	0.049024	0.826498	0.799386	0.784551	0.752153	0.740387	0.717197	0.017434	0.259207	19,822	481	80	41.209979	0.781327	0.030875	0.643392	0	0	0.165329	0.0099	0	0	0.162095	1	0.097257	false	0.004988	0.009975	0.002494	0.119701	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
889157b5fa060ee39b8a1e9e1d72b50b2bcff61b	8,220	py	Python	objectModel/Python/tests/cdm/projection/test_projection_fk.py	MiguelSHS/microsoftCDM	d8df31fa455fcc6afd698e3ca7ec0f8c4a6716fd	[ "CC-BY-4.0", "MIT" ]	1	2021-07-06T17:08:15.000Z	2021-07-06T17:08:15.000Z	objectModel/Python/tests/cdm/projection/test_projection_fk.py	MiguelSHS/microsoftCDM	d8df31fa455fcc6afd698e3ca7ec0f8c4a6716fd	[ "CC-BY-4.0", "MIT" ]	null	null	null	objectModel/Python/tests/cdm/projection/test_projection_fk.py	MiguelSHS/microsoftCDM	d8df31fa455fcc6afd698e3ca7ec0f8c4a6716fd	[ "CC-BY-4.0", "MIT" ]	null	null	null	# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. import os import unittest from typing import List from cdm.objectmodel import CdmCorpusDefinition, CdmManifestDefinition, CdmEntityDefinition from cdm.utilities im...	43.036649	107	0.724818	986	8,220	5.624746	0.100406	0.069239	0.092319	0.049044	0.822214	0.81374	0.754237	0.734944	0.734944	0.734944	0	0.209002	8,220	190	108	43.263158	0.852968	0.023601	0.61745	0	0	0.095487	0.037023	0	0	0	1	0	false	0	0.053691	0	0.073826	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
889cddf06a4bd809dc25a0d09b267c4fd36b0ae6	46	py	Python	docs/source/plots/var_plot_input.py	nikhase/statsmodels	e1822d4513f442002816bb898ca5794785f35c32	[ "BSD-3-Clause" ]	76	2019-12-28T08:37:10.000Z	2022-03-29T02:19:41.000Z	docs/source/plots/var_plot_input.py	nikhase/statsmodels	e1822d4513f442002816bb898ca5794785f35c32	[ "BSD-3-Clause" ]	11	2015-07-22T22:11:59.000Z	2020-10-09T08:02:15.000Z	docs/source/plots/var_plot_input.py	nikhase/statsmodels	e1822d4513f442002816bb898ca5794785f35c32	[ "BSD-3-Clause" ]	35	2020-02-04T14:46:25.000Z	2022-03-24T03:56:17.000Z	from var_plots import plot_input plot_input()	15.333333	32	0.847826	8	46	4.5	0.75	0.5	0	0	0	0	0	0	0	0	0	0.108696	46	2	33	23	0.878049	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	1	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	6
88adbccf953d737e527f2493f6177a48a4ca161c	15,039	py	Python	sdk/python/pulumi_aws_native/rds/global_cluster.py	AaronFriel/pulumi-aws-native	5621690373ac44accdbd20b11bae3be1baf022d1	[ "Apache-2.0" ]	29	2021-09-30T19:32:07.000Z	2022-03-22T21:06:08.000Z	sdk/python/pulumi_aws_native/rds/global_cluster.py	AaronFriel/pulumi-aws-native	5621690373ac44accdbd20b11bae3be1baf022d1	[ "Apache-2.0" ]	232	2021-09-30T19:26:26.000Z	2022-03-31T23:22:06.000Z	sdk/python/pulumi_aws_native/rds/global_cluster.py	AaronFriel/pulumi-aws-native	5621690373ac44accdbd20b11bae3be1baf022d1	[ "Apache-2.0" ]	4	2021-11-10T19:42:01.000Z	2022-02-05T10:15:49.000Z	# coding=utf-8 # * WARNING: this file was generated by the Pulumi SDK Generator. * # * Do not edit by hand unless you're certain you know what you are doing! * import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from...	54.48913	226	0.693264	1,775	15,039	5.649577	0.090141	0.049362	0.056841	0.044874	0.811129	0.77134	0.734144	0.708616	0.66075	0.602214	0.001456	0.223752	15,039	275	227	54.687273	0.857547	0.389986	0.417178	1	0	0.13839	0.051575	0	0	0	1	0.147239	false	0.006135	0.03681	0	0.276074	0	0	0	0	null	0	0	0	1	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	6
31fc9e341cf22e25a2d3ac8028de9e5d4d42263d	7,324	py	Python	odoo/base-addons/account/tests/test_invoice_tax_amount_by_group.py	LucasBorges-Santos/docker-odoo	53987bbd61f6119669b5f801ee2ad54695084a21	[ "MIT" ]	null	null	null	odoo/base-addons/account/tests/test_invoice_tax_amount_by_group.py	LucasBorges-Santos/docker-odoo	53987bbd61f6119669b5f801ee2ad54695084a21	[ "MIT" ]	null	null	null	odoo/base-addons/account/tests/test_invoice_tax_amount_by_group.py	LucasBorges-Santos/docker-odoo	53987bbd61f6119669b5f801ee2ad54695084a21	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- from odoo.addons.account.tests.account_test_savepoint import AccountTestInvoicingCommon from odoo.tests import tagged @tagged('post_install', '-at_install') class TestInvoiceTaxAmountByGroup(AccountTestInvoicingCommon): @classmethod def setUpClass(cls, chart_template_ref=None): ...	34.87619	87	0.484981	797	7,324	4.195734	0.125471	0.0311	0.050538	0.041866	0.794258	0.783194	0.770634	0.734151	0.711124	0.70634	0.068005	0.367559	7,324	209	88	35.043062	0.653929	0.021709	0.78771	0	0	0.202095	0.028911	0	0	0.050279	1	0.03352	false	0	0.011173	0	0.050279	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	6
ee112ffd389deec8bd08ba8117c3f200e59e284d	132	py	Python	userbot/clients/__init__.py	CoeF/Ayiin-Userbot	a73af54f78092ef424679295463a7cf5eccfad10	[ "Naumen", "Condor-1.1", "MS-PL" ]	2	2022-02-22T07:54:30.000Z	2022-03-08T01:21:32.000Z	userbot/clients/__init__.py	CoeF/Ayiin-Userbot	a73af54f78092ef424679295463a7cf5eccfad10	[ "Naumen", "Condor-1.1", "MS-PL" ]	null	null	null	userbot/clients/__init__.py	CoeF/Ayiin-Userbot	a73af54f78092ef424679295463a7cf5eccfad10	[ "Naumen", "Condor-1.1", "MS-PL" ]	null	null	null	from .client_list import client_id, clients_list from .logger import ayiin_userbot_on from .startup import ayiin_client, multiayiin	33	48	0.856061	20	132	5.35	0.6	0.205607	0	0	0	0	0	0	0	0	0	0.106061	132	3	49	44	0.90678	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	1	0	1	0	1	0	6
ee2bd72f85a02bd1d5e1b7fb3ac8a16f2f7c0f63	9,484	py	Python	src/confseq/predmix.py	WannabeSmith/confseq	8c847f8915e553c9fd1a7f3f0fec8f36e2074d42	[ "MIT" ]	1	2021-07-01T03:26:11.000Z	2021-07-01T03:26:11.000Z	src/confseq/predmix.py	WannabeSmith/confseq	8c847f8915e553c9fd1a7f3f0fec8f36e2074d42	[ "MIT" ]	null	null	null	src/confseq/predmix.py	WannabeSmith/confseq	8c847f8915e553c9fd1a7f3f0fec8f36e2074d42	[ "MIT" ]	null	null	null	import math from typing import Callable, Sequence, Tuple, Union import numpy as np from confseq.betting_strategies import lambda_predmix_eb from confseq.misc import get_running_intersection, get_ci_seq def predmix_upper_cs( x: Sequence[float], v: Sequence[float], lambdas_fn: Callable[[Sequence[float]], Se...	27.489855	88	0.611767	1,211	9,484	4.657308	0.096614	0.131383	0.035106	0.050709	0.825177	0.767199	0.750709	0.712057	0.702128	0.672695	0.017196	0.282581	9,484	344	89	27.569767	0.811728	0.341944	0.612245	0	0	0	0	0	0	0	1	0.056122	false	0	0.02551	0.010204	0.137755	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
ee3f41d4fcf91b345d7ac4c79fa386a99e535788	100	py	Python	longest_sequence/dynamic_programming.py	noppanit/dynamic-programming	fd4aa808f095a325dabb721b0ce076f0161dbe61	[ "MIT" ]	null	null	null	longest_sequence/dynamic_programming.py	noppanit/dynamic-programming	fd4aa808f095a325dabb721b0ce076f0161dbe61	[ "MIT" ]	null	null	null	longest_sequence/dynamic_programming.py	noppanit/dynamic-programming	fd4aa808f095a325dabb721b0ce076f0161dbe61	[ "MIT" ]	null	null	null	def longest_non_decreasing(lst): return [] longest_non_decreasing([10, 12, 13, 8, 20, 9, 28])	16.666667	50	0.68	16	100	4	0.8125	0.3125	0.625	0	0	0	0	0	0	0	0.144578	0.17	100	5	51	20	0.626506	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0.333333	0.666667	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	1	0	0	0	1	0	0	6
ee90651e49ecc2eb4cd82e5d0e63725e80b28788	147	py	Python	PlayStore/__init__.py	geoffduong/PlayStoreLinks_Bot	710867fcb7df08a07fec357b9d3c424464531ae0	[ "MIT" ]	81	2015-06-01T10:05:12.000Z	2021-11-16T13:49:10.000Z	PlayStore/__init__.py	geoffduong/PlayStoreLinks_Bot	710867fcb7df08a07fec357b9d3c424464531ae0	[ "MIT" ]	13	2015-05-19T17:39:03.000Z	2021-12-13T19:43:55.000Z	PlayStore/__init__.py	geoffduong/PlayStoreLinks_Bot	710867fcb7df08a07fec357b9d3c424464531ae0	[ "MIT" ]	22	2015-11-17T00:59:08.000Z	2020-04-19T22:37:42.000Z	from PlayStore.App import App from PlayStore.AppNotFoundException import AppNotFoundException from PlayStore.PlayStoreClient import PlayStoreClient	49	63	0.904762	15	147	8.866667	0.4	0.293233	0	0	0	0	0	0	0	0	0	0.07483	147	3	64	49	0.977941	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	1	0	1	0	1	0	6
c9894c541566dfad187d3f4595f29db8a26d9a08	12,203	py	Python	causallearn/utils/PCUtils/BackgroundKnowledge.py	softsys4ai/causal-config-labyrinth	4f50f9ff15429b0ac6ad0a99fbe4cfdd17e360fc	[ "MIT" ]	15	2022-01-20T12:35:35.000Z	2022-03-24T16:25:24.000Z	causallearn/utils/PCUtils/BackgroundKnowledge.py	softsys4ai/unicorn	4f50f9ff15429b0ac6ad0a99fbe4cfdd17e360fc	[ "MIT" ]	14	2022-01-23T00:20:00.000Z	2022-02-22T01:40:43.000Z	causallearn/utils/PCUtils/BackgroundKnowledge.py	softsys4ai/causal-config-labyrinth	4f50f9ff15429b0ac6ad0a99fbe4cfdd17e360fc	[ "MIT" ]	1	2022-02-23T08:59:24.000Z	2022-02-23T08:59:24.000Z	import re from causallearn.graph.Node import Node class BackgroundKnowledge(object): def __init__(self): self.forbidden_rules_specs = set() self.forbidden_pattern_rules_specs = set() self.required_rules_specs = set() self.required_pattern_rules_specs = set() self.tier_map ...	38.015576	120	0.593788	1,499	12,203	4.650434	0.062708	0.051643	0.041314	0.061971	0.899727	0.842634	0.804189	0.771769	0.766891	0.689571	0.019943	0.313775	12,203	320	121	38.134375	0.812515	0.305663	0.563492	0	0	0.113032	0	0	0	0	1	0.119048	false	0	0.015873	0	0.293651	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
c9f51351b6bbbe03ffe1c19fdeeec4fc4aabf4d7	7,795	py	Python	Analysis/Hugh Blakemore/.ipynb_checkpoints/project_functions-checkpoint.py	data301-2020-winter2/course-project-group_1017	879c7a613abb320d675b13eb25c6f5414f3270bd	[ "MIT" ]	2	2021-02-08T19:43:03.000Z	2021-02-09T00:44:23.000Z	Analysis/Hugh Blakemore/.ipynb_checkpoints/project_functions-checkpoint.py	data301-2020-winter2/course-project-group_1017	879c7a613abb320d675b13eb25c6f5414f3270bd	[ "MIT" ]	1	2021-03-20T00:34:39.000Z	2021-03-29T23:43:04.000Z	Analysis/Hugh Blakemore/.ipynb_checkpoints/project_functions-checkpoint.py	data301-2020-winter2/course-project-group_1017	879c7a613abb320d675b13eb25c6f5414f3270bd	[ "MIT" ]	null	null	null	import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import os sns.set_style("ticks") sns.set_theme("paper") def load_and_process(cwd): os.chdir('../..') os.chdir("Data/Raw") df1 = ( pd.read_csv('medical_expenses.csv') .rename({'children':'Dependen...	30.810277	123	0.54304	984	7,795	4.239837	0.126016	0.043624	0.057526	0.064717	0.853787	0.838926	0.831256	0.808006	0.782598	0.782598	0.034855	0.227069	7,795	252	124	30.93254	0.657593	0	0.657658	0	0	0.204747	0	0	0	0	1	0.09009	false	0	0.022523	0	0.202703	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
