xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

a49afb80789480d7cb57a77b968a1e32a26b82e3

806

py

Python

app.py

iUwej/Remote-Logger-Server

8adfd4b85e277ea7e4bd24c22462ff54f0ddedd8

[ "Unlicense" ]

null

app.py

iUwej/Remote-Logger-Server

8adfd4b85e277ea7e4bd24c22462ff54f0ddedd8

[ "Unlicense" ]

null

app.py

iUwej/Remote-Logger-Server

8adfd4b85e277ea7e4bd24c22462ff54f0ddedd8

[ "Unlicense" ]

null

from flask import Flask from flask import request from flask import jsonify from flask_redis import FlaskRedis app = Flask(__name__) #provide the redis configuration in the app configs to use this redis_store = FlaskRedis(app) @app.route('/') def index(): return 'Home to the remote logger' @app.route('/loge...

17.148936

63

0.705955

118

806

4.618644

0.491525

0.066055

0.082569

0

0.013255

0.157568

806

46

64

17.521739

0.789396

0.08933

0

0.142466

0

1

0.12

false

0

0.16

0.04

0.44

0

null

0

null

0

1

0

a49de0a573a17e1a8abeb597091da40cf1ac2a4e

2,529

py

Python

DBProcessing/ProcessIphoneBackup.py

georgezywang/RealTime_Wechat_Analysis

baa9ba4a06d9d6b4ce13b951f1b3846ebd338ce8

[ "MIT" ]

null

DBProcessing/ProcessIphoneBackup.py

georgezywang/RealTime_Wechat_Analysis

baa9ba4a06d9d6b4ce13b951f1b3846ebd338ce8

[ "MIT" ]

null

DBProcessing/ProcessIphoneBackup.py

georgezywang/RealTime_Wechat_Analysis

baa9ba4a06d9d6b4ce13b951f1b3846ebd338ce8

[ "MIT" ]

null

import sqlite3 as sqlite import os from Utils import * iphoneBackupDir = "IphoneBackup" m_nsAliasName = "wxid_t798rxqmvz7s11" PARSED_DB_PATH = "DataStore/Contact.db" PARSED_DATA_CONNECTION = ConnectNonEncryptedDB(PARSED_DB_PATH) userAlias, userChatEncryption, userDB = GetUpdateContactInfo(PARSED_DATA_CONNECTION, m_ns...

38.318182

123

0.594306

228

2,529

6.377193

0.368421

0.049519

0.068776

0.039202

0.093535

0.066025

0

0.013537

0.328193

2,529

65

124

38.907692

0.84226

0

0.04

0

0.373217

0

1

0.04

false

0

0.06

0

0.14

0.02

0

null

0

null

0

1

0

a49f7d80f24b4797e2ac4f693214e1ea5cd6017e

2,936

py

Python

sohojoe_wrappers.py

Sohojoe/many_towers

527b3c4b591a3d0919b76395ecfc22c4c0059b08

[ "MIT" ]

null

sohojoe_wrappers.py

Sohojoe/many_towers

527b3c4b591a3d0919b76395ecfc22c4c0059b08

[ "MIT" ]

null

sohojoe_wrappers.py

Sohojoe/many_towers

527b3c4b591a3d0919b76395ecfc22c4c0059b08

[ "MIT" ]

null

import os import gym import numpy as np def done_grading(env): if hasattr(env, 'done_grading'): return env.done_grading() if hasattr(env, 'env'): return done_grading(env.env) if hasattr(env, '_env'): return done_grading(env._env) def is_grading(env): if hasattr(env, 'is_gradin...

32.988764

96

0.583447

388

2,936

4.193299

0.255155

0.073755

0.044253

0.036878

0.244622

0.195452

0.157345

0.11555

0.090965

0

0.027107

0.308924

2,936

88

97

33.363636

0.774766

0.070504

0

0.138889

0

0.028645

0

1

0.111111

false

0

0.055556

0.013889

0.333333

0

null

0

null

0

1

0

a4a374d1f47637ba07c0cd5f25d45e1f33628c90

1,466

py

Python

jdcloud_sdk/services/asset/models/OperatingStatementVo.py

Tanc009/jdcloud-sdk-python

8b045c99bc5b73ca7348e950b6f01e03a27982f5

[ "Apache-2.0" ]

14

2018-04-19T09:53:56.000Z

2022-01-27T06:05:48.000Z

jdcloud_sdk/services/asset/models/OperatingStatementVo.py

Tanc009/jdcloud-sdk-python

8b045c99bc5b73ca7348e950b6f01e03a27982f5

[ "Apache-2.0" ]

15

2018-09-11T05:39:54.000Z

2021-07-02T12:38:02.000Z

jdcloud_sdk/services/asset/models/OperatingStatementVo.py

Tanc009/jdcloud-sdk-python

8b045c99bc5b73ca7348e950b6f01e03a27982f5

[ "Apache-2.0" ]

33

2018-04-20T05:29:16.000Z

2022-02-17T09:10:05.000Z

# coding=utf8 # Copyright 2018 JDCLOUD.COM # # 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 ...

38.578947

126

0.705321

202

1,466

5.09901

0.628713

0.058252

0.025243

0.031068

0

0.036114

0.206685

1,466

37

127

39.621622

0.849527

0.678035

0

1

0.125

false

0

0.25

0

null

0

null

0

1

0

a4a94de479ad444e62d5c5754fb01c753297dfe3

34,996

py

Python

moya/tags/server.py

moyaproject/moya

78b91d87b4519f91dfdd2b40dab44e72f201a843

[ "MIT" ]

129

2015-02-16T12:02:50.000Z

2021-11-06T00:20:01.000Z

moya/tags/server.py

liaohandel/moya

78b91d87b4519f91dfdd2b40dab44e72f201a843

[ "MIT" ]

5

2015-02-19T15:56:41.000Z

2015-09-08T18:58:35.000Z

moya/tags/server.py

liaohandel/moya

78b91d87b4519f91dfdd2b40dab44e72f201a843

[ "MIT" ]

14

2015-02-19T17:20:34.000Z

2022-03-28T01:38:09.000Z

from __future__ import unicode_literals from __future__ import print_function from __future__ import absolute_import from ..elements import Attribute from ..elements.elementbase import LogicElement from ..tags.context import ContextElementBase, DataSetter from .. import logic from ..urlmapper import URLMapper, Missing...

33.81256

213

0.566808

3,678

34,996

5.283578

0.126427

0.023054

0.022693

0.01235

0.297792

0.235784

0.195647

0.161118

0.133639

0.100242

0

0.001718

0.334695

34,996

1,034

214

33.845261

0.832925

0.068465

0

0.330909

0

0.098984

0.003128

0

1

0.042424

false

0.002424

0.046061

0.002424

0.213333

0.001212

0

null

0

null

0

1

0

8ef69a8e8cd014e8cddf55bfd7f3ad8fb1bda81e

5,132

py

Python

src/media/data/nouns.py

cjcodeproj/medialibrary

466ba475561f7701fe41ebe196aaf789a0aa7237

[ "MIT" ]

null

src/media/data/nouns.py

cjcodeproj/medialibrary

466ba475561f7701fe41ebe196aaf789a0aa7237

[ "MIT" ]

29

2021-09-06T00:46:30.000Z

2022-03-23T16:47:04.000Z

src/media/data/nouns.py

cjcodeproj/medialibrary

466ba475561f7701fe41ebe196aaf789a0aa7237

[ "MIT" ]

null

#!/usr/bin/env python ''' Objects for representation of proper nouns used in keywords. ''' # pylint: disable=too-few-public-methods # pylint: disable=too-many-branches # pylint: disable=too-many-instance-attributes from media.xml.namespaces import Namespaces class AbstractNoun(): ''' Root class for all noun...

28.511111

66

0.567225

607

5,132

4.581549

0.228995

0.097087

0.074793

0.055016

0.347717

0.314635

0.277958

0.236246

0.163251

0

0.33067

5,132

179

67

28.670391

0.809607

0.16855

0

0.336134

0

0.020369

0

1

0.12605

false

0

0.008403

0.042017

0.235294

0

null

0

null

0

1

0

8ef75298706c9e95500d4b99ead2e2f3a0f95ab6

1,325

py

Python

get_together/views/utils.py

alysivji/GetTogether

403d9945fff019701de41d081ad4452e771e1ce1

[ "BSD-2-Clause" ]

446

2018-01-21T09:22:41.000Z

2022-03-25T17:46:12.000Z

get_together/views/utils.py

alysivji/GetTogether

403d9945fff019701de41d081ad4452e771e1ce1

[ "BSD-2-Clause" ]

272

2018-01-03T16:55:39.000Z

2022-03-11T23:12:30.000Z

get_together/views/utils.py

alysivji/GetTogether

403d9945fff019701de41d081ad4452e771e1ce1

[ "BSD-2-Clause" ]

100

2018-01-27T02:04:15.000Z

2021-09-09T09:02:21.000Z

import math from django.conf import settings from django.utils.translation import ugettext_lazy as _ from events.location import get_client_ip, get_geoip from events.models import Team KM_PER_DEGREE_LAT = 110.574 KM_PER_DEGREE_LNG = 111.320 # At the equator DEFAULT_NEAR_DISTANCE = 100 # kilometeres def get_nearb...

33.974359

85

0.667925

186

1,325

4.467742

0.403226

0.075812

0.079422

0.081829

0.262335

0.226233

0.144404

0

0.022931

0.243019

1,325

38

86

34.868421

0.805583

0.019623

0

0.125

0

0.051698

0

1

0.03125

false

0

0.15625

0

0.28125

0.0625

0

null

0

null

0

1

0

f103e29578195afcbfb92ba556cee4316213c6ba

1,833

py

Python

tests/python/unittest/test_infer_type.py

mozga-intel/incubator-mxnet

7dcfedca704f39b4b9b7497dabf3fea47ad40df4

[ "BSL-1.0", "Apache-2.0" ]

13

2017-08-11T05:19:48.000Z

2020-05-12T02:09:27.000Z

tests/python/unittest/test_infer_type.py

mozga-intel/incubator-mxnet

7dcfedca704f39b4b9b7497dabf3fea47ad40df4

[ "BSL-1.0", "Apache-2.0" ]

4

2021-03-30T11:59:59.000Z

2022-03-12T00:40:23.000Z

tests/python/unittest/test_infer_type.py

mozga-intel/incubator-mxnet

7dcfedca704f39b4b9b7497dabf3fea47ad40df4

[ "BSL-1.0", "Apache-2.0" ]

13

2016-11-10T06:38:46.000Z

2021-03-18T21:26:11.000Z

# 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 u...

33.327273

91

0.713039

279

1,833

4.609319

0.487455

0.021773

0.032659

0.051322

0.108865

0.043546

0

0.034783

0.184397

1,833

54

92

33.944444

0.825418

0.420076

0

0.166667

0

0.1

1

0.1

false

0

0.166667

0

0.3

0

null

0

null

0

1

0

f1040870685ccb486372b534a48008c1e473c417

871

py

Python

Examples/ReinforcementLearning/deeprl/env/env_factory.py

burhandodhy/CNTK

fcdeef63d0192c7b4b7428b14c1f9750d6c1de2e

[ "MIT" ]

17,702

2016-01-25T14:03:01.000Z

2019-05-06T09:23:41.000Z

Examples/ReinforcementLearning/deeprl/env/env_factory.py

burhandodhy/CNTK

fcdeef63d0192c7b4b7428b14c1f9750d6c1de2e

[ "MIT" ]

3,489

2016-01-25T13:32:09.000Z

2019-05-03T11:29:15.000Z

Examples/ReinforcementLearning/deeprl/env/env_factory.py

burhandodhy/CNTK

fcdeef63d0192c7b4b7428b14c1f9750d6c1de2e

[ "MIT" ]

5,180

2016-01-25T14:02:12.000Z

2019-05-06T04:24:28.000Z

# Copyright (c) Microsoft. All rights reserved. # Licensed under the MIT license. See LICENSE.md file in the project root # for full license information. # ============================================================================== from gym import envs from . import maze2d, puddleworld def register_env(env_id):...

29.033333

80

0.552239

97

871

4.804124

0.56701

0.064378

0.060086

0.06867

0.313305

0.145923

0

0.032813

0.265212

871

29

81

30.034483

0.695313

0.259472

0

0.4

0

0.153125

0.042188

0

1

0.05

false

0

0.1

0

0.2

0

null

0

null

0

1

0

f104bbe2ef41441b68ca62399f90007c7e48f1ad

2,599

py

Python

labdrivers/version.py

pbnjeff89/labdrivers

1091b9f746a5a011d94cd63abf5010fc8cde1556

[ "MIT" ]

null

labdrivers/version.py

pbnjeff89/labdrivers

1091b9f746a5a011d94cd63abf5010fc8cde1556

[ "MIT" ]

null

labdrivers/version.py

pbnjeff89/labdrivers

1091b9f746a5a011d94cd63abf5010fc8cde1556

[ "MIT" ]

null

from os.path import join as pjoin # Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z" _version_major = 0 _version_minor = 9 _version_micro = 8 # use '' for first of series, number for 1 and above _version_extra = 'dev' # _version_extra = '' # Uncomment this for full releases # Construct ful...

32.4875

77

0.709504

319

2,599

5.626959

0.570533

0.026741

0.017827

0.030084

0

0.004286

0.191997

2,599

79

78

32.898734

0.850476

0.116199

0

0.591525

0.040192

0

1

0

false

0

0.016393

0

0.016393

0

null

0

null

0

1

0

f10572b5580f12fbec993a136bc3e170dbb62b5c

10,347

py

Python

experiments/gbnf/experiment/boosted_experiment.py

robert-giaquinto/survae_flows

4d7dc638f77c48ad3c8393b967c33ac9dbad60fe

[ "MIT" ]

2

2021-03-06T19:37:39.000Z

2022-01-09T11:19:45.000Z

experiments/gbnf/experiment/boosted_experiment.py

robert-giaquinto/survae_flows

4d7dc638f77c48ad3c8393b967c33ac9dbad60fe

[ "MIT" ]

null

experiments/gbnf/experiment/boosted_experiment.py

robert-giaquinto/survae_flows

4d7dc638f77c48ad3c8393b967c33ac9dbad60fe

[ "MIT" ]

null

import torch import torchvision.utils as vutils import math import numpy as np from survae.distributions import DataParallelDistribution from survae.utils import elbo_bpd from .utils import get_args_table, clean_dict # Path import os import time from survae.data.path import get_survae_path # Experiment from .base im...

45.183406

163

0.586837

1,234

10,347

4.689627

0.138574

0.048384

0.026611

0.033178

0.527562

0.488509

0.470192

0.460515

0.449974

0.418524

0

0.007769

0.303373

10,347

228

164

45.381579

0.795089

0.106311

0

0.354037

0

0.05379

0.033619

0

1

0.062112

false

0

0.093168

0

0.192547

0.031056

0

null

0

null

0

1

0

f105b721afb9f845c4e320b2b60eb5e5d9422cbd

6,838

py

Python

code4step2/data_registration.py

yukeyi/MCDS-Capstone

f7ce48fc5d3f5f96c1f29556585ed2338683c7d2

[ "MIT" ]

null

code4step2/data_registration.py

yukeyi/MCDS-Capstone

f7ce48fc5d3f5f96c1f29556585ed2338683c7d2

[ "MIT" ]

null

code4step2/data_registration.py

yukeyi/MCDS-Capstone

f7ce48fc5d3f5f96c1f29556585ed2338683c7d2

[ "MIT" ]

null

import os import numpy as np import pandas as pd import xarray as xr import pickle as pkl from datetime import datetime from scipy import ndimage as ndi import SimpleITK as sitk import skimage as skim from skimage import feature, morphology import glob class RegHearts: '''Class that generates liver masks for MRE ...

