xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

863f656903c4148e82b3b4fd5343ee724e111ab6

3,469

py

Python

function/python/brightics/function/textanalytics/regex.py

jhpark428/studio

539457b3026dda827c1b17b4cb851946e34e3b85

[ "Apache-2.0" ]

202

2018-10-23T04:37:35.000Z

2022-01-27T05:51:10.000Z

function/python/brightics/function/textanalytics/regex.py

sagarmk/studio

3bc547fdf85ae6be80c1b40916f9f5d31d2b3f75

[ "MIT" ]

444

2018-11-07T08:41:14.000Z

2022-03-16T06:48:57.000Z

function/python/brightics/function/textanalytics/regex.py

sagarmk/studio

3bc547fdf85ae6be80c1b40916f9f5d31d2b3f75

[ "MIT" ]

99

2018-11-08T04:12:13.000Z

2022-03-30T05:36:27.000Z

""" Copyright 2019 Samsung SDS 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 ...

40.811765

120

0.643701

418

3,469

5.114833

0.311005

0.07203

0.058934

0.028064

0.260992

0.138447

0.089804

0.056127

0.038354

0

0.008242

0.265494

3,469

84

121

41.297619

0.830848

0.189968

0

0.183333

0

0.064093

0

1

0.05

false

0

0.066667

0

0.3

0

null

0

null

0

1

0

863fffaabccfedecd9149dc35acae6b9542aa04c

8,500

py

Python

bin/temperature_functions.py

travc/outbreak-reporter

0f03ca66993827ae1866d09e3cf5d9f6d4acb633

[ "MIT" ]

null

bin/temperature_functions.py

travc/outbreak-reporter

0f03ca66993827ae1866d09e3cf5d9f6d4acb633

[ "MIT" ]

2

2019-12-15T19:58:26.000Z

2019-12-17T05:33:32.000Z

bin/temperature_functions.py

travc/outbreak-reporter

0f03ca66993827ae1866d09e3cf5d9f6d4acb633

[ "MIT" ]

1

2022-03-04T01:36:38.000Z

#!/usr/bin/env python3 import sys import os import logging import numpy as np import pandas as pd import dateutil def tempF2C(x): return (x-32.0)*5.0/9.0 def tempC2F(x): return (x*9.0/5.0)+32.0 def load_temperature_hdf5(temps_fn, local_time_offset, basedir=None, start_year=None, truncate_to_full_day=False): ## ...

41.062802

132

0.598

1,259

8,500

3.926926

0.250993

0.01699

0.021238

0.009709

0.234426

0.188107

0.158981

0.149272

0.137136

0

0.025862

0.263059

8,500

206

133

41.262136

0.76341

0.294118

0

0.149254

0

0.081514

0

0.022388

1

0.052239

false

0.007463

0.044776

0.014925

0.134328

0.029851

0

null

0

null

0

1

0

864003328f8b49eae739c102dea7da6313ecab13

2,584

py

Python

applications/CSharpWrapperApplication/tests/test_CSharpWrapperApplication.py

lkusch/Kratos

e8072d8e24ab6f312765185b19d439f01ab7b27b

[ "BSD-4-Clause" ]

778

2017-01-27T16:29:17.000Z

2022-03-30T03:01:51.000Z

applications/CSharpWrapperApplication/tests/test_CSharpWrapperApplication.py

lkusch/Kratos

e8072d8e24ab6f312765185b19d439f01ab7b27b

[ "BSD-4-Clause" ]

6,634

2017-01-15T22:56:13.000Z

2022-03-31T15:03:36.000Z

applications/CSharpWrapperApplication/tests/test_CSharpWrapperApplication.py

lkusch/Kratos

e8072d8e24ab6f312765185b19d439f01ab7b27b

[ "BSD-4-Clause" ]

224

2017-02-07T14:12:49.000Z

2022-03-06T23:09:34.000Z

# import Kratos import KratosMultiphysics import KratosMultiphysics.StructuralMechanicsApplication as StructuralMechanicsApplication import KratosMultiphysics.CSharpWrapperApplication as CSharpWrapperApplication import run_cpp_unit_tests # Import Kratos "wrapper" for unittests import KratosMultiphysics.KratosUnittest ...

29.363636

90

0.71904

267

2,584

6.861423

0.370787

0.065502

0.026201

0.091703

0.176856

0.067686

0.03821

0

0.195046

2,584

87

91

29.701149

0.880769

0.379257

0

0.135786

0.017391

0

1

0.035714

false

0

0.25

0

0.321429

0

null

0

null

0

1

0

86421594cd7a65136f722a4e9889059ae90e1d77

2,145

py

Python

run.py

Ganeshrockz/Flask-Python-Dev

522b280484e8f4cf3877b378a1334c501ffbc41e

[ "Apache-2.0" ]

null

run.py

Ganeshrockz/Flask-Python-Dev

522b280484e8f4cf3877b378a1334c501ffbc41e

[ "Apache-2.0" ]

null

run.py

Ganeshrockz/Flask-Python-Dev

522b280484e8f4cf3877b378a1334c501ffbc41e

[ "Apache-2.0" ]

null

from flask import Flask, flash, render_template, redirect, url_for from flask.ext.pymongo import PyMongo from flask import request app=Flask(__name__) app.config['MONGO_DBNAME']='stud' app.config['MONGO_URI']='mongodb://localhost:27017/stud' mongo=PyMongo(app) """ @app.route('/add') def add(): user=mongo.db.users ...

35.75

213

0.620513

253

2,145

5.166008

0.316206

0.075746

0.061209

0.039021

0.056618

0

0.008711

0.197203

2,145

59

214

36.355932

0.75029

0

0.159091

0

0.224921

0.015839

0

1

0.068182

false

0.045455

0.068182

0

0.272727

0

null

0

null

0

1

0

86448f12322f6a8ff13f239dbc2163cdebce1c56

12,198

py

Python

resources/tests/conftest.py

jussiarpalahti/respa

c308bcb96e56d9401e22df94d3073e248618e243

[ "MIT" ]

null

resources/tests/conftest.py

jussiarpalahti/respa

c308bcb96e56d9401e22df94d3073e248618e243

[ "MIT" ]

null

resources/tests/conftest.py

jussiarpalahti/respa

c308bcb96e56d9401e22df94d3073e248618e243

[ "MIT" ]

null

# -*- coding: utf-8 -*- import pytest import datetime from django.contrib.auth import get_user_model from django.contrib.auth.models import Group from rest_framework.test import APIClient, APIRequestFactory from resources.enums import UnitAuthorizationLevel from resources.models import Resource, ResourceType, Unit, Pu...

29.606796

119

0.702492

1,374

12,198

5.983988

0.140466

0.069569

0.070056

0.041596

0.596935

0.550596

0.498662

0.456702

0.403308

0.334469

0

0.010521

0.205198

12,198

411

120

29.678832

0.837545

0.019101

0

0.478788

0

0.075429

0.004353

0

1

0.112121

false

0

0.030303

0.060606

0.254545

0

null

0

null

0

1

0

86468125b6e8c3a2e71c1dfdfd2e29f1c5b2af19

586

py

Python

qcmetadataprinter/struct.py

x2dev/device_leeco_x2

9bf4549b5f64390ca4da291745b2a66a8e3f006e

[ "FTL" ]

null

qcmetadataprinter/struct.py

x2dev/device_leeco_x2

9bf4549b5f64390ca4da291745b2a66a8e3f006e

[ "FTL" ]

null

qcmetadataprinter/struct.py

x2dev/device_leeco_x2

9bf4549b5f64390ca4da291745b2a66a8e3f006e

[ "FTL" ]

null

#!/bin/python3 with open('../camera/QCamera2/stack/common/cam_intf.h', 'r') as f: data = f.read() f.closed start = data.find(' INCLUDE(CAM_INTF_META_HISTOGRAM') end = data.find('} metadata_data_t;') data = data[start:end] metadata = data.split("\n") metalist = list() for line in metadata: if (line.starts...

23.44

66

0.593857

84

586

4.071429

0.535714

0.035088

0

0.010846

0.213311

586

24

67

24.416667

0.73102

0.022184

0

0.117647

0

0.263986

0.127622

0

1

0

false

0

null

0

null

0

1

0

8647521d4f7b0429f689d687206113be1ffbd603

317

py

Python

abc/abc121/abc121d-2.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

1

2019-08-21T00:49:34.000Z

abc/abc121/abc121d-2.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

abc/abc121/abc121d-2.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

def g(A, n): if A == -1: return 0 return A // (2 * n) * n + max(A % (2 * n) - (n - 1), 0) def f(A, B): result = 0 for i in range(48): t = 1 << i if (g(B, t) - g(A - 1, t)) % 2 == 1: result += t return result A, B = map(int, input().split()) print(f(A, B))

16.684211

59

0.381703

59

317

2.050847

0.40678

0.049587

0.066116

0

0.068783

0.403785

317

18

60

17.611111

0.571429

0

1

0.153846

false

0

0.384615

0.076923

0

null

0

null

0

1

0

86479efec94998d8ac597979216e69bc35252174

807

py

Python

log_mysql.py

kizunai/Weather-Scrapy

d2104d28dc303f6710b043f9821dcb84c665665d

[ "Apache-2.0" ]

null

log_mysql.py

kizunai/Weather-Scrapy

d2104d28dc303f6710b043f9821dcb84c665665d

[ "Apache-2.0" ]

null

log_mysql.py

kizunai/Weather-Scrapy

d2104d28dc303f6710b043f9821dcb84c665665d

[ "Apache-2.0" ]

null

import logging from logging.handlers import TimedRotatingFileHandler class MyLog(): def __init__(self, name, filename): self.logger = logging.getLogger(name) if not self.logger.handlers: self.logger.setLevel(logging.INFO) ch = TimedRotatingFileHandler(filename=filename, when...

31.038462

97

0.675341

91

807

5.945055

0.43956

0.110906

0.140481

0

0.001517

0.183395

807

25

98

32.28

0.819423

0

0.114236

0

1

0.083333

false

0

0.166667

0

0.333333

0

null

0

null

0

1

0

8647faa20530aa0d730c1a40c079c5454d72f20d

1,252

py

Python

src/fiesta/urls.py

lerooze/django-fiesta

d521f50bcdd3d40e91f0474ec2fa7e256758e0a5

[ "BSD-3-Clause" ]

null

src/fiesta/urls.py

lerooze/django-fiesta

d521f50bcdd3d40e91f0474ec2fa7e256758e0a5

[ "BSD-3-Clause" ]

3

2019-10-29T23:31:01.000Z

2020-03-31T03:08:28.000Z

src/fiesta/urls.py

lerooze/django-fiesta

d521f50bcdd3d40e91f0474ec2fa7e256758e0a5

[ "BSD-3-Clause" ]

null

# urls.py from django.urls import path, register_converter from fiesta import converters from fiesta.views import views from rest_framework.urlpatterns import format_suffix_patterns # "http://django-sdmx.org/wsrest/" # "http://django-sdmx.org/ws/" register_converter(converters.ResourceConverter, 'res') register_con...

40.387097

125

0.742812

136

1,252

6.720588

0.308824

0.045952

0.065646

0.105033

0.484683

0.40372

0.370897

0

0.099042

1,252

30

126

41.733333

0.810284

0.055112

0

0.142857

0

0.29202

0.272496

0

1

0

false

0

0.190476

0

0.190476

0

null

0

null

0

1

0

864838cbb6dc59b795206fdcacaeae0f4be0ca16

9,159

py

Python

sepa_generator/definitions.py

jason-gm/python_sepa

542c48326c07ab68d341a07d5ee12502f7248690

[ "MIT" ]

null

sepa_generator/definitions.py

jason-gm/python_sepa

542c48326c07ab68d341a07d5ee12502f7248690

[ "MIT" ]

null

sepa_generator/definitions.py

jason-gm/python_sepa

542c48326c07ab68d341a07d5ee12502f7248690

[ "MIT" ]

null

def construct_tag_data(tag_name, attrs=None, value=None, sorting=None): data = { '_name': tag_name, '_attrs': attrs or [], '_value': value, } if sorting: data['_sorting'] = sorting return data def add_simple_child(data, child_friendly_name, child_tag_name, child_attr...

48.460317

116

0.601048

902

9,159

5.720621

0.174058

0.102326

0.136434

0.046512

0.242636

0.202907

0.175581

0.117054

0.086047

0

0.002314

0.292172

9,159

188

117

48.718085

0.793614

0

0.088889

0

0.007407

0.148395

0.012776

0

1

0.066667

false

0

0.133333

0

null

0

null

0

1

0

864bf69490c6ee45920463f0c6f8b0b6dbff18dc

4,624

py

Python

ReportBot.py

SeveNNoff/InstagramReportBot

0a613b5f2733d988a952d64d8141cb7390527b9e

[ "Apache-2.0" ]

1

2020-10-13T16:04:08.000Z

ReportBot.py

SeveNNoff/InstagramReportBot

0a613b5f2733d988a952d64d8141cb7390527b9e

[ "Apache-2.0" ]

null

ReportBot.py

SeveNNoff/InstagramReportBot

0a613b5f2733d988a952d64d8141cb7390527b9e

[ "Apache-2.0" ]

1

2021-04-17T04:42:29.000Z

# coding=utf-8 #!/usr/bin/env python3 from libs.check_modules import check_modules from sys import exit from os import _exit check_modules() from os import path from libs.logo import print_logo from libs.utils import print_success from libs.utils import print_error from libs.utils import ask_question ...

30.421053

96

0.599048

611

4,624

4.360065

0.211129

0.04542

0.024399

0.035661

0.479354

0.418544

0.395646

0.374625

0.324324

0.201201

0

0.01125

0.288711

4,624

152

97

30.421053

0.798723

0.016436

0

0.466102

0

0.175131

0

1

0.050847

false

0.008475

0.127119

0

0.211864

0.279661

0

null

0

null

0

1

0

864d054eec7d0aab41c1311c42de1bf952355469

33,765

py

Python

spyder/plugins/variableexplorer/widgets/arrayeditor.py

seryj/spyder

acea4f501c1a04d57b02e5e817708a69b503f430

[ "MIT" ]

null

spyder/plugins/variableexplorer/widgets/arrayeditor.py

seryj/spyder

acea4f501c1a04d57b02e5e817708a69b503f430

[ "MIT" ]

null

spyder/plugins/variableexplorer/widgets/arrayeditor.py

seryj/spyder

acea4f501c1a04d57b02e5e817708a69b503f430

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright © Spyder Project Contributors # Licensed under the terms of the MIT License # (see spyder/__init__.py for details) """ NumPy Array Editor Dialog based on Qt """ # pylint: disable=C0103 # pylint: disable=R0903 # pylint: disable=R0911 # pylint: disable=R0201 # Stand...

39.817217

84

0.53206

3,540

33,765

4.926836

0.180226

0.017889

0.013417

0.007224

0.207672

0.160197

0.102632

0.080901

0.043575

0.038186

0

0.008448

0.361943

33,765

847

85

39.864227

0.801058

0.107449

0

0.187017

0

0.043203

0

0.001181

0

1

0.068006

false

0.006182

0.018547

0

0.16847

0.003091

0

null

0

null

0

1

0

864d134a9c98ae3913986fb31b160d825e4250a2

4,638

py

Python

libbeat/tests/system/idxmgmt.py

dddpaul/beats

0d4a830fea46210ee264c52a977834d39493c750

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

4

2020-11-17T06:29:30.000Z

2021-08-08T11:56:01.000Z

libbeat/tests/system/idxmgmt.py

dddpaul/beats

0d4a830fea46210ee264c52a977834d39493c750

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

6

2020-06-23T16:28:27.000Z

2020-10-05T17:52:01.000Z

libbeat/tests/system/idxmgmt.py

dddpaul/beats

0d4a830fea46210ee264c52a977834d39493c750

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

2

2020-10-26T15:34:06.000Z

2021-12-10T08:51:58.000Z

import datetime import unittest import pytest from elasticsearch import NotFoundError class IdxMgmt(unittest.TestCase): def __init__(self, client, index): self._client = client self._index = index if index != '' and index != '*' else 'mockbeat' def needs_init(self, s): return s == ''...