a0039041c987d5ca5c0d47d17af28fdd15e3852a	68,694	py	Python	MaskDetector.py	inder18112000/MaskDetector	817bf88ba0db2cc0600d71a9dbf1c07f2fbc392d	[ "Apache-2.0" ]	null	null	null	MaskDetector.py	inder18112000/MaskDetector	817bf88ba0db2cc0600d71a9dbf1c07f2fbc392d	[ "Apache-2.0" ]	null	null	null	MaskDetector.py	inder18112000/MaskDetector	817bf88ba0db2cc0600d71a9dbf1c07f2fbc392d	[ "Apache-2.0" ]	null	null	null	from tkinter import * from tkinter.messagebox import * import connection from tkinter.ttk import Combobox, Style, Treeview import otp import cv2 import PIL.Image, PIL.ImageTk from datetime import datetime import sms_sending from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from matplotlib.figu...	46.165323	282	0.516464	8,482	68,694	4.14348	0.067201	0.025893	0.032921	0.037985	0.831754	0.801565	0.766937	0.738768	0.708607	0.68371	0.051845	0.328646	68,694	1,487	283	46.196369	0.710222	0.048068	0.67013	0	0.001732	0.133509	0.011659	0	0	0	1	0.05368	false	0.01645	0.009524	0	0.073593	0.006061	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
14c95ceff2c80c1ed981e22c456fa6c58bc09c5f	169	py	Python	dictKDB.py	marrowgari/SallySellsSeashells	1f977b63f2a1c7eb3bc04254566ba4f3133c10d5	[ "MIT" ]	null	null	null	dictKDB.py	marrowgari/SallySellsSeashells	1f977b63f2a1c7eb3bc04254566ba4f3133c10d5	[ "MIT" ]	null	null	null	dictKDB.py	marrowgari/SallySellsSeashells	1f977b63f2a1c7eb3bc04254566ba4f3133c10d5	[ "MIT" ]	null	null	null	from pyq import q, K q.set(':alpha/HDB/', q('.Q.en', ':alpha', q('([]Name:`$(); Ask:`float$(); Bid:`float$(); Last:`float$(); Volume:`float$(); Time:`timestamp$())')))	42.25	146	0.532544	25	169	3.6	0.68	0	0	0	0	0	0	0	0	0	0	0.088757	169	3	147	56.333333	0.584416	0	0	0	0.5	0.704142	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	0	null	0	0	1	0	1	0	0	0	6
14f5e2a04189de1d5b2be7881d9a7f2f174c7aa2	95	py	Python	Module_1.py	chauhanmahavir/Python-Basics	c250a9eee203e1188a968ba2c60262442719fa49	[ "MIT" ]	1	2020-08-05T05:38:44.000Z	2020-08-05T05:38:44.000Z	Module_1.py	chauhanmahavir/Python-Basics	c250a9eee203e1188a968ba2c60262442719fa49	[ "MIT" ]	null	null	null	Module_1.py	chauhanmahavir/Python-Basics	c250a9eee203e1188a968ba2c60262442719fa49	[ "MIT" ]	null	null	null	def epic(): print('Inside epic') if __name__ == '__main__': print('Inside main')	15.833333	27	0.578947	11	95	4.272727	0.636364	0.468085	0	0	0	0	0	0	0	0	0	0.252632	95	5	28	19	0.661972	0	0	0	0	0.333333	0	0	0	0	1	0.25	true	0	0	0	0.25	0.5	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	1	1	0	0	0	0	1	6
092c97992afe8a4904f2132c36dd2cc833204535	1,714	py	Python	tools/wr_chart.py	probably-not-porter/pokedex	e9541ca2d4205996038b687046d29df525314236	[ "MIT" ]	12	2020-01-22T05:32:42.000Z	2021-05-16T11:11:23.000Z	tools/wr_chart.py	probably-not-porter/pokedex	e9541ca2d4205996038b687046d29df525314236	[ "MIT" ]	7	2019-12-13T21:05:34.000Z	2020-12-14T20:34:06.000Z	tools/wr_chart.py	probably-not-porter/pokedex	e9541ca2d4205996038b687046d29df525314236	[ "MIT" ]	2	2020-12-11T00:59:49.000Z	2020-12-18T18:40:42.000Z	# Here is my python equaivalent of a type chart. # Normal = 0 and so forth matrix = [ # NOR FIR WAT ELE GRA ICE FIG POI GRO FLY PSY BUG ROC GHO DRA DAR STE FAI [ 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 ,0.5, 0 , 1 , 1 ,0.5, 1 ], # NOR [ 1 ,0.5,0.5, 1 , 2 , 2 , 1 , 1 , 1 , 1 , 1 , 2 ,0.5, 1 ,0.5, 1 ...	41.804878	84	0.322637	436	1,714	1.268349	0.082569	0.426763	0.417722	0.35443	0.678119	0.641953	0.578662	0.443038	0.301989	0.202532	0.386386	0.417153	1,714	41	85	41.804878	0.167167	0.127771	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	0	0	1	null	1	1	1	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
0930fadaf3fc8a8b6b94652a48d9f90d91c0dbc9	49	py	Python	pynsive/plugin/__init__.py	jmvrbanac/pynsive	0b50f564e5439e8f49b6dcc1e18b67a2996f02d2	[ "MIT" ]	5	2015-05-23T03:21:20.000Z	2021-09-01T19:35:31.000Z	pynsive/plugin/__init__.py	jmvrbanac/pynsive	0b50f564e5439e8f49b6dcc1e18b67a2996f02d2	[ "MIT" ]	null	null	null	pynsive/plugin/__init__.py	jmvrbanac/pynsive	0b50f564e5439e8f49b6dcc1e18b67a2996f02d2	[ "MIT" ]	2	2018-02-23T13:58:36.000Z	2018-05-30T19:31:14.000Z	from pynsive.plugin.manager import PluginManager	24.5	48	0.877551	6	49	7.166667	1	0	0	0	0	0	0	0	0	0	0	0.081633	49	1	49	49	0.955556	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	1	0	1	0	1	0	6
0943ccd1d59dc1b547b4cd4e23ccf74b99a56df9	31	py	Python	jsonrpc_ns/__init__.py	abitrolly/jsonrpc-ns	c4e0c18d19560caca671bc8ef1819b993693431e	[ "MIT" ]	2	2015-01-06T16:40:02.000Z	2015-12-02T10:13:30.000Z	jsonrpc_ns/__init__.py	abitrolly/jsonrpc-ns	c4e0c18d19560caca671bc8ef1819b993693431e	[ "MIT" ]	null	null	null	jsonrpc_ns/__init__.py	abitrolly/jsonrpc-ns	c4e0c18d19560caca671bc8ef1819b993693431e	[ "MIT" ]	3	2015-08-11T18:28:00.000Z	2021-04-30T14:01:01.000Z	from .jsonrpc import * # NOQA	15.5	30	0.677419	4	31	5.25	1	0	0	0	0	0	0	0	0	0	0	0.225806	31	1	31	31	0.875	0.129032	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	1	0	1	0	1	0	6
11abed136586ff727bf09e20ee49c9417d219711	20	py	Python	assn2/Q5input.py	vardhan2000/1st-sem-python-assignments	9f38ab2b15c36b5ae1c6a725f4d4effe026e0bb4	[ "MIT" ]	null	null	null	assn2/Q5input.py	vardhan2000/1st-sem-python-assignments	9f38ab2b15c36b5ae1c6a725f4d4effe026e0bb4	[ "MIT" ]	null	null	null	assn2/Q5input.py	vardhan2000/1st-sem-python-assignments	9f38ab2b15c36b5ae1c6a725f4d4effe026e0bb4	[ "MIT" ]	null	null	null	l = [1,2,3,4,5] n=2	6.666667	15	0.4	8	20	1	0.875	0	0	0	0	0	0	0	0	0	0.375	0.2	20	2	16	10	0.125	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
11fc262c57fc2189d29a32f2ede11a16d880557d	112	py	Python	fffw/encoding/__init__.py	tumb1er/fffw	6e0e51c22aecfdb12044ef51521857a790c1fc16	[ "MIT" ]	4	2020-10-30T03:16:57.000Z	2021-09-13T12:55:27.000Z	fffw/encoding/__init__.py	tumb1er/fffw	6e0e51c22aecfdb12044ef51521857a790c1fc16	[ "MIT" ]	108	2020-02-09T07:55:09.000Z	2022-03-28T00:54:19.000Z	fffw/encoding/__init__.py	tumb1er/fffw	6e0e51c22aecfdb12044ef51521857a790c1fc16	[ "MIT" ]	3	2020-02-09T07:51:28.000Z	2021-02-17T16:29:19.000Z	from .codecs import * from .ffmpeg import * from .filters import * from .inputs import * from .outputs import *	18.666667	22	0.732143	15	112	5.466667	0.466667	0.487805	0	0	0	0	0	0	0	0	0	0.178571	112	5	23	22.4	0.891304	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	1	0	1	0	1	0	6
0121e788389b892eec41783965efa683aec33abe	208	py	Python	hotset_customizations/hotset_customizations/doctype/stock_details/stock_details.py	promantia-ltd/hotset_erpnext_app	3f8ad7897c17d46ebf1d1b9280932cab4d6d411d	[ "MIT" ]	null	null	null	hotset_customizations/hotset_customizations/doctype/stock_details/stock_details.py	promantia-ltd/hotset_erpnext_app	3f8ad7897c17d46ebf1d1b9280932cab4d6d411d	[ "MIT" ]	null	null	null	hotset_customizations/hotset_customizations/doctype/stock_details/stock_details.py	promantia-ltd/hotset_erpnext_app	3f8ad7897c17d46ebf1d1b9280932cab4d6d411d	[ "MIT" ]	1	2022-02-21T14:10:32.000Z	2022-02-21T14:10:32.000Z	# Copyright (c) 2022, hotset_customizations and contributors # For license information, please see license.txt # import frappe from frappe.model.document import Document class StockDetails(Document): pass	23.111111	60	0.807692	26	208	6.423077	0.807692	0	0	0	0	0	0	0	0	0	0.022099	0.129808	208	8	61	26	0.900552	0.576923	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	1	1	1	0	1	0	6
018065d8ccb6e23d46a488e54df31e48a210c869	194	py	Python	src/writers/__init__.py	jwpttcg66/ExcelToTransfer	3afc0cf088f4c991bbf4dc2d6d1f395a71cbc3c7	[ "Apache-2.0" ]	1	2018-08-08T07:45:50.000Z	2018-08-08T07:45:50.000Z	src/writers/__init__.py	jwpttcg66/ExcelToTransfer	3afc0cf088f4c991bbf4dc2d6d1f395a71cbc3c7	[ "Apache-2.0" ]	null	null	null	src/writers/__init__.py	jwpttcg66/ExcelToTransfer	3afc0cf088f4c991bbf4dc2d6d1f395a71cbc3c7	[ "Apache-2.0" ]	1	2020-01-10T05:03:44.000Z	2020-01-10T05:03:44.000Z	# -- coding: utf-8 -- from base_writer import BaseWriter from lua_writer import LuaWriter from py_writer import PyWriter from json_writer import JsonWriter from java_writer import JavaWriter	24.25	34	0.819588	28	194	5.5	0.571429	0.38961	0	0	0	0	0	0	0	0	0.005952	0.134021	194	7	35	27.714286	0.910714	0.108247	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	1	0	1	0	1	0	6
0184bfffbd56b92737f1ba3a2c705f129746de14	89	py	Python	app/talks/__init__.py	romeojulietthotel/flask-pycon2014	bc01a357b4003b40d0cd523d91bc2f10a42417a3	[ "MIT" ]	105	2015-01-03T02:08:08.000Z	2021-04-26T15:34:36.000Z	app/talks/__init__.py	romeojulietthotel/flask-pycon2014	bc01a357b4003b40d0cd523d91bc2f10a42417a3	[ "MIT" ]	4	2015-04-23T15:57:02.000Z	2016-10-26T20:01:12.000Z	app/talks/__init__.py	romeojulietthotel/flask-pycon2014	bc01a357b4003b40d0cd523d91bc2f10a42417a3	[ "MIT" ]	63	2015-01-05T13:38:26.000Z	2021-09-18T00:04:42.000Z	from flask import Blueprint talks = Blueprint('talks', __name__) from . import routes	12.714286	36	0.752809	11	89	5.727273	0.636364	0.444444	0	0	0	0	0	0	0	0	0	0.168539	89	6	37	14.833333	0.851351	0	0	0	0	0.056818	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	1	6
01895b45e069a77f416f534f935c9999a78283e5	67	py	Python	src/app/training/signals/__init__.py	serious-notreally/cappa	993a8df35ca6c3b22f3ca811937fd29c07fc71aa	[ "MIT" ]	9	2020-04-05T07:35:55.000Z	2021-08-03T05:50:05.000Z	src/app/training/signals/__init__.py	serious-notreally/cappa	993a8df35ca6c3b22f3ca811937fd29c07fc71aa	[ "MIT" ]	89	2020-01-26T11:50:06.000Z	2022-03-31T07:14:18.000Z	src/app/training/signals/__init__.py	serious-notreally/cappa	993a8df35ca6c3b22f3ca811937fd29c07fc71aa	[ "MIT" ]	13	2020-03-10T14:45:07.000Z	2021-07-31T02:43:40.000Z	from .course import * from .topic import * from .taskitem import *	16.75	23	0.731343	9	67	5.444444	0.555556	0.408163	0	0	0	0	0	0	0	0	0	0.179104	67	3	24	22.333333	0.890909	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	1	0	1	0	1	0	6
