xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

602c434e389c4b23bc2fc0d5a4e7eeadc1450576

2,125

py

Python

novahyper/virt/hyper/errors.py

hyperhq/hypernova

a68a217628a3191b7413e447d2d8b81bebf4f010

[ "Apache-2.0" ]

7

2016-04-13T13:50:37.000Z

2020-09-27T13:15:43.000Z

novahyper/virt/hyper/errors.py

hyperhq/hypernova

a68a217628a3191b7413e447d2d8b81bebf4f010

[ "Apache-2.0" ]

null

novahyper/virt/hyper/errors.py

hyperhq/hypernova

a68a217628a3191b7413e447d2d8b81bebf4f010

[ "Apache-2.0" ]

3

2016-07-21T10:31:57.000Z

2019-04-28T09:53:17.000Z

# Copyright 2015 HyperHQ Inc. # Copyright 2014 dotCloud inc. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...

27.24359

77

0.678118

256

2,125

5.519531

0.4375

0.059448

0.050955

0.062279

0.073602

0

0.020949

0.236235

2,125

77

78

27.597403

0.849661

0.323294

0

0.243243

0

0.03735

0

1

0.108108

false

0.189189

0.027027

0.054054

0.432432

0

null

0

null

0

1

0

1

6030653195e25ab1270a0a18561210e677a735d9

2,947

py

Python

utils/openshift_acme.py

bsquizz/qontract-reconcile

39cecc4a3ca601931a9c37639d5e03f87b9d4266

[ "Apache-2.0" ]

null

utils/openshift_acme.py

bsquizz/qontract-reconcile

39cecc4a3ca601931a9c37639d5e03f87b9d4266

[ "Apache-2.0" ]

null

utils/openshift_acme.py

bsquizz/qontract-reconcile

39cecc4a3ca601931a9c37639d5e03f87b9d4266

[ "Apache-2.0" ]

null

ACME_DEPLOYMENT = """ apiVersion: extensions/v1beta1 kind: Deployment metadata: name: %(deployment_name)s labels: app: openshift-acme spec: progressDeadlineSeconds: 600 replicas: 1 revisionHistoryLimit: 10 selector: matchLabels: app: openshift-acme strategy: type: Recreate template: ...

19.136364

65

0.604004

267

2,947

6.569288

0.438202

0.074116

0.04561

0.050171

0.251425

0.165336

0.078677

0.055872

0

0.015686

0.307771

2,947

153

66

19.261438

0.844118

0

0.503401

0

0.965389

0.114014

0

1

0

false

0

null

0

1

0

null

0

1

60333de63eccbe558479b8d7eb24af5960c860c8

5,037

py

Python

lib/tool_shed/test/functional/test_1460_data_managers.py

quacksawbones/galaxy-1

65f7259b29d3886e526d9be670c60d9da9fbe038

[ "CC-BY-3.0" ]

1,085

2015-02-18T16:14:38.000Z

2022-03-30T23:52:07.000Z

lib/tool_shed/test/functional/test_1460_data_managers.py

quacksawbones/galaxy-1

65f7259b29d3886e526d9be670c60d9da9fbe038

[ "CC-BY-3.0" ]

11,253

2015-02-18T17:47:32.000Z

2022-03-31T21:47:03.000Z

lib/tool_shed/test/functional/test_1460_data_managers.py

quacksawbones/galaxy-1

65f7259b29d3886e526d9be670c60d9da9fbe038

[ "CC-BY-3.0" ]

1,000

2015-02-18T16:18:10.000Z

2022-03-29T08:22:56.000Z

import logging from ..base.twilltestcase import common, ShedTwillTestCase log = logging.getLogger(__name__) category_name = 'Test 1460 Data Manager' category_description = 'Test script 1460 for testing Data Managers' data_manager_repository_name = 'data_manager_1460' data_manager_repository_description = 'Repository...

54.16129

132

0.701608

631

5,037

5.207607

0.207607

0.140596

0.08947

0.034084

0.340231

0.258673

0.184114

0.175898

0.095557

0

0.019281

0.238039

5,037

92

133

54.75

0.836894

0.1487

0

0.146573

0.055664

0

0.01087

0.053571

1

0.089286

false

0

0.035714

0

0.142857

0

null

0

null

0

1

0

1

60340f6098e5c475ad7822e33056e15a614c980a

3,812

py

Python

berkeley/quanto/tools/quanto/scripts/read_log_staged.py

tinyos-io/tinyos-3.x-contrib

3aaf036722a2afc0c0aad588459a5c3e00bd3c01

[ "BSD-3-Clause", "MIT" ]

1

2020-02-28T20:35:09.000Z

berkeley/quanto/tools/quanto/scripts/read_log_staged.py

tinyos-io/tinyos-3.x-contrib

3aaf036722a2afc0c0aad588459a5c3e00bd3c01

[ "BSD-3-Clause", "MIT" ]

null

berkeley/quanto/tools/quanto/scripts/read_log_staged.py

tinyos-io/tinyos-3.x-contrib

3aaf036722a2afc0c0aad588459a5c3e00bd3c01

[ "BSD-3-Clause", "MIT" ]

null

#!/usr/bin/python # Script to parse the version of the logs that has powerstate # changes as well. Output format is: # <type> <subtype> <resource> time: <time> icount: <icount> arg:|ctx: <arg|ctx> import sys import os #Hack to insert the invocation dir first. This way we can use the # local QuantAppConstants file if...

31.504132

92

0.637461

480

3,812

4.964583

0.379167

0.033571

0.083928

0.097356

0.146874

0.131767

0.099874

0.064624

0

0.014726

0.233998

3,812

120

93

31.766667

0.80137

0.188353

0

0.048193

0

0.061098

0.015275

0

0.0026

0

null

0

0.084337

null

0.084337

0

null

0

null

0

1

0

1

603e71d3dc9eec8143bce957fd1c71ff04d19a14

1,722

py

Python

app/test_unittest_api.py

soumilshah1995/FlaskRestful-Swagger-UI-Docker-Compose-Unit-Test-How-to-organize-Python-Code-for-REST-API

07b455378020476cb6e79e889fa6efb7364848c0

[ "Apache-2.0" ]

1

2021-10-05T01:25:41.000Z

app/test_unittest_api.py

soumilshah1995/FlaskRestful-Swagger-UI-Docker-Compose-Unit-Test-How-to-organize-Python-Code-for-REST-API

07b455378020476cb6e79e889fa6efb7364848c0

[ "Apache-2.0" ]

null

app/test_unittest_api.py

soumilshah1995/FlaskRestful-Swagger-UI-Docker-Compose-Unit-Test-How-to-organize-Python-Code-for-REST-API

07b455378020476cb6e79e889fa6efb7364848c0

[ "Apache-2.0" ]

3

2021-10-05T01:25:46.000Z

2021-10-05T22:05:05.000Z

try: import os import unittest import app import json from API import app from dotenv import load_dotenv import os import subprocess print("test file ok...........") except Exception as e: print(e) class FlaskTestCase(unittest.TestCase): @classmethod def setUpClass(cls...

23.27027

69

0.594657

204

1,722

4.906863

0.372549

0.04995

0.03996

0.071928

0.336663

0.236763

0.207792

0.15984

0

0.01011

0.310685

1,722

73

70

23.589041

0.833193

0.198606

0

0.395349

0

0.081413

0

0.046512

1

0.162791

false

0.069767

0.209302

0

0.395349

0.139535

0

null

0

null

0

1

0

1

6048508f77d19b613c6196fbf502ffc35e80bfe6

4,068

py

Python

tests/test_cli.py

frostidaho/python-isna

4f65ee626550caf55f3ad5ce23fac1e49d363178

[ "BSD-2-Clause" ]

null

tests/test_cli.py

frostidaho/python-isna

4f65ee626550caf55f3ad5ce23fac1e49d363178

[ "BSD-2-Clause" ]

null

tests/test_cli.py

frostidaho/python-isna

4f65ee626550caf55f3ad5ce23fac1e49d363178

[ "BSD-2-Clause" ]

null

import unittest import os from schema import SchemaError import isna.cli as cli import isna.cli2 as cli2 from isna.config import cfg from docopt import docopt class TestValidate(unittest.TestCase): @classmethod def setUpClass(cls): def getargs(argv): return docopt(cli2.__doc__, argv=argv)...

31.78125

75

0.616273

504

4,068

4.85119

0.198413

0.037219

0.042536

0.027812

0.349284

0.276074

0.1182

0.100614

0.0818

0

0.012842

0.253441

4,068

127

76

32.031496

0.792229

0.009341

0

0.196078

0

0.107249

0.018123

0

0.303922

1

0.205882

false

0

0.068627

0.019608

0.323529

0

null

0

null

0

1

0

1

604df981a34a4fd55283c3137f782fdc507af0fd

10,754

py

Python

darling_ansible/python_venv/lib/python3.7/site-packages/oci/healthchecks/models/ping_probe.py

revnav/sandbox

f9c8422233d093b76821686b6c249417502cf61d

[ "Apache-2.0" ]

null

darling_ansible/python_venv/lib/python3.7/site-packages/oci/healthchecks/models/ping_probe.py

revnav/sandbox

f9c8422233d093b76821686b6c249417502cf61d

[ "Apache-2.0" ]

null

darling_ansible/python_venv/lib/python3.7/site-packages/oci/healthchecks/models/ping_probe.py

revnav/sandbox

f9c8422233d093b76821686b6c249417502cf61d

[ "Apache-2.0" ]

1

2020-06-25T03:12:58.000Z

# coding: utf-8 # Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c...

29.382514

245

0.616608

1,338

10,754

4.778774

0.139761

0.047857

0.117297

0.056459

0.608852

0.48655

0.406944

0.319987

0.297466

0

0.00567

0.311233

10,754

365

246

29.463014

0.857567

0.520458

0

0.089286

0

0.100413

0

1

0.214286

false

0

0.017857

0.383929

0

null

0

null

0

1

0

1

605be762ee0d2a89875af7ec468ccb0c519fb409

1,552

py

Python

Day3/main.py

d4yvie/advent_of_code_2021

bb74b9dc7b23c5ba338dcd8d2e698c7ea4e34c59

[ "Apache-2.0" ]

null

Day3/main.py

d4yvie/advent_of_code_2021

bb74b9dc7b23c5ba338dcd8d2e698c7ea4e34c59

[ "Apache-2.0" ]

null

Day3/main.py

d4yvie/advent_of_code_2021

bb74b9dc7b23c5ba338dcd8d2e698c7ea4e34c59

[ "Apache-2.0" ]

null

from file_util import read_lines from print_aoc import finish_task1, finish_task2 from typing import Callable def count_amount_of_ones(nums: list[str] | set[str], number_len=12) -> list[int]: return [sum(num[i] == "1" for num in nums) for i in range(number_len)] def task1(lines: list[str], number_len=12) -> int...

36.952381

111

0.690077

237

1,552

4.189873

0.248945

0.135952

0.084592

0.05136

0.151057

0.110775

0

0.031822

0.190077

1,552

41

112

37.853659

0.758154

0

0.005799

0

1

0.172414

false

0

0.103448

0.448276

0.034483

0

null

0

null

0

1

0

1

605d8b407310d45e9a0aeb9513c77b684849a9ee

8,291

py

Python

backend/dbTransformer/api_dbTransformer/views.py

ayaniitgoa/database-project

c47b8b211fa2e5e3533443dd44ac8ddfb35b69fe

[ "MIT" ]

null

backend/dbTransformer/api_dbTransformer/views.py

ayaniitgoa/database-project

c47b8b211fa2e5e3533443dd44ac8ddfb35b69fe

[ "MIT" ]

null

backend/dbTransformer/api_dbTransformer/views.py

ayaniitgoa/database-project

c47b8b211fa2e5e3533443dd44ac8ddfb35b69fe

[ "MIT" ]

null

from django.shortcuts import render from rest_framework.response import Response from rest_framework.decorators import api_view import csv import mysql.connector count = 0 fileData = [] @api_view(['GET', 'POST']) def preProcessCSV(request): if request.method == 'POST': for file in request.FILES.values()...

30.149091

217

0.538053

793

8,291

5.546028

0.166456

0.032515

0.015007

0.015916

0.388131

0.310823

0.268304

0.254206

0.206457

0

0.010202

0.337957

8,291

274

218

30.259124

0.791037

0.088771

0

0.402367

0

0.005917

0.126895

0.025007

0

1

0.029586

false

0.053254

0.029586

0

0.130178

0.029586

0

null

0

null

0

1

0

1

6063cc046ba7a22f7a5eaad35715106df8b09a55

1,425

py

Python

content-security-policy/embedded-enforcement/support/echo-required-csp.py

Ms2ger/web-platform-tests

645c0e8a5c028a613e7ad1732834100dbe946fc7

[ "BSD-3-Clause" ]

1

2022-03-19T09:43:35.000Z

content-security-policy/embedded-enforcement/support/echo-required-csp.py

Ms2ger/web-platform-tests

645c0e8a5c028a613e7ad1732834100dbe946fc7

[ "BSD-3-Clause" ]

14

2019-03-18T20:11:48.000Z

2019-04-23T22:41:46.000Z

content-security-policy/embedded-enforcement/support/echo-required-csp.py

Ms2ger/web-platform-tests

645c0e8a5c028a613e7ad1732834100dbe946fc7

[ "BSD-3-Clause" ]

2

2020-09-16T18:33:41.000Z

2021-11-09T14:27:38.000Z

import json def main(request, response): message = {} header = request.headers.get("Test-Header-Injection"); message['test_header_injection'] = header if header else None header = request.headers.get("Sec-Required-CSP"); message['required_csp'] = header if header else None second_level_iframe...

31.666667

100

0.607018

163

1,425

5.141104

0.349693

0.105012

0.162291

0.100239

0.391408

0.264916

0.193317

0

0.00991

0.221053

1,425

44

101

32.386364

0.745045

0

0.205128

0

0.591579

0.285614

0

null

0

0.025641

null

0

null

0

null

0

1

0

1

60645ff1abb744cc1e01b9f14169baf84aecaf9e

387

py

Python

test-script.py

jackfirth/sqlalchemy-fp

d095f644431ebaa3c698e3aa37e28189d4772772

[ "MIT" ]

null

test-script.py

jackfirth/sqlalchemy-fp

d095f644431ebaa3c698e3aa37e28189d4772772

[ "MIT" ]

null

test-script.py

jackfirth/sqlalchemy-fp

d095f644431ebaa3c698e3aa37e28189d4772772

[ "MIT" ]

null

from sqlalchemy_fp import setup_reflective_engine from os import environ from time import sleep sleep(5) connstring = "postgresql://{0}:{1}@db".format( environ["DB_USER"], environ["DB_PASSWORD"] ) classname_tablename_dict = { "User": "users" } models, with_session = setup_reflective_engine( classnam...

17.590909

49

0.731266

48

387

5.645833

0.604167

0.110701

0.154982

0

0.009174

0.155039

387

21

50

18.428571

0.819572

0

0.139535

0.059432

0

0.0625

1

0

false

0.0625

0.1875

0

0.1875

0

null

0

null

0

1

0

1

606d9976b504a6a747e48e5adf97457bda673dd4

1,672

py

Python

app/display_modules/methyls/tests/test_module.py

MetaGenScope/metagenscope-server

609cd57c626c857c8efde8237a1f22f4d1e6065d

[ "MIT" ]

null

app/display_modules/methyls/tests/test_module.py

MetaGenScope/metagenscope-server

609cd57c626c857c8efde8237a1f22f4d1e6065d

[ "MIT" ]

null

app/display_modules/methyls/tests/test_module.py

MetaGenScope/metagenscope-server

609cd57c626c857c8efde8237a1f22f4d1e6065d

[ "MIT" ]

null

"""Test suite for Methyls diplay module.""" from app.display_modules.display_module_base_test import BaseDisplayModuleTest from app.display_modules.methyls import MethylsDisplayModule from app.samples.sample_models import Sample from app.display_modules.methyls import MethylResult from app.display_modules.methyls.tests...