45.586667

100

0.665107

722

6,838

6.121884

0.279778

0.033937

0.025339

0.027149

0.159276

0.080995

0.078281

0.043439

0.017647

0

0.022803

0.211173

6,838

149

101

45.892617

0.796626

0.200351

0

0.018868

0

0.122539

0.075621

0

1

0.075472

false

0

0.103774

0

0.207547

0.037736

0

null

0

null

0

1

0

f10a2eb48e0f895a84465c9f5a4dec731cfd9d4c

1,584

py

Python

minicCompiler.py

CorentinGoet/miniC-Compiler

8631b1ce47e9de1c3a3255d7c0a941242ad48292

[ "MIT" ]

null

minicCompiler.py

CorentinGoet/miniC-Compiler

8631b1ce47e9de1c3a3255d7c0a941242ad48292

[ "MIT" ]

null

minicCompiler.py

CorentinGoet/miniC-Compiler

8631b1ce47e9de1c3a3255d7c0a941242ad48292

[ "MIT" ]

null

#!/usr/bin/env python3 """ @author Corentin Goetghebeur (github.com/CorentinGoet). """ from lexer_pkg.lexer import Lexer from parser_pkg.parser import Parser from CLI.CLIinterface import CLI import sys import os from CLI.actions import Actions from pretty_printer_pkg.pretty_printer import PrettyPrinter def main(): ...

21.405405

64

0.614268

199

1,584

4.798995

0.40201

0.031414

0.071204

0.075393

0.146597

0

0.00434

0.272727

1,584

73

65

21.69863

0.824653

0.07702

0

0.229167

0

0.137282

0

1

0.020833

false

0

0.145833

0

0.166667

0.1875

0

null

0

null

0

1

0

f110bbe65f1ea9ba273384dc8c0ede07db3a4131

1,025

py

Python

QTM_F/1D/pH2/cor.py

binggu56/qmd

e2628710de15f8a8b9a1280fcf92f9e87559414c

[ "MIT" ]

null

QTM_F/1D/pH2/cor.py

binggu56/qmd

e2628710de15f8a8b9a1280fcf92f9e87559414c

[ "MIT" ]

null

QTM_F/1D/pH2/cor.py

binggu56/qmd

e2628710de15f8a8b9a1280fcf92f9e87559414c

[ "MIT" ]

null

##!/usr/bin/python import numpy as np import pylab as plt import matplotlib as mpl import seaborn as sns sns.set_context("poster",font_scale=1.5) sns.set_style({'font.family':'Times New Roman'}) mpl.rcParams['lines.linewidth'] = 2 data = np.genfromtxt(fname='cor.dat') ncols = data.shape[1] #for x in range(1,ncol...

25.625

64

0.633171

186

1,025

3.430108

0.403226

0.109718

0.137931

0.15047

0.429467

0.109718

0

0.049215

0.068293

1,025

39

65

26.282051

0.618848

0.29561

0

0.192686

0

1

0

false

0

0.210526

0

0.210526

0

null

0

null

0

1

0

f111dbbb6122c9440b75b9f703c03c87600c2765

721

py

Python

packages/pyright-internal/src/tests/samples/tuples10.py

sasano8/pyright

e804f324ee5dbd25fd37a258791b3fd944addecd

[ "MIT" ]

4,391

2019-05-07T01:18:57.000Z

2022-03-31T20:45:44.000Z

packages/pyright-internal/src/tests/samples/tuples10.py

sasano8/pyright

e804f324ee5dbd25fd37a258791b3fd944addecd

[ "MIT" ]

2,740

2019-05-07T03:29:30.000Z

2022-03-31T12:57:46.000Z

packages/pyright-internal/src/tests/samples/tuples10.py

sasano8/pyright

e804f324ee5dbd25fd37a258791b3fd944addecd

[ "MIT" ]

455

2019-05-07T12:55:14.000Z

2022-03-31T17:09:15.000Z

# This sample tests that inferred types for tuples strip # literals under the appropriate circumstances. from typing import List, Literal, Tuple a1 = (1, 2) t1: Literal["tuple[Literal[1], Literal[2]]"] = reveal_type(a1) a2 = list((1, 2)) t2: Literal["list[int]"] = reveal_type(a2) a3: List[Literal[1]] = list((1,))...

23.258065

65

0.638003

114

721

3.973684

0.403509

0.14128

0.11479

0.119205

0.242826

0.12362

0

0.069079

0.156727

721

30

66

24.033333

0.675987

0.138696

0

0.213592

0

1

0.0625

false

0

0.0625

0

0.125

0

null

0

null

0

1

0

f113582e7cd0fe94674bc2e6c6d22332d46a63a0

5,027

py

Python

chess/states/intro.py

cuiqui/chrisis

d824bde0bc4a3b9def86550f5bae0db6398f971e

[ "MIT" ]

null

chess/states/intro.py

cuiqui/chrisis

d824bde0bc4a3b9def86550f5bae0db6398f971e

[ "MIT" ]

null

chess/states/intro.py

cuiqui/chrisis

d824bde0bc4a3b9def86550f5bae0db6398f971e

[ "MIT" ]

null

import logging from pathlib import Path from dataclasses import dataclass from typing import Union import pygame as pg import chess.settings as s from chess.states.state import State from chess.panels.intro.title import Title from chess.panels.intro.menu import Menu from chess.panels.console import Console from chess...

31.616352

88

0.539089

608

5,027

4.378289

0.279605

0.024793

0.022539

0.033058

0.279865

0.246056

0.207739

0.185199

0

0.018385

0.339964

5,027

158

89

31.816456

0.783906

0

0.258741

0

0.013986

0.065248

0.005172

0

1

0.055944

false

0

0.083916

0

0.202797

0

null

0

null

0

1

0

f114f18da4ab04c0defa026734c3b47686aa23f5

624

py

Python

examples/custom_full_model_prediction.py

vickyvava/ImageAI

fc23bc1374d5a29f816c0895b37cb769b1766eac

[ "MIT" ]

6

2019-09-03T01:45:20.000Z

2021-09-08T09:07:49.000Z

examples/custom_full_model_prediction.py

vickyvava/ImageAI

fc23bc1374d5a29f816c0895b37cb769b1766eac

[ "MIT" ]

3

2020-08-09T11:49:24.000Z

2020-10-20T00:25:07.000Z

examples/custom_full_model_prediction.py

vickyvava/ImageAI

fc23bc1374d5a29f816c0895b37cb769b1766eac

[ "MIT" ]

1

2019-12-30T18:56:05.000Z

from imageai.Prediction.Custom import CustomImagePrediction import os execution_path = os.getcwd() predictor = CustomImagePrediction() predictor.setModelPath(model_path=os.path.join(execution_path, "idenprof_full_resnet_ex-001_acc-0.119792.h5")) # Download the model via this link https://github.com/OlafenwaMoses/Ima...

32.842105

209

0.820513

83

624

6.012048

0.638554

0.104208

0.06012

0.114228

0.170341

0.124249

0

0.027444

0.065705

624

18

210

34.666667

0.828473

0.153846

0

0.116635

0.082218

0

1

0

false

0

0.2

0

0.2

0

null

0

null

0

1

0

f116e25e44c1bee36f55a82c2b9058f44ab798b0

5,391

py

Python

prometheus_ecs_discoverer/marshalling.py

lejmr/prometheus-ecs-discoverer

d4968c6e3f8588a9f64157462a82420d099ac583

[ "Apache-2.0" ]

null

prometheus_ecs_discoverer/marshalling.py

lejmr/prometheus-ecs-discoverer

d4968c6e3f8588a9f64157462a82420d099ac583

[ "Apache-2.0" ]

null

prometheus_ecs_discoverer/marshalling.py

lejmr/prometheus-ecs-discoverer

d4968c6e3f8588a9f64157462a82420d099ac583

[ "Apache-2.0" ]

null

import json import os import re from typing import Dict, List, Type from loguru import logger from prometheus_ecs_discoverer import s from prometheus_ecs_discoverer.discovery import Target # Copyright 2018, 2019 Signal Media Ltd. Licensed under the Apache License 2.0 # Modifications Copyright 2020 Tim Schwenke. Lice...

27.932642

86

0.59488

623

5,391

4.969502

0.263242

0.01938

0.03876

0.017442

0.116925

0.106589

0.086563

0

0.02194

0.298275

5,391

192

87

28.078125

0.796458

0.213689

0

0.134021

0

0.061526

0.014278

0

1

0.041237

false

0

0.072165

0

0.195876

0

null

0

null

0

1

0

f117d7f32926745dd2bc177a8ad4c629308d255f

1,242

py

Python

tests/mlflow/test_mlflow_logging.py

MuttData/soam

65612a02552668c6721dc20e675654883391c3e9

[ "Apache-2.0" ]

1

2021-09-17T01:14:57.000Z

tests/mlflow/test_mlflow_logging.py

MuttData/soam

65612a02552668c6721dc20e675654883391c3e9

[ "Apache-2.0" ]

null

tests/mlflow/test_mlflow_logging.py

MuttData/soam

65612a02552668c6721dc20e675654883391c3e9

[ "Apache-2.0" ]

1

2021-08-09T14:22:50.000Z

from unittest.mock import patch import mlflow from soam.core import SoamFlow from soam.workflow import Slicer from tests.helpers import sample_data_df # pylint: disable=unused-import def test_simple_flow(sample_data_df, tmpdir): # pylint: disable=redefined-outer-name tmp_path = "file://" + str(tmpdir) + "/mlr...

40.064516

85

0.6562

166

1,242

4.692771

0.385542

0.032092

0.061617

0.084724

0.125802

0

0.004065

0.207729

1,242

30

86

41.4

0.787602

0.05314

0

0.198636

0.082694

0

0.192308

1

0.038462

false

0

0.192308

0

0.230769

0

null

0

null

0

1

0

f11901c892a2e1651656900a41006977b1b933d2

1,609

py

Python

emote_recognizer.py

realPanamo/EmoteRecognizer

9467b7f673266b258fe2cfd76f49c3dd83b2839c

[ "MIT" ]

2

2019-06-23T17:59:52.000Z

2019-06-25T06:33:15.000Z

emote_recognizer.py

juliarn/EmoteRecognizer

9467b7f673266b258fe2cfd76f49c3dd83b2839c

[ "MIT" ]

null

emote_recognizer.py

juliarn/EmoteRecognizer

9467b7f673266b258fe2cfd76f49c3dd83b2839c

[ "MIT" ]

null

import enum import cv2 import numpy import requests import config from model.model import KerasModel from model.training_data import TrainingData class EmoteType(enum.Enum): PEEPO = 0 KAPPA = 1 class EmoteRecognizer: def __init__(self): training_data = TrainingData(config.peepo_data_dir, conf...

29.254545

108

0.683033

216

1,609

4.939815

0.402778

0.050609

0.042174

0

0.009009

0.241144

1,609

54

109

29.796296

0.864865

0.257303

0

0.004484

0

1

0.115385

false

0

0.269231

0

0.615385

0

null

0

null

0

1

0

f119173712c2b862677623c0eea51d0e26339373

633

py

Python

Python/Supermarket-Queue.py

kbgoda/Codewars-Challenges

b163df4f0bb5ccf5b6482d26b7c1d1a4ec4e9683

[ "MIT" ]

null

Python/Supermarket-Queue.py

kbgoda/Codewars-Challenges

b163df4f0bb5ccf5b6482d26b7c1d1a4ec4e9683

[ "MIT" ]

null

Python/Supermarket-Queue.py

kbgoda/Codewars-Challenges

b163df4f0bb5ccf5b6482d26b7c1d1a4ec4e9683

[ "MIT" ]

null

# Author: Karan Goda # https://www.codewars.com/kata/57b06f90e298a7b53d000a86 def queue_time(customers, n): # e.g. customers = [12, 13] queues = [] if customers is [] or n <= 0: return 0 elif n >= 1: # E.g. for 3 queues (n = 3), value would be (0, 0, 0) [queues.append(0) for queu...

31.65

61

0.578199

100

633

3.62

0.46

0.099448

0.116022

0.124309

0.174033

0.127072

0

0.099783

0.271722

633

19

62

33.315789

0.685466

0.298578

0

1

0.076923

false

0

0.230769

0

null

0

null

0

1

0

f11a59c34afba587fb8aa830114d8088e1e90046

777

py

Python

setup.py

mitchelllisle/monstermash

724907514a9727a2970b3ddffe4d6fb2a490da48

[ "MIT" ]

null

setup.py

mitchelllisle/monstermash

724907514a9727a2970b3ddffe4d6fb2a490da48

[ "MIT" ]

null

setup.py

mitchelllisle/monstermash

724907514a9727a2970b3ddffe4d6fb2a490da48

[ "MIT" ]

null

from setuptools import setup, find_packages with open('requirements/requirements.txt') as f: requirements = f.read().splitlines() with open('requirements/requirements-test.txt') as f: test_requirements = f.read().splitlines() setup( name='monstermash', author='Mitchell Lisle', author_email='m....

25.064516

56

0.666667

84

777

5.97619

0.607143

0.047809

0.079681

0.12749

0

0.008078

0.203346

777

30

57

25.9

0.802908

0

0.317889

0.1287

0

1

0

false

0

0.041667

0

0.041667

0

null

0

null

0

1

0

f11a62a225b14fde953a537552d646f6d24b4f0a

2,117

py

Python

flatpickr/_base.py

maqnius/django-flatpickr

92d5bbf9d4c0c01f904053b39f587053d072b45d

[ "MIT" ]

40

2019-03-07T08:48:58.000Z

2021-12-25T21:26:14.000Z

flatpickr/_base.py

maqnius/django-flatpickr

92d5bbf9d4c0c01f904053b39f587053d072b45d

[ "MIT" ]

6

2019-08-06T11:08:25.000Z

2021-11-16T10:05:52.000Z

flatpickr/_base.py

maqnius/django-flatpickr

92d5bbf9d4c0c01f904053b39f587053d072b45d

[ "MIT" ]

8

2020-01-02T15:14:38.000Z

2022-01-24T13:10:26.000Z

# -*- coding: utf-8 -*- """Contains Base Date-Picker input class for widgets of this package.""" from django.forms.widgets import DateTimeBaseInput from flatpickr._settings import WidgetSettings from flatpickr._media import WidgetMedia from flatpickr._config import WidgetConfig class BasePickerInput(DateTimeBaseInpu...

34.145161

79

0.64478

257

2,117

5.120623

0.350195

0.058511

0.021277

0.028875

0.206687

0.179331

0

0.000633

0.253188

2,117

61

80

34.704918

0.831752

0.222957

0

0.055556

0

0.069211

0

1

0.111111

false

0

0.138889

0

0.5

0

null

0

null

0

1

0

f11f0d6ac32bd29c53535c13dbecdf64bee130f1

1,968

py

Python

app/usr/lib/chewup/chewup/ui/indicator.py

samwhelp/util-chewup

aedcfe4a765218e11936dc4e5c259157635d7f41

[ "MIT" ]

null

app/usr/lib/chewup/chewup/ui/indicator.py

samwhelp/util-chewup

aedcfe4a765218e11936dc4e5c259157635d7f41

[ "MIT" ]

null

app/usr/lib/chewup/chewup/ui/indicator.py

samwhelp/util-chewup

aedcfe4a765218e11936dc4e5c259157635d7f41

[ "MIT" ]

null

import gi gi.require_version('Gtk', '3.0') from gi.repository import Gtk gi.require_version('AppIndicator3', '0.1') from gi.repository import AppIndicator3 as AppIndicator class Indicator: app = None view = None indicator = None menu = None icon_name_on_win_activate = 'empty' icon_name_on_win_deactivate = '...

23.710843

69

0.745427

293

1,968

4.716724

0.211604

0.04631

0.036179

0.047033

0.377713

0.240232

0.098408

0.059334

0

0.005862

0.13313

1,968

82

70

24

0.80422

0.022866

0

0.074074

0

0.067575

0

1

0.166667

false

0

0.055556

0

0.37037

0

null

0

null

0

1

0

f11f62efb3e0225c391fb17a49be38c58be39674

4,779

py

Python

mutation_lib_prep/cosmic_integrator.py

vrushali-broad/ctat-mutations

ba451dc36039f47e9c61b3ee76211070f6dc53a5

[ "BSD-3-Clause" ]

null

mutation_lib_prep/cosmic_integrator.py

vrushali-broad/ctat-mutations

ba451dc36039f47e9c61b3ee76211070f6dc53a5

[ "BSD-3-Clause" ]

null

mutation_lib_prep/cosmic_integrator.py

vrushali-broad/ctat-mutations

ba451dc36039f47e9c61b3ee76211070f6dc53a5

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # encoding: utf-8 from __future__ import (absolute_import, division, print_function, unicode_literals) #import inspect import os,sys import csv import argparse import subprocess import gzip import glob import logging ## ## This script decorates the Cosmic coding vari...

