xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

ccff8fb01ea3f497743ce74c1e9b8975a96ada59

5,544

py

Python

PYTHON/dgemm_omp.py

dbaaha/Kernels

232fc44fc9427dd7b56862cec2d46296c467b4e8

[ "BSD-3-Clause" ]

346

2015-06-07T19:55:15.000Z

2022-03-18T07:55:10.000Z

PYTHON/dgemm_omp.py

dbaaha/Kernels

232fc44fc9427dd7b56862cec2d46296c467b4e8

[ "BSD-3-Clause" ]

202

2015-06-16T15:28:05.000Z

2022-01-06T18:26:13.000Z

PYTHON/dgemm_omp.py

dbaaha/Kernels

232fc44fc9427dd7b56862cec2d46296c467b4e8

[ "BSD-3-Clause" ]

101

2015-06-15T22:06:46.000Z

2022-01-13T02:56:02.000Z

#!/usr/bin/env python3 # # Copyright (c) 2015, Intel Corporation # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditi...

37.459459

100

0.590729

689

5,544

4.711176

0.391872

0.021565

0.022181

0.015712

0.085952

0.066235

0.05915

0.041898

0

0.014345

0.220418

5,544

147

101

37.714286

0.736696

0.539683

0

0.078125

0

0.167404

0

1

0.015625

false

0

0.078125

0

0.09375

0.171875

0

null

0

null

0

1

0

ccff9565d795674cf4b93f869a86dae2c49d6c9e

1,859

py

Python

DS_Algo/quick_sort.py

YorkFish/git_study

6e023244daaa22e12b24e632e76a13e5066f2947

[ "MIT" ]

null

DS_Algo/quick_sort.py

YorkFish/git_study

6e023244daaa22e12b24e632e76a13e5066f2947

[ "MIT" ]

null

DS_Algo/quick_sort.py

YorkFish/git_study

6e023244daaa22e12b24e632e76a13e5066f2947

[ "MIT" ]

null

# coding:utf-8 # example 17: quick_sort.py import random # def quick_sort(array): # if len(array) <= 1: # return array # pivot_idx = 0 # pivot = array[pivot_idx] # less_part = [num for num in array[pivot_idx + 1:] if num <= pivot] # great_part = [num for num in array[pivot_idx + 1:] if nu...

27.338235

72

0.603012

273

1,859

3.952381

0.179487

0.091752

0.084337

0.070436

0.331789

0.203892

0.072289

0

0.040117

0.262507

1,859

67

73

27.746269

0.7469

0.324906

0

0.147059

1

0.117647

false

0

0.029412

0

0.176471

0

null

0

null

0

1

0

69003cd799998d8973cda2d04b1c36351df5836d

2,304

py

Python

tests/test_zestimation.py

jibanCat/gpy_dla_detection

4d987adec75a417313fdc6601ee41a0ea60a0a2e

[ "MIT" ]

1

2020-07-31T01:31:52.000Z

tests/test_zestimation.py

jibanCat/gpy_dla_detection

4d987adec75a417313fdc6601ee41a0ea60a0a2e

[ "MIT" ]

12

2020-07-20T18:55:15.000Z

2021-09-23T05:08:26.000Z

tests/test_zestimation.py

jibanCat/gpy_dla_detection

4d987adec75a417313fdc6601ee41a0ea60a0a2e

[ "MIT" ]

null

""" A test file for testing zestimation The learned file could be downloaded at [learned_zqso_only_model_outdata_full_dr9q_minus_concordance_norm_1176-1256.mat] (https://drive.google.com/file/d/1SqAU_BXwKUx8Zr38KTaA_nvuvbw-WPQM/view?usp=sharing) """ import os import re import time import numpy as np from .test_selec...

29.538462

123

0.69401

359

2,304

4.175487

0.392758

0.03002

0.0507

0.274183

0.228152

0.122749

0.088059

0

0.037546

0.179253

2,304

77

124

29.922078

0.755156

0.147569

0

0.143734

0.069054

0

0.022727

1

0.068182

false

0

0.204545

0

0.318182

0.113636

0

null

0

null

0

1

0

690437062ad9bc153f8073ff84de085091fb62c1

5,249

py

Python

megaman/embedding/base.py

jakevdp/Mmani

681b6cdbd358b207e8b6c4a482262c84bea15bd7

[ "BSD-2-Clause" ]

303

2016-03-03T00:44:37.000Z

2022-03-14T03:43:38.000Z

megaman/embedding/base.py

jakevdp/Mmani

681b6cdbd358b207e8b6c4a482262c84bea15bd7

[ "BSD-2-Clause" ]

52

2016-02-26T21:41:31.000Z

2021-06-27T08:33:51.000Z

megaman/embedding/base.py

jakevdp/Mmani

681b6cdbd358b207e8b6c4a482262c84bea15bd7

[ "BSD-2-Clause" ]

67

2016-03-03T22:38:35.000Z

2022-01-12T08:03:47.000Z

""" base estimator class for megaman """ # Author: James McQueen -- <jmcq@u.washington.edu> # LICENSE: Simplified BSD https://github.com/mmp2/megaman/blob/master/LICENSE import numpy as np from scipy.sparse import isspmatrix from sklearn.base import BaseEstimator, TransformerMixin from sklearn.utils.validation impo...

36.451389

81

0.599543

613

5,249

4.986949

0.288744

0.061825

0.025515

0.016683

0.167484

0.117763

0.100752

0.085051

0.064115

0.036637

0

0.004347

0.298724

5,249

143

82

36.706294

0.826134

0.547152

0

0.047619

0

0.086915

0

1

0.119048

false

0

0.119048

0

0.333333

0

null

0

null

0

1

0

690613c67cd63310af621f929b186a79abbe5cd8

1,032

py

Python

ppr-api/migrations/versions/d3f96fb8b8e5_update_user_profile_definition.py

cameron-freshworks/ppr

01d6f5d300c791aebad5e58bb4601e9be2ccfc46

[ "Apache-2.0" ]

4

2020-01-21T21:46:42.000Z

2021-02-24T18:30:24.000Z

ppr-api/migrations/versions/d3f96fb8b8e5_update_user_profile_definition.py

cameron-freshworks/ppr

01d6f5d300c791aebad5e58bb4601e9be2ccfc46

[ "Apache-2.0" ]

1,313

2019-10-18T22:48:16.000Z

2022-03-30T17:42:47.000Z

ppr-api/migrations/versions/d3f96fb8b8e5_update_user_profile_definition.py

cameron-freshworks/ppr

01d6f5d300c791aebad5e58bb4601e9be2ccfc46

[ "Apache-2.0" ]

201

2019-10-18T21:34:41.000Z

2022-03-31T20:07:42.000Z

"""update user profile definition Revision ID: d3f96fb8b8e5 Revises: 2b13f89aa1b3 Create Date: 2021-10-18 15:45:33.906745 """ from alembic import op import sqlalchemy as sa from alembic_utils.pg_function import PGFunction from sqlalchemy import text as sql_text # revision identifiers, used by Alembic. revision = 'd3...

30.352941

94

0.738372

131

1,032

5.679389

0.48855

0.053763

0.096774

0.061828

0.260753

0.198925

0.11828

0

0.052273

0.147287

1,032

33

95

31.272727

0.793182

0.386628

0

0.245378

0

1

0.142857

false

0

0.285714

0

0.428571

0

null

0

null

0

1

0

6906a12f2953d09ffd721ec5d1611ca70e378fb9

2,948

py

Python

questions/available-captures-for-rook/Solution.py

marcus-aurelianus/leetcode-solutions

8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6

[ "MIT" ]

141

2017-12-12T21:45:53.000Z

2022-03-25T07:03:39.000Z

questions/available-captures-for-rook/Solution.py

marcus-aurelianus/leetcode-solutions

8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6

[ "MIT" ]

32

2015-10-05T14:09:52.000Z

2021-05-30T10:28:41.000Z

questions/available-captures-for-rook/Solution.py

marcus-aurelianus/leetcode-solutions

8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6

[ "MIT" ]

56

2015-09-30T05:23:28.000Z

2022-03-08T07:57:11.000Z

""" On an 8 x 8 chessboard, there is one white rook. There also may be empty squares, white bishops, and black pawns. These are given as characters 'R', '.', 'B', and 'p' respectively. Uppercase characters represent white pieces, and lowercase characters represent black pieces. The rook moves as in the rules of Ches...

39.837838

353

0.402307

341

2,948

3.478006

0.387097

0.033727

0.035413

0.030354

0.065767

0.052277

0.033727

0

0.012897

0.263569

2,948

74

354

39.837838

0.533395

0.678426

0

0.206897

0

0.003363

0

1

0.034483

false

0.034483

0

0.103448

0

null

0

null

0

1

0

6908c59f82b4dce18b0359af8fb11f6688af03cf

3,200

py

Python

test/test_npu/test_network_ops/test_sin.py

Ascend/pytorch

39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc

[ "BSD-3-Clause" ]

1

2021-12-02T03:07:35.000Z

test/test_npu/test_network_ops/test_sin.py

Ascend/pytorch

39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc

[ "BSD-3-Clause" ]

1

2021-11-12T07:23:03.000Z

2021-11-12T08:28:13.000Z

test/test_npu/test_network_ops/test_sin.py

Ascend/pytorch

39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc

[ "BSD-3-Clause" ]

null

# Copyright (c) 2020, Huawei Technologies.All rights reserved. # # Licensed under the BSD 3-Clause License (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://opensource.org/licenses/BSD-3-Clause # # Unless required by applicable law...

42.105263

89

0.637813

453

3,200

4.284768

0.273731

0.028336

0.020608

0.032973

0.455951

0.381762

0.275631

0.225657

0

0.081675

0.24625

3,200

75

90

42.666667

0.723051

0.179375

0

0.290909

0

0.006508

0

0.054545

1

0.090909

false

0

0.127273

0

0.290909

0

null

0

null

0

1

0

690958b4739c7c62384b219e19362e11eacddb43

968

py

Python

src/simmate/website/core_components/filters/dynamics.py

laurenmm/simmate-1

c06b94c46919b01cda50f78221ad14f75c100a14

[ "BSD-3-Clause" ]

9

2021-12-21T02:58:21.000Z

2022-01-25T14:00:06.000Z

src/simmate/website/core_components/filters/dynamics.py

laurenmm/simmate-1

c06b94c46919b01cda50f78221ad14f75c100a14

[ "BSD-3-Clause" ]

51

2022-01-01T15:59:58.000Z

2022-03-26T21:25:42.000Z

src/simmate/website/core_components/filters/dynamics.py

laurenmm/simmate-1

c06b94c46919b01cda50f78221ad14f75c100a14

[ "BSD-3-Clause" ]

7

2022-01-01T03:44:32.000Z

2022-03-29T19:59:27.000Z

# -*- coding: utf-8 -*- from simmate.website.core_components.filters import ( Structure, Forces, Thermodynamics, Calculation, ) from simmate.database.base_data_types.dynamics import ( DynamicsRun as DynamicsRunTable, DynamicsIonicStep as DynamicsIonicStepTable, ) class DynamicsRun(Structure, ...

25.473684

59

0.599174

79

968

7.202532

0.481013

0.079086

0.101933

0.080844

0

0.001449

0.28719

968

37

60

26.162162

0.823188

0.021694

0

0.193548

0

0.031746

0

1

0

false

0

0.064516

0

0.193548

0

null

0

null

0

1

0

690b4a69f377b976688d836e3b5ab8c8dc9b6884

3,821

py

Python

webproject/taller1/algoritmoCoseno.py

jairocollante/sr

f395c0f9aef804ec0100edcfe1a1c6ccab2494a1

[ "MIT" ]

null

webproject/taller1/algoritmoCoseno.py

jairocollante/sr

f395c0f9aef804ec0100edcfe1a1c6ccab2494a1

[ "MIT" ]

null

webproject/taller1/algoritmoCoseno.py

jairocollante/sr

f395c0f9aef804ec0100edcfe1a1c6ccab2494a1

[ "MIT" ]

null

import numpy as np import pandas as pd from taller1.models import Userid_Timestamp_Count class Coseno(): def recomendacionUsuario(self,usuario_activo): print("Modelo Coseno Usuario") cant = 10 df_mapreduce = Coseno.cargarDatos(self) print("df_mapreduce.shape",df_mapreduce.shape) df_pivot = df_mapr...

43.420455

108

0.741952

509

3,821

5.298625

0.210216

0.077494

0.046719

0.026696

0.42195

0.35076

0.252874

0.199481

0.163886

0.098628

0

0.0055

0.143418

3,821

88

109

43.420455

0.818515

0.048678

0

0.24

0

0.131134

0

1

0.106667

false

0

0.04

0.013333

0.266667

0.16

0

null

0

null

0

1

0

690bf7914b0e1d6a8fa65445caa5e076e78c0f57

5,646

py

Python

python/dataconversion/shapefile_to_plt.py

Mehrdadj93/handyscripts

5df9a69e17345ca5a3e42dda2424da2da0ab6f12

[ "MIT" ]

66

2018-09-21T22:55:34.000Z

2022-03-22T14:29:57.000Z

python/dataconversion/shapefile_to_plt.py

Mehrdadj93/handyscripts

5df9a69e17345ca5a3e42dda2424da2da0ab6f12

[ "MIT" ]

4

2018-10-04T22:09:01.000Z

2022-03-31T16:18:38.000Z

python/dataconversion/shapefile_to_plt.py

Mehrdadj93/handyscripts

5df9a69e17345ca5a3e42dda2424da2da0ab6f12

[ "MIT" ]

50

2018-09-23T15:50:55.000Z

2022-03-06T06:59:33.000Z

"""Convert Shapefiles to Tecplot plt format usage: > python shapefile_to_plt.py shapefile.shp outfile.plt Necessary modules ----------------- pyshp The Python Shapefile Library (pyshp) reads and writes ESRI Shapefiles in pure Python. https://pypi.python.org/pypi/pyshp https://www.esri.com/library/whi...

33.607143

104

0.669146

825

5,646

4.45697

0.249697

0.039162

0.016318

0.024476

0.214849

0.150122

0.126734

0.11096

0.096274

0.081044

0

0.008972

0.230074

5,646

167

105

33.808383

0.836899

0.333688

0

0.170213

0

0.091939

0.00728

0

1

0.074468

false

0

0.085106

0

0.202128

0.074468

0

null

0

null

0

1

0

690cf46e3a65cc79fc30a8178dbe551901ad1473

2,746

py

Python

mastering_oop/special_methods/card_factory.py

brittainhard/py

aede05530ad05a8319fef7e76b49e4bf3cebebac

[ "MIT" ]

null

mastering_oop/special_methods/card_factory.py

brittainhard/py

aede05530ad05a8319fef7e76b49e4bf3cebebac

[ "MIT" ]

null

mastering_oop/special_methods/card_factory.py

brittainhard/py

aede05530ad05a8319fef7e76b49e4bf3cebebac

[ "MIT" ]

null

"""When creating factory functions, plain functions are good unless you need to inherit from a higher level class. If you don't need to inherit, dont use a class.""" from functools import partial from .suits import * from .cards import * def card(rank, suit): if rank == 1: return AceCard('A', suit) ...

31.563218

89

0.617626

393

2,746

4.264631

0.335878

0.033413

0.040573

0.016706

0.243437

0.21957

0

0.023928

0.269483

2,746

86

90

31.930233

0.811565

0.257101

0

0.226415

0

0.028729

0

1

0.132075

false

0

0.056604

0.037736

0.45283

0

null

0

null

0

1

0

690eeeccad42026d1f4e91d779a9b52f4b5eb52e

847

py

Python

Python3/1311-Get-Watched-Videos-by-Your-Friends/soln.py

wyaadarsh/LeetCode-Solutions

3719f5cb059eefd66b83eb8ae990652f4b7fd124

[ "MIT" ]

5

2020-07-24T17:48:59.000Z

2020-12-21T05:56:00.000Z

Python3/1311-Get-Watched-Videos-by-Your-Friends/soln.py

zhangyaqi1989/LeetCode-Solutions

2655a1ffc8678ad1de6c24295071308a18c5dc6e

[ "MIT" ]

null

Python3/1311-Get-Watched-Videos-by-Your-Friends/soln.py

zhangyaqi1989/LeetCode-Solutions

2655a1ffc8678ad1de6c24295071308a18c5dc6e

[ "MIT" ]

2

2020-07-24T17:49:01.000Z

2020-08-31T19:57:35.000Z

class Solution: def watchedVideosByFriends(self, watchedVideos: List[List[str]], friends: List[List[int]], ID: int, level: int) -> List[str]: n = len(friends) # BFS frontier = [ID] levels = {ID : 0} nsteps = 0 while frontier: if level == 0: ...

