xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

3e572d40ef88a1ec3058d9cc94eb6dce557f2d6d

4,728

py

Python

src/voicemaker/voicemaker.py

IAL32/voicemaker

66c9dd25749743d94bb9c3aac8ba2c858f327723

[ "MIT" ]

null

src/voicemaker/voicemaker.py

IAL32/voicemaker

66c9dd25749743d94bb9c3aac8ba2c858f327723

[ "MIT" ]

1

2022-03-04T14:52:16.000Z

2022-03-08T08:00:59.000Z

src/voicemaker/voicemaker.py

IAL32/voicemaker

66c9dd25749743d94bb9c3aac8ba2c858f327723

[ "MIT" ]

null

import requests LANGUAGES_LIST = [ 'en-US', 'en-GB', 'en-AU', 'en-HK', 'en-NZ', 'en-SG', 'en-ZA', 'de-DE', 'ar-XA', 'ar-SA', 'bn-IN', 'bg-BG', 'ca-ES', 'cmn-CN', 'zh-HK', 'cmn-TW', 'cy-GB', 'cs-CZ', 'da-DK', 'de-CH', 'es-AR', 'es-CO', 'es-US', 'ga-IE', 'gu-IN', 'hr-HR', 'mr-IN', 'ms-MY', 'mt-MT', 'nl-N...

39.4

164

0.597716

663

4,728

4.143288

0.334842

0.036403

0.012013

0.013105

0.123407

0.101565

0.065526

0

0.019199

0.239848

4,728

119

165

39.731092

0.745131

0.356176

0

0.092308

0

0.223598

0

1

0.123077

false

0

0.015385

0

0.261538

0

null

0

null

0

1

0

3e5810f45ee6abfb855c478735026a678b651dd9

1,365

py

Python

Lecture/Kapitel 9 - Seite 235 - Implementierung des Gradientenverfahrens.py

PhilippMatthes/tensorflow-playground

b5fee6e5f5044dc5cbcd54529d559388a3df7813

[ "MIT" ]

null

Lecture/Kapitel 9 - Seite 235 - Implementierung des Gradientenverfahrens.py

PhilippMatthes/tensorflow-playground

b5fee6e5f5044dc5cbcd54529d559388a3df7813

[ "MIT" ]

null

Lecture/Kapitel 9 - Seite 235 - Implementierung des Gradientenverfahrens.py

PhilippMatthes/tensorflow-playground

b5fee6e5f5044dc5cbcd54529d559388a3df7813

[ "MIT" ]

null

import tensorflow as tf import numpy as np from sklearn.datasets import fetch_california_housing housing = fetch_california_housing() m, n = housing.data.shape housing_data_plus_bias = np.c_[np.ones((m, 1)), housing.data] X = tf.constant(housing_data_plus_bias, dtype=tf.float32, name="X") y = tf.constant(housing.targ...

26.764706

81

0.69304

203

1,365

4.507389

0.384236

0.078689

0.048087

0.04153

0.072131

0

0.024583

0.165568

1,365

51

82

26.764706

0.778753

0

0.171429

0

0.022694

0

1

0.028571

false

0

0.085714

0

0.114286

0.057143

0

null

0

null

0

1

0

3e582f1280b1545b27d8bb65ef57684f484bd7bc

1,634

py

Python

python/Fluoroseq/obsolete/scripts/intrinsic_pr_bounds.py

erisyon/whatprot

176cd7e6ee99ea3f91794dcf1ec14f3578b7ee3c

[ "MIT" ]

null

python/Fluoroseq/obsolete/scripts/intrinsic_pr_bounds.py

erisyon/whatprot

176cd7e6ee99ea3f91794dcf1ec14f3578b7ee3c

[ "MIT" ]

1

2021-06-12T00:50:08.000Z

2021-06-15T17:59:12.000Z

python/Fluoroseq/obsolete/scripts/intrinsic_pr_bounds.py

erisyon/whatprot

176cd7e6ee99ea3f91794dcf1ec14f3578b7ee3c

[ "MIT" ]

1

2021-06-11T19:34:43.000Z

# -*- coding: utf-8 -*- """ @author: Matthew Beauregard Smith (UT Austin) """ from common.peptide import Peptide from plotting.plot_pr_curve import plot_pr_curve from numpy import load from simulate.label_peptides import label_peptides TRUE_Y_FILE = 'C:/Users/Matthew/ICES/MarcotteLab/data/classification/c...

30.259259

105

0.676255

245

1,634

4.253061

0.35102

0.028791

0.03167

0.048944

0.128599

0

0.01446

0.195838

1,634

53

106

30.830189

0.778539

0.056304

0

0.093023

0

0.120352

0.114943

0

1

0.046512

false

0

0.093023

0.023256

0.186047

0

null

0

null

0

1

0

3e5961792d37ca4a7091e59c1c74180b0cb0ef47

337,498

py

Python

fitparse/profile.py

vlcvboyer/python-fitparse

bef76231a1c8dddfafc23070b43684e7d0c6e916

[ "MIT" ]

null

fitparse/profile.py

vlcvboyer/python-fitparse

bef76231a1c8dddfafc23070b43684e7d0c6e916

[ "MIT" ]

1

2019-01-03T08:56:11.000Z

2019-06-05T09:24:13.000Z

fitparse/profile.py

vlcvboyer/python-fitparse

bef76231a1c8dddfafc23070b43684e7d0c6e916

[ "MIT" ]

1

2018-08-30T15:06:12.000Z

################# BEGIN AUTOMATICALLY GENERATED FIT PROFILE ################## ########################### DO NOT EDIT THIS FILE ############################ ####### EXPORTED PROFILE FROM SDK VERSION 20.33 AT 2017-05-17 22:36:12 ####### ########## PARSED 118 TYPES (1699 VALUES), 76 MESSAGES (950 FIELDS) ########## fro...

33.844565

336

0.397916

28,750

337,498

4.448835

0.079096

0.053571

0.085783

0.034026

0.625672

0.592093

0.567996

0.543275

0.497076

0.441214

0

0.080312

0.503787

337,498

9,971

337

33.847959

0.683426

0.099103

0

0.716376

1

0

0.147265

0.028552

0

0.015385

0

1

0

false

0.000303

0.000101

0

0.000101

0

null

0

1

0

1

0

null

0

3

3e5b857f8383e340919c32b08170a5b4cd5f70b7

820

py

Python

python-basic-project/unit08/myfinance.py

sharebook-kr/learningspoons-bootcamp-finance

0288f3f3b39f54420e4e9987f1de12892dc680ea

[ "MIT" ]

9

2020-10-25T15:13:32.000Z

2022-03-26T11:27:21.000Z

python-basic-project/unit08/myfinance.py

sharebook-kr/learningspoons-bootcamp-finance

0288f3f3b39f54420e4e9987f1de12892dc680ea

[ "MIT" ]

null

python-basic-project/unit08/myfinance.py

sharebook-kr/learningspoons-bootcamp-finance

0288f3f3b39f54420e4e9987f1de12892dc680ea

[ "MIT" ]

7

2021-03-01T11:06:45.000Z

2022-03-14T07:06:04.000Z

import requests from bs4 import BeautifulSoup def get_tickers(market=2): url = f"http://comp.fnguide.com/SVO2/common/lookup_data.asp?mkt_gb={market}&comp_gb=1" resp = requests.get(url) data = resp.json() codes = [] for comp in data: code = comp['cd'][-6:] codes.append(code) ret...

24.117647

90

0.603659

113

820

4.230089

0.522124

0.062762

0.100418

0.07113

0

0.026059

0.25122

820

34

91

24.117647

0.752443

0

0.071429

0

0.035714

0.19123

0

1

0.071429

false

0

0.071429

0

0.214286

0.107143

0

null

0

null

0

1

0

3e5c8076b3c080597643c7f2efec1d74b5c8f190

1,882

py

Python

elsie/draw.py

Kobzol/elsie

b7b784d8d04c9e0d545e18504cf4ad23b9e7e8c4

[ "MIT" ]

null

elsie/draw.py

Kobzol/elsie

b7b784d8d04c9e0d545e18504cf4ad23b9e7e8c4

[ "MIT" ]

null

elsie/draw.py

Kobzol/elsie

b7b784d8d04c9e0d545e18504cf4ad23b9e7e8c4

[ "MIT" ]

null

def set_font_from_style(xml, style): if "font" in style: xml.set("font-family", style["font"]) if "size" in style: xml.set("font-size", style["size"]) s = "" if "color" in style: s += "fill:{};".format(style["color"]) if style.get("bold", False): s += "font-weight: b...

26.885714

62

0.508502

238

1,882

3.89916

0.256303

0.071121

0.047414

0.068966

0.336207

0.299569

0.217672

0.071121

0

0.000801

0.336344

1,882

69

63

27.275362

0.742194

0.002657

0

0.245614

0

0.148267

0

1

0.035088

false

0

0.035088

0

null

0

null

0

1

0

3e5d6df95ec953ae6051ebc8540af72617f83181

7,209

py

Python

TravelWebsite/travello/admin.py

DSAnup/Django

76025d181bafbb41783912577f80ec728884549d

[ "MIT" ]

1

2020-03-15T05:22:30.000Z

TravelWebsite/travello/admin.py

DSAnup/Django

76025d181bafbb41783912577f80ec728884549d

[ "MIT" ]

null

TravelWebsite/travello/admin.py

DSAnup/Django

76025d181bafbb41783912577f80ec728884549d

[ "MIT" ]

null

from django.contrib import admin from django.utils.html import format_html from django.shortcuts import redirect from .models import * # Register your models here. admin.site.register(CategoryDes) class DestinationAdmin(admin.ModelAdmin): def edit(self, obj): return format_html('<a class="btn-primary" hr...

49.717241

164

0.659315

1,019

7,209

4.513248

0.099117

0.066971

0.090454

0.090889

0.813655

0.77843

0.770385

0.711676

0

0.012835

0.146206

7,209

145

165

49.717241

0.734362

0.003607

0

0.605042

0

0.184874

0.22988

0.134781

0

1

0.260504

false

0

0.033613

0.184874

0.781513

0

null

0

1

0

null

0

1

0

1

0

9

3e5e4207adc8922463d0a98148721a7ee4e6e6eb

1,428

py

Python

demos/cookie-clicker/cookie-clicker.py

Coding-Kakis/Automating-Shenanigans-in-Python

c8e00231468668fbe231e0b35e32b9e99d5bd458

[ "MIT" ]

1

2021-09-11T13:05:17.000Z

demos/cookie-clicker/cookie-clicker.py

Coding-Kakis/Automating-Shenanigans-in-Python

c8e00231468668fbe231e0b35e32b9e99d5bd458

[ "MIT" ]

null

demos/cookie-clicker/cookie-clicker.py

Coding-Kakis/Automating-Shenanigans-in-Python

c8e00231468668fbe231e0b35e32b9e99d5bd458

[ "MIT" ]

null

# Cookie clicker auto-clicker # Works for the classic version here: https://orteil.dashnet.org/experiments/cookie/ import pyautogui def locate_cookie(): """ Returns the locations of the Big Cookie Does not return until the cookie is found """ loc = None while loc == None: loc = pyaut...

19.833333

84

0.573529

166

1,428

4.843373

0.481928

0.049751

0.080846

0

0.001026

0.317227

1,428

71

85

20.112676

0.82359

0.219188

0

0.162162

0

0.109953

0

1

0.081081

false

0

0.027027

0

0.162162

0

null

0

null

0

1

0

3e5e941943139ba0623e31d497e78bf7beb9106d

1,485

py

Python

esupa/templatetags/esupa.py

Abando/esupa

84888ff7d7879437659fd06a8707ac033f25b8ab

[ "Apache-2.0" ]

null

esupa/templatetags/esupa.py

Abando/esupa

84888ff7d7879437659fd06a8707ac033f25b8ab

[ "Apache-2.0" ]

4

2015-11-09T02:01:15.000Z

2016-01-20T14:51:13.000Z

esupa/templatetags/esupa.py

ekevoo/esupa

84888ff7d7879437659fd06a8707ac033f25b8ab

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # # Copyright 2015, Ekevoo.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 l...

37.125

107

0.703704

208

1,485

4.985577

0.548077

0.057859

0.043394

0.030858

0

0.011696

0.193939

1,485

39

108

38.076923

0.854637

0.400673

0

0.093714

0.045714

0

1

0.045455

false

0

0.272727

0

0.409091

0

null

0

null

0

1

0

3e62b645957319fa784b6eef70fbe8c8812a5575

3,305

py

Python

ivy/pages.py

swsch/ivy

4932cf7541acff13815be613b0f3335b21c86670

[ "Unlicense" ]

null

ivy/pages.py

swsch/ivy

4932cf7541acff13815be613b0f3335b21c86670

[ "Unlicense" ]

null

ivy/pages.py

swsch/ivy

4932cf7541acff13815be613b0f3335b21c86670

[ "Unlicense" ]

null

# ------------------------------------------------------------------------------ # This module renders and writes HTML pages to disk. # ------------------------------------------------------------------------------ import re import os from . import site from . import events from . import filters from . import utils f...

35.537634

80

0.579728

407

3,305

4.619165

0.29484

0.034043

0.042553

0.046809

0.106915

0.054255

0.031915

0

0.002444

0.257186

3,305

92

81

35.923913

0.76334

0.291074

0

0.033333

0

0.107097

0

1

0.1

false

0

0.166667

0

0.35

0

null

0

null

0

1

0

3e64ce743607e76cfc572cc4ea2cfe77fba2b173

5,646

py

Python

mvyaml/mvyaml.py

gchiesa/mvyaml

6d4c580bc596d220b45e6a6ccf9b2c3ef582f554

[ "MIT" ]

null

mvyaml/mvyaml.py

gchiesa/mvyaml

6d4c580bc596d220b45e6a6ccf9b2c3ef582f554

[ "MIT" ]

null

mvyaml/mvyaml.py

gchiesa/mvyaml

6d4c580bc596d220b45e6a6ccf9b2c3ef582f554

[ "MIT" ]

null

"""Main module.""" from copy import deepcopy from datetime import datetime from difflib import Differ from io import StringIO from typing import IO, Iterable, AnyStr from datadiff.tools import assert_equal from ruamel.yaml import YAML from ruamel.yaml.comments import CommentedMap class MVYamlVersionNotFoundException...

32.079545

108

0.613355

686

5,646

4.801749

0.189504

0.051002

0.047359

0.019429

0.357316

0.346387

0.287189

0.255009

0.212508

0

0.003248

0.29118

5,646

175

109

32.262857

0.81984

0.034006

0

0.3

0

0.058299

0

0.021429

1

0.128571

false

0.014286

0.092857

0.014286

0.392857

0

null

0

null

0

1

0

3e667e1d0cd277296f1a4241baaa4af12a192a1e

1,889

py

Python

tests/test_monkeypatch.py

marcdemers/py_vollib_vectorized

0c2519ff58e3caf2caee37ca37d878e6e5e1eefd

[ "MIT" ]

40

2020-12-17T16:36:32.000Z

2022-02-07T20:11:26.000Z

tests/test_monkeypatch.py

marcdemers/py_vollib_vectorized

0c2519ff58e3caf2caee37ca37d878e6e5e1eefd

[ "MIT" ]

8

2021-01-20T04:17:50.000Z

2022-02-18T07:02:27.000Z

tests/test_monkeypatch.py

marcdemers/py_vollib_vectorized

0c2519ff58e3caf2caee37ca37d878e6e5e1eefd

[ "MIT" ]

13

2020-12-30T21:05:10.000Z

2022-03-27T12:30:26.000Z

import unittest from unittest import TestCase class Test(TestCase): def test_02_vectorized_imports(self): print("test02") import py_vollib.black.implied_volatility import py_vollib.black_scholes.implied_volatility import py_vollib.black_scholes_merton.implied_volatility imp...

