xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

b3d0c3d583358469a62183dc3e94d74f4fb738b4

19,768

py

Python

botintegration/main.py

discord-autonomie/PreciousPlasticBot

d0934823d9ef4e9ea268047d100756ba95b0731f

[ "MIT" ]

null

botintegration/main.py

discord-autonomie/PreciousPlasticBot

d0934823d9ef4e9ea268047d100756ba95b0731f

[ "MIT" ]

null

botintegration/main.py

discord-autonomie/PreciousPlasticBot

d0934823d9ef4e9ea268047d100756ba95b0731f

[ "MIT" ]

2

2019-09-21T13:36:19.000Z

2019-10-25T16:28:54.000Z

import asyncio import discord import os import json import time from datetime import datetime from config import get_configuration departements = json.loads(open("departements.json").read()) regions = json.loads(open("regions.json").read()) async def log(self, guild, message) : config = get_configuration(guild....

53.86376

285

0.610633

2,616

19,768

4.539373

0.15711

0.041684

0.040421

0.037137

0.598232

0.551158

0.484632

0.450274

0.420042

0.381389

0

0.009937

0.282173

19,768

366

286

54.010929

0.82685

0.001669

0

0.423077

0

0.052448

0.29404

0.006132

0

0.001014

0

1

0.006993

false

0

0.024476

0.006993

0.097902

0.003497

0

null

0

null

0

1

0

b3d1fe94baad9d15458d5ff9000e994472945459

1,062

py

Python

setup.py

mtna/rds-python

961ea12fc70a35c8b979855c8f20a803a9d2f596

[ "Apache-2.0" ]

3

2020-05-15T17:31:18.000Z

2021-05-05T09:21:24.000Z

setup.py

mtna/rds-python

961ea12fc70a35c8b979855c8f20a803a9d2f596

[ "Apache-2.0" ]

null

setup.py

mtna/rds-python

961ea12fc70a35c8b979855c8f20a803a9d2f596

[ "Apache-2.0" ]

2

2020-06-04T09:01:35.000Z

2021-04-22T14:49:36.000Z

import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="mtna-rds", version="0.2.16", author="Metadata Technology North America Inc.", author_email="mtna@mtna.us", description="A library to query the Rich Data Services API framework developed by...

36.62069

92

0.620527

128

1,062

5.078125

0.625

0.092308

0.153846

0.12

0.083077

0

0.033493

0.212806

1,062

28

93

37.928571

0.744019

0

0.038462

0.55838

0

1

0

false

0

0.038462

0

0.038462

0

null

0

null

0

1

0

b3d58035864fec3162d63e3f38f884692d40a888

13,575

py

Python

spectate/mvc/base.py

agoose77/spectate

a70d8e3fb8e9e3f053cb2a1c5a4c760df0d61cb3

[ "MIT" ]

null

spectate/mvc/base.py

agoose77/spectate

a70d8e3fb8e9e3f053cb2a1c5a4c760df0d61cb3

[ "MIT" ]

null

spectate/mvc/base.py

agoose77/spectate

a70d8e3fb8e9e3f053cb2a1c5a4c760df0d61cb3

[ "MIT" ]

null

# See End Of File For Licensing from inspect import signature from functools import wraps from typing import Union, Callable, Optional from contextlib import contextmanager from weakref import WeakValueDictionary from spectate.core import Watchable, watched, Immutable, MethodSpectator from .utils import members __a...

32.632212

88

0.604936

1,666

13,575

4.80072

0.210084

0.015004

0.010503

0.005001

0.199425

0.16004

0.146537

0.098525

0.087022

0.076019

0

0.001385

0.308508

13,575

415

89

32.710843

0.850645

0.507993

0

0.147239

0

0.051467

0.004098

0

1

0.147239

false

0.006135

0.042945

0

0.294479

0

null

0

null

0

1

0

b3d75d2890f7f5972e2fbf7529699f51b48bdb8b

1,803

py

Python

wk2/Crossmatching with k-d trees/05_space_trees.py

lokijota/datadrivenastronomymooc

175655e5c6450c091534299da6bce6f10a1a3627

[ "MIT" ]

8

2018-12-09T18:10:16.000Z

2021-03-21T16:38:58.000Z

wk2/Crossmatching with k-d trees/05_space_trees.py

lokijota/datadrivenastronomymooc

175655e5c6450c091534299da6bce6f10a1a3627

[ "MIT" ]

null

wk2/Crossmatching with k-d trees/05_space_trees.py

lokijota/datadrivenastronomymooc

175655e5c6450c091534299da6bce6f10a1a3627

[ "MIT" ]

5

2018-11-09T16:57:17.000Z

2020-04-15T09:11:33.000Z

import numpy as np import statistics import time from astropy.coordinates import SkyCoord from astropy import units as u def crossmatch(cat1, cat2, max_dist): matches = [] nomatches = [] start = time.perf_counter() skycat1 = SkyCoord(cat1*u.degree, frame='icrs') skycat2 = SkyCoord(cat2*u.degree, frame='ic...

31.086207

85

0.698835

262

1,803

4.652672

0.412214

0.068909

0.044299

0.026251

0.178835

0

0.046061

0.169163

1,803

57

86

31.631579

0.76769

0.20244

0

0.216216

0

0.051821

0

1

0.054054

false

0

0.135135

0

0.243243

0.162162

0

null

0

null

0

1

0

b3d97ce2c5e214ea0d96fc151d9ce9c5473d5232

5,753

py

Python

code_generator/type_generators/cpp_extended_variant.py

SumuduLansakara/JsonToStruct

82d5ed613fc313dedeeada94679e0edbc0a5486a

[ "MIT" ]

null

code_generator/type_generators/cpp_extended_variant.py

SumuduLansakara/JsonToStruct

82d5ed613fc313dedeeada94679e0edbc0a5486a

[ "MIT" ]

null

code_generator/type_generators/cpp_extended_variant.py

SumuduLansakara/JsonToStruct

82d5ed613fc313dedeeada94679e0edbc0a5486a

[ "MIT" ]

null

from typing import Set from code_generator.line_buffer import LineBuffer, IndentedBlock from code_generator.type_generators.cpp_array_alias import CppArrayAlias from code_generator.type_generators.cpp_enum import CppEnum from code_generator.type_generators.cpp_extended_variant_utils.from_json_generator import FromJson...

42.301471

110

0.649226

654

5,753

5.425076

0.188073

0.063134

0.049605

0.047351

0.45885

0.359357

0.267475

0.213078

0.182638

0

0.250652

5,753

135

111

42.614815

0.823011

0.06275

0

0.346154

0

0.115056

0.042007

0.009615

0

1

0.048077

false

0.019231

0.134615

0

0.240385

0

null

0

null

0

1

0

b3dac29fab9b30a15f3567e16ce2def62510c239

5,959

py

Python

src/main/apps/mlops/utils/model_loader.py

Nouvellie/django-tflite

1d08fdc8a2ec58886d7d2b8d40e7b3598613caca

[ "MIT" ]

2

2021-08-23T21:56:07.000Z

2022-01-20T13:52:19.000Z

src/main/apps/mlops/utils/model_loader.py

Nouvellie/django-tflite

1d08fdc8a2ec58886d7d2b8d40e7b3598613caca

[ "MIT" ]

null

src/main/apps/mlops/utils/model_loader.py

Nouvellie/django-tflite

1d08fdc8a2ec58886d7d2b8d40e7b3598613caca

[ "MIT" ]

null

import numpy as np import os from .file_loader import ( CatsvsdogsFileLoader, FashionMnistFileLoader, ImdbSentimentFileLoader, StackoverflowFileLoader, ) from .model_input import ModelInputGenerator from .output_decoder import OutputDecoder from .pipeline import Pipeline from .preprocessing import pipe...

35.260355

116

0.664205

703

5,959

5.42532

0.197724

0.076036

0.031463

0.022024

0.375983

0.35763

0.303618

0.253802

0.179339

0

0.004594

0.232925

5,959

168

117

35.470238

0.829797

0.119987

0

0.237705

0

0.039329

0.029882

0

1

0.122951

false

0.040984

0.098361

0.008197

0.295082

0

null

0

null

0

1

0

b3de0447e00cc0a2285e58663644fe3c006386e1

2,206

py

Python

src/mdp/sokoban.py

pudumagico/RLASP

bce5b87404fdca60e983e4a187e734c49ac923fa

[ "MIT" ]

null

src/mdp/sokoban.py

pudumagico/RLASP

bce5b87404fdca60e983e4a187e734c49ac923fa

[ "MIT" ]

1

2021-06-02T16:55:33.000Z

2021-06-04T14:30:54.000Z

src/mdp/sokoban.py

pudumagico/RLASP

bce5b87404fdca60e983e4a187e734c49ac923fa

[ "MIT" ]

2

2021-03-22T14:46:49.000Z

2021-03-31T16:12:12.000Z

import os from typing import Set from . import MarkovDecisionProcedure class Sokoban(MarkovDecisionProcedure): def __init__(self, state_initial: Set[str], state_static: Set[str]): # No discounting for Sokoban discount_rate = 1.0 file_name = 'sokoban.lp' super().__init__(state_i...

33.938462

96

0.550771

273

2,206

4.131868

0.260073

0.095745

0.085106

0.079787

0.139184

0.090426

0.04078

0

0.007979

0.318223

2,206

64

97

34.46875

0.742021

0.031278

0

0.067948

0

1

0.090909

false

0

0.068182

0.022727

0.227273

0

null

0

null

0

1

0

b3e045df8f99c15e93bf5205a4e184cde6cf770d

1,014

py

Python

create.py

haknkayaa/periodic-table

89d6251074f448b875d7a024897c8203342aaebf

[ "MIT" ]

1

2021-08-05T10:37:26.000Z

create.py

haknkayaa/periodic-table

89d6251074f448b875d7a024897c8203342aaebf

[ "MIT" ]

null

create.py

haknkayaa/periodic-table

89d6251074f448b875d7a024897c8203342aaebf

[ "MIT" ]

null

import sqlite3 conn = sqlite3.connect('elements.db') cur = conn.cursor() cur.execute('DROP TABLE IF EXISTS elements') cur.execute('CREATE TABLE elements (number INTEGER, atomic_weight FLOAT, element TEXT, symbol TEXT, mp FLOAT, bp FLOAT, density FLOAT, earth_crust FLOAT, discovered INTEGER, egroup INTEGER, ionization...

30.727273

308

0.649901

146

1,014

4.486301

0.493151

0.083969

0.033588

0.036641

0

0.021127

0.159763

1,014

32

309

31.6875

0.747653

0.011834

0

0.105263

0.445565

0

1

0

false

0

0.052632

0

0.052632

0.105263

0

null

0

null

0

1

0

b3e0a169cb3b631c48d93e3f6d0c870c92bbcab5

12,454

py

Python

DRACO/visualization-scripts/compute_map.py

RahulSajnani/DRACO-Weakly-Supervised-Dense-Reconstruction-And-Canonicalization-of-Objects

d697905da990487589f88068c886a32d2ef57118

[ "MIT" ]

3

2021-06-20T17:46:32.000Z

2021-12-17T16:55:00.000Z

DRACO/visualization-scripts/compute_map.py

RahulSajnani/DRACO-Weakly-Supervised-Dense-Reconstruction-And-Canonicalization-of-Objects

d697905da990487589f88068c886a32d2ef57118

[ "MIT" ]

1

2022-01-13T01:41:00.000Z

2022-01-13T06:54:29.000Z

DRACO/visualization-scripts/compute_map.py

RahulSajnani/DRACO-Weakly-Supervised-Dense-Reconstruction-And-Canonicalization-of-Objects

d697905da990487589f88068c886a32d2ef57118

[ "MIT" ]

1

2021-09-14T06:17:55.000Z

import open3d as o3d from open3d import * import numpy as np import sys, os import matplotlib.pyplot as plt import cv2 import torch import glob import copy import mathutils from PIL import Image from pytorch3d.loss import chamfer_distance from tk3dv.nocstools.aligning import estimateSimilarityUmeyama import math from ...

32.097938

165

0.599004

1,707

12,454

4.187463

0.175747

0.018607

0.019586

0.029379

0.467403

0.451875

0.433548

0.390459

0.340235

0.325126

0

0.04789

0.252208

12,454

387

166

32.180879

0.719639

0.126626

0

0.202586

0

0.085179

0.059078

0

1

0.043103

false

0

0.086207

0

0.163793

0.043103

0

null

0

null

0

1

0

b3e10b13128ce93e6e6559d8e9d45993251f9fca

10,440

py

Python

chainer/functions/normalization/decorrelated_batch_normalization.py

zaltoprofen/chainer

3b03f9afc80fd67f65d5e0395ef199e9506b6ee1

[ "MIT" ]

2

2019-08-12T21:48:04.000Z

2020-08-27T18:04:20.000Z

chainer/functions/normalization/decorrelated_batch_normalization.py

zaltoprofen/chainer

3b03f9afc80fd67f65d5e0395ef199e9506b6ee1

[ "MIT" ]

null

chainer/functions/normalization/decorrelated_batch_normalization.py

zaltoprofen/chainer

3b03f9afc80fd67f65d5e0395ef199e9506b6ee1

[ "MIT" ]

2

2019-07-16T00:24:47.000Z

2021-02-26T10:27:27.000Z

from chainer import backend from chainer import function_node from chainer.utils import argument from chainer.utils import type_check def _calc_axis_and_m(x_shape, batch_size, groups): m = batch_size * groups spatial_ndim = len(x_shape) - 2 spatial_axis = tuple(range(2, 2 + spatial_ndim)) for i in spa...

34.569536

79

0.597126

1,394

10,440

4.314204

0.147059

0.017958

0.054872

0.026937

0.483538

0.450449

0.42717

0.365314

0.312271

0.306119

0

0.015259

0.284387

10,440

301

80

34.684385

0.78972

0.225287

0

0.405263

0

0.024816

0

0.003322

0

1

0.089474

false

0

0.021053

0

0.178947

0

null

0

null

0

1

0

b3e51e1c2ad25822aeffab799695aee3ded4fa23

5,857

py

Python

ml/app.py

necla-ml/ml

7ebd29382326e3958297607da7182c211865e7ff

[ "BSD-3-Clause" ]

1

2022-02-21T21:06:29.000Z

ml/app.py

necla-ml/ml

7ebd29382326e3958297607da7182c211865e7ff

[ "BSD-3-Clause" ]

null

ml/app.py

necla-ml/ml

7ebd29382326e3958297607da7182c211865e7ff

[ "BSD-3-Clause" ]

null

import os, sys import subprocess from pathlib import Path import ml from ml import ( cuda, distributed as dist, multiprocessing as mp, random, utils, logging,) def init_cuda(cfg): if cfg.no_gpu: # No use of GPU cfg.gpu = [] os.environ['CUDA_VISIBLE_DEVICES'] = 'NoDe...

44.371212

188

0.583575

742

5,857

4.459569

0.233154

0.054397

0.046238

0.3424

0.265639

0.183741

0.085827

0

0.002414

0.292641

5,857

132

189

44.371212

0.796283

0.085026

0

0.218182

0

0.036364

0.227086

0.102694

0

0.063636

1

0.045455

false

0

0.063636

0

0.136364

0

null

0

null

0

1

0

b3e59a34da2419eebef779ae17ec337eb9356b63

2,497

py

Python

sopel-homedirectory/modules/lib/gettitle.py

kunwon1/subtitle-selenium

9af8c08d5f30cf0734a65cad79a6ac98a2647124

[ "MIT" ]

null

sopel-homedirectory/modules/lib/gettitle.py

kunwon1/subtitle-selenium

9af8c08d5f30cf0734a65cad79a6ac98a2647124

[ "MIT" ]

null

sopel-homedirectory/modules/lib/gettitle.py

kunwon1/subtitle-selenium

9af8c08d5f30cf0734a65cad79a6ac98a2647124

[ "MIT" ]

null

from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from pyvirtualdisplay import Display import urllib3.exceptions import traceback import string import time import re prin...