33.88

129

0.472255

91

847

4.362637

0.417582

0.06801

0.050378

0

0.014523

0.430933

847

24

130

35.291667

0.809129

0.003542

0

1

0.043478

false

0

0.130435

0

null

0

null

0

1

0

690f42d3fe72fbc49129a7da627897da2c12d466

2,614

py

Python

tests/fixtures/client.py

radiac/mara

413f1f9f4c7117839a8c03d72733d6f75494ddd3

[ "BSD-3-Clause" ]

16

2015-11-22T13:12:46.000Z

2020-09-04T06:42:55.000Z

tests/fixtures/client.py

radiac/mara

413f1f9f4c7117839a8c03d72733d6f75494ddd3

[ "BSD-3-Clause" ]

8

2016-01-09T23:32:46.000Z

2019-09-30T23:30:49.000Z

tests/fixtures/client.py

radiac/mara

413f1f9f4c7117839a8c03d72733d6f75494ddd3

[ "BSD-3-Clause" ]

7

2016-07-19T04:39:31.000Z

2020-09-04T06:43:06.000Z

from __future__ import annotations import logging import socket import pytest from .constants import TEST_HOST, TEST_PORT logger = logging.getLogger("tests.fixtures.client") class BaseClient: """ Blocking test client to connect to an app server """ name: str def __init__(self, name: str): ...

25.627451

87

0.613236

331

2,614

4.722054

0.253776

0.076775

0.046065

0.069098

0.266155

0.243122

0.150352

0.12476

0

0.004762

0.27697

2,614

101

88

25.881188

0.822222

0.109028

0

0.163934

0

0.132366

0.009235

0

1

0.163934

false

0

0.081967

0.016393

0.393443

0

null

0

null

0

1

0

690f93b1369267fc52a8a48543ba3893e460a7b1

7,768

py

Python

pi.py

przemyslawgarlinski/pi_iowrap

3eef421ebe718dd3bfe1723d1ede6b6a7bc76599

[ "MIT" ]

1

2017-11-26T22:12:16.000Z

pi.py

przemyslawgarlinski/pi_iowrap

3eef421ebe718dd3bfe1723d1ede6b6a7bc76599

[ "MIT" ]

null

pi.py

przemyslawgarlinski/pi_iowrap

3eef421ebe718dd3bfe1723d1ede6b6a7bc76599

[ "MIT" ]

null

"""Standard raspberry GPIO access layer. It defines abstract layer that extends InOutInterface to access all standard ports on rapsberry pi. It uses RPi.GPIO under the hood. Thanks to that you have a standardized way of accessing these ports, as well as any others implementing InOutInterface. """ import logging fr...

36.469484

80

0.608651

938

7,768

4.76226

0.204691

0.145512

0.043877

0.035818

0.40206

0.375196

0.351019

0.296844

0.242668

0.164316

0

0.009972

0.315783

7,768

213

81

36.469484

0.83048

0.137873

0

0.304636

0

0.094242

0

1

0.086093

false

0

0.046358

0.006623

0.251656

0

null

0

null

0

1

0

6910edd2d74b03e0e705138a62b8524d93b325d6

4,190

py

Python

cogs/ments.py

NastyHub/yewon

62e7666a6be8c970871d15af4dfbbcd3ff0a97fd

[ "MIT" ]

null

cogs/ments.py

NastyHub/yewon

62e7666a6be8c970871d15af4dfbbcd3ff0a97fd

[ "MIT" ]

null

cogs/ments.py

NastyHub/yewon

62e7666a6be8c970871d15af4dfbbcd3ff0a97fd

[ "MIT" ]

null

import discord import os import json from discord.ext import commands, tasks import time import asyncio import random from discord.utils import MAX_ASYNCIO_SECONDS ########################################################################## #generalrole = discord.utils.get(ctx.guild.roles, id=661454256251076613) #logch...

28.310811

100

0.587351

458

4,190

5.344978

0.393013

0.039216

0.045752

0.034314

0.071487

0.053513

0.039216

0

0.085613

0.258473

4,190

148

101

28.310811

0.701963

0.068019

0

0.165138

0

0.009174

0.085101

0.006253

0

1

0.045872

false

0

0.073395

0

0.229358

0

null

0

null

0

1

0

691177c77ccb4ef9f4c89444502885d55b50a94c

5,007

py

Python

data/process_data.py

MitraG/Disaster-Response-Project

179d875f9d16aba08cca14d9517531fb29b28041

[ "OLDAP-2.4" ]

null

data/process_data.py

MitraG/Disaster-Response-Project

179d875f9d16aba08cca14d9517531fb29b28041

[ "OLDAP-2.4" ]

null

data/process_data.py

MitraG/Disaster-Response-Project

179d875f9d16aba08cca14d9517531fb29b28041

[ "OLDAP-2.4" ]

null

#First, we import the relevant libraries import sys import pandas as pd from sqlalchemy import create_engine def load_data(messages_filepath, categories_filepath): '''This function will load the messages and categories datasets. Then, this function will merge the datasets by left join using the common id...

37.931818

117

0.675654

694

5,007

4.792507

0.279539

0.028864

0.038485

0.04089

0.312688

0.251052

0.19994

0.174083

0.149429

0

0.004791

0.24965

5,007

132

118

37.931818

0.88049

0.496105

0

0.043478

0

0.243035

0.03129

0

1

0.086957

false

0

0.065217

0

0.195652

0.108696

0

null

0

null

0

1

0

691235d4163755651c608d7db64917c20c45cfde

1,568

py

Python

randomseq/modules/make_random.py

andreagrioni/special-couscous

17b8dcd0bcafab2f6952ddf3b38cd1292f62cee7

[ "MIT" ]

null

randomseq/modules/make_random.py

andreagrioni/special-couscous

17b8dcd0bcafab2f6952ddf3b38cd1292f62cee7

[ "MIT" ]

1

2021-08-17T12:17:29.000Z

randomseq/modules/make_random.py

andreagrioni/special-couscous

17b8dcd0bcafab2f6952ddf3b38cd1292f62cee7

[ "MIT" ]

null

import pandas as pd from modules import bedtools from modules import intervals def generator(ARGUMENTS): if not ARGUMENTS.input_bed and not ARGUMENTS.gtf_anno: print(f"get random intervals from genome {ARGUMENTS.reference}") RANDOM_BED = bedtools.random_interval( ARGUMENTS.reference, A...

28

73

0.658163

207

1,568

4.7343

0.323672

0.10102

0.069388

0.042857

0.095918

0

0.002562

0.253189

1,568

55

74

28.509091

0.83433

0

0.047619

0

0.128827

0.026786

0

1

0.047619

false

0.02381

0.071429

0

0.166667

0.119048

0

null

0

null

0

1

0

69146b024afb8e8179d7794495072111c92f9cf1

532

py

Python

Modulo3/aula18.py

Werberty/Curso-em-Video-Python3

24c0299edd635fb9c2db2ecbaf8532d292f92d49

[ "MIT" ]

1

2022-03-06T11:37:47.000Z

Modulo3/aula18.py

Werberty/Curso-em-Video-Python3

24c0299edd635fb9c2db2ecbaf8532d292f92d49

[ "MIT" ]

null

Modulo3/aula18.py

Werberty/Curso-em-Video-Python3

24c0299edd635fb9c2db2ecbaf8532d292f92d49

[ "MIT" ]

null

test = list() test.append('Werberty') test.append(21) galera = list() galera.append(test[:]) test[0] = 'Maria' test[1] = 22 galera.append(test[:]) print(galera) pessoal = [['joão', 19], ['Ana', 33], ['Joaquim', 13], ['Maria', 45]] print(pessoal[1]) print(pessoal[2][1]) for p in pessoal: print(f'{p[0]} tem {p[1]} a...

22.166667

69

0.614662

81

532

4.037037

0.469136

0.061162

0.097859

0

0.046256

0.146617

532

24

70

22.166667

0.674009

0

0.090909

0

0.144465

0

1

0

false

0

0.227273

0

null

0

null

0

1

0

6914bfcaeef4fb7954973326e68cefa7ccd0e8c9

4,667

py

Python

summariser/ngram_vector/vector_generator.py

UKPLab/ijcai2019-relis

8a40762dcfa90c075a4f6591cbdceb468026ef17

[ "MIT" ]

5

2019-06-30T14:45:12.000Z

2020-07-26T12:59:36.000Z

summariser/ngram_vector/vector_generator.py

UKPLab/ijcai2019-relis

8a40762dcfa90c075a4f6591cbdceb468026ef17

[ "MIT" ]

1

2020-07-11T10:47:57.000Z

2020-09-16T10:53:36.000Z

summariser/ngram_vector/vector_generator.py

UKPLab/ijcai2019-relis

8a40762dcfa90c075a4f6591cbdceb468026ef17

[ "MIT" ]

2

2019-12-24T02:10:42.000Z

2020-04-27T05:39:49.000Z

from summariser.ngram_vector.base import Sentence from summariser.utils.data_helpers import * from nltk.stem.porter import PorterStemmer from summariser.ngram_vector.state_type import * import random class Vectoriser: def __init__(self,docs,sum_len=100,no_stop_words=True,stem=True,block=1,base=200,lang='english')...

42.045045

122

0.630812

548

4,667

5.120438

0.229927

0.055595

0.021383

0.025659

0.162153

0.11119

0.070563

0.058446

0

0.006876

0.283265

4,667

110

123

42.427273

0.831988

0.014142

0

0.022472

0

0.002393

0

0.011236

1

0.05618

false

0

0.05618

0

0.191011

0

null

0

null

0

1

0

69212d7ab58acd86f0a6a7a1366fa6f42c3e9584

1,296

py

Python

src/openprocurement/tender/openua/procedure/models/award.py

ProzorroUKR/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

10

2020-02-18T01:56:21.000Z

2022-03-28T00:32:57.000Z

src/openprocurement/tender/openua/procedure/models/award.py

quintagroup/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

26

2018-07-16T09:30:44.000Z

2021-02-02T17:51:30.000Z

src/openprocurement/tender/openua/procedure/models/award.py

ProzorroUKR/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

15

2019-08-08T10:50:47.000Z

2022-02-05T14:13:36.000Z

from schematics.types import StringType, BooleanType, MD5Type, BaseType from schematics.exceptions import ValidationError from schematics.types.compound import ModelType from openprocurement.api.models import ListType from openprocurement.tender.core.procedure.models.award import ( Award as BaseAward, PatchAwar...

35.027027

98

0.759259

135

1,296

7.274074

0.392593

0.077393

0.076375

0.059063

0.336049

0.118126

0

0.000916

0.157407

1,296

36

99

36

0.898352

0

0.142857

0

0.054012

0

1

0.071429

false

0.035714

0.25

0

0.678571

0

null

0

null

0

1

0

6922080e0ef28e36cb9344b32948cabc43d991c9

4,448

py

Python

tests/test_exch_uniform.py

computationalmodelling/fidimag

07a275c897a44ad1e0d7e8ef563f10345fdc2a6e

[ "BSD-2-Clause" ]

53

2016-02-27T09:40:21.000Z

2022-01-19T21:37:44.000Z

tests/test_exch_uniform.py

computationalmodelling/fidimag

07a275c897a44ad1e0d7e8ef563f10345fdc2a6e

[ "BSD-2-Clause" ]

132

2016-02-26T13:18:58.000Z

2021-12-01T21:52:42.000Z

tests/test_exch_uniform.py

computationalmodelling/fidimag

07a275c897a44ad1e0d7e8ef563f10345fdc2a6e

[ "BSD-2-Clause" ]

32

2016-02-26T13:21:40.000Z

2022-03-08T08:54:51.000Z

from __future__ import print_function import numpy as np from fidimag.atomistic import Sim from fidimag.common import CuboidMesh from fidimag.atomistic import UniformExchange def init_m(pos): x, y, z = pos return (x - 0.5, y - 0.5, z - 0.5) def test_exch_1d(): """ Test the x component of the exchang...

23.046632

77

0.546088

717

4,448

3.297071

0.175732

0.107022

0.037225

0.035533

0.409052

0.348562

0.315567

0.30753

0.282572

0.258037

0

0.088206

0.319469

4,448

192

78

23.166667

0.692765

0.317221

0

0.413793

0

0.002787

0

0.367816

1

0.08046

false

0

0.057471

0

0.149425

0.022989

0

null

0

null

0

1

0

6928610238b2e0cae526f79687ff41ce7a474164

4,882

py

Python

Competing_Algorithm/demo.py

ZhiQiu976/project-Indian-Buffet-Process

a4817550f2ca1778333066fa03ec6bb5b9cb4240

[ "MIT" ]

null

Competing_Algorithm/demo.py

ZhiQiu976/project-Indian-Buffet-Process

a4817550f2ca1778333066fa03ec6bb5b9cb4240

[ "MIT" ]

null

Competing_Algorithm/demo.py

ZhiQiu976/project-Indian-Buffet-Process

a4817550f2ca1778333066fa03ec6bb5b9cb4240

[ "MIT" ]

1

2020-04-30T17:26:26.000Z

"""Demo for latent factor model""" from __future__ import division import numpy as np import numpy.random as nr import matplotlib.pyplot as plt from IBPFM import IBPFM from utils.tracePlot import trace from utils.scaledimage import scaledimage N = 100 chain = 1000 K_finite = 6 # # read the keyboard input for the num...

30.135802

88

0.599549

820

4,882

3.460976

0.213415

0.072586

0.09408

0.105708

0.388302

0.32382

0.26709

0.251233

0.239253

0.236082

0

0.055968

0.17288

4,882

161

89

30.322981

0.646855

0.262392

0

0.195876

0

0.035413

0.00787

0

1

0

false

0

0.072165

0

0.072165

0

null

0

null

0

1

0

6928d12a9070c21f90e40630002456e946b09b39

1,391

py

Python

ex3_1_dnn_mnist_cl.py

yoongon/keraspp

4950e2e78bfd19095b88fd3a1ca74ffedba819a5

[ "MIT" ]

null

ex3_1_dnn_mnist_cl.py

yoongon/keraspp

4950e2e78bfd19095b88fd3a1ca74ffedba819a5

[ "MIT" ]

null

ex3_1_dnn_mnist_cl.py

yoongon/keraspp

4950e2e78bfd19095b88fd3a1ca74ffedba819a5

[ "MIT" ]

null

# 기본 파라미터 설정 ######################### Nin = 784 Nh_l = [100, 50] number_of_class = 10 Nout = number_of_class # 분류 DNN 모델 구현 ######################## from keras import layers, models class DNN(models.Sequential): def __init__(self, Nin, Nh_l, Nout): super().__init__() self.add(layers.Dense(Nh_l[...

33.119048

95

0.608914

205

1,391

3.882927

0.404878

0.052764

0.048995

0.067839

0.133166

0.052764

0

0.029623

0.199137

1,391

41

96

33.926829

0.684919

0.035226

0

0.074373

0.019402

0

1

0.034483

false

0

0.137931

0

0.206897

0.034483

0

null

0

null

0

1

0

69301dd6f35763c4b558452e2a75490a7e95b5cb

1,176

py

Python

ChestnutPatcher/inject-lib.py

chestnut-sandbox/Chestnut

b42b9eb902e0928e8b549339788f83bb009290c1

[ "Zlib" ]

7

2020-12-08T02:00:14.000Z

2021-05-10T13:12:35.000Z

ChestnutPatcher/inject-lib.py

cc0x1f/Chestnut

b42b9eb902e0928e8b549339788f83bb009290c1

[ "Zlib" ]

2

2022-01-03T13:51:48.000Z

2022-01-26T15:42:44.000Z

ChestnutPatcher/inject-lib.py

cc0x1f/Chestnut

b42b9eb902e0928e8b549339788f83bb009290c1

[ "Zlib" ]

2

2021-05-15T03:06:07.000Z

2021-08-06T18:11:35.000Z

import sys import lief import json import struct import os def filter_file(fname): f = fname.replace("/", "_") + ".json" if f[0] == ".": f = f[1:] return f def main(fname): # load filter ffname = "policy_%s" % filter_file(fname) filters = None try: filters = json.loads(ope...