42.871795

80

0.703947

188

1,672

6.010638

0.367021

0.043363

0.061947

0.09292

0.139823

0.115044

0

0.001514

0.209928

1,672

38

81

44

0.853899

0.172847

0

0.061391

0

1

0.16

false

0

0.28

0

0.52

0

null

0

null

0

1

0

1

606e939157bcb272ec3f35a3438875b605da1a16

376

py

Python

config/Blender/2.79/scripts/presets/render/my-obs-for-yt.py

ipatch/dotfiles

b56297887721f9dd034fd720f57e6ace9c7d8679

[ "MIT" ]

62

2017-01-22T23:50:05.000Z

2022-02-12T12:11:21.000Z

config/Blender/2.79/scripts/presets/render/my-obs-for-yt.py

ipatch/dotfiles

b56297887721f9dd034fd720f57e6ace9c7d8679

[ "MIT" ]

null

config/Blender/2.79/scripts/presets/render/my-obs-for-yt.py

ipatch/dotfiles

b56297887721f9dd034fd720f57e6ace9c7d8679

[ "MIT" ]

6

2017-12-27T03:32:21.000Z

2021-11-25T08:33:04.000Z

import bpy scene = bpy.context.scene scene.render.field_order = 'EVEN_FIRST' scene.render.fps = 5733 scene.render.fps_base = 191.0 scene.render.pixel_aspect_x = 1.0 scene.render.pixel_aspect_y = 1.0 scene.render.resolution_percentage = 100 scene.render.resolution_x = 1728 scene.render.resolution_y = 1072 scene.render....

26.857143

40

0.803191

62

376

4.66129

0.467742

0.380623

0.124567

0.117647

0.15917

0

0.067647

0.095745

376

13

41

28.923077

0.782353

0

0.026596

0

1

0

false

0

0.083333

0

0.083333

0

null

1

0

null

0

1

6070498be025a8d35643845480f21da95fd6212e

475

py

Python

VulnerableScan/migrations/0005_vulnerablescantasks_notice.py

b0bac/ApolloScanner

26612454bfb302611e407e495c2943b27285f23d

[ "MIT" ]

289

2022-03-17T01:37:11.000Z

2022-03-31T16:04:00.000Z

VulnerableScan/migrations/0005_vulnerablescantasks_notice.py

SoryegeToon/ApolloScanner

8f321976bf892b492e42fecdeb25f7d2e45f6a59

[ "MIT" ]

18

2022-03-17T02:43:05.000Z

2022-03-30T03:10:56.000Z

VulnerableScan/migrations/0005_vulnerablescantasks_notice.py

SoryegeToon/ApolloScanner

8f321976bf892b492e42fecdeb25f7d2e45f6a59

[ "MIT" ]

71

2022-03-17T02:23:06.000Z

2022-03-31T13:30:38.000Z

# Generated by Django 4.0.1 on 2022-03-14 10:45 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('VulnerableScan', '0004_remove_exploitregister_file_object_and_more'), ] operations = [ migrations.AddField( model_name='vulnerab...

25

96

0.652632

50

475

6.02

0.82

0

0.052486

0.237895

475

18

97

26.388889

0.779006

0.094737

0

1

0

0.231308

0.11215

0

1

0

false

0

0.083333

0

0.333333

0

null

0

1

0

null

0

1

6075c274baa031316a7614672d381364b6ce1581

10,312

py

Python

bin/gff3-to-tbl.py

lcoombe/gfftools

9da14f986e7c0935ddf0df39f1468b8b28831edf

[ "MIT" ]

null

bin/gff3-to-tbl.py

lcoombe/gfftools

9da14f986e7c0935ddf0df39f1468b8b28831edf

[ "MIT" ]

1

2021-03-09T14:20:37.000Z

bin/gff3-to-tbl.py

lcoombe/gfftools

9da14f986e7c0935ddf0df39f1468b8b28831edf

[ "MIT" ]

1

2021-03-09T00:20:58.000Z

#!/usr/bin/env python2 # usage: gff3-to-tbl.py genes.gff genome.fa alignment.blastp first_locus_number import sys import re import copy import argparse from fastatools.fastatools import fasta_iter as f from gfftools.gfftools import * ############ # parse arguments desc = ''.join(['Convert a MAKER2 gff to NCBI's t...

42.262295

173

0.59552

1,340

10,312

4.482836

0.225373

0.02264

0.029965

0.042118

0.3426

0.258865

0.215582

0.151157

0.134843

0

0.00932

0.250873

10,312

243

174

42.436214

0.768285

0.398177

0

0.165138

0

0.036697

0.213748

0

null

0

0.055046

null

0.055046

0

null

0

null

0

1

0

1

6079152a40cceecf1e0c9227936356f0cb0f221d

4,183

py

Python

task_geo/data_sources/noaa/ftp.py

ansunsujoe/task-geo

4cde31a85e8b638249e503ef48c4b3eafccddcc0

[ "MIT" ]

null

task_geo/data_sources/noaa/ftp.py

ansunsujoe/task-geo

4cde31a85e8b638249e503ef48c4b3eafccddcc0

[ "MIT" ]

null

task_geo/data_sources/noaa/ftp.py

ansunsujoe/task-geo

4cde31a85e8b638249e503ef48c4b3eafccddcc0

[ "MIT" ]

null

"""Extract and prepare meteorological data from https://www.ncdc.noaa.gov/ the National Centers for Environmental Information """ from datetime import datetime import logging import os import re import tarfile as tar from ftplib import FTP import pandas as pd from references import load_dataset, DATA_DIRECTORY logg...

30.093525

93

0.669854

564

4,183

4.803191

0.326241

0.040605

0.017719

0.029531

0.065707

0.042082

0

0.006615

0.204877

4,183

138

94

30.311594

0.807877

0.006455

0

0.02381

0

0.169742

0.042577

0

null

0

0.095238

null

0

null

0

null

0

1

0

1

607ca0897abf7db55951f117279f90a1ef03dcc1

3,231

py

Python

deps/v8/tools/push-to-trunk/auto_roll.py

nikolas/node

42d8a0a3a93489ea466d13c3934faca2a703135e

[ "Artistic-2.0" ]

2

2016-04-09T06:43:23.000Z

2016-04-09T06:43:28.000Z

deps/v8/tools/push-to-trunk/auto_roll.py

nikolas/node

42d8a0a3a93489ea466d13c3934faca2a703135e

[ "Artistic-2.0" ]

2

2015-02-23T22:13:44.000Z

2015-07-29T20:14:06.000Z

deps/v8/tools/push-to-trunk/auto_roll.py

nikolas/node

42d8a0a3a93489ea466d13c3934faca2a703135e

[ "Artistic-2.0" ]

5

2016-12-25T05:38:41.000Z

2021-09-17T14:16:20.000Z

#!/usr/bin/env python # Copyright 2014 the V8 project authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import argparse import json import os import sys import urllib from common_includes import * import chromium_roll CONFIG = { PERS...

27.615385

79

0.646859

395

3,231

5.167089

0.435443

0.043116

0.027438

0.018618

0.033317

0

0.007341

0.241102

3,231

116

80

27.853448

0.825041

0.082018

0

0.123596

0

0.226766

0.008787

0

null

0

0.078652

null

0.044944

0

null

0

null

0

1

0

1

607d235cf0078c28eb9ea7bf3d8b2a342ebde062

11,873

py

Python

Lib/Img.py

NoNotCar/SpaceX

803390fdf0ed3deee18d8f0d101ae575cf9b55e1

[ "MIT" ]

null

Lib/Img.py

NoNotCar/SpaceX

803390fdf0ed3deee18d8f0d101ae575cf9b55e1

[ "MIT" ]

null

Lib/Img.py

NoNotCar/SpaceX

803390fdf0ed3deee18d8f0d101ae575cf9b55e1

[ "MIT" ]

null

__author__ = 'NoNotCar' import pygame import os from random import choice, randint import math import colorsys from itertools import count from collections import defaultdict tau = math.pi * 2 hpi = math.pi / 2 np = os.path.normpath loc = os.getcwd() + "/Assets/" pygame.mixer.init() from . import Colour class Scaled...

32.798343

200

0.607681

1,809

11,873

3.907131

0.161415

0.007923

0.009338

0.01245

0.289191

0.234578

0.171194

0.128608

0.107102

0.072581

0

0.024447

0.235155

11,873

362

201

32.798343

0.753882

0.024172

0

0.258065

0

0.010215

0.002113

0

1

0.205279

false

0

0.02346

0.070381

0.43695

0

null

0

null

0

1

0

1

608203f547be7e50fc8fb49d34f2c0b97dec6ecc

6,378

py

Python

Lib/random.py

AtjonTV/Python-1.4

2a80562c5a163490f444181cb75ca1b3089759ec

[ "Unlicense", "TCL", "DOC", "AAL", "X11" ]

null

Lib/random.py

AtjonTV/Python-1.4

2a80562c5a163490f444181cb75ca1b3089759ec

[ "Unlicense", "TCL", "DOC", "AAL", "X11" ]

null

Lib/random.py

AtjonTV/Python-1.4

2a80562c5a163490f444181cb75ca1b3089759ec

[ "Unlicense", "TCL", "DOC", "AAL", "X11" ]

null

# R A N D O M V A R I A B L E G E N E R A T O R S # # distributions on the real line: # ------------------------------ # normal (Gaussian) # lognormal # negative exponential # gamma # beta # # distributions on the circle (angles 0 to 2pi) # ----------------------------------------...

24.436782

74

0.581373

958

6,378

3.826722

0.25261

0.015821

0.057283

0.0491

0.141298

0.136934

0.093562

0.018003

0

0.059722

0.209784

6,378

260

75

24.530769

0.667659

0.346817

0

0.210884

0

0.129842

0

null

0

0.020408

null

0.047619

0

null

0

null

0

1

0

1

60863189df4493fdbe36556c2d711b92fd853da3

988

py

Python

flexget/plugins/operate/pathscrub.py

metaMMA/Flexget

a38986422461d7935ead1e2b4ed4c88bcd0a90f5

[ "MIT" ]

1

2021-03-24T11:54:01.000Z

flexget/plugins/operate/pathscrub.py

metaMMA/Flexget

a38986422461d7935ead1e2b4ed4c88bcd0a90f5

[ "MIT" ]

1

2017-10-09T23:06:44.000Z

flexget/plugins/operate/pathscrub.py

metaMMA/Flexget

a38986422461d7935ead1e2b4ed4c88bcd0a90f5

[ "MIT" ]

null

from __future__ import unicode_literals, division, absolute_import from builtins import * # noqa pylint: disable=unused-import, redefined-builtin from flexget import plugin from flexget.event import event from flexget.utils import pathscrub class PathScrub(object): """ Plugin that will clear illegal charact...

29.058824

107

0.712551

132

988

5.19697

0.583333

0.034985

0.026239

0

0.001272

0.204453

988

33

108

29.939394

0.871501

0.359312

0

0.087894

0

1

0.2

false

0

0.333333

0

0.733333

0

null

0

null

0

1

0

1

608910ea8fb3f4570ab5a4cd07541f2997d5426b

873

py

Python

config/settings/email_sending.py

HackSoftware/Django-Styleguide-Example

5cb309cc2ffc9d552be89d417d84a82d3f25d6a2

[ "MIT" ]

72

2021-12-07T09:21:26.000Z

2022-03-29T12:35:29.000Z

config/settings/email_sending.py

HackSoftware/Django-Styleguide-Example

5cb309cc2ffc9d552be89d417d84a82d3f25d6a2

[ "MIT" ]

21

2021-12-13T13:34:43.000Z

2022-03-28T09:07:42.000Z

config/settings/email_sending.py

HackSoftware/Django-Styleguide-Example

5cb309cc2ffc9d552be89d417d84a82d3f25d6a2

[ "MIT" ]

11

2021-12-09T16:52:40.000Z

2022-03-10T11:45:15.000Z

from config.env import env, env_to_enum from styleguide_example.emails.enums import EmailSendingStrategy # local | mailtrap EMAIL_SENDING_STRATEGY = env_to_enum( EmailSendingStrategy, env("EMAIL_SENDING_STRATEGY", default="local") ) EMAIL_SENDING_FAILURE_TRIGGER = env.bool("EMAIL_SENDING_FAILURE_TRIGGER", de...

37.956522

88

0.805269

111

873

5.945946

0.342342

0.145455

0.121212

0.090909

0.230303

0.10303

0

0.002558

0.104238

873

22

89

39.681818

0.841432

0.018328

0

0.305263

0.254971

0

1

0

false

0.0625

0.125

0

0.125

0

null

0

null

0

1

0

1

60902a0be12e6900ecdfa192bc4b664d5ea6e650

345

py

Python

Empzxy Projects/Software Engineering/Software Simulations/QR Code Discord Bot/main.py

Empzxy/Empzxy-2022-Projects-Overview

223fa3e2bf3a3dd39a72ebe2f4dfb08c180ebf48

[ "MIT" ]

null

Empzxy Projects/Software Engineering/Software Simulations/QR Code Discord Bot/main.py

Empzxy/Empzxy-2022-Projects-Overview

223fa3e2bf3a3dd39a72ebe2f4dfb08c180ebf48

[ "MIT" ]

null

Empzxy Projects/Software Engineering/Software Simulations/QR Code Discord Bot/main.py

Empzxy/Empzxy-2022-Projects-Overview

223fa3e2bf3a3dd39a72ebe2f4dfb08c180ebf48

[ "MIT" ]

null

import discord from discord.ext import commands import pyqrcode client = commands.Bot(command_prefix='!') @client.command(pass_context=True) async def test(ctx, member): message = message.content await ctx.send(file=discord.File('code.png')) link = pyqrcode.create(message) link.png('code.png', s...

20.294118

49

0.713043

47

345

5.191489

0.638298

0.057377

0

0.006826

0.150725

345

16

50

21.5625

0.825939

0

0.049275

0

1

0

false

0.090909

0.272727

0

0.272727

0

null

0

null

0

1

0

1

609cb17e59909d81aec7de67cb4cb6df5c0a8bab

309

py

Python

part52/blog/urls.py

yllew36/WellyGI

7d53fac4c81bb994f61b22761e5ac7e48994ade4

[ "Apache-2.0" ]

1

2019-11-15T08:02:45.000Z

part52/blog/urls.py

yllew36/WellyGI

7d53fac4c81bb994f61b22761e5ac7e48994ade4

[ "Apache-2.0" ]

null

part52/blog/urls.py

yllew36/WellyGI

7d53fac4c81bb994f61b22761e5ac7e48994ade4

[ "Apache-2.0" ]

null

from django.contrib import admin from django.urls import path, include from django.views.generic import TemplateView from .views import BlogHomeView urlpatterns = [ path('artikel/', include(('artikel.urls','artikel'))), path('',BlogHomeView.as_view(), name='home'), path('admin/', admin.site.urls), ]

25.75

55

0.731392

39

309

5.769231

0.487179

0.133333

0

0.113269

309

11

56

28.090909

0.821168

0

0.119741

0

1

0

false

0

0.444444

0

0.444444

0

null

0

null

0

1

0

1

60a14575eadd06c3f5058e4561b01642ab6ff763

365

py

Python

assesments/migrations/0012_rename_api_user_taker_user.py

gotoiot/service-django-rest-api

0154d23f9cfc0bc7bbfc94941851586332c1732c

[ "MIT" ]

null

assesments/migrations/0012_rename_api_user_taker_user.py

gotoiot/service-django-rest-api

0154d23f9cfc0bc7bbfc94941851586332c1732c

[ "MIT" ]

null

assesments/migrations/0012_rename_api_user_taker_user.py

gotoiot/service-django-rest-api

0154d23f9cfc0bc7bbfc94941851586332c1732c

[ "MIT" ]

null

# Generated by Django 3.2.8 on 2021-10-31 15:19 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('assesments', '0011_auto_20211031_1218'), ] operations = [ migrations.RenameField( model_name='taker', old_name='api_user', ...

19.210526

50

0.586301

40

365

5.175

0.825

0

0.121569

0.30137

365

18

51

20.277778

0.690196

0.123288

0

1

0

0.157233

0.072327

0

1

0

false

0

0.083333

0

0.333333

0

null

0

1

0

null

0

1

60a498bfebcf7aa7211ffee904e20c32dcb40676

4,957

py

Python

lake/modules/chain.py

StanfordAHA/Lake

34df001db107e1a0824b7fdb05b9f2145bf49a3e

[ "BSD-3-Clause" ]

11

2019-10-14T02:05:38.000Z

2022-03-10T14:10:22.000Z

lake/modules/chain.py

StanfordAHA/Lake

34df001db107e1a0824b7fdb05b9f2145bf49a3e

[ "BSD-3-Clause" ]

29

2019-09-02T05:49:40.000Z

2022-02-26T00:57:54.000Z

lake/modules/chain.py

StanfordAHA/Lake

34df001db107e1a0824b7fdb05b9f2145bf49a3e

[ "BSD-3-Clause" ]

1

2021-04-16T20:26:13.000Z

from kratos import * import kratos as kts class Chain(Generator): def __init__(self, data_width, interconnect_output_ports, chain_idx_bits): super().__init__("Chain", debug=True) # generator parameters self.data_width = data_width ...