38.853659

517

0.676292

619

4,779

5.105008

0.355412

0.020886

0.039873

0.029114

0.068354

0.021519

0

0.002524

0.170956

4,779

122

518

39.172131

0.795053

0.064658

0

0.050633

0

0.075949

0.37924

0.067843

0

1

0

false

0.012658

0.101266

0

0.101266

0.012658

0

null

0

null

0

1

0

f121b237306aa5803c642431f163fbdc7a638007

1,296

py

Python

src/adversarial_q_learning/network/dqn.py

shuvoxcd01/neural_tic_tac_toe

a988230ff3dd0d882ebc0fb19630c9ff22fef629

[ "Apache-2.0" ]

null

src/adversarial_q_learning/network/dqn.py

shuvoxcd01/neural_tic_tac_toe

a988230ff3dd0d882ebc0fb19630c9ff22fef629

[ "Apache-2.0" ]

null

src/adversarial_q_learning/network/dqn.py

shuvoxcd01/neural_tic_tac_toe

a988230ff3dd0d882ebc0fb19630c9ff22fef629

[ "Apache-2.0" ]

null

import os from tensorflow.keras import Sequential from tensorflow.keras.layers import Dense, InputLayer, Flatten from tensorflow.keras.models import clone_model class DQN: @staticmethod def get_q_network(input_shape, num_actions): model = Sequential() model.add(InputLayer(input_shape=input_sh...

28.173913

77

0.681327

163

1,296

5.202454

0.306748

0.09434

0.076651

0.106132

0.242925

0.125

0

0.010924

0.222994

1,296

45

78

28.8

0.831182

0

0.181818

0

0.012346

0

1

0.121212

false

0

0.121212

0

0.363636

0

null

0

null

0

1

0

f122a05ae2a117a955547f6e8fd27731b4497e6e

6,160

py

Python

conmato/member.py

ngocbh/codeforces-management-tools

4064cf3cf4bd9ffabdab15e4243e3fbe80a824ad

[ "MIT" ]

6

2020-03-24T16:57:31.000Z

2020-09-19T13:34:14.000Z

conmato/member.py

ngocjr7/codeforces-standings-crawler

1bb8bf468299ea2c944a238627ee1516625cb91e

[ "MIT" ]

1

2021-02-04T04:39:55.000Z

conmato/member.py

ngocjr7/codeforces-standings-crawler

1bb8bf468299ea2c944a238627ee1516625cb91e

[ "MIT" ]

1

2020-04-26T11:25:55.000Z

from __future__ import absolute_import import re import requests import time import random from conmato.utils import * def remove_participants(session, member, group_id=GROUP_ID): url = MEMBERS_URL.format(group_id) payload = { '_tta': member['_tta'], 'action': 'removeMember', 'csrf...

33.478261

101

0.601948

739

6,160

4.878214

0.188092

0.050485

0.033287

0.038835

0.570874

0.490985

0.386685

0.335922

0.275728

0

0.014801

0.243182

6,160

183

102

33.661202

0.758473

0.037338

0

0.4

0

0.175103

0.009747

0

1

0.05

false

0.035714

0.042857

0

0.142857

0

null

0

null

0

1

0

f123c50479e273b94aab8c70c02be92191fe755f

6,620

py

Python

canary/argument_pipeline/component_prediction.py

Open-Argumentation/Canary

1a3128a5357f0428b7cb19d66b52e83dbe75fff0

[ "MIT" ]

3

2020-12-16T19:26:39.000Z

2022-03-16T16:41:31.000Z

canary/argument_pipeline/component_prediction.py

Open-Argumentation/Canary

1a3128a5357f0428b7cb19d66b52e83dbe75fff0

[ "MIT" ]

4

2021-05-25T13:28:40.000Z

2022-01-15T12:44:54.000Z

canary/argument_pipeline/component_prediction.py

Open-Argumentation/Canary

1a3128a5357f0428b7cb19d66b52e83dbe75fff0

[ "MIT" ]

2

2020-12-10T13:40:36.000Z

2020-12-16T19:34:03.000Z

import pandas from imblearn.over_sampling import RandomOverSampler from nltk.tree import Tree from scipy.sparse import hstack from sklearn.base import TransformerMixin, BaseEstimator from sklearn.feature_extraction import DictVectorizer from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.pipeline i...

36.373626

116

0.623112

688

6,620

5.731105

0.318314

0.012173

0.005072

0.014202

0.061882

0.017753

0

0.004391

0.277492

6,620

181

117

36.574586

0.819987

0.115408

0

0.016807

0

0.12615

0.03627

0

1

0.067227

false

0

0.142857

0

0.285714

0

null

0

null

0

1

0

f125c669b4d659e35b8a378e25dd4d527ec4dbd4

27,310

py

Python

flask/lib/python3.8/site-packages/to/trainer.py

Otybrian/blogpost

518599019e11cd7ee11e01470c4d51dfb4583274

[ "MIT" ]

null

flask/lib/python3.8/site-packages/to/trainer.py

Otybrian/blogpost

518599019e11cd7ee11e01470c4d51dfb4583274

[ "MIT" ]

null

flask/lib/python3.8/site-packages/to/trainer.py

Otybrian/blogpost

518599019e11cd7ee11e01470c4d51dfb4583274

[ "MIT" ]

null

import re import os import traceback import importlib.util from prompt_toolkit import prompt from prompt_toolkit.history import FileHistory from prompt_toolkit.auto_suggest import AutoSuggestFromHistory from prompt_toolkit.validation import ValidationError from colored import fg, bg, attr import torch.optim as optim ...

38.464789

119

0.528781

3,096

27,310

4.49677

0.112726

0.023632

0.01494

0.014869

0.323301

0.248958

0.21053

0.125916

0.08641

0.070177

0

0.010282

0.287733

27,310

709

120

38.519041

0.705429

0.078067

0

0.188433

0

0.007463

0.149425

0.004614

0

1

0.08209

false

0

0.037313

0.003731

0.20709

0.033582

0

null

0

null

0

1

0

f1266a803627ec1031a1ee5077266bcc7b6391cf

1,420

py

Python

lambdata/test_lambdata.py

leibo411/lambdata-leibo411

59b322e4e3e4d27970dea21efdecaa7d65029c7f

[ "MIT" ]

null

lambdata/test_lambdata.py

leibo411/lambdata-leibo411

59b322e4e3e4d27970dea21efdecaa7d65029c7f

[ "MIT" ]

null

lambdata/test_lambdata.py

leibo411/lambdata-leibo411

59b322e4e3e4d27970dea21efdecaa7d65029c7f

[ "MIT" ]

null

"""Basic unit test for lambdata""" import unittest import random from example_module import favorite_animals, colors, add, increment, becca, rand_num class ExampleTests(unittest.TestCase): """Making sure examples work as expected""" def test_add(self): """Testing that add works as expected""" ...

23.278689

84

0.600704

170

1,420

4.876471

0.4

0.050663

0.084439

0.048251

0.055489

0

0.044379

0.285915

1,420

60

85

23.666667

0.773176

0.179577

0

0.029464

0

0.30303

1

0.181818

false

0

0.090909

0

0.30303

0

null

0

null

0

1

0

f1298764a70d48a5cc02427e03a11f21ba24e293

6,989

py

Python

capt/function/push.py

tmanfree/capt

a6c1c12bb2677aef718f550c5fa7ffd4b71dedd4

[ "MIT" ]

null

capt/function/push.py

tmanfree/capt

a6c1c12bb2677aef718f550c5fa7ffd4b71dedd4

[ "MIT" ]

null

capt/function/push.py

tmanfree/capt

a6c1c12bb2677aef718f550c5fa7ffd4b71dedd4

[ "MIT" ]

null

# system imports import sys import os import time # local imports from function.find import Find from connector.switch import Switch class Push: def __init__(self): self.find = Find() def template(self, args, config, logger): dev_id_list = [] address_list = [] try: ...

41.35503

129

0.606954

939

6,989

4.336528

0.192758

0.053291

0.059676

0.031925

0.680501

0.654715

0.634578

0.617633

0.590128

0

0.010222

0.272142

6,989

169

130

41.35503

0.79025

0.342681

0

0.333333

0

0.152743

0

1

0.066667

false

0

0.055556

0

0.188889

0.022222

0

null

0

null

0

1

0

f12a3ccfb07fc32ea4a8769b9c53d6c5dadcdff4

5,200

py

Python

python/py_basic_ide/pyBASIC/parser.py

josephlewis42/personal_codebase

aa0fff9a908ab90bc78d24aa69d1b91163c35314

[ "Unlicense" ]

3

2015-11-24T17:06:58.000Z

2018-05-01T14:03:57.000Z

python/py_basic_ide/pyBASIC/parser.py

josephlewis42/personal_codebase

aa0fff9a908ab90bc78d24aa69d1b91163c35314

[ "Unlicense" ]

null

python/py_basic_ide/pyBASIC/parser.py

josephlewis42/personal_codebase

aa0fff9a908ab90bc78d24aa69d1b91163c35314

[ "Unlicense" ]

null

#!/usr/bin/python SHOW_ERRORS = True import sys def error_fx(text): '''The default error handling, print the text to the console. replace with your own function if you want, have it print to your wx application or whatever.''' sys.stderr.write(text) def show_error(text): ''' Send an error if SHO...

26.804124

88

0.674808

768

5,200

4.449219

0.213542

0.044776

0.05736

0.038045

0.248756

0.127305

0.093649

0

0.000713

0.190385

5,200

193

89

26.943005

0.810926

0.230769

0

0.141509

0

0.181447

0

1

0.084906

false

0

0.009434

0.179245

0

null

0

null

0

1

0

f12dc2176e2beefeeb42b25ea4471be881f3f01d

1,316

py

Python

Arays/6_Equilibrium index of an array_approach_2.py

sounak95/100_days_of_code

50fbf088ce6ab2137aa216a30e3b3f828b278a22

[ "Apache-2.0" ]

null

Arays/6_Equilibrium index of an array_approach_2.py

sounak95/100_days_of_code

50fbf088ce6ab2137aa216a30e3b3f828b278a22

[ "Apache-2.0" ]

null

Arays/6_Equilibrium index of an array_approach_2.py

sounak95/100_days_of_code

50fbf088ce6ab2137aa216a30e3b3f828b278a22

[ "Apache-2.0" ]

null

""" Description - Equilibrium index of an array is an index such that the sum of elements at lower indexes is equal to the sum of elements at higher indexes. We are given an Array of integers, We have to find out the first index i from left such that - A[0] + A[1] + ... A[i-1] = A[i+1] + A[i+2] ... A[n-1] Input [-7, 1...

23.087719

279

0.604103

250

1,316

3.168

0.384

0.012626

0.011364

0.040404

0.137626

0.082071

0.04798

0

0.039874

0.275836

1,316

56

280

23.5

0.791186

0.794833

0

1

0

false

0

0.125

0

null

0

null

0

1

0

f12e84e71dc2614e3a6f1d2f7d671fe27072ff71

474

py

Python

py_framework/wsgi.py

zeroam/TIL

43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1

[ "MIT" ]

null

py_framework/wsgi.py

zeroam/TIL

43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1

[ "MIT" ]

null

py_framework/wsgi.py

zeroam/TIL

43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1

[ "MIT" ]

null

from wsgiref.simple_server import make_server def application(envrion, start_response): response_body = [ '{key}: {value}'.format(key=key, value=value) for key, value in sorted(envrion.items()) ] response_body = '\n'.join(response_body) status = '200' response_headers = [ ('Conten...

26.333333

95

0.670886

58

474

5.310345

0.637931

0.155844

0

0.020672

0.183544

474

18

96

26.333333

0.775194

0

0.115789

0

1

0.076923

false

0

0.076923

0

0.230769

0

null

0

null

0

1

0

f130b64b0ff7b024705421268b8468e5fc3ddf42

3,345

py

Python

pomma/determine_symbols_and_max_repeats.py

NickleDave/pomma

e41dc4b354edb0c3a52685365fd79653e1930d43

[ "BSD-3-Clause" ]

1

2019-02-06T16:51:46.000Z

pomma/determine_symbols_and_max_repeats.py

NickleDave/pomma

e41dc4b354edb0c3a52685365fd79653e1930d43

[ "BSD-3-Clause" ]

null

pomma/determine_symbols_and_max_repeats.py

NickleDave/pomma

e41dc4b354edb0c3a52685365fd79653e1930d43

[ "BSD-3-Clause" ]

null

from itertools import groupby, chain def determine_symbols_and_max_repeats(sequences): """determines unique set of symbols used in sequences, and maximum number of repeats of those symbols (consecutive repeats, not just repeats in the sense of occurrences). Any symbol with a maximum number of repeats > 1...

41.8125

85

0.637668

439

3,345

4.697039

0.266515

0.053346

0.031523

0.038797

0.125121

0.093113

0.026188

0

0.003861

0.303139

3,345

79

86

42.341772

0.880738

0.479223

0

0.069825

0

1

0.027778

false

0

0.027778

0

0.083333

0

null

0

null

0

1

0

f130c55a426adac68bf09f355daa9ca3125bc0da

292

py

Python

week2/scripts/tb_publisher.py

ajaykrishna1878/Robotics-Automation-QSTP-2021

f5b8626db20a60f9dd923bab5a0bec118d0abc67

[ "MIT" ]

null

week2/scripts/tb_publisher.py

ajaykrishna1878/Robotics-Automation-QSTP-2021

f5b8626db20a60f9dd923bab5a0bec118d0abc67

[ "MIT" ]

null

week2/scripts/tb_publisher.py

ajaykrishna1878/Robotics-Automation-QSTP-2021

f5b8626db20a60f9dd923bab5a0bec118d0abc67

[ "MIT" ]

null

#!/usr/bin/env python3 import rospy from std_msgs.msg import Float32 rospy.init_node('radius_publisher') pub = rospy.Publisher('/radius', Float32, queue_size=1) rate = rospy.Rate(1) if __name__ == '__main__': while not rospy.is_shutdown(): pub.publish(0.5) rate.sleep()

22.461538

55

0.695205

43

292

4.418605

0.72093

0

0.036885

0.164384

292

13

56

22.461538

0.741803

0.071918

0

0.114391

0

1

0

false

0

0.222222

0

0.222222

0

null

0

null

0

1

0

f1313cae1d8ecddeb5f75f139601242ca6ec08e2

3,330

py

Python

exps/supp-synthetic/synth_utils.py

Viktour19/overlap-code

f5c6e63146a00f65710c38b9181bb9d12de6454f

[ "MIT" ]

2

2020-07-09T03:15:58.000Z

2022-03-09T11:57:17.000Z

exps/supp-synthetic/synth_utils.py

Viktour19/overlap-code

f5c6e63146a00f65710c38b9181bb9d12de6454f

[ "MIT" ]

null

exps/supp-synthetic/synth_utils.py

Viktour19/overlap-code

f5c6e63146a00f65710c38b9181bb9d12de6454f

[ "MIT" ]

1

2021-05-18T11:55:04.000Z

import pandas as pd import numpy as np identity_func = lambda a, b: b def compliance(D, R, inv_trans=lambda x,y : y): ops = {'<=': (lambda x,y : x <= y), '>': (lambda x,y : x > y), '>=': (lambda x,y : x >= y), '<': (lambda x,y : x < y), '==': (lambda x,y : x == y), ...

33.979592

85

0.58979

503

3,330

3.697813

0.270378

0.030645

0.034409

0.033871

0.305376

0.225806

0.17043

0

0.009942

0.275075

3,330

97

86

34.329897

0.760563

0.168769

0

0.115942

0

0.074047

0

1

0.072464

false

0

0.028986

0

0.173913

0.115942

0

null

0

null

0

1

0

f1378b6a473af8bf2230b8b3abb2ec910392d01c

4,995

py

Python

Data-Lake/etl.py

naderAsadi/Udacity-Data-Engineering-Projects

d12c42b3260379a470abd244f98a1fd5b32718f7

[ "MIT" ]

4

2020-10-03T18:14:20.000Z

2021-11-01T08:15:32.000Z

Data-Lake/etl.py

naderAsadi/Udacity-Data-Engineering-Projects

d12c42b3260379a470abd244f98a1fd5b32718f7

[ "MIT" ]

null

Data-Lake/etl.py

naderAsadi/Udacity-Data-Engineering-Projects

d12c42b3260379a470abd244f98a1fd5b32718f7

[ "MIT" ]

null

import configparser from datetime import datetime import os from pyspark.sql import SparkSession from pyspark.sql.functions import udf, col, monotonically_increasing_id from pyspark.sql.functions import year, month, dayofmonth, hour, weekofyear, date_format, dayofweek from pyspark.sql.types import * config = configpa...

