xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

e67e2b8d5cc36e4de07019122375c2f2fc7e621b

765

py

Python

ucs-python/create_ucs_sp_template.py

movinalot/ucs

dc0d37784592d6d78f46efee40c86b6f7ac928b4

[ "MIT" ]

null

ucs-python/create_ucs_sp_template.py

movinalot/ucs

dc0d37784592d6d78f46efee40c86b6f7ac928b4

[ "MIT" ]

null

ucs-python/create_ucs_sp_template.py

movinalot/ucs

dc0d37784592d6d78f46efee40c86b6f7ac928b4

[ "MIT" ]

2

2020-06-17T15:49:37.000Z

2021-01-28T07:21:21.000Z

""" create_ucs_sp_template.py Purpose: UCS Manager Create a UCS Service Profile Template Author: John McDonough (jomcdono@cisco.com) github: (@movinalot) Cisco Systems, Inc. """ from ucsmsdk.ucshandle import UcsHandle from ucsmsdk.mometa.ls.LsServer import LsServer from ucsmsdk.mometa.org.OrgOrg import Or...

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null

0

null

0

1

0

e67f72e9b27124ae9fe286846ee45d52e71dc993

4,105

py

Python

epab/core/config.py

132nd-etcher/epab

5226d3a36580f8cc50cf5dcac426adb1350a2c9b

[ "MIT" ]

2

2018-12-13T06:49:10.000Z

2018-12-13T07:37:49.000Z

epab/core/config.py

etcher-be/epab

5226d3a36580f8cc50cf5dcac426adb1350a2c9b

[ "MIT" ]

109

2018-08-22T04:25:56.000Z

2019-10-17T05:10:21.000Z

epab/core/config.py

etcher-be/epab

5226d3a36580f8cc50cf5dcac426adb1350a2c9b

[ "MIT" ]

1

2018-02-25T05:53:18.000Z

# coding=utf-8 """ Handles EPAB's config file """ import logging import pathlib import elib_config CHANGELOG_DISABLE = elib_config.ConfigValueBool( 'changelog', 'disable', description='Disable changelog building', default=False ) CHANGELOG_FILE_PATH = elib_config.ConfigValuePath( 'changelog', 'file_path', de...

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null

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0

e67fead92c8110015c821a38623a6b98e6c63185

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py

Python

create_flask_app.py

Creativity-Hub/create_flask_app

4c4e2c7360c7773f6f5e3d2fd30e310777650f57

[ "MIT" ]

2

2020-08-05T04:33:20.000Z

2020-08-06T23:03:40.000Z

create_flask_app.py

Creativity-Hub/create_flask_app

4c4e2c7360c7773f6f5e3d2fd30e310777650f57

[ "MIT" ]

null

create_flask_app.py

Creativity-Hub/create_flask_app

4c4e2c7360c7773f6f5e3d2fd30e310777650f57

[ "MIT" ]

null

import os import argparse def check_for_pkg(pkg): try: exec("import " + pkg) except: os.system("pip3 install --user " + pkg) def create_flask_app(app='flask_app', threading=False, wsgiserver=False, unwanted_warnings=False, logging=False, further_logging=False, site_endpoints=None, endpoints=None, request_endpoi...

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e680d5976ff70e83c58f67740990b745a8b0973b

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py

Python

examples/flaskr/flaskr/__init__.py

Flared/flask-sqlalchemy

e73abd51d957a4436bca6b5eadbf5d63771cf5ef

[ "BSD-3-Clause" ]

2

2020-04-09T15:28:49.000Z

2020-04-18T02:55:16.000Z

examples/flaskr/flaskr/__init__.py

Flared/flask-sqlalchemy

e73abd51d957a4436bca6b5eadbf5d63771cf5ef

[ "BSD-3-Clause" ]

null

examples/flaskr/flaskr/__init__.py

Flared/flask-sqlalchemy

e73abd51d957a4436bca6b5eadbf5d63771cf5ef

[ "BSD-3-Clause" ]

1

2020-06-19T11:49:30.000Z

import os import click from flask import Flask from flask.cli import with_appcontext from flask_sqlalchemy import SQLAlchemy __version__ = (1, 0, 0, "dev") db = SQLAlchemy() def create_app(test_config=None): """Create and configure an instance of the Flask application.""" app = Flask(__name__, instance_rel...

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0

null

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1

0

e6821c09b4a2b0ae38dad98719d218377bec1dfe

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py

Python

conversions/decimal_to_binary.py

smukk9/Python

5f4da5d616926dbe77ece828986b8d19c7d65cb5

[ "MIT" ]

6

2020-06-23T11:56:55.000Z

2021-10-03T17:21:34.000Z

conversions/decimal_to_binary.py

smukk9/Python

5f4da5d616926dbe77ece828986b8d19c7d65cb5

[ "MIT" ]

3

2020-06-08T07:03:15.000Z

2020-06-08T08:41:22.000Z

conversions/decimal_to_binary.py

smukk9/Python

5f4da5d616926dbe77ece828986b8d19c7d65cb5

[ "MIT" ]

2

2020-06-26T09:16:11.000Z

2020-07-01T08:55:48.000Z

"""Convert a Decimal Number to a Binary Number.""" def decimal_to_binary(num: int) -> str: """ Convert a Integer Decimal Number to a Binary Number as str. >>> decimal_to_binary(0) '0b0' >>> decimal_to_binary(2) '0b10' >>> decimal_to_binary(7) '0b111' ...

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e684146ff5ca787d26fd1c2feebd83d974744890

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py

Python

algorithms_keeper/parser/rules/use_fstring.py

Fongeme/algorithms-keeper

ea80d9342b4d2efd246a6bc409889ed780accf08

[ "MIT" ]

50

2021-02-27T04:13:11.000Z

2022-03-29T04:34:01.000Z

algorithms_keeper/parser/rules/use_fstring.py

dedsec-9/algorithms-keeper

0d98e4e24e239524c48d9eab19c493ac288ecf83

[ "MIT" ]

52

2021-08-09T22:40:20.000Z

2022-03-07T16:56:36.000Z

algorithms_keeper/parser/rules/use_fstring.py

dedsec-9/algorithms-keeper

0d98e4e24e239524c48d9eab19c493ac288ecf83

[ "MIT" ]

22

2021-04-28T06:56:27.000Z

2022-03-13T07:27:45.000Z

import libcst as cst import libcst.matchers as m from fixit import CstLintRule from fixit import InvalidTestCase as Invalid from fixit import ValidTestCase as Valid class UseFstringRule(CstLintRule): MESSAGE: str = ( "As mentioned in the [Contributing Guidelines]" + "(https://github.com/TheAlgori...

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null

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null

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e685406479e82ae52847e5dad03d1463ba77358b

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py

Python

SiMon/visualization.py

Jennyx18/SiMon

522432ff708954ac37050609cfd6f42dd96467e4

[ "BSD-2-Clause" ]

9

2017-03-04T08:00:58.000Z

2021-04-03T18:18:40.000Z

SiMon/visualization.py

Jennyx18/SiMon

522432ff708954ac37050609cfd6f42dd96467e4

[ "BSD-2-Clause" ]

52

2016-09-23T14:06:06.000Z

2021-08-05T12:21:29.000Z

SiMon/visualization.py

Jennyx18/SiMon

522432ff708954ac37050609cfd6f42dd96467e4

[ "BSD-2-Clause" ]

4

2016-09-15T02:09:42.000Z

2021-06-15T11:42:58.000Z

import os import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import numpy as np import math from datetime import datetime from matplotlib.colors import ListedColormap, BoundaryNorm from matplotlib.collections import LineCollection from matplotlib import cm from SiMon.simulation import Simulation f...

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null

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0

e6855e47f2ad7aa6ba42d8fa11c100eb19915033

3,700

py

Python

bin/psm/oil_jet.py

ChrisBarker-NOAA/tamoc

c797cbb6fee28d788b76d21cc5b0cc0df5444ba8

[ "MIT" ]

18

2016-02-24T01:48:41.000Z

2021-11-05T03:18:24.000Z

bin/psm/oil_jet.py

ChrisBarker-NOAA/tamoc

c797cbb6fee28d788b76d21cc5b0cc0df5444ba8

[ "MIT" ]

16

2016-08-09T07:06:35.000Z

2021-12-23T19:38:37.000Z

bin/psm/oil_jet.py

ChrisBarker-NOAA/tamoc

c797cbb6fee28d788b76d21cc5b0cc0df5444ba8

[ "MIT" ]

9

2017-03-01T01:22:27.000Z

2021-09-17T12:13:40.000Z

""" Particle Size Models: Pure Oil Jet =================================== Use the ``TAMOC`` `particle_size_models` module to simulate a laboratory scale pure oil jet into water. This script demonstrates the typical steps involved in using the `particle_size_models.PureJet` object, which requires specification of all...

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null

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e6862496cf199e7f27dd40deb80fa8e54704b966

1,121

py

Python

tron/Nubs/hal.py

sdss/tron

886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322

[ "BSD-3-Clause" ]

null

tron/Nubs/hal.py

sdss/tron

886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322

[ "BSD-3-Clause" ]

null

tron/Nubs/hal.py

sdss/tron

886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322

[ "BSD-3-Clause" ]

null

import os.path import tron.Misc from tron import g, hub from tron.Hub.Command.Encoders.ASCIICmdEncoder import ASCIICmdEncoder from tron.Hub.Nub.SocketActorNub import SocketActorNub from tron.Hub.Reply.Decoders.ASCIIReplyDecoder import ASCIIReplyDecoder name = 'hal' def start(poller): cfg = tron.Misc.cfg.get(g....

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0

null

0

null

0

1

0

e68781e0de8404ad5b22f8d2f250a25084af55ff

1,092

py

Python

extensions/domain.py

anubhavsinha98/oppia

9a64ea2e91d2f471ce22bd39da77b43dccd5b51f

[ "Apache-2.0" ]

1

2019-08-31T17:06:41.000Z

extensions/domain.py

anubhavsinha98/oppia

9a64ea2e91d2f471ce22bd39da77b43dccd5b51f

[ "Apache-2.0" ]

null

extensions/domain.py

anubhavsinha98/oppia

9a64ea2e91d2f471ce22bd39da77b43dccd5b51f

[ "Apache-2.0" ]

null

# coding: utf-8 # # Copyright 2014 The Oppia Authors. 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 requi...

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e6889a8d19aba99a640a29f5b573f28a57dbd412

1,727

py

Python

rbc/externals/stdio.py

guilhermeleobas/rbc

4b568b91c6ce3ef7727fee001169302c3803c4fd

[ "BSD-3-Clause" ]

null

rbc/externals/stdio.py

guilhermeleobas/rbc

4b568b91c6ce3ef7727fee001169302c3803c4fd

[ "BSD-3-Clause" ]

null

rbc/externals/stdio.py

guilhermeleobas/rbc

4b568b91c6ce3ef7727fee001169302c3803c4fd

[ "BSD-3-Clause" ]

null

"""https://en.cppreference.com/w/c/io """ from rbc import irutils from llvmlite import ir from rbc.targetinfo import TargetInfo from numba.core import cgutils, extending from numba.core import types as nb_types from rbc.errors import NumbaTypeError # some errors are available for Numba >= 0.55 int32_t = ir.IntType(3...

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null

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e689526fba8d369acce37c9eab4574f56f8a1f4b

991

py

Python

setup.py

clach04/discoverhue

8f35cbc8ff9b5aab80b8be0443427058c1da51ed

[ "MIT" ]

10

2017-09-26T22:34:38.000Z

2021-11-19T22:37:59.000Z

setup.py

clach04/discoverhue

8f35cbc8ff9b5aab80b8be0443427058c1da51ed

[ "MIT" ]

7

2018-02-04T19:38:03.000Z

2021-10-30T13:20:33.000Z

setup.py

clach04/discoverhue

8f35cbc8ff9b5aab80b8be0443427058c1da51ed

[ "MIT" ]

4

2019-06-28T15:26:45.000Z

2022-01-20T02:26:05.000Z

from setuptools import setup try: import pypandoc long_description = pypandoc.convert_file('README.md', 'rst', extra_args=()) except ImportError: import codecs long_description = codecs.open('README.md', encoding='utf-8').read() long_description = '\n'.join(long_description.splitlines()) setup( n...

