xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

e2a3a5e193462cd9cfc3f8e77576ef311f0d6d70

1,050

py

Python

async_sched/client/request_schedules.py

justengel/async_sched

f980722d51d15025522b2265426b0188ff368418

[ "MIT" ]

1

2020-10-19T13:36:20.000Z

async_sched/client/request_schedules.py

justengel/async_sched

f980722d51d15025522b2265426b0188ff368418

[ "MIT" ]

null

async_sched/client/request_schedules.py

justengel/async_sched

f980722d51d15025522b2265426b0188ff368418

[ "MIT" ]

null

""" module to run with the -m flag python -m async_sched.client.request_schedules """ import argparse from async_sched.client.client import request_schedules from async_sched.utils import DEFAULT_HOST, DEFAULT_PORT __all__ = ['NAME', 'get_argparse', 'main'] NAME = 'request_schedules' def get_argparse(host: str ...

26.25

117

0.70381

151

1,050

4.655629

0.357616

0.091038

0.059744

0.051209

0.196302

0.102418

0

0.175238

1,050

39

118

26.923077

0.811778

0.074286

0

0.139148

0

1

0.1

false

0

0.15

0

0.3

0

null

0

null

0

1

0

e2a4885ec926f3d640fc765abc70c06983834ccb

2,156

py

Python

sns/api/reddit/reddit.py

kylepw/panner

482ef8e8c1e8d9464d7dc8e4df5b5d9b58e83d35

[ "MIT" ]

2

2019-07-20T01:48:20.000Z

2019-11-15T06:50:54.000Z

sns/api/reddit/reddit.py

kylepw/panner

482ef8e8c1e8d9464d7dc8e4df5b5d9b58e83d35

[ "MIT" ]

5

2020-02-12T08:58:06.000Z

2021-09-22T17:56:42.000Z

sns/api/reddit/reddit.py

kylepw/panner

482ef8e8c1e8d9464d7dc8e4df5b5d9b58e83d35

[ "MIT" ]

null

from datetime import datetime import logging import os from praw import Reddit as PrawReddit from prawcore.exceptions import NotFound import pytz logger = logging.getLogger(__name__) class Reddit: def __init__(self, client_id=None, client_secret=None, user_agent=None): self.client_id = client_id or os.ge...

35.933333

84

0.621521

251

2,156

5.155378

0.334661

0.037094

0.027821

0.037094

0.140649

0.037094

0

0.000651

0.28757

2,156

59

85

36.542373

0.841797

0.057514

0

0.040816

0

0.062004

0

1

0.081633

false

0

0.122449

0

0.306122

0

null

0

null

0

1

0

e2a8d2bec3d6270cbb856eb6bae1fa43dddb9949

1,736

py

Python

tests/test_lsp.py

WeixinYang/DatasetLoader

d6e800d6a9cca8809d7dab88a6a13a7916ef272d

[ "Apache-2.0" ]

1

2021-08-16T14:14:40.000Z

tests/test_lsp.py

WeixinYang/DatasetLoader

d6e800d6a9cca8809d7dab88a6a13a7916ef272d

[ "Apache-2.0" ]

1

2020-10-12T20:56:21.000Z

tests/test_lsp.py

WeixinYang/DatasetLoader

d6e800d6a9cca8809d7dab88a6a13a7916ef272d

[ "Apache-2.0" ]

1

2021-06-14T10:30:08.000Z

import os.path import pytest from datasetloader import LSP from datasetloader import LSPExtended from . import DS_PATH class TestLSP(): def test_LSP(self): # test loading both, full sized and small images folders = ("lsp", "lsp_small") for ds in folders: lsp = LSP(os.path.joi...

41.333333

78

0.611751

215

1,736

4.837209

0.316279

0.074038

0.076923

0.092308

0.481731

0.396154

0.338462

0.259615

0

0.040253

0.270161

1,736

41

79

42.341463

0.780584

0.173387

0

0.139356

0.014706

0

0.344828

1

0.068966

false

0

0.172414

0

0.275862

0

null

0

null

0

1

0

e2aefdb5d4c4918146034a0834daf3d3d9bd181b

1,173

py

Python

website/python/app.py

man-r/DimensionsLab

c94c3aec0d52326ad522a6fa41d43ec3bde87d74

[ "MIT" ]

null

website/python/app.py

man-r/DimensionsLab

c94c3aec0d52326ad522a6fa41d43ec3bde87d74

[ "MIT" ]

1

2022-03-24T06:13:52.000Z

website/python/app.py

man-r/DimensionsLab

c94c3aec0d52326ad522a6fa41d43ec3bde87d74

[ "MIT" ]

null

from flask import Flask from flask_restful import Api, Resource, reqparse app = Flask(__name__) api = Api(app) users = [ { "name": "Nicholas", "age": 42, "occupation": "Network Engineer" }, { "name": "Elvin", "age": 32, "occupation": "Doctor" }, { ...

19.881356

66

0.58994

146

1,173

4.678082

0.40411

0.046852

0.039531

0.061493

0.1347

0.111274

0

0.023864

0.249787

1,173

59

67

19.881356

0.752273

0

0.083333

0

0.204429

0

1

0.0625

false

0

0.041667

0

0.229167

0

null

0

null

0

1

0

e2af09249eabdf6c6cfac1108013ff5630a16a85

371

py

Python

src/applications/reviews/urls.py

Alex-T13/sxw_data_conversion

ae70198960af1af004ad28b73d6e885c5afa74c2

[ "MIT" ]

null

src/applications/reviews/urls.py

Alex-T13/sxw_data_conversion

ae70198960af1af004ad28b73d6e885c5afa74c2

[ "MIT" ]

null

src/applications/reviews/urls.py

Alex-T13/sxw_data_conversion

ae70198960af1af004ad28b73d6e885c5afa74c2

[ "MIT" ]

null

from django.urls import path from applications.reviews import views urlpatterns = [ path('', views.AllPostView.as_view(), name='reviews'), path('add_post', views.AddPostView.as_view(), name='add_post'), path('post/<int:pk>', views.ShowPostView.as_view(), name='post'), path('update_post/<int:pk>', view...