40.631148

82

0.528344

529

4,957

4.440454

0.109641

0.095785

0.176245

0.172414

0.720307

0.478076

0.411665

0.285228

0.245211

0.225628

0

0.003384

0.403873

4,957

121

83

40.966942

0.79154

0.005447

0

0.421053

0

0.044043

0.004262

0

1

0.063158

false

0

0.021053

0

0.094737

0

null

0

1

0

null

0

1

60a59fd4b2e15cb22ff04da7d88c297a15da19a1

2,126

py

Python

plot_sleep.py

dhruvbaldawa/fitbit

3aa57e549095153f0d6874e938146c3236181372

[ "MIT" ]

null

plot_sleep.py

dhruvbaldawa/fitbit

3aa57e549095153f0d6874e938146c3236181372

[ "MIT" ]

null

plot_sleep.py

dhruvbaldawa/fitbit

3aa57e549095153f0d6874e938146c3236181372

[ "MIT" ]

null

import os import logging import itertools import json import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import pylab from datetime import datetime from utils import gen_next_day, setup_logging sns.set() plt.switch_backend('Qt4Agg') ROOT = os.getcwd() CONFIG_FILE = os.path.join(ROOT, 'config....

26.911392

78

0.676388

301

2,126

4.55814

0.378738

0.065598

0.029155

0.020408

0.055394

0

0.018182

0.198024

2,126

78

79

27.25641

0.78651

0.004233

0

0.062884

0

null

0

0.175439

null

0.017544

0

null

0

null

0

1

0

1

60a6ca5df714ca76e022e74ce48f308f598407b6

606

py

Python

Alihossein/university/296/296.py

mhdehghan/quera-answers

28dc0a9dbe3697593d7cbe05c9f05db2d3b01790

[ "MIT" ]

null

Alihossein/university/296/296.py

mhdehghan/quera-answers

28dc0a9dbe3697593d7cbe05c9f05db2d3b01790

[ "MIT" ]

null

Alihossein/university/296/296.py

mhdehghan/quera-answers

28dc0a9dbe3697593d7cbe05c9f05db2d3b01790

[ "MIT" ]

null

# question : https://quera.ir/problemset/university/296/ n = int(input()) for i in range(1, n + 1): line = '' for j in range(1, n + 1): if i in [1, n]: line += '#' elif j in [1, n]: line += '#' elif i == j: line += '#' elif j == n - i + 1: ...

23.307692

56

0.308581

69

606

2.710145

0.318841

0.042781

0.144385

0.096257

0.352941

0

0.041958

0.528053

606

25

57

24.24

0.611888

0.089109

0

0.478261

0

0.014545

0

1

0

false

0

0.043478

0

null

0

1

0

null

0

1

60a6f14e8ede961257edb7bf7e6f96834a24adf5

1,346

py

Python

examples/pylab_examples/contourf_log.py

yuvallanger/matplotlib

e0020d318a9a9685594c6bff4631f74599321459

[ "MIT", "BSD-3-Clause" ]

8

2017-04-11T08:55:30.000Z

2022-03-25T04:31:26.000Z

examples/pylab_examples/contourf_log.py

epgauss/matplotlib

c9898ea9a30c67c579ab27cd61b68e2abae0fb0e

[ "MIT", "BSD-3-Clause" ]

null

examples/pylab_examples/contourf_log.py

epgauss/matplotlib

c9898ea9a30c67c579ab27cd61b68e2abae0fb0e

[ "MIT", "BSD-3-Clause" ]

14

2015-10-05T04:15:46.000Z

2020-06-11T18:06:02.000Z

''' Demonstrate use of a log color scale in contourf ''' from matplotlib import pyplot as P import numpy as np from numpy import ma from matplotlib import colors, ticker, cm from matplotlib.mlab import bivariate_normal N = 100 x = np.linspace(-3.0, 3.0, N) y = np.linspace(-2.0, 2.0, N) X, Y = np.meshgrid(x, y) # A ...

28.638298

77

0.679792

253

1,346

3.588933

0.474308

0.013216

0.029736

0.037445

0.04185

0.030837

0

0.037753

0.193165

1,346

46

78

29.26087

0.798343

0.586181

0

1

0

false

0

0.3125

0

0.3125

0

null

0

null

0

1

0

1

60b3de4f1fa6b9e3345bc86e60470e4eea9e85a3

7,728

py

Python

src/sage/algebras/lie_conformal_algebras/weyl_lie_conformal_algebra.py

UCD4IDS/sage

43474c96d533fd396fe29fe0782d44dc7f5164f7

[ "BSL-1.0" ]

null

src/sage/algebras/lie_conformal_algebras/weyl_lie_conformal_algebra.py

UCD4IDS/sage

43474c96d533fd396fe29fe0782d44dc7f5164f7

[ "BSL-1.0" ]

null

src/sage/algebras/lie_conformal_algebras/weyl_lie_conformal_algebra.py

UCD4IDS/sage

43474c96d533fd396fe29fe0782d44dc7f5164f7

[ "BSL-1.0" ]

null

r""" Weyl Lie Conformal Algebra Given a commutative ring `R`, a free `R`-module `M` and a non-degenerate, skew-symmetric, bilinear pairing `\langle \cdot,\cdot\rangle: M \otimes_R M \rightarrow R`. The *Weyl* Lie conformal algebra associated to this datum is the free `R[T]`-module generated by `M` plus a central vecto...

37.333333

110

0.571946

927

7,728

4.640777

0.245955

0.080893

0.079498

0.04463

0.354254

0.246165

0.208043

0.152487

0.135053

0

0.017583

0.30823

7,728

206

111

37.514563

0.787131

0.553313

0

0.140351

1

0

0.092766

0

0.070175

1

0.052632

false

0

0.105263

0

0.210526

0

null

0

1

0

null

0

1

60b46bbc1792afceeb50a6fa6327f4ff38c03bed

7,308

py

Python

src/Cofactorization.py

sumitsidana/cofactor

d392a7838f868491267a2a6f82cab27bcb5d1870

[ "Apache-2.0" ]

null

src/Cofactorization.py

sumitsidana/cofactor

d392a7838f868491267a2a6f82cab27bcb5d1870

[ "Apache-2.0" ]

null

src/Cofactorization.py

sumitsidana/cofactor

d392a7838f868491267a2a6f82cab27bcb5d1870

[ "Apache-2.0" ]

null

# coding: utf-8 # # Fit CoFactor model to the binarized ML20M # In[1]: import itertools import glob import os import sys os.environ['OPENBLAS_NUM_THREADS'] = '1' import numpy as np import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import pandas as pd from scipy import sparse import seaborn a...

21.494118

147

0.671866

1,287

7,308

3.633256

0.247086

0.02053

0.034217

0.032934

0.258982

0.215569

0.174722

0.147134

0.135158

0.09923

0

0.031082

0.159141

7,308

339

148

21.557522

0.729862

0.215791

0

0.069767

0

0.128673

0.044248

0

null

0.03876

0.100775

null

0.046512

0

null

0

null

0

1

0

1

60b582637275fd5cad7ceb65419dbb955328f63c

5,022

py

Python

tumornorm_subtype/training.py

hms-dbmi/breastCaPathologyTranscriptomics

4ecaea6dd6100a86f4d51acbf98ba7b2c7677e6e

[ "BSD-2-Clause" ]

3

2021-11-30T08:47:37.000Z

2022-02-27T17:24:17.000Z

tumornorm_subtype/training.py

hms-dbmi/breastCaPathologyTranscriptomics

4ecaea6dd6100a86f4d51acbf98ba7b2c7677e6e

[ "BSD-2-Clause" ]

null

tumornorm_subtype/training.py

hms-dbmi/breastCaPathologyTranscriptomics

4ecaea6dd6100a86f4d51acbf98ba7b2c7677e6e

[ "BSD-2-Clause" ]

7

2021-01-07T21:30:09.000Z

2022-01-07T09:51:50.000Z

""" Script by Yasha Ektefaie, November 2020 Used to train models on pathology images (pre-chunked), transfer learning from inceptionv3 """ import numpy as np import tables import pickle import neptune from neptunecontrib.monitoring.keras import NeptuneMonitor import collections from sklearn.utils import class_weig...

34.39726

118

0.714855

689

5,022

5.063861

0.348331

0.041273

0.020636

0.015477

0.106907

0.096589

0.061336

0.044712

0

0.018975

0.191955

5,022

145

119

34.634483

0.840808

0.144564

0

0.061856

0

0.069522

0.016152

0

1

0.020619

false

0

0.309278

0

0.340206

0

null

0

null

0

1

0

1

60b7d198bdf7660a744249bfa9c95a6ed2829a8e

934

py

Python

babybuddy/settings/heroku.py

vault-the/babybuddy

162f117cef019771ef6393146a0c63110e337d7f

[ "BSD-2-Clause" ]

null

babybuddy/settings/heroku.py

vault-the/babybuddy

162f117cef019771ef6393146a0c63110e337d7f

[ "BSD-2-Clause" ]

null

babybuddy/settings/heroku.py

vault-the/babybuddy

162f117cef019771ef6393146a0c63110e337d7f

[ "BSD-2-Clause" ]

null

import os import dj_database_url from .base import * # noqa: F401,F403 DEBUG = False # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = os.environ['SECRET_KEY'] # Database # https://docs.djangoproject.com/en/1.11/ref/settings/#databases DATABASES = { 'default': dj_database_ur...

23.35

79

0.750535

131

934

5.152672

0.603053

0.094815

0.038519

0.059259

0

0.029337

0.1606

934

39

80

23.948718

0.831633

0.307281

0

0.179245

0.072327

0

1

0

false

0.157895

0

0.157895

0

null

0

null

0

1

0

1

60ba50b03c81d72f7d7bb65a4e50c72e3db1bc10

681

py

Python

46-Permutations.py

kokokuo/oh-leetcode

253ccd7005acb28b9d14176d4b65fe0d114442a4

[ "MIT" ]

1

2019-08-02T08:54:12.000Z

46-Permutations.py

kokokuo/oh-leetcode

253ccd7005acb28b9d14176d4b65fe0d114442a4

[ "MIT" ]

null

46-Permutations.py

kokokuo/oh-leetcode

253ccd7005acb28b9d14176d4b65fe0d114442a4

[ "MIT" ]

null

from typing import List class Solution: def permute(self, nums: List[int]) -> List[List[int]]: if len(nums) == 1: return [nums] else: i = 0 ps = [] ori = nums[:] while(i < len(nums)): j = i while(j - 1 >= 0...

28.375

68

0.361233

81

681

2.962963

0.333333

0.145833

0.075

0.083333

0

0.026786

0.506608

681

23

69

29.608696

0.6875

0

1

0.047619

false

0

0.047619

0

0.238095

0

null

0

1

0

null

0

1

60bf8a2be32bc91dddf4208d7be8ea6a56ecea24

2,070

py

Python

example-lib/classifier.py

gbnk0/simple-image-classifier

270572787f5f171e26f23cfe244ad74cdc81738e

[ "MIT" ]

24

2018-07-23T15:05:05.000Z

2021-11-28T04:33:32.000Z

example-lib/classifier.py

gbnk0/simple-image-classifier

270572787f5f171e26f23cfe244ad74cdc81738e

[ "MIT" ]

17

2018-07-20T23:20:33.000Z

2018-09-25T11:58:30.000Z

example-lib/classifier.py

gbnk0/simple-image-classifier

270572787f5f171e26f23cfe244ad74cdc81738e

[ "MIT" ]

7

2018-11-16T08:50:26.000Z

2021-11-24T20:58:21.000Z

import requests class SimpleClassifier(object): def __init__(self, **kwargs): self.host = kwargs.get('host', "localhost") self.port = kwargs.get('port', 8080) self.proto = kwargs.get('proto', "http") self.uri = "{}://{}:{}".format(self.proto, self.host, self.port) self.data...

32.34375

78

0.533816

208

2,070

5.230769

0.216346

0.102941

0.110294

0.132353

0.292279

0.101103

0

0.002907

0.335266

2,070

63

79

32.857143

0.787791

0

0.170213

0

0.067633

0

1

0.212766

false

0

0.021277

0.446809

0

null

0

null

0

1

0

1

60c3d29266cb89d95b52ace0e27f10132a694e28

7,864

py

Python

chapter4/taylorDiagram.py

braghiere/python_plots

83d19c5e67e3542eee38b7c89958fca1fc6c4402

[ "Apache-2.0" ]

null

chapter4/taylorDiagram.py

braghiere/python_plots

83d19c5e67e3542eee38b7c89958fca1fc6c4402

[ "Apache-2.0" ]

null

chapter4/taylorDiagram.py

braghiere/python_plots

83d19c5e67e3542eee38b7c89958fca1fc6c4402

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright: This document has been placed in the public domain. """ Taylor diagram (Taylor, 2001) test implementation. http://www-pcmdi.llnl.gov/about/staff/Taylor/CV/Taylor_diagram_primer.htm """ __version__ = "Time-stamp: <2012-02-17 20:59:35 ycopin>" __author__ = "Yannick Copin <yannick.cop...

37.626794

139

0.618896

1,075

7,864

4.406512

0.297674

0.038421

0.018577

0.01921

0.247414

0.210682

0.169305

0.136795

0.127929

0.096052

0

0.038642

0.243133

7,864

208

140

37.807692

0.757224

0.164929

0

0.019231

0

0.181943

0.115438

0

null

0

0.057692

null

0.009615

0

null

0

null

0

1

0

1

60cb7f02c7c6d5a3d36589cb4668a3decf9dc155

246

py

Python

pc_meiduo/meiduo_mall/celery_tasks/main.py

lyq919233278/meiduo_mall

c551896ffc9bb00bb1c4ad7e15825e8e096e571b

[ "MIT" ]

null

pc_meiduo/meiduo_mall/celery_tasks/main.py

lyq919233278/meiduo_mall

c551896ffc9bb00bb1c4ad7e15825e8e096e571b

[ "MIT" ]

null

pc_meiduo/meiduo_mall/celery_tasks/main.py

lyq919233278/meiduo_mall

c551896ffc9bb00bb1c4ad7e15825e8e096e571b

[ "MIT" ]

null

# 从你刚刚下载的包中导入Celery类 from celery import Celery # 利用导入的Celery创建对象 celery_app = Celery('meiduo') celery_app.config_from_object('celery_tasks.config') # 让celery_app自动捕获目标地址下的任务： # 就是自动捕获tasks celery_app.autodiscover_tasks(['celery_tasks.sms'])

17.571429

52

0.813008

28

246

6.821429

0.535714

0.141361

0

0.089431

246

13

53

18.923077

0.852679

0.288618

0

0.242604

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

null

0

1

60cce85817544550a557284a6b7f35f901777d7c

3,018

py

Python

tests/test_structured.py

randomir/dimod

8f636168a620e0dc9d969fb0a813f6b4ba5a755c

[ "Apache-2.0" ]

null

tests/test_structured.py

randomir/dimod

8f636168a620e0dc9d969fb0a813f6b4ba5a755c

[ "Apache-2.0" ]

null

tests/test_structured.py

randomir/dimod

8f636168a620e0dc9d969fb0a813f6b4ba5a755c

[ "Apache-2.0" ]

null

# Copyright 2018 D-Wave Systems Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...

30.484848

98

0.574221

353

3,018

4.866856

0.362606

0.008149

0.026193

0.043655

0.233411

0.211292

0.172875

0.153667

0

0.017118

0.303181

3,018

99

30.484848

0.79981

0.271703

0

0.344828

0

0.010092

0

0.172414

1

0.172414

false

0

0.086207

0.103448

0.431034

0

null

0

null

0

1

0

1

60d21a329089e93b217dae3f4a4750ed1e373c99

10,498

py

Python

templates/harikiri.py

d3lta-v/puppet-autoscale

39f40439e392a6e7659fc3b3d3e0ce59044cec4b

[ "Apache-2.0" ]

null

templates/harikiri.py

d3lta-v/puppet-autoscale

39f40439e392a6e7659fc3b3d3e0ce59044cec4b

[ "Apache-2.0" ]

null

templates/harikiri.py

d3lta-v/puppet-autoscale

39f40439e392a6e7659fc3b3d3e0ce59044cec4b

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ HySDS inactivity daemon to perform scale down of auto scaling group/spot fleet request and perform self-termination (harikiri) of the instance. If a keep-alive signal file exists at <root_work_dir>/.harikiri, then self-termination is bypassed until it is removed. """ import os, sys, time, re,...

