xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

6c1ff08cd085c626e8f3f1328f189116ff83820d

4,650

py

Python

app/main.py

govdirectory/health-check-service

c32e1055e1c755fdb03e2786dc0a157697250421

[ "CC0-1.0" ]

1

2021-09-28T00:09:18.000Z

app/main.py

govdirectory/health-check-service

c32e1055e1c755fdb03e2786dc0a157697250421

[ "CC0-1.0" ]

null

app/main.py

govdirectory/health-check-service

c32e1055e1c755fdb03e2786dc0a157697250421

[ "CC0-1.0" ]

null

import requests from typing import List from fastapi import FastAPI, Path from pydantic import BaseModel, HttpUrl from fastapi.middleware.cors import CORSMiddleware cors_origins = [ 'https://www.govdirectory.org', 'https://www.wikidata.org', ] user_agent_external = 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; r...

29.807692

170

0.543871

494

4,650

5.006073

0.350202

0.058229

0.075617

0.064699

0.202992

0.182774

0

0.030546

0.303011

4,650

155

171

30

0.73249

0.017419

0

0.173913

0

0.007246

0.336837

0

1

0.007246

false

0

0.036232

0

0.101449

0

null

0

null

0

1

0

6c21574006d86d8b50934be4fe7a2c2e0d87d074

5,933

py

Python

src/szz/manipulate_sql_tables/add_depth_to_BTE_table.py

dSar-UVA/repoMiner

8f75074e388ff13419a0a37b4337c0cdcb459f74

[ "BSD-3-Clause" ]

9

2017-10-21T13:29:46.000Z

2022-01-10T23:49:54.000Z

src/szz/manipulate_sql_tables/add_depth_to_BTE_table.py

dSar-UVA/repoMiner

8f75074e388ff13419a0a37b4337c0cdcb459f74

[ "BSD-3-Clause" ]

3

2018-01-09T11:28:55.000Z

2019-01-20T08:45:18.000Z

src/szz/manipulate_sql_tables/add_depth_to_BTE_table.py

dSar-UVA/repoMiner

8f75074e388ff13419a0a37b4337c0cdcb459f74

[ "BSD-3-Clause" ]

1

2020-12-29T05:10:31.000Z

""" This script adds a specific column to the `bug_type_entropy_projectname_old` tables. The added column contains the nesting depth (>=0) of each line. """ import os, sys, psycopg2, ntpath, traceback, subprocess from pprint import pprint #-------------------------------------------------------------------------------...

40.917241

148

0.539019

696

5,933

4.268678

0.232759

0.081791

0.056883

0.062942

0.490744

0.396163

0.382026

0.33625

0.271962

0

0.005709

0.261925

5,933

144

149

41.201389

0.672756

0.199393

0

0.44898

0

0.020408

0.354259

0.037201

0

1

0.030612

false

0

0.020408

0

0.061224

0.132653

0

null

0

null

0

1

0

6c21d95c779b91777f1c1e4c2f9a294fa6bd8d6e

10,862

py

Python

tools/ProjectionTools/Lidar2RGB/lib/utils.py

ladt/SeeingThroughFog

c714a4c3e8f8e604494b1db6e9eef529b0326405

[ "MIT" ]

null

tools/ProjectionTools/Lidar2RGB/lib/utils.py

ladt/SeeingThroughFog

c714a4c3e8f8e604494b1db6e9eef529b0326405

[ "MIT" ]

null

tools/ProjectionTools/Lidar2RGB/lib/utils.py

ladt/SeeingThroughFog

c714a4c3e8f8e604494b1db6e9eef529b0326405

[ "MIT" ]

null

import matplotlib.pyplot as plt import numpy as np import cv2 import scipy.spatial from sklearn.linear_model import RANSACRegressor import os import sys import inspect currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) parentdir = os.path.dirname(currentdir) sys.path.insert(0, parent...

39.498182

147

0.612042

1,595

10,862

3.987461

0.201881

0.050157

0.032704

0.00566

0.194497

0.161321

0.114151

0.102516

0.059591

0.038365

0

0.048682

0.249217

10,862

274

148

39.642336

0.731208

0.194531

0

0.085714

0

0.003372

0

0.00365

0

1

0.062857

false

0

0.062857

0

0.194286

0.04

0

null

0

null

0

1

0

6c239288cab4c6c0e0a6b09c9cc9d94248d11f8f

20,757

py

Python

main.py

AniruddhaGawali/Hand_Cricket

71fcf5ffa49dbfcfdfceba9784d88c5adfd0fccb

[ "Apache-2.0" ]

1

2020-11-08T07:38:58.000Z

main.py

AniruddhaGawali/Hand_Cricket

71fcf5ffa49dbfcfdfceba9784d88c5adfd0fccb

[ "Apache-2.0" ]

null

main.py

AniruddhaGawali/Hand_Cricket

71fcf5ffa49dbfcfdfceba9784d88c5adfd0fccb

[ "Apache-2.0" ]

null

# ---------------------------------------------------------------ALL REQUIRD FILES------------------------------------------------------------- from tkinter import * import tkinter.ttk as ttk import tkinter.messagebox as msg import tkinter.filedialog as tf from ttkthemes import ThemedStyle from PIL import Image, Image...

36.803191

158

0.620321

2,870

20,757

4.280836

0.110801

0.02222

0.029057

0.04615

0.657985

0.598405

0.509035

0.42642

0.40827

0.395735

0

0.025789

0.191116

20,757

564

159

36.803191

0.705956

0.055788

0

0.468182

0

0.013636

0.184389

0.030783

0

1

0.043182

false

0.002273

0.015909

0

0.059091

0

null

0

null

0

1

0

6c26670f1bac191aee07007494c6fa726372a36b

11,451

py

Python

Game/game_functions.py

Gabriel-limadev/Alien-Invasion

1b8b1ad7dfe9cf5cd99ff0595eedf3eb78953eaf

[ "MIT" ]

3

2021-09-11T16:35:20.000Z

2021-09-25T02:42:04.000Z

Game/game_functions.py

Gabriel-limadev/Invasao-Alienigena

1b8b1ad7dfe9cf5cd99ff0595eedf3eb78953eaf

[ "MIT" ]

null

Game/game_functions.py

Gabriel-limadev/Invasao-Alienigena

1b8b1ad7dfe9cf5cd99ff0595eedf3eb78953eaf

[ "MIT" ]

1

2022-02-28T01:06:15.000Z

import sys #Fornece funções e variáveis para manipular partes do ambiente de tempo de execução do Python from time import sleep import pygame from settings import Settings from game_stats import GameStats from bullet import Bullet from alien import Alien def check_keydown_events(event, ai_settings, screen, stats, sb...

36.352381

117

0.687189

1,639

11,451

4.632093

0.18975

0.061907

0.065332

0.03754

0.458641

0.392782

0.333114

0.290701

0.258035

0.249473

0

0.003599

0.223561

11,451

314

118

36.468153

0.850298

0.296306

0

0.276471

0

0.007476

0.002914

0

0.003185

0

1

0.129412

false

0

0.041176

0

0.182353

0

null

0

null

0

1

0

6c2ea613a50a1e1e9624048d804bb8ed4e0017dd

3,276

py

Python

herbstluftwm/hl_panel_content.py

FAUSheppy/config

998e13f71a4b48c60f645470631cf937586be2fd

[ "Unlicense" ]

1

2019-05-07T13:03:10.000Z

herbstluftwm/hl_panel_content.py

FAUSheppy/config

998e13f71a4b48c60f645470631cf937586be2fd

[ "Unlicense" ]

null

herbstluftwm/hl_panel_content.py

FAUSheppy/config

998e13f71a4b48c60f645470631cf937586be2fd

[ "Unlicense" ]

null

#!/usr/bin/python3 import hl_utils from hl_constants import * import string import re from datetime import datetime def guthaben(): guthaben = '' if hl_utils.is_cip(): raw = "" with open(hl_utils.hlpath(PRINT_LOG)) as f: raw = f.read(); ...

31.2

100

0.501832

396

3,276

3.989899

0.290404

0.11962

0.068354

0.096835

0.420253

0.275949

0.146835

0.113924

0

0.017944

0.370574

3,276

104

101

31.5

0.748303

0.005189

0

0.355556

0

0.011111

0.074586

0.015654

0

1

0.111111

false

0

0.055556

0.011111

0.377778

0.011111

0

null

0

null

0

1

0

6c2eba18adaa6d56cede8b191f75d6ce31f0cf4f

1,368

py

Python

views.py

vigilcommunity/mega-project

09a44c76170c71ee4c1d206fb0942b72c65ff45f

[ "MIT" ]

null

views.py

vigilcommunity/mega-project

09a44c76170c71ee4c1d206fb0942b72c65ff45f

[ "MIT" ]

null

views.py

vigilcommunity/mega-project

09a44c76170c71ee4c1d206fb0942b72c65ff45f

[ "MIT" ]

null

import datetime from django.contrib import messages from django.contrib.auth import authenticate, login, logout from django.http import HttpResponse, HttpResponseRedirect from django.shortcuts import render from django.urls import reverse from vigil_ctf_app.EmailBackEnd import EmailBackEnd #Authentication views ONLY...

29.106383

120

0.710526

155

1,368

6.232258

0.380645

0.05176

0.059006

0.080745

0.082816

0

0.002681

0.182018

1,368

46

121

29.73913

0.86059

0.02193

0

0.151515

0

0.133234

0.038922

0

1

0.181818

false

0.030303

0.212121

0.090909

0.666667

0

null

0

null

0

1

0

6c2f5071a275540f672417776634a7f3cf12f94d

19,223

py

Python

graph-measures/features_algorithms/vertices/motifs.py

Unknown-Data/QGCN

e074ada31c13b6de6eabba2b2ebce90e88fdfdbf

[ "MIT" ]

3

2021-04-21T16:06:51.000Z

2022-03-31T12:09:01.000Z

graph-measures/features_algorithms/vertices/motifs.py

Unknown-Data/QGCN

e074ada31c13b6de6eabba2b2ebce90e88fdfdbf

[ "MIT" ]

1

2021-02-04T07:48:16.000Z

2021-02-24T23:01:41.000Z

graph-measures/features_algorithms/vertices/motifs.py

Unknown-Data/QGCN

e074ada31c13b6de6eabba2b2ebce90e88fdfdbf

[ "MIT" ]

null

import os import pickle from functools import partial from itertools import permutations, combinations import networkx as nx import numpy as np from bitstring import BitArray from collections import Counter try: from graph_measures.features_infra.feature_calculators import NodeFeatureCalculator, Featur...

41.78913

121

0.572179

2,314

19,223

4.497407

0.133535

0.026232

0.025944

0.013068

0.438263

0.352839

0.294417

0.232824

0.205054

0.190257

0

0.020746

0.33049

19,223

459

122

41.880174

0.787879

0.308173

0

0.306773

0

0.028864

0

0.002179

0.003984

1

0.087649

false

0.01992

0.043825

0.01992

0.195219

0.059761

0

null

0

null

0

1

0

6c31ccf0bc17c144c7bcad4490fb8229ffccbad2

4,954

py

Python

sigpy/mri/rf/sim.py

jonbmartin/sigpy-rf-staging

1be409a1ce0799574f1a979044b02fe21a19bf5d

[ "BSD-3-Clause" ]

null

sigpy/mri/rf/sim.py

jonbmartin/sigpy-rf-staging

1be409a1ce0799574f1a979044b02fe21a19bf5d

[ "BSD-3-Clause" ]

null

sigpy/mri/rf/sim.py

jonbmartin/sigpy-rf-staging

1be409a1ce0799574f1a979044b02fe21a19bf5d

[ "BSD-3-Clause" ]

null

"""RF Pulse Simulation Functions. """ from sigpy import backend __all__ = ['abrm', 'abrm_nd', 'abrm_hp'] def abrm(rf, x, balanced=False): r"""1D RF pulse simulation, with simultaneous RF + gradient rotations. Args: rf (array): rf waveform input. x (array): spatial locations. bala...

30.207317

79

0.489705

689

4,954

3.502177

0.219158

0.013262

0.016577

0.018649

0.668877

0.632408

0.58765

0.547037

0.524658

0

0.028371

0.366774

4,954

163

80

30.392638

0.740835

0.400484

0

0.415584

0

0.006519

0

1

0.038961

false

0

0.012987

0

0.090909

0

null

0

null

0

1

0

6c35a72377a5c784fe27610ba9ce572e4beeb277

1,171

py

Python

main.py

Yash7689/copy-data-from-1-txt-to-another

1ab88c89209088b04c2105c5db4342029a079219

[ "Apache-2.0" ]

null

main.py

Yash7689/copy-data-from-1-txt-to-another

1ab88c89209088b04c2105c5db4342029a079219

[ "Apache-2.0" ]

null

main.py

Yash7689/copy-data-from-1-txt-to-another

1ab88c89209088b04c2105c5db4342029a079219

[ "Apache-2.0" ]

null

# @Copyright [2021] [Yash Bajaj] import fileinput as fi # This module replaces the word <|SPACE|> with a new line (code line 18) def writer(): with open("c:/PycharmProjects/copy_data_from_1_file_to_another/input.txt", "w") as writer: data = input("Whatever you will write will be present in input.txt - ") ...

37.774194

123

0.681469

183

1,171

4.185792

0.393443

0.052219

0.078329

0.125326

0.29765

0

0.012821

0.200683

1,171

30

124

39.033333

0.805556

0.325363

0

0.408685

0.316731

0

1

0.157895

false

0

0.052632

0

0.210526

0.052632

0

null

0

null

0

1

0

6c3666e9b94187f8c2b912f96ab0492447c6ab94

16,981

py

Python

torchfurnace/engine.py

tianyu-su/torchfurnace

2f4a9a0655a8d3c3e231c86611085f834e03c2f8

[ "MIT" ]

8

2020-03-20T13:49:30.000Z

2021-12-04T07:41:27.000Z

torchfurnace/engine.py

tianyu-su/torchfurnace

2f4a9a0655a8d3c3e231c86611085f834e03c2f8

[ "MIT" ]

null

torchfurnace/engine.py

tianyu-su/torchfurnace

2f4a9a0655a8d3c3e231c86611085f834e03c2f8

[ "MIT" ]

1

2020-04-01T11:01:09.000Z

# -*- coding: utf-8 -*- # Date: 2020/3/17 12:16 """ an engine for deep learning task """ __author__ = 'tianyu' import abc import random import time import warnings import numpy as np import torch.backends.cudnn import torch.nn.functional as F import torch.utils.data from torch.optim.lr_scheduler import StepLR from ....

39.955294

149

0.572876

1,993

16,981

4.636227

0.168088

0.04329

0.017316

0.016558

0.338203

0.277381

0.247619

0.227814

0.210498

0.173593

0

0.011981

0.316766

16,981

424

150

40.049528

0.784434

0.136741

0

0.241877

0

0.00722

0.104505

0.01427

0

0.00361

1

0.086643

false

0.021661

0.050542

0.01083

0.191336

0.021661

0

null

0

null

0

1

0

6c36c7337778993804185f55e34f582ccb3e038c

3,736

py

Python

tests/test_ninjadog.py

knowsuchagency/ninjadog

54f0c98da1006d97b6e39d39d0e4e056288f52d0

[ "MIT" ]

26

2017-06-23T02:18:54.000Z

2022-02-19T08:45:11.000Z

tests/test_ninjadog.py

knowsuchagency/ninjadog

54f0c98da1006d97b6e39d39d0e4e056288f52d0

[ "MIT" ]

21

2017-06-22T07:30:20.000Z

2022-03-26T02:23:24.000Z

tests/test_ninjadog.py

knowsuchagency/ninjadog

54f0c98da1006d97b6e39d39d0e4e056288f52d0

[ "MIT" ]

2

2018-06-20T01:16:27.000Z

2020-07-14T19:55:27.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `ninjadog` package.""" # TODO: test raises ValueError when pug cli can't be found and not passed explicitly to renderer def test_npm_installed(): from subprocess import Popen assert Popen(('which', 'npm')).wait() == 0, 'npm must be installed' def...