33.727273

85

0.700809

50

371

5.04

0.42

0.095238

0.15873

0.111111

0

0.113208

371

10

86

37.1

0.765957

0

0.191375

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

e2af6e967078f9ead2d03be919925056b558ae89

13,207

py

Python

tests/tests_with_server_and_cached_results/test_planner/test_canvas.py

aquariumbio/trident

d1712cae544103fb145e3171894e4b35141f6813

[ "MIT" ]

5

2019-01-21T11:12:05.000Z

2020-03-05T20:52:14.000Z

tests/tests_with_server_and_cached_results/test_planner/test_canvas.py

aquariumbio/pydent

d1712cae544103fb145e3171894e4b35141f6813

[ "MIT" ]

28

2020-11-18T02:07:09.000Z

2021-06-08T15:49:41.000Z

tests/tests_with_server_and_cached_results/test_planner/test_canvas.py

aquariumbio/trident

d1712cae544103fb145e3171894e4b35141f6813

[ "MIT" ]

2

2021-02-27T19:23:45.000Z

2021-09-14T10:29:07.000Z

import pytest from pydent.planner import Planner from pydent.planner import PlannerException from pydent.planner.utils import get_subgraphs def test_canvas_create(session): canvas = Planner(session) canvas.create() assert canvas.plan.id def test_raises_exception_wiring_with_no_afts(session): canvas...

31.595694

88

0.687211

1,728

13,207

5.05787

0.118056

0.024714

0.067277

0.073684

0.645538

0.595881

0.484668

0.423455

0.398627

0.384439

0

0.016307

0.192095

13,207

417

89

31.671463

0.802812

0.015446

0

0.424342

0

0.173665

0

0.002398

0.151316

1

0.085526

false

0.003289

0.013158

0

0.098684

0.026316

0

null

0

null

0

1

0

e2b0056c08e76535e1062630476c66ecd0573a56

1,021

py

Python

icekit/plugins/image/migrations/0015_auto_20170310_2004.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

52

2016-09-13T03:50:58.000Z

2022-02-23T16:25:08.000Z

icekit/plugins/image/migrations/0015_auto_20170310_2004.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

304

2016-08-11T14:17:30.000Z

2020-07-22T13:35:18.000Z

icekit/plugins/image/migrations/0015_auto_20170310_2004.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

12

2016-09-21T18:46:35.000Z

2021-02-15T19:37:50.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('icekit_plugins_image', '0014_image_external_ref'), ] operations = [ migrations.RenameField( model_name='image', ...

34.033333

197

0.643487

116

1,021

5.456897

0.62931

0.042654

0.066351

0.082149

0.120063

0

0.010596

0.260529

1,021

29

198

35.206897

0.827815

0.020568

0

0.347826

0

0.043478

0.340681

0.071142

0

1

0

false

0

0.086957

0

0.217391

0

null

0

null

0

1

0

e2b14a40b24c80800d570e25ab804585deb5e038

3,531

py

Python

b3j0f/conf/parser/resolver/base.py

b3j0f/configuration

18dd6d5d6560f9b202793739e2330a2181163511

[ "MIT" ]

3

2016-02-18T18:58:24.000Z

2017-03-14T08:40:01.000Z

b3j0f/conf/parser/resolver/base.py

b3j0f/configuration

18dd6d5d6560f9b202793739e2330a2181163511

[ "MIT" ]

1

2016-02-18T15:27:35.000Z

2016-04-02T10:36:43.000Z

b3j0f/conf/parser/resolver/base.py

b3j0f/configuration

18dd6d5d6560f9b202793739e2330a2181163511

[ "MIT" ]

null

# -*- coding: utf-8 -*- # -------------------------------------------------------------------- # The MIT License (MIT) # # Copyright (c) 2015 Jonathan Labéjof <jonathan.labejof@gmail.com> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation fi...

35.666667

79

0.704616

436

3,531

5.616972

0.479358

0.035933

0.010617

0.013067

0

0.003149

0.190598

3,531

98

80

36.030612

0.853744

0.74823

0

0.015584

0

1

0.095238

false

0

0.142857

0

0.428571

0

null

0

null

0

1

0

e2b187b27bc8c59eec3870b18d05e4350c4e270b

1,670

py

Python

statement_renamer/extractors/capitalone360.py

mkazin/StatementRenamer

ef03c71f0e627a15a4bba08e45bfa90ecacd28fc

[ "Apache-2.0" ]

null

statement_renamer/extractors/capitalone360.py

mkazin/StatementRenamer

ef03c71f0e627a15a4bba08e45bfa90ecacd28fc

[ "Apache-2.0" ]

15

2018-05-01T12:48:30.000Z

2021-05-14T02:52:48.000Z

statement_renamer/extractors/capitalone360.py

mkazin/StatementRenamer

ef03c71f0e627a15a4bba08e45bfa90ecacd28fc

[ "Apache-2.0" ]

1

2019-07-09T22:59:50.000Z

from datetime import datetime from .extractor import DateExtractor, ExtractedData, ExtractorException class CapitalOne360ExtractorException(ExtractorException): def __init__(self, *args, **kwargs): ExtractorException.__init__(self, *args, **kwargs) class CapitalOne360DateExtractor(DateExtractor): ...

29.821429

83

0.592814

166

1,670

5.620482

0.385542

0.052519

0.025723

0.038585

0.096463

0

0.021386

0.3

1,670

55

84

30.363636

0.776732

0

0.052632

0

0.086228

0.038922

0

1

0.078947

false

0.026316

0.052632

0.026316

0.368421

0.026316

0

null

0

null

0

1

0

e2b274a05a49e36d3f5f1623c359598acd291590

1,335

py

Python

setup.py

oeg-upm/ya2ro

799b59046c77a9277b92f2adfa1521d353dfe93d

[ "Apache-2.0" ]

1

2021-10-06T09:34:48.000Z

setup.py

oeg-upm/ya2ro

799b59046c77a9277b92f2adfa1521d353dfe93d

[ "Apache-2.0" ]

30

2021-11-17T18:35:31.000Z

2022-03-28T10:46:45.000Z

setup.py

PavelAntonia/EELISA-research-object

799b59046c77a9277b92f2adfa1521d353dfe93d

[ "Apache-2.0" ]

1

2021-11-22T17:15:53.000Z

from setuptools import find_packages, setup version = {} with open("src/ya2ro/ya2ro.py") as fp: exec(fp.read(), version) setup( name='ya2ro', author='Antonia Pavel', author_email='floriana.antonia.pavel@gmail.com', description='Tool to which you pass basic information of a project or a research ar...