36.2

154

0.649552

1,343

10,498

4.909159

0.231571

0.032762

0.013803

0.018049

0.321098

0.298498

0.233429

0.21538

0.204156

0.181708

0

0.009921

0.241475

10,498

289

155

36.32526

0.818033

0.033054

0

0.274112

0

0.020305

0.147997

0.014305

0

null

0.025381

0.055838

null

0.020305

0

null

0

null

0

1

0

1

60d353c6ca4fbf980279e6451ff068fbf6189976

8,104

py

Python

gen/argo/events/client/models/v1alpha1_aws_lambda_trigger.py

argoproj-labs/argo-events-client-python

3d6e3dffca4a12a490c2963f4ac90c8894948bb5

[ "Apache-2.0" ]

null

gen/argo/events/client/models/v1alpha1_aws_lambda_trigger.py

argoproj-labs/argo-events-client-python

3d6e3dffca4a12a490c2963f4ac90c8894948bb5

[ "Apache-2.0" ]

null

gen/argo/events/client/models/v1alpha1_aws_lambda_trigger.py

argoproj-labs/argo-events-client-python

3d6e3dffca4a12a490c2963f4ac90c8894948bb5

[ "Apache-2.0" ]

null

# coding: utf-8 """ Argo Events No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1.0.0 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six fr...

31.410853

166

0.625617

882

8,104

5.596372

0.148526

0.050243

0.145867

0.123987

0.517423

0.446921

0.410656

0.317261

0.227512

0.140194

0

0.030671

0.287883

8,104

257

167

31.533074

0.82464

0.357354

0

0.086957

1

0

0.097539

0.013423

0

1

0.156522

false

0

0.034783

0

0.330435

0.017391

0

null

0

1

0

null

0

1

60ec7b77177a43839cd5e0997d8966f547932da4

11,877

py

Python

knowledge_distillation.py

TokiTahmid64/MD-CardioNet-A-Multi-Dimensional-Deep-Neural-Network-for-Cardiovascular-Disease-Diagnosis-from-Elec

9415b8b84ba0c349cc116ecef34a93b50f7257c1

[ "MIT" ]

null

knowledge_distillation.py

TokiTahmid64/MD-CardioNet-A-Multi-Dimensional-Deep-Neural-Network-for-Cardiovascular-Disease-Diagnosis-from-Elec

9415b8b84ba0c349cc116ecef34a93b50f7257c1

[ "MIT" ]

null

knowledge_distillation.py

TokiTahmid64/MD-CardioNet-A-Multi-Dimensional-Deep-Neural-Network-for-Cardiovascular-Disease-Diagnosis-from-Elec

9415b8b84ba0c349cc116ecef34a93b50f7257c1

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Knowledge_Distillation.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1OAkgOFYmfsD7Um1WiHnvFm_WfJa9XdIW """ #Importing necessary Libraries import tensorflow as tf import numpy as np import keras import random from ker...

34.426087

344

0.691505

1,724

11,877

4.559745

0.146752

0.027986

0.016029

0.054064

0.418267

0.350083

0.314973

0.268286

0.251368

0.236229

0

0.059057

0.171676

11,877

345

34.426087

0.739988

0.18178

0

0.166667

1

0

0.036281

0.010862

0

1

0.055556

false

0

0.111111

0

0.216667

0.027778

0

null

0

1

0

null

0

1

60f2bf9fdc96f5a4d67feb80e246a8b6327a3325

568

py

Python

setup.py

zhtpandog/Indexed_Heap

f87e1460eac009c1345b2b7b9c8cc695d54c787d

[ "MIT" ]

4

2017-10-23T17:40:20.000Z

2017-10-23T20:51:18.000Z

setup.py

zhtpandog/Indexed_Heap

f87e1460eac009c1345b2b7b9c8cc695d54c787d

[ "MIT" ]

null

setup.py

zhtpandog/Indexed_Heap

f87e1460eac009c1345b2b7b9c8cc695d54c787d

[ "MIT" ]

null

from distutils.core import setup setup( name = 'Indexed_Heap', packages = ['Indexed_Heap'], version = '1.0', description = 'A binary indexed heap', author = 'Haotian Zhang', author_email = 'zhtpandog@gmail.com', url = 'https://github.com/zhtpandog/Indexed_Heap', download_url = 'https://github.com/zhtpa...

40.571429

184

0.674296

70

568

5.385714

0.628571

0.175066

0.074271

0.090186

0.196286

0

0.00823

0.144366

568

13

185

43.692308

0.76749

0

0.526408

0

1

0

true

0

0.076923

0

0.076923

0

null

0

null

0

1

0

1

60fe683e0767a2b5d7e3ad5a94047347842b275f

3,025

py

Python

folly/build/generate_varint_tables.py

hanzz2007/folly

f3645b93a8426f6b43b8cd8d2269650e87c67d26

[ "Apache-2.0" ]

null

folly/build/generate_varint_tables.py

hanzz2007/folly

f3645b93a8426f6b43b8cd8d2269650e87c67d26

[ "Apache-2.0" ]

null

folly/build/generate_varint_tables.py

hanzz2007/folly

f3645b93a8426f6b43b8cd8d2269650e87c67d26

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Generate tables for GroupVarint32 # Copyright 2011 Facebook # # @author Tudor Bosman (tudorb@fb.com) # # Reference: http://www.stepanovpapers.com/CIKM_2011.pdf # # From 17 encoded bytes, we may use between 5 and 17 bytes to encode 4 # integers. The first byte is a key that indicates how many ...

26.077586

77

0.586446

475

3,025

3.661053

0.378947

0.012651

0.023002

0.016101

0.066705

0.046003

0.021852

0

0.064589

0.268099

3,025

115

78

26.304348

0.720867

0.42843

0

0.196078

1

0

0.314848

0.087657

0

0.002385

0

1

0.039216

false

0

0.039216

0

0.078431

0

null

0

1

0

null

0

1

88003a6adc82c35b539050dd8103114d33f620c9

643

py

Python

layers/poky/meta/lib/oeqa/core/tests/cases/data.py

dtischler/px30-test

55dce0b7aff1c4a7dea3ac94f94cc9c67fba7c9f

[ "Apache-2.0" ]

53

2018-02-28T08:51:32.000Z

2022-02-28T06:49:23.000Z

layers/poky/meta/lib/oeqa/core/tests/cases/data.py

dtischler/px30-test

55dce0b7aff1c4a7dea3ac94f94cc9c67fba7c9f

[ "Apache-2.0" ]

27

2018-01-25T00:26:53.000Z

2020-08-09T05:20:04.000Z

layers/poky/meta/lib/oeqa/core/tests/cases/data.py

dtischler/px30-test

55dce0b7aff1c4a7dea3ac94f94cc9c67fba7c9f

[ "Apache-2.0" ]

51

2018-02-21T04:46:08.000Z

2022-03-02T04:20:41.000Z

# Copyright (C) 2016 Intel Corporation # Released under the MIT license (see COPYING.MIT) from oeqa.core.case import OETestCase from oeqa.core.decorator.oetag import OETestTag from oeqa.core.decorator.data import OETestDataDepends class DataTest(OETestCase): data_vars = ['IMAGE', 'ARCH'] @OETestDataDepends([...

30.619048

68

0.698289

76

643

5.894737

0.552632

0.053571

0.080357

0.140625

0.160714

0

0.011173

0.164852

643

20

69

32.15

0.823091

0.132193

0

0.147748

0

0.214286

1

0.142857

false

0.071429

0.214286

0

0.5

0

null

0

null

0

1

0

1

88004b0809fab1741533c5c82a029c25dd7f128d

2,044

py

Python

project/path.py

ProfesseurGibaud/TestSite

53d2dda4ab8135104be28c57decfb244d5e2e72a

[ "MIT" ]

304

2015-01-06T18:02:49.000Z

2021-12-11T18:08:37.000Z

project/path.py

ProfesseurGibaud/TestSite

53d2dda4ab8135104be28c57decfb244d5e2e72a

[ "MIT" ]

9

2015-04-11T19:38:23.000Z

2019-11-16T19:38:07.000Z

project/path.py

ProfesseurGibaud/TestSite

53d2dda4ab8135104be28c57decfb244d5e2e72a

[ "MIT" ]

41

2015-04-11T14:58:02.000Z

2021-11-13T20:47:58.000Z

# coding: utf-8 """ This module contains all the paths for alls this project's directories, that we created dynamically. All paths are absolute, without symlink and in unicode. We also add the 'apps' and 'libs' directories to the PYTHON PATH, which will make the imports much easier. """ impo...

35.859649

80

0.755382

339

2,044

4.483776

0.442478

0.009868

0.013158

0.017105

0.055263

0

0.001801

0.184932

2,044

56

81

36.5

0.910564

0.787182

0

0.065445

0.054974

0

1

0

false

0

0.333333

0

0.333333

0

null

0

null

0

1

0

1

88019f98cf9154c46b0a5fedd1fcddf19acd00ca

903

py

Python

senlinclient/tests/functional/test_readonly_senlin.py

openstack/python-senlinclient

9fc2edcbba7e5c83b609f344ec42adf56ab34415

[ "Apache-2.0" ]

20

2015-10-18T02:56:33.000Z

2019-01-25T04:31:14.000Z

senlinclient/tests/functional/test_readonly_senlin.py

stackforge/python-senlinclient

36a61a7912e4a28558058425eeefe37805d1f4b5

[ "Apache-2.0" ]

null

senlinclient/tests/functional/test_readonly_senlin.py

stackforge/python-senlinclient

36a61a7912e4a28558058425eeefe37805d1f4b5

[ "Apache-2.0" ]

10

2015-11-19T05:50:34.000Z

2020-03-24T10:22:25.000Z

# 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 # distributed unde...

36.12

75

0.717608

123

903

5.252033

0.699187

0.092879

0.040248

0.049536

0

0.005626

0.212625

903

24

76

37.625

0.902954

0.623477

0

0.058642

0

0.142857

1

0.142857

false

0

0.285714

0

0.571429

0

null

0

null

0

1

0

1

880fe9470a2556e65b11015541aba628a3933042

1,318

py

Python

indexer.py

rcarmo/yaki-tng

9f1094bc8e359be881fb5ca19042f352b8c8d8a1

[ "MIT" ]

2

2015-12-21T02:24:13.000Z

2016-03-08T06:45:58.000Z

indexer.py

rcarmo/yaki-tng

9f1094bc8e359be881fb5ca19042f352b8c8d8a1

[ "MIT" ]

null

indexer.py

rcarmo/yaki-tng

9f1094bc8e359be881fb5ca19042f352b8c8d8a1

[ "MIT" ]

1

2015-07-19T22:10:51.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Indexer daemon Created by: Rui Carmo """ try: from gevent import monkey; monkey.patch_all() except: print "Could not load gevent, proceeding." import os, sys, logging, logging.config # Make sure our bundled libraries take precedence for f in ['lib','controll...

22.724138

81

0.662367

176

1,318

4.852273

0.551136

0.070258

0.053864

0.032787

0

0.001957

0.224583

1,318

57

82

23.122807

0.833659

0.068285

0

0.144915

0

null

0

0.228571

null

0.057143

0

null

0

null

0

1

0

1

8811f41a439c362178207d07418c718001b53dc3

1,973

gyp

Python

binding.gyp

second-state/ssvm-napi-extensions

cb7a48ce3ee78a4bcf95da80616c1c30a7aa7b9d

[ "Apache-2.0" ]

4

2021-01-20T02:28:17.000Z

2021-05-09T00:57:11.000Z

binding.gyp

second-state/ssvm-napi-extensions

cb7a48ce3ee78a4bcf95da80616c1c30a7aa7b9d

[ "Apache-2.0" ]

3

2020-11-27T06:11:03.000Z

2020-12-28T03:52:41.000Z

binding.gyp

second-state/ssvm-napi-extensions

cb7a48ce3ee78a4bcf95da80616c1c30a7aa7b9d

[ "Apache-2.0" ]

null

{ "targets": [ { "target_name": "action_before_build", "type": "none", "hard_dependency": 1, "actions": [ { "action_name": "build rust-native-storage library", "inputs": [ "scripts/build_storage_lib.sh" ], "outputs": [ "" ], "action": ["scrip...

30.828125

93

0.508363

186

1,973

5.177419

0.403226

0.074766

0.091381

0.094496

0.208723

0.103842

0

0.002188

0.305119

1,973

63

94

31.31746

0.700219

0

0.063492

0

0.564116

0.307146

0

1

0

true

0

null

0

null

0

1

0

1

7147389e465ea1922b7dd9e9d3af655a239d42bd

2,314

py

Python

final/codes/bag_of_words.py

rodneyrick/MO444-PatternRecognition-and-MachineLearning

5b0f9968b5b9e5c761cac48675118a9a755a5592

[ "MIT" ]

1

2019-08-04T21:00:07.000Z

final/codes/bag_of_words.py

rodneyrick/MO444-PatternRecognition-and-MachineLearning

5b0f9968b5b9e5c761cac48675118a9a755a5592

[ "MIT" ]

null

final/codes/bag_of_words.py

rodneyrick/MO444-PatternRecognition-and-MachineLearning

5b0f9968b5b9e5c761cac48675118a9a755a5592

[ "MIT" ]

null

__author__ = 'mint64' import pandas as pd import re from nltk.corpus import stopwords # Import the stop word list from nltk.stem.snowball import SnowballStemmer stemmer = SnowballStemmer("english") stops = set(stopwords.words("english")) def words(descriptor): letters_only = re.sub("[^a-zA-Z]", " ", descriptor) ...

31.69863

91

0.584702

328

2,314

4.015244

0.314024

0.058466

0.013667

0.025057

0.059985

0.022779

0

0.01853

0.27701

2,314

73

92

31.69863

0.768679

0.024201

0

0.064516

0

0.061641

0

null

0

0.064516

null

0.032258

0

null

0

null

0

1

0

1

7151e6ba17b2b7182e86b4995840bd2f05d8dbe0

2,086

py

Python

packages/service-library/src/servicelib/rest_validators.py

KZzizzle/osparc-simcore

981bc8d193f3f5d507e3225f857e0308c339e163

[ "MIT" ]

null

packages/service-library/src/servicelib/rest_validators.py

KZzizzle/osparc-simcore

981bc8d193f3f5d507e3225f857e0308c339e163

[ "MIT" ]

17

2020-10-15T16:06:05.000Z

2022-03-21T18:48:21.000Z

packages/service-library/src/servicelib/rest_validators.py

GitHK/osparc-simcore-forked

5b01a28d1b8028afcf9a735e1d46a73daa13686e

[ "MIT" ]

null

from aiohttp import web from openapi_core.validation.request.validators import RequestValidator from openapi_core.validation.response.validators import ResponseValidator from .openapi_wrappers import ( PATH_KEY, QUERY_KEY, AiohttpOpenAPIRequest, AiohttpOpenAPIResponse, ) from .rest_oas import OpenApiSp...

30.676471

82

0.650048

221

2,086

5.9819

0.380091

0.05295

0.054463

0.037821

0.124054

0.081694

0

0.280441

2,086

67

83

31.134328

0.880746

0.101151

0

0.212766

0

0.047002

0

0.014925

0

1

0.06383

false

0

0.12766

0

0.255319

0

null

0

null

0

1

0

1

7153dab6ed11ba1d922ccb316a3b4085841e3481

6,561

py

Python

trainloops/morph_ae_train_loop.py

Gerryflap/master_thesis

5dc16e21b23837fee8a4532679bb5cb961af0b7c

[ "MIT" ]

null

trainloops/morph_ae_train_loop.py

Gerryflap/master_thesis

5dc16e21b23837fee8a4532679bb5cb961af0b7c

[ "MIT" ]

null

trainloops/morph_ae_train_loop.py

Gerryflap/master_thesis

5dc16e21b23837fee8a4532679bb5cb961af0b7c

[ "MIT" ]

null

""" An experimental trainloop that borrows ideas from VAE/GAN, but lets go of the constraint that the Generator should be able to generate a face from any point in the latent space. """ import math import torch from trainloops.train_loop import TrainLoop class MorphAETrainLoop(TrainLoop): def __init...