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0.137931

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null

0

null

0

1

0

e68a7efe5fb704c535ff7a5982b5a18ddc07817d

6,024

py

Python

utils/logmmse.py

dbonattoj/Real-Time-Voice-Cloning

7ce361b0e900cb0fad4289884f526578ba276481

[ "MIT" ]

3

2020-07-10T02:23:00.000Z

2021-08-17T12:35:09.000Z

utils/logmmse.py

amoliu/Real-Time-Voice-Cloning

7808d6f80aa9bbaffe367fde07b1c6f96cd3697e

[ "MIT" ]

1

2020-09-30T09:29:57.000Z

2020-10-31T15:38:50.000Z

utils/logmmse.py

amoliu/Real-Time-Voice-Cloning

7808d6f80aa9bbaffe367fde07b1c6f96cd3697e

[ "MIT" ]

5

2020-04-23T10:52:30.000Z

2021-08-17T12:35:19.000Z

# The MIT License (MIT) # # Copyright (c) 2015 braindead # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modif...

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e68aea4ed97106ccbd90e2eca6ee1a3772751cb0

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py

Python

lib/core/session.py

6un9-h0-Dan/CIRTKit

58b8793ada69320ffdbdd4ecdc04a3bb2fa83c37

[ "MIT" ]

97

2017-12-18T15:19:28.000Z

2022-03-25T07:10:00.000Z

lib/core/session.py

robertdigital/CIRTKit

58b8793ada69320ffdbdd4ecdc04a3bb2fa83c37

[ "MIT" ]

1

2019-01-29T16:29:27.000Z

lib/core/session.py

robertdigital/CIRTKit

58b8793ada69320ffdbdd4ecdc04a3bb2fa83c37

[ "MIT" ]

21

2018-04-04T18:12:13.000Z

2021-06-12T09:40:58.000Z

# This file is part of Viper - https://github.com/viper-framework/viper # See the file 'LICENSE' for copying permission. import time import datetime from lib.common.out import * from lib.common.objects import File from lib.core.database import Database from lib.core.investigation import __project__ class Session(ob...

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null

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e68c5bbc6721a5ef393bdd04f567f863f9c93e3b

3,810

py

Python

tests/ut/datavisual/common/test_error_handler.py

zengchen1024/mindinsight

228a448b46707e889efc1fb23502158e27ab56ca

[ "Apache-2.0" ]

null

tests/ut/datavisual/common/test_error_handler.py

zengchen1024/mindinsight

228a448b46707e889efc1fb23502158e27ab56ca

[ "Apache-2.0" ]

null

tests/ut/datavisual/common/test_error_handler.py

zengchen1024/mindinsight

228a448b46707e889efc1fb23502158e27ab56ca

[ "Apache-2.0" ]

null

# Copyright 2019 Huawei Technologies Co., Ltd # # 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 agreed to...

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null

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e68dece75266882db686c493e81051a931627936

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py

Python

src/.ipynb_checkpoints/headpose_model-checkpoint.py

geochri/Intel_Edge_AI-Computer_Pointer_controller

068947fa0cbe0c5d1b74e2c0eb69a85bbc439131

[ "MIT" ]

null

src/.ipynb_checkpoints/headpose_model-checkpoint.py

geochri/Intel_Edge_AI-Computer_Pointer_controller

068947fa0cbe0c5d1b74e2c0eb69a85bbc439131

[ "MIT" ]

3

2021-03-19T14:38:26.000Z

2022-03-12T00:43:27.000Z

src/.ipynb_checkpoints/headpose_model-checkpoint.py

geochri/Intel_Edge_AI-Computer_Pointer_controller

068947fa0cbe0c5d1b74e2c0eb69a85bbc439131

[ "MIT" ]

null

''' This is a sample class for a model. You may choose to use it as-is or make any changes to it. This has been provided just to give you an idea of how to structure your model class. ''' from openvino.inference_engine import IENetwork, IECore import numpy as np import os import cv2 import sys class Model_HeadPose: ...

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e692205969e07efd17736b63f7c1d2bf34e22ac0

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py

Python

Contests/Snackdown19_Qualifier/CHEFPRMS.py

PK-100/Competitive_Programming

d0863feaaa99462b2999e85dcf115f7a6c08bb8d

[ "MIT" ]

70

2018-06-25T21:20:15.000Z

2022-03-24T03:55:17.000Z

Contests/Snackdown19_Qualifier/CHEFPRMS.py

An3sha/Competitive_Programming

ee7eadf51939a360d0b004d787ebabda583e92f0

[ "MIT" ]

4

2018-09-04T13:12:20.000Z

2021-06-20T08:29:12.000Z

Contests/Snackdown19_Qualifier/CHEFPRMS.py

An3sha/Competitive_Programming

ee7eadf51939a360d0b004d787ebabda583e92f0

[ "MIT" ]

24

2018-12-26T05:15:32.000Z

2022-01-23T23:04:54.000Z

import math def square(n): tmp=round(math.sqrt(n)) if tmp*tmp==n: return False else: return True def semprime(n): ch = 0 if square(n)==False: return False for i in range(2, int(math.sqrt(n)) + 1): while n%i==0: n//=i ch+=1 if ch...

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null

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null

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1

0

e692fc94ab5c1ffa86ca1f2d1e72224d55aaebca

8,474

py

Python

make_base_container.py

thiagodasilva/runway

a5455e885302df534fcfff0470881fbd2ad8eed5

[ "Apache-2.0" ]

null

make_base_container.py

thiagodasilva/runway

a5455e885302df534fcfff0470881fbd2ad8eed5

[ "Apache-2.0" ]

null

make_base_container.py

thiagodasilva/runway

a5455e885302df534fcfff0470881fbd2ad8eed5

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import argparse import os import random import requests import sys import tempfile import uuid from libs import colorprint from libs.cli import run_command SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__)) # assume well-known lvm volume group on host # ...later we'll figure out how to ...

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0

null

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0

e693812c79b01a653cf7ed97ebf4b0c9deae4584

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py

Python

exercicios_antigos/ex_01.py

jfklima/prog_pratica

72c795e3372e46f04ce0c92c05187aec651777cf

[ "MIT" ]

null

exercicios_antigos/ex_01.py

jfklima/prog_pratica

72c795e3372e46f04ce0c92c05187aec651777cf

[ "MIT" ]

null

exercicios_antigos/ex_01.py

jfklima/prog_pratica

72c795e3372e46f04ce0c92c05187aec651777cf

[ "MIT" ]

null

"""Criar uma função que retorne min e max de uma sequência numérica aleatória. Só pode usar if, comparações, recursão e funções que sejam de sua autoria. Se quiser usar laços também pode. Deve informar via docstring qual é a complexidade de tempo e espaço da sua solução """ from math import inf def minimo_e_maxim...

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0

null

0

null

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0

e693c2c06b451b4433b40c8836d35627ae32d7b5

806

py

Python

docs/demos/theme_explorer/util.py

harisbal/dash-bootstrap-components

d7c91c08e0821ccfd81330db912cde71ec57c171

[ "Apache-2.0" ]

1

2021-05-08T08:21:41.000Z

docs/demos/theme_explorer/util.py

harisbal/dash-bootstrap-components

d7c91c08e0821ccfd81330db912cde71ec57c171

[ "Apache-2.0" ]

null

docs/demos/theme_explorer/util.py

harisbal/dash-bootstrap-components

d7c91c08e0821ccfd81330db912cde71ec57c171

[ "Apache-2.0" ]

null

import dash_bootstrap_components as dbc import dash_html_components as html DBC_DOCS = ( "https://dash-bootstrap-components.opensource.faculty.ai/docs/components/" ) def make_subheading(label, link): slug = label.replace(" ", "") heading = html.H2( html.Span( [ label,...

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0

null

0

null

0

1

0

e693c649026985a8de2994906ab2b8b27870d123

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py

Python

pytorch_toolbox/visualization/visdom_logger.py

MathGaron/pytorch_toolbox

2afd13e50ba71dfce66467a4b070d9b922668502

[ "MIT" ]

10

2018-02-26T04:51:11.000Z

2021-10-01T02:30:37.000Z

pytorch_toolbox/visualization/visdom_logger.py

MathGaron/pytorch_toolbox

2afd13e50ba71dfce66467a4b070d9b922668502

[ "MIT" ]

9

2017-11-16T16:11:16.000Z

2020-02-13T13:10:55.000Z

pytorch_toolbox/visualization/visdom_logger.py

MathGaron/pytorch_toolbox

2afd13e50ba71dfce66467a4b070d9b922668502

[ "MIT" ]

7

2018-02-12T19:06:14.000Z

2021-03-25T19:13:51.000Z

''' The visualization class provides an easy access to some of the visdom functionalities Accept as input a number that will be ploted over time or an image of type np.ndarray ''' from visdom import Visdom import numpy as np import numbers class VisdomLogger: items_iterator = {} items_to_visualize = {} w...

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null

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null

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1

0

e698cce58860b9d7c8249a1734c7596543b84bc7

1,843

py

Python

defects4cpp/errors/argparser.py

HansolChoe/defects4cpp

cb9e3db239c50e6ec38127cec117865f0ee7a5cf

[ "MIT" ]

10

2021-06-23T01:53:19.000Z

2022-03-31T03:14:01.000Z

defects4cpp/errors/argparser.py

HansolChoe/defects4cpp

cb9e3db239c50e6ec38127cec117865f0ee7a5cf

[ "MIT" ]

34

2021-05-27T01:09:04.000Z

2022-03-28T07:53:35.000Z

defects4cpp/errors/argparser.py

HansolChoe/defects4cpp

cb9e3db239c50e6ec38127cec117865f0ee7a5cf

[ "MIT" ]

6

2021-09-03T07:16:56.000Z

2022-03-29T07:30:35.000Z

from pathlib import Path from typing import Dict from errors.common.exception import DppError class DppArgparseError(DppError): pass class DppArgparseTaxonomyNotFoundError(DppArgparseError): def __init__(self, taxonomy_name: str): super().__init__(f"taxonomy '{taxonomy_name}' does not exist") ...

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1,843

62

91

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0.465116

0

null

0

null

0

1

0

e69993a645167fee1fbafcf116e0729c914350fa

15,381

py

Python

fold_cur_trans.py

lucasforever24/arcface_noonan

9d805a0d4d478e347a9084ad6ce24fe4c8dc5e65

[ "MIT" ]

null

fold_cur_trans.py

lucasforever24/arcface_noonan

9d805a0d4d478e347a9084ad6ce24fe4c8dc5e65

[ "MIT" ]

null

fold_cur_trans.py

lucasforever24/arcface_noonan

9d805a0d4d478e347a9084ad6ce24fe4c8dc5e65

[ "MIT" ]

null

import cv2 from PIL import Image import argparse from pathlib import Path from multiprocessing import Process, Pipe,Value,Array import torch from config import get_config from mtcnn import MTCNN from Learner_trans_tf import face_learner from utils import load_facebank, draw_box_name, prepare_facebank, save_label_score,...

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null

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null

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0

e699c205aa18e90414c7e2eebb09f229e7cbf13e

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py

Python

examples/tryclass.py

manahter/dirio

c33fcd6c114ffb275d7147156c7041389fab6cfc

[ "MIT" ]

null

examples/tryclass.py

manahter/dirio

c33fcd6c114ffb275d7147156c7041389fab6cfc

[ "MIT" ]

null

examples/tryclass.py

manahter/dirio

c33fcd6c114ffb275d7147156c7041389fab6cfc

[ "MIT" ]

null

import time class TryClass: value = 1 valu = 2 val = 3 va = 4 v = 5 def __init__(self, value=4): print("Created TryClass :", self) self.value = value def metod1(self, value, val2=""): self.value += value print(f"\t>>> metod 1, add: {value}, now value : {se...

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0.082777

0

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0

null

0

null

0

1

0

e69c64799a3175f6ca7da109f5305d614b082638

487

py

Python

arrays/jump2/Solution.py

shahbagdadi/py-algo-n-ds

ff689534b771ddb4869b001b20a0e21b4896bb0a

[ "MIT" ]

null

arrays/jump2/Solution.py

shahbagdadi/py-algo-n-ds

ff689534b771ddb4869b001b20a0e21b4896bb0a

[ "MIT" ]

null

arrays/jump2/Solution.py

shahbagdadi/py-algo-n-ds

ff689534b771ddb4869b001b20a0e21b4896bb0a

[ "MIT" ]

null

from typing import List import sys class Solution: def jump(self, nums: List[int]) -> int: if len(nums) <=1: return 0 l , r , jumps = 0, nums[0] , 1 while r < len(nums)-1 : jumps += 1 # you can land anywhere between l & r+1 in a jump and then use Num[i] to jump from ...

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0

1

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0

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0

null

0

null

0

1

0

e69c81543af0469c06adb5c970083f2d456e2ede

1,881

py

Python

share/tests.py

shared-tw/shared-tw

90dcf92744b4e0ec9e9aa085026b5543c9c3922c

[ "MIT" ]

2

2021-12-09T10:39:37.000Z

2022-02-22T09:01:26.000Z

share/tests.py

shared-tw/backend

90dcf92744b4e0ec9e9aa085026b5543c9c3922c

[ "MIT" ]

3

2021-07-03T12:56:38.000Z

2021-07-04T05:53:43.000Z

share/tests.py

shared-tw/shared-tw

90dcf92744b4e0ec9e9aa085026b5543c9c3922c

[ "MIT" ]

null

import unittest from . import states class DonationStateTestCase(unittest.TestCase): def test_approve_pending_state(self): approve_pending_statue = states.PendingApprovalState() approved_event = states.DonationApprovedEvent() self.assertIsInstance( approve_pending_statue.appl...

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0

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81

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0

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0

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0

null

0

null

0

1

0

e69ec2353a5fed95b6dce8a05f828517c6009931

2,137

py

Python

app/extensions.py

grow/airpress

b46e951b27b8216f51f0fade3695049455866825

[ "MIT" ]

1

2017-07-07T20:15:14.000Z

app/extensions.py

grow/airpress

b46e951b27b8216f51f0fade3695049455866825

[ "MIT" ]

4

2020-03-24T15:24:51.000Z

2021-06-01T21:42:43.000Z

app/extensions.py

grow/airpress

b46e951b27b8216f51f0fade3695049455866825

[ "MIT" ]

1

2016-12-15T00:03:13.000Z

from jinja2 import nodes from jinja2.ext import Extension class FragmentCacheExtension(Extension): # a set of names that trigger the extension. tags = set(['cache']) def __init__(self, environment): super(FragmentCacheExtension, self).__init__(environment) # add the defaults to the envir...