42.931818

137

0.728957

210

1,889

6.033333

0.128571

0.176796

0.184688

0.189424

0.875296

0.778216

0.685872

0.504341

0.464878

0

0.002639

0.197459

1,889

43

138

43.930233

0.833113

0.007941

0

0.272727

0

0.152406

0.149198

0

0.272727

1

0.030303

false

0

0.393939

0

0.454545

0.030303

0

null

0

1

0

null

0

1

0

5

3e6846fed01d2e5081085a1f9b9ca2203cbb1dad

1,137

py

Python

b2share/modules/deposit/search.py

hjhsalo/b2share-new

2a2a961f7cc3a5353850e9a409fd7e879c715b0b

[ "MIT" ]

null

b2share/modules/deposit/search.py

hjhsalo/b2share-new

2a2a961f7cc3a5353850e9a409fd7e879c715b0b

[ "MIT" ]

null

b2share/modules/deposit/search.py

hjhsalo/b2share-new

2a2a961f7cc3a5353850e9a409fd7e879c715b0b

[ "MIT" ]

1

2020-09-29T10:56:03.000Z

from elasticsearch_dsl import Q, TermsFacet from flask import has_request_context from flask_login import current_user from invenio_search import RecordsSearch from invenio_search.api import DefaultFilter from .permissions import admin_permission_factory def deposits_filter(): """Filter list of deposits. ...

25.266667

74

0.664908

134

1,137

5.470149

0.537313

0.061392

0.090041

0

0.001164

0.244503

1,137

45

75

25.266667

0.852154

0.277045

0

0.066581

0

1

0.045455

false

0

0.272727

0

0.5

0

null

0

null

0

1

0

3e69d58aa5e27029fd5fb9a2126945c9c542b4c9

1,586

py

Python

code/find_nconfsources.py

fornax-navo/fornax-demo-notebooks

49525d5bed3440d0d1903c29b9a1af8e0ff7e975

[ "BSD-3-Clause" ]

1

2022-02-03T18:12:59.000Z

code/find_nconfsources.py

fornax-navo/fornax-demo-notebooks

49525d5bed3440d0d1903c29b9a1af8e0ff7e975

[ "BSD-3-Clause" ]

1

2022-03-11T21:17:35.000Z

2022-03-11T22:28:46.000Z

code/find_nconfsources.py

fornax-navo/fornax-demo-notebooks

49525d5bed3440d0d1903c29b9a1af8e0ff7e975

[ "BSD-3-Clause" ]

2

2022-02-01T00:57:35.000Z

2022-02-13T22:20:55.000Z

import numpy as np from determine_source_type import determine_source_type #function to figure out how many sources are in cutout #and set up necessary tractor input for those sources def find_nconfsources(raval, decval, gal_type, fluxval, x1, y1, cutout_width, subimage_wcs, df): #setup to collect sources ...

38.682927

111

0.663934

239

1,586

4.276151

0.422594

0.029354

0.074364

0.035225

0.146771

0.086106

0.056751

0

0.024958

0.242119

1,586

40

112

39.65

0.825291

0.283102

0

1

0.05

false

0

0.1

0

0.2

0

null

0

null

0

1

0

3e6ad0d35aefd868861d6a14144cf80665b8e7ea

274

py

Python

setup.py

dalejung/earthdragon

6fc9308288361bbe54d1d0107b4a77e3f27cd9be

[ "MIT" ]

1

2019-12-02T15:10:49.000Z

setup.py

dalejung/earthdragon

6fc9308288361bbe54d1d0107b4a77e3f27cd9be

[ "MIT" ]

5

2015-08-13T16:00:04.000Z

2016-03-14T18:43:11.000Z

setup.py

dalejung/earthdragon

6fc9308288361bbe54d1d0107b4a77e3f27cd9be

[ "MIT" ]

null

from distutils.core import setup DISTNAME='earthdragon' FULLVERSION='0.1' setup( name=DISTNAME, version=FULLVERSION, packages=['earthdragon'], install_requires = [ 'asttools', 'toolz', 'typeguard', 'more_itertools', ] )

16.117647

32

0.605839

24

274

6.833333

0.833333

0

0.00995

0.266423

274

16

33

17.125

0.80597

0

0.222628

0

1

0

false

0

0.071429

0

0.071429

0

1

0

null

0

null

0

1

3e6ad6e1c6ce978983b60511c62b60c613bacb9a

92

py

Python

script.py

juand1809/JuanVelasquez_Ejercicio23

40b20dc3db6e3a9a884265a950dd3ccac1f7a615

[ "MIT" ]

null

script.py

juand1809/JuanVelasquez_Ejercicio23

40b20dc3db6e3a9a884265a950dd3ccac1f7a615

[ "MIT" ]

null

script.py

juand1809/JuanVelasquez_Ejercicio23

40b20dc3db6e3a9a884265a950dd3ccac1f7a615

[ "MIT" ]

null

import os a = os.system("g++ sumatoria.cpp -o sumatoria.x") a = os.system("./sumatoria.x")

18.4

49

0.652174

16

92

3.75

0.5625

0.1

0.3

0

0.130435

92

4

50

23

0.75

0

0.48913

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

4

3e6b0a9948d6ab9ae3bf82cdb88963f7746825d0

334

py

Python

consultas/urls.py

Valarr/django-app

2faac602ce5f36dc9007d4af7a3acd38504f4f95

[ "MIT" ]

null

consultas/urls.py

Valarr/django-app

2faac602ce5f36dc9007d4af7a3acd38504f4f95

[ "MIT" ]

null

consultas/urls.py

Valarr/django-app

2faac602ce5f36dc9007d4af7a3acd38504f4f95

[ "MIT" ]

null

from django.urls import path from . import views urlpatterns = [ path('', views.index, name='index'), path('consultaticket', views.consultaticket, name='consultaticket'), path('consultadecredito', views.consultadecredito, name='consultadecredito'), path('mostrarticket', views.mostrarticket, name='most...

33.4

81

0.730539

32

334

7.625

0.375

0

0.122754

334

10

82

33.4

0.832765

0

0.277612

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

3e6c1c6b5fbe5a4ffcca63260b56292216d80f44

1,973

py

Python

order_history.py

zylizy/DBMS_Project

d6ff25d566a362495e3b4eb68d48d8400f2f20e6

[ "MIT" ]

null

order_history.py

zylizy/DBMS_Project

d6ff25d566a362495e3b4eb68d48d8400f2f20e6

[ "MIT" ]

null

order_history.py

zylizy/DBMS_Project

d6ff25d566a362495e3b4eb68d48d8400f2f20e6

[ "MIT" ]

null

import streamlit as st from db_functions import * def order_history(): st.title("Order History") sorts = ['None','category','time'] sql_userids = f"select pk_user_id from Users" user_ids = query_db(sql_userids)['pk_user_id'].tolist() user_id = st.selectbox("Please select your userid", user_ids) ...

51.921053

115

0.611759

313

1,973

3.613419

0.217252

0.058355

0.035367

0.044209

0.342175

0.322723

0.262599

0

0.000706

0.281804

1,973

38

116

51.921053

0.797459

0.017739

0

0.15625

0

0.125

0.469008

0.071281

0

1

0.03125

false

0

0.0625

0

0.09375

0

null

0

null

0

1

0

3e6d175a2c46fd4c086a5aa6dbda506eabe35fd4

1,415

py

Python

cogs/commands/utility/8ball.py

teSill/temflix

31d40265fa71695966c6178145a1057cd2aeda27

[ "MIT" ]

3

2020-12-21T20:51:56.000Z

2022-01-04T11:55:45.000Z

cogs/commands/utility/8ball.py

teSill/temflix

31d40265fa71695966c6178145a1057cd2aeda27

[ "MIT" ]

null

cogs/commands/utility/8ball.py

teSill/temflix

31d40265fa71695966c6178145a1057cd2aeda27

[ "MIT" ]

null

import discord from discord.ext import commands import random class EightBall(commands.Cog): def __init__(self, client): self.client = client @commands.command(aliases=["8ball", "8-ball"], description="Have the magic 8-ball answer your most burning questions.") async def eight_ball(self, ctx): ...

36.282051

123

0.466431

150

1,415

4.36

0.566667

0.030581

0.015291

0.027523

0.12844

0

0.003741

0.433216

1,415

38

124

37.236842

0.811721

0

0.359717

0

1

0.060606

false

0

0.090909

0

0.181818

0

null

0

null

0

1

0

3e70d3317c13de0952315e701a55b920df03ec85

1,441

py

Python

20210607_fizzbuzz.py

sayloren/codechallenges

b31b64c176a1c03c937e915f3b60657669495681

[ "Apache-2.0" ]

null

20210607_fizzbuzz.py

sayloren/codechallenges

b31b64c176a1c03c937e915f3b60657669495681

[ "Apache-2.0" ]

null

20210607_fizzbuzz.py

sayloren/codechallenges

b31b64c176a1c03c937e915f3b60657669495681

[ "Apache-2.0" ]

null

# code golf challenge # https://code.golf/fizz-buzz#python # wren 20210607 # Print the numbers from 1 to 100 inclusive, each on their own line. # If, however, the number is a multiple of three then print Fizz instead, # and if the number is a multiple of five then print Buzz. # For numbers which are multiples of both ...

46.483871

92

0.725191

254

1,441

4.114173

0.358268

0.051675

0.038278

0.076555

0.254545

0.149282

0

0.039233

0.204025

1,441

30

93

48.033333

0.87184

0

0.078431

0

null

0

null

0.833333

0

null

0

null

0

1

0

1

0

2

3e730fa82d3520ad13dc948a854e1cd1df0331d4

275

py

Python

setup.py

grro/install-raspberry

f6db2d451c1277127a77fdc6b00ea55708f0bd17

[ "Apache-2.0" ]

null

setup.py

grro/install-raspberry

f6db2d451c1277127a77fdc6b00ea55708f0bd17

[ "Apache-2.0" ]

null

setup.py

grro/install-raspberry

f6db2d451c1277127a77fdc6b00ea55708f0bd17

[ "Apache-2.0" ]

null

from setuptools import setup setup( name='install-raspberry', version='', packages=[''], url='https://github.com/grro/httpstreamproxy', license='Apache Software License', author='grro', author_email='gregor.roth@web.de', description='test' )

21.153846

50

0.658182

30

275

6

0.866667

0

0.178182

275

12

51

22.916667

0.79646

0

0.381818

0

1

0

true

0

0.090909

0

0.090909

0

null

0

null

0

1

0

1

3e73f6fed18b11f2933d0b20530ca1d6b4de649e

2,701

py

Python

py_privatekonomi/tests/swedbank/test_swedbank_db.py

nilsFK/py-privatekonomi

9172dfa85e439e18558a60fdb3b69e956e70e783

[ "MIT" ]

2

2015-01-04T21:27:45.000Z

2015-01-05T13:31:52.000Z

py_privatekonomi/tests/swedbank/test_swedbank_db.py

nilsFK/py-privatekonomi

9172dfa85e439e18558a60fdb3b69e956e70e783

[ "MIT" ]

28

2015-01-04T22:13:24.000Z

2019-11-29T13:41:01.000Z

py_privatekonomi/tests/swedbank/test_swedbank_db.py

nilsFK/py-privatekonomi

9172dfa85e439e18558a60fdb3b69e956e70e783

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import print_function from __future__ import unicode_literals import unittest import inspect from py_privatekonomi.utilities import common from py_privatekonomi.tests.test_base import TestBase from py_privatekonomi.tes...

37

84

0.652721

312

2,701

5.375

0.217949

0.076327

0.067979

0.071556

0.751342

0.601073

0.493739

0

0.018191

0.246946

2,701

73

85

37

0.806293

0.01555

0

0.5

0

0.129421

0.088789

0

0.125

1

0.078125

false

0.015625

0.171875

0

0.265625

0.078125

0

null

0

1

0

null

0

1

3e74eb605f50a2789671592734f1dea5fd163012

918

py

Python

gharchive/parse_json.py

IAMABOY/Mining-Github

cf11c94e72b11f3ce9d638b562df438c8e56d149

[ "MIT" ]

8

2019-12-08T11:57:59.000Z

2022-01-24T06:26:56.000Z

gharchive/parse_json.py

IAMABOY/Mining-Github

cf11c94e72b11f3ce9d638b562df438c8e56d149

[ "MIT" ]

null

gharchive/parse_json.py

IAMABOY/Mining-Github

cf11c94e72b11f3ce9d638b562df438c8e56d149

[ "MIT" ]

2

2019-12-17T02:38:55.000Z

2021-12-16T01:53:11.000Z

import sys import os import json import gzip def jsonReader(inputJsonFilePath,pos): flag = False with gzip.open(inputJsonFilePath, 'r') as jsonContent: for rowNumber, line in enumerate(jsonContent, start=1): try: #此处加上flag的目的在于，当程序挂掉时候，可以根据域名从指定位置开始，不必重头开始跑 ...

24.157895

63

0.484749

85

918

5.141176

0.623529

0.032037

0

0.025

0.433551

918

38

64

24.157895

0.815385

0.046841

0

0.12

0

0.038857

0.024

0

1

0.04

false

0

0.16

0

0.2

0.08

0

null

0

null

0

1

0

3e753e4b76a7bccde83190218fa4e3ea302764fe

393

py

Python

iotalib/check_roof.py

WWGolay/iota

f3e67502d7f96bb836b45b7eca4ebb9fe5490e6d

[ "MIT" ]

null

iotalib/check_roof.py

WWGolay/iota

f3e67502d7f96bb836b45b7eca4ebb9fe5490e6d

[ "MIT" ]

null

iotalib/check_roof.py

WWGolay/iota

f3e67502d7f96bb836b45b7eca4ebb9fe5490e6d

[ "MIT" ]

null

#!/usr/bin/python import pycurl from io import BytesIO def checkOpen(): isOpen = False buffer = BytesIO() c = pycurl.Curl() c.setopt(c.URL, 'https://www.winer.org/Site/Roof.php') c.setopt(c.WRITEDATA, buffer) c.perform() c.close() body = buffer.getvalue() if body.fi...

21.833333

59

0.592875

52

393

4.480769

0.711538

0.060086

0.06867

0

0.003436

0.259542

393

18

60

21.833333

0.797251

0.040712

0

0.144444

0

1

0.071429

false

0

0.142857

0

0.214286

0

null

0

null

0

1

0

3e7863d676fdd4741e30575b304165077d18541c

2,238

py

Python

egg/app.py

eanorambuena/Driver

3cb14f5d741c6bae364326305ae0ded04e10e9d4

[ "MIT" ]

null

egg/app.py

eanorambuena/Driver

3cb14f5d741c6bae364326305ae0ded04e10e9d4

[ "MIT" ]

null

egg/app.py

eanorambuena/Driver

3cb14f5d741c6bae364326305ae0ded04e10e9d4

[ "MIT" ]

null

# Imports from egg.resources.console import get, clearConsole from egg.resources.constants import * from egg.resources.modules import install, upgrade, Repo from egg.resources.help import help from egg.resources.auth import login, register """ FUNCTION eggConsole(condition: bool = True) Display the Egg Console Curren...