38.145349

137

0.585429

923

6,561

3.916576

0.215601

0.034855

0.028769

0.026556

0.160996

0.097925

0.079115

0.034855

0.023237

0

0.016349

0.319464

6,561

172

138

38.145349

0.793281

0.267642

0

0.064815

1

0

0.020078

0

1

0.055556

false

0

0.027778

0.009259

0.138889

0

null

0

1

0

null

0

1

7154392a0af9f118b24f9bd7445adc0860687de1

874

py

Python

indictrans_crm/customisation.py

prashant03tp/indictrans-crm

d5a8026c52d71d3bd6207beaa1cc9d523f6ccade

[ "MIT" ]

null

indictrans_crm/customisation.py

prashant03tp/indictrans-crm

d5a8026c52d71d3bd6207beaa1cc9d523f6ccade

[ "MIT" ]

null

indictrans_crm/customisation.py

prashant03tp/indictrans-crm

d5a8026c52d71d3bd6207beaa1cc9d523f6ccade

[ "MIT" ]

null

from __future__ import unicode_literals import frappe from frappe import _ from frappe.model.naming import make_autoname import datetime settings = frappe.get_doc("CRM Settings") global_settings = frappe.get_doc("Global Defaults") def set_image(self, method): self.sign = settings.signature self._address = settings...

26.484848

98

0.751716

119

874

5.243697

0.411765

0.05609

0.054487

0.064103

0

0.003866

0.112128

874

33

99

26.484848

0.800258

0

0.083333

0

0.08

0

1

0.208333

false

0.041667

0.208333

0

0.458333

0

null

0

null

0

1

0

1

71554a01373562f4c3ee49db8727c2da17868119

1,882

py

Python

Regression/Linear Regression.py

yanding/Stock-Analysis

0c9d6169095b5b9364a1e456fbaa2dd05c73f1b6

[ "MIT" ]

357

2016-07-29T00:49:53.000Z

2022-03-29T18:04:35.000Z

Regression/Linear Regression.py

wy676579037/Stock-Analysis

2b46bc905956980118820a96d29253f27fc9e1af

[ "MIT" ]

12

2017-05-31T22:18:31.000Z

2021-05-25T01:34:05.000Z

Regression/Linear Regression.py

wy676579037/Stock-Analysis

2b46bc905956980118820a96d29253f27fc9e1af

[ "MIT" ]

103

2017-01-08T22:10:17.000Z

2022-01-26T03:10:41.000Z

# Linear Regression for Stock based on Date # Currently only works for month # http://scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html#example-linear-model-plot-ols-py import csv import numpy as np from sklearn import datasets, linear_model import matplotlib.pyplot as plt close_prices = [] dates = [] ...

24.763158

106

0.709883

299

1,882

4.351171

0.481605

0.076095

0.052267

0.036895

0

0.021645

0.140808

1,882

75

107

25.093333

0.782931

0.167906

0

0.114322

0

null

0

0.08

null

0.1

0

null

0

null

0

1

0

1

715a18347e2a108e4fc47ace129d029e40324a04

6,487

py

Python

Competitions/Competition3/comp3.py

Hegberg/DaffyDackDivision

a63ddade60ee8574294da7dfca8bc8ab6a1b1bc1

[ "Apache-2.0" ]

null

Competitions/Competition3/comp3.py

Hegberg/DaffyDackDivision

a63ddade60ee8574294da7dfca8bc8ab6a1b1bc1

[ "Apache-2.0" ]

null

Competitions/Competition3/comp3.py

Hegberg/DaffyDackDivision

a63ddade60ee8574294da7dfca8bc8ab6a1b1bc1

[ "Apache-2.0" ]

1

2018-01-30T17:07:17.000Z

#!/usr/bin/env python import roslib import rospy import actionlib from actionlib_msgs.msg import * from geometry_msgs.msg import Pose, PoseWithCovarianceStamped, Point, Quaternion, Twist, PoseStamped from move_base_msgs.msg import MoveBaseAction, MoveBaseGoal, MoveBaseActionGoal from tf.transformations import quaterni...

36.857955

135

0.578233

797

6,487

4.553325

0.235885

0.024249

0.02976

0.013227

0.211077

0.131717

0.116285

0.095343

0

0.014049

0.319716

6,487

176

136

36.857955

0.808294

0.211654

0

0.103448

0

0.047553

0

null

0

0.103448

null

0.086207

0

null

0

null

0

1

0

1

715d14efea6c3cf1b0e53f45b0ddd5b6c224cfbe

3,742

py

Python

tests/Crawler/Fs/Image/ExrTest.py

ramgopal99/centipede

0b1dc1f17b025f6b37c9a3cf5753a46cbbcd36ba

[ "MIT" ]

3

2018-05-28T20:56:19.000Z

2018-06-02T15:58:10.000Z

tests/Crawler/Fs/Image/ExrTest.py

ramgopal99/centipede

0b1dc1f17b025f6b37c9a3cf5753a46cbbcd36ba

[ "MIT" ]

2

2018-07-01T07:45:38.000Z

2018-07-11T03:15:35.000Z

tests/Crawler/Fs/Image/ExrTest.py

ramgopal99/centipede

0b1dc1f17b025f6b37c9a3cf5753a46cbbcd36ba

[ "MIT" ]

3

2018-07-10T14:51:13.000Z

2022-03-17T00:39:58.000Z

import os import unittest import glob from ....BaseTestCase import BaseTestCase from centipede.Crawler import Crawler from centipede.PathHolder import PathHolder from centipede.Crawler.Fs.Image import Exr class ExrTest(BaseTestCase): """Test Exr crawler.""" __exrFile = os.path.join(BaseTestCase.dataDirectory(...

41.120879

83

0.663282

392

3,742

6.242347

0.234694

0.116469

0.116878

0.132816

0.409481

0.359624

0.327748

0.230486

0.204332

0.110339

0

0.009393

0.203367

3,742

90

84

41.577778

0.811473

0.089257

0

0.262295

0

0.069547

0

0.42623

1

0.098361

false

0

0.114754

0

0.278689

0

null

0

null

0

1

0

1

71643ced823531e5eecee829ca79ae180e60af62

387

py

Python

day05/myapp/urls_apis_v1.py

zhouqi007/flask1112

0300ec86102ca5bda5c716f66a844b7f9b805069

[ "Apache-2.0" ]

null

day05/myapp/urls_apis_v1.py

zhouqi007/flask1112

0300ec86102ca5bda5c716f66a844b7f9b805069

[ "Apache-2.0" ]

null

day05/myapp/urls_apis_v1.py

zhouqi007/flask1112

0300ec86102ca5bda5c716f66a844b7f9b805069

[ "Apache-2.0" ]

null

from flask_restful import Api from myapp.apis_v1 import * api = Api() def init_api(app): api.init_app(app) # 下面注册各种路由 api.add_resource(NewsOneApi,"/newsone") api.add_resource(TwoApi,"/two") api.add_resource(ThreeApi,"/three/<int:id>") api.add_resource(FourApi,"/four/<int:page>/<int:per_page>") api...

22.764706

60

0.710594

58

387

4.551724

0.517241

0.136364

0.318182

0

0.002933

0.118863

387

16

61

24.1875

0.771261

0.020672

0

0.188366

0.085873

0

1

0.090909

false

0

0.181818

0

0.272727

0

null

0

1

0

null

0

1

7168ca088cbc13759435d370684398e62ef4c1e6

4,633

py

Python

samples/switch-commands/aci-show-vlan-ext.py

richardstrnad/acitoolkit

7e559dbb0b2d22ecf980733d6f8b7c894ecfdbde

[ "Apache-2.0" ]

351

2015-01-15T14:44:36.000Z

2022-03-27T17:06:52.000Z

samples/switch-commands/aci-show-vlan-ext.py

richardstrnad/acitoolkit

7e559dbb0b2d22ecf980733d6f8b7c894ecfdbde

[ "Apache-2.0" ]

215

2015-01-11T07:05:12.000Z

2021-12-12T15:18:10.000Z

samples/switch-commands/aci-show-vlan-ext.py

richardstrnad/acitoolkit

7e559dbb0b2d22ecf980733d6f8b7c894ecfdbde

[ "Apache-2.0" ]

324

2015-01-07T10:03:18.000Z

2022-02-23T21:48:13.000Z

#!/usr/bin/env python """ This application replicates the switch CLI command 'show vlan info' It largely uses raw queries to the APIC API """ from acitoolkit import Credentials, Session from tabulate import tabulate def show_vlan_brief(apic, node_ids): """ show vlan brief :param apic: Session instance log...

37.064

114

0.583207

601

4,633

4.34609

0.237937

0.042879

0.022971

0.424579

0.410796

0.380168

0.339587

0.315084

0.275268

0

0.01127

0.291388

4,633

124

115

37.362903

0.784344

0.014246

0

0.235294

0

0.035294

0.207115

0.067721

0

null

0.023529

null

0.094118

0

null

0

null

0

1

0

1

716c637801125c319bb89f62c8e7693d09fa5488

713

py

Python

pymatgen/analysis/solar/tests/test_slme.py

exenGT/pymatgen

a8ffb820ab8fc3f60251099e38c8888f45eae618

[ "MIT" ]

921

2015-01-25T22:17:05.000Z

2022-03-27T20:58:38.000Z

pymatgen/analysis/solar/tests/test_slme.py

exenGT/pymatgen

a8ffb820ab8fc3f60251099e38c8888f45eae618

[ "MIT" ]

1,631

2015-01-05T21:05:04.000Z

2022-03-31T18:40:17.000Z

pymatgen/analysis/solar/tests/test_slme.py

exenGT/pymatgen

a8ffb820ab8fc3f60251099e38c8888f45eae618

[ "MIT" ]

851

2015-01-01T17:38:00.000Z

2022-03-31T02:14:07.000Z

import os import unittest import warnings from pymatgen.analysis.solar.slme import optics, slme from pymatgen.util.testing import PymatgenTest class SolarTest(PymatgenTest): _multiprocess_shared_ = True def setUp(self): warnings.simplefilter("ignore") def tearDown(self): warnings.simple...

25.464286

75

0.697055

86

713

5.546512

0.593023

0.050314

0.100629

0

0.038529

0.199158

713

27

76

26.407407

0.796848

0

0.044881

0

0.052632

1

0.157895

false

0

0.263158

0

0.526316

0

null

0

null

0

1

0

1

717063607c34d89d7e7aa0c4df371de86dbd5df2

1,170

py

Python

flumine/order/responses.py

mberk/flumine

6216bcc233326cf07852fca9c7d39a18cee265ad

[ "MIT" ]

77

2017-12-09T07:10:18.000Z

2022-03-03T09:50:35.000Z

flumine/order/responses.py

mberk/flumine

6216bcc233326cf07852fca9c7d39a18cee265ad

[ "MIT" ]

423

2017-01-21T07:26:51.000Z

2022-03-04T11:13:54.000Z

flumine/order/responses.py

mberk/flumine

6216bcc233326cf07852fca9c7d39a18cee265ad

[ "MIT" ]

47

2017-04-22T17:31:41.000Z

2022-01-11T08:52:37.000Z

import datetime from typing import Optional class Responses: """Order responses""" def __init__(self): self.date_time_created = datetime.datetime.utcnow() self.current_order = None # resources.CurrentOrder self.place_response = None # resources.PlaceOrderInstructionReports s...

30.789474

76

0.664103

129

1,170

5.775194

0.286822

0.06443

0.080537

0.096644

0

0.247009

1,170

37

77

31.621622

0.84563

0.066667

0

1

0.214286

false

0

0.071429

0

0.392857

0

null

0

null

0

1

0

1

7170c83f7b60e74e054aa9ea58df5429cdc77147

7,642

py

Python

segmentation/datasets/common_seg_datasets.py

jianliang90/MedCommon

961384c7387cf8307275752d6399c6f9c8ce227c

[ "MIT" ]

1

2021-12-16T15:06:59.000Z

segmentation/datasets/common_seg_datasets.py

jianliang90/MedCommon

961384c7387cf8307275752d6399c6f9c8ce227c

[ "MIT" ]

null

segmentation/datasets/common_seg_datasets.py

jianliang90/MedCommon

961384c7387cf8307275752d6399c6f9c8ce227c

[ "MIT" ]

null

import os import numpy as np import SimpleITK as sitk from tqdm import tqdm from glob import glob import torch import torch.nn from torch.utils.data import Dataset, DataLoader import sys COMMON_ROOT = os.path.join(os.path.dirname(os.path.abspath(__file__)), os.path.pardir, os.path.pardir) print(COMMON_ROOT) sys.pat...

40.433862

102

0.654933

1,216

7,642

4.041118

0.182566

0.045788

0.03256

0.052096

0.505495

0.448921

0.429792

0.403337

0.349003

0

0.223929

0.199424

7,642

189

103

40.433862

0.556554

0.025779

0

0.096154

0

0.070789

0.030716

0

1

0.057692

false

0

0.134615

0.009615

0.221154

0.038462

0

null

0

1

0

null

0

1

71733a9afa3f8be6cc44fbe09e83672d91c428e1

587

py

Python

hummingbot/core/data_type/order_book_row.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

3,027

2019-04-04T18:52:17.000Z

2022-03-30T09:38:34.000Z

hummingbot/core/data_type/order_book_row.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

4,080

2019-04-04T19:51:11.000Z

2022-03-31T23:45:21.000Z

hummingbot/core/data_type/order_book_row.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

1,342

2019-04-04T20:50:53.000Z

2022-03-31T15:22:36.000Z

#!/usr/bin/env python from collections import namedtuple from decimal import Decimal class OrderBookRow(namedtuple("_OrderBookRow", "price, amount, update_id")): """ Used to apply changes to OrderBook. OrderBook classes uses float internally for better performance over Decimal. """ price: float a...

25.521739

116

0.717206

69

587

6.014493

0.521739

0.077108

0.13012

0.159036

0.216867

0

0.197615

587

22

117

26.681818

0.881104

0.349233

0

0.2

0

0.210826

0

1

0

true

0

0.2

0

1

0

null

0

null

0

1

0

1

71761c162859d78ef88e98f0e4a53f3d7e032c39

466

py

Python

code_all/day08/exercise02.py

testcg/python

4db4bd5d0e44af807d2df80cf8c8980b40cc03c4

[ "MIT" ]

null

code_all/day08/exercise02.py

testcg/python

4db4bd5d0e44af807d2df80cf8c8980b40cc03c4

[ "MIT" ]

null

code_all/day08/exercise02.py

testcg/python

4db4bd5d0e44af807d2df80cf8c8980b40cc03c4

[ "MIT" ]

null

""" 练习1：定义函数,在终端中打印一维列表. list01 = [5, 546, 6, 56, 76, ] for item in list01: print(item) list02 = [7,6,879,9,909,] for item in list02: print(item) """ # 做(一种行为) def print_single_list(list_target): """ 在终端中打印列表元素 :param list_target: list类型的需要打印的数据 """ for item i...

16.642857

40

0.577253

67

466

3.880597

0.432836

0.080769

0.103846

0.084615

0.184615

0.115385

0

0.144543

0.272532

466

27

41

17.259259

0.622419

0.450644

0

1

0.166667

false

0

0.166667

0.666667

0

null

0

null

0

1

0

1

717b4c2238e1cfb7743f6debe57af72a928cbbf8

5,328

py

Python

ThinkMatch/models/PCA/affinity_layer.py

hpi-sam/gnn_graph_counting_query_matching

2ea24d6f8c4b1cdbeeaedb5d8f5a537caff621f8

[ "MIT" ]

null

ThinkMatch/models/PCA/affinity_layer.py

hpi-sam/gnn_graph_counting_query_matching

2ea24d6f8c4b1cdbeeaedb5d8f5a537caff621f8

[ "MIT" ]

null

ThinkMatch/models/PCA/affinity_layer.py

hpi-sam/gnn_graph_counting_query_matching

2ea24d6f8c4b1cdbeeaedb5d8f5a537caff621f8

[ "MIT" ]

1

2022-01-07T16:00:57.000Z

import torch import torch.nn as nn from torch.nn.parameter import Parameter from torch import Tensor import math class Affinity(nn.Module): """ Affinity Layer to compute the affinity matrix from feature space. M = X * A * Y^T Parameter: scale of weight d Input: feature X, Y Output: affinity ma...