37.083333

393

0.64794

175

1,335

4.851429

0.622857

0.035336

0.03298

0.040047

0.047114

0

0.02644

0.206742

1,335

35

394

38.142857

0.77526

0

0.030303

0.546816

0.02397

0

1

0

false

0.030303

0

0.030303

0

null

0

null

0

1

0

e2b8e2b89a1d109f4bd53134df5660df9751af92

545

py

Python

actstream/tests/test_apps.py

kimbugp/django-activity-stream

4e53e62adf2b82cd01ab70a033839ab61b2d087b

[ "BSD-3-Clause" ]

1,489

2015-01-02T02:46:30.000Z

2022-03-30T07:32:45.000Z

actstream/tests/test_apps.py

kimbugp/django-activity-stream

4e53e62adf2b82cd01ab70a033839ab61b2d087b

[ "BSD-3-Clause" ]

277

2015-01-02T19:54:09.000Z

2022-03-28T12:07:20.000Z

actstream/tests/test_apps.py

kimbugp/django-activity-stream

4e53e62adf2b82cd01ab70a033839ab61b2d087b

[ "BSD-3-Clause" ]

345

2015-01-13T01:02:42.000Z

2022-03-21T09:39:26.000Z

from unittest import TestCase from django.apps.registry import apps class ActstreamConfigTestCase(TestCase): def test_data_field_is_added_to_action_class_only_once_even_if_app_is_loaded_again(self): actstream_config = apps.get_app_config('actstream') actstream_config.ready() actstream_co...

28.684211

93

0.702752

68

545

5.294118

0.558824

0.125

0.111111

0

0.002381

0.229358

545

18

94

30.277778

0.854762

0

0.153846

0

0.023853

0

0.076923

1

0.076923

false

0

0.230769

0

0.384615

0

null

0

null

0

1

0

2c3378c740ae8e44f9721f70acf8526419bc1dcc

26,445

py

Python

viz_platform/dynamic_datasets/model/classes.py

alexanderzimmerman/smart-vp-server

3aa57b5fa32e90a8406684d0d0a2860e224d7916

[ "Apache-2.0" ]

null

viz_platform/dynamic_datasets/model/classes.py

alexanderzimmerman/smart-vp-server

3aa57b5fa32e90a8406684d0d0a2860e224d7916

[ "Apache-2.0" ]

null

viz_platform/dynamic_datasets/model/classes.py

alexanderzimmerman/smart-vp-server

3aa57b5fa32e90a8406684d0d0a2860e224d7916

[ "Apache-2.0" ]

null

import numpy as np import scipy import scipy.special import scipy.interpolate import pickle import sklearn import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec import MySQLdb import sqlalchemy from sqlalchemy.ext.declarative import declarative_base import sqla...

49.615385

163

0.690187

3,100

26,445

5.775484

0.09129

0.035579

0.020331

0.029491

0.618968

0.529156

0.495588

0.461852

0.440684

0.416778

0

0.019792

0.180374

26,445

533

164

49.615385

0.806228

0.010739

0

0.450855

0

0.091525

0.008108

0

1

0.023504

false

0

0.036325

0

0.465812

0.00641

0

null

0

null

0

1

0

2c3545b94818bca3c82a497be99bd356be44a3e7

7,592

py

Python

lokii/table.py

dorukerenaktas/lok

0fce198cfc3e5293a2666a66a5d1ee80b81fca48

[ "MIT" ]

1

2021-02-07T09:57:28.000Z

lokii/table.py

dorukerenaktas/lokii

0fce198cfc3e5293a2666a66a5d1ee80b81fca48

[ "MIT" ]

null

lokii/table.py

dorukerenaktas/lokii

0fce198cfc3e5293a2666a66a5d1ee80b81fca48

[ "MIT" ]

null

import random from typing import Dict, Callable, List, Any, Optional import pandas as pd class Table: def __init__(self, name: str, outfile: str, index_cache_size: int, random_cache_size: int, debug: bool): """ D...

37.584158

107

0.601159

979

7,592

4.467824

0.180797

0.056013

0.093278

0.058299

0.386145

0.328304

0.318244

0.262003

0

0.00403

0.31362

7,592

201

108

37.771144

0.835348

0.221417

0

0.318966

0

0.066407

0

1

0.12069

false

0

0.025862

0.017241

0.25

0

null

0

null

0

1

0

2c36eb0bb22cd8a2ed48443d1c87d8de5ed364ca

13,428

py

Python

powerspectrum.py

ronniyjoseph/Beam-Perturbations

0122fed7e3018f2e188e12b62ad760e11f6eb158

[ "MIT" ]

null

powerspectrum.py

ronniyjoseph/Beam-Perturbations

0122fed7e3018f2e188e12b62ad760e11f6eb158

[ "MIT" ]

4

2019-06-25T02:02:56.000Z

2019-10-24T08:12:41.000Z

powerspectrum.py

ronniyjoseph/Beam-Perturbations

0122fed7e3018f2e188e12b62ad760e11f6eb158

[ "MIT" ]

null

import numpy import powerbox import matplotlib from matplotlib import pyplot import matplotlib.colors as colors from plottools import colorbar from generaltools import symlog_bounds from radiotelescope import beam_width """ This file is going to contain all relevant power spectrum functions, i.e data gridding, (freq...

44.611296

126

0.629803

1,624

13,428

4.886084

0.153941

0.042344

0.011342

0.035287

0.470951

0.427095

0.393321

0.362067

0.325646

0.284814

0

0.012316

0.26832

13,428

301

127

44.611296

0.795318

0.027703

0

0.232227

0

0.028948

0.002484

0

1

0.042654

false

0.004739

0.037915

0.014218

0.127962

0.033175

0

null

0

null

0

1

0

2c3a2df09b00838929b47a69b48dbd4d97a14392

3,089

py

Python

banditpylib/protocols/single_player.py

XiGYmax/banditpylib

07698a1c6b17720a8199dea76580546fe3dfb9be

[ "MIT" ]

null

banditpylib/protocols/single_player.py

XiGYmax/banditpylib

07698a1c6b17720a8199dea76580546fe3dfb9be

[ "MIT" ]

null

banditpylib/protocols/single_player.py

XiGYmax/banditpylib

07698a1c6b17720a8199dea76580546fe3dfb9be

[ "MIT" ]

null

from typing import List, Dict import numpy as np from absl import logging from banditpylib.bandits import Bandit from banditpylib.learners import Learner from .utils import Protocol class SinglePlayerProtocol(Protocol): """Single player protocol This protocol is used to simulate the ordinary single-player gam...

