Split (1)

train · 13M rows

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29f348ce2221e92c79d25e0d2151332aec4f637c	1,100	py	Python	memoro/wsgi.py	bbengfort/memorandi	4591d26c097513d67e11916583ed043e78e87816	[ "MIT" ]	null	null	null	memoro/wsgi.py	bbengfort/memorandi	4591d26c097513d67e11916583ed043e78e87816	[ "MIT" ]	18	2020-12-02T16:37:21.000Z	2021-09-22T19:40:37.000Z	memoro/wsgi.py	bbengfort/memorandi	4591d26c097513d67e11916583ed043e78e87816	[ "MIT" ]	null	null	null	# memoro.wsgi # WSGI config for memoro project. # # Author: Benjamin Bengfort <benjamin@bengfort.com> # Created: Sat Nov 28 13:44:01 2020 -0500 # # Copyright (C) 2020 Bengfort.com # For license information, see LICENSE # # ID: wsgi.py [] benjamin@bengfort.com $ """ WSGI config for memoro project. It exposes the W...	28.205128	78	0.555455	113	1,100	5.318584	0.575221	0.079867	0.043261	0.063228	0.086522	0	0	0	0	0	0.022222	0.1	1,100	38	79	28.947368	0.584848	0.464545	0	0	0	0.180812	0.180812	0	0	0	0	1	0	false	0	0.5	0	0.5	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1
29f40d1447bb8284816ad9a4024cc926058b38fe	29,679	py	Python	serialized_data_converter.py	facelessuser/SerializedDataConverter	6cd0d59ae6cda98208e60e9c729d0eb047fe93db	[ "MIT" ]	19	2015-02-13T08:16:32.000Z	2021-07-31T02:55:39.000Z	serialized_data_converter.py	facelessuser/SerializedDataConverter	6cd0d59ae6cda98208e60e9c729d0eb047fe93db	[ "MIT" ]	9	2015-03-10T15:34:08.000Z	2019-11-18T01:57:20.000Z	serialized_data_converter.py	facelessuser/SerializedDataConverter	6cd0d59ae6cda98208e60e9c729d0eb047fe93db	[ "MIT" ]	4	2015-10-01T16:04:52.000Z	2019-10-27T00:53:36.000Z	""" Serialized Data Converter. Licensed under MIT Copyright (c) 2012 - 2015 Isaac Muse <isaacmuse@gmail.com> """ import sublime import sublime_plugin import codecs import re import traceback import os from SerializedDataConverter.lib.log import error_msg from SerializedDataConverter.lib import plist_includes as plist ...	36.371324	117	0.553253	3,364	29,679	4.749405	0.0761	0.023409	0.030982	0.019153	0.750955	0.722852	0.675033	0.642987	0.62615	0.601364	0.004264	0.344183	29,679	815	118	36.415951	0.816584	0.125375	0.724258	0	0	0.152553	0.035821	0	0	0	0	1	0.064572	false	0	0.017452	0	0.17452	0	0	0	null	0	0	1	0	0	0	1	0	1	0	null	0	0	0	0	0	0	0	0	0	0	3
29f5d029a675792751ff0f3ac8e9946cca353e7b	1,592	py	Python	test.py	SirNate0/PYrho3D	b0daa3badccd12adfcb9e7cf50d554c805cc6279	[ "MIT" ]	6	2020-02-20T07:42:07.000Z	2021-03-27T13:26:47.000Z	test.py	SirNate0/PYrho3D	b0daa3badccd12adfcb9e7cf50d554c805cc6279	[ "MIT" ]	null	null	null	test.py	SirNate0/PYrho3D	b0daa3badccd12adfcb9e7cf50d554c805cc6279	[ "MIT" ]	null	null	null	#!/usr/bin/env python2.7 import urho v = urho.Vector3() c = urho.Context() fs = urho.FileSystem(c) from urho import StringHash as sh import os print (os.getcwd()) class App(urho.Application): #def __init__(self, name): # Dog.__init__(self) # Without this, undefind behavior may occur if the C++ portions a...	24.875	107	0.66206	188	1,592	5.521277	0.5	0.081888	0.021195	0.05973	0.075145	0.075145	0	0	0	0	0.006304	0.202889	1,592	63	108	25.269841	0.811663	0.278266	0.060606	0	0	0.185349	0.046778	0	0	0	0	0	null	null	0	0.090909	null	null	0.181818	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	1
29f6bfc61051a4c8d3929a3bb610dca313e55859	7,696	py	Python	ajustes_UM/tesis/tesis/settings.py	abelgonzalez/ajustes	f6f99aea18cfb82750805321abfc822d8a6ec5ed	[ "MIT" ]	1	2015-03-04T13:04:33.000Z	2015-03-04T13:04:33.000Z	ajustes_UM/tesis/tesis/settings.py	abelgonzalez/ajustes	f6f99aea18cfb82750805321abfc822d8a6ec5ed	[ "MIT" ]	null	null	null	ajustes_UM/tesis/tesis/settings.py	abelgonzalez/ajustes	f6f99aea18cfb82750805321abfc822d8a6ec5ed	[ "MIT" ]	null	null	null	""" Django settings for tesis project. For more information on this file, see https://docs.djangoproject.com/en/1.7/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.7/ref/settings/ """ # -- coding: utf-8 -- # A tuple that lists people who get code error notifi...	34.204444	120	0.721674	1,045	7,696	5.226794	0.394258	0.015379	0.016477	0.024167	0.145002	0.100513	0.067192	0.039912	0.025998	0.011351	0.007677	0.170608	7,696	225	121	34.204444	0.848034	0.594335	0.020408	0	0.010204	0.401448	0.246134	0	0	0	0	1	0	false	0	0.030612	0	0.030612	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
29f700b90ab2377c8ba15763c3022ce5834a7f4f	4,445	py	Python	python/fe3lmaker/s3-driver.py	flarebyte/wonderful-bazar	810514cd7d73505b11d738f8b84d91842d18d074	[ "MIT" ]	null	null	null	python/fe3lmaker/s3-driver.py	flarebyte/wonderful-bazar	810514cd7d73505b11d738f8b84d91842d18d074	[ "MIT" ]	null	null	null	python/fe3lmaker/s3-driver.py	flarebyte/wonderful-bazar	810514cd7d73505b11d738f8b84d91842d18d074	[ "MIT" ]	null	null	null	#!/usr/bin/env python # This software code is made available "AS IS" without warranties of any # kind. You may copy, display, modify and redistribute the software # code either by itself or as incorporated into your code; provided that # you do not remove any proprietary notices. Your use of this software # cod...	37.352941	142	0.730259	673	4,445	4.710253	0.322437	0.063091	0.036909	0.048265	0.399054	0.376341	0.344164	0.215457	0.195268	0.195268	0.007922	0.148032	4,445	118	143	37.669492	0.829152	0.277165	0.30137	0	0.013699	0.396427	0.007521	0	0	0	0	0	null	null	0	0.041096	null	null	0.589041	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	1	0	2
29f709dd701c60c4489620b7e5b46e5aca1a0daf	7,468	py	Python	code/lib/models/FCRN_depth.py	santomon/taskonomy	4b22087a2686172b21b61589831061e7a386fe36	[ "MIT" ]	789	2018-03-21T05:28:38.000Z	2022-03-29T19:32:47.000Z	code/lib/models/FCRN_depth.py	santomon/taskonomy	4b22087a2686172b21b61589831061e7a386fe36	[ "MIT" ]	46	2018-05-03T07:11:10.000Z	2022-03-11T23:26:03.000Z	code/lib/models/FCRN_depth.py	santomon/taskonomy	4b22087a2686172b21b61589831061e7a386fe36	[ "MIT" ]	152	2018-03-24T10:20:44.000Z	2022-02-09T02:38:10.000Z	from __future__ import absolute_import, division, print_function from models.base_net import BaseNet import losses.all as losses_lib import tensorflow as tf import tensorflow.contrib.slim as slim import numpy as np import pdb import optimizers.train_steps as train_steps import optimizers.ops as optimize from functo...	38.494845	152	0.622657	920	7,468	4.827174	0.245652	0.024769	0.014636	0.012159	0.094348	0.061923	0.047512	0.047512	0.047512	0.047512	0.009542	0.29834	7,468	193	153	38.694301	0.837977	0.301285	0.121212	0	0	0.071488	0	0	0	0	0	1	0.080808	false	0	0.121212	0	0.272727	0.030303	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