27.470588

112

0.635974

490

3,736

4.759184

0.222449

0.045026

0.027015

0.051458

0.328473

0.259005

0.150086

0.110635

0.062607

0

0.016775

0.218148

3,736

135

113

27.674074

0.781582

0.0447

0

0.276596

0

0.318169

0.024712

0

0.007407

0.148936

1

0.117021

false

0

0.202128

0

0.319149

0

null

0

null

0

1

0

6c3ca74700c452639c1abd59ef05386a970cf094

1,095

py

Python

src/detect_utils.py

iglaweb/HippoYD

da2c40be8017c43a7b7b6c029e2df30cf7d54932

[ "Apache-2.0" ]

7

2021-07-02T03:57:20.000Z

2022-03-20T13:23:32.000Z

src/detect_utils.py

filipul1s/HippoYD

da2c40be8017c43a7b7b6c029e2df30cf7d54932

[ "Apache-2.0" ]

null

src/detect_utils.py

filipul1s/HippoYD

da2c40be8017c43a7b7b6c029e2df30cf7d54932

[ "Apache-2.0" ]

3

2021-07-02T16:07:28.000Z

2022-03-20T13:23:33.000Z

import cv2 from scipy.spatial import distance as dist def mouth_aspect_ratio(mouth) -> float: # compute the euclidean distances between the two sets of # vertical mouth landmarks (x, y)-coordinates A = dist.euclidean(mouth[2], mouth[10]) # 51, 59 B = dist.euclidean(mouth[4], mouth[8]) # 53, 57 ...

36.5

117

0.675799

157

1,095

4.579618

0.452229

0.108484

0.075104

0.072323

0.080668

0

0.029656

0.230137

1,095

29

118

37.758621

0.82325

0.286758

0

1

0.125

false

0

0.125

0

0.375

0

null

0

null

0

1

0

6c3cce245cb8dd51640bae04fe6b64d1a7249903

3,626

py

Python

rna_format.py

thedinak/Genetics-to-Therapuetics

f38cc76ceb8b9217b3f4b19f985a255c1c1dd98d

[ "MIT" ]

null

rna_format.py

thedinak/Genetics-to-Therapuetics

f38cc76ceb8b9217b3f4b19f985a255c1c1dd98d

[ "MIT" ]

null

rna_format.py

thedinak/Genetics-to-Therapuetics

f38cc76ceb8b9217b3f4b19f985a255c1c1dd98d

[ "MIT" ]

null

import pandas as pd import os import tarfile import glob import json def unzip_rna_seq_data(file_name, desired_folder_name): ''' Downloaded RNA files are tarfiles, this unzips them''' if 'tar' in file_name: open_tar = tarfile.open(file_name) open_tar.extractall(f'{desired_folder_name}') ...

39.413043

79

0.619967

473

3,626

4.501057

0.346723

0.031

0.032879

0.022546

0.024425

0

0.003795

0.273304

3,626

91

80

39.846154

0.804175

0.163265

0

0.071022

0.007035

0

1

0.092308

false

0

0.076923

0

0.246154

0.015385

0

null

0

null

0

1

0

6c3cdcc2642ae1e7ae2f269889189d138f16d4af

7,268

py

Python

fasturl/fasturl.py

evite/django-fasturls

52e397c5f4b4b2b7d6c5cd2bf9cc8cac1b4efa9b

[ "MIT" ]

null

fasturl/fasturl.py

evite/django-fasturls

52e397c5f4b4b2b7d6c5cd2bf9cc8cac1b4efa9b

[ "MIT" ]

null

fasturl/fasturl.py

evite/django-fasturls

52e397c5f4b4b2b7d6c5cd2bf9cc8cac1b4efa9b

[ "MIT" ]

null

import re from collections import OrderedDict from django.conf.urls import url as django_url, include from django.core.urlresolvers import RegexURLResolver, RegexURLPattern from django.utils.encoding import force_text import logging # Using FastUrl has a couple of caveats: # 1. FastUrl tries to keep the resolution ord...

35.627451

128

0.589158

918

7,268

4.498911

0.230937

0.017433

0.013559

0.020339

0.146005

0.112107

0.083777

0.05569

0

0.010342

0.3082

7,268

203

129

35.802956

0.811058

0.164007

0

0.189189

0

0.039066

0

1

0.074324

false

0.027027

0.040541

0

0.202703

0.047297

0

null

0

null

0

1

0

6c3d59a46c15d1afca1d52fd4d95d34b6fd700b1

6,679

py

Python

experiments/2_training.py

helenacuesta/multif0-estimation-polyvocals

4960f5415f8a170f2ff8d5b776bfd4cb5576d3ba

[ "MIT" ]

36

2020-09-13T12:30:41.000Z

2022-02-15T08:52:58.000Z

experiments/2_training.py

helenacuesta/multif0-estimation-polyvocals

4960f5415f8a170f2ff8d5b776bfd4cb5576d3ba

[ "MIT" ]

6

2020-09-04T11:14:14.000Z

2022-02-09T23:49:59.000Z

experiments/2_training.py

helenacuesta/multif0-estimation-polyvocals

4960f5415f8a170f2ff8d5b776bfd4cb5576d3ba

[ "MIT" ]

null

import os import json import keras import numpy as np import csv from experiments import config import utils import utils_train import models import argparse class Data(object): """Class that deals with all the data mess """ def __init__(self, data_splits_path, data_path, input_patch_size, batch_size, ...

28.421277

104

0.658332

855

6,679

4.818713

0.214035

0.065534

0.034709

0.026214

0.313107

0.279369

0.240291

0.190534

0.16966

0

0.007176

0.24884

6,679

234

105

28.542735

0.814032

0.053301

0

0.107914

0

0.092308

0.004632

0

1

0.079137

false

0

0.071942

0

0.208633

0.05036

0

null

0

null

0

1

0

6c3f1a1b4560f11557e8a7fa31b050b56c6becc0

6,666

py

Python

backend/validators/models.py

Cryptorubic/rubic-validator

88fd90d15da1fad538667c375189e2625d045ab0

[ "MIT" ]

null

backend/validators/models.py

Cryptorubic/rubic-validator

88fd90d15da1fad538667c375189e2625d045ab0

[ "MIT" ]

null

backend/validators/models.py

Cryptorubic/rubic-validator

88fd90d15da1fad538667c375189e2625d045ab0

[ "MIT" ]

null

from logging import exception, info from requests import post as request_post from requests.exceptions import RequestException from typing import Union from uuid import UUID from django.conf import settings from django.db.models import ( CASCADE, CharField, ForeignKey, OneToOneField, ) from web3.types ...

29.495575

79

0.611461

661

6,666

5.912254

0.252648

0.047851

0.026868

0.027636

0.163255

0.13869

0.120266

0

0.005635

0.307831

6,666

225

80

29.626667

0.841352

0.124062

0

0.070064

0

0.096571

0.030266

0

1

0.025478

false

0.012739

0.089172

0.012739

0.216561

0

null

0

null

0

1

0

6c40a91da29b8a959cf350b71661cacacc596d6d

494

py

Python

practise/remove_zero.py

mengyangbai/leetcode

e7a6906ecc5bce665dec5d0f057b302a64d50f40

[ "MIT" ]

null

practise/remove_zero.py

mengyangbai/leetcode

e7a6906ecc5bce665dec5d0f057b302a64d50f40

[ "MIT" ]

null

practise/remove_zero.py

mengyangbai/leetcode

e7a6906ecc5bce665dec5d0f057b302a64d50f40

[ "MIT" ]

null

class Solution(object): def moveZeroes(self, nums): """ :type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead. """ n = 0 k = len(nums) for i in range(k-n): if nums[i]==0: while k-1-n >= i or nums[k-...

27.444444

74

0.465587

72

494

3.083333

0.472222

0.036036

0.054054

0.094595

0.081081

0

0.029316

0.378543

494

18

75

27.444444

0.693811

0.178138

0

0.021333

0

1

0.076923

false

0

0.153846

0

null

0

null

0

1

0

6c42601ba0916dd0c025e30a21fda4322eb4b154

2,838

py

Python

scripts/train_agent.py

weepingwillowben/reward-surfaces

f27211faf3784df3305972b7cad65002fd57d7bf

[ "MIT" ]

null

scripts/train_agent.py

weepingwillowben/reward-surfaces

f27211faf3784df3305972b7cad65002fd57d7bf

[ "MIT" ]

null

scripts/train_agent.py

weepingwillowben/reward-surfaces

f27211faf3784df3305972b7cad65002fd57d7bf

[ "MIT" ]

2

2021-10-03T14:51:38.000Z

2021-11-10T02:54:26.000Z

import argparse from reward_surfaces.agents.make_agent import make_agent import torch import json import os from glob import glob def main(): parser = argparse.ArgumentParser(description='Train an agent and keep track of important information.') parser.add_argument('save_dir', type=str, help="Directory where ...

41.130435

174

0.65821

368

2,838

4.880435

0.388587

0.03118

0.066258

0.026726

0.044543

0.034521

0

0.009821

0.210712

2,838

68

175

41.735294

0.791964

0.044045

0

0.017857

0.247879

0

0.017857

1

0.017857

false

0

0.125

0

0.142857

0.035714

0

null

0

null

0

1

0

6c44a6f087fd346f5832a3d385363862360f4ae8

447

py

Python

opencypher/tests/ast/test_ordering.py

globality-corp/opencypher

b60bf526fb6d5ea6c731aab867f714f3e10f629b

[ "Apache-2.0" ]

6

2019-01-31T18:55:46.000Z

2020-12-02T14:53:45.000Z

opencypher/tests/ast/test_ordering.py

globality-corp/opencypher

b60bf526fb6d5ea6c731aab867f714f3e10f629b

[ "Apache-2.0" ]

1

2020-12-04T00:18:20.000Z

opencypher/tests/ast/test_ordering.py

globality-corp/opencypher

b60bf526fb6d5ea6c731aab867f714f3e10f629b

[ "Apache-2.0" ]

1

2019-03-17T03:46:26.000Z

from hamcrest import assert_that, equal_to, is_ from opencypher.ast import Expression, NonEmptySequence, Order, SortItem, SortOrder def test_order(): ast = Order( items=NonEmptySequence[SortItem]( SortItem( expression=Expression("foo"), order=SortOrder.DESCENDI...

23.526316

83

0.590604

43

447

5.976744

0.511628

0.077821

0

0.313199

447

18

84

24.833333

0.837134

0

0.133333

0

0.058166

0

0.133333

1

0.066667

false

0

0.133333

0

0.2

0

null

0

null

0

1

0

6c489fd8b4623ac06e1c59f92467d3fce08e9f03

1,742

py

Python

cricdb_data.py

ravi2013167/coursera-site

e78f10c9fa941a834f83853479ea3ee67eeacc64

[ "MIT" ]

null

cricdb_data.py

ravi2013167/coursera-site

e78f10c9fa941a834f83853479ea3ee67eeacc64

[ "MIT" ]

null

cricdb_data.py

ravi2013167/coursera-site

e78f10c9fa941a834f83853479ea3ee67eeacc64

[ "MIT" ]

null

from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from cricdb_setup import Team, Player, Base, Batsman, Bowler, Fielder, PlayerStrength, PlayerWeakness, PlayerMoment, Video engine = create_engine('sqlite:///cricdb.db') # Bind the engine to the metadata of the Base class so that the #...

40.511628

308

0.74225

253

1,742

5.067194

0.545455

0.050702

0.028081

0.017161

0

0.017808

0.161883

1,742

42

309

41.47619

0.860274

0.32434

0

0.190476

0

0.047619

0.287622

0

1

0

false

0

0.142857

0

0.142857

0.047619

0

null

0

null

0

1

0

6c4921ee958b3c93f23ee76186c1ec8331428083

1,006

py

Python

catalog/bindings/gmd/dq_evaluation_method_type_code_property_type.py

NIVANorge/s-enda-playground

56ae0a8978f0ba8a5546330786c882c31e17757a

[ "Apache-2.0" ]

null

catalog/bindings/gmd/dq_evaluation_method_type_code_property_type.py

NIVANorge/s-enda-playground

56ae0a8978f0ba8a5546330786c882c31e17757a

[ "Apache-2.0" ]

null

catalog/bindings/gmd/dq_evaluation_method_type_code_property_type.py

NIVANorge/s-enda-playground

56ae0a8978f0ba8a5546330786c882c31e17757a

[ "Apache-2.0" ]

null

from dataclasses import dataclass, field from typing import Optional, Union from bindings.gmd.dq_evaluation_method_type_code import DqEvaluationMethodTypeCode from bindings.gmd.nil_reason_enumeration_value import NilReasonEnumerationValue __NAMESPACE__ = "http://www.isotc211.org/2005/gmd" @dataclass class DqEvaluati...

32.451613

82

0.667992

94

1,006

6.946809

0.489362

0.059724

0.073507

0.11026

0.316998

0.151608

0.104135

0

0.028133

0.222664

1,006

30

83

33.533333

0.806905

0

0.153846

0

0.239563

0.0666

0

1

0

false

0

0.153846

0

0.307692

0

null

0

null

0

1

0

6c4c00831838cc942a656d3b8ca70c1fdf886a13

3,964

py

Python

spark/ReqTwisted.py

wensheng/spark

ab47107d000f0670f4cfe131637f72471a04cfb2

[ "MIT" ]

null

spark/ReqTwisted.py

wensheng/spark

ab47107d000f0670f4cfe131637f72471a04cfb2

[ "MIT" ]

null

spark/ReqTwisted.py

wensheng/spark

ab47107d000f0670f4cfe131637f72471a04cfb2

[ "MIT" ]

null

#import time from spark.ReqBase import ReqBase class ReqTwisted(ReqBase): """ specialized on Twisted requests """ def __init__(self, req, reactor, properties={}): self.twistedreq = req self.http_accept_language = self.twistedreq.getHeader('Accept-Language') #cookie give me major problem! self.saved_cookies={...

29.362963

89

0.688951

546

3,964

4.8663

0.274725

0.142266

0.026346

0.027098

0.16146

0.114791

0.106887

0.085811

0

0.007494

0.158426

3,964

134

90

29.58209

0.788969

0.139506

0

0.102041

0

0.052926

0.016466

0

1

0.153061

false

0.010204

0.22449

0

null

0

null

0

1

0

6c4cbca2cb07bcccddf7a558df7b93567d90c79c

11,093

py

Python

alpha_transform/AlphaTransformUtility.py

michaelriedl/alpha-transform

add5818b168551cb0c2138c65101c9cdac2bf3d9

[ "MIT" ]

13

2016-12-21T03:25:57.000Z

2022-03-15T03:25:04.000Z

alpha_transform/AlphaTransformUtility.py

michaelriedl/alpha-transform

add5818b168551cb0c2138c65101c9cdac2bf3d9

[ "MIT" ]

4

2020-07-11T09:49:51.000Z

2021-12-03T07:07:34.000Z

alpha_transform/AlphaTransformUtility.py

michaelriedl/alpha-transform

add5818b168551cb0c2138c65101c9cdac2bf3d9

[ "MIT" ]

7

2018-09-23T10:58:24.000Z

2021-09-05T01:13:57.000Z

r""" This module contains several utility functions which can be used e.g. for thresholding the alpha-shearlet coefficients or for using the alpha-shearlet transform for denoising. Finally, it also contains the functions :func:`my_ravel` and :func:`my_unravel` which can be used to convert the alpha-shearlet coefficien...

34.557632

79

0.63166

1,474

11,093

4.683853

0.244912

0.007242

0.017236

0.020278

0.148175

0.11066

0.090238

0.058082

0.045771

0.017092

0

0.006473

0.261877

11,093

320

80

34.665625

0.836712

0.694041

0

0.056338

0

0.102374

0

1

0.112676

false

0

0.070423

0

0.267606

0.028169

0

null

0

null

0

1

0

6c50ce676f3a6dc75c4d1900f6d996ce7fd69ed7

2,692

py

Python

tests/provider/dwd/radar/test_api_latest.py

waltherg/wetterdienst

3c5c63b5b8d3e19511ad789bb499bdaa9b1976d9

[ "MIT" ]

1

2021-09-01T12:53:09.000Z

tests/provider/dwd/radar/test_api_latest.py

waltherg/wetterdienst

3c5c63b5b8d3e19511ad789bb499bdaa9b1976d9

[ "MIT" ]

null

tests/provider/dwd/radar/test_api_latest.py

waltherg/wetterdienst

3c5c63b5b8d3e19511ad789bb499bdaa9b1976d9

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2018-2021, earthobservations developers. # Distributed under the MIT License. See LICENSE for more info. import re from datetime import datetime import pytest from tests.provider.dwd.radar import station_reference_pattern_unsorted from wetterdienst.provider.dwd.radar import Dwd...

