xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

131ebdee55bb427354a422cace3807e8ec4ae9ed

3,039

py

Python

src/production_ecommerce/account/models.py

sheriffbarrow/production-ecommerce

cb1a29795ff8e9b4aa95a78df50bb8aa3e5f4350

[ "MIT" ]

1

2020-08-18T16:23:03.000Z

src/production_ecommerce/account/models.py

sheriffbarrow/production-ecommerce

cb1a29795ff8e9b4aa95a78df50bb8aa3e5f4350

[ "MIT" ]

8

2020-06-06T01:06:35.000Z

2021-09-08T01:35:58.000Z

src/production_ecommerce/account/models.py

sheriffbarrow/production-ecommerce

cb1a29795ff8e9b4aa95a78df50bb8aa3e5f4350

[ "MIT" ]

null

from django.db import models from django.contrib.auth.models import AbstractBaseUser, BaseUserManager class MyAccountManager(BaseUserManager): def create_user(self, email, username, password=None): if not email: raise ValueError('Users must have an email address') if not username: raise ValueError('Users m...

33.395604

103

0.763738

418

3,039

5.409091

0.272727

0.035825

0.055728

0.074303

0.749226

0.676692

0.651039

0

0.008403

0.138532

3,039

90

104

33.766667

0.855233

0.166173

0

0.636364

0

0.063366

0

1

0.121212

false

0.060606

0.030303

0.090909

0.712121

0

null

0

1

0

null

0

1

0

2

13209dfae3637157d917f9f553a882a2aac83180

758

py

Python

dbtmetabase/models/config.py

fernandobrito/dbt-metabase

a1fa5a2c7c5e3cf12ead8806d39f6bd3a212fb83

[ "MIT" ]

null

dbtmetabase/models/config.py

fernandobrito/dbt-metabase

a1fa5a2c7c5e3cf12ead8806d39f6bd3a212fb83

[ "MIT" ]

1

2021-08-01T19:29:59.000Z

dbtmetabase/models/config.py

fernandobrito/dbt-metabase

a1fa5a2c7c5e3cf12ead8806d39f6bd3a212fb83

[ "MIT" ]

null

from dataclasses import dataclass, field from typing import Optional, Iterable, Union @dataclass class MetabaseConfig: # Metabase Client database: str host: str user: str password: str # Metabase additional connection opts use_http: bool = False verify: Union[str, bool] = True # Me...

24.451613

59

0.700528

90

758

5.811111

0.5

0.063098

0.086042

0.154876

0.208413

0.14914

0

0.224274

758

30

60

25.266667

0.889456

0.124011

0

0.190476

0

1

0

true

0.047619

0.095238

0

0.904762

0

null

0

null

0

1

0

1

0

2

1321da1b77c6741566badad243b4f02ccf184f31

2,510

py

Python

src/plot_timeseries_outstanding_bytes.py

arunksaha/heap_tracker

0755c6b9c3e4e621efda31c144421a1e67e51a9c

[ "BSD-3-Clause" ]

1

2019-07-22T03:43:49.000Z

src/plot_timeseries_outstanding_bytes.py

arunksaha/heap_tracker

0755c6b9c3e4e621efda31c144421a1e67e51a9c

[ "BSD-3-Clause" ]

null

src/plot_timeseries_outstanding_bytes.py

arunksaha/heap_tracker

0755c6b9c3e4e621efda31c144421a1e67e51a9c

[ "BSD-3-Clause" ]

null

# # Copyright 2018, Arun Saha <arunksaha@gmail.com> # import matplotlib import matplotlib.pyplot as plt import matplotlib.dates as md import datetime as dt import sys import os # Open the file, read the string contents into a list, # and return the list. def GetLinesListFromFile(filename): with open(filename) as f: ...

28.202247

78

0.712749

335

2,510

5.304478

0.507463

0.054024

0.005065

0.006753

0.032639

0.028137

0

0.031784

0.160159

2,510

88

79

28.522727

0.811195

0.359761

0

0.057631

0

0.020833

0

null

0

0.125

null

0.020833

0

null

0

null

0

1

0

1

1324d01927785e4ef25103f8dd91f9cf2502dddb

722

py

Python

import.py

vmariano/meme-classifier

e8d6e73e4a843542143f20381c0741df16d3945d

[ "BSD-3-Clause" ]

null

import.py

vmariano/meme-classifier

e8d6e73e4a843542143f20381c0741df16d3945d

[ "BSD-3-Clause" ]

1

2022-02-07T12:06:59.000Z

import.py

vmariano/meme-classifier

e8d6e73e4a843542143f20381c0741df16d3945d

[ "BSD-3-Clause" ]

1

2022-02-07T02:38:04.000Z

from dotenv import load_dotenv load_dotenv() import sys import os import re import json import psycopg2 from meme_classifier.images import process_image path = sys.argv[1] data = json.load(open(os.path.join(path, 'result.json'), 'r')) chat_id = data['id'] conn = psycopg2.connect(os.getenv('POSTGRES_CREDENTIALS')) ...

26.740741

140

0.67036

108

722

4.361111

0.462963

0.076433

0.042463

0.059448

0.191083

0.11465

0

0.005076

0.18144

722

26

141

27.769231

0.791878

0

0.05

0.228532

0

1

0

false

0

0.35

0

0.35

0.05

0

null

0

null

0

1

0

1

1325914730cb3ee047b3e9ac93790891768376c5

4,269

py

Python

nps/migrations/0013_auto_20180314_1805.py

jak0203/nps-dash

9a3bdb0e55e0c857bcce8ed8df04b52a2b71872f

[ "MIT" ]

null

nps/migrations/0013_auto_20180314_1805.py

jak0203/nps-dash

9a3bdb0e55e0c857bcce8ed8df04b52a2b71872f

[ "MIT" ]

1

2018-03-19T04:08:10.000Z

nps/migrations/0013_auto_20180314_1805.py

jak0203/nps-dash

9a3bdb0e55e0c857bcce8ed8df04b52a2b71872f

[ "MIT" ]

null

# Generated by Django 2.0.3 on 2018-03-15 01:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('nps', '0012_auto_20180314_1600'), ] operations = [ migrations.CreateModel( name='ClientAggregations', fields=[ ...

36.177966

114

0.575076

352

4,269

6.724432

0.235795

0.060837

0.109844

0.126743

0.689058

0.651035

0.624842

0.417406

0.34305

0

0.013955

0.311783

4,269

117

115

36.487179

0.791695

0.010541

0

0.738739

1

0

0.231644

0.054477

0

1

0

false

0

0.009009

0

0.036036

0

null

0

1

0

null

0

2

1325fa5a7b424ce8ba5d22a0e7ac2e6be5ce3b49

9,890

py

Python

docs/schema_mapping.py

NoAnyLove/pydantic

50fd2c5b48ffe611b5c4feb24f26f7202217faab

[ "MIT" ]

1

2020-11-01T00:04:04.000Z

docs/schema_mapping.py

NoAnyLove/pydantic

50fd2c5b48ffe611b5c4feb24f26f7202217faab

[ "MIT" ]

null

docs/schema_mapping.py

NoAnyLove/pydantic

50fd2c5b48ffe611b5c4feb24f26f7202217faab

[ "MIT" ]

1

2021-03-02T02:49:05.000Z

#!/usr/bin/env python3 """ Build a table of Python / Pydantic to JSON Schema mappings. Done like this rather than as a raw rst table to make future edits easier. Please edit this file directly not .tmp_schema_mappings.rst """ table = [ [ 'bool', 'boolean', '', 'JSON Schema Core', ...

23.491686

120

0.458544

873

9,890

5.174112

0.258877

0.090768

0.092982

0.102944

0.43768

0.366394

0.330529

0.303299

0.288466

0

0.010464

0.381598

9,890

420

121

23.547619

0.72809

0.022042

0

0.536765

0

0.014706

0.529077

0.004967

0.007353

0

1

0

false

0.009804

0

null

0

null

0

1

0

13261dbcef738304d7319335d93a1caa3393465f

2,798

py

Python

hubspot3/test/test_broadcast.py

kevin2357/hubspot3

488f6ff4195034317d99431439087443bca1469f

[ "MIT" ]

1

2019-02-25T01:09:51.000Z

hubspot3/test/test_broadcast.py

kevin2357/hubspot3

488f6ff4195034317d99431439087443bca1469f

[ "MIT" ]

null

hubspot3/test/test_broadcast.py

kevin2357/hubspot3

488f6ff4195034317d99431439087443bca1469f

[ "MIT" ]

null

import time import unittest from nose.plugins.attrib import attr from hubspot3.test import helper from hubspot3.broadcast import Broadcast, BroadcastClient class BroadcastClientTest(unittest.TestCase): """ Unit tests for the HubSpot Broadcast API Python client. This file contains some unittest tests for the ...

34.121951

78

0.651537

318

2,798

5.606918

0.396226

0.03926

0.050477

0.023556

0.063937

0.044868

0

0.011063

0.256969

2,798

81

79

34.54321

0.846561

0.162974

0

0.055556

0

0.092401

0

0.148148

1

0.092593

false

0

0.092593

0

0.203704

0.018519

0

null

0

null

0

1

0

1326b5cc799b2031e2e9803af2d0899c97761474

5,166

py

Python

benchmark/benchmarks/testdata.py

theroggy/geofile_ops

1b5ab42169d5c3332c0d8298c5a036257cfd68d5

[ "BSD-3-Clause" ]

null

benchmark/benchmarks/testdata.py

theroggy/geofile_ops

1b5ab42169d5c3332c0d8298c5a036257cfd68d5

[ "BSD-3-Clause" ]

26

2021-12-01T07:46:53.000Z

2022-03-30T23:40:43.000Z

benchmark/benchmarks/testdata.py

theroggy/geofile_ops

1b5ab42169d5c3332c0d8298c5a036257cfd68d5

[ "BSD-3-Clause" ]

1

2021-11-30T17:51:34.000Z

# -*- coding: utf-8 -*- """ Module to prepare test data for benchmarking geo operations. """ import enum import logging from pathlib import Path import pprint import shutil import sys import tempfile from typing import Optional import urllib.request import zipfile # Add path so the benchmark packages are found sys.pa...

34.44

196

0.587108

630

5,166

4.625397

0.288889

0.04324

0.0151

0.025738

0.184626

0.138298

0.107756

0.043926

0

0.016918

0.267712

5,166

149

197

34.671141

0.75337

0.202284

0

0.111111

0

0.011111

0.218943

0.031661

0

1

0.044444

false

0

0.122222

0

0.266667

0.022222

0

null

0

null

0

1

0

13275a03cfbb8b9a14ddc59598aea372c23ea6fb

6,461

py

Python

relocation/depth/setup_relocation_dir.py

ziyixi/SeisScripts

a484bc1747eae52b2441f0bfd47ac7e093150f1d

[ "MIT" ]

null

relocation/depth/setup_relocation_dir.py

ziyixi/SeisScripts

a484bc1747eae52b2441f0bfd47ac7e093150f1d

[ "MIT" ]

null

relocation/depth/setup_relocation_dir.py

ziyixi/SeisScripts

a484bc1747eae52b2441f0bfd47ac7e093150f1d

[ "MIT" ]

null

""" setup earthquake depth relocation directory """ import obspy import sh import numpy as np import click from os.path import join from glob import glob import copy def generate_new_cmtsolution_files(cmts_dir, generated_cmts_dir, depth_perturbation_list): cmt_names = glob(join(cmts_dir, "*")) for cmt_file i...

45.181818

207

0.625445

933

6,461

4.068596

0.165059

0.084826

0.107218

0.047418

0.571391

0.505269

0.463119

0.384089

0.318757

0.292413

0

0.006389

0.224733

6,461

142

208

45.5

0.751447

0.112676

0

0.126316

1

0

0.193514

0

1

0.042105

false

0

0.073684

0

0.115789

0

null

0

1

0

null

0

1

132764a2c0f4e72e8781ad3a0b75e85eb885eb90

12,911

py

Python

python-client/trustedanalytics/core/atktypes.py

blbarker/atk

bcb747d053e801820233a6439c88a457c8cf2438

[ "Apache-2.0" ]

1

2016-04-05T21:57:16.000Z

python-client/trustedanalytics/core/atktypes.py

blbarker/atk

bcb747d053e801820233a6439c88a457c8cf2438

[ "Apache-2.0" ]

null

python-client/trustedanalytics/core/atktypes.py

blbarker/atk

bcb747d053e801820233a6439c88a457c8cf2438

[ "Apache-2.0" ]

null

# vim: set encoding=utf-8 # # Copyright (c) 2015 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requi...

31.036058

191

0.629386

1,609

12,911

4.830329

0.196395

0.055584

0.019815

0.01544

0.265183

0.212429

0.16405

0.141662

0.09264

0.070767

0

0.014162

0.283557

12,911

415

192

31.110843

0.826054

0.293471

0

0.300926

0

0.05398

0

0.004819

0

1

0.134259

false

0.013889

0.023148

0.041667

0.421296

0

null

0

null

0

1

0

132884f1556370e07396101f0cb65bd3696963c4

6,530

py

Python

srd/pageaggregator.py

poikilos/tabletopManualMiner

94a824feabdf0a8efa1bf28670af44820aff9923

[ "MIT" ]

null

srd/pageaggregator.py

poikilos/tabletopManualMiner

94a824feabdf0a8efa1bf28670af44820aff9923

[ "MIT" ]

null

srd/pageaggregator.py

poikilos/tabletopManualMiner

94a824feabdf0a8efa1bf28670af44820aff9923

[ "MIT" ]

null

#!/usr/bin/env python3 import math try: # from PDFPageDetailedAggregator: from pdfminer.pdfdocument import PDFDocument, PDFNoOutlines from pdfminer.pdfparser import PDFParser from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter from pdfminer.converter import PDFPageAggregator ...

36.077348

91

0.467994

568

6,530

5.306338

0.318662

0.021234

0.019907

0.013935

0.091573

0.050431

0.027206

0

0.014963

0.44732

6,530

180

92

36.277778

0.820172

0.072435

0

0.168142

0

0.048513

0

0.005556

0

1

0.035398

false

0.00885

0.061947

0.00885

0.123894

0.00885

0

null

0

null

0

1

0

1328be197a55352f7669047e01b9ed9e941d72e5

1,131

py

Python

ctrltest.py

dkim286/cpsc454-proj

16314802bae3cfbd4d1bf6d7f75a9e6adeb6700d

[ "FTL", "CNRI-Python" ]

null

ctrltest.py

dkim286/cpsc454-proj

16314802bae3cfbd4d1bf6d7f75a9e6adeb6700d

[ "FTL", "CNRI-Python" ]

null

ctrltest.py

dkim286/cpsc454-proj

16314802bae3cfbd4d1bf6d7f75a9e6adeb6700d

[ "FTL", "CNRI-Python" ]

null

from pox.core import core import pox.openflow.libopenflow_01 as of from forwarding.l2_learning import * from tkinter import * from project.firewall import TestFW from project.ui import UI def setup(): top = Toplevel() # quit POX when window is killed top.protocol("WM_DELETE_WINDOW", core.quit) t...