32.434783

113

0.605004

271

2,238

4.99262

0.357934

0.033259

0.059128

0.039911

0.075388

0.039911

0

0.000637

0.298034

2,238

69

114

32.434783

0.860598

0.00983

0

0.136364

0

0.115357

0

1

0.022727

false

0.022727

0.159091

0

0.204545

0.136364

0

null

0

null

0

1

0

3e78c123f36641a6b522ac2d459248b01e28de60

1,204

py

Python

hello/hello_pil.py

East196/hello-py

a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21

[ "Apache-2.0" ]

1

2017-10-23T14:58:47.000Z

hello/hello_pil.py

East196/hello-py

a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21

[ "Apache-2.0" ]

null

hello/hello_pil.py

East196/hello-py

a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21

[ "Apache-2.0" ]

1

2018-04-06T07:49:18.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from PIL import Image, ImageDraw, ImageFont, ImageFilter import random im = Image.open('F:/workspace/python/data/backpink.jpg') im2 = im.filter(ImageFilter.BLUR) im2.save('F:/workspace/python/data/backpink_blur.png', 'png') im2.save('F:/workspace/python/data/backpink_blu...

24.571429

84

0.680233

183

1,204

4.431694

0.442623

0.112207

0.059186

0.073983

0.263872

0.229346

0

0.067372

0.137043

1,204

48

85

25.083333

0.713186

0.102159

0

0.158092

0.137512

0

1

0.12

false

0

0.08

0.12

0.32

0.04

0

null

0

null

0

1

0

1

3e7a2d3d3d5314bdb0dff02d7d69496583791bdc

382

py

Python

terra_layer/migrations/0028_layergroup_exclusive.py

Terralego/terra-layer

6564a63d389503d3ae1f63ce46e674b228d6764b

[ "MIT" ]

1

2019-08-08T15:17:32.000Z

terra_layer/migrations/0028_layergroup_exclusive.py

Terralego/terra-layer

6564a63d389503d3ae1f63ce46e674b228d6764b

[ "MIT" ]

65

2019-10-21T10:05:00.000Z

2022-03-08T14:08:27.000Z

terra_layer/migrations/0028_layergroup_exclusive.py

Terralego/terra-layer

6564a63d389503d3ae1f63ce46e674b228d6764b

[ "MIT" ]

null

# Generated by Django 2.1.9 on 2019-07-16 10:15 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("terra_layer", "0027_auto_20190715_1631")] operations = [ migrations.AddField( model_name="layergroup", name="exclusive", ...

22.470588

63

0.636126

42

382

5.666667

0.857143

0

0.108772

0.253927

382

16

64

23.875

0.726316

0.117801

0

1

0

0.158209

0.068657

0

1

0

false

0

0.1

0

0.4

0

null

0

1

0

null

0

1

3e7a7495c3ea96af4211a7bee33396978138c459

605

py

Python

docs/examples/best_practices/dynamic_configuration/cdk_appconfig.py

ran-isenberg/aws-lambda-handler-cookbook

adfe58dacd87315151265818869bb842c7eb4971

[ "MIT" ]

61

2022-02-07T05:21:14.000Z

2022-03-27T14:11:30.000Z

docs/examples/best_practices/dynamic_configuration/cdk_appconfig.py

ran-isenberg/aws-lambda-handler-cookbook

adfe58dacd87315151265818869bb842c7eb4971

[ "MIT" ]

17

2022-02-26T05:25:31.000Z

2022-03-16T20:02:46.000Z

docs/examples/best_practices/dynamic_configuration/cdk_appconfig.py

ran-isenberg/aws-lambda-handler-cookbook

adfe58dacd87315151265818869bb842c7eb4971

[ "MIT" ]

4

2022-02-17T16:35:27.000Z

2022-03-07T03:13:07.000Z

from aws_cdk import Stack from aws_lambda_handler_cookbook.service_stack.configuration.configuration_construct import ConfigurationStore from aws_lambda_handler_cookbook.service_stack.constants import CONFIGURATION_NAME, ENVIRONMENT, SERVICE_NAME from constructs import Construct class CookBookConfigurationStack(Stack...

43.214286

124

0.809917

68

605

6.852941

0.485294

0.045064

0.055794

0.085837

0.171674

0

0.115702

605

13

125

46.538462

0.871028

0.054545

0

0.021053

0

1

0.125

false

0

0.5

0

0.75

0

null

0

null

0

1

0

1

0

2

3e7d231b81300bc8be65b86f6758957fdbb26baa

653

py

Python

backend-project/small_eod/users/models.py

merito/small_eod

ab19b82f374cd7c4b21d8f9412657dbe7f7f03e2

[ "MIT" ]

64

2019-12-30T11:24:03.000Z

2021-06-24T01:04:56.000Z

backend-project/small_eod/users/models.py

merito/small_eod

ab19b82f374cd7c4b21d8f9412657dbe7f7f03e2

[ "MIT" ]

465

2018-06-13T21:43:43.000Z

2022-01-04T23:33:56.000Z

backend-project/small_eod/users/models.py

merito/small_eod

ab19b82f374cd7c4b21d8f9412657dbe7f7f03e2

[ "MIT" ]

72

2018-12-02T19:47:03.000Z

2022-01-04T22:54:49.000Z

from django.contrib.auth.models import AbstractUser from ..notifications.utils import TemplateKey, TemplateMailManager class User(AbstractUser): def notify(self, **kwargs): kwargs["user"] = self enabled = self.get_enabled_notifications() key = getattr( TemplateKey, f"{kwargs['...

29.681818

79

0.658499

67

653

6.298507

0.58209

0.047393

0.109005

0

0.240429

653

21

80

31.095238

0.850806

0

0.062787

0.056662

0

1

0.125

false

0

0.125

0.0625

0.5

0

null

0

null

0

1

0

3e7efc62df24d3372d57ba9f3602f16dfbfbeff6

2,689

py

Python

rtlsdr_sstv/utils.py

martinber/rtlsdr_sstv

f59ca523408e949f98c4b81b09b2d46232111f4a

[ "MIT" ]

3

2019-03-16T01:20:09.000Z

2020-12-31T12:31:17.000Z

rtlsdr_sstv/utils.py

martinber/rtlsdr_sstv

f59ca523408e949f98c4b81b09b2d46232111f4a

[ "MIT" ]

null

rtlsdr_sstv/utils.py

martinber/rtlsdr_sstv

f59ca523408e949f98c4b81b09b2d46232111f4a

[ "MIT" ]

1

2020-12-27T02:31:18.000Z

import collections import math import numpy as np def mapeadora(value): valor_mapeado = int((value-1500)/800*255) return valor_mapeado def escribir_pixel(img, columna, linea, canal, valor): '''funcion encargada de escribir pixel por pixel la imagen''' if linea >= img.height: return if can...

29.549451

80

0.581629

368

2,689

4.19837

0.296196

0.100971

0.058252

0.085437

0.368932

0.311974

0.272492

0.262783

0

0.039115

0.277427

2,689

90

81

29.877778

0.756047

0.132391

0

0.262295

0

0.006111

0

1

0.065574

false

0.032787

0.04918

0

0.163934

0

null

0

null

0

1

0

3e7f9f610ed95d40e15a8580e0dd70e9219fb93d

3,653

py

Python

Pong.py

Mishkanian/pong_game

5a04b4b5fc36af2159e60fb85941034a2325996c

[ "MIT" ]

null

Pong.py

Mishkanian/pong_game

5a04b4b5fc36af2159e60fb85941034a2325996c

[ "MIT" ]

null

Pong.py

Mishkanian/pong_game

5a04b4b5fc36af2159e60fb85941034a2325996c

[ "MIT" ]

1

2021-11-15T20:21:53.000Z

""" Pong game by Michael Mishkanian """ import turtle wn = turtle.Screen() wn.title("Pong by Michael Mishkanian") wn.bgcolor("black") wn.setup(width=800, height=600) wn.tracer(0) # Paddle A paddle_a = turtle.Turtle() paddle_a.speed(0) paddle_a.shape("square") paddle_a.color("white") paddle_a.shapesize(stretch_wid=5, ...

26.280576

120

0.611005

565

3,653

3.854867

0.215929

0.067493

0.031221

0.034894

0.583563

0.55877

0.506887

0.455464

0.402204

0

0.043952

0.246373

3,653

138

121

26.471014

0.747185

0.266083

0

0.284091

0

0.081522

0

1

0.045455

false

0

0.011364

0

0.056818

0

null

0

null

0

1

0

3e7fe9149a1b5f7c3cd431d38f69f6e9b05ff08e

108

py

Python

loops_part2/sequence_2k+1.py

MaggieIllustrations/softuni-github-programming

f5695cb14602f3d2974359f6d8734332acc650d3

[ "MIT" ]

null

loops_part2/sequence_2k+1.py

MaggieIllustrations/softuni-github-programming

f5695cb14602f3d2974359f6d8734332acc650d3

[ "MIT" ]

null

loops_part2/sequence_2k+1.py

MaggieIllustrations/softuni-github-programming

f5695cb14602f3d2974359f6d8734332acc650d3

[ "MIT" ]

1

2022-01-14T17:12:44.000Z

number = int(input()) counter = 1 while counter <= number: print(counter) counter = 2 * counter + 1

18

29

0.62963

14

108

4.857143

0.571429

0.235294

0

0.036585

0.240741

108

6

29

18

0.792683

0

1

0

false

0

0.2

1

0

null

1

0

1

0

null

0

3

3e82a49073596a4c986e7e70b3ddc02848ac39cb

385

py

Python

tests/fixtures.py

hdsr-mid/string_finder

64aa38afa562beddc897a0fcb84bf39e53b935fd

[ "MIT" ]

null

tests/fixtures.py

hdsr-mid/string_finder

64aa38afa562beddc897a0fcb84bf39e53b935fd

[ "MIT" ]

null

tests/fixtures.py

hdsr-mid/string_finder

64aa38afa562beddc897a0fcb84bf39e53b935fd

[ "MIT" ]

null

from pathlib import Path from string_finder.constants import TEST_DATA_DIR from typing import List import pytest @pytest.fixture def caw_xml_paths() -> List[Path]: xml_dir = TEST_DATA_DIR / "xmls" assert xml_dir.is_dir() _paths = [x for x in xml_dir.iterdir()] assert len(_paths) == 4, f"expected 4 xm...

25.666667

90

0.719481

63

385

4.142857

0.52381

0.091954

0.084291

0

0.006369

0.184416

385

14

91

27.5

0.824841

0

0.161039

0

0.181818

1

0.090909

false

0

0.363636

0

0.545455

0

null

0

null

0

1

0

1

0

2

3e83c39b04f2c10f748cc83b7509198a99b52216

1,432

py

Python

clean.py

glqstrauss/oopsgenie

d1984e332b11f972db2008867f1aba0917457b9b

[ "MIT" ]

5

2020-01-02T21:15:31.000Z

2020-07-29T18:01:51.000Z

clean.py

glqstrauss/oopsgenie

d1984e332b11f972db2008867f1aba0917457b9b

[ "MIT" ]

2

2020-01-07T15:36:44.000Z

2020-01-13T20:38:45.000Z

clean.py

glqstrauss/oopsgenie

d1984e332b11f972db2008867f1aba0917457b9b

[ "MIT" ]

1

2020-07-29T17:10:32.000Z

import csv from utils import get_valid_colum_indices class Cleaner(): def clean(file, clean_columns, remove): print ("Cleaning {}".format(file)) print ("For columns {}".format(clean_columns)) new_file = file[0:-7] + "clean.csv" with open(file, 'r') as raw_file: reader...

34.926829

73

0.48743

143

1,432

4.72028

0.398601

0.106667

0.038519

0.059259

0

0.003641

0.424581

1,432

41

74

34.926829

0.815534

0

0.060606

0

0.05792

0

1

0.030303

false

0

0.060606

0

0.151515

0.121212

0

null

0

null

0

1

0

3e869ea6160f40dc58804e7f852689a43590b0fc

516

py

Python

issues_list/migrations/0003_auto_20181106_1541.py

vmcggh18/bits_tracker

7c09aae321efb13979bed274d973c77319ce795e

[ "PostgreSQL" ]

null

issues_list/migrations/0003_auto_20181106_1541.py

vmcggh18/bits_tracker

7c09aae321efb13979bed274d973c77319ce795e

[ "PostgreSQL" ]

7

2020-06-05T19:50:41.000Z

2022-03-11T23:39:39.000Z

issues_list/migrations/0003_auto_20181106_1541.py

vmcggh18/bits_tracker

7c09aae321efb13979bed274d973c77319ce795e

[ "PostgreSQL" ]

1

2019-02-19T15:30:16.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.16 on 2018-11-06 15:41 from __future__ import unicode_literals from django.conf import settings from django.db import migrations class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), (...

23.454545

66

0.649225

56

516

5.785714

0.75

0.061728

0

0.055556

0.232558

516

21

67

24.571429

0.762626

0.133721

0

1

0

0.085586

0

1

0

false

0

0.214286

0

0.428571

0

null

0

1

0

null

0

1

3e87d53a9a7c9e621189fb9905a20df232be3db0

6,203

py

Python

sentiment_analysis.py

bernardomelo/projeto-final

f0207144282b04e1b781604bf96d69634ca68ee8

[ "MIT" ]

null

sentiment_analysis.py

bernardomelo/projeto-final

f0207144282b04e1b781604bf96d69634ca68ee8

[ "MIT" ]

null

sentiment_analysis.py

bernardomelo/projeto-final

f0207144282b04e1b781604bf96d69634ca68ee8

[ "MIT" ]

null

############################################################################### # Univesidade Federal de Pernambuco -- UFPE (http://www.ufpe.br) # Centro de Informatica -- CIn (http://www.cin.ufpe.br) # Bacharelado em Sistemas de Informacao # IF968 -- Programacao 1 # # Autor: Bernardo Gomes de Melo # ...

35.855491

107

0.563759

757

6,203

4.594452

0.343461

0.025877

0.036228

0.011213

0.120759

0.093157

0.073606

0.036803

0

0.014098

0.325326

6,203

172

108

36.063953

0.816965

0

0.134146

0

0.069247

0.01598

0

null

0

0.02439

null

0.036585

0

null

0

null

0

1

0

1

3e8a5b0b6fc0612db9638f1736e52adef498431d

37,129

py

Python

morm/db.py

neurobin/python-morm

2b6dcedc7090a9e642331300a24dfcca41ea1afe

[ "BSD-3-Clause" ]

4

2021-03-12T16:36:24.000Z

2022-03-06T09:26:14.000Z

morm/db.py

neurobin/python-morm

2b6dcedc7090a9e642331300a24dfcca41ea1afe

[ "BSD-3-Clause" ]

null

morm/db.py

neurobin/python-morm

2b6dcedc7090a9e642331300a24dfcca41ea1afe

[ "BSD-3-Clause" ]

null

"""DB utilities. """ __author__ = 'Md Jahidul Hamid <jahidulhamid@yahoo.com>' __copyright__ = 'Copyright © Md Jahidul Hamid <https://github.com/neurobin/>' __license__ = '[BSD](http://www.opensource.org/licenses/bsd-license.php)' __version__ = '0.1.0' import collections import re import asyncio import nest_asyncio #...

33.969808

267

0.577177

4,602

37,129

4.538027

0.125815

0.017717

0.014078

0.011061

0.351992

0.292521

0.262354

0.231134

0.189667

0.171854

0

0.005954

0.321474

37,129

1,092

268

34.000916

0.822967

0.348299

0

0.239691

0

0.005155

0.08693

0.025129

0

0.000916

0

1

0.095361

false

0.002577

0.033505

0.005155

0.268041

0

null

0

null

0

1

0

3e8b7eee7855784a75f5858aea2cd7099da89f3d

4,197

py

Python

gistsig/cli.py

derekmerck/check-hashes

aaa7d596281e41bbb5b73850c5d43113b7d0632b

[ "MIT" ]

1

2019-01-26T22:33:02.000Z

gistsig/cli.py

derekmerck/check-hashes

aaa7d596281e41bbb5b73850c5d43113b7d0632b

[ "MIT" ]

null

gistsig/cli.py

derekmerck/check-hashes

aaa7d596281e41bbb5b73850c5d43113b7d0632b

[ "MIT" ]

null

""" gistsig Derek Merck Winter 2019 Sign and verify Python packages using public gists. """ import logging from pprint import pformat from datetime import datetime import click from . import get_gist, update_gist from . import get_pkg_info, get_pkg_gist @click.group() @click.option('--verbose', '-v', is_flag=True, ...