6d89860415ebeb0a31d097c2cade2c2e0d977036	22	py	Python	dfainductor/__init__.py	SemBarner22/DFA-Inductor-py	54a9321b9daa500f30addf38b5ecd5f216e03f59	[ "MIT" ]	23	2021-11-29T03:22:46.000Z	2022-03-20T19:31:00.000Z	dfainductor/__init__.py	SemBarner22/DFA-Inductor-py	54a9321b9daa500f30addf38b5ecd5f216e03f59	[ "MIT" ]	26	2022-02-08T12:48:52.000Z	2022-03-28T08:58:47.000Z	dfainductor/__init__.py	SemBarner22/DFA-Inductor-py	54a9321b9daa500f30addf38b5ecd5f216e03f59	[ "MIT" ]	1	2022-03-16T12:57:24.000Z	2022-03-16T12:57:24.000Z	from .main import cli	11	21	0.772727	4	22	4.25	1	0	0	0	0	0	0	0	0	0	0	0.181818	22	1	22	22	0.944444	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	1	0	1	0	1	0	6
6da4eaaacbab47b06b81b93451ecaf7276ffd106	918	py	Python	resources/dot_PyCharm/system/python_stubs/cache/8507689a4bb75f2ab40f8d36fa5f7cce6c4a63afca19dd9a25f108c13a5ba2c8/win32trace.py	basepipe/developer_onboarding	05b6a776f8974c89517868131b201f11c6c2a5ad	[ "MIT" ]	1	2020-04-20T02:27:20.000Z	2020-04-20T02:27:20.000Z	resources/dot_PyCharm/system/python_stubs/cache/8507689a4bb75f2ab40f8d36fa5f7cce6c4a63afca19dd9a25f108c13a5ba2c8/win32trace.py	basepipe/developer_onboarding	05b6a776f8974c89517868131b201f11c6c2a5ad	[ "MIT" ]	null	null	null	resources/dot_PyCharm/system/python_stubs/cache/8507689a4bb75f2ab40f8d36fa5f7cce6c4a63afca19dd9a25f108c13a5ba2c8/win32trace.py	basepipe/developer_onboarding	05b6a776f8974c89517868131b201f11c6c2a5ad	[ "MIT" ]	null	null	null	# encoding: utf-8 # module win32trace # from C:\Python27\lib\site-packages\win32\win32trace.pyd # by generator 1.147 # no doc # imports from pywintypes import error # functions def blockingread(args, kwargs): # real signature unknown pass def flush(args, **kwargs): # real signature unknown pass def Ge...	19.531915	59	0.6939	116	918	5.491379	0.37069	0.172684	0.241758	0.397174	0.634223	0.634223	0.580848	0	0	0	0.017473	0.189542	918	46	60	19.956522	0.83871	0.432462	0.478261	0	0	0	0	0	0	0	1	0.478261	true	0.478261	0.043478	0	0.521739	0.043478	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	1	1	1	0	0	1	0	6
6db68b9ac86431a1a6d40e8ea71731dfe4aef6e2	6,785	py	Python	djangoPharma/drugs/forms.py	thodoris/djangoPharma	76089e67bc9940651a876d078879469127f5ac66	[ "Apache-2.0" ]	null	null	null	djangoPharma/drugs/forms.py	thodoris/djangoPharma	76089e67bc9940651a876d078879469127f5ac66	[ "Apache-2.0" ]	null	null	null	djangoPharma/drugs/forms.py	thodoris/djangoPharma	76089e67bc9940651a876d078879469127f5ac66	[ "Apache-2.0" ]	null	null	null	from django import forms from django.core.validators import RegexValidator from django.forms import ModelForm from django.utils.translation import ugettext_lazy as _ from .models import Drug, Category class UserModelChoiceField(forms.ModelChoiceField): # return the name instead of the object in the select option...	45.844595	120	0.510685	536	6,785	6.36194	0.182836	0.058065	0.084457	0.142522	0.753666	0.753666	0.753666	0.753666	0.75132	0.717302	0.008429	0.370523	6,785	147	121	46.156463	0.789979	0.017244	0.776786	0	0	0.191176	0	0	0	0	1	0.026786	false	0	0.044643	0.008929	0.339286	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	6
6dd4ca2193df1204baf9c227f861c3fd246ca67e	39	py	Python	newdata/__init__.py	zachbateman/newdata	10a6493aaf1e68b9f77631769f9e18d69ca3edb2	[ "MIT" ]	null	null	null	newdata/__init__.py	zachbateman/newdata	10a6493aaf1e68b9f77631769f9e18d69ca3edb2	[ "MIT" ]	null	null	null	newdata/__init__.py	zachbateman/newdata	10a6493aaf1e68b9f77631769f9e18d69ca3edb2	[ "MIT" ]	null	null	null	from .data_creation import DataCreator	19.5	38	0.871795	5	39	6.6	1	0	0	0	0	0	0	0	0	0	0	0.102564	39	1	39	39	0.942857	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	6
a301553df2a40c66f83a4b27c6371f2e645a3723	8,914	py	Python	anuga/file_conversion/tests/test_grd2array.py	samcom12/anuga_core	f4378114dbf02d666fe6423de45798add5c42806	[ "Python-2.0", "OLDAP-2.7" ]	136	2015-05-07T05:47:43.000Z	2022-02-16T03:07:40.000Z	anuga/file_conversion/tests/test_grd2array.py	samcom12/anuga_core	f4378114dbf02d666fe6423de45798add5c42806	[ "Python-2.0", "OLDAP-2.7" ]	184	2015-05-03T09:27:54.000Z	2021-12-20T04:22:48.000Z	anuga/file_conversion/tests/test_grd2array.py	samcom12/anuga_core	f4378114dbf02d666fe6423de45798add5c42806	[ "Python-2.0", "OLDAP-2.7" ]	70	2015-03-18T07:35:22.000Z	2021-11-01T07:07:29.000Z	from builtins import str import unittest import copy import os import numpy as num from anuga.file_conversion.grd2array import grd2array #Aux for fit_interpolate.fit example def linear_function(point): point = num.array(point) return point[:,0]+3*point[:,1] #return point[:,1...	32.772059	89	0.509872	978	8,914	4.582822	0.241309	0.040607	0.031236	0.022311	0.7249	0.7249	0.7249	0.7249	0.7249	0.7249	0.249614	0.346085	8,914	271	90	32.892989	0.5193	0.206417	0.433333	0	0	0.027914	0	0	0	0.058333	1	0.033333	false	0	0.058333	0	0.116667	0	0	0	0	null	0	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
097cc38f17396752a05f8d7f12ee5b90fabbdd1a	251	py	Python	run_model.py	wfclark5/hamlet	172a57053f709ecb4cefde7abf51a3168b2a00e9	[ "BSD-3-Clause" ]	2	2016-07-25T19:39:41.000Z	2019-01-07T15:33:35.000Z	run_model.py	wfclark5/hamlet	172a57053f709ecb4cefde7abf51a3168b2a00e9	[ "BSD-3-Clause" ]	null	null	null	run_model.py	wfclark5/hamlet	172a57053f709ecb4cefde7abf51a3168b2a00e9	[ "BSD-3-Clause" ]	1	2019-01-07T15:34:24.000Z	2019-01-07T15:34:24.000Z	import sys from subprocess import call, Popen call("python get_cyclone_members.py", shell = True) call("python geoprocess_members.py", shell = True) call("python drop_members.py", shell = True) call("python exposure_summary.py", shell = True)	31.375	52	0.74502	36	251	5.055556	0.472222	0.21978	0.241758	0.296703	0.461538	0.461538	0	0	0	0	0	0.139442	251	7	53	35.857143	0.842593	0	0	0	0	0.430328	0.17623	0	0	0	1	0	true	0	0.333333	0	0.333333	0	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	1	0	1	0	0	0	6
09b97ee5f06582135e55dd75f583321892eebb67	174	py	Python	members/admin.py	Joshua-Barawa/Django-IP3	74c5809d3d7d9739f0d3b093c3865795e1e71b05	[ "PostgreSQL", "Unlicense" ]	null	null	null	members/admin.py	Joshua-Barawa/Django-IP3	74c5809d3d7d9739f0d3b093c3865795e1e71b05	[ "PostgreSQL", "Unlicense" ]	null	null	null	members/admin.py	Joshua-Barawa/Django-IP3	74c5809d3d7d9739f0d3b093c3865795e1e71b05	[ "PostgreSQL", "Unlicense" ]	null	null	null	from django.contrib import admin from .models import * admin.site.register(Profile) admin.site.register(Project) admin.site.register(Prorating) admin.site.register(Comment)	21.75	32	0.816092	24	174	5.916667	0.5	0.253521	0.478873	0	0	0	0	0	0	0	0	0.074713	174	7	33	24.857143	0.881988	0	0	0	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	6
113932e9045116b2891a52648041daa009f3ce50	3,386	py	Python	models/models_vgg16.py	jankova/ISIC-melanoma-classification	42c6c9e43d2bd73b4296d470e5ccf4dcaf25c4a8	[ "MIT" ]	null	null	null	models/models_vgg16.py	jankova/ISIC-melanoma-classification	42c6c9e43d2bd73b4296d470e5ccf4dcaf25c4a8	[ "MIT" ]	null	null	null	models/models_vgg16.py	jankova/ISIC-melanoma-classification	42c6c9e43d2bd73b4296d470e5ccf4dcaf25c4a8	[ "MIT" ]	null	null	null	import tensorflow as tf class VGG16(tf.keras.Model): def __init__(self, IMG_WIDTH, IMG_HEIGHT, n_meta_features): super(VGG16, self).__init__() # from pretrained network self.IMG_WIDTH = IMG_WIDTH self.IMG_HEIGHT = IMG_HEIGHT self.IMG_SIZE = (IMG_WIDTH, IMG_HEIGHT) ...	38.91954	130	0.596574	425	3,386	4.557647	0.176471	0.075891	0.09396	0.065049	0.883325	0.883325	0.883325	0.883325	0.838926	0.838926	0.038542	0.295038	3,386	86	131	39.372093	0.772937	0.111636	0.666667	0	0	0.015344	0	0	0	0	1	0.074074	false	0	0.018519	0	0.166667	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
fef36afeb5dd4c9977c2412fc9f89afba472f54d	151	py	Python	tests/examples-bad/classmethod1.py	JohannesBuchner/pystrict3	f442a89ac6a23f4323daed8ef829d8e9e1197f90	[ "BSD-2-Clause" ]	1	2020-06-05T08:53:26.000Z	2020-06-05T08:53:26.000Z	tests/examples-bad/classmethod1.py	JohannesBuchner/pystrict3	f442a89ac6a23f4323daed8ef829d8e9e1197f90	[ "BSD-2-Clause" ]	1	2020-06-04T13:47:19.000Z	2020-06-04T13:47:57.000Z	tests/examples-bad/classmethod1.py	JohannesBuchner/pystrict3	f442a89ac6a23f4323daed8ef829d8e9e1197f90	[ "BSD-2-Clause" ]	1	2020-11-07T17:02:46.000Z	2020-11-07T17:02:46.000Z	class FooMany(object): def __init__(self, a): self.a = a def foo0(self): pass def foo1(self, a): self.foo0(1) ## error: too many arguments	15.1	44	0.642384	25	151	3.72	0.6	0.16129	0.193548	0	0	0	0	0	0	0	0.033613	0.211921	151	9	45	16.777778	0.747899	0.165563	0	0	0	0	0	0	0	0	1	0.428571	false	0.142857	0	0	0.571429	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	1	0	1	0	0	1	0	6
3a4c205ebe7fa355730be0658fb32da19d492630	3,603	py	Python	tests/module/test_datafiles_upload.py	onekiloparsec/arcsecond.python	e4b22bf055c7f089ca9f0d6c4bda6314350878e0	[ "MIT" ]	7	2018-08-29T15:31:25.000Z	2022-01-08T14:08:39.000Z	tests/module/test_datafiles_upload.py	onekiloparsec/arcsecond-python	e4b22bf055c7f089ca9f0d6c4bda6314350878e0	[ "MIT" ]	2	2018-10-21T07:42:26.000Z	2020-02-24T10:11:22.000Z	tests/module/test_datafiles_upload.py	onekiloparsec/arcsecond-python	e4b22bf055c7f089ca9f0d6c4bda6314350878e0	[ "MIT" ]	null	null	null	import os import time import uuid import httpretty from click.testing import CliRunner from arcsecond import ArcsecondAPI from arcsecond.api.constants import ARCSECOND_API_URL_DEV from tests.utils import make_successful_login has_callback_been_called = False @httpretty.activate def test_datafiles_upload_file_threa...	33.055046	92	0.710519	455	3,603	5.38022	0.237363	0.040441	0.055147	0.077206	0.79902	0.788399	0.788399	0.712827	0.712827	0.69281	0.006158	0.188732	3,603	108	93	33.361111	0.831338	0.085762	0.707317	0	0	0.090411	0.035312	0	0	0.097561	1	0.060976	false	0.02439	0.097561	0	0.158537	0.04878	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	6