25.021277

64

0.590986

154

1,176

4.376623

0.422078

0.047478

0.077151

0

0.012514

0.252551

1,176

46

65

25.565217

0.754266

0.066327

0

0.190302

0

1

0.058824

false

0

0.147059

0

0.264706

0.117647

0

null

0

null

0

1

0

69331d5c6bc354bd17e9f9d5696da9f4cbff069b

5,826

py

Python

scoff/parsers/generic.py

brunosmmm/scoff

e1a0b5f98dd9e60f41f3f7cfcda9038ffd80e138

[ "MIT" ]

null

scoff/parsers/generic.py

brunosmmm/scoff

e1a0b5f98dd9e60f41f3f7cfcda9038ffd80e138

[ "MIT" ]

1

2020-03-20T13:57:52.000Z

2021-03-11T17:25:25.000Z

scoff/parsers/generic.py

brunosmmm/scoff

e1a0b5f98dd9e60f41f3f7cfcda9038ffd80e138

[ "MIT" ]

null

"""Generic regex-based parser.""" import re from collections import deque from typing import Union, Any, List, Deque, Tuple, Dict, Callable from scoff.parsers.linematch import MatcherError, LineMatcher EMPTY_LINE = re.compile(b"\s*$") class ParserError(Exception): """Parser error.""" class DataParser: """...

31.15508

76

0.583934

667

5,826

4.874063

0.230885

0.066441

0.025838

0.014765

0.103045

0.037527

0.022147

0

0.002265

0.317885

5,826

186

77

31.322581

0.815803

0.154652

0

0.068376

0

0.040717

0

1

0.136752

false

0

0.034188

0

0.25641

0.008547

0

null

0

null

0

1

0

6933f6dc14a4268b062d6716b8b6fce13e8b8ff9

34,279

py

Python

cfg/model/CfgModel.py

sdnellen/ordt-config-tool

30cc7342c5bc0f574b2a4a8d207230e1fa527615

[ "Apache-2.0" ]

1

2019-12-06T19:11:28.000Z

utils/cfgtool/cfg/model/CfgModel.py

mytoys/open-register-design-tool

5d6dea268f77546a9a786a16603f50e974d87050

[ "Apache-2.0" ]

null

utils/cfgtool/cfg/model/CfgModel.py

mytoys/open-register-design-tool

5d6dea268f77546a9a786a16603f50e974d87050

[ "Apache-2.0" ]

null

#!/usr/bin/python3 ''' @author: snellenbach Config sequence model ''' from enum import Enum, unique import re from cfg.model.RegModelWrapper import RegModelWrapper from cfg.model.Utils import MsgUtils from cfg.output.OutBuilder import OutBuilder as ob # ------- config model node classes class BaseCfgNode: _nodeS...

47.675939

210

0.632603

3,825

34,279

5.59451

0.131242

0.013459

0.011823

0.01215

0.308472

0.261788

0.22258

0.168513

0.130427

0.110846

0

0.001985

0.265177

34,279

718

211

47.74234

0.847553

0.223956

0

0.29432

0

0.017212

0.10098

0.026361

0

0.001393

0

1

0.194492

false

0.006885

0.008606

0.034423

0.437177

0.015491

0

null

0

null

0

1

0

69357d4b61dce4eb42c2cf196abf2f132d27de5f

2,061

py

Python

tests/test_dict_qtable.py

fgka/reinforcement-learning-py

e4c582d192b36a270efce5e1512596b72466c8f7

[ "MIT" ]

null

tests/test_dict_qtable.py

fgka/reinforcement-learning-py

e4c582d192b36a270efce5e1512596b72466c8f7

[ "MIT" ]

null

tests/test_dict_qtable.py

fgka/reinforcement-learning-py

e4c582d192b36a270efce5e1512596b72466c8f7

[ "MIT" ]

null

#!/usr/bin/env python # vim: ai:sw=4:ts=4:sta:et:fo=croql # coding=utf-8 import pytest # Uncomment to run test in debug mode # import pudb; pudb.set_trace() from reinforcement_learning.dict_qtable import DictQTable from test_qaction import QActionTest from test_qstate import QStateTest """ DictQTable """ @pytest.m...

33.786885

73

0.654051

291

2,061

4.395189

0.257732

0.094605

0.120407

0.125098

0.472244

0.41595

0.379984

0.296325

0.272088

0.212666

0

0.010665

0.226589

2,061

60

74

34.35

0.791719

0.080058

0

0.210526

0

0.053026

0

0.289474

1

0.052632

false

0

0.105263

0

0.368421

0

null

0

null

0

1

0

693580d8911168f775041c87c4274d3d07d8d2de

2,851

py

Python

handlers/acceptmember.py

micjerry/groupservice

807e5d53533897ac36d9bf1cce30aee09979ea9f

[ "Apache-2.0" ]

1

2015-12-14T08:31:30.000Z

handlers/acceptmember.py

micjerry/groupservice

807e5d53533897ac36d9bf1cce30aee09979ea9f

[ "Apache-2.0" ]

null

handlers/acceptmember.py

micjerry/groupservice

807e5d53533897ac36d9bf1cce30aee09979ea9f

[ "Apache-2.0" ]

null

import tornado.web import tornado.gen import json import io import logging import motor from bson.objectid import ObjectId import mickey.userfetcher from mickey.basehandler import BaseHandler class AcceptMemberHandler(BaseHandler): @tornado.web.asynchronous @tornado.gen.coroutine def post(self): ...

33.541176

105

0.54437

308

2,851

4.938312

0.357143

0.039448

0.042735

0.021039

0.101249

0.068376

0.026298

0

0.008976

0.335672

2,851

84

106

33.940476

0.794087

0.016485

0

0.166667

0

0.121028

0.009282

0

1

0.015152

false

0

0.136364

0

0.212121

0

null

0

null

0

1

0

693bf1abd077feaa155858e8c51deee32624b50d

14,767

py

Python

example/hermes_bot.py

azalio/python-icq-bot

b5ab8306d2abf8c259da71db1a3195c842d51110

[ "MIT" ]

null

example/hermes_bot.py

azalio/python-icq-bot

b5ab8306d2abf8c259da71db1a3195c842d51110

[ "MIT" ]

null

example/hermes_bot.py

azalio/python-icq-bot

b5ab8306d2abf8c259da71db1a3195c842d51110

[ "MIT" ]

null

import logging.config import random import re from collections import defaultdict from datetime import datetime from enum import Enum import requests from example.util import log_call from icq.bot import ICQBot, FileNotFoundException from icq.constant import TypingStatus from icq.filter import MessageFilter from icq....

36.825436

120

0.590709

1,720

14,767

4.926744

0.237209

0.024782

0.011801

0.013217

0.187397

0.138423

0.11199

0.06396

0.034694

0.022658

0

0.008487

0.281845

14,767

400

121

36.9175

0.79057

0.039209

0

0.214511

0

0.0347

0.251146

0.091499

0

1

0.041009

false

0.003155

0.047319

0.006309

0.173502

0

null

0

null

0

1

0

693d787b8fc4cb803c97288d52b6f488a6db0a75

2,920

py

Python

qstat_live.py

romeromig/qstat_live

dde8ceb956dc0689a1c40c06ff20d58990488765

[ "MIT" ]

null

qstat_live.py

romeromig/qstat_live

dde8ceb956dc0689a1c40c06ff20d58990488765

[ "MIT" ]

null

qstat_live.py

romeromig/qstat_live

dde8ceb956dc0689a1c40c06ff20d58990488765

[ "MIT" ]

null

#! /usr/bin/python3 import curses import sys import subprocess def main_menu(stdscr): k = 0 cursor_x = 0 cursor_y = 0 # Start colors in curses curses.start_color() curses.init_pair(1, curses.COLOR_CYAN, curses.COLOR_BLACK) curses.init_pair(2, curses.COLOR_RED, curses.COLOR_BLACK) cur...

28.627451

90

0.564726

367

2,920

4.395095

0.332425

0.075016

0.046497

0.039678

0.225666

0.15871

0.121513

0.042157

0

0.024354

0.310959

2,920

101

91

28.910891

0.777336

0.121233

0

0.190476

0

0.078431

0

1

0.031746

false

0

0.047619

0

0.079365

0

null

0

null

0

1

0

693fc462e0aaf1cceaf2297cb92e001c5129520c

2,458

py

Python

nwbwidgets/utils/plotly.py

NeurodataWithoutBorders/nwb-jupyter-widgets

0d11e5d7b193c53d744b13c6404186ac84f4a5c1

[ "BSD-3-Clause-LBNL" ]

35

2019-03-10T23:39:17.000Z

2021-11-16T11:50:33.000Z

nwbwidgets/utils/plotly.py

catalystneuro/nwb-jupyter-widgets

0d11e5d7b193c53d744b13c6404186ac84f4a5c1

[ "BSD-3-Clause-LBNL" ]

158

2019-03-12T21:40:24.000Z

2022-03-16T14:35:55.000Z

nwbwidgets/utils/plotly.py

catalystneuro/nwb-jupyter-widgets

0d11e5d7b193c53d744b13c6404186ac84f4a5c1

[ "BSD-3-Clause-LBNL" ]

20

2019-03-08T14:30:27.000Z

2021-11-08T16:31:26.000Z

import plotly.graph_objects as go import numpy as np def multi_trace(x, y, color, label=None, fig=None, insert_nans=False): """Create multiple traces that are associated with a single legend label Parameters ---------- x: array-like y: array-like color: str label: str, optional fig: g...

22.345455

87

0.513832

284

2,458

4.352113

0.302817

0.022654

0.055016

0.038835

0.325243

0.18123

0.127832

0.059871

0

0.001989

0.386493

2,458

109

88

22.550459

0.817639

0.203417

0

0.384615

0

0.011911

0

1

0.030769

false

0

0.030769

0

0.107692

0

null

0

null

0

1

0

69417b7d7a3a4bf350d3fdf5bf9bebda6e608488

5,997

py

Python

django_python3_saml/saml_settings.py

IronCountySchoolDistrict/django-python3-saml

06d6198ed6c2b9ebfbfe4d6782715d91b6a468d8

[ "BSD-3-Clause" ]

6

2018-04-16T16:38:59.000Z

2022-02-10T09:02:11.000Z

django_python3_saml/saml_settings.py

IronCountySchoolDistrict/django-python3-saml

06d6198ed6c2b9ebfbfe4d6782715d91b6a468d8

[ "BSD-3-Clause" ]

1

2018-10-18T20:59:11.000Z

2018-10-19T13:42:43.000Z

django_python3_saml/saml_settings.py

IronCountySchoolDistrict/django-python3-saml

06d6198ed6c2b9ebfbfe4d6782715d91b6a468d8

[ "BSD-3-Clause" ]

6

2018-04-16T17:06:12.000Z

2020-05-06T11:32:39.000Z

from django.conf import settings class SAMLServiceProviderSettings(object): contact_info = { # Contact information template, it is recommended to suply a # technical and support contacts. "technical": { "givenName": settings.SAML['CONTACT_INFO']['TECHNICAL']['GIVEN_NAME'], ...

51.698276

167

0.571786

651

5,997

5.165899

0.298003

0.011894

0.014273

0.022302

0.398454

0.348498

0.305679

0.254237

0

0.01426

0.345173

5,997

115

168

52.147826

0.842119

0.408371

0

0.079365

0

0.224222

0.077978

0

0.015873

1

0.015873

false

0

0.015873

0

0.079365

0.063492

0

null

0

null

0

1

0

6943f352d6732b6ea4e8c626dd8012e42b34ad09

25,972

py

Python

heat/engine/parser.py

citrix-openstack-build/heat

fa31873529481472e037e3ce157b87f8057fe622

[ "Apache-2.0" ]

null

heat/engine/parser.py

citrix-openstack-build/heat

fa31873529481472e037e3ce157b87f8057fe622

[ "Apache-2.0" ]

null

heat/engine/parser.py

citrix-openstack-build/heat

fa31873529481472e037e3ce157b87f8057fe622

[ "Apache-2.0" ]

null

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # # 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 applicab...

37.262554

79

0.578354

2,867

25,972

5.106034

0.161842

0.012979

0.01052

0.01093

0.240317

0.189152

0.164834

0.119066

0.107111

0.089214

0

0.001111

0.341522

25,972

696

80

37.316092

0.854871

0.197713

0

0.23341

0

0.0557

0.001203

0

0.002874

0

1

0.100687

false

0.004577

0.045767

0.009153

0.249428

0

null

0

null

0

1

0

69453942628ce1c37639781c43bed0432a313dc3

1,547

py

Python

src/puzzle_1_you_will_all_conform/my/please_conform_squared.py

foryourselfand/mit_6_S095_programming_for_the_puzzled

88371bd8461709011acbed6066ac4f40c5cde29e

[ "MIT" ]

null

src/puzzle_1_you_will_all_conform/my/please_conform_squared.py

foryourselfand/mit_6_S095_programming_for_the_puzzled

88371bd8461709011acbed6066ac4f40c5cde29e

[ "MIT" ]

null

src/puzzle_1_you_will_all_conform/my/please_conform_squared.py

foryourselfand/mit_6_S095_programming_for_the_puzzled

88371bd8461709011acbed6066ac4f40c5cde29e

[ "MIT" ]

null

from typing import List from please_conform import PleaseConform from structures import Interval class PleaseConformSquared(PleaseConform): def please_conform(self, caps: List[str]) -> List[Interval]: if len(caps) == 0: return list() caps: List[str] = caps.copy() caps.append...

30.333333

64

0.564318

163

1,547

5.079755

0.276074

0.078502

0.043478

0

0.008147

0.365223

1,547

50

65

30.94

0.835031

0

0.054054

0

0.003878

0

1

0.027027

false

0

0.081081

0

0.189189

0

null

0

null

0

1

0

694611c01663b1d27e4ebc26f84bb2603c45ff7c

5,784

py

Python

apps/almoxarifado/apps/cont/forms.py

mequetrefe-do-subtroco/web_constel

57b5626fb17b4fefc740cbe1ac95fd4ab90147bc

[ "MIT" ]

1

2020-06-18T09:03:53.000Z

apps/almoxarifado/apps/cont/forms.py

gabrielhjs/web_constel

57b5626fb17b4fefc740cbe1ac95fd4ab90147bc

[ "MIT" ]

33

2020-06-16T18:59:33.000Z

2021-08-12T21:33:17.000Z

apps/almoxarifado/apps/cont/forms.py

gabrielhjs/web_constel

57b5626fb17b4fefc740cbe1ac95fd4ab90147bc

[ "MIT" ]

null

from django import forms from .models import * class FormCadastraModelo(forms.ModelForm): class Meta: model = Modelo fields = ['nome', 'descricao', ] def __init__(self, *args, **kwargs): super(FormCadastraModelo, self).__init__(*args, **kwargs) for key in self.fields.keys()...

28.492611

115

0.602006

651

5,784

5.202765

0.219662

0.067907

0.055211

0.039858

0.613227

0.576912

0.500443

0.475642

0.442279

0

0.010862

0.251902

5,784

202

116

28.633663

0.771897

0.038382

0

0.5

0

0.114867

0

1

0.098361

false

0.016393

0

0.336066

0

null

0

null

0

1

0

69469bc9f4f19c9f16e8cc58a6b94958c3abce9d

1,980

py

Python

DMD/pyDMD.py

yusovm/GEMSEC

d9abd43d27e05607e7b1ea8c99fcc736abd204fd

[ "MIT" ]

null

DMD/pyDMD.py

yusovm/GEMSEC

d9abd43d27e05607e7b1ea8c99fcc736abd204fd

[ "MIT" ]

null

DMD/pyDMD.py

yusovm/GEMSEC

d9abd43d27e05607e7b1ea8c99fcc736abd204fd

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Mar 2 16:43:45 2020 @author: micha """ import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from MD_Analysis import Angle_Calc from pydmd import DMD pdb="pdbs/WT_295K_200ns_50ps_0_run.pdb" #Extract phi, psi angles A...

21.758242

69

0.663636

332

1,980

3.855422

0.391566

0.051563

0.046875

0.042188

0.142188

0.075

0

0.0454

0.165657

1,980

90

70

22

0.729419

0.084848

0

0.157895

0

0.084557

0.019378

0

1

0.035088

false

0

0.105263

0

0.175439

0

null

0

null

0

1

0

69496f7144482f3f124f969247fa77f335fc5db1

695

py

Python

models/t_compensate_event_definition.py

THM-MA/XSDATA-waypoint

dd94442f9d6677c525bf3ebb03c15fec52fa1079

[ "MIT" ]

null

models/t_compensate_event_definition.py

THM-MA/XSDATA-waypoint

dd94442f9d6677c525bf3ebb03c15fec52fa1079

[ "MIT" ]

null

models/t_compensate_event_definition.py

THM-MA/XSDATA-waypoint

dd94442f9d6677c525bf3ebb03c15fec52fa1079

[ "MIT" ]

null

from dataclasses import dataclass, field from typing import Optional from xml.etree.ElementTree import QName from .t_event_definition import TEventDefinition __NAMESPACE__ = "http://www.omg.org/spec/BPMN/20100524/MODEL" @dataclass class TCompensateEventDefinition(TEventDefinition): class Meta: name = "tC...