27.794702

99

0.646414

581

4,197

4.462995

0.232358

0.076359

0.038565

0.037023

0.387968

0.311994

0.25646

0.237948

0.213266

0

0.017044

0.231117

4,197

150

100

27.98

0.786489

0.114844

0

0.357143

0

0.162147

0

1

0.071429

false

0.05102

0.061224

0

0.153061

0.010204

0

null

0

null

0

1

0

1

3e8c2e49f52c5a966e053c091e7e268d680d58d4

2,397

py

Python

cvxpy/reductions/solvers/conic_solvers/super_scs_conif.py

mostafaelaraby/cvxpy

078e025be8b8315b5f579bd0209e8e3a1e2a2a19

[ "ECL-2.0", "Apache-2.0" ]

2

2021-09-24T12:59:45.000Z

2021-09-24T13:00:08.000Z

cvxpy/reductions/solvers/conic_solvers/super_scs_conif.py

mostafaelaraby/cvxpy

078e025be8b8315b5f579bd0209e8e3a1e2a2a19

[ "ECL-2.0", "Apache-2.0" ]

null

cvxpy/reductions/solvers/conic_solvers/super_scs_conif.py

mostafaelaraby/cvxpy

078e025be8b8315b5f579bd0209e8e3a1e2a2a19

[ "ECL-2.0", "Apache-2.0" ]

1

2020-04-12T05:17:18.000Z

""" Copyright 2018 Riley Murray 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, software d...

33.291667

88

0.635378

318

2,397

4.669811

0.399371

0.059259

0.040404

0.051178

0.078114

0.051178

0

0.009159

0.271172

2,397

71

89

33.760563

0.84087

0.377138

0

0.064516

0

0.024158

0

1

0.096774

false

0

0.193548

0.032258

0.419355

0

null

0

null

0

1

0

3e8fb96193b2244d64a924fa63c9c59dfafd9741

557

py

Python

Software_University/fundamentals/functions/lecture/orders.py

Ivanazzz/SoftUni-W3resource-Python

892321a290e22a91ff2ac2fef5316179a93f2f17

[ "MIT" ]

1

2022-01-26T07:38:11.000Z

Software_University/fundamentals/functions/lecture/orders.py

Ivanazzz/SoftUni-W3resource-Python

892321a290e22a91ff2ac2fef5316179a93f2f17

[ "MIT" ]

null

Software_University/fundamentals/functions/lecture/orders.py

Ivanazzz/SoftUni-W3resource-Python

892321a290e22a91ff2ac2fef5316179a93f2f17

[ "MIT" ]

null

product_type = input("Enter the product type(coffee, water, coke, snacks): ") quantity = int(input("Enter the quantity: ")) def price(): if product_type == "coffee": total_price = quantity * 1.50 return total_price elif product_type == "water": total_price = quantity * 1.00 retu...

30.944444

77

0.626571

71

557

4.732394

0.352113

0.238095

0.214286

0.169643

0.276786

0

0.031477

0.258528

557

18

78

30.944444

0.782082

0

0.25

0

0.191756

0

1

0.0625

false

0

0.3125

0.0625

0

null

1

0

null

0

3

e40f115d7100a36cb4b801ec2f9f1a7a1eb33d05

4,984

py

Python

linear_model.py

gavb222/flatpanel-localize

6504eb94379f5df268ae280f996c7dd66f063e4e

[ "MIT" ]

1

2021-02-01T18:17:11.000Z

linear_model.py

gavb222/flatpanel-localize

6504eb94379f5df268ae280f996c7dd66f063e4e

[ "MIT" ]

null

linear_model.py

gavb222/flatpanel-localize

6504eb94379f5df268ae280f996c7dd66f063e4e

[ "MIT" ]

1

2021-02-01T18:07:12.000Z

import torch import torch.nn as nn import torch.nn.functional as F import math import time import random import matlab.engine def gaussian(spread): #spread controls the size of the array linspace = torch.linspace(-2.5,2.5,spread) # gaussian = e^((-x)^2/2) when standard dev is 1 and height is 1 ...

33.006623

131

0.647673

765

4,984

4.040523

0.249673

0.029117

0.032028

0.03494

0.213847

0.162731

0.052734

0.025558

0.018764

0

0.041967

0.220706

4,984

150

132

33.226667

0.753862

0.215891

0

0.068182

0

0.00268

0

0.006667

0

1

0.068182

false

0

0.079545

0

0.238636

0.022727

0

null

0

null

0

1

0

e40f68af3b51a18af4106a68a0e2666e5541b720

4,438

py

Python

client/client.py

s-ball/remo_serv

66accbd77183db0628a9618cf258656ec2d81316

[ "MIT" ]

null

client/client.py

s-ball/remo_serv

66accbd77183db0628a9618cf258656ec2d81316

[ "MIT" ]

null

client/client.py

s-ball/remo_serv

66accbd77183db0628a9618cf258656ec2d81316

[ "MIT" ]

null

# Copyright (c) 2020 SBA- MIT License import getpass import argparse import sys import cmd import shlex from urllib.error import HTTPError from cryptography.hazmat.primitives import serialization from client.clientlib import login, Connection from client import smartcard def parse2(arg): args = list(shlex.sp...

30.190476

83

0.570077

555

4,438

4.45045

0.275676

0.018219

0.048178

0.043725

0.255061

0.209717

0.181377

0

0.008157

0.309374

4,438

146

84

30.39726

0.797716

0.1032

0

0.318182

0

0.102238

0

1

0.118182

false

0.018182

0.081818

0

0.254545

0.109091

0

null

0

null

0

1

0

e410307635af99e3b3cc52fdda648a0910806c95

1,867

py

Python

unfollower.py

Sam-F90/unfollower

feee9815f440d3a654f77a21ec84680ac92022c1

[ "MIT" ]

null

unfollower.py

Sam-F90/unfollower

feee9815f440d3a654f77a21ec84680ac92022c1

[ "MIT" ]

null

unfollower.py

Sam-F90/unfollower

feee9815f440d3a654f77a21ec84680ac92022c1

[ "MIT" ]

null

import tweepy import datetime import os # get keys from evironment variable "TWITTER_KEYS" TWITTER_API_KEYS = (os.environ.get("TWITTER_KEYS").split(",")) consumer_key,consumer_secret,access_token_key,access_token_secret = TWITTER_API_KEYS # Authenticate to Twitter auth = tweepy.OAuthHandler(consumer_key, consumer_se...

27.455882

139

0.719336

285

1,867

4.536842

0.364912

0.042537

0.020882

0.03867

0.098995

0.051044

0

0.149438

1,867

68

140

27.455882

0.814232

0.225495

0

0.084438

0

1

0

false

0

0.083333

0

0.083333

0.055556

0

null

0

null

0

1

0

e4129e9fa1ffc789238869830a16a81f822bb51c

2,113

py

Python

alpha/NN/autoencoders/charlie.py

DanielBerns/keras-effective-adventure

d9bc8c08f769f0c07379d2a3756d040ca14239f2

[ "MIT" ]

null

alpha/NN/autoencoders/charlie.py

DanielBerns/keras-effective-adventure

d9bc8c08f769f0c07379d2a3756d040ca14239f2

[ "MIT" ]

null

alpha/NN/autoencoders/charlie.py

DanielBerns/keras-effective-adventure

d9bc8c08f769f0c07379d2a3756d040ca14239f2

[ "MIT" ]

null

# https://medium.com/datadriveninvestor/deep-autoencoder-using-keras-b77cd3e8be95 from keras.datasets import mnist from keras.layers import Input, Dense from keras.models import Model import numpy as np import pandas as pd import matplotlib.pyplot as plt (X_train, _), (X_test, _) = mnist.load_data() X_train = X_trai...

27.802632

87

0.69664

310

2,113

4.596774

0.329032

0.045614

0.063158

0.025263

0.317895

0.271579

0.178947

0.146667

0

0.040851

0.154283

2,113

75

88

28.173333

0.756575

0.073355

0

0.173077

0

0.046107

0

1

0

false

0

0.115385

0

0.115385

0.076923

0

null

0

null

0

1

0

e4137613cb4a7761df5564e9e723f2867c6f080e

5,569

py

Python

tests/pages/alert_box_page.py

nairraghav/selenium-example

88e4316a75bcd7feced65489c0ffe1b8c2b8487b

[ "MIT" ]

null

tests/pages/alert_box_page.py

nairraghav/selenium-example

88e4316a75bcd7feced65489c0ffe1b8c2b8487b

[ "MIT" ]

null

tests/pages/alert_box_page.py

nairraghav/selenium-example

88e4316a75bcd7feced65489c0ffe1b8c2b8487b

[ "MIT" ]

null

class AlertBoxPage: def __init__(self, driver): self.driver = driver self.title_css = "h1" self.title_text = "Alert Box Examples" self.explanation_css = "div.explanation > p" self.explanation_text = ( "There are three main JavaScript methods " "which ...

40.355072

88

0.644101

690

5,569

4.831884

0.146377

0.071986

0.071386

0.10078

0.64847

0.444811

0.440912

0.377325

0.358428

0.311638

0

0.000989

0.274017

5,569

137

89

40.649635

0.823646

0

0.309524

0

0.147064

0.014186

0

0.095238

1

0.047619

false

0

0.079365

0

null

0

null

0

1

0

e41482448ad0c9a9ce2ec0102c5edc24cd4e69ff

11,339

py

Python

tests/test_views/test_memberships.py

freelancing-solutions/GCP-Based-Database-as-a-Service

7d6a12c33db238ca2f748bf4ddea6d2cf3c16da3

[ "MIT" ]

1

2021-04-15T19:45:04.000Z

tests/test_views/test_memberships.py

freelancing-solutions/pinydesk

7d6a12c33db238ca2f748bf4ddea6d2cf3c16da3

[ "MIT" ]

516

2021-05-02T11:46:36.000Z

2022-03-29T06:09:49.000Z

tests/test_views/test_memberships.py

freelancing-solutions/pinydesk

7d6a12c33db238ca2f748bf4ddea6d2cf3c16da3

[ "MIT" ]

1

2021-09-04T22:40:14.000Z

import random import typing from datetime import datetime, timedelta from random import randint from google.cloud import ndb from data_service.config.stocks import currency_symbols from data_service.store.mixins import AmountMixin from data_service.views.memberships import MembershipsView from data_service.store.member...

45.175299

115

0.71038

1,310

11,339

5.860305

0.101527

0.025791

0.065911

0.057314

0.756155

0.711606

0.668881

0.636577

0.587469

0.552299

0

0.006232

0.193315

11,339

250

116

45.356

0.83306

0.040833

0

0.527174

0

0.146658

0.092985

0

0.081522

1

0.092391

false

0

0.070652

0.027174

0.222826

0

null

0

1

0

null

0

1

e414c3ce91122f63e50497c6f5b8998f2cc88f9e

3,893

py

Python

padmini/prakarana/dvitva.py

sanskrit/padmini

8e7e8946a7d2df9c941f689ea4bc7b6ebb7ca1d0

[ "MIT" ]

1

2022-03-01T05:05:04.000Z

padmini/prakarana/dvitva.py

sanskrit/padmini

8e7e8946a7d2df9c941f689ea4bc7b6ebb7ca1d0

[ "MIT" ]

null

padmini/prakarana/dvitva.py

sanskrit/padmini

8e7e8946a7d2df9c941f689ea4bc7b6ebb7ca1d0

[ "MIT" ]

null

from padmini import filters as f from padmini import operations as op from padmini.constants import Tag as T from padmini.sounds import s from padmini.prakriya import Term, Prakriya from padmini.term_views import TermView from padmini.prakarana.utils import eka_ac def _double(rule: str, p: Prakriya, dhatu: Term, i: i...

31.144

81

0.554585

610

3,893

3.47541

0.247541

0.013208

0.049057

0.075472

0.396226

0.315094

0.242453

0.172642

0.149057

0.062264

0

0.025173

0.295916

3,893

124

82

31.395161

0.748267

0.12972

0

0.255814

0

0.048961

0

0.008065

0

1

0.034884

false

0

0.081395

0

0.127907

0

null

0

null

0

1

0

e415ae5887fb3b1c6bbb5eae6bf773f7d423747e

1,152

py

Python

8kyu/a-wolf-in-sheeps-clothing/solution.py

Morioki/Code-Katas

65bffc0675d3c0f68c60706e95e38ab1dcfc8636

[ "MIT" ]

null

8kyu/a-wolf-in-sheeps-clothing/solution.py

Morioki/Code-Katas

65bffc0675d3c0f68c60706e95e38ab1dcfc8636

[ "MIT" ]

null

8kyu/a-wolf-in-sheeps-clothing/solution.py

Morioki/Code-Katas

65bffc0675d3c0f68c60706e95e38ab1dcfc8636

[ "MIT" ]

null

import unittest def warn_the_sheep(queue): return 'Pls go away and stop eating my sheep' if queue[::-1].index('wolf') == 0 else f"Oi! Sheep number {queue[::-1].index('wolf')}! You are about to be eaten by a wolf!" class TestSolution(unittest.TestCase): def test_1(self): self.assertEquals(warn_the_she...

57.6

175

0.62934

177

1,152

4

0.242938

0.268362

0.254237

0.225989

0.778249

0.740113

0.680791

0.661017

0.360169

0.19209

0

0.013058

0.202257

1,152

20

176

57.6

0.757345

0

0.071429

0.448395

0.024284

0

0.357143

1

0.428571

false

0

0.071429

0.642857

0

null

1

0

1

0

null

0

1

0

5

e4160c8bd63d807a761f9c2eb1581d092fef5ff0

449

py

Python

modules/dbnd-airflow/src/dbnd_airflow/scheduler/dags/dbnd_dropin_scheduler.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

null

modules/dbnd-airflow/src/dbnd_airflow/scheduler/dags/dbnd_dropin_scheduler.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

null

modules/dbnd-airflow/src/dbnd_airflow/scheduler/dags/dbnd_dropin_scheduler.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

null

import logging logger = logging.getLogger("dbnd-scheduler") try: from dbnd_airflow.scheduler.scheduler_dags_provider import get_dags # airflow will only scan files containing the text DAG or airflow. This comment performs this function dags = get_dags() if dags: for dag in dags: ...

24.944444

106

0.710468

63

449

4.968254

0.634921

0.067093

0

0.224944

449

17

107

26.411765

0.899425

0.222717

0

0.152738

0

1

0

false

0

0.181818

0

0.181818

0

null

0

null

0

1

0

e41914e68f6a31dadb107fe8bb9eaf841bed6173

4,268

py

Python

tanacompendium/utils/modelmanagers.py

nkoech/tanacompendium

b4fd81b23f2c8263735806765d93eb4a70be8aba

[ "MIT" ]

null

tanacompendium/utils/modelmanagers.py

nkoech/tanacompendium

b4fd81b23f2c8263735806765d93eb4a70be8aba

[ "MIT" ]

null

tanacompendium/utils/modelmanagers.py

nkoech/tanacompendium

b4fd81b23f2c8263735806765d93eb4a70be8aba

[ "MIT" ]

null

import datetime from django.contrib.contenttypes.models import ContentType from django.db.models import FieldDoesNotExist from django.db.models.base import ObjectDoesNotExist def create_model_type(instance, model_type, key, slugify, **kwargs): """ Create object by model type :param instance: Model manager...