40.609756

140

0.646847

567

4,995

5.460317

0.255732

0.04522

0.030685

0.023256

0.235142

0.153747

0.117571

0.101421

0.069767

0

0.002256

0.201401

4,995

122

141

40.942623

0.773878

0.110711

0

0.214987

0.036326

0

1

0.057143

false

0

0.1

0

0.171429

0

null

0

null

0

1

0

f13af7308893eb6dd4208f6a9361b6902679648a

433

py

Python

pyxel_book/sample02.py

scnsh/pyxelGames

058a4c0ad0b421cffc5746bfed2a6eddb3d85949

[ "MIT" ]

null

pyxel_book/sample02.py

scnsh/pyxelGames

058a4c0ad0b421cffc5746bfed2a6eddb3d85949

[ "MIT" ]

null

pyxel_book/sample02.py

scnsh/pyxelGames

058a4c0ad0b421cffc5746bfed2a6eddb3d85949

[ "MIT" ]

null

import pyxel WIDTH = 128 HEIGHT = 128 IMG_NO = 0 class App: my_x = 0 my_y = 0 def __init__(self): pyxel.init(WIDTH, HEIGHT) pyxel.load("mychara.pyxres") pyxel.run(self.update, self.draw) def update(self): self.my_x = pyxel.mouse_x self.my_y = pyxel.mouse_y ...

16.037037

64

0.575058

71

433

3.309859

0.380282

0.102128

0.051064

0.068085

0

0.056106

0.300231

433

26

65

16.653846

0.719472

0

0.032333

0

1

0.166667

false

0

0.055556

0

0.388889

0

null

0

null

0

1

0

f13b704fd8d0df2530e8a9f2950ab903d8a850f5

44,784

py

Python

Heavylifting.py

Dnshbbu/RulesView-Backend

09d47e600f9a3e815b5c60241817ce4d98e7ba7b

[ "MIT" ]

null

Heavylifting.py

Dnshbbu/RulesView-Backend

09d47e600f9a3e815b5c60241817ce4d98e7ba7b

[ "MIT" ]

null

Heavylifting.py

Dnshbbu/RulesView-Backend

09d47e600f9a3e815b5c60241817ce4d98e7ba7b

[ "MIT" ]

null

from flask import Flask, jsonify, abort, make_response from flask_restful import Api, Resource, reqparse, fields, marshal, abort from py2neo import * import json from flask_cors import CORS from ipaddress import * import werkzeug import os from netaddr import * import re import random import time import CSVSplit_genera...

40.345946

174

0.49741

4,469

44,784

4.882524

0.104274

0.022686

0.025023

0.015811

0.634693

0.59583

0.572869

0.539459

0.521265

0.498671

0

0.0155

0.335901

44,784

1,109

175

40.382326

0.718167

0.093404

0

0.600454

0

0.00227

0.161986

0.039203

0

1

0.024972

false

0.031782

0.019296

0

0.057889

0.148695

0

null

0

null

0

1

0

f141c618f7f5e93e7eb5c8ee22854c6063df694c

4,044

py

Python

grabNdays.py

brianvan555/Stock

f0115ef0773153cd8df361556e398935cdd1bdde

[ "BSD-2-Clause" ]

null

grabNdays.py

brianvan555/Stock

f0115ef0773153cd8df361556e398935cdd1bdde

[ "BSD-2-Clause" ]

null

grabNdays.py

brianvan555/Stock

f0115ef0773153cd8df361556e398935cdd1bdde

[ "BSD-2-Clause" ]

null

# %% import datetime import time import pandas as pd from io import StringIO from function_grab import grab_price import numpy as np import warnings import random data = {} n_days = 120 date = datetime.datetime.now() fail_count = 0 allow_continuous_fail_count = 15 # 近五年最長連續12天休市 while len(data) < n_day...

29.955556

79

0.629327

575

4,044

4.347826

0.229565

0.04

0.056

0.022

0.3884

0.3708

0.3276

0.262

0.2048

0

0.039531

0.199308

4,044

134

80

30.179104

0.732551

0.203759

0

0.294118

0

0.074254

0.015961

0

1

0

false

0

0.094118

0

0.094118

0.070588

0

null

0

null

0

1

0

f14245be4031d7387f3b61db91e9fdbcd0da8f5b

1,811

py

Python

CONTENT/Resources/guides/__UNSORTED/297_serialize_and_deserialize_binary_tree/serialize_and_desialize_binary_tree.py

impastasyndrome/DS-ALGO-OFFICIAL

c85ec9cf0af0009f038b7a571a7ac1fb466b7f3a

[ "Apache-2.0" ]

13

2021-03-11T00:25:22.000Z

2022-03-19T00:19:23.000Z

CONTENT/Resources/guides/__UNSORTED/297_serialize_and_deserialize_binary_tree/serialize_and_desialize_binary_tree.py

impastasyndrome/DS-ALGO-OFFICIAL

c85ec9cf0af0009f038b7a571a7ac1fb466b7f3a

[ "Apache-2.0" ]

162

2021-03-09T01:52:11.000Z

2022-03-12T01:09:07.000Z

CONTENT/Resources/guides/__UNSORTED/297_serialize_and_deserialize_binary_tree/serialize_and_desialize_binary_tree.py

impastasyndrome/DS-ALGO-OFFICIAL

c85ec9cf0af0009f038b7a571a7ac1fb466b7f3a

[ "Apache-2.0" ]

12

2021-04-26T19:43:01.000Z

2022-01-31T08:36:29.000Z

# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None import json class Codec: def serialize(self, root): """Encodes a tree to a single string. :type root: TreeNode ...

24.146667

60

0.47101

184

1,811

4.592391

0.331522

0.028402

0.040237

0.030769

0

0.011321

0.414688

1,811

74

61

24.472973

0.785849

0.227499

0

0.130435

0

0.012938

0

1

0.065217

false

0

0.021739

0

0.217391

0

null

0

null

0

1

0

f14272e90c89cf6a167f3389d2119044ece31836

1,832

py

Python

lhc/collections/interval_map.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

lhc/collections/interval_map.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

lhc/collections/interval_map.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

from collections import defaultdict from lhc.interval import IntervalBinner class IntervalMap(object): def __init__(self, key_value_pairs=None): self.len = 0 self.binner = IntervalBinner() self.bins = defaultdict(list) self.values = defaultdict(list) if key_value_pairs is ...

30.032787

84

0.556223

231

1,832

4.242424

0.238095

0.065306

0.040816

0.036735

0.326531

0.310204

0.261224

0

0.003376

0.353166

1,832

60

85

30.533333

0.823629

0

0.244898

0

1

0.183673

false

0

0.040816

0.020408

0.306122

0

null

0

null

0

1

0

f1432fbe7e4b709efdff7049c6c10eeddba93d8f

11,788

py

Python

bin/consolidate-preempted-logs.py

phyletica/ecoevolity-experiments

bb16e34c4c7495feaa68653df98d5fbead93cf44

[ "CC-BY-4.0" ]

null

bin/consolidate-preempted-logs.py

phyletica/ecoevolity-experiments

bb16e34c4c7495feaa68653df98d5fbead93cf44

[ "CC-BY-4.0" ]

null

bin/consolidate-preempted-logs.py

phyletica/ecoevolity-experiments

bb16e34c4c7495feaa68653df98d5fbead93cf44

[ "CC-BY-4.0" ]

null

#! /usr/bin/env python import sys import os import re import glob import argparse import project_util batch_number_pattern = re.compile(r'batch(?P<batch_number>\d+)') sim_number_pattern = re.compile(r'-sim-(?P<sim_number>\d+)-') run_number_pattern = re.compile(r'-run-(?P<sim_number>\d+)\.log') def line_count(path)...

49.529412

98

0.462335

1,220

11,788

4.160656

0.112295

0.045705

0.038416

0.026596

0.514972

0.439322

0.391056

0.349291

0.312254

0.287431

0

0.014264

0.446895

11,788

237

99

49.738397

0.764264

0.001781

0

0.384615

0

0.136325

0.036206

0

0.058824

1

0.0181

false

0

0.027149

0

0.054299

0

null

0

null

0

1

0

f144647a79fb401204bd68db25162da1d4a3b39a

303

py

Python

web/util/dateutil.py

weerapatbook/studentmonitor

82d3f5f3ce123b447ba4e4930765319734eab223

[ "Apache-2.0" ]

null

web/util/dateutil.py

weerapatbook/studentmonitor

82d3f5f3ce123b447ba4e4930765319734eab223

[ "Apache-2.0" ]

4

2020-02-12T00:58:14.000Z

2021-06-10T21:43:33.000Z

web/util/dateutil.py

weerapatbook/studentmonitor

82d3f5f3ce123b447ba4e4930765319734eab223

[ "Apache-2.0" ]

null

import datetime class DateUtil(object): @classmethod def convertDateToString(cls, date): print(type(date)) value = '' try: value = date.strftime('%d/%m/%Y') except Exception as ex: print (ex) value = date return value

21.642857

45

0.528053

31

303

5.16129

0.741935

0.1125

0

0.369637

303

13

46

23.307692

0.837696

0

0.02649

0

1

0.083333

false

0

0.083333

0

0.333333

0.166667

0

null

0

null

0

1

0

f14589148cdcd887c0aef6b10b5a56f95ad59841

1,389

py

Python

my_UpNDown/UpNDown_env.py

yifjiang/UCB-review

e5c96c0cf1977012edb7d6ea02ac5362e766980e

[ "MIT" ]

6

2018-05-01T14:25:37.000Z

2021-07-19T15:36:57.000Z

my_UpNDown/UpNDown_env.py

yifjiang/UCB-review

e5c96c0cf1977012edb7d6ea02ac5362e766980e

[ "MIT" ]

null

my_UpNDown/UpNDown_env.py

yifjiang/UCB-review

e5c96c0cf1977012edb7d6ea02ac5362e766980e

[ "MIT" ]

null

from gym.envs.atari.atari_env import AtariEnv from gym import spaces import numpy as np class my_UpNDownEnv(AtariEnv): def __init__(self): super(my_UpNDownEnv, self).\ __init__(game = 'up_n_down', obs_type = 'image', frameskip = 1, repeat_action_probability = 0.25) self.observation_space...

38.583333

109

0.521238

170

1,389

4.052941

0.376471

0.087083

0.034833

0.060958

0.20029

0.148041

0

0.052332

0.367171

1,389

35

110

39.685714

0.731513

0.196544

0

0.086957

0

0.012658

0

1

0.086957

false

0

0.130435

0

0.304348

0

null

0

null

0

1

0

f14691bf0dfdd285e473f195a1a0b4f5ae79472f

3,813

py

Python

src/anima_site.py

TheNetAdmin/AniMaid

54e6b593f49561d7bfd08e117675f69ad059132a

[ "MIT" ]

null

src/anima_site.py

TheNetAdmin/AniMaid

54e6b593f49561d7bfd08e117675f69ad059132a

[ "MIT" ]

4

2021-04-01T00:36:06.000Z

2021-12-11T02:08:49.000Z

src/anima_site.py

TheNetAdmin/AniMaid

54e6b593f49561d7bfd08e117675f69ad059132a

[ "MIT" ]

null

import logging import re import requests from dateutil.parser import parse as parse_time from json import JSONDecodeError class site: def __init__(self): pass def parse_team(self, url: str) -> dict: pass class bangumi_moe_site(site): def __init__(self): self.logger = logging.ge...

35.635514

159

0.552583

475

3,813

4.296842

0.284211

0.039686

0.034297

0.031357

0.250367

0.208721

0.183244

0.151886

0

0.008481

0.319696

3,813

106

160

35.971698

0.778335

0

0.208791

0

0.032967

0.275636

0.006294

0

1

0.087912

false

0.021978

0.054945

0

0.230769

0.065934

0

null

0

null

0

1

0

f147c644059fdd73863ea4fdd99a9a3c68be91b0

3,227

py

Python

datareduction/TestLinearRegression.py

andresmasegosa/PRML-CoreSets

fb768debb15e3ff6f5b65b7224915a41c1493f3d

[ "MIT" ]

null

datareduction/TestLinearRegression.py

andresmasegosa/PRML-CoreSets

fb768debb15e3ff6f5b65b7224915a41c1493f3d

[ "MIT" ]

null

datareduction/TestLinearRegression.py

andresmasegosa/PRML-CoreSets

fb768debb15e3ff6f5b65b7224915a41c1493f3d

[ "MIT" ]

null

import inferpy as inf import matplotlib.animation as animation import matplotlib.pyplot as plt import numpy as np from sklearn.cluster import KMeans from datareduction.variational_linear_regressor_DR import VariationalLinearRegressor_DR from prml.rv import VariationalGaussianMixture from prml.features import Polynom...

31.330097

164

0.704059

606

3,227

3.580858

0.20297

0.04977

0.018433

0.024885

0.384793

0.368664

0.343779

0.326267

0.304147

0

0.035294

0.104431

3,227

102

165

31.637255

0.715571

0.356678

0

0.001954

0

1

0

false

0

0.191489

0

0.191489

0.042553

0

null

0

null

0

1

0

f14b7fd1ac391cc7123c9a3508a739a92e9a94f9

1,277

py

Python

fast/day02/day02.py

JerryDot/advent-2021-py

c3eb44b5989c276de0b5e721d3b8dfa1698796f1

[ "MIT" ]

null

fast/day02/day02.py

JerryDot/advent-2021-py

c3eb44b5989c276de0b5e721d3b8dfa1698796f1

[ "MIT" ]

null

fast/day02/day02.py

JerryDot/advent-2021-py

c3eb44b5989c276de0b5e721d3b8dfa1698796f1

[ "MIT" ]

null

from typing import Iterable, List, Tuple """ ----------> (1,0) | | | | v (0,1) """ def parse_input() -> List[Tuple[int, int]]: with open('day02.txt', 'rb') as f: INPUT = map(lambda x: x.strip(), map(lambda x: x.decode("utf-8"), f.readlines())) moves = [] for entry in INPUT: direction, siz...

22.803571

89

0.539546

172

1,277

3.895349

0.348837

0.080597

0.059701

0.076119

0.425373

0.395522

0.308955

0.228358

0

0.033806

0.281911

1,277

55

90

23.218182

0.696838

0

0.228571

0

0.053485

0

1

0.085714

false

0

0.028571

0

0.2

0.057143

0

null

0

null

0

1

0

f14c0cd89a3a51b3ae10b34f33f09e21ce1188ac

1,300

py

Python

a.py

sarthak7838/Music-Recommender-Web-App

cda0d1a73915495b05ef9b094fad509f34afc2b6

[ "MIT" ]

null

a.py

sarthak7838/Music-Recommender-Web-App

cda0d1a73915495b05ef9b094fad509f34afc2b6

[ "MIT" ]

null

a.py

sarthak7838/Music-Recommender-Web-App

cda0d1a73915495b05ef9b094fad509f34afc2b6

[ "MIT" ]

1

2021-12-03T20:51:50.000Z

import requests as req from bs4 import BeautifulSoup import os import os.path import shutil try: r1=req.get("https://gaana.com/playlist/gaana-dj-best-of-badshah") c1=r1.content print(r) soup1=BeautifulSoup(c1,"html.parser") F1=soup1.find_all("a",{"class":"sng_c "}) #print(F1) namelist=[] #count=0 for i in F...

19.402985

82

0.636923

211

1,300

3.895735

0.445498

0.025547

0.029197

0.03163

0.036496

0

0.031732

0.151538

1,300

66

83

19.69697

0.713509

0.151538

0

0.26

0

1

0

false

0

0.151515

0

0.151515

0.090909

0

null

0

null

0

1

0

f150530daa19fd258ee7528230b71a750194f14d

1,041

py

Python

data/transcoder_evaluation_gfg/python/NUMBER_SUBSTRINGS_DIVISIBLE_4_STRING_INTEGERS.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

241

2021-07-20T08:35:20.000Z

2022-03-31T02:39:08.000Z

data/transcoder_evaluation_gfg/python/NUMBER_SUBSTRINGS_DIVISIBLE_4_STRING_INTEGERS.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

49

2021-07-22T23:18:42.000Z

2022-03-24T09:15:26.000Z

data/transcoder_evaluation_gfg/python/NUMBER_SUBSTRINGS_DIVISIBLE_4_STRING_INTEGERS.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

71

2021-07-21T05:17:52.000Z

2022-03-29T23:49:28.000Z

# Copyright (c) 2019-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # def f_gold ( s ) : n = len ( s ) count = 0 ; for i in range ( 0 , n , 1 ) : if ( s [ i ] == '4' or s [ i ] =...