24.821429

61

0.640288

63

695

6.920635

0.650794

0.055046

0.073395

0.110092

0.12844

0

0.015534

0.258993

695

27

62

25.740741

0.831068

0

0.26087

0

0.188489

0.03741

0

1

0

false

0

0.173913

0

0.347826

0

null

0

null

0

1

0

694980cd79dd13058b0c41b67c32eb322a3674e4

822

py

Python

plugins.py

ddfabbro/translatorbot

a14a442ec840d81e3d8bbc6faa15e52f68145655

[ "Unlicense" ]

null

plugins.py

ddfabbro/translatorbot

a14a442ec840d81e3d8bbc6faa15e52f68145655

[ "Unlicense" ]

null

plugins.py

ddfabbro/translatorbot

a14a442ec840d81e3d8bbc6faa15e52f68145655

[ "Unlicense" ]

null

import html from googletrans import Translator from slackbot.bot import default_reply, respond_to, listen_to translator = Translator() def translate(message): msg_in = html.unescape(message.body["text"]) if msg_in != "": if translator.detect(msg_in).lang == "en": text = translator.transla...

24.176471

65

0.647202

101

822

5.069307

0.376238

0.048828

0.134766

0.101563

0.125

0

0.217762

822

33

66

24.909091

0.796268

0

0.2

0

0.036496

0

1

0.16

false

0

0.12

0

0.28

0

null

0

null

0

1

0

694a62087121f0e7a903137a5cded3d86b3d17e4

1,324

py

Python

app.py

muelletm/search

3087dcfd26861b1386c38575b53cb026cb1045f8

[ "Apache-2.0" ]

1

2022-03-25T19:14:53.000Z

app.py

muelletm/search

3087dcfd26861b1386c38575b53cb026cb1045f8

[ "Apache-2.0" ]

null

app.py

muelletm/search

3087dcfd26861b1386c38575b53cb026cb1045f8

[ "Apache-2.0" ]

4

2022-03-10T18:40:44.000Z

2022-03-10T19:20:30.000Z

import collections import os from pathlib import Path from typing import List import streamlit as st from sentence_transformers import SentenceTransformer from search.engine import Engine, Result from search.model import load_minilm_model from search.utils import get_memory_usage os.environ["TOKENIZERS_PARALLELISM"]...

21.354839

67

0.728852

191

1,324

4.890052

0.450262

0.037473

0.03212

0.038544

0.079229

0

0.00177

0.146526

1,324

61

68

21.704918

0.824779

0.089124

0

0.058824

0

0.246504

0.056818

0

1

0.058824

false

0

0.264706

0.029412

0.382353

0

null

0

null

0

1

0

694b3b51b65fa886685be715d3c914e309e0c1fe

1,596

py

Python

interface/exemplos1/04.py

ell3a/estudos-python

09808a462aa3e73ad433501acb11f62217548af8

[ "MIT" ]

null

interface/exemplos1/04.py

ell3a/estudos-python

09808a462aa3e73ad433501acb11f62217548af8

[ "MIT" ]

null

interface/exemplos1/04.py

ell3a/estudos-python

09808a462aa3e73ad433501acb11f62217548af8

[ "MIT" ]

null

from tkinter import * class EditBoxWindow: def __init__(self, parent = None): if parent == None: parent = Tk() self.myParent = parent self.top_frame = Frame(parent) # Criando a barra de rolagem scrollbar = Scrollbar(self.top_frame) self.editbox = Text(...

32.571429

85

0.58396

193

1,596

4.678756

0.393782

0.085271

0.053156

0.084164

0

0.006289

0.302632

1,596

49

86

32.571429

0.805031

0.042607

0

0.027559

0

1

0.055556

false

0

0.027778

0

0.111111

0

null

0

null

0

1

0

694cb06a76643cd64ded70df62959d8318b7af93

426

py

Python

app/app.py

cagriozkurt/EksiSansur

071f5e136d58f7fdd5ba32c8387904b2710d04a5

[ "MIT" ]

null

app/app.py

cagriozkurt/EksiSansur

071f5e136d58f7fdd5ba32c8387904b2710d04a5

[ "MIT" ]

null

app/app.py

cagriozkurt/EksiSansur

071f5e136d58f7fdd5ba32c8387904b2710d04a5

[ "MIT" ]

1

2022-03-22T13:50:41.000Z

import psycopg from flask import Flask, render_template from flask_compress import Compress app = Flask(__name__) DATABASE_URL = "" Compress(app) @app.route("/") def index(): with psycopg.connect(DATABASE_URL, sslmode="require") as conn: with conn.cursor() as cur: cur.execute("SELECT * FROM t...

25.058824

66

0.671362

53

426

5.226415

0.54717

0.064982

0

0.213615

426

16

67

26.625

0.826866

0

0.091549

0

1

0.076923

false

0

0.230769

0

0.384615

0

null

0

null

0

1

0

69512ed9252aea21d648e173c9d6e12c14061403

1,404

py

Python

2020/07/ape.py

notxenonbox/adventofcode

82cd8fafdf21c988bd7383f2b6d71cec04282e65

[ "Unlicense" ]

null

2020/07/ape.py

notxenonbox/adventofcode

82cd8fafdf21c988bd7383f2b6d71cec04282e65

[ "Unlicense" ]

null

2020/07/ape.py

notxenonbox/adventofcode

82cd8fafdf21c988bd7383f2b6d71cec04282e65

[ "Unlicense" ]

null

import re class Bag: def __init__(self, _name, _contents): self.name = _name self.contents = _contents self.c_cache = None self.has_cache = {} def hasBagType(self, _name, bags): try: return self.has_cache[_name] except: if _name != self.name: for i in self.contents: if bags[i[1]].hasBagTyp...

22.285714

90

0.623219

215

1,404

3.948837

0.302326

0.042403

0.047114

0.03298

0.150766

0.056537

0

0.014184

0.196581

1,404

63

91

22.285714

0.738475

0.007835

0

0.16

0

0.110632

0.017241

0

1

0.06

false

0

0.02

0

0.22

0.04

0

null

0

null

0

1

0

69517bd1fdcbc759ae3114b27d1f3038e73dc9c5

3,209

py

Python

src/drive.py

Matej-Chmel/pydrive-chat

551504335bcebbeed239f1961b7bffa3f45d220d

[ "Apache-2.0", "CC0-1.0" ]

null

src/drive.py

Matej-Chmel/pydrive-chat

551504335bcebbeed239f1961b7bffa3f45d220d

[ "Apache-2.0", "CC0-1.0" ]

null

src/drive.py

Matej-Chmel/pydrive-chat

551504335bcebbeed239f1961b7bffa3f45d220d

[ "Apache-2.0", "CC0-1.0" ]

null

from datetime import datetime, timedelta from io import BytesIO from pathlib import Path from time import altzone, daylight, localtime, timezone from pydrive.auth import GoogleAuth, AuthenticationRejected from pydrive.drive import GoogleDrive as Drive, GoogleDriveFile as File from requests import patch from .auth impor...

26.966387

113

0.727641

454

3,209

4.955947

0.306167

0.046667

0.012

0.021333

0.099556

0.034667

0

0.001087

0.139607

3,209

118

114

27.194915

0.813836

0

0.193878

0

0.010204

0.192895

0.078841

0

1

0.112245

false

0

0.091837

0.020408

0.326531

0

null

0

null

0

1

0

69550175d4982933c72091480c87edac34bffafc

1,967

py

Python

tests/test_yaml_files.py

graeme-winter/data

6e359b169c35d1a6569fd316f7b7ab19fa5812b8

[ "BSD-3-Clause" ]

null

tests/test_yaml_files.py

graeme-winter/data

6e359b169c35d1a6569fd316f7b7ab19fa5812b8

[ "BSD-3-Clause" ]

null

tests/test_yaml_files.py

graeme-winter/data

6e359b169c35d1a6569fd316f7b7ab19fa5812b8

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function import pkg_resources import pytest import string import yaml definition_yamls = { fn for fn in pkg_resources.resource_listdir("dials_data", "definitions") if fn.endswith(".yml") } hashinfo_yamls = { fn for fn...

31.222222

86

0.68785

234

1,967

5.547009

0.316239

0.067797

0.061633

0.01849

0.514638

0.437596

0.329738

0.278891

0.206471

0

0.001895

0.195221

1,967

62

87

31.725806

0.818067

0.010676

0

0.192308

0

0.170782

0

0.134615

1

0.057692

false

0

0.096154

0

0.192308

0.019231

0

null

0

null

0

1

0

695579af900de69250d3b0d15ec3f825c2990c7f

18,839

py

Python

PacELF_Phase3/scripts/csvColumnToXMLFile.py

pacelf/pacelf

cd9f3608843eaf7d9dff6e20e06ee4bf773467e3

[ "MIT" ]

null

PacELF_Phase3/scripts/csvColumnToXMLFile.py

pacelf/pacelf

cd9f3608843eaf7d9dff6e20e06ee4bf773467e3

[ "MIT" ]

2

2021-10-06T01:58:48.000Z

2022-02-18T04:52:34.000Z

PacELF_Phase3/scripts/csvColumnToXMLFile.py

pacelf/pacelf

cd9f3608843eaf7d9dff6e20e06ee4bf773467e3

[ "MIT" ]

null

# -*- coding: utf-8 -*- # This program is designed to create XML sidecar files for harvesting metadata into Mediaflux. # # Author: Jay van Schyndel # Date: 02 May 2017. # # Significant modifications done by: Daniel Baird # Date: 2018 and early 2019 # # Scenario. Metadata is stored in an MS Excel file in various colu...

37.157791

197

0.49578

1,970

18,839

4.600508

0.228426

0.021185

0.025157

0.024385

0.388613

0.366435

0.344147

0.339181

0.310493

0.29626

0

0.022933

0.400499

18,839

506

198

37.231225

0.779529

0.144116

0

0.3257

0

0.002545

0.294829

0.007297

0

1

0.007634

false

0.002545

0.015267

0

0.033079

0.02799

0

null

0

null

0

1

0

69566d12c06529c48fecd538d7a1ad6d03fffd43

1,147

py

Python

authenticationCwProject/authenticationCwApp/views.py

cs-fullstack-2019-spring/django-authentication-cw-bettyjware11

0afa675b0b6602a89ecfff9ee29a62c95f677de6

[ "Apache-2.0" ]

null

authenticationCwProject/authenticationCwApp/views.py

cs-fullstack-2019-spring/django-authentication-cw-bettyjware11

0afa675b0b6602a89ecfff9ee29a62c95f677de6

[ "Apache-2.0" ]

null

authenticationCwProject/authenticationCwApp/views.py

cs-fullstack-2019-spring/django-authentication-cw-bettyjware11

0afa675b0b6602a89ecfff9ee29a62c95f677de6

[ "Apache-2.0" ]

null

from django.shortcuts import render from django.shortcuts import HttpResponse from .forms import FoodFitnessForm from django.contrib.auth.models import User # function to test with def index(request): return HttpResponse("You made it.") # function to create new user def createUser(request): form = FoodFitness...

28.675

107

0.70619

133

1,147

6.075188

0.360902

0.068069

0.070545

0.141089

0.289604

0.220297

0.089109

0

0.173496

1,147

39

108

29.410256

0.852321

0.068003

0

0.153846

0

0.198122

0.100469

0

1

0.115385

false

0

0.153846

0.038462

0.461538

0.038462

0

null

0

null

0

1

0

695934996d2e79a5c72ef6834b5be0584eb22c99

4,763

py

Python

csv-manipulation/csv-merge.py

bohnacker/data-manipulation

a46cdfdeca8d242038b118509c20b1eb39ea5b36

[ "MIT" ]

2

2020-06-05T15:57:50.000Z

2020-06-30T12:59:00.000Z

csv-manipulation/csv-merge.py

bohnacker/data-manipulation

a46cdfdeca8d242038b118509c20b1eb39ea5b36

[ "MIT" ]

null

csv-manipulation/csv-merge.py

bohnacker/data-manipulation

a46cdfdeca8d242038b118509c20b1eb39ea5b36

[ "MIT" ]

null

from __future__ import print_function # A script to help you with manipulating CSV-files. This is especially necessary when dealing with # CSVs that have more than 65536 lines because those can not (yet) be opened in Excel or Numbers. # This script works with two files from ourworldindata.org: # https://ourworldindat...

33.780142

131

0.618728

567

4,763

5.174603

0.365079

0.030675

0.01636

0.014315

0.103613

0.093388

0.05726

0.034083

0

0.013611

0.244174

4,763

140

132

34.021429

0.801389

0.4789

0

0.031746

0

0.031746

0.186392

0.053196

0

1

0

false

0

0.047619

0

0.047619

0.190476

0

null

0

null

0

1

0

695b6b62546eaa04ce79f4261d88a6eb1b8a86ea

16,047

py

Python

script/python/assoc_sclrt_kernels_spliceai_eval_top_hits.py

HealthML/faatpipe

8292df4f34c99f035756a1acbd2c79055f652958

[ "Apache-2.0" ]

2

2021-12-06T09:00:52.000Z

2022-03-03T15:03:51.000Z

script/python/assoc_sclrt_kernels_spliceai_eval_top_hits.py

HealthML/faatpipe

8292df4f34c99f035756a1acbd2c79055f652958

[ "Apache-2.0" ]

null

script/python/assoc_sclrt_kernels_spliceai_eval_top_hits.py

HealthML/faatpipe

8292df4f34c99f035756a1acbd2c79055f652958

[ "Apache-2.0" ]

null

import os # os.environ["OMP_NUM_THREADS"] = "16" import logging logging.basicConfig(filename=snakemake.log[0], level=logging.INFO) import pandas as pd import numpy as np # seak imports from seak.data_loaders import intersect_ids, EnsemblVEPLoader, VariantLoaderSnpReader, CovariatesLoaderCSV from seak.scoretest impo...

42.228947

271

0.645541

2,173

16,047

4.598251

0.202945

0.020016

0.016813

0.003503

0.179243

0.132706

0.110889

0.096677

0.081465

0.076261

0

0.010103

0.228952

16,047

380

272

42.228947

0.797462

0.200287

0

0.114155

0

0.114707

0

0.013699

1

0.03653

false

0.009132

0.054795

0

0.127854

0

null

0

null

0

1

0

695bd5a3034969d8612674c32efea1218548dce0

4,741

py

Python

animations/dafP1.py

TristanCacqueray/demo-render

4c8403e684165e5e75c046ee023c1f794a6650a8

[ "Apache-2.0" ]

9

2018-02-19T14:17:12.000Z

2021-03-27T14:46:28.000Z

animations/dafP1.py

TristanCacqueray/demo-render

4c8403e684165e5e75c046ee023c1f794a6650a8

[ "Apache-2.0" ]

null

animations/dafP1.py

TristanCacqueray/demo-render

4c8403e684165e5e75c046ee023c1f794a6650a8

[ "Apache-2.0" ]

null

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

34.605839

75

0.607467

670

4,741

4.153731

0.274627

0.136543

0.071146

0.060367

0.440532

0.398491

0.385196

0.355372

0.341718

0.306504

0

0.08228

0.248893

4,741

136

76

34.860294

0.699242

0.133938

0

0.163462

0

0.195748

0.005132

0

1

0.096154

false

0

0.028846

0

0.134615

0

null

0

null

0

1

0

695cb03fad71e52d66b52655147eb22d30993c0d

366

py

Python

backup/server/__init__.py

TheSithPadawan/CSE222A-CourseProject

ded7232fa76a8c57e2355a6559573f71e6e63871

[ "MIT" ]

1

2019-02-17T06:41:59.000Z

backup/server/__init__.py

TheSithPadawan/CSE222A-CourseProject

ded7232fa76a8c57e2355a6559573f71e6e63871

[ "MIT" ]

1

2019-02-21T05:19:31.000Z

2019-03-02T06:38:33.000Z

backup/server/__init__.py

TheSithPadawan/CSE222A-CourseProject

ded7232fa76a8c57e2355a6559573f71e6e63871

[ "MIT" ]

1

2022-02-12T05:18:49.000Z

from flask import Flask from flask_sqlalchemy import SQLAlchemy db_url = 'postgresql://postgres:postgres@localhost:5432/postgres' db = SQLAlchemy() def create_app(): app = Flask(__name__) app.config["SQLALCHEMY_DATABASE_URI"] = db_url app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False # initialize ...