34.419355

112

0.684161

561

4,268

5.016043

0.194296

0.072495

0.037313

0.049751

0.366382

0.341507

0.290334

0.261905

0.246979

0

0.001856

0.242502

4,268

123

113

34.699187

0.868543

0.376054

0

0.172414

0

0.013508

0

1

0.12069

false

0

0.068966

0

0.396552

0

null

0

null

0

1

0

e4193bf7c1b3cd811dde985083067c06d301bbfb

2,588

py

Python

deletion_test.py

tjake/cassandra-dtest

df49e4f16b2ed8b9c38f767fffd796ae3d9cc6f3

[ "Apache-2.0" ]

null

deletion_test.py

tjake/cassandra-dtest

df49e4f16b2ed8b9c38f767fffd796ae3d9cc6f3

[ "Apache-2.0" ]

null

deletion_test.py

tjake/cassandra-dtest

df49e4f16b2ed8b9c38f767fffd796ae3d9cc6f3

[ "Apache-2.0" ]

null

from dtest import Tester import os, sys, time from ccmlib.cluster import Cluster from tools import require, since from jmxutils import make_mbean, JolokiaAgent class TestDeletion(Tester): def gc_test(self): """ Test that tombstone are fully purge after gc_grace """ cluster = self.cluster ...

34.052632

91

0.632921

336

2,588

4.785714

0.324405

0.064677

0.037313

0.046642

0.304726

0.295398

0.198383

0.126866

0.069652

0

0.027806

0.235703

2,588

75

92

34.506667

0.785137

0.031685

0

0.226415

0

0.131253

0

0.09434

1

0.09434

false

0

0.09434

0.018868

0.264151

0

null

0

null

0

1

0

e41bb3e24e831bc6c9db543d89a47e06639cb0a0

355

py

Python

src/comments/migrations/0004_auto_20200209_1812.py

samrika25/TRAVIS_HEROKU_GIT

bcae6d0422d9a0369810944a91dd03db7df0d058

[ "MIT" ]

null

src/comments/migrations/0004_auto_20200209_1812.py

samrika25/TRAVIS_HEROKU_GIT

bcae6d0422d9a0369810944a91dd03db7df0d058

[ "MIT" ]

4

2021-03-30T12:35:36.000Z

2021-06-10T18:11:24.000Z

src/comments/migrations/0004_auto_20200209_1812.py

samrika25/TRAVIS_HEROKU_GIT

bcae6d0422d9a0369810944a91dd03db7df0d058

[ "MIT" ]

2

2021-02-07T16:16:36.000Z

2021-07-13T05:26:51.000Z

# Generated by Django 3.0.2 on 2020-02-09 18:12 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('comments', '0003_auto_20200208_0812'), ] operations = [ migrations.AlterModelOptions( name='comment', options={'ordering': [...

19.722222

51

0.6

36

355

5.805556

0.888889

0

0.120623

0.276056

355

17

52

20.882353

0.692607

0.126761

0

1

0

0.188312

0.074675

0

1

0

false

0

0.090909

0

0.363636

0

null

0

1

0

null

0

1

e41c425d0ed1f3d737beeff6b6c0f31113fafb62

768

py

Python

multicasting_test_scripts/sender.py

sandwichdoge/libmulticastudp

735a3a6242d5444f9a5a070322a7033296707cdf

[ "MIT" ]

null

multicasting_test_scripts/sender.py

sandwichdoge/libmulticastudp

735a3a6242d5444f9a5a070322a7033296707cdf

[ "MIT" ]

null

multicasting_test_scripts/sender.py

sandwichdoge/libmulticastudp

735a3a6242d5444f9a5a070322a7033296707cdf

[ "MIT" ]

null

# # mostly copied from # http://bioportal.weizmann.ac.il/course/python/PyMOTW/PyMOTW/docs/socket/multicast.html # import socket import struct import sys import time message = 'data worth repeating' multicast_group = ('226.1.1.1', 4321) # Create the datagram socket sock = socket.socket(socket.AF_INET, socket.SOCK_D...

20.756757

90

0.670573

105

768

4.866667

0.628571

0.082192

0.054795

0

0.025042

0.220052

768

36

91

21.333333

0.828047

0.328125

0

0.116371

0

1

0

false

0

0.222222

0

0.222222

0.111111

0

null

0

null

0

1

0

e42510b046e5ad727d96dec824908363abd5654f

852

py

Python

python/chol_factor_test.py

davxy/numeric

1e8b44a72e1d570433a5ba81ae0795a750ce5921

[ "Unlicense" ]

2

2020-05-03T17:02:44.000Z

2022-02-21T04:09:34.000Z

python/chol_factor_test.py

davxy/numeric

1e8b44a72e1d570433a5ba81ae0795a750ce5921

[ "Unlicense" ]

null

python/chol_factor_test.py

davxy/numeric

1e8b44a72e1d570433a5ba81ae0795a750ce5921

[ "Unlicense" ]

null

import numpy as np from chol_factor import chol_factor from triangular import triangular # TEST: Cholesky factorization (LL') # Symmetric positive definite matrix A = np.matrix('5 1.2 0.3 -0.6;' '1.2 6 -0.4 0.9;' '0.3 -0.4 8 1.7;' '-0.6 0.9 1.7 10'); print('A = ...

23.027027

53

0.580986

150

852

3.28

0.373333

0.060976

0.012195

0

0.064815

0.239437

852

36

54

23.666667

0.694444

0.190141

0

0.264706

0

1

0

false

0

0.136364

0

0.136364

0.272727

0

null

0

null

0

1

0

e4257523a5f56faf33e09f713fd3a02e93109a4b

11,245

py

Python

PSO_system/GUI/gui_root.py

daniel4lee/PSO-car-simulator

b4aebca0fed614e33acc3e7d665085d55a67b82a

[ "MIT" ]

1

2022-03-23T21:51:59.000Z

PSO_system/GUI/gui_root.py

daniel4lee/PSO-car-simulator

b4aebca0fed614e33acc3e7d665085d55a67b82a

[ "MIT" ]

1

2018-10-08T12:53:42.000Z

2018-10-08T13:46:13.000Z

PSO_system/GUI/gui_root.py

daniel4lee/PSO-car-simulator

b4aebca0fed614e33acc3e7d665085d55a67b82a

[ "MIT" ]

2

2020-04-26T08:22:53.000Z

2021-05-18T09:51:24.000Z

"""Build the tkinter gui root""" import math from PyQt5.QtWidgets import *#(QWidget, QToolTip, QDesktopWidget, QPushButton, QApplication) from PyQt5.QtGui import QFont from PyQt5.QtCore import QCoreApplication, QObject, QRunnable, QThread, QThreadPool, pyqtSignal, pyqtSlot from PyQt5.QtGui import QIntValidator, QDoubl...

41.494465

139

0.649355

1,396

11,245

4.984241

0.161175

0.049583

0.035499

0.024432

0.237281

0.136677

0.088675

0.08307

0

0.020826

0.23566

11,245

270

140

41.648148

0.788714

0.052557

0

0.076596

0

0.061251

0.015266

0

1

0.051064

false

0

0.042553

0

0.097872

0.004255

0

null

0

null

0

1

0

e425b8c86c1c0699016fdb4cfc8b01eea833c4f2

2,346

py

Python

qsrlib/src/qsrlib_qsrs/qsr_cardinal_direction.py

alexiatoumpa/QSR_Detector

ff92a128dddb613690a49a7b4130afeac0dd4381

[ "MIT" ]

15

2015-06-15T16:50:37.000Z

2022-03-27T09:25:56.000Z

qsrlib/src/qsrlib_qsrs/qsr_cardinal_direction.py

alexiatoumpa/QSR_Detector

ff92a128dddb613690a49a7b4130afeac0dd4381

[ "MIT" ]

205

2015-01-22T12:02:59.000Z

2022-03-29T11:59:55.000Z

qsrlib/src/qsrlib_qsrs/qsr_cardinal_direction.py

alexiatoumpa/QSR_Detector

ff92a128dddb613690a49a7b4130afeac0dd4381

[ "MIT" ]

16

2015-02-04T23:13:18.000Z

2022-03-08T13:45:53.000Z

# -*- coding: utf-8 -*- from __future__ import print_function, division from qsrlib_qsrs.qsr_dyadic_abstractclass import QSR_Dyadic_1t_Abstractclass import math class QSR_Cardinal_Direction(QSR_Dyadic_1t_Abstractclass): """Cardinal direction relations. Values of the abstract properties * **_unique_id*...

31.28

118

0.561381

307

2,346

4.123779

0.439739

0.015798

0.047393

0.037915

0.131122

0.091627

0.053712

0

0.036992

0.297101

2,346

74

119

31.702703

0.730746

0.373402

0

0.043257

0

1

0.103448

false

0

0.103448

0

0.448276

0.034483

0

null

0

null

0

1

0

e4287373cf648c93ed322e508af33deff1f8e862

4,291

py

Python

clustering/GMM.py

peasant98/NBA-Stats-Clustering

57ff7e70a8cbb0c609d6a6720134a37695e2a860

[ "MIT" ]

null

clustering/GMM.py

peasant98/NBA-Stats-Clustering

57ff7e70a8cbb0c609d6a6720134a37695e2a860

[ "MIT" ]

null

clustering/GMM.py

peasant98/NBA-Stats-Clustering

57ff7e70a8cbb0c609d6a6720134a37695e2a860

[ "MIT" ]

null

# NBA Stats Clustering # Copyright Matthew Strong, 2019 # gaussian mixture models with em algorithm import numpy as np from scipy import stats from clustering.Cluster import NBACluster # nba gmm class # gmm from scratch as well, more explained below class NBAGMM(NBACluster): def fit(self): self.method = '...

40.102804

120

0.554649

597

4,291

3.891122

0.286432

0.028412

0.034438

0.028412

0.093844

0.066294

0.033577

0.019802

0

0.014255

0.346073

4,291

106

121

40.481132

0.813614

0.271265

0

0.057143

0

0.000969

0

1

0.057143

false

0

0.042857

0.014286

0.157143

0

null

0

null

0

1

0

e428f454d7dceb480c84f33f264e2ac819a010fd

1,484

py

Python

ML/eval.py

Data-Science-Community-SRM/Fashion-Generation

fa062e2b31b4fba8945820d911dfa41de45b1333

[ "MIT" ]

1

2021-04-27T09:13:09.000Z

ML/eval.py

Aradhya-Tripathi/Fashion-Generation

fa062e2b31b4fba8945820d911dfa41de45b1333

[ "MIT" ]

null

ML/eval.py

Aradhya-Tripathi/Fashion-Generation

fa062e2b31b4fba8945820d911dfa41de45b1333

[ "MIT" ]

1

2021-03-12T13:15:08.000Z

import torch from torch.utils.data import DataLoader import matplotlib.pyplot as plt import sys sys.path.append("./ML") import Definitions.models as models from Definitions.dataset import Data def main(imgpath="Data", noise_dim=100, vec_shape=100, root="./ModelWeights/"): netG = models.Generator...

26.981818

94

0.617925

213

1,484

4.178404

0.431925

0.035955

0.04382

0.060674

0.141573

0.053933

0

0.033943

0.225741

1,484

54

95

27.481481

0.740644

0.045822

0

0.038348

0

1

0.032258

false

0

0.193548

0

0.225806

0

null

0

null

0

1

0

e42935051444daddcd5cee33f9a2daa9cde6e823

4,965

py

Python

app/screens/authorize.py

jimkutter/rpi_lcars

f5ae0891f26d3494ad77f894c4f7733deaf063ee

[ "MIT" ]

null

app/screens/authorize.py

jimkutter/rpi_lcars

f5ae0891f26d3494ad77f894c4f7733deaf063ee

[ "MIT" ]

null

app/screens/authorize.py

jimkutter/rpi_lcars

f5ae0891f26d3494ad77f894c4f7733deaf063ee

[ "MIT" ]

null

from datetime import datetime, timedelta import pygame from pygame.mixer import Sound from screens.base_screen import BaseScreen from ui import colours from ui.widgets.background import LcarsBackgroundImage from ui.widgets.gifimage import LcarsGifImage from ui.widgets.lcars_widgets import LcarsButton from ui.widgets....

31.03125

118

0.557301

568

4,965

4.723592

0.323944

0.033545

0.041744

0.020872

0.166232

0.135296

0.07678

0

0.023974

0.327895

4,965

159

119

31.226415

0.780042

0.022357

0

0.066116

0

0.096841

0.052577

0

1

0.07438

false

0

0.082645

0

0.181818

0.008264

0

null

0

null

0

1

0

e42efd7b2e91e2b6ad55453d791a04774b95fe07

31

py

Python

swarm_tasks/utils/__init__.py

rmvanarse/swarm_tasks

3335297ba8fcdbff756ae519002bcce919d54a84

[ "MIT" ]

6

2021-03-13T12:54:18.000Z

2022-01-29T12:12:28.000Z

swarm_tasks/utils/__init__.py

rmvanarse/swarm_tasks

3335297ba8fcdbff756ae519002bcce919d54a84

[ "MIT" ]

null

swarm_tasks/utils/__init__.py

rmvanarse/swarm_tasks

3335297ba8fcdbff756ae519002bcce919d54a84

[ "MIT" ]

2

2021-08-06T15:02:15.000Z

2022-02-08T12:11:30.000Z

import swarm_tasks.utils.robot

15.5

30

0.870968

5

31

5.2

1

0

0.064516

31

1

31

0.896552

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

e4324e2ffd9d0f0cc445c08f1b32895fbc79b0d2

2,178

py

Python

Problems/P0010 - Soma de primos.py

clasenback/EulerProject

775d9774fcdfbbcc579e3c4ec0bb2d4a941764ad

[ "CC0-1.0" ]

null

Problems/P0010 - Soma de primos.py

clasenback/EulerProject

775d9774fcdfbbcc579e3c4ec0bb2d4a941764ad

[ "CC0-1.0" ]

null

Problems/P0010 - Soma de primos.py

clasenback/EulerProject

775d9774fcdfbbcc579e3c4ec0bb2d4a941764ad

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- """ Created on Sun Mar 7 17:11:12 2021 @author: User SUMMATION OF PRIMES The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17. Find the sum of all the primes below two million. 21min19s to find. """ from datetime import datetime as date def nextPrime(n, primes): is...

26.888889

82

0.539027

290

2,178

4.041379

0.451724

0.029863

0.013652

0.006826

0.049488

0

0.045706

0.337006

2,178

80

83

27.225

0.765928

0.192837

0

0.16

0

0.179024

0.031947

0

1

0.02

false

0

0.02

0

0.06

0.18

0

null

0

null

0

1

0

e4348a8c3eadb9042a4b4b0ebb7cd499d99a7b46

1,124

py

Python

l5kit/l5kit/tests/rasterization/render_context_test.py

cdicle-motional/l5kit

4dc4ee5391479bb71f0b373f39c316f9eef5a961

[ "Apache-2.0" ]

1

2021-12-04T17:48:53.000Z

l5kit/l5kit/tests/rasterization/render_context_test.py

cdicle-motional/l5kit

4dc4ee5391479bb71f0b373f39c316f9eef5a961

[ "Apache-2.0" ]

null

l5kit/l5kit/tests/rasterization/render_context_test.py

cdicle-motional/l5kit

4dc4ee5391479bb71f0b373f39c316f9eef5a961

[ "Apache-2.0" ]

1

2021-11-19T08:13:46.000Z

import numpy as np import pytest from l5kit.geometry import transform_points from l5kit.rasterization.render_context import RenderContext @pytest.mark.parametrize("set_origin_to_bottom", [False, True]) def test_transform_points_to_raster(set_origin_to_bottom: bool) -> None: image_shape_px = np.asarray((200, 200)...