39.305085

99

0.618586

525

4,638

5.262857

0.2

0.057908

0.096272

0.131741

0.446978

0.411871

0.372059

0.355411

0.294607

0.198335

0

0.003158

0.24903

4,638

117

100

39.641026

0.790123

0.02997

0

0.282609

0

0.101224

0

0.23913

1

0.184783

false

0.032609

0.043478

0.01087

0.271739

0

null

0

null

0

1

0

864d964c990a587e44dea52d446ea4e2f4b1a45e

6,340

py

Python

chaco/polygon_plot.py

burnpanck/chaco

6457cdd28625991ba69fbbee105051cab237aa51

[ "BSD-3-Clause" ]

3

2017-09-17T17:32:06.000Z

2022-03-15T13:04:43.000Z

chaco/polygon_plot.py

burnpanck/chaco

6457cdd28625991ba69fbbee105051cab237aa51

[ "BSD-3-Clause" ]

null

chaco/polygon_plot.py

burnpanck/chaco

6457cdd28625991ba69fbbee105051cab237aa51

[ "BSD-3-Clause" ]

5

2015-05-17T16:08:11.000Z

2021-02-23T09:23:42.000Z

""" Defines the PolygonPlot class. """ from __future__ import with_statement # Major library imports import numpy as np # Enthought library imports. from enable.api import LineStyle, black_color_trait, \ transparent_color_trait from kiva.agg import points_in_polygon from traits.api ...

36.647399

82

0.603312

828

6,340

4.43599

0.266908

0.031854

0.016335

0.013068

0.288048

0.166077

0.128233

0.109992

0

0.004871

0.255205

6,340

172

83

36.860465

0.772978

0.424606

0

0.3125

0

0.033682

0

1

0.0875

false

0

0.075

0

0.375

0

null

0

null

0

1

0

86502380f0447c4c5893fb4c09f732239b1cc11f

552

py

Python

webapp/template_config.py

evgenyss/investing

b72da8587a4783bfdd389f1781dcd108d1a5e53f

[ "MIT" ]

null

webapp/template_config.py

evgenyss/investing

b72da8587a4783bfdd389f1781dcd108d1a5e53f

[ "MIT" ]

null

webapp/template_config.py

evgenyss/investing

b72da8587a4783bfdd389f1781dcd108d1a5e53f

[ "MIT" ]

null

import os from datetime import timedelta basedir = os.path.abspath(os.path.dirname(__file__)) API_DATA_URL = "https://invest-public-api.tinkoff.ru/rest/tinkoff.public.invest.api.contract.v1.InstrumentsService/" API_LASTPRICES_URL = "https://invest-public-api.tinkoff.ru/rest/\ tinkoff.public.invest.api.contract.v1.Mar...

29.052632

116

0.778986

73

552

5.671233

0.589041

0.043478

0.067633

0.096618

0.328502

0

0.005882

0.076087

552

18

117

30.666667

0.805882

0

0.090909

0.217391

0

1

0

false

0

0.181818

0

0.181818

0

null

0

null

0

1

0

8650d9e6c008eb69e8a60ee61bf0c6b0618f2c83

3,842

py

Python

humann2/quantify/families.py

dytk2134/humann2

9b8f212bdd910ee7187f06f1550f0c86bce0473b

[ "MIT" ]

null

humann2/quantify/families.py

dytk2134/humann2

9b8f212bdd910ee7187f06f1550f0c86bce0473b

[ "MIT" ]

null

humann2/quantify/families.py

dytk2134/humann2

9b8f212bdd910ee7187f06f1550f0c86bce0473b

[ "MIT" ]

null

""" HUMAnN2: quantify_families module Compute alignments by gene family Copyright (c) 2014 Harvard School of Public Health Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, inc...

40.442105

116

0.728267

534

3,842

5.050562

0.346442

0.032629

0.016314

0.032258

0.132369

0.08046

0.066741

0.03337

0

0.002313

0.212389

3,842

94

117

40.87234

0.888962

0.442998

0

0.1

0

0.032764

0

1

0.025

false

0

0.15

0

0.2

0

null

0

null

0

1

0

865144cd196eb39a73555fc643c117d083a615cc

744

py

Python

Buta Nicolae/threads.py

RazvanBalau/parallel-2020

bd9c0dea6cc70e167320f64632d7a235522dfdb3

[ "MIT" ]

null

Buta Nicolae/threads.py

RazvanBalau/parallel-2020

bd9c0dea6cc70e167320f64632d7a235522dfdb3

[ "MIT" ]

null

Buta Nicolae/threads.py

RazvanBalau/parallel-2020

bd9c0dea6cc70e167320f64632d7a235522dfdb3

[ "MIT" ]

23

2020-01-15T15:02:39.000Z

2020-01-15T17:23:03.000Z

import threading from multiprocessing import Queue results = [] results2 = [] def take_numbers(q): print('Enter the numbers:') for i in range(0,3): num1 = int(input('Enter first number: ')) num2 = int(input('Enter second number: ')) q.put(num1) q.put(num2) def add_num(q): ...

20.666667

54

0.606183

106

744

4.216981

0.40566

0.049217

0.026846

0.049217

0.076063

0

0.040636

0.239247

744

36

55

20.666667

0.749117

0

0.068966

0

0.103356

0

1

0.068966

false

0

0.068966

0

0.137931

0.103448

0

null

0

null

0

1

0

86517e62e82db5794921e6da0e41993351344585

576

py

Python

code_week11_76_712/unique_paths.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

code_week11_76_712/unique_paths.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

code_week11_76_712/unique_paths.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

''' 一个机器人位于一个 m x n 网格的左上角（起始点在下图中标记为“Start” ）。机器人每次只能向下或者向右移动一步。机器人试图达到网格的右下角（在下图中标记为“Finish”）。问总共有多少条不同的路径？例如，上图是一个7 x 3 的网格。有多少可能的路径？示例 1: 输入: m = 3, n = 2 输出: 3 解释: 从左上角开始，总共有 3 条路径可以到达右下角。 1. 向右 -> 向右 -> 向下 2. 向右 -> 向下 -> 向右 3. 向下 -> 向右 -> 向右示例 2: 输入: m = 7, n = 3 输出: 28 来源：力扣（LeetCode）链接：https:...

15.567568

49

0.552083

98

576

3.244898

0.55102

0.028302

0.031447

0.037736

0

0.045673

0.277778

576

37

50

15.567568

0.71875

0.616319

0

1

0.142857

false

0

0.428571

0

null

0

null

0

1

0

86524c143ea8ba1817f21135f1c0c27360fa74e8

3,361

py

Python

spektral/datasets/qm9.py

JonaBecher/spektral

ff59e16d959e0ec698428997363be20462625699

[ "MIT" ]

2,145

2019-01-21T20:49:44.000Z

2022-03-28T20:27:27.000Z

spektral/datasets/qm9.py

jasper-park/spektral

ad2d96549c00f68ce992a7d29e2c3fd025fb529b

[ "MIT" ]

259

2019-01-22T05:18:19.000Z

2022-03-25T10:46:10.000Z

spektral/datasets/qm9.py

jasper-park/spektral

ad2d96549c00f68ce992a7d29e2c3fd025fb529b

[ "MIT" ]

322

2019-02-11T16:18:27.000Z

2022-03-24T16:26:59.000Z

import os import os.path as osp import numpy as np from joblib import Parallel, delayed from tensorflow.keras.utils import get_file from tqdm import tqdm from spektral.data import Dataset, Graph from spektral.utils import label_to_one_hot, sparse from spektral.utils.io import load_csv, load_sdf ATOM_TYPES = [1, 6, 7...

29.482456

80

0.621839

497

3,361

4.060362

0.352113

0.014866

0.019326

0.040634

0.025768

0

0.011722

0.26391

3,361

113

81

29.743363

0.803961

0.249331

0

0.015152

0.078215

0

1

0.090909

false

0

0.136364

0

0.318182

0.015152

0

null

0

null

0

1

0

865416b109055549efa6918ca6073abc6d07a490

602

py

Python

code/Level 1 - Intro to CPX/5-acceleration/main.py

tscofield/cpx-training

682a2cef6bb164bc7c374744de94c21581258392

[ "MIT" ]

null

code/Level 1 - Intro to CPX/5-acceleration/main.py

tscofield/cpx-training

682a2cef6bb164bc7c374744de94c21581258392

[ "MIT" ]

null

code/Level 1 - Intro to CPX/5-acceleration/main.py

tscofield/cpx-training

682a2cef6bb164bc7c374744de94c21581258392

[ "MIT" ]

1

2019-02-07T04:04:05.000Z

from adafruit_circuitplayground.express import cpx # Main loop gets x, y and z axis acceleration, prints the values, and turns on # red, green and blue, at levels related to the x, y and z values. while True: if cpx.switch: print("Slide switch off!") cpx.pixels.fill((0, 0, 0)) continue ...

25.083333

78

0.503322

94

602

3.212766

0.468085

0.02649

0.033113

0.039735

0

0.016129

0.38206

602

23

79

26.173913

0.795699

0.234219

0

0.037199

0

1

0

false

0

0.052632

0

0.052632

0.105263

0

null

0

null

0

1

0

86543345af40c82152fa05b0f713964bb091299c

7,692

py

Python

src/data_preprocess.py

QinganZhao/ML-based-driving-motion-prediction

5a7772cf199d30e4e33bbe943775c2e19aac5d5b

[ "MIT" ]

18

2019-01-08T02:53:56.000Z

2022-03-03T11:34:20.000Z

src/data_preprocess.py

QinganZhao/ML-based-driving-motion-prediction

5a7772cf199d30e4e33bbe943775c2e19aac5d5b

[ "MIT" ]

null

src/data_preprocess.py

QinganZhao/ML-based-driving-motion-prediction

5a7772cf199d30e4e33bbe943775c2e19aac5d5b

[ "MIT" ]

7

2018-06-13T20:12:25.000Z

2022-02-20T08:39:07.000Z

import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl import matplotlib.patches as patches def load_data(file_name, car_flag): if car_flag == 1: data = np.loadtxt('./car1/'+str(file_name)) elif car_flag == 2: data = np.loadtxt('./car2/'+str(file_name)) return data def get...

29.136364

89

0.623375

1,246

7,692

3.614767

0.162921

0.130995

0.101909

0.091918

0.442496

0.318162

0.238455

0.181172

0.140764

0.099911

0

0.065277

0.189418

7,692

263

90

29.247148

0.657097

0.25637

0

0.121212

0

0.064361

0.017291

0

1

0.045455

false

0

0.030303

0

0.090909

0.037879

0

null

0

null

0

1

0

86545fd84ae7762d72208edf0f23289ff9f754a1

4,660

py

Python

balancesheet/equityManager.py

tylertjburns/ledgerkeeper

cd69e9f48f35a973d08e450dfffdfea46bdc3802

[ "MIT" ]

null

balancesheet/equityManager.py

tylertjburns/ledgerkeeper

cd69e9f48f35a973d08e450dfffdfea46bdc3802

[ "MIT" ]

null

balancesheet/equityManager.py

tylertjburns/ledgerkeeper

cd69e9f48f35a973d08e450dfffdfea46bdc3802

[ "MIT" ]

null

import balancesheet.mongoData.equities_data_service as dsvce from userInteraction.financeCliInteraction import FinanceCliInteraction import ledgerkeeper.mongoData.account_data_service as dsvca from balancesheet.enums import EquityClass, AssetType, LiabiltyType, EquityTimeHorizon, EquityStatus, EquityContingency import ...

43.551402

119

0.65279

507

4,660

5.763314

0.224852

0.074264

0.105407

0.049281

0.350445

0.288159

0.219713

0.201917

0

0.000288

0.254721

4,660

106

120

43.962264

0.84106

0

0.181818

0

0.079931

0

1

0.103896

false

0

0.064935

0

0.194805

0.077922

0

null

0

null

0

1

0

8655870bbe029c575ef810e01964410eb82d6a13

10,603

py

Python

confluent_server/confluent/syncfiles.py

xcat2/confluent

47a83f4628df48638c2aebbfbcddc1531aac20d0

[ "Apache-2.0" ]

27

2015-02-11T13:56:46.000Z

2021-12-28T14:17:20.000Z

confluent_server/confluent/syncfiles.py

jjohnson42/confluent

47a83f4628df48638c2aebbfbcddc1531aac20d0

[ "Apache-2.0" ]

32

2015-09-23T13:19:04.000Z

2022-03-15T13:50:45.000Z

confluent_server/confluent/syncfiles.py

xcat2/confluent

47a83f4628df48638c2aebbfbcddc1531aac20d0

[ "Apache-2.0" ]

24

2015-07-14T20:41:55.000Z

2021-07-15T04:18:51.000Z

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2021 Lenovo # # 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 ...

37.334507

106

0.529661

1,097

10,603

5.094804

0.273473

0.017177

0.016103

0.007157

0.072106

0.042226

0.027196

0.017892

0

0.010135

0.357918

10,603

283

107

37.466431

0.810811

0.084127

0

0.18254

0

0.086912

0.012283

0

1

0.031746

false

0.007937

0.039683

0

0.103175

0

null

0

null

0

1

0

86559f8329a6ab4177af7e36ab701bd44241c349

1,804

py

Python

fym/models/missile.py

JungYT/fym

d519c50086e3c7793b960e0326c92ed407836790

[ "MIT" ]

14

2019-08-23T10:02:39.000Z

2021-12-24T13:04:43.000Z

fym/models/missile.py

JungYT/fym

d519c50086e3c7793b960e0326c92ed407836790

[ "MIT" ]

110

2019-08-23T08:09:32.000Z

2021-06-29T06:54:48.000Z

fym/models/missile.py

JungYT/fym

d519c50086e3c7793b960e0326c92ed407836790

[ "MIT" ]

10

2019-09-02T03:49:06.000Z

2021-05-10T04:35:40.000Z

import numpy as np from fym.core import BaseSystem class MissilePlanar(BaseSystem): R = 288 g = 9.80665 S = 1 t1 = 1.5 t2 = 8.5 name = 'missile' def __init__(self, initial_state): super().__init__(initial_state) def external(self, states, controls): return 0 ...

25.408451

68

0.444568

279

1,804

2.83871

0.422939

0.015152

0.007576

0

0.167608

0.411308

1,804

70

69

25.771429

0.578154

0.121951

0

0.075472

0

0.004447

0

1

0.056604

false

0

0.037736

0.018868

0.264151

0

null

0

null

0

1

0

8655ba3bbd3cf852e91a43d33c2f2f32d558bc09

2,175

py

Python

egg/zoo/addition/data.py

chengemily/EGG

40e84228e9d6e9ae785c0e4a846bb7e12e2b9291

[ "MIT" ]

1

2022-03-01T18:57:48.000Z

egg/zoo/addition/data.py

chengemily/EGG

40e84228e9d6e9ae785c0e4a846bb7e12e2b9291

[ "MIT" ]

null

egg/zoo/addition/data.py

chengemily/EGG

40e84228e9d6e9ae785c0e4a846bb7e12e2b9291

[ "MIT" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. from typing import Iterable, Optional, Tuple import torch from torch.utils.data import DataLoader class ScaledDataset: def __init__(self,...

32.462687

120

0.624368

269

2,175

4.821561

0.319703

0.048574

0.027756

0.038551

0.214341

0.1835

0.083269

0

0.006423

0.284138

2,175

66

121

32.954545

0.82659

0.110345

0

0.046512

0

0.035

0

1

0.116279

false

0

0.069767

0.023256

0.302326

0

null

0

null

0

1

0

8657acef2a48725b54eda761add6bd9a28ac1231

3,379

py

Python

simulation-web3py/utility.py

miker83z/cloud-chain

0f5c43159544da547173ee0425e78bede261513b

[ "MIT" ]

null

simulation-web3py/utility.py

miker83z/cloud-chain

0f5c43159544da547173ee0425e78bede261513b

[ "MIT" ]

null

simulation-web3py/utility.py

miker83z/cloud-chain

0f5c43159544da547173ee0425e78bede261513b

[ "MIT" ]

1

2022-01-27T14:18:24.000Z

import json import os from argparse import ArgumentTypeError from eth_typing import Address from web3.contract import Contract from settings import MIN_VAL, MAX_VAL, DEPLOYED_CONTRACTS, CONFIG_DIR async def init_simulation(contracts: [], factor: float, fn: str, status_init: bool) -> bool: statuses = [True] ...