23.5625

82

0.654288

162

1,131

4.462963

0.475309

0.041494

0.045643

0.058091

0

0.028058

0.212202

1,131

47

83

24.06383

0.783389

0.096375

0

0.06588

0

1

0.153846

false

0

0.230769

0

0.384615

0

null

0

null

0

1

0

1328cd1366c0161d1070168617ce0f27d9f43e15

246

py

Python

virtual/lib/python3.6/site-packages/mako/__init__.py

kenmutuma001/Blog

6b19a77b71694bbe9f5e84207de46c68f87ebc5e

[ "Unlicense" ]

1

2019-04-24T21:53:37.000Z

virtual/lib/python3.6/site-packages/mako/__init__.py

kenmutuma001/Blog

6b19a77b71694bbe9f5e84207de46c68f87ebc5e

[ "Unlicense" ]

5

2021-03-19T00:19:04.000Z

2022-01-13T01:12:44.000Z

virtual/lib/python3.6/site-packages/mako/__init__.py

kenmutuma001/Blog

6b19a77b71694bbe9f5e84207de46c68f87ebc5e

[ "Unlicense" ]

2

2019-11-30T10:33:16.000Z

2021-02-03T06:29:40.000Z

# mako/__init__.py # Copyright (C) 2006-2016 the Mako authors and contributors <see AUTHORS file> # # This module is part of Mako and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php __version__ = '1.0.9'

27.333333

78

0.743902

40

246

4.375

0.8

0.114286

0

0.052381

0.146341

246

8

79

30.75

0.780952

0.857724

0

0.172414

0

1

0

false

0

null

0

1

0

1

0

null

0

2

1328eb00ae7fa054c34be04f558ebc32d9e45ce4

10,911

py

Python

image_classification/T2T_ViT/load_pytorch_weights.py

RangeKing/PaddleViT

0e25958686e04ed8872cf67fba0dfd6918e9b4dd

[ "Apache-2.0" ]

null

image_classification/T2T_ViT/load_pytorch_weights.py

RangeKing/PaddleViT

0e25958686e04ed8872cf67fba0dfd6918e9b4dd

[ "Apache-2.0" ]

null

image_classification/T2T_ViT/load_pytorch_weights.py

RangeKing/PaddleViT

0e25958686e04ed8872cf67fba0dfd6918e9b4dd

[ "Apache-2.0" ]

null

# Copyright (c) 2021 PPViT Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable l...

38.284211

93

0.563926

1,475

10,911

3.871864

0.154576

0.048328

0.029942

0.026966

0.421993

0.389074

0.345474

0.257748

0.22693

0.199265

0

0.026944

0.285675

10,911

284

94

38.419014

0.705799

0.089268

0

0.257919

0

0.263801

0.141689

0

0.004525

1

0.027149

false

0

0.040724

0

0.076923

0.122172

0

null

0

null

0

1

0

1329bbbf79a71f88d6626330a68385f854fb0eef

479

py

Python

estimators/__init__.py

j-bac/id-concentration

372bacc846d3d5dd5f99178863fa214fb8d3b292

[ "MIT" ]

null

estimators/__init__.py

j-bac/id-concentration

372bacc846d3d5dd5f99178863fa214fb8d3b292

[ "MIT" ]

null

estimators/__init__.py

j-bac/id-concentration

372bacc846d3d5dd5f99178863fa214fb8d3b292

[ "MIT" ]

null

from ._FisherS import randsphere, preprocessing, SeparabilityAnalysis, point_inseparability_to_pointID from ._call_estimators import TwoNN, run_singleGMST,run_singleCorrDim,runDANCo, runDANCoStats, runDANColoop,runANOVAglobal,runANOVAlocal,radovanovic_estimators_matlab,Hidalgo from ._DANCo import dancoDimEst as danco_p...

59.875

174

0.868476

63

479

6.285714

0.507937

0.060606

0

0.091858

479

7

175

68.428571

0.910345

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

132a98c8a3d62474bea30c75b83e6ea4827d2ca4

265

py

Python

examples/get_message.py

NeroAsmarr/fz-api

d688277b4c616e93c809381ab082cba834964681

[ "MIT" ]

71

2019-12-04T03:58:33.000Z

2022-03-19T11:38:54.000Z

examples/get_message.py

NeroAsmarr/fz-api

d688277b4c616e93c809381ab082cba834964681

[ "MIT" ]

6

2020-01-03T09:56:45.000Z

2022-03-10T09:29:04.000Z

examples/get_message.py

NeroAsmarr/fz-api

d688277b4c616e93c809381ab082cba834964681

[ "MIT" ]

12

2019-11-23T03:37:39.000Z

2021-08-15T09:41:21.000Z

# 获取调课、改课通知例子 from zfnew import GetInfo, Login base_url = '学校教务系统的主页url' lgn = Login(base_url=base_url) lgn.login('账号', '密码') cookies = lgn.cookies # cookies获取方法 person = GetInfo(base_url=base_url, cookies=cookies) message = person.get_message() print(message)

20.384615

52

0.754717

38

265

5.105263

0.5

0.180412

0.123711

0.14433

0

0.120755

265

12

53

22.083333

0.832618

0.086792

0

0.066946

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

132acdacf1ba08411631ef7d5debcacf7e313231

1,030

py

Python

input/gera_entradas.py

AtilioA/Sort-merge-join

6ed3199aada921973833cafffc8cbde5062b76fb

[ "Unlicense" ]

null

input/gera_entradas.py

AtilioA/Sort-merge-join

6ed3199aada921973833cafffc8cbde5062b76fb

[ "Unlicense" ]

null

input/gera_entradas.py

AtilioA/Sort-merge-join

6ed3199aada921973833cafffc8cbde5062b76fb

[ "Unlicense" ]

null

import sys import random from faker import Faker def gera(nLinhas=100, nCampos=None): with open(f"{path}/file{nLinhas}-{nCampos}_python.txt", "w+", encoding="utf8") as file: if not nCampos: nCampos = random.randint(2, 10) camposFuncs = [ fake.name, fake.date, ...

23.953488

91

0.523301

116

1,030

4.508621

0.517241

0.068834

0.038241

0.080306

0

0.035608

0.345631

1,030

42

92

24.52381

0.740356

0

0.104854

0.039806

0

1

0.029412

false

0

0.088235

0

0.117647

0

null

0

null

0

1

0

132ade11b48d56eee57560835a5c3f4f30719ed6

1,639

py

Python

lessons 20/HomeWork/task9.py

zainllw0w/skillbox

896287b6f7f5612cf589094131fd1a12b0b192ba

[ "MIT" ]

null

lessons 20/HomeWork/task9.py

zainllw0w/skillbox

896287b6f7f5612cf589094131fd1a12b0b192ba

[ "MIT" ]

null

lessons 20/HomeWork/task9.py

zainllw0w/skillbox

896287b6f7f5612cf589094131fd1a12b0b192ba

[ "MIT" ]

null

def sort(data, time): tt = False ft = True st = False is_find = True winers_name = set() index = 0 while is_find: index += 1 for key, values in data.items(): if time[0 - index] == int(values[1]) and ft and values[0] not in winers_name: first_id = k...

32.78

90

0.534472

241

1,639

3.510373

0.273859

0.07565

0.042553

0.046099

0.387707

0.364066

0.307329

0.191489

0.078014

0

0.027372

0.3313

1,639

50

91

32.78

0.744526

0

0.111111

0

0.092073

0

1

0.022222

false

0

0.044444

0.088889

0

null

0

null

0

1

0

132ba0fc5dd29581ad43ebacaf74b8069bf64ef6

5,072

py

Python

src/test-apps/happy/test-templates/WeaveInetDNS.py

aiw-google/openweave-core

5dfb14b21d0898ef95bb62ff564cadfeea4b4702

[ "Apache-2.0" ]

1

2021-08-10T12:08:31.000Z

src/test-apps/happy/test-templates/WeaveInetDNS.py

aiw-google/openweave-core

5dfb14b21d0898ef95bb62ff564cadfeea4b4702

[ "Apache-2.0" ]

1

2020-04-30T05:38:44.000Z

src/test-apps/happy/test-templates/WeaveInetDNS.py

aiw-google/openweave-core

5dfb14b21d0898ef95bb62ff564cadfeea4b4702

[ "Apache-2.0" ]

1

2020-06-15T01:50:59.000Z

#!/usr/bin/env python # # Copyright (c) 2016-2017 Nest Labs, Inc. # All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/lice...

29.317919

123

0.636632

649

5,072

4.731895

0.292758

0.049495

0.035819

0.041029

0.11169

0.100619

0.074569

0.050798

0.029306

0

0.005316

0.258281

5,072

172

124

29.488372

0.811005

0.168967

0

0.054945

0

0.149287

0

null

0

0.087912

null

0.010989

0

null

0

null

0

1

0

1

132bada4fd58d52bb6e1891b67b8d0c493944002

6,243

py

Python

funcoes.py

ZezaoDev/Circtrigo

5e5f6be0bdee17d30c2993478ca25409b82b6af3

[ "MIT" ]

null

funcoes.py

ZezaoDev/Circtrigo

5e5f6be0bdee17d30c2993478ca25409b82b6af3

[ "MIT" ]

null

funcoes.py

ZezaoDev/Circtrigo

5e5f6be0bdee17d30c2993478ca25409b82b6af3

[ "MIT" ]

null

import turtle as t import math class circTrigo: def __init__(self): self.raio = 0 self.grau = 0 self.seno = 0 self.cosseno = 0 self.tangente = 0 self.quadrante = 0 self.tema = '' t.bgcolor("black") t.pencolor("white") def seta(s...

30.014423

149

0.492712

775

6,243

3.963871

0.125161

0.125

0.078125

0.045573

0.665039

0.611979

0.586263

0.574544

0.538411

0.514648

0

0.043052

0.378664

6,243

207

150

30.15942

0.748904

0.049175

0

0.708791

0

0.015198

0

1

0.054945

false

0

0.010989

0

0.071429

0.082418

0

null

0

1

0

null

0

1

132bcf51e26ca1f03ed60b32fc0ad65159783864

107

py

Python

examples/catapi/feeder.py

IniZio/py-skygear

88479678f91e678fd931c28295189bfea2148c79

[ "Apache-2.0" ]

8

2016-06-24T03:26:45.000Z

2018-05-12T09:06:33.000Z

examples/catapi/feeder.py

IniZio/py-skygear

88479678f91e678fd931c28295189bfea2148c79

[ "Apache-2.0" ]

183

2016-03-23T08:03:28.000Z

2018-08-14T05:49:45.000Z

examples/catapi/feeder.py

IniZio/py-skygear

88479678f91e678fd931c28295189bfea2148c79

[ "Apache-2.0" ]

24

2016-03-21T02:39:39.000Z

2020-09-17T12:28:58.000Z

def pick_food(name): if name == "chima": return "chicken" else: return "dry food"

15.285714

25

0.53271

13

107

4.307692

0.769231

0

0.345794

107

6

26

17.833333

0.8

0

0.188679

0

1

0.2

false

0

0.6

0

1

0

null

0

1

0

null

0

1

0

3

132c604ed66d104dc1d0fc33432f244eb013965a

7,620

py

Python

esm/model.py

crochereau/esm

881a3b924d3f74e3cddeb6929e91ee7224ef2ebd

[ "MIT" ]

1

2021-01-21T17:54:20.000Z

esm/model.py

crochereau/esm

881a3b924d3f74e3cddeb6929e91ee7224ef2ebd

[ "MIT" ]

null

esm/model.py

crochereau/esm

881a3b924d3f74e3cddeb6929e91ee7224ef2ebd

[ "MIT" ]

null

# 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. import math import torch import torch.nn as nn import torch.nn.functional as F from .modules import ( TransformerLayer, LearnedPosit...

38.1

121

0.600656

927

7,620

4.702265

0.206041

0.038541

0.026841

0.033035

0.283092

0.177564

0.14407

0.086717

0.051847

0

0.013564

0.293701

7,620

199

122

38.291457

0.796358

0.065879

0

0.169811

0

0.043931

0

0.006289

1

0.056604

false

0

0.031447

0.012579

0.119497

0

null

0

null

0

1

0

132d17111128f658179267c44013a769265d45f3

3,392

py

Python

python/tink/aead/kms_envelope_aead.py

bfloch/tink

aac780590902f726a8e7d6c4e3aa1cd75f4b0ed5

[ "Apache-2.0" ]

null

python/tink/aead/kms_envelope_aead.py

bfloch/tink

aac780590902f726a8e7d6c4e3aa1cd75f4b0ed5

[ "Apache-2.0" ]

null

python/tink/aead/kms_envelope_aead.py

bfloch/tink

aac780590902f726a8e7d6c4e3aa1cd75f4b0ed5

[ "Apache-2.0" ]

null

# Copyright 2020 Google LLC. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...

36.085106

79

0.740861

502

3,392

4.844622

0.328685

0.034539

0.031661

0.01727

0.099918

0.058388

0.032072

0

0.006541

0.188679

3,392

93

80

36.473118

0.87718

0.479068

0

0.114286

0

0.002381

0

1

0.085714

false

0

0.2

0

0.371429

0.028571

0

null

0

null

0

1

0

132da230699a189c6467f4c2e09699a5bd87f139

2,168

py

Python

tests/pyb/can.py

LabAixBidouille/micropython

11aa6ba456287d6c80598a7ebbebd2887ce8f5a2

[ "MIT" ]

null

tests/pyb/can.py

LabAixBidouille/micropython

11aa6ba456287d6c80598a7ebbebd2887ce8f5a2

[ "MIT" ]

null

tests/pyb/can.py

LabAixBidouille/micropython

11aa6ba456287d6c80598a7ebbebd2887ce8f5a2

[ "MIT" ]

null

from pyb import CAN CAN.initfilterbanks(14) can = CAN(1) print(can) can.init(CAN.LOOPBACK) print(can) print(can.any(0)) # Catch all filter can.setfilter(0, CAN.MASK16, 0, (0, 0, 0, 0)) can.send('abcd', 123) print(can.any(0)) print(can.recv(0)) can.send('abcd', -1) print(can.recv(0)) can.send('abcd', 0x7FF + 1) pr...

17.626016

45

0.600092

339

2,168

3.837758

0.224189

0.098386

0.10146

0.069946

0.472713

0.392775

0.357417

0.274404

0.233666

0

0.107351

0.20941

2,168

122

46

17.770492

0.651692

0.042897

0

0.612903

0

0.121857

0

0.009671

0

1

0.043011

false

0.021505

0.010753

0

0.053763

0.397849

0

null

0

null

0

1

0

132f2f1fcc81be862b19147ccbf0e1ac78045127

8,995

py

Python

quarkchain/cluster/tests/test_miner.py

TahiG/pyquarkchain

30da626ef6b50bd07b230aac05a3cef7fd7f23cf

[ "MIT" ]

17

2018-12-25T03:41:25.000Z

2020-08-11T06:06:26.000Z

quarkchain/cluster/tests/test_miner.py

TahiG/pyquarkchain

30da626ef6b50bd07b230aac05a3cef7fd7f23cf

[ "MIT" ]

null

quarkchain/cluster/tests/test_miner.py

TahiG/pyquarkchain

30da626ef6b50bd07b230aac05a3cef7fd7f23cf

[ "MIT" ]

5

2018-12-25T07:55:56.000Z

2019-09-11T23:19:59.000Z

import asyncio import time import unittest from typing import Optional from quarkchain.cluster.miner import DoubleSHA256, Miner, MiningWork, validate_seal from quarkchain.config import ConsensusType from quarkchain.core import RootBlock, RootBlockHeader from quarkchain.p2p import ecies from quarkchain.utils import sha...

35

90

0.585103

1,053

8,995

4.831909

0.202279

0.050314

0.04717

0.053459

0.617728

0.551887

0.483294

0.40684

0.397602

0.379914

0

0.02285

0.318844

8,995

256

91

35.136719

0.806104

0.081267

0

0.450495

0

0.014192

0

0.118812

1

0.059406

false

0.004951

0.044554

0

0.153465

0

null

0

null

0

1

0

133006e28697a9c060805e03e6080858eb027007

4,782

py

Python

analysis/networks/autoencoder/train_eval.py

nriesterer/iccm-neural-bound

e14b103ba2c81a197de5b0edf948c19d57f0d3ba

[ "MIT" ]

null

analysis/networks/autoencoder/train_eval.py

nriesterer/iccm-neural-bound

e14b103ba2c81a197de5b0edf948c19d57f0d3ba

[ "MIT" ]

null

analysis/networks/autoencoder/train_eval.py

nriesterer/iccm-neural-bound

e14b103ba2c81a197de5b0edf948c19d57f0d3ba

[ "MIT" ]

null

""" Evaluates the training performance of the autoencoder. """ import time import pandas as pd import numpy as np import torch import torch.optim as optim import torch.nn as nn import ccobra import onehot import autoencoder # General settings training_datafile = '../../data/Ragni-train.csv' test_datafile = '../....