30.247191

108

0.69688

324

2,692

5.657407

0.385802

0.02946

0.016367

0.017458

0.588652

0.322968

0.267321

0.231315

0.195854

0

0.051942

0.177563

2,692

88

109

30.590909

0.775971

0.120357

0

0.425926

0

0.018519

0.16789

0.088045

0

0.055556

1

0.055556

false

0

0.148148

0

0.203704

0

null

0

null

0

1

0

6c5274b4da8bf2db8410e4efcd81dcd874ad4000

710

py

Python

tests/conftest.py

transferwise/cloudflare-exporter

d5efd4e9068bf9896a16ec6913d3345e3754d7c8

[ "Apache-2.0" ]

1

2021-08-06T15:09:26.000Z

tests/conftest.py

transferwise/cloudflare-exporter

d5efd4e9068bf9896a16ec6913d3345e3754d7c8

[ "Apache-2.0" ]

16

2021-09-20T04:10:29.000Z

2022-03-14T04:26:01.000Z

tests/conftest.py

transferwise/cloudflare-exporter

d5efd4e9068bf9896a16ec6913d3345e3754d7c8

[ "Apache-2.0" ]

2

2021-08-21T18:48:15.000Z

2021-11-19T16:52:25.000Z

# -*- coding: utf-8 -*- import pytest import json from pathlib import Path @pytest.fixture def accounts_httpRequests1hGroupsFixture(scope="session"): with open("tests/data/accounts/httpRequests1hGroups.json") as data: res = json.load(data) return res @pytest.fixture def zones_httpRequests1hGroupsFix...

26.296296

87

0.712676

86

710

5.837209

0.44186

0.077689

0.095618

0.119522

0.501992

0.278884

0

0.010152

0.167606

710

26

88

27.307692

0.839256

0.057746

0

0.388889

0

0.253754

0.222222

0

1

0.166667

false

0

0.166667

0

0.5

0

null

0

null

0

1

0

6c5353e05ae0337f97754129d22ee251e890227f

4,529

py

Python

scripts/delay_analysis.py

welvin21/pysimt

6250b33dc518b3195da4fc9cc8d32ba7ada958c0

[ "MIT" ]

34

2020-09-21T10:49:57.000Z

2022-01-08T04:50:42.000Z

scripts/delay_analysis.py

welvin21/pysimt

6250b33dc518b3195da4fc9cc8d32ba7ada958c0

[ "MIT" ]

2

2021-01-08T03:52:51.000Z

2021-09-10T07:45:05.000Z

scripts/delay_analysis.py

welvin21/pysimt

6250b33dc518b3195da4fc9cc8d32ba7ada958c0

[ "MIT" ]

5

2021-04-23T09:30:51.000Z

2022-01-09T08:40:45.000Z

#!/usr/bin/env python import os import sys import glob import argparse from pathlib import Path from collections import defaultdict from hashlib import sha1 import numpy as np import sacrebleu import tabulate from pysimt.metrics.simnmt import AVPScorer, AVLScorer, CWMScorer, CWXScorer """This script should be run ...

34.310606

97

0.59108

600

4,529

4.345

0.31

0.034906

0.013809

0.021481

0.070963

0.050249

0

0.007643

0.277766

4,529

131

98

34.572519

0.789361

0.095827

0

0.068182

0

0.103743

0.042452

0

1

0.022727

false

0

0.125

0

0.181818

0.011364

0

null

0

null

0

1

0

6c56a8517956b8fdd74335b60fe24a921ed77b5c

3,713

py

Python

canvas_course_site_wizard/views.py

Harvard-University-iCommons/django-canvas-course-site-wizard

0210849e959407e5a850188f50756eb69b9a4dc2

[ "MIT" ]

null

canvas_course_site_wizard/views.py

Harvard-University-iCommons/django-canvas-course-site-wizard

0210849e959407e5a850188f50756eb69b9a4dc2

[ "MIT" ]

5

2018-05-10T19:49:43.000Z

2021-01-29T19:39:34.000Z

canvas_course_site_wizard/views.py

Harvard-University-iCommons/django-canvas-course-site-wizard

0210849e959407e5a850188f50756eb69b9a4dc2

[ "MIT" ]

null

import logging from django.views.generic.base import TemplateView from django.views.generic.detail import DetailView from django.shortcuts import redirect from .controller import ( create_canvas_course, start_course_template_copy, finalize_new_canvas_course, get_canvas_course_url ) from .mixins import C...

51.569444

121

0.736062

447

3,713

5.897092

0.369128

0.063733

0.022762

0.016692

0.088771

0.068285

0.042489

0

0.002028

0.20307

3,713

71

122

52.295775

0.888814

0.25882

0

0.085416

0.038046

0

1

0.042553

false

0

0.212766

0

0.468085

0

null

0

null

0

1

0

6c58884fde7690dcd1123dcef567073872ba2ad9

7,389

py

Python

brie/utils/count.py

huangyh09/brie

59563baafcdb95d1d75a81203e5cc29983f66c2f

[ "Apache-2.0" ]

38

2017-01-06T00:18:46.000Z

2022-01-25T19:44:10.000Z

brie/utils/count.py

huangyh09/brie

59563baafcdb95d1d75a81203e5cc29983f66c2f

[ "Apache-2.0" ]

28

2017-01-11T09:12:57.000Z

2022-02-14T14:53:48.000Z

brie/utils/count.py

huangyh09/brie

59563baafcdb95d1d75a81203e5cc29983f66c2f

[ "Apache-2.0" ]

12

2018-02-13T20:23:00.000Z

2022-01-05T18:39:19.000Z

import sys import numpy as np from .sam_utils import load_samfile, fetch_reads def _check_SE_event(gene): """Check SE event""" if (len(gene.trans) != 2 or gene.trans[0].exons.shape[0] != 3 or gene.trans[1].exons.shape[0] != 2 or np.mean(gene.trans[0].exons[[0, 2], :] == ...

35.354067

79

0.603194

1,100

7,389

3.881818

0.167273

0.048712

0.033724

0.044965

0.568852

0.532084

0.48103

0.458548

0.418735

0.362529

0

0.046395

0.27365

7,389

208

80

35.524038

0.749208

0.278116

0

0.224299

0

0.040522

0

0.004808

0

1

0.065421

false

0

0.028037

0

0.17757

0.028037

0

null

0

null

0

1

0

6c5c369d85c41ace1c62ddc67471055b462a3df1

1,527

py

Python

ledshimdemo/display_options.py

RatJuggler/led-shim-effects

3c63f5f2ce3f35f52e784489deb9212757c18cd2

[ "MIT" ]

1

2021-04-17T16:18:14.000Z

ledshimdemo/display_options.py

RatJuggler/led-shim-effects

3c63f5f2ce3f35f52e784489deb9212757c18cd2

[ "MIT" ]

12

2019-07-26T18:01:56.000Z

2019-08-31T15:35:17.000Z

ledshimdemo/display_options.py

RatJuggler/led-shim-demo

3c63f5f2ce3f35f52e784489deb9212757c18cd2

[ "MIT" ]

null

import click from typing import Callable, List from .effect_parade import AbstractEffectParade DISPLAY_OPTIONS = [ click.option('-p', '--parade', type=click.Choice(AbstractEffectParade.get_parade_options()), help="How the effects are displayed.", default=AbstractEffectParade.get_default_option()...

41.27027

114

0.64833

194

1,527

5.020619

0.371134

0.067762

0.061602

0.082136

0.106776

0

0.022053

0.227898

1,527

36

115

42.416667

0.804071

0.172888

0

0.224167

0

1

0.095238

false

0

0.142857

0

0.333333

0

null

0

null

0

1

0

6c5e382a6852be827146dfca1422cff18cd4ad2e

587

py

Python

download_data_folder.py

MelvinYin/Defined_Proteins

75da20be82a47d85d27176db29580ab87d52b670

[ "BSD-3-Clause" ]

2

2021-01-05T02:55:57.000Z

2021-04-16T15:49:08.000Z

download_data_folder.py

MelvinYin/Defined_Proteins

75da20be82a47d85d27176db29580ab87d52b670

[ "BSD-3-Clause" ]

null

download_data_folder.py

MelvinYin/Defined_Proteins

75da20be82a47d85d27176db29580ab87d52b670

[ "BSD-3-Clause" ]

1

2021-01-05T08:12:38.000Z

import boto3 import os import tarfile if __name__ == "__main__": s3 = boto3.client('s3', aws_access_key_id="AKIAY6UR252SQUQ3OSWZ", aws_secret_access_key="08LQj" "+ryk9SMojG18vERXKKzhNSYk5pLhAjrIAVX") output_path = "./data.tar.gz" with open(o...

34.529412

82

0.626917

68

587

5.117647

0.558824

0.143678

0.051724

0

0.036446

0.252129

587

17

83

34.529412

0.756264

0

0.22619

0.059524

0

0.0625

1

0

false

0

0.1875

0

0.1875

0.0625

0

null

0

null

0

1

0

6c600ba2b9e8dfbbc98654347a117e7d18a03ded

8,247

py

Python

splotch/utils_visium.py

adaly/cSplotch

c79a5cbd155f2cd5bcc1d8b04b1824923feb1442

[ "BSD-3-Clause" ]

1

2021-12-20T16:13:16.000Z

splotch/utils_visium.py

adaly/cSplotch

c79a5cbd155f2cd5bcc1d8b04b1824923feb1442

[ "BSD-3-Clause" ]

null

splotch/utils_visium.py

adaly/cSplotch

c79a5cbd155f2cd5bcc1d8b04b1824923feb1442

[ "BSD-3-Clause" ]

null

import os, sys import logging import numpy as np import pandas as pd from matplotlib import pyplot as plt from scipy.ndimage import label from .utils import watershed_tissue_sections, get_spot_adjacency_matrix # Read in a series of Loupe annotation files and return the set of all unique categories. # NOTE: "Undefine...

36.0131

122

0.751789

1,328

8,247

4.447289

0.222139

0.052828

0.03742

0.004064

0.186082

0.160515

0.110735

0.099898

0.086014

0.074501

0

0.020147

0.139323

8,247

228

123

36.171053

0.811919

0.191464

0

0.030075

0

0.007519

0.068472

0.02675

0

1

0.075188

false

0

0.075188

0

0.233083

0.007519

0

null

0

null

0

1

0

6c609ad8257f94c3be0be69725b48962c792c7f1

1,729

py

Python

floa/routes.py

rsutton/loa

31ca8cc3f7be011b21f22ed2ce509d135a4b866b

[ "MIT" ]

null

floa/routes.py

rsutton/loa

31ca8cc3f7be011b21f22ed2ce509d135a4b866b

[ "MIT" ]

null

floa/routes.py

rsutton/loa

31ca8cc3f7be011b21f22ed2ce509d135a4b866b

[ "MIT" ]

null

from flask import ( Blueprint, render_template, request, session, current_app as app ) from flask_login import current_user from floa.extensions import loa from floa.models.library import Library bp = Blueprint( name='home', import_name=__name__, url_prefix="/" ) @app.errorhandler...

24.7

79

0.657606

206

1,729

5.330097

0.320388

0.140255

0.076503

0.068306

0.163934

0.067395

0

0.018018

0.229612

1,729

69

80

25.057971

0.806306

0.043378

0

0.071429

0

0.064809

0

1

0.089286

false

0

0.089286

0.035714

0.267857

0.035714

0

null

0

null

0

1

0

6c619fe8bbdf105e5a1586be4e70bb3d3697916a

3,496

py

Python

api/async/__init__.py

lampwins/orangengine-ui

8c864cd297176aa0ff9ead9682f2085f9fd3f1c0

[ "MIT" ]

1

2017-10-28T00:21:43.000Z

api/async/__init__.py

lampwins/orangengine-ui

8c864cd297176aa0ff9ead9682f2085f9fd3f1c0

[ "MIT" ]

null

api/async/__init__.py

lampwins/orangengine-ui

8c864cd297176aa0ff9ead9682f2085f9fd3f1c0

[ "MIT" ]

4

2017-01-26T23:31:32.000Z

2019-04-17T14:02:00.000Z

import logging import orangengine from api.models import Device as DeviceModel from celery.utils.log import get_task_logger from api import debug celery_logger = get_task_logger(__name__) if debug: celery_logger.setLevel(logging.DEBUG) celery_logger.debug('Enabled Debug mode') class OEDeviceFactory(object...

33.615385

92

0.663043

410

3,496

5.412195

0.239024

0.12393

0.057684

0.028391

0.073907

0.032447

0

0.251144

3,496

103

93

33.941748

0.847594

0.224828

0

0.1

0

0.051048

0.011429

0

1

0.15

false

0.016667

0.083333

0

0.35

0

null

0

null

0

1

0

6c6938ad771712cddf43056b1ad20a6d5a62ca66

4,240

py

Python

yolov3/utils/checkpoint.py

hysts/pytorch_yolov3

6d4c7a1e42d366894effac8ca52f7116f891b5ab

[ "MIT" ]

13

2019-03-22T15:22:22.000Z

2021-09-30T21:15:37.000Z

yolov3/utils/checkpoint.py

hysts/pytorch_yolov3

6d4c7a1e42d366894effac8ca52f7116f891b5ab

[ "MIT" ]

null

yolov3/utils/checkpoint.py

hysts/pytorch_yolov3

6d4c7a1e42d366894effac8ca52f7116f891b5ab

[ "MIT" ]

null

import copy import logging import pathlib import torch import torch.nn as nn from yolov3.config import get_default_config from yolov3.utils.config_node import ConfigNode class CheckPointer: def __init__( self, model, optimizer=None, scheduler=None, che...

36.551724

79

0.624764

479

4,240

5.356994

0.192067

0.055729

0.053001

0.05378

0.287997

0.193297

0.144193

0.109119

0.053001

0

0.001645

0.283019

4,240

115

80

36.869565

0.842434

0

0.131313

0

0.082075

0

1

0.080808

false

0

0.070707

0.010101

0.222222

0

null

0

null

0

1

0

6c6f498aea5f5f14a181bf4e682dea6414249ebe

1,749

py

Python

gaussian_filter.py

baiching/Paper-Implementations

56136a88a64885270adbefd6999815a1ad6f56a2

[ "MIT" ]

null

gaussian_filter.py

baiching/Paper-Implementations

56136a88a64885270adbefd6999815a1ad6f56a2

[ "MIT" ]

null

gaussian_filter.py

baiching/Paper-Implementations

56136a88a64885270adbefd6999815a1ad6f56a2

[ "MIT" ]

null

import math import numbers import torch from torch import nn from torch.nn import functional as F def gaussian_filter(in_channel, out_channel, kernel_size=15, sigma=3): """ This method returns 2d gaussian filter input : in_channel : Number of input channels out_channel : Expected number of output ...

34.98

83

0.675815

243

1,749

4.666667

0.345679

0.114638

0.056437

0.070547

0

0.017306

0.240137

1,749

50

84

34.98

0.835967

0.311607

0

1

0.04

false

0

0.2

0

0.28

0

null

0

null

0

1

0

6c72586f407f6e08ecae9c71f47245060e33b3dd

28,356

py

Python

widgets/RichTextCtrl.py

iubica/wx-portfolio

12101986db72bcaffd9b744d514d6f9f651ad5a1

[ "MIT" ]

3

2018-03-19T07:57:10.000Z

2021-07-05T08:55:14.000Z

widgets/RichTextCtrl.py

iubica/wx-portfolio

12101986db72bcaffd9b744d514d6f9f651ad5a1

[ "MIT" ]

6

2020-03-24T15:40:18.000Z

2021-12-13T19:46:09.000Z

widgets/RichTextCtrl.py

iubica/wx-portfolio

12101986db72bcaffd9b744d514d6f9f651ad5a1

[ "MIT" ]

4

2018-03-29T21:59:55.000Z

2019-12-16T14:56:38.000Z

#!/usr/bin/env python from six import BytesIO import wx import wx.richtext as rt import images #---------------------------------------------------------------------- class RichTextFrame(wx.Frame): def __init__(self, *args, **kw): wx.Frame.__init__(self, *args, **kw) self.MakeMenuBar() ...