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0

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0

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false

0

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0

0.357143

0

null

0

null

0

1

0

e6a26bf564f5d9a437cee65264d1566e43a4893e

10,198

py

Python

flatlander/runner/experiment_runner.py

wullli/flatlander

2c7fbd3d025f2a05c40895ec735a92d7a6bfb1ad

[ "MIT" ]

3

2020-12-30T04:18:42.000Z

2022-03-17T13:15:30.000Z

flatlander/runner/experiment_runner.py

wullli/flatlander

2c7fbd3d025f2a05c40895ec735a92d7a6bfb1ad

[ "MIT" ]

null

flatlander/runner/experiment_runner.py

wullli/flatlander

2c7fbd3d025f2a05c40895ec735a92d7a6bfb1ad

[ "MIT" ]

null

import os from argparse import ArgumentParser from pathlib import Path import gym import ray import ray.tune.result as ray_results import yaml from gym.spaces import Tuple from ray.cluster_utils import Cluster from ray.rllib.utils import try_import_tf, try_import_torch from ray.tune import run_experiments, register_en...

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0

null

0

null

0

1

0

e6a4e0e5dfdac6166da22e4d8c2409f996b05e0d

7,273

py

Python

syslib/utils_keywords.py

rahulmah/sample-cloud-native-toolchain-tutorial-20170720084529291

08540c0f083a25b5b4e7a4c839080fe54383038c

[ "Apache-2.0" ]

1

2019-01-19T09:32:18.000Z

syslib/utils_keywords.py

rahulmah/sample-cloud-native-toolchain-tutorial-20170720084529291

08540c0f083a25b5b4e7a4c839080fe54383038c

[ "Apache-2.0" ]

null

syslib/utils_keywords.py

rahulmah/sample-cloud-native-toolchain-tutorial-20170720084529291

08540c0f083a25b5b4e7a4c839080fe54383038c

[ "Apache-2.0" ]

null

#!/usr/bin/env python r""" This module contains keyword functions to supplement robot's built in functions and use in test where generic robot keywords don't support. """ import time from robot.libraries.BuiltIn import BuiltIn from robot.libraries import DateTime import re ###########################################...

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null

0

null

0

1

0

e6a5f147ff440a3daeccaecdee477658d01cb25a

4,044

py

Python

DBParser/DBMove.py

lelle1234/Db2Utils

55570a1afbe6d4abe61c31952bc178c2443f4e5b

[ "Apache-2.0" ]

4

2020-02-27T13:56:37.000Z

2022-02-07T23:07:24.000Z

DBParser/DBMove.py

lelle1234/Db2Utils

55570a1afbe6d4abe61c31952bc178c2443f4e5b

[ "Apache-2.0" ]

null

DBParser/DBMove.py

lelle1234/Db2Utils

55570a1afbe6d4abe61c31952bc178c2443f4e5b

[ "Apache-2.0" ]

null

#!/usr/bin/python3 import ibm_db import getopt import sys import os from toposort import toposort_flatten db = None host = "localhost" port = "50000" user = None pwd = None outfile = None targetdb = None try: opts, args = getopt.getopt(sys.argv[1:], "h:d:P:u:p:o:t:") except getopt.GetoptError: sys.exit(-1) f...

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null

0

null

0

1

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e6a6b8f37ebe80036ee8d9a83872d377cb863d68

732

py

Python

utils/glove.py

MirunaPislar/Word2vec

e9dd01488f081a7b8d7c00a0b21efe0d401d4927

[ "MIT" ]

13

2018-05-19T22:29:27.000Z

2022-03-25T13:28:17.000Z

utils/glove.py

MirunaPislar/Word2vec

e9dd01488f081a7b8d7c00a0b21efe0d401d4927

[ "MIT" ]

1

2019-01-14T09:55:50.000Z

2019-01-25T22:17:03.000Z

utils/glove.py

MirunaPislar/Word2vec

e9dd01488f081a7b8d7c00a0b21efe0d401d4927

[ "MIT" ]

6

2018-05-19T22:29:29.000Z

2022-03-11T12:00:37.000Z

import numpy as np DEFAULT_FILE_PATH = "utils/datasets/glove.6B.50d.txt" def loadWordVectors(tokens, filepath=DEFAULT_FILE_PATH, dimensions=50): """Read pretrained GloVe vectors""" wordVectors = np.zeros((len(tokens), dimensions)) with open(filepath) as ifs: for line in ifs: line = lin...

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null

0

null

0

1

0

e6ab4939fc5a6bc71ee2ae80221a8f7dd6549b7a

2,753

py

Python

gremlin-python/src/main/jython/setup.py

EvKissle/tinkerpop

84195e38fc22a1a089c345fade9c75711e6cfdfe

[ "Apache-2.0" ]

null

gremlin-python/src/main/jython/setup.py

EvKissle/tinkerpop

84195e38fc22a1a089c345fade9c75711e6cfdfe

[ "Apache-2.0" ]

null

gremlin-python/src/main/jython/setup.py

EvKissle/tinkerpop

84195e38fc22a1a089c345fade9c75711e6cfdfe

[ "Apache-2.0" ]

null

''' Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this ...

32.388235

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0.682528

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2,753

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0.040961

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0

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2,753

84

105

32.77381

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0.037037

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0.111111

0

null

0

null

0

1

0

e6ab63dd0a627fd5e3fd6b78f7716ef38a63c388

1,112

py

Python

src/_bar.py

yoshihikosuzuki/plotly_light

cef2465486e9147e27feae1193a1b4487e4fc543

[ "MIT" ]

null

src/_bar.py

yoshihikosuzuki/plotly_light

cef2465486e9147e27feae1193a1b4487e4fc543

[ "MIT" ]

null

src/_bar.py

yoshihikosuzuki/plotly_light

cef2465486e9147e27feae1193a1b4487e4fc543

[ "MIT" ]

null

from typing import Optional, Sequence import plotly.graph_objects as go def bar(x: Sequence, y: Sequence, text: Optional[Sequence] = None, width: Optional[int] = None, col: Optional[str] = None, opacity: float = 1, name: Optional[str] = None, show_legend: bool = ...

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0.064189

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0.001441

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34

63

32.705882

0.851585

0.340827

0

0.014577

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1

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0

0.2

0

null

0

null

0

1

0

e6acb4fde9c00fed8d158a1a19ae4c34b7d7d64e

4,029

py

Python

pennylane/templates/subroutines/arbitrary_unitary.py

doomhammerhell/pennylane

f147f22d8d99ba5891edd45a6a1f7dd679c8a23c

[ "Apache-2.0" ]

3

2021-02-22T18:30:55.000Z

2021-02-23T10:54:58.000Z

pennylane/templates/subroutines/arbitrary_unitary.py

doomhammerhell/pennylane

f147f22d8d99ba5891edd45a6a1f7dd679c8a23c

[ "Apache-2.0" ]

null

pennylane/templates/subroutines/arbitrary_unitary.py

doomhammerhell/pennylane

f147f22d8d99ba5891edd45a6a1f7dd679c8a23c

[ "Apache-2.0" ]

1

2021-03-27T09:03:15.000Z

# Copyright 2018-2021 Xanadu Quantum Technologies Inc. # 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...

31.476563

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0.647803

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4,029

4.483304

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0.015288

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0.011682

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108

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0

0.380952

0

null

0

null

0

1

0

e6aec9eead70cf9709e4908f8e9466e087fc8de3

5,271

py

Python

vae_celeba.py

aidiary/generative-models-pytorch

c9ae23a4ecbe4bf8f82dbaf9e4e3e1e61530e6b0

[ "MIT" ]

null

vae_celeba.py

aidiary/generative-models-pytorch

c9ae23a4ecbe4bf8f82dbaf9e4e3e1e61530e6b0

[ "MIT" ]

null

vae_celeba.py

aidiary/generative-models-pytorch

c9ae23a4ecbe4bf8f82dbaf9e4e3e1e61530e6b0

[ "MIT" ]

null

import pytorch_lightning as pl import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from pytorch_lightning.loggers import TensorBoardLogger from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import CelebA class Encoder(nn.Modu...

31.189349

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0.592677

652

5,271

4.599693

0.214724

0.032011

0.029343

0.045348

0.466822

0.414138

0.389463

0.372124

0.315438

0.302434

0

0.043502

0.293493

5,271

168

104

31.375

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0

1

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false

0

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0

0.255814

0

null

0

null

0

1

0

e6afcad02c1d49dbed0f7930d88f9219376906a4

2,686

py

Python

data/process_data.py

julat/DisasterResponse

140489e521a96dc2ff9c9a95f0ce4e99403f03af

[ "MIT" ]

null

data/process_data.py

julat/DisasterResponse

140489e521a96dc2ff9c9a95f0ce4e99403f03af

[ "MIT" ]

null

data/process_data.py

julat/DisasterResponse

140489e521a96dc2ff9c9a95f0ce4e99403f03af

[ "MIT" ]

null

# Import libraries import sys import pandas as pd from sqlalchemy import create_engine def load_data(messages_filepath, categories_filepath): """ Load the data from the disaster response csvs Parameters: messages_filepath (str): Path to messages csv categories_filepath (str): Path to categories csv...

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0.652271

320

2,686

5.334375

0.33125

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0.076157

0.079672

0.093732

0.049209

0

0.004883

0.237528

2,686

94

81

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0.828613

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0

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0

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0

1

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false

0

0.068182

0

0.204545

0.113636

0

null

0

null

0

1

0

e6b027e44688ca01138133b153494c3bc7370758

3,658

py

Python

contrail-controller/files/plugins/check_contrail_status_controller.py

atsgen/tf-charms

81110aef700b2f227654d52709614ddb3d62ba17

[ "Apache-2.0" ]

null

contrail-controller/files/plugins/check_contrail_status_controller.py

atsgen/tf-charms

81110aef700b2f227654d52709614ddb3d62ba17

[ "Apache-2.0" ]

null

contrail-controller/files/plugins/check_contrail_status_controller.py

atsgen/tf-charms

81110aef700b2f227654d52709614ddb3d62ba17

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import subprocess import sys import json SERVICES = { 'control': [ 'control', 'nodemgr', 'named', 'dns', ], 'config-database': [ 'nodemgr', 'zookeeper', 'rabbitmq', 'cassandra', ], 'webui': [ 'web', ...

29.739837

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4.982234

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0.051961

0.048395

0.511971

0.379012

0.34539

0.29241

0

0.01221

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194

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0

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0.075472

0

null

0

null

0

1

0

e6b042b87a1d5f3672a72f7fa6b5679e20f39682

2,693

py

Python

leaderboard-server/leaderboard-server.py

harnitsignalfx/skogaming

c860219c89149d686106dfb7a93d27df39830842

[ "MIT" ]

1

2021-03-01T20:56:24.000Z

leaderboard-server/leaderboard-server.py

harnitsignalfx/skogaming

c860219c89149d686106dfb7a93d27df39830842

[ "MIT" ]

null

leaderboard-server/leaderboard-server.py

harnitsignalfx/skogaming

c860219c89149d686106dfb7a93d27df39830842

[ "MIT" ]

1

2021-02-20T17:36:47.000Z

from flask import Flask, jsonify, request from flask_cors import CORS, cross_origin import simplejson as json from leaderboard.leaderboard import Leaderboard import uwsgidecorators import signalfx app = Flask(__name__) app.config['CORS_HEADERS'] = 'Content-Type' cors = CORS(app) highscore_lb_starship = Leaderboard('...

26.663366

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0.649833

309

2,693

5.553398

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0.032051

0.052448

0.060606

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0.283217

0.254079

0.212121

0.085082

0

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2,693

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0

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0.045455

0

null

0

null

0

1

0

e6b183e72d2aff2b604bbf82d32e69244b409f59

1,591

py

Python

meshio/_cli/_info.py

jorgensd/meshio

0600ac9e9e8d1e1a27d5f3f2f4235414f4482cac

[ "MIT" ]

1

2020-09-01T11:26:15.000Z

meshio/_cli/_info.py

jorgensd/meshio

0600ac9e9e8d1e1a27d5f3f2f4235414f4482cac

[ "MIT" ]

null

meshio/_cli/_info.py

jorgensd/meshio

0600ac9e9e8d1e1a27d5f3f2f4235414f4482cac

[ "MIT" ]

null

import argparse import numpy as np from .._helpers import read, reader_map from ._helpers import _get_version_text def info(argv=None): # Parse command line arguments. parser = _get_info_parser() args = parser.parse_args(argv) # read mesh data mesh = read(args.infile, file_format=args.input_for...