32.310811

94

0.669385

623

4,782

4.908507

0.255217

0.026161

0.018313

0.01864

0.052322

0.039895

0

0.005901

0.22041

4,782

147

95

32.530612

0.814378

0.121497

0

0.063682

0.01221

0

1

0.020619

false

0

0.092784

0

0.134021

0.041237

0

null

0

null

0

1

0

13319b518cfc2b51d7dc1b3515004faa2aab4919

2,170

py

Python

Tools/GAutomator/wpyscripts/uiautomator/uiautomator_manager.py

Aver58/ColaFrameWork

04c6750305ad734b30eceb95b463695b8373845a

[ "MIT" ]

1

2020-12-30T00:33:31.000Z

Tools/GAutomator/wpyscripts/uiautomator/uiautomator_manager.py

wtb521thl/ColaFrameWork

0a8cc589740e045ebde668a76c4a35366b38e62e

[ "MIT" ]

null

Tools/GAutomator/wpyscripts/uiautomator/uiautomator_manager.py

wtb521thl/ColaFrameWork

0a8cc589740e045ebde668a76c4a35366b38e62e

[ "MIT" ]

1

2020-07-27T12:28:56.000Z

#-*- coding: UTF-8 -*- """ Tencent is pleased to support the open source community by making GAutomator available. Copyright (C) 2016 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a...

35

305

0.723502

283

2,170

5.402827

0.519435

0.064094

0.071942

0.031393

0

0.013304

0.168664

2,170

61

306

35.57377

0.834257

0.323963

0

0.114286

0

0.189209

0.03813

0

1

0.085714

false

0

0.142857

0

0.342857

0.028571

0

null

0

null

0

1

0

1334b7e4ac98033a8f1ce868857f5028fcae2b7d

2,261

py

Python

IMU/VTK-6.2.0/Filters/Core/Testing/Python/TestSynchronizedTemplates3D.py

timkrentz/SunTracker

9a189cc38f45e5fbc4e4c700d7295a871d022795

[ "MIT" ]

null

IMU/VTK-6.2.0/Filters/Core/Testing/Python/TestSynchronizedTemplates3D.py

timkrentz/SunTracker

9a189cc38f45e5fbc4e4c700d7295a871d022795

[ "MIT" ]

null

IMU/VTK-6.2.0/Filters/Core/Testing/Python/TestSynchronizedTemplates3D.py

timkrentz/SunTracker

9a189cc38f45e5fbc4e4c700d7295a871d022795

[ "MIT" ]

null

#!/usr/bin/env python import vtk from vtk.test import Testing from vtk.util.misc import vtkGetDataRoot VTK_DATA_ROOT = vtkGetDataRoot() class TestSynchronizedTemplates3D(Testing.vtkTest): def testAll(self): reader = vtk.vtkImageReader() reader.SetDataByteOrderToLittleEndian() reader.SetDataExte...

35.888889

81

0.707651

244

2,261

6.508197

0.504098

0.047859

0.060453

0.108312

0.172544

0

0.059517

0.175144

2,261

62

82

36.467742

0.791957

0.127377

0

0.086957

0

0.016842

0

0.003158

0

1

0.021739

false

0

0.065217

0

0.108696

0

null

0

null

0

1

0

1335259eff2620253efdbb6cb8199b32e7ccadf8

14,913

py

Python

deserialize/__init__.py

iAndriy/deserialize

3552517873d68d3bb953b44dd9512f0e0d045191

[ "MIT" ]

null

deserialize/__init__.py

iAndriy/deserialize

3552517873d68d3bb953b44dd9512f0e0d045191

[ "MIT" ]

null

deserialize/__init__.py

iAndriy/deserialize

3552517873d68d3bb953b44dd9512f0e0d045191

[ "MIT" ]

null

"""A module for deserializing data to Python objects.""" # pylint: disable=unidiomatic-typecheck # pylint: disable=protected-access # pylint: disable=too-many-branches # pylint: disable=wildcard-import import enum import functools import typing from typing import Any, Callable, Dict, List, Optional, Union from deser...

35.507143

148

0.644002

1,751

14,913

5.242147

0.173615

0.080837

0.03508

0.01961

0.266805

0.198279

0.136507

0.129971

0.124414

0

0.000848

0.288004

14,913

419

149

35.591885

0.863628

0.189901

0

0.250896

0

0.115997

0.018425

0

1

0.021505

false

0.003584

0.053763

0

0.154122

0

null

0

null

0

1

0

1335675a9f3e2654ba5bacc0a704284147b3d912

2,518

py

Python

tests/test_get_set.py

snoopyjc/ssf

b995cae0e90d38e3758d4944fb144831f9bae0a5

[ "Apache-2.0" ]

3

2020-10-07T18:28:12.000Z

2020-10-09T15:24:53.000Z

tests/test_get_set.py

snoopyjc/ssf

b995cae0e90d38e3758d4944fb144831f9bae0a5

[ "Apache-2.0" ]

15

2020-10-09T15:23:03.000Z

2020-10-29T04:34:17.000Z

tests/test_get_set.py

snoopyjc/ssf

b995cae0e90d38e3758d4944fb144831f9bae0a5

[ "Apache-2.0" ]

null

from ssf import SSF ssf = SSF(errors='raise') def test_get_set_days(): dn = ssf.get_day_names() assert isinstance(dn, tuple) assert dn == (('Mon', 'Monday'), ('Tue', 'Tuesday'), ('Wed', 'Wednesday'), ('Thu', 'Thursday'), ('Fri', 'Friday'), ('Sat',...

31.475

100

0.496029

349

2,518

3.501433

0.332378

0.10311

0.135025

0.10311

0.355155

0.319149

0.220949

0.209493

0.162029

0.085106

0

0.074849

0.278396

2,518

79

101

31.873418

0.597689

0.01946

0

0.246154

0

0.208283

0

0.4

1

0.046154

false

0.061538

0.015385

0

0.061538

0

null

0

null

0

1

0

1

13356a393bf8946042480c6de66561dc06a9116f

3,796

py

Python

script.py

devppratik/Youtube-Downloader

ccdf31b83fbce2d05711c64dbad729c935c72b8a

[ "MIT" ]

null

script.py

devppratik/Youtube-Downloader

ccdf31b83fbce2d05711c64dbad729c935c72b8a

[ "MIT" ]

null

script.py

devppratik/Youtube-Downloader

ccdf31b83fbce2d05711c64dbad729c935c72b8a

[ "MIT" ]

null

import os import pyfiglet from pytube import YouTube, Playlist file_size = 0 folder_name = "" # Progress Bar def print_progress_bar(iteration, total, prefix='', suffix='', decimals=1, length=100, fill='#', print_end="\r"): percent = ("{0:." + str(decimals) + "f}").format(100 * ...

33.008696

113

0.670443

461

3,796

5.318872

0.284165

0.078303

0.02447

0.023246

0.284666

0.21044

0.179445

0.153344

0.111746

0

0.007005

0.210221

3,796

114

33.298246

0.810874

0.046628

0

0.195122

0

0.148358

0

1

0.097561

false

0

0.036585

0

0.170732

0.195122

0

null

0

null

0

1

0

13372002afbafad592f6b286397c1829136d9e66

1,547

py

Python

test/python/test.py

alex952/cdr

e8dce20c2cc635e5ad8bf16a16ec4f7d9a86ac16

[ "MIT" ]

null

test/python/test.py

alex952/cdr

e8dce20c2cc635e5ad8bf16a16ec4f7d9a86ac16

[ "MIT" ]

null

test/python/test.py

alex952/cdr

e8dce20c2cc635e5ad8bf16a16ec4f7d9a86ac16

[ "MIT" ]

null

# # Copyright 2014-2018 Neueda Ltd. # from cdr import Cdr import unittest field1 = 1 field2 = 2 field3 = 55 class TestCdr(unittest.TestCase): def get_a_cdr(self): d = Cdr() d.setInteger(field1, 123) d.setString(field2, "Hello") d.setString(field3, "World") return d ...

20.355263

59

0.541694

208

1,547

3.889423

0.317308

0.049444

0.033375

0.257108

0.163164

0.103832

0

0.078008

0.312217

1,547

75

60

20.626667

0.682331

0.020039

0

0.288462

0

0.028439

0

0.134615

1

0.153846

false

0

0.038462

0

0.230769

0

null

0

null

0

1

0

1337486fb7ecdf7c5699a609f50b6301a5037cab

32,947

py

Python

vendor/mo_times/vendor/dateutil/tz.py

klahnakoski/auth0-api

eda9c2554c641da76687f64445b8d35543d012d9

[ "MIT" ]

null

vendor/mo_times/vendor/dateutil/tz.py

klahnakoski/auth0-api

eda9c2554c641da76687f64445b8d35543d012d9

[ "MIT" ]

null

vendor/mo_times/vendor/dateutil/tz.py

klahnakoski/auth0-api

eda9c2554c641da76687f64445b8d35543d012d9

[ "MIT" ]

null

""" Copyright (c) 2003-2007 Gustavo Niemeyer <gustavo@niemeyer.net> This module offers extensions to the standard Python datetime module. """ import datetime import os import struct import sys import time from mo_future import PY3, string_types __license__ = "Simplified BSD" __all__ = ["tzutc", "tzoffset", "tzloca...

34.284079

89

0.521049

3,668

32,947

4.502726

0.147492

0.011504

0.009445

0.008234

0.291172

0.214822

0.182792

0.16596

0.126786

0.11177

0

0.012239

0.38996

32,947

960

90

34.319792

0.809493

0.175008

0

0.358187

0

0.040644

0

1

0.090643

false

0.013158

0.017544

0.038012

0.245614

0

null

0

null

0

1

0

1338002c0bb58e1ef6c0115a4fcc0293761a19a5

764

py

Python

example/first_example/window/inputWindow/view.py

suuperhu/Pyside2MVCFramework

c28bd0fbb6b53bb2cdad8d0723b4251fc93319d6

[ "MIT" ]

1

2021-03-11T13:34:41.000Z

example/first_example/window/inputWindow/view.py

suuperhu/Pyside2MVCFramework

c28bd0fbb6b53bb2cdad8d0723b4251fc93319d6

[ "MIT" ]

null

example/first_example/window/inputWindow/view.py

suuperhu/Pyside2MVCFramework

c28bd0fbb6b53bb2cdad8d0723b4251fc93319d6

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ # @SoftwareIDE : PyCharm2020Pro # @ProjectName : PySide2MVCFramework # @FileName : view.py # @Author : 胡守杰 # @Email : 2839414139@qq.com # @ZhFileDescription : # @EnFileDescription : """ import os from pyside2mvcframework.core.v...

26.344828

84

0.649215

78

764

6.153846

0.679487

0.033333

0

0.030457

0.22644

764

28

85

27.285714

0.781726

0.352094

0

0.149897

0.082136

0

1

0

false

0

0.384615

0

0.538462

0.076923

0

null

0

null

0

1

0

1

0

2

133a869b28cf9968a719e243a3266dfb25b637ba

18,998

py

Python

src/finn/custom_op/fpgadataflow/streamingfifo.py

AlexMontgomerie/finn

ec5f67b333ad4db4acf6191c3b5ab5e9067347aa

[ "BSD-3-Clause" ]

283

2019-09-26T10:09:34.000Z

2022-03-09T16:36:23.000Z

src/finn/custom_op/fpgadataflow/streamingfifo.py

AlexMontgomerie/finn

ec5f67b333ad4db4acf6191c3b5ab5e9067347aa

[ "BSD-3-Clause" ]

238

2019-10-04T12:20:26.000Z

2022-03-31T04:50:53.000Z

src/finn/custom_op/fpgadataflow/streamingfifo.py

AlexMontgomerie/finn

ec5f67b333ad4db4acf6191c3b5ab5e9067347aa

[ "BSD-3-Clause" ]

144

2019-09-23T13:46:14.000Z

2022-03-18T12:55:07.000Z

# Copyright (c) 2020, Xilinx # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the follow...

40.25

88

0.600326

2,408

18,998

4.509552

0.20515

0.035454

0.044203

0.023483

0.348098

0.298186

0.244037

0.24063

0.207846

0.19523

0

0.010515

0.294189

18,998

471

89

40.335456

0.799314

0.180282

0

0.263006

0

0.144556

0.018906

0

0.011561

1

0.089595

false

0.028902

0.031792

0.008671

0.193642

0

null

0

null

0

1

0

133a8d431ec24410c6b47b396ebee9494e39f0e3

3,403

py

Python

android_fonts.py

chrissimpkins/android_fonts

f904147774836468a8c011b1596f85577220b140

[ "Apache-2.0" ]

1

2022-01-13T01:47:45.000Z

android_fonts.py

chrissimpkins/android_fonts

f904147774836468a8c011b1596f85577220b140

[ "Apache-2.0" ]

2

2022-01-13T03:54:39.000Z

2022-03-12T01:00:20.000Z

android_fonts.py

chrissimpkins/android_fonts

f904147774836468a8c011b1596f85577220b140

[ "Apache-2.0" ]

1

2022-03-25T20:01:56.000Z

import ast import emoji import os import pandas as pd _SUPPORT_CACHE_CSV = emoji.datafile('emoji_support.csv') _API_LEVELS = { 1: ("(no codename)", "1.0"), 2: ("(no codename)", "1.1"), 3: ("Cupcake", "1.5 "), 4: ("Donut", "1.6 "), 5: ("Eclair", "2.0"), 6: ("Eclair", "2.0.1"), 7: ("Eclair", "2.1 "), 8:...

27.666667

82

0.590949

517

3,403

3.746615

0.324952

0.041301

0.023232

0.017553

0.075374

0.021683

0

0.055936

0.185718

3,403

122

83

27.893443

0.643089

0.063473

0

0.041667

0

0.269437

0.007869

0

1

0.072917

false

0

0.041667

0.010417

0.1875

0

null

0

null

0

1

0

133cca4be64ff28929df70bc44eae2ffd26907ef

5,889

py

Python

tests/test_list.py

amikrop/django-paste

109f6e5a42bdc20f3cb671471b3ce5c9e329148b

[ "MIT" ]

3

2020-11-11T11:28:47.000Z

2022-03-16T11:27:39.000Z

tests/test_list.py

amikrop/django-paste

109f6e5a42bdc20f3cb671471b3ce5c9e329148b

[ "MIT" ]

null

tests/test_list.py

amikrop/django-paste

109f6e5a42bdc20f3cb671471b3ce5c9e329148b

[ "MIT" ]

1

2021-01-05T15:01:06.000Z

import json from django.urls import reverse from rest_framework import status from rest_framework.test import APITestCase from paste import constants from tests.mixins import SnippetListTestCaseMixin from tests.utils import constant, create_snippet, create_user class SnippetListTestCase(SnippetListTestCaseMixin, ...

37.993548

78

0.652742

725

5,889

5.158621

0.204138

0.076203

0.098396

0.064973

0.468984

0.371658

0.286096

0.263102

0.245455

0.234225

0

0.013559

0.248599

5,889

154

79

38.24026

0.831638

0.255561

0

0.22093

0

0.062805

0.005621

0

0.244186

1

0.209302

false

0

0.081395

0

0.325581

0

null

0

null

0

1

0

1

133e3e1f16ff977c264f6c6b6c2854d7503259d9

1,082

py

Python

Algorithmic Toolbox/Greedy Algorithms/Maximum Advertisement Revenue/maximum_ad_revenue.py

ganeshbhandarkar/Python-Projects

a4df933122a6694d249c69d1e8e95b592cf036a0

[ "MIT" ]

9

2020-07-02T06:06:17.000Z

2022-02-26T11:08:09.000Z

Algorithmic Toolbox/Greedy Algorithms/Maximum Advertisement Revenue/maximum_ad_revenue.py

ganeshbhandarkar/Python-Projects

a4df933122a6694d249c69d1e8e95b592cf036a0

[ "MIT" ]

1

2021-11-04T17:26:36.000Z

Algorithmic Toolbox/Greedy Algorithms/Maximum Advertisement Revenue/maximum_ad_revenue.py

ganeshbhandarkar/Python-Projects

a4df933122a6694d249c69d1e8e95b592cf036a0

[ "MIT" ]

8

2021-01-31T10:31:12.000Z

2022-03-13T09:15:55.000Z

# python3 from itertools import permutations def max_dot_product_naive(first_sequence, second_sequence): assert len(first_sequence) == len(second_sequence) assert len(first_sequence) <= 10 ** 3 assert all(0 <= f <= 10 ** 5 for f in first_sequence) assert all(0 <= s <= 10 ** 5 for s in second_sequence...