38.684857

302

0.608513

3,125

28,356

5.46336

0.1888

0.091021

0.050606

0.032683

0.522052

0.446729

0.370644

0.351198

0.300533

0.275347

0

0.009543

0.268268

28,356

732

303

38.737705

0.813292

0.046198

0

0.417582

0

0.018315

0.141752

0.004441

0

1

0.069597

false

0

0.012821

0

0.095238

0

null

0

null

0

1

0

6c768de90390e5fd0ea2640bab37a8869d234309

1,784

py

Python

lcd/nodemcu_gpio_lcd_test.py

petrkr/python_lcd

92e5d0211e5cef4dcc9078905f4bd53dc2cc78b4

[ "MIT" ]

237

2015-07-19T21:33:01.000Z

2022-03-30T00:19:46.000Z

lcd/nodemcu_gpio_lcd_test.py

petrkr/python_lcd

92e5d0211e5cef4dcc9078905f4bd53dc2cc78b4

[ "MIT" ]

25

2015-07-19T20:44:31.000Z

2022-01-26T10:42:07.000Z

lcd/nodemcu_gpio_lcd_test.py

petrkr/python_lcd

92e5d0211e5cef4dcc9078905f4bd53dc2cc78b4

[ "MIT" ]

107

2015-09-05T12:54:55.000Z

2022-03-28T15:36:13.000Z

"""Implements a HD44780 character LCD connected via NodeMCU GPIO pins.""" from machine import Pin from utime import sleep, ticks_ms from nodemcu_gpio_lcd import GpioLcd # Wiring used for this example: # # 1 - Vss (aka Ground) - Connect to one of the ground pins on you NodeMCU board. # 2 - VDD - Connect to 3V # 3 -...

34.307692

81

0.627242

283

1,784

3.90106

0.45583

0.089674

0.048913

0.059783

0.097826

0

0.064566

0.27074

1,784

51

82

34.980392

0.784012

0.622758

0

0.065728

0

1

0.047619

false

0

0.142857

0

0.190476

0.047619

0

null

0

null

0

1

0

6c77d3d22c710ab0e8e3582be4b79df9edb68531

11,579

py

Python

apps/life_sci/examples/reaction_prediction/rexgen_direct/utils.py

LunaBlack/dgl

bd1e48a51e348b0e8e25622325adeb5ddea1c0ea

[ "Apache-2.0" ]

2

2021-12-09T12:36:13.000Z

2022-03-01T21:22:36.000Z

apps/life_sci/examples/reaction_prediction/rexgen_direct/utils.py

sherry-1001/dgl

60d2e7d3c928d43bbb18e7ab17c066451c49f649

[ "Apache-2.0" ]

null

apps/life_sci/examples/reaction_prediction/rexgen_direct/utils.py

sherry-1001/dgl

60d2e7d3c928d43bbb18e7ab17c066451c49f649

[ "Apache-2.0" ]

2

2020-12-07T09:34:01.000Z

2020-12-13T06:18:58.000Z

import dgl import errno import numpy as np import os import random import torch from collections import defaultdict from rdkit import Chem def mkdir_p(path): """Create a folder for the given path. Parameters ---------- path: str Folder to create """ try: os.makedirs(path) ...

37.112179

97

0.648847

1,566

11,579

4.597063

0.192848

0.056397

0.03431

0.024309

0.415197

0.363939

0.348243

0.322128

0.291013

0.277677

0

0.007952

0.261508

11,579

311

98

37.231511

0.833938

0.350289

0

0.287671

0

0.038527

0

0.006849

1

0.054795

false

0

0.054795

0

0.143836

0.013699

0

null

0

null

0

1

0

6c79a93effba00b7b6196ac9c718d0c037c656b9

5,168

py

Python

src/figures/violin_plot_sp_performance.py

espottesmith/hydrobench

e117774c94cff11debd764d231757174ec211e99

[ "MIT" ]

1

2022-03-16T19:19:15.000Z

src/figures/violin_plot_sp_performance.py

espottesmith/hydrobench

e117774c94cff11debd764d231757174ec211e99

[ "MIT" ]

null

src/figures/violin_plot_sp_performance.py

espottesmith/hydrobench

e117774c94cff11debd764d231757174ec211e99

[ "MIT" ]

null

import csv import os import difflib import statistics import numpy as np import matplotlib.pyplot as plt SMALL_SIZE = 12 MEDIUM_SIZE = 14 LARGE_SIZE = 18 plt.rc('font', size=SMALL_SIZE) # controls default text sizes # plt.rc('title', titlesize=MEDIUM_SIZE) # fontsize of the axes title plt.rc('axes', lab...

32.917197

186

0.572175

746

5,168

3.880697

0.270777

0.01658

0.02487

0.023489

0.402073

0.387219

0.356131

0.316062

0

0.050547

0.257353

5,168

157

187

32.917197

0.703752

0.239358

0

0.241379

0

0.150618

0.022657

0

1

0.011494

false

0

0.068966

0

0.091954

0

null

0

null

0

1

0

6c7aa53b02ade1969b440eeb2dca4bdd3802359c

205

py

Python

submissions/abc083/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

1

2021-05-10T01:16:28.000Z

submissions/abc083/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

3

2021-05-11T06:14:15.000Z

2021-06-19T08:18:36.000Z

submissions/abc083/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

null

# sys.stdin.readline() import sys input = sys.stdin.readline a, b, c, d = map(int, input().split()) if a+b > c+d: ans = 'Left' elif a+b == c+d: ans = 'Balanced' else: ans = 'Right' print(ans)

15.769231

38

0.57561

36

205

3.277778

0.555556

0.050847

0.076271

0.101695

0.118644

0

0.22439

205

12

39

17.083333

0.742138

0.097561

0

0.092896

0

1

0

false

0

0.1

0

0.1

0

null

0

null

0

1

0

6c7b5575e035c24915e3b04e46105e06901e65b5

255

py

Python

tensorstream/helpers/flatten.py

clems4ever/tensorstream

61bff14f65f71bdd4ab58aefbd6eda79ec5863cb

[ "Apache-2.0" ]

5

2019-04-10T03:51:13.000Z

2020-07-12T10:50:24.000Z

tensorstream/helpers/flatten.py

clems4ever/tensorstream

61bff14f65f71bdd4ab58aefbd6eda79ec5863cb

[ "Apache-2.0" ]

null

tensorstream/helpers/flatten.py

clems4ever/tensorstream

61bff14f65f71bdd4ab58aefbd6eda79ec5863cb

[ "Apache-2.0" ]

null

def flatten(elems): stack = [] if isinstance(elems, (list, tuple)): for x in elems: stack += flatten(x) elif isinstance(elems, (dict)): for x in elems.values(): stack += flatten(x) else: stack.append(elems) return stack

19.615385

38

0.603922

34

255

4.529412

0.5

0.12987

0.077922

0.142857

0

0.254902

255

12

39

21.25

0.810526

0

0.181818

0

1

0.090909

false

0

0.181818

0

null

0

null

0

1

0

6c7c6ab3c977d309a6e23ab36c08b279c63de1a3

3,822

py

Python

src/po_utils/common_actions/element_interactions.py

matthew-bahloul/browser-utils

22372d1a6718d8a7fd4eebf116c728aaa06e68ee

[ "MIT" ]

null

src/po_utils/common_actions/element_interactions.py

matthew-bahloul/browser-utils

22372d1a6718d8a7fd4eebf116c728aaa06e68ee

[ "MIT" ]

null

src/po_utils/common_actions/element_interactions.py

matthew-bahloul/browser-utils

22372d1a6718d8a7fd4eebf116c728aaa06e68ee

[ "MIT" ]

null

""" by_locator : tuple --> (<selenium By object>, <selector string>) x_offset : int --> integer value of x offset in pixels y_offset : int --> integer value of y offset in pixels x_destination : int --> integer value of x location on page y_desitination : int ...

53.083333

205

0.75641

541

3,822

4.985213

0.207024

0.100111

0.059696

0.070078

0.578791

0.506118

0.378569

0.350389

0.3363

0

0.003033

0.137363

3,822

71

206

53.830986

0.814983

0.179487

0

0.333333

0

0.020833

0.062419

0.037193

0

1

0.104167

false

0

0.104167

0

0.208333

0

null

0

null

0

1

0

6c7e366d11f836cc2b4028018db9d96639fae992

174

py

Python

Topics/Custom generators/Even numbers/main.py

valenciarichards/hypernews-portal

0b6c4d8aefe4f8fc7dc90d6542716e98f52515b3

[ "MIT" ]

1

2021-07-26T03:06:14.000Z

Topics/Custom generators/Even numbers/main.py

valenciarichards/hypernews-portal

0b6c4d8aefe4f8fc7dc90d6542716e98f52515b3

[ "MIT" ]

null

Topics/Custom generators/Even numbers/main.py

valenciarichards/hypernews-portal

0b6c4d8aefe4f8fc7dc90d6542716e98f52515b3

[ "MIT" ]

null

n = int(input()) def even(x): yield x * 2 for number in range(n): print(next(even(number))) # Don't forget to print out the first n numbers one by one here

13.384615

63

0.62069

32

174

3.375

0.78125

0

0.007813

0.264368

174

12

64

14.5

0.835938

0.350575

0

1

0.2

false

0

0.2

0

null

0

null

0

1

0

6c7f914b76e891552a3b496827a2a433ae7084c1

2,096

py

Python

cronman/cron_jobs/run_cron_tasks.py

ryancheley/django-cronman

5be5d9d5eecba0f110808c9e7a97ef89ef620ade

[ "BSD-3-Clause" ]

17

2018-09-25T16:28:36.000Z

2022-01-31T14:43:24.000Z

cronman/cron_jobs/run_cron_tasks.py

ryancheley/django-cronman

5be5d9d5eecba0f110808c9e7a97ef89ef620ade

[ "BSD-3-Clause" ]

14

2018-11-04T14:45:14.000Z

2022-02-01T04:02:47.000Z

cronman/cron_jobs/run_cron_tasks.py

ryancheley/django-cronman

5be5d9d5eecba0f110808c9e7a97ef89ef620ade

[ "BSD-3-Clause" ]

3

2018-09-25T16:28:44.000Z

2022-02-01T04:08:23.000Z

# -*- coding: utf-8 -*- # vi:si:et:sw=4:sts=4:ts=4 from __future__ import unicode_literals from django.db import connections from django.utils import timezone from django.utils.functional import cached_property from cronman.config import app_settings from cronman.job import BaseCronJob from cronman.models import Cro...

31.757576

74

0.648378

257

2,096

5.019455

0.392996

0.076744

0.023256

0.031008

0

0.004545

0.265267

2,096

65

75

32.246154

0.833117

0.116889

0

0.055678

0

1

0.086957

false

0

0.195652

0

0.413043

0

null

0

null

0

1

0

6c8301238acf3bc4525ac9e26175e629b0f3e112

2,893

py

Python

day23.py

alexa-infra/advent-of-code-2018

f14e8c87b655c479097ae713572bb0260ec993fc

[ "MIT" ]

null

day23.py

alexa-infra/advent-of-code-2018

f14e8c87b655c479097ae713572bb0260ec993fc

[ "MIT" ]

null

day23.py

alexa-infra/advent-of-code-2018

f14e8c87b655c479097ae713572bb0260ec993fc

[ "MIT" ]

null

import re parse_re = re.compile( r'pos\=\<(?P<x>-?\d+),(?P<y>-?\d+),(?P<z>-?\d+)\>, r\=(?P<r>\d+)' ) def parse(text): m = parse_re.match(text) d = m.groupdict() pos = int(d['x']), int(d['y']), int(d['z']) r = int(d['r']) return pos, r def dist(a, b): return sum(abs(x1-x2) for x1, x2 in zi...

27.037383

69

0.412375

446

2,893

2.652466

0.215247

0.011834

0.01268

0.017751

0.218935

0.148774

0.079459

0

0.063879

0.40477

2,893

106

70

27.292453

0.623113

0

0.113402

0

0.010309

0.123747

0.016592

0

0.020619

1

0.072165

false

0

0.010309

0.123711

0.020619

0

null

0

null

0

1

0

6c85751be92171445c98d3494d9be709e143efc5

1,526

py

Python

examples/intro-example/dags/tutorial.py

rfim/QoalaMoviesKaggle

3cf5486f012487c5585bbe86d3a2bc1c58979bac

[ "MIT" ]

null

examples/intro-example/dags/tutorial.py

rfim/QoalaMoviesKaggle

3cf5486f012487c5585bbe86d3a2bc1c58979bac

[ "MIT" ]

null

examples/intro-example/dags/tutorial.py

rfim/QoalaMoviesKaggle

3cf5486f012487c5585bbe86d3a2bc1c58979bac

[ "MIT" ]

null

tot_name = os.path.join(os.path.dirname(__file__),'src/data', file_name) # open the json datafile and read it in with open(tot_name, 'r') as inputfile: doc = json.load(inputfile) # transform the data to the correct types and convert temp to celsius id_movie = int(doc['id']) movie_name = str(doc['origi...

40.157895

92

0.671035

215

1,526

4.525581

0.418605

0.018499

0.024666

0.028777

0.323741

0.281603

0.178828

0.168551

0

0.004878

0.193971

1,526

37

93

41.243243

0.786179

0.194626

0

0.041667

0.408681

0

1

0

false

0

0.041667

0

null

0

null

0

1

0

6c8601c43b4ff494fe3c99410a606a7250f4d9f9

20,189

py

Python

hclf/multiclass.py

tfmortie/hclf

68bdb61c12c4b8fefbb94f1ac8aa30baed8077c5

[ "MIT" ]

null

hclf/multiclass.py

tfmortie/hclf

68bdb61c12c4b8fefbb94f1ac8aa30baed8077c5

[ "MIT" ]

null

hclf/multiclass.py

tfmortie/hclf

68bdb61c12c4b8fefbb94f1ac8aa30baed8077c5

[ "MIT" ]

null

""" Code for hierarchical multi-class classifiers. Author: Thomas Mortier Date: Feb. 2021 TODO: * Add option for set-valued prediction * Feature: allow tree structures with non-unique node labels (currently, warning is thrown) """ import time import warnings import numpy as np from .utils import HLabelEncod...

42.864119

182

0.553668

2,460

20,189

4.393902

0.14187

0.027385

0.019983

0.007216

0.450365

0.395504

0.369969

0.346933

0.314368

0.301786

0

0.005626

0.357323

20,189

470

183

42.955319

0.827437

0.272871

0

0.392727

0

0.051273

0

0.002128

0

1

0.04

false

0

0.04

0

0.12

0.021818

0

null

0

null

0

1

0

6c86a8871548627b9a0755d57d564bc3d174dbdd

2,649

py

Python

imports/language_check.py

ahmed-amr1/schtabtag

d5f1e550fccaf58cbcf9fac39528b921659cec7c

[ "MIT" ]

null

imports/language_check.py

ahmed-amr1/schtabtag

d5f1e550fccaf58cbcf9fac39528b921659cec7c

[ "MIT" ]

null

imports/language_check.py

ahmed-amr1/schtabtag

d5f1e550fccaf58cbcf9fac39528b921659cec7c

[ "MIT" ]

null

def Check(src): lang = None if src == "auto": lang = "Auto detect language" if src == "en": lang = "English - English" if src == "de": lang = "German - Deutsch" if src == "ar": lang = "Arabic - عربي" if src == "es": lang = "Spanish - español, castellano" if src == "ru": lang = "Ru...

23.442478

42

0.495659

363

2,649

3.666667

0.192837

0.135237

0.036063

0.058603

0.558978

0.204358

0.048084

0

0.309928

2,649

113

43

23.442478

0.718271

0

0.377258

0

1

0.025641

false

0

0.051282

0

null

0

null

0

1

0

6c86adac816e4b256e05f833e885292823f8146c

1,003

py

Python

puppo/decorator_functions/display_decorators.py

JHowell45/Pupper

5c863eba8651a5b1130c04321cc6cefacb71c7b2

[ "MIT" ]

null

puppo/decorator_functions/display_decorators.py

JHowell45/Pupper

5c863eba8651a5b1130c04321cc6cefacb71c7b2

[ "MIT" ]

1

2021-06-01T21:54:15.000Z

puppo/decorator_functions/display_decorators.py

JHowell45/Pupper

5c863eba8651a5b1130c04321cc6cefacb71c7b2

[ "MIT" ]

null

"""Decorator unctions for displaying commands.""" from functools import wraps from shutil import get_terminal_size import click def command_handler(command_title, colour='green'): """Use this decorator for surrounding the functions with banners.""" def decorator(function): """Nested decorator functio...