22.875

65

0.743169

46

366

5.630435

0.5

0.069498

0.146718

0

0.013029

0.161202

366

15

66

24.4

0.830619

0.051913

0

0.311047

0

1

0.1

false

0

0.2

0

0.4

0

null

0

null

0

1

0

696b0fe7fb16a5ee74d9c65d62711192a825d49b

942

py

Python

loop_fix_sample_rate.py

Crystalwarrior/AO2-Scripts

acbabc64706374362bd93662d9ce1e2cf8eb35fb

[ "MIT" ]

1

2020-11-21T14:27:27.000Z

loop_fix_sample_rate.py

Crystalwarrior/AO2-Scripts

acbabc64706374362bd93662d9ce1e2cf8eb35fb

[ "MIT" ]

null

loop_fix_sample_rate.py

Crystalwarrior/AO2-Scripts

acbabc64706374362bd93662d9ce1e2cf8eb35fb

[ "MIT" ]

1

2020-08-14T02:44:46.000Z

import os from os import path old_sample_rate = float(input("What was the original sample rate? ")) new_sample_rate = float(input("What is the new sample rate? ")) for file in os.listdir(os.getcwd()): name = file.rsplit(".",1)[0] if file.rsplit(".",1)[-1] == "opus" and path.exists(name + ".opus.txt"): ...

36.230769

76

0.549894

129

942

3.891473

0.387597

0.119522

0.077689

0.079681

0.159363

0

0.008837

0.279193

942

26

77

36.230769

0.730486

0

0.083333

0

0.184518

0.02439

0

1

0

false

0

0.083333

0

0.083333

0.125

0

null

0

null

0

1

0

696b8fef41b6b27dc44ddf7473367dc19aba29de

2,221

py

Python

reviewboard/extensions/templatetags/rb_extensions.py

Khan/reviewboard

51ec4261e67b8bf4e2cfa9a0894a97b16509ad33

[ "MIT" ]

1

2015-09-11T15:50:17.000Z

reviewboard/extensions/templatetags/rb_extensions.py

Khan/reviewboard

51ec4261e67b8bf4e2cfa9a0894a97b16509ad33

[ "MIT" ]

null

reviewboard/extensions/templatetags/rb_extensions.py

Khan/reviewboard

51ec4261e67b8bf4e2cfa9a0894a97b16509ad33

[ "MIT" ]

null

from django import template from django.conf import settings from django.template.loader import render_to_string from djblets.util.decorators import basictag from reviewboard.extensions.hooks import DiffViewerActionHook, \ NavigationBarHook, \ ...

30.847222

78

0.641603

225

2,221

6.16

0.288889

0.087302

0.090909

0.077922

0.344877

0.29798

0.243146

0.131313

0

0.281405

2,221

71

79

31.28169

0.868421

0.130122

0

0.25

0

0.051941

0.042497

0

1

0.104167

false

0

0.104167

0

0.3125

0

null

0

null

0

1

0

696c68c8ad6875cf4824c538720ffa0e9657eb27

8,671

py

Python

opengnn/models/model.py

CoderPat/OpenGNN

bc54328ad4aa034098073c72153eed361b4266ce

[ "MIT" ]

32

2019-01-28T13:38:21.000Z

2022-03-29T08:39:00.000Z

opengnn/models/model.py

CoderPat/OpenGNN

bc54328ad4aa034098073c72153eed361b4266ce

[ "MIT" ]

1

2020-01-16T03:09:18.000Z

2020-01-16T03:44:20.000Z

opengnn/models/model.py

CoderPat/OpenGNN

bc54328ad4aa034098073c72153eed361b4266ce

[ "MIT" ]

7

2019-03-07T14:13:15.000Z

2022-03-15T10:40:41.000Z

from abc import ABC, abstractmethod from typing import Dict, Any import tensorflow as tf import numpy as np from opengnn.utils.data import diverse_batch, batch_and_bucket_by_size from opengnn.utils.data import filter_examples_by_size, truncate_examples_by_size def optimize(loss: tf.Tensor, params: Dict[st...

39.958525

93

0.587937

913

8,671

5.297919

0.20701

0.018813

0.033078

0.02853

0.357039

0.237544

0.199504

0.167459

0.104817

0.095927

0

0.000705

0.345404

8,671

216

94

40.143519

0.85148

0.075539

0

0.170886

0

0.020282

0

0.00463

0.006329

1

0.094937

false

0

0.037975

0.018987

0.208861

0

null

0

null

0

1

0

696cdcbe00ab21ab20807832ccc7573329262037

894

py

Python

pyopendds/dev/itl2py/Output.py

jwillemsen/pyopendds

fd025416a02433dd42eeaf1ae449b6c1e19d177e

[ "MIT" ]

19

2020-03-10T22:23:00.000Z

2022-03-30T01:18:56.000Z

pyopendds/dev/itl2py/Output.py

jwillemsen/pyopendds

fd025416a02433dd42eeaf1ae449b6c1e19d177e

[ "MIT" ]

28

2020-02-15T18:07:08.000Z

2022-03-31T18:38:57.000Z

pyopendds/dev/itl2py/Output.py

jwillemsen/pyopendds

fd025416a02433dd42eeaf1ae449b6c1e19d177e

[ "MIT" ]

6

2021-04-29T07:39:11.000Z

2022-01-21T13:38:13.000Z

from pathlib import Path from .ast import NodeVisitor class Output(NodeVisitor): def __init__(self, context: dict, path: Path, templates: dict): self.context = context self.path = path self.templates = {} for filename, template in templates.items(): self.templates[pat...

33.111111

85

0.530201

91

894

5.10989

0.406593

0.11828

0.055914

0.068817

0.103226

0

0.282998

894

26

86

34.384615

0.725429

0

0.190476

0

0.135347

0.089485

0

1

0.095238

false

0

0.095238

0

0.238095

0.142857

0

null

0

null

0

1

0

696f6073b8eafcb697b67113138ad0cec4dabea2

3,423

py

Python

Lab7/Q3.py

fancent/PHY407

38ce8badb9537060becc255ec64e6de2968ca73c

[ "MIT" ]

1

2020-12-20T17:30:06.000Z

Lab7/Q3.py

fancent/PHY407

38ce8badb9537060becc255ec64e6de2968ca73c

[ "MIT" ]

null

Lab7/Q3.py

fancent/PHY407

38ce8badb9537060becc255ec64e6de2968ca73c

[ "MIT" ]

1

2021-06-12T14:21:13.000Z

""" This file aims to simulate the Belousov–Zhabotinsky reaction, is a chemical mixture which, when heated, undergoes a series of reactions that cause the chemical concentrations in the mixture to oscillate between two extremes (x, y). """ import numpy as np import matplotlib.pyplot as plt ## Constants a = 1 b = 3 ...

31.990654

101

0.532282

512

3,423

3.544922

0.3125

0.008815

0.041322

0.031956

0

0.038698

0.33567

3,423

107

102

31.990654

0.757696

0.334502

0

0.0625

0

0.045564

0

1

0.078125

false

0

0.03125

0

0.21875

0

null

0

null

0

1

0

69708664ff337e44ffae2d3817c35e032d51bec6

2,747

py

Python

tests/solr_tests/tests/management_commands.py

kmgroup/django-haystack-1.2.x-for-d1.8

b9368f169eec06e78131e81d6968cc6580d6ddee

[ "BSD-3-Clause" ]

1

2016-02-24T19:40:05.000Z

tests/solr_tests/tests/management_commands.py

kmgroup/django-haystack-1.2.x-for-d1.8

b9368f169eec06e78131e81d6968cc6580d6ddee

[ "BSD-3-Clause" ]

null

tests/solr_tests/tests/management_commands.py

kmgroup/django-haystack-1.2.x-for-d1.8

b9368f169eec06e78131e81d6968cc6580d6ddee

[ "BSD-3-Clause" ]

null

import pysolr from django.conf import settings from django.core.management import call_command from django.test import TestCase from haystack import indexes from haystack.sites import SearchSite from core.models import MockModel class SolrMockSearchIndex(indexes.SearchIndex): text = indexes.CharField(document=Tru...

36.626667

73

0.650528

316

2,747

5.541139

0.306962

0.054826

0.11936

0.144489

0.432895

0.415191

0.375214

0.350657

0.349515

0

0.014513

0.222424

2,747

74

37.121622

0.805243

0.056425

0

0.38

0

0.068832

0

0.22

1

0.1

false

0

0.18

0

0.4

0

null

0

null

0

1

0

6971294bf9fe140162bcbb44e819402a23fefea8

15,633

py

Python

cons3rt/models/user.py

cons3rt/cons3rt-python-sdk

f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0

[ "RSA-MD" ]

null

cons3rt/models/user.py

cons3rt/cons3rt-python-sdk

f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0

[ "RSA-MD" ]

null

cons3rt/models/user.py

cons3rt/cons3rt-python-sdk

f0bcb295735ac55bbe47448fcbd95d2c7beb3ec0

[ "RSA-MD" ]

null

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

27.966011

382

0.602827

1,820

15,633

4.992857

0.112088

0.044899

0.074832

0.078574

0.443381

0.335864

0.307252

0.195994

0.103444

0.030923

0

0.018182

0.306915

15,633

558

383

28.016129

0.820489

0.319197

0

0.085714

0

0.09905

0.018237

0

1

0.163265

false

0

0.016327

0

0.289796

0.008163

0

null

0

null

0

1

0

69716928cf6a5af476069ffd69aec9842674f683

1,703

py

Python

Topics/6_Compute/files/lambda_keepsecret.py

nsvijay04b1/AWS_Certified_Solutions_Architect_Professional

f141b9a64b652ffa9496ff47d527e7eaf4df006d

[ "Apache-2.0" ]

1

2022-03-10T18:38:54.000Z

Topics/6_Compute/files/lambda_keepsecret.py

nsvijay04b1/AWS_Certified_Solutions_Architect_Professional

f141b9a64b652ffa9496ff47d527e7eaf4df006d

[ "Apache-2.0" ]

null

Topics/6_Compute/files/lambda_keepsecret.py

nsvijay04b1/AWS_Certified_Solutions_Architect_Professional

f141b9a64b652ffa9496ff47d527e7eaf4df006d

[ "Apache-2.0" ]

1

2022-03-10T18:38:56.000Z

from __future__ import print_function import json import boto3 print('Loading function') s3 = boto3.client('s3') bucket_of_interest = "secretcatpics" # For a PutObjectAcl API Event, gets the bucket and key name from the event # If the object is not private, then it makes the object private by making a # PutObjectA...

32.132075

84

0.704052

266

1,703

4.424812

0.296992

0.071368

0.040782

0.279524

0.189465

0.143585

0.094308

0

0.009279

0.177334

1,703

52

85

32.75

0.830835

0.354668

0

0.068966

0

0.247698

0

1

0.103448

false

0

0.103448

0

0.344828

0.206897

0

null

0

null

0

1

0

15c53f273bb229773a9dd501a2ed7fb628ef13eb

399

py

Python

solutions/dog_muffin.py

attawesome/Computer-Vision-with-OpenCV

1198bfee8683f6b5c415e07e085fa528e00ecd0a

[ "MIT" ]

6

2020-04-30T21:46:13.000Z

2021-02-15T21:32:50.000Z

solutions/dog_muffin.py

attawesome/Computer-Vision-with-OpenCV

1198bfee8683f6b5c415e07e085fa528e00ecd0a

[ "MIT" ]

null

solutions/dog_muffin.py

attawesome/Computer-Vision-with-OpenCV

1198bfee8683f6b5c415e07e085fa528e00ecd0a

[ "MIT" ]

6

2020-04-27T17:59:50.000Z

2020-12-13T16:10:09.000Z

import cv2 import numpy as np import matplotlib.pyplot as plt image = np.flip(cv2.imread('../img/dog_muffin.jpg'), axis=2) mask = np.zeros(image.shape[:2], dtype="uint8") cv2.rectangle(mask, (90, 120), (160, 190), 255, -1) masked = cv2.bitwise_and(image, image, mask=mask) plt.figure(figsize=(20, 10)) plt.imshow(np.fl...

30.692308

60

0.691729

67

399

4.089552

0.597015

0.043796

0

0.075419

0.102757

399

12

61

33.25

0.689944

0

0.095238

0.052632

0

1

0

false

0

0.3

0

0.3

0

null

0

null

0

1

0

15c8d860e73304bf40bd4b99e9d98b1c9921b456

2,676

py

Python

jetavator/schema_registry/VaultObject.py

jetavator/jetavator

6edc7b57532809f9903735c333544658631252b5

[ "Apache-2.0" ]

null

jetavator/schema_registry/VaultObject.py

jetavator/jetavator

6edc7b57532809f9903735c333544658631252b5

[ "Apache-2.0" ]

86

2020-04-11T18:03:32.000Z

2021-06-15T14:48:45.000Z

jetavator/schema_registry/VaultObject.py

jetavator/jetavator

6edc7b57532809f9903735c333544658631252b5

[ "Apache-2.0" ]

null

from __future__ import annotations from typing import Any, Dict, List from abc import ABC, abstractmethod from datetime import datetime from collections import namedtuple from lazy_property import LazyProperty from .sqlalchemy_tables import ObjectDefinition import wysdom from jetavator.services import ComputeServ...

26.49505

72

0.65284

264

2,676

6.424242

0.318182

0.084906

0.070755

0.028302

0.03184

0

0.2642

2,676

100

73

26.76

0.861351

0

0.093333

0

0.062079

0.017951

0

1

0.146667

false

0.013333

0.133333

0.093333

0.453333

0

null

0

null

0

1

0

15ced209f13f0b2a1de3e15ddd92542a87b54d79

29,172

py

Python

ginga/canvas/types/plots.py

kyraikeda/ginga

e0ce979de4a87e12ba7a90eec0517a0be05d14bc

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

76

2015-01-05T14:46:14.000Z

2022-03-23T04:10:54.000Z

ginga/canvas/types/plots.py

kyraikeda/ginga

e0ce979de4a87e12ba7a90eec0517a0be05d14bc

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

858

2015-01-17T01:55:12.000Z

2022-03-08T20:20:31.000Z

ginga/canvas/types/plots.py

kyraikeda/ginga

e0ce979de4a87e12ba7a90eec0517a0be05d14bc

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

60

2015-01-14T21:59:07.000Z

2022-02-13T03:38:49.000Z

# # plots.py -- classes for plots added to Ginga canvases. # # This is open-source software licensed under a BSD license. # Please see the file LICENSE.txt for details. # import sys import numpy as np from ginga.canvas.CanvasObject import (CanvasObjectBase, _color, register_canva...

35.189385

80

0.547614

4,021

29,172

3.828152

0.106441

0.007406

0.005457

0.005717

0.583902

0.526148

0.487429

0.444358

0.409277

0.381472

0

0.016214

0.350953

29,172

828

81

35.231884

0.796768

0.199095

0

0.479371

0

0.01986

0

0.002415

0.001965

1

0.10609

false

0.009823

0.013752

0.001965

0.165029

0

null

0

null

0

1

0

15d0460d3097f204a84b42c16fe07a92ea6eb177

8,305

py

Python

process_disqualified_directors_data.py

Global-Witness/uk-companies-house-parsers-public

e33a3a7791d6565638e2f3c0fd1233a909d983f2

[ "MIT" ]

2

2019-08-03T16:58:43.000Z

2022-01-23T16:57:52.000Z

process_disqualified_directors_data.py

Global-Witness/uk-companies-house-parsers-public

e33a3a7791d6565638e2f3c0fd1233a909d983f2

[ "MIT" ]

1

2019-06-18T10:10:20.000Z

process_disqualified_directors_data.py

Global-Witness/uk-companies-house-parsers-public

e33a3a7791d6565638e2f3c0fd1233a909d983f2

[ "MIT" ]

1

2020-11-01T10:21:03.000Z

import csv import os import sys from collections import defaultdict PERSONS_OUTPUT_FILENAME_TEMPLATE = "persons_data_%s.csv" DISQUALIFICATIONS_FILENAME_TEMPLATE = "disqualifications_data_%s.csv" EXEMPTIONS_FILENAME_TEMPLATE = 'exemptions_data_%s.csv' SNAPSHOT_HEADER_IDENTIFIER = "DISQUALS" TRAILER_RECORD_IDENTIFIER = ...