28.601852

79

0.672062

388

3,089

5.224227

0.311856

0.074988

0.044401

0.019734

0.049334

0.03256

0

0.001313

0.260602

3,089

107

80

28.869159

0.886165

0.390418

0

0.04

0

0.033708

0.01236

0

1

0.08

false

0

0.12

0

0.26

0

null

0

null

0

1

0

2c3ba3a7de0cd2d1f09de245212daad861a07972

2,873

py

Python

3pxnet-inference/scripts/runValidation.py

SRavit1/3pxnet

1f81a2bdcbb97c42163e914b01dba4e6c73ade60

[ "MIT" ]

7

2020-12-11T16:06:03.000Z

2022-02-13T20:56:06.000Z

3pxnet-inference/scripts/runValidation.py

SRavit1/3pxnet

1f81a2bdcbb97c42163e914b01dba4e6c73ade60

[ "MIT" ]

4

2021-07-13T10:50:49.000Z

2021-08-13T16:06:20.000Z

3pxnet-inference/scripts/runValidation.py

SRavit1/3pxnet

1f81a2bdcbb97c42163e914b01dba4e6c73ade60

[ "MIT" ]

1

2021-07-06T03:41:55.000Z

#!/usr/bin/env python ################################################################################ # MIT License # # Copyright (c) 2019 UCLA NanoCAD Laboratory # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "So...

34.614458

95

0.577445

334

2,873

4.907186

0.535928

0.053691

0.015863

0

0.006803

0.283676

2,873

82

96

35.036585

0.789602

0.485207

0

0.145121

0

1

0.090909

false

0.030303

0

0.181818

0.121212

0

null

0

null

0

1

0

2c3c00e8f94657bbf831d69554620cc2f14d7279

978

py

Python

setup.py

nous-consulting/basecamp-next

33851de091056a33663c9370f564cf3d41fe868f

[ "MIT" ]

2

2015-03-28T21:50:36.000Z

2015-09-10T22:29:17.000Z

setup.py

GetBlimp/basecamp-next

f7ebdd3da97ee13cd5ca18f440506fbbc84e7800

[ "MIT" ]

null

setup.py

GetBlimp/basecamp-next

f7ebdd3da97ee13cd5ca18f440506fbbc84e7800

[ "MIT" ]

4

2015-04-14T16:18:26.000Z

2021-03-28T19:00:21.000Z

import os try: from setuptools import setup except ImportError: from distutils.core import setup def read(fname): return open(os.path.join(os.path.dirname(__file__), fname)).read() required = ['requests>=1.0.0', 'requests-oauth2>=0.2.0'] setup( name='basecampx', version='0.1.8', ...

27.166667

70

0.641104

112

978

5.517857

0.705357

0.035599

0

0.016905

0.213701

978

35

71

27.942857

0.786736

0

0.408998

0.022495

0

1

0.032258

false

0

0.129032

0.032258

0.193548

0

null

0

null

0

1

0

2c3c2a730b5f9ebaec5a9cf2153e02f5e709d39e

2,602

py

Python

crop_align/crop_align_affectnet.py

AutoLV/NoisyFER

353ff60bad90dd346cd6a8fc54d7a6acd5897044

[ "MIT" ]

15

2020-11-09T16:35:08.000Z

2022-02-12T14:53:11.000Z

crop_align/crop_align_affectnet.py

AutoLV/NoisyFER

353ff60bad90dd346cd6a8fc54d7a6acd5897044

[ "MIT" ]

1

2021-07-21T03:33:46.000Z

2021-08-08T20:24:12.000Z

crop_align/crop_align_affectnet.py

AutoLV/NoisyFER

353ff60bad90dd346cd6a8fc54d7a6acd5897044

[ "MIT" ]

3

2021-03-30T10:21:52.000Z

2021-09-12T15:55:32.000Z

import sys rootPath = '/Users/siwei/Desktop/noisyFER' sys.path.append(rootPath) import os from tqdm import tqdm import cv2 import csv import numpy as np import argparse from crop_align.align import MyFaceAligner parser = argparse.ArgumentParser() parser.add_argument("--root", type=str, default='datasets/affectnet')...

35.162162

103

0.618755

359

2,602

4.300836

0.367688

0.05829

0.03886

0.040803

0.223446

0.146373

0.059585

0

0.019309

0.243659

2,602

74

104

35.162162

0.765244

0.097233

0

0.161401

0.040991

0

1

0.037037

false

0

0.148148

0

0.203704

0.055556

0

null

0

null

0

1

0

2c3c89d30724c38d60dae13286e13556b05ebcb3

640

py

Python

bot/cli.py

LukasForst/toggl-wire-bot

1a242ef281b3cb501f30a1acee9cda7fd2cb2a84

[ "MIT" ]

null

bot/cli.py

LukasForst/toggl-wire-bot

1a242ef281b3cb501f30a1acee9cda7fd2cb2a84

[ "MIT" ]

null

bot/cli.py

LukasForst/toggl-wire-bot

1a242ef281b3cb501f30a1acee9cda7fd2cb2a84

[ "MIT" ]

null

#!/usr/bin/env python import argparse from Toggl.togglApi import getTogglReport if __name__ == '__main__': parser = argparse.ArgumentParser(description='Obtain report from Toggl.') parser.add_argument("--toggl-token", "-tt", help="Set Toggl token.") parser.add_argument("--toggl-workspace", "-w", help="S...