34.586207

72

0.617149

109

1,003

5.53211

0.422018

0.064677

0.049751

0

0.008

0.252243

1,003

28

73

35.821429

0.796

0.157527

0

0.031553

0

1

0.15

false

0

0.15

0

0.45

0

null

0

null

0

1

0

6c8c154f105569426c30727bc7ab8defbef28f73

1,051

py

Python

scripts/undeploy_service.py

Suremaker/consul-deployment-agent

466c36d3fcb9f8bfa144299dde7cb94f4341907b

[ "Apache-2.0" ]

6

2016-10-10T09:26:07.000Z

2018-09-20T08:59:42.000Z

scripts/undeploy_service.py

Suremaker/consul-deployment-agent

466c36d3fcb9f8bfa144299dde7cb94f4341907b

[ "Apache-2.0" ]

11

2016-10-10T12:11:07.000Z

2018-05-09T22:11:02.000Z

scripts/undeploy_service.py

Suremaker/consul-deployment-agent

466c36d3fcb9f8bfa144299dde7cb94f4341907b

[ "Apache-2.0" ]

16

2016-09-28T16:00:58.000Z

2019-02-25T16:52:12.000Z

#!/usr/bin/env python import argparse import consulate class Options(object): pass options = Options() parser = argparse.ArgumentParser() parser.add_argument('-n', '--name', required=True, help='service name') parser.add_argument('-s', '--slice', help='slice name (optional)') parser.add_argument('-r', '--role',...

30.911765

124

0.713606

140

1,051

5.285714

0.385714

0.048649

0.091892

0.056757

0.208108

0.108108

0

0.007447

0.105614

1,051

33

125

31.848485

0.779787

0.01903

0

0.281553

0.07767

0

1

0

false

0.043478

0.086957

0

0.130435

0.26087

0

null

0

null

0

1

0

6c8e315e18d51be8398247d53085f6019815be6e

2,717

py

Python

tests/functional/conftest.py

charmed-kubernetes/ceph-csi-operator

06a6a9fed6055e3f0e0bfde835d7f607febcf6ea

[ "Apache-2.0" ]

null

tests/functional/conftest.py

charmed-kubernetes/ceph-csi-operator

06a6a9fed6055e3f0e0bfde835d7f607febcf6ea

[ "Apache-2.0" ]

null

tests/functional/conftest.py

charmed-kubernetes/ceph-csi-operator

06a6a9fed6055e3f0e0bfde835d7f607febcf6ea

[ "Apache-2.0" ]

1

2022-03-24T19:17:47.000Z

# Copyright 2021 Martin Kalcok # See LICENSE file for licensing details. """Pytest fixtures for functional tests.""" # pylint: disable=W0621 import logging import tempfile from pathlib import Path import pytest from kubernetes import client, config from pytest_operator.plugin import OpsTest logger = logging.getLogg...

36.226667

98

0.670593

344

2,717

5.104651

0.392442

0.051253

0.023918

0.014806

0.142369

0.085421

0

0.010572

0.234082

2,717

74

99

36.716216

0.833253

0.104527

0

0.163265

0

0.105551

0.019108

0

0.020408

1

0.020408

false

0

0.122449

0

0.163265

0

null

0

null

0

1

0

6657771a019db8ff3764b551b4d27a9c8de3eee0

3,922

py

Python

caronte/allauth/utils.py

simodalla/django-caronte

e47175849605924c26441c3a3d6d94f4340b9df7

[ "BSD-3-Clause" ]

null

caronte/allauth/utils.py

simodalla/django-caronte

e47175849605924c26441c3a3d6d94f4340b9df7

[ "BSD-3-Clause" ]

null

caronte/allauth/utils.py

simodalla/django-caronte

e47175849605924c26441c3a3d6d94f4340b9df7

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals, absolute_import from django.contrib.auth import get_user_model from django.contrib.admin.templatetags.admin_urls import admin_urlname from django.core.mail import mail_admins from django.core.urlresolvers import reverse from django.shortcuts import redir...

35.017857

79

0.624936

418

3,922

5.665072

0.289474

0.054054

0.02027

0.022804

0.182432

0.142736

0

0.000718

0.289648

3,922

112

80

35.017857

0.849246

0.027027

0

0.255556

0

0.063672

0.030383

0

1

0.122222

false

0.011111

0.111111

0.011111

0.366667

0

null

0

null

0

1

0

665885ddd8b1d1e99097726c1613e0a5986ad3d5

15,918

py

Python

Task/data.py

sndnyang/GMMC

e9cd85c9d55a7de411daad490c8db84dfe9c0455

[ "Apache-2.0" ]

4

2021-05-09T16:00:12.000Z

2021-12-16T12:31:25.000Z

Task/data.py

sndnyang/GMMC

e9cd85c9d55a7de411daad490c8db84dfe9c0455

[ "Apache-2.0" ]

null

Task/data.py

sndnyang/GMMC

e9cd85c9d55a7de411daad490c8db84dfe9c0455

[ "Apache-2.0" ]

null

from tensorflow.python.platform import flags from tensorflow.contrib.data.python.ops import batching import tensorflow as tf import json from torch.utils.data import Dataset import pickle import os.path as osp import os import numpy as np import time from scipy.misc import imread, imresize from torchvision.datasets imp...

33.441176

102

0.537379

1,982

15,918

4.168012

0.12109

0.035952

0.018642

0.028326

0.581165

0.548602

0.515555

0.475245

0.434814

0.403462

0

0.040527

0.32724

15,918

475

103

33.511579

0.730881

0.038824

0

0.479893

0

0.078302

0.011709

0

1

0.069705

false

0

0.040214

0.018767

0.184987

0.002681

0

null

0

null

0

1

0

66595693a0bfed64682ff38551b196526a22e500

981

py

Python

Collection/ms/01 Arrays/07_valid_paranthesis.py

kmanadkat/leetcode-101

8a9db22d98692d634a497ba76c7e9f792bb1f1bc

[ "MIT" ]

null

Collection/ms/01 Arrays/07_valid_paranthesis.py

kmanadkat/leetcode-101

8a9db22d98692d634a497ba76c7e9f792bb1f1bc

[ "MIT" ]

null

Collection/ms/01 Arrays/07_valid_paranthesis.py

kmanadkat/leetcode-101

8a9db22d98692d634a497ba76c7e9f792bb1f1bc

[ "MIT" ]

1

2021-09-15T11:17:36.000Z

class Solution: def isValid(self, s: str) -> bool: # String should have even length if len(s) % 2 != 0: return False # Use list as Stack DS bracStack = [] # If Bracket open add in Stack else Pop & Check for ele in s: if ele in ['(', '{', '[']...

29.727273

86

0.459735

100

981

4.51

0.49

0.121951

0.119734

0.159645

0.210643

0

0.009058

0.437309

981

32

87

30.65625

0.807971

0.204893

0

0.263158

0

0.015504

0

1

0.052632

false

0

0.421053

0

null

0

null

0

1

0

665bab55df7c6bcde1b85c9c43014205b79501eb

2,984

py

Python

pybf/image_settings.py

Sergio5714/pybf

bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc

[ "Apache-2.0" ]

1

2021-11-02T09:54:41.000Z

pybf/image_settings.py

Sergio5714/pybf

bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc

[ "Apache-2.0" ]

null

pybf/image_settings.py

Sergio5714/pybf

bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc

[ "Apache-2.0" ]

2

2020-04-17T10:50:06.000Z

2021-11-02T09:54:47.000Z

""" Copyright (C) 2020 ETH Zurich. All rights reserved. Author: Sergei Vostrikov, ETH Zurich 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/LI...

31.410526

101

0.655831

438

2,984

4.086758

0.296804

0.12067

0.094413

0.054749

0.212849

0.163128

0.139106

0.050279

0

0.016136

0.273123

2,984

95

102

31.410526

0.809129

0.282172

0

0.108696

0

0.020048

0

1

0.086957

false

0

0.021739

0

0.217391

0.021739

0

null

0

null

0

1

0

665e40e33fdd973b30b29de0d4999dd092a29402

681

py

Python

calc.py

fja05680/calc

6959bdd740722c7e3024f4e5a9a21607ad5ffccf

[ "MIT" ]

null

calc.py

fja05680/calc

6959bdd740722c7e3024f4e5a9a21607ad5ffccf

[ "MIT" ]

null

calc.py

fja05680/calc

6959bdd740722c7e3024f4e5a9a21607ad5ffccf

[ "MIT" ]

null

#!/usr/bin/python3 import calc def main(): try: while True: try: expression = input('calc> ') # Parse the expression. lexer = calc.Lexer(expression) tokens = lexer.parse() print(tokens) parser = ca...

23.482759

46

0.444934

58

681

5.086207

0.5

0.088136

0

0.00271

0.45815

681

28

47

24.321429

0.796748

0.093979

0

0.1

0

0.04886

0

1

0.05

false

0

0.05

0

0.1

0.2

0

null

0

null

0

1

0

666446282fcb45a4a20b926c54fc47be65a01ac8

8,534

py

Python

aiida_environ/workflows/pw/grandcanonical.py

environ-developers/aiida-environ

c39ac70227a41e084b74df630c3cb4b4caa27094

[ "MIT" ]

null

aiida_environ/workflows/pw/grandcanonical.py

environ-developers/aiida-environ

c39ac70227a41e084b74df630c3cb4b4caa27094

[ "MIT" ]

1

2021-12-07T17:03:44.000Z

aiida_environ/workflows/pw/grandcanonical.py

environ-developers/aiida-environ

c39ac70227a41e084b74df630c3cb4b4caa27094

[ "MIT" ]

null

import numpy as np from aiida.common import AttributeDict from aiida.engine import WorkChain, append_ from aiida.orm import Dict, List, StructureData from aiida.orm.nodes.data.upf import get_pseudos_from_structure from aiida.orm.utils import load_node from aiida.plugins import WorkflowFactory from aiida_quantumespresso...

44.915789

88

0.664284

923

8,534

5.937161

0.192849

0.031934

0.052555

0.036496

0.511679

0.408029

0.353832

0.341423

0.239051

0

0.005537

0.238106

8,534

189

89

45.153439

0.837281

0.033747

0

0.275

0

0.12714

0.032058

0

0.005291

0

1

0.03125

false

0

0.08125

0

0.11875

0

null

0

null

0

1

0

6664aaeb4a16b83003b59cd285e9bdc4f631fdb5

6,481

py

Python

tabnet/utils.py

huangyz0918/tabnet

a93d52c6f33e9ea8ad0f152cdaf5a0cabec8e6d4

[ "MIT" ]

1

2021-06-17T04:47:41.000Z

tabnet/utils.py

huangyz0918/tabnet

a93d52c6f33e9ea8ad0f152cdaf5a0cabec8e6d4

[ "MIT" ]

null

tabnet/utils.py

huangyz0918/tabnet

a93d52c6f33e9ea8ad0f152cdaf5a0cabec8e6d4

[ "MIT" ]

null

import torch import numpy as np import pandas as pd from collections import OrderedDict class TrainingDataset(torch.utils.data.Dataset): is_categorical = False def __init__( self, X, y, output_mapping=None, categorical_mapping=None, columns=None, device...

33.755208

91

0.577843

779

6,481

4.620026

0.183569

0.01945

0.026674

0.025007

0.500417

0.440122

0.428452

0.413448

0

0.011677

0.299645

6,481

191

92

33.931937

0.781229

0.043358

0

0.394737

0

0.023331

0

1

0.092105

false

0

0.026316

0.230263

0

null

0

null

0

1

0

66654d5cfc565e697020cd64524f69662efe7ca5

312

py

Python

urls.py

stephenmcd/gamblor

a12f43339e2a6d34e4ed5ea3d02a3629ed5b8616

[ "BSD-2-Clause" ]

12

2015-06-09T02:31:43.000Z

2021-12-11T21:35:38.000Z

urls.py

binarygrrl/gamblor

a12f43339e2a6d34e4ed5ea3d02a3629ed5b8616

[ "BSD-2-Clause" ]

null

urls.py

binarygrrl/gamblor

a12f43339e2a6d34e4ed5ea3d02a3629ed5b8616

[ "BSD-2-Clause" ]

9

2016-11-14T23:56:51.000Z

2021-04-14T07:47:44.000Z

from django.conf.urls.defaults import patterns, include, url from django.contrib import admin from core import game admin.autodiscover() game.autodiscover() urlpatterns = patterns("", ("^admin/", include(admin.site.urls)), url("", include("social_auth.urls")), url("", include("core.urls")), )

18.352941

60

0.692308

38

312

5.657895

0.473684

0.093023

0.130233

0

0.141026

312

16

61

19.5

0.802239

0

0.102894

0

1

0

false

0

0.3

0

0.3

0

null

0

null

0

1

0

666552755de681921ce121bf7878b38237804c08

3,258

py

Python

DCGAN/train.py

drone911/Mnist-GANs

6b5ffc6ecf5070522ebcb6a41374cfffd674b684

[ "MIT" ]

null

DCGAN/train.py

drone911/Mnist-GANs

6b5ffc6ecf5070522ebcb6a41374cfffd674b684

[ "MIT" ]

null

DCGAN/train.py

drone911/Mnist-GANs

6b5ffc6ecf5070522ebcb6a41374cfffd674b684

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Sep 13 20:11:22 2019 @author: drone911 """ from helper import * from models import * import numpy as np from keras.datasets import mnist from tqdm import tqdm import warnings def train(train_images, generator, discriminator, gan, num_classes=120, random_dim=128, epochs=100,...

41.240506

116

0.612339

430

3,258

4.32093

0.276744

0.082885

0.034446

0.038751

0.248654

0.191604

0.123789

0.061356

0.047363

0

0.037338

0.243708

3,258

78

117

41.769231

0.716721

0.023634

0

0.033898

0

0.07879

0.051371

0

1

0.016949

false

0

0.101695

0

0.118644

0.084746

0

null

0

null

0

1

0

6667684709a7e3192cfea4fd79e3ee7e997e694d

2,418

py

Python

Model/predictor-dl-model/tests/experiments/7day_variance_uckey_weight_in_slotid.py

rangaswamymr/blue-marlin

2ab39a6af01e14f40386f640fe087aeb284b5524

[ "Apache-2.0" ]

null

Model/predictor-dl-model/tests/experiments/7day_variance_uckey_weight_in_slotid.py

rangaswamymr/blue-marlin

2ab39a6af01e14f40386f640fe087aeb284b5524

[ "Apache-2.0" ]

null

Model/predictor-dl-model/tests/experiments/7day_variance_uckey_weight_in_slotid.py

rangaswamymr/blue-marlin

2ab39a6af01e14f40386f640fe087aeb284b5524

[ "Apache-2.0" ]

null

from pyspark import SparkContext, SparkConf, SQLContext from pyspark.sql.functions import count, lit, col, udf, expr, collect_list, explode from pyspark.sql.types import IntegerType, StringType, MapType, ArrayType, BooleanType, FloatType from pyspark.sql import HiveContext from datetime import datetime, timedelta from ...

37.78125

158

0.706369

377

2,418

4.34748

0.278515

0.060403

0.034167

0.028066

0.118365

0.082977

0.058572

0

0.040414

0.119934

2,418

63

159

38.380952

0.729793

0.013234

0

0.023256

0.177013

0.047399

0

1

0.069767

false

0

0.139535

0

0.27907

0.023256

0

null

0

null

0

1

0

66698ee5453f94b084a237ee9ea9e607d1b0395c

9,922

py

Python

main_fed.py

berserkersss/FL_CNN_Diff_Acc

f78651b426ff700108b62f2afbd99134b30af1e6

[ "MIT" ]

null

main_fed.py

berserkersss/FL_CNN_Diff_Acc

f78651b426ff700108b62f2afbd99134b30af1e6

[ "MIT" ]

null

main_fed.py

berserkersss/FL_CNN_Diff_Acc

f78651b426ff700108b62f2afbd99134b30af1e6

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Python version: 3.6 import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import copy import numpy as np from torchvision import datasets, transforms import torch import math from utils.sampling import mnist_iid, mnist_noniid, cifar_iid from utils.opti...