e909c393c9fb1658165552d9d2494df2de92f2a1	8,028	py	Python	tests/test_report.py	sr-murthy/oedtools	f38d7bef1ffb094b09e779db5b741e63926d2d1e	[ "BSD-3-Clause" ]	4	2019-10-25T04:42:51.000Z	2021-11-14T13:58:56.000Z	tests/test_report.py	sr-murthy/oedtools	f38d7bef1ffb094b09e779db5b741e63926d2d1e	[ "BSD-3-Clause" ]	24	2019-08-31T14:30:56.000Z	2020-05-19T11:23:50.000Z	tests/test_report.py	sr-murthy/oedtools	f38d7bef1ffb094b09e779db5b741e63926d2d1e	[ "BSD-3-Clause" ]	3	2019-10-25T04:43:21.000Z	2019-12-10T01:38:03.000Z	import os import re import string from itertools import ( chain, product, ) from random import shuffle from tempfile import NamedTemporaryFile from unittest import TestCase import numpy as np import pandas as pd import pytest from hypothesis import ( given, settings, ) from hypothesis.strategies impo...	37.867925	143	0.670279	1,074	8,028	4.674115	0.126629	0.099602	0.045418	0.05498	0.877888	0.849004	0.832669	0.832669	0.831076	0.828088	0.006428	0.224838	8,028	211	144	38.047393	0.800257	0	0.548571	0	0	0.020429	0	0	0	0.08	1	0.057143	false	0	0.091429	0	0.154286	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
e9316e2ef8174db7d83852fa8c16057e40c386c0	197	py	Python	cmdb/templatetags/mytags.py	wqqsukida/ops_server	3e108fae895ae42a3771f37da87c24612540d966	[ "Apache-2.0" ]	null	null	null	cmdb/templatetags/mytags.py	wqqsukida/ops_server	3e108fae895ae42a3771f37da87c24612540d966	[ "Apache-2.0" ]	8	2020-06-05T19:37:09.000Z	2021-12-13T19:52:45.000Z	cmdb/templatetags/mytags.py	wqqsukida/ops_server	3e108fae895ae42a3771f37da87c24612540d966	[ "Apache-2.0" ]	1	2020-04-26T13:02:23.000Z	2020-04-26T13:02:23.000Z	from django import template register = template.Library() @register.filter def get_int(s): s = s.replace(',','') return int(s) @register.filter def del_end(s): return s.split(' ')[0]	16.416667	29	0.654822	29	197	4.37931	0.586207	0.220472	0.267717	0	0	0	0	0	0	0	0.006173	0.177665	197	12	30	16.416667	0.777778	0	0.222222	0	0	0.010101	0	0	0	0	1	0.222222	false	0	0.111111	0.111111	0.555556	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	1	0	0	0	1	1	0	6
3a64a1a94c5ac66590226b9868276e36941c54e1	248	py	Python	OPMxplore/tests/context.py	UWSEDS-aut17/pdb-search	d1aca87dd6b170de0542c8c8fe12aff17c5b60ba	[ "MIT" ]	null	null	null	OPMxplore/tests/context.py	UWSEDS-aut17/pdb-search	d1aca87dd6b170de0542c8c8fe12aff17c5b60ba	[ "MIT" ]	3	2017-11-16T05:06:39.000Z	2017-11-17T07:31:40.000Z	OPMxplore/tests/context.py	UWSEDS-aut17/uwseds-group-pdb-search-and-analysis	d1aca87dd6b170de0542c8c8fe12aff17c5b60ba	[ "MIT" ]	1	2019-11-22T19:21:31.000Z	2019-11-22T19:21:31.000Z	import os import sys sys.path.insert(0, os.path.abspath( os.path.join( os.path.dirname( os.path.dirname( __file__)), '..'))) import OPMxplore.OPMxplore	27.555556	43	0.451613	24	248	4.5	0.458333	0.222222	0.240741	0	0	0	0	0	0	0	0.007194	0.439516	248	9	44	27.555556	0.769784	0	0.25	0	0	0.008032	0	0	0	0	1	0	true	0	0.375	0	0.375	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	1	0	1	0	0	0	6
3ab8d75caf1f805d0cdebb202f36e2742ec70b11	9,209	py	Python	premade_modules/2.80/e5e885d0ecb9430a73e0a904cdb6035a2ef77e98/bpy/ops/font.py	echantry/fake-bpy-module	004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7	[ "MIT" ]	null	null	null	premade_modules/2.80/e5e885d0ecb9430a73e0a904cdb6035a2ef77e98/bpy/ops/font.py	echantry/fake-bpy-module	004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7	[ "MIT" ]	null	null	null	premade_modules/2.80/e5e885d0ecb9430a73e0a904cdb6035a2ef77e98/bpy/ops/font.py	echantry/fake-bpy-module	004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7	[ "MIT" ]	null	null	null	def case_set(case='LOWER'): '''Set font case :param case: Case, Lower or upper case :type case: enum in ['LOWER', 'UPPER'], (optional) ''' pass def case_toggle(): '''Toggle font case ''' pass def change_character(delta=1): '''Change font character code :param delta: ...	32.199301	298	0.662938	1,161	9,209	5.096469	0.13006	0.070306	0.091262	0.105459	0.746155	0.726551	0.726551	0.715058	0.690384	0.690384	0.002868	0.242806	9,209	285	299	32.312281	0.845691	0.711695	0.657534	0	0	0.045002	0	0	0	0	1	0.273973	false	0.273973	0	0	0.273973	0	0	0	0	null	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	1	0	0	0	0	6
3ac082b601f9101b2b9c2fb7e4e01b4097d1852e	302	py	Python	src/UQpy/inference/inference_models/__init__.py	SURGroup/UncertaintyQuantification	a94c8db47d07134ea2b3b0a3ca53ca818532c3e6	[ "MIT" ]	null	null	null	src/UQpy/inference/inference_models/__init__.py	SURGroup/UncertaintyQuantification	a94c8db47d07134ea2b3b0a3ca53ca818532c3e6	[ "MIT" ]	null	null	null	src/UQpy/inference/inference_models/__init__.py	SURGroup/UncertaintyQuantification	a94c8db47d07134ea2b3b0a3ca53ca818532c3e6	[ "MIT" ]	null	null	null	from UQpy.inference.inference_models.baseclass import * from UQpy.inference.inference_models.ComputationalModel import ComputationalModel from UQpy.inference.inference_models.DistributionModel import DistributionModel from UQpy.inference.inference_models.LogLikelihoodModel import LogLikelihoodModel	43.142857	81	0.897351	31	302	8.612903	0.290323	0.11985	0.254682	0.389513	0.479401	0	0	0	0	0	0	0.059603	302	6	82	50.333333	0.940141	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	1	0	1	0	1	0	6
3af57ea02d812e1e5669983ca62df939cfdb919a	2,695	py	Python	actions/create_remind.py	dmakeienko/remind_me_bot	54c49abe4dc7674c02cf01390fb6f1551e951b07	[ "Apache-2.0" ]	13	2020-01-19T18:27:29.000Z	2022-02-07T21:15:24.000Z	actions/create_remind.py	dmakeienko/remind_me_bot	54c49abe4dc7674c02cf01390fb6f1551e951b07	[ "Apache-2.0" ]	14	2020-06-16T07:18:11.000Z	2020-07-10T09:04:24.000Z	actions/create_remind.py	dmakeienko/remind_me_bot	54c49abe4dc7674c02cf01390fb6f1551e951b07	[ "Apache-2.0" ]	6	2019-12-18T05:23:36.000Z	2021-09-20T20:56:08.000Z	from db.database import create import datetime def create_remind(bot, update, args): user_chat_id = update.message.chat_id try: user_message = ' '.join(args).split(" ", 2) time_remind = user_message[0] + " " + user_message[1] reminder_text = user_message[2] remind = "Y...	47.280702	124	0.671614	407	2,695	4.257985	0.167076	0.107328	0.098096	0.127525	0.854587	0.830929	0.830929	0.814195	0.814195	0.814195	0.006098	0.208905	2,695	56	125	48.125	0.797842	0	0.638298	0	0	0.135486	0	0	0	0	1	0.06383	false	0	0.042553	0	0.106383	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
aafc55b82a65cb9e5fc123ec90433b6d075c740d	108	py	Python	satellite/db/models/__init__.py	aslepakurov/vgs-satellite	9865a51a88987a32ea0ef89e7c39d2acea5f039a	[ "Apache-2.0" ]	15	2020-06-03T07:31:22.000Z	2021-11-03T19:30:47.000Z	satellite/db/models/__init__.py	aslepakurov/vgs-satellite	9865a51a88987a32ea0ef89e7c39d2acea5f039a	[ "Apache-2.0" ]	55	2020-07-14T23:51:02.000Z	2022-03-25T19:12:02.000Z	satellite/db/models/__init__.py	aslepakurov/vgs-satellite	9865a51a88987a32ea0ef89e7c39d2acea5f039a	[ "Apache-2.0" ]	17	2020-03-23T23:12:43.000Z	2022-02-19T15:46:21.000Z	from .alias import Alias # noqa from .base import Base # noqa from .route import Route, RuleEntry # noqa	27	43	0.731481	16	108	4.9375	0.4375	0.202532	0	0	0	0	0	0	0	0	0	0.203704	108	3	44	36	0.918605	0.12963	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	1	0	1	0	1	0	6
c9056c2849aa482963520c9a0d858631851f5649	140	py	Python	bittrex_ws/_exceptions.py	r3bers/bittrex-ws-v3	54c5522fca230a71525eb2c53645d1ac2fa54adc	[ "MIT" ]	null	null	null	bittrex_ws/_exceptions.py	r3bers/bittrex-ws-v3	54c5522fca230a71525eb2c53645d1ac2fa54adc	[ "MIT" ]	1	2021-05-27T06:00:47.000Z	2021-05-27T06:00:47.000Z	bittrex_ws/_exceptions.py	r3bers/bittrex-ws-v3	54c5522fca230a71525eb2c53645d1ac2fa54adc	[ "MIT" ]	1	2021-07-31T03:35:20.000Z	2021-07-31T03:35:20.000Z	#!/usr/bin/env python from websockets.exceptions import ConnectionClosed, InvalidStatusCode from requests.exceptions import ConnectionError	35	69	0.864286	15	140	8.066667	0.8	0.264463	0	0	0	0	0	0	0	0	0	0.078571	140	3	70	46.666667	0.937985	0.142857	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	1	0	1	0	1	0	6
c92a48c4bfb6c22c4545c383aacf796a47e1e2f5	29,674	py	Python	freshman01/example/feature/extract_feture.py	hooloong/aliyunProblems	077d115535fe54e47e59a0d96676b3995bbda75e	[ "MIT" ]	null	null	null	freshman01/example/feature/extract_feture.py	hooloong/aliyunProblems	077d115535fe54e47e59a0d96676b3995bbda75e	[ "MIT" ]	null	null	null	freshman01/example/feature/extract_feture.py	hooloong/aliyunProblems	077d115535fe54e47e59a0d96676b3995bbda75e	[ "MIT" ]	null	null	null	import pandas as pd import numpy as np import datetime import sys import time import xgboost as xgb from add_feture import * FEATURE_EXTRACTION_SLOT = 10 LabelDay = datetime.datetime(2014,12,18,0,0,0) Data = pd.read_csv("../../../../data/fresh_comp_offline/drop1112_sub_item.csv") Data['daystime'] = Data['days'].map(lam...	60.435845	161	0.725315	4,296	29,674	4.717644	0.054004	0.042631	0.084966	0.072236	0.854147	0.835249	0.812947	0.776139	0.751961	0.736567	0.032272	0.122835	29,674	491	162	60.435845	0.74636	0.125497	0.435616	0	0	0.064255	0.004234	0	0	0	1	0.019178	false	0	0.019178	0	0.057534	0.005479	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
a30f956230a247de8e49f05f00e69b33332ae54b	12,779	py	Python	run_models.py	GU-DataLab/topic-modeling-topic-noise-models	b9f3082bee1a9bbee10d5a3459ac445c5d68a39a	[ "MIT" ]	3	2021-12-08T03:57:23.000Z	2022-01-12T08:13:58.000Z	run_models.py	GU-DataLab/topic-modeling-topic-noise-models	b9f3082bee1a9bbee10d5a3459ac445c5d68a39a	[ "MIT" ]	null	null	null	run_models.py	GU-DataLab/topic-modeling-topic-noise-models	b9f3082bee1a9bbee10d5a3459ac445c5d68a39a	[ "MIT" ]	1	2022-01-12T08:14:03.000Z	2022-01-12T08:14:03.000Z	import os import math import random from gensim import corpora from gensim.models import FastText from gensim.models.fasttext import save_facebook_model from settings.common import save_topics, load_flat_dataset from tm_pipeline.tndmallet import TndMallet from tm_pipeline.ldamallet import LdaMallet from tm_pipeline.etn...	44.996479	177	0.593395	1,636	12,779	4.382029	0.110024	0.055238	0.040312	0.056912	0.814758	0.803459	0.778351	0.726043	0.704561	0.680151	0.036072	0.288442	12,779	283	178	45.155477	0.752337	0.107598	0.626168	0	0	0.041726	0.022768	0	0	0	1	0.028037	false	0	0.046729	0	0.093458	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