29f82c973044d39870f0f41f75666b3782377f54	13,459	py	Python	tests/test_handler.py	Tas-Kit/platform	34e1abb3f85b9649cbf18496333bf35f74aa6e3d	[ "Apache-2.0" ]	null	null	null	tests/test_handler.py	Tas-Kit/platform	34e1abb3f85b9649cbf18496333bf35f74aa6e3d	[ "Apache-2.0" ]	null	null	null	tests/test_handler.py	Tas-Kit/platform	34e1abb3f85b9649cbf18496333bf35f74aa6e3d	[ "Apache-2.0" ]	null	null	null	# trigger build import json import uuid import pytest from mock import MagicMock, patch from src import handler, db from src.models import User, MiniApp, TObject from src.constants import ROLE from werkzeug.exceptions import BadRequest @patch('src.db.push', side_effect=Exception) def test_execute_obj_post_exception(m...	31.155093	141	0.666691	1,762	13,459	4.729285	0.093644	0.037442	0.051482	0.043202	0.602184	0.529941	0.478219	0.436217	0.388576	0.343094	0.017786	0.197934	13,459	431	142	31.227378	0.754145	0.000966	0.434667	0	0.002667	0.136641	0.04039	0	0	0	0.125333	1	0.085333	false	0	0.021333	0.008	0.117333	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
29f8d1a4f8b0cea46b5286a6c9367ca7d6ae25dc	579	py	Python	ersilia/utils/identifiers/long.py	ersilia-os/ersilia	eded117d6c7029ce4a497effdb514c21edfe3673	[ "MIT" ]	32	2020-07-30T20:31:05.000Z	2022-03-31T17:27:14.000Z	ersilia/utils/identifiers/long.py	ersilia-os/ersilia	eded117d6c7029ce4a497effdb514c21edfe3673	[ "MIT" ]	59	2022-03-21T10:00:04.000Z	2022-03-31T23:03:14.000Z	ersilia/utils/identifiers/long.py	ersilia-os/ersilia	eded117d6c7029ce4a497effdb514c21edfe3673	[ "MIT" ]	44	2022-03-17T13:11:07.000Z	2022-03-31T19:44:16.000Z	try: import uuid except ModuleNotFoundError as err: uuid = None ALPHABET = "ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890" PATTERN = [8, 4, 4, 4, 12] SEP = "-" class LongIdentifier(object): def __init__(self): super().__init__() @staticmethod def encode(): """Get UUID code (long identifie...	23.16	75	0.56304	62	579	5.112903	0.693548	0.07571	0	0	0	0	0	0	0	0	0.0425	0.309154	579	24	76	24.125	0.75	0.053541	0	0	0	0.070111	0.066421	0	0	0	0	1	0.105263	false	0	0.052632	0	0.315789	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
29f8e7164c007819cd3fd8ace5f9b2b1776fa29b	19,622	py	Python	client/buck_project_builder/tests/builder_test.py	aspin/pyre-check	fe78b41789ba3ef091b0b021d9a1c6267905a7f8	[ "MIT" ]	null	null	null	client/buck_project_builder/tests/builder_test.py	aspin/pyre-check	fe78b41789ba3ef091b0b021d9a1c6267905a7f8	[ "MIT" ]	null	null	null	client/buck_project_builder/tests/builder_test.py	aspin/pyre-check	fe78b41789ba3ef091b0b021d9a1c6267905a7f8	[ "MIT" ]	null	null	null	# Copyright (c) 2019-present, Facebook, Inc. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import glob import unittest from typing import List, Optional from unittest.mock import MagicMock, patch from .. import BuilderException, FastBuckB...	37.590038	88	0.505045	1,770	19,622	5.358192	0.075706	0.050295	0.048714	0.066428	0.767609	0.737453	0.702657	0.6686	0.620413	0.569907	0.014753	0.350576	19,622	521	89	37.662188	0.729499	0.030017	0.509479	0	0	0.183618	0.052064	0	0	0	0.116114	1	0.030806	false	0	0.018957	0	0.052133	0	0	0	null	0	0	1	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	2
29f94d2b334b89e0c508fee4d9e22209246bc128	5,970	py	Python	api/user.py	gfoo/fastapi-demo	44ceb9e94fa833841756136c3b446f192a311dde	[ "Unlicense" ]	null	null	null	api/user.py	gfoo/fastapi-demo	44ceb9e94fa833841756136c3b446f192a311dde	[ "Unlicense" ]	null	null	null	api/user.py	gfoo/fastapi-demo	44ceb9e94fa833841756136c3b446f192a311dde	[ "Unlicense" ]	null	null	null	from time import time from typing import List from core.security import verify_password from db import users as DBUsers from fastapi import APIRouter, Depends, HTTPException, status from fastapi.responses import JSONResponse from models.user import DBUser from schemas.user import (UserCreate, UserUpdateActivate, UserU...	36.402439	109	0.701675	786	5,970	5.043257	0.132316	0.05449	0.030272	0.036327	0.658426	0.640767	0.614026	0.591322	0.566095	0.566095	0.007781	0.203518	5,970	163	110	36.625767	0.825868	0.064322	0.486486	0	0	0.070092	0.004587	0	0	0	0	1	0.081081	false	0.153153	0.09009	0	0.261261	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	1
29f9eab4a69842a784121a1073e07bcadc752ced	3,265	py	Python	Realsense2CV.py	felix2072/pytorch-CycleGAN-and-pix2pix	4980106ceab5e1eb7bb20c2b492d007b6310d9e1	[ "BSD-3-Clause" ]	null	null	null	Realsense2CV.py	felix2072/pytorch-CycleGAN-and-pix2pix	4980106ceab5e1eb7bb20c2b492d007b6310d9e1	[ "BSD-3-Clause" ]	null	null	null	Realsense2CV.py	felix2072/pytorch-CycleGAN-and-pix2pix	4980106ceab5e1eb7bb20c2b492d007b6310d9e1	[ "BSD-3-Clause" ]	null	null	null	## License: Apache 2.0. See LICENSE file in root directory. ## Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved. ############################################### ## Open CV and Numpy integration ## ############################################### import pyrealsense2 as rs import numpy a...	34.368421	109	0.644717	440	3,265	4.625	0.397727	0.044226	0.025061	0.029484	0.043243	0.030467	0	0	0	0	0.049921	0.226953	3,265	94	110	34.734043	0.756339	0.280551	0	0	0	0.020609	0	0	0	0	0	1	0.018868	false	0	0.056604	0	0.09434	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
29faa4ea69ec98280ad24b2003914856eee015a8	12,800	py	Python	governor/postgresql.py	billcap/governor	0056ec15d973d24f36688783b415fe894ca94db7	[ "MIT" ]	null	null	null	governor/postgresql.py	billcap/governor	0056ec15d973d24f36688783b415fe894ca94db7	[ "MIT" ]	null	null	null	governor/postgresql.py	billcap/governor	0056ec15d973d24f36688783b415fe894ca94db7	[ "MIT" ]	null	null	null	import logging import os import psycopg2 import time import shlex import subprocess import shutil import threading from urllib.parse import urlparse logger = logging.getLogger(__name__) class Postgresql: CONN_OPTIONS = { 'connect_timeout': 3, 'options': '-c statement_timeout=2000', } ...	33.952255	114	0.563984	1,485	12,800	4.701684	0.186532	0.03151	0.01733	0.006875	0.171584	0.097393	0.070753	0.041249	0.041249	0.03065	0.007933	0.320469	12,800	376	115	34.042553	0.79478	0.008828	0.168285	0	0	0.126962	0.020503	0	0	0	0	1	0.126214	false	0.061489	0.029126	0.016181	0.288026	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	1