30.62069

110

0.567568

786

5,328

3.746819

0.133588

0.050934

0.036672

0.019015

0.76129

0.720543

0.664856

0.633277

0.626486

0.533447

0

0.018632

0.294857

5,328

173

111

30.797688

0.765238

0.173236

0

0.559322

0

0.059322

1

0.135593

false

0

0.042373

0

0.279661

0

null

0

1

0

null

0

1

718f73d5ab0b02031d515998a7ed1b949287645b

10,127

py

Python

face_recognition/DeepID.py

Mr-KouZhe/zhenzhwegn

2b96b66cbe59790b9ca1e5a2d8a355dc4ec76251

[ "MIT" ]

null

face_recognition/DeepID.py

Mr-KouZhe/zhenzhwegn

2b96b66cbe59790b9ca1e5a2d8a355dc4ec76251

[ "MIT" ]

null

face_recognition/DeepID.py

Mr-KouZhe/zhenzhwegn

2b96b66cbe59790b9ca1e5a2d8a355dc4ec76251

[ "MIT" ]

null

#!/usr/bin/env python #-*- coding:utf-8 -*- ''' Create on Tues 2016-7-24 @author: ForrestPi ''' #运行前,先将caffe安装好,放在～/caffe import os class DeepID(): #基本属性 prj=''#项目名称 caffepath=''#caffe主目录路径 prjpath=''#工程的位置 datapath=''#数据的路径 num=0#人数多少 # ratio=0#训练数:测试 # max_iter=0#迭代次数(用于lfw验证) # s...

32.87987

180

0.586057

1,229

10,127

4.585028

0.175753

0.039752

0.038332

0.025555

0.513931

0.457675

0.446318

0.414197

0

0.008844

0.240743

10,127

307

181

32.986971

0.724021

0.08739

0

0.397959

0

0.005102

0.157306

0.023264

0

null

0

0.005102

null

0.010204

0

null

0

null

0

1

0

1

71942877eb9e3f6c5130e979c93423e86cc76515

1,242

py

Python

service/tests/test_db.py

bisirkin-pv/jokes

b4b724d3cc88d7664a63eb7b55dcad96b1289598

[ "MIT" ]

1

2018-09-23T12:28:02.000Z

service/tests/test_db.py

bisirkin-pv/jokes

b4b724d3cc88d7664a63eb7b55dcad96b1289598

[ "MIT" ]

null

service/tests/test_db.py

bisirkin-pv/jokes

b4b724d3cc88d7664a63eb7b55dcad96b1289598

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- import unittest from service.src.utility.db.DataBase import DataBase from service.src.utility.PropertyReader import PropertyReader from service.src.utility.db.Handler import Handler class TestDatabase(unittest.TestCase): def setUp(self): db = DataBase(PropertyRead...

33.567568

71

0.679549

151

1,242

5.443709

0.324503

0.068127

0.051095

0.076642

0.408759

0.29927

0.231144

0.172749

0

0.001011

0.203704

1,242

36

72

34.5

0.830131

0.030596

0

0.185185

0

0.134775

0.022463

0

0.148148

1

0.222222

false

0

0.148148

0

0.407407

0

null

0

null

0

1

0

1

7194d4507e32f15c4f732708d96067553bc4ba11

915

py

Python

test/test_tokens.py

robbm1/pyleri

4af16774ceb05454e5e4bdf885b6ae6404e8b884

[ "MIT" ]

106

2016-02-24T12:17:48.000Z

2021-11-04T18:07:32.000Z

test/test_tokens.py

robbm1/pyleri

4af16774ceb05454e5e4bdf885b6ae6404e8b884

[ "MIT" ]

15

2016-10-24T10:32:31.000Z

2021-11-26T14:21:46.000Z

test/test_tokens.py

robbm1/pyleri

4af16774ceb05454e5e4bdf885b6ae6404e8b884

[ "MIT" ]

12

2017-02-27T12:58:50.000Z

2020-02-14T14:58:30.000Z

import unittest import os import sys if os.environ.get('USELIB') != '1': sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..')) from pyleri import ( KeywordError, create_grammar, Tokens, ) # nopep8 class TestTokens(unittest.TestCase): def test_tokens(self): spaced = '== != >=...

26.142857

69

0.581421

96

915

5.333333

0.4375

0.140625

0.136719

0.185547

0.333984

0

0.005755

0.240437

915

34

70

26.911765

0.730935

0.006557

0

0.114664

0

0.259259

1

0.037037

false

0

0.148148

0

0.222222

0

null

0

1

0

null

0

1

71989f41ec7f2c247b2345005aa04cede6363d98

6,692

py

Python

bnpy/birthmove/zzzdeprecated/BLogger.py

HongminWu/bnpy

04c918cc1150ca8d9694c093633d539d9286a1b6

[ "BSD-3-Clause" ]

3

2018-07-02T03:50:23.000Z

2019-05-16T03:23:55.000Z

bnpy/birthmove/zzzdeprecated/BLogger.py

HongminWu/bnpy

04c918cc1150ca8d9694c093633d539d9286a1b6

[ "BSD-3-Clause" ]

1

2021-01-07T01:33:06.000Z

bnpy/birthmove/zzzdeprecated/BLogger.py

birlrobotics/bnpy

8f297d8f3e4a56088d7755134c329f63a550be9e

[ "BSD-3-Clause" ]

1

2020-09-01T13:21:18.000Z

import logging import os import sys import numpy as np Log = None def pprint1Darr( arr, fmt='%.1f', nIndentSpaces=0, linewidth=80, label=None, returnStr=0, returnMaxLen=0): ''' Pretty print a 1D array Examples -------- >>> pprint1Darr([1, 2, 3], fmt='%.1f') 1.0 2.0 3.0 >>> pp...

30.418182

77

0.572475

818

6,692

4.662592

0.270171

0.018353

0.038018

0.031463

0.25957

0.207394

0.156529

0.134767

0.079182

0

0.051126

0.289749

6,692

219

78

30.557078

0.751315

0.060968

0

0.2875

0

0.078463

0.003788

0.00625

0

0.00625

0

null

0

0.025

null

0.10625

0

null

0

null

0

1

0

1

719b9cfb4a2b0b81feebf27f96fe1d9a19bdedb5

10,352

py

Python

tests/unit/test_charm.py

canonical/postgresql-operator

25a1d9cce775a35ee7660d36c545b6632550420f

[ "Apache-2.0" ]

2

2021-10-30T03:48:40.000Z

2022-02-09T11:20:47.000Z

tests/unit/test_charm.py

canonical/postgresql-operator

25a1d9cce775a35ee7660d36c545b6632550420f

[ "Apache-2.0" ]

1

2022-03-29T13:26:48.000Z

tests/unit/test_charm.py

canonical/postgresql-operator

25a1d9cce775a35ee7660d36c545b6632550420f

[ "Apache-2.0" ]

2

2021-11-12T12:43:35.000Z

2021-12-08T13:35:21.000Z

# Copyright 2021 Canonical Ltd. # See LICENSE file for licensing details. import re import subprocess import unittest from unittest.mock import Mock, patch from charms.operator_libs_linux.v0 import apt from ops.model import ActiveStatus, BlockedStatus, WaitingStatus from ops.testing import Harness from charm import ...

43.864407

97

0.709235

1,219

10,352

5.73831

0.164069

0.034739

0.046176

0.031451

0.590279

0.568835

0.513081

0.465904

0.423016

0.392566

0

0.00352

0.204212

10,352

235

98

44.051064

0.845594

0.171271

0

0.42236

0

0.146036

0.102003

0

0.279503

1

0.074534

false

0.192547

0.055901

0

0.136646

0

null

0

null

0

1

0

1

719bb9c830c8e5d4d5dd1bb8c61dbf86f3ffa6d2

1,639

py

Python

app/operations.py

superjkl/Webscrapbook-Sort

571cf792c8d517408340b7a443a28c79f1555568

[ "Unlicense" ]

null

app/operations.py

superjkl/Webscrapbook-Sort

571cf792c8d517408340b7a443a28c79f1555568

[ "Unlicense" ]

null

app/operations.py

superjkl/Webscrapbook-Sort

571cf792c8d517408340b7a443a28c79f1555568

[ "Unlicense" ]

null

from natsort import natsorted, ns from app.tree import TocTree, traverseTree from app.data import Toc, Metadata, getFolderTitle, getFolderId, isFolderByTitle, isFolderById, writeToc # printing folders ############################################################################### def printFolders(): def print_folde...

32.137255

104

0.585723

170

1,639

5.552941

0.405882

0.082627

0.034958

0.063559

0.050847

0

0.000705

0.134838

1,639

50

105

32.78

0.665021

0.064063

0

0.038779

0

1

0.214286

false

0

0.107143

0

0.357143

0.178571

0

null

0

null

0

1

0

1

719deb692ddea44f1dd6f777865cda27f890346e

3,655

py

Python

profiler/src/openmetadata/common/config.py

naveen09/OpenMetadata

e4fa0247f5db8094dfd156f13fdcc5ffcd120e74

[ "Apache-2.0" ]

null

profiler/src/openmetadata/common/config.py

naveen09/OpenMetadata

e4fa0247f5db8094dfd156f13fdcc5ffcd120e74

[ "Apache-2.0" ]

null

profiler/src/openmetadata/common/config.py

naveen09/OpenMetadata

e4fa0247f5db8094dfd156f13fdcc5ffcd120e74

[ "Apache-2.0" ]

null

# 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 # distributed under the...

29.24

84

0.676607

441

3,655

5.489796

0.362812

0.053697

0.021479

0.021066

0.140851

0.086328

0.073523

0

0.002155

0.238304

3,655

124

85

29.475806

0.867457

0.195622

0

0.141026

0

0.058156

0

0.012821

1

0.115385

false

0.012821

0.115385

0.025641

0.551282

0

null

0

null

0

1

0

1

71a7a08d6e4a52b03709679a167a24d0aeab6942

735

py

Python

experiment/graph.py

ShaoDan/PyEGT

9313a6d12ecb5078081c8b2bd05b1c0716f9bd87

[ "Apache-2.0" ]

9

2020-02-13T18:07:59.000Z

2022-03-20T02:29:26.000Z

experiment/graph.py

ShaoDan/PyEGT

9313a6d12ecb5078081c8b2bd05b1c0716f9bd87

[ "Apache-2.0" ]

1

2021-04-23T11:25:13.000Z

experiment/graph.py

ShaoDan/PyEGT

9313a6d12ecb5078081c8b2bd05b1c0716f9bd87

[ "Apache-2.0" ]

4

2018-12-23T12:36:57.000Z

2021-09-03T02:40:26.000Z

# -*- coding: utf-8 -*- import networkx as nx import matplotlib.pyplot as plt # transMat=np.zeros(shape=(3,3)) # transMat[0][0]=0.5 # transMat[0][1]=0.5 # transMat[1][1]=0.5 # transMat[1][2]=0.5 # transMat[2][0]=0.25 # transMat[2][2]=0.75 # dist=[1,0,0] # # Choose an initial distribution; all cooperators # for i in x...

22.96875

51

0.687075

129

735

3.875969

0.496124

0.016

0.08

0.044

0.048

0

0.066142

0.136054

735

32

52

22.96875

0.72126

0.504762

0

0.011561

0

null

0

0.181818

null

0.272727

0

null

0

null

0

1

0

1

71aa0ec97d1208ee252cdce1ab74755453c4d228

1,011

py

Python

hard-gists/7524815/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

21

2019-07-08T08:26:45.000Z

2022-01-24T23:53:25.000Z

hard-gists/7524815/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

5

2019-06-15T14:47:47.000Z

2022-02-26T05:02:56.000Z

hard-gists/7524815/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

17

2019-05-16T03:50:34.000Z

2021-01-14T14:35:12.000Z

#! /usr/bin/python ##################### # GPS-TIME-SYNC # # 2013 flazer # # info@flazer.net # ##################### # Connects to your GPS-Dongle and synchronize systemtime with GPS-UTC-time. # Handles local-timezones import os import sys from gps import * from datetime import datetime from pytz import ...

25.923077

171

0.636993

148

1,011

4.344595

0.540541

0.087092

0.093313

0

0.027251

0.165183

1,011

39

172

25.923077

0.734597

0.194857

0

0.086957

0

0.183486

0

null

0

0.217391

null

0.173913

0

null

0

null

0

1

0

1

71acddc47ef4d0f5161b9e2639d05cadf3abdfde

4,709

py

Python

manage.py

defhook/flask-blog

157f910a5dd85158e8aaea314a5143fd59f6a399

[ "MIT" ]

1

2017-04-27T09:05:14.000Z

manage.py

defhook/flask-blog

157f910a5dd85158e8aaea314a5143fd59f6a399

[ "MIT" ]

null

manage.py

defhook/flask-blog

157f910a5dd85158e8aaea314a5143fd59f6a399

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function, unicode_literals, absolute_import from flask_migrate import MigrateCommand, Migrate from flask_script import Manager, Shell from app import app from app.extensions import db from app.blog.models import User, Role, Post, Category from ...

35.674242

90

0.635167

591

4,709

4.94247

0.267343

0.04519

0.024649

0.034235

0.105101

0.080794

0

0.001921

0.226163

4,709

131

91

35.946565

0.799671

0.052877

0

0.069307

0

0.132194

0

1

0.069307

false

0.059406

0.118812

0.009901

0.207921

0.009901

0

null

0

null

0

1

0

1

71ad74b679621c6251c6d9ec48ae367315327fbe

3,437

py

Python

src/splunk-es/threat_intelligence_endpoints.py

woodonggyu/splunk-rest-api

c01812a230e0867df3430b9ec280d6610eb54cf2

[ "MIT" ]

null

src/splunk-es/threat_intelligence_endpoints.py

woodonggyu/splunk-rest-api

c01812a230e0867df3430b9ec280d6610eb54cf2

[ "MIT" ]

null

src/splunk-es/threat_intelligence_endpoints.py

woodonggyu/splunk-rest-api

c01812a230e0867df3430b9ec280d6610eb54cf2

[ "MIT" ]

null

#!/usr/bin/env python import os from base64 import b64encode from typing import Union from urllib.parse import urljoin from src.bind import Splunk class ThreatIntelligenceEndpoints(Splunk): """""" def __init__(self): """""" pass def upload_a_threat_intelligence(self, filename: str, thre...

42.432099

131

0.579284

389

3,437

5.028278

0.339332

0.064417

0.03681

0.042945

0.364008

0.331288

0.277096

0

0.003584

0.350596

3,437

80

132

42.9625

0.87276

0.532441

0

0.290323

0

0.001435

0

1

0.193548

false

0.16129

0

0.387097

0

null

0

null

0

1

0

1

71ad8709a8af0cab939fc5af0929cff032d94138

1,467

py

Python

src/sterch/scrapingtools/synclist.py

maxpmaxp/sterch.scrapingtools

7bae86611e07d969622a84e093f94d939c7279c0

[ "ZPL-2.1" ]

null

src/sterch/scrapingtools/synclist.py

maxpmaxp/sterch.scrapingtools

7bae86611e07d969622a84e093f94d939c7279c0

[ "ZPL-2.1" ]

1

2017-12-14T06:43:37.000Z

src/sterch/scrapingtools/synclist.py

maxpmaxp/sterch.scrapingtools

7bae86611e07d969622a84e093f94d939c7279c0

[ "ZPL-2.1" ]

null

### -*- coding: utf-8 -*- ############################################# # Developed by Maksym Polshcha (maxp@sterch.net) # All right reserved, 2012 ####################################################################### """Text processing functions """ from threading import RLock class DuplicateValueError(...