32

96

0.698438

83

640

5.204819

0.46988

0.083333

0.157407

0.101852

0

0.142188

640

19

97

33.684211

0.786885

0.03125

0

0.276252

0

1

0

false

0

0.181818

0

0.181818

0.090909

0

null

0

null

0

1

0

2c3e24b4b6d91fcd05c76dfb86067fae1b3b498e

3,746

py

Python

a_storage/codec/codec_agroup.py

praefrontalis/Anfisa-Annotations

b4127c68e3696b75b2972f6759437034cc56f8e3

[ "Apache-2.0" ]

null

a_storage/codec/codec_agroup.py

praefrontalis/Anfisa-Annotations

b4127c68e3696b75b2972f6759437034cc56f8e3

[ "Apache-2.0" ]

3

2022-03-28T13:44:24.000Z

2022-03-28T13:53:57.000Z

a_storage/codec/codec_agroup.py

praefrontalis/Anfisa-Annotations

b4127c68e3696b75b2972f6759437034cc56f8e3

[ "Apache-2.0" ]

3

2019-02-18T17:05:06.000Z

2022-03-22T19:42:38.000Z

from ._codec_data import _CodecData #=============================================== class CodecAGroup(_CodecData): def __init__(self, master, parent, schema_instr, default_name): self.mGroupName = "?" _CodecData.__init__(self, master, parent, schema_instr, default_name) self.mGroup = self._...

38.618557

77

0.540577

422

3,746

4.592417

0.203791

0.057792

0.014448

0.022704

0.241486

0.134159

0.097007

0.070175

0.047472

0

0.00405

0.340897

3,746

96

78

39.020833

0.780883

0.012547

0

0.137931

0

0.037317

0

0.011494

1

0.103448

false

0

0.011494

0.034483

0.206897

0

null

0

null

0

1

0

2c3ea335989982f0ae8f5847cf419f798c2e40fa

3,528

py

Python

app/customer/models/bottle_message.py

B-ROY/TESTGIT

40221cf254c90d37d21afb981635740aebf11949

[ "Apache-2.0" ]

2

2017-12-02T13:58:30.000Z

2018-08-02T17:07:59.000Z

app/customer/models/bottle_message.py

B-ROY/TESTGIT

40221cf254c90d37d21afb981635740aebf11949

[ "Apache-2.0" ]

null

app/customer/models/bottle_message.py

B-ROY/TESTGIT

40221cf254c90d37d21afb981635740aebf11949

[ "Apache-2.0" ]

null

# coding=utf-8 import random from mongoengine import * from base.settings import CHATPAMONGO import datetime connect(CHATPAMONGO.db, host=CHATPAMONGO.host, port=CHATPAMONGO.port, username=CHATPAMONGO.username, password=CHATPAMONGO.password) class BottleMessageText(Document): USER_TYPE = [ (0, "主...

23.837838

100

0.622166

426

3,528

4.894366

0.246479

0.086331

0.07482

0.086331

0.336691

0.177458

0.106475

0.040288

0

0.009277

0.266723

3,528

147

101

24

0.796676

0.016723

0

0.22

0

0.035673

0

0.006803

0

1

0.09

false

0.03

0.04

0.02

0.37

0

null

0

null

0

1

0

2c43035692fa6a7c9793606b200857a4997d78db

3,646

py

Python

names_generator/__init__.py

glentner/names_generator

c3526a90f3c0f8d2b388542dc3770baa4cc455fe

[ "Apache-2.0" ]

1

2020-12-03T08:52:58.000Z

names_generator/__init__.py

glentner/names_generator

c3526a90f3c0f8d2b388542dc3770baa4cc455fe

[ "Apache-2.0" ]

null

names_generator/__init__.py

glentner/names_generator

c3526a90f3c0f8d2b388542dc3770baa4cc455fe

[ "Apache-2.0" ]

2

2021-01-16T08:52:33.000Z

2022-02-24T13:53:58.000Z

# This program is free software: you can redistribute it and/or modify it under the # terms of the Apache License (v2.0) as published by the Apache Software Foundation. # # This program is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or...

28.708661

93

0.694185

491

3,646

5.01833

0.356415

0.031656

0.035714

0.030438

0.08888

0.062094

0.049919

0

0.004326

0.175809

3,646

126

94

28.936508

0.815641

0.302523

0

0.046154

0

0.232035

0.017664

0

1

0.138462

false

0

0.123077

0.061538

0.446154

0.015385

0

null

0

null

0

1

0

2c431d85cef6b81fa14e9c6e9f5d7057ee4c9176

849

py

Python

cotd/plugins/motivationv2.py

5h4d0w4rt/cotd-telegram-bot

2185353047557aa0864d64d464597993d0b5eb02

[ "MIT" ]

1

2021-01-14T10:03:49.000Z

cotd/plugins/motivationv2.py

5h4d0w4rt/cotd-telegram-bot

2185353047557aa0864d64d464597993d0b5eb02

[ "MIT" ]

2

2020-09-13T00:47:54.000Z

2021-09-25T16:14:35.000Z

cotd/plugins/motivationv2.py

5h4d0w4rt/cotd-telegram-bot

2185353047557aa0864d64d464597993d0b5eb02

[ "MIT" ]

1

2020-09-12T22:34:04.000Z

import io import typing import uuid import ratelimit import telegram import telegram.ext from cotd.plugins.helpers import make_image from PIL import Image ONE_SECOND = 1 def motivation_inline( update: telegram.Update, context: telegram.ext.CallbackContext ) -> telegram.InlineQueryResultCachedPhoto: db = con...

24.257143

83

0.714959

107

849

5.485981

0.448598

0.0477

0.027257

0

0.004373

0.191991

849

34

84

24.970588

0.851312

0

0.040047

0

1

0.035714

false

0

0.285714

0

0.392857

0

null

0

null

0

1

0

2c46ebea0fe0e050587aad5c5ac6a903aa168e9c

21,090

py

Python

renderSDK/Rayvision.py

wangshunhui/renderSDK

b512c43fd0111c114b6abc6398c4609b758436e4

[ "Apache-2.0" ]

2

2020-02-12T09:57:46.000Z

2020-04-03T07:40:07.000Z

renderSDK/Rayvision.py

wangshunhui/renderSDK

b512c43fd0111c114b6abc6398c4609b758436e4

[ "Apache-2.0" ]

null

renderSDK/Rayvision.py

wangshunhui/renderSDK

b512c43fd0111c114b6abc6398c4609b758436e4

[ "Apache-2.0" ]

1

2020-04-16T11:19:58.000Z

#!/usr/bin/env python # -*- coding:utf-8 -*- """ Main """ from .compat import * import os import sys import logging import codecs import time from .RayvisionUtil import get_os, hump2underline, cg_id_name_dict, decorator_use_in_class, format_time from .RayvisionAPI import RayvisionAPI from .RayvisionJob import Rayvi...