36.884758

141

0.651078

1,469

9,922

4.121852

0.167461

0.024277

0.013377

0.013873

0.402312

0.329315

0.252519

0.196862

0.163501

0.144674

0

0.016144

0.213364

9,922

268

142

37.022388

0.759641

0.089397

0

0.192893

0

0.078268

0.003674

0

1

0

false

0

0.071066

0

0.071066

0.055838

0

null

0

null

0

1

0

6670c507913d776c7f3759690ef2c0ab2aa02880

591

py

Python

ex078.py

raquelEllem/exerciciosPython

489c2360de84c69dbe9da7710660fb064cd605fa

[ "MIT" ]

null

ex078.py

raquelEllem/exerciciosPython

489c2360de84c69dbe9da7710660fb064cd605fa

[ "MIT" ]

null

ex078.py

raquelEllem/exerciciosPython

489c2360de84c69dbe9da7710660fb064cd605fa

[ "MIT" ]

null

lista = [] for n in range(0, 5): lista.append(int(input(f'Digite um valor para a posição {n}: '))) print('=-=' * 10) print(f'Você digitou os valores {lista}') maior = lista[0] menor = lista[0] for n in lista: if maior < n: maior = n if menor > n: menor = n print(f'O maior valor digitado foi...

26.863636

69

0.575296

97

591

3.505155

0.360825

0.088235

0.035294

0.1

0.223529

0

0.013393

0.241963

591

22

70

26.863636

0.745536

0

0.190476

0

0.300676

0

1

0

false

0

0.333333

0

null

0

null

0

1

0

6674228e20201842275a8416c646d65895ba336f

6,461

py

Python

chb/x86/opcodes/X86RotateLeftCF.py

kestreltechnology/CodeHawk-Binary

aa0b2534e0318e5fb3770ec7b4d78feb0feb2394

[ "MIT" ]

null

chb/x86/opcodes/X86RotateLeftCF.py

kestreltechnology/CodeHawk-Binary

aa0b2534e0318e5fb3770ec7b4d78feb0feb2394

[ "MIT" ]

null

chb/x86/opcodes/X86RotateLeftCF.py

kestreltechnology/CodeHawk-Binary

aa0b2534e0318e5fb3770ec7b4d78feb0feb2394

[ "MIT" ]

null

# ------------------------------------------------------------------------------ # CodeHawk Binary Analyzer # Author: Henny Sipma # ------------------------------------------------------------------------------ # The MIT License (MIT) # # Copyright (c) 2016-2020 Kestrel Technology LLC # Copyright (c) 2020 Henny Si...

40.130435

80

0.629005

829

6,461

4.864897

0.332931

0.015621

0.012398

0.015621

0.048599

0.024795

0

0.024113

0.236186

6,461

160

81

40.38125

0.79311

0.531806

0

0.048387

0

0.021717

0

1

0.129032

false

0

0.209677

0.080645

0.451613

0

null

0

null

0

1

0

667689203557923536a76893ffda9eef2e58e85a

2,135

py

Python

test_challenges.py

UPstartDeveloper/Graph-Applications

45a3fa83f9e3fff243be35dd169edfcfd020f1a1

[ "MIT" ]

null

test_challenges.py

UPstartDeveloper/Graph-Applications

45a3fa83f9e3fff243be35dd169edfcfd020f1a1

[ "MIT" ]

null

test_challenges.py

UPstartDeveloper/Graph-Applications

45a3fa83f9e3fff243be35dd169edfcfd020f1a1

[ "MIT" ]

null

import challenges import unittest class RottingOrangesTests(unittest.TestCase): def test_time_to_rot(self): """ Graph BFS problem. Tells the time taken for oranges to all rot. Test cases from LeetCode. """ # Test Cases oranges1 = [ [2,1,1], [1...

26.6875

79

0.516628

261

2,135

4.111111

0.325671

0.033551

0.036347

0.033551

0.136999

0.091333

0.024231

0.014911

0

0.075199

0.352225

2,135

80

26.6875

0.700651

0.158782

0

0.098039

0

0.018835

0

0.156863

1

0.078431

false

0

0.039216

0

0.196078

0

null

0

null

0

1

0

66769c379769d62d8db4f6ca3c7ed84d674f3460

1,293

py

Python

2020-08-month-long-challenge/day06.py

jkbockstael/leetcode

8ef5c907fb153c37dc97f6524493ceca2044ea38

[ "Unlicense" ]

null

2020-08-month-long-challenge/day06.py

jkbockstael/leetcode

8ef5c907fb153c37dc97f6524493ceca2044ea38

[ "Unlicense" ]

null

2020-08-month-long-challenge/day06.py

jkbockstael/leetcode

8ef5c907fb153c37dc97f6524493ceca2044ea38

[ "Unlicense" ]

null

#!/usr/bin/env python3 # Day 6: Find All Duplicates in an Array # # Given an array of integers, 1 ≤ a[i] ≤ n (n = size of array), some elements # appear twice and others appear once. # Find all the elements that appear twice in this array. # Could you do it without extra space and in O(n) runtime? class Solution: ...

40.40625

79

0.608662

207

1,293

3.826087

0.512077

0.010101

0.022727

0

0.021372

0.312452

1,293

31

80

41.709677

0.863892

0.600928

0

0.083333

1

0.083333

false

0

0.25

0

null

0

null

0

1

0

6683c0d1956dae22490efd4a21cbb16c9e118a7c

339

py

Python

tf_prac.py

akapoorx00/machinelearning-stuff

53184019b77d3387fd15b13d3bfa75529b8ed003

[ "Apache-2.0" ]

null

tf_prac.py

akapoorx00/machinelearning-stuff

53184019b77d3387fd15b13d3bfa75529b8ed003

[ "Apache-2.0" ]

null

tf_prac.py

akapoorx00/machinelearning-stuff

53184019b77d3387fd15b13d3bfa75529b8ed003

[ "Apache-2.0" ]

null

import tensorflow as tf x = tf.constant(35, name='x') print(x) y = tf.Variable(x+5, name='y') with tf.Session() as session: merged = tf.summary.merge_all() writer = tf.summary.FileWriter("output", session.graph) model = tf.global_variables_initializer() session.run(model) print (session.run(y)) ...

21.1875

59

0.672566

50

339

4.5

0.56

0.08

0

0.010714

0.174041

339

15

60

22.6

0.792857

0

0.023669

0

1

0

false

0

0.090909

0

0.090909

0.181818

0

null

0

null

0

1

0

668cea27bdbc4f6209d2380260dbf5312ca4bad1

2,944

py

Python

Dorta/sales_modification/wizard/sale_order_popup.py

aaparicio87/Odoo12

25cfc349b2e85fa1b5f5846ffe693029f77b3b7d

[ "MIT" ]

null

Dorta/sales_modification/wizard/sale_order_popup.py

aaparicio87/Odoo12

25cfc349b2e85fa1b5f5846ffe693029f77b3b7d

[ "MIT" ]

null

Dorta/sales_modification/wizard/sale_order_popup.py

aaparicio87/Odoo12

25cfc349b2e85fa1b5f5846ffe693029f77b3b7d

[ "MIT" ]

null

from odoo import fields, models, api, _ from odoo.exceptions import UserError class SaleOrderPopup(models.TransientModel): _name = 'sale.order.popup' @api.multi def popup_button(self): for rec in self.env['sale.order'].browse(self._context.get('active_id')): if rec._get_forbidden_stat...

42.057143

116

0.567935

326

2,944

4.846626

0.361963

0.044304

0.027848

0.024684

0.144304

0.110127

0.070886

0

0.001986

0.315897

2,944

70

117

42.057143

0.782522

0

0.16129

0

0.216299

0.051613

0

1

0.032258

false

0

0.032258

0

0.177419

0

null

0

null

0

1

0

668da6a3dfe98b38ca927b8c9945a7980761c6b8

830

py

Python

tyson-py/udp-echo.py

asheraryam/tyson

44317a4e3367ef4958c3bb8d3ad538a3908a4566

[ "MIT" ]

null

tyson-py/udp-echo.py

asheraryam/tyson

44317a4e3367ef4958c3bb8d3ad538a3908a4566

[ "MIT" ]

null

tyson-py/udp-echo.py

asheraryam/tyson

44317a4e3367ef4958c3bb8d3ad538a3908a4566

[ "MIT" ]

null

"""UDP hole punching server.""" from twisted.internet.protocol import DatagramProtocol from twisted.internet import reactor import sys DEFAULT_PORT = 4000 class ServerProtocol(DatagramProtocol): def datagramReceived(self, datagram, address): """Handle incoming datagram messages.""" print(datagram...

28.62069

73

0.631325

100

830

5.11

0.61

0.043053

0.074364

0

0.017378

0.237349

830

29

74

28.62069

0.789889

0.16747

0

0.070692

0

1

0.052632

false

0

0.157895

0

0.263158

0.157895

0

null

0

null

0

1

0

668e417b3a6306ecd6bbd0fcf013eefd855c3921

12,972

py

Python

src/fhir_types/FHIR_StructureMap_Source.py

anthem-ai/fhir-types

42348655fb3a9b3f131b911d6bc0782da8c14ce4

[ "Apache-2.0" ]

2

2022-02-03T00:51:30.000Z

2022-02-03T18:42:43.000Z

src/fhir_types/FHIR_StructureMap_Source.py

anthem-ai/fhir-types

42348655fb3a9b3f131b911d6bc0782da8c14ce4

[ "Apache-2.0" ]

null

src/fhir_types/FHIR_StructureMap_Source.py

anthem-ai/fhir-types

42348655fb3a9b3f131b911d6bc0782da8c14ce4

[ "Apache-2.0" ]

null

from typing import Any, List, Literal, TypedDict from .FHIR_Address import FHIR_Address from .FHIR_Age import FHIR_Age from .FHIR_Annotation import FHIR_Annotation from .FHIR_Attachment import FHIR_Attachment from .FHIR_CodeableConcept import FHIR_CodeableConcept from .FHIR_Coding import FHIR_Coding from .FHIR_Contact...

56.4

836

0.712458

1,657

12,972

5.471334

0.145444

0.041694

0.044121

0.060666

0.402603

0.392897

0

0.000709

0.238822

12,972

229

837

56.646288

0.91746

0.503315

0

0.252008

0.104426

0

1

0

false

0

0.268657

0

0.268657

0

null

0

null

0

1

0

668f3e390bdd48e5a8dc955598a92ec70a35392d

2,484

py

Python

ip/ip/ecommerce/views.py

SuryaVamsiKrishna/Inner-Pieces

deb9e83af891dac58966230446a5a32fe10e86f2

[ "MIT" ]

1

2021-02-17T06:06:50.000Z

ip/ip/ecommerce/views.py

SuryaVamsiKrishna/Inner-Pieces

deb9e83af891dac58966230446a5a32fe10e86f2

[ "MIT" ]

null

ip/ip/ecommerce/views.py

SuryaVamsiKrishna/Inner-Pieces

deb9e83af891dac58966230446a5a32fe10e86f2

[ "MIT" ]

null

from django.shortcuts import render from django.contrib.auth.decorators import login_required from .models import * from .forms import address_form from django.http import JsonResponse from .utils import cartData,guestobj import json,datetime def store(request): items = item.objects.all() data = cartData(reque...

28.883721

84

0.67029

298

2,484

5.47651

0.271812

0.088235

0.052083

0.036765

0.377451

0.348039

0.278799

0.251225

0

0.001513

0.201691

2,484

86

85

28.883721

0.821483

0

0.276923

0

0.109054

0

1

0.076923

false

0

0.107692

0

0.261538

0

null

0

null

0

1

0

66941e3ed65b1efe5312473285b552d665a56ecc

29,897

py

Python

lpjguesstools/lgt_createinput/main.py

lukasbaumbach/lpjguesstools

f7cc14c2931b4ac9a3b8dddc89c469b8fedd42e3

[ "BSD-3-Clause" ]

2

2020-08-03T11:33:00.000Z

2021-07-05T21:00:46.000Z

lpjguesstools/lgt_createinput/main.py

lukasbaumbach/lpjguesstools

f7cc14c2931b4ac9a3b8dddc89c469b8fedd42e3

[ "BSD-3-Clause" ]

8

2020-08-03T12:45:31.000Z

2021-02-23T19:51:32.000Z

lpjguesstools/lgt_createinput/main.py

lukasbaumbach/lpjguesstools

f7cc14c2931b4ac9a3b8dddc89c469b8fedd42e3

[ "BSD-3-Clause" ]

2

2020-08-03T12:11:43.000Z

2022-01-29T10:59:00.000Z

"""FILE lgt_createinput.main.py This script creates condensed LPJ netcdf files for landforms and soil properties landforms.nc: - lfcnt (landid) number of landforms in cell - frac (landid, lfid/ standid) area fraction this landform represents - slope (landid, lfid/ standid) - elevation (landid, lfid/ standid) avg...

36.282767

135

0.596247

4,142

29,897

4.104056

0.138098

0.014589

0.010589

0.013001

0.259133

0.164245

0.128949

0.109771

0.084476

0.065651

0

0.015101

0.271265

29,897

823

136

36.326853

0.765135

0.155835

0

0.179389

0

0.104742

0.003595

0

0.00243

0

1

0.043893

false

0.001908

0.030534

0

0.124046

0.009542

0

null

0

null

0

1

0

66942000229050463aff5906c4c70265c74740a1

4,379

py

Python

html_parsing/www_dns_shop_ru/check_update_price_date__QWebEnginePage_bs4.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

117

2015-12-18T07:18:27.000Z

2022-03-28T00:25:54.000Z

html_parsing/www_dns_shop_ru/check_update_price_date__QWebEnginePage_bs4.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

8

2018-10-03T09:38:46.000Z

2021-12-13T19:51:09.000Z

html_parsing/www_dns_shop_ru/check_update_price_date__QWebEnginePage_bs4.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

28

2016-08-02T17:43:47.000Z

2022-03-21T08:31:12.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = 'ipetrash' """Скрипт проверяет дату обновления прайса на сайте http://www.dns-shop.ru/""" # # Основа взята из http://stackoverflow.com/a/37755811/5909792 # def get_html(url, check_content_func=None): # # from PyQt5.QtCore import QUrl # # from PyQt...

26.70122

78

0.58575

503

4,379

4.952286

0.308151

0.04175

0.017664

0.016861

0.431152

0.354075

0.307507

0

0.017425

0.292304

4,379

163

79

26.865031

0.786383

0.633021

0

0.057143

0

0.076596

0.030496

0

1

0.028571

false

0

0.228571

0

0.314286

0.028571

0

null

0

null

0

1

0

6696f698bff747564601f269987739a28d5abfe1

12,918

py

Python

tests/test_adapters.py

Shelestova-Anastasia/cutadapt

6e239b3b8e20d17fdec041dc1d967ec2a3cfe770

[ "MIT" ]

null

tests/test_adapters.py

Shelestova-Anastasia/cutadapt

6e239b3b8e20d17fdec041dc1d967ec2a3cfe770

[ "MIT" ]

null

tests/test_adapters.py

Shelestova-Anastasia/cutadapt

6e239b3b8e20d17fdec041dc1d967ec2a3cfe770

[ "MIT" ]

null

import pytest from dnaio import Sequence from cutadapt.adapters import ( RemoveAfterMatch, RemoveBeforeMatch, FrontAdapter, BackAdapter, PrefixAdapter, SuffixAdapter, LinkedAdapter, MultipleAdapters, IndexedPrefixAdapters, IndexedSuffixAdapters, ) def test_back_adapter_absolut...

27.780645

88

0.618517

1,562

12,918

4.941741

0.179898

0.025392

0.019433

0.0114

0.432439

0.389558

0.350564

0.283716

0.269335

0.249126

0

0.040202

0.264437

12,918

464

89

27.840517

0.772153

0.06967

0

0.402817

0

0.059459

0.008053

0

0.180282

1

0.078873

false

0

0.008451

0

0.087324

0

null

0

null

0

1

0

66992cf30daf9b3de5a678f20db0b9dc5b3fafdf

7,561

py

Python

archABM/event_model.py

vishalbelsare/ArchABM

4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873

[ "MIT" ]

8

2021-07-19T11:54:00.000Z

2022-03-29T01:45:07.000Z

archABM/event_model.py

vishalbelsare/ArchABM

4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873

[ "MIT" ]

null

archABM/event_model.py

vishalbelsare/ArchABM

4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873

[ "MIT" ]

1

2021-08-19T23:56:56.000Z

import copy import random from .parameters import Parameters class EventModel: """Defines an event model, also called "activity" An event model is defined by these parameters: * Activity name: :obj:`str` * Schedule: :obj:`list` of :obj:`tuple` (in minutes :obj:`int`) * Repetitions range: min...