29fbb43e9c43f01cd5a84414b7fa4416473edd33	566	py	Python	main.py	Benrflanders/Genetic-Algorithm-Function-Solver	7234aed5478d0701f0f8ce342116ac154aa40ba1	[ "MIT" ]	null	null	null	main.py	Benrflanders/Genetic-Algorithm-Function-Solver	7234aed5478d0701f0f8ce342116ac154aa40ba1	[ "MIT" ]	null	null	null	main.py	Benrflanders/Genetic-Algorithm-Function-Solver	7234aed5478d0701f0f8ce342116ac154aa40ba1	[ "MIT" ]	null	null	null	import genetic_algorithm #where the population will be processed and the main loop is contained #initialise population with random candidate solutions print("Enter a function to be solved: \n") fitness_function = [1780, 17, -2] #n = ax + by #function: [n, a, b] ga = genetic_algorithm.genetic_algorithm(fitness_func...	21.769231	70	0.780919	79	566	5.531646	0.734177	0.10984	0	0	0	0	0	0	0	0	0.014553	0.150177	566	25	71	22.64	0.893971	0.65371	0	0	0	0.180328	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0.25	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
29fda9d9b2256b8b4efc118aa8ea61e7cbc1a09c	264	py	Python	thirdparty/flask/template/macro_demo.py	gwaysoft/python	a74a0b553dfca9606083a41ab6d03801e67d2467	[ "Apache-2.0" ]	null	null	null	thirdparty/flask/template/macro_demo.py	gwaysoft/python	a74a0b553dfca9606083a41ab6d03801e67d2467	[ "Apache-2.0" ]	null	null	null	thirdparty/flask/template/macro_demo.py	gwaysoft/python	a74a0b553dfca9606083a41ab6d03801e67d2467	[ "Apache-2.0" ]	null	null	null	from flask import Flask, render_template app = Flask(__name__) @app.route("/") def index(): return render_template("macro.html", type="text", value="from endpoint") if __name__ == '__main__': print(app.url_map) app.run(debug=True, host="0.0.0.0")	18.857143	76	0.674242	39	264	4.179487	0.692308	0.03681	0.03681	0	0	0	0	0	0	0	0.017857	0.151515	264	13	77	20.307692	0.709821	0	0	0	0	0.162879	0	0	0	0	0	1	0.125	false	0	0.125	0.125	0.375	0.125	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	1
29fdda258cbe5d54b3217108b57775e883bf274f	549	py	Python	fishpass/migrations/0004_auto_20180925_1825.py	Ecotrust/FishPass	a69a4f9de46f28653ae92ef33c1e5cf7036cfb37	[ "MIT" ]	3	2019-03-01T04:00:21.000Z	2022-02-10T22:17:20.000Z	fishpass/migrations/0004_auto_20180925_1825.py	Ecotrust/FishPass	a69a4f9de46f28653ae92ef33c1e5cf7036cfb37	[ "MIT" ]	165	2018-04-13T18:24:39.000Z	2022-03-02T03:27:33.000Z	fishpass/migrations/0004_auto_20180925_1825.py	Ecotrust/FishPass	a69a4f9de46f28653ae92ef33c1e5cf7036cfb37	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # Generated by Django 1.11.15 on 2018-09-26 01:25 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('fishpass', '0003_auto_20180925_1825'), ] operatio...	24.954545	106	0.657559	63	549	5.555556	0.714286	0.068571	0.08	0.125714	0	0	0	0	0	0	0.079812	0.224044	549	21	107	26.142857	0.741784	0.125683	0	1	0	0.142558	0.048218	0	0	0	0	1	0	false	0.142857	0.214286	0	0.428571	0	0	0	null	0	0	0	0	0	0	0	0	0	1	null	0	0	0	0	1	0	0	0	0	0	2
29fded4c87d470f4257846244ccbee2b48588393	8,956	py	Python	backend/account/migrations/0001_initial.py	CS178A-B/final-project-bjls	aebb8042f2d958caac00e31b27b445b9079901d0	[ "MIT" ]	null	null	null	backend/account/migrations/0001_initial.py	CS178A-B/final-project-bjls	aebb8042f2d958caac00e31b27b445b9079901d0	[ "MIT" ]	20	2020-10-21T19:16:15.000Z	2021-09-03T05:48:20.000Z	backend/account/migrations/0001_initial.py	CS178A-B/R-Finder	aebb8042f2d958caac00e31b27b445b9079901d0	[ "MIT" ]	1	2020-10-22T04:49:45.000Z	2020-10-22T04:49:45.000Z	# Generated by Django 2.2.13 on 2021-03-10 21:33 import account.models import datetime from django.conf import settings import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migr...	50.03352	329	0.61054	924	8,956	5.786797	0.214286	0.049373	0.035908	0.061717	0.602581	0.580886	0.500655	0.441743	0.421545	0.404526	0.013874	0.251563	8,956	178	330	50.314607	0.783828	0.005136	0.490566	1	0	0.186932	0.007971	0	0	0	0	1	0	false	0.006289	0.050314	0	0.075472	0	0	0	null	0	0	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	1
29ffd5d34e2555908d5acb7cecdc5aad3a6e87bc	1,983	py	Python	src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py	aivaras-ciurlionis/meteo	434759d16f7cca505d280475611d1fef5176827b	[ "MIT" ]	null	null	null	src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py	aivaras-ciurlionis/meteo	434759d16f7cca505d280475611d1fef5176827b	[ "MIT" ]	6	2020-05-23T11:30:48.000Z	2022-03-11T23:45:06.000Z	src/predictionAlgorithms/machineLearning/training/convolutionalLstm.py	aivaras-ciurlionis/meteo	434759d16f7cca505d280475611d1fef5176827b	[ "MIT" ]	null	null	null	import tensorflow from PIL import Image from keras.models import Sequential from keras.layers import Conv2D, Conv2DTranspose, ConvLSTM2D from keras.optimizers import SGD import numpy as np import os from keras import backend as K from src.predictionAlgorithms.machineLearning.algorithms.ConvLSTM import ConvLstm from sr...	34.189655	104	0.611699	192	1,983	6.197917	0.479167	0.030252	0.068067	0.105882	0.087395	0	0	0	0	0	0.027536	0.304085	1,983	58	105	34.189655	0.834783	0.020171	0.156863	0	0	0.030381	0	0	0	0	0	1	0.019608	false	0	0.235294	0	0.27451	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b00cec2aa25b2e4c87f0a86c86662d5e0d2edb1	1,927	py	Python	batchtest.py	nachewigkeit/CropDefender	e78fc48f720367ca94033f6263eb1e4a9c6b7858	[ "MIT" ]	2	2021-10-14T08:14:15.000Z	2021-12-01T05:57:49.000Z	batchtest.py	nachewigkeit/CropDefender	e78fc48f720367ca94033f6263eb1e4a9c6b7858	[ "MIT" ]	null	null	null	batchtest.py	nachewigkeit/CropDefender	e78fc48f720367ca94033f6263eb1e4a9c6b7858	[ "MIT" ]	1	2021-12-01T05:57:53.000Z	2021-12-01T05:57:53.000Z	import bchlib from PIL import Image, ImageOps import numpy as np import glob from tqdm import tqdm import torch import matplotlib.pyplot as plt from model import StegaStampDecoder BCH_POLYNOMIAL = 137 BCH_BITS = 5 def get_bits(secret="MITPBL"): # 输入字符串，输出BCH码 bch = bchlib.BCH(BCH_POLYNOMIAL, BCH_BITS) da...	24.705128	79	0.63259	261	1,927	4.544061	0.448276	0.040472	0.026981	0.035413	0.040472	0	0	0	0	0	0.028513	0.235599	1,927	77	80	25.025974	0.776646	0.043072	0.036364	0	0	0.044589	0.027189	0	0	0	0	1	0.072727	false	0	0.145455	0	0.290909	0.018182	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b065798f8f3175be2995f3dc86fae9e7dc987b7	1,249	py	Python	tests/ozpcenter_model_access/test_contact_type.py	emosher/ozp-backend	d31d00bb8a28a8d0c999813f616b398f41516244	[ "Apache-2.0" ]	1	2018-10-05T17:03:01.000Z	