46.048035

233

0.625273

2,889

21,090

4.264105

0.131187

0.028736

0.029223

0.040182

0.419677

0.365695

0.322997

0.272181

0.248234

0.224694

0

0.012656

0.276908

21,090

457

234

46.148797

0.795148

0.258464

0

0.265734

0

0.089122

0.009694

0

1

0.052448

false

0

0.045455

0

0.136364

0.027972

0

null

0

null

0

1

0

2c4810e4fa88798c039566c38fcfb8acd43be82c

13,764

py

Python

scqubits/io_utils/fileio_backends.py

dmtvanzanten/scqubits

d4d8a0f71ac91077594a6173348279aa490ed048

[ "BSD-3-Clause" ]

null

scqubits/io_utils/fileio_backends.py

dmtvanzanten/scqubits

d4d8a0f71ac91077594a6173348279aa490ed048

[ "BSD-3-Clause" ]

null

scqubits/io_utils/fileio_backends.py

dmtvanzanten/scqubits

d4d8a0f71ac91077594a6173348279aa490ed048

[ "BSD-3-Clause" ]

null

# fileio_backends.py # # This file is part of scqubits. # # Copyright (c) 2019 and later, Jens Koch and Peter Groszkowski # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. ###############################...

35.84375

89

0.613266

1,653

13,764

4.900181

0.174834

0.059753

0.020988

0.008889

0.328395

0.229136

0.169506

0.12963

0.095926

0.062716

0

0.013732

0.285745

13,764

383

90

35.937337

0.810192

0.204083

0

0.228814

0

0.029821

0

0.004237

1

0.110169

false

0.016949

0.055085

0

0.237288

0

null

0

null

0

1

0

2c4e1b3188875d9cc7ead2bb542721689bd51cbf

2,107

py

Python

util/trig.py

alemigliardi/talkbot

371f2c9e7240a4438cbb202865cf18dbefb0c352

[ "MIT" ]

2

2021-08-07T12:01:26.000Z

2022-01-31T13:48:25.000Z

util/trig.py

alemigliardi/talkbot

371f2c9e7240a4438cbb202865cf18dbefb0c352

[ "MIT" ]

null

util/trig.py

alemigliardi/talkbot

371f2c9e7240a4438cbb202865cf18dbefb0c352

[ "MIT" ]

1

2021-08-07T12:01:28.000Z

import os import re import asyncio from pyrogram.types import Message from util.message import send_media class Trigger: def __init__(self, regex:str, response:str = "", from_self:bool = False, from_others:bool = True, mention:bool = True, media_path:str = "", auto_vanish:int = -1, ): self.re...

24.218391

79

0.688657

301

2,107

4.664452

0.252492

0.051282

0.049858

0.042735

0.08547

0.068376

0

0.001156

0.178927

2,107

86

80

24.5

0.810405

0.011391

0

0.135135

0

0.086977

0

1

0.094595

false

0

0.067568

0.040541

0.297297

0

null

0

null

0

1

0

2c4fccadd03cd528d853e80ad9d2e69c96250a99

3,185

py

Python

back-app/research/form_vision/template_matching.py

AntoineAwaida/ad-covia

1dd10a0361421149e6e318fee146ccf370a81074

[ "MIT" ]

1

2020-04-15T13:48:34.000Z

back-app/research/form_vision/template_matching.py

AntoineAwaida/ad-covia

1dd10a0361421149e6e318fee146ccf370a81074

[ "MIT" ]

1

2022-02-13T09:58:43.000Z

back-app/research/form_vision/template_matching.py

AntoineAwaida/ad-covia

1dd10a0361421149e6e318fee146ccf370a81074

[ "MIT" ]

null

import cv2 from typing import Tuple, Generator from research.form_vision.image import Image, NormalizedCoords import numpy as np class TemplateMatcher: width = 800 def __init__( self, template_image: Image, reference_region: Tuple[NormalizedCoords, NormalizedCoords] ): self._template = te...

44.236111

96

0.663736

412

3,185

4.759709

0.218447

0.107088

0.053034

0.038756

0.164202

0.123406

0.047935

0

0.022231

0.237363

3,185

71

97

44.859155

0.785097

0

0.066667

0

1

0.1

false

0

0.066667

0.016667

0.283333

0.016667

0

null

0

null

0

1

0

2c5166b8cabcb5a4f633be4f4e1a16e185d3520c

763

py

Python

src/run.py

ShaghayeghAmeri/test

968eea52ce0ea309f020add61ab597ca402feb14

[ "MIT" ]

null

src/run.py

ShaghayeghAmeri/test

968eea52ce0ea309f020add61ab597ca402feb14

[ "MIT" ]

null

src/run.py

ShaghayeghAmeri/test

968eea52ce0ea309f020add61ab597ca402feb14

[ "MIT" ]

null

import os import emoji import telebot from loguru import logger from src.utils.constant import keyboards from src.utils.io import write_json class But: """ telegram bot to randomly connect two strangers """ def __init__(self): self.bot = telebot.TeleBot(os.environ['BOT_TOKEN']) self....

23.84375

89

0.673657

104

763

4.740385

0.509615

0.056795

0.048682

0

0.209699

763

31

90

24.612903

0.817579

0.060288

0

0.065714

0

1

0.15

false

0

0.3

0

0.5

0.05

0

null

0

null

0

1

0

2c52b06ffe9aba58e5600ed9c53a392211b57c2c

713

py

Python

PythonFiles/MCQGame.py

IamVaibhavsar/Python_Files

283d73929a3e11955c71499407c4f8bff56e4273

[ "MIT" ]

null

PythonFiles/MCQGame.py

IamVaibhavsar/Python_Files

283d73929a3e11955c71499407c4f8bff56e4273

[ "MIT" ]

null

PythonFiles/MCQGame.py

IamVaibhavsar/Python_Files

283d73929a3e11955c71499407c4f8bff56e4273

[ "MIT" ]

1

2019-07-26T15:25:21.000Z

from MCQGame2 import Question MCQ=[ "What color of apples? \na)red\nb)blue\nc)green\nd)yellow", "Half adder has how many inputs?\na)1\nb)2\nc)3\nd)4", "which operator can be overloaded?\na).\nb).*\nc)::\nd)+" ] questions = [ Question(MCQ[0],"a"), #Objects of class Question Question...