30.914286

97

0.675601

158

1,082

4.386076

0.272152

0.18759

0.11544

0.132756

0.513709

0.455988

0

0.027875

0.204251

1,082

34

98

31.823529

0.777003

0.00647

0

0.347826

0

0.007456

0

0.391304

0

null

0

0.043478

null

0.043478

0

null

0

null

0

1

0

1

133ed5289cb6b6aa42d9780aa225db43b59d7e06

154

py

Python

HelloWorldPython/IfStatements.py

SamIge7/Tutorials

7a3361768432a6493313d1f0ea1ccc8b2b916aa2

[ "MIT" ]

null

HelloWorldPython/IfStatements.py

SamIge7/Tutorials

7a3361768432a6493313d1f0ea1ccc8b2b916aa2

[ "MIT" ]

null

HelloWorldPython/IfStatements.py

SamIge7/Tutorials

7a3361768432a6493313d1f0ea1ccc8b2b916aa2

[ "MIT" ]

null

hasGoodCredit = True price = 1000000 deposit = 0 if hasGoodCredit: deposit = price/10 else: deposit = price/5 print(f"Deposit needed: £{deposit}")

19.25

36

0.707792

21

154

5.238095

0.666667

0.218182

0

0.087302

0.181818

154

8

36

19.25

0.777778

0

0.167742

0

1

0

false

0

0.125

1

0

null

1

0

1

0

null

0

3

133faca593d6fb1ce0fd475b5ad4b709b64db3a7

1,970

py

Python

main.py

vsundesha/documentation-hub-dependencies

3cdb7c28ceefb7c4ece60fd5e9d3e89640bb0d01

[ "Apache-2.0" ]

null

main.py

vsundesha/documentation-hub-dependencies

3cdb7c28ceefb7c4ece60fd5e9d3e89640bb0d01

[ "Apache-2.0" ]

null

main.py

vsundesha/documentation-hub-dependencies

3cdb7c28ceefb7c4ece60fd5e9d3e89640bb0d01

[ "Apache-2.0" ]

null

import config as props import sys import getopt from GitHubDataFetcher import GitHubDataFetcher from DependencyFile import DependencyFile from ErrorFile import ErrorFile # Github Token TOKEN = props.token OWNER = "" REPOSITORY = "" OUTPUTFILE = "" def showHelp(): print('-r or --repo The name of t...

30.78125

117

0.579695

214

1,970

5.299065

0.38785

0.05291

0.02381

0.037037

0.045855

0

0.001485

0.316244

1,970

63

118

31.269841

0.840386

0.129949

0

0.083333

0

0.020833

0.152161

0

1

0.041667

false

0

0.125

0

0.166667

0.083333

0

null

0

null

0

1

0

133fae22a7b7ebcd7d6ca9fc3157fb56fb5b1062

6,036

py

Python

inference_realesrgan.py

blabra/Real-ESRGAN

bd5c69d2ef30f27cc2a510443451a2dc841aec28

[ "BSD-3-Clause" ]

null

inference_realesrgan.py

blabra/Real-ESRGAN

bd5c69d2ef30f27cc2a510443451a2dc841aec28

[ "BSD-3-Clause" ]

null

inference_realesrgan.py

blabra/Real-ESRGAN

bd5c69d2ef30f27cc2a510443451a2dc841aec28

[ "BSD-3-Clause" ]

null

import argparse import cv2 import glob import os from basicsr.archs.rrdbnet_arch import RRDBNet import time from realesrgan import RealESRGANer from realesrgan.archs.srvgg_arch import SRVGGNetCompact def main(): """Inference demo for Real-ESRGAN. """ parser = argparse.ArgumentParser() parser.add_argu...

43.73913

117

0.647614

803

6,036

4.701121

0.280199

0.028609

0.05404

0.012715

0.301192

0.269404

0.259603

0.244768

0

0.025161

0.229622

6,036

137

118

44.058394

0.786667

0.050862

0

0.239316

0

0.017094

0.272139

0.084529

0

1

0.008547

false

0

0.076923

0

0.08547

0.025641

0

null

0

null

0

1

0

1340144aae426a1da982a7084f1832cdca8e0a63

515

py

Python

examples/Fe__vasp/Fe_fcc_afm_D/Fe_fcc_afm_D_vac_A/clean_vasp.py

eragasa/pypospack

21cdecaf3b05c87acc532d992be2c04d85bfbc22

[ "MIT" ]

4

2018-01-18T19:59:56.000Z

2020-08-25T11:56:52.000Z

examples/Fe__vasp/Fe_fcc_afm_D/Fe_fcc_afm_D_vac_A/clean_vasp.py

eragasa/pypospack

21cdecaf3b05c87acc532d992be2c04d85bfbc22

[ "MIT" ]

1

2018-04-22T23:02:13.000Z

examples/Fe__vasp/Fe_fcc_afm_D/Fe_fcc_afm_D_vac_A/clean_vasp.py

eragasa/pypospack

21cdecaf3b05c87acc532d992be2c04d85bfbc22

[ "MIT" ]

1

2019-09-14T07:04:42.000Z

import os filenames_delete = [ 'CHG', 'CHGCAR', 'CONTCAR', 'DOSCAR', 'EIGENVAL', 'IBZKPT', 'job.err', 'job.out', 'OSZICAR', 'PCDAT', 'REPORT', 'vasp.log', 'vasprun.xml', 'WAVECAR', 'XDATCAR' ] for filename in filenames_delete: try: ...

17.166667

51

0.518447

50

515

5.3

0.78

0.113208

0.150943

0

0.330097

515

29

52

17.758621

0.768116

0

0.252427

0

1

0

false

0

0.037037

0

0.037037

0

null

0

null

0

1

0

1340c125093f2e5f053bbf9519f4a5c3e3aa6a2e

1,195

py

Python

binary_trees/largest_values_in_tree_rows.py

ethyl2/code_challenges

3c9ccca1782f92728e60a515a7ca797f6d470e81

[ "MIT" ]

null

binary_trees/largest_values_in_tree_rows.py

ethyl2/code_challenges

3c9ccca1782f92728e60a515a7ca797f6d470e81

[ "MIT" ]

null

binary_trees/largest_values_in_tree_rows.py

ethyl2/code_challenges

3c9ccca1782f92728e60a515a7ca797f6d470e81

[ "MIT" ]

null

''' Sean Chen's solution. See mine in largest_values_in_each_row.py ''' from collection import deque def largest_values_in_tree_rows(t): rv = [] if t is None: return rv current_depth = 0 current_max = t.value q = deque() # add the root node to the queue at a depth of 0 q.append...

24.895833

61

0.594979

172

1,195

3.994186

0.372093

0.14556

0.043668

0.040757

0

0.006158

0.320502

1,195

47

62

25.425532

0.839901

0.366527

0

0.173913

0

1

0.043478

false

0

0.043478

0

0.173913

0

null

0

null

0

1

0

13422bb3478f929cfdd7d39790b4b35df0ba961e

7,034

py

Python

src/infer/_ExtractSimpleDeformTTA.py

RamsteinWR/PneumoniaRSNA1

08bdba51292307a78ef711c6be4a63faea240ddf

[ "MIT" ]

null

src/infer/_ExtractSimpleDeformTTA.py

RamsteinWR/PneumoniaRSNA1

08bdba51292307a78ef711c6be4a63faea240ddf

[ "MIT" ]

null

src/infer/_ExtractSimpleDeformTTA.py

RamsteinWR/PneumoniaRSNA1

08bdba51292307a78ef711c6be4a63faea240ddf

[ "MIT" ]

null

import json import os import re import numpy as np import pandas as pd from src.infer.ExtractDeformableTTA import MAPPINGS_PATH, test_image_set, METADATA_PATH, RCNN0_DETS_DIR WDIR = os.path.dirname(os.path.abspath(__file__)) def get_results(det_folder, test_set, suffix): filepath = os.path.join(det_folder, tes...

44.238994

115

0.598806

918

7,034

4.262527

0.19281

0.067467

0.064401

0.039356

0.277536

0.203424

0.187835

0.132635

0.064401

0

0.031558

0.279215

7,034

158

116

44.518987

0.740237

0.018197

0

0.181102

0

0.067654

0.009727

0

1

0.03937

false

0

0.055118

0

0.133858

0

null

0

null

0

1

0

1342626b945cae1f2c60f3de7811ba70848e89f4

1,896

py

Python

pool4.py

yfii/yfiiapi

2c0341b66108f99005dc5a40e3d1d30267f50bb5

[ "MIT" ]

4

2020-09-11T12:31:37.000Z

2020-12-14T04:42:05.000Z

pool4.py

yfii/yfiiapi

2c0341b66108f99005dc5a40e3d1d30267f50bb5

[ "MIT" ]

1

2020-10-07T11:03:07.000Z

pool4.py

yfii/yfiiapi

2c0341b66108f99005dc5a40e3d1d30267f50bb5

[ "MIT" ]

9

2020-09-25T17:54:50.000Z

2021-06-05T05:36:14.000Z

from web3 import Web3, HTTPProvider import json w3url = "https://mainnet.infura.io/v3/998f64f3627548bbaf2630599c1eefca" w3 = Web3(HTTPProvider(w3url)) WETH = "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2" YFII = "0xa1d0E215a23d7030842FC67cE582a6aFa3CCaB83" DAI = "0x6B175474E89094C44Da98b954EedeAC495271d0F" iUSDT = "0x...

29.169231

86

0.730485

200

1,896

6.815

0.395

0.062362

0.038151

0.061629

0.287601

0.19956

0.098313

0

0.153514

0.144515

1,896

64

87

29.625

0.686806

0

0.045455

0

0.214135

0.14557

0

0.132911

0

1

0.090909

false

0

0.045455

0.022727

0.227273

0.022727

0

null

0

null

0

1

0

13427c6b2da4367eae23b3d65430a2f826b58232

106,827

py

Python

obswebsocket/requests.py

PanBartosz/obs-websocket-py

e92960a475d3f1096a4ea41763cbc776b23f0a37

[ "MIT" ]

123

2017-06-19T05:34:58.000Z

2022-03-23T12:48:19.000Z

obswebsocket/requests.py

PanBartosz/obs-websocket-py

e92960a475d3f1096a4ea41763cbc776b23f0a37

[ "MIT" ]

67

2017-06-20T11:31:08.000Z

2022-03-25T20:30:41.000Z

obswebsocket/requests.py

PanBartosz/obs-websocket-py

e92960a475d3f1096a4ea41763cbc776b23f0a37

[ "MIT" ]

51

2017-10-09T19:03:12.000Z

2022-03-28T19:25:02.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # THIS FILE WAS GENERATED BY generate_classes.py - DO NOT EDIT # # (Generated on 2020-12-20 18:26:33.661372) # from .base_classes import Baserequests class GetVersion(Baserequests): """Returns the latest version of the plugin and the API. :Returns: *vers...

29.682412

417

0.601075

11,295

106,827

5.570075

0.092253

0.049592

0.034714

0.049592

0.521458

0.443733

0.362686

0.318419

0.260149

0.206631

0

0.003246

0.307797

106,827

3,598

418

29.690661

0.847564

0.508869

0

0.384283

1

0

0.141892

0.016215

0

1

0.240069

false

0

0.000864

0.134715

0.481002

0

null

0

1

0

null

0

1

0

1

0

3

134494ea81ba3a532d6b1f91e17ecbbfebb61032

157

py

Python

simple_history/tests/custom_user/admin.py

rdurica/django-simple-history

84d17f40be68e9ac7744b773451be83720c4c13a

[ "BSD-3-Clause" ]

911

2015-01-05T13:21:17.000Z

2020-06-07T07:11:53.000Z

simple_history/tests/custom_user/admin.py

rdurica/django-simple-history

84d17f40be68e9ac7744b773451be83720c4c13a

[ "BSD-3-Clause" ]

492

2015-01-01T18:20:20.000Z

2020-06-06T17:34:01.000Z

simple_history/tests/custom_user/admin.py

rdurica/django-simple-history

84d17f40be68e9ac7744b773451be83720c4c13a

[ "BSD-3-Clause" ]

307

2015-02-01T00:45:51.000Z

2020-06-06T15:39:29.000Z

from django.contrib import admin from django.contrib.auth.admin import UserAdmin from .models import CustomUser admin.site.register(CustomUser, UserAdmin)

22.428571

47

0.834395

21

157

6.238095

0.52381

0.152672

0.259542

0

0.101911

157

6

48

26.166667

0.929078

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

1345874b0ae4768978973e82f88c986754ca58f9

7,109

py

Python

tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/custom_evaluators/mtcnn_evaluator_utils.py

Pandinosaurus/open_model_zoo

2543996541346418919c5cddfb71e33e2cdef080

[ "Apache-2.0" ]

1

2019-05-31T14:01:42.000Z

tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/custom_evaluators/mtcnn_evaluator_utils.py

Pandinosaurus/open_model_zoo

2543996541346418919c5cddfb71e33e2cdef080

[ "Apache-2.0" ]

null

tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/custom_evaluators/mtcnn_evaluator_utils.py

Pandinosaurus/open_model_zoo

2543996541346418919c5cddfb71e33e2cdef080

[ "Apache-2.0" ]

null

""" Copyright (c) 2018-2022 Intel Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in wri...

39.494444

120

0.623435

1,145

7,109

3.684716

0.175546

0.064707

0.11946

0.112586

0.310974

0.252192

0.226594

0.212373

0.1799

0

0.032146

0.229849

7,109

179

121

39.715084

0.738447

0.089886

0

0.111111

0

0.01687

0

1

0.055556

false

0.027778

0

0.138889

0

null

0

null

0

1

0

134646519d68e17184a83f90eaeb23182da3950c

8,849

py

Python

pytests/Atomicity/basic_ops.py

ashwin2002/TAF

4223787a1f4c0fe9fa841543020b48ada9ade9e3

[ "Apache-2.0" ]

null

pytests/Atomicity/basic_ops.py

ashwin2002/TAF

4223787a1f4c0fe9fa841543020b48ada9ade9e3

[ "Apache-2.0" ]

null

pytests/Atomicity/basic_ops.py

ashwin2002/TAF

4223787a1f4c0fe9fa841543020b48ada9ade9e3

[ "Apache-2.0" ]

null

from Cb_constants import DocLoading from basetestcase import ClusterSetup from couchbase_helper.documentgenerator import DocumentGenerator, doc_generator from couchbase_helper.tuq_generators import JsonGenerator from remote.remote_util import RemoteMachineShellConnection from sdk_client3 import SDKClient from com.couc...