35.780488

86

0.522154

132

1,467

5.5

0.515152

0.077135

0.082645

0.066116

0

0.004789

0.288344

1,467

41

87

35.780488

0.690613

0.064076

0

0.230769

0

0.079612

0

null

0

0.038462

null

0

null

0

null

0

1

0

1

71b3f7b1e68efa7dbba9b6d5119188392823dd9e

1,099

bzl

Python

tools/simple_jar.bzl

3flex/dagger

350368e62af7432ab431fc959366ca11d1c2caf0

[ "Apache-2.0" ]

1

2019-12-14T10:09:54.000Z

tools/simple_jar.bzl

3flex/dagger

350368e62af7432ab431fc959366ca11d1c2caf0

[ "Apache-2.0" ]

null

tools/simple_jar.bzl

3flex/dagger

350368e62af7432ab431fc959366ca11d1c2caf0

[ "Apache-2.0" ]

null

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

34.34375

92

0.66515

160

1,099

4.54375

0.6125

0.082531

0.035763

0.044017

0.041265

0

0.009445

0.229299

1,099

31

93

35.451613

0.848878

0.679709

0

0.318043

0

0.032258

0

1

0.090909

false

0

0.090909

0

null

0

null

0

1

0

1

71b841623b5a263f7ebaac1990a4e646a556f996

211

py

Python

x86/flower_classification_input_fn.py

gewuek/flower_classification_vai_tf_numpyarray

3e7099609ce7059be189ec77c5b42b0ae3fca911

[ "MIT" ]

7

2019-11-14T03:00:59.000Z

2020-07-26T17:27:16.000Z

x86/flower_classification_input_fn.py

gewuek/flower_classification_vai_tf_numpyarray

3e7099609ce7059be189ec77c5b42b0ae3fca911

[ "MIT" ]

1

2020-06-25T14:08:22.000Z

2020-08-15T01:42:23.000Z

x86/flower_classification_input_fn.py

gewuek/flower_classification_vai_tf_numpyarray

3e7099609ce7059be189ec77c5b42b0ae3fca911

[ "MIT" ]

4

2019-12-06T17:25:22.000Z

2020-07-30T15:39:57.000Z

#import cv2 import numpy as np #import os #import tensorflow as tf #from tensorflow import keras def calib_input(iter): X = np.load("features.npy") / 255.0 images = X[:100] return {"conv2d_input": images}

16.230769

36

0.71564

34

211

4.382353

0.705882

0

0.051136

0.165877

211

12

37

17.583333

0.795455

0.331754

0

0.176471

0

1

0.2

false

0

0.2

0

0.6

0

null

0

null

0

1

0

1

71ba70804223426553ecf71a032d8fca96b9456b

15,340

py

Python

src/yujin_tools/make.py

YujinRobotJaehaKim/yujin_tools

7a95c83af48a8373d87713b70efc26dde7cc018c

[ "BSD-3-Clause" ]

8

2016-04-07T15:44:06.000Z

2019-06-04T07:02:32.000Z

src/yujin_tools/make.py

YujinRobotJaehaKim/yujin_tools

7a95c83af48a8373d87713b70efc26dde7cc018c

[ "BSD-3-Clause" ]

76

2015-04-10T04:51:02.000Z

2018-10-16T02:17:05.000Z

src/yujin_tools/make.py

YujinRobotJaehaKim/yujin_tools

7a95c83af48a8373d87713b70efc26dde7cc018c

[ "BSD-3-Clause" ]

20

2015-05-17T08:35:30.000Z

2021-03-30T07:09:20.000Z

############################################################################## # Imports ############################################################################## #import os import os.path import re import sys #import stat # file permissions import argparse #from argparse import RawTextHelpFormatter #import tem...

47.788162

266

0.67073

2,059

15,340

4.801846

0.183584

0.037423

0.019217

0.021139

0.304744

0.227369

0.177708

0.151209

0.139982

0.112572

0

0.000326

0.199674

15,340

320

267

47.9375

0.805001

0.112125

0

0.165919

0

0.03139

0.240999

0.014011

0

null

0.013453

0.071749

null

0.040359

0

null

0

null

0

1

0

1

71bc0043babb720e2ec0c3e717ab861b1a5eac40

6,916

py

Python

scripts/artifacts/wifiProfiles.py

mastenp/ALEAPP

b8ac061b82d5e6df7953331cf7bb7165f7552d84

[ "MIT" ]

1

2020-10-06T20:28:16.000Z

scripts/artifacts/wifiProfiles.py

mastenp/ALEAPP

b8ac061b82d5e6df7953331cf7bb7165f7552d84

[ "MIT" ]

null

scripts/artifacts/wifiProfiles.py

mastenp/ALEAPP

b8ac061b82d5e6df7953331cf7bb7165f7552d84

[ "MIT" ]

null

import os import xml.etree.ElementTree as ET import textwrap import datetime import sqlite3 from scripts.artifact_report import ArtifactHtmlReport from scripts.ilapfuncs import logfunc, tsv, is_platform_windows def get_wifiProfiles(files_found, report_folder, seeker): #Create sqlite databases db ...

41.662651

248

0.482071

498

6,916

6.624498

0.230924

0.018187

0.023644

0.040012

0.3301

0.287663

0.253107

0.124886

0

0.009153

0.431319

6,916

166

249

41.662651

0.829647

0.045113

0

0.285714

0

0.015873

0.145788

0.005129

0

1

0.007937

false

0.126984

0.055556

0

0.063492

0

null

0

null

0

1

0

1

71bf66458da70a5619056232b7bbd1b8f4df0480

11,418

py

Python

ui/pypesvds/lib/extras/pdflib/pycdb.py

onfire73/pypeskg

2171d0141e184999ba03c3e535ecc9bfddef10be

[ "Apache-2.0" ]

117

2015-02-28T15:38:11.000Z

2022-02-12T16:08:41.000Z

ui/pypesvds/lib/extras/pdflib/pycdb.py

onfire73/pypeskg

2171d0141e184999ba03c3e535ecc9bfddef10be

[ "Apache-2.0" ]

1

2015-10-07T19:59:52.000Z

ui/pypesvds/lib/extras/pdflib/pycdb.py

onfire73/pypeskg

2171d0141e184999ba03c3e535ecc9bfddef10be

[ "Apache-2.0" ]

41

2015-06-11T09:32:14.000Z

2018-09-17T03:10:23.000Z

#!/usr/bin/env python # # pycdb.py - Python implementation of cdb and tcdb # # by Yusuke Shinyama # * public domain * # import sys, os from struct import pack, unpack from array import array # calc hash value with a given key def cdbhash(s, n=5381L): return reduce(lambda h,c: ((h*33) ^ ord(c)) & 0xffffffffL, ...

23.887029

87

0.561482

1,712

11,418

3.638435

0.141355

0.036603

0.016054

0.010114

0.451276

0.376786

0.33328

0.299245

0.257826

0.250923

0

0.023217

0.268173

11,418

477

88

23.937107

0.722236

0.04309

0

0.412533

0

0.039504

0.004593

0

0.000367

0

null

0.002611

0.015666

null

0.020888

0

null

0

null

0

1

0

1

71c128e9684f832cbb67b8a0df4d9e011d36fb2c

11,495

py

Python

not currently in use/clumprof.py

anewmark/galaxy_dark_matter

b5261e4e413d3a18a45a19e92f7545adc408878a

[ "MIT" ]

null

not currently in use/clumprof.py

anewmark/galaxy_dark_matter

b5261e4e413d3a18a45a19e92f7545adc408878a

[ "MIT" ]

null

not currently in use/clumprof.py

anewmark/galaxy_dark_matter

b5261e4e413d3a18a45a19e92f7545adc408878a

[ "MIT" ]

null

print('This program should plot average flux vs. aperture size for different bands') indir='/Users/amandanewmark/repositories/galaxy_dark_matter/GAH/' outdir='/Users/amandanewmark/repositories/galaxy_dark_matter/lumprofplots/clumps/' if not os.path.exists(outdir): os.mkdir(outdir) import numpy as np import math impor...

39.098639

455

0.732231

1,754

11,495

4.669327

0.13854

0.06044

0.039316

0.05641

0.73956

0.726007

0.695482

0.667521

0.598413

0

0.030565

0.083515

11,495

294

456

39.098639

0.746844

0.037582

0

0.490196

0

0.258518

0.098405

0

1

0

false

0

0.035294

0

0.035294

0.039216

0

null

0

1

0

null

0

1

71c1808a5f80ded9d6de25d7de1aa65a7f2053a7

630

py

Python

djangocms_bootstrap4/contrib/bootstrap4_grid/migrations/0004_bootstrap4gridrow_layout.py

compoundpartners/js-bootstrap4

2b7e35ee476b6cc149448752aab5fbd605d92afb

[ "BSD-3-Clause" ]

null

djangocms_bootstrap4/contrib/bootstrap4_grid/migrations/0004_bootstrap4gridrow_layout.py

compoundpartners/js-bootstrap4

2b7e35ee476b6cc149448752aab5fbd605d92afb

[ "BSD-3-Clause" ]

1

2018-12-12T10:52:07.000Z

djangocms_bootstrap4/contrib/bootstrap4_grid/migrations/0004_bootstrap4gridrow_layout.py

compoundpartners/js-bootstrap4

2b7e35ee476b6cc149448752aab5fbd605d92afb

[ "BSD-3-Clause" ]

1

2018-12-12T09:40:11.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.20 on 2019-05-14 08:09 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('bootstrap4_grid', '0003_auto_20190306_0943'), ] operations = [ migrations....

30

211

0.633333

70

630

5.514286

0.785714

0.051813

0

0.078471

0.211111

630

20

212

31.5

0.698189

0.109524

0

1

0

0.229391

0.041219

0

1

0

false

0

0.153846

0

0.384615

0

null

0

1

0

null

0

1

71c49f5d187c08485e970443525dea0070359c38

392

py

Python

Scripts/cpplint-script.py

TencentCodeDog/win-Python-v3.7.0

72275357ffaa349bd4eb65242551c3dd09546367

[ "bzip2-1.0.6" ]

null

Scripts/cpplint-script.py

TencentCodeDog/win-Python-v3.7.0

72275357ffaa349bd4eb65242551c3dd09546367

[ "bzip2-1.0.6" ]

null

Scripts/cpplint-script.py

TencentCodeDog/win-Python-v3.7.0

72275357ffaa349bd4eb65242551c3dd09546367

[ "bzip2-1.0.6" ]

null

#!F:\App\Python37\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'cpplint==1.3.0','console_scripts','cpplint' __requires__ = 'cpplint==1.3.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit( l...

30.153846

74

0.663265

59

392

4.084746

0.542373

0.099585

0.112033

0.124481

0.257261

0

0.038012

0.127551

392

12

75

32.666667

0.666667

0.252551

0

0.278351

0.079038

0

1

0

false

0

0.333333

0

0.333333

0

null

0

null

0

1

0

1

71c52c77a63f2890b8bd9099d8cd17455fe807fb

1,964

py

Python

src/transformers/configuration_linformer.py

belindal/transformers

482aef06987187d30449bf4af70c40c7b10d8933

[ "Apache-2.0" ]

null

src/transformers/configuration_linformer.py

belindal/transformers

482aef06987187d30449bf4af70c40c7b10d8933

[ "Apache-2.0" ]

null

src/transformers/configuration_linformer.py

belindal/transformers

482aef06987187d30449bf4af70c40c7b10d8933

[ "Apache-2.0" ]

null

# coding=utf_8 # Copyright 2020 The Allen Institute for AI team and The HuggingFace Inc. team. # # 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...

35.709091

97

0.715886

257

1,964

5.268482

0.51751

0.070901

0.026588

0.067947

0.06647

0

0.00853

0.224033

1,964

54

98

36.37037

0.879921

0.540733

0

0.011097

0

0.018519

0

1

0.045455

false

0

0.136364

0

0.272727

0

null

0

null

0

1

0

1

71c58bd637aead7275ecf663067a3cd373d37365

3,982

py

Python

applications/alumniprofile/views.py

samay-rgb/alumni

f147ca04c3b9e24307321df5f26e9f7db26fefe3

[ "MIT" ]

5

2019-01-25T07:46:58.000Z

2019-06-25T06:11:03.000Z

applications/alumniprofile/views.py

samay-rgb/alumni

f147ca04c3b9e24307321df5f26e9f7db26fefe3

[ "MIT" ]

10

2019-12-14T06:08:30.000Z

2022-03-13T16:01:05.000Z

applications/alumniprofile/views.py

samay-rgb/alumni

f147ca04c3b9e24307321df5f26e9f7db26fefe3

[ "MIT" ]

10

2019-10-06T13:45:25.000Z

2022-02-10T17:33:39.000Z

from django.shortcuts import render, redirect from django.contrib.auth.decorators import login_required from django.http import HttpResponseRedirect from .models import Constants, Degree, Education, Profile, PastExperience from datetime import datetime try: from collections.abc import defaultdict except ImportErro...

36.2

166

0.699648

459

3,982

5.912854

0.215686

0.05269

0.061901

0.039794

0.226234

0.188651

0.167281

0.132646

0.0479

0

0.182069

3,982

110

167

36.2

0.833282

0.017077

0

0.15873

0

0.132644

0.023338

0

1

0.079365

false

0.079365

0.126984

0

0.285714

0.015873

0

null

0

null

0

1

0

1

71cc37ebb3aac541b80c847d314aa724c015db2a

47,103

py

Python

app.py

mgruppi/interface_v2

505f49d2c530e3b239a271f569e9fce6f4838afe

[ "MIT" ]

null

app.py

mgruppi/interface_v2

505f49d2c530e3b239a271f569e9fce6f4838afe

[ "MIT" ]

null

app.py

mgruppi/interface_v2

505f49d2c530e3b239a271f569e9fce6f4838afe

[ "MIT" ]

null

import dotenv, commands, json, os from getenv import env from requests import get, put, post, codes from urllib import urlencode, urlopen from flask import ( Flask, request, render_template, url_for, redirect, request, jsonify, flash, session ) from flask_mail import Mail, Message f...

44.478754

182

0.605736

5,531

47,103

5.026035

0.097451

0.036332

0.02626

0.026188

0.5552

0.511349

0.470125

0.409547

0.36638

0.356991

0

0.006085

0.239433

47,103

1,059

183

44.478754

0.769881

0.117806

0

0.418835

0

0.001239

0.242638

0.013763

0

null

0.017348

0.009913

null

0.04461

0

null

0

null

0

1

0

1

71cc46fcb9bfb454faad5e7d2cb2f1218fb5e37a

37,365

py

Python

braincode/vim2/main.py

sealhuang/brainCodingToolbox

8bab8bba4d41536a5b9a0b0048891991f3a6a1b3

[ "BSD-3-Clause" ]

null

braincode/vim2/main.py

sealhuang/brainCodingToolbox

8bab8bba4d41536a5b9a0b0048891991f3a6a1b3

[ "BSD-3-Clause" ]

null

braincode/vim2/main.py

sealhuang/brainCodingToolbox

8bab8bba4d41536a5b9a0b0048891991f3a6a1b3

[ "BSD-3-Clause" ]

null

# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- # vi: set ft=python sts=4 ts=4 sw=4 et: import os import numpy as np import tables from scipy import ndimage from scipy.misc import imsave from sklearn.cross_decomposition import PLSCanonical from braincode.util import configParser from brainco...

43.29664

82

0.633373

5,887

37,365

3.727535

0.103109

0.027889

0.045571

0.030623

0.537732

0.470379

0.424672

0.367845

0.299535

0.263945

0

0.038564

0.228289

37,365

862

83

43.346868

0.722455

0.482457

0

0.25

0

0.064498

0.011408

0

0.00116

0

null

0

0.050562

null

0.070225

0

null

0

null

0

1

0

1

71cca02118243bad8ca4cf2b3ffbb8d15fdad7c5

23,016

py

Python

evm4eosiotest/evm.py

learnforpractice/evmone4eosio

92078d689d517d16c1c138440bbc0b77ab5b46a3

[ "Apache-2.0" ]

4

2020-02-28T22:49:07.000Z

2021-03-12T13:03:00.000Z

evm4eosiotest/evm.py

learnforpractice/evmone4eosio

92078d689d517d16c1c138440bbc0b77ab5b46a3

[ "Apache-2.0" ]

null

evm4eosiotest/evm.py

learnforpractice/evmone4eosio

92078d689d517d16c1c138440bbc0b77ab5b46a3

[ "Apache-2.0" ]

2

2020-03-25T03:55:24.000Z

2020-09-02T04:05:36.000Z

import os import json import web3 from web3 import Web3 from solcx import link_code import rlp import base58 from eth_utils import keccak from eth_utils import decode_hex, encode_hex from eth_account._utils.transactions import ( ChainAwareUnsignedTransaction, UnsignedTransaction, encode_transaction, se...