31

82

0.601683

100

713

4.27

0.61

0.103045

0.074941

0

0.018587

0.245442

713

23

83

31

0.775093

0.106592

0

0.105263

0.30832

0.153344

0

1

0.052632

false

0

0.052632

0

0.105263

0.052632

0

null

0

null

0

1

0

2c52e41b928f577557908dcb035f2bea35861221

5,286

py

Python

gada/main.py

gadalang/gada

2dd4f4dfd5b7390c06307040cad23203a015f7a4

[ "MIT" ]

null

gada/main.py

gadalang/gada

2dd4f4dfd5b7390c06307040cad23203a015f7a4

[ "MIT" ]

null

gada/main.py

gadalang/gada

2dd4f4dfd5b7390c06307040cad23203a015f7a4

[ "MIT" ]

1

2021-06-15T13:52:33.000Z

from __future__ import annotations __all__ = ["run", "main"] import os import sys import io import argparse from typing import Optional from gada import component, runners, datadir def split_unknown_args(argv: list[str]) -> tuple[list[str], list[str]]: """Separate known command-line arguments from unknown one. ...

30.034091

90

0.541241

582

5,286

4.821306

0.252577

0.022808

0.027798

0.024234

0.560941

0.54526

0.518175

0

0.001399

0.323685

5,286

175

91

30.205714

0.783497

0.588347

0

0.214286

0

0.075607

0

1

0.053571

false

0

0.125

0

0.214286

0

null

0

null

0

1

0

2c542dbe200f504a92d4395bd7676e95bb9c6b42

2,912

py

Python

Example_Cases/Gypsum_Model/Scripts/external_gyp1d.py

koverholt/bayes-fire

4333cdf7b93bf77d8e021f0c4a1931a77056534d

[ "BSD-3-Clause" ]

6

2016-06-19T12:44:22.000Z

2021-12-21T07:01:38.000Z

Example_Cases/Gypsum_Model/Scripts/external_gyp1d.py

koverholt/bayes-fire

4333cdf7b93bf77d8e021f0c4a1931a77056534d

[ "BSD-3-Clause" ]

null

Example_Cases/Gypsum_Model/Scripts/external_gyp1d.py

koverholt/bayes-fire

4333cdf7b93bf77d8e021f0c4a1931a77056534d

[ "BSD-3-Clause" ]

2

2017-10-15T02:37:25.000Z

2022-03-04T16:22:44.000Z

#!/usr/bin/env python """Module for gyp1d functions""" import numpy as np import platform import subprocess import os import data_expt as de # Detect operating system op_sys = platform.system() def gen_input( k1, k2, k3, k4, rho_0, c_p1, c_p2, c_p3, eps, Y1_0, A1, A2, E1, E2, dh1, dh2 ): """Genera...

26

76

0.457074

380

2,912

3.339474

0.363158

0.018913

0.014184

0.016548

0.092987

0.064618

0

0.082458

0.346154

2,912

111

77

26.234234

0.584034

0.246566

0

0.028571

0

0.014286

0.261538

0.020979

0

1

0.042857

false

0

0.071429

0

0.142857

0

null

0

null

0

1

0

2c54677ea98da9a5515de3a923f5ef0038257527

6,356

py

Python

datacollector/collector/maincollector.py

samharju/5GDrones-data-collector

331d8c433f5b46eaba62a55c39bbe12d365b2474

[ "Apache-2.0" ]

2

2021-04-26T07:08:26.000Z

2021-05-01T16:01:26.000Z

datacollector/collector/maincollector.py

samharju/5GDrones-data-collector

331d8c433f5b46eaba62a55c39bbe12d365b2474

[ "Apache-2.0" ]

null

datacollector/collector/maincollector.py

samharju/5GDrones-data-collector

331d8c433f5b46eaba62a55c39bbe12d365b2474

[ "Apache-2.0" ]

1

2021-05-01T15:04:46.000Z

# © 2021 Nokia # # Licensed under the Apache license, version 2.0 # SPDX-License-Identifier: Apache-2.0 """Class for handling collector threads.""" import logging import time from datetime import datetime from threading import Event, Thread from datacollector.collector.connection_config_parser import ConnectionConfig...

35.50838

118

0.637823

695

6,356

5.620144

0.284892

0.060932

0.046083

0.02765

0.117256

0.075269

0.041987

0

0.001736

0.274858

6,356

178

119

35.707865

0.84552

0.188483

0

0.184211

0

0.086735

0

1

0.166667

false

0.008772

0.061404

0.008772

0.324561

0

null

0

null

0

1

0

2c55b9fde76dce6c7aa8c956dc28575c3c2afb98

5,959

py

Python

utils/memory.py

alanmackey/DRL-for-BG-Control

a7c5015b828c250205b9ecb1bf4bdb928e0d975f

[ "MIT" ]

null

utils/memory.py

alanmackey/DRL-for-BG-Control

a7c5015b828c250205b9ecb1bf4bdb928e0d975f

[ "MIT" ]

null

utils/memory.py

alanmackey/DRL-for-BG-Control

a7c5015b828c250205b9ecb1bf4bdb928e0d975f

[ "MIT" ]

null

import numpy as np import torch class ReplayBuffer(object): def __init__( self, state_dim, action_dim, hidden_size, max_size=int(5e3), recurrent=False ): self.max_size = int(max_size) self.ptr = 0 self.size = 0 self.recurrent = recurrent s...

38.445161

80

0.538345

749

5,959

4.190921

0.158879

0.076457

0.087926

0.04014

0.670596

0.662313

0.630137

0.58936

0.540299

0

0.004302

0.336801

5,959

154

81

38.694805

0.78998

0.129888

0

0.531532

0

0.001396

0

0.006494

0

1

0.054054

false

0

0.018018

0

0.126126

0

null

0

null

0

1

0

2c566a2dcb7cec78c109c0686b33ccf0da89a5b9

1,043

py

Python

TilingDomains/main.py

ClathomasPrime/linear-prefs

e700589a82667ca0f307459816e4f5b211fbd7d2

[ "BSD-3-Clause" ]

null

TilingDomains/main.py

ClathomasPrime/linear-prefs

e700589a82667ca0f307459816e4f5b211fbd7d2

[ "BSD-3-Clause" ]

null

TilingDomains/main.py

ClathomasPrime/linear-prefs

e700589a82667ca0f307459816e4f5b211fbd7d2

[ "BSD-3-Clause" ]

null

from GraphDraw import * from Graph import * from Implicit import * from impExamples import * import os import errno flags = os.O_CREAT | os.O_EXCL | os.O_WRONLY # For trying stuff # Currently just displays the alternating domain on 9 outcomes n = 9 impG = impAlternatingDomain(n) G = impG.explicit() d = G.d G.comp...