35.125

77

0.715302

168

1,124

4.422619

0.375

0.060565

0.074024

0.114401

0.080754

0

0.065032

0.16548

1,124

31

78

36.258065

0.727079

0

0.017794

0

0.041667

1

0.041667

false

0

0.166667

0

0.208333

0

null

0

null

0

1

0

e434cb20e1bb4b89d1f4687abbe31af32ff3e3b8

1,528

py

Python

plugin/fcitx.py

bigshans/fcitx.vim

228a51c6c95997439feddff6c38d62ce014e6d59

[ "MIT" ]

null

plugin/fcitx.py

bigshans/fcitx.vim

228a51c6c95997439feddff6c38d62ce014e6d59

[ "MIT" ]

null

plugin/fcitx.py

bigshans/fcitx.vim

228a51c6c95997439feddff6c38d62ce014e6d59

[ "MIT" ]

null

import vim import functools import dbus class FcitxComm(): def __init__(self): bus = dbus.SessionBus() obj = bus.get_object('org.fcitx.Fcitx5', '/controller') self.fcitx = dbus.Interface(obj, dbus_interface='org.fcitx.Fcitx.Controller1') def status(self): return self.fcitx.State() == 2 def act...

25.466667

106

0.656414

205

1,528

4.765854

0.35122

0.061412

0.036847

0.058342

0.249744

0.200614

0.14739

0.067554

0

0.011429

0.198298

1,528

59

107

25.898305

0.786122

0

0.24

0

0.254581

0.085733

0

1

0.16

false

0

0.06

0.02

0.34

0

null

0

null

0

1

0

e43577db4ce37b9708732914de0c5a01c24639dc

311

py

Python

ctf/post.py

ntdgy/python_study

c3511846a89ea72418937de4cc3edf1595a46ec5

[ "MIT" ]

null

ctf/post.py

ntdgy/python_study

c3511846a89ea72418937de4cc3edf1595a46ec5

[ "MIT" ]

null

ctf/post.py

ntdgy/python_study

c3511846a89ea72418937de4cc3edf1595a46ec5

[ "MIT" ]

null

import requests def post(): url1 = "http://165.227.106.113/post.php" headers1 = { 'Host': '165.227.106.113' } data = { 'username': 'admin', 'password': '71urlkufpsdnlkadsf' } r1 = requests.post(url=url1, data=data, headers=headers1) print(r1.text) post()

17.277778

61

0.559486

36

311

4.833333

0.638889

0.068966

0.103448

0.137931

0

0.140969

0.270096

311

17

62

18.294118

0.625551

0

0.286174

0

1

0.076923

false

0.076923

0

0.153846

0.076923

0

null

0

null

0

1

0

1

e435bc6759728f66c9ba58ab0f9f30b4d9e6d31b

828

py

Python

avioclient/controller.py

HermenegildoK/AvioClient

9cad3a89bbf10d7212561cf15b3ad453060c9434

[ "MIT" ]

null

avioclient/controller.py

HermenegildoK/AvioClient

9cad3a89bbf10d7212561cf15b3ad453060c9434

[ "MIT" ]

null

avioclient/controller.py

HermenegildoK/AvioClient

9cad3a89bbf10d7212561cf15b3ad453060c9434

[ "MIT" ]

null

# -*- coding: utf-8 -*- from avioclient.send_data import SendControls from avioclient import config def send_data(): data_sender = SendControls(config.SERVER_URL) connections_done = 0 while True: connections_done += 1 print( data_sender.get_data( config.GET_ENDP...

23.657143

50

0.48913

71

828

5.338028

0.507042

0.197889

0.079156

0.137203

0.216359

0

0.019231

0.434783

828

34

51

24.352941

0.790598

0.025362

0

0.137931

0

0.032298

0

1

0.034483

false

0

0.068966

0

0.103448

0.068966

0

null

0

null

0

1

0

e43608fd33081461199e20cc093779ca67fd8543

132

py

Python

pythonExercicios/ex014.py

Yhago-Carvalho/CursoPython

343ccabb1a61e16c6078de9672c78c56deed2589

[ "MIT" ]

null

pythonExercicios/ex014.py

Yhago-Carvalho/CursoPython

343ccabb1a61e16c6078de9672c78c56deed2589

[ "MIT" ]

null

pythonExercicios/ex014.py

Yhago-Carvalho/CursoPython

343ccabb1a61e16c6078de9672c78c56deed2589

[ "MIT" ]

null

c = float(input('Digite a temperatura em Ceusius: ')) f = (9*c + 160)/5 print(f'A temperatura de {c:.1f}ºC corresponde a {f:.1f}ºF')

44

60

0.659091

26

132

3.346154

0.692308

0.275862

0

0.061947

0.143939

132

3

60

44

0.707965

0

0.62406

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

1

0

null

0

4

e436ff03150d44e0196337e442c791322d057adb

95

py

Python

python/p287ex5.py

ThePeeps191/dmoj-solutions

7137e945f3f595c481ad4d29e1dc3a77d8b26e55

[ "MIT" ]

1

2022-01-23T16:02:14.000Z

python/p287ex5.py

ThePeeps191/dmoj-solutions

7137e945f3f595c481ad4d29e1dc3a77d8b26e55

[ "MIT" ]

5

2022-01-23T00:16:49.000Z

2022-01-30T04:37:45.000Z

python/p287ex5.py

ThePeeps191/dmoj-solutions

7137e945f3f595c481ad4d29e1dc3a77d8b26e55

[ "MIT" ]

1

2022-01-23T00:03:47.000Z

# not yet finished for _ in range(int(input())):print(len(list(set(input().replace("-", "")))))

47.5

76

0.631579

14

95

4.214286

0.928571

0

0.084211

95

2

76

47.5

0.678161

0.168421

0

0.012821

0

1

0

false

0

1

0

null

0

1

0

null

0

1

0

3

e43c4d5552c855523479c4f6f4237cbc56d53955

906

py

Python

tests/test_fitsutils.py

lsst-dm/despyfitsutils

7fb96869077712eb20a1cb0f5c132e1cc85424ec

[ "NCSA" ]

null

tests/test_fitsutils.py

lsst-dm/despyfitsutils

7fb96869077712eb20a1cb0f5c132e1cc85424ec

[ "NCSA" ]

null

tests/test_fitsutils.py

lsst-dm/despyfitsutils

7fb96869077712eb20a1cb0f5c132e1cc85424ec

[ "NCSA" ]

null

import os import unittest import despyfitsutils.fitsutils as utils TESTDIR = os.path.dirname(__file__) class MefTest(unittest.TestCase): """Tests for a MEF object. """ def setUp(self): inputs = [os.path.join(TESTDIR, 'data/input.fits.fz')] output = os.path.join(TESTDIR, 'data/output.fit...

25.885714

72

0.611479

111

906

4.918919

0.54955

0.076923

0.03663

0.062271

0.076923

0

0.00152

0.273731

906

34

73

26.647059

0.828267

0.153422

0

0.048684

0

0.095238

1

0.190476

false

0.047619

0.142857

0

0.380952

0

null

0

null

0

1

0

e43dacaa5bafcd52f175484e3b1f257816fb14b1

4,047

py

Python

applications/MensajeriaMasiva/models/db.py

chitohugo/MassiveSMS

05b528de146498531c967aff1ee4fe72720febb3

[ "BSD-3-Clause" ]

null

applications/MensajeriaMasiva/models/db.py

chitohugo/MassiveSMS

05b528de146498531c967aff1ee4fe72720febb3

[ "BSD-3-Clause" ]

null

applications/MensajeriaMasiva/models/db.py

chitohugo/MassiveSMS

05b528de146498531c967aff1ee4fe72720febb3

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from time import gmtime, strftime from gluon.custom_import import track_changes track_changes(True) from gluon import current from pydal import * import sys reload(sys) sys.setdefaultencoding('utf-8') if request.global_settings.web2py_version < "2.14.1": raise HTTP...

45.988636

165

0.560909

420

4,047

5.280952

0.354762

0.059513

0.059964

0.072588

0.306132

0.288097

0.260144

0.223625

0

0.010264

0.205584

4,047

87

166

46.517241

0.679627

0.190511

0

0.155172

0

0.180564

0.013489

0

1

0

false

0.017241

0.12069

0

0.12069

0

null

0

null

0

1

0

e43dfd916520e80acf562c6592c0e2124190ae44

2,066

py

Python

dibs/src/dibs_link.py

emin63/dibs

419b2fad041aee40647429d3c1faac52c92c25a3

[ "MIT" ]

null

dibs/src/dibs_link.py

emin63/dibs

419b2fad041aee40647429d3c1faac52c92c25a3

[ "MIT" ]

null

dibs/src/dibs_link.py

emin63/dibs

419b2fad041aee40647429d3c1faac52c92c25a3

[ "MIT" ]

null

import os if (os.name == 'nt' or os.name == 'dos'): try: from win32com.shell import shell import pythoncom except Exception, e: print 'WARNING: Received exception ' + `e` + ' in doing import.' print 'WARNING: Unable to import win32com.shell.shell, pythoncom.' ...

34.433333

80

0.57696

204

2,066

5.745098

0.401961

0.037543

0.066553

0.039249

0.213311

0.134812

0.061433

0

0.010226

0.337367

2,066

59

81

35.016949

0.845873

0.036302

0

0.354167

0

0.120394

0.010898

0

null

0

0.145833

null

0.0625

0

null

0

null

0

1

0

1

e43f5553851f44ad5911378e9d31bfdce168b90d

1,207

py

Python

rfid/eggplant/pigeon/migrations/0003_auto_20160328_0809.py

psiyan/rfid

401a093958ffafdcd10259cc9e19b7bd9f0c0e8c

[ "Apache-2.0" ]

null

rfid/eggplant/pigeon/migrations/0003_auto_20160328_0809.py

psiyan/rfid

401a093958ffafdcd10259cc9e19b7bd9f0c0e8c

[ "Apache-2.0" ]

null

rfid/eggplant/pigeon/migrations/0003_auto_20160328_0809.py

psiyan/rfid

401a093958ffafdcd10259cc9e19b7bd9f0c0e8c

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.2 on 2016-03-28 08:09 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pigeon', '0002_auto_20160327_0723'), ] operations = [ migrations.AlterField(...

29.439024

93

0.584093

119

1,207

5.739496

0.487395

0.146413

0.183016

0.212299

0.493411

0.408492

0.122987

0

0.049296

0.294118

1,207

40

94

30.175

0.752347

0.05551

0

0.454545

1

0

0.119613

0.020229

0

1

0

false

0

0.060606

0

0.151515

0

null

0

1

0

1

0

null

0

3

e43fd711dcd86e63949520216ee91e975352e431

10,839

py

Python

esp8266/main.py

0xSebin/SwimTime.github.io

e2d997464d1f4a36783638c81307a775cdfa7fcd

[ "MIT" ]

1

2021-03-28T16:24:23.000Z

esp8266/main.py

5ebin-thomas/SwimTime.github.io

e2d997464d1f4a36783638c81307a775cdfa7fcd

[ "MIT" ]

null

esp8266/main.py

5ebin-thomas/SwimTime.github.io

e2d997464d1f4a36783638c81307a775cdfa7fcd

[ "MIT" ]

2

2018-02-15T17:27:34.000Z

2019-11-20T10:00:43.000Z

""" Group - SwimTime - Swim your way to success """ import ads1x15 import network import time import math import machine from umqtt.simple import MQTTClient import micropython from micropython import const from machine import Pin """ Define constant values """ run = False lapnr = 3 #default lap number temp = ...

28.448819

110

0.658456

1,607

10,839

4.277536

0.194151

0.036078

0.054117

0.024731

0.628891

0.608816

0.604888

0

0.035985

0.24624

10,839

381

111

28.448819

0.805386

0.203617

0

0.601626

0

0.149082

0.006482

0

0.00144

0

1

0.028455

false

0.012195

0.036585

0

0.069106

0.03252

0

null

0

1

0

null

0

1

e44176bdde09e0e534875279d12d7f2e7e878bfb

40,102

py

Python

pyboto3/workdocs.py

thecraftman/pyboto3

653a0db2b00b06708334431da8f169d1f7c7734f

[ "MIT" ]

null

pyboto3/workdocs.py

thecraftman/pyboto3

653a0db2b00b06708334431da8f169d1f7c7734f

[ "MIT" ]

null

pyboto3/workdocs.py

thecraftman/pyboto3

653a0db2b00b06708334431da8f169d1f7c7734f

[ "MIT" ]

null

''' The MIT License (MIT) Copyright (c) 2016 WavyCloud Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, p...

29.143895

310

0.573039

3,993

40,102

5.72026

0.109692

0.040935

0.023904

0.025743

0.664069

0.617924

0.587978

0.574843

0.550983

0.50834

0

0.012775

0.328512

40,102

1,375

311

29.165091

0.83545

0.808588

0

0.5

0

1

0.5

false

0.515152

0

0.5

0

null

0

1

0

null

0

1

0

1

0

3

e4423151d9e155eac596c2c27348cae0215b843a

983

py

Python

binding/python/ddls/feeder/feeder.py

huzelin/ddls

3333a669c59ce2e525945f814a54784dafc6191b

[ "MIT" ]

3

2019-01-03T07:34:01.000Z

2020-02-13T19:53:35.000Z

binding/python/ddls/feeder/feeder.py

huzelin/ddls

3333a669c59ce2e525945f814a54784dafc6191b

[ "MIT" ]

null

binding/python/ddls/feeder/feeder.py

huzelin/ddls

3333a669c59ce2e525945f814a54784dafc6191b

[ "MIT" ]

1

2020-05-06T11:08:07.000Z

""" Feeder for batch production""" from __future__ import absolute_import import ctypes from ddls.base import check_call, LIB, c_str, c_array from ddls.feeder.batch_iterator import BatchIterator class Feeder(object): """ The feeder """ def __init__(self): """ create a new Tensor instance "...

27.305556

84

0.580875

111

983

4.900901

0.54955

0.066176

0.088235

0

0.001508

0.325534

983

35

85

28.085714

0.819005

0.223805

0

1

0.235294

false

0.058824

0.235294

0

0.588235

0

null

0

null

0

1

0

1

0

1

0

3

e44339ec7d8d98173878c5ddc15f39e511c628ec

258

py

Python

tests/test_example.py

akoul1/mvlearn

177d391bb12c6e94335720d9af3608bd719d8be1

[ "Apache-2.0" ]

null

tests/test_example.py

akoul1/mvlearn

177d391bb12c6e94335720d9af3608bd719d8be1

[ "Apache-2.0" ]

null

tests/test_example.py

akoul1/mvlearn

177d391bb12c6e94335720d9af3608bd719d8be1

[ "Apache-2.0" ]

null

import pytest from mvlearn.example.example import example_function def test_example_function(): """ Test that example function returns correct value. """ assert example_function() == "param" assert example_function("hello") == "hello"

21.5

53

0.713178

29

258

6.172414

0.517241

0.418994

0.234637

0

0.186047

258

11

54

23.454545

0.852381

0.189922

0

0.07772

0

0.4

1

0.2

true

0

0.4

0

0.6

0

1

0

null

1

0

null

0

1

0

1

0

1

0

6

e443a35a02a890811a35899fe38cc7d3bb4c7d5c

2,155

py

Python

api/resources/resources.py

arkhn/fhirball-server

b4d1a1c29dfff5ba60bfbb6b291f6bdb6e6ccd6e

[ "Apache-2.0" ]

5

2018-12-21T13:20:12.000Z

2019-11-20T23:58:06.000Z

api/resources/resources.py

arkhn/fhir-ball-server

b4d1a1c29dfff5ba60bfbb6b291f6bdb6e6ccd6e

[ "Apache-2.0" ]

null

api/resources/resources.py

arkhn/fhir-ball-server

b4d1a1c29dfff5ba60bfbb6b291f6bdb6e6ccd6e

[ "Apache-2.0" ]

null

from flask_restful import Resource import requests from api.common.utils import file_response ENCODING = 'utf-8' SCHEMA_URL = 'http://127.0.0.1:8422' STORE_URL = 'http://127.0.0.1:8423' class FhirDatatypes(Resource): @staticmethod def get(): """Returns CSV list of available database schemas.""" ...