42.138095

79

0.600181

1,019

8,849

4.996075

0.223749

0.025535

0.02475

0.032999

0.413082

0.396975

0.385582

0.363976

0

0.010176

0.311448

8,849

209

80

42.339713

0.825373

0.063284

0

0.322981

0

0.093364

0

0.012422

1

0.043478

false

0

0.043478

0

0.10559

0

null

0

null

0

1

0

1346bfc37ba0726e8df79447049dc235a411088d

509

py

Python

reverseWord.py

lovefov/Python

ba8fc49e6e503927dc1f827f37b77f3e43b5d0c8

[ "MIT" ]

null

reverseWord.py

lovefov/Python

ba8fc49e6e503927dc1f827f37b77f3e43b5d0c8

[ "MIT" ]

null

reverseWord.py

lovefov/Python

ba8fc49e6e503927dc1f827f37b77f3e43b5d0c8

[ "MIT" ]

1

2021-02-08T08:48:44.000Z

#!/usr/bin/env python3 #-*- coding:utf-8 -*- #Author:贾江超 def spin_words(sentence): list1=sentence.split() l=len(list1) for i in range(l): relen = len(sentence.split()[i:][0]) if relen > 5: list1[i]=list1[i][::-1] return ' '.join(list1) ''' 注意在2.x版本可以用len()得到list的长度 3.x版本就不行...

19.576923

81

0.569745

75

509

3.84

0.586667

0.135417

0.083333

0.138889

0

0.03876

0.239686

509

25

82

20.36

0.705426

0.100196

0

0.004386

0

1

0.125

false

0

0.25

0

null

0

null

0

1

0

1346de71efda2a56a9fe39787dfce52620463eb1

3,461

py

Python

src/scs_host/comms/network_socket.py

south-coast-science/scs_host_cpc

08b4a28c022936462b60823cca136ba6746eac57

[ "MIT" ]

null

src/scs_host/comms/network_socket.py

south-coast-science/scs_host_cpc

08b4a28c022936462b60823cca136ba6746eac57

[ "MIT" ]

null

src/scs_host/comms/network_socket.py

south-coast-science/scs_host_cpc

08b4a28c022936462b60823cca136ba6746eac57

[ "MIT" ]

null

""" Created on 30 May 2017 @author: Bruno Beloff (bruno.beloff@southcoastscience.com) A network socket abstraction, implementing ProcessComms """ import socket import time from scs_core.sys.process_comms import ProcessComms # ----------------------------------------------------------------------------------------...

27.251969

118

0.428489

266

3,461

5.25188

0.368421

0.07874

0.054402

0.031496

0.230494

0.18325

0.141732

0.091625

0

0.010731

0.299913

3,461

126

119

27.468254

0.565827

0.271309

0

0.344262

0

0.016234

0.010552

0

1

0.114754

false

0.032787

0.04918

0.016393

0.262295

0

null

0

null

0

1

0

13470b2018f5f54dbcfea9b085e57cd30b1be672

15,182

py

Python

dateparser/date.py

JKhakpour/dateparser

7f324cfd3de04e91752979cf65ae0dedc622375f

[ "BSD-3-Clause" ]

2

2019-03-12T10:50:15.000Z

2021-07-07T14:38:58.000Z

dateparser/date.py

JKhakpour/dateparser

7f324cfd3de04e91752979cf65ae0dedc622375f

[ "BSD-3-Clause" ]

null

dateparser/date.py

JKhakpour/dateparser

7f324cfd3de04e91752979cf65ae0dedc622375f

[ "BSD-3-Clause" ]

1

2018-03-07T13:25:16.000Z

# -*- coding: utf-8 -*- import calendar import collections from datetime import datetime, timedelta from warnings import warn import six import regex as re from dateutil.relativedelta import relativedelta from dateparser.date_parser import date_parser from dateparser.freshness_date_parser import freshness_date_parser...

38.338384

114

0.640364

1,876

15,182

4.943497

0.188699

0.030947

0.024154

0.015096

0.26019

0.177054

0.104593

0.035799

0.025232

0

0.012166

0.258266

15,182

395

115

38.435443

0.811384

0.194177

0

0.15444

0

0.003861

0.083747

0.008408

0

1

0.084942

false

0

0.050193

0.011583

0.266409

0

null

0

null

0

1

0

1347a75f9a9bad0cfccf1c5a976700bd26f857d2

8,817

py

Python

src/models/functions/connection/mixture_density_network.py

kristofbc/handwriting-synthesis

16505e89fd7275d4cd3ed9c4388c9f3c153a0397

[ "FTL" ]

null

src/models/functions/connection/mixture_density_network.py

kristofbc/handwriting-synthesis

16505e89fd7275d4cd3ed9c4388c9f3c153a0397

[ "FTL" ]

null

src/models/functions/connection/mixture_density_network.py

kristofbc/handwriting-synthesis

16505e89fd7275d4cd3ed9c4388c9f3c153a0397

[ "FTL" ]

null

import chainer import chainer.functions from chainer.utils import type_check from chainer import cuda from chainer import function import numpy as np #from chainer import function_node from utils import clip_grad #class MixtureDensityNetworkFunction(function_node.FunctionNode): class MixtureDensityNetworkFunction(fu...

40.260274

142

0.576613

1,480

8,817

3.098649

0.128378

0.074575

0.051897

0.032708

0.35543

0.305495

0.245312

0.210641

0.178151

0.146751

0

0.052769

0.303618

8,817

218

143

40.444954

0.694137

0.229103

0

0.077519

0

0.015504

0.032969

0

1

0.03876

false

0.007752

0.054264

0

0.131783

0

null

0

null

0

1

0

134809d310a2c2bc00124d8b1a5104d5d2cb92b6

939

py

Python

flask__webservers/bootstrap_4__toggle_switch__examples/main.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

null

flask__webservers/bootstrap_4__toggle_switch__examples/main.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

null

flask__webservers/bootstrap_4__toggle_switch__examples/main.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = 'ipetrash' # SOURCE: https://github.com/twbs/bootstrap # SOURCE: https://github.com/gitbrent/bootstrap4-toggle # SOURCE: https://gitbrent.github.io/bootstrap4-toggle/ from flask import Flask, render_template app = Flask(__name__) import logging logging.b...

22.357143

87

0.631523

119

939

4.831933

0.613445

0.057391

0.05913

0.069565

0

0.021216

0.247071

939

41

88

22.902439

0.792079

0.556976

0

0.067332

0

1

0.071429

false

0

0.142857

0.071429

0.285714

0

null

0

null

0

1

0

134951456249066bc57415ee60860d0f10fe18d8

160

py

Python

dev/phonts/visualization/phonts.py

eragasa/pypospack

21cdecaf3b05c87acc532d992be2c04d85bfbc22

[ "MIT" ]

4

2018-01-18T19:59:56.000Z

2020-08-25T11:56:52.000Z

dev/phonts/visualization/phonts.py

eragasa/pypospack

21cdecaf3b05c87acc532d992be2c04d85bfbc22

[ "MIT" ]

1

2018-04-22T23:02:13.000Z

dev/phonts/visualization/phonts.py

eragasa/pypospack

21cdecaf3b05c87acc532d992be2c04d85bfbc22

[ "MIT" ]

1

2019-09-14T07:04:42.000Z

import pypospack.io.phonts as phonts # <---- additional classes and functions in which to add top # <---- pypospack.io.phonts if __name__ == "__main__":

20

60

0.6875

21

160

4.857143

0.809524

0.215686

0.333333

0

0.18125

160

7

61

22.857143

0.778626

0.55

0

0.117647

0

null

0

0.5

null

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

13495c72390c53605e37531f81078eacc3f25cd2

30,078

py

Python

omegaconf/_utils.py

sugatoray/omegaconf

edf9e86493a14b0e909e956d9bae59b9861ef9c5

[ "BSD-3-Clause" ]

1,091

2018-09-06T17:27:12.000Z

2022-03-31T13:47:45.000Z

omegaconf/_utils.py

sugatoray/omegaconf

edf9e86493a14b0e909e956d9bae59b9861ef9c5

[ "BSD-3-Clause" ]

624

2019-06-11T20:53:19.000Z

2022-03-30T20:44:25.000Z

omegaconf/_utils.py

sugatoray/omegaconf

edf9e86493a14b0e909e956d9bae59b9861ef9c5

[ "BSD-3-Clause" ]

71

2019-06-14T05:32:45.000Z

2022-03-27T19:52:35.000Z

import copy import os import re import string import sys import warnings from contextlib import contextmanager from enum import Enum from textwrap import dedent from typing import ( Any, Dict, Iterator, List, Optional, Tuple, Type, Union, get_type_hints, ) import yaml from .errors ...

30.849231

109

0.619423

3,937

30,078

4.488951

0.128524

0.013863

0.012222

0.001811

0.303288

0.257568

0.186726

0.160358

0.156284

0.136253

0

0.004698

0.27821

30,078

974

110

30.880903

0.809351

0.159618

0

0.26003

0

0.001486

0.048523

0.008652

0

0.010401

1

0.087667

false

0

0.056464

0.019316

0.291233

0

null

0

null

0

1

0

134ae941abed7aefa64cace4d2b745626ee1b2ee

28,935

py

Python

darc/amber_clustering.py

loostrum/darc

977f43652ff4fc873340d09ac0fddeb81b889541

[ "Apache-2.0" ]

null

darc/amber_clustering.py

loostrum/darc

977f43652ff4fc873340d09ac0fddeb81b889541

[ "Apache-2.0" ]

47

2019-08-27T08:07:06.000Z

2022-03-04T10:10:40.000Z

darc/amber_clustering.py

loostrum/darc

977f43652ff4fc873340d09ac0fddeb81b889541

[ "Apache-2.0" ]

1

2020-11-24T09:27:56.000Z

#!/usr/bin/env python3 # # AMBER Clustering import os from time import sleep import yaml import ast import threading import multiprocessing as mp import numpy as np from astropy.time import Time, TimeDelta import astropy.units as u from astropy.coordinates import SkyCoord from darc import DARCBase, VOEventQueueServe...

44.930124

118

0.55718

3,316

28,935

4.707479

0.145054

0.025625

0.017937

0.007495

0.240423

0.201986

0.174375

0.148815

0.140807

0

0.003566

0.36029

28,935

643

119

45

0.839762

0.207258

0

0.340686

0

0.136229

0.007971

0

1

0.029412

false

0.009804

0.036765

0

0.102941

0

null

0

null

0

1

0

134b9c14653c7fb4e1904d66229452a0dbe85152

9,811

py

Python

tools/load_demo_data.py

glenn2763/skyportal

79dc11bfe08076d9c1f920bad85681ab001e22c8

[ "BSD-3-Clause" ]

null

tools/load_demo_data.py

glenn2763/skyportal

79dc11bfe08076d9c1f920bad85681ab001e22c8

[ "BSD-3-Clause" ]

null

tools/load_demo_data.py

glenn2763/skyportal

79dc11bfe08076d9c1f920bad85681ab001e22c8

[ "BSD-3-Clause" ]

null

import datetime import os import subprocess import base64 from pathlib import Path import shutil import pandas as pd import signal import requests from baselayer.app.env import load_env from baselayer.app.model_util import status, create_tables, drop_tables from social_tornado.models import TornadoStorage from skyport...

37.446565

88

0.428804

835

9,811

4.838323

0.323353

0.029703

0.038119

0.017327

0.126733

0.101485

0.065842

0.045545

0

0.02218

0.466925

9,811

261

89

37.590038

0.750287

0

0.165217

0

0.172745

0.025232

0

0.056522

1

0.004348

false

0

0.069565

0

0.078261

0.021739

0

null

0

null

0

1

0

134f9288b26ce3d17a1dc1a42f04cbaea4914dea

1,537

py

Python

framework/Exploits/CUTEFLOW_0024.py

UncleWillis/BugBox

25682f25fc3222db383649a4924bcd65f2ddcb34

[ "BSD-3-Clause" ]

1

2019-01-25T21:32:42.000Z

framework/Exploits/CUTEFLOW_0024.py

UncleWillis/BugBox

25682f25fc3222db383649a4924bcd65f2ddcb34

[ "BSD-3-Clause" ]

null

framework/Exploits/CUTEFLOW_0024.py

UncleWillis/BugBox

25682f25fc3222db383649a4924bcd65f2ddcb34

[ "BSD-3-Clause" ]

1

2021-06-23T04:44:25.000Z

# Copyright 2013 University of Maryland. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE.TXT file. import sys import os import time from selenium.common.exceptions import NoAlertPresentException import framework class Exploit (framework.Exploit...

29

134

0.582954

160

1,537

5.525

0.625

0.010181

0.024887

0.027149

0

0.028116

0.305791

1,537

52

135

29.557692

0.800375

0.1054

0

0.058824

0

0.029412

0.243066

0

1

0.088235

false

0

0.147059

0.029412

0.382353

0

null

0

null

0

1

0

134fbec769aed9e0795c724b3dcc54286150a284

10,720

py

Python

telethon/tl/custom/button.py

HosseyNJF/Telethon

0b0a1dc6a1a3f2fc8593526549889fba2884e8b8

[ "MIT" ]

4

2020-11-28T08:50:07.000Z

2020-12-13T03:44:05.000Z

telethon/tl/custom/button.py

HosseyNJF/Telethon

0b0a1dc6a1a3f2fc8593526549889fba2884e8b8

[ "MIT" ]

4

2020-10-11T15:40:17.000Z

2020-10-22T09:06:58.000Z

telethon/tl/custom/button.py

HosseyNJF/Telethon

0b0a1dc6a1a3f2fc8593526549889fba2884e8b8

[ "MIT" ]

2

2020-01-16T12:21:02.000Z

2021-12-16T01:30:11.000Z

from .. import types from ... import utils class Button: """ .. note:: This class is used to **define** reply markups, e.g. when sending a message or replying to events. When you access `Message.buttons <telethon.tl.custom.message.Message.buttons>` they are actually `MessageBu...

40.916031

79

0.638619

1,441

10,720

4.713393

0.229702

0.025766

0.017668

0.020024

0.262073

0.257362

0.238221

0.21702

0.209953

0.199352

0

0.002515

0.295149

10,720

261

80

41.072797

0.895977

0.641511

0

0.276923

0

0.013186

0

1

0.184615

false

0

0.030769

0

0.4

0

null

0

null

0

1

0

134fdc98faac6c7e555a1d8a47d4c15e48a09ce5

1,575

py

Python

src/main/resources/pys/join.py

addUsername/javaBoring

d576adbd21447085f56719e8cc871faf94d8a369

[ "MIT" ]

null

src/main/resources/pys/join.py

addUsername/javaBoring

d576adbd21447085f56719e8cc871faf94d8a369

[ "MIT" ]

null

src/main/resources/pys/join.py

addUsername/javaBoring

d576adbd21447085f56719e8cc871faf94d8a369

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Jul 7 20:14:22 2020 Simple script to join json files @author: SERGI """ import json import sys import os def readJson(path): with open(path, "r") as file: return json.load(file) def writeJson(path, dicc): with open(path, "w") as file...

28.125

82

0.533333

206

1,575

3.893204

0.364078

0.093516

0.05611

0.062344

0.107232

0.089776

0.047382

0

0.033389

0.239365

1,575

56

83

28.125

0.63606

0.215873

0

0.110351

0

1

0.064516

false

0

0.096774

0

0.193548

0.129032

0

null

0

null

0

1

0

1351156463c6a25e82b73e57ee20368b3d832d46

2,017

py

Python

app/grandchallenge/challenges/migrations/0023_auto_20200123_1102.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

1

2021-02-09T10:30:44.000Z

app/grandchallenge/challenges/migrations/0023_auto_20200123_1102.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

app/grandchallenge/challenges/migrations/0023_auto_20200123_1102.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

# Generated by Django 3.0.2 on 2020-01-23 11:02 import re import django.contrib.postgres.fields.citext import django.core.validators from django.db import migrations import grandchallenge.challenges.models class Migration(migrations.Migration): dependencies = [ ("challenges", "0022_auto_20200121_1639"...