26.692308

90

0.480307

137

1,041

3.525547

0.481752

0.020704

0.045549

0.057971

0

0.104348

0.337176

1,041

39

91

26.692308

0.595652

0.177714

0

0.128386

0

1

0.034483

false

0

0.068966

0.034483

0

null

0

null

0

1

0

f156bf8245bfd78557645c9f4c7188cd9870a78f

846

py

Python

IPython/frontend/html/notebook/fabfile.py

3kwa/ipython

a5922fd39ed4b2067d64b285125278a850bb129f

[ "BSD-3-Clause-Clear" ]

1

2022-03-13T23:06:43.000Z

IPython/frontend/html/notebook/fabfile.py

3kwa/ipython

a5922fd39ed4b2067d64b285125278a850bb129f

[ "BSD-3-Clause-Clear" ]

null

IPython/frontend/html/notebook/fabfile.py

3kwa/ipython

a5922fd39ed4b2067d64b285125278a850bb129f

[ "BSD-3-Clause-Clear" ]

null

""" fabfile to prepare the notebook """ from fabric.api import local,lcd from fabric.utils import abort import os static_dir = 'static' components_dir = os.path.join(static_dir,'components') def test_component(name): if not os.path.exists(os.path.join(components_dir,name)): components() def components()...

27.290323

93

0.674941

121

846

4.61157

0.413223

0.064516

0.035842

0.057348

0.075269

0

0.187943

846

30

94

28.2

0.812227

0.111111

0

0.1

0

0.180082

0

1

0.15

false

0

0.15

0

0.3

0

null

0

null

0

1

0

f15902568327420d51680a127a7bed4e1c5d6fac

2,028

py

Python

qchem/tests/test_molecular_hamiltonian.py

ryanlevy/pennylane

fb03b09d17267ebd0b9050432f9eeb84b5dff200

[ "Apache-2.0" ]

3

2021-02-22T18:30:55.000Z

2021-02-23T10:54:58.000Z

qchem/tests/test_molecular_hamiltonian.py

ryanlevy/pennylane

fb03b09d17267ebd0b9050432f9eeb84b5dff200

[ "Apache-2.0" ]

null

qchem/tests/test_molecular_hamiltonian.py

ryanlevy/pennylane

fb03b09d17267ebd0b9050432f9eeb84b5dff200

[ "Apache-2.0" ]

1

2021-03-27T09:03:15.000Z

import os import pytest from pennylane import qchem from pennylane.vqe import Hamiltonian import numpy as np symbols = ["C", "C", "N", "H", "H", "H", "H", "H"] coordinates = np.array( [ 0.68219113, -0.85415621, -1.04123909, -1.34926445, 0.23621577, 0.61794044, ...

22.043478

95

0.569527

233

2,028

4.862661

0.476395

0.007061

0.007944

0.007061

0.068844

0

0.172688

0.317554

2,028

91

96

22.285714

0.645954

0.149901

0

0.086166

0

0.025974

1

0.012987

false

0

0.064935

0

0.077922

0

null

0

null

0

1

0

f1595406821dd1cc1d957a18aeecca6864b3bc11

1,106

py

Python

lims_dashboard/utils.py

alneberg/lims_dashboard

7a833a7d8e9548fb5012dad814e6c9b807454fe7

[ "MIT" ]

null

lims_dashboard/utils.py

alneberg/lims_dashboard

7a833a7d8e9548fb5012dad814e6c9b807454fe7

[ "MIT" ]

null

lims_dashboard/utils.py

alneberg/lims_dashboard

7a833a7d8e9548fb5012dad814e6c9b807454fe7

[ "MIT" ]

null

import os import subprocess import traceback import logging logger = logging.getLogger("lims_dashboard") def run_script(app, name, options): cwd = os.getcwd() os.chdir('{0}/uploads'.format(app.root_path)) conf_obj = app.config['my_scripts'][name] command = [':'] if conf_obj['type'] == 'python': ...

30.722222

115

0.644665

134

1,106

5.208955

0.455224

0.08596

0.031519

0.051576

0.063037

0

0.002304

0.21519

1,106

35

116

31.6

0.801843

0.035262

0

0.071429

0

0.137218

0

1

0.035714

false

0

0.142857

0

0.214286

0

null

0

null

0

1

0

f15a182c95aa4785e3fe9ddf7f1191498aa88c8a

5,152

py

Python

chat/indico_chat/models/chatrooms.py

aristofanischionis/indico-plugins

abd67d8f5173aa0e2d80613cf8bef415e332d773

[ "MIT" ]

null

chat/indico_chat/models/chatrooms.py

aristofanischionis/indico-plugins

abd67d8f5173aa0e2d80613cf8bef415e332d773

[ "MIT" ]

null

chat/indico_chat/models/chatrooms.py

aristofanischionis/indico-plugins

abd67d8f5173aa0e2d80613cf8bef415e332d773

[ "MIT" ]

null

# This file is part of the Indico plugins. # Copyright (C) 2002 - 2019 CERN # # The Indico plugins are free software; you can redistribute # them and/or modify them under the terms of the MIT License; # see the LICENSE file for more details. from __future__ import unicode_literals from indico.core.db.sqlalchemy impor...

26.694301

93

0.60132

598

5,152

5.053512

0.279264

0.034414

0.0364

0.015884

0.180675

0.143944

0.108206

0.027796

0

0.002218

0.299884

5,152

192

94

26.833333

0.835597

0.240101

0

0.343284

0

0.080369

0.019499

0

1

0.059701

false

0.014925

0.044776

0.029851

0.335821

0

null

0

null

0

1

0

f163e4eec92c5b9acccead12e1775a3ab901332a

532

py

Python

src/Blog/assets.py

sadmanbd/wagtailblog

adeccb29826200cb1bedc658a0f1c57c2f705d0e

[ "MIT" ]

1

2020-04-20T05:38:01.000Z

src/Blog/assets.py

sadmanbd/wagtailblog

adeccb29826200cb1bedc658a0f1c57c2f705d0e

[ "MIT" ]

8

2020-02-11T21:41:52.000Z

2022-01-13T00:33:02.000Z

src/Blog/assets.py

sadmanbd/wagtailblog

adeccb29826200cb1bedc658a0f1c57c2f705d0e

[ "MIT" ]

null

from django.conf import settings from django_assets import Bundle, register from webassets.filter import get_filter libsass = get_filter("libsass", style="compressed") css_libs = Bundle( settings.BASE_DIR + "/assets/styles/css/libs/normalize.css", filters="cssutils", output="css/libs.css" ) css_custom ...

21.28

64

0.716165

70

532

5.285714

0.371429

0.094595

0.086486

0.113514

0.178378

0

0.140977

532

24

65

22.166667

0.809628

0

0.270677

0.12406

0

1

0

false

0

0.176471

0

0.176471

0

null

0

null

0

1

0

f165f215e0f29ecdf542caf1a3d19feab64687a9

2,864

py

Python

lib/tools/job_launcher.py

anonconda/RTDmaker

ac2a070ba26933194aa13041e1fdf92cbc39f201

[ "MIT" ]

1

2021-04-13T18:30:14.000Z

lib/tools/job_launcher.py

anonconda/RTDmaker

ac2a070ba26933194aa13041e1fdf92cbc39f201

[ "MIT" ]

null

lib/tools/job_launcher.py

anonconda/RTDmaker

ac2a070ba26933194aa13041e1fdf92cbc39f201

[ "MIT" ]

null

import os import sys import time import multiprocessing from subprocess import Popen from multiprocessing.pool import ThreadPool def work(command, logfile, job_id, tot): line_info = f'\n{time.asctime()} Starting Job {job_id} (out of {tot})' line_command = f'\n{time.asctime()} Job {job_id} command: {command}\...

34.506024

118

0.651885

432

2,864

4.19213

0.331019

0.019326

0.036444

0.035892

0.170072

0.126449

0.103258

0.051905

0

0.007273

0.231844

2,864

82

119

34.926829

0.815909

0.217877

0

0.203704

0

0.212108

0.034081

0

1

0.037037

false

0

0.111111

0

0.148148

0.074074

0

null

0

null

0

1

0

f1698183cab47657356ca5d40e4c3268c220a1ca

2,388

py

Python

malware.py

c0zzy/semi-supervised-ann

5b458774388d79f64b19ca696afb0d42ed403731

[ "MIT" ]

null

malware.py

c0zzy/semi-supervised-ann

5b458774388d79f64b19ca696afb0d42ed403731

[ "MIT" ]

null

malware.py

c0zzy/semi-supervised-ann

5b458774388d79f64b19ca696afb0d42ed403731

[ "MIT" ]

null

import copy from alg.semi_supervised import SemiSupervised from lib.ops import evaluate from lib.utils import load_avast_weeks_pca, parse_arguments args = parse_arguments() dataset_avast_pca = { 'name': 'avast_pca', 'input_size': 128, 'num_classes': 5, 'mlp_arch': [96, 64, 32], 'visualise_funcs':...

27.767442

98

0.652429

366

2,388

3.986339

0.300546

0.030843

0.061686

0.027416

0.132968

0.07608

0.056203

0

0.015625

0.222781

2,388

85

99

28.094118

0.770474

0.015075

0

0.030769

0

0.081702

0

1

0.046154

false

0

0.061538

0

0.138462

0.169231

0

null

0

null

0

1

0

f16aaf2fc0ac983255c89745ef68d2c5983e2b39

593

py

Python

phishfry/remediation_result.py

krayzpipes/phishfry

6da69548ae6970e2bc773d112509a7c94ce0e265

[ "Apache-2.0" ]

null

phishfry/remediation_result.py

krayzpipes/phishfry

6da69548ae6970e2bc773d112509a7c94ce0e265

[ "Apache-2.0" ]

3

2019-12-31T00:12:12.000Z

2020-01-03T13:43:30.000Z

phishfry/remediation_result.py

krayzpipes/phishfry

6da69548ae6970e2bc773d112509a7c94ce0e265

[ "Apache-2.0" ]

2

2019-02-12T21:01:20.000Z

2019-04-22T17:41:46.000Z

import logging log = logging.getLogger(__name__) class RemediationResult(object): def __init__(self, address, message_id, mailbox_type, action, success=True, message=None): self.address = address self.message_id = message_id self.mailbox_type = mailbox_type self.success = success ...

28.238095

94

0.640809

66

593

5.545455

0.393939

0.120219

0.098361

0.120219

0.196721

0

0.269815

593

20

95

29.65

0.845266

0

0.235294

0

1

0.117647

false

0

0.058824

0

0.235294

0

null

0

null

0

1

0

f16b40ca452b4c54cacfb36dfaca7d833512d61a

10,452

py

Python

psyIP.py

chocosobo/psypy

ebaa9e59a70117acf3182f86d7ab7fc3c40338c3

[ "MIT" ]

6

2015-07-24T05:08:52.000Z

2017-12-08T04:39:22.000Z

psyIP.py

chocosobo/psypy

ebaa9e59a70117acf3182f86d7ab7fc3c40338c3

[ "MIT" ]

1

2017-08-23T21:40:17.000Z

2017-09-27T00:32:55.000Z

psyIP.py

chocosobo/psypy

ebaa9e59a70117acf3182f86d7ab7fc3c40338c3

[ "MIT" ]

7

2019-09-14T18:16:05.000Z

2021-11-26T15:34:26.000Z

import math as m # All functions expect base SI units for any arguments given # DBT - Dry bulb temperature - Degrees Rankine, R # DPT - Dew point temperature - Degress Rankine, R # H - Specific enthalpy - British thermal unit per pound mass, # ...

28.557377

80

0.540088

1,809

10,452

2.74848

0.096186

0.07321

0.066372

0.053097

0.707965

0.671158

0.648632

0.559936

0.540426

0.509453

0

0.065667

0.329793

10,452

365

81

28.635616

0.644111

0.116437

0

0.592357

0

0.01075

0

1

0.076433

false

0

0.003185

0.16879

0.006369

0

null

0

null

0

1

0

f16b53621b6f62b6b1717b1dbba16b70894bb004

391

py

Python

newday2/App/hello.py

greatfirsty/hellopython

f12aacf36b8f208d6c5622ffd6b4c1927f37b45a

[ "Apache-2.0" ]

1

2019-05-04T01:25:43.000Z

newday2/App/hello.py

greatfirsty/hellopython

f12aacf36b8f208d6c5622ffd6b4c1927f37b45a

[ "Apache-2.0" ]

null

newday2/App/hello.py

greatfirsty/hellopython

f12aacf36b8f208d6c5622ffd6b4c1927f37b45a

[ "Apache-2.0" ]

null

import time def total_time(fun): def f(): before_time=time.time() fun() current_time=time.time() t_time=current_time-before_time print(t_time) return f @total_time def add(): time.sleep(1) return 3 #为函数添加装饰器，统计时间 @total_time def sub(): print('睡不好') time.sl...

15.64

39

0.598465

56

391

3.875

0.446429

0.147465

0.110599

0

0.017544

0.2711

391

24

40

16.291667

0.74386

0.033248

0

0.095238

0

0.034574

0

1

0.190476

false

0

0.047619

0

0.380952

0.142857

0

null

0

null

0

1

0

f16cd046c1d5bc8c482c76596f8d465b56eb49c5

667

py

Python

too_simple_server/__main__.py

outcatcher/Simple-Mock-Webserver

315bccca9dea9e821bb0a02878187058cd1fe38f

[ "MIT" ]

null

too_simple_server/__main__.py

outcatcher/Simple-Mock-Webserver

315bccca9dea9e821bb0a02878187058cd1fe38f

[ "MIT" ]

3

2019-09-04T13:22:46.000Z

2019-09-13T09:35:51.000Z

too_simple_server/__main__.py

opentelekomcloud-infra/Simple-Mock-Webserver

315bccca9dea9e821bb0a02878187058cd1fe38f

[ "MIT" ]

null

"""Run server as module""" from argparse import ArgumentParser from too_simple_server.configuration import DEFAULT_CFG_PATH from too_simple_server.run import main AGP = ArgumentParser(description="Mock server with simple DB interactions") AGP.add_argument("--debug", action="store_true", default=None) AGP.add_argument...

41.6875

100

0.758621

95

667

5.136842

0.463158

0.04918

0.114754

0.077869

0

0.106447

667

15

101

44.466667

0.818792

0.029985

0

0.25741

0

1

0

false

0

0.272727

0

0.272727

0

null

0

null

0

1

0

f1729eaefd848cb322cd91bf8c15356b94b4a070

3,038

py

Python

SIM_utils/SIM.py

facebookresearch/Project_FARSI

12b40e4f16ba7418a0f3b997ad124cdb51f4e7f4

[ "MIT" ]

14

2021-06-01T16:45:19.000Z

2022-03-08T20:07:00.000Z

SIM_utils/SIM.py

facebookresearch/Project_FARSI

12b40e4f16ba7418a0f3b997ad124cdb51f4e7f4

[ "MIT" ]

null

SIM_utils/SIM.py

facebookresearch/Project_FARSI

12b40e4f16ba7418a0f3b997ad124cdb51f4e7f4

[ "MIT" ]

3

2021-08-05T16:37:47.000Z

2022-01-06T00:25:49.000Z

#Copyright (c) Facebook, Inc. and its affiliates. #This source code is licensed under the MIT license found in the #LICENSE file in the root directory of this source tree. from SIM_utils.components.perf_sim import * from SIM_utils.components.pow_sim import * #from OSSIM_utils.components.pow_knob_sim import * from desi...