a37889c07185db2a393324bfa30d47cdbcdefd90	17,648	py	Python	main.py	R-Sanek/kuna_trader	02d7331f5788488c7c47db05b1b79637627b5e07	[ "MIT" ]	1	2021-10-03T06:51:16.000Z	2021-10-03T06:51:16.000Z	main.py	RezOleksandr/kuna_trader	02d7331f5788488c7c47db05b1b79637627b5e07	[ "MIT" ]	null	null	null	main.py	RezOleksandr/kuna_trader	02d7331f5788488c7c47db05b1b79637627b5e07	[ "MIT" ]	null	null	null	import requests import json import kuna.kuna as kuna from time import * # Курсы валют предоставлены https://www.minfin.com.ua/currency/ и https://api.privatbank.ua print("Курсы валют предоставлены https://www.minfin.com.ua/currency/ и https://api.privatbank.ua\n") config = json.load(open(r'build\config.json...	55.671924	177	0.600465	2,230	17,648	4.535874	0.086996	0.015818	0.017795	0.028473	0.821354	0.783984	0.745526	0.717845	0.717845	0.690954	0.024359	0.285868	17,648	316	178	55.848101	0.778227	0.005043	0.638298	0	0.06383	0.246621	0.028711	0	0	0	1	0.007092	false	0	0.014184	0	0.070922	0.113475	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
6e81203308dfbfecffe393831e7b9b3c4dd1c1b1	41	py	Python	src/autograph/services/__init__.py	RobetSlovev39/AutoGraph	c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95	[ "MIT" ]	null	null	null	src/autograph/services/__init__.py	RobetSlovev39/AutoGraph	c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95	[ "MIT" ]	null	null	null	src/autograph/services/__init__.py	RobetSlovev39/AutoGraph	c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95	[ "MIT" ]	null	null	null	from .autograph import autograph_session	20.5	40	0.878049	5	41	7	0.8	0	0	0	0	0	0	0	0	0	0	0.097561	41	1	41	41	0.945946	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	6
6e97be7be5f4b7b954c681ae7840bcadb8e00f20	94	py	Python	pytorch_widedeep/bayesian_models/bayesian_nn/modules/__init__.py	TangleSpace/pytorch-widedeep	ccc55a15c1b3205ffc8c054abc5cd25cba9ccdff	[ "MIT" ]	null	null	null	pytorch_widedeep/bayesian_models/bayesian_nn/modules/__init__.py	TangleSpace/pytorch-widedeep	ccc55a15c1b3205ffc8c054abc5cd25cba9ccdff	[ "MIT" ]	null	null	null	pytorch_widedeep/bayesian_models/bayesian_nn/modules/__init__.py	TangleSpace/pytorch-widedeep	ccc55a15c1b3205ffc8c054abc5cd25cba9ccdff	[ "MIT" ]	null	null	null	from .bayesian_linear import BayesianLinear from .bayesian_embedding import BayesianEmbedding	31.333333	49	0.893617	10	94	8.2	0.7	0.292683	0	0	0	0	0	0	0	0	0	0.085106	94	2	50	47	0.953488	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	1	0	1	0	1	0	6
6ed115435625a0992e47240cde6ea73ba3e83f55	1,964	py	Python	tests/test_serialization/test_bytes.py	Zapix/mtpylon	b268a4e2d1bc641cace1962ea68de73c1156e44c	[ "MIT" ]	9	2021-11-10T08:53:51.000Z	2021-12-15T12:03:44.000Z	tests/test_serialization/test_bytes.py	Zapix/mtpylon	b268a4e2d1bc641cace1962ea68de73c1156e44c	[ "MIT" ]	123	2020-10-22T07:08:20.000Z	2021-09-29T15:26:22.000Z	tests/test_serialization/test_bytes.py	Zapix/mtpylon	b268a4e2d1bc641cace1962ea68de73c1156e44c	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- import pytest from mtpylon.serialization.bytes import load, dump def test_dump_short_string(): value = b'\x01\x02\x03\x04' dumped = b'\x04\x01\x02\x03\x04\x00\x00\x00' assert dump(value) == dumped def test_dump_short_13_string(): value = b'\x01\x02\x03\x04\x05\x06\x07\x08\x...	23.95122	75	0.639002	321	1,964	3.788162	0.174455	0.049342	0.059211	0.078947	0.875	0.840461	0.840461	0.840461	0.840461	0.791118	0.14899	0.193483	1,964	81	76	24.246914	0.618687	0.010692	0.612245	0	0.081633	0.226687	0.152499	0	0	0.244898	1	0.183673	false	0	0.040816	0	0.22449	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
6e3d4bcf53cacfb54e17ce2fce0bd1b71de406be	19	py	Python	tnt/__init__.py	BigFishMaster/tnt	8b80bb3b194eb87ac18924428ef0924c2fb263c5	[ "BSD-3-Clause" ]	22	2018-12-04T05:46:57.000Z	2022-02-09T11:44:28.000Z	tnt/__init__.py	BigFishMaster/tnt	8b80bb3b194eb87ac18924428ef0924c2fb263c5	[ "BSD-3-Clause" ]	5	2021-03-19T11:49:52.000Z	2022-03-12T00:21:18.000Z	tnt/__init__.py	BigFishMaster/tnt	8b80bb3b194eb87ac18924428ef0924c2fb263c5	[ "BSD-3-Clause" ]	9	2018-11-01T05:56:04.000Z	2021-08-12T14:32:21.000Z	from . import opts	9.5	18	0.736842	3	19	4.666667	1	0	0	0	0	0	0	0	0	0	0	0.210526	19	1	19	19	0.933333	0	0	0	0	0	0	0	0	0	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	1	0	1	0	1	0	6
2817102570434b9416e784b620c7c12eb1934337	109	py	Python	Engine/src/algorithms/__init__.py	xapharius/HadoopML	c0129f298007ca89b538eb1a3800f991141ba361	[ "MIT" ]	2	2018-02-05T12:41:31.000Z	2018-11-23T04:13:13.000Z	Engine/src/algorithms/__init__.py	xapharius/HadoopML	c0129f298007ca89b538eb1a3800f991141ba361	[ "MIT" ]	null	null	null	Engine/src/algorithms/__init__.py	xapharius/HadoopML	c0129f298007ca89b538eb1a3800f991141ba361	[ "MIT" ]	null	null	null	from AbstractAlgorithm import AbstractAlgorithm from AbstractAlgorithmFactory import AbstractAlgorithmFactory	54.5	61	0.93578	8	109	12.75	0.5	0	0	0	0	0	0	0	0	0	0	0.06422	109	2	61	54.5	1	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	6
28241e76069a5458cdaf0589916b92364f2b4fc8	101	py	Python	api/app/books/__init__.py	yunfei07/vue-flask-in-action	8695f9a252bb3e2136609f421e02a0d3f01c0e58	[ "MIT" ]	1	2021-11-13T15:54:43.000Z	2021-11-13T15:54:43.000Z	api/app/books/__init__.py	yunfei07/vue-flask-in-action	8695f9a252bb3e2136609f421e02a0d3f01c0e58	[ "MIT" ]	null	null	null	api/app/books/__init__.py	yunfei07/vue-flask-in-action	8695f9a252bb3e2136609f421e02a0d3f01c0e58	[ "MIT" ]	1	2021-11-13T00:57:20.000Z	2021-11-13T00:57:20.000Z	from flask import Blueprint books_bp = Blueprint('books_bp',__name__) from app.books import routes	16.833333	41	0.80198	15	101	5	0.6	0.373333	0.426667	0	0	0	0	0	0	0	0	0.128713	101	5	42	20.2	0.852273	0	0	0	0	0.079208	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	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	0	1	0	0	1	6
283bd914657d89ba16e5aed006a35a9ce7c882b6	21,533	py	Python	tests/test_capacity.py	eng-tools/geofound	b59e720cc0ca62c2999adca27cd66c45ae000828	[ "MIT" ]	12	2017-12-16T10:15:57.000Z	2022-01-23T03:55:59.000Z	tests/test_capacity.py	eng-tools/geofound	b59e720cc0ca62c2999adca27cd66c45ae000828	[ "MIT" ]	2	2018-01-29T16:28:38.000Z	2021-04-20T22:50:46.000Z	tests/test_capacity.py	eng-tools/geofound	b59e720cc0ca62c2999adca27cd66c45ae000828	[ "MIT" ]	9	2018-02-09T17:20:55.000Z	2021-11-09T02:15:16.000Z	import geofound import numpy as np from geofound import models def test_vesics(): """ values from: Gunaratne, Manjriker. 2006. "Spread Footings: Analysis and Design." """ length = 2 width = 2 depth = 1 phi = 35 cohesion = 0 unit_dry_weight = 17 sl = geofound.create_soil(phi, co...	35.650662	114	0.684902	3,583	21,533	3.857103	0.086241	0.022576	0.068669	0.061505	0.844573	0.827062	0.79631	0.774096	0.759696	0.706151	0.095417	0.20861	21,533	603	115	35.709784	0.715568	0.175823	0.631068	0	0	0.001033	0	0	0	0.148058	1	0.055825	false	0	0.007282	0	0.063107	0.007282	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
955177c86dcfd2055e236862f6459af564fb94f7	351	py	Python	test.py	npq7721/gr_hash	a73a6554202d8aea5b4db23b92fa453e7751c833	[ "MIT" ]	2	2021-03-14T13:18:31.000Z	2021-11-18T17:21:30.000Z	test.py	npq7721/gr_hash	a73a6554202d8aea5b4db23b92fa453e7751c833	[ "MIT" ]	null	null	null	test.py	npq7721/gr_hash	a73a6554202d8aea5b4db23b92fa453e7751c833	[ "MIT" ]	4	2021-09-23T11:56:27.000Z	2022-02-10T23:35:26.000Z	import gr_hash import weakref import binascii import StringIO from binascii import unhexlify teststart = '700000005d385ba114d079970b29a9418fd0549e7d68a95c7f168621a314201000000000578586d149fd07b22f3a8a347c516de7052f034d2b76ff68e0d6ecff9b77a45489e3fd511732011df0731000'; testbin = unhexlify(teststart) hash_bin ...	31.909091	176	0.874644	24	351	12.666667	0.541667	0.039474	0	0	0	0	0	0	0	0	0.371069	0.094017	351	10	177	35.1	0.584906	0	0	0	0	0.469208	0.469208	0	0	0	1	0	false	0	0.625	0	0.625	0	1	0	1	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	null	0	0	0	0	1	0	1	0	6
95ac3dd4e9c61bc46bd418351230b1a7a526311c	63	py	Python	Classifier/__init__.py	T0nyX1ang/Classifier	f4719b10943f09be7d9ea95dc5481e48caa51fa2	[ "MIT" ]	null	null	null	Classifier/__init__.py	T0nyX1ang/Classifier	f4719b10943f09be7d9ea95dc5481e48caa51fa2	[ "MIT" ]	null	null	null	Classifier/__init__.py	T0nyX1ang/Classifier	f4719b10943f09be7d9ea95dc5481e48caa51fa2	[ "MIT" ]	null	null	null	from . import config from . import classify from . import merge	21	22	0.777778	9	63	5.444444	0.555556	0.612245	0	0	0	0	0	0	0	0	0	0.174603	63	3	23	21	0.942308	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	1	0	1	0	1	0	6
95c11a57b214c0eb7d0a45790c2fa08cccfd57bf	60	py	Python	org/apache/helix/package-info.py	davzhang/helix-python-binding	11a9ecf730bce07720e0b0bcf7f0ec1cd2b25878	[ "Apache-2.0" ]	3	2015-04-08T22:51:04.000Z	2015-05-03T06:42:35.000Z	org/apache/helix/package-info.py	zzhang5/helix-python-binding	11a9ecf730bce07720e0b0bcf7f0ec1cd2b25878	[ "Apache-2.0" ]	null	null	null	org/apache/helix/package-info.py	zzhang5/helix-python-binding	11a9ecf730bce07720e0b0bcf7f0ec1cd2b25878	[ "Apache-2.0" ]	1	2020-03-31T21:43:01.000Z	2020-03-31T21:43:01.000Z	# package org.apache.helix #from org.apache.helix import *	15	31	0.75	9	60	5	0.666667	0.4	0.622222	0	0	0	0	0	0	0	0	0.133333	60	3	32	20	0.865385	0.9	null	0	null	0	0	null	0	null	1	null	true	0	0	null	null	null	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	null	0	0	1	0	0	0	0	0	6