30.82716

208

0.62515

289

2,497

5.287197

0.480969

0.052356

0.049084

0.052356

0.11322

0.060209

0

0.043549

0.264317

2,497

80

209

31.2125

0.788242

0.060072

0

0.111111

0

0.031746

0.174603

0

1

0.079365

false

0.015873

0.15873

0.015873

0.333333

0.15873

0

null

0

null

0

1

0

b3e644d9272bdc05c07609d43e1cf04ff2a64a5c

769

py

Python

carpyncho/migrations/versions/19e8e023f5fb_remove_enum_from_tile.py

toros-astro/carpyncho3

27b00e7539e081c563f1a09c70fb255ac5e71583

[ "BSD-3-Clause" ]

1

2016-02-16T11:10:52.000Z

carpyncho/migrations/versions/19e8e023f5fb_remove_enum_from_tile.py

toros-astro/carpyncho3

27b00e7539e081c563f1a09c70fb255ac5e71583

[ "BSD-3-Clause" ]

null

carpyncho/migrations/versions/19e8e023f5fb_remove_enum_from_tile.py

toros-astro/carpyncho3

27b00e7539e081c563f1a09c70fb255ac5e71583

[ "BSD-3-Clause" ]

null

"""remove enum from tile Revision ID: 19e8e023f5fb Revises: cf2e08638e84 Create Date: 2018-08-23 12:43:31.403270 """ # revision identifiers, used by Alembic. revision = '19e8e023f5fb' down_revision = 'cf2e08638e84' branch_labels = None depends_on = None from alembic import op import sqlalchemy as sa def upgrade()...

24.806452

93

0.687906

99

769

5.282828

0.525253

0.051625

0.080306

0.087954

0.474187

0.309751

0

0.087227

0.16515

769

30

94

25.633333

0.727414

0.394018

0

0.181818

0

0.13986

0

1

0.181818

false

0

0.181818

0

0.363636

0

null

0

null

0

1

0

b3e8a25b886e2dd3e93fc2e6fa0f2a2bcc470b21

2,224

py

Python

tests/test_wquantile.py

nailbiter/alex_python_toolbox

e9624db00f5dc3c1a83b87bc267eff1e3f96aea5

[ "MIT" ]

null

tests/test_wquantile.py

nailbiter/alex_python_toolbox

e9624db00f5dc3c1a83b87bc267eff1e3f96aea5

[ "MIT" ]

1

2021-11-15T23:18:39.000Z

tests/test_wquantile.py

nailbiter/alex_python_toolbox

e9624db00f5dc3c1a83b87bc267eff1e3f96aea5

[ "MIT" ]

null

"""=============================================================================== FILE: tests/test_wquantile.py USAGE: (not intended to be directly executed) DESCRIPTION: OPTIONS: --- REQUIREMENTS: --- BUGS: --- NOTES: --- AUTHOR: Alex Leontiev (nailbiter@dtws-work.in) ORG...

37.694915

144

0.553507

260

2,224

4.507692

0.411538

0.047782

0.025597

0.037543

0.071672

0.052901

0

0.020528

0.233363

2,224

58

145

38.344828

0.666862

0.294964

0

0.063421

0.016015

0

0.032258

1

0.096774

false

0

0.225806

0

0.387097

0

null

0

null

0

1

0

b3ed1e109e8b2ec28f7a697722de818e6a4cde1f

912

py

Python

prepare.py

mukherjeeakash/GestureRecognizer

51c16c9b7c2d32fc6cdcc90bd251f7b131b9e821

[ "Apache-2.0" ]

null

prepare.py

mukherjeeakash/GestureRecognizer

51c16c9b7c2d32fc6cdcc90bd251f7b131b9e821

[ "Apache-2.0" ]

null

prepare.py

mukherjeeakash/GestureRecognizer

51c16c9b7c2d32fc6cdcc90bd251f7b131b9e821

[ "Apache-2.0" ]

null

path = 'C:\\Users\\akash\\Pictures\\Sign-Language-Digits-Dataset-master\\Dataset\\' import os from PIL import Image for i in range(3): for filename in os.listdir(path + str(i)): if filename != "": image_obj = Image.open(path + str(i) + "\\" + filename).convert('L') rotated_image = i...

50.666667

84

0.593202

110

912

4.772727

0.336364

0.091429

0.121905

0.057143

0.712381

0.697143

0.598095

0.350476

0

0.001425

0.230263

912

18

85

50.666667

0.746439

0

0.25

0

0.179628

0.081051

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

b3f25d0874f1f41b96cf0db0cf82de3fe58fb7d7

4,409

py

Python

care/facility/summarisation/tests_summary.py

gigincg/care

07be6a7982b5c46a854e3435a52662f32800c8ae

[ "MIT" ]

189

2020-03-17T17:18:58.000Z

2022-02-22T09:49:45.000Z

care/facility/summarisation/tests_summary.py

gigincg/care

07be6a7982b5c46a854e3435a52662f32800c8ae

[ "MIT" ]

598

2020-03-19T21:22:09.000Z

2022-03-30T05:08:37.000Z

care/facility/summarisation/tests_summary.py

gigincg/care

07be6a7982b5c46a854e3435a52662f32800c8ae

[ "MIT" ]

159

2020-03-19T18:45:56.000Z

2022-03-17T13:23:12.000Z

from celery.decorators import periodic_task from celery.schedules import crontab from django.core.exceptions import ObjectDoesNotExist from django.utils import timezone from django.utils.decorators import method_decorator from django.views.decorators.cache import cache_page from django_filters import rest_framework as ...

46.904255

110

0.714901

459

4,409

6.544662

0.294118

0.034621

0.044274

0.055925

0.216378

0.194407

0.15779

0.124501

0

0.002835

0.200045

4,409

93

111

47.408602

0.84888

0.110456

0

0.055556

0

0.06878

0

1

0.041667

false

0

0.166667

0.013889

0.319444

0

null

0

null

0

1

0

b3f8d6b9c7c673105416ad9c741ad2b778d84b31

23,272

py

Python

bdragon/cdragontoolbox/rads.py

headbangsmurf/CommunityDataDragon

cc3307280dbaf61b4a2cab4bc953edb192a077bb

[ "MIT" ]

3

2020-11-10T19:37:41.000Z

2022-03-18T11:37:15.000Z

bdragon/cdragontoolbox/rads.py

headbangsmurf/CommunityDataDragon

cc3307280dbaf61b4a2cab4bc953edb192a077bb

[ "MIT" ]

1

2020-11-30T00:46:44.000Z

2020-11-30T06:57:19.000Z

bdragon/cdragontoolbox/rads.py

headbangsmurf/CommunityDataDragon

cc3307280dbaf61b4a2cab4bc953edb192a077bb

[ "MIT" ]

null

import os import re import zlib from typing import List, Dict, Union, Optional, Generator, Iterable from collections import defaultdict import logging import requests from .data import Language from .tools import write_file_or_remove from .storage import ( BaseVersion, Storage, Patch, PatchElement, ...

36.419405

124

0.606179

2,739

23,272

5.016429

0.147499

0.020087

0.007205

0.012227

0.309534

0.232096

0.204731

0.17329

0.157569

0.140539

0

0.005354

0.293744

23,272

638

125

36.476489

0.830616

0.181849

0

0.297483

0

0.124143

0.039042

0

0.022883

1

0.132723

false

0.002288

0.022883

0.032037

0.343249

0

null

0

null

0

1

0

b3fb508751b27387b839402708cd6c7d5ae12cf0

935

py

Python

venv/lib/python3.8/site-packages/arch/tests/bootstrap/test_block_length.py

johncollinsai/post-high-frequency-data

88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4

[ "MIT" ]

1

2022-03-29T22:12:54.000Z

venv/lib/python3.8/site-packages/arch/tests/bootstrap/test_block_length.py

johncollinsai/post-high-frequency-data

88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4

[ "MIT" ]

null

venv/lib/python3.8/site-packages/arch/tests/bootstrap/test_block_length.py

johncollinsai/post-high-frequency-data

88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4

[ "MIT" ]

null

import numpy as np from numpy.testing import assert_allclose import pandas as pd from arch.bootstrap.base import optimal_block_length def test_block_length(): rs = np.random.RandomState(0) e = rs.standard_normal(10000 + 100) y = e for i in range(1, len(e)): y[i] = 0.3 * y[i - 1] + e[i] s ...

28.333333

58

0.610695

154

935

3.603896

0.38961

0.126126

0.12973

0.108108

0.299099

0.21982

0

0.077241

0.224599

935

32

59

29.21875

0.688276

0

0.153846

0

0.027807

0

0.307692

1

0.038462

false

0

0.153846

0

0.192308

0

null

0

null

0

1

0

b3fc69ae17afb4191989d8ffd0210a58f43c6b8b

2,836

py

Python

articles/imp/genfigs/bulldozer_age_pdp_shap.py

parrt/stratx

c190ecc32ac7b8dd3f5532a5d5b0de34a3693a22

[ "MIT" ]

54

2019-07-17T04:59:39.000Z

2022-03-18T15:25:00.000Z

articles/imp/genfigs/bulldozer_age_pdp_shap.py

parrt/stratx

c190ecc32ac7b8dd3f5532a5d5b0de34a3693a22

[ "MIT" ]

5

2019-07-27T16:18:37.000Z

2020-12-02T20:16:49.000Z

articles/imp/genfigs/bulldozer_age_pdp_shap.py

parrt/stratx

c190ecc32ac7b8dd3f5532a5d5b0de34a3693a22

[ "MIT" ]

13

2019-08-08T22:17:50.000Z

2022-02-11T10:19:23.000Z

from support import * import numpy as np import pandas as pd import matplotlib.pyplot as plt import shap GREY = '#444443' n = 20_000 shap_test_size = 1000 X, y = load_bulldozer(n=50_000) # Most recent timeseries data is more relevant so get big recent chunk # then we can sample from that to get n X = X.iloc[-50_00...

31.511111

86

0.681946

453

2,836

4.092715

0.293598

0.07767

0.033981

0.048544

0.581446

0.559871

0.55178

0.377562

0.320928

0

0.039328

0.139281

2,836

90

87

31.511111

0.720197

0.043371

0

0.42029

0

0.141697

0.038007

0

1

0

false

0

0.072464

0

0.072464

0

null

0

null

0

1

0

b6025c07a550e6b64ea088e2d2ae6f07c65add55

2,154

py

Python

congregation/dag/dag.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

3

2020-10-05T16:30:15.000Z

2021-01-22T13:38:02.000Z

congregation/dag/dag.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

null

congregation/dag/dag.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

1

2021-02-19T12:40:57.000Z

from congregation.dag.nodes import OpNode class Dag: def __init__(self, roots: set): self.roots = roots def __str__(self): return "\n".join(str(node) for node in self.top_sort()) def involves_compute_party(self, pid: int): """ For a given PID, check if it owns any ...

28.342105

113

0.587744

281

2,154

4.323843

0.284698

0.065844

0.039506

0.024691

0.128395

0.092181

0.034568

0

0.000684

0.321727

2,154

75

114

28.72

0.830938

0.031105

0

0.03455

0

1

0.18

false

0

0.02

0.04

0.34

0.04

0

null

0

null

0

1

0

b602707d9d2d61f75e1f77871a6e22ddd13d0a1e

8,940

py

Python

package_control/package_disabler_iterator.py

evandrocoan/package_control

bb17c851fa2dee0e564128ea4a499087f2d2ec45

[ "MIT" ]

2

2018-12-08T21:44:59.000Z

2021-11-27T05:14:02.000Z

package_control/package_disabler_iterator.py

evandrocoan/package_control

bb17c851fa2dee0e564128ea4a499087f2d2ec45

[ "MIT" ]

3

2018-02-09T04:14:30.000Z

2018-10-08T14:40:36.000Z

package_control/package_disabler_iterator.py

evandrocoan/package_control

bb17c851fa2dee0e564128ea4a499087f2d2ec45

[ "MIT" ]

null

import sublime import time import functools from .settings import run_on_main_thread from .package_disabler import PackageDisabler # How many packages to ignore and unignore in batch to fix the ignored packages bug error PACKAGES_COUNT_TO_IGNORE_AHEAD = 8 # The minimum time between multiple calls setting the `igno...

40.821918

150

0.702908

1,103

8,940

5.349048

0.197643

0.071186

0.056949

0.067797

0.469153

0.384576

0.315593

0.249661

0.209153

0.202203

0

0.002193

0.234899

8,940

218

151

41.009174

0.86038

0.21443

0

0.230769

0

0.105087

0.030814

0

0.008547

1

0.136752

false

0

0.042735

0

0.222222

0.059829

0

null

0

null

0

1

0

b604ed726ad0c27b4c9c8cb853054f3c1f6e34f0

1,125

py

Python

djenga/encryption/kms.py

2ps/djenga

85ac2c7b0b0e80b55aff43f027814d05b9b0532c

[ "BSD-3-Clause" ]

6

2015-01-18T10:31:13.000Z

2019-06-14T17:39:58.000Z

djenga/encryption/kms.py

2ps/djenga

85ac2c7b0b0e80b55aff43f027814d05b9b0532c

[ "BSD-3-Clause" ]

12

2015-05-03T06:58:00.000Z

2019-06-26T21:58:16.000Z

djenga/encryption/kms.py

2ps/djenga

85ac2c7b0b0e80b55aff43f027814d05b9b0532c

[ "BSD-3-Clause" ]

1

2018-04-27T20:36:29.000Z

from .helpers import _as_bytes from .helpers import b64_str from .helpers import from_b64_str from .helpers import _get_client from .helpers import _prefix_alias def encrypt_bytes( plain_text: bytes , alias: str , region: str = None , profile: str = None) -> bytes: client = _get_cl...

29.605263

79

0.691556

148

1,125

5.013514

0.189189

0.075472

0.114555

0.107817

0.304582

0.242588

0.206199

0.161725

0

0.010147

0.211556

1,125

37

80

30.405405

0.826381

0

0.206897

0

0.024889

0

1

0.137931

false

0

0.172414

0

0.448276

0

null

0

null

0

1

0

b6067da1a3d8144b0aacdb78ebe92f0d1ae4957c

3,275

py

Python

Testing/intersection_densityTEST.py

djconly85/PPA2_0_code

1d67934eb3bc3c7df16cdd5867639b92c9ea45eb

[ "MIT" ]

null

Testing/intersection_densityTEST.py

djconly85/PPA2_0_code

1d67934eb3bc3c7df16cdd5867639b92c9ea45eb

[ "MIT" ]

null

Testing/intersection_densityTEST.py

djconly85/PPA2_0_code

1d67934eb3bc3c7df16cdd5867639b92c9ea45eb

[ "MIT" ]

null

# -------------------------------- # Name: transit_svc_measure.py # Purpose: Get count of intersection density per acre # # # Author: Darren Conly # Last Updated: <date> # Updated by: <name> # Copyright: (c) SACOG # Python Version: 3.x # -------------------------------- import gc import sys import arcpy # import pp...

31.190476

140

0.643359

417

3,275

4.810552

0.386091

0.023928

0.041874

0.045862

0.047856

0.015952

0

0.0204

0.251603

3,275

104

141

31.490385

0.798042

0.205802

0

0.034483

0

0.100736

0.024022

0

1

0.051724

false

0

0.068966

0

0.172414

0

null

0

null

0

1

0

b60cc9c298430cfb0532fa24f8e831ee7ebc2637

308

py

Python

utilities/extract-files.py

ukgamesfund/registry-blockchain

73b12a36b7af5df3235f1b91939b8fd59b213b9f

[ "MIT" ]

null

utilities/extract-files.py

ukgamesfund/registry-blockchain

73b12a36b7af5df3235f1b91939b8fd59b213b9f

[ "MIT" ]

null

utilities/extract-files.py

ukgamesfund/registry-blockchain

73b12a36b7af5df3235f1b91939b8fd59b213b9f

[ "MIT" ]

null

import json,os,sys filename = sys.argv[1] file_path = "../build/contracts/"+filename content = open(file_path, "r").read() object = json.loads(content) abi = json.dumps(object['abi'], indent=2) bin = object['unlinked_binary'][2:] open(filename+".abi","w").write(abi) open(filename+".bin","w").write(bin)

22

42

0.681818

47

308

4.404255

0.553191

0.077295

0

0.010714

0.090909

308

13

43

23.692308

0.728571

0

0.156352

0

1

0

false

0

0.111111

0

0.111111

0

null

0

null

0

1

0

b60cefb60f76a4f016c09e520a3873524a38f0fc

499

py

Python

trinity/tests/test_bonds.py

elliothevel/trinity

af4425e6432f6edd7c56478b039eab654c5fec26

[ "MIT" ]

null

trinity/tests/test_bonds.py

elliothevel/trinity

af4425e6432f6edd7c56478b039eab654c5fec26

[ "MIT" ]

null

trinity/tests/test_bonds.py

elliothevel/trinity

af4425e6432f6edd7c56478b039eab654c5fec26

[ "MIT" ]

null

import trinity.bonds as bonds import trinity.returns as returns def test_simulate_returns(expected_bond_returns): """Ensure simulated returns match published results.""" interest_rates = [(year['rate'], year['rate_long']) for year in returns.read_shiller()] simulated_returns = bonds...