26.966102

87

0.637335

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1,591

4.885572

0.437811

0.03666

0.033605

0.028513

0.038697

0

0.001704

0.262099

1,591

58

88

27.431034

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0.085481

0

0.095238

0

0.164828

0

1

0.047619

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0

0.095238

0

0.166667

0.071429

0

null

0

null

0

1

0

e6b2c4874559385c0807dca69b9f07a62e9a1d08

1,324

py

Python

ccslink/Zip.py

Data-Linkage/ccslink

ee1105888d43c6a2b307deb96ddede34d03a965f

[ "MIT" ]

null

ccslink/Zip.py

Data-Linkage/ccslink

ee1105888d43c6a2b307deb96ddede34d03a965f

[ "MIT" ]

null

ccslink/Zip.py

Data-Linkage/ccslink

ee1105888d43c6a2b307deb96ddede34d03a965f

[ "MIT" ]

null

import os, shutil from CCSLink import Spark_Session as SS def add_zipped_dependency(zip_from, zip_target): """ This method creates a zip of the code to be sent to the executors. It essentially zips the Python packages installed by PIP and submits them via addPyFile in the current PySpark context E...

33.1

70

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199

1,324

4.40201

0.507538

0.062785

0.027397

0.025114

0

0.002004

0.246224

1,324

39

71

33.948718

0.875752

0.563444

0

0.129032

0.074004

0

1

0.076923

false

0

0.153846

0

0.230769

0

null

0

null

0

1

0

e6b2fbff1fb4792ec87b5e0830c85e32ea769936

2,484

py

Python

moltemplate/nbody_Angles.py

Mopolino8/moltemplate

363df364fcb012e8e4beb7bc616a77d696b8b707

[ "BSD-3-Clause" ]

null

moltemplate/nbody_Angles.py

Mopolino8/moltemplate

363df364fcb012e8e4beb7bc616a77d696b8b707

[ "BSD-3-Clause" ]

null

moltemplate/nbody_Angles.py

Mopolino8/moltemplate

363df364fcb012e8e4beb7bc616a77d696b8b707

[ "BSD-3-Clause" ]

1

2019-11-24T17:32:28.000Z

try: from .nbody_graph_search import Ugraph except (SystemError, ValueError): # not installed as a package from nbody_graph_search import Ugraph # This file defines how 3-body angle interactions are generated by moltemplate # by default. It can be overridden by supplying your own custom file. # To fi...

42.827586

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2,484

4.149144

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0.00825

0.007071

0.023571

0.068356

0

0.0384

0.245169

2,484

57

80

43.578947

0.866667

0.771739

0

1

0.066667

false

0

0.133333

0

0.333333

0

null

0

null

0

1

0

e6b3c1a04d6b23957a4328b1a4d335f1079479f3

8,099

py

Python

extras/usd/examples/usdMakeFileVariantModelAsset/usdMakeFileVariantModelAsset.py

DougRogers-DigitalFish/USD

d8a405a1344480f859f025c4f97085143efacb53

[ "BSD-2-Clause" ]

3,680

2016-07-26T18:28:11.000Z

2022-03-31T09:55:05.000Z

extras/usd/examples/usdMakeFileVariantModelAsset/usdMakeFileVariantModelAsset.py

DougRogers-DigitalFish/USD

d8a405a1344480f859f025c4f97085143efacb53

[ "BSD-2-Clause" ]

1,759

2016-07-26T19:19:59.000Z

2022-03-31T21:24:00.000Z

extras/usd/examples/usdMakeFileVariantModelAsset/usdMakeFileVariantModelAsset.py

DougRogers-DigitalFish/USD

d8a405a1344480f859f025c4f97085143efacb53

[ "BSD-2-Clause" ]

904

2016-07-26T18:33:40.000Z

2022-03-31T09:55:16.000Z

#!/pxrpythonsubst # # Copyright 2016 Pixar # # Licensed under the Apache License, Version 2.0 (the "Apache License") # with the following modification; you may not use this file except in # compliance with the Apache License and the following modification to it: # Section 6. Trademarks. is deleted and replaced with: # ...

44.256831

85

0.684159

991

8,099

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0.020327

0.011434

0.050091

0.025771

0.011252

0

0.004056

0.238918

8,099

182

86

44.5

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0

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0

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0

1

0.01087

false

0

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0

0.130435

0.065217

0

null

0

null

0

1

0

e6b3c20df06992b958887a2ed1583c032b8b6295

7,079

py

Python

src/main.py

fbdp1202/pyukf_kinect_body_tracking

c44477149cfc22abfe9121c2604dc284c93fbd42

[ "MIT" ]

7

2020-04-23T06:03:10.000Z

2022-01-16T21:16:23.000Z

src/main.py

fbdp1202/pyukf_kinect_body_tracking

c44477149cfc22abfe9121c2604dc284c93fbd42

[ "MIT" ]

null

src/main.py

fbdp1202/pyukf_kinect_body_tracking

c44477149cfc22abfe9121c2604dc284c93fbd42

[ "MIT" ]

3

2020-07-12T15:07:52.000Z

2021-12-05T09:27:18.000Z

import sys import os sys.path.append('./code/') from skeleton import Skeleton from read_data import * from calibration import Calibration from ukf_filter import ukf_Filter_Controler from canvas import Canvas from regression import * import time from functools import wraps import os def check_time(function): @wraps...

34.198068

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0.759288

1,166

7,079

4.249571

0.127787

0.078708

0.05328

0.066599

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0.456105

0.354188

0.332795

0.302926

0

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7,079

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0

1

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0

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0.035294

0

null

0

null

0

1

0

e6b3d6bc9a4bc463c1dd688594551748653895d4

2,683

py

Python

cfgov/scripts/initial_data.py

Mario-Kart-Felix/cfgov-refresh

7978fedeb7aaf4d96a87720e6545567085e056a9

[ "CC0-1.0" ]

1

2019-12-29T17:50:07.000Z

cfgov/scripts/initial_data.py

ascott1/cfgov-refresh

9c916aaed3a48110a199eb4675474290a51f815d

[ "CC0-1.0" ]

1

2021-04-22T01:09:52.000Z

cfgov/scripts/initial_data.py

ascott1/cfgov-refresh

9c916aaed3a48110a199eb4675474290a51f815d

[ "CC0-1.0" ]

1

2021-02-02T08:59:38.000Z

from __future__ import print_function import json import os from django.conf import settings from django.contrib.auth.hashers import make_password from django.contrib.auth.models import User from wagtail.wagtailcore.models import Page, Site from v1.models import HomePage, BrowseFilterablePage def run(): print(...

34.844156

97

0.666045

327

2,683

5.266055

0.281346

0.083624

0.037747

0.036585

0.213705

0.188153

0.114983

0.084785

0

0.006826

0.235557

2,683

76

98

35.302632

0.832765

0.060007

0

0.135593

0

0.057234

0

1

0.016949

false

0.033898

0.135593

0

0.152542

0.033898

0

null

0

null

0

1

0

e6b40095f02ec8f60d6c2306673d054478953aba

1,456

py

Python

Scripts/compareOutputs.py

harmim/vut-avs-project1

d36e6b5cdebce748d2bdf2afc43950968ecf0a91

[ "MIT" ]

null

Scripts/compareOutputs.py

harmim/vut-avs-project1

d36e6b5cdebce748d2bdf2afc43950968ecf0a91

[ "MIT" ]

null

Scripts/compareOutputs.py

harmim/vut-avs-project1

d36e6b5cdebce748d2bdf2afc43950968ecf0a91

[ "MIT" ]

null

# Simple python3 script to compare output with a reference output. # Usage: python3 compareOutputs.py testOutput.h5 testRefOutput.h5 import sys import h5py import numpy as np if len(sys.argv) != 3: print("Expected two arguments. Output and reference output file.") sys.exit(1) filename = sys.argv[1] ref_filen...

26.472727

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0.666896

239

1,456

3.970711

0.334728

0.044257

0.02529

0.029505

0.101159

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0

0.029094

0.173764

1,456

54

90

26.962963

0.759767

0.087912

0

0.131579

0

0.270943

0

1

0

false

0

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0

0.078947

0.368421

0

null

0

null

0

1

0

e6b741334252c43868c1ae3bb0661b811481f368

1,048

py

Python

src/zvt/recorders/em/meta/em_stockhk_meta_recorder.py

vishalbelsare/zvt

d55051147274c0a4157f08ec60908c781a323c8f

[ "MIT" ]

2,032

2019-04-16T14:10:32.000Z

2022-03-31T12:40:13.000Z

src/zvt/recorders/em/meta/em_stockhk_meta_recorder.py

vishalbelsare/zvt

d55051147274c0a4157f08ec60908c781a323c8f

[ "MIT" ]

162

2019-05-07T09:57:46.000Z

2022-03-25T16:23:08.000Z

src/zvt/recorders/em/meta/em_stockhk_meta_recorder.py

vishalbelsare/zvt

d55051147274c0a4157f08ec60908c781a323c8f

[ "MIT" ]

755

2019-04-30T10:25:16.000Z

2022-03-29T17:50:49.000Z

# -*- coding: utf-8 -*- from zvt.contract.api import df_to_db from zvt.contract.recorder import Recorder from zvt.domain.meta.stockhk_meta import Stockhk from zvt.recorders.em import em_api class EMStockhkRecorder(Recorder): provider = "em" data_schema = Stockhk def run(self): df_south = em_api....

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0

null

0

null

0

1

0

e6b7cb0bb44951e0d2ab9c8433c064285f85c4f7

6,362

py

Python

src/main.py

yanwunhao/auto-mshts

7a4b690bbb6ae55e2f6fad77d176c2c0822db7a0

[ "MIT" ]

null

src/main.py

yanwunhao/auto-mshts

7a4b690bbb6ae55e2f6fad77d176c2c0822db7a0

[ "MIT" ]

null

src/main.py

yanwunhao/auto-mshts

7a4b690bbb6ae55e2f6fad77d176c2c0822db7a0

[ "MIT" ]

null

from util.io import read_setting_json, read_0h_data, read_24h_data, draw_single_curve from util.convert import split_array_into_samples, calculate_avg_of_sample, convert_to_percentage from util.calculus import calculate_summary_of_sample, fit_sigmoid_curve import matplotlib.pyplot as plt import numpy as np import csv ...

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0

null

0

null

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1

0

e6b8a82e6b0282dee965fc93d3c31abaae481d21

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py

Python

twisted/names/root.py

twonds/twisted

d6e270a465d371c3bed01bf369af497b77eb9f1e

[ "Unlicense", "MIT" ]

1

2021-01-27T19:11:21.000Z

twisted/names/root.py

twonds/twisted

d6e270a465d371c3bed01bf369af497b77eb9f1e

[ "Unlicense", "MIT" ]

null

twisted/names/root.py

twonds/twisted

d6e270a465d371c3bed01bf369af497b77eb9f1e

[ "Unlicense", "MIT" ]

3

2017-01-04T01:24:15.000Z

2020-06-18T16:14:56.000Z

# -*- test-case-name: twisted.names.test.test_rootresolve -*- # Copyright (c) 2001-2009 Twisted Matrix Laboratories. # See LICENSE for details. """ Resolver implementation for querying successive authoritative servers to lookup a record, starting from the root nameservers. @author: Jp Calderone todo:: robustify ...

33.989529

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0.138686

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null

0

null

0

1

0

e6b8dc6f73954e378a1c4ed802de05ace9457d1e

2,056

py

Python

tools/apply_colormap_dir.py

edwardyehuang/iDS

36bde3a9e887eb7e1a8d88956cf041909ee84da4

[ "MIT" ]

null

tools/apply_colormap_dir.py

edwardyehuang/iDS

36bde3a9e887eb7e1a8d88956cf041909ee84da4

[ "MIT" ]

null

tools/apply_colormap_dir.py

edwardyehuang/iDS

36bde3a9e887eb7e1a8d88956cf041909ee84da4

[ "MIT" ]

null

# ================================================================ # MIT License # Copyright (c) 2021 edwardyehuang (https://github.com/edwardyehuang) # ================================================================ import os, sys rootpath = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pard...

25.073171

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0

null

0

null

0

1

0

e6b94f55392b1866e86cdeb5f1344d92e8c4dea3

6,007

py

Python

EDScoutCore/JournalInterface.py

bal6765/ed-scout

0c2ee6141a5cd86a660c2319d7c4be61614b13fb

[ "MIT" ]

null

EDScoutCore/JournalInterface.py

bal6765/ed-scout

0c2ee6141a5cd86a660c2319d7c4be61614b13fb

[ "MIT" ]

null

EDScoutCore/JournalInterface.py

bal6765/ed-scout

0c2ee6141a5cd86a660c2319d7c4be61614b13fb

[ "MIT" ]

null

from inspect import signature import json import time import os import glob import logging from pathlib import Path from watchdog.observers import Observer from watchdog.observers.polling import PollingObserver from watchdog.events import PatternMatchingEventHandler from EDScoutCore.FileSystemUpdatePrompter...