40.506667

114

0.629032

360

3,038

5.097222

0.35

0.032698

0.023978

0.034877

0.140599

0.083924

0

0.001272

0.223502

3,038

75

115

40.506667

0.7766

0.38183

0

0.05

0

0.036777

0

1

0.125

false

0

0.1

0

0.35

0

null

0

null

0

1

0

f1743c6ed7aff9eadd1ebcb064f885173f6e5cef

5,992

py

Python

netbox_graphql/tests/ipam/tests_vlans.py

ninech/django-netbox-graphql

8383570bdf3a8ce8d9d912c5b8f7b053b31c7363

[ "MIT" ]

17

2017-08-17T02:38:09.000Z

2022-01-05T15:36:20.000Z

netbox_graphql/tests/ipam/tests_vlans.py

ninech/django-netbox-graphql

8383570bdf3a8ce8d9d912c5b8f7b053b31c7363

[ "MIT" ]

2

2017-09-13T14:53:56.000Z

2018-02-08T14:06:54.000Z

netbox_graphql/tests/ipam/tests_vlans.py

ninech/django-netbox-graphql

8383570bdf3a8ce8d9d912c5b8f7b053b31c7363

[ "MIT" ]

2

2020-03-04T11:51:10.000Z

2021-03-11T19:24:37.000Z

from string import Template from graphene.test import Client from django.test import TestCase from ipam.models import VLAN from netbox_graphql.schema import schema from netbox_graphql.tests.utils import obj_to_global_id from netbox_graphql.tests.factories.ipam_factories import VLANFactory, RoleFactory from netbox_g...

30.571429

99

0.524866

570

5,992

5.370175

0.159649

0.032016

0.077752

0.100621

0.614832

0.508657

0.495263

0.442992

0.40967

0.370467

0

0.003165

0.367323

5,992

195

100

30.728205

0.804273

0

0.451807

0

0.012048

0.245995

0

0.096386

1

0.114458

false

0

0.048193

0

0.192771

0

null

0

null

0

1

0

f175d2c9f715e287b74b3835941c2fefef41cc0e

36,264

py

Python

ncdiff/src/yang/ncdiff/gnmi.py

tahigash/yang

f74d4549421a4ca3b9bc9ee46194d9c3810fd32a

[ "Apache-2.0" ]

null

ncdiff/src/yang/ncdiff/gnmi.py

tahigash/yang

f74d4549421a4ca3b9bc9ee46194d9c3810fd32a

[ "Apache-2.0" ]

null

ncdiff/src/yang/ncdiff/gnmi.py

tahigash/yang

f74d4549421a4ca3b9bc9ee46194d9c3810fd32a

[ "Apache-2.0" ]

null

import re import json import logging from lxml import etree from copy import deepcopy from xmljson import Parker from ncclient import xml_ from xml.etree import ElementTree from collections import OrderedDict, defaultdict from .errors import ModelError from .composer import Tag, Composer from .calculator import BaseCa...

41.875289

90

0.506866

4,144

36,264

4.230936

0.079151

0.033651

0.013688

0.013574

0.530029

0.445788

0.386357

0.352706

0.296127

0.251697

0

0.003807

0.405995

36,264

865

91

41.923699

0.81013

0.116259

0

0.415241

0

0.039971

0

1

0.068429

false

0

0.023328

0

0.209953

0.001555

0

null

0

null

0

1

0

f17945798753686fc982268f9cb799a7cdccba0f

1,816

py

Python

extensions/prefix_handler.py

Elfein7Night/ElfBot

5967b2b87569badab3ad60d2ecaa139d86bbb093

[ "MIT" ]

null

extensions/prefix_handler.py

Elfein7Night/ElfBot

5967b2b87569badab3ad60d2ecaa139d86bbb093

[ "MIT" ]

null

extensions/prefix_handler.py

Elfein7Night/ElfBot

5967b2b87569badab3ad60d2ecaa139d86bbb093

[ "MIT" ]

null

import logging from discord import Message from discord.ext.commands import Cog, Context, command, has_permissions, Bot from utils.utils import log_event, db, get_dict from extensions.extension_templates import DatabaseHandler DEFAULT_PREFIX = '?' PREFIXES_DB_KEY = 'prefixes_for_servers' class PrefixDBHandler(Databa...

34.923077

98

0.701542

250

1,816

4.88

0.372

0.051639

0.031967

0.02459

0.127049

0.045902

0

0.180066

1,816

51

99

35.607843

0.819342

0.101872

0

0.060606

0

0.172721

0

1

0.090909

false

0

0.151515

0.030303

0.393939

0

null

0

null

0

1

0

f17b300d0d9a14ab776efbe26b4bf7268c4f862a

4,116

py

Python

snakeskin/config.py

healthverity/snakeskin-fabric

31ba7fa5a71445eba76f89723c998d603704e0f9

[ "Apache-2.0" ]

5

2019-08-08T17:16:02.000Z

2021-05-15T07:28:31.000Z

snakeskin/config.py

healthverity/snakeskin-fabric

31ba7fa5a71445eba76f89723c998d603704e0f9

[ "Apache-2.0" ]

4

2019-08-20T15:07:12.000Z

2020-07-31T17:50:51.000Z

snakeskin/config.py

healthverity/snakeskin-fabric

31ba7fa5a71445eba76f89723c998d603704e0f9

[ "Apache-2.0" ]

2

2019-08-20T15:22:48.000Z

2019-12-17T19:38:55.000Z

""" Blockchain configuration """ import os import json from dataclasses import dataclass, field, replace from typing import List, Mapping, Optional import yaml import dacite from .models import Peer, Channel, User, Orderer, ChaincodeSpec from .models.gateway import Gateway from .constants import ChaincodeLanguag...

34.3

89

0.617104

502

4,116

4.992032

0.207171

0.021548

0.053073

0.04589

0.189944

0.122905

0.052674

0

0.00034

0.2845

4,116

119

90

34.588235

0.850594

0.107629

0

0.067416

0

0.067388

0

1

0.089888

false

0

0.101124

0

0.41573

0

null

0

null

0

1

0

f17d0d49e5fc9b163d91e5df674590e6e4cad918

1,570

py

Python

quantifier.py

daibiaoxuwu/cnn-text-classification-tf

595008c44acef7fa4dd45d1d943f0b8314e6b635

[ "Apache-2.0" ]

null

quantifier.py

daibiaoxuwu/cnn-text-classification-tf

595008c44acef7fa4dd45d1d943f0b8314e6b635

[ "Apache-2.0" ]

null

quantifier.py

daibiaoxuwu/cnn-text-classification-tf

595008c44acef7fa4dd45d1d943f0b8314e6b635

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import nltk from papersmith.editor.issue import Issue def check(content): cno=['many','few','a few','a number of','the number of','numbers of','a quantity of','quantities of','a good many','a great many','a large number of','a great number of','scores of','dozens of'] uno=['much','little','a...

35.681818

264

0.564331

256

1,570

3.441406

0.339844

0.051078

0.079455

0.068104

0.118048

0.068104

0

0.022296

0.228662

1,570

43

265

36.511628

0.705202

0.013376

0

0.142857

0

0.276665

0.030381

0

1

0.028571

false

0

0.057143

0

0.114286

0

null

0

null

0

1

0

f17d6fabf9fa920276d161547a20c9812814326f

4,038

py

Python

doc/ansible/__init__.py

jansenm/ansible-jenkins-roles

73330c53d197b5161d2b46dd27aa609e03902485

[ "BSD-3-Clause" ]

10

2015-12-30T17:49:19.000Z

2019-12-16T15:58:11.000Z

doc/ansible/__init__.py

jansenm/ansible-jenkins-roles

73330c53d197b5161d2b46dd27aa609e03902485

[ "BSD-3-Clause" ]

null

doc/ansible/__init__.py

jansenm/ansible-jenkins-roles

73330c53d197b5161d2b46dd27aa609e03902485

[ "BSD-3-Clause" ]

8

2016-10-21T04:13:14.000Z

2020-11-10T19:48:06.000Z

import docutils import docutils.nodes import docutils.parsers.rst import docutils.parsers.rst.directives import sphinx.addnodes import sphinx.application import sphinx.directives import sphinx.domains import sphinx.environment import sphinx.locale import sphinx.roles import sphinx.util.compat import sphinx.util.docfiel...

28.041667

82

0.567112

398

4,038

5.668342

0.326633

0.053191

0.04211

0.031915

0.089096

0.080674

0.049645

0

0.001078

0.311045

4,038

143

83

28.237762

0.809849

0.053739

0

0.085714

0

0.074698

0

1

0.07619

false

0

0.133333

0.009524

0.371429

0.047619

0

null

0

null

0

1

0

f17fd326827766f921f6b7614a4cdc197d55723b

2,068

py

Python

odps/pai/nodes/transform_nodes.py

ZZHGit/aliyun-odps-python-sdk

e1c39378863ec7a1947487acab38125ac77f178e

[ "Apache-2.0" ]

null

odps/pai/nodes/transform_nodes.py

ZZHGit/aliyun-odps-python-sdk

e1c39378863ec7a1947487acab38125ac77f178e

[ "Apache-2.0" ]

null

odps/pai/nodes/transform_nodes.py

ZZHGit/aliyun-odps-python-sdk

e1c39378863ec7a1947487acab38125ac77f178e

[ "Apache-2.0" ]

1

2019-09-18T05:35:29.000Z

# encoding: utf-8 # 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 # "Licens...

50.439024

121

0.729207

256

2,068

5.726563

0.453125

0.040928

0.057299

0.060027

0.195089

0.122783

0

0.010545

0.174565

2,068

40

122

51.7

0.848272

0.37234

0

0.157031

0.032813

0

1

0.052632

false

0

0.105263

0

0.210526

0

null

0

null

0

1

0

f17fd5450289443b6d91376201627bb8e37f188a

12,302

py

Python

kk/api/views.py

icw82/django-kk

b84c41ceb9f6de4fc94ef4b353583bfec70d6fed

[ "MIT" ]

null

kk/api/views.py

icw82/django-kk

b84c41ceb9f6de4fc94ef4b353583bfec70d6fed

[ "MIT" ]

null

kk/api/views.py

icw82/django-kk

b84c41ceb9f6de4fc94ef4b353583bfec70d6fed

[ "MIT" ]

null

import re import datetime import time import urllib import json from inspect import ismethod from django.views import generic from django.utils import timezone from django.utils.decorators import classonlymethod from django.db.models import ( Model, Manager, AutoField, CharField ) from django.db.models.query impo...

27.037363

78

0.520728

1,173

12,302

5.356351

0.179881

0.033424

0.016712

0.011459

0.172847

0.138469

0.120325

0.049976

0.039472

0

0.003121

0.374898

12,302

454

79

27.096916

0.813914

0.139327

0

0.236111

0

0.021966

0

0.002203

0

1

0.076389

false

0.034722

0.055556

0

0.298611

0.013889

0

null

0

null

0

1

0

f182e3c76127620cdb609d77542bf57fc763d905

3,616

py

Python

Scripts/generateOTTagsModule.py

justvanrossum/fontgoggles

0054f17d3c82938f62468c0cdb7d90b68c76d396

[ "Apache-2.0" ]

308

2020-02-17T10:08:17.000Z

2022-03-27T19:47:49.000Z

Scripts/generateOTTagsModule.py

justvanrossum/fontgoggles

0054f17d3c82938f62468c0cdb7d90b68c76d396

[ "Apache-2.0" ]

147

2020-02-17T10:03:56.000Z

2022-03-28T17:37:09.000Z

Scripts/generateOTTagsModule.py

justvanrossum/fontgoggles

0054f17d3c82938f62468c0cdb7d90b68c76d396

[ "Apache-2.0" ]

41

2020-02-25T16:15:51.000Z

2022-03-12T00:02:11.000Z

import os import re def parse(data): start = data.find("<tbody>") end = data.find("</tbody>") data = data[start+7:end] for chunk in re.findall(r"<tr>.+?</tr>", data, re.DOTALL): fields = re.findall(r"<td>(.+?)</td>", chunk, re.DOTALL) parsedFields = [] for field in fields: ...

32

76

0.535675

412

3,616

4.660194

0.315534

0.015625

0.0375

0.04375

0.121875

0.097917

0

0.011665

0.3125

3,616

112

77

32.285714

0.76066

0.059181

0

0.134021

0

0.188402

0.008243

0

0.030928

1

0.041237

false

0

0.051546

0

0.092784

0.206186

0

null

0

null

0

1

0

f183e8d9598657f18e0da5ccceacb5083a04c145

4,000

py

Python

tests/test_request_logging_middleware.py

quoth/fastapi-cloud-logging

680f5ab6d90a6d06d1037845a23f355cc6d3b0fe

[ "MIT" ]

null

tests/test_request_logging_middleware.py

quoth/fastapi-cloud-logging

680f5ab6d90a6d06d1037845a23f355cc6d3b0fe

[ "MIT" ]

null

tests/test_request_logging_middleware.py

quoth/fastapi-cloud-logging

680f5ab6d90a6d06d1037845a23f355cc6d3b0fe

[ "MIT" ]

null

import pytest from fastapi import Request from pytest_mock import MockerFixture from starlette.datastructures import Headers from fastapi_cloud_logging.request_logging_middleware import ( _FASTAPI_REQUEST_CONTEXT, RequestLoggingMiddleware, ) @pytest.fixture def middleware(mocker: MockerFixture) -> RequestLog...

30.075188

94

0.48975

357

4,000

5.29972

0.187675

0.133192

0.12685

0.02537

0.450846

0.386364

0.377378

0.360465

0

0.063544

0.38625

4,000

132

95

30.30303

0.707128

0

0.448

0

0.19275

0.02425

0

0.096

1

0.024

false

0

0.04

0.008

0.072

0

null

0

null

0

1

0

f186dbe8c5a6f32bd57f511982e06c3f8a0977c9

1,055

py

Python

api/tests/snapshots/snap_test_api.py

City-of-Helsinki/notification-service-api

1c4c6d900de5f2ce9ce9becb6774d10892084ede

[ "MIT" ]

null

api/tests/snapshots/snap_test_api.py

City-of-Helsinki/notification-service-api

1c4c6d900de5f2ce9ce9becb6774d10892084ede

[ "MIT" ]

17

2020-07-07T12:08:34.000Z

2021-06-10T20:26:20.000Z

api/tests/snapshots/snap_test_api.py

City-of-Helsinki/notification-service-api

1c4c6d900de5f2ce9ce9becb6774d10892084ede

[ "MIT" ]

null

# -*- coding: utf-8 -*- # snapshottest: v1 - https://goo.gl/zC4yUc from __future__ import unicode_literals from snapshottest import Snapshot snapshots = Snapshot() snapshots["test_send_sms 1"] = { "errors": [], "messages": {"+358461231231": {"converted": "+358461231231", "status": "CREATED"}}, "warnings"...

25.731707

87

0.563033

88

1,055

6.568182

0.522727

0.089965

0.179931

0.140138

0.484429

0

0.144608

0.22654

1,055

40

88

26.375

0.563725

0.058768

0

0.34375

0

0.456566

0.071717

0

1

0

false

0

0.0625

0

0.0625

0

null

0

null

0

1

0

f18777bf37a356b77a08bfd81442ba10cd669ef2

2,552

py

Python

metrics.py

alexjercan/normals-estimation

6f18f9248b7c01842f0d4ba57cde5227a893f506

[ "MIT" ]

null

metrics.py

alexjercan/normals-estimation

6f18f9248b7c01842f0d4ba57cde5227a893f506

[ "MIT" ]

null

metrics.py

alexjercan/normals-estimation

6f18f9248b7c01842f0d4ba57cde5227a893f506

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Developed by Alex Jercan <jercan_alex27@yahoo.com> # # References: # - https://github.com/XinJCheng/CSPN/blob/b3e487bdcdcd8a63333656e69b3268698e543181/cspn_pytorch/utils.py#L19 # - https://web.eecs.umich.edu/~fouhey/2016/evalSN/evalSN.html # from math import radians import torch import torc...

35.444444

138

0.653605

367

2,552

4.310627

0.318801

0.05689

0.03287

0.053097

0.120101

0.03287

0

0.046027

0.191223

2,552

72

139

35.444444

0.720446

0.104232

0

0.022222

0.121265

0.049649

0

1

0.133333

false

0

0.066667

0

0.311111

0.044444

0

null

0

null

0

1

0

f188a72c45fc5d13f8ee8845ece06a14fed39304

2,088

py

Python

pyfarm/models/statistics/task_count.py

guidow/pyfarm-master

d41c8f1eb5bfefb8400d400bcecadf197bcfb80a

[ "Apache-2.0" ]

null

pyfarm/models/statistics/task_count.py

guidow/pyfarm-master

d41c8f1eb5bfefb8400d400bcecadf197bcfb80a

[ "Apache-2.0" ]

null

pyfarm/models/statistics/task_count.py

guidow/pyfarm-master

d41c8f1eb5bfefb8400d400bcecadf197bcfb80a

[ "Apache-2.0" ]

null

# No shebang line, this module is meant to be imported # # Copyright 2015 Ambient Entertainment GmbH & Co. KG # # 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/lice...