35.642857

77

0.727455

61

499

5.721311

0.508197

0.137536

0.108883

0.148997

0

0.012195

0.178357

499

13

78

38.384615

0.839024

0.098196

0

0.056306

0

0.125

1

0.125

false

0

0.25

0

0.375

0

null

0

null

0

1

0

b60cff1aa58f85db479507a365921e43a1e5cf4d

705

py

Python

karutakeqingautoreact/karutakeqingautoreact.py

RealCyGuy/modmail-plugins

e515f827eb3fedf8456fbb5ff65a4e5fa81ab72e

[ "MIT" ]

8

2020-01-03T19:01:59.000Z

2021-04-14T13:30:49.000Z

karutakeqingautoreact/karutakeqingautoreact.py

RealCyGuy/modmail-plugins

e515f827eb3fedf8456fbb5ff65a4e5fa81ab72e

[ "MIT" ]

4

2020-12-22T12:51:03.000Z

2022-01-05T20:17:00.000Z

karutakeqingautoreact/karutakeqingautoreact.py

RealCyGuy/modmail-plugins

e515f827eb3fedf8456fbb5ff65a4e5fa81ab72e

[ "MIT" ]

27

2020-01-17T18:05:29.000Z

2022-02-04T07:38:52.000Z

import discord from discord.ext import commands class KarutaKeqingAutoReact(commands.Cog): """ Reacts to karuta character lookup and collection for keqing bot. """ def __init__(self, bot): self.bot = bot @commands.Cog.listener() async def on_message(self, message: discord.Message): ...

29.375

70

0.652482

81

705

5.617284

0.518519

0.048352

0.087912

0.101099

0

0.035581

0.242553

705

23

71

30.652174

0.810861

0.09078

0

0.0544

0

1

0.133333

false

0

0.133333

0

0.333333

0

null

0

null

0

1

0

b60ef291cf0091e55fe384f99b9ffc4eb76852f2

4,035

py

Python

tests/cli/test_capture.py

lkolacek/osbs-client

90c6db9a414214c681c777468079bcbe7dd7c809

[ "BSD-3-Clause" ]

4

2020-05-16T22:30:32.000Z

2021-11-09T22:26:38.000Z

tests/cli/test_capture.py

lkolacek/osbs-client

90c6db9a414214c681c777468079bcbe7dd7c809

[ "BSD-3-Clause" ]

183

2019-06-06T09:10:24.000Z

2022-03-30T12:05:15.000Z

tests/cli/test_capture.py

lkolacek/osbs-client

90c6db9a414214c681c777468079bcbe7dd7c809

[ "BSD-3-Clause" ]

10

2019-10-29T21:55:03.000Z

2021-01-18T14:20:34.000Z

""" Copyright (c) 2015, 2019 Red Hat, Inc All rights reserved. This software may be modified and distributed under the terms of the BSD license. See the LICENSE file for details. """ from __future__ import absolute_import import json import os import responses import yaml from tempfile import NamedTemporaryFile from...

35.086957

157

0.680297

527

4,035

4.916509

0.259962

0.114628

0.052103

0.040139

0.450405

0.396372

0.33076

0.264377

0

0.014223

0.215861

4,035

114

158

35.394737

0.804678

0.051053

0

0.219512

0

0.02439

0.251113

0.086934

0

0.04878

1

0.04878

false

0

0.146341

0.012195

0.219512

0

null

0

null

0

1

0

b60f51942494a012c87412de5d38d61489e17976

2,162

py

Python

ludwig/datasets/iris/__init__.py

dantreiman/ludwig

daeffd21f9eef524afb2037763abd07a93228c2a

[ "Apache-2.0" ]

7,739

2019-02-11T14:06:31.000Z

2020-12-16T18:30:29.000Z

ludwig/datasets/iris/__init__.py

dantreiman/ludwig

daeffd21f9eef524afb2037763abd07a93228c2a

[ "Apache-2.0" ]

769

2019-02-11T16:13:20.000Z

2020-12-16T17:26:11.000Z

ludwig/datasets/iris/__init__.py

dantreiman/ludwig

daeffd21f9eef524afb2037763abd07a93228c2a

[ "Apache-2.0" ]

975

2019-02-11T15:55:54.000Z

2020-12-14T21:45:39.000Z

#! /usr/bin/env python # Copyright (c) 2022 Predibase, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...

34.31746

96

0.702128

282

2,162

5.202128

0.492908

0.0409

0.04908

0.021813

0.088616

0

0.004499

0.177613

2,162

62

97

34.870968

0.820585

0.343201

0

0.092286

0

1

0.129032

false

0

0.225806

0.032258

0.451613

0

null

0

null

0

1

0

b614594c792bcc71148ae6b00e42b3819d01bc79

6,582

py

Python

src/dtpattern/alignment/alignment_cls.py

jumbrich/dtpattern

38433c89d169a280b0439b9cd4f463d5d7604dd7

[ "MIT" ]

null

src/dtpattern/alignment/alignment_cls.py

jumbrich/dtpattern

38433c89d169a280b0439b9cd4f463d5d7604dd7

[ "MIT" ]

2

2018-04-25T22:13:34.000Z

2018-04-26T17:52:43.000Z

src/dtpattern/alignment/alignment_cls.py

jumbrich/dtpattern

38433c89d169a280b0439b9cd4f463d5d7604dd7

[ "MIT" ]

null

import functools from dtpattern.alignment.alignment_list import align_global, finalize, format_alignment2 from dtpattern.unicode_translate.uc_models import FIX_SYMB from pyjuhelpers.timer import timer class Alignment(object): def __init__(self, alpha, beta, translate=None, m=6, mm=-4, om=3, csetm=4,go=-10, ge...

37.186441

133

0.499696

734

6,582

4.393733

0.185286

0.032248

0.018605

0.459535

0.43938

0.396589

0.386047

0.368062

0

0.029199

0.370404

6,582

176

134

37.397727

0.749035

0.118201

0

0.475806

0

0.098107

0.004341

0

1

0.056452

false

0

0.032258

0.008065

0.16129

0

null

0

null

0

1

0

3733a08138ec283d797445a7d27a5b19edaeec7d

6,056

py

Python

tests/test_validators.py

jpsca/pforms

77c9da93e5224e79bb147aa873f28951e972bb21

[ "MIT" ]

2

2020-09-30T22:41:00.000Z

2020-12-04T16:47:17.000Z

tests/test_validators.py

jpsca/hyperform

d5c450ad8684a853fed26f8c2606877151125a9e

[ "MIT" ]

2

2021-11-18T18:01:28.000Z

2021-11-18T18:03:29.000Z

tests/test_validators.py

jpsca/hyperform

d5c450ad8684a853fed26f8c2606877151125a9e

[ "MIT" ]

null

from datetime import date, datetime import pytest from proper_forms import Date, DateTime, Field, Integer from proper_forms import validators as v def test_confirmed_message(): validator = v.Confirmed() assert validator.message == "Values doesn't match." assert v.Confirmed(message="custom").message == "...

39.842105

79

0.62467

824

6,056

4.541262

0.137136

0.069482

0.032068

0.044896

0.665152

0.524319

0.370657

0.219669

0.181187

0.145377

0

0.115544

0.16397

6,056

151

80

40.10596

0.623543

0

0.016529

0

0.168758

0

0.181818

1

0.099174

false

0.033058

0

0.132231

0

null

0

null

0

1

0

3734bdeaee2424fb8a41b0e01dff10a01e85aac8

2,084

py

Python

detection_viz/scripts/fps_calculator.py

Benson516/detection_viz_ROS

7eb0c3edee9f402ab6fe2d8d4050cd4a67eabf6b

[ "MIT" ]

null

detection_viz/scripts/fps_calculator.py

Benson516/detection_viz_ROS

7eb0c3edee9f402ab6fe2d8d4050cd4a67eabf6b

[ "MIT" ]

null

detection_viz/scripts/fps_calculator.py

Benson516/detection_viz_ROS

7eb0c3edee9f402ab6fe2d8d4050cd4a67eabf6b

[ "MIT" ]

null

#!/usr/bin/env python2 import rospy import numpy as np import threading from timeit import default_timer as timer import time class FPS: def __init__(self): self.period_update = 0.2 # sec. self.window_size = 25 # samples self.max_cumulated_step = 100000 # self.buffer_cumul...

26.717949

74

0.596929

268

2,084

4.313433

0.283582

0.051903

0.083045

0.32699

0.288927

0.188581

0.100346

0

0.013541

0.291267

2,084

77

75

27.064935

0.769127

0.096929

0

0.136364

0

0.004391

0

1

0.113636

false

0

0.113636

0

0.295455

0

null

0

null

0

1

0

3735790497e156cdee39aed5c0df2ddf1799e05b

2,966

py

Python

examples/main.py

levsh/arrlio

c6819bbe697ebcfbeafdd04af07f26f24b33d670

[ "MIT" ]

null

examples/main.py

levsh/arrlio

c6819bbe697ebcfbeafdd04af07f26f24b33d670

[ "MIT" ]

null

examples/main.py

levsh/arrlio

c6819bbe697ebcfbeafdd04af07f26f24b33d670

[ "MIT" ]

null

import asyncio import logging import arrlio import tasks from arrlio import crypto from arrlio.serializer.json import CryptoJson logger = logging.getLogger("arrlio") logger.setLevel("INFO") BACKEND = "arrlio.backend.local" async def main(): async def example_1(): producer = arrlio.Producer(arrlio.Pro...

30.265306

95

0.599798

342

2,966

5.04386

0.248538

0.064928

0.05913

0.055072

0.491014

0.397681

0.365217

0.316522

0.187826

0

0.003322

0.289616

2,966

97

96

30.57732

0.815377

0.019555

0

0.246377

0

0.047193

0.007234

0

1

0.014493

false

0

0.086957

0.014493

0.115942

0.028986

0

null

0

null

0

1

0

37369717bf4744bf752a9e5e1db557ed280d3c7a

496

py

Python

Blatt-02/Sonstiges/tribonacci.py

MartinThoma/prog-ws1213

c82a2fb81bac774f8d3214a25c33124a9f512ef0

[ "MIT" ]

1

2017-08-10T13:12:03.000Z

Blatt-02/Sonstiges/tribonacci.py

siviaseason/prog-ws1213

c82a2fb81bac774f8d3214a25c33124a9f512ef0

[ "MIT" ]

null

Blatt-02/Sonstiges/tribonacci.py

siviaseason/prog-ws1213

c82a2fb81bac774f8d3214a25c33124a9f512ef0

[ "MIT" ]

2

2016-06-08T20:56:04.000Z

2022-03-11T20:12:37.000Z

def tribonacci(n): if n < 3: return n else: return tribonacci(n-1) + tribonacci(n-2) + tribonacci(n-3) def tribonacciBottomUp(n): last = 1 secondLast = 1 thirdLast = 1 for i in range(2,n): new = last + secondLast + thirdLast thirdLast = secondLast secondL...

21.565217

73

0.568548

69

496

4.086957

0.376812

0.156028

0.042553

0

0.034286

0.294355

496

22

74

22.545455

0.771429

0

0.0625

0

1

0.157895

false

0

0.315789

0.052632

0

null

0

null

0

1

0

37379882a0e02a3d332d5d8f259eede951ecb249

1,805

py

Python

flake8_pie/tests/test_pie803_prefer_logging_interpolation.py

sbdchd/flake8-pie

96ae441d92abe64b23e1c37b0eb15778434000cc

[ "BSD-2-Clause" ]

23

2019-01-25T14:58:20.000Z

2022-03-27T02:20:01.000Z

flake8_pie/tests/test_pie803_prefer_logging_interpolation.py

sbdchd/flake8-assign-and-return

96ae441d92abe64b23e1c37b0eb15778434000cc

[ "BSD-2-Clause" ]

50

2019-04-17T02:37:01.000Z

2022-03-27T02:19:53.000Z

flake8_pie/tests/test_pie803_prefer_logging_interpolation.py

sbdchd/flake8-assign-and-return

96ae441d92abe64b23e1c37b0eb15778434000cc

[ "BSD-2-Clause" ]

5

2019-02-21T07:29:12.000Z

2021-11-06T21:01:26.000Z

from __future__ import annotations import ast import pytest from flake8_pie import Flake8PieCheck from flake8_pie.pie803_prefer_logging_interpolation import PIE803 from flake8_pie.tests.utils import Error, ex, to_errors EXAMPLES = [ ex( code=r""" logger.info("Login error for %s" % user) """, ...

24.066667

78

0.587812

239

1,805

4.330544

0.271967

0.10628

0.138164

0.14686

0.542029

0.501449

0.446377

0.307246

0.216425

0

0.042569

0.232133

1,805

74

79

24.391892

0.704185

0

0.588235

0

0.330748

0.057064

0

0.014706

1

0.014706

false

0

0.088235

0

0.102941

0

null

0

null

0

1

0

373b0831f54ef02bac3d59c0fc65db6ad11950d7

1,517

py

Python

test/test_graph/test_slice.py

jjon/rdflib

4c2ab7b392b353bf3c6088017ec9351ce8ac3db6

[ "BSD-3-Clause" ]

null

test/test_graph/test_slice.py

jjon/rdflib

4c2ab7b392b353bf3c6088017ec9351ce8ac3db6

[ "BSD-3-Clause" ]

6

2021-11-22T19:10:32.000Z

2022-01-31T19:16:37.000Z

test/test_graph/test_slice.py

jjon/rdflib

4c2ab7b392b353bf3c6088017ec9351ce8ac3db6

[ "BSD-3-Clause" ]

null

from test.data import bob, cheese, hates, likes, michel, pizza, tarek from rdflib import Graph class TestGraphSlice: def test_slice(self): """ We pervert the slice object, and use start, stop, step as subject, predicate, object all operations return generators over full triples ...

27.089286

76

0.556361

209

1,517

4.033493

0.45933

0.033215

0.032028

0.053381

0.104389

0

0.006843

0.325643

1,517

55

77

27.581818

0.817204

0.376401

0

0.043478

1

0.130435

false

0

0.086957

0.347826

0

null

0

null

0

1

0

373cd2d11dd4c527255309c855c5dbf16d3610fd

2,163

py

Python

pyContabo/Tags.py

xLeon-python/pyContabo

9863bd1ab0f95b50186902c90c40ce53d3026afd

[ "MIT" ]

5

2022-01-03T10:34:35.000Z

2022-01-27T10:34:41.000Z

pyContabo/Tags.py

xLeon-python/pyContabo

9863bd1ab0f95b50186902c90c40ce53d3026afd

[ "MIT" ]

4

2022-01-14T10:37:57.000Z

2022-01-20T20:44:54.000Z

pyContabo/Tags.py

xLeon-python/pyContabo

9863bd1ab0f95b50186902c90c40ce53d3026afd

[ "MIT" ]

1

2022-01-20T14:59:32.000Z

import json from typing import List, Union from .Tag import Tag from .audits.TagsAudits import TagsAudits class Tags: def __init__(self, _http): self._http = _http self.Audits = TagsAudits(_http) def get( self, id: str = None, page: int = None, pageSize: int ...

29.630137

250

0.520573

285

2,163

3.785965

0.277193

0.027804

0.074143

0.061168

0.379981

0.317887

0.266914

0.189064

0

0.008584

0.353675

2,163

72

251

30.041667

0.763233

0.064263

0

0.163636

0

0.018182

0.162444

0.023845

0

1

0.054545

false

0

0.072727

0

0.254545

0

null

0

null

0

1

0

373ce6abe69658df775573e30396ce08743e65d4

1,458

py

Python

2021/07/b.py

cj-wong/advent

f6a489773f488f5daf49caa9d652b1886608b928

[ "MIT" ]

null

2021/07/b.py

cj-wong/advent

f6a489773f488f5daf49caa9d652b1886608b928

[ "MIT" ]

null

2021/07/b.py

cj-wong/advent

f6a489773f488f5daf49caa9d652b1886608b928

[ "MIT" ]

null

from collections import Counter, defaultdict from typing import Dict, List import config def calculate_crab_pos_change_fuel(start: int, end: int) -> int: """Calculate the amount of fuel changed per position. Args: start (int): starting position end (int): ending position Returns: ...