34.522989

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6,007

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0.070682

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0.037954

0

0.00234

0.288497

6,007

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165

34.722543

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0

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0

0.078652

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0

1

0.132231

false

0.008264

0.090909

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0.024793

0

null

0

null

0

1

0

e6ba0dc97e3a9015e73a33e1fbadd9852c0606ea

1,355

py

Python

labs-python/lab9/add_files.py

xR86/ml-stuff

2a1b79408897171b78032ff2531ab6f8b18be6c4

[ "MIT" ]

3

2018-12-11T03:03:15.000Z

2020-02-11T19:38:07.000Z

labs-python/lab9/add_files.py

xR86/ml-stuff

2a1b79408897171b78032ff2531ab6f8b18be6c4

[ "MIT" ]

6

2017-05-31T20:58:32.000Z

2021-02-16T23:13:15.000Z

labs-python/lab9/add_files.py

xR86/ml-stuff

2a1b79408897171b78032ff2531ab6f8b18be6c4

[ "MIT" ]

null

import sqlite3 conn = sqlite3.connect('example.db') c = conn.cursor() import os import hashlib import time def get_file_md5(filePath): h = hashlib.md5() h.update(open(filePath,"rb").read()) return h.hexdigest() def get_file_sha256(filePath): h = hashlib.sha256() h.update(open(filePath,"rb").read()) return h....

22.966102

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0.060706

0.059603

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0.143488

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0

0.021496

0.141697

1,355

59

84

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0

0.108108

0

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1

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false

0

0.108108

0

0.243243

0

null

0

null

0

1

0

e6bacf59de7852cf3a5c740a8171a4aa7144b26c

4,083

py

Python

Replication Python and R Codes/Figure_6/cMCA_ESS2018_LABCON_org.py

tzuliu/Contrastive-Multiple-Correspondence-Analysis-cMCA

a59a5c36dd5d4ac04205627827e792322742462d

[ "MIT" ]

3

2020-09-25T07:11:46.000Z

2022-02-08T05:07:34.000Z

Replication Python and R Codes/Figure_6/cMCA_ESS2018_LABCON_org.py

tzuliu/Contrastive-Multiple-Correspondence-Analysis-cMCA

a59a5c36dd5d4ac04205627827e792322742462d

[ "MIT" ]

null

Replication Python and R Codes/Figure_6/cMCA_ESS2018_LABCON_org.py

tzuliu/Contrastive-Multiple-Correspondence-Analysis-cMCA

a59a5c36dd5d4ac04205627827e792322742462d

[ "MIT" ]

1

2021-02-06T16:44:44.000Z

import pandas as pd import numpy as np import matplotlib.pyplot as plt import prince from sklearn import utils from sklearn.cluster import DBSCAN import itertools from cmca import CMCA from ccmca import CCMCA from matplotlib import rc plt.style.use('ggplot') df = pd.read_csv("./uk2018.csv") df["prtclcgb"].replace({5: ...

35.198276

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0.624051

715

4,083

3.384615

0.234965

0.024793

0.042975

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0.090909

0.065289

0

0.060983

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35.504348

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0

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1

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false

0

0.103093

0

0.123711

0.082474

0

null

0

null

0

1

0

e6bb99021b44144da731911de204a7afc66e8789

1,196

py

Python

Solutions/077.py

ruppysuppy/Daily-Coding-Problem-Solutions

37d061215a9af2ce39c51f8816c83039914c0d0b

[ "MIT" ]

70

2021-03-18T05:22:40.000Z

2022-03-30T05:36:50.000Z

Solutions/077.py

ungaro/Daily-Coding-Problem-Solutions

37d061215a9af2ce39c51f8816c83039914c0d0b

[ "MIT" ]

null

Solutions/077.py

ungaro/Daily-Coding-Problem-Solutions

37d061215a9af2ce39c51f8816c83039914c0d0b

[ "MIT" ]

30

2021-03-18T05:22:43.000Z

2022-03-17T10:25:18.000Z

""" Problem: Given a list of possibly overlapping intervals, return a new list of intervals where all overlapping intervals have been merged. The input list is not necessarily ordered in any way. For example, given [(1, 3), (5, 8), (4, 10), (20, 25)], you should return [(1, 3), (4, 10), (20, 25)]. """ from typing i...

26

84

0.622074

173

1,196

4.16763

0.404624

0.104022

0.027739

0.038835

0.231623

0.098474

0.083218

0

0.055677

0.234114

1,196

45

85

26.577778

0.731441

0.296823

0

0.210526

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0.010363

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1

0.052632

false

0

0.052632

0

0.157895

0.105263

0

null

0

null

0

1

0

e6bbb3606fdfbd374577782a243b3f2af19f5e8d

3,163

py

Python

slackbot_wems/chris/slacklib.py

wray/wems

69caedfb8906f04175196d610a1ca516db01f72a

[ "MIT" ]

4

2016-11-10T21:43:01.000Z

2017-02-24T21:36:45.000Z

slackbot_wems/chris/slacklib.py

wray/wems

69caedfb8906f04175196d610a1ca516db01f72a

[ "MIT" ]

1

2019-04-26T10:48:34.000Z

2019-05-18T15:59:35.000Z

slackbot_wems/chris/slacklib.py

wray/wems

69caedfb8906f04175196d610a1ca516db01f72a

[ "MIT" ]

8

2016-11-09T22:25:14.000Z

2019-04-26T19:53:37.000Z

import time import emoji # Put your commands here COMMAND1 = "testing testing" COMMAND2 = "roger roger" BLUEON = str("blue on") BLUEOFF = str("blue off") REDON = str("red on") REDOFF = str("red off") GREENON = str("green on") GREENOFF = str("green off") YELLOWON = str("yellow on") YELLOWOFF = str("yellow off") CL...

26.140496

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0.607651

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3,163

4.736973

0.290323

0.080671

0.102148

0.113148

0.223153

0.116291

0

0.019442

0.251976

3,163

120

89

26.358333

0.787405

0.095163

0

0.184043

0

1

0.025974

false

0

0.064935

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0.103896

0.064935

0

null

0

null

0

1

0

e6bde93bee8b10728e74b15763f724d08484c86a

4,640

py

Python

homeassistant/components/tasmota/discovery.py

yura505/core

0fc5f4b0421c6c5204d3ccb562153ac3836441a9

[ "Apache-2.0" ]

null

homeassistant/components/tasmota/discovery.py

yura505/core

0fc5f4b0421c6c5204d3ccb562153ac3836441a9

[ "Apache-2.0" ]

null

homeassistant/components/tasmota/discovery.py

yura505/core

0fc5f4b0421c6c5204d3ccb562153ac3836441a9

[ "Apache-2.0" ]

null

"""Support for MQTT discovery.""" import asyncio import logging from hatasmota.discovery import ( TasmotaDiscovery, get_device_config as tasmota_get_device_config, get_entities_for_platform as tasmota_get_entities_for_platform, get_entity as tasmota_get_entity, has_entities_with_platform as tasmota...

37.419355

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0.694612

525

4,640

5.727619

0.182857

0.073495

0.02993

0.372132

0.227802

0.08979

0.035916

0

0.236207

4,640

123

89

37.723577

0.848476

0.031897

0

0.122222

0

0.079082

0.042208

0

1

0.022222

false

0

0.066667

0

0.111111

0

null

0

null

0

1

0

e6be7a1b7add8b9481d98005ea50f939d83dd351

15,696

py

Python

tfx/components/infra_validator/executor.py

TimoKerr/tfx

10d13d57eeac21514fed73118cb43464dada67f1

[ "Apache-2.0" ]

1

2021-05-10T10:41:06.000Z

tfx/components/infra_validator/executor.py

TimoKerr/tfx

10d13d57eeac21514fed73118cb43464dada67f1

[ "Apache-2.0" ]

null

tfx/components/infra_validator/executor.py

TimoKerr/tfx

10d13d57eeac21514fed73118cb43464dada67f1

[ "Apache-2.0" ]

null

# Copyright 2019 Google LLC. 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 a...

39.24

83

0.73248

1,952

15,696

5.627049

0.215676

0.031136

0.025492

0.021031

0.31819

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0.193645

0.165696

0.122178

0.093955

0

0.003496

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84

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0.869289

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0

0.238636

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0

0.002506

0

1

0.056818

false

0.015152

0.121212

0

0.215909

0

null

0

null

0

1

0

e6bfbff8f4c4eb14d73dd394e1c8390a8c552bf9

18,474

py

Python

metr-la/model/Double_C_STTN.py

happys2333/DL-2021-fall

e110d737d1a70c8238f2de3278e6aebce07c7a66

[ "Apache-2.0" ]

1

2022-02-11T12:24:08.000Z

metr-la/model/Double_C_STTN.py

happys2333/DL-2021-fall

e110d737d1a70c8238f2de3278e6aebce07c7a66

[ "Apache-2.0" ]

null

metr-la/model/Double_C_STTN.py

happys2333/DL-2021-fall

e110d737d1a70c8238f2de3278e6aebce07c7a66

[ "Apache-2.0" ]

null

# from folder workMETRLA # MODEL CODE # -*- coding: utf-8 -*- """ Created on Mon Sep 28 10:28:06 2020 @author: wb """ import torch import torch.nn as nn import math # from GCN_models import GCN # from One_hot_encoder import One_hot_encoder import torch.nn.functional as F import numpy as np from sc...

36.654762

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0.440758

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0

0.019945

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229

36.727634

0.769608

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0.074324

false

0

0.033784

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0.010135

0

null

0

null

0

1

0

e6c52e70a50ff76dae5fa9533aa70b45708e60ab

19,221

py

Python

bin/train_vit.py

ramizdundar/Chexpert

6a5f005f1df421538182ad8497725b78e6de29be

[ "Apache-2.0" ]

null

bin/train_vit.py

ramizdundar/Chexpert

6a5f005f1df421538182ad8497725b78e6de29be

[ "Apache-2.0" ]

null

bin/train_vit.py

ramizdundar/Chexpert

6a5f005f1df421538182ad8497725b78e6de29be

[ "Apache-2.0" ]

null

import sys import os import argparse import logging import json import time import subprocess from shutil import copyfile import numpy as np from sklearn import metrics from easydict import EasyDict as edict import torch from torch.utils.data import DataLoader import torch.nn.functional as F from torch.nn import DataP...

38.908907

78

0.542115

2,370

19,221

4.157806

0.121519

0.029836

0.018977

0.025878

0.594682

0.56779

0.532068

0.500812

0.484981

0.452202

0

0.007144

0.32272

19,221

493

79

38.98783

0.749808

0.006867

0

0.49409

0

0.115625

0

0.002364

1

0.01182

false

0

0.052009

0

0.070922

0.007092

0

null

0

null

0

1

0

e6c580f84de62db4b9d20acb6cce98ce88761586

262

py

Python

Sets/the capaint s room.py

AndreasGeiger/hackerrank-python

a436c207e62b32f70a6b4279bb641a3c4d90e112

[ "MIT" ]

null

Sets/the capaint s room.py

AndreasGeiger/hackerrank-python

a436c207e62b32f70a6b4279bb641a3c4d90e112

[ "MIT" ]

null

Sets/the capaint s room.py

AndreasGeiger/hackerrank-python

a436c207e62b32f70a6b4279bb641a3c4d90e112

[ "MIT" ]

null

groupSize = input() groups = list(map(int,input().split(' '))) tmpArray1 = set() tmpArray2 = set() for i in groups: if i in tmpArray1: tmpArray2.discard(i) else: tmpArray1.add(i) tmpArray2.add(i) for i in tmpArray2: print(i)

18.714286

42

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36

262

4.388889

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0

0.035897

0.255725

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13

43

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0.774359

0

0.003817

0

1

0

false

0

0.083333

0

null

0

null

0

1

0

e6c6e8aaf6429afdb1edbeda8513d241f632fc14

6,867

py

Python

src/oictest/setup.py

rohe/oictest

f6f0800220befd5983b8cb34a5c984f98855d089

[ "Apache-2.0" ]

32

2015-01-02T20:15:17.000Z

2020-02-15T20:46:25.000Z

src/oictest/setup.py

rohe/oictest

f6f0800220befd5983b8cb34a5c984f98855d089

[ "Apache-2.0" ]

8

2015-02-23T19:48:53.000Z

2016-01-20T08:24:05.000Z

src/oictest/setup.py

rohe/oictest

f6f0800220befd5983b8cb34a5c984f98855d089

[ "Apache-2.0" ]

17

2015-01-02T20:15:22.000Z

2022-03-22T22:58:28.000Z

import copy import json from oic.utils.authn.client import CLIENT_AUTHN_METHOD from oic.utils.keyio import KeyJar from oic.utils.keyio import KeyBundle __author__ = 'roland' import logging logger = logging.getLogger(__name__) class OIDCError(Exception): pass def flow2sequence(operations, item): flow = o...

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null

0

null

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1

0

e6c8040bae19150daa4afa3909164f31bd76f5c3

2,696

py

Python

HLTrigger/Configuration/python/HLT_75e33/modules/hltPFPuppiNoLep_cfi.py

PKUfudawei/cmssw

8fbb5ce74398269c8a32956d7c7943766770c093

[ "Apache-2.0" ]

1

2021-11-30T16:24:46.000Z

HLTrigger/Configuration/python/HLT_75e33/modules/hltPFPuppiNoLep_cfi.py

PKUfudawei/cmssw

8fbb5ce74398269c8a32956d7c7943766770c093

[ "Apache-2.0" ]

4

2021-11-29T13:57:56.000Z

2022-03-29T06:28:36.000Z

HLTrigger/Configuration/python/HLT_75e33/modules/hltPFPuppiNoLep_cfi.py

PKUfudawei/cmssw

8fbb5ce74398269c8a32956d7c7943766770c093

[ "Apache-2.0" ]

1

2021-11-30T16:16:05.000Z

import FWCore.ParameterSet.Config as cms hltPFPuppiNoLep = cms.EDProducer("PuppiProducer", DeltaZCut = cms.double(0.1), DeltaZCutForChargedFromPUVtxs = cms.double(0.2), EtaMaxCharged = cms.double(99999.0), EtaMaxPhotons = cms.double(2.5), EtaMinUseDeltaZ = cms.double(-1.0), MinPuppiWeight = cms...