252b310414dfcec51e95ebabbd22c06cd1f1f7c5	4,969	py	Python	userbot/plugins/troll.py	Marshmellow098/AK-CRAZY-TECH-BOT	66b6f57810447b31bb81d675bd1fd5a58740ceb6	[ "MIT" ]	null	null	null	userbot/plugins/troll.py	Marshmellow098/AK-CRAZY-TECH-BOT	66b6f57810447b31bb81d675bd1fd5a58740ceb6	[ "MIT" ]	null	null	null	userbot/plugins/troll.py	Marshmellow098/AK-CRAZY-TECH-BOT	66b6f57810447b31bb81d675bd1fd5a58740ceb6	[ "MIT" ]	null	null	null	""" Created by @Jisan7509 plugin for Cat_Userbot ☝☝☝ You remove this, you gay. """ from telethon import events from telethon.errors.rpcerrorlist import YouBlockedUserError from userbot import CMD_HELP, bot from userbot.utils import admin_cmd @bot.on(admin_cmd(pattern="fox ?(.*)", outgoing=True)) async def _(event):...	34.268966	76	0.603743	600	4,969	4.916667	0.168333	0.050847	0.054237	0.067797	0.823051	0.802034	0.776271	0.761356	0.745763	0.745763	0.014774	0.26444	4,969	144	77	34.506944	0.787415	0.014892	0.637097	0	0	0.113567	0	0	0	0	1	0	false	0	0.032258	0	0.112903	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
257072f815a0c657fc29e50979b18dcdbb412cca	20	py	Python	src/test/resources/input/tree/lambda.py	benoit-maillard/scallion-python-parser	be7483d9d47aaa4b80523a0e67df6f566c5ca36b	[ "Apache-2.0" ]	2	2020-02-27T14:02:24.000Z	2020-03-27T13:07:02.000Z	src/test/resources/input/tree/lambda.py	benoit-maillard/scallion-python-parser	be7483d9d47aaa4b80523a0e67df6f566c5ca36b	[ "Apache-2.0" ]	null	null	null	src/test/resources/input/tree/lambda.py	benoit-maillard/scallion-python-parser	be7483d9d47aaa4b80523a0e67df6f566c5ca36b	[ "Apache-2.0" ]	null	null	null	lambda x, y=0: x + y	20	20	0.55	6	20	1.833333	0.666667	0.363636	0	0	0	0	0	0	0	0	0.066667	0.25	20	1	20	20	0.666667	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0	1	1	1	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	0	0	6
c29039630586ba9adcbfec07aae2fa64e6ad8f9a	119	py	Python	python/testData/inspections/PyProtectedMemberInspection/ImportFromTheSamePackage/my_package/my_public_module.py	truthiswill/intellij-community	fff88cfb0dc168eea18ecb745d3e5b93f57b0b95	[ "Apache-2.0" ]	2	2019-04-28T07:48:50.000Z	2020-12-11T14:18:08.000Z	python/testData/inspections/PyProtectedMemberInspection/ImportFromTheSamePackage/my_package/my_public_module.py	truthiswill/intellij-community	fff88cfb0dc168eea18ecb745d3e5b93f57b0b95	[ "Apache-2.0" ]	173	2018-07-05T13:59:39.000Z	2018-08-09T01:12:03.000Z	python/testData/inspections/PyProtectedMemberInspection/ImportFromTheSamePackage/my_package/my_public_module.py	truthiswill/intellij-community	fff88cfb0dc168eea18ecb745d3e5b93f57b0b95	[ "Apache-2.0" ]	2	2020-03-15T08:57:37.000Z	2020-04-07T04:48:14.000Z	from my_package import _package_internal_module # False positive here _package_internal_module.very_smart_func("spam")	39.666667	69	0.87395	17	119	5.588235	0.764706	0.315789	0.442105	0	0	0	0	0	0	0	0	0.07563	119	3	70	39.666667	0.863636	0.159664	0	0	0	0.040404	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	6
6c4f49490a1f0c14c25c6a9277faaa7ab4dfad89	33	py	Python	maps/streambed/__init__.py	56kyle/bloons_auto	419d55b51d1cddc49099593970adf1c67985b389	[ "MIT" ]	null	null	null	maps/streambed/__init__.py	56kyle/bloons_auto	419d55b51d1cddc49099593970adf1c67985b389	[ "MIT" ]	null	null	null	maps/streambed/__init__.py	56kyle/bloons_auto	419d55b51d1cddc49099593970adf1c67985b389	[ "MIT" ]	null	null	null	from .streambed import Streambed	16.5	32	0.848485	4	33	7	0.75	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	0.965517	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	1	0	1	0	1	0	6
6c629166d7067f0c62fb31ab0d468417d4c40289	91	py	Python	flask_ember/resource.py	fr3akout/flask_ember	f3b3e28011571b8b58888be4fda4f42af0d4015c	[ "BSD-3-Clause" ]	null	null	null	flask_ember/resource.py	fr3akout/flask_ember	f3b3e28011571b8b58888be4fda4f42af0d4015c	[ "BSD-3-Clause" ]	null	null	null	flask_ember/resource.py	fr3akout/flask_ember	f3b3e28011571b8b58888be4fda4f42af0d4015c	[ "BSD-3-Clause" ]	null	null	null	from .resource_meta import ResourceMeta class Resource(metaclass=ResourceMeta): pass	15.166667	39	0.802198	10	91	7.2	0.8	0	0	0	0	0	0	0	0	0	0	0.142857	91	5	40	18.2	0.923077	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	1	1	0	1	0	6
66882a9dd8a5dd39a94dbe815c7e661fa02f4b74	35	py	Python	ezdisteach/model/file/__init__.py	call-learning/ez-disteach	7636dfdbfb709769824266800ebba18be764ecc3	[ "MIT" ]	null	null	null	ezdisteach/model/file/__init__.py	call-learning/ez-disteach	7636dfdbfb709769824266800ebba18be764ecc3	[ "MIT" ]	null	null	null	ezdisteach/model/file/__init__.py	call-learning/ez-disteach	7636dfdbfb709769824266800ebba18be764ecc3	[ "MIT" ]	null	null	null	from .binaryfile import BinaryFile	17.5	34	0.857143	4	35	7.5	0.75	0	0	0	0	0	0	0	0	0	0	0.114286	35	1	35	35	0.967742	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	6
dd2b9e779a950fc342c72ac14a518e11dd876d58	15,950	py	Python	packages/esp32_LoBo/frozen/display/fonts/ubuntu_condensed_20.py	TheVinhLuong102/micropy-stubs	55ff1773008f7c4dfc3d70a403986486226eb6b3	[ "MIT" ]	18	2019-07-11T13:31:09.000Z	2022-01-27T06:38:40.000Z	packages/esp32_LoBo/frozen/display/fonts/ubuntu_condensed_20.py	TheVinhLuong102/micropy-stubs	55ff1773008f7c4dfc3d70a403986486226eb6b3	[ "MIT" ]	9	2019-09-01T21:44:49.000Z	2022-02-04T20:55:08.000Z	packages/esp32_LoBo/frozen/display/fonts/ubuntu_condensed_20.py	TheVinhLuong102/micropy-stubs	55ff1773008f7c4dfc3d70a403986486226eb6b3	[ "MIT" ]	6	2019-10-08T05:31:21.000Z	2021-04-22T10:21:01.000Z	_FONT = { 32: [4, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], 33: [5, 1023, 1023, 1023, 1023, 1023, 963, 963, 963, 963, 963, 963, 963, 963, 963, 1023, 1023, 963, 963, 1023, 1023, 1023, 1023], 34: [7, 16383, 16383, 16383, 16383, 12483, 12483, 12483, 1248...	162.755102	273	0.701755	2,281	15,950	4.90662	0.137221	0.211758	0.242584	0.226948	0.597927	0.547177	0.446658	0.383578	0.348642	0.256523	0.818674	0.143197	15,950	97	274	164.43299	0.000293	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	1	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
dd41f5edeb67d65b8b1ba595630d60bedac95f71	6,094	py	Python	tests/integration/test_DataDragonApi.py	iKevinY/Riot-Watcher	2120c7cb08e6dcb7e2e23e00d6eb6294d0b824cf	[ "MIT" ]	1	2021-07-31T22:26:11.000Z	2021-07-31T22:26:11.000Z	tests/integration/test_DataDragonApi.py	iKevinY/Riot-Watcher	2120c7cb08e6dcb7e2e23e00d6eb6294d0b824cf	[ "MIT" ]	null	null	null	tests/integration/test_DataDragonApi.py	iKevinY/Riot-Watcher	2120c7cb08e6dcb7e2e23e00d6eb6294d0b824cf	[ "MIT" ]	null	null	null	import re import pytest @pytest.mark.integration @pytest.mark.parametrize("version", ("6.24.1", "8.24.1")) @pytest.mark.parametrize("locale", (None, "en_US", "zh_CN")) class TestDataDragonApi(object): def test_champion(self, mock_context, version, locale): actual_response = mock_context.watcher.data_drag...	36.933333	104	0.624549	650	6,094	5.616923	0.136923	0.132566	0.108463	0.150644	0.831005	0.831005	0.831005	0.819502	0.819502	0.819502	0.004032	0.267476	6,094	164	105	37.158537	0.813844	0	0.460432	0	0	0.156876	0	0	0	0.158273	1	0.079137	false	0	0.014388	0	0.107914	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
dd5033c549d687dc97c6928cc9def331564afeb9	28,632	py	Python	utils/srl_algorithms.py	taldatech/pytorch-ls-dqn	f6e63892e3ca9c00f6f719426cec03a3359f2f54	[ "MIT" ]	6	2020-01-13T09:05:20.000Z	2021-05-12T17:43:18.000Z	utils/srl_algorithms.py	taldatech/pytorch-ls-dqn	f6e63892e3ca9c00f6f719426cec03a3359f2f54	[ "MIT" ]	null	null	null	utils/srl_algorithms.py	taldatech/pytorch-ls-dqn	f6e63892e3ca9c00f6f719426cec03a3359f2f54	[ "MIT" ]	10	2020-02-27T13:49:15.000Z	2022-02-08T01:52:29.000Z	""" This file implements the SRL algorithms. Author: Tal Daniel """ # imports import torch import utils.utils as utils import copy def ls_step_dueling(net, tgt_net, batch, gamma, n_srl, lam=1.0, m_batch_size=256, device='cpu', use_boosting=False, use_double_dqn=False): """ This function p...	62.789474	121	0.660485	4,597	28,632	3.70807	0.045029	0.032559	0.038953	0.025343	0.903672	0.865775	0.821659	0.77197	0.725742	0.667605	0.013951	0.226425	28,632	455	122	62.927473	0.755655	0.394873	0.362445	0	0	0.016755	0	0	0	0	1	0.017467	false	0	0.0131	0	0.039301	0.017467	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
dd735ca8001e8d8b44ea10a90094c8707eb8adb0	659	py	Python	software/misc/get_gene_mde.py	Searchlight2/Searchlight2	87c85975be49c503f79063d72d321da21a6c6341	[ "MIT" ]	17	2018-12-11T13:36:12.000Z	2022-03-31T06:27:59.000Z	software/misc/get_gene_mde.py	Searchlight2/Searchlight2	87c85975be49c503f79063d72d321da21a6c6341	[ "MIT" ]	1	2019-11-26T11:00:57.000Z	2019-11-26T11:01:12.000Z	software/misc/get_gene_mde.py	Searchlight2/Searchlight2	87c85975be49c503f79063d72d321da21a6c6341	[ "MIT" ]	7	2020-05-21T16:35:41.000Z	2022-03-31T06:28:01.000Z	def get_gene_mde(global_variables,gene_dictionary,de_IDs): values_list = [] for de_ID in de_IDs: de_Dict = gene_dictionary[de_ID] values_list.append(de_Dict["log2fold"]) for de_ID in de_IDs: de_Dict = gene_dictionary[de_ID] values_list.append(de_Dict["p"]) for de_ID in ...	28.652174	58	0.661608	106	659	3.716981	0.207547	0.101523	0.243655	0.114213	0.766497	0.766497	0.766497	0.766497	0.766497	0.766497	0.002	0.241275	659	22	59	29.954545	0.786	0	0.555556	0	0	0.033435	0	0	0	0	1	0.055556	false	0	0	0	0.111111	0	0	0	0	null	0	1	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
dd7d382d66eb07a2dde23c639b64e1722a693347	22,802	py	Python	src/context_sensitive_grammar.py	Pogozhelskaya/pctm	7c858899e87544eee9efdd67d59ac518d88b0d4e	[ "MIT" ]	1	2020-10-11T14:22:09.000Z	2020-10-11T14:22:09.000Z	src/context_sensitive_grammar.py	Pogozhelskaya/pctm	7c858899e87544eee9efdd67d59ac518d88b0d4e	[ "MIT" ]	null	null	null	src/context_sensitive_grammar.py	Pogozhelskaya/pctm	7c858899e87544eee9efdd67d59ac518d88b0d4e	[ "MIT" ]	1	2022-01-08T17:48:17.000Z	2022-01-08T17:48:17.000Z	""" Context Sensitive Grammar module """ import itertools from pyformlang import cfg from src.grammar import Grammar from src.my_production import Production from src.turing_machine import TuringMachine class ContextSensitiveGrammar(Grammar): """ Class representing a Context Sensitive Grammar Subclass ...	54.550239	114	0.519691	2,582	22,802	4.416731	0.045314	0.097422	0.067345	0.086987	0.901613	0.882848	0.847773	0.82778	0.82322	0.819362	0.002779	0.352952	22,802	417	115	54.681055	0.770164	0.282431	0.677551	0	0	0.206783	0.184961	0	0	0	1	0.040816	false	0	0.020408	0	0.069388	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