36.017857

103

0.543877

182

2,017

5.923077

0.434066

0.050093

0.139147

0.141002

0.715213

0.684601

0

0.030374

0.363411

2,017

55

104

36.672727

0.80919

0.02231

0

0.723404

1

0

0.209645

0.011675

0

1

0

false

0

0.106383

0

0.170213

0

null

0

1

0

1

0

null

0

3

13513f9e059c5209134cdb28c07c7e40eb9e7c97

8,756

py

Python

autosk_dev_test/component/LinReg.py

hmendozap/master-arbeit-files

5c1b90bc4a424313234b84bad405799de6f8d2ed

[ "MIT" ]

2

2018-01-18T06:25:21.000Z

2018-12-11T07:43:09.000Z

autosk_dev_test/component/LinReg.py

hmendozap/master-arbeit-files

5c1b90bc4a424313234b84bad405799de6f8d2ed

[ "MIT" ]

1

2016-03-29T07:55:18.000Z

autosk_dev_test/component/LinReg.py

hmendozap/master-arbeit-files

5c1b90bc4a424313234b84bad405799de6f8d2ed

[ "MIT" ]

null

import numpy as np import scipy.sparse as sp from HPOlibConfigSpace.configuration_space import ConfigurationSpace from HPOlibConfigSpace.conditions import EqualsCondition, InCondition from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \ UniformIntegerHyperparameter, CategoricalHyperparameter...

44.222222

102

0.489721

773

8,756

5.335058

0.208279

0.020611

0.055286

0.006547

0.117119

0.079777

0.03904

0.033948

0.024248

0

0.027104

0.439584

8,756

197

103

44.446701

0.813328

0.010736

0

0.0875

0

0.035001

0.002541

0

1

0.04375

false

0

0.05

0.00625

0.1375

0

null

0

null

0

1

0

13526b6d17cc702b79611d77af35c9e1a3a2bf4e

278

py

Python

python_work/Chapter5/exe3_alien_color.py

Elektra-2/python_crash_course_2nd

1c8beaddfe037faa3a36e7c384a6ea2f9d560060

[ "MIT" ]

1

2020-08-25T18:42:30.000Z

python_work/Chapter5/exe3_alien_color.py

Elektra-2/python_crash_course_2nd

1c8beaddfe037faa3a36e7c384a6ea2f9d560060

[ "MIT" ]

null

python_work/Chapter5/exe3_alien_color.py

Elektra-2/python_crash_course_2nd

1c8beaddfe037faa3a36e7c384a6ea2f9d560060

[ "MIT" ]

null

# Creating a elif chain alien_color = 'red' if alien_color == 'green': print('Congratulations! You won 5 points!') elif alien_color == 'yellow': print('Congratulations! You won 10 points!') elif alien_color == 'red': print('Congratulations! You won 15 points!')

25.272727

48

0.683453

37

278

5.027027

0.486486

0.215054

0.370968

0.419355

0

0.022026

0.183453

278

10

49

27.8

0.797357

0.07554

0

0.478261

0

1

0

false

0

0.428571

0

null

1

0

null

0

1

0

4

13532d8edfc3e8c0a315f5cb2ba2e9ad01f479b5

2,427

py

Python

DigiPsych_API/Data_Science_API/evaluate_model.py

larryzhang95/Voice-Analysis-Pipeline

264ac5c70d0baab47b81718ea5b895be30a683e9

[ "Apache-2.0" ]

7

2019-06-22T21:03:50.000Z

2021-11-21T19:46:55.000Z

DigiPsych_API/Data_Science_API/evaluate_model.py

larryzhang95/Voice-Analysis-Pipeline

264ac5c70d0baab47b81718ea5b895be30a683e9

[ "Apache-2.0" ]

null

DigiPsych_API/Data_Science_API/evaluate_model.py

larryzhang95/Voice-Analysis-Pipeline

264ac5c70d0baab47b81718ea5b895be30a683e9

[ "Apache-2.0" ]

3

2019-09-15T01:50:39.000Z

2021-12-22T02:36:36.000Z

import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt from sklearn.model_selection import learning_curve # Plot learning curve def plot_learning_curve(estimator, title, X, y, ylim=None, cv=None, n_jobs=1, train_sizes=np.linspace(.1, 1.0, 5)): plt.figu...

42.578947

115

0.674083

370

2,427

4.186486

0.202703

0.092318

0.056811

0.054229

0.511298

0.356359

0.204003

0.056811

0

0.015432

0.199011

2,427

56

116

43.339286

0.781379

0.016893

0

0.081633

0

0.051616

0

1

0.040816

false

0

0.102041

0

0.163265

0

null

0

null

0

1

0

13539ceb0c44529e049d271d3d684efaaf1e9dee

121

py

Python

oomi/__init__.py

sremes/oomi

312317aa2ef68f1481b2447652a7d47c5f2e3f56

[ "MIT" ]

null

oomi/__init__.py

sremes/oomi

312317aa2ef68f1481b2447652a7d47c5f2e3f56

[ "MIT" ]

null

oomi/__init__.py

sremes/oomi

312317aa2ef68f1481b2447652a7d47c5f2e3f56

[ "MIT" ]

null

"""Utilities for downloading comsumption data from Oomi.""" from oomi.oomi_downloader import OomiDownloader, OomiConfig

30.25

59

0.818182

14

121

7

0.785714

0.163265

0

0.107438

121

3

60

40.333333

0.907407

0.438017

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1354ab456ba9280a4363560bf56997305ed54a5f

3,692

py

Python

BaseTools/Source/Python/UPT/Object/Parser/InfMisc.py

KaoTuz/edk2-stable202108

49d9306e7bf64b2f07d8473be1f2faea49d0a012

[ "Python-2.0", "Zlib", "BSD-2-Clause", "MIT", "BSD-2-Clause-Patent", "BSD-3-Clause" ]

9

2021-07-26T17:02:51.000Z

2021-12-30T10:49:46.000Z

BaseTools/Source/Python/UPT/Object/Parser/InfMisc.py

ESdove/edk2_exploring

34ff32b45f43d233d9696e7c8e3de68ea3000a7b

[ "Python-2.0", "Zlib", "BSD-2-Clause", "MIT", "BSD-2-Clause-Patent", "BSD-3-Clause" ]

null

BaseTools/Source/Python/UPT/Object/Parser/InfMisc.py

ESdove/edk2_exploring

34ff32b45f43d233d9696e7c8e3de68ea3000a7b

[ "Python-2.0", "Zlib", "BSD-2-Clause", "MIT", "BSD-2-Clause-Patent", "BSD-3-Clause" ]

null

## @file # This file is used to define class objects of INF file miscellaneous. # Include BootMode/HOB/Event and others. It will consumed by InfParser. # # Copyright (c) 2011 - 2018, Intel Corporation. All rights reserved.<BR> # # SPDX-License-Identifier: BSD-2-Clause-Patent ''' InfMisc ''' import Logger.Log as Logge...

25.818182

77

0.628115

359

3,692

6.384401

0.320334

0.073298

0.06719

0.026178

0.287086

0.247819

0.206806

0

0.004913

0.283315

3,692

142

78

26

0.8613

0.103196

0

0.408602

0

0.002748

0

1

0.290323

false

0

0.053763

0.11828

0.516129

0

null

0

null

0

1

0

1

0

3

13570cde1e5c8c95a0a1cd4eb53d4d9f0d94d653

297

py

Python

21-08/Starters8/1.py

allenalvin333/Codechef_Competitions

44c3626de33cd9e17d1acfc74abe0aab809efbad

[ "MIT" ]

null

21-08/Starters8/1.py

allenalvin333/Codechef_Competitions

44c3626de33cd9e17d1acfc74abe0aab809efbad

[ "MIT" ]

null

21-08/Starters8/1.py

allenalvin333/Codechef_Competitions

44c3626de33cd9e17d1acfc74abe0aab809efbad

[ "MIT" ]

null

# https://www.codechef.com/START8C/problems/PENALTY for T in range(int(input())): n=list(map(int,input().split())) a=b=0 for i in range(len(n)): if(n[i]==1): if(i%2==0): a+=1 else: b+=1 if(a>b): print(1) elif(b>a): print(2) else: print(0)

24.75

51

0.501684

54

297

2.759259

0.518519

0.09396

0

0.046296

0.272727

297

12

52

24.75

0.643519

0.164983

0

1

0

false

0

0.3

0

null

0

null

0

1

0

13583e5f15c53f390db50be7afda1b1e9f5ec33e

859

py

Python

util/eval.py

jhong93/vpd

1ed3e8631c46e078ecb9a7756dba1f1c14aead5b

[ "BSD-3-Clause" ]

7

2021-11-26T01:15:23.000Z

2022-03-15T10:51:47.000Z

util/eval.py

jhong93/vpd

1ed3e8631c46e078ecb9a7756dba1f1c14aead5b

[ "BSD-3-Clause" ]

4

2022-01-15T09:46:00.000Z

2022-02-05T07:10:18.000Z

util/eval.py

jhong93/vpd

1ed3e8631c46e078ecb9a7756dba1f1c14aead5b

[ "BSD-3-Clause" ]

1

2021-09-18T16:50:14.000Z

import matplotlib.pyplot as plt from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix def save_confusion_matrix(truth, pred, out_file, norm=None): label_names = list(set(truth) | set(pred)) label_names.sort() truth_compact = [label_names.index(x) for x in truth] pred_compact = [label_na...

35.791667

74

0.690338

121

859

4.719008

0.504132

0.105079

0.129597

0.077058

0.154116

0.101576

0

0.016058

0.202561

859

23

75

37.347826

0.817518

0

0.01397

0

1

0.047619

false

0

0.095238

0

0.142857

0

null

0

null

0

1

0

135906a75c8644d17899cd5046a70589324b71a2

3,595

py

Python

python/py3study/pytorch-lab/demo-cifar.py

sillyemperor/langstudy

937a11d97984e10e4ead54f3b7b7d6a1f2ef24a1

[ "MIT" ]

null

python/py3study/pytorch-lab/demo-cifar.py

sillyemperor/langstudy

937a11d97984e10e4ead54f3b7b7d6a1f2ef24a1

[ "MIT" ]

null

python/py3study/pytorch-lab/demo-cifar.py

sillyemperor/langstudy

937a11d97984e10e4ead54f3b7b7d6a1f2ef24a1

[ "MIT" ]

null

import torch import torchvision import torchvision.transforms as transforms import os.path BASE_DIR = os.path.dirname(os.path.abspath(__file__)) transform = transforms.Compose( [transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]) root = os.path.join(BASE_DIR, '../data/') trainset ...

28.307087

75

0.585535

584

3,595

3.57363

0.292808

0.114998

0.036895

0.034499

0.106852

0.100144

0.054624

0.034499

0

0.28437

0.231154

3,595

126

76

28.531746

0.470695

0.465925

0

0.047619

0

0.004329

0

1

0.047619

false

0

0.190476

0

0.285714

0

null

0

1

0

1

0

null

0

2

135933f07f224fa858e30bebe4b7db897823355d

995

py

Python

astroquery/neodys/tests/test_neodys_remote.py

B612-Asteroid-Institute/astroquery

4bc8002639e80f7356306f4e000334da5e086091

[ "BSD-3-Clause" ]

null

astroquery/neodys/tests/test_neodys_remote.py

B612-Asteroid-Institute/astroquery

4bc8002639e80f7356306f4e000334da5e086091

[ "BSD-3-Clause" ]

1

2021-03-19T14:06:50.000Z

astroquery/neodys/tests/test_neodys_remote.py

B612-Asteroid-Institute/astroquery

4bc8002639e80f7356306f4e000334da5e086091

[ "BSD-3-Clause" ]

null

from ... import neodys def test_neodys_query(): test_object = "2018VP1" res_kep_0 = neodys.core.NEODyS.query_object( test_object, orbital_element_type="ke", epoch_near_present=0) res_kep_1 = neodys.core.NEODyS.query_object( test_object, orbital_element_type="ke", epoch_near_present=1) ...

41.458333

79

0.711558

155

995

4.225806

0.225806

0.053435

0.045802

0.128244

0.789313

0.583206

0.451908

0

0.039616

0.162814

995

23

80

43.26087

0.746699

0

0.188129

0

0.388889

1

0.055556

false

0

0.055556

0

0.111111

0

null

0

null

0

1

0

1359a8c4afe9581f59876f936fb68313f28865c1

1,028

py

Python

corehq/apps/accounting/migrations/0026_auto_20180508_1956.py

kkrampa/commcare-hq

d64d7cad98b240325ad669ccc7effb07721b4d44

[ "BSD-3-Clause" ]

1

2020-05-05T13:10:01.000Z

corehq/apps/accounting/migrations/0026_auto_20180508_1956.py

kkrampa/commcare-hq

d64d7cad98b240325ad669ccc7effb07721b4d44

[ "BSD-3-Clause" ]

1

2019-12-09T14:00:14.000Z

corehq/apps/accounting/migrations/0026_auto_20180508_1956.py

MaciejChoromanski/commcare-hq

fd7f65362d56d73b75a2c20d2afeabbc70876867

[ "BSD-3-Clause" ]

5

2015-11-30T13:12:45.000Z

2019-07-01T19:27:07.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.13 on 2018-05-08 19:56 from __future__ import unicode_literals from __future__ import absolute_import from django.db import migrations def noop(*args, **kwargs): pass def _convert_emailed_to_array_field(apps, schema_editor): BillingRecord = apps.get_model...

27.783784

80

0.689689

117

1,028

5.760684

0.529915

0.106825

0.066766

0.062315

0.077151

0

0.041312

0.199416

1,028

36

81

28.555556

0.777643

0.067121

0

1

0

0.088912

0.024059

0

1

0.086957

false

0.043478

0.130435

0

0.347826

0

null

0

1

0

null

0

1

1359c0fa6a8b2dda6889c4d23c5bb6bc6ad1f0c0

9,806

py

Python

tensor2tensor/rl/evaluator.py

SouBanerjee/tensor2tensor

8b88b13dd65bf52b3c27663a128adb7b0a5773fb

[ "Apache-2.0" ]

1

2019-12-11T14:43:49.000Z

tensor2tensor/rl/evaluator.py

SouBanerjee/tensor2tensor

8b88b13dd65bf52b3c27663a128adb7b0a5773fb

[ "Apache-2.0" ]

null

tensor2tensor/rl/evaluator.py

SouBanerjee/tensor2tensor

8b88b13dd65bf52b3c27663a128adb7b0a5773fb

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2018 The Tensor2Tensor Authors. # # 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...

35.528986

112

0.730879

1,378

9,806

4.875181

0.219884

0.032748

0.022923

0.013397

0.244567

0.181155

0.123846

0.101816

0.086038

0.07919

0

0.007111

0.168264

9,806

275

113

35.658182

0.816577

0.135121

0

0.131455

0

0.134307

0.008194

0

0.014085

1

0.042254

false

0

0.065728

0.00939

0.140845

0.004695

0

null

0

null

0

1

0

135a363584e253a0fd487ab5902e769a0e03931f

1,236

py

Python

src/part_2_automation/test_test1.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

null

src/part_2_automation/test_test1.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

null

src/part_2_automation/test_test1.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

1

2022-03-16T10:39:03.000Z

# Generated by Selenium IDE import pytest import time import json from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.support import expected_conditions from selenium.webdriver.support.wait import WebDriverWa...

38.625

89

0.768608

166

1,236

5.608434

0.415663

0.118153

0.135338

0.112782

0.354458

0.298604

0.186896

0.094522

0

0.020018

0.110841

1,236

31

90

39.870968

0.827116

0.020227

0

1

0

0.136476

0.019851

0

1

0.115385

false

0

0.384615

0

0.538462

0

null

0

1

0

null

0

1

0

1

0

3

135abe65fc98dab6544eb64993951b1e91db47a2

732

py

Python

app/grandchallenge/components/admin.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

1

2021-02-09T10:30:44.000Z

app/grandchallenge/components/admin.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

app/grandchallenge/components/admin.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

from django.contrib import admin from grandchallenge.components.models import ( ComponentInterface, ComponentInterfaceValue, ) class ComponentInterfaceAdmin(admin.ModelAdmin): list_display = ( "pk", "title", "slug", "kind", "default_value", "relative_path",...