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null

0

null

0

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0

e6c97a9ee684956ae509733d7e8dff568dd9da66

623

py

Python

hpotter/src/lazy_init.py

LarsenClose/dr.hpotter

ef6199ab563a92f3e4916277dbde9217126f36a9

[ "MIT" ]

1

2021-08-15T09:24:20.000Z

hpotter/src/lazy_init.py

LarsenClose/dr.hpotter

ef6199ab563a92f3e4916277dbde9217126f36a9

[ "MIT" ]

18

2021-02-01T21:58:20.000Z

2021-05-24T17:10:25.000Z

hpotter/src/lazy_init.py

LarsenClose/dr.hpotter

ef6199ab563a92f3e4916277dbde9217126f36a9

[ "MIT" ]

1

2021-06-19T12:49:54.000Z

''' Wrap an __init__ function so that I don't have to assign all the parameters to a self. variable. ''' # https://stackoverflow.com/questions/5048329/python-decorator-for-automatic-binding-init-arguments import inspect from functools import wraps def lazy_init(init): ''' Create an annotation to assign all the p...

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null

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e6cb19760623f02a584f4187adb3490f5de6005b

781

py

Python

main.py

technojam/MLian

7632c5c7d4c44b1d87de9ab23c1ed7293962ca49

[ "MIT" ]

1

2021-12-18T19:54:45.000Z

main.py

technojam/MLian

7632c5c7d4c44b1d87de9ab23c1ed7293962ca49

[ "MIT" ]

2

2021-12-18T19:50:08.000Z

2021-12-18T19:52:20.000Z

main.py

technojam/MLian

7632c5c7d4c44b1d87de9ab23c1ed7293962ca49

[ "MIT" ]

1

2022-03-01T14:13:27.000Z

# def register_feed(): import os import cv2 path = '/UserImage' cam = cv2.VideoCapture(0) name=input("Name: ") cv2.namedWindow("test") img_counter = 0 while True: ret, frame = cam.read() if not ret: print("failed to grab frame") break else: cv2.imshow("test", frame) k = c...

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0

null

0

null

0

1

0

e6cb563badebdde1d425f141d7f04f5b497ea2ae

2,643

py

Python

models/train.py

Hiwyl/keras_cnn_finetune

f424302a72c8d05056a9af6f9b293003acb8398d

[ "MIT" ]

1

2019-09-30T01:07:03.000Z

models/train.py

Hiwyl/keras_cnn_finetune

f424302a72c8d05056a9af6f9b293003acb8398d

[ "MIT" ]

null

models/train.py

Hiwyl/keras_cnn_finetune

f424302a72c8d05056a9af6f9b293003acb8398d

[ "MIT" ]

null

# -*- encoding: utf-8 -*- ''' @Author : lance @Email : wangyl306@163.com ''' import time from model_cx.inceptionresnet import inceptionresnet from model_cx.vgg19two import vgg19_all_lr from model_cx.inceptionv3 import inceptionv3 from model_cx.densenet import densenet from model_cx.nasnet import nas...

31.094118

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0.589387

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0.541377

0.481996

0

0.035024

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0.268293

0.243902

0

null

0

null

0

1

0

e6cb633a5c540a02c577994bd8b8eebe64755249

3,275

py

Python

src/probnum/randprocs/markov/integrator/_preconditioner.py

alpiges/probnum

2e4153cb0df559984e09ec74487ef6c9d3f6d464

[ "MIT" ]

null

src/probnum/randprocs/markov/integrator/_preconditioner.py

alpiges/probnum

2e4153cb0df559984e09ec74487ef6c9d3f6d464

[ "MIT" ]

40

2021-04-12T07:56:29.000Z

2022-03-28T00:18:18.000Z

src/probnum/randprocs/markov/integrator/_preconditioner.py

alpiges/probnum

2e4153cb0df559984e09ec74487ef6c9d3f6d464

[ "MIT" ]

null

"""Coordinate changes in state space models.""" import abc try: # cached_property is only available in Python >=3.8 from functools import cached_property except ImportError: from cached_property import cached_property import numpy as np import scipy.special # for vectorised factorial from probnum impor...

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0

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0.428571

0

null

0

null

0

1

0

e6cc468eac9d6881bb54cbc2d585ee21f2641f3f

2,345

py

Python

allauth/socialaccount/providers/linkedin/provider.py

mina-gaid/scp

38e1cd303d4728a987df117f666ce194e241ed1a

[ "MIT" ]

1

2018-04-06T21:36:59.000Z

allauth/socialaccount/providers/linkedin/provider.py

mina-gaid/scp

38e1cd303d4728a987df117f666ce194e241ed1a

[ "MIT" ]

6

2020-06-05T18:44:19.000Z

2022-01-13T00:48:56.000Z

allauth/socialaccount/providers/linkedin/provider.py

mina-gaid/scp

38e1cd303d4728a987df117f666ce194e241ed1a

[ "MIT" ]

1

2022-02-01T17:19:28.000Z

from allauth.socialaccount import providers from allauth.socialaccount.providers.base import ProviderAccount from allauth.socialaccount.providers.oauth.provider import OAuthProvider from allauth.socialaccount import app_settings class LinkedInAccount(ProviderAccount): def get_profile_url(self): return se...

34.485294

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5.179389

0.274809

0.051584

0.082535

0.103169

0.181282

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0.06927

0

0.301066

2,345

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79

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0

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0

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0.14

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0.02

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0.06

0.48

0

null

0

null

0

1

0

e6ccbdf212404d1bb840cdf710923204e7c1baa5

4,744

py

Python

game2048/myNew.py

CCTQL/2048-api

a75316a90e9a7c8c9171e39e1d1fc24cbac3ba1a

[ "Apache-2.0" ]

null

game2048/myNew.py

CCTQL/2048-api

a75316a90e9a7c8c9171e39e1d1fc24cbac3ba1a

[ "Apache-2.0" ]

null

game2048/myNew.py

CCTQL/2048-api

a75316a90e9a7c8c9171e39e1d1fc24cbac3ba1a

[ "Apache-2.0" ]

null

import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from torchvision import datasets from torch.autograd import Variable from sklearn.model_selection import train_test_split import time import pandas as pd import numpy as np import csv batch_size = 128 NUM_EPOC...

27.421965

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4,744

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0.025453

0.020825

0.378326

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0.271886

0

0.055006

0.275717

4,744

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88

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0.086847

0

0.344

0

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0

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0.128

0.024

0

null

0

null

0

1

0

e6cda14ca91ba1556d929a926bfc87a16ab1f726

371

py

Python

tests/test_arr_add_value.py

dboyliao/TaipeiPy-pybind11-buffer-array

22e764d9fbf605950c0de10e3a341de36bc9bf89

[ "MIT" ]

1

2022-03-17T10:01:45.000Z

tests/test_arr_add_value.py

dboyliao/TaipeiPy-pybind11-buffer-array

22e764d9fbf605950c0de10e3a341de36bc9bf89

[ "MIT" ]

null

tests/test_arr_add_value.py

dboyliao/TaipeiPy-pybind11-buffer-array

22e764d9fbf605950c0de10e3a341de36bc9bf89

[ "MIT" ]

null

import numpy as np import mylib def test_arr_add_value(): for _ in range(10): shape = np.random.randint(1, 10, size=np.random.randint(3, 10)).tolist() in_arr = np.random.rand(*shape).astype(np.double) ok = np.allclose(mylib.array_add_value(in_arr, np.pi), in_arr + np.pi) if not ok...

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81

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0

0.333333

0

null

0

null

0

1

0

e6cea1b013c7155bc06629fbf31e017bbe14f52f

658

py

Python

tests/test_units/test_mapper_str.py

frewsxcv/routes

7690fc1016e56739855435fb54c96acccfa29009

[ "MIT" ]

1

2015-11-08T12:58:16.000Z

tests/test_units/test_mapper_str.py

frewsxcv/routes

7690fc1016e56739855435fb54c96acccfa29009

[ "MIT" ]

null

tests/test_units/test_mapper_str.py

frewsxcv/routes

7690fc1016e56739855435fb54c96acccfa29009

[ "MIT" ]

null

import unittest from routes import Mapper class TestMapperStr(unittest.TestCase): def test_str(self): m = Mapper() m.connect('/{controller}/{action}') m.connect('entries', '/entries', controller='entry', action='index') m.connect('entry', '/entries/{id}', controller='entry',...

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0.111111

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0

0.273556

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18

92

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0.790795

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0.066667

false

0

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0

0.266667

0

null

0

null

0

1

0

e6cfd0714854720779418d4a80b8997e25e611e3

3,227

py

Python

python-function-files-dictionaries/week4-assignment1.py

MauMendes/python3-programming-specialization

8bd259f0ac559c6004baa0e759b6ec4bc25e1320

[ "MIT" ]

null

python-function-files-dictionaries/week4-assignment1.py

MauMendes/python3-programming-specialization

8bd259f0ac559c6004baa0e759b6ec4bc25e1320

[ "MIT" ]

null

python-function-files-dictionaries/week4-assignment1.py

MauMendes/python3-programming-specialization

8bd259f0ac559c6004baa0e759b6ec4bc25e1320

[ "MIT" ]

null

#1) Write a function, sublist, that takes in a list of numbers as the parameter. In the function, use a while loop to return a sublist of the input list. # The sublist should contain the same values of the original list up until it reaches the number 5 (it should not contain the number 5). def sublist(input_lst): ...

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0.089552

0

null

0

null

0

1

0

e6d14bad54d6d5d7401435412b7045fd99c1fc0a

25,605

py

Python

saas/backend/apps/group/views.py

Canway-shiisa/bk-iam-saas

73c3770d9647c9cc8d515427cd1d053d8af9d071

[ "MIT" ]

null

saas/backend/apps/group/views.py

Canway-shiisa/bk-iam-saas

73c3770d9647c9cc8d515427cd1d053d8af9d071

[ "MIT" ]

null

saas/backend/apps/group/views.py

Canway-shiisa/bk-iam-saas

73c3770d9647c9cc8d515427cd1d053d8af9d071

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-权限中心(BlueKing-IAM) available. Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with th...

36.216407

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25,605

6.251545

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0.294821

0

null

0

null

0

1

0

e6d16a8a093216b78956e0c3642e48c0a64c8778

5,188

py

Python

towers.py

fillest/7drl2013

96d291dce08a85d3871713c99f3a036de482d6ca

[ "MIT" ]

1

2015-05-19T08:12:49.000Z

towers.py

fillest/7drl2013

96d291dce08a85d3871713c99f3a036de482d6ca

[ "MIT" ]

null

towers.py

fillest/7drl2013

96d291dce08a85d3871713c99f3a036de482d6ca

[ "MIT" ]

null

import util import libtcodpy as tcod import enemies import operator class Missile (util.Entity): sym = '*' color = tcod.white class BasicMissile (Missile): color = tcod.yellow class IceMissile (Missile): color = tcod.light_blue class AoeMissile (Missile): color = tcod.red class Building (util.Entity): sym ...

24.018519

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0.664418

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5,188

4.168329

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0.069997

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0.021538

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0.189949

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24.130233

0.790524

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false

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0.445122

0

null

0

null

0

1

0

e6d351ce6a88251c74a7d12532c34a2b0ba6f8b1

795

py

Python

python/mandelbrot.py

lukasjoc/random

5be080b424f02491fb219634902fc0cc192aff6c

[ "0BSD" ]

1

2020-11-09T19:32:43.000Z

python/mandelbrot.py

lukasjoc/random

5be080b424f02491fb219634902fc0cc192aff6c

[ "0BSD" ]

null

python/mandelbrot.py

lukasjoc/random

5be080b424f02491fb219634902fc0cc192aff6c

[ "0BSD" ]

null

#!/usr/bin/python3 from PIL import Image from numpy import complex, array from tqdm import tqdm import colorsys W=512 #W=142 def mandelbrot(x, y): def get_colors(i): color = 255 * array(colorsys.hsv_to_rgb(i / 255.0, 1.0, 0.5)) return tuple(color.astype(int)) c, cc = 0, complex(x, y) fo...

22.714286

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795

34

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false

0

0.16

0

0.36

0

null

0

null

0

1

0

e6d3938d66694895ff110b11b2560698b6722338

9,672

py

Python

tests/unit/commands/test_deploy.py

tonyreina/mlt

ee490ebdeb5aa6924dbfc0a067a0653754c470f4

[ "Apache-2.0" ]

1

2021-11-29T10:35:20.000Z

tests/unit/commands/test_deploy.py

tonyreina/mlt

ee490ebdeb5aa6924dbfc0a067a0653754c470f4

[ "Apache-2.0" ]

null

tests/unit/commands/test_deploy.py

tonyreina/mlt

ee490ebdeb5aa6924dbfc0a067a0653754c470f4

[ "Apache-2.0" ]

1

2020-02-22T01:04:15.000Z

# # -*- coding: utf-8 -*- # # Copyright (c) 2018 Intel Corporation # # 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 app...