2018-10-05T17:03:01.000Z	tests/ozpcenter_model_access/test_contact_type.py	emosher/ozp-backend	d31d00bb8a28a8d0c999813f616b398f41516244	[ "Apache-2.0" ]	1	2017-01-06T19:20:32.000Z	2017-01-06T19:20:32.000Z	tests/ozpcenter_model_access/test_contact_type.py	emosher/ozp-backend	d31d00bb8a28a8d0c999813f616b398f41516244	[ "Apache-2.0" ]	7	2016-12-16T15:42:05.000Z	2020-09-05T01:11:27.000Z	import pytest from django.test import TestCase from django.test import override_settings import ozpcenter.api.contact_type.model_access as model_access from ozpcenter.models import ContactType from tests.cases.factories import ContactTypeFactory @pytest.mark.model_access @override_settings(ES_ENABLED=False) class Co...	30.463415	83	0.767814	164	1,249	5.457317	0.365854	0.110615	0.093855	0.107263	0.236872	0.236872	0.236872	0.172067	0.172067	0	0.001905	0.159327	1,249	40	84	31.225	0.850476	0	0	0	0	0.020817	0	0	0	0	0.148148	1	0.222222	false	0.037037	0.222222	0	0.481481	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	1
4b070ef3534dcec1b94204596a275dcc71c8d799	428	py	Python	examples/echobot.py	samedamci/telegrask	8cd0d7663e3a7386784396462f66c176bc6543c5	[ "0BSD" ]	4	2021-08-19T19:17:17.000Z	2021-10-12T19:25:59.000Z	examples/echobot.py	samedamci/telegrask	8cd0d7663e3a7386784396462f66c176bc6543c5	[ "0BSD" ]	null	null	null	examples/echobot.py	samedamci/telegrask	8cd0d7663e3a7386784396462f66c176bc6543c5	[ "0BSD" ]	1	2021-08-31T10:49:34.000Z	2021-08-31T10:49:34.000Z	#!/usr/bin/python3 """Simple bot to reply exactly the same what user sent to chat.""" # This program is dedicated to the public domain under the CC0 license. from telegrask import Telegrask bot = Telegrask("BOT_TOKEN") @bot.command("echo", help="repeat user words", allow_without_prefix=True) def echo(update, contex...	25.176471	73	0.740654	64	428	4.765625	0.71875	0.078689	0	0	0	0	0	0	0	0	0.00545	0.142523	428	16	74	26.75	0.825613	0.345794	0	0	0	0.139194	0	0	0	0	0	1	0.142857	false	0	0.142857	0	0.285714	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b07a5e3542e7f446d97c19101d6130c567a06f9	2,238	py	Python	lib/emailsmtp/models.py	hdknr/emailqueue	05e108562f4fb612440f769973b9a3d02c11afcd	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	lib/emailsmtp/models.py	hdknr/emailqueue	05e108562f4fb612440f769973b9a3d02c11afcd	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	lib/emailsmtp/models.py	hdknr/emailqueue	05e108562f4fb612440f769973b9a3d02c11afcd	[ "BSD-2-Clause-FreeBSD" ]	null	null	null	from django.db import models from django.utils.translation import ugettext_lazy as _ from emailqueue.models import BaseModel class Domain(BaseModel): '''Domain: - used for :ref:`postfix.relay_domains`, :ref:`postfix.transport_maps` ''' domain = models.CharField( _('Domain'), max_length=50, u...	29.84	76	0.636282	266	2,238	5.101504	0.300752	0.040531	0.017686	0.025055	0.149595	0.117907	0.117907	0.072218	0.072218	0.072218	0.009971	0.238159	2,238	74	77	30.243243	0.785924	0.058088	0.12766	0	0	0.069657	0	0	0	0	0	1	0.085106	false	0	0.06383	0.042553	0.468085	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b096109d1a756991d2981702ec6615bda617d75	3,314	py	Python	emoji-list.unicode.crawler.py	SHITianhao/emoji-dataset	41812649f518f69472722c56d4aa77faeb9bbe8a	[ "MIT" ]	2	2017-12-19T06:44:59.000Z	2020-01-17T20:06:53.000Z	emoji-list.unicode.crawler.py	SHITianhao/emoji-dataset	41812649f518f69472722c56d4aa77faeb9bbe8a	[ "MIT" ]	null	null	null	emoji-list.unicode.crawler.py	SHITianhao/emoji-dataset	41812649f518f69472722c56d4aa77faeb9bbe8a	[ "MIT" ]	null	null	null	#!/usr/bin/env python # -- coding: utf-8 -- """This module is used to crawler emoji unicode from http://www.unicode.org/ """ import urllib import json import base64 import os from bs4 import BeautifulSoup __EMOJI_V4_URL = "http://www.unicode.org/emoji/charts/emoji-list.html" __EMOJI_V5_URL = "http://www.unicode.org/...	28.568966	84	0.60169	436	3,314	4.284404	0.302752	0.010707	0.022484	0.027302	0.033191	0.033191	0.033191	0	0	0	0.017348	0.269463	3,314	115	85	28.817391	0.754234	0.032589	0.022989	0	0	0.122189	0	0	0	0	0	0	null	null	0	0.057471	null	null	0.068966	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	1
4b0bae7ae91cfcfff2eabb361271fc8c258445e7	1,628	py	Python	venv/Lib/site-packages/traits/tests/test_constant.py	richung99/digitizePlots	6b408c820660a415a289726e3223e8f558d3e18b	[ "MIT" ]	1	2022-01-18T17:56:51.000Z	2022-01-18T17:56:51.000Z	venv/Lib/site-packages/traits/tests/test_constant.py	richung99/digitizePlots	6b408c820660a415a289726e3223e8f558d3e18b	[ "MIT" ]	null	null	null	venv/Lib/site-packages/traits/tests/test_constant.py	richung99/digitizePlots	6b408c820660a415a289726e3223e8f558d3e18b	[ "MIT" ]	null	null	null	# (C) Copyright 2005-2021 Enthought, Inc., Austin, TX # All rights reserved. # # This software is provided without warranty under the terms of the BSD # license included in LICENSE.txt and may be redistributed only under # the conditions described in the aforementioned license. The license # is also available online at...	29.6	71	0.625307	232	1,628	4.241379	0.362069	0.060976	0.042683	0.109756	0.429878	0.367886	0.367886	0.367886	0.262195	0.262195	0.044371	0.252457	1,628	54	72	30.148148	0.764174	0.238329	0.466667	0	0	0.00813	0	0	0	0	0.233333	1	0.133333	false	0	0.066667	0	0.366667	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b0c74252519e1d0763eeba5100d8c404e0ec79d	5,072	py	Python	midap_simulator/packet_manager.py	cap-lab/MidapSim	4f92a9f9413c29d7e1f37e863cce90ebdde8b420	[ "MIT" ]	2	2021-03-28T16:19:06.000Z	2022-02-26T08:58:33.000Z	midap_simulator/packet_manager.py	cap-lab/MidapSim	4f92a9f9413c29d7e1f37e863cce90ebdde8b420	[ "MIT" ]	null	null	null	midap_simulator/packet_manager.py	cap-lab/MidapSim	4f92a9f9413c29d7e1f37e863cce90ebdde8b420	[ "MIT" ]	1	2021-02-22T08:44:20.000Z	2021-02-22T08:44:20.000Z	import mmap import numpy as np from time import sleep import os class PacketManager(object): buf_size = 0x1000 packet_size = 2072 #typedef struct _Packet{ # PacketType type; # uint32_t size; # uint64_t cycle; # uint32_t address; # uint8_t data[8]; # uint32_t flags; ...	33.813333	134	0.589708	634	5,072	4.580442	0.20347	0.034091	0.049242	0.052686	0.386364	0.32989	0.290634	0.278926	0.211777	0.198003	0.028841	0.268533	5,072	149	135	34.040268	0.753908	0.144322	0.225806	0	0	0.038666	0	0	0.002084	0	0	1	0.11828	false	0	0.043011	0	0.27957	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b0d7a34a5dad916ea34157afa0ac2b56a26899d	119	py	Python	optimizers/__init__.py	Leo-xxx/NeuronBlocks	4ddbdc625ccec15337df3cbf85e73ed25a117989	[ "MIT" ]	1,257	2019-05-06T21:25:16.000Z	2022-03-19T11:06:49.000Z	optimizers/__init__.py	heavenAsk/NeuronBlocks	9b08bb8ac7ceca874c8f2541d610bc8d3278fb22	[ "MIT" ]	37	2019-05-07T00:16:13.000Z	2021-12-31T11:55:44.000Z	optimizers/__init__.py	heavenAsk/NeuronBlocks	9b08bb8ac7ceca874c8f2541d610bc8d3278fb22	[ "MIT" ]	186	2019-05-07T00:36:40.000Z	2022-02-28T20:47:19.000Z	# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT license. from torch.optim import *	39.666667	59	0.781513	16	119	5.8125	1	0	0	0	0	0	0	0	0	0	0	0.142857	119	3	60	39.666667	0.911765	0.747899	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	null	0	0	0	0	0	0	0	1	0	0	null	0	0	0	1	0	1	0	1	0	0	5