23.516129

67

0.633059

201

1,458

4.368159

0.333333

0.039863

0.05467

0.06492

0.137813

0

0.006464

0.257202

1,458

61

68

23.901639

0.804247

0.215364

0

0.008333

0

1

0.1

false

0

0.1

0

0.266667

0

null

0

null

0

1

0

373f20855c48097a781ae0349231baa0bc6b5ae5

5,730

py

Python

aplus_client/django/models.py

apluslms/a-plus-client

21cf1575ef70baf6ece70d6ae99f7bcee554e9b1

[ "MIT" ]

1

2019-10-13T10:21:51.000Z

aplus_client/django/models.py

apluslms/a-plus-client

21cf1575ef70baf6ece70d6ae99f7bcee554e9b1

[ "MIT" ]

null

aplus_client/django/models.py

apluslms/a-plus-client

21cf1575ef70baf6ece70d6ae99f7bcee554e9b1

[ "MIT" ]

1

2018-08-28T18:32:20.000Z

import datetime from functools import reduce from urllib.parse import urlsplit from django.apps import apps from django.core.exceptions import ObjectDoesNotExist from django.db import models from django.utils import timezone from django.utils.functional import cached_property from django.utils.translation import ugette...

31.311475

79

0.63822

671

5,730

5.247392

0.207154

0.044306

0.05453

0.031809

0.214996

0.158762

0.127237

0.116444

0.106788

0

0.000956

0.269459

5,730

182

80

31.483516

0.840182

0

0.265734

0

0.03438

0

1

0.125874

false

0

0.062937

0.020979

0.433566

0

null

0

null

0

1

0

373f799d97bc4aea9455aac2ae9a2ed13f94701c

1,010

py

Python

tests/changes/api/test_kick_sync_repo.py

vault-the/changes

37e23c3141b75e4785cf398d015e3dbca41bdd56

[ "Apache-2.0" ]

443

2015-01-03T16:28:39.000Z

2021-04-26T16:39:46.000Z

tests/changes/api/test_kick_sync_repo.py

vault-the/changes

37e23c3141b75e4785cf398d015e3dbca41bdd56

[ "Apache-2.0" ]

12

2015-07-30T19:07:16.000Z

2016-11-07T23:11:21.000Z

tests/changes/api/test_kick_sync_repo.py

vault-the/changes

37e23c3141b75e4785cf398d015e3dbca41bdd56

[ "Apache-2.0" ]

47

2015-01-09T10:04:00.000Z

2020-11-18T17:58:19.000Z

import json import mock from changes.config import db from changes.testutils import APITestCase class KickSyncRepoTest(APITestCase): path = '/api/0/kick_sync_repo/' def setUp(self): self.repo = self.create_repo() db.session.commit() super(KickSyncRepoTest, self).setUp() def test...

29.705882

80

0.623762

124

1,010

4.959677

0.491935

0.039024

0.058537

0.130081

0

0.010724

0.261386

1,010

33

81

30.606061

0.813673

0

0.148148

0

0.137624

0.063366

0

0.222222

1

0.111111

false

0

0.148148

0

0.333333

0

null

0

null

0

1

0

37401799ef8790b8796a6d77073cb66a40a6c746

1,350

py

Python

send.py

b1tst0rm/pygsuite

8884d85b3bf038c4e41b6447f0c20af6b1925044

[ "MIT" ]

1

2021-06-10T16:59:57.000Z

send.py

b1tst0rm/pygsuite

8884d85b3bf038c4e41b6447f0c20af6b1925044

[ "MIT" ]

null

send.py

b1tst0rm/pygsuite

8884d85b3bf038c4e41b6447f0c20af6b1925044

[ "MIT" ]

null

#!/usr/bin/python3 import smtplib import ssl import traceback from email.message import EmailMessage import csv csv_name = input("Enter path to CSV: ") with open(csv_name) as csv_file: csv_reader = csv.reader(csv_file, delimiter=",") for row in csv_reader: title = row[0] last_name = row[1] ...

27

70

0.554074

159

1,350

4.603774

0.566038

0.036885

0.032787

0

0.012401

0.342963

1,350

49

71

27.55102

0.812852

0.094074

0

0.101678

0

1

0

false

0

0.16129

0

0.16129

0.064516

0

null

0

null

0

1

0

37403c0b4b4f8c0a873678dc2513d03b98245665

609

py

Python

falco/client_credentials.py

jasondellaluce/client-py

694780796289fdd20f1588d06e66c5a1b52ecb26

[ "Apache-2.0" ]

20

2019-10-14T15:01:14.000Z

2021-08-09T19:13:08.000Z

falco/client_credentials.py

jasondellaluce/client-py

694780796289fdd20f1588d06e66c5a1b52ecb26

[ "Apache-2.0" ]

45

2019-10-14T14:55:30.000Z

2022-02-11T03:27:37.000Z

falco/client_credentials.py

jasondellaluce/client-py

694780796289fdd20f1588d06e66c5a1b52ecb26

[ "Apache-2.0" ]

11

2019-10-14T17:41:06.000Z

2022-02-21T05:40:44.000Z

import grpc def load_file(filepath): with open(filepath, "rb") as f: return f.read() def get_grpc_channel_credentials(client_crt, client_key, ca_root): """Returns a ChannelCredentials object to use with the grpc channel https://grpc.github.io/grpc/python/grpc.html#create-client-credentials ...

27.681818

106

0.747126

82

609

5.256098

0.47561

0.074246

0.12529

0

0.165846

609

21

107

29

0.848425

0.223317

0

0.004367

0

1

0.181818

false

0

0.090909

0

0.454545

0

null

0

null

0

1

0

3741437c9d6eeb011b2b876a314bb32cbeb6caaf

2,020

py

Python

scripts/release.py

ydcjeff/api-extractor

0c8b22d75f21d08c3e7601e1bf15a37963742516

[ "MIT" ]

1

2021-07-03T18:42:38.000Z

scripts/release.py

ydcjeff/api-extractor

0c8b22d75f21d08c3e7601e1bf15a37963742516

[ "MIT" ]

1

2022-02-04T14:42:25.000Z

2022-02-06T02:21:44.000Z

scripts/release.py

ydcjeff/api-extractor

0c8b22d75f21d08c3e7601e1bf15a37963742516

[ "MIT" ]

null

# pylint: skip-file import json import subprocess import sys import api_extractor try: from semver import VersionInfo except ImportError: raise ImportError( 'semver must be installed for release. `pip install semver`' ) try: import koloro except ImportError: raise ImportError( 'koloro must be inst...

21.263158

79

0.634653

265

2,020

4.743396

0.407547

0.062053

0.059666

0.052506

0.097056

0.055688

0

0.001229

0.194554

2,020

94

80

21.489362

0.771358

0.008416

0

0.208955

0

0.287356

0

1

0.014925

false

0

0.149254

0

0.19403

0.089552

0

null

0

null

0

1

0

3743220aa5b97be4c5b07c94e92e07656a597733

674

py

Python

Exercicios Curso Em Video Mundo 3/Exe_081.py

JorgeTranin/Python_Curso_Em_Video

be74c9301aafc055bdf883be649cb8b7716617e3

[ "MIT" ]

null

Exercicios Curso Em Video Mundo 3/Exe_081.py

JorgeTranin/Python_Curso_Em_Video

be74c9301aafc055bdf883be649cb8b7716617e3

[ "MIT" ]

null

Exercicios Curso Em Video Mundo 3/Exe_081.py

JorgeTranin/Python_Curso_Em_Video

be74c9301aafc055bdf883be649cb8b7716617e3

[ "MIT" ]

null

''' Exercício Python 081: Crie um programa que vai ler vários números e colocar em uma lista. Depois disso, mostre: A) Quantos números foram digitados. B) A lista de valores, ordenada de forma decrescente. C) Se o valor 5 foi digitado e está ou não na lista. ''' lista = list() while True: lista.append(int(input(...

21.741935

57

0.675074

113

674

4.026549

0.628319

0.03956

0.046154

0.043956

0.083516

0

0.014981

0.207715

674

30

58

22.466667

0.837079

0.376855

0

0.441463

0

1

0

false

0

0.307692

0

null

0

null

0

1

0

374483f15bf635d6c70ab7f2db45d14d34cefa97

1,327

py

Python

vulnhub/venus/exploit_not_1337_version.py

nhtri2003gmail/ctf-write-ups

7e969c47027c39b614e10739ae3a953eed17dfa3

[ "MIT" ]

101

2020-03-09T17:40:47.000Z

2022-03-31T23:26:55.000Z

vulnhub/venus/exploit_not_1337_version.py

nhtri2003gmail/ctf-write-ups

7e969c47027c39b614e10739ae3a953eed17dfa3

[ "MIT" ]

1

2021-11-09T13:39:40.000Z

2021-11-10T19:15:04.000Z

vulnhub/venus/exploit_not_1337_version.py

datajerk/ctf-write-ups

1bc4ecc63a59de7d924c7214b1ce467801792da0

[ "MIT" ]

31

2020-05-27T12:29:50.000Z

2022-03-31T23:23:32.000Z

#!/usr/bin/env python3 from pwn import * binary = context.binary = ELF('./venus_messaging') if args.REMOTE: #p = remote('172.19.2.239',9080) #port blocked? workaround: ssh -L 9080:localhost:9080 magellan@172.19.2.239 p = remote('localhost',9080) libc = ELF('./libc.so.6') # lame no ASLR ''' # ldd /usr/bin/venu...

25.519231

76

0.6948

212

1,327

4.283019

0.410377

0.132159

0.030837

0.019824

0.248899

0.169604

0

0.122432

0.119819

1,327

51

77

26.019608

0.654966

0.104748

0

0.235294

0

0.184263

0.030876

0

0.043825

0

1

0

false

0.029412

0

0.029412

0

null

0

null

0

1

0

37495eaeb03f7a3a0e3a85e6649c760538db37b4

9,932

py

Python

Blinkenlights/clients/cal.py

mbalasz/Blinkenlights

f95cb40fb6c9c078ed174a2b70e74f20084db124

[ "Apache-2.0" ]

3

2021-05-23T20:16:03.000Z

2022-02-16T15:52:19.000Z

Blinkenlights/clients/cal.py

mbalasz/Blinkenlights

f95cb40fb6c9c078ed174a2b70e74f20084db124

[ "Apache-2.0" ]

2

2021-06-15T14:01:01.000Z

2021-07-08T13:31:10.000Z

Blinkenlights/clients/cal.py

mbalasz/Blinkenlights

f95cb40fb6c9c078ed174a2b70e74f20084db124

[ "Apache-2.0" ]

7

2021-06-07T11:36:04.000Z

2021-10-31T23:18:10.000Z

#!/usr/bin/python3 # Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agr...

34.971831

97

0.592429

1,312

9,932

4.398628

0.297256

0.027725

0.02062

0.014556

0.106221

0.065846

0.015942

0

0.026715

0.283931

9,932

283

98

35.095406

0.78473

0.197644

0

0.085

0

0.130566

0.003785

0

0.003534

0

1

0.09

false

0

0.05

0.025

0.205

0.025

0

null

0

null

0

1

0

3749d562b21ac17eff7db98c573f8f834fbad3b1

6,455

py

Python

edivorce/apps/core/views/efiling.py

seeker25/eDivorce

e0c56424f97a30b74930b35d774c30d7be25b5a1

[ "Apache-2.0" ]

null

edivorce/apps/core/views/efiling.py

seeker25/eDivorce

e0c56424f97a30b74930b35d774c30d7be25b5a1

[ "Apache-2.0" ]

null

edivorce/apps/core/views/efiling.py

seeker25/eDivorce

e0c56424f97a30b74930b35d774c30d7be25b5a1

[ "Apache-2.0" ]

null

import base64 import random import re from django.conf import settings from django.contrib import messages from django.shortcuts import redirect from django.urls import reverse from django.contrib.auth.decorators import login_required from ..decorators import prequal_completed from ..models import Document, UserRespo...

32.933673

117

0.698993

808

6,455

5.311881

0.238861

0.033551

0.029357

0.040774

0.337139

0.288677

0.199674

0.162861

0.102516

0.078751

0

0.009977

0.208056

6,455

195

118

33.102564

0.829617

0.027576

0

0.246479

0

0.145437

0.052102

0

1

0.070423

false

0

0.098592

0.028169

0.274648

0

null

0

null

0

1

0

374dd8193ca54427fd3b47ebd2fa213180ba8a3d

796

py

Python

pyasn1_modules/rfc3537.py

alvistack/etingof-pyasn1-modules

bdbcc5d9650a8e8382979f089df3307dd4121b49

[ "BSD-2-Clause" ]

34

2016-04-03T09:10:31.000Z

2022-02-12T20:38:31.000Z

pyasn1_modules/rfc3537.py

alvistack/etingof-pyasn1-modules

bdbcc5d9650a8e8382979f089df3307dd4121b49

[ "BSD-2-Clause" ]

138

2017-05-31T09:25:10.000Z

2022-02-07T09:00:19.000Z

pyasn1_modules/rfc3537.py

alvistack/etingof-pyasn1-modules

bdbcc5d9650a8e8382979f089df3307dd4121b49

[ "BSD-2-Clause" ]

36

2016-03-16T00:37:04.000Z

2021-11-12T12:09:43.000Z

# # This file is part of pyasn1-modules software. # # Created by Russ Housley. # # Copyright (c) 2019, Vigil Security, LLC # License: http://snmplabs.com/pyasn1/license.html # # SEED Encryption Algorithm in CMS # # ASN.1 source from: # https://www.rfc-editor.org/rfc/rfc4010.txt # from pyasn1.type import constraint fro...

22.742857

77

0.757538

108

796

5.481481

0.601852

0.033784

0.047297

0.067568

0.121622

0

0.091954

0.125628

796

34

78

23.411765

0.758621

0.383166

0

0.109244

0

1

0

false

0

0.3

0

0.3

0

null

0

null

0

1

0

374f3b7ef3585b1770c1ec627dee8e6fd5b66ec8

6,195

py

Python

pylibs/benchmarking/tests/test_run_bench/test_benchmark_driver.py

famousyub/smartyphp

2691233a8993b8902c6a3d533a6e3f1fe44fe0f8

[ "MIT" ]

359

2018-06-16T02:42:54.000Z

2022-03-21T06:39:26.000Z

pylibs/benchmarking/tests/test_run_bench/test_benchmark_driver.py

famousyub/smartyphp

2691233a8993b8902c6a3d533a6e3f1fe44fe0f8

[ "MIT" ]

257

2018-07-03T22:08:27.000Z

2022-03-31T18:45:04.000Z

pylibs/benchmarking/tests/test_run_bench/test_benchmark_driver.py

famousyub/smartyphp

2691233a8993b8902c6a3d533a6e3f1fe44fe0f8

[ "MIT" ]

77

2018-06-16T04:00:29.000Z

2022-02-19T03:07:58.000Z

#!/usr/bin/env python ############################################################################## # Copyright 2017-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. ################################...

28.548387

85

0.528168

671

6,195

4.734724

0.193741

0.089707

0.101668

0.062323

0.603399

0.506453

0.380548

0.376456

0.367013

0.308467

0

0.097209

0.305892

6,195

216

86

28.680556

0.641628

0.035028

0

0.46988

0

0.078775

0

0.168675

1

0.114458

false

0

0.012048

0.006024

0.180723

0

null

0

null

0

1

0

3752450480eea1c7e55ce4fc9b56d64c75873411

4,604

py

Python

ADT/Homework 9/HashTables/HashTable.py

Devang-25/CS-Jacobs

d56a70c13ce3863bcf3140990fab5b634b30a2af

[ "MIT" ]

null

ADT/Homework 9/HashTables/HashTable.py

Devang-25/CS-Jacobs

d56a70c13ce3863bcf3140990fab5b634b30a2af

[ "MIT" ]

null

ADT/Homework 9/HashTables/HashTable.py

Devang-25/CS-Jacobs

d56a70c13ce3863bcf3140990fab5b634b30a2af

[ "MIT" ]

null

class Node: # Defining a Node def __init__(self, key=None, value=None): """A Node Class Keyword Arguments: key {int} -- The unique key for a Node (default: {None}) value {int} -- The data for the the Node (default: {None}) """ self.key = key self....

32.885714

86

0.572546

573

4,604

4.572426

0.249564

0.024046

0.034351

0.026336

0.2

0.093511

0.035115

0

0.016279

0.346221

4,604

139

87

33.122302

0.854153

0.399001

0

0.163636

0

0.076699

0

1

0.109091

false

0

0.254545

0.072727

0

null

0

null

0

1

0

375570af4f92c8f4e216e1ebc0166477badfeb09

1,213

py

Python

chapter11/step02/train_model.py

UserAdminD3us/Microsoft-Certified-Azure-Data-Scientist-Associate-Certification-Guide

62873b5a99120d240a8df8c0b7f81e6c95d5be02

[ "MIT" ]

null

chapter11/step02/train_model.py

UserAdminD3us/Microsoft-Certified-Azure-Data-Scientist-Associate-Certification-Guide

62873b5a99120d240a8df8c0b7f81e6c95d5be02

[ "MIT" ]

null

chapter11/step02/train_model.py

UserAdminD3us/Microsoft-Certified-Azure-Data-Scientist-Associate-Certification-Guide

62873b5a99120d240a8df8c0b7f81e6c95d5be02

[ "MIT" ]

null

import argparse import os import lightgbm as lgb import joblib parser = argparse.ArgumentParser() parser.add_argument( "--learning-rate", type=float, dest="learning_rate", help="Learning date for LightGBM", default=0.01, ) parser.add_argument( "--input-path", type=str, dest="input_path...