41.318408

162

0.706562

1,021

8,305

5.354554

0.164545

0.040424

0.026157

0.02634

0.462777

0.375526

0.313335

0.284068

0.252241

0

0.02382

0.206382

8,305

201

163

41.318408

0.805644

0.007586

0

0.106742

0

0.005618

0.143811

0.021238

0

1

0.050562

false

0

0.022472

0

0.095506

0.044944

0

null

0

null

0

1

0

15d05a5b381b6c77c32c1817ba56017e005be78f

2,875

py

Python

myPackage/tools.py

marcgonzmont/ML_Challenge

ed9767689064a941c2db7642fc499828d0ad1326

[ "CC0-1.0" ]

null

myPackage/tools.py

marcgonzmont/ML_Challenge

ed9767689064a941c2db7642fc499828d0ad1326

[ "CC0-1.0" ]

null

myPackage/tools.py

marcgonzmont/ML_Challenge

ed9767689064a941c2db7642fc499828d0ad1326

[ "CC0-1.0" ]

null

from os import makedirs, errno from os.path import exists, join import numpy as np from matplotlib import pyplot as plt import itertools from sklearn import preprocessing def makeDir(path): ''' To create output path if doesn't exist see: https://stackoverflow.com/questions/273192/how-can-i-create...

31.593407

102

0.619826

371

2,875

4.708895

0.425876

0.060103

0.01889

0.029765

0.059531

0.043503

0

0.007583

0.266087

2,875

90

103

31.944444

0.820379

0.224

0

0.089932

0

1

0.074074

false

0

0.111111

0

0.222222

0.111111

0

null

0

null

0

1

0

15d0b4957b2e9a69a93ba4e15d527f629984be60

9,802

py

Python

maskrcnn_benchmark/data/datasets/kitti.py

pwllr/IDA-3D

f5c8acbcf90a7c351499249a24754ad311da375e

[ "MIT" ]

78

2020-03-02T12:00:57.000Z

2022-02-21T09:48:08.000Z

maskrcnn_benchmark/data/datasets/kitti.py

pwllr/IDA-3D

f5c8acbcf90a7c351499249a24754ad311da375e

[ "MIT" ]

19

2020-03-02T12:07:18.000Z

2022-03-30T08:04:06.000Z

maskrcnn_benchmark/data/datasets/kitti.py

pwllr/IDA-3D

f5c8acbcf90a7c351499249a24754ad311da375e

[ "MIT" ]

14

2020-06-14T03:29:47.000Z

2021-07-21T06:30:08.000Z

import os import torch import torch.utils.data from PIL import Image import sys import numpy as np if sys.version_info[0] == 2: import xml.etree.cElementTree as ET else: import xml.etree.ElementTree as ET from maskrcnn_benchmark.structures.bounding_box import BoxList from maskrcnn_benchmark.structures.bound...

36.169742

89

0.576515

1,245

9,802

4.301205

0.160643

0.025397

0.039216

0.041083

0.302708

0.206162

0.133147

0.060878

0

0.012839

0.28484

9,802

270

90

36.303704

0.75107

0.005917

0

0.03653

0

0.079791

0

0.004566

1

0.041096

false

0

0.045662

0.009132

0.13242

0

null

0

null

0

1

0

15d22cd4619c04c4fa2d8d4c420166060bc9ee2a

25,744

py

Python

escriptcore/py_src/faultsystems.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

escriptcore/py_src/faultsystems.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

escriptcore/py_src/faultsystems.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

############################################################################## # # Copyright (c) 2003-2020 by The University of Queensland # http://www.uq.edu.au # # Primary Business: Queensland, Australia # Licensed under the Apache License, version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 # # Development unti...

37.803231

305

0.595284

3,880

25,744

3.862113

0.106186

0.015682

0.018018

0.010277

0.445245

0.389456

0.363764

0.335269

0.305706

0.292759

0

0.022846

0.26379

25,744

680

306

37.858824

0.767794

0.361793

0

0.338462

0

0.050321

0

1

0.066667

false

0

0.012821

0

0.164103

0.002564

0

null

0

null

0

1

0

15d2546aeaf271239203d19ad3ebcd6e67edaf83

9,680

py

Python

acs/acs/Core/FileParsingManager.py

wangji1/test-framework-and-suites-for-android

59564f826f205fe7fab64f45b88b1a6dde6900af

[ "Apache-2.0" ]

null

acs/acs/Core/FileParsingManager.py

wangji1/test-framework-and-suites-for-android

59564f826f205fe7fab64f45b88b1a6dde6900af

[ "Apache-2.0" ]

null

acs/acs/Core/FileParsingManager.py

wangji1/test-framework-and-suites-for-android

59564f826f205fe7fab64f45b88b1a6dde6900af

[ "Apache-2.0" ]

null

""" :copyright: (c)Copyright 2013, Intel Corporation All Rights Reserved. The source code contained or described here in and all documents related to the source code ("Material") are owned by Intel Corporation or its suppliers or licensors. Title to the Material remains with Intel Corporation or its suppliers and lic...

36.946565

119

0.630785

1,135

9,680

5.171806

0.21674

0.048722

0.028109

0.022658

0.36184

0.273765

0.235945

0.207496

0.191141

0.16201

0

0.002343

0.294421

9,680

261

120

37.088123

0.857101

0.335537

0

0.262712

0

0.05807

0

1

0.09322

false

0

0.050847

0

0.228814

0

null

0

null

0

1

0

15d53e64696bdcd31c356310ca351fd13adec82e

2,256

py

Python

Chapter 16/excel_to_csv.py

ostin-r/automate-boring-stuff-solutions

78f0a2981e6520ff2907285e666168a0f35eba02

[ "FTL" ]

4

2021-06-14T10:37:58.000Z

2021-12-30T17:49:17.000Z

Chapter 16/excel_to_csv.py

ostin-r/automate-boring-stuff-solutions

78f0a2981e6520ff2907285e666168a0f35eba02

[ "FTL" ]

null

Chapter 16/excel_to_csv.py

ostin-r/automate-boring-stuff-solutions

78f0a2981e6520ff2907285e666168a0f35eba02

[ "FTL" ]

1

2021-07-29T15:26:54.000Z

''' Austin Richards 4/14/21 excel_to_csv.py automates the conversion of many xlsx files into csv files. This program names the csv file in the format <filename>_<sheetname>.csv ''' import logging import os, csv, openpyxl from pathlib import Path from openpyxl.utils import get_column_letter logging.basicConfig(level=...

35.25

98

0.649379

318

2,256

4.424528

0.339623

0.028429

0.021322

0.028429

0.027008

0

0.006579

0.258865

2,256

64

99

35.25

0.834928

0.223404

0

0.092281

0.019153

0

1

0.054054

false

0

0.108108

0

0.189189

0.081081

0

null

0

null

0

1

0

15d571532daed68e7ee3f7aca094467594fa8bdd

2,041

py

Python

kg/diff/templates/real_abs_rel_template.py

kevinsogo/compgen

c765fdb3008d41f409836a45ad5a506db6a99e74

[ "MIT" ]

6

2019-11-30T17:03:13.000Z

2021-09-30T05:08:31.000Z

kg/diff/templates/real_abs_rel_template.py

kevinsogo/compgen

c765fdb3008d41f409836a45ad5a506db6a99e74

[ "MIT" ]

1

2020-01-20T12:13:03.000Z

kg/diff/templates/real_abs_rel_template.py

kevinsogo/compgen

c765fdb3008d41f409836a45ad5a506db6a99e74

[ "MIT" ]

null

# Checks for an XXX error ### @replace "XXX", ('absolute/relative' if has_rel else 'absolute') # with an error of at most 1e-XXX ### @replace "XXX", prec # Don't edit this file. Edit real_abs_rel_template.py instead, and then run _real_check_gen.py # Oh, actually, you're editing the correct file. Go on. ...

52.333333

123

0.588437

283

2,041

4.134276

0.45583

0.034188

0.020513

0.030769

0.129915

0.092308

0

0.019555

0.273395

2,041

38

124

53.710526

0.769386

0.353748

0

0.223612

0

1

0.034483

false

0

0.103448

0

0.137931

0.068966

0

null

0

null

0

1

0

15d5daf61123ba5cf4f2cb454d6eaf622ef68705

1,099

py

Python

osspeak/recognition/actions/library/process.py

OSSpeak/OSSpeak

327c38a37684165f87bf8d76ab2ca135b43b8ab7

[ "MIT" ]

1

2020-03-17T10:24:41.000Z

osspeak/recognition/actions/library/process.py

OSSpeak/OSSpeak

327c38a37684165f87bf8d76ab2ca135b43b8ab7

[ "MIT" ]

12

2016-09-28T05:16:00.000Z

2020-11-27T22:32:40.000Z

osspeak/recognition/actions/library/process.py

OSSpeak/OSSpeak

327c38a37684165f87bf8d76ab2ca135b43b8ab7

[ "MIT" ]

null

import time import os import subprocess import threading class ProcessHandler: def __init__(self, *args, on_output=None): self.process = subprocess.Popen(args, stdin=subprocess.PIPE, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True) self.on_output = on_output self.sta...

28.179487

78

0.626934

138

1,099

4.862319

0.427536

0.04769

0.035768

0

0.002481

0.266606

1,099

39

79

28.179487

0.830025

0

0.037273

0

1

0.1875

false

0

0.125

0.03125

0.40625

0.03125

0

null

0

null

0

1

0

15d6695d5c93e5916f4ed45db19a2876ea82e9ee

977

py

Python

setup.py

haaspt/whatsnew

0524ad2b6132593282946073f2d647ea0ce960e8

[ "MIT" ]

2

2015-09-02T21:14:26.000Z

2015-09-02T22:23:04.000Z

setup.py

haaspt/whatsnew

0524ad2b6132593282946073f2d647ea0ce960e8

[ "MIT" ]

2

2018-01-02T00:54:49.000Z

2018-01-02T00:56:01.000Z

setup.py

haaspt/whatsnew

0524ad2b6132593282946073f2d647ea0ce960e8

[ "MIT" ]

null

import os from setuptools import setup readme = open('README.md').read() requirements = ['click', 'feedparser', 'beautifulsoup4'] setup( name = "whatsnew", version = "0.13", author = "Patrick Tyler Haas", author_email = "patrick.tyler.haas@gmail.com", description = ("A lightweight, convenient too...

29.606061

125

0.602866

102

977

5.72549

0.784314

0.041096

0.054795

0

0.009615

0.254862

977

32

126

30.53125

0.792582

0

0.068966

0

0.034483

0.47697

0.028659

0

1

0

false

0

0.068966

0

0.068966

0

null

0

null

0

1

0

15da0373b1191b0c411cc06fa6774cfb3700fb3a

2,880

py

Python

Flask-Server/timeswitch/server.py

weichweich/pi-timeswitch

c4428783fbf8b2294f7a6f55c312beeabae94d6f

[ "MIT" ]

4

2015-10-12T19:13:22.000Z

2018-07-18T17:55:48.000Z

Flask-Server/timeswitch/server.py

weichweich/pi-timeswitch

c4428783fbf8b2294f7a6f55c312beeabae94d6f

[ "MIT" ]

null

Flask-Server/timeswitch/server.py

weichweich/pi-timeswitch

c4428783fbf8b2294f7a6f55c312beeabae94d6f

[ "MIT" ]

2

2017-04-25T16:19:09.000Z

2022-01-24T08:15:12.000Z

import argparse import logging import sys from timeswitch.switch.manager import SwitchManager from timeswitch.app import setup_app from timeswitch.api import setup_api from timeswitch.model import setup_model # ###################################### # # parsing commandline args # #####################################...

32

94

0.601389

329

2,880

5.118541

0.386018

0.033254

0.050475

0.033848

0.099762

0.065321

0

0.002291

0.242361

2,880

89

95

32.359551

0.769478

0.100347

0

0.071429

0

0.162196

0.015683

0

1

0.071429

false

0

0.125

0

0.214286

0

null

0

null

0

1

0

15db2920ca4b3d1d42695dca0b6816fa94b0f30d

12,055

py

Python

utils/videoloader.py

mie-lab/traffic4cast

aea6f90e8884c01689c84255c99e96d2b58dc470

[ "Apache-2.0" ]

8

2020-07-26T20:54:58.000Z

2022-03-01T14:36:13.000Z

utils/videoloader.py

mie-lab/traffic4cast

aea6f90e8884c01689c84255c99e96d2b58dc470

[ "Apache-2.0" ]

null

utils/videoloader.py

mie-lab/traffic4cast

aea6f90e8884c01689c84255c99e96d2b58dc470

[ "Apache-2.0" ]

5

2019-11-05T09:46:01.000Z

2021-01-24T04:42:53.000Z

import sys, os, time from pathlib import Path import pickle import datetime as dt import glob import h5py import numpy as np from matplotlib import pyplot as plt from multiprocessing import Pool from functools import partial import torch from torchvision import datasets, transforms def subsample(x, n=0, m=200): ...

34.942029

132

0.555454

1,436

12,055

4.443593

0.194986

0.03291

0.026328

0.017866

0.226297

0.156872

0.118163

0.105313

0.071149

0.058925

0

0.018006

0.355039

12,055

345

133

34.942029

0.801929

0.233513

0

0.181818

0

0.022516

0

1

0.032086

false

0.005348

0.064171

0.005348

0.139037

0

null

0

null

0

1

0

15de738d2ebcbbe25e92a2d8f2d43e4cb6af3d82

1,760

py

Python

pychunkedgraph/ingest/ingestion_utils.py

perlman/PyChunkedGraph

2c582f46a8292010e8f9f54c94c63af0b172bdad

[ "MIT" ]

null

pychunkedgraph/ingest/ingestion_utils.py

perlman/PyChunkedGraph

2c582f46a8292010e8f9f54c94c63af0b172bdad

[ "MIT" ]

null

pychunkedgraph/ingest/ingestion_utils.py

perlman/PyChunkedGraph

2c582f46a8292010e8f9f54c94c63af0b172bdad

[ "MIT" ]

null

import numpy as np from pychunkedgraph.backend import chunkedgraph, chunkedgraph_utils import cloudvolume def initialize_chunkedgraph(cg_table_id, ws_cv_path, chunk_size, cg_mesh_dir, fan_out=2, instance_id=None, project_id=None): """ Initalizes a chunkedgraph on BigTable :param ...

30.877193

84

0.64375

251

1,760

4.25498

0.318725

0.067416

0.029963

0.02809

0.031835

0

0.011416

0.253409

1,760

56

85

31.428571

0.80137

0.289205

0

0.084041

0

1

0.04

false

0

0.12

0

0.2

0

null

0

null

0

1

0

15dec2f55095e3b6ec802c41f0cedadb58146312

2,691

py

Python

brew_gui.py

mburgess00/brew_controller

913e3b37b9421759db5186e5f0e44cf8f4fd7f6a

[ "Apache-2.0" ]

null

brew_gui.py

mburgess00/brew_controller

913e3b37b9421759db5186e5f0e44cf8f4fd7f6a

[ "Apache-2.0" ]

null

brew_gui.py

mburgess00/brew_controller

913e3b37b9421759db5186e5f0e44cf8f4fd7f6a

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 from guizero import App, Text, Slider, Combo, PushButton, Box, Picture pause = True def readsensors(): return {"hlt" : 160, "rims" : 152, "bk" : 75} def handlepause(): global pause global pauseState print("Pause Button pressed") if pause: print("running") pa...

37.901408

91

0.670011

393

2,691

4.577608

0.264631

0.061145

0.048916

0.043357

0.414675

0.307949

0.193997

0.114508

0.047804

0

0.047783

0.136752

2,691

70

92

38.442857

0.726647

0.007804

0

0.135593

0

0.107156

0

1

0.033898

false

0

0.016949

0.084746

0.050847

0

null

0

null

0

1

0

15e018d003308b6e32514ff4f0cb219f8f099c3b

2,498

py

Python

tests/integration/test_integration.py

nuvolos-cloud/resolos

0918066cab7b11ef04ae005f3e052b14a65ded68

[ "MIT" ]

1

2021-11-30T06:47:24.000Z

tests/integration/test_integration.py

nuvolos-cloud/resolos

0918066cab7b11ef04ae005f3e052b14a65ded68

[ "MIT" ]

1

2021-04-08T12:56:39.000Z

tests/integration/test_integration.py

nuvolos-cloud/resolos

0918066cab7b11ef04ae005f3e052b14a65ded68

[ "MIT" ]

null

from click.testing import CliRunner from resolos.interface import ( res_remote_add, res_remote_remove, res_init, res_sync, res ) from resolos.remote import read_remote_db, list_remote_ids, delete_remote from tests.common import verify_result import logging from pathlib import Path import os log...