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false

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0.010256

0

null

0

null

0

1

0

e6d61cff66c7d3846169dfff6eca952a90b72ddd

1,940

py

Python

packages/mccomponents/tests/mccomponentsbpmodule/sample/Broadened_E_Q_Kernel_TestCase.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

5

2017-01-16T03:59:47.000Z

2020-06-23T02:54:19.000Z

packages/mccomponents/tests/mccomponentsbpmodule/sample/Broadened_E_Q_Kernel_TestCase.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

293

2015-10-29T17:45:52.000Z

2022-01-07T16:31:09.000Z

packages/mccomponents/tests/mccomponentsbpmodule/sample/Broadened_E_Q_Kernel_TestCase.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

1

2019-05-25T00:53:31.000Z

#!/usr/bin/env python # # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # # Jiao Lin # California Institute of Technology # (C) 2006-2010 All Rights Reserved # # {LicenseText} # # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~...

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e6d751bc3f23bc91c2716777ca9ac12139d4b799

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py

Python

Model_setup/NEISO_data_file/downsampling_generators_v1.py

keremakdemir/ISONE_UCED

11ce34c5ac5d34dcab771640f41c0d2ce4ab21f9

[ "MIT" ]

null

Model_setup/NEISO_data_file/downsampling_generators_v1.py

keremakdemir/ISONE_UCED

11ce34c5ac5d34dcab771640f41c0d2ce4ab21f9

[ "MIT" ]

null

Model_setup/NEISO_data_file/downsampling_generators_v1.py

keremakdemir/ISONE_UCED

11ce34c5ac5d34dcab771640f41c0d2ce4ab21f9

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Apr 24 18:45:34 2020 @author: kakdemi """ import pandas as pd #importing generators all_generators = pd.read_excel('generators2.xlsx', sheet_name='NEISO generators (dispatch)') #getting all oil generators all_oil = all_generators[all_generators['typ']=='oil'].copy() #gett...

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e6d7ef175de941485b4682919229774de09d58bb

307

py

Python

GUI1.py

otmanabdoun/IHM-Python

624e961c2f6966b98bf2c1bc4dd276b812954ba1

[ "Apache-2.0" ]

3

2021-12-08T10:34:55.000Z

2022-01-17T21:02:40.000Z

GUI1.py

otmanabdoun/IHM-Python

624e961c2f6966b98bf2c1bc4dd276b812954ba1

[ "Apache-2.0" ]

null

GUI1.py

otmanabdoun/IHM-Python

624e961c2f6966b98bf2c1bc4dd276b812954ba1

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Nov 16 19:47:41 2021 @author: User """ import tkinter as tk racine = tk . Tk () label = tk . Label ( racine , text ="J ' adore Python !") bouton = tk . Button ( racine , text =" Quitter ", command = racine . destroy ) label . pack () bouton . pack ()

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e6d83253f8c1c21cef502fbe86bb43dc1f2be4ac

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py

Python

app/routes/v1/endpoints/clickup.py

ertyurk/bugme

5a3ef3e089e0089055074c1c896c3fdc76600e93

[ "MIT" ]

null

app/routes/v1/endpoints/clickup.py

ertyurk/bugme

5a3ef3e089e0089055074c1c896c3fdc76600e93

[ "MIT" ]

null

app/routes/v1/endpoints/clickup.py

ertyurk/bugme

5a3ef3e089e0089055074c1c896c3fdc76600e93

[ "MIT" ]

null

from fastapi import APIRouter, status, Body, HTTPException from fastapi.encoders import jsonable_encoder from starlette.responses import JSONResponse from app.models.common import * from app.models.clickup import * from app.database.crud.clickup import * router = APIRouter() @router.get("/", response_description="C...

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null

0

null

0

1

0

e6d9219a9f3da8435460a41632a908023dbaa338

2,668

py

Python

cellfinder_core/main.py

npeschke/cellfinder-core

7a86a7d2c879c94da529ec6140f7e5c3f02bf288

[ "BSD-3-Clause" ]

5

2021-01-22T11:40:01.000Z

2021-09-10T07:16:05.000Z

cellfinder_core/main.py

npeschke/cellfinder-core

7a86a7d2c879c94da529ec6140f7e5c3f02bf288

[ "BSD-3-Clause" ]

38

2021-01-22T11:50:29.000Z

2022-03-11T11:04:06.000Z

cellfinder_core/main.py

npeschke/cellfinder-core

7a86a7d2c879c94da529ec6140f7e5c3f02bf288

[ "BSD-3-Clause" ]

12

2021-06-18T09:57:24.000Z

2022-03-06T13:03:18.000Z

""" N.B imports are within functions to prevent tensorflow being imported before it's warnings are silenced """ import os import logging from imlib.general.logging import suppress_specific_logs tf_suppress_log_messages = [ "multiprocessing can interact badly with TensorFlow" ] def main( signal_array, ba...

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0

null

0

null

0

1

0

e6d9b9257b4bb7dd1463fcb578829bc893311e39

1,378

py

Python

server.py

rezist-ro/rezistenta.tv

0c0dfa4842061baf2b575688588c5d77cfdba427

[ "MIT" ]

null

server.py

rezist-ro/rezistenta.tv

0c0dfa4842061baf2b575688588c5d77cfdba427

[ "MIT" ]

null

server.py

rezist-ro/rezistenta.tv

0c0dfa4842061baf2b575688588c5d77cfdba427

[ "MIT" ]

null

# coding=utf-8 import dateutil.parser import flask import json import os import time import urllib import yaml EPISODES = yaml.load(open("episodes.yaml").read()) app = flask.Flask(__name__, static_path="/assets", static_folder="assets") app.jinja_env.filters["strftime"] = \ ...

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null

0

null

0

1

0

e6dce6f716b933d2a36c1e77462d5b0eb2326793

5,449

py

Python

transformer.py

ghafran/KerasPersonLab

fcd80b62247aee8bd1d41ff91e31c822950f561e

[ "MIT" ]

null

transformer.py

ghafran/KerasPersonLab

fcd80b62247aee8bd1d41ff91e31c822950f561e

[ "MIT" ]

null

transformer.py

ghafran/KerasPersonLab

fcd80b62247aee8bd1d41ff91e31c822950f561e

[ "MIT" ]

null

import numpy as np from math import cos, sin, pi import cv2 import random from config import config, TransformationParams from data_prep import map_coco_to_personlab class AugmentSelection: def __init__(self, flip=False, degree = 0., crop = (0,0), scale = 1.): self.flip = flip self.degree = degre...

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null

0

null

0

1

0

e6dee5544a49eb20feb56cbcfdbdf81cda6aae63

10,859

py

Python

NLP/UNIMO/src/finetune/visual_entailment.py

zhangyimi/Research

866f91d9774a38d205d6e9a3b1ee6293748261b3

[ "Apache-2.0" ]

1,319

2020-02-14T10:42:07.000Z

2022-03-31T15:42:18.000Z

NLP/UNIMO/src/finetune/visual_entailment.py

green9989/Research

94519a72e7936c77f62a31709634b72c09aabf74

[ "Apache-2.0" ]

192

2020-02-14T02:53:34.000Z

2022-03-31T02:25:48.000Z

NLP/UNIMO/src/finetune/visual_entailment.py

green9989/Research

94519a72e7936c77f62a31709634b72c09aabf74

[ "Apache-2.0" ]

720

2020-02-14T02:12:38.000Z

2022-03-31T12:21:15.000Z

# Copyright (c) 2021 PaddlePaddle Authors. 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 app...

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null

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null

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1

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e6df6e5deaed8c701c0957596bd842d1b7c2b65f

923

py

Python

leetcode/102-Medium-Binary-Tree-Level-Order-Traversal/answer.py

vaishali-bariwal/Practice-Coding-Questions

747bfcb1cb2be5340daa745f2b9938f0ee87c9ac

[ "Unlicense" ]

25

2018-05-22T15:18:50.000Z

2022-01-08T02:41:46.000Z

leetcode/102-Medium-Binary-Tree-Level-Order-Traversal/answer.py

vaishali-bariwal/Practice-Coding-Questions

747bfcb1cb2be5340daa745f2b9938f0ee87c9ac

[ "Unlicense" ]

1

2019-05-24T16:55:27.000Z

leetcode/102-Medium-Binary-Tree-Level-Order-Traversal/answer.py

vaishali-bariwal/Practice-Coding-Questions

747bfcb1cb2be5340daa745f2b9938f0ee87c9ac

[ "Unlicense" ]

18

2018-09-20T15:39:26.000Z

2022-03-02T21:38:22.000Z

#!/usr/bin/python3 #------------------------------------------------------------------------------ # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def levelOrder(self, root): ...

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null

0

null

0

1

0

e6e0a15a9ec84da1c3d497af8bd4ec8d117edbbd

4,291

py

Python

sparsely_lstmvae_main.py

pengkangzaia/usad

937a29c24632cfa31e0c626cd5b058b3af74ef94

[ "BSD-3-Clause" ]

null

sparsely_lstmvae_main.py

pengkangzaia/usad

937a29c24632cfa31e0c626cd5b058b3af74ef94

[ "BSD-3-Clause" ]

null

sparsely_lstmvae_main.py

pengkangzaia/usad

937a29c24632cfa31e0c626cd5b058b3af74ef94

[ "BSD-3-Clause" ]

null

from model.sparsely_lstm_vae import * import torch.utils.data as data_utils from sklearn import preprocessing from utils.eval_methods import * device = get_default_device() # Read data # normal = pd.read_csv("data/SWaT_Dataset_Normal_v1.csv") # , nrows=1000) normal = pd.read_csv("data/SWaT/SWaT_Dataset_Normal_v1.csv...

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null

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1

0

e6e20c3e769f1a5e89011c872f7f4c1dc10d94e8

542

py

Python

src/demo/tasks.py

MexsonFernandes/AsynchronousTasks-Django-Celery-RabbitMQ-Redis

b64b31cec4ccf8e0dca2cfe9faba40da647b94f7

[ "Apache-2.0" ]

1

2019-01-17T09:16:06.000Z

src/demo/tasks.py

MexsonFernandes/Asynchronous_Tasks-Django-Celery-RabbitMQ-Redis

b64b31cec4ccf8e0dca2cfe9faba40da647b94f7

[ "Apache-2.0" ]

7

2019-10-20T18:47:34.000Z

2022-02-10T07:42:18.000Z

src/demo/tasks.py

MexsonFernandes/AsynchronousTasks-Django-Celery-RabbitMQ-Redis

b64b31cec4ccf8e0dca2cfe9faba40da647b94f7

[ "Apache-2.0" ]

2

2019-10-20T18:47:59.000Z

2022-03-02T12:31:54.000Z

from __future__ import absolute_import, unicode_literals from dcs.celeryconf import app import time from django.core.mail import EmailMessage @app.task(bind=True, ignore_result=False, max_retries=3) def demo_task1(self): result = { 'val1': 1, 'val2': 2, 'val3': 3, } print("hellp") ...

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null

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null

0

1

0

e6e829827c4e2ffcbb07be400f025860fb9ae813

10,409

py

Python

keras/models.py

kalyc/keras-apache-mxnet

5497ebd50a45ccc446b8944ebbe11fb7721a5533

[ "MIT" ]

300

2018-04-04T05:01:21.000Z

2022-02-25T18:56:04.000Z

keras/models.py

kalyc/keras-apache-mxnet

5497ebd50a45ccc446b8944ebbe11fb7721a5533

[ "MIT" ]

163

2018-04-03T17:41:22.000Z

2021-09-03T16:44:04.000Z

keras/models.py

kalyc/keras-apache-mxnet

5497ebd50a45ccc446b8944ebbe11fb7721a5533

[ "MIT" ]

72

2018-04-21T06:42:30.000Z

2021-12-26T06:02:42.000Z

"""Model-related utilities. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from . import backend as K from .utils.generic_utils import has_arg from .utils.generic_utils import to_list from .engine.input_layer import Input from .engine.input_layer import...

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e6e86dd990b3c5cac611e5ac9c031855b2eafefb

2,223

py

Python

mmgp/kernels/wavelet_slice.py

axdahl/SC-MMGP

c6cd9d9de66bb7074925a4b6485f10a74bdd9f68

[ "Apache-2.0" ]

null

mmgp/kernels/wavelet_slice.py

axdahl/SC-MMGP

c6cd9d9de66bb7074925a4b6485f10a74bdd9f68

[ "Apache-2.0" ]

null

mmgp/kernels/wavelet_slice.py

axdahl/SC-MMGP

c6cd9d9de66bb7074925a4b6485f10a74bdd9f68

[ "Apache-2.0" ]

null

''' Wavelet kernel slice allows kernel operation on feature subset active_dims is iterable of feature dimensions to extract input_dim must equal dimension defined by active_dims ''' import numpy as np import tensorflow as tf from .. import util from . import kernel from .kernel_extras import * class WaveletSlice(ke...