22.054545

86

0.690025

162

1,213

4.993827

0.41358

0.086527

0.063041

0.037083

0.091471

0

0.004921

0.162407

1,213

54

87

22.462963

0.791339

0

0.106383

0

0.258038

0.018137

0

1

0

false

0

0.085106

0

0.085106

0.021277

0

null

0

null

0

1

0

37567441cec8df2625f386786c43826f9d7358ea

6,446

py

Python

log_parser/__init__.py

kozlovzxc/python-log-parser

a7b5c2b489e7cece437dfc36746ff58399646fd0

[ "MIT" ]

null

log_parser/__init__.py

kozlovzxc/python-log-parser

a7b5c2b489e7cece437dfc36746ff58399646fd0

[ "MIT" ]

null

log_parser/__init__.py

kozlovzxc/python-log-parser

a7b5c2b489e7cece437dfc36746ff58399646fd0

[ "MIT" ]

null

from pyparsing import * from string import printable, uppercase from dateutil import parser as dateutil_parser import yaml class LogParser(object): ACCESS_LOG_VARS = { 'request.first_line' : Word(uppercase)('request.method')+\ Literal(" ")+\ SkipTo(" ")('request....

42.973333

134

0.477195

564

6,446

5.265957

0.271277

0.03771

0.036364

0.038384

0.134007

0.116498

0.093603

0

0.005415

0.398387

6,446

149

135

43.261745

0.760444

0.032578

0

0.161765

0

0.113465

0.021987

0

1

0.036765

false

0

0.029412

0.014706

0.25

0.029412

0

null

0

null

0

1

0

37578518bee7829df262610a24f622d6d408232d

12,196

py

Python

python/biograph/vdb/parquet_test.py

spiralgenetics/biograph

33c78278ce673e885f38435384f9578bfbf9cdb8

[ "BSD-2-Clause" ]

16

2021-07-14T23:32:31.000Z

2022-03-24T16:25:15.000Z

python/biograph/vdb/parquet_test.py

spiralgenetics/biograph

33c78278ce673e885f38435384f9578bfbf9cdb8

[ "BSD-2-Clause" ]

9

2021-07-20T20:39:47.000Z

2021-09-16T20:57:59.000Z

python/biograph/vdb/parquet_test.py

spiralgenetics/biograph

33c78278ce673e885f38435384f9578bfbf9cdb8

[ "BSD-2-Clause" ]

9

2021-07-15T19:38:35.000Z

2022-01-31T19:24:56.000Z

# pylint: disable=missing-docstring import unittest import gzip import tempfile from biograph.vdb import vcf_to_parquet, anno_to_parquet import biograph.vdb.parquet import pyarrow as pa import pandas as pd class ParquetTestCases(unittest.TestCase): def setUp(self): # Make sure we test having multiple inp...

45.00369

269

0.38816

1,066

12,196

4.333959

0.287993

0.040476

0.042857

0.024675

0.470563

0.398485

0.366667

0.331169

0.311039

0.301299

0

0.084639

0.455559

12,196

270

45.17037

0.611145

0.044605

0

0.583333

0

0.004167

0.180087

0.030655

0

0.00222

0

0.104167

1

0.033333

false

0

0.029167

0

0.075

0

null

0

null

0

1

0

375827b6a9a91f6310a50237f1737c67e7e7e925

2,430

py

Python

bot/libraries/helper.py

Feyko/FICSIT-Fred

94f049214d82d61862fe03405a2fd60a51e48177

[ "MIT" ]

5

2020-05-24T21:29:34.000Z

2022-02-04T03:09:18.000Z

bot/libraries/helper.py

Feyko/FICSIT-Fred

94f049214d82d61862fe03405a2fd60a51e48177

[ "MIT" ]

33

2021-08-02T16:41:48.000Z

2022-03-31T21:22:10.000Z

bot/libraries/helper.py

Feyko/FICSIT-Fred

94f049214d82d61862fe03405a2fd60a51e48177

[ "MIT" ]

3

2021-03-03T18:48:27.000Z

2021-07-28T12:23:27.000Z

import re import asyncio from html.parser import HTMLParser import aiohttp from discord.ext import commands import config def is_bot_author(id: int): return id == 227473074616795137 async def t3_only(ctx): return is_bot_author(ctx.author.id) or permission_check(ctx, 4) async def mod_only(ctx): return ...

26.413043

112

0.597531

328

2,430

4.301829

0.393293

0.031892

0.023388

0.021262

0.145996

0.077959

0

0.014013

0.265844

2,430

91

113

26.703297

0.776906

0.025514

0

0.057971

0

0.095983

0

1

0.101449

false

0.014493

0.086957

0.014493

0.347826

0

null

0

null

0

1

0

37589b5d5e93593f28c9b4b9003c4e6bfe3a425e

8,419

py

Python

src/build_df_to_plot.py

crahal/centgovspend

82ae1f63ec735da59cbe75dd47eda51d202d7555

[ "MIT" ]

4

2018-06-23T09:08:29.000Z

2021-11-11T18:27:50.000Z

src/build_df_to_plot.py

crahal/centgovspend

82ae1f63ec735da59cbe75dd47eda51d202d7555

[ "MIT" ]

null

src/build_df_to_plot.py

crahal/centgovspend

82ae1f63ec735da59cbe75dd47eda51d202d7555

[ "MIT" ]

null

import glob import ntpath import pandas as pd def build_timely_df(payments): ''' build the longitudinal dataset for figure 2b ''' timely_df = pd.DataFrame(columns=['Number of Payments', 'Value of Payments']) for year in list(range(2009, 2018)): timel...

47.835227

112

0.473215

868

8,419

4.420507

0.228111

0.043784

0.080271

0.069325

0.545478

0.434715

0.365911

0.35705

0.338546

0.314829

0

0.058424

0.369759

8,419

175

113

48.108571

0.664342

0.010334

0

0.251613

0

0.168734

0.005403

0

1

0.058065

false

0.006452

0.019355

0.135484

0

null

0

null

0

1

0

375baab0f35211b2da08b1e7f0a7cfd2b213edad

361

py

Python

imagekitio/constants/files.py

samims/imagekit-python

4bc8041e22c6333710645ddc95446c9c348eea5b

[ "MIT" ]

1

2020-01-20T16:56:32.000Z

imagekitio/constants/files.py

samims/imagekit-python

4bc8041e22c6333710645ddc95446c9c348eea5b

[ "MIT" ]

null

imagekitio/constants/files.py

samims/imagekit-python

4bc8041e22c6333710645ddc95446c9c348eea5b

[ "MIT" ]

null

VALID_FILE_OPTIONS = [ "path", "fileType", "tags", "includeFolder", "name", "limit", "skip", ] VALID_FILE_DETAIL_OPTIONS = ["fileID"] VALID_UPLOAD_OPTIONS = [ "file", "file_name", "use_unique_file_name", "tags", "folder", "is_private_file", "custom_coordinates",...

15.041667

38

0.581717

35

361

5.571429

0.657143

0.092308

0

0.257618

361

23

39

15.695652

0.727612

0

0.095238

0

0.407202

0

1

0

false

0

null

0

null

0

1

0

375c80d3b986b5561b93d213ff84e9281e6dd2b6

9,972

py

Python

src/getContents.py

ajayz09/amazon-textract

bea3028596d6b60482017e12b80cbb0d2b91d3a5

[ "Apache-2.0" ]

1

2021-01-03T01:23:52.000Z

src/getContents.py

ajayz09/amazon-textract

bea3028596d6b60482017e12b80cbb0d2b91d3a5

[ "Apache-2.0" ]

null

src/getContents.py

ajayz09/amazon-textract

bea3028596d6b60482017e12b80cbb0d2b91d3a5

[ "Apache-2.0" ]

null

import os import time import csv import pandas as pd def formatdate(paymentDate): months = dict(january='01', february='02', march='03', april='04', may='05', june='06', july='07', august='08', september='09', october='10', november='11', december='12') paymentDateList = paymentDate.split() if (len(payment...

38.206897

175

0.586843

920

9,972

6.3

0.166304

0.008282

0.037267

0.022774

0.504658

0.478088

0.441511

0.43668

0.414941

0.412698

0

0.007577

0.298536

9,972

261

176

38.206897

0.821015

0.018853

0

0.556034

0

0.088575

0.038662

0

1

0.056034

false

0

0.017241

0

0.189655

0.064655

0

null

0

null

0

1

0

375e6389f147aa8b980167ffea1afe5678abb33e

4,203

py

Python

sspace/backends/cspace.py

Epistimio/sample-space

5435b7f97a5c9dea279271033fd4582dbd77211f

[ "BSD-3-Clause" ]

null

sspace/backends/cspace.py

Epistimio/sample-space

5435b7f97a5c9dea279271033fd4582dbd77211f

[ "BSD-3-Clause" ]

6

2020-05-23T02:16:40.000Z

2022-03-16T01:37:45.000Z

sspace/backends/cspace.py

Epistimio/sample-space

5435b7f97a5c9dea279271033fd4582dbd77211f

[ "BSD-3-Clause" ]

null

import_error = None try: import ConfigSpace as cs import ConfigSpace.hyperparameters as csh from sspace.utils import sort_dict cond_dispatch_leaves = { 'eq': cs.EqualsCondition, 'ne': cs.NotEqualsCondition, 'lt': cs.LessThanCondition, 'gt': cs.GreaterThanCondition, ...

28.787671

97

0.600999

457

4,203

5.374179

0.266958

0.017101

0.030945

0.013436

0.245521

0.210098

0.185668

0.098534

0.049674

0

0.29931

4,203

145

98

28.986207

0.833956

0

0.113208

0

0.044016

0

1

0.084906

false

0

0.075472

0.009434

0.283019

0

null

0

null

0

1

0

3761ad381b725114e1ca90dc5552b488a21daeb4

16,128

py

Python

models/roberta.py

tjdevWorks/multimodal-sentiment-prediction

cc656817f12e9676f59dd66c134a365bad8cbcec

[ "Apache-2.0" ]

8

2022-02-04T20:37:26.000Z

2022-03-30T03:18:04.000Z

models/roberta.py

tjdevWorks/multimodal-sentiment-prediction

cc656817f12e9676f59dd66c134a365bad8cbcec

[ "Apache-2.0" ]

1

2022-02-13T22:44:30.000Z

2022-02-13T23:15:34.000Z

models/roberta.py

tjdevWorks/TEASEL

cc656817f12e9676f59dd66c134a365bad8cbcec

[ "Apache-2.0" ]

null

from transformers import RobertaPreTrainedModel from transformers.models.roberta.modeling_roberta import RobertaEmbeddings, RobertaEncoder, RobertaPooler, RobertaLMHead, RobertaClassificationHead from transformers.modeling_outputs import BaseModelOutputWithPoolingAndCrossAttentions, MaskedLMOutput, SequenceClassifierOu...

44.8

213

0.667783

2,018

16,128

5.061447

0.153617

0.036421

0.021147

0.014

0.418837

0.334737

0.31868

0.255042

0.217838

0.198159

0

0.004591

0.257254

16,128

359

214

44.924791

0.848067

0.264447

0

0.471545

0

0.045072

0.017108

0

1

0.044715

false

0

0.020325

0.00813

0.130081

0

null

0

null

0

1

0

3762cff1ab3661bebf0065d7a9d2efca756c6d5d

14,847

py

Python

packages/pdf/src/RPA/PDF/keywords/finder.py

AntonStange/rpaframework

2a6a4abe56c7fece4f9cfed1ba488774393abdd8

[ "Apache-2.0" ]

25

2020-03-30T09:01:11.000Z

2020-05-21T04:04:58.000Z

packages/pdf/src/RPA/PDF/keywords/finder.py

AntonStange/rpaframework

2a6a4abe56c7fece4f9cfed1ba488774393abdd8

[ "Apache-2.0" ]

2

2020-04-02T18:08:58.000Z

2020-05-27T12:07:19.000Z

packages/pdf/src/RPA/PDF/keywords/finder.py

AntonStange/rpaframework

2a6a4abe56c7fece4f9cfed1ba488774393abdd8

[ "Apache-2.0" ]

7

2020-04-02T17:17:26.000Z

2020-05-27T04:18:54.000Z

import functools import math import re from dataclasses import dataclass try: # Python >=3.7 from re import Pattern except ImportError: # Python =3.6 from re import _pattern_type as Pattern from typing import ( Callable, Dict, List, Optional, Union, ) from RPA.PDF.keywords import (...

34.052752

88

0.579309

1,648

14,847

5.099515

0.169296

0.020228

0.007853

0.008567

0.297953

0.240124

0.212042

0.191218

0.178605

0.160162

0

0.004541

0.332525

14,847

435

89

34.131034

0.843491

0.253587

0

0.23913

0

0.003623

0.055556

0

1

0.047101

false

0

0.036232

0

0.184783

0

null

0

null

0

1

0

37637a324f01571ae1690b30b0221a8ae45d7ede

2,662

py

Python

ctimer/cli.py

zztin/ctimer

a0721bb9791b23305ee4ff4a2eb30a1f4d8c80cc

[ "Apache-2.0" ]

null

ctimer/cli.py

zztin/ctimer

a0721bb9791b23305ee4ff4a2eb30a1f4d8c80cc

[ "Apache-2.0" ]

35

2020-06-07T12:40:43.000Z

2021-06-03T19:56:01.000Z

ctimer/cli.py

zztin/ctimer

a0721bb9791b23305ee4ff4a2eb30a1f4d8c80cc

[ "Apache-2.0" ]

1

2020-06-04T05:31:03.000Z

"""Console script for ctimer.""" from ctimer import ctimer import ctimer.ctimer_db as db import sys import argparse from ctimer.visual import show_stats as ss import logging from ctimer import utils def main(): parser = argparse.ArgumentParser() parser.add_argument( "--debug", help="Shorten cl...

31.690476

160

0.616454

344

2,662

4.610465

0.392442

0.034048

0.08575

0.066204

0.286255

0.261034

0.136192

0

0.005708

0.276108

2,662

83

161

32.072289

0.817333

0.027423

0

0.253333

0

0.026667

0.300271

0.020922

0

1

0.013333

false

0

0.093333

0

0.106667

0

null

0

null

0

1

0

37667d129be38ecf142b51cf7166051726ad367a

5,256

py

Python

ZoomImage.py

renshj/High-Cadence-Processing

5d5a2df741858f6e1466d7c4b008e9245d4b780a

[ "MIT" ]

null

ZoomImage.py

renshj/High-Cadence-Processing

5d5a2df741858f6e1466d7c4b008e9245d4b780a

[ "MIT" ]

null

ZoomImage.py

renshj/High-Cadence-Processing

5d5a2df741858f6e1466d7c4b008e9245d4b780a

[ "MIT" ]

null

#This file was created by Wayne Dreyer #It serves to create a zoomed/cropped image around the detected candidate import matplotlib.pyplot as plt from matplotlib.figure import Figure from PIL import Image import math from ZoomObject import ZoomObject #import DataObject as dataObject #Takes in path to the ima...

46.105263

265

0.682839

664

5,256

5.40512

0.274096

0.030092

0.033436

0.025634

0.355531

0.31095

0.246308

0

0.014081

0.216324

5,256

113

266

46.513274

0.857247

0.277017

0

0.15

0

0.010932

0

1

0.075

false

0

0.0625

0

0.1625

0

null

0

null

0

1

0

37668c7ab8f618318b3325cde0c87efe87b84f7c

2,032

py

Python

service/dataset_builder.py

sumanthgenz/magma

44a6c8b834fbf683c959ce336c6cdfe1df828980

[ "MIT" ]

null

service/dataset_builder.py

sumanthgenz/magma

44a6c8b834fbf683c959ce336c6cdfe1df828980

[ "MIT" ]

null

service/dataset_builder.py

sumanthgenz/magma

44a6c8b834fbf683c959ce336c6cdfe1df828980

[ "MIT" ]

null

import pickle import glob import random from tqdm import tqdm import os import collections import urllib import urllib.request from urllib.request import Request, urlopen import json import shutil class DatasetBuilder: def __init__(self, name, data_type, classes, class_size): self.name = name self...