24.770115

87

0.624594

228

2,155

5.802632

0.236842

0.063492

0.104308

0.117914

0.773243

0.697657

0.620559

0.578987

0

0.013109

0.256613

2,155

86

88

25.05814

0.812734

0.152204

0

0.54717

0

0.087973

0.025056

0

1

0.113208

false

0

0.056604

0

0.396226

0

null

0

null

0

1

0

e445d667e0d2518eeb5e300fca8baeaa532b0501

427

py

Python

t_mongo.py

iloghyr/easy_python

b750f6817d54562b23630e2419bace19da0abf8b

[ "Apache-2.0" ]

1

2018-03-01T02:42:52.000Z

t_mongo.py

iloghyr/easy_python

b750f6817d54562b23630e2419bace19da0abf8b

[ "Apache-2.0" ]

null

t_mongo.py

iloghyr/easy_python

b750f6817d54562b23630e2419bace19da0abf8b

[ "Apache-2.0" ]

null

#!/bin/env python #coding: utf-8 import pymongo print [x for x in range(2)] con = pymongo.MongoClient("localhost", 27017) db = con.mars collection = db.users data = collection.find_one({"username":"hyr"}) print data data['age'] = 225 print collection.update({"_idd":data['_id']}, data) print collection.find_one({"u...

17.08

70

0.683841

63

427

4.555556

0.587302

0.146341

0.118467

0.174216

0.195122

0

0.02981

0.135831

427

24

71

17.791667

0.747967

0.257611

0

0.132686

0

null

0

0.1

null

0.4

0

null

0

1

0

null

0

1

0

2

e4466c3b9ecc29dbb105b55c4d10907897f3d25c

742

py

Python

ArtificialData/RhoAndBeta.py

AlfLobos/DSP

1e1073c6b0da562b0aea3dec9d62bc563a3b46f5

[ "CNRI-Python" ]

null

ArtificialData/RhoAndBeta.py

AlfLobos/DSP

1e1073c6b0da562b0aea3dec9d62bc563a3b46f5

[ "CNRI-Python" ]

null

ArtificialData/RhoAndBeta.py

AlfLobos/DSP

1e1073c6b0da562b0aea3dec9d62bc563a3b46f5

[ "CNRI-Python" ]

null

import numpy as np def CalcRhoAndBetaVectors(bid_vec, UB_bid, num_edges, index_Imps, adverPerImp, firstPrice): ## I will assume I want to evaluate the full vector. rhoBetaMat=np.zeros((num_edges,2)) for edge_num,impType in enumerate(index_Imps): rhoBetaMat[edge_num,:]=RhoBetaValue(bid_vec[edge_num]...

35.333333

91

0.677898

106

742

4.59434

0.433962

0.043121

0.024641

0

0.011725

0.195418

742

21

92

35.333333

0.80402

0.110512

0

1

0.1875

false

0

0.0625

0

0.5

0

null

0

null

0

1

0

e44985df33485739c9a738d44c1ed72af3c01cd0

3,208

py

Python

src/utils/greedy.py

vmgabriel/tabu-base

615c45e4d6b6fdb1c85c8fbaa316a1e6ce829fcd

[ "Apache-2.0" ]

null

src/utils/greedy.py

vmgabriel/tabu-base

615c45e4d6b6fdb1c85c8fbaa316a1e6ce829fcd

[ "Apache-2.0" ]

null

src/utils/greedy.py

vmgabriel/tabu-base

615c45e4d6b6fdb1c85c8fbaa316a1e6ce829fcd

[ "Apache-2.0" ]

null

""" Greedy Module Solution for Utils control """ # Libraries from typing import List from functools import reduce # Modules from src.utils.math import ( list_negative, invert_positions, evaluate_fo ) # Constants COMPARE_VALUE = 99999999 def worst_solution(distance_matrix: List[List[float]]) -> List[in...

25.870968

73

0.5798

378

3,208

4.714286

0.246032

0.06734

0.043771

0.049383

0.208193

0.138608

0.129068

0.102132

0.054994

0

0.017193

0.329177

3,208

123

74

26.081301

0.810874

0.163653

0

0.120482

0

1

0.060241

false

0

0.036145

0

0.156627

0

null

0

null

0

1

0

e45010e55211f1d8b353af0fb64ccf62757ae1c3

5,649

py

Python

codes/models/modules/Inv_arch.py

lin-zhao-resoLve/Symmetric-Enhancement

11c1a662020582d1333d11cf5f9c99556ec0f427

[ "Apache-2.0" ]

14

2021-09-30T07:05:04.000Z

2022-03-31T08:22:39.000Z

codes/models/modules/Inv_arch.py

lin-zhao-resoLve/Symmetric-Enhancement

11c1a662020582d1333d11cf5f9c99556ec0f427

[ "Apache-2.0" ]

3

2021-11-09T06:52:13.000Z

2021-11-20T08:00:46.000Z

codes/models/modules/Inv_arch.py

lin-zhao-resoLve/Symmetric-Enhancement

11c1a662020582d1333d11cf5f9c99556ec0f427

[ "Apache-2.0" ]

null

import math import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from models.modules.model.vgg16 import Vgg16 import os vgg = Vgg16() vgg.load_state_dict(torch.load(os.path.join(os.path.abspath('.'), 'models/modules/model/', 'vgg16.weight'))) params = list(vgg.named_parameters()) encodi...

36.211538

108

0.615861

761

5,649

4.388962

0.156373

0.057485

0.040419

0.588922

0.530539

0.512575

0.482036

0.417964

0.387425

0

0.034858

0.26872

5,649

155

109

36.445161

0.773663

0.127456

0

0.508929

0

0.006923

0.004276

0

1

0.098214

false

0

0.0625

0.017857

0.285714

0

null

0

null

0

1

0

e450e0a78fcbebd70da772f87d262f552594b525

56

py

Python

FrontRunner.py

mmaist/FrontRunner

05095421b69a0a5ccf4ef53ae3dc35b8e8b926b7

[ "MIT" ]

1

2021-02-18T10:41:36.000Z

FrontRunner.py

mmaist/FrontRunner

05095421b69a0a5ccf4ef53ae3dc35b8e8b926b7

[ "MIT" ]

null

FrontRunner.py

mmaist/FrontRunner

05095421b69a0a5ccf4ef53ae3dc35b8e8b926b7

[ "MIT" ]

null

import time import random import json import requests

8

15

0.821429

8

56

5.75

0.625

0

0.178571

56

6

16

9.333333

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e4520356b6e60cb7ea00f5353a2466e715bcd995

1,642

py

Python

py_algo/dynamic_programming/introduction/equal_array.py

Sk0uF/Algorithms

236cc5b056ce2637d5d947c5fc1e3367cde886bf

[ "MIT" ]

1

2021-07-05T15:39:04.000Z

py_algo/dynamic_programming/introduction/equal_array.py

Sk0uF/Algorithms

236cc5b056ce2637d5d947c5fc1e3367cde886bf

[ "MIT" ]

null

py_algo/dynamic_programming/introduction/equal_array.py

Sk0uF/Algorithms

236cc5b056ce2637d5d947c5fc1e3367cde886bf

[ "MIT" ]

1

2021-09-02T21:31:34.000Z

""" Codemonk link: https://www.hackerearth.com/practice/algorithms/dynamic-programming/introduction-to-dynamic-programming-1/practice-problems/algorithm/equal-array-84cf6c5f/ You are given an array A of size N. Find the minimum non negative number X such that there exists an index j that when you can replace Aj by Aj+...

30.407407

170

0.658343

273

1,642

3.915751

0.428571

0.12348

0.067353

0.02058

0.071094

0

0.022508

0.242387

1,642

53

171

30.981132

0.836817

0.483557

0

0.008942

0

1

0

false

0

0.136364

0

null

0

null

0

1

0

e4526af2d705bb3c47b1ba3a6b79144d1876aeeb

1,331

py

Python

model.py

mollikka/Penrose

6d9870f54e9810f7e2f4ea82bb619424785a65db

[ "MIT" ]

1

2019-07-17T02:46:45.000Z

model.py

mollikka/Penrose

6d9870f54e9810f7e2f4ea82bb619424785a65db

[ "MIT" ]

null

model.py

mollikka/Penrose

6d9870f54e9810f7e2f4ea82bb619424785a65db

[ "MIT" ]

null

from itertools import chain phi = 1.61803398875 class PenroseModel: def __init__(self, start_state): self.tiles = start_state self.history = [] def split(self): self.history.append(list(self.tiles)) self.tiles = list(chain(*[tile.split() for tile in self.tiles])) def desp...

22.183333

72

0.480841

205

1,331

3.04878

0.219512

0.08

0.0384

0.0448

0.2272

0

0.023364

0.356875

1,331

59

73

22.559322

0.706776

0

0.413043

0

1

0.173913

false

0

0.021739

0.326087

0

null

0

null

0

1

0

e45397111350f9273e2cc86843e6973c134d6e85

1,465

py

Python

src/tests/unittests/configuration_helper/adapters/test_keysight_e8267d_instrument_adapter.py

QuTech-Delft/qilib

a87892f8a9977ed338c36e8fb1e262b47449cf44

[ "MIT" ]

1

2019-02-20T16:56:30.000Z

src/tests/unittests/configuration_helper/adapters/test_keysight_e8267d_instrument_adapter.py

QuTech-Delft/qilib

a87892f8a9977ed338c36e8fb1e262b47449cf44

[ "MIT" ]

22

2019-02-16T06:10:55.000Z

2022-02-15T18:52:34.000Z

src/tests/unittests/configuration_helper/adapters/test_keysight_e8267d_instrument_adapter.py

QuTech-Delft/qilib

a87892f8a9977ed338c36e8fb1e262b47449cf44

[ "MIT" ]

2

2020-02-04T08:46:21.000Z

2020-10-18T16:31:58.000Z

import unittest from unittest.mock import call, patch, Mock, MagicMock from qilib.configuration_helper import InstrumentAdapterFactory class TestKeysightE8267DInstrumentAdapter(unittest.TestCase): def test_read_filter_out_val_mapping(self): with patch('qilib.configuration_helper.adapters.keysight_e8267d...

47.258065

112

0.661433

143

1,465

6.461538

0.384615

0.11039

0.099567

0.064935

0

0.026432

0.225256

1,465

30

113

48.833333

0.787665

0

0.264344

0.079918

0

0.2

1

0.04

false

0

0.12

0

0.2

0

null

0

null

0

1

0

e455b64eee36fc129ded8331905ce5976719baa2

1,364

py

Python

scripts/mint.py

tomazmm/artsyapes-contract

95b10e1c73aa4e0712ff8d5162271e84aec91810

[ "Apache-2.0" ]

null

scripts/mint.py

tomazmm/artsyapes-contract

95b10e1c73aa4e0712ff8d5162271e84aec91810

[ "Apache-2.0" ]

null

scripts/mint.py

tomazmm/artsyapes-contract

95b10e1c73aa4e0712ff8d5162271e84aec91810

[ "Apache-2.0" ]

null

import json import pprint import random from terra_sdk.core import AccAddress, Coins from terra_sdk.core.auth import StdFee from terra_sdk.core.broadcast import BlockTxBroadcastResult from scripts.deploy import owner, lt from terra_sdk.core.wasm import MsgExecuteContract def mint(contract_address: str): mint_ms...

28.416667

98

0.662023

173

1,364

4.99422

0.445087

0.074074

0.055556

0.074074

0

0.021657

0.221408

1,364

47

99

29.021277

0.791902

0.022727

0

0.18858

0.027799

0

1

0.083333

false

0

0.222222

0

0.305556

0.166667

0

null

0

null

0

1

0

e45875441dea1d18e8ce1f3858f85bde9799b868

281

py

Python

url_shortener/exceptions.py

alena-kono/simple-shortener

d1549b342e190ff70509ce5b442cb31376f2a07a

[ "MIT" ]

null

url_shortener/exceptions.py

alena-kono/simple-shortener

d1549b342e190ff70509ce5b442cb31376f2a07a

[ "MIT" ]

null

url_shortener/exceptions.py

alena-kono/simple-shortener

d1549b342e190ff70509ce5b442cb31376f2a07a

[ "MIT" ]

null

from core.exceptions import BaseProjectException class InvalidUrlError(BaseProjectException): """Exception raised when invalid url is passed.""" pass class MissingPrimaryKeyError(BaseProjectException): """Exception raised when primary key is missing.""" pass

20.071429

55

0.761566

27

281

7.925926

0.703704

0.271028

0.327103

0.364486

0

0.163701

281

13

56

21.615385

0.910638

0.320285

0

0.4

0

1

0

true

0.4

0.2

0

0.6

0

1

0

null

1

0

null

0

1

0

1

0

7

e4589a7ec39dfb446ef1fe4c8fd01bbb42b8704d

1,507

py

Python

enbios/processing/indicators/__init__.py

ENVIRO-Module/enbios

10e93df9a168627833eca6d04e4e2b864de8e8d9

[ "BSD-3-Clause" ]

2

2022-01-28T09:38:28.000Z

2022-01-28T09:38:32.000Z

enbios/processing/indicators/__init__.py

ENVIRO-Module/enbios

10e93df9a168627833eca6d04e4e2b864de8e8d9

[ "BSD-3-Clause" ]

1

2022-01-27T21:42:42.000Z

enbios/processing/indicators/__init__.py

ENVIRO-Module/enbios

10e93df9a168627833eca6d04e4e2b864de8e8d9

[ "BSD-3-Clause" ]

null

import math from nexinfosys.model_services import State materials = { "Aluminium", "Antimony", "Arsenic", "Baryte", "Beryllium", "Borates", "Cadmium", "Cerium", "Chromium", "Cobalt", "Copper", "Diatomite", "Dysprosium", "Europium", "Fluorspar", "Gadolini...

17.125

43

0.50564

153

1,507

4.915033

0.588235

0.053191

0.035904

0.018617

0.106383

0

0.007042

0.340411

1,507

87

44

17.321839

0.749497

0

0.074074

0

0.295289

0

1

0.024691

false

0

0.024691

0

0.08642

0

null

0

null

0

1

0

e45a47a7a23107da9b1e4e894dbe004e6d56eaf1

2,933

py

Python

Python Exercises/Exercise 8 - Functions/Functions- Decorators & Generators.py

mrankitgupta/PythonLessons

119efc58518c5b35c6647009c74ff96728f851fa

[ "MIT" ]

null

Python Exercises/Exercise 8 - Functions/Functions- Decorators & Generators.py

mrankitgupta/PythonLessons

119efc58518c5b35c6647009c74ff96728f851fa

[ "MIT" ]

null

Python Exercises/Exercise 8 - Functions/Functions- Decorators & Generators.py

mrankitgupta/PythonLessons

119efc58518c5b35c6647009c74ff96728f851fa

[ "MIT" ]

null

# defining a decorator def hello_decorator(func): # inner1 is a Wrapper function in which the argument is called inner function can access the outer local functions like in this case "func" def inner1(): print("Hello, this is before function execution") # calling the actual function now ins...