4b0eec937bcf7b4132e9bab483c930a0a86d89bc	3,824	py	Python	amurlevel_model/model/train_test_split.py	RaevskyDN/aij2020-amur-noflood-public	d11349b1f8cc79c18bb078392731eac32b3c56ff	[ "Apache-2.0" ]	7	2021-02-17T18:55:13.000Z	2021-07-30T13:56:19.000Z	amurlevel_model/model/train_test_split.py	RaevskyDN/aij2020-amur-noflood-public	d11349b1f8cc79c18bb078392731eac32b3c56ff	[ "Apache-2.0" ]	null	null	null	amurlevel_model/model/train_test_split.py	RaevskyDN/aij2020-amur-noflood-public	d11349b1f8cc79c18bb078392731eac32b3c56ff	[ "Apache-2.0" ]	1	2022-01-23T15:11:43.000Z	2022-01-23T15:11:43.000Z	# -- coding: utf-8 -- import pandas as pd import numpy as np from datetime import date from typing import Union,Tuple,Optional,List from ..config_features import CATEGORICAL_FEATURES,NUMERICAL_FEATURES from ..config import DAYS_FORECAST,ALL_STATIONS from ..utils.normalizer import get_normalizer_stats def train_tes...	41.565217	117	0.636245	494	3,824	4.702429	0.244939	0.077486	0.068876	0.041326	0.355144	0.260439	0.191563	0.176496	0.104176	0.104176	0.008872	0.263075	3,824	92	118	41.565217	0.815472	0.250523	0.216667	0	0	0.014332	0	0	0	0	0	1	0.016667	false	0	0.116667	0	0.15	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b11b0281ea28ca55d21c7ab676dce9fefb150be	35	py	Python	bin/preprocessor/__init__.py	ian0549/AI-Audio-Task	6918fc4e7fd337c5649c47925ad5b8d999fda0e1	[ "MIT" ]	null	null	null	bin/preprocessor/__init__.py	ian0549/AI-Audio-Task	6918fc4e7fd337c5649c47925ad5b8d999fda0e1	[ "MIT" ]	null	null	null	bin/preprocessor/__init__.py	ian0549/AI-Audio-Task	6918fc4e7fd337c5649c47925ad5b8d999fda0e1	[ "MIT" ]	null	null	null	from .Preprocessor import Pipeline	17.5	34	0.857143	4	35	7.5	1	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	0	1	0	true	0	1	0	1	0	1	1	null	0	0	0	0	0	0	0	1	0	0	null	0	0	0	1	0	1	0	1	0	0	6
4b136b651e1325beb870ea9f5a79512ec242273e	80,229	py	Python	common/ui.py	Regnareb/StreamManager	8b95e785d41c78f03725077f5dce2a5c15e0354f	[ "MIT" ]	null	null	null	common/ui.py	Regnareb/StreamManager	8b95e785d41c78f03725077f5dce2a5c15e0354f	[ "MIT" ]	null	null	null	common/ui.py	Regnareb/StreamManager	8b95e785d41c78f03725077f5dce2a5c15e0354f	[ "MIT" ]	null	null	null	import os import sys import copy import ctypes import socket import logging import threading import functools import webbrowser logger = logging.getLogger(__name__) import keyboard from PySide2 import QtCore, QtWidgets, QtGui, QtWebEngineWidgets # TODO # Be able to import a text file in the description/title as variab...	50.874445	398	0.672114	8,503	80,229	6.232389	0.122192	0.037023	0.042344	0.011492	0.401857	0.271087	0.194192	0.1366	0.09569	0.075971	0.005079	0.19751	80,229	1,576	399	50.906726	0.81798	0.022785	0.192082	0	0.007331	0.132297	0.008256	0	0	0.000635	0	1	0.08871	false	0.001466	0.014663	0.002199	0.13783	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b13fbf54481cade8e8734d48b08412beb1ed9cd	4,009	py	Python	tests/io/export/voc/test_create_annotation.py	wbknez/breakdb	f783820425c8cb70d8caedc6f5839a72de7c945e	[ "Apache-2.0" ]	1	2020-02-03T18:31:20.000Z	2020-02-03T18:31:20.000Z	tests/io/export/voc/test_create_annotation.py	wbknez/breakdb	f783820425c8cb70d8caedc6f5839a72de7c945e	[ "Apache-2.0" ]	null	null	null	tests/io/export/voc/test_create_annotation.py	wbknez/breakdb	f783820425c8cb70d8caedc6f5839a72de7c945e	[ "Apache-2.0" ]	null	null	null	""" Contains unit tests to ensure single database items are created correctly in a Pascal VOC compatible format. """ import os from xml.etree.ElementTree import Element, SubElement import numpy as np from breakdb.io.export.voc import create_annotation from tests.helpers.dataset import create_random_string from tests....	32.860656	78	0.626091	489	4,009	5.00818	0.214724	0.095549	0.049	0.0294	0.651695	0.619028	0.619028	0.619028	0.619028	0.619028	0.018629	0.250187	4,009	121	79	33.132231	0.796075	0.038663	0.642857	0	0	0.074393	0.013573	0	0	0	0	1	0.02381	false	0	0.071429	0	0.107143	0	0	0	null	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1
4b1766db2c0ad0a27e5899ec9658c4cad1b1b54e	8,242	py	Python	map.py	BenoitCorsini/world-flights	5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce	[ "MIT" ]	null	null	null	map.py	BenoitCorsini/world-flights	5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce	[ "MIT" ]	null	null	null	map.py	BenoitCorsini/world-flights	5e5ce6575a912cb6a71bf1caf6ef7c2d388044ce	[ "MIT" ]	null	null	null	import os import os.path as osp import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Circle, Polygon, Rectangle from config import PARAMS class WorldMap(object): def __init__(self, shapes=[], params=PARAMS): ''' The 'WorldMap' class is useful in constructing a 3D fig...	36.631111	111	0.473065	888	8,242	4.302928	0.228604	0.091599	0.043182	0.021984	0.326354	0.291808	0.217482	0.209369	0.1743	0.112013	0.019242	0.382067	8,242	225	112	36.631111	0.731003	0.219122	0.25	0	0	0.0815	0	0	0	0	0.013514	1	0.054054	false	0	0.040541	0	0.114865	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b17b051f3187df2daa4e97e42b6ba22e41b2320	322	py	Python	base/models/provider.py	musicmash/notify	0f1c72207979e812c6485238da32ca7f5b463859	[ "MIT" ]	null	null	null	base/models/provider.py	musicmash/notify	0f1c72207979e812c6485238da32ca7f5b463859	[ "MIT" ]	86	2020-07-13T11:14:24.000Z	2022-03-25T01:10:30.000Z	base/models/provider.py	musicmash/notify	0f1c72207979e812c6485238da32ca7f5b463859	[ "MIT" ]	null	null	null	from django.db import models from .base import BaseModel class Provider(BaseModel): name = models.CharField(max_length=50, primary_key=True) class Meta: db_table = "providers" verbose_name = "Provider" verbose_name_plural = "Providers" def __str__(self): return self.nam...	18.941176	60	0.673913	39	322	5.307692	0.666667	0.10628	0	0	0	0	0	0	0	0	0.00823	0.245342	322	16	61	20.125	0.843621	0	0	0	0	0.080745	0	0	0	0	0	1	0.1	false	0	0.2	0.1	0.7	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	1