30.787879

130

0.633858

275

2,032

4.530909

0.432727

0.052167

0.020867

0

0.020739

0.24065

2,032

65

131

31.261538

0.786779

0

0.039216

0

0.019608

0.140748

0.011811

0

1

0.137255

false

0.039216

0.215686

0

0.45098

0

null

0

null

0

1

0

37682a93288511c01d92701ef4ba444acd620a71

391

py

Python

app.py

flyme2bluemoon/Flask-Project-Template

0a2953e4ec77ec577b13655856ab162efb536d4a

[ "MIT" ]

null

app.py

flyme2bluemoon/Flask-Project-Template

0a2953e4ec77ec577b13655856ab162efb536d4a

[ "MIT" ]

null

app.py

flyme2bluemoon/Flask-Project-Template

0a2953e4ec77ec577b13655856ab162efb536d4a

[ "MIT" ]

null

from helpers import * from flask import Flask, redirect, request, render_template, session from flask_session import Session app = Flask(__name__) app.config["TEMPLATES_AUTO_RELOAD"] = True app.config["SESSION_PERMANENT"] = False app.config["SESSION_TYPE"] = "filesystem" Session(app) @app.route("/") def index(): ...

23

68

0.7289

54

391

4.944444

0.555556

0.101124

0.11985

0

0.01173

0.127877

391

17

69

23

0.771261

0

0.206633

0.053571

0

1

0.076923

false

0

0.230769

0.076923

0.384615

0

null

0

null

0

1

0

3768f3ba1595d85981a62e468f1663abf36a9838

7,179

py

Python

mmf/utils/logger.py

san2597/mmf

c0812e9281c6e679cb7f00af78a5eda267820aab

[ "BSD-3-Clause" ]

2

2021-02-22T12:15:42.000Z

2021-05-02T15:22:24.000Z

mmf/utils/logger.py

san2597/mmf

c0812e9281c6e679cb7f00af78a5eda267820aab

[ "BSD-3-Clause" ]

7

2021-03-01T21:16:26.000Z

2022-02-27T07:07:11.000Z

mmf/utils/logger.py

krantirk/MMF

2e4acaad7ca8eee4319e1205a560eed81733a0be

[ "BSD-3-Clause" ]

1

2022-03-04T14:19:43.000Z

# Copyright (c) Facebook, Inc. and its affiliates. import collections import json import logging import os import sys from typing import Type from mmf.utils.configuration import get_mmf_env from mmf.utils.distributed import is_master from mmf.utils.file_io import PathManager from mmf.utils.timer import Timer class ...

32.337838

86

0.620003

892

7,179

4.764574

0.206278

0.032941

0.025412

0.017647

0.326118

0.273882

0.192

0.140706

0.108706

0

0.000776

0.281794

7,179

221

87

32.484163

0.823507

0.068533

0

0.265823

0

0.042061

0.003906

0

1

0.094937

false

0.006329

0.06962

0

0.259494

0.025316

0

null

0

null

0

1

0

376ac08cf10241073ec03135469cc20f62b04104

1,710

py

Python

mex.py

hagai-helman/mex

d4ee6f79dd0f96346a1b16727e5aa91ab808aed5

[ "MIT" ]

null

mex.py

hagai-helman/mex

d4ee6f79dd0f96346a1b16727e5aa91ab808aed5

[ "MIT" ]

null

mex.py

hagai-helman/mex

d4ee6f79dd0f96346a1b16727e5aa91ab808aed5

[ "MIT" ]

null

class MexFinder: """This class collects non-negative integers, and finds the minimal non-negative integer that was not added to it. """ def __init__(self): # We maintain a dict, representing a set, with the following # invariants: # (a) Its keys are the elements of the set (and -...

32.884615

78

0.580117

249

1,710

3.927711

0.37751

0.051125

0.07362

0.064417

0.216769

0.143149

0.0818

0

0.010408

0.325731

1,710

51

79

33.529412

0.837814

0.562573

0

1

0.190476

false

0

0.428571

0

null

0

null

0

1

0

376b687ba9788b6a0541074221d59f6f3f6f83f8

1,672

py

Python

tests/conftest.py

karolow/geocoder

e88014015a3ae2643203944401e7e4030948a635

[ "MIT" ]

null

tests/conftest.py

karolow/geocoder

e88014015a3ae2643203944401e7e4030948a635

[ "MIT" ]

null

tests/conftest.py

karolow/geocoder

e88014015a3ae2643203944401e7e4030948a635

[ "MIT" ]

null

from collections import namedtuple from pytest import fixture from geocoder.geocoding import ( Addresses, Coordinates, ) @fixture def mock_csv_coordinates(tmp_path): data = [ "city,street,number,postal_code,state,lon,lat", "Katowice,Armii Krajowej,102,40-671,istniejacy,259921.7313,498200....

28.827586

80

0.668062

203

1,672

5.384236

0.359606

0.045746

0.038426

0.054895

0.307411

0.254346

0

0.088775

0.184809

1,672

57

81

29.333333

0.713133

0

0.326087

0

0.294856

0.184211

0

1

0.108696

false

0

0.065217

0

0.23913

0

null

0

null

0

1

0

376df6d7f89516a0e412a13d0db28bac87a6c75e

7,176

py

Python

update/update_db.py

reclada/db

09dfdeaad8d1f48082aa0512eed7ba3394f1d737

[ "Apache-2.0" ]

null

update/update_db.py

reclada/db

09dfdeaad8d1f48082aa0512eed7ba3394f1d737

[ "Apache-2.0" ]

2

2021-06-04T11:42:27.000Z

2021-06-04T16:16:21.000Z

update/update_db.py

reclada/db

09dfdeaad8d1f48082aa0512eed7ba3394f1d737

[ "Apache-2.0" ]

2

2021-04-16T09:00:04.000Z

2021-06-23T12:07:45.000Z

import os import json import stat from pathlib import Path import sys import urllib.parse import uuid import shutil os.chdir(os.path.dirname(os.path.abspath(__file__))) j = '' with open('update_config.json') as f: j = f.read() j = json.loads(j) branch_db = j["branch_db"] branch_runtime = j["branch_runtime"] bran...

28.589641

133

0.603958

1,000

7,176

4.131

0.216

0.038732

0.013556

0.019366

0.134834

0.088114

0.054708

0.044057

0.029049

0

0.019561

0.244844

7,176

251

134

28.589641

0.742757

0.013657

0

0.178571

0

0.237173

0.049611

0

1

0.071429

false

0.005102

0.040816

0.010204

0.153061

0.030612

0

null

0

null

0

1

0

376fcab57617bb6cde8c9472e7ac7b41d22d82ce

15,579

py

Python

yoyo/tests/test_migrations.py

emurphy/yoyo

f9a32d5448970da3a81041692420d5def490b7b0

[ "Apache-2.0" ]

null

yoyo/tests/test_migrations.py

emurphy/yoyo

f9a32d5448970da3a81041692420d5def490b7b0

[ "Apache-2.0" ]

null

yoyo/tests/test_migrations.py

emurphy/yoyo

f9a32d5448970da3a81041692420d5def490b7b0

[ "Apache-2.0" ]

null

# Copyright 2015 Oliver Cope # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...

35.649886

86

0.642275

1,950

15,579

4.926667

0.144615

0.034975

0.039554

0.012491

0.588633

0.525034

0.506089

0.457895

0.435516

0.404393

0

0.020156

0.232492

15,579

436

87

35.731651

0.783307

0.073368

0

0.417857

0

0.107761

0.005396

0

0.15

1

0.135714

false

0

0.042857

0.003571

0.210714

0

null

0

null

0

1

0

377084db60ebee117b24913239fec5ff9e73b737

2,613

py

Python

aiogram_oop_framework/core/project.py

drforse/aiogram_oop_framework

ee56b6a0893300fea43f01c2f4c4ea8b5fae1424

[ "MIT" ]

null

aiogram_oop_framework/core/project.py

drforse/aiogram_oop_framework

ee56b6a0893300fea43f01c2f4c4ea8b5fae1424

[ "MIT" ]

null

aiogram_oop_framework/core/project.py

drforse/aiogram_oop_framework

ee56b6a0893300fea43f01c2f4c4ea8b5fae1424

[ "MIT" ]

null

from pathlib import Path from aiogram_oop_framework.core.funcs import get_init_py class ProjectStructure: def __init__(self, project: 'Project'): self.root: Path = project.path / project.name self.directories = {'root': {'directory': self.root, 'tree': {}}} def add_dir_to_root(self, name: st...

34.381579

104

0.566781

304

2,613

4.700658

0.236842

0.115465

0.06648

0.046186

0.279916

0.249825

0.176347

0

0.307692

2,613

75

105

34.84

0.789939

0.083046

0

0.188679

0

0.068653

0

1

0.150943

false

0

0.037736

0

0.226415

0

null

0

null

0

1

0

37756f838d9a991c6fb09146913f58963f4cf285

3,149

py

Python

gender_detection_keras.py

matejcrnac/Face_deidentification_kazemi

434fff49b5a7b555bb3c56a62915fd502e0b75f9

[ "MIT" ]

1

2019-03-27T10:30:54.000Z

gender_detection_keras.py

matejcrnac/Face_deidentification_kazemi

434fff49b5a7b555bb3c56a62915fd502e0b75f9

[ "MIT" ]

null

gender_detection_keras.py

matejcrnac/Face_deidentification_kazemi

434fff49b5a7b555bb3c56a62915fd502e0b75f9

[ "MIT" ]

null

#Classifier 1------------------------------------------------------------- # author: Arun Ponnusamy # website: https://www.arunponnusamy.com # import necessary packages from keras.preprocessing.image import img_to_array from keras.models import load_model import numpy as np import cv2 import cvlib as cv class Gend...

33.5

117

0.659257

414

3,149

4.78744

0.335749

0.040363

0.090817

0.110999

0.258325

0.244198

0.221998

0

0.050778

0.224516

3,149

93

118

33.860215

0.760852

0.158463

0

0.29962

0.274525

0

1

0.058824

false

0

0.098039

0

0.235294

0.078431

0

null

0

null

0

1

0

3775c014edc4cfe9bbf99059dbab03441eae21fe

3,389

py

Python

dnppy/convert/_extract_HDF_layer_data.py

NASA-DEVELOP/dnppy

8f7ef6f0653f5a4ea730ee557c72a2c89c06ce0b

[ "NASA-1.3" ]

65

2015-09-10T12:59:56.000Z

2022-02-27T22:09:03.000Z

dnppy/convert/_extract_HDF_layer_data.py

snowzm/dnppy

8f7ef6f0653f5a4ea730ee557c72a2c89c06ce0b

[ "NASA-1.3" ]

40

2015-04-08T19:23:30.000Z

2015-08-04T15:53:11.000Z

dnppy/convert/_extract_HDF_layer_data.py

snowzm/dnppy

8f7ef6f0653f5a4ea730ee557c72a2c89c06ce0b

[ "NASA-1.3" ]

45

2015-08-14T19:09:38.000Z

2022-02-15T18:53:16.000Z

__author__ = ['djjensen', 'jwely'] __all__ = ["_extract_HDF_layer_data"] import gdal import os def _extract_HDF_layer_data(hdfpath, layer_indexs = None): """ Extracts one or more layers from an HDF file and returns a dictionary with all the data available in the HDF layer for use in further format conver...

33.89

154

0.691059

475

3,389

4.764211

0.397895

0.048608

0.046399

0.058772

0.188688

0.175873

0.114892

0

0.06448

0.208321

3,389

99

155

34.232323

0.778979

0.594571

0

0.037037

0.153907

0.106551

0

1

0.037037

false

0

0.074074

0

0.148148

0.074074

0

null

0

null

0

1

0

377821387853d45c0c5a9841c83920bc6e3f180e

1,964

py

Python

network/R2plus1d.py

sabarim/3DC-Seg

210ee5b9ddebfed7b44c544e2eeb8c3d00e2a7d7

[ "MIT" ]

50

2020-09-11T07:57:49.000Z

2022-03-27T06:37:37.000Z

network/R2plus1d.py

sabarim/3DC-Seg

210ee5b9ddebfed7b44c544e2eeb8c3d00e2a7d7

[ "MIT" ]

15

2020-09-11T12:54:34.000Z

2022-01-13T08:38:38.000Z

network/R2plus1d.py

sabarim/3DC-Seg

210ee5b9ddebfed7b44c544e2eeb8c3d00e2a7d7

[ "MIT" ]

12

2020-10-01T07:29:53.000Z

2021-09-18T11:00:49.000Z

import torch from torch import nn from torchvision.models.video.resnet import VideoResNet, BasicBlock, Conv2Plus1D, R2Plus1dStem model_urls = { "r2plus1d_34_8_ig65m": "https://github.com/moabitcoin/ig65m-pytorch/releases/download/v1.0.0/r2plus1d_34_clip8_ig65m_from_scratch-9bae36ae.pth", # noqa: E501 ...

44.636364

171

0.682281

260

1,964

4.961538

0.4

0.069767

0.065116

0.074419

0.293798

0.277519

0.24186

0

0.116592

0.205193

1,964

43

172

45.674419

0.709801

0.1222

0

0.142857

0.330029

0.026239

0

1

0.035714

false

0

0.107143

0

0.178571

0

null

0

null

0

1

0

3778b68ea4424c5dd5d977058233e58cf1a45c2c

2,213

py

Python

mapillary_tools/gps_parser.py

didier2020/mapillary_tools

23b8f422559f8dfdabdebc26d0d2001d40fbe2ef

[ "BSD-2-Clause" ]

null

mapillary_tools/gps_parser.py

didier2020/mapillary_tools

23b8f422559f8dfdabdebc26d0d2001d40fbe2ef

[ "BSD-2-Clause" ]

null

mapillary_tools/gps_parser.py

didier2020/mapillary_tools

23b8f422559f8dfdabdebc26d0d2001d40fbe2ef

[ "BSD-2-Clause" ]

null

#!/usr/bin/python import datetime from .geo import utc_to_localtime import gpxpy import pynmea2 """ Methods for parsing gps data from various file format e.g. GPX, NMEA, SRT. """ def get_lat_lon_time_from_gpx(gpx_file, local_time=True): """ Read location and time stamps from a track in a GPX file. Re...

27.6625

88

0.612743

316

2,213

4.21519

0.297468

0.027027

0.031532

0.024775

0.554054

0.509009

0

0.003839

0.293719

2,213

79

89

28.012658

0.848369

0.219611

0

0.463415

0

0.013863

0

1

0.04878

false

0

0.097561

0

0.195122

0

null

0

null

0

1

0

37795fd108033032ce115714c706b125640ba1c5

1,685

py

Python

src/polyd_events/consumer.py

supernothing/polyd-events

527dbd4c538253bed9a4096711e1ba4ee32202bf

[ "MIT" ]

null

src/polyd_events/consumer.py

supernothing/polyd-events

527dbd4c538253bed9a4096711e1ba4ee32202bf

[ "MIT" ]

null

src/polyd_events/consumer.py

supernothing/polyd-events

527dbd4c538253bed9a4096711e1ba4ee32202bf

[ "MIT" ]

null

import logging import time import inflection from .events import Event, RedisEvent logger = logging.getLogger(__name__) class EventConsumer(object): def __init__(self, streams, group, consumer_name, db, consume_from_end=False): """ An event consumer :param streams: List of stream names ...

31.203704

121

0.563798

206

1,685

4.480583

0.354369

0.032503

0.028169

0.045504

0

0.009964

0.344807

1,685

53

122

31.792453

0.826087

0.106231

0

0.033793

0

1

0.085714

false

0

0.114286

0

0.228571

0

null

0

null

0

1

0

378287ed5b55d57f24765ff2c9e50d71d392d932

3,438

py

Python

urdu_tts/tts/text_processor/number_strings.py

mhsiddiqui/nlp_with_docker

a44191f2acc4e7cb62bea8bfdff6ffca123613e9

[ "Apache-2.0" ]

null

urdu_tts/tts/text_processor/number_strings.py

mhsiddiqui/nlp_with_docker

a44191f2acc4e7cb62bea8bfdff6ffca123613e9

[ "Apache-2.0" ]

3

2020-06-05T18:09:02.000Z

2021-06-10T20:06:02.000Z

urdu_tts/tts/text_processor/number_strings.py

mhsiddiqui/nlp_with_docker

a44191f2acc4e7cb62bea8bfdff6ffca123613e9

[ "Apache-2.0" ]

null

import csv import re import collections from tts.text_processor import RESOURCE_PATH class GetStringType(object): """ Get String type if it is Date, Time, Number Number formats which are handled are below 1. Date (12.12.12 or 12/12/12 or 12-12-12) 2. Time (12:12:12 or 12:12) 3....