23.612903

74

0.67623

59

732

8.254237

0.525424

0.11499

0.078029

0.106776

0.11499

0

0.206284

732

30

75

24.4

0.83821

0

0.173913

0

0.157104

0

1

0

false

0

0.086957

0

0.347826

0

null

0

null

0

1

0

135ad256377f1febc7ff1ea7598a8c696743a758

165

py

Python

publishtimer/__init__.py

paragguruji/publishtimer

b0b68d6c4d450a2cc22d29725e43c2a1261f0f74

[ "BSD-2-Clause" ]

null

publishtimer/__init__.py

paragguruji/publishtimer

b0b68d6c4d450a2cc22d29725e43c2a1261f0f74

[ "BSD-2-Clause" ]

null

publishtimer/__init__.py

paragguruji/publishtimer

b0b68d6c4d450a2cc22d29725e43c2a1261f0f74

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Mar 28 15:28:24 2016 @author: Parag Guruji, paragguruji@gmail.com """ from .helpers import setup_env done = setup_env()

16.5

44

0.678788

26

165

4.230769

0.884615

0.145455

0

0.094203

0.163636

165

10

45

16.5

0.702899

0.630303

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

null

0

1

0

2

135d785a425446491b59ae18c63cdcf06bf42dd8

278

py

Python

netdisco/discoverables/nanoleaf_aurora.py

jjlawren/netdisco

ffc3cd092bff359b1c1fc1ed51940624b3c8076b

[ "Apache-2.0" ]

1

2020-01-05T21:36:10.000Z

env/lib/python3.7/site-packages/netdisco/discoverables/nanoleaf_aurora.py

seanmitch/UPnP

f3cb1ef62657f166971c1c470ce5dfd58bdeeac9

[ "Unlicense" ]

null

env/lib/python3.7/site-packages/netdisco/discoverables/nanoleaf_aurora.py

seanmitch/UPnP

f3cb1ef62657f166971c1c470ce5dfd58bdeeac9

[ "Unlicense" ]

null

"""Discover Nanoleaf Aurora devices.""" from . import MDNSDiscoverable class Discoverable(MDNSDiscoverable): """Add support for discovering Nanoleaf Aurora devices.""" def __init__(self, nd): super(Discoverable, self).__init__(nd, '_nanoleafapi._tcp.local.')

27.8

74

0.726619

29

278

6.62069

0.724138

0.145833

0.21875

0

0.151079

278

9

75

30.888889

0.813559

0.309353

0

0.132597

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

135f17354c6a575112f9dd1ee2ae823d8e499637

2,299

py

Python

debug/compute_score_common_ts_RETREAT.py

DavidSabbagh/meeg_power_regression

d9cd5e30028ffc24f08a52966c7641f611e92ee6

[ "BSD-3-Clause" ]

1

2020-12-18T06:10:16.000Z

debug/compute_score_common_ts_RETREAT.py

DavidSabbagh/meeg_power_regression

d9cd5e30028ffc24f08a52966c7641f611e92ee6

[ "BSD-3-Clause" ]

null

debug/compute_score_common_ts_RETREAT.py

DavidSabbagh/meeg_power_regression

d9cd5e30028ffc24f08a52966c7641f611e92ee6

[ "BSD-3-Clause" ]

2

2021-03-01T01:36:38.000Z

2021-03-01T13:44:02.000Z

import os.path as op import numpy as np import pandas as pd from sklearn.pipeline import make_pipeline from sklearn.linear_model import RidgeCV from sklearn.preprocessing import StandardScaler from sklearn.model_selection import KFold, cross_val_score import mne from pyriemann.tangentspace import TangentSpace import ...

31.930556

77

0.651588

381

2,299

3.742782

0.333333

0.014727

0.017532

0.024544

0.146564

0.110799

0.091164

0.023843

0

0.016912

0.202697

2,299

71

78

32.380282

0.761047

0.041757

0

0.037037

0

0.058663

0.021828

0

1

0.037037

false

0

0.185185

0

0.259259

0

null

0

null

0

1

0

135f22f80a61bf2986149f078e69c6a03f73a3a5

1,161

py

Python

bter/publish.py

mengalong/bter

7fa56f9c83429bc564e6d123498b14aae5c390b1

[ "Apache-2.0" ]

1

2017-08-30T01:01:50.000Z

bter/publish.py

mengalong/bter

7fa56f9c83429bc564e6d123498b14aae5c390b1

[ "Apache-2.0" ]

null

bter/publish.py

mengalong/bter

7fa56f9c83429bc564e6d123498b14aae5c390b1

[ "Apache-2.0" ]

null

# Copyright 2017~ mengalong <alongmeng@gmail.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 ...

33.171429

77

0.709733

160

1,161

5.05625

0.61875

0.074166

0.032138

0.039555

0

0.008724

0.210164

1,161

34

78

34.147059

0.873501

0.490956

0

0.084922

0

1

0.066667

false

0

0.2

0

0.333333

0

null

0

null

0

1

0

135f9b393c2da1b1ae7cb6b4ea51c6e47c87c3b3

2,976

py

Python

web3/_utils/module_testing/math_contract.py

y19818/web3.py

32a85a287ab63220d1e0c06d77be74de595ff02f

[ "MIT" ]

null

web3/_utils/module_testing/math_contract.py

y19818/web3.py

32a85a287ab63220d1e0c06d77be74de595ff02f

[ "MIT" ]

null

web3/_utils/module_testing/math_contract.py

y19818/web3.py

32a85a287ab63220d1e0c06d77be74de595ff02f

[ "MIT" ]

null

MATH_BYTECODE = ( "606060405261022e806100126000396000f360606040523615610074576000357c01000000000000" "000000000000000000000000000000000000000000009004806316216f391461007657806361bc22" "1a146100995780637cf5dab0146100bc578063a5f3c23b146100e8578063d09de08a1461011d5780" "63dcf537b11461014057610074565b...

32.347826

87

0.576949

118

2,976

14.533898

0.355932

0.038484

0.055394

0.067055

0.197085

0.188338

0.165598

0.110787

0

0.512966

0.287298

2,976

91

88

32.703297

0.295615

0

0.477273

0

0.574549

0.399445

0

1

0

false

0

1

null

0

1

0

1

0

null

0

3

135f9d0a7a2f751997f717a3c72579433fa4791e

4,269

py

Python

dnsdb/config.py

nuby/open_dnsdb

7fec703d8458083f0e6826393656055556e9f0b2

[ "Apache-2.0" ]

1

2019-09-27T01:06:55.000Z

dnsdb/config.py

cclauss/open_dnsdb

28c2055685be1c173d77eaa2a05d8e156ccbbbf2

[ "Apache-2.0" ]

null

dnsdb/config.py

cclauss/open_dnsdb

28c2055685be1c173d77eaa2a05d8e156ccbbbf2

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import sys from datetime import timedelta from oslo.config import cfg CONF = cfg.CONF CONF.register_opts([ cfg.StrOpt('log-dir'), cfg.StrOpt('log-file'), cfg.StrOpt('debug'), cfg.StrOpt('verbose'), ], 'log') CONF.register_opts([ cfg.StrOpt('connection'), cf...

31.160584

92

0.594284

524

4,269

4.662214

0.28626

0.099468

0.052395

0.062219

0.417519

0.345886

0.270978

0

0.008184

0.255798

4,269

136

93

31.389706

0.760781

0.057625

0

0.288288

0

0.229084

0.006972

0

1

0.018018

false

0

0.036036

0

0.063063

0

null

0

null

0

1

0

136018fcec6b4476406646ec76b683c9bf3950c1

1,148

py

Python

rover/rover.py

cloudy/osr-rover-code

07d370ae1cde75eaf2d279fcc7f220c95cf6d736

[ "Apache-2.0" ]

null

rover/rover.py

cloudy/osr-rover-code

07d370ae1cde75eaf2d279fcc7f220c95cf6d736

[ "Apache-2.0" ]

null

rover/rover.py

cloudy/osr-rover-code

07d370ae1cde75eaf2d279fcc7f220c95cf6d736

[ "Apache-2.0" ]

null

from __future__ import print_function import time from rover import Robot from connections import Connections class Rover(Robot, Connections): def __init__( self, config, bt_flag = 0, xbox_flag = 0, unix_flag = 0 ): self.bt_flag = bt_flag self.xbox_flag = xbox_flag self.unix_flag =...

19.457627

110

0.674216

160

1,148

4.63125

0.3625

0.040486

0.048583

0.059379

0.110661

0.075574

0

0.006787

0.229965

1,148

58

111

19.793103

0.831448

0

0.232558

0

0.077526

0

null

0

0.093023

null

0.069767

0

null

0

null

0

1

0

1

136335a62a6f24cad26390348c87d9d3bbbba896

14,534

py

Python

aswiki/parser.py

scanner/django-aswiki

318908eeccc8da324846ac5ffc4d4a206f560521

[ "BSD-3-Clause" ]

null

aswiki/parser.py

scanner/django-aswiki

318908eeccc8da324846ac5ffc4d4a206f560521

[ "BSD-3-Clause" ]

1

2020-09-25T05:40:38.000Z

2020-09-28T05:41:27.000Z

aswiki/parser.py

scanner/django-aswiki

318908eeccc8da324846ac5ffc4d4a206f560521

[ "BSD-3-Clause" ]

null

# # File: $Id: parser.py 1865 2008-10-28 00:47:27Z scanner $ # """ This is where the logic and definition of our wiki markup parser lives. We use the Python Creoleparser (which requires Genshi) We make a custom dialect so that the parser can know the URL base for all of the topics (pages) in the wiki and some additio...

37.848958

96

0.597083

1,922

14,534

4.420916

0.221124

0.031776

0.009062

0.010004

0.154761

0.120513

0.109803

0.075321

0.051312

0.042603

0

0.007177

0.280996

14,534

383

97

37.947781

0.805933

0.543828

0

0.238938

0

0.031482

0

1

0.097345

false

0

0.115044

0.00885

0.424779

0

null

0

null

0

1

0

1365f047bda189ac06139ef3c589483027732b74

13,825

py

Python

oauth_api/validators.py

anobi/django-oauth-api

95bf9b500dab326553a5a8a17d5c6da1a34f6ac4

[ "BSD-2-Clause" ]

null

oauth_api/validators.py

anobi/django-oauth-api

95bf9b500dab326553a5a8a17d5c6da1a34f6ac4

[ "BSD-2-Clause" ]

null

oauth_api/validators.py

anobi/django-oauth-api

95bf9b500dab326553a5a8a17d5c6da1a34f6ac4

[ "BSD-2-Clause" ]

4

2015-07-30T11:03:54.000Z

2017-11-13T15:30:48.000Z

import base64 import binascii from datetime import timedelta from django.contrib.auth import authenticate from django.utils import timezone from oauthlib.oauth2 import RequestValidator from oauth_api.models import get_application_model, AccessToken, AuthorizationCode, RefreshToken, AbstractApplication from oauth_api...

37.364865

124

0.636166

1,495

13,825

5.694983

0.133779

0.029128

0.037938

0.021611

0.352831

0.281536

0.229035

0.196148

0.180526

0.132135

0

0.003456

0.288318

13,825

369

125

37.466125

0.861876

0.189078

0

0.307339

0

0.027343

0

0.009174

1

0.110092

false

0.027523

0.036697

0

0.376147

0

null

0

null

0

1

0

13662d9d6240c63c9a734dfc856cbc7f4107d5e2

160

py

Python

objects/fun_return.py

padmacho/pythontutorial

80c58d2d6efc0c3598f92b627338c6cd9fda1759

[ "Apache-2.0" ]

null

objects/fun_return.py

padmacho/pythontutorial

80c58d2d6efc0c3598f92b627338c6cd9fda1759

[ "Apache-2.0" ]

null

objects/fun_return.py

padmacho/pythontutorial

80c58d2d6efc0c3598f92b627338c6cd9fda1759

[ "Apache-2.0" ]

null

def modify(y): return y # returns same reference. No new object is created x = [1, 2, 3] y = modify(x) print("x == y", x == y) print("x == y", x is y)

26.666667

65

0.55625

31

160

2.870968

0.548387

0.067416

0.157303

0.179775

0

0.025424

0.2625

160

6

66

26.666667

0.728814

0.3

0

0.113208

0

1

0.166667

false

0

0.166667

0.333333

0

null

0

1

0

1

0

null

0

1

0

3

1366f50a70db89f7b6f66ff4d8a7cc0516afcf2f

6,471

py

Python

edx_gen/_write_comps.py

hberndl70/mooc-generator

58ff77ece12b456887ec24db79d8baa87ecd5621

[ "MIT" ]

null

edx_gen/_write_comps.py

hberndl70/mooc-generator

58ff77ece12b456887ec24db79d8baa87ecd5621

[ "MIT" ]

null

edx_gen/_write_comps.py

hberndl70/mooc-generator

58ff77ece12b456887ec24db79d8baa87ecd5621

[ "MIT" ]

null

import sys, os import tarfile import shutil from edx_gen import _edx_consts from edx_gen import _read_metadata from edx_gen import _write_structure from edx_gen import _write_comps from edx_gen import _write_comp_html from edx_gen import _write_comp_checkboxes from edx_gen import _write_comp_video from edx_gen i...

38.064706

117

0.641323

842

6,471

4.667458

0.17696

0.035623

0.025445

0.040712

0.50687

0.442748

0.411959

0.38855

0.378117

0

0.003841

0.235667

6,471

169

118

38.289941

0.79074

0.324679

0

0.209877

0

0.138426

0

1

0.024691

false

0

0.17284

0

0.308642

0.17284

0

null

0

null

0

1

0

1367201e3118f25640a5bbd95836976d130709a4

2,403

py

Python

grading_program.py

ByeonghoonJeon/Student-Grading

eee55638aee4390d7758c1204b85cce7279ccdf7

[ "MIT" ]

null

grading_program.py

ByeonghoonJeon/Student-Grading

eee55638aee4390d7758c1204b85cce7279ccdf7

[ "MIT" ]

null

grading_program.py

ByeonghoonJeon/Student-Grading

eee55638aee4390d7758c1204b85cce7279ccdf7

[ "MIT" ]

null

# 1. Create students score dictionary. students_score = {} # 2. Input student's name and check if input is correct. (Alphabet, period, and blank only.) # 2.1 Creat a function that evaluate the validity of name. def check_name(name): # 2.1.1 Remove period and blank and check it if the name is comprised with on...

36.969231

100

0.646275

373

2,403

4.061662

0.243968

0.094389

0.064686

0.044884

0.179538

0.155776

0.124092

0.054125

0

0.032364

0.241365

2,403

64

101

37.546875

0.798683

0.303787

0

0.182037

0

1

0.02381

false

0

0.047619

0.02381

0

null

0

null

0

1

0

136832386a64df8b748feecd13c99a4dc30fc9d5

735

py

Python

test/test_utils.py

by46/recipe

203abd2141a536b66b4e57d073169a49395be1f0

[ "MIT" ]

null

test/test_utils.py

by46/recipe

203abd2141a536b66b4e57d073169a49395be1f0

[ "MIT" ]

null

test/test_utils.py

by46/recipe

203abd2141a536b66b4e57d073169a49395be1f0

[ "MIT" ]

null

import unittest from recipe import utils class UtilTestCase(unittest.TestCase): def test_valid_project_slug(self): project_slug = "Recipe0123456789_mock" self.assertTrue(utils.valid_project_slug(project_slug)) project_slug = 'Recipe00000000000000000000000000000000000000000000' ...