33.455752

112

0.547943

947

7,561

4.341077

0.232313

0.043785

0.046704

0.036974

0.35782

0.314522

0.252493

0.239358

0.164437

0.123571

0

0.022554

0.308028

7,561

225

113

33.604444

0.763188

0.578098

0

0.25

0

0.008889

0

1

0.152778

false

0

0.041667

0

0.430556

0

null

0

null

0

1

0

669c4ded1d39066ae7e38bea807e79c4ad3272ab

2,764

py

Python

parse_json_script/lib_parse_json.py

amane-uehara/fitbit-fetcher

2a949016933dbcac5f949c8b552c7998b2aadd8c

[ "MIT" ]

null

parse_json_script/lib_parse_json.py

amane-uehara/fitbit-fetcher

2a949016933dbcac5f949c8b552c7998b2aadd8c

[ "MIT" ]

null

parse_json_script/lib_parse_json.py

amane-uehara/fitbit-fetcher

2a949016933dbcac5f949c8b552c7998b2aadd8c

[ "MIT" ]

null

import os import sys import json def detail_base_item_list(): return [ 'distance', 'elevation', 'floors', 'heart', 'minutesFairlyActive', 'minutesLightlyActive', 'minutesSedentary', 'minutesVeryActive', 'steps' ] def read_json_file(filename): if not os.path.isfile(filename):...

23.827586

102

0.599132

378

2,764

4.269841

0.240741

0.02974

0.037175

0.325898

0.255266

0.23544

0.140025

0.094176

0

0.018131

0.22178

2,764

115

103

24.034783

0.732218

0.004703

0

0.255814

0

0.166606

0

1

0.081395

false

0

0.034884

0.011628

0.197674

0

null

0

null

0

1

0

669d3d5f4966f2fc9848beb0d7bd023a928904e0

4,251

py

Python

utils/tfds_preprocess.py

chansoopark98/tf_keras-Unknown-grasping

be0f68280ba0b293940a08732fd4a31e89a272cd

[ "MIT" ]

null

utils/tfds_preprocess.py

chansoopark98/tf_keras-Unknown-grasping

be0f68280ba0b293940a08732fd4a31e89a272cd

[ "MIT" ]

null

utils/tfds_preprocess.py

chansoopark98/tf_keras-Unknown-grasping

be0f68280ba0b293940a08732fd4a31e89a272cd

[ "MIT" ]

null

import tensorflow as tf import tensorflow_datasets as tfds import numpy as np import random from utils.dataset_processing import grasp, image import matplotlib.pyplot as plt dataset_path = './tfds/' train_data, meta = tfds.load('Jacquard', split='train', with_info=True, shuffle_files=False) BATCH_SIZE = 1 number_trai...

26.735849

139

0.604799

623

4,251

3.895666

0.216693

0.046148

0.053564

0.070045

0.254223

0.196951

0.153688

0.117841

0.073754

0.045735

0

0.03432

0.252882

4,251

159

140

26.735849

0.729849

0.256881

0

0.037975

0

0.026906

0

1

0.025316

false

0

0.075949

0

0.126582

0

null

0

null

0

1

0

669ffe2b5e6215275de00b66a4a28e352cc9a091

2,063

py

Python

ch16_ex.py

DexHunter/Think-Python-book-exercise-solutions

d0abae261eda1dca99043e17e8a1e614caad2140

[ "CC-BY-4.0" ]

24

2019-05-07T15:11:28.000Z

2022-03-02T04:50:28.000Z

ch16_ex.py

Dekzu/Think-Python-book-exercise-solutions

d0abae261eda1dca99043e17e8a1e614caad2140

[ "CC-BY-4.0" ]

null

ch16_ex.py

Dekzu/Think-Python-book-exercise-solutions

d0abae261eda1dca99043e17e8a1e614caad2140

[ "CC-BY-4.0" ]

19

2019-08-05T20:59:04.000Z

2022-03-07T05:13:32.000Z

class Time: '''Represents the time of day. attributes: hour, minute, second ''' def print_time(t): print ('(%.2d:%.2d:%.2d)' % (t.hour, t.minute, t.second)) def is_after(t1, t2): return (t1.hour, t1.minute, t1.second) > (t2.hour, t2.minute, t2.second) def mul_time(t, n): '''Multiple time t by n n: int ...

20.838384

248

0.652448

344

2,063

3.825581

0.296512

0.022796

0.015198

0.021277

0.042553

0

0.040398

0.220068

2,063

99

249

20.838384

0.777502

0.27872

0

0.016795

0

1

0.122807

false

0

0.017544

0.245614

0.105263

0

null

0

null

0

1

0

66a1405cb275e20463fb6f972194333959f1c8d7

1,449

py

Python

src/DataParser/odmdata/variable.py

UCHIC/iUTAHData

4ffab29ad6b3313416bb2a8b98acf0b2e02c8cab

[ "Unlicense" ]

2

2015-02-25T01:12:51.000Z

2017-02-08T22:54:41.000Z

src/DataParser/odmdata/variable.py

UCHIC/iUTAHData

4ffab29ad6b3313416bb2a8b98acf0b2e02c8cab

[ "Unlicense" ]

48

2015-01-12T18:01:56.000Z

2021-06-10T20:05:26.000Z

src/DataParser/odmdata/variable.py

UCHIC/iUTAHData

4ffab29ad6b3313416bb2a8b98acf0b2e02c8cab

[ "Unlicense" ]

null

from sqlalchemy import * from sqlalchemy.orm import relationship from base import Base from unit import Unit class Variable(Base): __tablename__ = 'Variables' id = Column('VariableID', Integer, primary_key=True) code = Column('VariableCode', String(255), nullable=False) name = Column('VariableName',...

45.28125

102

0.718427

170

1,449

5.964706

0.382353

0.153846

0.117357

0.151874

0.171598

0.088757

0

0.016949

0.144928

1,449

31

103

46.741935

0.801453

0.046929

0

0.197388

0.046444

0

1

0.041667

false

0

0.166667

0.041667

0.958333

0

null

0

null

0

1

0

66a4535ff16536c58c62bd0252d04c6087d6613d

7,751

py

Python

pandas/pandastypes.py

pyxll/pyxll-examples

e8a1cba1ffdb346191f0c80bea6877cbe0291957

[ "Unlicense" ]

93

2015-04-27T14:44:02.000Z

2022-03-03T13:14:49.000Z

pandas/pandastypes.py

samuelpedrini/pyxll-examples

ce7f839b4ff4f4032b78dffff2357f3feaadc3a1

[ "Unlicense" ]

4

2019-12-13T11:32:17.000Z

2022-03-03T14:07:02.000Z

pandas/pandastypes.py

samuelpedrini/pyxll-examples

ce7f839b4ff4f4032b78dffff2357f3feaadc3a1

[ "Unlicense" ]

53

2015-04-27T14:44:14.000Z

2022-01-23T05:26:52.000Z

""" Custom excel types for pandas objects (eg dataframes). For information about custom types in PyXLL see: https://www.pyxll.com/docs/udfs.html#custom-types For information about pandas see: http://pandas.pydata.org/ Including this module in your pyxll config adds the following custom types that can be used as retu...

31.897119

95

0.632047

1,134

7,751

4.237213

0.193122

0.03205

0.016025

0.027471

0.418522

0.387305

0.365661

0.334235

0.288866

0

0.010513

0.263708

7,751

242

96

32.028926

0.831435

0.338021

0

0.362903

0

0.059713

0

1

0.080645

false

0

0.056452

0

0.282258

0

null

0

null

0

1

0

66a463bd296e2375b0d9a6abd3ff5e747d929dcd

10,912

py

Python

liveDataApp/views.py

subahanii/COVID19-tracker

b7d30ff996974755e78393f0777d6cf623c4d654

[ "MIT" ]

7

2020-04-28T12:34:42.000Z

2021-05-17T06:20:51.000Z

liveDataApp/views.py

subahanii/COVID19-tracker

b7d30ff996974755e78393f0777d6cf623c4d654

[ "MIT" ]

1

2020-07-09T18:17:32.000Z

2020-07-10T13:56:01.000Z

liveDataApp/views.py

subahanii/COVID19-tracker

b7d30ff996974755e78393f0777d6cf623c4d654

[ "MIT" ]

null

from django.shortcuts import render import requests from bs4 import BeautifulSoup import re from collections import defaultdict as dfd from .models import * from datetime import date from datetime import timedelta from django.db.models import Sum from django.db.models import Count from django.db.models.functions impor...

26.421308

129

0.640121

1,174

10,912

5.922487

0.291312

0.008629

0.010355

0.012225

0.157055

0.093341

0.072631

0.036819

0.017834

0

0.038249

0.154234

10,912

413

130

26.421308

0.715137

0.185759

0

0.024194

0

0.171879

0.007931

0

1

0.032258

false

0

0.044355

0

0.108871

0.008065

0

null

0

null

0

1

0

66aa16869b2a00e5d9cde4a253891d698c5527b2

2,437

py

Python

src/observers/simple_observer.py

ChenyangTang/bark-ml

1d2ab1957bf49929e27d718dd4bd3912162197b8

[ "MIT" ]

null

src/observers/simple_observer.py

ChenyangTang/bark-ml

1d2ab1957bf49929e27d718dd4bd3912162197b8

[ "MIT" ]

null

src/observers/simple_observer.py

ChenyangTang/bark-ml

1d2ab1957bf49929e27d718dd4bd3912162197b8

[ "MIT" ]

null

from gym import spaces import numpy as np from bark.models.dynamic import StateDefinition from modules.runtime.commons.parameters import ParameterServer import math import operator from src.commons.spaces import BoundedContinuous, Discrete from src.observers.observer import StateObserver class SimpleObserver(StateO...

30.848101

77

0.672959

278

2,437

5.557554

0.298561

0.097087

0.046602

0.184466

0.121036

0.093204

0

0.002707

0.242101

2,437

78

31.24359

0.833785

0.005745

0

0.196721

0

1

0.114754

false

0

0.131148

0.032787

0.360656

0

null

0

null

0

1

0

66aa1e9b55b1f6a0fc3a8c730d67ac565985ed59

9,610

py

Python

cosilico/base/scatter.py

cosilico/cosilico

983373139aeaf459271c559a47a6439939ec93a5

[ "MIT" ]

null

cosilico/base/scatter.py

cosilico/cosilico

983373139aeaf459271c559a47a6439939ec93a5

[ "MIT" ]

null

cosilico/base/scatter.py

cosilico/cosilico

983373139aeaf459271c559a47a6439939ec93a5

[ "MIT" ]

null

import altair as alt import pandas as pd def scatterplot(x, y, data, hue=None, color=None, opacity=1., x_autoscale=True, y_autoscale=True): """Display a basic scatterplot. Parameters ---------- x : str Column in data to be used for x-axis y : str Column in data to be used ...

29.478528

87

0.591467

1,273

9,610

4.344069

0.148468

0.02387

0.01953

0.014467

0.715913

0.693128

0.612839

0.541049

0.512116

0

0.008567

0.295525

9,610

325

88

29.569231

0.808272

0.381165

0

0.538961

0

0.041091

0

1

0.019481

false

0

0.012987

0

0.071429

0

null

0

null

0

1

0

66abb66cbd60706f6fbdf7789edf198d10295b85

12,103

py

Python

flappy_env.py

timlaroche/FlapPyBird

cffc7bb76daad67957a8b5778c1f2c7d82da1514

[ "MIT" ]

null

flappy_env.py

timlaroche/FlapPyBird

cffc7bb76daad67957a8b5778c1f2c7d82da1514

[ "MIT" ]

null

flappy_env.py

timlaroche/FlapPyBird

cffc7bb76daad67957a8b5778c1f2c7d82da1514

[ "MIT" ]

null

import gym from gym import spaces from itertools import cycle import random import sys import os import pygame from pygame.locals import * import flappy import numpy as np import cv2 # GLOBALS FPS = 30 SCREENWIDTH = 288 SCREENHEIGHT = 512 PIPEGAPSIZE = 100 # gap between upper and lower part of pipe BASEY ...

32.799458

130

0.673635

1,652

12,103

4.891041

0.214891

0.025866

0.035272

0.033787

0.260644

0.170916

0.155941

0.115347

0.037748

0.025124

0

0.0233

0.170206

12,103

369

131

32.799458

0.781241

0.138891

0

0.110266

0

0.090487

0.023202

0

1

0.041825

false

0

0.041825

0

0.136882

0

null

0

null

0

1

0

66aded0365be403ed572fa925d74446e3fe43e79

4,587

py

Python

vkmini/group/group_longpoll.py

Elchinchel/vkmini

378ee3893c5826563a19198fd532df47aaa03350

[ "MIT" ]

2

2021-08-12T20:22:40.000Z

2022-02-06T18:13:38.000Z

vkmini/group/group_longpoll.py

Elchinchel/vkmini

378ee3893c5826563a19198fd532df47aaa03350

[ "MIT" ]

null

vkmini/group/group_longpoll.py

Elchinchel/vkmini

378ee3893c5826563a19198fd532df47aaa03350

[ "MIT" ]

3

2020-07-31T17:19:20.000Z

2021-12-11T11:38:23.000Z

from typing import AsyncGenerator, List, Union, Any from aiohttp.client import ClientSession from vkmini.utils import AbstractLogger from vkmini.request import longpoll_get, default_session from vkmini.exceptions import TokenInvalid from vkmini import VkApi class Update: # TODO ну тут без комментариев class...

28.849057

79

0.58535

536

4,587

4.833955

0.330224

0.027789

0.028946

0.030876

0.046314

0.037051

0.026245

0

0.001921

0.318945

4,587

158

80

29.031646

0.827465

0.197951

0

0.09901

0

0.064312

0.026988

0

0.006329

0

1

0.039604

false

0

0.069307

0.009901

0.326733

0

null

0

null

0

1

0

66af18eea69ccb8397ca09f7ca83656cd98f0584

1,162

py

Python

aswan/tests/unit/test_migrations.py

papsebestyen/aswan

ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd

[ "MIT" ]

1

2021-04-28T23:08:07.000Z

aswan/tests/unit/test_migrations.py

papsebestyen/aswan

ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd

[ "MIT" ]

1

2022-01-22T22:02:55.000Z

aswan/tests/unit/test_migrations.py

papsebestyen/aswan

ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd

[ "MIT" ]

2

2022-01-05T10:01:22.000Z

2022-02-16T10:58:46.000Z

import tarfile import pandas as pd import sqlalchemy as db from aswan import AswanConfig, ProdConfig, Project from aswan.migrate import pull, push from aswan.models import Base from aswan.object_store import get_object_store def test_push_pull(tmp_path): conf = ProdConfig.from_dir(tmp_path / "cfg") Base.me...

24.723404

62

0.683305

167

1,162

4.580838

0.401198

0.054902

0.036601

0.039216

0.115033

0.070588

0

0.011677

0.189329

1,162

46

63

25.26087

0.800425

0

0.041308

0

0.090909

1

0.060606

false

0

0.212121

0

0.272727

0

null

0

null

0

1

0

66b23735ac5dd60f24c047d430921a774e2c8f6b

1,055

py

Python

booking.py

kurkurzz/AdminDashboard-BookingWithTimeslot

aa34fef7bc0e1f8cabb602adc6d69af925436e5d

[ "MIT" ]

null

booking.py

kurkurzz/AdminDashboard-BookingWithTimeslot

aa34fef7bc0e1f8cabb602adc6d69af925436e5d

[ "MIT" ]

null

booking.py

kurkurzz/AdminDashboard-BookingWithTimeslot

aa34fef7bc0e1f8cabb602adc6d69af925436e5d

[ "MIT" ]

null

import datetime as dt class Booking: def __init__(self): self.user_id = '' self.name ='' self.pet_name = '' self.time_slot = 0 self.id = '' self.phone_number = '' def to_dict(self): return { 'name' : self.name, 'petname' : self.pe...