32.805825

106

0.612607

415

3,379

4.795181

0.303614

0.01809

0.047739

0.050251

0.131156

0.128141

0.055276

0

0.002929

0.29269

3,379

102

107

33.127451

0.829707

0.035809

0

0.189873

0

0.091302

0.023134

0

1

0.088608

false

0

0.101266

0

0.303797

0.037975

0

null

0

null

0

1

0

8657d90fe7092bbdb91cfe26101bae5ad4366000

808

py

Python

migrations/versions/816ea3631582_add_topics.py

OpenASL/HowSignBot

bd9c5bc0edfd6fb50bdce7c7c1d84462e1e704c2

[ "MIT" ]

9

2021-01-12T07:28:30.000Z

2021-12-30T09:27:04.000Z

migrations/versions/816ea3631582_add_topics.py

OpenASL/HowSignBot

bd9c5bc0edfd6fb50bdce7c7c1d84462e1e704c2

[ "MIT" ]

16

2021-03-28T16:31:42.000Z

2022-03-21T00:18:30.000Z

migrations/versions/816ea3631582_add_topics.py

OpenASL/HowSignBot

bd9c5bc0edfd6fb50bdce7c7c1d84462e1e704c2

[ "MIT" ]

1

2021-07-18T20:49:19.000Z

"""add topics Revision ID: 816ea3631582 Revises: 37a124b0099b Create Date: 2021-03-13 14:20:10.044131 """ from alembic import op import sqlalchemy as sa import bot # revision identifiers, used by Alembic. revision = "816ea3631582" down_revision = "37a124b0099b" branch_labels = None depends_on = None def upgrade()...

23.085714

90

0.674505

96

808

5.604167

0.59375

0.050186

0.078067

0.085502

0.163569

0

0.089094

0.194307

808

34

91

23.764706

0.737327

0.361386

0

0.133612

0

1

0.125

false

0

0.1875

0

0.3125

0

null

0

null

0

1

0

86582bc3a8c357318983a8612ae2ca233e2c4562

3,137

py

Python

src/Lib/importlib/__init__.py

NUS-ALSET/ace-react-redux-brython

d009490263c5716a145d9691cd59bfcd5aff837a

[ "MIT" ]

1

2021-08-05T12:45:39.000Z

src/Lib/importlib/__init__.py

NUS-ALSET/ace-react-redux-brython

d009490263c5716a145d9691cd59bfcd5aff837a

[ "MIT" ]

null

src/Lib/importlib/__init__.py

NUS-ALSET/ace-react-redux-brython

d009490263c5716a145d9691cd59bfcd5aff837a

[ "MIT" ]

1

2019-09-05T08:20:07.000Z

"""A pure Python implementation of import.""" __all__ = ['__import__', 'import_module', 'invalidate_caches'] # Bootstrap help ##################################################### # Until bootstrapping is complete, DO NOT import any modules that attempt # to import importlib._bootstrap (directly or indirectly)....

36.057471

81

0.668792

409

3,137

4.98533

0.425428

0.039235

0.021579

0.012751

0

0.000832

0.233663

3,137

86

82

36.476744

0.847338

0.532037

0

0.108085

0

1

0.085714

false

0.028571

0.285714

0

0.457143

0

null

0

null

0

1

0

86589b5f56644ed9997dc3b47f7f98c31f2ddd04

8,848

py

Python

lib/arlunio/arlunio/image.py

swyddfa/stylo

4d6b348ce5812dc5c2554bfd21a1550375aa05e1

[ "MIT" ]

null

lib/arlunio/arlunio/image.py

swyddfa/stylo

4d6b348ce5812dc5c2554bfd21a1550375aa05e1

[ "MIT" ]

13

2019-06-02T21:26:52.000Z

2019-08-04T15:54:41.000Z

lib/arlunio/arlunio/image.py

swyddfa/stylo

4d6b348ce5812dc5c2554bfd21a1550375aa05e1

[ "MIT" ]

1

2019-07-08T17:00:56.000Z

from __future__ import annotations import base64 import io import logging import pathlib from typing import Optional # TODO: Remove these, as they should be contained in the numpy backend. import numpy as np import PIL.Image as PImage import arlunio.ast as ast import arlunio.color as color import arlunio.mask as mas...

26.570571

148

0.617315

1,154

8,848

4.690641

0.235702

0.02882

0.018105

0.014779

0.18474

0.155921

0.146314

0.133937

0.099575

0.063551

0

0.018996

0.268196

8,848

332

149

26.650602

0.816988

0.520231

0

0.020202

0

0.022859

0

0.003012

0

1

0.191919

false

0

0.121212

0.030303

0.464646

0

null

0

null

0

1

0

865a20fd18fa17925d3611f9138e1d796448c4ce

9,001

py

Python

yamlable/tests/test_yamlable.py

smarie/python-yamlable

c726f5c56eea037968560ce83f9753bde1514991

[ "BSD-3-Clause" ]

27

2018-07-12T17:09:41.000Z

2022-02-07T18:56:26.000Z

yamlable/tests/test_yamlable.py

smarie/python-yamlable

c726f5c56eea037968560ce83f9753bde1514991

[ "BSD-3-Clause" ]

14

2018-07-10T08:09:21.000Z

2022-03-02T15:29:56.000Z

yamlable/tests/test_yamlable.py

smarie/python-yamlable

c726f5c56eea037968560ce83f9753bde1514991

[ "BSD-3-Clause" ]

1

2020-09-22T16:13:51.000Z

from copy import copy try: # Python 2 only: from StringIO import StringIO # create a variant that can serve as a context manager class StringIO(StringIO): def __enter__(self): return self def __exit__(self, exception_type, exception_value, traceback): self.close(...

26.551622

115

0.56627

1,112

9,001

4.364209

0.146583

0.030291

0.036266

0.047599

0.653822

0.641665

0.614259

0.588296

0.567278

0

0.002646

0.328297

9,001

338

116

26.630178

0.800033

0.232196

0

0.639175

0

0.072947

0.027909

0

0.002959

0.139175

1

0.170103

false

0.025773

0.051546

0.06701

0.376289

0

null

0

null

0

1

0

865a984bc7cd45c042cff94434fa063630359314

29,537

py

Python

src/twisted/web/server.py

vmario/twisted

34f3d8f8c6f51772eaed92a89257ea011e9a818d

[ "Unlicense", "MIT" ]

null

src/twisted/web/server.py

vmario/twisted

34f3d8f8c6f51772eaed92a89257ea011e9a818d

[ "Unlicense", "MIT" ]

null

src/twisted/web/server.py

vmario/twisted

34f3d8f8c6f51772eaed92a89257ea011e9a818d

[ "Unlicense", "MIT" ]

null

# -*- test-case-name: twisted.web.test.test_web -*- # Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. """ This is a web server which integrates with the twisted.internet infrastructure. @var NOT_DONE_YET: A token value which L{twisted.web.resource.IResource.render} implementations can return...

32.601545

88

0.593561

3,276

29,537

5.295788

0.213065

0.008877

0.00807

0.007263

0.090783

0.055969

0.040636

0.03372

0.029454

0.02565

0

0.004778

0.312693

29,537

905

89

32.637569

0.84981

0.317026

0

0.161572

0

0.081838

0.013387

0

1

0.10917

false

0.002183

0.052402

0.004367

0.303493

0

null

0

null

0

1

0

865af347d7d59f9bd67eb9dbfa07a221fbd308e5

554

py

Python

Pset/hamming_numbers.py

MarkHershey/python-learning

8d6c87941af6db5878b59483526ed402f4b319b3

[ "MIT" ]

9

2020-06-05T17:01:23.000Z

2022-03-16T19:55:50.000Z

Pset/hamming_numbers.py

MarkHershey/python-learning

8d6c87941af6db5878b59483526ed402f4b319b3

[ "MIT" ]

null

Pset/hamming_numbers.py

MarkHershey/python-learning

8d6c87941af6db5878b59483526ed402f4b319b3

[ "MIT" ]

null

def hamming(n): """Returns the nth hamming number""" hamming = {1} x = 1 while len(hamming) <= n * 3.5: new_hamming = {1} for i in hamming: new_hamming.add(i * 2) new_hamming.add(i * 3) new_hamming.add(i * 5) # merge new number into hamming set...

24.086957

44

0.592058

77

554

4.194805

0.454545

0.154799

0.120743

0.130031

0

0.115385

0.296029

554

22

45

25.181818

0.712821

0.290614

0

1

0.076923

false

0

0.153846

0.076923

0

null

0

null

0

1

0

865bbf72a785e72699020e27186c8a54194bf255

1,615

py

Python

examples/python/test_as2.py

sloriot/cgal-swig-bindings

c9c5afdf64fa0c52f9c3785173159167ab2b3163

[ "BSL-1.0" ]

null

examples/python/test_as2.py

sloriot/cgal-swig-bindings

c9c5afdf64fa0c52f9c3785173159167ab2b3163

[ "BSL-1.0" ]

null

examples/python/test_as2.py

sloriot/cgal-swig-bindings

c9c5afdf64fa0c52f9c3785173159167ab2b3163

[ "BSL-1.0" ]

null

from CGAL.CGAL_Kernel import Point_2 from CGAL.CGAL_Kernel import Weighted_point_2 from CGAL.CGAL_Alpha_shape_2 import Alpha_shape_2 from CGAL.CGAL_Alpha_shape_2 import Weighted_alpha_shape_2 from CGAL.CGAL_Alpha_shape_2 import Weighted_alpha_shape_2_Face_handle from CGAL.CGAL_Alpha_shape_2 import GENERAL, EXTERIOR, SI...

26.47541

82

0.740557

293

1,615

3.764505

0.187713

0.108794

0.149592

0.107888

0.595648

0.453309

0.446963

0.359021

0

0.059626

0.138081

1,615

60

83

26.916667

0.732759

0

0.019195

0

1

0

false

0

0.191489

0

0.191489

0

null

0

null

0

1

0

865fa048751d6ad0bc743581cad5200b3338324d

2,192

py

Python

indico/web/forms/fields/protection.py

jgrigera/indico

b5538f2755bc38a02313d079bac831ee3dfb44ab

[ "MIT" ]

1

2018-11-12T21:29:26.000Z

indico/web/forms/fields/protection.py

jgrigera/indico

b5538f2755bc38a02313d079bac831ee3dfb44ab

[ "MIT" ]

9

2020-09-08T09:25:57.000Z

2022-01-13T02:59:05.000Z

indico/web/forms/fields/protection.py

jgrigera/indico

b5538f2755bc38a02313d079bac831ee3dfb44ab

[ "MIT" ]

3

2020-07-20T09:09:44.000Z

2020-10-19T00:29:49.000Z

# This file is part of Indico. # Copyright (C) 2002 - 2020 CERN # # Indico is free software; you can redistribute it and/or # modify it under the terms of the MIT License; see the # LICENSE file for more details. from __future__ import absolute_import, unicode_literals from flask import render_template from markupsaf...

45.666667

111

0.734945

268

2,192

5.701493

0.373134

0.107984

0.078534

0.031414

0.175393

0.146597

0.057592

0

0.005571

0.181113

2,192

47

112

46.638298

0.845682

0.091241

0

0.058824

0

0.091184

0.053401

0

1

0.058824

false

0

0.235294

0

0.411765

0

null

0

null

0

1

0

866094a72b6fdcd5bf322c232acd28e290c2c5aa

3,096

py

Python

solver.py

jacobchh/Sudoku-Solver

946a954e8eda234760872c55fcd2354dc0a8a4f9

[ "Apache-2.0" ]

1

2020-08-04T05:11:05.000Z

solver.py

jacobchh/Sudoku-Solver

946a954e8eda234760872c55fcd2354dc0a8a4f9

[ "Apache-2.0" ]

null

solver.py

jacobchh/Sudoku-Solver

946a954e8eda234760872c55fcd2354dc0a8a4f9

[ "Apache-2.0" ]

null

import numpy as np board = np.zeros(shape=(9, 9)) count = 0 def solve(): global count count += 1 if count % 1000 == 0: print('\rCurrent number of computations made:', count, end='') freePos = find() if freePos is None: return True i = freePos[0] j = freePos[1] for w in...

23.633588

105

0.440891

406

3,096

3.342365

0.238916

0.022108

0.056743

0.029477

0.344878

0.32056

0.296242

0

0.029963

0.396318

3,096

130

106

23.815385

0.696094

0.046835

0

0.514851

0

0.12466

0.013247

0

1

0.069307

false

0

0.009901

0

0.178218

0.19802

0

null

0

null

0

1

0

8660a9342ead6210c470087662e4e506c3d6349b

2,863

py

Python

nova/api/openstack/compute/used_limits.py

bopopescu/nova-8

768d7cc0a632e1a880f00c5840c1ec8051e161be

[ "Apache-2.0" ]

null

nova/api/openstack/compute/used_limits.py

bopopescu/nova-8

768d7cc0a632e1a880f00c5840c1ec8051e161be

[ "Apache-2.0" ]

null

nova/api/openstack/compute/used_limits.py

bopopescu/nova-8

768d7cc0a632e1a880f00c5840c1ec8051e161be

[ "Apache-2.0" ]

1

2020-07-22T21:09:15.000Z

# Copyright 2012 OpenStack Foundation # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...

35.7875

78

0.625218

321

2,863

5.395639

0.423676

0.034642

0.025404

0.046189

0.161663

0.116628

0.079677

0

0.00441

0.287111

2,863

79

36.240506

0.844194

0.204331

0

0.181818

0

0.151502

0.02871

0

1

0.054545

false

0

0.109091

0

0.254545

0

null

0

null

0

1

0

86612e58c1d3c9004b21a40197263a8e6dc182a5

7,362

py

Python

tf_agents/bandits/agents/examples/v2/trainer.py

howards11/agents

8d5627d9b9c3680468a63564c25a4d82fa1befb0

[ "Apache-2.0" ]

3,175

2017-09-08T18:28:32.000Z

2022-03-31T01:32:22.000Z

tf_agents/bandits/agents/examples/v2/trainer.py

MFosset/agents

756f7bdf493986c25eb585438134f1dbb8045b1b

[ "Apache-2.0" ]

703

2017-09-18T05:51:57.000Z

2022-03-31T17:37:50.000Z

tf_agents/bandits/agents/examples/v2/trainer.py

MFosset/agents

756f7bdf493986c25eb585438134f1dbb8045b1b

[ "Apache-2.0" ]

844

2017-09-08T23:28:57.000Z

2022-03-30T09:29:32.000Z

# coding=utf-8 # Copyright 2020 The TF-Agents 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable la...

37.948454

89

0.740424

966

7,362

5.380952

0.291925

0.027703

0.01616

0.034629

0.175644

0.103117

0.078107

0.060793

0

0.004341

0.186362

7,362

193

90

38.145078

0.863439

0.338631

0

0.035088

0

0.030659

0

0.005181

0

1

0.061404

false

0.008772

0.096491

0

0.192982

0.008772

0

null

0

null

0

1

0

86614dcad65e20388a5967a40083bdb556db6db0

2,469

py

Python

rally_openstack/cfg/manila.py

RSE-Cambridge/rally-openstack

32bbc091bbce1db625a2fc22da28b32718befa13

[ "Apache-2.0" ]

null

rally_openstack/cfg/manila.py

RSE-Cambridge/rally-openstack

32bbc091bbce1db625a2fc22da28b32718befa13

[ "Apache-2.0" ]

null

rally_openstack/cfg/manila.py

RSE-Cambridge/rally-openstack

32bbc091bbce1db625a2fc22da28b32718befa13

[ "Apache-2.0" ]

1

2018-12-10T12:31:27.000Z

# Copyright 2013: Mirantis Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required b...

35.271429

78

0.651681

288

2,469

5.444444

0.354167

0.070153

0.097577

0.143495

0.638393

0.579719

0.524235

0.446429

0.432398

0

0.018569

0.258404

2,469

69

79

35.782609

0.837794

0.243013

0

0.660377

0

0.443366

0.149407

0

1

0

false

0

0.018868

0

0.018868

0

null

0

null

0

1

0

86624e00bb7b419aff83121a582546742f805433

571

py

Python

app/backend/app/crud/crud_register_invoice.py

matayoos/invoice-scrapper

d36c944c10714e61d304693d0fce28769d2a746a

[ "MIT" ]

null

app/backend/app/crud/crud_register_invoice.py

matayoos/invoice-scrapper

d36c944c10714e61d304693d0fce28769d2a746a

[ "MIT" ]

null

app/backend/app/crud/crud_register_invoice.py

matayoos/invoice-scrapper

d36c944c10714e61d304693d0fce28769d2a746a

[ "MIT" ]

null

from sqlalchemy.orm.session import Session from app import crud from .utils import insert, get_content def register_invoice(db: Session, url: str): content = get_content.get_invoice_info(url) grocery_store_id = insert.insert_grocery_store_info( db, obj_in=content["grocery_store"] ) invoice_...