33.409091

77

0.719728

70

735

7.2

0.285714

0.349206

0.321429

0.392857

0.549603

0

0.166948

0.193197

735

21

78

35

0.682968

0

0.357143

0

0.189076

0.170868

0

0.357143

1

0.071429

false

0

0.142857

0

0.285714

0

null

1

0

null

0

3

1368b69e2269d6b7303299c5097db81eca903217

6,708

py

Python

extern/smplx_kinect/smplx_kinect/common/avakhitov_utils.py

wangxihao/rgbd-kinect-pose

03180723c99759ba2500bcd42b5fe7a1d26eb507

[ "MIT" ]

1

2022-02-07T06:12:26.000Z

extern/smplx_kinect/smplx_kinect/common/avakhitov_utils.py

wangxihao/rgbd-kinect-pose

03180723c99759ba2500bcd42b5fe7a1d26eb507

[ "MIT" ]

null

extern/smplx_kinect/smplx_kinect/common/avakhitov_utils.py

wangxihao/rgbd-kinect-pose

03180723c99759ba2500bcd42b5fe7a1d26eb507

[ "MIT" ]

null

import numpy as np import cv2 import os.path as osp import json from human_body_prior.tools.model_loader import load_vposer import torch vposer_ckpt = '/Vol1/dbstore/datasets/a.vakhitov/projects/pykinect_fresh/smplify-x/smplify-x-data/vposer_v1_0/' def load_avakhitov_fits_vposer(vposer, part_path, dev_lbl): po...

35.120419

118

0.570662

978

6,708

3.679959

0.201431

0.055571

0.026674

0.02334

0.23312

0.145874

0.125313

0.110031

0.080022

0.061128

0

0.02836

0.295617

6,708

190

119

35.305263

0.733333

0.073196

0

0.089041

0

0.006849

0.082681

0.022668

0

0.013699

1

0.027397

false

0

0.041096

0

0.09589

0.006849

0

null

0

null

0

1

0

1368b793b823b3bd0b461ed385d6e6b6434e1e68

3,455

py

Python

scripts/dev/dockerutil.py

axelbarjon/mongodb-kubernetes-operator

13eb844c55774ce8a6de51edde1a66b4371f3ef6

[ "RSA-MD" ]

1

2021-03-24T17:54:51.000Z

scripts/dev/dockerutil.py

axelbarjon/mongodb-kubernetes-operator

13eb844c55774ce8a6de51edde1a66b4371f3ef6

[ "RSA-MD" ]

18

2021-03-08T13:38:37.000Z

2022-02-14T15:06:28.000Z

scripts/dev/dockerutil.py

axelbarjon/mongodb-kubernetes-operator

13eb844c55774ce8a6de51edde1a66b4371f3ef6

[ "RSA-MD" ]

1

2021-03-25T13:37:02.000Z

import docker from dockerfile_generator import render import os import json from tqdm import tqdm from typing import Union, Any, Optional def build_image(repo_url: str, tag: str, path: str) -> None: """ build_image builds the image with the given tag """ client = docker.from_env() print(f"Buildin...

32.28972

108

0.636758

473

3,455

4.528541

0.312896

0.03268

0.023343

0.024276

0.143324

0.080299

0.056956

0.030812

0

0.009292

0.252388

3,455

106

109

32.59434

0.819977

0.176845

0

0.189189

0

0.112388

0.017235

0

1

0.067568

false

0.054054

0.081081

0

0.243243

0.054054

0

null

0

null

0

1

0

1

136925370fda5dbcb2e2d6d5e61c676370502bb7

904

py

Python

scripts/VCF/UTILS/select_variants.py

elowy01/igsr_analysis

ffea4885227c2299f886a4f41e70b6e1f6bb43da

[ "Apache-2.0" ]

3

2018-04-20T15:04:34.000Z

2022-03-30T06:36:02.000Z

scripts/VCF/UTILS/select_variants.py

elowy01/igsr_analysis

ffea4885227c2299f886a4f41e70b6e1f6bb43da

[ "Apache-2.0" ]

7

2019-06-06T09:22:20.000Z

2021-11-23T17:41:52.000Z

scripts/VCF/UTILS/select_variants.py

elowy01/igsr_analysis

ffea4885227c2299f886a4f41e70b6e1f6bb43da

[ "Apache-2.0" ]

5

2017-11-02T11:17:35.000Z

2021-12-11T19:34:09.000Z

from VcfFilter import VcfFilter import argparse import os #get command line arguments parser = argparse.ArgumentParser(description='Script to select a certain variant type from a VCF file') #parameters parser.add_argument('--bcftools_folder', type=str, required=True, help='Folder containing the Bcftools binary' ) p...

39.304348

275

0.766593

138

904

4.862319

0.521739

0.040238

0.076006

0.056632

0.068554

0

0.136062

904

22

276

41.090909

0.859155

0.039823

0

0.090909

0.446882

0.028868

0

1

0

false

0

0.272727

0

0.272727

0

null

0

null

0

1

0

13695de67e652f576d889f205ef664189b73d45b

14,680

py

Python

site/tests/unittests/test/test_base64.py

martinphellwig/brython_wf

e169afc1e048cba0c12118b4cd6f109df6fe67c9

[ "BSD-3-Clause" ]

652

2015-07-26T00:00:17.000Z

2022-02-24T18:30:04.000Z

site/tests/unittests/test/test_base64.py

martinphellwig/brython_wf

e169afc1e048cba0c12118b4cd6f109df6fe67c9

[ "BSD-3-Clause" ]

8

2015-09-07T03:38:19.000Z

2021-05-23T03:18:51.000Z

check-python33-manual/samples/standard_library_337/Lib/test/test_base64.py

DaveKaretnyk/parsing-utils2

40085bbd399fa605f2f2a4708d385a64ffc907de

[ "MIT" ]

40

2015-07-24T19:45:08.000Z

2021-11-01T14:54:56.000Z

import unittest from test import support import base64 import binascii import os import sys import subprocess class LegacyBase64TestCase(unittest.TestCase): def test_encodebytes(self): eq = self.assertEqual eq(base64.encodebytes(b"www.python.org"), b"d3d3LnB5dGhvbi5vcmc=\n") eq(base64.enc...

41.586402

83

0.570981

1,630

14,680

5.084663

0.119632

0.072394

0.04223

0.052365

0.65432

0.563827

0.471646

0.379585

0.239503

0.161438

0

0.073781

0.276158

14,680

352

84

41.704545

0.706192

0.045095

0

0.239286

0

0.194524

0.087575

0

0.160714

1

0.078571

false

0

0.032143

0

0.125

0

null

0

null

0

1

0

1369857b721c52701d49ebb99393f03d4c246712

569

py

Python

appliance_catalog/migrations/0015_appliance_icon_py3.py

ChameleonCloud/portal

92a06fb926dc36e997b94fb8dcd22b7e0d24d3ee

[ "Apache-2.0" ]

3

2015-08-04T20:53:41.000Z

2020-02-14T22:58:20.000Z

appliance_catalog/migrations/0015_appliance_icon_py3.py

ChameleonCloud/portal

92a06fb926dc36e997b94fb8dcd22b7e0d24d3ee

[ "Apache-2.0" ]

103

2015-01-15T14:21:00.000Z

2022-03-31T19:14:20.000Z

appliance_catalog/migrations/0015_appliance_icon_py3.py

ChameleonCloud/portal

92a06fb926dc36e997b94fb8dcd22b7e0d24d3ee

[ "Apache-2.0" ]

4

2016-02-22T16:48:20.000Z

2021-01-08T17:13:21.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.29 on 2021-02-25 20:32 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): """Updates ImageField syntax for later version. """ dependencies = [ ('appliance_catalog', '0014_auto_...

24.73913

86

0.644991

62

569

5.709677

0.790323

0.090395

0

0.078522

0.239016

569

22

87

25.863636

0.73903

0.210896

0

1

0

0.196833

0.106335

0

1

0

false

0

0.153846

0

0.384615

0

null

0

1

0

null

0

1

136a5b3d51a58e910193de0d1a2f38a488d4801a

1,435

py

Python

twitoff/twitter.py

ChristopherKchilton/twitoff-ChristopherKchilton

fbac9899feff256ededab009b28e2f6ebd67f476

[ "MIT" ]

1

2021-09-23T22:04:09.000Z

twitoff/twitter.py

ChristopherKchilton/twitoff-ChristopherKchilton

fbac9899feff256ededab009b28e2f6ebd67f476

[ "MIT" ]

null

twitoff/twitter.py

ChristopherKchilton/twitoff-ChristopherKchilton

fbac9899feff256ededab009b28e2f6ebd67f476

[ "MIT" ]

null

"""Retrieve and request tweets from the DS API""" import requests import spacy from .models import DB, Tweet, User nlp = spacy.load("my_model") def vectorize_tweet(tweet_text): return nlp(tweet_text).vector # Add and updates tweets def add_or_update_user(username): """Adds and updates the user with twiter ...

25.175439

78

0.608362

196

1,435

4.311224

0.413265

0.049704

0.04497

0.033136

0

0.000965

0.278049

1,435

56

79

25.625

0.814672

0.225087

0

0.123959

0

0.017857

0

1

0.074074

false

0

0.111111

0.037037

0.222222

0.037037

0

null

0

null

0

1

0

1

136a6f790e3bad7ef05103763b29d85ab9987e87

595

py

Python

day22.py

p88h/aoc2017

a929a8c0894559b0d7dd3d0b58c076295087f4c8

[ "Unlicense" ]

1

2021-12-26T21:28:47.000Z

day22.py

p88h/aoc2017

a929a8c0894559b0d7dd3d0b58c076295087f4c8

[ "Unlicense" ]

null

day22.py

p88h/aoc2017

a929a8c0894559b0d7dd3d0b58c076295087f4c8

[ "Unlicense" ]

null

import io grid = {} y = 0 x = 0 for l in io.open("day22.in").read().splitlines(): for x in range(len(l)): grid[(y,x)] = l[x] y += 1 y = y // 2 x = x // 2 dx = 0 dy = -1 r = 0 for iter in range(10000000): if (y,x) not in grid or grid[(y,x)] == '.': (dy, dx) = (-dx, dy) grid[(y,x)] = ...

19.833333

49

0.381513

104

595

2.182692

0.278846

0.220264

0.237885

0.132159

0.176211

0

0.049351

0.352941

595

30

50

19.833333

0.54026

0

0.026846

0

1

0

false

0

0.034483

0

0.034483

0

null

1

0

null

0

2

136b2299eb41b7ded97c6048734842406f59258d

3,437

py

Python

ansys/dpf/core/errors.py

TheGoldfish01/pydpf-core

75ca8a180454f94cedafbc68c1d6f20dcfc4c795

[ "MIT" ]

11

2021-01-31T15:50:02.000Z

2021-10-01T23:15:38.000Z

ansys/dpf/core/errors.py

TheGoldfish01/pydpf-core

75ca8a180454f94cedafbc68c1d6f20dcfc4c795

[ "MIT" ]

46

2021-01-14T05:00:50.000Z

2021-10-06T18:30:37.000Z

ansys/dpf/core/errors.py

TheGoldfish01/pydpf-core

75ca8a180454f94cedafbc68c1d6f20dcfc4c795

[ "MIT" ]

3

2021-06-30T07:18:30.000Z

2021-09-15T08:43:11.000Z

from grpc._channel import _InactiveRpcError, _MultiThreadedRendezvous from functools import wraps _COMPLEX_PLOTTING_ERROR_MSG = """ Complex fields cannot be plotted. Use operators to get the amplitude or the result at a defined sweeping phase before plotting. """ _FIELD_CONTAINER_PLOTTING_MSG = """" This fields_conta...

28.882353

78

0.672971

400

3,437

5.51

0.3325

0.072595

0.089837

0.065336

0.245463

0.132486

0.106171

0.073503

0.03539

0

0.234507

3,437

118

79

29.127119

0.837704

0.21705

0

0.227273

0

0.18955

0.010679

0

1

0.181818

false

0

0.030303

0

0.393939

0

null

0

null

0

1

0

136b533fe267643a58604244ebaf15ea2c8117bd

11

py

Python

ls10.py

yu961549745/pynote

5976aeeca6368c0956baddf6a9ccb93ae8e0612a

[ "MIT" ]

null

ls10.py

yu961549745/pynote

5976aeeca6368c0956baddf6a9ccb93ae8e0612a

[ "MIT" ]

null

ls10.py

yu961549745/pynote

5976aeeca6368c0956baddf6a9ccb93ae8e0612a

[ "MIT" ]

null

''' IO '''

2.75

3

0.181818

1

11

2

1

0

0.272727

11

3

4

3.666667

0.25

0.181818

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

6

136b5475110947f42e139d24c848b375d4d0e140

2,144

py

Python

deep_disfluency/feature_extraction/wer_calculation_from_final_asr_results.py

askender/deep_disfluency

bea8403ed954df8eadd3e2b9d98bb7c2b416a665

[ "MIT" ]

null

deep_disfluency/feature_extraction/wer_calculation_from_final_asr_results.py

askender/deep_disfluency

bea8403ed954df8eadd3e2b9d98bb7c2b416a665

[ "MIT" ]

null

deep_disfluency/feature_extraction/wer_calculation_from_final_asr_results.py

askender/deep_disfluency

bea8403ed954df8eadd3e2b9d98bb7c2b416a665

[ "MIT" ]

null

from mumodo.mumodoIO import open_intervalframe_from_textgrid import numpy from deep_disfluency.utils.accuracy import wer final_file = open('wer_test.text', "w") ranges1 = [line.strip() for line in open( "/media/data/jh/simple_rnn_disf/rnn_disf_detection/data/disfluency_detection/swda_divisions_disfluency_detectio...

36.965517

158

0.619403

286

2,144

4.451049

0.304196

0.043991

0.027494

0.047133

0.383346

0.362922

0.328358

0

0.0116

0.236007

2,144

57

159

37.614035

0.765568

0.097481

0

0.173913

0

0.326594

0.285122

0

null

0

0.065217

null

0.086957

0

null

0

null

0

1

0

1

136b8fe5a8aa80e827bc10eb9537bdf94b4fdc81

1,541

py

Python

newsweec/utils/_dataclasses.py

Adwaith-Rajesh/newsweec

f3b66fb6f74cb68be4e716269032db340abe8320

[ "MIT" ]

13

2020-08-30T10:52:29.000Z

2021-08-18T12:20:39.000Z

newsweec/utils/_dataclasses.py

Adwaith-Rajesh/newsweec

f3b66fb6f74cb68be4e716269032db340abe8320

[ "MIT" ]

null

newsweec/utils/_dataclasses.py

Adwaith-Rajesh/newsweec

f3b66fb6f74cb68be4e716269032db340abe8320

[ "MIT" ]

1

2021-06-07T04:01:37.000Z

from dataclasses import dataclass from dataclasses import field from time import time from typing import Any from typing import Callable from typing import Dict from typing import List from typing import Optional from typing import Tuple @dataclass class NewUser: """Deals with the commands the user is currently ...

22.661765

81

0.668397

215

1,541

4.632558

0.353488

0.048193

0.096386

0.056225

0.196787

0.160643

0

0.21804

1,541

67

82

23

0.826556

0.176509

0

0.386364

0

0.162641

0

1

0.090909

false

0

0.204545

0.090909

0.886364

0

null

0

null

0

1

0

1

136bbda00809274a9f8b16997fd9b06b349771f8

3,754

py

Python

vivo2notld/definitions/person_definition.py

gwu-libraries/vivo2notld

3f579f8aad28c60119864757e1fe66c2d64a0149

[ "MIT" ]

5

2015-09-23T10:05:29.000Z

2016-04-07T17:08:38.000Z

vivo2notld/definitions/person_definition.py

gwu-libraries/vivo2notld

3f579f8aad28c60119864757e1fe66c2d64a0149

[ "MIT" ]

null

vivo2notld/definitions/person_definition.py

gwu-libraries/vivo2notld

3f579f8aad28c60119864757e1fe66c2d64a0149

[ "MIT" ]

null

from .document_summary import definition as document_summary_definition from .organization_summary import definition as organization_summmary_definition definition = { "where": "?subj a foaf:Person .", "fields": { "name": { "where": "?subj rdfs:label ?obj ." }, #Contact info...

33.221239

80

0.34017

245

3,754

5.155102

0.261224

0.135392

0.061758

0.047506

0.304038

0.186857

0.136184

0

0.01627

0.541556

3,754

112

81

33.517857

0.717606

0.003197

0

0.363636

0

0.546378

0

1

0

false

0

0.018182

0

0.018182

0

null

0

1

0

null

0

1