dd80769f9cb271532b4a57f0a5028c453baf0495	49	py	Python	tef/python/tef/ops/__init__.py	jony0917/tensorflow-extend-framework	5db3a0ed373173fd799d292bfcc7e5544882e9d0	[ "Apache-2.0" ]	12	2020-02-04T04:06:03.000Z	2021-09-18T12:14:04.000Z	tef/python/tef/ops/__init__.py	jony0917/tensorflow-extend-framework	5db3a0ed373173fd799d292bfcc7e5544882e9d0	[ "Apache-2.0" ]	null	null	null	tef/python/tef/ops/__init__.py	jony0917/tensorflow-extend-framework	5db3a0ed373173fd799d292bfcc7e5544882e9d0	[ "Apache-2.0" ]	null	null	null	from embedding import * from variable import *	9.8	23	0.755102	6	49	6.166667	0.666667	0	0	0	0	0	0	0	0	0	0	0.204082	49	4	24	12.25	0.948718	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	1	0	1	0	1	0	6
dd9d0a578e6e1273cc280b7d2da206542f4be3bc	155	py	Python	intersection-of-two-arrays-ii/intersection-of-two-arrays-ii.py	Dongfang1021/Leetcode	4ecdad3279300720e92eeac683962ebc52c98a12	[ "MIT" ]	1	2021-06-05T06:26:32.000Z	2021-06-05T06:26:32.000Z	intersection-of-two-arrays-ii/intersection-of-two-arrays-ii.py	Dongfang1021/Leetcode	4ecdad3279300720e92eeac683962ebc52c98a12	[ "MIT" ]	null	null	null	intersection-of-two-arrays-ii/intersection-of-two-arrays-ii.py	Dongfang1021/Leetcode	4ecdad3279300720e92eeac683962ebc52c98a12	[ "MIT" ]	null	null	null	class Solution: def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]: return list((Counter(nums1) & Counter(nums2)).elements())	51.666667	73	0.658065	20	155	5.1	0.6	0.205882	0	0	0	0	0	0	0	0	0.030769	0.16129	155	3	74	51.666667	0.753846	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0.333333	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	1	0	0	0	1	1	0	6
06d012c560ec402e6c244843db98770df048c7a6	269	py	Python	Dragon/python/dragon/vm/tensorflow/examples/tutorials/mnist/input_data.py	neopenx/Dragon	0e639a7319035ddc81918bd3df059230436ee0a1	[ "BSD-2-Clause" ]	212	2015-07-05T07:57:17.000Z	2022-02-27T01:55:35.000Z	Dragon/python/dragon/vm/tensorflow/examples/tutorials/mnist/input_data.py	neopenx/Dragon	0e639a7319035ddc81918bd3df059230436ee0a1	[ "BSD-2-Clause" ]	6	2016-07-07T14:31:56.000Z	2017-12-12T02:21:15.000Z	Dragon/python/dragon/vm/tensorflow/examples/tutorials/mnist/input_data.py	neopenx/Dragon	0e639a7319035ddc81918bd3df059230436ee0a1	[ "BSD-2-Clause" ]	71	2016-03-24T09:02:41.000Z	2021-06-03T01:52:41.000Z	# -------------------------------------------------------- # TensorFlow @ Dragon # Copyright(c) 2017 SeetaTech # Written by Ting Pan # -------------------------------------------------------- from dragon.vm.tensorflow.contrib.learn.datasets.mnist import read_data_sets	38.428571	76	0.453532	22	269	5.454545	0.909091	0	0	0	0	0	0	0	0	0	0.016129	0.078067	269	7	76	38.428571	0.467742	0.672862	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	1	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	6
06ef30841b0721d6a5cb6dd55adbcc80854c8dea	159	py	Python	utils/__init__.py	edujime23/Bot.py	0cd7c2002d81c8cc292890b21d4a3e588f4f7559	[ "Unlicense" ]	null	null	null	utils/__init__.py	edujime23/Bot.py	0cd7c2002d81c8cc292890b21d4a3e588f4f7559	[ "Unlicense" ]	null	null	null	utils/__init__.py	edujime23/Bot.py	0cd7c2002d81c8cc292890b21d4a3e588f4f7559	[ "Unlicense" ]	null	null	null	from .cache import * from .colors import * from .decorators import * from .http import * from .progressbar import * from .time import * from .hashlib import *	19.875	26	0.735849	21	159	5.571429	0.428571	0.512821	0	0	0	0	0	0	0	0	0	0.176101	159	7	27	22.714286	0.89313	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	1	0	1	0	1	0	6
660533f7854d7e685a6e44ce801cced7ac239023	63	py	Python	testpackagedjwihdowaoidoiwah/__init__.py	naman108/PyPiHelloWorld	f8da61c295d55b1ec8b98cdab15cbd03c8189fbc	[ "MIT" ]	null	null	null	testpackagedjwihdowaoidoiwah/__init__.py	naman108/PyPiHelloWorld	f8da61c295d55b1ec8b98cdab15cbd03c8189fbc	[ "MIT" ]	null	null	null	testpackagedjwihdowaoidoiwah/__init__.py	naman108/PyPiHelloWorld	f8da61c295d55b1ec8b98cdab15cbd03c8189fbc	[ "MIT" ]	null	null	null	from testpackagedjwihdowaoidoiwah.helloworld import helloworld	31.5	62	0.920635	5	63	11.6	0.8	0	0	0	0	0	0	0	0	0	0	0.063492	63	1	63	63	0.983051	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	1	0	6
660f441bb7fd009baf19dbb17df1d1d17c1240c6	386	py	Python	src/logo.py	josx/FisherMan	dd7db19d2c73d421b01b179f9ea1cb40f8b2893d	[ "BSD-3-Clause" ]	105	2021-06-27T09:25:06.000Z	2022-03-29T09:29:58.000Z	src/logo.py	josx/FisherMan	dd7db19d2c73d421b01b179f9ea1cb40f8b2893d	[ "BSD-3-Clause" ]	11	2021-07-03T02:32:54.000Z	2022-03-19T11:47:31.000Z	src/logo.py	josx/FisherMan	dd7db19d2c73d421b01b179f9ea1cb40f8b2893d	[ "BSD-3-Clause" ]	28	2021-04-28T16:15:25.000Z	2022-03-18T08:11:01.000Z	name = r""" ______ _ __ __ ___ / ____/ (_) _____ / /_ ___ _____ / \|/ / ____ _ ____ / /_ / / / ___/ / __ \ / _ \ / ___/ / /\|_/ / / __ `/ / __ \ / __/ / / (__ ) / / / // __/ / / / / / / / /_/ / / / / / /_/ /_...	48.25	73	0.227979	2	386	2.5	1	0	0	0	0	0	0	0	0	0	0	0.53886	386	7	74	55.142857	0.02809	0	0	0	0.428571	0.96114	0	0	0	0	1	0	false	0	0	0	0	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	6
660f84f58dccfd95252b1c75c289dfd32abd24a3	173	py	Python	idem/idem/compiler/0020_verify_high.py	brejoc/idem	12a901f60e77d6fc8a4c8a7496ac0b54b588cf7a	[ "Apache-2.0" ]	16	2019-10-10T22:23:48.000Z	2022-03-23T18:12:37.000Z	idem/idem/compiler/0020_verify_high.py	brejoc/idem	12a901f60e77d6fc8a4c8a7496ac0b54b588cf7a	[ "Apache-2.0" ]	14	2019-11-01T15:15:26.000Z	2020-02-10T15:42:55.000Z	idem/idem/compiler/0020_verify_high.py	brejoc/idem	12a901f60e77d6fc8a4c8a7496ac0b54b588cf7a	[ "Apache-2.0" ]	5	2019-10-15T11:54:11.000Z	2019-11-27T07:50:30.000Z	def stage(hub, name): high, errors = hub.idem.verify.high(hub.idem.RUNS[name]['high']) hub.idem.RUNS[name]['high'] = high hub.idem.RUNS[name]['errors'] = errors	34.6	68	0.641618	27	173	4.111111	0.333333	0.252252	0.297297	0.405405	0.54955	0.378378	0	0	0	0	0	0.144509	173	4	69	43.25	0.75	0	0	0	0	0.080925	0	0	0	0	1	0.25	false	0	0	0	0.25	0	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	1	0	0	0	0	0	0	6
b0d6ac7dcd5dedebe5fb054a8b47b9f744084ac1	40	py	Python	nntool/objective/loss_function/__init__.py	NLP-Deeplearning-Club/nntool	1bbf0a20c7526d423f351ba9a854902a669d3713	[ "MIT" ]	null	null	null	nntool/objective/loss_function/__init__.py	NLP-Deeplearning-Club/nntool	1bbf0a20c7526d423f351ba9a854902a669d3713	[ "MIT" ]	null	null	null	nntool/objective/loss_function/__init__.py	NLP-Deeplearning-Club/nntool	1bbf0a20c7526d423f351ba9a854902a669d3713	[ "MIT" ]	null	null	null	from .corss_entropy import CrossEntropy	20	39	0.875	5	40	6.8	1	0	0	0	0	0	0	0	0	0	0	0.1	40	1	40	40	0.944444	0	0	0	0	0	0	0	0	0	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	1	0	1	0	1	0	6
b0eee512be2967d3c4dea6d661461a9233e62dc5	408	py	Python	skimage/transform/__init__.py	emmanuelle/scikits.image	eccc41907135cf81b99c4be18a480a9bc705485d	[ "BSD-3-Clause" ]	2	2020-02-17T18:54:33.000Z	2021-09-28T15:18:23.000Z	skimage/transform/__init__.py	emmanuelle/scikits.image	eccc41907135cf81b99c4be18a480a9bc705485d	[ "BSD-3-Clause" ]	1	2015-09-04T09:25:46.000Z	2015-09-04T09:25:46.000Z	skimage/transform/__init__.py	emmanuelle/scikit-image	eccc41907135cf81b99c4be18a480a9bc705485d	[ "BSD-3-Clause" ]	null	null	null	from .hough_transform import * from .radon_transform import * from .finite_radon_transform import * from ._project import homography as fast_homography from .integral import * from ._geometric import (warp, warp_coords, estimate_transform, SimilarityTransform, AffineTransform, ...	40.8	66	0.737745	40	408	7.275	0.525	0.137457	0.195876	0.164948	0	0	0	0	0	0	0	0.213235	408	9	67	45.333333	0.906542	0	0	0	0	0	0	0	0	0	1	0	true	0	0.777778	0	0.777778	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	1	0	1	0	1	0	6
b0fd7a04cc9e8093e90aaec9e2403affc937f3c3	221	py	Python	sahi/utils/versions.py	L-Net-1992/sahi	43f008948419ebff1e0c1861c3cee4ead23fcad1	[ "MIT" ]	null	null	null	sahi/utils/versions.py	L-Net-1992/sahi	43f008948419ebff1e0c1861c3cee4ead23fcad1	[ "MIT" ]	null	null	null	sahi/utils/versions.py	L-Net-1992/sahi	43f008948419ebff1e0c1861c3cee4ead23fcad1	[ "MIT" ]	null	null	null	import sys # The package importlib_metadata is in a different place, depending on the python version. if sys.version_info < (3, 8): import importlib_metadata else: import importlib.metadata as importlib_metadata	27.625	90	0.782805	32	221	5.28125	0.65625	0.402367	0.272189	0	0	0	0	0	0	0	0.01087	0.167421	221	7	91	31.571429	0.907609	0.39819	0	0	0	0	0	0	0	0	1	0	true	0	0.6	0	0.6	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	1	0	1	0	1	0	6
b0476cb29b17f95ed6f7c3adb97769b69de798e5	162	py	Python	Python/Desafio_005.py	tonmarcondes/UNIVESP	a66a623d4811e8f3f9e2999f09e38a4470035ae2	[ "MIT" ]	null	null	null	Python/Desafio_005.py	tonmarcondes/UNIVESP	a66a623d4811e8f3f9e2999f09e38a4470035ae2	[ "MIT" ]	null	null	null	Python/Desafio_005.py	tonmarcondes/UNIVESP	a66a623d4811e8f3f9e2999f09e38a4470035ae2	[ "MIT" ]	null	null	null	n1 = eval(input('Qual o seu salário? ')) print('O seu salário de R${:.2f} teve um aumento de 15% e passou a ser de R${:.2f}\nParabéns\n'.format(n1, n1 * 1.15))	54	119	0.635802	33	162	3.121212	0.69697	0.07767	0.213592	0	0	0	0	0	0	0	0.074627	0.17284	162	2	120	81	0.69403	0	0	0	0.5	0.66875	0	0	0	0	1	0	false	0.5	0	0	0	0.5	0	0	0	null	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	0	null	0	0	0	1	0	0	0	1	6