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null

0

null

0

1

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e6e91782ecbf3d082de6c4e80c1d94b9a36175e3

8,084

py

Python

transform.py

latenite4/python3

30e367471ba48e5fc0fb07327b636fcb9959e3e0

[ "Apache-2.0" ]

null

transform.py

latenite4/python3

30e367471ba48e5fc0fb07327b636fcb9959e3e0

[ "Apache-2.0" ]

null

transform.py

latenite4/python3

30e367471ba48e5fc0fb07327b636fcb9959e3e0

[ "Apache-2.0" ]

null

#!/usr/bin/python3 #program to parse png images and change images # cmd: python3 transform.py # you must have local input/ and output/ directories # # name: R. Melton # date: 12/27/20 # cmdline: python transform.py cmd show image='city.png' --ulx=1 --uly=2 --brx=0 --bry=9 # python transform.py show city.png #...

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null

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1

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e6e98c6da8123831026901d34d51a2a66f9be3c8

4,563

py

Python

plugins/wyr.py

Jeglet/pcbot

89178d4982151adb2fadfacdc3080e46cda9e891

[ "MIT" ]

null

plugins/wyr.py

Jeglet/pcbot

89178d4982151adb2fadfacdc3080e46cda9e891

[ "MIT" ]

null

plugins/wyr.py

Jeglet/pcbot

89178d4982151adb2fadfacdc3080e46cda9e891

[ "MIT" ]

null

""" Would you rather? This plugin includes would you rather functionality """ import asyncio import random import re import discord import bot import plugins from pcbot import Config client = plugins.client # type: bot.Client db = Config("would-you-rather", data=dict(timeout=10, responses=["**{name}** would **{cho...

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4,563

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0.2

0

null

0

null

0

1

0

e6e9911a23d6bd5acc93e8e6fe7c90d813721358

5,690

py

Python

suit_tool/argparser.py

bergzand/suit-manifest-generator

da82651a8b02fd4d7261e826cc70b5c862dd94ea

[ "Apache-2.0" ]

16

2018-03-16T23:56:47.000Z

2022-01-23T14:14:09.000Z

suit_tool/argparser.py

bergzand/suit-manifest-generator

da82651a8b02fd4d7261e826cc70b5c862dd94ea

[ "Apache-2.0" ]

23

2018-06-05T14:30:23.000Z

2021-02-15T20:53:09.000Z

suit_tool/argparser.py

bergzand/suit-manifest-generator

da82651a8b02fd4d7261e826cc70b5c862dd94ea

[ "Apache-2.0" ]

10

2018-03-16T23:56:52.000Z

2020-07-21T16:36:46.000Z

# -*- coding: utf-8 -*- # ---------------------------------------------------------------------------- # Copyright 2019-2020 ARM Limited or its affiliates # # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the...

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null

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e6e9b0500db4a76f7cfddf89a8acd023b1673bdb

437

py

Python

python/process/process_pool.py

y2ghost/study

c5278611b0a732fe19e3d805c0c079e530b1d3b2

[ "MIT" ]

null

python/process/process_pool.py

y2ghost/study

c5278611b0a732fe19e3d805c0c079e530b1d3b2

[ "MIT" ]

null

python/process/process_pool.py

y2ghost/study

c5278611b0a732fe19e3d805c0c079e530b1d3b2

[ "MIT" ]

null

import random import time from multiprocessing import Pool def worker(name: str) -> None: print(f'Started worker {name}') worker_time = random.choice(range(1, 5)) time.sleep(worker_time) print(f'{name} worker finished in {worker_time} seconds') if __name__ == '__main__': process_names = [f'compu...

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0.166667

0

null

0

null

0

1

0

e6e9e879bcf76ce5cfbee781823873ae94cc9222

45,541

py

Python

Project/Support-NotSourced/generic_pydicom_ns.py

mazalgarab-git/OSICpypy

003fb0b146c9ed711f05475e6cc7563bf549f230

[ "CC0-1.0" ]

1

2020-12-18T14:39:24.000Z

Project/Support-NotSourced/generic_pydicom_ns.py

mazalgarab-git/OSICpypy

003fb0b146c9ed711f05475e6cc7563bf549f230

[ "CC0-1.0" ]

null

Project/Support-NotSourced/generic_pydicom_ns.py

mazalgarab-git/OSICpypy

003fb0b146c9ed711f05475e6cc7563bf549f230

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Sep 7 11:48:59 2020 @author: mazal """ """ ========================================= Support functions of pydicom (Not sourced) ========================================= Purpose: Create support functions for the pydicom project """ """ Test mode 1 | Basics...

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null

0

null

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1

0

e6e9ffb5e0649025342ebb242012d9b21913b192

8,378

py

Python

paperscraper/scrapers/keywords.py

ahmed-shariff/scraper

52bed967db7e08e438daaa8dfa8d9338567ad7c2

[ "MIT" ]

1

2021-11-19T02:56:22.000Z

paperscraper/scrapers/keywords.py

ahmed-shariff/scraper

52bed967db7e08e438daaa8dfa8d9338567ad7c2

[ "MIT" ]

1

2021-11-19T03:42:58.000Z

2022-03-29T16:32:16.000Z

paperscraper/scrapers/keywords.py

ahmed-shariff/scraper

52bed967db7e08e438daaa8dfa8d9338567ad7c2

[ "MIT" ]

1

2021-11-19T02:56:28.000Z

import re regex = re.compile(r'[\n\r\t]') def acm_digital_library(soup): try: keywords = set() keywords_parent_ol = soup.find('ol', class_="rlist organizational-chart") keywords_divs = keywords_parent_ol.findChildren('div', recursive=True) for kw_parent in keywords_divs: ...

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null

0

null

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1

0

e6ea376dac46236ea3d4ce92ad3215d1dbffb660

6,642

py

Python

topobank/publication/models.py

ContactEngineering/TopoBank

12710c24cc158801db20f030c3e0638060e24a0e

[ "MIT", "BSD-3-Clause" ]

3

2021-12-03T19:11:07.000Z

2021-12-27T17:14:39.000Z

topobank/publication/models.py

ContactEngineering/TopoBank

12710c24cc158801db20f030c3e0638060e24a0e

[ "MIT", "BSD-3-Clause" ]

268

2021-03-19T13:57:00.000Z

2022-03-31T20:58:26.000Z

topobank/publication/models.py

ContactEngineering/TopoBank

12710c24cc158801db20f030c3e0638060e24a0e

[ "MIT", "BSD-3-Clause" ]

null

from django.db import models from django.urls import reverse from django.utils import timezone from django.utils.safestring import mark_safe from django.conf import settings MAX_LEN_AUTHORS_FIELD = 512 CITATION_FORMAT_FLAVORS = ['html', 'ris', 'bibtex', 'biblatex'] DEFAULT_KEYWORDS = ['surface', 'topography'] class...

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0.310078

0

null

0

null

0

1

0

e6eb31b711fe08af2de8afcc37c668f59c3bdd16

1,579

py

Python

day_22_b.py

Gyaha/AOC2020

fbabae9acd7d274b84bc0c64f2665dfba9f008ca

[ "MIT" ]

null

day_22_b.py

Gyaha/AOC2020

fbabae9acd7d274b84bc0c64f2665dfba9f008ca

[ "MIT" ]

null

day_22_b.py

Gyaha/AOC2020

fbabae9acd7d274b84bc0c64f2665dfba9f008ca

[ "MIT" ]

null

def play_recursively_combat(p1: list, p2: list) -> bool: rounds = set() winner = None while len(p1) > 0 and len(p2) > 0: r = tuple(p1 + [-1] + p2) if r in rounds: return True else: rounds.add(r) c1 = p1.pop(0) c2 = p2.pop(0) if c1 <= ...

17.544444

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1,579

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0.04878

0.076829

0.084146

0.136585

0.07561

0

0.072165

0.324256

1,579

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0.157143

0.028571

0

null

0

null

0

1

0

e6efe17c4e6e08ec55040433cf5ea1ff20fecb68

528

py

Python

src/ping.py

jnsougata/rich-embed

95901e590f00c4e4eabeb99c8f06bb5f90718d80

[ "MIT" ]

null

src/ping.py

jnsougata/rich-embed

95901e590f00c4e4eabeb99c8f06bb5f90718d80

[ "MIT" ]

null

src/ping.py

jnsougata/rich-embed

95901e590f00c4e4eabeb99c8f06bb5f90718d80

[ "MIT" ]

null

import discord import app_util class Ping(app_util.Cog): def __init__(self, bot: app_util.Bot): self.bot = bot @app_util.Cog.command( command=app_util.SlashCommand( name='ping', description='shows avg ping of client' ), guild_id=877399405056102431 ) async ...

24

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528

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0.089552

0.077612

0

0.05569

0.217803

528

21

95

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0

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1

0.133333

false

0

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0

0.333333

0

null

0

null

0

1

0

e6f05425230fc70414cb78c1b2738e7f0e282ac0

2,017

py

Python

2020/24/visualization.py

AlbertVeli/AdventOfCode

3d3473695318a0686fac720a1a21dd3629f09e33

[ "Unlicense" ]

null

2020/24/visualization.py

AlbertVeli/AdventOfCode

3d3473695318a0686fac720a1a21dd3629f09e33

[ "Unlicense" ]

null

2020/24/visualization.py

AlbertVeli/AdventOfCode

3d3473695318a0686fac720a1a21dd3629f09e33

[ "Unlicense" ]

1

2021-12-04T10:37:09.000Z

#!/usr/bin/env python3 import sys import re import numpy as np from PIL import Image moves = { 'e': (2, 0), 'se': (1, 2), 'sw': (-1, 2), 'w': (-2, 0), 'nw': (-1, -2), 'ne': (1, -2) } # Save (x, y): True/False in tiles. True = black, False = white. tiles = {} for line in open(sys.argv[1]).read().splitlines(): po...

24.901235

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0

0.041066

0.311849

2,017

80

98

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0

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0

null

0

null

0

1

0

e6f0fc4f8d5c7522b3b6e45957a0edd9bcec2662

16,451

py

Python

experimental/tracing/bin/diff_heap_profiler.py

BearerPipelineTest/catapult

3800a67cd916200046a50748893bbd0dcf3d7f4a

[ "BSD-3-Clause" ]

1,894

2015-04-17T18:29:53.000Z

2022-03-28T22:41:06.000Z

experimental/tracing/bin/diff_heap_profiler.py

BearerPipelineTest/catapult

3800a67cd916200046a50748893bbd0dcf3d7f4a

[ "BSD-3-Clause" ]

4,640

2015-07-08T16:19:08.000Z

2019-12-02T15:01:27.000Z

experimental/tracing/bin/diff_heap_profiler.py

atuchin-m/catapult

108ea3e2ec108e68216b1250a3d79cc642600294

[ "BSD-3-Clause" ]

698

2015-06-02T19:18:35.000Z

2022-03-29T16:57:15.000Z

#!/usr/bin/env python # Copyright 2017 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from __future__ import absolute_import from __future__ import print_function import argparse import gzip import json import os import s...

32.005837

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0.636253

2,007

16,451

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0.011947

0.010367

0.229759

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0.093207

0.073855

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0

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16,451

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0.007833

0

null

0

null

0

1

0

e6f21f20dc1c7283a540aac397169a7429e851b1

3,743

py

Python

mne_bids/commands/mne_bids_raw_to_bids.py

kingjr/mne-bids

3a4543076912cebbc89a5f0b9433cda1b9e288b8

[ "BSD-3-Clause" ]

null

mne_bids/commands/mne_bids_raw_to_bids.py

kingjr/mne-bids

3a4543076912cebbc89a5f0b9433cda1b9e288b8

[ "BSD-3-Clause" ]

null

mne_bids/commands/mne_bids_raw_to_bids.py

kingjr/mne-bids

3a4543076912cebbc89a5f0b9433cda1b9e288b8

[ "BSD-3-Clause" ]

null

"""Write raw files to BIDS format. example usage: $ mne_bids raw_to_bids --subject_id sub01 --task rest --raw data.edf --bids_root new_path """ # Authors: Teon Brooks <teon.brooks@gmail.com> # Stefan Appelhoff <stefan.appelhoff@mailbox.org> # # License: BSD (3-clause) import mne_bids from mne_bids import wr...

41.588889

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3,743

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78

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0.015152

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0.030303

0

null

0

null

0

1

0

e6f290178fbe89e1c3a852359d5e4b95ce0dd4ec

1,460

py

Python

lab1oop.py

NastiaK/NewRepository

d1907fc2e159dc1831071d7c79e20bbfb47fb822

[ "MIT" ]

null

lab1oop.py

NastiaK/NewRepository

d1907fc2e159dc1831071d7c79e20bbfb47fb822

[ "MIT" ]

null

lab1oop.py

NastiaK/NewRepository

d1907fc2e159dc1831071d7c79e20bbfb47fb822

[ "MIT" ]

null

class Calculations: def __init__(self, first, second): self.first = first self.second = second def add(self): print(self.first + self.second) def subtract(self): print(self.first - self.second) def multiply(self): print(self.first * self.second) ...

29.795918

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1,460

4.68

0.326667

0.076923

0.106838

0.102564

0.273504

0.235043

0.102564

0

0.020501

0.39863

1,460

48

120

30.416667

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0

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0

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false

0

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null

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null

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