30.237113

144

0.691101

404

2,933

4.94802

0.299505

0.030015

0.036018

0.04002

0.062031

0.03902

0

0.011101

0.232185

2,933

96

145

30.552083

0.876554

0.455506

0

0.349206

0

0.137322

0

1

0.253968

false

0

0.031746

0.015873

0.412698

0.222222

0

null

0

null

0

1

0

1

e45a7bbe70e7b8614eb0c9109018644cf05fb490

24,654

py

Python

src/1-topicmodeling.py

sofieditmer/topic_modeling

edfff3c4d45c932562f796cc81e9ce9fe35f8e4b

[ "MIT" ]

null

src/1-topicmodeling.py

sofieditmer/topic_modeling

edfff3c4d45c932562f796cc81e9ce9fe35f8e4b

[ "MIT" ]

null

src/1-topicmodeling.py

sofieditmer/topic_modeling

edfff3c4d45c932562f796cc81e9ce9fe35f8e4b

[ "MIT" ]

null

#!/usr/bin/env python """ Info: This script performs topic modeling on the clean tweets by Donald Trump. The number of topics is estimated by computing coherence values for different number of topics, and an LDA model is constructed with the number of topics with the highest coherence value. Visualizations of the topic...

46.693182

402

0.626511

3,010

24,654

4.998339

0.19701

0.014357

0.020472

0.012762

0.235161

0.179129

0.140844

0.119375

0.099036

0.075773

0

0.008627

0.299465

24,654

528

403

46.693182

0.862486

0.360672

0

0.098291

0

0.025641

0.17481

0.004616

0

1

0.055556

false

0.025641

0.068376

0

0.15812

0.068376

0

null

0

null

0

1

0

e45a8dc57b1450e18797d47ff570959f3d7e2d31

15,086

py

Python

EEG_Lightning/dassl/data/datasets/ProcessDataBase_v1.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

23

2021-10-14T02:31:06.000Z

2022-01-25T16:26:44.000Z

EEG_Lightning/dassl/data/datasets/ProcessDataBase_v1.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

null

EEG_Lightning/dassl/data/datasets/ProcessDataBase_v1.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

1

2022-03-05T06:54:11.000Z

""" William DUong """ import os.path as osp import os import errno from .build import DATASET_REGISTRY from .base_dataset import Datum, DatasetBase,EEGDatum from scipy.io import loadmat import numpy as np from collections import defaultdict class ProcessDataBase(DatasetBase): dataset_dir = None file_name =...

45.032836

166

0.65173

1,963

15,086

4.67244

0.098828

0.028783

0.022242

0.027802

0.411252

0.322067

0.276276

0.26232

0.248583

0.234518

0

0.004439

0.253414

15,086

334

167

45.167665

0.809909

0.353507

0

0.108974

0

0.038194

0

1

0.089744

false

0

0.051282

0.012821

0.24359

0.025641

0

null

0

null

0

1

0

e45ad99677d6577af2671852ef4f62636067fd15

9,321

py

Python

pywolf3d/level_editor/app.py

jammers-ach/pywolf3d

3e305d7bdb9aa4f38ae5cf460ed22c54efe8980c

[ "MIT" ]

null

pywolf3d/level_editor/app.py

jammers-ach/pywolf3d

3e305d7bdb9aa4f38ae5cf460ed22c54efe8980c

[ "MIT" ]

null

pywolf3d/level_editor/app.py

jammers-ach/pywolf3d

3e305d7bdb9aa4f38ae5cf460ed22c54efe8980c

[ "MIT" ]

null

import argparse import json from ursina import load_texture, Ursina, Entity, color, camera, Quad, mouse, time, window, invoke, WindowPanel, \ Text, InputField, Space, scene, Button, Draggable, Tooltip, Scrollable from pywolf3d.games.wolf3d import WALL_DEFS, WallDef, OBJECT_DEFS Z_GRID = 0 Z_OBJECT = 2 Z_WALL = 3...

29.590476

122

0.55037

1,190

9,321

4.137815

0.158824

0.026401

0.020309

0.028432

0.342201

0.248375

0.195167

0.164703

0.15658

0

0.010718

0.329364

9,321

314

123

29.684713

0.776996

0.00397

0

0.177686

0

0.055615

0

1

0.095041

false

0

0.016529

0

0.14876

0.020661

0

null

0

null

0

1

0

e45ba78572ce87d65bc9fa965f1a8af3685baf94

3,404

py

Python

code/data_mgmt.py

TomDonoghue/EEGparam

a3e747094617479122900688643fa396ecbf8bab

[ "MIT" ]

8

2021-08-17T05:22:40.000Z

2022-03-23T02:03:48.000Z

code/data_mgmt.py

TomDonoghue/EEGparam

a3e747094617479122900688643fa396ecbf8bab

[ "MIT" ]

1

2020-12-09T13:22:03.000Z

2021-01-27T01:56:09.000Z

code/data_mgmt.py

TomDonoghue/EEGparam

a3e747094617479122900688643fa396ecbf8bab

[ "MIT" ]

4

2021-06-20T14:44:38.000Z

2021-12-11T11:21:26.000Z

"""Functions for loading and data management for EEG-FOOOF.""" from os.path import join as pjoin import numpy as np from fooof import FOOOFGroup from fooof.analysis import get_band_peak_fg from settings import BANDS, YNG_INDS, OLD_INDS, N_LOADS, N_SUBJS, N_TIMES ####################################################...

35.831579

99

0.623384

472

3,404

4.28178

0.216102

0.047501

0.035626

0.549233

0.502227

0.445324

0.369619

0.3429

0

0.006917

0.193008

3,404

94

100

36.212766

0.728795

0.205934

0

0.219512

0

0.071166

0

1

0.121951

false

0

0.121951

0

0.365854

0

null

0

null

0

1

0

e45c0f05cdc7fe7a2e45a2f57230877bc9ba6968

413

py

Python

match_shapes.py

KyojiOsada/Python-Library

b06e50454c56c84c2abb96e6f68d35117ea5f4b5

[ "Apache-2.0" ]

null

match_shapes.py

KyojiOsada/Python-Library

b06e50454c56c84c2abb96e6f68d35117ea5f4b5

[ "Apache-2.0" ]

null

match_shapes.py

KyojiOsada/Python-Library

b06e50454c56c84c2abb96e6f68d35117ea5f4b5

[ "Apache-2.0" ]

null

import sys import cv2 import numpy as np img1 = cv2.imread('source1.jpg',0) img2 = cv2.imread('source2.jpg',0) ret, thresh = cv2.threshold(img1, 127, 255,0) ret, thresh2 = cv2.threshold(img2, 127, 255,0) contours,hierarchy,a = cv2.findContours(thresh,2,1) cnt1 = contours[0] contours,hierarchy,a = cv2.findContours(th...

20.65

52

0.72155

70

413

4.257143

0.428571

0.040268

0.04698

0.127517

0.228188

0

0.123288

0.116223

413

19

53

21.736842

0.693151

0

0.053269

0

1

0

false

0

0.214286

0

0.214286

0.071429

0

null

0

null

0

1

0

e45c3482ede83aa24d104869dacc8d42f601273f

25,556

py

Python

SlicerModules/SegmentConnectedParzenPDF/SegmentConnectedParzenPDF.py

jcfr/TubeTK

3791790e206b5627a35c46f86eeb9671c8d4190f

[ "Apache-2.0" ]

1

2019-07-19T09:27:37.000Z

SlicerModules/SegmentConnectedParzenPDF/SegmentConnectedParzenPDF.py

jcfr/TubeTK

3791790e206b5627a35c46f86eeb9671c8d4190f

[ "Apache-2.0" ]

null

SlicerModules/SegmentConnectedParzenPDF/SegmentConnectedParzenPDF.py

jcfr/TubeTK

3791790e206b5627a35c46f86eeb9671c8d4190f

[ "Apache-2.0" ]

1

2019-07-19T09:28:56.000Z

import os from __main__ import vtk, qt, ctk, slicer import EditorLib from EditorLib.EditOptions import HelpButton from EditorLib.EditOptions import EditOptions from EditorLib import EditUtil from EditorLib import LabelEffect class InteractiveConnectedComponentsUsingParzenPDFsOptions(EditorLib.LabelEffectOptions): "...

44.138169

292

0.755204

2,326

25,556

8.27687

0.236028

0.017453

0.01418

0.015583

0.073343

0.057345

0.03797

0.033036

0.012466

0.003013

0

0.005943

0.157223

25,556

578

293

44.214533

0.887919

0.136211

0

0.083117

0

0.002597

0.169865

0.04121

0

0.000548

0.00173

0

1

0.075325

false

0.012987

0.018182

0.007792

0.132468

0.002597

0

null

0

null

0

1

0

e45d9ac1d7f7347063075b259a658688aa945eb7

415

py

Python

category/urls.py

amin-bahiraei-75/shop_back

afcc5907fe33de2db1615f14df71443d1a35bbd0

[ "MIT" ]

1

2021-12-24T15:20:37.000Z

category/urls.py

amin-bahiraei-75/shop_back

afcc5907fe33de2db1615f14df71443d1a35bbd0

[ "MIT" ]

null

category/urls.py

amin-bahiraei-75/shop_back

afcc5907fe33de2db1615f14df71443d1a35bbd0

[ "MIT" ]

null

from django.urls import path from category.views import List,Detail,Create,Delete,Update,Search,All urlpatterns = [ path('all',All.as_view()), path('list/<int:pk>',List.as_view()), path('search/<str:pk>',Search.as_view()), path('detail/<int:pk>',Detail.as_view()), path('create', Create.as_view()), ...

34.583333

70

0.653012

62

415

4.258065

0.322581

0.159091

0.227273

0

0.120482

415

12

71

34.583333

0.723288

0

0.197115

0

1

0

false

0

0.181818

0

0.181818

0

null

0

1

0

null

0

1

e460d64b915b9a1607000858e70b226926b3124a

3,488

py

Python

led_motor_switch.py

scarmel/iot-demo

02c6d810098720803196bf32ee1780925011f57c

[ "Apache-2.0" ]

null

led_motor_switch.py

scarmel/iot-demo

02c6d810098720803196bf32ee1780925011f57c

[ "Apache-2.0" ]

null

led_motor_switch.py

scarmel/iot-demo

02c6d810098720803196bf32ee1780925011f57c

[ "Apache-2.0" ]

null

# ------------------------------------------ # Description: This python script will update AWS Thing Shadow for a Device/Thing # ------------------------------------------ # Import package import paho.mqtt.client as mqtt import ssl, time, sys # ======================================================= # Set Following V...

32.90566

119

0.65539

466

3,488

4.7103

0.313305

0.065604

0.036446

0.03098

0.212301

0.11344

0.089749

0.041913

0

0.007493

0.158257

3,488

105

120

33.219048

0.740123

0.286697

0

0.070175

0

0.266992

0.037037

0

null

0

0.035088

null

0.210526

0

null

0

null

0

1

0

1

e462bb80e8e5cfe48f10d58ffcdefb6c7a4fc2ec

680

py

Python

test.py

jsayles/LPD8806

6f13b65ae92f3bd903df684459964b8f5f621942

[ "MIT" ]

null

test.py

jsayles/LPD8806

6f13b65ae92f3bd903df684459964b8f5f621942

[ "MIT" ]

null

test.py

jsayles/LPD8806

6f13b65ae92f3bd903df684459964b8f5f621942

[ "MIT" ]

null

import time from lightpi.hardware import strip, string1, string2 DELAY_SEC = 0.3 # Test the RGB Strip strip.red() time.sleep(DELAY_SEC) strip.green() time.sleep(DELAY_SEC) strip.blue() time.sleep(DELAY_SEC) strip.off() # Test the LED Strings string1.on() time.sleep(DELAY_SEC) string1.off() time.sleep(DELAY_SEC) st...

17.435897

80

0.535294

79

680

4.518987

0.367089

0.156863

0.235294

0.285714

0.378151

0

0.020067

0.120588

680

38

81

17.894737

0.576923

0.079412

0

0.64

0

1

0.08

false

0

0.08

0

0.16

0

null

0

1

0

null

0

2

e4634c0a0adb3cc0d16bbbb61f40f718de94ef2b

3,141

py

Python

wind_direction.py

simseve/weatherstation

68196a032a2cd39062f3924ce6d386f5f54af393

[ "MIT" ]

null

wind_direction.py

simseve/weatherstation

68196a032a2cd39062f3924ce6d386f5f54af393

[ "MIT" ]

null

wind_direction.py

simseve/weatherstation

68196a032a2cd39062f3924ce6d386f5f54af393

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # wind_direction.py # # Copyright 2020 <Simone Severini> # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the Licen...

27.313043

71

0.561605

403

3,141

4.349876

0.478908

0.112949

0.022248

0.032516

0.046777

0.031945

0

0.114217

0.339382

3,141

114

72

27.552632

0.730602

0.286533

0

0.022142

0

1

0.03125

false

0

0.078125

0

0.140625

0

null

0

null

0

1

0

e4639c8948f8a93b0256a4c34b5d407b8adc42bc

3,875

py

Python

oswin_tempest_plugin/tests/_mixins/migrate.py

openstack/oswin-tempest-plugin

59e6a14d01dda304c7d11fda1d35198f25799d6c

[ "Apache-2.0" ]

6

2017-10-31T10:40:24.000Z

2019-01-28T22:08:15.000Z

oswin_tempest_plugin/tests/_mixins/migrate.py

openstack/oswin-tempest-plugin

59e6a14d01dda304c7d11fda1d35198f25799d6c

[ "Apache-2.0" ]

null

oswin_tempest_plugin/tests/_mixins/migrate.py

openstack/oswin-tempest-plugin

59e6a14d01dda304c7d11fda1d35198f25799d6c

[ "Apache-2.0" ]

null

# Copyright 2017 Cloudbase Solutions SRL # 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 r...

35.87963

79

0.659613

462

3,875

5.298701

0.37013

0.044935

0.02451

0.026961

0.288399

0.245098

0.183824

0.09232

0.049837

0

0.00455

0.26271

3,875

107

80

36.214953

0.852293

0.303484

0

0.150943

0

0.085431

0

0.009346

0.037736

1

0.075472

false

0

0.056604

0

0.188679

0

null

0

null

0

1

0

e466a39aa7123e6924bb036424ddce439a785489

2,572

py

Python

articulation_structure/nodes/process_bags.py

tum-vision/articulation

3bb714fcde14b8d47977bd3b3da2c2cd13ebe685

[ "BSD-2-Clause" ]

3

2017-03-15T16:50:05.000Z

2021-02-28T05:27:24.000Z

articulation_structure/nodes/process_bags.py

AbdelrahmanElsaid/articulation

3bb714fcde14b8d47977bd3b3da2c2cd13ebe685

[ "BSD-2-Clause" ]

null

articulation_structure/nodes/process_bags.py

AbdelrahmanElsaid/articulation

3bb714fcde14b8d47977bd3b3da2c2cd13ebe685

[ "BSD-2-Clause" ]

7

2015-07-14T14:47:51.000Z

2018-04-02T16:22:23.000Z

#!/usr/bin/python import rospy import rosbag import time def callback(topic, msg): global current_time try: header = getattr(msg, "header") if header.stamp < current_time: print "received old message, skipping '%s'" % topic return except AttributeError: pass global result result[topic] = msg def w...

25.72

84

0.66563

387

2,572

4.276486

0.232558

0.108761

0.050755

0.054381

0.252568

0.132931

0.074924

0

0.013989

0.194012

2,572

99

85

25.979798

0.78437

0.079705

0

0.222222

0

0.077999

0

null

0.013889

0.041667

null

0.138889

0

null

0

null

0

1

0

1