31.029412

118

0.559242

129

1,055

4.364341

0.317829

0.085258

0.078153

0.079929

0

0.001377

0.311848

1,055

34

118

31.029412

0.774105

0.027488

0

0.034483

0.175439

0.044834

0

1

0.137931

false

0

0.034483

0.310345

0

null

0

null

0

1

0

66b517ab0ecf7dee82c7b5fd1f3ac99536fb011e

1,927

py

Python

launch_notebooks.py

srivnamrata/openvino

aea76984a731fa3e81be9633dc8ffc702fb4e207

[ "Apache-2.0" ]

null

launch_notebooks.py

srivnamrata/openvino

aea76984a731fa3e81be9633dc8ffc702fb4e207

[ "Apache-2.0" ]

null

launch_notebooks.py

srivnamrata/openvino

aea76984a731fa3e81be9633dc8ffc702fb4e207

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import subprocess import sys from pathlib import Path import os pythonpath = sys.executable curdir = Path(__file__).parent.resolve() parentdir = curdir.parent # If openvino_env is already activated, launch jupyter lab # This will also start if openvino_env_2 is activated instead of openvino_env...

39.326531

82

0.632071

225

1,927

5.328889

0.422222

0.082569

0.043369

0.06005

0.226022

0.190158

0.12844

0

0.002878

0.278672

1,927

48

83

40.145833

0.859712

0.172289

0

0.282051

0

0.414097

0.041536

0

1

0

false

0

0.102564

0

0.102564

0.051282

0

null

0

null

0

1

0

66b64a14727f525c1e5bbd7f0c1785592ad8eed7

1,143

py

Python

update_last_date.py

ankschoubey/testblog

f74e93f0f85edaee9c5adbe402e8e4a5252cc64d

[ "Apache-2.0" ]

1

2021-07-26T00:58:53.000Z

update_last_date.py

ankschoubey/testblog

f74e93f0f85edaee9c5adbe402e8e4a5252cc64d

[ "Apache-2.0" ]

15

2020-03-28T05:27:53.000Z

2022-01-07T17:44:08.000Z

update_last_date.py

ankschoubey/testblog

f74e93f0f85edaee9c5adbe402e8e4a5252cc64d

[ "Apache-2.0" ]

3

2021-05-08T19:59:02.000Z

2021-05-11T17:14:45.000Z

import os.path, os, time from datetime import datetime def getLastUpdatedTime(file: str): return datetime.fromtimestamp(os.path.getmtime(file)).isoformat() def updatePost(postUrl: str) -> None: lastUpdatedTime = getLastUpdatedTime(postUrl) prefix = "last_modified_at" string = f"{prefix}: {lastUpdated...

30.078947

69

0.601925

132

1,143

5.189394

0.416667

0.026277

0.070073

0.052555

0

0.007203

0.271216

1,143

38

70

30.078947

0.815126

0.047244

0

0.069982

0

1

0.074074

false

0

0.148148

0.037037

0.296296

0

null

0

null

0

1

0

66baa831bc3a0b5f4c002eec9ab7e86c9dd317b9

4,578

py

Python

PythonCodes/ScientificPlotting/FigGen_Py_wolfel/Fig3.py

Nicolucas/C-Scripts

2608df5c2e635ad16f422877ff440af69f98f960

[ "MIT" ]

null

PythonCodes/ScientificPlotting/FigGen_Py_wolfel/Fig3.py

Nicolucas/C-Scripts

2608df5c2e635ad16f422877ff440af69f98f960

[ "MIT" ]

null

PythonCodes/ScientificPlotting/FigGen_Py_wolfel/Fig3.py

Nicolucas/C-Scripts

2608df5c2e635ad16f422877ff440af69f98f960

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt plt.style.use('science') import os, sys, time sys.path.insert(0,"/import/freenas-m-03-geodynamics/jhayek/petsc-3.12.5/lib/petsc/bin/") sys.path.insert(0,"/import/freenas-m-03-geodynamics/jhayek/TEAR/se2wave/utils/python") sys.path.insert(0,"/import/freenas-m-03-geod...

41.243243

159

0.68851

568

4,578

5.454225

0.382042

0.054874

0.036152

0.041317

0.420917

0.394448

0.229826

0.197224

0.162363

0.137831

0

0.053301

0.106597

4,578

111

160

41.243243

0.704156

0.042377

0

0.029851

0

0.089552

0.347431

0.310794

0

1

0

false

0

0.283582

0

0.283582

0.014925

0

null

0

null

0

1

0

66bba8495cc9b2de4fa5d89e4f271bf43563f4b0

3,560

py

Python

setup.py

fkie/rosrepo

13cdf89e32f0c370d106a61540b0cd102675daf9

[ "Apache-2.0" ]

5

2016-09-06T08:02:10.000Z

2018-06-10T20:45:21.000Z

setup.py

fkie/rosrepo

13cdf89e32f0c370d106a61540b0cd102675daf9

[ "Apache-2.0" ]

2

2019-03-11T21:44:50.000Z

2020-03-17T09:20:47.000Z

setup.py

fkie/rosrepo

13cdf89e32f0c370d106a61540b0cd102675daf9

[ "Apache-2.0" ]

null

# coding=utf-8 # # ROSREPO # Manage ROS workspaces with multiple Gitlab repositories # # Author: Timo Röhling # # Copyright 2016 Fraunhofer FKIE # # 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 a...

40

129

0.692416

455

3,560

5.30989

0.47033

0.017384

0.034768

0.01904

0.10596

0.083609

0.054636

0

0.014721

0.198596

3,560

88

130

40.454545

0.832107

0.343258

0

0.057692

0

0.324078

0.03731

0

0.019231

1

0

false

0

0.115385

0

0.115385

0

null

0

null

0

1

0

66bcb0ae9b3366b6b0c297fee8c32430261239e3

2,948

py

Python

structural/decorator_and_proxy/example/proxy.py

BruceWW/python_designer_pattern

c5f8b5ee32c8984401b4a217fa35364170331063

[ "Apache-2.0" ]

1

2020-08-29T09:17:12.000Z

structural/decorator_and_proxy/example/proxy.py

BruceWW/python_design_pattern

c5f8b5ee32c8984401b4a217fa35364170331063

[ "Apache-2.0" ]

null

structural/decorator_and_proxy/example/proxy.py

BruceWW/python_design_pattern

c5f8b5ee32c8984401b4a217fa35364170331063

[ "Apache-2.0" ]

null

#!/usr/bin/python3 # -*- coding: utf-8 -*- # @Date : 2020/8/30 # @Author : Bruce Liu /Lin Luo # @Mail : 15869300264@163.com class Card(object): """ 卡片类 """ def __init__(self, name: str, limited: bool = False, limited_num: int = 100000, surplus: int = 0): """ 初始化一张卡 :param li...

27.045872

129

0.587517

352

2,948

4.698864

0.272727

0.079807

0.054414

0.055623

0.340387

0.157195

0.120919

0.073761

0

0.062317

0.303256

2,948

108

130

27.296296

0.742941

0.190638

0

0.255319

0

0.189016

0.038444

0

1

0.085106

false

0

0.191489

0.212766

0

null

0

null

0

1

0

66bd2091216a58b01f3847f7b8145c69c89e49b7

13,057

py

Python

macro_benchmark/SegLink/seglink/unit_tests.py

songhappy/ai-matrix

901078e480c094235c721c49f8141aec7a84e70e

[ "Apache-2.0" ]

180

2018-09-20T07:27:40.000Z

2022-03-19T07:55:42.000Z

macro_benchmark/SegLink/seglink/unit_tests.py

songhappy/ai-matrix

901078e480c094235c721c49f8141aec7a84e70e

[ "Apache-2.0" ]

80

2018-09-26T18:55:56.000Z

2022-02-10T02:03:26.000Z

macro_benchmark/SegLink/seglink/unit_tests.py

songhappy/ai-matrix

901078e480c094235c721c49f8141aec7a84e70e

[ "Apache-2.0" ]

72

2018-08-30T00:49:15.000Z

2022-02-15T23:22:40.000Z

import math import os import tensorflow as tf import numpy as np import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt import ops import utils import model_fctd import data import config import visualizations as vis FLAGS = tf.app.flags.FLAGS def test_encode_decode_synth_data(): batch_size = 50...

34.726064

103

0.635138

1,943

13,057

3.978899

0.156459

0.02975

0.00996

0.011383

0.372914

0.328289

0.266848

0.220929

0.194671

0.170871

0

0.027797

0.234051

13,057

375

104

34.818667

0.745225

0.10324

0

0.249097

0

0.06608

0.004055

0

0.002667

0

1

0.039711

false

0.00361

0.046931

0

0.093863

0.025271

0

null

0

null

0

1

0

66bff38e64bc42b7572591b13e17cd3a431e4073

1,007

py

Python

SoftLayer/CLI/file/duplicate_convert_status.py

ko101/softlayer-python

f4cc9fa2eb01d97c0e890907ef6735390f1a5b10

[ "MIT" ]

null

SoftLayer/CLI/file/duplicate_convert_status.py

ko101/softlayer-python

f4cc9fa2eb01d97c0e890907ef6735390f1a5b10

[ "MIT" ]

null

SoftLayer/CLI/file/duplicate_convert_status.py

ko101/softlayer-python

f4cc9fa2eb01d97c0e890907ef6735390f1a5b10

[ "MIT" ]

null

"""Get status for split or move completed percentage of a given file duplicate volume.""" # :license: MIT, see LICENSE for more details. import click import SoftLayer from SoftLayer.CLI import environment from SoftLayer.CLI import formatting @click.command(cls=SoftLayer.CLI.command.SLCommand, epilog="...

32.483871

112

0.713009

119

1,007

5.966387

0.445378

0.107042

0.050704

0.071831

0.291549

0

0.191658

1,007

30

113

33.566667

0.872236

0.211519

0

0.284802

0.07152

0

1

0.05

false

0.05

0.2

0

0.25

0

null

0

null

0

1

0

66c4abe639069bea0f557f4dba81d69a1839cf18

392

py

Python

apps/saas/forms.py

lucaslucyk/sigec

cdf65868e2f8ead35b005603611fcd20446633c7

[ "MIT" ]

null

apps/saas/forms.py

lucaslucyk/sigec

cdf65868e2f8ead35b005603611fcd20446633c7

[ "MIT" ]

7

2020-02-12T03:10:01.000Z

2021-06-10T19:30:50.000Z

apps/saas/forms.py

lucaslucyk/sigec

cdf65868e2f8ead35b005603611fcd20446633c7

[ "MIT" ]

null

from django import forms #from pagedown.widgets import PagedownWidget from apps.saas.models import Offer class OfferForm(forms.ModelForm): #content= forms.CharField(widget=PagedownWidget(show_preview=False)) #publish= forms.DateField(widget=forms.SelectDateWidget) class Meta: model = Offer fields= [ "tipo_...

21.777778

69

0.742347

44

392

6.568182

0.727273

0

0.145408

392

18

70

21.777778

0.862687

0.420918

0

0.191111

0

1

0

false

0

0.166667

0

0.333333

0

null

0

null

0

1

0

66c7e494275971e9a3a3aa777ced7402edea752a

1,237

py

Python

src/test.py

williamyang1991/TET-GAN

bdfca141fc14c5917fd9be8d2bc23870f9ad3288

[ "MIT" ]

86

2019-01-02T06:20:09.000Z

2022-03-23T01:16:32.000Z

src/test.py

williamyang1991/TET-GAN

bdfca141fc14c5917fd9be8d2bc23870f9ad3288

[ "MIT" ]

5

2019-01-22T06:18:26.000Z

2021-12-16T02:01:34.000Z

src/test.py

williamyang1991/TET-GAN

bdfca141fc14c5917fd9be8d2bc23870f9ad3288

[ "MIT" ]

24

2019-01-03T09:36:54.000Z

2021-12-14T10:04:11.000Z

from options import TestOptions import torch from models import TETGAN from utils import load_image, to_data, to_var, visualize, save_image import os #os.environ["CUDA_VISIBLE_DEVICES"] = "0" def main(): # parse options parser = TestOptions() opts = parser.parse() # data loader print('--- load dat...

25.770833

68

0.609539

161

1,237

4.490683

0.329193

0.049793

0.055325

0

0.010881

0.257074

1,237

47

69

26.319149

0.775843

0.066289

0

0.166667

0

0.06087

0

1

0.027778

false

0

0.138889

0

0.166667

0.111111

0

null

0

null

0

1

0

66ce81273371c8d4fdeb7dac39c7d81c55ecac89

5,962

py

Python

EQUATIONS/FOR_RESOLUTION_STUDY/BuoyancyResolutionStudy.py

mmicromegas/ransX

2faaa786e00cfd14dce0e18f0793cd0252428d2a

[ "BSD-2-Clause" ]

4

2019-04-22T11:43:47.000Z

2020-09-16T00:28:15.000Z

EQUATIONS/FOR_RESOLUTION_STUDY/BuoyancyResolutionStudy.py

mmicromegas/ransX

2faaa786e00cfd14dce0e18f0793cd0252428d2a

[ "BSD-2-Clause" ]

34

2019-07-01T09:11:00.000Z

2022-03-30T13:35:43.000Z

EQUATIONS/FOR_RESOLUTION_STUDY/BuoyancyResolutionStudy.py

mmicromegas/ransX

2faaa786e00cfd14dce0e18f0793cd0252428d2a

[ "BSD-2-Clause" ]

1

2020-09-16T00:28:17.000Z

import numpy as np from scipy import integrate import matplotlib.pyplot as plt from UTILS.Calculus import Calculus from UTILS.SetAxisLimit import SetAxisLimit from UTILS.Tools import Tools from UTILS.Errors import Errors import sys # Theoretical background https://arxiv.org/abs/1401.5176 # Mocak, Meakin, Viallet, Ar...

32.939227

122

0.548306

767

5,962

4.219035

0.324641

0.016069

0.050989

0.061187

0.226823

0.203956

0.174289

0.073548

0

0.028919

0.309795

5,962

180

123

33.122222

0.757473

0.176954

0

0.110092

0

0.058944

0.012939

0

1

0.027523

false

0

0.073395

0

0.119266

0.018349

0

null

0

null

0

1

0

66d42f1fdcd91d122cd938babcc3fe924510d04e

2,147

py

Python

src/admin/godmode/actions/base.py

aimanow/sft

dce87ffe395ae4bd08b47f28e07594e1889da819

[ "Apache-2.0" ]

280

2016-07-19T09:59:02.000Z

2022-03-05T19:02:48.000Z

godmode/actions/base.py

YAR-SEN/GodMode2

d8a79b45c6d8b94f3d2af3113428a87d148d20d0

[ "WTFPL" ]

3

2016-07-20T05:36:49.000Z

2018-12-10T16:16:19.000Z

godmode/actions/base.py

YAR-SEN/GodMode2

d8a79b45c6d8b94f3d2af3113428a87d148d20d0

[ "WTFPL" ]

20

2016-07-20T10:51:34.000Z

2022-01-12T23:15:22.000Z

import json from flask import g, request, render_template from flask.views import View from godmode import logging from godmode.acl import ACL from godmode.audit_log import audit_log from godmode.exceptions import AccessDenied log = logging.getLogger(__name__) class BaseAction(View): name = None title = No...

26.182927

98

0.583605

268

2,147

4.481343

0.324627

0.058285

0.046628

0.02831

0.084929

0.043297

0

0.305077

2,147

81

99

26.506173

0.80496

0

0.063492

0

0.058221

0.01211

0

1

0.095238

false

0

0.111111

0.031746

0.444444

0

null

0

null

0

1

0

66d880a9b64fd73b407a720c9fa6817d2609e5bf

16,001

py

Python

forever/Warframe.py

dss285/4ever

bd6f70f92d76d43342da401562f2c504adaf3867

[ "MIT" ]

null

forever/Warframe.py

dss285/4ever

bd6f70f92d76d43342da401562f2c504adaf3867

[ "MIT" ]

null

forever/Warframe.py

dss285/4ever

bd6f70f92d76d43342da401562f2c504adaf3867

[ "MIT" ]

null

import discord import asyncio import time import aiohttp import re import pathlib import os import json from bs4 import BeautifulSoup from datetime import datetime from models.UpdatedMessage import UpdatedMessage from models.EmbedTemplate import EmbedTemplate from models.BotMention import BotMention from f...

41.778068

159

0.645272

2,026

16,001

4.965943

0.15153

0.021867

0.017493

0.009741

0.302356

0.258026

0.215088

0.161515

0.134082

0.114999

0

0.013417

0.1988

16,001

382

160

41.887435

0.771373

0.001562

0

0.244624

0

0.021505

0.194086

0.055481

0

1

0.086022

false

0

0.037634

0.010753

0.206989

0.008065

0

null

0

null

0

1

0