c6d3713b0cf54e8729fa5c821e8e3a5d7052cd0a	13,328	gyp	Python	examples/pxScene2d/external/libnode-v10.15.3/deps/v8/gypfiles/unittests.gyp	madanagopaltcomcast/pxCore	c4a3a40a190521c8b6383d126c87612eca5b3c42	[ "Apache-2.0" ]	918	2016-12-22T02:53:08.000Z	2022-03-22T06:21:35.000Z	examples/pxScene2d/external/libnode-v10.15.3/deps/v8/gypfiles/unittests.gyp	madanagopaltcomcast/pxCore	c4a3a40a190521c8b6383d126c87612eca5b3c42	[ "Apache-2.0" ]	1,432	2017-06-21T04:08:48.000Z	2020-08-25T16:21:15.000Z	examples/pxScene2d/external/libnode-v10.15.3/deps/v8/gypfiles/unittests.gyp	madanagopaltcomcast/pxCore	c4a3a40a190521c8b6383d126c87612eca5b3c42	[ "Apache-2.0" ]	317	2017-06-20T19:57:17.000Z	2020-09-16T10:28:30.000Z	# Copyright 2014 the V8 project authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # The sources are kept automatically in sync with BUILD.gn. { 'variables': { 'v8_code': 1, 'unittests_sources': [ '../test/unittests/alloc...	46.277778	88	0.640756	1,419	13,328	5.96265	0.188865	0.261198	0.26238	0.391443	0.666115	0.442855	0.203286	0.086278	0	0	0.00955	0.167167	13,328	287	89	46.439024	0.752703	0.016131	0.202847	0	0	0.765182	0.73787	0	0	0	1	0	true	0	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	null	0	0	1	0	0	0	0	0	6
05ae94f371d6186769b1fa28cfac5e6eedebaf5b	145	py	Python	server/toolkits/migrations/__init__.py	Soopro/totoro	6be1af50496340ded9879a6450c8208ac9f97e72	[ "MIT" ]	null	null	null	server/toolkits/migrations/__init__.py	Soopro/totoro	6be1af50496340ded9879a6450c8208ac9f97e72	[ "MIT" ]	null	null	null	server/toolkits/migrations/__init__.py	Soopro/totoro	6be1af50496340ded9879a6450c8208ac9f97e72	[ "MIT" ]	1	2019-10-31T06:11:41.000Z	2019-10-31T06:11:41.000Z	# coding=utf-8 from __future__ import absolute_import from .media import * from .user import * from .book import * from .configuration import *	18.125	38	0.765517	20	145	5.3	0.55	0.377358	0	0	0	0	0	0	0	0	0.008197	0.158621	145	7	39	20.714286	0.860656	0.082759	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	1	0	1	0	1	0	6
afae7161c65ba367a517e444f591cd0faa7915dd	1,859	py	Python	src/problem008.py	galah92/project-euler	d4be56e945e8549905fc530449b3d1f59d71554d	[ "MIT" ]	null	null	null	src/problem008.py	galah92/project-euler	d4be56e945e8549905fc530449b3d1f59d71554d	[ "MIT" ]	null	null	null	src/problem008.py	galah92/project-euler	d4be56e945e8549905fc530449b3d1f59d71554d	[ "MIT" ]	null	null	null	""" Largest product in a series The four adjacent digits in the 1000-digit number that have the greatest product are 9 x 9 x 8 x 9 = 5832. Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. What is the value of this product? """ def main(): """ Iterating over the number, we'...	50.243243	77	0.782679	139	1,859	10.410072	0.539568	0.01935	0.022115	0.026261	0.08293	0.08293	0.08293	0.08293	0.08293	0.08293	0.642992	0.144164	1,859	37	78	50.243243	0.266499	0	0	0	0	0.681081	0.675676	0	0	0	0	null	null	0	0	null	null	0.037037	0	0	1	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	1	1	null	1	0	0	0	0	0	0	0	6
afcc9d624d3666a7f6fe979ce4edd9f6f62a200c	23	py	Python	gphotos/__init__.py	stevenewbs/gphotos-cli	37ceb8f56bc6ca8d7815d02fef98a7d68702b246	[ "MIT" ]	3	2019-11-08T20:13:57.000Z	2021-01-20T00:13:02.000Z	gphotos/__init__.py	stevenewbs/gphotos-cli	37ceb8f56bc6ca8d7815d02fef98a7d68702b246	[ "MIT" ]	1	2021-09-02T16:37:43.000Z	2021-09-02T16:37:43.000Z	gphotos/__init__.py	stevenewbs/gphotos-cli	37ceb8f56bc6ca8d7815d02fef98a7d68702b246	[ "MIT" ]	1	2020-03-11T22:02:57.000Z	2020-03-11T22:02:57.000Z	from .gphotos import *	11.5	22	0.73913	3	23	5.666667	1	0	0	0	0	0	0	0	0	0	0	0.173913	23	1	23	23	0.894737	0	0	0	0	0	0	0	0	0	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	1	0	1	0	1	0	6
afd460a0e3552f7de3dbfe454ba0e0225d3f8192	140	py	Python	CreateList.py	Vassago55/SomeAlgorithm	8c3b82472d7a1e2cc7cd211fdc593dc78526dfdf	[ "MIT" ]	null	null	null	CreateList.py	Vassago55/SomeAlgorithm	8c3b82472d7a1e2cc7cd211fdc593dc78526dfdf	[ "MIT" ]	null	null	null	CreateList.py	Vassago55/SomeAlgorithm	8c3b82472d7a1e2cc7cd211fdc593dc78526dfdf	[ "MIT" ]	null	null	null	# -- coding:utf-8 -- import random def create_list(start, end, number): return [random.randint(start, end) for _ in range(number)]	17.5	62	0.671429	20	140	4.6	0.8	0.173913	0	0	0	0	0	0	0	0	0.008621	0.171429	140	7	63	20	0.784483	0.142857	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	1	0	0	1	1	1	0	6
afd5fcba56bdf10e08f21a891cf5e7ed572dbf94	43	py	Python	dependencyInjectors/__init__.py	vishu221b/bookme-flask-REST-API-Collection	9ee923e13d786af9b11421370edac718743855af	[ "MIT" ]	null	null	null	dependencyInjectors/__init__.py	vishu221b/bookme-flask-REST-API-Collection	9ee923e13d786af9b11421370edac718743855af	[ "MIT" ]	null	null	null	dependencyInjectors/__init__.py	vishu221b/bookme-flask-REST-API-Collection	9ee923e13d786af9b11421370edac718743855af	[ "MIT" ]	null	null	null	from .filesContainer import FilesContainer	21.5	42	0.883721	4	43	9.5	0.75	0	0	0	0	0	0	0	0	0	0	0.093023	43	1	43	43	0.974359	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	1	0	1	0	1	0	6
bb8ed624cc1fd7b04979bb126c0f4bb1f5b49454	56	py	Python	matplotvideo/__init__.py	cryoguy/matplotvideo	70c891819ac10b504e1f44f01f76b447fedcbbd9	[ "MIT" ]	31	2020-05-08T21:52:06.000Z	2022-03-27T00:43:25.000Z	matplotvideo/__init__.py	cryoguy/matplotvideo	70c891819ac10b504e1f44f01f76b447fedcbbd9	[ "MIT" ]	6	2020-05-09T07:15:12.000Z	2021-07-20T16:35:07.000Z	matplotvideo/__init__.py	cryoguy/matplotvideo	70c891819ac10b504e1f44f01f76b447fedcbbd9	[ "MIT" ]	5	2020-05-08T21:51:50.000Z	2021-11-11T02:08:18.000Z	from .video_player import attach_video_player_to_figure	28	55	0.910714	9	56	5.111111	0.777778	0.478261	0	0	0	0	0	0	0	0	0	0.071429	56	1	56	56	0.884615	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	1	0	1	0	1	0	6
bbf649a54455bde7fcafa16f8edfae6576448557	3,403	py	Python	tests/users/test_delete.py	carbonariy/dvhb-hybrid	adbb250767ea255addc607fb6f6755c9add447db	[ "MIT" ]	27	2018-05-08T16:03:24.000Z	2020-02-20T06:39:19.000Z	tests/users/test_delete.py	carbonariy/dvhb-hybrid	adbb250767ea255addc607fb6f6755c9add447db	[ "MIT" ]	7	2018-10-20T16:03:36.000Z	2021-11-03T11:09:22.000Z	tests/users/test_delete.py	carbonariy/dvhb-hybrid	adbb250767ea255addc607fb6f6755c9add447db	[ "MIT" ]	16	2018-12-11T15:34:22.000Z	2022-01-25T00:20:55.000Z	import pytest @pytest.fixture def user_deletion_request(make_request): async def wrapper(expected_status=None, client=None): return await make_request( 'dvhb_hybrid.user:request_deletion', client=client, expected_status=expected_status) return wrapper @pytest.fixture def confirm_deletion...	36.202128	114	0.761681	450	3,403	5.442222	0.12	0.171499	0.073499	0.095549	0.858718	0.85341	0.830543	0.799102	0.783585	0.783585	0.012789	0.149868	3,403	93	115	36.591398	0.833737	0	0.591549	0	0	0.043491	0.028798	0	0	0.028169	1	0.056338	false	0.028169	0.014085	0	0.183099	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
3c381c011e831d08164066c30c467aa9508bb433	97	py	Python	tests/conftest.py	jyooru/tass	b4b557a209a7119f3bb5a0dd86d45f5d546a9ca3	[ "MIT" ]	null	null	null	tests/conftest.py	jyooru/tass	b4b557a209a7119f3bb5a0dd86d45f5d546a9ca3	[ "MIT" ]	42	2021-07-07T07:58:35.000Z	2022-01-31T09:08:42.000Z	tests/conftest.py	jyooru/tass	b4b557a209a7119f3bb5a0dd86d45f5d546a9ca3	[ "MIT" ]	null	null	null	import pytest from faker import Faker @pytest.fixture def faker() -> Faker: return Faker()	12.125	23	0.71134	13	97	5.307692	0.538462	0	0	0	0	0	0	0	0	0	0	0.195876	97	7	24	13.857143	0.884615	0	0	0	0	0	0	0	0	0	1	0.2	true	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	1	0	1	1	1	0	6
3c788ba5a2080d8b18e24dc5dd69dc4352790b42	4,135	py	Python	gym_mdptetris/envs/tests/test_feature_functions.py	Benjscho/gym-mdptetris	1a47edc33330deb638a03275e484c3e26932d802	[ "MIT" ]	2	2021-09-29T17:36:35.000Z	2021-10-18T18:40:41.000Z	gym_mdptetris/envs/tests/test_feature_functions.py	Benjscho/gym-mdptetris	1a47edc33330deb638a03275e484c3e26932d802	[ "MIT" ]	null	null	null	gym_mdptetris/envs/tests/test_feature_functions.py	Benjscho/gym-mdptetris	1a47edc33330deb638a03275e484c3e26932d802	[ "MIT" ]	null	null	null	import unittest import gym_mdptetris.envs.board as board import gym_mdptetris.envs.piece as piece import gym_mdptetris.envs.feature_functions as f O = """ XX XX """ L = """ X X XX """ class featureTests(unittest.TestCase): @classmethod def setUpClass(cls): """Run expensive functions that need to be ...	39.380952	87	0.65925	616	4,135	4.279221	0.112013	0.225341	0.147951	0.204856	0.834977	0.80956	0.806904	0.765175	0.628983	0.56525	0.029652	0.200726	4,135	105	88	39.380952	0.767927	0.017654	0.548387	0	0	0.003697	0	0	0	0.225806	1	0.086022	false	0	0.043011	0	0.139785	0	0	0	0	null	1	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	6
3c9ad00f7b167f8cfbb46ace4809ff8d660d5afc	254	py	Python	trainer/models/__init__.py	Ouwen/MimickNet	2b255f37af3cd18a47dac08de2c0c98bf9a3280a	[ "Apache-2.0" ]	34	2019-10-02T18:31:43.000Z	2022-03-07T08:33:49.000Z	trainer/models/__init__.py	Ouwen/MimickNet	2b255f37af3cd18a47dac08de2c0c98bf9a3280a	[ "Apache-2.0" ]	3	2019-10-03T01:54:03.000Z	2021-02-25T16:53:40.000Z	trainer/models/__init__.py	Ouwen/MimickNet	2b255f37af3cd18a47dac08de2c0c98bf9a3280a	[ "Apache-2.0" ]	10	2019-11-05T02:08:42.000Z	2020-07-07T19:28:23.000Z	from trainer.models.unet import UnetModel from trainer.models.resunet import ResUnetModel from trainer.models.patch_discriminator import PatchDiscriminatorModel from trainer.models.cyclegan import CycleGAN from trainer.models.model_base import ModelBase	42.333333	70	0.88189	32	254	6.9375	0.46875	0.247748	0.382883	0	0	0	0	0	0	0	0	0.07874	254	5	71	50.8	0.948718	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	1	0	1	0	1	0	6
595093a4b1f363d23db75fcf0159c8889d5b82ec	31	py	Python	wordmarker/__init__.py	lostblackknight/wordmarker	cbdfd6b6d5ae8c48b11825afcf86afe9f7386a48	[ "MIT" ]	2	2021-04-19T14:26:24.000Z	2021-05-01T14:59:20.000Z	wordmarker/__init__.py	lostblackknight/wordmarker	cbdfd6b6d5ae8c48b11825afcf86afe9f7386a48	[ "MIT" ]	null	null	null	wordmarker/__init__.py	lostblackknight/wordmarker	cbdfd6b6d5ae8c48b11825afcf86afe9f7386a48	[ "MIT" ]	null	null	null	""" :作者: 陈思祥 :时间: 2021年4月 """	5.166667	12	0.451613	4	31	3.5	1	0	0	0	0	0	0	0	0	0	0.208333	0.225806	31	5	13	6.2	0.375	0.709677	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	1	0	1	0	1	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	6

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