27.190476

83

0.749562

83

571

4.807229

0.313253

0.180451

0.140351

0.100251

0.220551

0

0.161121

571

20

84

28.55

0.832985

0

0.043783

0

1

0.076923

false

0

0.230769

0

0.384615

0

null

0

null

0

1

0

8666c057450744d94668536ee8580d907346f31a

28,602

py

Python

tools/genapixml.py

garronej/linphone

f61a337f5363b991d6e866a6aa7d303658c04073

[ "BSD-2-Clause" ]

null

tools/genapixml.py

garronej/linphone

f61a337f5363b991d6e866a6aa7d303658c04073

[ "BSD-2-Clause" ]

null

tools/genapixml.py

garronej/linphone

f61a337f5363b991d6e866a6aa7d303658c04073

[ "BSD-2-Clause" ]

1

2021-03-17T10:04:06.000Z

#!/usr/bin/python # Copyright (C) 2014 Belledonne Communications SARL # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version....

35.977358

149

0.706559

3,369

28,602

5.897596

0.133868

0.017313

0.014042

0.008153

0.373144

0.321204

0.278424

0.232926

0.213196

0.208868

0

0.003129

0.161912

28,602

794

150

36.02267

0.825748

0.035767

0

0.267806

0

0.004274

0.120401

0.045214

0

1

0.071225

false

0.001425

0.011396

0.005698

0.135328

0.029915

0

null

0

null

0

1

0

86686cf65534bfae5dd8d13670449f7c68cf0bb3

2,226

py

Python

yolk/test/utils.py

yolkdata/yolk-python

978d98cbe637c1309a1be766a40bb874e996c61d

[ "MIT", "Unlicense" ]

null

yolk/test/utils.py

yolkdata/yolk-python

978d98cbe637c1309a1be766a40bb874e996c61d

[ "MIT", "Unlicense" ]

null

yolk/test/utils.py

yolkdata/yolk-python

978d98cbe637c1309a1be766a40bb874e996c61d

[ "MIT", "Unlicense" ]

null

from datetime import date, datetime, timedelta from decimal import Decimal import unittest from dateutil.tz import tzutc import six from yolk import utils class TestUtils(unittest.TestCase): def test_timezone_utils(self): now = datetime.now() utcnow = datetime.now(tz=tzutc()) self.asser...

28.177215

75

0.574573

245

2,226

5.081633

0.37551

0.084337

0.041767

0.036948

0.15261

0.104418

0

0.023718

0.299191

2,226

78

76

28.538462

0.774359

0

0.032787

0

0.093441

0

0.163934

1

0.098361

false

0

0.098361

0

0.213115

0

null

0

null

0

1

0

866878f76f3d3d6bb3a8d89014200d8e8b85019b

2,797

py

Python

09Scan/matrix.py

kw1122/MKS66

25986e79077692afbc085920af1fef276c22d967

[ "MIT" ]

null

09Scan/matrix.py

kw1122/MKS66

25986e79077692afbc085920af1fef276c22d967

[ "MIT" ]

null

09Scan/matrix.py

kw1122/MKS66

25986e79077692afbc085920af1fef276c22d967

[ "MIT" ]

null

""" A matrix will be an N sized list of 4 element lists. Each individual list will represent an [x, y, z, 1] point. For multiplication purposes, consider the lists like so: x0 x1 xn y0 y1 yn z0 z1 ... zn 1 1 1 """ import math def make_bezier(): return [ [-1, 3, -3, 1], ...

22.739837

59

0.464784

442

2,797

2.895928

0.244344

0.05625

0.060938

0.355469

0.317969

0.235938

0.21875

0.217188

0.185938

0

0.06843

0.378262

2,797

122

60

22.92623

0.667625

0.167322

0

0.315217

0

0.00456

0

1

0.130435

false

0

0.01087

0.021739

0.23913

0.021739

0

null

0

null

0

1

0

866977a21872a2e8438dbbd5f5b289547da5a50c

641

py

Python

app/flaskApp/config.py

jeanmarc2019/PTHacks2019-Planning

bc0c71588187fde8498494b3e74728c09de56f18

[ "MIT" ]

null

app/flaskApp/config.py

jeanmarc2019/PTHacks2019-Planning

bc0c71588187fde8498494b3e74728c09de56f18

[ "MIT" ]

null

app/flaskApp/config.py

jeanmarc2019/PTHacks2019-Planning

bc0c71588187fde8498494b3e74728c09de56f18

[ "MIT" ]

null

import configparser import os dir_path = os.path.dirname(os.path.realpath(__file__)) dir_path += '/cfg.ini' class Configuration(object): def __init__(self,debug=False): section = "Flask-debug" if debug else "Flask" cfg = configparser.ConfigParser() cfg.read(dir_path if debug e...

29.136364

73

0.669267

84

641

4.904762

0.440476

0.050971

0.053398

0

0.199688

641

21

74

30.52381

0.803119

0

0.148206

0.046802

0

1

0.071429

false

0

0.142857

0

0.285714

0

null

0

null

0

1

0

866b4e64606eb0b8b047d742a5c885f477addc0c

1,551

py

Python

authentication/migrate.py

anae09/electionWebService

756968e5cd6db1422ae5fe8445a9e92a25953073

[ "MIT" ]

null

authentication/migrate.py

anae09/electionWebService

756968e5cd6db1422ae5fe8445a9e92a25953073

[ "MIT" ]

null

authentication/migrate.py

anae09/electionWebService

756968e5cd6db1422ae5fe8445a9e92a25953073

[ "MIT" ]

null

from flask import Flask; from configuration import Configuration; from flask_migrate import Migrate, init, migrate, upgrade; from models import database, Role, UserRole, User; from sqlalchemy_utils import database_exists, create_database; application = Flask(__name__); application.config.from_object(Configuration); m...

28.2

78

0.595745

144

1,551

6.298611

0.395833

0.115766

0.079383

0.077178

0.187431

0.103638

0

0.012975

0.30432

1,551

54

79

28.722222

0.827618

0

0.170732

0

0.078659

0.029658

0

1

0

false

0.02439

0.121951

0

0.121951

0.02439

0

null

0

null

0

1

0

866b8b6db3282415cf332ea707795a1897c51203

4,066

py

Python

output/ensemble_analysis.py

gitter-lab/pria-ams-enamine

b37bc7edf3c21af6653267ecd4bb9fd232eeb575

[ "MIT" ]

1

2021-09-28T23:10:05.000Z

output/ensemble_analysis.py

gitter-lab/pria-ams-enamine

b37bc7edf3c21af6653267ecd4bb9fd232eeb575

[ "MIT" ]

null

output/ensemble_analysis.py

gitter-lab/pria-ams-enamine

b37bc7edf3c21af6653267ecd4bb9fd232eeb575

[ "MIT" ]

null

from __future__ import print_function import os import json import numpy as np def extract(file_path): if not os.path.isfile(file_path): return -1, -1, -1 with open(file_path, 'r') as f: lines = f.readlines() test_roc, test_precision, test_NEF = -1, -1, -1 for line ...

42.354167

171

0.58485

518

4,066

4.303089

0.34556

0.037685

0.080754

0.051144

0.445491

0.403769

0.349933

0.324809

0.248542

0

0.107475

0.286031

4,066

96

172

42.354167

0.660351

0

0.25641

0

0.135448

0.074018

0

1

0.012821

false

0

0.051282

0

0.089744

0.115385

0

null

0

null

0

1

0

866be250cb91ad06867da752bf60c3e580b71448

1,687

py

Python

openstack_dashboard/test/integration_tests/regions/messages.py

ankur-gupta91/block_storage

938548a3d4507dc56c1c26b442767eb41aa2e610

[ "Apache-2.0" ]

1

2021-01-02T03:34:19.000Z

openstack_dashboard/test/integration_tests/regions/messages.py

ankur-gupta91/block_storage

938548a3d4507dc56c1c26b442767eb41aa2e610

[ "Apache-2.0" ]

null

openstack_dashboard/test/integration_tests/regions/messages.py

ankur-gupta91/block_storage

938548a3d4507dc56c1c26b442767eb41aa2e610

[ "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 # d...

36.673913

79

0.711322

224

1,687

5.165179

0.535714

0.051858

0.022472

0.027658

0

0.003731

0.205691

1,687

45

80

37.488889

0.859701

0.405453

0

0.054767

0

1

0.173913

false

0

0.130435

0.086957

0.478261

0

null

0

null

0

1

0

866d362b7d20329b9a8556ff353eba1624b11b05

8,175

py

Python

model_input.py

bgarbin/GUIDE

06bca4e696b97ca14c11d74844d3b3ab7287f8f1

[ "MIT" ]

null

model_input.py

bgarbin/GUIDE

06bca4e696b97ca14c11d74844d3b3ab7287f8f1

[ "MIT" ]

null

model_input.py

bgarbin/GUIDE

06bca4e696b97ca14c11d74844d3b3ab7287f8f1

[ "MIT" ]

null

# -*- coding: utf-8 -*- import numpy as np #import cmath as cm # Main parameters for window # 'record_every': number of time_steps one between two consecutive record events window_params = {'kernel': 'RK4','nstep_update_plot': 100, 'step_size': 0.01, 'array_size': 10000, 'streaming': True, 'record_state':False, ...

65.4

761

0.651865

1,191

8,175

4.361041

0.235936

0.035425

0.020793

0.022911

0.371005

0.337505

0.295918

0.240855

0.198883

0.185791

0

0.032697

0.154495

8,175

124

762

65.927419

0.71875

0.431437

0

0.318399

0

1

0.2

false

0.014286

0.085714

0.385714

0.028571

0

null

0

null

0

1

0

866eb114075c78f8e3231df363ccab857402a80e

1,464

py

Python

input/EnvEq/pairwise/Tneg-Tpro/u_lim_o2Tpro-u_lim_o2Tneg/parallelizer.py

Harshavardhan-BV/Cancer-compe-strat

e4decacd5779e85a68c81d0ce3bedf42dea2964f

[ "MIT" ]

1

2020-10-18T15:54:26.000Z

input/EnvEq/pairwise/Tneg-Tpro/u_lim_o2Tpro-u_lim_o2Tneg/parallelizer.py

Harshavardhan-BV/Cancer-compe-strat

e4decacd5779e85a68c81d0ce3bedf42dea2964f

[ "MIT" ]

null

input/EnvEq/pairwise/Tneg-Tpro/u_lim_o2Tpro-u_lim_o2Tneg/parallelizer.py

Harshavardhan-BV/Cancer-compe-strat

e4decacd5779e85a68c81d0ce3bedf42dea2964f

[ "MIT" ]

null

from multiprocessing import Pool import EnvEq as ee import numpy as np import itertools as it import os #parsing input into numpy arrays from input import * y0=np.array([y0_Tpos,y0_Tpro,y0_Tneg,y0_o2,y0_test]) p=np.array([p_o2,p_test]) mu=np.array([[mu_o2Tpos,mu_o2Tpro,mu_o2Tneg],[mu_testTpos,mu_testTpro,0]]) lam=np.a...

34.046512

190

0.733607

296

1,464

3.317568

0.327703

0.040733

0.03055

0.020367

0.059063

0.03055

0

0.046353

0.101093

1,464

42

191

34.857143

0.699848

0.125

0

0.034483

0.018025

0

1

0.030303

false

0.030303

0.181818

0

0.212121

0

null

0

null

0

1

0

866f56e685c4eea3f8e5c6a81ebbf185f955f32d

4,495

py

Python

task1_makeTrainingDataset.py

1985312383/contest

c4734647ad436cf5884075f906a3e9f10fc4dcfa

[ "Apache-2.0" ]

2

2021-12-10T08:38:47.000Z

2021-12-31T08:44:18.000Z

task1_makeTrainingDataset.py

huxiaoyi0625/Mathematical_Modeling_Contest_E_2021

40293aa2375daa46d2351870c72394d4e1114081

[ "Apache-2.0" ]

null

task1_makeTrainingDataset.py

huxiaoyi0625/Mathematical_Modeling_Contest_E_2021

40293aa2375daa46d2351870c72394d4e1114081

[ "Apache-2.0" ]

null

import csv import re import numpy as np thre = 1.5 # 要调整的参数,这个是阈值 iteration_num = 2 # 要调整的参数，这个是迭代次数 def KalmanFilter(z, n_iter=20): # 卡尔曼滤波 # 这里是假设A=1，H=1的情况 # intial parameters sz = (n_iter,) # size of array # Q = 1e-5 # process variance Q = 1e-6 # process variance # allocate space...

36.544715

117

0.602447

691

4,495

3.761216

0.259045

0.111581

0.038092

0.021162

0.172374

0.104656

0.060023

0.003848

0

0.026956

0.240712

4,495

122

118

36.844262

0.734544

0.193103

0

0.033333

0

0.011111

0.051854

0.037078

0

1

0.055556

false

0.011111

0.033333

0

0.111111

0

null

0

null

0

1

0

86720b27c369fdf8140425890d2127c46b5bc111

24,252

py

Python

editing files/Portable Python 3.2.5.1/App/Lib/site-packages/serial/serialposix.py

mattl1598/testing

cd8124773b83a07301c507ffbb9ccaafbfe7a274

[ "Unlicense" ]

null

editing files/Portable Python 3.2.5.1/App/Lib/site-packages/serial/serialposix.py

mattl1598/testing

cd8124773b83a07301c507ffbb9ccaafbfe7a274

[ "Unlicense" ]

1

2018-04-15T22:59:15.000Z

editing files/Portable Python 3.2.5.1/App/Lib/site-packages/serial/serialposix.py

mattl1598/Project-Mochachino

cd8124773b83a07301c507ffbb9ccaafbfe7a274

[ "Unlicense" ]

null

#!/usr/bin/env python # # Python Serial Port Extension for Win32, Linux, BSD, Jython # module for serial IO for POSIX compatible systems, like Linux # see __init__.py # # (C) 2001-2010 Chris Liechti <cliechti@gmx.net> # this is distributed under a free software license, see license.txt # # parts based on code from Gran...

37.253456

117

0.601023

3,031

24,252

4.74101

0.230287

0.022547

0.013779

0.012526

0.304384

0.262004

0.23723

0.212596

0.177314

0.170007

0

0.036041

0.302119

24,252

650

118

37.310769

0.812999

0.250247

0

0.323256

0

0.106066

0

0.006391

0

1

0.106977

false

0.006977

0.018605

0.027907

0.183721

0

null

0

null

0

1

0

867600e9a45eebd6cdfd857a6ba6c53cc063cb70

845

py

Python

retro_star/utils/logger.py

cthoyt/retro_star

280231eb2f5dffc0e14bed300d770977b323205a

[ "MIT" ]

65

2020-06-27T04:28:21.000Z

2022-03-30T11:18:22.000Z

retro_star/utils/logger.py

cthoyt/retro_star

280231eb2f5dffc0e14bed300d770977b323205a

[ "MIT" ]

15

2020-07-07T13:17:05.000Z

2022-03-22T12:52:29.000Z

retro_star/utils/logger.py

cthoyt/retro_star

280231eb2f5dffc0e14bed300d770977b323205a

[ "MIT" ]

14

2020-06-30T09:22:13.000Z

2022-03-30T11:18:28.000Z

import logging def setup_logger(fname=None, silent=False): if fname is None: logging.basicConfig( level=logging.INFO if not silent else logging.CRITICAL, format='%(name)-12s: %(levelname)-8s %(message)s', datefmt='%m-%d %H:%M', filemode='w' ) els...