29.408451

77

0.690134

295

2,088

4.8

0.474576

0.039548

0.063559

0.060028

0.182203

0.115819

0

0.004957

0.227011

2,088

70

78

29.828571

0.872367

0.429119

0

0.30303

0

0.243151

0.023116

0

1

0

false

0

0.121212

0

0.424242

0

null

0

null

0

1

0

f189b87dcc3283704fc6b747b9d51de15714a10a

2,817

py

Python

malware prediction.py

Highcourtdurai/AI-prediction

bea4c19c0c9bf3432be6cf61f9a4992d3070746c

[ "Apache-2.0" ]

null

malware prediction.py

Highcourtdurai/AI-prediction

bea4c19c0c9bf3432be6cf61f9a4992d3070746c

[ "Apache-2.0" ]

null

malware prediction.py

Highcourtdurai/AI-prediction

bea4c19c0c9bf3432be6cf61f9a4992d3070746c

[ "Apache-2.0" ]

null

import warnings warnings.filterwarnings('ignore') import pandas as pd import numpy as np import seaborn as sns #from sklearn.svm import SVC #from sklearn.model_selection import KFold from sklearn import preprocessing import matplotlib.pyplot as plt data=pd.read_csv('android.csv') print(data.shape) da...

23.475

102

0.746539

417

2,817

4.848921

0.280576

0.059842

0.034619

0.017804

0.176558

0.068249

0.037587

0

0.013952

0.134895

2,817

119

103

23.672269

0.815757

0.071707

0

0.15942

0

0.043024

0

1

0

false

0

0.275362

0

0.275362

0.231884

0

null

0

null

0

1

0

f18ade7811c36ebc2634566008604890a3cd1f7b

3,147

py

Python

_unittests/ut_ipythonhelper/test_ipythonhelper.py

janjagusch/pyquickhelper

d42e1579ea20f5add9a9cd2b6d2d0a3533aee40b

[ "MIT" ]

18

2015-11-10T08:09:23.000Z

2022-02-16T11:46:45.000Z

_unittests/ut_ipythonhelper/test_ipythonhelper.py

janjagusch/pyquickhelper

d42e1579ea20f5add9a9cd2b6d2d0a3533aee40b

[ "MIT" ]

321

2015-06-14T21:34:28.000Z

2021-11-28T17:10:03.000Z

_unittests/ut_ipythonhelper/test_ipythonhelper.py

janjagusch/pyquickhelper

d42e1579ea20f5add9a9cd2b6d2d0a3533aee40b

[ "MIT" ]

10

2015-06-20T01:35:00.000Z

2022-01-19T15:54:32.000Z

""" @brief test log(time=2s) """ import sys import os import unittest from pyquickhelper.pycode import ExtTestCase from pyquickhelper.ipythonhelper import AutoCompletion, AutoCompletionFile, MagicCommandParser, MagicClassWithHelpers, open_html_form class TestAutoCompletion(ExtTestCase): def test_completion...

34.582418

133

0.57674

362

3,147

4.861878

0.328729

0.023864

0.006818

0.009091

0.195455

0.157955

0.119318

0.065909

0

0.013239

0.279949

3,147

90

134

34.966667

0.76346

0.017159

0

0.133333

0

0.158442

0

0.146667

1

0.093333

false

0

0.066667

0.013333

0.186667

0

null

0

null

0

1

0

74af94c08770ecd85e6abea27c4f5fa08a581c3a

1,479

py

Python

dcm2lungwin.py

hbuck1996/CT-Window-adjustment

fc5387d42cb4f4299a074aad7aff43cf396578d3

[ "MIT" ]

1

2021-11-05T08:37:09.000Z

dcm2lungwin.py

hbuck1996/CT-Window-adjustment

fc5387d42cb4f4299a074aad7aff43cf396578d3

[ "MIT" ]

null

dcm2lungwin.py

hbuck1996/CT-Window-adjustment

fc5387d42cb4f4299a074aad7aff43cf396578d3

[ "MIT" ]

null

# -*- coding=utf-8 -*- import pydicom import os import numpy from os.path import splitext import PIL.Image as Image def getfile(file): dcm = pydicom.dcmread(file) img2 = dcm.pixel_array * dcm.RescaleSlope + dcm.RescaleIntercept return img2 def get_window_size(window_type): if window_type =='lung':#肺窗...

26.890909

68

0.634212

213

1,479

4.258216

0.389671

0.084895

0.028666

0.041896

0.085998

0.035281

0

0.03664

0.243408

1,479

54

69

27.388889

0.773905

0.024341

0

0.025748

0

1

0.066667

false

0

0.111111

0

0.244444

0

null

0

null

0

1

0

74b08192a0962af59339ae5fc75dfd53de367b84

1,600

py

Python

utils/ansi_text.py

hkkwok/MachOTool

469c0fd06199356fcc6d68809c7ba15a12eac1fd

[ "Apache-2.0" ]

12

2016-01-08T22:35:14.000Z

2019-07-29T11:50:41.000Z

utils/ansi_text.py

uvbs/MachOTool

469c0fd06199356fcc6d68809c7ba15a12eac1fd

[ "Apache-2.0" ]

2

2015-12-10T21:28:04.000Z

2019-10-15T10:05:19.000Z

utils/ansi_text.py

uvbs/MachOTool

469c0fd06199356fcc6d68809c7ba15a12eac1fd

[ "Apache-2.0" ]

6

2016-10-10T05:29:41.000Z

2019-10-15T09:59:17.000Z

class AnsiText(object): ENABLE_COLOR = True COLORS = {'black': 30, 'red': 31, 'green': 32, 'yellow': 33, 'blue': 34, 'magenta': 35, 'cyan': 36, 'white': 37} BOLD = 1 UNDERLINE = 4 def __init__(self, ...

30.769231

89

0.5025

180

1,600

4.383333

0.361111

0.057034

0.072243

0.134347

0.096324

0

0.020555

0.391875

1,600

51

90

31.372549

0.790339

0

0.085106

0

0.089375

0

0.021277

1

0.042553

false

0

0.191489

0

null

0

null

0

1

0

74b378062d50de8d6fa4de92edd93991772320d6

330

py

Python

Python/Learn Python The Hard Way/ex32.py

Vayne-Lover/Effective

05f0a08bec8eb112fdb4e7a489d0e33bc81522ff

[ "MIT" ]

null

Python/Learn Python The Hard Way/ex32.py

Vayne-Lover/Effective

05f0a08bec8eb112fdb4e7a489d0e33bc81522ff

[ "MIT" ]

null

Python/Learn Python The Hard Way/ex32.py

Vayne-Lover/Effective

05f0a08bec8eb112fdb4e7a489d0e33bc81522ff

[ "MIT" ]

null

# -*- coding: utf-8 -*- the_count = [1, 2, 3, 4, 5] fruits = ['apples', 'oranges', 'pears', 'apricots'] change = [1, 'pennies', 2, 'dimes', 3, 'quarters'] for i in the_count: print(i) for j in fruits: print(j) for k in change: print(k) element=[] for i in range(6): element.append(i) for e in element: ...

13.2

51

0.587879

56

330

3.428571

0.535714

0.083333

0.0625

0

0.03861

0.215152

330

24

52

13.75

0.702703

0.063636

0

0.149837

0

1

0

false

0

0.285714

0

null

0

null

0

1

0

74b3f7e3888622737e8eff19f6ae59cf2977b401

678

py

Python

agr0_sh0p/sendemail/sg_verify.py

Mikhail-Kushnerev/agr0-sh0p

b0bea7aef7166ae04691a6b575658a1fb16543ca

[ "BSD-3-Clause" ]

null

agr0_sh0p/sendemail/sg_verify.py

Mikhail-Kushnerev/agr0-sh0p

b0bea7aef7166ae04691a6b575658a1fb16543ca

[ "BSD-3-Clause" ]

null

agr0_sh0p/sendemail/sg_verify.py

Mikhail-Kushnerev/agr0-sh0p

b0bea7aef7166ae04691a6b575658a1fb16543ca

[ "BSD-3-Clause" ]

null

# using SendGrid's Python Library # https://github.com/sendgrid/sendgrid-python import os from sendgrid import SendGridAPIClient from sendgrid.helpers.mail import Mail APIKEY = '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' message = Mail( from_email='muxa2k11@gmail.com', to_emails='...

28.25

80

0.756637

85

678

5.976471

0.647059

0.076772

0

0.02931

0.144543

678

23

81

29.478261

0.846552

0.110619

0

0.338333

0.153333

0

1

0

false

0

0.166667

0

0.166667

0.222222

0

null

0

null

0

1

0

74b48488924a2302ea18239cc158782bc978ef6c

2,324

py

Python

setup.py

rhys-newbury/swift

60154b0441c468e3c15225c6820158d52ade98bf

[ "MIT" ]

25

2020-10-09T05:20:21.000Z

2022-02-27T19:28:14.000Z

setup.py

rhys-newbury/swift

60154b0441c468e3c15225c6820158d52ade98bf

[ "MIT" ]

19

2020-10-28T22:56:55.000Z

2022-03-23T11:26:41.000Z

setup.py

rhys-newbury/swift

60154b0441c468e3c15225c6820158d52ade98bf

[ "MIT" ]

8

2021-03-02T16:13:46.000Z

2021-12-22T10:50:35.000Z

from setuptools import setup, find_packages, Extension from os import path import os # fmt: off import pip pip.main(['install', 'numpy>=1.18.0']) import numpy # fmt: on here = path.abspath(path.dirname(__file__)) req = ["numpy>=1.18.0", "spatialgeometry>=0.2.0", "websockets"] # Get the long description from the REA...

29.794872

77

0.654905

285

2,324

5.235088

0.533333

0.050268

0.067024

0.069705

0

0.017486

0.212565

2,324

77

78

30.181818

0.797814

0.160499

0

0.345023

0.022176

0

1

0.018182

false

0

0.090909

0

0.127273

0

null

0

null

0

1

0

74ba731ff054eb15ac2f02bf27cba0343a1c4050

1,510

py

Python

src/opera/parser/tosca/__init__.py

sstanovnik/xopera-opera

06031d37268913c6ba6dbc30ec6b4acb3a17dc5a

[ "Apache-2.0" ]

null

src/opera/parser/tosca/__init__.py

sstanovnik/xopera-opera

06031d37268913c6ba6dbc30ec6b4acb3a17dc5a

[ "Apache-2.0" ]

null

src/opera/parser/tosca/__init__.py

sstanovnik/xopera-opera

06031d37268913c6ba6dbc30ec6b4acb3a17dc5a

[ "Apache-2.0" ]

null

from pathlib import PurePath import importlib from opera import stdlib from opera.error import ParseError from opera.parser import yaml SUPPORTED_VERSIONS = dict( tosca_simple_yaml_1_3="v_1_3", ) def load(base_path, template_name): with (base_path / template_name).open() as input_fd: input_yaml = y...

29.607843

70

0.662914

187

1,510

5.064171

0.374332

0.101373

0.053854

0.066526

0.050686

0

0.005226

0.239735

1,510

50

71

30.2

0.819686

0

0.054054

0

0.110596

0.016556

0

1

0.081081

false

0

0.162162

0.027027

0.324324

0

null

0

null

0

1

0

74bab9faf0636dab82e5b1e9553de1e5cede8ce6

18,100

py

Python

project/upload/views.py

beijbom/coralnet

c3f4a44eeb60cb41a079329a0068dc8b34096e89

[ "BSD-2-Clause" ]

31

2019-12-08T14:22:52.000Z

2021-12-27T04:58:12.000Z

project/upload/views.py

beijbom/coralnet

c3f4a44eeb60cb41a079329a0068dc8b34096e89

[ "BSD-2-Clause" ]

193

2019-12-07T23:27:43.000Z

2022-03-05T08:05:46.000Z

project/upload/views.py

beijbom/coralnet

c3f4a44eeb60cb41a079329a0068dc8b34096e89

[ "BSD-2-Clause" ]

null

import json from datetime import timedelta from django.conf import settings from django.http import HttpResponseRedirect, JsonResponse from django.shortcuts import get_object_or_404, render from django.urls import reverse from django.utils.timezone import now from accounts.utils import get_imported_user from annotati...

35.559921

88

0.673149

2,231

18,100

5.241147

0.161811

0.038998

0.043274

0.036945

0.499786

0.46515

0.430343

0.427948

0.40366

0.383477

0

0.003998

0.23989

18,100

508

89

35.629921

0.845908

0.172376

0

0.510324

0

0.126374

0.018596

0

0.001969

0

1

0.035398

false

0

0.135693

0

0.265487

0

null

0

null

0

1

0

74bb9cc1b76d05a1ca8fad8227db7488f5dc77ca

3,846

py

Python

medgen/annotate/variant.py

text2gene/medgen

e2327bdf8f2c9e35da177fbbd0d217790c0ae361

[ "Apache-2.0" ]

null

medgen/annotate/variant.py

text2gene/medgen

e2327bdf8f2c9e35da177fbbd0d217790c0ae361

[ "Apache-2.0" ]

null

medgen/annotate/variant.py

text2gene/medgen

e2327bdf8f2c9e35da177fbbd0d217790c0ae361

[ "Apache-2.0" ]

null

""" Variant-level annotation functions requiring ClinvarDB and Metapub (NCBI/eutils). """ import requests, json, urllib from metapub.text_mining import is_pmcid, is_ncbi_bookID from metapub.pubmedcentral import get_pmid_for_otherid from ..db.clinvar import ClinVarDB from ..log import log ##########################...

34.035398

110

0.583983

428

3,846

5.016355

0.287383

0.081975

0.018631

0.026083

0.296227

0.264555

0.161155

0.133209

0.115976

0

0.00103

0.24285

3,846

112

111

34.339286

0.736264

0.191368

0

0.275862

0

0.137158

0

0.008929

0

1

0.086207

false

0

0.086207

0

0.258621

0

null

0

null

0

1

0

74bbb875400925fd99ab218e4498bdd041de47bc

6,049

py

Python

microdf/custom_taxes.py

MaxGhenis/taxcalc-helpers

85d2739d1c96882424cb51ef1806c9e51f88c085

[ "MIT" ]

6

2019-06-26T14:37:49.000Z

2020-08-10T22:26:34.000Z

microdf/custom_taxes.py

MaxGhenis/taxcalc-helpers

85d2739d1c96882424cb51ef1806c9e51f88c085

[ "MIT" ]

94

2019-06-22T14:57:58.000Z

2020-09-08T16:35:38.000Z

microdf/custom_taxes.py

MaxGhenis/taxcalc-helpers

85d2739d1c96882424cb51ef1806c9e51f88c085

[ "MIT" ]

6

2020-09-08T18:29:36.000Z

2021-04-01T18:31:42.000Z

""" Functions and data for estimating taxes outside the income tax system. Examples include value added tax, financial transaction tax, and carbon tax. """ import microdf as mdf import numpy as np import pandas as pd # Source: # https://www.taxpolicycenter.org/briefing-book/who-would-bear-burden-vat VAT_INCIDENCE =...

33.41989

119

0.65515

886

6,049

4.351016

0.226862

0.052918

0.031128

0.02179

0.473411

0.43917

0.431128

0.428794

0.42594

0

0.042073

0.237725

6,049

180

120

33.605556

0.793971

0.551661

0

0.333333

0

0.066966

0

0.011494

1

0.045977

false

0

0.034483

0

0.08046

0.011494

0

null

0

null

0

1

0

74bd2bcc47cfe5b8be22decac84de616312a386c

9,067

py

Python

system_c/scripts/combine_two_systems.py

hkayesh/depend_clean

1d4bfdaf9a4d323582ab36e3ec0f9b4f2faae851

[ "Apache-2.0" ]

null

system_c/scripts/combine_two_systems.py

hkayesh/depend_clean

1d4bfdaf9a4d323582ab36e3ec0f9b4f2faae851

[ "Apache-2.0" ]

null

system_c/scripts/combine_two_systems.py

hkayesh/depend_clean

1d4bfdaf9a4d323582ab36e3ec0f9b4f2faae851

[ "Apache-2.0" ]

null

from utilities import Utilities # from comment_level_evaluation import CommentLevelEvaluation import operator class CombineSystems: def __init__(self): self.utilities = Utilities() self.storage_path = 'comment-level-datasets-2/' # self.storage_path = 'r-combine-outputs/' # self.ra...