43.068966

219

0.601281

308

2,498

4.681818

0.331169

0.066574

0.09154

0.116505

0.222607

0.203884

0.195562

0.144244

0.117198

0.085992

0

0.002158

0.257806

2,498

58

220

43.068966

0.77562

0.034027

0

0.081633

0

0.234635

0.030316

0

0.081633

1

0.020408

false

0.020408

0.142857

0

0.204082

0

null

0

null

0

1

0

15e034a0325db7cea2ebf82178c6ea8ad80d5cda

946

py

Python

test/test_add_group.py

romanovaes/python_training

5df3a9b716e7659fb8f61e0b55e5217cc6a1a89e

[ "Apache-2.0" ]

null

test/test_add_group.py

romanovaes/python_training

5df3a9b716e7659fb8f61e0b55e5217cc6a1a89e

[ "Apache-2.0" ]

null

test/test_add_group.py

romanovaes/python_training

5df3a9b716e7659fb8f61e0b55e5217cc6a1a89e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from builtins import * from model.group import Group import pytest import allure #@pytest.mark.parametrize("group", testdata, ids=[repr(x) for x in testdata]) @allure.step('test_add_group') def test_add_group(app, db, json_groups, check_ui): group=json_groups #with pytest.allu...

35.037037

153

0.689218

151

946

4.112583

0.364238

0.072464

0.064412

0.077295

0.21095

0.125604

0

0.001305

0.190275

946

26

154

36.384615

0.809399

0.32241

0

0.022187

0

0.142857

1

0.071429

false

0

0.285714

0

0.357143

0

null

0

null

0

1

0

15e3d38045eea34ae5ee1b0e2ce54a0a8b72223a

3,988

py

Python

test/test_docx_context.py

ieric2/docx2python

4a1266811f9bd71f5eea5e0d458a391fd9eb4f73

[ "MIT" ]

52

2019-07-08T19:37:45.000Z

2022-03-30T11:36:08.000Z

test/test_docx_context.py

ieric2/docx2python

4a1266811f9bd71f5eea5e0d458a391fd9eb4f73

[ "MIT" ]

29

2019-08-29T09:48:24.000Z

2022-03-13T13:58:58.000Z

test/test_docx_context.py

ieric2/docx2python

4a1266811f9bd71f5eea5e0d458a391fd9eb4f73

[ "MIT" ]

23

2019-08-29T11:33:13.000Z

2022-03-03T17:22:35.000Z

#!/usr/bin/env python3 # _*_ coding: utf-8 _*_ """Test docx2python.docx_context.py author: Shay Hill created: 6/26/2019 """ import os import shutil import zipfile from collections import defaultdict from typing import Any, Dict import pytest from docx2python.docx_context import ( collect_docProps, collect_nu...

33.79661

87

0.658977

476

3,988

5.388655

0.327731

0.060039

0.05614

0.084211

0.363743

0.355166

0.284211

0

0.010407

0.228937

3,988

117

88

34.08547

0.82374

0.243731

0

0.287879

0

0.195848

0.081661

0

0.166667

1

0.136364

false

0

0.106061

0

0.318182

0

null

0

null

0

1

0

15e42de122c93447226408dd404b3ccbe892d9e6

1,022

py

Python

src/transporters/approximator/transporter.py

mucharafal/optics_generator_python

c14d4e5f19f921f4dc0a98129bca9d31754b72ad

[ "MIT" ]

null

src/transporters/approximator/transporter.py

mucharafal/optics_generator_python

c14d4e5f19f921f4dc0a98129bca9d31754b72ad

[ "MIT" ]

null

src/transporters/approximator/transporter.py

mucharafal/optics_generator_python

c14d4e5f19f921f4dc0a98129bca9d31754b72ad

[ "MIT" ]

null

import transporters.approximator.runner as ra from data.parameters_names import ParametersNames as Parameters def transport(approximator, particles): """matrix in format returned by data.particles_generator functions""" segments = dict() segments["start"] = particles matrix_for_transporter = partic...

28.388889

113

0.683953

106

1,022

6.386792

0.415094

0.088626

0

0.006418

0.237769

1,022

35

114

29.2

0.862644

0.061644

0

0.008395

0

1

0.173913

false

0

0.086957

0.043478

0.434783

0

null

0

null

0

1

0

15f39d0f421f2c653443422d6ac14afb93981bf5

5,264

py

Python

app/projects/tests/test_portfolio_api.py

nestor-san/cooperation-fit

1a922233345698970c7e18e6213ad0320de70cce

[ "MIT" ]

null

app/projects/tests/test_portfolio_api.py

nestor-san/cooperation-fit

1a922233345698970c7e18e6213ad0320de70cce

[ "MIT" ]

null

app/projects/tests/test_portfolio_api.py

nestor-san/cooperation-fit

1a922233345698970c7e18e6213ad0320de70cce

[ "MIT" ]

null

from django.contrib.auth import get_user_model from django.urls import reverse from django.test import TestCase from rest_framework import status from rest_framework.test import APIClient from core.models import PortfolioItem from projects.serializers import PortfolioItemSerializer PORTFOLIO_URL = reverse('project...

38.992593

78

0.644187

606

5,264

5.412541

0.181518

0.13872

0.051829

0.05122

0.629268

0.590854

0.553659

0.506707

0.486585

0.43872

0

0.007912

0.255699

5,264

134

79

39.283582

0.82925

0.101634

0

0.56383

0

0.084956

0.011984

0

0.138298

1

0.117021

false

0.042553

0.074468

0

0.223404

0

null

0

null

0

1

0

15f6ebf3d219ce6b1cd4eb680d9639aa61bcb259

369

py

Python

test.py

liyao001/EVBUS

8730ce6b062bc31df27506a06723dee3b5ab511a

[ "Apache-2.0" ]

null

test.py

liyao001/EVBUS

8730ce6b062bc31df27506a06723dee3b5ab511a

[ "Apache-2.0" ]

null

test.py

liyao001/EVBUS

8730ce6b062bc31df27506a06723dee3b5ab511a

[ "Apache-2.0" ]

null

from EVBUS import EVBUS from sklearn.datasets import load_boston import sklearn.model_selection as xval boston = load_boston() Y = boston.data[:, 12] X = boston.data[:, 0:12] bos_X_train, bos_X_test, bos_y_train, bos_y_test = xval.train_test_split(X, Y, test_size=0.3) evbus = EVBUS.varU(bos_X_train, bos_y_train, bos_...

26.357143

93

0.772358

68

369

3.882353

0.397059

0.060606

0.068182

0.090909

0

0.021472

0.116531

369

13

94

28.384615

0.788344

0

1

0

false

0

0.3

0

0.3

0.1

0

null

0

null

0

1

0

15f98430ae44305a9e31a13aeb782706e3a1fd29

2,141

py

Python

aws/olympic-api/olympic/app.py

kevinle-1/olympic-api

c341328eb9c4ce26fcd08199abf1fb996deebbbf

[ "MIT" ]

4

2021-07-29T06:29:33.000Z

2021-08-31T22:38:21.000Z

aws/olympic-api/olympic/app.py

kevinle-1/olympic-api

c341328eb9c4ce26fcd08199abf1fb996deebbbf

[ "MIT" ]

null

aws/olympic-api/olympic/app.py

kevinle-1/olympic-api

c341328eb9c4ce26fcd08199abf1fb996deebbbf

[ "MIT" ]

2

2021-07-25T08:51:52.000Z

2021-07-25T18:06:24.000Z

import json import requests from bs4 import BeautifulSoup PAGE_URL = 'https://olympics.com/tokyo-2020/olympic-games/en/results/all-sports/medal-standings.htm' def get_table(html=None): if not html: html = requests.get(PAGE_URL).content site = BeautifulSoup(html, 'html.parser') table = site.find('table', ...

30.15493

225

0.601588

250

2,141

5.076

0.432

0.061466

0.085106

0.039401

0.066194

0

0.015442

0.243811

2,141

70

226

30.585714

0.768376

0.026623

0

0.072727

0

0.036364

0.294712

0.135577

0

1

0.090909

false

0

0.054545

0

0.254545

0.018182

0

null

0

null

0

1

0

15fb00a29a6af7f533e2efe7c7832130560820ef

5,348

py

Python

crawlers/core/thread_types.py

nonemaw/YeTi

92a3ba89f5b7fd8b2d5d3f5929ade0bf0b9e5cbe

[ "MIT" ]

1

2017-10-04T12:21:20.000Z

crawlers/core/thread_types.py

nonemaw/YeTi

92a3ba89f5b7fd8b2d5d3f5929ade0bf0b9e5cbe

[ "MIT" ]

null

crawlers/core/thread_types.py

nonemaw/YeTi

92a3ba89f5b7fd8b2d5d3f5929ade0bf0b9e5cbe

[ "MIT" ]

null

import queue import json import logging import threading from crawlers.core.flags import FLAGS class BaseThread(threading.Thread): def __init__(self, name: str, worker, pool): threading.Thread.__init__(self, name=name) self._worker = worker # can be a Fetcher/Parser/Saver instance self...

35.184211

130

0.583209

665

5,348

4.454135

0.237594

0.050641

0.070898

0.032073

0.411884

0.341999

0.259284

0.229575

0.139095

0

0.003572

0.319559

5,348

151

131

35.417219

0.810387

0.227188

0

0.318182

0

0.011364

0.053785

0.034612

0

1

0.102273

false

0.011364

0.068182

0.011364

0.261364

0

null

0

null

0

1

0

15fb6a076074eb470434200bde6610f2e5b3ecae

1,848

py

Python

develop/tools/import-prep.py

Gautamverma66/pycon

1ca95727619dbbe82483227e0964402b433131ee

[ "BSD-3-Clause" ]

null

develop/tools/import-prep.py

Gautamverma66/pycon

1ca95727619dbbe82483227e0964402b433131ee

[ "BSD-3-Clause" ]

null

develop/tools/import-prep.py

Gautamverma66/pycon

1ca95727619dbbe82483227e0964402b433131ee

[ "BSD-3-Clause" ]

1

2020-09-30T18:09:16.000Z

#!/usr/bin/env python2.7 # # Take various CSV inputs and produce a read-to-import conference schedule. import pandas as pd from datetime import date def main(): dfs = [] t = pd.read_csv('talks.csv') t['kind_slug'] = 'talk' t['proposal_id'] = t.pop('proposal') t['day'] = date(2016, 5, 30) + pd.t...

28.875

75

0.566017

272

1,848

3.724265

0.3125

0.017769

0.062192

0.039487

0.395854

0.381046

0.329714

0

0.011371

0.191017

1,848

63

76

29.333333

0.666221

0.169372

0

0.277778

0

0.309758

0.018337

0

1

0.027778

false

0

0.055556

0

0.083333

0

null

0

null

0

1

0

15fdf4924a3b098bc325a7b35edf84b4ae175290

997

py

Python

utilities/resize_images.py

bmhopkinson/Marsh_Ann

7d1baaa444392622967dd1ed12f9c7a23c5fb018

[ "MIT" ]

null

utilities/resize_images.py

bmhopkinson/Marsh_Ann

7d1baaa444392622967dd1ed12f9c7a23c5fb018

[ "MIT" ]

null

utilities/resize_images.py

bmhopkinson/Marsh_Ann

7d1baaa444392622967dd1ed12f9c7a23c5fb018

[ "MIT" ]

null

import os import cv2 import numpy as np import re path_regex = re.compile('^.+?/(.*)') def resize_image(im, factor): row, col, chan = im.shape col_re = np.rint(col*factor).astype(int) row_re = np.rint(row*factor).astype(int) im = cv2.resize(im, (col_re, row_re)) #resize patch return im imdir = ...

27.694444

64

0.636911

148

997

4.121622

0.432432

0.04918

0

0.023438

0.229689

997

35

65

28.485714

0.770833

0.012036

0

0.077236

0.036585

0

1

0.035714

false

0

0.142857

0

0.214286

0.035714

0

null

0

null

0

1

0

15fe4d22550f5d656a8766cbb160d9cad971c027

5,133

py

Python

load.py

OdysseyScorpio/FactionGist

a3af4b52557890cb9c2cad20a740545917db7ec4

[ "MIT" ]

3

2019-10-17T08:28:55.000Z

2020-06-02T15:43:32.000Z

load.py

OdysseyScorpio/FactionGist

a3af4b52557890cb9c2cad20a740545917db7ec4

[ "MIT" ]

11

2019-10-17T08:32:09.000Z

2019-10-21T07:14:13.000Z

load.py

OdysseyScorpio/FactionGist

a3af4b52557890cb9c2cad20a740545917db7ec4

[ "MIT" ]

3

2019-10-17T08:33:51.000Z

2021-07-05T18:05:38.000Z

import sys import os import ttk import Tkinter as tk import tkMessageBox from ttkHyperlinkLabel import HyperlinkLabel from config import applongname, appversion import myNotebook as nb import json import requests import zlib import re import webbrowser this = sys.modules[__name__] this.apiURL = "http://factiongist.her...

36.147887

130

0.653029

607

5,133

5.413509

0.352554

0.018259

0.024346

0.028911

0.258065

0.21759

0.176506

0.165855

0

0.0091

0.229301

5,133

141

131

36.404255

0.821537

0.008767

0

0.142857

0

0.181943

0.007671

0

1

0.07563

false

0

0.109244

0

0.210084

0

null

0

null

0

1

0

15ff229d57bd444a73d08386dd948e890ca375a0

12,542

py

Python

hexa/plugins/connector_s3/models.py

qgerome/openhexa-app

8c9377b2ad972121d8e9575f5d52420212b52ed4

[ "MIT" ]

4

2021-07-19T12:53:21.000Z

2022-01-26T17:45:02.000Z

hexa/plugins/connector_s3/models.py

qgerome/openhexa-app

8c9377b2ad972121d8e9575f5d52420212b52ed4

[ "MIT" ]

20

2021-05-17T12:27:06.000Z

2022-03-30T11:35:26.000Z

hexa/plugins/connector_s3/models.py

qgerome/openhexa-app

8c9377b2ad972121d8e9575f5d52420212b52ed4

[ "MIT" ]

2

2021-09-07T04:19:59.000Z

2022-02-08T15:33:29.000Z

import os from logging import getLogger from django.core.exceptions import ValidationError from django.db import models, transaction from django.template.defaultfilters import filesizeformat, pluralize from django.urls import reverse from django.utils import timezone from django.utils.translation import gettext_lazy a...

32.492228

112

0.603253

1,391

12,542

5.265996

0.196262

0.020478

0.022116

0.029488

0.264164

0.22116

0.199317

0.148805

0.102116

0.089829

0

0.007787

0.303779

12,542

385

113

32.576623

0.831081

0.060676

0

0.2443

0

0.062048

0.010639

0

0.002597

0

1

0.104235

false

0

0.045603

0.384365

0

null

0

null

0

1

0

c60143a70f259a4e959098d87fdd7674fa7e33dc

1,618

py

Python

vi/vi/csp/backtrack_search.py

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

vi/vi/csp/backtrack_search.py

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

vi/vi/csp/backtrack_search.py

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

import vi.csp import collections import operator BacktrackStatistics = collections.namedtuple( 'BacktrackStatistics', ['calls', 'failures']) def backtrack_search(network): statistics = BacktrackStatistics(calls=0, failures=0) # Ensure arc consistency before making any assumptions: return backtrack(vi...

32.36

77

0.644623

158

1,618

6.512658

0.329114

0.066084

0.029155

0.101069

0.050535

0

0.007614

0.269468

1,618

49

78

33.020408

0.862944

0.057478

0

0.021025

0

1

0.121212

false

0

0.090909

0.060606

0.393939

0

null

0

null

0

1

0

c601aedeadeb98d2c741f809b0374722d418f823

1,377

py

Python

k_means.py

lgq9220/easy12306

e31abd1c7675e2acb37f4653ab88cae49d2317cc

[ "Artistic-2.0" ]

null

k_means.py

lgq9220/easy12306

e31abd1c7675e2acb37f4653ab88cae49d2317cc

[ "Artistic-2.0" ]

null

k_means.py

lgq9220/easy12306

e31abd1c7675e2acb37f4653ab88cae49d2317cc

[ "Artistic-2.0" ]

null

#! env python # coding: utf-8 # 功能：对文字部分使用k-means算法进行聚类 import os import time import sys import cv2 from sklearn.cluster import KMeans from sklearn.decomposition import PCA from sklearn.externals import joblib def get_img_as_vector(fn): im = cv2.imread(fn) im = im[:, :, 0] retval, dst = cv2.threshold(im,...