33.8

81

0.571598

91

845

5.296703

0.428571

0.068465

0.099585

0.112033

0.497925

0.443983

0

0.014901

0.285207

845

24

82

35.208333

0.783113

0

0.363636

0

0.183432

0

1

0.045455

false

0

0.045455

0

0.090909

0

null

0

null

0

1

0

86760e9869adb9d8e359c444118b7fb153ad2c74

63,014

py

Python

Packs/MISP/Integrations/MISPV3/MISPV3.py

hiep4hiep/content

f609c4c9548fe2188e8e2e00b2c9e80a74e24427

[ "MIT" ]

null

Packs/MISP/Integrations/MISPV3/MISPV3.py

hiep4hiep/content

f609c4c9548fe2188e8e2e00b2c9e80a74e24427

[ "MIT" ]

42

2022-03-11T10:52:26.000Z

2022-03-31T01:50:42.000Z

Packs/MISP/Integrations/MISPV3/MISPV3.py

hiep4hiep/content

f609c4c9548fe2188e8e2e00b2c9e80a74e24427

[ "MIT" ]

null

# type: ignore from typing import Union, List, Dict from urllib.parse import urlparse import urllib3 from pymisp import ExpandedPyMISP, PyMISPError, MISPObject, MISPSighting, MISPEvent, MISPAttribute from pymisp.tools import GenericObjectGenerator import copy from pymisp.tools import FileObject from CommonServerPytho...

41.869767

120

0.674295

8,050

63,014

5.019876

0.085466

0.025588

0.019055

0.01465

0.406533

0.334967

0.282999

0.235882

0.198293

0.161594

0

0.003746

0.224775

63,014

1,504

121

41.897606

0.823378

0.152442

0

0.202912

0

0.00546

0.177397

0.017067

0

1

0.057325

false

0.00273

0.007279

0.00091

0.134668

0

null

0

null

0

1

0

8678e0fdfc11399c75f91f8ec0af910ceb4aab00

3,212

py

Python

python_survey/finished_files/main.py

trenton3983/PyCharmProjects

fae8653a25e07e7384eb0ddf6ea191adeb44face

[ "MIT" ]

null

python_survey/finished_files/main.py

trenton3983/PyCharmProjects

fae8653a25e07e7384eb0ddf6ea191adeb44face

[ "MIT" ]

null

python_survey/finished_files/main.py

trenton3983/PyCharmProjects

fae8653a25e07e7384eb0ddf6ea191adeb44face

[ "MIT" ]

null

import pandas as pd import numpy as np import matplotlib.pyplot as plt import scipy.stats from finished_files.survey_data_dictionary import DATA_DICTIONARY # Load data # We want to take the names list from our data dictionary names = [x.name for x in DATA_DICTIONARY] # Generate the list of names to import usecols =...

31.184466

79

0.699253

515

3,212

4.264078

0.384466

0.051002

0.010929

0.018215

0.160747

0.075137

0

0.014965

0.188668

3,212

103

80

31.184466

0.827705

0.362702

0

0.039216

0

0.195749

0.091943

0

1

0

false

0

0.098039

0

0.098039

0.058824

0

null

0

null

0

1

0

8679399f0ab155a65d5523949359b9a4e0752af4

4,918

py

Python

adet/modeling/embedmask/mask_pred.py

yinghdb/AdelaiDet

94a9b7cde92fb039852f876964d991a1f3e15af4

[ "BSD-2-Clause" ]

3

2021-05-21T08:02:48.000Z

2021-11-05T11:06:40.000Z

adet/modeling/embedmask/mask_pred.py

yinghdb/AdelaiDet

94a9b7cde92fb039852f876964d991a1f3e15af4

[ "BSD-2-Clause" ]

null

adet/modeling/embedmask/mask_pred.py

yinghdb/AdelaiDet

94a9b7cde92fb039852f876964d991a1f3e15af4

[ "BSD-2-Clause" ]

1

2021-05-24T06:53:32.000Z

import torch from torch.nn import functional as F from torch import nn from torch.autograd import Variable from adet.utils.comm import compute_locations, aligned_bilinear def dice_coefficient(x, target): eps = 1e-5 n_inst = x.size(0) x = x.reshape(n_inst, -1) target = target.reshape(n_inst, -1) in...

36.42963

135

0.637861

698

4,918

4.239255

0.23639

0.032443

0.033119

0.017574

0.25414

0.196688

0.165259

0.129774

0.104765

0.077729

0

0.01898

0.250102

4,918

134

136

36.701493

0.783351

0.06344

0

0.153061

0

0.01096

0

0.020408

1

0.081633

false

0

0.05102

0.010204

0.234694

0

null

0

null

0

1

0

8679dfd086b9b3768ebf7c42ebcbb01fc263b720

2,569

py

Python

bongo/core.py

codeforamerica/bongo

a1b162c54fc51630ae1cfac16e1c136b0ff320a3

[ "BSD-3-Clause" ]

null

bongo/core.py

codeforamerica/bongo

a1b162c54fc51630ae1cfac16e1c136b0ff320a3

[ "BSD-3-Clause" ]

null

bongo/core.py

codeforamerica/bongo

a1b162c54fc51630ae1cfac16e1c136b0ff320a3

[ "BSD-3-Clause" ]

1

2021-04-17T10:21:05.000Z

""" A simple wrapper for the Bongo Iowa City bus API. """ import requests as req class Bongo(object): """ A simple Python wrapper for the Bongo Iowa City bus API. """ def __init__(self, format='json'): self.format = format def get(self, endpoint, **kwargs): """Perform a HTTP GET...

27.623656

72

0.534838

280

2,569

4.885714

0.310714

0.04386

0.028509

0.046053

0.180556

0.128655

0.084795

0

0.023269

0.330868

2,569

92

73

27.923913

0.772542

0.318801

0

0.238095

0

0.088699

0

1

0.190476

false

0

0.02381

0

0.404762

0

null

0

null

0

1

0

867a45f315cdcc7854ea80a22125e3ed4f3423db

1,671

py

Python

src/security/tcp_flooding.py

janaSunrise/useful-python-snippets

f03285b8f0b44f87326ca982129dab80a18697f5

[ "Apache-2.0" ]

1

2021-03-15T16:48:05.000Z

src/security/tcp_flooding.py

janaSunrise/useful-python-snippets

f03285b8f0b44f87326ca982129dab80a18697f5

[ "Apache-2.0" ]

null

src/security/tcp_flooding.py

janaSunrise/useful-python-snippets

f03285b8f0b44f87326ca982129dab80a18697f5

[ "Apache-2.0" ]

null

import random import socket import string import sys import threading import time def attack(host: str, port: int = 80, request_count: int = 10 ** 10) -> None: # Threading support thread_num = 0 thread_num_mutex = threading.Lock() # Utility function def print_status() -> None: global thre...

26.109375

88

0.591263

209

1,671

4.583732

0.497608

0.065762

0.043841

0

0.015715

0.276481

1,671

63

89

26.52381

0.776675

0.020347

0

0.043478

0

0.134639

0.014688

0

1

0.086957

false

0

0.130435

0

0.23913

0.108696

0

null

0

null

0

1

0

867addf71ccf4a2d2cc021bb3410dbc784317269

319

py

Python

test.py

wangjm12138/Yolov3_wang

3d143c7cd863dec796edede3faedacc6590cab5e

[ "MIT" ]

null

test.py

wangjm12138/Yolov3_wang

3d143c7cd863dec796edede3faedacc6590cab5e

[ "MIT" ]

8

2020-01-28T22:17:25.000Z

2022-03-12T00:04:30.000Z

test.py

wangjm12138/Yolov3_wang

3d143c7cd863dec796edede3faedacc6590cab5e

[ "MIT" ]

null

import random class Yolov3(object): def __init__(self): self.num=0 self.input_size=[8,16,32] def __iter__(self): return self def __next__(self): a = random.choice(self.input_size) self.num=self.num+1 if self.num<3: return a else: raise StopIteration yolo=Yolov3() for data in yolo: print(data)

16.789474

36

0.702194

53

319

3.962264

0.584906

0.133333

0.12381

0

0.038023

0.175549

319

18

37

17.722222

0.760456

0

1

0.176471

false

0

0.058824

0.411765

0.058824

0

null

0

null

0

1

0

867b9f7391f64037b68d280aea495bc5295d4119

1,256

py

Python

utils/turkish.py

derenyilmaz/personality-analysis-framework

9e1f3ac1047b1df07498159de23f88f87644d195

[ "MIT" ]

1

2021-09-15T14:44:45.000Z

utils/turkish.py

derenyilmaz/personality-analysis-framework

9e1f3ac1047b1df07498159de23f88f87644d195

[ "MIT" ]

1

2022-03-12T00:48:01.000Z

utils/turkish.py

derenyilmaz/personality-analysis-framework

9e1f3ac1047b1df07498159de23f88f87644d195

[ "MIT" ]

null

class TurkishText(): """Class for handling lowercase/uppercase conversions of Turkish characters.. Attributes: text -- Turkish text to be handled """ text = "" l = ['ı', 'ğ', 'ü', 'ş', 'i', 'ö', 'ç'] u = ['I', 'Ğ', 'Ü', 'Ş', 'İ', 'Ö', 'Ç'] def __init__(self, text): self.te...

26.166667

86

0.468153

151

1,256

3.874172

0.344371

0.068376

0.047863

0.046154

0.283761

0.157265

0

0.003891

0.386147

1,256

47

87

26.723404

0.753567

0.265924

0

0.321429

0

0.017921

0

1

0.142857

false

0

0.392857

0

null

0

null

0

1

0

868018c92dba01d6288623e8f84851ac57ade115

3,427

py

Python

tf/estimators/keras_estimator.py

aspratyush/dl_utils

c067831f3c72aba88223c231c7fbc249d997e222

[ "Apache-2.0" ]

null

tf/estimators/keras_estimator.py

aspratyush/dl_utils

c067831f3c72aba88223c231c7fbc249d997e222

[ "Apache-2.0" ]

null

tf/estimators/keras_estimator.py

aspratyush/dl_utils

c067831f3c72aba88223c231c7fbc249d997e222

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function # Imports import os import numpy as np import tensorflow as tf def run(model, X, Y, optimizer=None, nb_epochs=30, nb_batches=128): """ Run the estimator """ if optimizer is None: optim...

31.731481

85

0.66443

463

3,427

4.688985

0.25054

0.051589

0.023952

0.033164

0.376785

0.361124

0.330723

0.239521

0

0.017202

0.23665

3,427

107

86

32.028037

0.812691

0.254158

0

0.218182

0

0.056718

0.019308

0

1

0.036364

false

0

0.109091

0

0.181818

0.090909

0

null

0

null

0

1

0

8681c3c33618ecd1ae623aef1502da24ff44d7f8

15,279

py

Python

isign/archive.py

l0ui3/isign

c0730ac1ce1b32defe8c6016e19b9701184b0f5a

[ "Apache-2.0" ]

1

2020-03-24T14:22:17.000Z

isign/archive.py

l0ui3/isign

c0730ac1ce1b32defe8c6016e19b9701184b0f5a

[ "Apache-2.0" ]

null

isign/archive.py

l0ui3/isign

c0730ac1ce1b32defe8c6016e19b9701184b0f5a

[ "Apache-2.0" ]

1

2021-08-16T04:03:25.000Z

""" Represents an app archive. This is an app at rest, whether it's a naked app bundle in a directory, or a zipped app bundle, or an IPA. We have a common interface to extract these apps to a temp file, then resign them, and create an archive of the same type """ import abc import biplist from bundle impor...

37.540541

97

0.638458

1,978

15,279

4.749747

0.189585

0.027781

0.039808

0.015647

0.22363

0.173922

0.124747

0.107078

0.094518

0.08579

0

0.000906

0.277243

15,279

406

98

37.633005

0.84986

0.258328

0

0.340659

0

0.070612

0.004207

0

1

0.117216

false

0.018315

0.051282

0.014652

0.296703

0

null

0

null

0

1

0

86852eaa353d7f71b07181e8c40327dffa81fc7f

12,985

py

Python

config/appdaemon/apps/power_alarm.py

azogue/hassio_config

591f158794c173d6391179ab2f52348d58c49aad

[ "MIT" ]

18

2018-07-22T15:19:20.000Z

2022-01-09T20:57:43.000Z

config/appdaemon/apps/power_alarm.py

azogue/hassio_config

591f158794c173d6391179ab2f52348d58c49aad

[ "MIT" ]

1

2020-04-30T08:33:36.000Z

2020-05-03T08:25:00.000Z

config/appdaemon/apps/power_alarm.py

azogue/hassio_config

591f158794c173d6391179ab2f52348d58c49aad

[ "MIT" ]

8

2018-07-21T09:29:53.000Z

2021-11-10T19:06:32.000Z

# -*- coding: utf-8 -*- """ Automation task as a AppDaemon App for Home Assistant - current meter PEAK POWER notifications """ import datetime as dt from enum import IntEnum import appdaemon.plugins.hass.hassapi as hass LOG_LEVEL = "INFO" LOG_LEVEL_ALERT = "WARNING" LOGGER = "special_event_log" COEF_CRITICAL_LIMIT ...

35.285326

79

0.5196

1,368

12,985

4.602339

0.190789

0.03669

0.035737

0.021125

0.394854

0.310515

0.254288

0.214263

0.16026

0.141677

0

0.006724

0.392992

12,985

367

80

35.381471

0.791931

0.082095

0

0.40411

0

0.1353

0.018677

0

0.002725

0

1

0.023973

false

0

0.010274

0

0.123288

0

null

0

null

0

1

0

86857d42e426b63b37d2aa71caa37b9b57dd862e

13,391

py

Python

mailmynet/Maildir/proxy_postfix/Twisted-11.0.0/build/lib.linux-x86_64-2.6/twisted/internet/gtk2reactor.py

SPIN-UMass/SWEET

1b0f39222e7064f70812e3293ca023619295741d

[ "MIT" ]

3

2020-04-02T06:23:44.000Z

2020-08-13T20:32:31.000Z

mailmynet/Maildir/proxy_postfix/Twisted-11.0.0/twisted/internet/gtk2reactor.py

SPIN-UMass/SWEET

1b0f39222e7064f70812e3293ca023619295741d

[ "MIT" ]

null

mailmynet/Maildir/proxy_postfix/Twisted-11.0.0/twisted/internet/gtk2reactor.py

SPIN-UMass/SWEET

1b0f39222e7064f70812e3293ca023619295741d

[ "MIT" ]

1

2020-04-02T06:26:10.000Z

# -*- test-case-name: twisted.internet.test -*- # Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. """ This module provides support for Twisted to interact with the glib/gtk2 mainloop. In order to use this support, simply do the following:: | from twisted.internet import gtk2reactor | ...

33.394015

92

0.633933

1,604

13,391

5.193267

0.26808

0.023409

0.015126

0.013806

0.219208

0.196399

0.154382

0.144778

0.132533

0

0.00752

0.284968

13,391

400

93

33.4775

0.862454

0.356135

0

0.295337

0

0.01323

0

1

0.134715

false

0.005181

0.082902

0.005181

0.310881

0

null

0

null

0

1

0

8687420e46b4f12f33134641d5dcf6986b995994

4,012

py

Python

bot.py

menlen/one

e24f1489d98faa9b548ebd668f2860c8d671b489

[ "Apache-2.0" ]

null

bot.py

menlen/one

e24f1489d98faa9b548ebd668f2860c8d671b489

[ "Apache-2.0" ]

null

bot.py

menlen/one

e24f1489d98faa9b548ebd668f2860c8d671b489

[ "Apache-2.0" ]

null

# This example show how to use inline keyboards and process button presses import telebot import time from telebot.types import InlineKeyboardMarkup, InlineKeyboardButton import os, sys from PIL import Image, ImageDraw, ImageFont import random TELEGRAM_TOKEN = '1425859530:AAF5MQE87Zg_bv3B2RLe3Vl2A5rMz6vYpsA' ...

30.861538

181

0.592722

483

4,012

4.815735

0.428571

0.017197

0.020636

0.018057

0.195185

0.187446

0.171109

0.153912

0

0.023554

0.280409

4,012

129

182

31.100775

0.782127

0.053091

0

0.141509

0

0.018868

0.247884

0.028665

0

1

0.056604

false

0

0.056604

0

0.141509

0

null

0

null

0

1

0

86880b5b73b7634f999e8879e1b07c2360a00ae8

6,256

py

Python

tests/unit/types/message/test_message.py

Immich/jina

1f5f7cf4d82029d76ab41df157526fe6f6e0da50

[ "Apache-2.0" ]

1

2021-02-25T19:28:50.000Z

tests/unit/types/message/test_message.py

Immich/jina

1f5f7cf4d82029d76ab41df157526fe6f6e0da50

[ "Apache-2.0" ]

4

2020-09-01T17:47:27.000Z

2021-04-16T23:11:57.000Z

tests/unit/types/message/test_message.py

Immich/jina

1f5f7cf4d82029d76ab41df157526fe6f6e0da50

[ "Apache-2.0" ]

null

import sys from typing import Sequence import pytest from jina import Request, QueryLang, Document from jina.clients.request import request_generator from jina.proto import jina_pb2 from jina.proto.jina_pb2 import EnvelopeProto from jina.types.message import Message from jina.types.request import _trigger_fields from...