30.157895

98

0.559046

436

3,438

4.188073

0.192661

0.043812

0.026287

0.035049

0.372399

0.215772

0

0.03838

0.317917

3,438

113

99

30.424779

0.740299

0.111402

0

0.240506

0

0.048813

0.019726

0

1

0.113924

false

0

0.050633

0

0.316456

0

null

0

null

0

1

0

378755b6e4a6d1df5540651db412b6b7152b2607

2,055

py

Python

classes/entities/song.py

Xindictus/Simple-Web-Based-Interface-CRUD

274fe6aa4e6e2583a04b3bb1a8ba3f9aa213c263

[ "Apache-2.0" ]

null

classes/entities/song.py

Xindictus/Simple-Web-Based-Interface-CRUD

274fe6aa4e6e2583a04b3bb1a8ba3f9aa213c263

[ "Apache-2.0" ]

null

classes/entities/song.py

Xindictus/Simple-Web-Based-Interface-CRUD

274fe6aa4e6e2583a04b3bb1a8ba3f9aa213c263

[ "Apache-2.0" ]

null

#!/Python27/python from ..database.database import Database # A class used for song insertion class Song: def __init__(self, title, production_year, cd, singer, composer, song_writer): self.title = title self.production_year = production_year self.cd = cd self.singer = singer ...

35.431034

112

0.552798

218

2,055

5.105505

0.348624

0.040431

0.048518

0.016173

0.156334

0.127583

0

0.001496

0.349392

2,055

57

113

36.052632

0.830965

0.163504

0

0.054054

0

0.027027

0.18538

0

1

0.054054

false

0

0.027027

0

0.162162

0

null

0

null

0

1

0

378979218302d31b75d0e2659058fd19f5495d01

1,237

py

Python

NeoAnalysis_Py3.5/NeoAnalysis/readio/h5_io.py

Research-lab-KUMS/NeoAnalysis

32b508dfade3069b1ec5cc7664574b8d3f2d5f57

[ "MIT" ]

23

2017-09-04T13:20:38.000Z

2022-03-08T08:15:17.000Z

NeoAnalysis_Py3.5/NeoAnalysis/readio/h5_io.py

Research-lab-KUMS/NeoAnalysis

32b508dfade3069b1ec5cc7664574b8d3f2d5f57

[ "MIT" ]

4

2018-01-05T13:44:29.000Z

2021-09-30T17:08:15.000Z

NeoAnalysis_Py2.7/NeoAnalysis/readio/h5_io.py

neoanalysis/NeoAnalysis

c5f25b71e16997f3a05f70b1eead11f99a3b7e2b

[ "MIT" ]

5

2017-11-26T19:40:46.000Z

2021-03-11T17:25:23.000Z

import h5py as hp import numpy as np import re def h5_io(filename, spike_to_load, analog_to_load): spikes = dict() analogs = dict() events = dict() comments = dict() with hp.File(filename,'r') as f: for key in f.keys(): if key=='events': events['times'] = f[key]['...

44.178571

98

0.514956

156

1,237

3.916667

0.25641

0.12766

0.052373

0.065466

0.248773

0.186579

0.094926

0

0.002454

0.341148

1,237

28

99

44.178571

0.747239

0

0.071429

0

0.105816

0

1

0.035714

false

0

0.107143

0

0.178571

0

null

0

null

0

1

0

378a6f60c85208588264fa4b0e5b9304df902135

1,601

py

Python

device_gateway/gateway.py

dastultz/home-automation

4007dbca43726cdf5949ee2aa1cd4d40ba67b5d3

[ "MIT" ]

null

device_gateway/gateway.py

dastultz/home-automation

4007dbca43726cdf5949ee2aa1cd4d40ba67b5d3

[ "MIT" ]

null

device_gateway/gateway.py

dastultz/home-automation

4007dbca43726cdf5949ee2aa1cd4d40ba67b5d3

[ "MIT" ]

null

import time import network_manager from components import Heartbeat, LogManager from message_bus import MessageBus import logger class Gateway: def __init__(self): self._message_bus = MessageBus(self._on_message) self._components = [] self._component_dict = {} def add_component(self...

28.087719

91

0.610868

175

1,601

5.297143

0.348571

0.064725

0.06041

0.084142

0.228695

0.148867

0

0.0045

0.306059

1,601

56

92

28.589286

0.829883

0.049344

0

0.186047

0

0.00527

0

1

0.116279

false

0

0.116279

0

0.255814

0.023256

0

null

0

null

0

1

0

378b8c1c8a129943980f58b79ee2233ffe6b0bae

3,439

py

Python

haco/DIDrive_core/demo/latent_rl/collect_data.py

decisionforce/HACO

ebd1dc49598e6ae2704e58c053cc35f2d9e28429

[ "Apache-2.0" ]

21

2022-02-15T10:11:54.000Z

2022-03-24T17:44:29.000Z

haco/DIDrive_core/demo/latent_rl/collect_data.py

decisionforce/HACO

ebd1dc49598e6ae2704e58c053cc35f2d9e28429

[ "Apache-2.0" ]

null

haco/DIDrive_core/demo/latent_rl/collect_data.py

decisionforce/HACO

ebd1dc49598e6ae2704e58c053cc35f2d9e28429

[ "Apache-2.0" ]

3

2022-02-22T11:11:43.000Z

2022-03-17T17:58:44.000Z

import os from functools import partial import numpy as np from ding.envs import SyncSubprocessEnvManager from ding.utils.default_helper import deep_merge_dicts from easydict import EasyDict from tqdm import tqdm from haco.DIDrive_core.data import CarlaBenchmarkCollector, BenchmarkDatasetSaver from haco.DIDrive_core....

30.433628

105

0.639139

396

3,439

5.310606

0.363636

0.038516

0.060865

0.036139

0.099382

0.038992

0

0.014596

0.262867

3,439

112

106

30.705357

0.81499

0.009014

0

0.097826

0

0.036994

0

1

0.032609

false

0

0.119565

0.01087

0.173913

0.01087

0

null

0

null

0

1

0

378fb80fb53ae0d7cd227f1351a2926e938d591b

25,206

py

Python

recent2.py

hongyi-zhao/recent2

5b072ff5d6419c444bb013b88e5e2a4de19b0851

[ "MIT" ]

null

recent2.py

hongyi-zhao/recent2

5b072ff5d6419c444bb013b88e5e2a4de19b0851

[ "MIT" ]

null

recent2.py

hongyi-zhao/recent2

5b072ff5d6419c444bb013b88e5e2a4de19b0851

[ "MIT" ]

null

#!/usr/bin/env python #https://github.com/kislyuk/argcomplete#synopsis import argcomplete import argparse import hashlib import json import os import re import socket import sqlite3 import sys import time from pathlib import Path from tabulate import tabulate from datetime import datetime # pip install python-dateutil...

37.620896

165

0.568119

2,986

25,206

4.649364

0.188881

0.015559

0.026939

0.00958

0.173522

0.116473

0.091047

0.070302

0.056472

0.037744

0

0.016633

0.31068

25,206

669

166

37.67713

0.782388

0.131318

0

0.195817

0

0.001901

0.284954

0.031396

0.001901

0

0.00299

0

1

0.043726

false

0.005703

0.057034

0

0.197719

0.060837

0

null

0

null

0

1

0

3791e586a9b8f892c8036023d9ce18df5f8e863a

2,499

py

Python

cnn_model.py

Onimee58/bangla_ocr_cnn

c274d05adbbf2381d0d467ee7fad57fd89bc4019

[ "MIT" ]

null

cnn_model.py

Onimee58/bangla_ocr_cnn

c274d05adbbf2381d0d467ee7fad57fd89bc4019

[ "MIT" ]

null

cnn_model.py

Onimee58/bangla_ocr_cnn

c274d05adbbf2381d0d467ee7fad57fd89bc4019

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon May 10 04:24:41 2021 @author: Saif """ import numpy as np from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D from keras.layers import Dropout, Flatten, Dense from keras.preprocessing import image ...

34.232877

124

0.666667

341

2,499

4.771261

0.307918

0.108175

0.044253

0.068838

0.476951

0.426552

0.303626

0

0.046891

0.214886

2,499

72

125

34.708333

0.782365

0.229692

0

0.289474

0

0.043621

0

1

0.052632

false

0

0.184211

0

0.289474

0

null

0

null

0

1

0

37940bf72d979b6ddcf361e5f37474a801422c7b

6,520

py

Python

tests/plugins/test_types.py

prusse-martin/alfasim-sdk

f6992cb3c1c51e25bf55470508f406ee6c5a5e9b

[ "MIT" ]

17

2019-02-04T12:58:10.000Z

2021-07-16T12:36:23.000Z

tests/plugins/test_types.py

prusse-martin/alfasim-sdk

f6992cb3c1c51e25bf55470508f406ee6c5a5e9b

[ "MIT" ]

201

2018-08-07T19:39:10.000Z

2022-03-15T00:20:24.000Z

tests/plugins/test_types.py

prusse-martin/alfasim-sdk

f6992cb3c1c51e25bf55470508f406ee6c5a5e9b

[ "MIT" ]

5

2019-06-07T15:45:34.000Z

2021-10-13T18:49:52.000Z

import re import pytest from alfasim_sdk._internal.types import MultipleReference from alfasim_sdk._internal.types import Reference @pytest.mark.parametrize("expression_type", ["enable_expr", "visible_expr"]) def test_enable_expr_and_visible_expr(expression_type): from alfasim_sdk._internal.types import String ...

30.900474

135

0.661963

815

6,520

5.195092

0.146012

0.09589

0.094473

0.135805

0.608644

0.567785

0.392537

0.268068

0.258385

0.213982

0

0.006009

0.208742

6,520

210

136

31.047619

0.811204

0

0.293333

0

0.013333

0.258436

0

0.053333

1

0.073333

false

0.026667

0.1

0

0.193333

0

null

0

null

0

1

0

3794ba9a44060b3cd6e66adb831807d3aaf08691

6,153

py

Python

math_signals/test/test_relation.py

Omnivanitate/sweep_design

00c20066d83a2eebf8402294b413737f49a97564

[ "MIT" ]

null

math_signals/test/test_relation.py

Omnivanitate/sweep_design

00c20066d83a2eebf8402294b413737f49a97564

[ "MIT" ]

null

math_signals/test/test_relation.py

Omnivanitate/sweep_design

00c20066d83a2eebf8402294b413737f49a97564

[ "MIT" ]

null

import unittest import numpy as np from scipy.integrate import cumulative_trapezoid from numpy.testing import assert_array_equal from math_signals.math_relation import Relation from math_signals.defaults.base_structures import BaseXY def pre_integr(x, y): return BaseXY(x=x[1:], y=np.ones(x[1:].size)) ...

39.191083

102

0.568178

874

6,153

3.74714

0.141876

0.070534

0.102595

0.014656

0.458321

0.342595

0.290382

0.214351

0.200611

0

0.069203

0.290752

6,153

156

103

39.442308

0.681256

0.021778

0

0.170732

0

0.012474

0

0.203252

1

0.105691

false

0

0.04878

0.00813

0.186992

0

null

0

null

0

1

0

3794d2cf81706b3a4b46cdb0956d6d92b0823772

4,910

py

Python

nglp/lib/openapi.py

mauromsl/NGLP-Analytics

d6df05f82dbf2ffa5e136a20b6e89f7ef3bcbef2

[ "MIT" ]

null

nglp/lib/openapi.py

mauromsl/NGLP-Analytics

d6df05f82dbf2ffa5e136a20b6e89f7ef3bcbef2

[ "MIT" ]

54

2021-04-28T05:14:45.000Z

2021-12-10T09:14:28.000Z

nglp/lib/openapi.py

mauromsl/NGLP-Analytics

d6df05f82dbf2ffa5e136a20b6e89f7ef3bcbef2

[ "MIT" ]

1

2022-03-09T16:09:25.000Z

from copy import deepcopy from nglp.lib.seamless import Construct, SeamlessException class OpenAPISupport(object): DEFAULT_OPENAPI_TRANS = { # The default translation from our coerce to openapi is {"type": "string"} # if there is no matching entry in the trans dict here. "unicode": {"type...

46.761905

222

0.578411

506

4,910

5.476285

0.266798

0.090942

0.057741

0.043306

0.223385

0.148322

0.120895

0.110429

0.048358

0

0.001395

0.270265

4,910

104

223

47.211538

0.771979

0.185336

0

0.03125

0

0.244142

0.014109

0

1

0.046875

false

0

0.03125

0.015625

0.140625

0

null

0

null

0

1

0

37990b900d049794f3a0a486dc1c773935bc6ed9

584

py

Python

5_0_even_odd.py

ChuckChen2020/ElementsOfProgrammingInterviews

635817bab6cddb397c45aa4b57c07a74b5ddb0a8

[ "MIT" ]

null

5_0_even_odd.py

ChuckChen2020/ElementsOfProgrammingInterviews

635817bab6cddb397c45aa4b57c07a74b5ddb0a8

[ "MIT" ]

null

5_0_even_odd.py

ChuckChen2020/ElementsOfProgrammingInterviews

635817bab6cddb397c45aa4b57c07a74b5ddb0a8

[ "MIT" ]

null

def even_odd(A): pe, po = 0, len(A) - 1 while pe < po: if A[pe] % 2 == 0: pe += 1 else: # if it pe hits an odd, swap with the one at po. if this po bears 1) an even value, next round pe will move right and therefore skip to the next. 2) an odd value, then next round it wi...

36.5

302

0.556507

108

584

2.916667

0.509259

0.038095

0.050794

0

0.046154

0.332192

584

15

303

38.933333

0.761538

0.493151

0

0.027211

0

1

0.083333

false

0

0.083333

0

null

0

null

0

1

0

379a96fa891f104347b8acc6017c208b33cfdbbb

4,072

py

Python

sdks/python/apache_beam/tests/pipeline_verifiers.py

chamikaramj/beam

7c710360868d784c5b6bf99b8341748807b08101

[ "Apache-2.0" ]

1

2019-05-24T14:03:58.000Z

sdks/python/apache_beam/tests/pipeline_verifiers.py

kavyasmj/beam0.6

d59dfeb339bd56feb7569531e5c421a297b0d3dc

[ "Apache-2.0" ]

2

2017-04-24T20:32:25.000Z

2022-03-29T12:59:55.000Z

sdks/python/apache_beam/tests/pipeline_verifiers.py

kavyasmj/beam0.6

d59dfeb339bd56feb7569531e5c421a297b0d3dc

[ "Apache-2.0" ]

2

2019-03-04T02:12:46.000Z

2021-08-10T20:29:37.000Z

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

33.933333

75

0.747299

560

4,072

5.271429

0.328571

0.0271

0.020325

0.01084

0.176152

0.109756

0.090786

0.057588

0

0.001492

0.176817

4,072

119

76

34.218487

0.879177

0.370334

0

0.131148

0

0.080208

0

1

0.163934

false

0

0.131148

0.016393

0.409836

0

null

0

null

0

1

0

379d365c3b72852583302df9254d3e745ae62646

4,975

py

Python

flappy.py

mrlmaia/myFlappyBird

393421c6d33051e3e5f9fb9b872651e2e8615de3

[ "MIT" ]

null

flappy.py

mrlmaia/myFlappyBird

393421c6d33051e3e5f9fb9b872651e2e8615de3

[ "MIT" ]

null

flappy.py

mrlmaia/myFlappyBird

393421c6d33051e3e5f9fb9b872651e2e8615de3

[ "MIT" ]

null

import pygame, random from pygame.locals import * SCREEN_WIDTH = 400 SCREEN_HEIGTH = 800 SPEED = 10 GRAVITY = 1 GAME_SPEED = 10 X = 0 Y = 1 GROUND_WIDTH = 2 * SCREEN_WIDTH GROUND_HEIGHT = 100 PIPE_WIDTH = 80 PIPE_HEIGHT = 500 PIPE_GAP = 200 class Bird(pygame.sprite.Sprite): def __init__(self): pygame....