4b188ae0e512d9c128c010ae409e8f80e9a5b8ee	6,753	py	Python	preprocess/weixin_prepare.py	xuyuandong/sequence_behavior_ctr_model	e1bb71b4579456b1c6fbf3b432a84a3cb52611b7	[ "MIT" ]	4	2020-01-08T13:39:59.000Z	2021-09-21T08:13:44.000Z	preprocess/weixin_prepare.py	xuyuandong/sequence_behavior_ctr_model	e1bb71b4579456b1c6fbf3b432a84a3cb52611b7	[ "MIT" ]	null	null	null	preprocess/weixin_prepare.py	xuyuandong/sequence_behavior_ctr_model	e1bb71b4579456b1c6fbf3b432a84a3cb52611b7	[ "MIT" ]	3	2020-01-09T02:45:14.000Z	2021-09-21T08:13:59.000Z	import random import numpy as np import cPickle as pkl Train_handle = open("./data/weixin_data/weixin_train.txt",'w') Test_handle = open("./data/weixin_data/weixin_test.txt",'w') Feature_handle = open("./data/weixin_data/weixin_feature.pkl",'w') max_len = 50 def produce_neg_item_hist_with_cate(train_file, test_file):...	37.726257	147	0.568192	931	6,753	3.77014	0.084855	0.159544	0.074074	0.031909	0.886325	0.886325	0.814245	0.796581	0.778348	0.778348	0.018411	0.28417	6,753	178	148	37.938202	0.707695	0.003998	0.807692	0	0	0.043	0.02574	0	0	0	0	1	0.012821	false	0	0.019231	0	0.038462	0	0	0	null	0	1	1	1	1	1	1	0	1	0	null	0	0	0	0	0	0	0	0	0	0	7
4b1897d255b0413c9d4325f9c12538b29485ce83	2,197	py	Python	chapter15/cache_aside/populate_db.py	JoeanAmiee/Mastering-Python-Design-Patterns-Second-Edition	89c55dcf5e1e0e730dde593b487050f360371932	[ "MIT" ]	278	2018-08-16T12:59:24.000Z	2022-03-21T08:21:11.000Z	chapter15/cache_aside/populate_db.py	50611/Mastering-Python-Design-Patterns-Second-Edition	6efc4a935f15d2aa6c840131f72fb8c53a493a93	[ "MIT" ]	4	2019-05-16T11:44:45.000Z	2022-02-04T07:24:47.000Z	chapter15/cache_aside/populate_db.py	50611/Mastering-Python-Design-Patterns-Second-Edition	6efc4a935f15d2aa6c840131f72fb8c53a493a93	[ "MIT" ]	166	2018-08-13T21:47:16.000Z	2022-03-18T12:20:31.000Z	import sys import sqlite3 import csv from random import randint from faker import Faker fake = Faker() def setup_db(): try: db = sqlite3.connect('data/quotes.sqlite3') # Get a cursor object cursor = db.cursor() cursor.execute(''' CREATE TABLE quotes(id INTEGER PRIMAR...	25.252874	86	0.522531	266	2,197	4.18797	0.319549	0.05386	0.045781	0.048474	0.437163	0.385996	0.369838	0.305206	0.305206	0.305206	0.014851	0.356395	2,197	86	87	25.546512	0.772984	0.025489	0.460317	0	0	0.192236	0.009822	0	0	0	0	1	0.047619	false	0	0.079365	0	0.142857	0.126984	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b1a17df754eb85c581497a16047422be041c22f	523	py	Python	amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py	Podshot/Amulet-Core	678a722daa5e4487d193a7e947ccceacac325fd2	[ "MIT" ]	null	null	null	amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py	Podshot/Amulet-Core	678a722daa5e4487d193a7e947ccceacac325fd2	[ "MIT" ]	null	null	null	amulet/world_interface/chunk/interfaces/leveldb/leveldb_13/leveldb_13_interface.py	Podshot/Amulet-Core	678a722daa5e4487d193a7e947ccceacac325fd2	[ "MIT" ]	null	null	null	from __future__ import annotations from amulet.world_interface.chunk.interfaces.leveldb.leveldb_12.leveldb_12_interface import ( LevelDB12Interface, ) class LevelDB13Interface(LevelDB12Interface): def __init__(self): LevelDB12Interface.__init__(self) self.features["chunk_version"] = 13 ...	21.791667	93	0.6826	54	523	6.259259	0.555556	0.053254	0	0	0	0	0	0	0	0	0.050251	0.239006	523	23	94	22.73913	0.798995	0	0.125	0	0	0.038241	0	0	0	0	0	1	0.125	false	0	0.125	0	0.5	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b1b507d5e7bd884f752c61b8ba7c52263c2268a	921	py	Python	oarepo_model_builder/builders/jsonschema_builder.py	mesemus/oarepo-model-builder	3dd9cc3db887c67f7b58281faae65c8162b0651e	[ "MIT" ]	null	null	null	oarepo_model_builder/builders/jsonschema_builder.py	mesemus/oarepo-model-builder	3dd9cc3db887c67f7b58281faae65c8162b0651e	[ "MIT" ]	null	null	null	oarepo_model_builder/builders/jsonschema_builder.py	mesemus/oarepo-model-builder	3dd9cc3db887c67f7b58281faae65c8162b0651e	[ "MIT" ]	null	null	null	from oarepo_model_builder.builders.json import JSONBuilder from oarepo_model_builder.output import JsonSchemaOutput class JSONSchemaBuilder(JSONBuilder): """Handles building of jsonschema from a data model specification.""" def __init__(self): super().__init__() self.output = None def pre...	32.892857	73	0.587405	100	921	5.26	0.48	0.060837	0.057034	0.08365	0.087452	0	0	0	0	0	0.003115	0.302932	921	27	74	34.111111	0.816199	0.068404	0.090909	0	0	0.024648	0	0	0	0	0	1	0.136364	false	0	0.090909	0	0.272727	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b1d49f6efb27ace41851af3af43454783b205c7	399	py	Python	solutions/level0_tasks.py	sksuzuki/How-to-Learn-to-Code	347943dbd2a3d176f3459c2e9f18cba1bdf78597	[ "MIT" ]	null	null	null	solutions/level0_tasks.py	sksuzuki/How-to-Learn-to-Code	347943dbd2a3d176f3459c2e9f18cba1bdf78597	[ "MIT" ]	3	2019-06-06T21:11:41.000Z	2019-06-06T21:12:37.000Z	solutions/level0_tasks.py	sksuzuki/How-to-Learn-to-Code	347943dbd2a3d176f3459c2e9f18cba1bdf78597	[ "MIT" ]	null	null	null	import numpy as np def square(x): """Square a number""" return x ** 2 def volume_converter(volume, unit): """Convert certain SI volumes to mLs""" conversions = {'mL': 1E-3, 'uL': 1E-6, 'nL': 1E-9, 'kL': 1E3} return round(volume * conversions[unit], 10) def squared_sum(in_list): """Finds the s...	26.6	65	0.629073	65	399	3.8	0.646154	0.048583	0	0	0	0	0	0	0	0	0.037855	0.205514	399	14	66	28.5	0.741325	0.240602	0	0	0	0.027875	0	0	0	0	0	1	0.375	false	0	0.125	0	0.875	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	0	0	1	0	0	2