32.082051

111

0.634431

853

6,256

4.520516

0.141852

0.023859

0.035788

0.033714

0.610737

0.544865

0.509855

0.466805

0.449689

0

0.019796

0.249041

6,256

194

112

32.247423

0.800979

0.037884

0

0.426573

0

0.036137

0

0.370629

1

0.090909

false

0

0.06993

0

0.160839

0.013986

0

null

0

null

0

1

0

868a5177cfe7a43dcc855371fdd275a394644658

2,074

py

Python

homeassistant/components/eight_sleep/binary_sensor.py

liangleslie/core

cc807b4d597daaaadc92df4a93c6e30da4f570c6

[ "Apache-2.0" ]

2

2020-01-03T17:06:33.000Z

2020-01-13T18:57:32.000Z

homeassistant/components/eight_sleep/binary_sensor.py

liangleslie/core

cc807b4d597daaaadc92df4a93c6e30da4f570c6

[ "Apache-2.0" ]

1,016

2019-06-18T21:27:47.000Z

2020-03-06T11:09:58.000Z

homeassistant/components/eight_sleep/binary_sensor.py

liangleslie/core

cc807b4d597daaaadc92df4a93c6e30da4f570c6

[ "Apache-2.0" ]

null

"""Support for Eight Sleep binary sensors.""" from __future__ import annotations import logging from pyeight.eight import EightSleep from homeassistant.components.binary_sensor import ( BinarySensorDeviceClass, BinarySensorEntity, ) from homeassistant.core import HomeAssistant from homeassistant.helpers.enti...

28.805556

81

0.700579

220

2,074

6.368182

0.390909

0.060671

0.031406

0.025696

0

0.217454

2,074

71

82

29.211268

0.863216

0.07377

0

0.078431

0

0.027464

0

0.039216

1

0.039216

false

0

0.196078

0

0.313725

0

null

0

null

0

1

0

868d3680b0c2bd4371570ee9b629404359f69eee

1,220

py

Python

apps/organization/urls.py

stormsha/StormOnline

10983b7a9ee09958927731ee3fd74178d7534ff6

[ "Apache-2.0" ]

18

2018-03-16T07:11:01.000Z

2021-11-18T08:42:11.000Z

apps/organization/urls.py

stormsha/StormOnline

10983b7a9ee09958927731ee3fd74178d7534ff6

[ "Apache-2.0" ]

1

2018-03-15T11:40:25.000Z

apps/organization/urls.py

stormsha/StormOnline

10983b7a9ee09958927731ee3fd74178d7534ff6

[ "Apache-2.0" ]

13

2018-03-16T07:11:05.000Z

2020-06-23T09:27:49.000Z

# _*_ coding: utf-8 _*_ # --------------------------- __author__ = 'StormSha' __date__ = '2018/3/28 18:01' # --------------------------- # -------------------------django---------------------- from django.conf.urls import url from .views import OrgView, AddUserAskView, OrgHomeView, OrgCourseView, OrgDescView, OrgTeach...

48.8

111

0.566393

142

1,220

4.598592

0.323944

0.05513

0.137825

0.099541

0

0.010889

0.096721

1,220

25

112

48.8

0.58167

0.193443

0

0.294479

0.141104

0

1

0

false

0

0.1875

0

0.1875

0

null

0

null

0

1

0

868dd694341f559c01703d972c3b261cb6620ffe

571

py

Python

tech_project/lib/python2.7/site-packages/filer/migrations/0010_auto_20180414_2058.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

null

tech_project/lib/python2.7/site-packages/filer/migrations/0010_auto_20180414_2058.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

11

2019-11-02T20:57:52.000Z

2020-09-27T09:08:33.000Z

tech_project/lib/python2.7/site-packages/filer/migrations/0010_auto_20180414_2058.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

4

2018-08-07T17:13:48.000Z

2019-06-13T11:09:32.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('filer', '0009_auto_20171220_1635'), ] operations = [ migrations.AlterField( mod...

27.190476

187

0.670753

64

571

5.734375

0.65625

0.065395

0.076294

0.119891

0

0.037611

0.208406

571

20

188

28.55

0.774336

0.036778

0

0.122263

0.041971

0

1

0

false

0

0.214286

0

0.428571

0

null

0

null

0

1

0

868dd7b75196bf80f589754ce91dc36872de638a

12,166

py

Python

SLHCUpgradeSimulations/Configuration/python/aging.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

SLHCUpgradeSimulations/Configuration/python/aging.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

SLHCUpgradeSimulations/Configuration/python/aging.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms # handle normal mixing or premixing def getHcalDigitizer(process): if hasattr(process,'mixData'): return process.mixData if hasattr(process,'mix') and hasattr(process.mix,'digitizers') and hasattr(process.mix.digitizers,'hcal'): return process.mix.digiti...

44.40146

176

0.715025

1,347

12,166

6.331106

0.213066

0.044207

0.0394

0.025797

0.504573

0.418386

0.355183

0.304526

0.268293

0.211069

0

0.033714

0.185681

12,166

273

177

44.564103

0.827092

0.088279

0

0.235294

0

0.083642

0.045344

0

0.003663

0

1

0.117647

false

0

0.036199

0

0.298643

0

null

0

null

0

1

0

868de8e68215f41c7a22fbffe3549ae81cd16557

10,106

py

Python

xml_parser.py

cbschaff/nlimb

f0564b00bab1b3367aaa88163e49bebc88f349bb

[ "MIT" ]

12

2018-10-26T19:33:05.000Z

2022-01-17T11:47:59.000Z

xml_parser.py

cbschaff/nlimb

f0564b00bab1b3367aaa88163e49bebc88f349bb

[ "MIT" ]

9

2020-01-28T22:30:55.000Z

2022-03-11T23:32:04.000Z

xml_parser.py

cbschaff/nlimb

f0564b00bab1b3367aaa88163e49bebc88f349bb

[ "MIT" ]

3

2019-07-09T14:56:01.000Z

2019-11-18T06:58:41.000Z

import numpy as np import xml.etree.ElementTree as ET class Geom(object): def __init__(self, geom): self.xml = geom self.params = [] def get_params(self): return self.params.copy() def set_params(self, new_params): self.params = new_params def update_point(self, p, ne...

33.574751

169

0.608351

1,449

10,106

4.069703

0.132505

0.026454

0.028489

0.024419

0.474818

0.374089

0.290487

0.224182

0.196201

0.149059

0

0.023403

0.247378

10,106

300

170

33.686667

0.751906

0.02355

0

0.306723

0

0.054981

0.02465

0

0.029412

1

0.193277

false

0.02521

0.067227

0.37395

0.037815

0

null

0

null

0

1

0

868f0e1cedcadcbc2d277dd9469765ca291fed6d

689

py

Python

meiduo_mall/celery_tasks/sms/tasks.py

Vent-Any/meiduo_mall_cangku

5b3b7f029be267cb5d2d3666f99be166d27213f1

[ "MIT" ]

null

meiduo_mall/celery_tasks/sms/tasks.py

Vent-Any/meiduo_mall_cangku

5b3b7f029be267cb5d2d3666f99be166d27213f1

[ "MIT" ]

null

meiduo_mall/celery_tasks/sms/tasks.py

Vent-Any/meiduo_mall_cangku

5b3b7f029be267cb5d2d3666f99be166d27213f1

[ "MIT" ]

null

from ronglian_sms_sdk import SmsSDK from celery_tasks.main import app # 写我们的任务（函数） # 任务必须要celery的实例对象装饰器task装饰 # 任务包的任务需要celery调用自检检查函数。(在main里面写。) @app.task def celery_send_sms_code(mobile, sms_code): accId = '8a216da8762cb4570176c60593ba35ec' accToken = '514a8783b8c2481ebbeb6a814434796f' appId = '8a216da...

32.809524

65

0.703919

79

689

6.037975

0.670886

0.044025

0

0.158645

0.185776

689

21

66

32.809524

0.691622

0.335269

0

0.220982

0.214286

0

1

0.083333

false

0

0.166667

0

0.25

0

null

0

null

0

1

0

86920ec1c0159b8548b81683e13e218d1875aaf1

33,860

py

Python

python/test_pip_package.py

syt123450/tfjs-converter

a90fa59a44d9425beb7b1584fe753c62d62bbc4d

[ "Apache-2.0" ]

null

python/test_pip_package.py

syt123450/tfjs-converter

a90fa59a44d9425beb7b1584fe753c62d62bbc4d

[ "Apache-2.0" ]

null

python/test_pip_package.py

syt123450/tfjs-converter

a90fa59a44d9425beb7b1584fe753c62d62bbc4d

[ "Apache-2.0" ]

null

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

38.741419

88

0.674778

4,231

33,860

5.193808

0.099504

0.019113

0.027759

0.023572

0.705893

0.676724

0.647645

0.629989

0.605961

0.58967

0

0.014756

0.205434

33,860

873

89

38.785796

0.802037

0.167218

0

0.643902

0

0.137504

0.038757

0

0.162602

1

0.056911

false

0

0.037398

0

0.104065

0.001626

0

null

0

null

0

1

0

869310d00b7b8dcf8e18a56efd569e5ae8396471

7,195

py

Python

script.ezclean/resources/lib/modules/skinz.py

rrosajp/script.ezclean

ed6fbe6441713a3c96ce15a595cdd5c69291355f

[ "MIT" ]

5

2019-03-12T23:10:48.000Z

2021-05-06T05:31:26.000Z

script.ezclean/resources/lib/modules/skinz.py

rrosajp/script.ezclean-1

ed6fbe6441713a3c96ce15a595cdd5c69291355f

[ "MIT" ]

3

2019-03-17T21:53:29.000Z

2019-04-22T16:44:38.000Z

script.ezclean/resources/lib/modules/skinz.py

rrosajp/script.ezclean-1

ed6fbe6441713a3c96ce15a595cdd5c69291355f

[ "MIT" ]

4

2019-03-17T21:17:19.000Z

2020-03-30T12:45:33.000Z

# -*- coding: UTF-8 -*- import os, re, shutil, time, xbmc from resources.lib.modules import control try: import json as simplejson except: import simplejson ADDONS = os.path.join(control.HOMEPATH, 'addons') def currSkin(): return control.skin def getOld(old): try: old = '"%s"' % old quer...

46.720779

254

0.580542

826

7,195

5.054479

0.232446

0.015808

0.017246

0.016766

0.36024

0.262515

0.232814

0.212695

0.195928

0

0.010876

0.246004

7,195

153

255

47.026144

0.75871

0.002919

0

0.157895

0

0.045113

0.282845

0.082287

0

1

0.052632

false

0.015038

0.030075

0.007519

0.112782

0

null

0

null

0

1

0

86939231df10a74a6b6c8263b5d61c5806d7e19e

10,360

py

Python

pyhap/characteristic.py

bdraco/HAP-python

a2a5ce109d08af2f4f5bda4075f2176a98123806

[ "Apache-2.0" ]

null

pyhap/characteristic.py

bdraco/HAP-python

a2a5ce109d08af2f4f5bda4075f2176a98123806

[ "Apache-2.0" ]

null

pyhap/characteristic.py

bdraco/HAP-python

a2a5ce109d08af2f4f5bda4075f2176a98123806

[ "Apache-2.0" ]

null

""" All things for a HAP characteristic. A Characteristic is the smallest unit of the smart home, e.g. a temperature measuring or a device status. """ import logging from pyhap.const import ( HAP_PERMISSION_READ, HAP_REPR_DESC, HAP_REPR_FORMAT, HAP_REPR_IID, HAP_REPR_MAX_LEN, HAP_REPR_PERM, ...

33.099042

86

0.643629

1,285

10,360

4.927626

0.182101

0.055433

0.036955

0.026532

0.173405

0.139135

0.098389

0.050221

0.023057

0

0.006104

0.272587

10,360

312

87

33.205128

0.83413

0.28195

0

0.074866

0

0.072639

0

1

0.058824

false

0

0.016043

0

0.128342

0

null

0

null

0

1

0

8693c080676cb2787d00c99c4612bc9e39e2bff8

1,767

py

Python

configs/_base_/datasets/uniter/vqa_dataset_uniter.py

linxi1158/iMIX

af87a17275f02c94932bb2e29f132a84db812002

[ "Apache-2.0" ]

23

2021-06-26T08:45:19.000Z

2022-03-02T02:13:33.000Z

configs/_base_/datasets/uniter/vqa_dataset_uniter.py

XChuanLee/iMIX

99898de97ef8b45462ca1d6bf2542e423a73d769

[ "Apache-2.0" ]

null

configs/_base_/datasets/uniter/vqa_dataset_uniter.py

XChuanLee/iMIX

99898de97ef8b45462ca1d6bf2542e423a73d769

[ "Apache-2.0" ]

9

2021-06-10T02:36:20.000Z

2021-11-09T02:18:16.000Z

dataset_type = 'UNITER_VqaDataset' data_root = '/home/datasets/mix_data/UNITER/VQA/' train_datasets = ['train'] test_datasets = ['minival'] # name not in use, but have defined one to run vqa_cfg = dict( train_txt_dbs=[ data_root + 'vqa_train.db', data_root + 'vqa_trainval.db', data_root +...

24.205479

75

0.63837

234

1,767

4.431624

0.358974

0.077146

0.04243

0.037608

0.358727

0.32594

0.281581

0.229508

0

0.038777

0.241087

1,767

72

76

24.541667

0.734526

0.032258

0

0.363636

0

0.186987

0.046307

0

1

0

false

0

null

0

null

0

1

0

869425b882c792777c4c9df4c4e4ede390b45006

752

py

Python

students/k3340/laboratory_works/laboratory_works/Arlakov_Denis/laboratiry_work_2_and_3/lab/django-react-ecommerce-master/home/urls.py

TonikX/ITMO_ICT_-WebProgramming_2020

ba566c1b3ab04585665c69860b713741906935a0

[ "MIT" ]

10

2020-03-20T09:06:12.000Z

2021-07-27T13:06:02.000Z

students/k3340/laboratory_works/laboratory_works/Arlakov_Denis/laboratiry_work_2_and_3/lab/django-react-ecommerce-master/home/urls.py

TonikX/ITMO_ICT_-WebProgramming_2020

ba566c1b3ab04585665c69860b713741906935a0

[ "MIT" ]

134

2020-03-23T09:47:48.000Z

2022-03-12T01:05:19.000Z

students/k3340/laboratory_works/laboratory_works/Arlakov_Denis/laboratiry_work_2_and_3/lab/django-react-ecommerce-master/home/urls.py

TonikX/ITMO_ICT_-WebProgramming_2020

ba566c1b3ab04585665c69860b713741906935a0

[ "MIT" ]

71

2020-03-20T12:45:56.000Z

2021-10-31T19:22:25.000Z

from django.conf import settings from django.conf.urls.static import static from django.contrib import admin from django.urls import path, include, re_path from django.views.generic import TemplateView urlpatterns = [ path('api-auth/', include('rest_framework.urls')), path('rest-auth/', include('rest_auth.urls...

32.695652

78

0.678191

94

752

5.319149

0.393617

0.1

0.056

0.064

0

0.179521

752

22

79

34.181818

0.810373

0

0.183511

0.066489

0

1

0

false

0

0.277778

0

0.277778

0

null

0

null

0

1

0

869447ef2f6a217e512b23fd0c00a4c4fa0f87a0

22,881

py

Python

20200416_Socialmail/mailserverUi.py

karta1782310/python-docx-automated-report-generation

f0e02a50a9e9547d131e583be0711aad72f08b51

[ "MIT" ]

null

20200416_Socialmail/mailserverUi.py

karta1782310/python-docx-automated-report-generation

f0e02a50a9e9547d131e583be0711aad72f08b51

[ "MIT" ]

null

20200416_Socialmail/mailserverUi.py

karta1782310/python-docx-automated-report-generation

f0e02a50a9e9547d131e583be0711aad72f08b51

[ "MIT" ]

null

#!/bin/bash # -*- coding: UTF-8 -*- # 基本控件都在这里面 from PyQt5.QtWebEngineWidgets import QWebEngineView from PyQt5.QtWidgets import (QApplication, QMainWindow, QWidget, QGridLayout, QMessageBox, QFileDialog, QLabel, QLineEdit, QPushButton, QComboBox, QCheckBox, QDateTimeEdit, ...