26.604278

102

0.637186

659

4,975

4.629742

0.200303

0.047198

0.034415

0.048181

0.408391

0.361193

0.300229

0.27532

0.202229

0.145854

0

0.018037

0.242211

4,975

186

103

26.747312

0.791247

0.057487

0

0.222222

0

0.037639

0.034431

0

1

0.076923

false

0

0.017094

0.008547

0.136752

0

null

0

null

0

1

0

379d69c530c32691ab9a0100007cee3fa8cae31c

2,487

py

Python

GolVe_Classification/GolVe+lr/train_model.py

majingliang/machine_learning

cd70e3a07bd1f0803ebcffebca565e70aff96de8

[ "MIT" ]

1

2019-09-29T13:36:29.000Z

GolVe_Classification/GolVe+lr/train_model.py

yummydeli/machine_learning

54471182ac21ef0eee26557a7bd6f3a3dc3a09bd

[ "MIT" ]

null

GolVe_Classification/GolVe+lr/train_model.py

yummydeli/machine_learning

54471182ac21ef0eee26557a7bd6f3a3dc3a09bd

[ "MIT" ]

null

import pandas as pd import numpy as np from sklearn.datasets.base import Bunch import os import pickle from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.cross_validation import train_test_split import random from collections import defaultdict from sklearn.linear_model import LogisticRegressionCV...

36.573529

136

0.644552

334

2,487

4.613772

0.407186

0.05451

0.051914

0.057106

0.215445

0.186892

0

0.0128

0.24608

2,487

67

137

37.119403

0.809067

0.003619

0

0.166667

0

0.066667

0.195477

0.165994

0

1

0

false

0

0.25

0

0.25

0.083333

0

null

0

null

0

1

0

379d9ac43e5f8a9e61641e45c339fb8f78a1a4d0

3,136

py

Python

homeassistant/components/sensor/wink.py

TastyPi/home-assistant

aa1e4c564cb8660bf6b7637bc25317ee58869214

[ "MIT" ]

13

2017-02-01T13:25:34.000Z

2022-01-26T01:30:39.000Z

homeassistant/components/sensor/wink.py

1Forward1Back/home-assistant

ce24ef0c20dea0fd671d6f2c2a8b1456b4b66ba6

[ "MIT" ]

9

2017-07-26T18:05:32.000Z

2021-12-05T14:16:34.000Z

homeassistant/components/sensor/wink.py

1Forward1Back/home-assistant

ce24ef0c20dea0fd671d6f2c2a8b1456b4b66ba6

[ "MIT" ]

21

2017-07-26T17:09:40.000Z

2022-03-27T22:37:22.000Z

""" Support for Wink sensors. For more details about this platform, please refer to the documentation at at https://home-assistant.io/components/sensor.wink/ """ import logging from homeassistant.const import TEMP_CELSIUS from homeassistant.helpers.entity import Entity from homeassistant.components.wink import WinkDe...

32.666667

79

0.638712

365

3,136

5.323288

0.309589

0.065878

0.025733

0.028821

0.210499

0.198147

0.160062

0

0.002141

0.255421

3,136

95

80

33.010526

0.82955

0.162628

0

0.2

0

0.050933

0

1

0.116667

false

0

0.1

0

0.316667

0

null

0

null

0

1

0

379e0ba70961375d128909802ed03cfc631262e2

2,925

py

Python

src/backend/opsbot/stdlib.py

xiashuqin89/bk-chatbot

d3f95363032f699cbc7e6617060642e0763443a6

[ "MIT" ]

null

src/backend/opsbot/stdlib.py

xiashuqin89/bk-chatbot

d3f95363032f699cbc7e6617060642e0763443a6

[ "MIT" ]

null

src/backend/opsbot/stdlib.py

xiashuqin89/bk-chatbot

d3f95363032f699cbc7e6617060642e0763443a6

[ "MIT" ]

null

""" TencentBlueKing is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaSCommunity Edition) available. Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the...

28.676471

93

0.631111

359

2,925

5.089136

0.440111

0.032841

0.021894

0.021346

0.073344

0

0.033363

0.231453

2,925

101

94

28.960396

0.779359

0.270769

0

0.16

0

0.073255

0.030482

0

1

0.2

false

0

0.1

0.06

0.5

0

null

0

null

0

1

0

37a06a46bd7dbc7b3904bddfec3b2e850b11c9b4

518

py

Python

tests/endpoints/test_pricing.py

tacchang001/oandapyV20helper

c8bff56ce9b3d69207911c899652df4328a8a847

[ "MIT" ]

null

tests/endpoints/test_pricing.py

tacchang001/oandapyV20helper

c8bff56ce9b3d69207911c899652df4328a8a847

[ "MIT" ]

null

tests/endpoints/test_pricing.py

tacchang001/oandapyV20helper

c8bff56ce9b3d69207911c899652df4328a8a847

[ "MIT" ]

null

import json import pytest from oandaV20helper.endpoints.pricing import to_dom class TestPricing: @pytest.mark.parametrize("num, filename", [ (1, 'test_pricing01.json'), (3, 'test_pricing02.json'), (15, 'test_pricing03.json') ]) def test_to_dataframe(self, num, filename): ...

22.521739

51

0.606178

62

518

4.725806

0.645161

0.03413

0

0.03125

0.258687

518

22

52

23.545455

0.731771

0.11583

0

0.156044

0

1

0.071429

false

0

0.214286

0

0.357143

0.071429

0

null

0

null

0

1

0

37a25acc37f7d6522679e3d2bfe44a22a8595cc0

2,364

py

Python

tests/__init__.py

utsc-networking/utsc-tools

d5bc10cf825f1be46999d5a42da62cc0df456f0c

[ "MIT" ]

null

tests/__init__.py

utsc-networking/utsc-tools

d5bc10cf825f1be46999d5a42da62cc0df456f0c

[ "MIT" ]

null

tests/__init__.py

utsc-networking/utsc-tools

d5bc10cf825f1be46999d5a42da62cc0df456f0c

[ "MIT" ]

null

import logging from pathlib import Path from utsc.core import Util class PropogateHandler(logging.Handler): def emit(self, record): logging.getLogger(record.name).handle(record) class MockFolders: class ConfDir: def __init__(self, path: Path, app_name: str) -> None: self.dir = pa...

38.129032

88

0.648054

321

2,364

4.588785

0.242991

0.057026

0.044807

0.067889

0.634759

0.466395

0.274949

0.092329

0

0.001109

0.236887

2,364

61

89

38.754098

0.81541

0.198393

0

0.155072

0.099841

0

1

0.078947

false

0

0.078947

0

0.289474

0

null

0

null

0

1

0

37a39ff3342130319876ca4904644fe3206688ea

3,889

py

Python

esphome/components/modbus_controller/number/__init__.py

OttoWinter/esphomeyaml

6a85259e4d6d1b0a0f819688b8e555efcb99ecb0

[ "MIT" ]

249

2018-04-07T12:04:11.000Z

2019-01-25T01:11:34.000Z

esphome/components/modbus_controller/number/__init__.py

OttoWinter/esphomeyaml

6a85259e4d6d1b0a0f819688b8e555efcb99ecb0

[ "MIT" ]

243

2018-04-11T16:37:11.000Z

2019-01-25T16:50:37.000Z

esphome/components/modbus_controller/number/__init__.py

OttoWinter/esphomeyaml

6a85259e4d6d1b0a0f819688b8e555efcb99ecb0

[ "MIT" ]

40

2018-04-10T05:50:14.000Z

2019-01-25T15:20:36.000Z

import esphome.codegen as cg import esphome.config_validation as cv from esphome.components import number from esphome.const import ( CONF_ADDRESS, CONF_ID, CONF_MAX_VALUE, CONF_MIN_VALUE, CONF_MULTIPLY, CONF_STEP, ) from .. import ( MODBUS_WRITE_REGISTER_TYPE, add_modbus_base_propertie...

30.865079

92

0.674466

489

3,889

5.03681

0.259714

0.073082

0.045473

0.030857

0.139667

0.095818

0.086886

0.065773

0

0.023458

0.232708

3,889

125

93

31.112

0.801944

0.021599

0

0.037383

0

0.070752

0.006312

0

1

0.018692

false

0

0.056075

0

0.093458

0

null

0

null

0

1

0

37ad7164ae63d5ffb588e864b6d5d0bdac217918

9,305

py

Python

flowsa/USDA_CoA_Cropland.py

cchiq/flowsa

fc21e8da7c3ba66ca4ae4a0c72f568af7ef5e6c0

[ "CC0-1.0" ]

null

flowsa/USDA_CoA_Cropland.py

cchiq/flowsa

fc21e8da7c3ba66ca4ae4a0c72f568af7ef5e6c0

[ "CC0-1.0" ]

null

flowsa/USDA_CoA_Cropland.py

cchiq/flowsa

fc21e8da7c3ba66ca4ae4a0c72f568af7ef5e6c0

[ "CC0-1.0" ]

null

# USDA_CoA_Cropland.py (flowsa) # !/usr/bin/env python3 # coding=utf-8 import json import numpy as np import pandas as pd from flowsa.common import * def CoA_Cropland_URL_helper(build_url, config, args): """This helper function uses the "build_url" input from flowbyactivity.py, which is a base url for coa cropla...

58.522013

153

0.629339

1,223

9,305

4.638594

0.29027

0.014807

0.027499

0.011458

0.242729

0.230742

0.142077

0.110347

0

0.012188

0.232886

9,305

158

154

58.892405

0.782572

0.284901

0

0.216981

0

0.018868

0.369268

0.051777

0

1

0.028302

false

0

0.037736

0

0.09434

0

null

0

null

0

1

0

37ae25cb640514b4b69d9fbcf3fe21ab2db9d1d8

4,762

py

Python

chiron/apps/visits/views.py

vahidzee/chiron

66115f935a65253ec9c8a7feabfb7db0842acb29

[ "MIT" ]

null

chiron/apps/visits/views.py

vahidzee/chiron

66115f935a65253ec9c8a7feabfb7db0842acb29

[ "MIT" ]

null

chiron/apps/visits/views.py

vahidzee/chiron

66115f935a65253ec9c8a7feabfb7db0842acb29

[ "MIT" ]

null

from django.db import IntegrityError from rest_framework.authentication import TokenAuthentication, SessionAuthentication from rest_framework.response import Response import django.shortcuts as shortcuts from rest_framework import ( status, viewsets, serializers as drf_serializers, permissions as drf_pe...

37.203125

201

0.666107

512

4,762

6.082031

0.25

0.024727

0.034682

0.038536

0.331407

0.316956

0.272319

0.245986

0

0.004096

0.230995

4,762

127

202

37.496063

0.846259

0.337463

0

0.057143

0

0.036999

0

1

0.114286

false

0

0.114286

0

0.442857

0

null

0

null

0

1

0

37aec59f9b17b9d32ce9730876f6d8d46a79c1b0

478

py

Python

3-natural-language-processing/2-nlp-character-pred.py

MLStruckmann/tensorflow-templates

ca35a8f055929ee4ec552fa03737d808a0fe3491

[ "MIT" ]

null

3-natural-language-processing/2-nlp-character-pred.py

MLStruckmann/tensorflow-templates

ca35a8f055929ee4ec552fa03737d808a0fe3491

[ "MIT" ]

null

3-natural-language-processing/2-nlp-character-pred.py

MLStruckmann/tensorflow-templates

ca35a8f055929ee4ec552fa03737d808a0fe3491

[ "MIT" ]

null

# Simple character prediction model (stateful) model = keras.models.Sequential([ keras.layers.GRU(128, return_sequences=True, stateful=True, dropout=0.2, recurrent_dropout=0.2, batch_input_shape=[batch_size, None, max_id]), keras.layers.GRU(128, return_sequences=True, stateful=True, ...

43.454545

62

0.669456

59

478

5.271186

0.491525

0.141479

0.115756

0.109325

0.482315

0

0.037037

0.209205

478

11

63

43.454545

0.785714

0.09205

0

0.222222

0

0.016548

0

1

0

false

0

null

0

null

0

1

0

37b007b20e0af00196c2315cf92bfae9d58c871d

12,681

py

Python

data_format_scripts/makeDatasetTxt_4Points_fromCasper.py

TT-happy-work/keras-yolo3

92ed71769c1040a18cf18e88dab30bfaa16248f4

[ "MIT" ]

null

data_format_scripts/makeDatasetTxt_4Points_fromCasper.py

TT-happy-work/keras-yolo3

92ed71769c1040a18cf18e88dab30bfaa16248f4

[ "MIT" ]

null

data_format_scripts/makeDatasetTxt_4Points_fromCasper.py

TT-happy-work/keras-yolo3

92ed71769c1040a18cf18e88dab30bfaa16248f4

[ "MIT" ]

null

import os from xml.etree import ElementTree from scipy.spatial import distance as dist import numpy as np from time import sleep import cv2 from PIL import Image, ImageDraw import colorsys def order_points(ptsArr): # pt_a, pt_b: out of the 2 left X, a is thr top one and b is the bottom. # pt_c, pt_d: out of ...

56.865471

439

0.59459

1,553

12,681

4.777849

0.213136

0.050809

0.090566

0.096092

0.392453

0.30566

0.179919

0.109973

0.100809

0.086792

0

0.008792

0.26449

12,681

223

440

56.865471

0.786748

0.314959

0

0.171053

0

0.149236

0.05608

0

1

0.006579

false

0

0.052632

0

0.065789

0.046053

0

null

0

null

0

1

0

37b6eafa409acb5528b0f4f84a8bb707d55e196c

3,839

py

Python

pyspider/libs/wsgi_xmlrpc.py

zgwcome/pyspider

1e6375850538d8e04793f5e26b6d92adf8db6a9e

[ "Apache-2.0" ]

13,935

2015-01-01T04:48:55.000Z

2022-03-30T02:02:42.000Z

pyspider/libs/wsgi_xmlrpc.py

zgwcome/pyspider

1e6375850538d8e04793f5e26b6d92adf8db6a9e

[ "Apache-2.0" ]

848

2015-01-04T14:13:40.000Z

2022-03-04T02:29:44.000Z

pyspider/libs/wsgi_xmlrpc.py

zgwcome/pyspider

1e6375850538d8e04793f5e26b6d92adf8db6a9e

[ "Apache-2.0" ]

4,077

2015-01-02T03:01:27.000Z

2022-03-27T12:06:40.000Z

# Copyright (c) 2006-2007 Open Source Applications Foundation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...

39.989583

109

0.655379

451

3,839

5.490022

0.470067

0.050889

0.044426

0.029079

0.051696

0

0.01164

0.261526

3,839

95

110

40.410526

0.861728

0.419901

0

0.093023

0

0.078322

0

1

0.139535

false

0

0.046512

0.069767

0.372093

0

null

0

null

0

1

0

37b7d635ca3c11179e0de2c573fb71ee96d85d19

38,975

py

Python

dremail.py

shofutex/duplicati-sqs-report

e9257dae228f774fb818389cfd192f8886282bae

[ "MIT" ]

null

dremail.py

shofutex/duplicati-sqs-report

e9257dae228f774fb818389cfd192f8886282bae

[ "MIT" ]

null

dremail.py

shofutex/duplicati-sqs-report

e9257dae228f774fb818389cfd192f8886282bae

[ "MIT" ]

null

##### # # Module name: dremail.com # Purpose: Manage email connections for dupReport # # Notes: # ##### # Import system modules import imaplib import poplib import email import quopri import base64 import re import datetime import time import smtplib import os from email.mime.multipart import MIMEMultipart from...

58.345808

245

0.556459

4,126

38,975

5.250606

0.189045

0.024003

0.037805

0.018095

0.236614

0.17753

0.148772

0.108198

0.084749

0.069886

0

0.015334

0.324003

38,975

667

246

58.433283

0.806885

0.23569

0

0.272138

0

0.008639

0.193717

0.017414

0

1

0.030238

false

0.015119

0.038877

0.00216

0.153348

0.00216

0

null

0

null

0

1

0

37b838e0d54c247d6c2708be9b4641d2684a62fb

4,557

py

Python

tacker/extensions/common_services.py

hyunchic86/NDN-test

2417ececbd9a1b9bb4438baf5404cee872e4ec78

[ "Apache-2.0" ]

null

tacker/extensions/common_services.py

hyunchic86/NDN-test

2417ececbd9a1b9bb4438baf5404cee872e4ec78

[ "Apache-2.0" ]

null

tacker/extensions/common_services.py

hyunchic86/NDN-test

2417ececbd9a1b9bb4438baf5404cee872e4ec78

[ "Apache-2.0" ]

null

# Copyright 2016 Brocade Communications Systems Inc # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # ...

28.841772

78

0.65745

501

4,557

5.798403

0.369261

0.02685

0.033735

0.045783

0.185198

0.17074

0.143201

0.11222

0.098451

0

0.008816

0.253237

4,557

157

79

29.025478

0.844843

0.136054

0

0.311927

0

0.18052

0.006374

0

1

0.12844

false

0.027523

0.073395

0.082569

0.431193

0

null

0

null

0

1

0