4b1e6350105907d7f3eb0e342a99233ff398a655	10,305	py	Python	benchmark/automated_agents_selenium/exatag_labels_agent.py	MedTAG/medtag-core	f2dae7b38230179d71babede7e4910631d91053f	[ "MIT" ]	6	2021-12-20T12:15:17.000Z	2022-02-02T15:28:42.000Z	benchmark/automated_agents_selenium/exatag_labels_agent.py	MedTAG/medtag-core	f2dae7b38230179d71babede7e4910631d91053f	[ "MIT" ]	1	2022-03-07T14:57:44.000Z	2022-03-11T18:11:55.000Z	benchmark/automated_agents_selenium/exatag_labels_agent.py	MedTAG/medtag-core	f2dae7b38230179d71babede7e4910631d91053f	[ "MIT" ]	2	2021-05-29T09:44:38.000Z	2021-12-28T03:53:40.000Z	from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC import psycopg2 import time import statistics from selenium.webdriver.support.select import Select import json def wait_unt...	35.78125	147	0.450849	1,004	10,305	4.473108	0.209163	0.026497	0.034068	0.038076	0.483411	0.433311	0.397016	0.348252	0.332665	0.313516	0.020876	0.432897	10,305	287	148	35.905923	0.747604	0.267055	0.294479	0	0	0.092093	0.05437	0	0	0	0	1	0.018405	false	0.01227	0.055215	0	0.110429	0.067485	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b1ec72cd59cc0bdeabf8053a9474d679e3c099c	963	py	Python	src/main/tools/dbpy/FotechUtils/dbUtils.py	inqwell/inq	31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3	[ "BSD-3-Clause" ]	1	2016-09-25T16:41:57.000Z	2016-09-25T16:41:57.000Z	src/main/tools/dbpy/FotechUtils/dbUtils.py	inqwell/inq	31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3	[ "BSD-3-Clause" ]	null	null	null	src/main/tools/dbpy/FotechUtils/dbUtils.py	inqwell/inq	31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3	[ "BSD-3-Clause" ]	2	2016-09-25T16:48:49.000Z	2020-05-26T20:00:33.000Z	# # $Header: /home/inqwell/cvsroot/dev/scripts/python/FotechUtils/dbUtils.py,v 1.1 2009/05/22 22:16:32 sanderst Exp $ # import KBC.fotech from Util import db from dbConfig import configurationProvider def getConnection( confile, system, level, access = "read", site = None, user = None, pwdfile = None ): """ ...	45.857143	129	0.726895	133	963	5.255639	0.646617	0.04721	0.048641	0	0	0	0	0	0	0	0.022901	0.183801	963	20	130	48.15	0.866412	0.480789	0	0	0	0.008658	0	0	0	0	0	1	0.142857	false	0.285714	0.428571	0	0.714286	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	1	0	0	3
4b1ec74bf2a93ae529c6f9b679c345029b8413cf	1,517	py	Python	randgenuntil.py	i-can-not-program/randgenuntil	cec853bc0c0a6589d60e1c6e3064e273e6278e0f	[ "Unlicense" ]	1	2021-09-09T12:03:57.000Z	2021-09-09T12:03:57.000Z	randgenuntil.py	i-can-not-program/randgenuntil	cec853bc0c0a6589d60e1c6e3064e273e6278e0f	[ "Unlicense" ]	null	null	null	randgenuntil.py	i-can-not-program/randgenuntil	cec853bc0c0a6589d60e1c6e3064e273e6278e0f	[ "Unlicense" ]	null	null	null	#!/usr/bin/env python3 import random import argparse import sys def error(message): print(message) sys.exit(1) parser = argparse.ArgumentParser() parser.add_argument("number", help="Generate a random numbers until they are equal to this.", type=int) parser.add_argument("-s", "--start", t...	35.27907	111	0.652604	225	1,517	4.333333	0.36	0.050256	0.087179	0.028718	0.082051	0.082051	0.082051	0.082051	0.082051	0.082051	0.014143	0.207647	1,517	42	112	36.119048	0.797005	0.013843	0	0	0	0.344043	0	0	0	0	0	1	0.028571	false	0	0.085714	0	0.114286	0.114286	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b1fa47c925f46978fe64a19c7b80b111b447a75	2,798	py	Python	gopredict/modelo.py	ajalba/gopredict	bfcb1c4c10b6787da10c7515ae2adf65252bb8c6	[ "MIT" ]	null	null	null	gopredict/modelo.py	ajalba/gopredict	bfcb1c4c10b6787da10c7515ae2adf65252bb8c6	[ "MIT" ]	39	2021-10-31T16:51:39.000Z	2021-11-22T09:56:04.000Z	gopredict/modelo.py	ajalba/gopredict	bfcb1c4c10b6787da10c7515ae2adf65252bb8c6	[ "MIT" ]	null	null	null	""" Clase para representar a los diferentes modelos y su comportamiento atributos(de momento) df=dataframe de entrenamiento proviniente del conjunto de datos de entrenamiento del usuario x_train,x_test,y_train,y_test, particiones de df para entrenar el modelo El resto de métodos son autoexplicativos """ from numpy ...	36.337662	92	0.686919	387	2,798	4.764858	0.29199	0.05423	0.043926	0.035249	0.132321	0.103037	0.093275	0.043384	0.043384	0.043384	0.002824	0.240529	2,798	76	93	36.815789	0.864941	0.225161	0.240741	0	0	0.012535	0	0	0	0.013158	0	1	0.148148	false	0	0.111111	0.018519	0.462963	0.018519	0	0	null	0	0	0	0	0	0	0	0	0	0	null	1	0	0	0	0	0	0	0	0	0	1
4b21181e3a74fe5a1a2c9a5d58470698abe2c63a	10,698	py	Python	python/cvi_toolkit/numpy_helper/tensor_compare.py	sophgo/tpu_compiler	6299ea0a3adae1e5c206bcb9bedf225d16e636db	[ "Apache-2.0" ]	3	2022-03-14T11:47:20.000Z	2022-03-16T01:45:37.000Z	python/cvi_toolkit/numpy_helper/tensor_compare.py	sophgo/tpu_compiler	6299ea0a3adae1e5c206bcb9bedf225d16e636db	[ "Apache-2.0" ]	null	null	null	python/cvi_toolkit/numpy_helper/tensor_compare.py	sophgo/tpu_compiler	6299ea0a3adae1e5c206bcb9bedf225d16e636db	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/env python3 import numpy as np import sys import struct # from math import fabs from enum import IntEnum from scipy import spatial from math import * from collections import OrderedDict def second(elem): return elem[1] def get_topk(a, k): k = min(a.size, k) idx = np.argpartition(-a.ravel(), k - 1)[:...	37.405594	102	0.623294	1,451	10,698	4.43694	0.146795	0.021746	0.037589	0.015843	0.17785	0.093507	0.068034	0.031998	0.023299	0.015843	0.027869	0.235278	10,698	285	103	37.536842	0.759076	0.051598	0.055319	0	0	0.084625	0.002172	0	0	0	0.012766	1	0.068085	false	0.029787	0.029787	0.012766	0.204255	0.119149	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b239e38be546f3cf138ae920d55ac95f83dd8aa	4,508	py	Python	src/cleaners.py	RellikDog/dota2-win-predictor-v2	2751093d988830296ab0408a820e52bd7fd963b0	[ "MIT" ]	1	2020-06-12T00:27:45.000Z	2020-06-12T00:27:45.000Z	src/cleaners.py	RellikDog/dota2-win-predictor-v2	2751093d988830296ab0408a820e52bd7fd963b0	[ "MIT" ]	null	null	null	src/cleaners.py	RellikDog/dota2-win-predictor-v2	2751093d988830296ab0408a820e52bd7fd963b0	[ "MIT" ]	null	null	null	from src.eda import make_counter import pandas as pd import numpy as np from src.heroes import heroes, name_id, id_name def id_list_from_history(data): ''' Takes raw data returnd by api_calls.get_match_history() and returns a list of just the match ID's Input: data(list): ...	32.905109	119	0.590949	634	4,508	4.064669	0.283912	0.02988	0.021731	0.012418	0.103997	0.089251	0.089251	0.089251	0.089251	0.062088	0.004211	0.315217	4,508	137	120	32.905109	0.83058	0.471162	0	0	0	0.159848	0	0	0	0	0	1	0.071429	false	0	0.071429	0	0.196429	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b26f2f9d05f6e347a28ccd82f8bc4ee81785946	808	py	Python	essEcommerce/views.py	AymanTareq/cit_ecommerce	7a000f9f9ed76af99ec3c5a5faa1dbde8b988370	[ "CC0-1.0" ]	null	null	null	essEcommerce/views.py	AymanTareq/cit_ecommerce	7a000f9f9ed76af99ec3c5a5faa1dbde8b988370	[ "CC0-1.0" ]	null	null	null	essEcommerce/views.py	AymanTareq/cit_ecommerce	7a000f9f9ed76af99ec3c5a5faa1dbde8b988370	[ "CC0-1.0" ]	null	null	null	from django.shortcuts import render from .models import * def all_product(request): products = Product.objects.all() context = { 'products':products, } return render(request, 'essEcommerce/all_product.html', context) def cart(request): if request.user.is_authenticated: customer = ...	26.064516	85	0.634901	89	808	5.629213	0.426966	0.071856	0.113772	0.185629	0	0	0	0	0	0	0.003306	0.251238	808	30	86	26.933333	0.824793	0	0.076923	0	0	0.159653	0.095297	0	0	0	0	1	0.115385	false	0	0.076923	0.038462	0.307692	0	0	0	null	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1