41.75365

151

0.617193

2,943

22,881

4.561332

0.133877

0.036651

0.077846

0.082241

0.445694

0.357122

0.330676

0.303784

0.248063

0.1802

0

0.022542

0.261309

22,881

548

152

41.75365

0.771625

0.019405

0

0.221957

0

0.04008

0.001039

0

1

0.062053

false

0.009547

0.033413

0.002387

0.112172

0.009547

0

null

0

null

0

1

0

86947b6782d353d9c52f3c8165971a18131a9c5c

3,869

py

Python

nntools/layers/corrmm.py

317070/nntools

00e2865b1f8246254b3adc22c37989a8b77718d5

[ "MIT" ]

null

nntools/layers/corrmm.py

317070/nntools

00e2865b1f8246254b3adc22c37989a8b77718d5

[ "MIT" ]

null

nntools/layers/corrmm.py

317070/nntools

00e2865b1f8246254b3adc22c37989a8b77718d5

[ "MIT" ]

null

""" GpuCorrMM-based convolutional layers """ import numpy as np import theano import theano.tensor as T from theano.sandbox.cuda.basic_ops import gpu_contiguous from theano.sandbox.cuda.blas import GpuCorrMM from .. import init from .. import nonlinearities from . import base # base class for all layers that rely ...

37.931373

135

0.632205

517

3,869

4.535783

0.235977

0.055437

0.053731

0.025586

0.142431

0.093817

0.026439

0

0.015498

0.266219

3,869

101

136

38.306931

0.810497

0.065392

0

0.12

0

0.013333

0.045228

0

1

0.08

false

0.013333

0.106667

0.026667

0.28

0

null

0

null

0

1

0

8696b91ed345a9efbc515a25e28bfe35f30846c8

3,831

py

Python

ldtools/helpers.py

dmr/Ldtools

9cc5474404a07bd4b7ad756d31306dfc37a39c7b

[ "BSD-2-Clause" ]

3

2015-12-24T15:18:46.000Z

2022-02-09T06:56:40.000Z

ldtools/helpers.py

dmr/Ldtools

9cc5474404a07bd4b7ad756d31306dfc37a39c7b

[ "BSD-2-Clause" ]

1

2016-10-10T17:26:05.000Z

ldtools/helpers.py

dmr/Ldtools

9cc5474404a07bd4b7ad756d31306dfc37a39c7b

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import print_function, unicode_literals try: unicode except NameError: basestring = unicode = str # Python 3 import logging import rdflib from rdflib import compare logger = logging.getLogger("ldtools") RESET_SEQ = "\033[0m" COLOR_SEQ = "\033[1;%dm" BOLD_SEQ = "\033[...

30.895161

79

0.631689

453

3,831

5.231788

0.370861

0.025316

0.01519

0.027004

0

0.023683

0.261551

3,831

123

80

31.146341

0.814069

0.085095

0

0.032609

0

0.089137

0.012611

0

0.021739

1

0.043478

false

0

0.097826

0.01087

0.195652

0.065217

0

null

0

null

0

1

0

8696be28bebb97248ddd7aa9ff8ffc4d35ce9393

1,420

py

Python

fakenet/diverters/debuglevels.py

AzzOnFire/flare-fakenet-ng

bafd7e97b61cd43190dee7f1d2c3f4388488af76

[ "Apache-2.0" ]

null

fakenet/diverters/debuglevels.py

AzzOnFire/flare-fakenet-ng

bafd7e97b61cd43190dee7f1d2c3f4388488af76

[ "Apache-2.0" ]

null

fakenet/diverters/debuglevels.py

AzzOnFire/flare-fakenet-ng

bafd7e97b61cd43190dee7f1d2c3f4388488af76

[ "Apache-2.0" ]

null

# Debug print levels for fine-grained debug trace output control DNFQUEUE = (1 << 0) # netfilterqueue DGENPKT = (1 << 1) # Generic packet handling DGENPKTV = (1 << 2) # Generic packet handling with TCP analysis DCB = (1 << 3) # Packet handlign callbacks DPROCFS = (1 << 4) # procfs DIPTBLS = (...

33.023256

72

0.592958

166

1,420

5.066265

0.614458

0.030916

0.049941

0.057075

0

0.048544

0.274648

1,420

42

73

33.809524

0.767961

0.359155

0

0.091114

0

0.044994

0

1

0

false

0

null

0

null

0

1

0

869714958dec93fb87488625f1ab7000485c9fb2

3,175

py

Python

multichannel_lstm/train.py

zhr1201/Multi-channel-speech-extraction-using-DNN

4e48869e02b815a8b094acc9251ac6586fda350c

[ "MIT" ]

65

2017-08-04T03:36:56.000Z

2022-03-10T07:25:17.000Z

multichannel_lstm/train.py

zhr1201/Multi-channel-speech-extraction-using-DNN

4e48869e02b815a8b094acc9251ac6586fda350c

[ "MIT" ]

7

2017-10-10T02:34:08.000Z

2019-09-27T08:59:27.000Z

multichannel_lstm/train.py

zhr1201/Multi-channel-speech-extraction-using-DNN

4e48869e02b815a8b094acc9251ac6586fda350c

[ "MIT" ]

39

2017-08-02T04:27:37.000Z

2021-11-03T06:43:25.000Z

''' Script for training the model ''' import tensorflow as tf import numpy as np from input import BatchGenerator from model import MultiRnn import time from datetime import datetime import os import matplotlib as mpl mpl.use('Agg') from matplotlib import pyplot as plt sum_dir = 'sum' # dir to write summary train_di...

33.776596

83

0.624252

429

3,175

4.351981

0.321678

0.022496

0.02571

0.027317

0.170327

0.140332

0.094269

0

0.019947

0.289449

3,175

93

84

34.139785

0.807624

0.084094

0

0.084507

0

0.036678

0

1

0

false

0

0.126761

0

0.126761

0.014085

0

null

0

null

0

1

0

8697573e23a0bff4599f9e6ef4bcf4db3b6b315f

4,002

py

Python

python_modules/dagster/dagster/daemon/cli/__init__.py

elsenorbw/dagster

b38822d7463812624dab0b2dae7c62e2a8d59828

[ "Apache-2.0" ]

null

python_modules/dagster/dagster/daemon/cli/__init__.py

elsenorbw/dagster

b38822d7463812624dab0b2dae7c62e2a8d59828

[ "Apache-2.0" ]

null

python_modules/dagster/dagster/daemon/cli/__init__.py

elsenorbw/dagster

b38822d7463812624dab0b2dae7c62e2a8d59828

[ "Apache-2.0" ]

null

import os import sys import threading import time import warnings from contextlib import ExitStack import click import pendulum from dagster import __version__ from dagster.core.instance import DagsterInstance from dagster.daemon.controller import ( DEFAULT_DAEMON_HEARTBEAT_TOLERANCE_SECONDS, DagsterDaemonCont...

28.183099

121

0.696902

462

4,002

5.800866

0.279221

0.080597

0.05597

0.053731

0.248507

0.181343

0.104478

0.084328

0.051493

0

0.00191

0.215142

4,002

141

122

28.382979

0.851321

0.024738

0

0.13913

0

0.008696

0.224372

0.013819

0

1

0.095652

false

0

0.104348

0

0.217391

0

null

0

null

0

1

0

869758494ec4227a029bca8c4e214109b3aea62a

331

py

Python

tests/exhaustive/nfl_tests.py

atklaus/sportsreference

22a45ea83ce1608c3176f00d4f414d5b9463605c

[ "MIT" ]

1

2020-03-08T20:17:39.000Z

tests/exhaustive/nfl_tests.py

atklaus/sportsreference

22a45ea83ce1608c3176f00d4f414d5b9463605c

[ "MIT" ]

null

tests/exhaustive/nfl_tests.py

atklaus/sportsreference

22a45ea83ce1608c3176f00d4f414d5b9463605c

[ "MIT" ]

null

import sys, os sys.path.append(os.path.dirname(os.path.dirname(sys.path[0]))) from sportsreference.nfl.teams import Teams for team in Teams(): print(team.name) for player in team.roster.players: print(player.name) for game in team.schedule: print(game.dataframe) print(game.dataframe...

27.583333

62

0.700906

49

331

4.714286

0.469388

0.060606

0.112554

0

0.003704

0.18429

331

11

63

30.090909

0.851852

0

1

0

false

0

0.2

0

0.2

0.4

0

null

0

null

0

1

0

86979f732a31535e5210a87577515eada4d424aa

1,116

py

Python

rust-old/python/examples/map_fields.py

SerebryakovMA/quelea

4bac70d60852a454ad6533d08a02e018c75dc377

[ "MIT" ]

3

2021-03-01T15:35:49.000Z

2021-04-04T17:24:48.000Z

rust-old/python/examples/map_fields.py

SerebryakovMA/quelea

4bac70d60852a454ad6533d08a02e018c75dc377

[ "MIT" ]

null

rust-old/python/examples/map_fields.py

SerebryakovMA/quelea

4bac70d60852a454ad6533d08a02e018c75dc377

[ "MIT" ]

null

import numpy as np import matplotlib import matplotlib.pyplot as plt import sys sys.path.append("../") from quelea import * nx = 217 ny = 133 x0 = 0 x1 = 30 # lambdas y0 = 0 y1 = 20 # lambdas xs = np.linspace(x0, x1, nx) ys = np.linspace(y0, y1, ny) # 2d array of (x, y, z, t) coords = np.array( [ [x, y, 0, 0] for ...

21.882353

76

0.641577

200

1,116

3.565

0.405

0.039271

0.092567

0

0.049945

0.192652

1,116

50

77

22.32

0.741398

0.189068

0

0.03132

0

1

0

false

0

0.135135

0

0.135135

0

null

0

null

0

1

0

86981ef4c2dc9e662bd6493203efcef25a7c5284

4,709

py

Python

test.py

t-kaichi/hyperspoof

6effdf03be8489ba74154a12416c69948681aa51

[ "MIT" ]

10

2021-06-23T09:42:30.000Z

2022-03-31T22:26:17.000Z

test.py

t-kaichi/hyperspoof

6effdf03be8489ba74154a12416c69948681aa51

[ "MIT" ]

null

test.py

t-kaichi/hyperspoof

6effdf03be8489ba74154a12416c69948681aa51

[ "MIT" ]

null

import os from absl import app from absl import flags import numpy as np import tqdm from tensorflow.keras import Model from albumentations import ( Compose, HorizontalFlip, RandomBrightness,RandomContrast, ShiftScaleRotate, ToFloat, VerticalFlip) from utils import reset_tf from eval_utils import calc_score_v...

36.503876

84

0.660437

641

4,709

4.586583

0.330733

0.015306

0.017007

0.012245

0.087755

0.060544

0.021088

0

0.026272

0.232109

4,709

129

85

36.503876

0.786781

0.046931

0

0.058824

0

0.04847

0

0.019608

1

0.039216

false

0

0.127451

0.009804

0.196078

0.039216

0

null

0

null

0

1

0

8698961278b2541aa172b54c8053ea36ceff0d54

4,612

py

Python

generator/apps.py

TheJacksonLaboratory/jaxid_generator

be5222d9c5ce57a169b94b0afd1ae9f7f10a66c1

[ "Apache-2.0" ]

2

2020-10-19T17:21:09.000Z

2020-10-20T14:27:25.000Z

generator/apps.py

cometsong/jaxid_generator

be5222d9c5ce57a169b94b0afd1ae9f7f10a66c1

[ "Apache-2.0" ]

null

generator/apps.py

cometsong/jaxid_generator

be5222d9c5ce57a169b94b0afd1ae9f7f10a66c1

[ "Apache-2.0" ]

null

from django.conf import settings from suit import apps from suit.apps import DjangoSuitConfig from suit.menu import ParentItem, ChildItem APP_NAME = settings.APP_NAME WIKI_URL = settings.WIKI_URL class SuitConfig(DjangoSuitConfig): name = 'suit' verbose_name = 'Mbiome Core JAXid Generator' site_title = '...

37.803279

198

0.550954

481

4,612

5.064449

0.370062

0.053366

0.054187

0.059113

0.245895

0.151067

0.108374

0.024631

0

0.011792

0.338031

4,612

121

199

38.115702

0.786112

0.208803

0

0.225

0

0.025

0.305249

0.152762

0

1

0

false

0

0.0875

0

0.25

0

null

0

null

0

1

0

869a42d471e5a0264cf98babfcdd88a6669b3cbc

12,970

py

Python

pkgs/nltk-3.2-py27_0/lib/python2.7/site-packages/nltk/classify/weka.py

wangyum/anaconda

6e5a0dbead3327661d73a61e85414cf92aa52be6

[ "Apache-2.0", "BSD-3-Clause" ]

null

pkgs/nltk-3.2-py27_0/lib/python2.7/site-packages/nltk/classify/weka.py

wangyum/anaconda

6e5a0dbead3327661d73a61e85414cf92aa52be6

[ "Apache-2.0", "BSD-3-Clause" ]

null

pkgs/nltk-3.2-py27_0/lib/python2.7/site-packages/nltk/classify/weka.py

wangyum/anaconda

6e5a0dbead3327661d73a61e85414cf92aa52be6

[ "Apache-2.0", "BSD-3-Clause" ]

null

# Natural Language Toolkit: Interface to Weka Classsifiers # # Copyright (C) 2001-2015 NLTK Project # Author: Edward Loper <edloper@gmail.com> # URL: <http://nltk.org/> # For license information, see LICENSE.TXT """ Classifiers that make use of the external 'Weka' package. """ from __future__ import print_fu...

37.485549

85

0.562606

1,395

12,970

5.119713

0.273118

0.023663

0.008401

0.007841

0.158499

0.130916

0.092691

0.055447

0.045645

0

0.005129

0.338551

12,970

345

86

37.594203

0.827369

0.210486

0

0.166667

0

0.130976

0.026237

0

1

0.083333

false

0

0.060185

0.013889

0.25463

0.018519

0

null

0

null

0

1

0

869a8a31a260884a519f22c5d9a29b22876f051f

5,502

py

Python

src/si/data/dataset.py

pg428/SIB

b887c2011eb3a04d119a93b3932785d182e331d3

[ "Apache-2.0" ]

null

src/si/data/dataset.py

pg428/SIB

b887c2011eb3a04d119a93b3932785d182e331d3

[ "Apache-2.0" ]

null

src/si/data/dataset.py

pg428/SIB

b887c2011eb3a04d119a93b3932785d182e331d3

[ "Apache-2.0" ]

null

import pandas as pd import numpy as np from src.si.util.util import label_gen __all__ = ['Dataset'] class Dataset: def __init__(self, X=None, Y=None, xnames: list = None, yname: str = None): """ Tabular Dataset""" if X is None: raise Exception("Trying ...

32.364706

166

0.526172

683

5,502

4.175695

0.196193

0.021038

0.025245

0.02805

0.265778

0.187938

0.169004

0.121318

0

0.008242

0.338422

5,502

169

167

32.556213

0.775275

0.290622

0

0.309278

0

0.039114

0

1

0.113402

false

0

0.030928

0.010309

0.257732

0

null

0

null

0

1

0

869e135c2c869c0e98bb08d38ef8fc9d0c3c1530

11,744

py

Python

homeassistant/components/fritz/sensor.py

EuleMitKeule/core

3af54d96c7dcc3f7087d1196e6ab0db029301ee7

[ "Apache-2.0" ]

3

2022-02-18T14:03:39.000Z

2022-03-26T20:26:55.000Z

homeassistant/components/fritz/sensor.py

EuleMitKeule/core

3af54d96c7dcc3f7087d1196e6ab0db029301ee7

[ "Apache-2.0" ]

74

2020-08-05T07:20:27.000Z

2022-03-23T12:47:28.000Z

homeassistant/components/fritz/sensor.py

marecabo/home-assistant

e33774a61e7fcc88aff752dfa4618dd26a746872

[ "Apache-2.0" ]

2

2020-06-06T21:55:32.000Z

2022-03-06T04:18:21.000Z

"""AVM FRITZ!Box binary sensors.""" from __future__ import annotations from collections.abc import Callable from dataclasses import dataclass from datetime import datetime, timedelta import logging from typing import Any, Literal from fritzconnection.core.exceptions import ( FritzActionError, FritzActionFaile...