38.419492

149

0.545715

1,062

9,067

4.46516

0.149718

0.035428

0.023619

0.015183

0.614509

0.548503

0.536061

0.51202

0.381274

0

0.01872

0.351936

9,067

235

150

38.582979

0.788291

0.122532

0

0.412162

0

0.050366

0.003156

0

1

0.047297

false

0

0.013514

0

0.087838

0

null

0

null

0

1

0

74bdf4ce11cc1cf0cef84ffadb758b63eccf4b5b

603

py

Python

python/ops/lekcija 24/program01.py

jasarsoft/examples

d6fddfcb8c50c31fbfe170a3edd2b6c07890f13e

[ "MIT" ]

null

python/ops/lekcija 24/program01.py

jasarsoft/examples

d6fddfcb8c50c31fbfe170a3edd2b6c07890f13e

[ "MIT" ]

null

python/ops/lekcija 24/program01.py

jasarsoft/examples

d6fddfcb8c50c31fbfe170a3edd2b6c07890f13e

[ "MIT" ]

null

import json student = { "ime" : "Milan", "prezime" : "Tair", "indeks" : 2008213514, "ispiti" : [ { "predmet" : "Programiranje 1", "datum" : "2008-01-05", "ocjena" : 10 }, { "predmet" : "Informatika", ...

20.1

44

0.480929

48

603

6.041667

0.604167

0.062069

0.075862

0.089655

0.144828

0

0.081794

0.371476

603

29

45

20.793103

0.683377

0

0.24

0

0.208955

0

1

0

false

0

0.04

0

0.04

0.08

0

null

0

null

0

1

0

74be7f88c0d0fd7163d55362678d0731ca6c0782

1,066

py

Python

___Python/Carsten/p11_Excel/m01_Excel_einlesen.py

uvenil/PythonKurs201806

85afa9c9515f5dd8bec0c546f077d8cc39568fe8

[ "Apache-2.0" ]

null

___Python/Carsten/p11_Excel/m01_Excel_einlesen.py

uvenil/PythonKurs201806

85afa9c9515f5dd8bec0c546f077d8cc39568fe8

[ "Apache-2.0" ]

null

___Python/Carsten/p11_Excel/m01_Excel_einlesen.py

uvenil/PythonKurs201806

85afa9c9515f5dd8bec0c546f077d8cc39568fe8

[ "Apache-2.0" ]

null

import pandas as pd import xlrd import xlsxwriter from p01_kennenlernen import meinebibliothek df = pd.read_excel("O:\___Python\personen.xlsx") # importieren von excel nach python mit datumsangabe in Timestamp print(df) print() df1 = pd.to_datetime(df["Geburtsdatum"]) # umwandeln von Timestamp in datetime ...

34.387097

135

0.766417

132

1,066

6.098485

0.537879

0.026087

0.037267

0

0.006579

0.144465

1,066

30

136

35.533333

0.876096

0.401501

0

0.238095

0

0.191987

0.105175

0

1

0

false

0

0.190476

0

0.190476

0.333333

0

null

0

null

0

1

0

74bf6f3b5de8a5799156e1034c8878c020d100c2

7,769

py

Python

vmz_interface/extractor/build_lmdb.py

fksato/vmz_interface

985e7129f4bf266a6226dbc2b7e108dafc8b917a

[ "Apache-2.0" ]

null

vmz_interface/extractor/build_lmdb.py

fksato/vmz_interface

985e7129f4bf266a6226dbc2b7e108dafc8b917a

[ "Apache-2.0" ]

null

vmz_interface/extractor/build_lmdb.py

fksato/vmz_interface

985e7129f4bf266a6226dbc2b7e108dafc8b917a

[ "Apache-2.0" ]

null

import os import csv import numpy as np import pandas as pd import pickle as pk from glob import glob from math import ceil from vmz_interface.data.db_video_create import create_video_db class VideoDBBuilder: def __init__(self, stimulus_id, lmdb_path, temporal_depth, fpv=75, video_strt_offset=15 , clips_overlap...

35.313636

164

0.740378

1,282

7,769

4.153666

0.170047

0.02554

0.013521

0.031925

0.281315

0.174648

0.150423

0.107793

0.049202

0.022911

0

0.008913

0.16244

7,769

219

165

35.474886

0.809436

0.197838

0

0.072464

0

0.098614

0.062037

0

0.036232

1

0.057971

false

0

0.057971

0

0.152174

0

null

0

null

0

1

0

74c04ac95cf162be1b2cc7dbd708d0513446fe97

13,038

py

Python

tests/test_pyoidc_facade.py

Titotix/Flask-pyoidc

87b8059617304ec634d7b6d3f5f649c40d9cdb4c

[ "Apache-2.0" ]

64

2017-01-31T09:08:15.000Z

2021-12-21T21:05:45.000Z

tests/test_pyoidc_facade.py

Titotix/Flask-pyoidc

87b8059617304ec634d7b6d3f5f649c40d9cdb4c

[ "Apache-2.0" ]

99

2017-02-08T22:38:54.000Z

2022-03-31T22:03:27.000Z

tests/test_pyoidc_facade.py

Titotix/Flask-pyoidc

87b8059617304ec634d7b6d3f5f649c40d9cdb4c

[ "Apache-2.0" ]

33

2017-02-09T18:19:51.000Z

2021-12-24T17:48:52.000Z

import time import base64 import pytest import responses from oic.oic import AuthorizationResponse, AccessTokenResponse, TokenErrorResponse, OpenIDSchema, \ AuthorizationErrorResponse from urllib.parse import parse_qsl, urlparse from flask_pyoidc.provider_configuration import ProviderConfiguration, ClientMetadata...

49.763359

118

0.649409

1,262

13,038

6.335182

0.12916

0.094059

0.052533

0.056035

0.596623

0.51257

0.430394

0.397498

0.353846

0.329581

0

0.004615

0.268753

13,038

261

119

49.954023

0.833963

0

0.321429

0

0.071253

0.004679

0

0.120536

1

0.089286

false

0

0.040179

0

0.165179

0

null

0

null

0

1

0

74c236bbb346149e0b60b81086ce4a68adb25d83

4,260

py

Python

INIT.py

db260179/mullion

3ed599f624ab308f5a6ffe4c51aa372252430aa1

[ "WTFPL" ]

null

INIT.py

db260179/mullion

3ed599f624ab308f5a6ffe4c51aa372252430aa1

[ "WTFPL" ]

null

INIT.py

db260179/mullion

3ed599f624ab308f5a6ffe4c51aa372252430aa1

[ "WTFPL" ]

null

# Thanks to zecoxao and flatz <3 import struct from binascii import unhexlify as uhx from binascii import hexlify as hx from Crypto.Cipher import AES from Crypto.Hash import SHA, HMAC, CMAC import os import sys EID1KEYS = [ '88228B0F92C4C36AF097F1FE948D27CE', '5794BC8C2131B1E3E7EC61EF14C32EB5', ] I...

38.035714

129

0.559155

502

4,260

4.595618

0.219124

0.05635

0.073255

0.398786

0.328132

0.301691

0.034677

0

0.135986

0.321596

4,260

112

130

38.035714

0.662284

0.007042

0

0.1

0

0.040797

0.031083

0

0.032783

0

1

0.044444

false

0

0.077778

0.033333

0.155556

0.111111

0

null

0

null

0

1

0

74c3c58b7c52752273d5091bfab02b92f9e98a85

10,549

py

Python

dgi/code2graph/class_graph_builder.py

konveyor/tackle-data-gravity-insights

97a3eb6a04a2bca7f7e3422581a8fad055d90c04

[ "Apache-2.0" ]

3

2022-03-28T20:54:34.000Z

2022-03-31T15:14:39.000Z

dgi/code2graph/class_graph_builder.py

rofrano/tackle-data-gravity-insights

f734f023dc46ca8e038b5ba8029e5c1177a1d34f

[ "Apache-2.0" ]

9

2022-03-01T13:29:50.000Z

2022-03-31T13:04:36.000Z

dgi/code2graph/class_graph_builder.py

rofrano/tackle-data-gravity-insights

f734f023dc46ca8e038b5ba8029e5c1177a1d34f

[ "Apache-2.0" ]

3

2022-03-28T14:41:45.000Z

2022-03-30T19:17:31.000Z

################################################################################ # Copyright IBM Corporation 2021, 2022 # # 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.ap...

40.263359

98

0.567921

1,168

10,549

4.864726

0.17637

0.063358

0.031679

0.029039

0.665611

0.583069

0.575678

0.541359

0.495952

0.424498

0

0.004943

0.328752

10,549

261

99

40.417625

0.797486

0.115177

0

0.472527

0

0.039695

0

1

0.038462

false

0

0.06044

0

0.10989

0

null

0

null

0

1

0

74c5c6595e58e5ebc6c9bd0923ccb47fb28a9fb2

3,025

py

Python

tcfcli/cmds/local/common/options.py

dorasang/tcfcli

a24f14aa5a0281822de580479471bd3e83a8778b

[ "Apache-2.0" ]

14

2019-03-01T09:47:36.000Z

2019-11-28T01:58:54.000Z

tcfcli/cmds/local/common/options.py

dorasang/tcfcli

a24f14aa5a0281822de580479471bd3e83a8778b

[ "Apache-2.0" ]

8

2019-03-12T10:22:53.000Z

2020-08-20T08:15:51.000Z

tcfcli/cmds/local/common/options.py

dorasang/tcfcli

a24f14aa5a0281822de580479471bd3e83a8778b

[ "Apache-2.0" ]

7

2019-03-01T09:47:52.000Z

2020-06-13T12:14:48.000Z

import click import os _DEAFULT_TEMPLATE_FILE = 'template.[yaml|yml]' def get_template_abspath(ctx, param, template_name): if template_name == _DEAFULT_TEMPLATE_FILE: template_name = 'template.yaml' tmp = 'template.yml' if os.path.exists(tmp): template_name = tmp return...

32.880435

125

0.551736

326

3,025

4.97546

0.361963

0.101726

0.035142

0.033292

0.107275

0

0.006021

0.341157

3,025

92

126

32.880435

0.807827

0.010579

0

0.063492

0

0.324043

0.016118

0

1

0.079365

false

0.015873

0.031746

0

0.190476

0

null

0

null

0

1

0

74c8da5877fedaee54944d0a1f1f838582ece639

2,049

py

Python

apis/news/query_helper.py

lannguyen0910/SAB

12c787cf592cb26c2a91829038ad1c2f9bac1f16

[ "MIT" ]

3

2021-11-03T14:36:53.000Z

2021-11-18T17:21:28.000Z

apis/news/query_helper.py

lannguyen0910/SAB

12c787cf592cb26c2a91829038ad1c2f9bac1f16

[ "MIT" ]

null

apis/news/query_helper.py

lannguyen0910/SAB

12c787cf592cb26c2a91829038ad1c2f9bac1f16

[ "MIT" ]

null

ERROR_TEXT = "Sources can not be set if country or category is set." class QueryHelper(object): def __init__(self, query=None, category=None, country=None, sources=None, language=None, slack_channel=None): """Constructs the query helper object. Args: name: string, The...

49.97561

87

0.617862

260

2,049

4.830769

0.403846

0.019904

0.022293

0.031051

0.111465

0.08121

0.039809

0

0.007948

0.324549

2,049

40

88

51.225

0.899566

0.632992

0

0.094474

0

1

0.083333

false

0

0.166667

0

null

0

null

0

1

0

74c973a8e5ee64795c61fcb8c64b1477242ab749

1,666

py

Python

final_project/accounts/forms.py

W7SP/project_defense

550152bd82998333444ace099c47feffffb6c3ab

[ "MIT" ]

null

final_project/accounts/forms.py

W7SP/project_defense

550152bd82998333444ace099c47feffffb6c3ab

[ "MIT" ]

null

final_project/accounts/forms.py

W7SP/project_defense

550152bd82998333444ace099c47feffffb6c3ab

[ "MIT" ]

null

from django.contrib.auth import forms as auth_forms, get_user_model from django.core.validators import MinLengthValidator from final_project.accounts.helpers import BootstrapFormMixin from final_project.accounts.models import Profile from django import forms from final_project.main.validators import validate_only_let...

29.75

76

0.67587

185

1,666

5.778378

0.362162

0.06174

0.084191

0.044902

0.063611

0

0.233493

1,666

55

77

30.290909

0.837118

0

0.039016

0

1

0.045455

false

0

0.136364

0

0.386364

0

null

0

null

0

1

0

74c9ebcbbf685433e3347e934c9eb9cfdc882fb1

1,931

py

Python

mobile-analytics/visualisations/funnel_plots.py

trangqdo/mobile-analytics

097bb4596bb11ea186048ba5bc925e84c7fd37cc

[ "Apache-2.0" ]

null

mobile-analytics/visualisations/funnel_plots.py

trangqdo/mobile-analytics

097bb4596bb11ea186048ba5bc925e84c7fd37cc

[ "Apache-2.0" ]

null

mobile-analytics/visualisations/funnel_plots.py

trangqdo/mobile-analytics

097bb4596bb11ea186048ba5bc925e84c7fd37cc

[ "Apache-2.0" ]

null

from plotly import graph_objs as go from stats.funnel import create_funnel_df, group_funnel_dfs def plot_stacked_funnel(events, steps, col=None, from_date=None, to_date=None, step_interval=0): """ Function used for producing a funnel plot :param events: (DataFrame) events dataframe ...

33.293103

118

0.520974

221

1,931

4.425339

0.457014

0.0409

0.046012

0.03681

0.055215

0

0.011775

0.384257

1,931

57

119

33.877193

0.810765

0.252719

0

0.075215

0

1

0.03125

false

0

0.0625

0

0.125

0

null

0

null

0

1

0

74cb877c97af60c6e4b5a8e17a82bc5b28994b1e

1,016

py

Python

segregation/tests/test_local_relative_centralization.py

noahbouchier/segregation

88bd9608251b8bc42eae9265adb7941279b9868c

[ "BSD-3-Clause" ]

92

2019-02-17T02:36:29.000Z

2022-01-22T04:29:10.000Z

segregation/tests/test_local_relative_centralization.py

noahbouchier/segregation

88bd9608251b8bc42eae9265adb7941279b9868c

[ "BSD-3-Clause" ]

128

2019-02-22T03:52:40.000Z

2022-02-28T18:39:01.000Z

segregation/tests/test_local_relative_centralization.py

noahbouchier/segregation

88bd9608251b8bc42eae9265adb7941279b9868c

[ "BSD-3-Clause" ]

29

2019-02-17T02:36:50.000Z

2022-03-17T04:15:49.000Z

import unittest import geopandas as gpd import numpy as np from libpysal.examples import load_example from segregation.local import LocalRelativeCentralization class Local_Relative_Centralization_Tester(unittest.TestCase): def test_Local_Relative_Centralization(self): s_map = gpd.read_file(load_example("...

29.028571

87

0.538386

95

1,016

5.505263

0.621053

0.042065

0.10325

0

0.148903

0.372047

1,016

34

88

29.882353

0.670846

0

0.065945

0

0.034483

1

0.034483

false

0

0.172414

0

0.241379

0

null

0

null

0

1

0

74cf3cdf2e8551d93b756d1f90473ad3386552cc

819

py

Python

python3-ardubus/setup.py

rambo/arDuBUS

d68ec05d75b3f463254039b31c31afec7e752f83

[ "MIT" ]

3

2016-01-31T21:48:37.000Z

2021-01-17T00:39:22.000Z

python3-ardubus/setup.py

rambo/arDuBUS

d68ec05d75b3f463254039b31c31afec7e752f83

[ "MIT" ]

null

python3-ardubus/setup.py

rambo/arDuBUS

d68ec05d75b3f463254039b31c31afec7e752f83

[ "MIT" ]

null

"""Packaging script for ardubus""" import os import subprocess import setuptools GIT_VERSION = 'UNKNOWN' try: GIT_VERSION = subprocess.check_output(['git', 'rev-parse', '--verify', '--short', 'HEAD']).decode('ascii').strip() except subprocess.CalledProcessError: pass setuptools.setup( name='ardubus', ...

31.5

118

0.695971

101

819

5.524752

0.683168

0.053763

0.046595

0.050179

0

0.008392

0.126984

819

25

119

32.76

0.772028

0.034188

0

0.289172

0.026752

0

1

0

false

0.047619

0.142857

0

0.142857

0

null

0

null

0

1

0