27.54

71

0.647785

205

1,377

4.204878

0.473171

0.058005

0.087007

0.032483

0.064965

0

0.023466

0.195352

1,377

49

72

28.102041

0.754513

0.052288

0

0.054054

0

0.115562

0

1

0.054054

false

0

0.189189

0

0.27027

0.243243

0

null

0

null

0

1

0

c60244641d848895dbb47d903f04c522a8e5355d

14,735

py

Python

datasets/blender_efficient_sm.py

ktiwary2/nerf_pl

99d40cba3a2d9a11d6988cb1a74cf29035a1ab5e

[ "MIT" ]

null

datasets/blender_efficient_sm.py

ktiwary2/nerf_pl

99d40cba3a2d9a11d6988cb1a74cf29035a1ab5e

[ "MIT" ]

null

datasets/blender_efficient_sm.py

ktiwary2/nerf_pl

99d40cba3a2d9a11d6988cb1a74cf29035a1ab5e

[ "MIT" ]

null

import torch from torch.utils.data import Dataset import json import numpy as np import os from PIL import Image, ImageFilter from torchvision import transforms as T from models.camera import Camera from tqdm import tqdm from .ray_utils import * class BlenderEfficientShadows(Dataset): def __init__(self, root_dir,...

44.651515

120

0.498812

1,852

14,735

3.805076

0.13067

0.048673

0.024975

0.018731

0.561799

0.490563

0.467149

0.438059

0.409394

0.406556

0

0.021092

0.350051

14,735

330

121

44.651515

0.714733

0.19905

0

0.382075

0

0.009434

0.100252

0.023977

0

0.004717

1

0.023585

false

0

0.04717

0

0.09434

0.080189

0

null

0

null

0

1

0

c60337a0cc834ad033d09738b410868a1fcb6ef6

625

py

Python

python_submission/5.longest-palindromic-substring.197920566.notac.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python_submission/5.longest-palindromic-substring.197920566.notac.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python_submission/5.longest-palindromic-substring.197920566.notac.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

class Solution(object): def longestPalindrome(self, s): """ :type s: str :rtype: str """ if len(s) == 1: return s start = 0 end = len(s) maxlength = 0 longest = "" while(start < len(s)): substring = s[start:end] ...

26.041667

75

0.4192

60

625

4.366667

0.383333

0.061069

0.053435

0

0.018293

0.4752

625

23

76

27.173913

0.780488

0.0384

0

0.105263

0

1

0.052632

false

0

0.210526

0

null

0

null

0

1

0

c6074a650ad47398b9b59002465392e2c249c2e3

14,325

py

Python

data-preprocess/ice-vision-data-merger-pipeline.py

jingwoo4710/mmdetection-icevision

da82741b29fdd1eb77b4e7483ff2a515d43d1760

[ "Apache-2.0" ]

4

2020-03-13T00:12:44.000Z

2021-06-25T07:54:17.000Z

data-preprocess/ice-vision-data-merger-pipeline.py

jingwoo4710/mmdetection-icevision

da82741b29fdd1eb77b4e7483ff2a515d43d1760

[ "Apache-2.0" ]

4

2020-03-13T00:24:15.000Z

2022-03-12T00:19:03.000Z

data-preprocess/ice-vision-data-merger-pipeline.py

jingwoo4710/mmdetection-icevision

da82741b29fdd1eb77b4e7483ff2a515d43d1760

[ "Apache-2.0" ]

1

2021-03-07T06:24:08.000Z

#!/usr/bin/env python # coding: utf-8 # In[93]: import os from shutil import copyfile import json print("cwd = ", os.getcwd()) current_folder = os.getcwd() #extracted_train_data = os.path.join(current_folder, "extracted_train_data") extracted_train_data = "/dataset/training/" #annotations_dir = '/data/annotations'...

35.02445

194

0.585829

1,859

14,325

4.243141

0.152232

0.031947

0.021552

0.016227

0.36676

0.29285

0.240365

0.208418

0.204868

0.177485

0

0.031364

0.269948

14,325

408

195

35.110294

0.722892

0.281396

0

0.207921

0

0.117788

0.064564

0

1

0.004951

false

0

0.069307

0

0.074257

0.084158

0

null

0

null

0

1

0

c609dcc818d4247b3e931541707e6e65fd9fc433

1,683

py

Python

osu/graph_metadata.py

brandondong/osu-beatmap-generator

7ca14793ef6a48a65cfd1a564f3b24d940a6051a

[ "MIT" ]

null

osu/graph_metadata.py

brandondong/osu-beatmap-generator

7ca14793ef6a48a65cfd1a564f3b24d940a6051a

[ "MIT" ]

1

2021-06-01T23:50:59.000Z

osu/graph_metadata.py

brandondong/osu-beatmap-generator

7ca14793ef6a48a65cfd1a564f3b24d940a6051a

[ "MIT" ]

null

import os import matplotlib.pyplot as plt import numpy as np from models import models_util DIFFICULTY_LABEL = "Star Difficulty" BPM_LABEL = "BPM" LENGTH_LABEL = "Length" CS_LABEL = "Circle Size" DRAIN_LABEL = "HP Drain" ACCURACY_LABEL = "Accuracy" AR_LABEL = "Approach Rate" SAVE_FOLDER = "visualization/" def prin...

28.525424

103

0.734403

263

1,683

4.494297

0.387833

0.043993

0.064298

0.084602

0.07868

0

0.005431

0.124777

1,683

59

104

28.525424

0.797013

0.115865

0

0.160269

0.024242

0

1

0.022727

false

0

0.090909

0

0.113636

0.227273

0

null

0

null

0

1

0

c60bdc534000a18e4fc655a5cff50a94af3d4302

2,077

py

Python

ADE/train.py

BinahHu/ADE-Longtail

4aabf1cbf50746e610b91362c40cbcb7884dd170

[ "Apache-2.0" ]

null

ADE/train.py

BinahHu/ADE-Longtail

4aabf1cbf50746e610b91362c40cbcb7884dd170

[ "Apache-2.0" ]

null

ADE/train.py

BinahHu/ADE-Longtail

4aabf1cbf50746e610b91362c40cbcb7884dd170

[ "Apache-2.0" ]

null

# import some common libraries # import some common detectron2 utilities from detectron2.config import get_cfg from detectron2.data import ( build_detection_test_loader, build_detection_train_loader, ) from detectron2.engine import default_argument_parser, default_setup, launch, DefaultTrainer # import ADE ...

26.628205

107

0.703418

269

2,077

5.159851

0.390335

0.040346

0.041066

0.054035

0

0.003081

0.218585

2,077

77

108

26.974026

0.852126

0.168031

0

0.01603

0

1

0.083333

false

0

0.1875

0

0.354167

0.020833

0

null

0

null

0

1

0

c60dde17e3e2f4dd2320cb3a7f244103bed46b66

2,411

py

Python

src/messages.py

Colk-tech/gcpdiscord

b2a43dca8db5a17e6e72f36c7e895db19b836067

[ "MIT" ]

4

2020-12-31T09:41:09.000Z

2022-02-20T14:13:41.000Z

src/messages.py

Colk-tech/gcpdiscord

b2a43dca8db5a17e6e72f36c7e895db19b836067

[ "MIT" ]

3

2020-12-28T18:19:44.000Z

2021-01-03T14:51:59.000Z

src/messages.py

Colk-tech/gcpdiscord

b2a43dca8db5a17e6e72f36c7e895db19b836067

[ "MIT" ]

2

2020-12-31T05:42:57.000Z

2022-03-24T07:54:25.000Z

PERMISSION_DENIED_MESSAGE: str = "***PERMISSION DENIED!*** \n" \ "You are not permitted to use this command. \n" \ "Please contact to your server master. \n." ERROR_OCCURRED_MESSAGE: str = "***ERROR OCCURRED!*** \n" \ "Error has occu...

70.911765

109

0.517628

256

2,411

4.792969

0.34375

0.061125

0.05868

0.03423

0.193969

0.145069

0.112469

0.06357

0

0.004172

0.403567

2,411

33

110

73.060606

0.849096

0

0.542099

0

1

0

false

0

null

0

null

0

1

0

c60e59d24506527b02637849c4f5442ee5efa5c7

4,035

py

Python

util/SR2SC.py

lorteddie/dcmqi

4f668745f4f8b2a67e6dcfdee187ac7793e07116

[ "BSD-3-Clause" ]

null

util/SR2SC.py

lorteddie/dcmqi

4f668745f4f8b2a67e6dcfdee187ac7793e07116

[ "BSD-3-Clause" ]

null

util/SR2SC.py

lorteddie/dcmqi

4f668745f4f8b2a67e6dcfdee187ac7793e07116

[ "BSD-3-Clause" ]

null

from pydicom.sr import _snomed_dict import os import re import pydicom.sr._snomed_dict folder = "E:\\work\\QIICR\\dcmqi" Out_Folder = "E:\\work\\QIICR\\renamed_dcmqi" def recursive_file_find(address, regexp): filelist = os.listdir(address) approvedlist=[] for filename in filelist: fullpath = os.p...

32.28

95

0.603965

512

4,035

4.576172

0.242188

0.058045

0.023047

0.03201

0.172002

0.113103

0.065301

0

0.006061

0.223048

4,035

124

96

32.540323

0.741308

0.033953

0

0.108911

0

0.092683

0.031836

0

1

0.069307

false

0

0.039604

0

0.168317

0.069307

0

null

0

null

0

1

0

c60ef77ba35cbe6b2d5368873bee63645c0514b7

9,417

py

Python

disentanglement_lib/visualize/visualize_util.py

erow/disentanglement_lib

c875207fdeadc44880277542447544941bc0bd0a

[ "Apache-2.0" ]

null

disentanglement_lib/visualize/visualize_util.py

erow/disentanglement_lib

c875207fdeadc44880277542447544941bc0bd0a

[ "Apache-2.0" ]

null

disentanglement_lib/visualize/visualize_util.py

erow/disentanglement_lib

c875207fdeadc44880277542447544941bc0bd0a

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2018 The DisentanglementLib Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Un...

34.119565

84

0.653818

1,387

9,417

4.284066

0.240808

0.018176

0.015315

0.014137

0.143554

0.106698

0.099461

0.07001

0.056547

0

0.021859

0.232452

9,417

275

85

34.243636

0.800221

0.207922

0

0.063584

0

0.012598

0.003149

0

0.00578

1

0.109827

false

0

0.075145

0.00578

0.289017

0.011561

0

null

0

null

0

1

0

c60efc48bff6adf1e39c4b9e35874cde0aa11abd

6,515

py

Python

Lab/Lab5/lab5_group12_server.py

Zhuoyue-Xing/IOT---INTELLIG-CONNECTED-SYS

09111380e5ad36663e90de5bcd22691619c9a2f1

[ "Apache-2.0" ]

1

2020-03-04T21:51:42.000Z

Lab/Lab5/lab5_group12_server.py

Zhuoyue-Xing/IOT---INTELLIG-CONNECTED-SYS

09111380e5ad36663e90de5bcd22691619c9a2f1

[ "Apache-2.0" ]

null

Lab/Lab5/lab5_group12_server.py

Zhuoyue-Xing/IOT---INTELLIG-CONNECTED-SYS

09111380e5ad36663e90de5bcd22691619c9a2f1

[ "Apache-2.0" ]

null

# Created by Chenye Yang, Haokai Zhao, Zhuoyue Xing on 2019/10/13. # Copyright © 2019 Chenye Yang, Haokai Zhao, Zhuoyue Xing . All rights reserved. from machine import Pin, I2C, RTC, Timer import socket import ssd1306 import time import network import urequests import json # ESP8266 connects to a router def ConnectWIF...

35.601093

132

0.701765

1,024

6,515

4.383789

0.282227

0.021386

0.032078

0.018935

0.214079

0.203386

0.175763

0.160615

0.145912

0.129873

0

0.039351

0.176976

6,515

183

133

35.601093

0.79765

0.407982

0

0.31746

0

0.208344

0.005809

0.015873

0

1

0.055556

false

0.007937

0.063492

0

0.119048

0.079365

0

null

0

null

0

1

0

c60fff305331c5af7ece82691a51268226e5c661

453

py

Python

cord19/scripts/metadata/prefixes.py

udel-cbcb/covid19kg_rdf

3cd8dd6c4654333777db6127f2a3f2e01b92b0ac

[ "CC-BY-4.0" ]

null

cord19/scripts/metadata/prefixes.py

udel-cbcb/covid19kg_rdf

3cd8dd6c4654333777db6127f2a3f2e01b92b0ac

[ "CC-BY-4.0" ]

null

cord19/scripts/metadata/prefixes.py

udel-cbcb/covid19kg_rdf

3cd8dd6c4654333777db6127f2a3f2e01b92b0ac

[ "CC-BY-4.0" ]

null

from rdflib import Namespace, XSD from rdflib.namespace import DC, DCTERMS FHIRCAT_CORD = Namespace("http://fhircat.org/cord-19/") SSO = Namespace("http://semanticscholar.org/cv-research/") DOI = Namespace("https://doi.org/") PUBMED = Namespace("https://www.ncbi.nlm.nih.gov/pubmed/") PMC = Namespace("https://www.ncbi....

45.3

64

0.735099

64

453

5.171875

0.515625

0.169184

0.102719

0.126888

0.181269

0

0.007109

0.068433

453

10

65

45.3

0.777251

0

0.477974

0

1

0

false

0

0.222222

0

0.222222

0

null

0

null

0

1

0

c6111b7e68c98d9dc89d8452745da9d3fb412b2a

6,568

py

Python

pbutils/argparsers.py

phonybone/phonybone_utils

d95f226ddfc62a1d69b5ff6f53de86188fe0c8f9

[ "MIT" ]

null

pbutils/argparsers.py

phonybone/phonybone_utils

d95f226ddfc62a1d69b5ff6f53de86188fe0c8f9

[ "MIT" ]

null

pbutils/argparsers.py

phonybone/phonybone_utils

d95f226ddfc62a1d69b5ff6f53de86188fe0c8f9

[ "MIT" ]

null

import sys import os import argparse from types import MethodType from importlib import import_module from argparse import RawTextHelpFormatter # Note: this applies to all options, might not always be what we want... from pbutils.configs import get_config, get_config_from_data, to_dict, inject_opts, CP from .strings ...

34.568421

115

0.622259

828

6,568

4.786232

0.300725

0.041635

0.060056

0.028766

0.079233

0.054504

0.038355

0.023719

0

0.00185

0.25944

6,568

189

116

34.751323

0.812911

0.25609

0

0.149123

0

0.124526

0.005057

0

1

0.078947

false

0.008772

0.105263

0

0.254386

0.026316

0

null

0

null

0

1

0

c612683f9e5f1b8a554762571a5c3752edd3f4c6

513

py

Python

api/management/commands/user_stats.py

kopf/zzzz

eeaebc24c7c2c290e167dcf1a74c18586a3a75a7

[ "BSD-3-Clause" ]

10

2019-04-16T18:08:55.000Z

2022-03-17T21:30:47.000Z

api/management/commands/user_stats.py

kopf/zzzz

eeaebc24c7c2c290e167dcf1a74c18586a3a75a7

[ "BSD-3-Clause" ]

3

2019-04-16T18:26:41.000Z

2021-06-10T21:22:13.000Z

api/management/commands/user_stats.py

kopf/zzzz

eeaebc24c7c2c290e167dcf1a74c18586a3a75a7

[ "BSD-3-Clause" ]

1

2021-05-23T07:10:04.000Z

#!/usr/bin/env python3 import json from django.core.management.base import BaseCommand from api.models import User class Command(BaseCommand): help = 'Print a dict of user status (number of users signed up per day) to stdout' def handle(self, *args, **options): stats = {} for user in User.o...

27

86

0.639376

73

513

4.438356

0.739726

0.064815

0

0.010309

0.243665

513

18

87

28.5

0.824742

0.040936

0

0.164969

0

1

0.083333

false

0

0.25

0

0.5

0.083333

0

null

0

null

0

1

0