37.122581

1,381

0.655718

2,434

23,016

5.979869

0.146672

0.01113

0.023497

0.012367

0.465682

0.419924

0.396633

0.36448

0.335349

0.324356

0

0.147495

0.233229

23,016

619

1,382

37.182553

0.677244

0.23879

0

0.32

0

0.199159

0.124874

0

0.125348

0

0.008

1

0.128

false

0

0.042667

0.029333

0.370667

0

null

0

1

0

null

0

1

71cfd1f7bd55abb407a8e6d041730f136b948f74

5,921

py

Python

leonardo/module/media/widget/vectorgraphics/util.py

timgates42/django-leonardo

c155f97fee9e2be1e0f508d47a1c205028253ecc

[ "BSD-3-Clause" ]

102

2015-04-30T12:27:14.000Z

2021-10-31T18:21:16.000Z

leonardo/module/media/widget/vectorgraphics/util.py

timgates42/django-leonardo

c155f97fee9e2be1e0f508d47a1c205028253ecc

[ "BSD-3-Clause" ]

158

2015-04-30T22:42:34.000Z

2019-09-07T15:37:22.000Z

leonardo/module/media/widget/vectorgraphics/util.py

timgates42/django-leonardo

c155f97fee9e2be1e0f508d47a1c205028253ecc

[ "BSD-3-Clause" ]

64

2015-05-10T12:00:39.000Z

2021-07-29T19:47:27.000Z

import xml.parsers.expat from decimal import Decimal from django.conf import settings from django.template.loader import render_to_string import xml.dom.minidom import pprint pp = pprint.PrettyPrinter(indent=1, width=20).pprint def autofill_svg_size(sender, **kwargs): if not kwargs['instance'].autofill_dimensio...

45.899225

133

0.558689

603

5,921

5.257048

0.266998

0.057413

0.020189

0.031546

0.15836

0.064984

0.023975

0

0.003004

0.325283

5,921

128

134

46.257813

0.790488

0.056916

0

0.08

0

0.110075

0.031194

0

null

0

0.06

null

0.03

0

null

0

null

0

1

0

1

71d01d413d905aafb7f62c87e76f9568036fa182

861

py

Python

kata/python/7kyu/HighestAndLowest.py

adrianofelix019/Codewars-Challenges

b52e6f58be26c4ab4a3ee92b2479c517208565ba

[ "MIT" ]

null

kata/python/7kyu/HighestAndLowest.py

adrianofelix019/Codewars-Challenges

b52e6f58be26c4ab4a3ee92b2479c517208565ba

[ "MIT" ]

null

kata/python/7kyu/HighestAndLowest.py

adrianofelix019/Codewars-Challenges

b52e6f58be26c4ab4a3ee92b2479c517208565ba

[ "MIT" ]

null

''' In this little assignment you are given a string of space separated numbers, and have to return the highest and lowest number. Example: high_and_low("1 2 3 4 5") # return "5 1" high_and_low("1 2 -3 4 5") # return "5 -3" high_and_low("1 9 3 4 -5") # return "9 -5" Notes: All numbers are valid Int32, no need to va...

30.75

79

0.686411

171

861

3.345029

0.409357

0.097902

0.13986

0.115385

0.267483

0.258741

0

0.1

0.186992

861

27

80

31.888889

0.717143

0.629501

0

0.347403

0

1

0.142857

false

0

0.285714

0.571429

0

null

0

null

0

1

0

1

71d08f33ab4e8935788275d4921e3e24c53ee804

40,762

py

Python

pkg/highlights.py

N4SIRODDIN3/highlights

e24c1f090333c9375820262768666cf94dcac147

[ "MIT" ]

1

2020-08-15T10:42:54.000Z

pkg/highlights.py

N4SIRODDIN3/highlights

e24c1f090333c9375820262768666cf94dcac147

[ "MIT" ]

null

pkg/highlights.py

N4SIRODDIN3/highlights

e24c1f090333c9375820262768666cf94dcac147

[ "MIT" ]

null

"""Highlights API handler.""" import json import os import time from time import sleep import requests import threading try: from gateway_addon import APIHandler, APIResponse, Adapter, Device, Property, Database #print("succesfully loaded APIHandler and APIResponse from gateway_addon") except: print("Imp...

48.296209

220

0.38266

3,107

40,762

4.887673

0.132604

0.020743

0.021731

0.031608

0.393915

0.318583

0.270249

0.202094

0.164362

0.13091

0

0.007822

0.538958

40,762

844

221

48.296209

0.800245

0.122614

0

0.39666

0

0.129065

0.002029

0

0.00237

0

1

0.033403

false

0

0.018789

0

0.106472

0.148225

0

null

0

1

0

null

0

1

71d56081e7e9f90bc1b3051471322fbf30f5c7d2

2,203

py

Python

src/server/services/goods/delete.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

null

src/server/services/goods/delete.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

5

2021-01-28T21:18:27.000Z

2022-03-25T19:10:01.000Z

src/server/services/goods/delete.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals from __future__ import absolute_import from core_backend import context from core_backend.service import handler from core_backend.libs import token as tk from core_backend.libs.exception import Error from server.domain.models impor...

37.982759

159

0.700409

263

2,203

5.627376

0.342205

0.048649

0.040541

0.271622

0.243243

0.175676

0

0.003924

0.190195

2,203

57

160

38.649123

0.825673

0.031775

0

0.205128

0

0.041942

0

1

0.025641

false

0

0.307692

0

0.358974

0

null

0

null

0

1

0

1

71de11d5de0831a7037c58d6f29930e6b366f194

804

py

Python

setup.py

antkp/mtool

14f9339fc5d81873085abf27d62da606875b992b

[ "MIT" ]

null

setup.py

antkp/mtool

14f9339fc5d81873085abf27d62da606875b992b

[ "MIT" ]

null

setup.py

antkp/mtool

14f9339fc5d81873085abf27d62da606875b992b

[ "MIT" ]

null

from pyinstaller_setuptools import setup setup( name="mtool-1.04.1 measurement app", version="1.04.1", description="Read me", long_description=README, long_description_content_type="text/markdown", url="https://github.com/antkp/mtool.git", author="p. h.", author_email="saburow...

32.16

75

0.624378

84

804

5.785714

0.75

0.117284

0.154321

0

0.017685

0.226368

804

25

76

32.16

0.763666

0

0.083333

0

0.441741

0.039693

0

1

0

true

0

0.083333

0

0.083333

0

null

0

null

0

1

0

1

71df45755f3e77731140f351dac44063af3c6933

384

py

Python

4.11.py

Rycarddo/livro_curso_intensivo_de_python

b90884d05018581e0a575a4c0ccdab9cdf8311b8

[ "MIT" ]

null

4.11.py

Rycarddo/livro_curso_intensivo_de_python

b90884d05018581e0a575a4c0ccdab9cdf8311b8

[ "MIT" ]

null

4.11.py

Rycarddo/livro_curso_intensivo_de_python

b90884d05018581e0a575a4c0ccdab9cdf8311b8

[ "MIT" ]

null

pizzas = ['Pizza_A', 'Pizza_B', 'Pizza_C'] for pizza in pizzas: print(f'Gosto da {pizza}') print('Eu realmente gosto de pizza.') for i in range(1, 1): print(i) pizzas_amigos = pizzas[:] pizzas.append('Pizza_D') pizzas_amigos.append('Pizza_E') for pizza in pizzas: print(pizza) print() ...

16.695652

43

0.645833

58

384

4.103448

0.37931

0.10084

0.084034

0.134454

0.176471

0

0.006689

0.221354

384

22

44

17.454545

0.789298

0

0.142857

0

0.218837

0

1

0

false

0

0.428571

0

null

0

null

0

1

0

1

71df670ac770124d07e65111cce0fed66536bf5f

509

py

Python

Python/Exercícios_Python/058_validação_de_dados.py

vdonoladev/aprendendo-programacao

83abbcd6701b2105903b28fd549738863418cfb8

[ "MIT" ]

null

Python/Exercícios_Python/058_validação_de_dados.py

vdonoladev/aprendendo-programacao

83abbcd6701b2105903b28fd549738863418cfb8

[ "MIT" ]

null

Python/Exercícios_Python/058_validação_de_dados.py

vdonoladev/aprendendo-programacao

83abbcd6701b2105903b28fd549738863418cfb8

[ "MIT" ]

null

# -*- coding: utf-8 -*- """058 - Validação de Dados Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1ZTluph36T-5jWIn1AJP2JN1XKyqGAYep """ sexo = '' while sexo != 'M' and sexo != 'F': sexo = str(input('DIgite o sexo [M/F]: ')).upper() if sexo !=...

25.45

77

0.626719

68

509

4.691176

0.691176

0.062696

0.050157

0.075235

0.081505

0

0.026895

0.196464

509

20

78

25.45

0.753056

0.385069

0

1

0

0.332248

0

1

0

false

0

0.2

0

null

0

1

0

null

0

1

71e1037db7e92514ae30451d2e508ea22f1a5d1e

1,182

py

Python

examples/frameworks/pytorch/tensorboard_toy_pytorch.py

noklam/trains

70536544ed5e2b9aac8576ef2eaaef31c99ca670

[ "Apache-2.0" ]

8

2019-04-24T18:55:50.000Z

2022-03-04T13:38:42.000Z

examples/frameworks/pytorch/tensorboard_toy_pytorch.py

aliceUnhinged613/trains

8ec6bba4d91104a2bdd2e537bec21078529540e0

[ "Apache-2.0" ]

2

2020-07-05T08:28:40.000Z

2020-08-11T13:32:49.000Z

examples/frameworks/pytorch/tensorboard_toy_pytorch.py

aliceUnhinged613/trains

8ec6bba4d91104a2bdd2e537bec21078529540e0

[ "Apache-2.0" ]

6

2021-03-06T03:18:14.000Z

2021-12-14T02:40:12.000Z

import os from tempfile import gettempdir import numpy as np from PIL import Image from torch.utils.tensorboard import SummaryWriter from trains import Task task = Task.init(project_name='examples', task_name='pytorch tensorboard toy example') writer = SummaryWriter(log_dir=os.path.join(gettempdir(), 'tensorboard_l...

39.4

111

0.742809

176

1,182

4.806818

0.403409

0.06383

0.099291

0.06383

0.185579

0.1513

0

0.016729

0.089679

1,182

29

112

40.758621

0.769517

0.213198

0

0.157838

0

1

0

false

0

0.333333

0

0.333333

0.055556

0

null

0

null

0

1

0

1

71e3eec755034758d03696dc1ea4fafc5895cd89

496

py

Python

task_queue/migrations/0013_queuetask_log.py

dander94/task_queue

c65532fb496f4b3694cd33fb1466b5e0b3b2c486

[ "MIT" ]

null

task_queue/migrations/0013_queuetask_log.py

dander94/task_queue

c65532fb496f4b3694cd33fb1466b5e0b3b2c486

[ "MIT" ]

null

task_queue/migrations/0013_queuetask_log.py

dander94/task_queue

c65532fb496f4b3694cd33fb1466b5e0b3b2c486

[ "MIT" ]

1

2022-02-05T08:55:08.000Z

# Generated by Django 3.0.4 on 2020-04-13 16:49 from django.db import migrations, models import task_queue.models class Migration(migrations.Migration): dependencies = [ ('task_queue', '0012_remove_queuetask_log'), ] operations = [ migrations.AddField( model_name='queuetask'...

24.8

132

0.655242

61

496

5.114754

0.622951

0.086538

0.096154

0

0.05

0.233871

496

19

133

26.105263

0.771053

0.090726

0

1

0

0.111359

0.055679

0

1

0

false

0

0.153846

0

0.384615

0

null

0

1

0

null

0

1

e07abd8a95b2eccde225f9031069a64768f6f3b8

455

gyp

Python

binding.gyp

oyyd/nysocks

464c408ea45ceca576f04267bb168a70c5a29847

[ "BSD-3-Clause" ]

78

2017-12-10T07:00:02.000Z

2022-03-14T06:42:35.000Z

binding.gyp

oyyd/kcpuv

464c408ea45ceca576f04267bb168a70c5a29847

[ "BSD-3-Clause" ]

4

2018-01-13T04:45:27.000Z

2020-09-25T09:20:30.000Z

binding.gyp

oyyd/nysocks

464c408ea45ceca576f04267bb168a70c5a29847

[ "BSD-3-Clause" ]

23

2017-12-08T06:54:12.000Z

2022-03-27T07:05:05.000Z

{ 'targets': [{ 'target_name': 'addon', 'include_dirs': [ "<!(node -e \"require('nan')\")", 'lib/kcp', 'src', ], 'sources': [ 'lib/kcp/ikcp.c', 'src/utils.c', 'src/Loop.cc', 'src/SessUDP.cc', 'src/Cryptor.cc', 'src/KcpuvSess.cc', 'src/Mux.cc'...

17.5

39

0.408791

46

455

3.978261

0.652174

0.136612

0

0.009967

0.338462

455

25

40

18.2

0.598007

0

0.16

0

0.461538

0

1

0

true

0

null

0

null

0

1

0

1

e07dfce51029e12c851c0cc88d7f035e75a06014

1,346

py

Python

django_classified/forms.py

hymnis/django-classified

69bdab932f037ce006715fe4b2b1e6a622b39b02

[ "MIT" ]

42

2020-03-29T11:09:20.000Z

2022-03-16T11:45:06.000Z

django_classified/forms.py

hymnis/django-classified

69bdab932f037ce006715fe4b2b1e6a622b39b02

[ "MIT" ]

4

2020-05-18T21:17:12.000Z

2021-07-19T20:19:01.000Z

django_classified/forms.py

hymnis/django-classified

69bdab932f037ce006715fe4b2b1e6a622b39b02

[ "MIT" ]

20

2020-04-09T09:33:13.000Z

2022-01-26T18:48:32.000Z

from django import forms from django.utils.translation import ugettext as _ from .models import Item, Group, Profile, Area class SearchForm(forms.Form): area = forms.ModelChoiceField(label=_('Area'), queryset=Area.objects.all(), required=False) group = forms.ModelChoiceField(label=_('Group'), queryset=Group....

25.396226

98

0.591382

140

1,346

5.585714

0.471429

0.070332

0.095908

0.058824

0.138107

0

0.291976

1,346

52

99

25.884615

0.820567

0.070579

0

0.108108

0

0.094551

0.017628

0

0.019231

0

1

0.027027

false

0

0.081081

0

0.405405

0

null

0

null

0

1

0

1

e0811aaf21c026af971f10ee4f6fad02fa03c1ef

342

py

Python

lessons/lesson1/lesson1.py

daesun06/python_novice_lessons

a8976e1b4a36181e159b49e53b6f7854f55e3168

[ "MIT" ]

null

lessons/lesson1/lesson1.py

daesun06/python_novice_lessons

a8976e1b4a36181e159b49e53b6f7854f55e3168

[ "MIT" ]

null

lessons/lesson1/lesson1.py

daesun06/python_novice_lessons

a8976e1b4a36181e159b49e53b6f7854f55e3168

[ "MIT" ]

null

# Dummy calculation number1 = 7 number2 = 5 def calculate(input1, input2, symbol): computation_string = f'{input1} {symbol} {input2}' result = eval(computation_string) return result calculation_1 = calculate(number1, number2, "+") calculation_2 = calculate(number1, number2, "*") print(calculation_1)...

21.375

54

0.722222

39

342

6.179487

0.512821

0.141079

0.190871

0

0.055749

0.160819

342

16

55

21.375

0.783972

0.049708

0

0.086687

0

1

0.1

false

0

0.2

0

null

0

1

0

null

0

1

e084399def4b494208925509caf43aaa3d8601bc

7,041

py

Python

TPA.py

matonima/lightweight-classifier

35fd188595d771b738ec4e84501e45ca7110fb5a

[ "CC0-1.0" ]

null

TPA.py

matonima/lightweight-classifier

35fd188595d771b738ec4e84501e45ca7110fb5a

[ "CC0-1.0" ]

null

TPA.py

matonima/lightweight-classifier

35fd188595d771b738ec4e84501e45ca7110fb5a

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Dec 18 12:41:53 2020 @author: tonim """ import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) import keras from keras.models import Model from keras.layers import Input,Conv2D,Convolution2D, Dense, MaxPool2D, Dro...

40.936047

139

0.690243

1,051

7,041

4.525214

0.31589

0.030067

0.050463

0.060555

0.251051

0.211102

0.154962

0.133726

0.083263

0.068966

0

0.05635

0.15566

7,041

171

140

41.175439

0.74365

0.125124

0

0.051095

0

0.083517

0.012875

0

null

0

0.19708

null

0.043796

0

null

0

null

0

1

0

1