33.458689

94

0.712364

1,315

11,744

6.003042

0.147529

0.023942

0.041804

0.049405

0.545984

0.49582

0.437294

0.410312

0.400937

0.346592

0

0.008086

0.199676

11,744

350

95

33.554286

0.831791

0.091366

0

0.387218

0

0.088146

0.017382

0

1

0.067669

false

0.003759

0.06015

0

0.221805

0

null

0

null

0

1

0

869e8784f6deaecfb703cc98502b159dc7530a96

5,330

py

Python

middleware/io-monitor/recipes-common/io-monitor/io-monitor/io_monitor/utils/data_collector.py

xe1gyq/stx-utils

93b7f7dc2c6732db8c8ae0eb3f52ace4df714dc9

[ "Apache-2.0" ]

null

middleware/io-monitor/recipes-common/io-monitor/io-monitor/io_monitor/utils/data_collector.py

xe1gyq/stx-utils

93b7f7dc2c6732db8c8ae0eb3f52ace4df714dc9

[ "Apache-2.0" ]

null

middleware/io-monitor/recipes-common/io-monitor/io-monitor/io_monitor/utils/data_collector.py

xe1gyq/stx-utils

93b7f7dc2c6732db8c8ae0eb3f52ace4df714dc9

[ "Apache-2.0" ]

null

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # # Copyright (c) 2016 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # import logging import os from io_monitor.constants import DOMAIN from io_monitor.utils.data_window import DataCollectionWindow LOG = logging.getLogger(DOMAIN) class DeviceDataCollec...

36.013514

77

0.630206

678

5,330

4.679941

0.185841

0.055468

0.071856

0.070596

0.503309

0.431768

0.364324

0.332178

0.313899

0

0.008314

0.277861

5,330

147

78

36.258503

0.816056

0.059475

0

0.227723

0

0.0532

0

1

0.108911

false

0

0.039604

0.029703

0.336634

0

null

0

null

0

1

0

869e8ff896779ff36d9b024ced2d268e80c7682a

19,793

py

Python

examples/language-modeling/debias_lm_hps_tune.py

SoumyaBarikeri/transformers

996c6e113404000f50444287aa8a31a174ebd92f

[ "Apache-2.0" ]

1

2021-08-07T06:06:45.000Z

examples/language-modeling/debias_lm_hps_tune.py

SoumyaBarikeri/transformers

996c6e113404000f50444287aa8a31a174ebd92f

[ "Apache-2.0" ]

null

examples/language-modeling/debias_lm_hps_tune.py

SoumyaBarikeri/transformers

996c6e113404000f50444287aa8a31a174ebd92f

[ "Apache-2.0" ]

2

2021-05-31T08:50:50.000Z

2022-01-26T13:14:58.000Z

# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a cop...

38.210425

175

0.664477

2,475

19,793

5.071919

0.202424

0.020075

0.015136

0.020314

0.333307

0.300486

0.263284

0.204812

0.178125

0.162192

0

0.006436

0.24635

19,793

517

176

38.284333

0.835087

0.21548

0

0.089636

0

0.011204

0.203429

0.016628

0

0.002801

1

0.016807

false

0.002801

0.039216

0

0.12605

0.002801

0

null

0

null

0

1

0

869ee02cc744c1a084a226d08c1391e0d7881239

1,373

py

Python

checksums.py

pgp/RootHelperClientTestInteractions

6b9e9cc9f10eb2bf9b9dafa851ed56005f7666b5

[ "Apache-2.0" ]

1

2019-05-04T12:29:41.000Z

checksums.py

pgp/RootHelperClientTestInteractions

6b9e9cc9f10eb2bf9b9dafa851ed56005f7666b5

[ "Apache-2.0" ]

null

checksums.py

pgp/RootHelperClientTestInteractions

6b9e9cc9f10eb2bf9b9dafa851ed56005f7666b5

[ "Apache-2.0" ]

null

from net_common import * import struct import sys def getDirHashOpts(withNames=False, ignoreThumbsFiles=True, ignoreUnixHiddenFiles=True, ignoreEmptyDirs=True): return bytearray([((1 if withNames else 0) + (2 if ignoreThumbsFiles else ...

40.382353

128

0.627822

170

1,373

5

0.505882

0.077647

0.070588

0.074118

0

0.043647

0.24909

1,373

33

129

41.606061

0.780795

0.255645

0

0.072277

0

1

0.04

false

0

0.12

0.04

0.2

0.08

0

null

0

null

0

1

0

86a15534f296338602eb17c7dad23025e0241a4e

3,208

py

Python

scripts/viewStokespat.py

David-McKenna/AntPat

45618659994b27e2654f1effd6d9baa15867b6d3

[ "ISC" ]

5

2016-06-21T14:54:23.000Z

2021-04-06T06:23:25.000Z

scripts/viewStokespat.py

David-McKenna/AntPat

45618659994b27e2654f1effd6d9baa15867b6d3

[ "ISC" ]

null

scripts/viewStokespat.py

David-McKenna/AntPat

45618659994b27e2654f1effd6d9baa15867b6d3

[ "ISC" ]

2

2019-10-25T03:16:06.000Z

2020-11-15T14:18:46.000Z

#!/usr/bin/env python """A simple viewer for Stokes patterns based on two far-field pattern files. (Possibly based on one FF pattern files if it has two requests: one for each polarization channel.)""" import os import argparse import numpy import matplotlib.pyplot as plt from antpat.reps.sphgridfun.tvecfun import TVec...

36.044944

102

0.674564

457

3,208

4.582057

0.347921

0.049666

0.034384

0.035817

0.170487

0.148042

0.08596

0.056351

0

0.019399

0.180486

3,208

88

103

36.454545

0.777102

0.122818

0

0.119403

0

0.105866

0.007868

0

1

0.029851

false

0

0.104478

0

0.149254

0.044776

0

null

0

null

0

1

0

86a15d2cf1ab721951e4abf4f4b561d571ed4d1c

2,141

py

Python

utils.py

lingjiao10/Facial-Expression-Recognition.Pytorch

f5ba0e527347af3778d44eb7045e4970d01641a6

[ "MIT" ]

null

utils.py

lingjiao10/Facial-Expression-Recognition.Pytorch

f5ba0e527347af3778d44eb7045e4970d01641a6

[ "MIT" ]

null

utils.py

lingjiao10/Facial-Expression-Recognition.Pytorch

f5ba0e527347af3778d44eb7045e4970d01641a6

[ "MIT" ]

1

2019-10-02T02:26:39.000Z

'''Some helper functions for PyTorch, including: - progress_bar: progress bar mimic xlua.progress. - set_lr : set the learning rate - clip_gradient : clip gradient ''' import os import sys import time import math import torch import torch.nn as nn import torch.nn.init as init from torch.autogr...

27.101266

76

0.604858

308

2,141

4.045455

0.327922

0.086677

0.123596

0.054575

0.250401

0.218299

0.138042

0.05939

0

0.021144

0.248949

2,141

78

77

27.448718

0.753731

0.148996

0

0.071429

0

0.034282

0

1

0.053571

false

0

0.142857

0

0.196429

0.017857

0

null

0

null

0

1

0

86a1bd490fa794c86a7ba173a9dce9709f3eb600

2,236

py

Python

string-method/src/analysis/FE_analysis/index_converter.py

delemottelab/gpcr-string-method-2019

b50786a4a8747d56ad04ede525592eb31f1890fd

[ "MIT" ]

null

string-method/src/analysis/FE_analysis/index_converter.py

delemottelab/gpcr-string-method-2019

b50786a4a8747d56ad04ede525592eb31f1890fd

[ "MIT" ]

null

string-method/src/analysis/FE_analysis/index_converter.py

delemottelab/gpcr-string-method-2019

b50786a4a8747d56ad04ede525592eb31f1890fd

[ "MIT" ]

3

2020-03-16T04:33:50.000Z

2021-03-19T17:25:59.000Z

from __future__ import absolute_import, division, print_function import logging import sys logging.basicConfig( stream=sys.stdout, level=logging.DEBUG, format='%(asctime)s %(name)s-%(levelname)s: %(message)s', datefmt='%Y-%m-%d %H:%M:%S') import numpy as np import utils logger = logging.getLogger("ind...

38.551724

116

0.609123

315

2,236

4.155556

0.27619

0.064171

0.049656

0.038961

0.135982

0.091673

0.039725

0

0.007273

0.262075

2,236

57

117

39.22807

0.786061

0

0.040816

0

0.110465

0.010286

0

1

0.102041

false

0

0.102041

0

0.326531

0.040816

0

null

0

null

0

1

0

86a37502649b0fcb2349b60e7e2d86e82dd233f5

12,050

py

Python

cirq-pasqal/cirq_pasqal/pasqal_device.py

pavoljuhas/Cirq

b6d6577be61d216ce2f29f8c64ae5879cf3087d5

[ "Apache-2.0" ]

1

2022-02-05T22:17:39.000Z

cirq-pasqal/cirq_pasqal/pasqal_device.py

pavoljuhas/Cirq

b6d6577be61d216ce2f29f8c64ae5879cf3087d5

[ "Apache-2.0" ]

null

cirq-pasqal/cirq_pasqal/pasqal_device.py

pavoljuhas/Cirq

b6d6577be61d216ce2f29f8c64ae5879cf3087d5

[ "Apache-2.0" ]

null

# Copyright 2020 The Cirq Developers # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...

37.42236

99

0.630954

1,493

12,050

5.002009

0.229739

0.024371

0.01406

0.016872

0.201794

0.15225

0.118104

0.082217

0.061328

0.046599

0

0.005036

0.291452

12,050

321

100

37.538941

0.869642

0.326058

0

0.096154

0

0.151161

0.02495

0

1

0.147436

false

0

0.044872

0.083333

0.333333

0

null

0

null

0

1

0

86a3efacb490990d88c7dfa47acc3b8f0d98c63a

22,798

py

Python

command_line/show.py

huwjenkins/dials

885a2f6ea3900dd0c9fcc15c03561fb45452c3bb

[ "BSD-3-Clause" ]

null

command_line/show.py

huwjenkins/dials

885a2f6ea3900dd0c9fcc15c03561fb45452c3bb

[ "BSD-3-Clause" ]

1

2019-06-03T16:09:12.000Z

2019-06-04T12:47:20.000Z

command_line/show.py

rjgildea/dials

0665a385d644bbef7541fb2d33c7a3c5a748e2b4

[ "BSD-3-Clause" ]

null

import os import sys import numpy as np import iotbx.phil from cctbx import uctbx from dxtbx.model.experiment_list import ExperimentListFactory from scitbx.math import five_number_summary import dials.util from dials.array_family import flex from dials.util import Sorry, tabulate help_message = """ Examples:: d...

32.992764

88

0.530485

2,690

22,798

4.302974

0.141636

0.025054

0.018056

0.019698

0.259698

0.173823

0.1073

0.068683

0.040432

0.036112

0

0.01114

0.342442

22,798

690

89

33.04058

0.76099

0.0411

0

0.134191

0

0.001838

0.13467

0.023847

0

1

0.022059

false

0

0.025735

0

0.071691

0.027574

0

null

0

null

0

1

0

86a477c71ec5eb0f689387ca230eaa223627c82b

8,749

py

Python

app/config/env_jesa.py

OuissalTAIM/jenkins

7ea5bcdeb6c0bb3cc14c2826a68e4f521de163c1

[ "BSD-1-Clause" ]

null

app/config/env_jesa.py

OuissalTAIM/jenkins

7ea5bcdeb6c0bb3cc14c2826a68e4f521de163c1

[ "BSD-1-Clause" ]

6

2021-02-02T22:52:41.000Z

2022-03-12T00:37:30.000Z

app/config/env_jesa.py

OuissalTAIM/jenkins

7ea5bcdeb6c0bb3cc14c2826a68e4f521de163c1

[ "BSD-1-Clause" ]

null

# -*- coding: utf-8 -*- from enum import Enum, IntEnum, unique import os APP_NAME = "mine2farm" NETWORK_NAME = "CenterAxis" LOG_LEVEL_CONSOLE = "WARNING" LOG_LEVEL_FILE = "INFO" APP_FOLDER = os.getenv("JESA_MINE2FARM_HOME", "C:/GitRepos/mine2farm/") LOG_FOLDER = APP_FOLDER + "app/log/" LOG_FILE = "%(asctime)_" + AP...

29.758503

125

0.65356

896

8,749

6.129464

0.25558

0.055353

0.026038

0.03059

0.259104

0.159323

0.102877

0.065186

0.046249

0.025127

0

0.018384

0.197965

8,749

294

126

29.758503

0.764287

0.011887

0

0.17094

0

0.312833

0.060806

0

1

0

false

0

0.008547

0

0.183761

0

null

0

null

0

1

0

86a5619ddeca5e16cc4b5d0ebb8500be1708f077

6,001

py

Python

app/app.py

Moustique-bot/hands-on-2021

fd023f0a431f72ef2c48e3a469be42e2de9e2957

[ "MIT" ]

null

app/app.py

Moustique-bot/hands-on-2021

fd023f0a431f72ef2c48e3a469be42e2de9e2957

[ "MIT" ]

null

app/app.py

Moustique-bot/hands-on-2021

fd023f0a431f72ef2c48e3a469be42e2de9e2957

[ "MIT" ]

null

import base64 import io import dash import dash_core_components as dcc import dash_html_components as html import dash_bootstrap_components as dbc from dash.dependencies import Input, Output import numpy as np import tensorflow as tf from PIL import Image from constants import CLASSES import yaml with open('app.ya...

31.920213

402

0.551408

635

6,001

5.107087

0.398425

0.02806

0.016035

0.016651

0.19334

0.173296

0.146778

0.115325

0

0.017514

0.324446

6,001

188

403

31.920213

0.782437

0.097484

0

0.23741

0

0.007194

0.179301

0.004088

0

1

0.021583

false

0

0.086331

0.007194

0.143885

0

null

0

null

0

1

0

86a57ddfcf5854e170f6cff9e4deb86cb8f9d464

1,214

py

Python

books/rakutenapi.py

NobukoYano/LibraryApp

623f60614f15ab760e1c0d2f18954ce948f2d2a3

[ "MIT" ]

1

2019-04-27T11:18:42.000Z

books/rakutenapi.py

NobukoYano/LibrayApp

623f60614f15ab760e1c0d2f18954ce948f2d2a3

[ "MIT" ]

11

2020-02-12T00:11:23.000Z

2022-02-10T07:59:24.000Z

books/rakutenapi.py

NobukoYano/LibrayApp

623f60614f15ab760e1c0d2f18954ce948f2d2a3

[ "MIT" ]

null

import json import requests from django.conf import settings class rakuten: def get_json(self, isbn: str) -> dict: appid = settings.RAKUTEN_APP_ID # API request template api = "https://app.rakuten.co.jp/services/api/BooksTotal/"\ "Search/20170404?format=json&isbnjan={isbnj...

27.590909

74

0.559308

143

1,214

4.65035

0.41958

0.096241

0.090226

0.126316

0

0.020666

0.282537

1,214

43

75

28.232558

0.742824

0.07743

0

0.08

0

0.2354

0.060198

0

1

0.04

false

0

0.12

0

0.32

0

null

0

null

0

1

0

86a699aa985f4eb39369d4b317e19a2eb2706a0b

18,710

py

Python

sdk/authorization/azure-mgmt-authorization/azure/mgmt/authorization/v2018_01_01_preview/models/_models_py3.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

2,728

2015-01-09T10:19:32.000Z

2022-03-31T14:50:33.000Z

sdk/authorization/azure-mgmt-authorization/azure/mgmt/authorization/v2018_01_01_preview/models/_models_py3.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

17,773

2015-01-05T15:57:17.000Z

2022-03-31T23:50:25.000Z

sdk/authorization/azure-mgmt-authorization/azure/mgmt/authorization/v2018_01_01_preview/models/_models_py3.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1,916

2015-01-19T05:05:41.000Z

2022-03-31T19:36:44.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...

32.147766

165

0.615446

2,014

18,710

5.531778

0.103774

0.028902

0.030967

0.02585

0.533794

0.458846

0.40903

0.390988

0.319181

0.300332

0

0.006306

0.245697

18,710

581

166

32.203098

0.783108

0.334848

0

0.591463

0

0.182952

0.024427

0

1

0.04878

false

0

0.009146

0

0.170732

0

null

0

null

0

1

0