4b27ad25bbde1311e3d80132c3a579efdb94319b	431	py	Python	HowloserUare/api/serializers.py	HowloserUare/HowloserUare-api	c5f8a111f1c4bacba8d0932d8da7ad72dd3ce5c0	[ "MIT" ]	null	null	null	HowloserUare/api/serializers.py	HowloserUare/HowloserUare-api	c5f8a111f1c4bacba8d0932d8da7ad72dd3ce5c0	[ "MIT" ]	null	null	null	HowloserUare/api/serializers.py	HowloserUare/HowloserUare-api	c5f8a111f1c4bacba8d0932d8da7ad72dd3ce5c0	[ "MIT" ]	null	null	null	from rest_framework import serializers from rest_framework.validators import UniqueValidator from core.models import User class UserSerializer(serializers.Serializer): username = serializers.CharField( max_length=16, min_length=5, validators=[UniqueValidator(User.objects.all()), ]) pas...	26.9375	59	0.712297	47	431	6.404255	0.595745	0.053156	0.112957	0.192691	0	0	0	0	0	0	0.017391	0.199536	431	15	60	28.733333	0.855072	0	0	0	0	0.00464	0	0	0	0	0	1	0	false	0.083333	0.25	0	0.583333	0	0	0	null	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	0	3
4b2885e057467c9b44c65e10af712efbc6a9cb24	74	py	Python	mogpe/__init__.py	aidanscannell/mogpe	25a9af473d73d6fa35bd060bee0eb2c372b995e5	[ "Apache-2.0" ]	11	2021-04-01T02:40:21.000Z	2022-01-31T16:14:44.000Z	mogpe/__init__.py	aidanscannell/mogpe	25a9af473d73d6fa35bd060bee0eb2c372b995e5	[ "Apache-2.0" ]	null	null	null	mogpe/__init__.py	aidanscannell/mogpe	25a9af473d73d6fa35bd060bee0eb2c372b995e5	[ "Apache-2.0" ]	3	2021-04-04T02:45:34.000Z	2021-11-22T23:48:28.000Z	from . import experts, gating_networks, gps, mixture_of_experts, training	37	73	0.824324	10	74	5.8	0.9	0	0	0	0	0	0	0	0	0	0	0.108108	74	1	74	74	0.878788	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	null	0	0	0	0	0	0	0	1	0	0	null	0	0	0	1	0	1	0	1	0	0	5
4b29c7bf6ebe9ba8c28605961385ea51d3e8eaf4	49	py	Python	pynfldata/coaches_data/__init__.py	trevorbalint/pynfldata	d27c550a5249c30cd2f32a8ad455c9c4ff623f5b	[ "MIT" ]	3	2020-09-24T17:17:28.000Z	2021-09-23T18:39:09.000Z	pynfldata/coaches_data/__init__.py	trevorbalint/pynfldata	d27c550a5249c30cd2f32a8ad455c9c4ff623f5b	[ "MIT" ]	5	2019-10-29T00:31:22.000Z	2020-01-12T12:35:52.000Z	pynfldata/coaches_data/__init__.py	tabalint/pynfldata	d27c550a5249c30cd2f32a8ad455c9c4ff623f5b	[ "MIT" ]	null	null	null	from pynfldata.coaches_data import coaches_parser	49	49	0.918367	7	49	6.142857	0.857143	0	0	0	0	0	0	0	0	0	0	0.061224	49	1	49	49	0.934783	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	null	0	0	0	0	0	0	0	1	0	0	null	0	0	0	1	0	1	0	1	0	0	6
4b2a94692c84f7c38268202ef3957322166618de	991	py	Python	tensorflow_v2/dragen1860/ch10/bn_main.py	gottaegbert/penter	8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d	[ "MIT" ]	13	2020-01-04T07:37:38.000Z	2021-08-31T05:19:58.000Z	tensorflow_v2/dragen1860/ch10/bn_main.py	gottaegbert/penter	8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d	[ "MIT" ]	3	2020-06-05T22:42:53.000Z	2020-08-24T07:18:54.000Z	tensorflow_v2/dragen1860/ch10/bn_main.py	gottaegbert/penter	8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d	[ "MIT" ]	9	2020-10-19T04:53:06.000Z	2021-08-31T05:20:01.000Z	import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers, optimizers # BatchNorm 归一化网络激活函数 # 2 images with 4x4 size, 3 channels # we explicitly enforce the mean and stddev to N(1, 0.5) x = tf.random.normal([2, 4, 4, 3], mean=1.0, stddev=0.5) net = layers.BatchNormalization(axis=-1, ce...	30.030303	81	0.71443	156	991	4.512821	0.461538	0.034091	0.039773	0.06392	0.146307	0.119318	0.119318	0.119318	0.119318	0.119318	0.036993	0.15439	991	32	82	30.96875	0.803103	0.136226	0.15	0	0	0.121034	0	0	0	0	0	1	0	false	0	0.15	0	0.15	0.2	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b2b18a133cf43bd4b7425912dff7947dc039608	1,001	py	Python	pytocl/main.py	moltob/pytocl	905c09e649feca8feeaef6fdecd6767d82cdb28e	[ "MIT" ]	12	2016-11-02T08:43:04.000Z	2020-05-17T11:23:32.000Z	pytocl/main.py	moltob/pytocl	905c09e649feca8feeaef6fdecd6767d82cdb28e	[ "MIT" ]	1	2020-06-08T09:48:20.000Z	2020-06-08T09:48:20.000Z	pytocl/main.py	moltob/pytocl	905c09e649feca8feeaef6fdecd6767d82cdb28e	[ "MIT" ]	3	2017-08-01T18:30:32.000Z	2018-08-04T13:10:15.000Z	"""Application entry point.""" import argparse import logging from pytocl.protocol import Client def main(): """Main entry point of application.""" parser = argparse.ArgumentParser(description='Client for TORCS racing car simulation with SCRC ' 'network server...	30.333333	100	0.622378	119	1,001	5.092437	0.571429	0.044554	0.084158	0	0	0	0	0	0	0	0.021248	0.247752	1,001	32	101	31.28125	0.783533	0.094905	0	0	0	0.272931	0	0	0	0	0	1	0.047619	false	0	0.142857	0	0.190476	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0
4b2b25ace759328c89bdd5c3d6fc4d697b6531e4	2,381	py	Python	JSMultiline.py	axilleasiv/JSMultiline	59779d4b6c444461597b105e31aa0efb0e86805c	[ "MIT" ]	6	2015-05-04T00:05:00.000Z	2016-12-09T14:40:47.000Z	JSMultiline.py	axilleasiv/JSMultiline	59779d4b6c444461597b105e31aa0efb0e86805c	[ "MIT" ]	1	2018-06-25T17:13:37.000Z	2018-06-25T17:13:37.000Z	JSMultiline.py	axilleasiv/JSMultiline	59779d4b6c444461597b105e31aa0efb0e86805c	[ "MIT" ]	null	null	null	import sublime import sublime_plugin import re import os rexLastTabs = re.compile(r'(\t+\|\s+)$', re.MULTILINE) rexEmptyLines = re.compile('^[ \t]$\r?\n', re.MULTILINE) rexCont = re.compile(r'[^\t\s].[^\t\s]') rexFormatted = re.compile(r"((?<=\s)'\|(?<=\t)')\|('*\s[\+\|\\\|])") class RunMultilineAction(sublime_plugin.T...	28.345238	116	0.639227	313	2,381	4.833866	0.319489	0.072703	0.019828	0.039656	0.104428	0.070059	0.070059	0.070059	0.070059	0.070059	0.008638	0.173457	2,381	84	117	28.345238	0.760163	0.046619	0.035088	0	0	0.086458	0.014998	0.017544	0	0	0	1	0.070175	false	0	0.070175	0	0.245614	0	0	0	null	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0