21.285714

71

0.700863

156

1,043

4.653846

0.557692

0.022039

0.024793

0

0.002315

0.17162

1,043

48

72

21.729167

0.837963

0.223394

0

0.064516

0

0.121891

0.078358

0

1

0

false

0.032258

0.193548

0

0.193548

0

null

0

null

0

1

0

2c583e62e222fa52ab726c248c5d0731a9185e71

3,647

py

Python

reinforcement-learning/deep-line-wars/game_1.py

cair/experiments

d19a9eda0e9e743e401f46eec358f0c815c64a7c

[ "MIT" ]

null

reinforcement-learning/deep-line-wars/game_1.py

cair/experiments

d19a9eda0e9e743e401f46eec358f0c815c64a7c

[ "MIT" ]

null

reinforcement-learning/deep-line-wars/game_1.py

cair/experiments

d19a9eda0e9e743e401f46eec358f0c815c64a7c

[ "MIT" ]

null

import random import numpy as np from PIL import Image from DeepLineWars.Game import Game import uuid # https://github.com/cair/DeepRTS # https://github.com/reinforceio/tensorforce class GameInstance: @staticmethod def start(data_queue): g = GameInstance(data_queue) g.loop() return T...

26.427536

87

0.502879

398

3,647

4.462312

0.344221

0.050676

0.016892

0.024775

0.108108

0.087838

0.030405

0

0.03278

0.389361

3,647

137

88

26.620438

0.764706

0.05292

0

0.058824

0

0.076722

0

1

0.04902

false

0

0.068627

0

0.166667

0.019608

0

null

0

null

0

1

0

2c59f1356149160db7e39588bbaf937c38c8c634

790

py

Python

src/back-django/scraper_api/tests/views/test_page_list_view.py

Arkko002/PyWalker

9e8a02b74a1217cfed385898654815a218297cce

[ "MIT" ]

null

src/back-django/scraper_api/tests/views/test_page_list_view.py

Arkko002/PyWalker

9e8a02b74a1217cfed385898654815a218297cce

[ "MIT" ]

null

src/back-django/scraper_api/tests/views/test_page_list_view.py

Arkko002/PyWalker

9e8a02b74a1217cfed385898654815a218297cce

[ "MIT" ]

null

import json import pytest from django.urls import reverse from scraper_api.models import ScrapedPage class TestPageListView: @pytest.mark.django_db def test_get(self, client, fill_db, url, html): url = reverse("pages/") response = client.get(url) pages = json.loads(response.body) ...

23.939394

53

0.605063

98

790

4.77551

0.418367

0.044872

0.068376

0.076923

0.24359

0

0.017331

0.26962

790

32

54

24.6875

0.793761

0

0.173913

0

0.039241

0

0.086957

1

0.086957

false

0

0.173913

0

0.304348

0

null

0

null

0

1

0

2c5bc0aa11bc0c3b60a29a13ecd16e57a11921fb

594

py

Python

skfasttext/sk_ft_example.py

tatacoa/hatespeech

fab054d86848c2242443ae3ddf532e94f404f529

[ "MIT" ]

2

2020-03-15T13:46:46.000Z

2020-05-26T06:56:52.000Z

skfasttext/sk_ft_example.py

tatacoa/hatespeech

fab054d86848c2242443ae3ddf532e94f404f529

[ "MIT" ]

1

2018-05-22T20:22:39.000Z

skfasttext/sk_ft_example.py

tatacoa/hatespeech

fab054d86848c2242443ae3ddf532e94f404f529

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed May 2 17:34:43 2018 @author: arndt """ # http://scikit-learn.org/stable/developers/contributing.html#rolling-your-own-estimator # https://github.com/vishnumani2009/sklearn-fasttext from os import chdir chdir("/home/arndt/git-reps/hatespeech/") from ...

25.826087

88

0.76936

86

594

5.232558

0.755814

0.04

0

0.033457

0.094276

594

23

89

25.826087

0.802974

0.488215

0

0.236301

0.109589

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

2c5c4a72fd65572e3fc2aa97977ae16747547c5e

15,366

py

Python

src/niweb/apps/noclook/tests/schema/admin/test_schema.py

SUNET/ni

f652e230524346bf0801cdf8bbb6ee63f4985cc2

[ "BSD-2-Clause-FreeBSD" ]

null

src/niweb/apps/noclook/tests/schema/admin/test_schema.py

SUNET/ni

f652e230524346bf0801cdf8bbb6ee63f4985cc2

[ "BSD-2-Clause-FreeBSD" ]

2

2019-07-24T12:41:11.000Z

2020-03-31T10:10:04.000Z

src/niweb/apps/noclook/tests/schema/admin/test_schema.py

SUNET/ni

f652e230524346bf0801cdf8bbb6ee63f4985cc2

[ "BSD-2-Clause-FreeBSD" ]

1

2019-02-25T14:58:20.000Z

# -*- coding: utf-8 -*- __author__ = 'ffuentes' from apps.noclook.tests.schema.base import Neo4jGraphQLGenericTest from apps.noclook.models import NodeHandleContext from django.contrib.auth.models import User from niweb.schema import schema from pprint import pformat from . import BasicAdminTest import apps.noclook....

32.486258

84

0.416829

1,166

15,366

5.327616

0.135506

0.030908

0.025113

0.023181

0.680779

0.634095

0.602061

0.591436

0.553928

0.489375

0

0.003561

0.470064

15,366

472

85

32.555085

0.759302

0.035923

0

0.638961

0

0.20815

0

0.044156

1

0.018182

false

0

0.020779

0

0.057143

0.002597

0

null

0

null

0

1

0

2c5e15ddaa18b77dfb245e91f9e636201f9744ac

1,542

py

Python

alphamind/tests/analysis/test_perfanalysis.py

rongliang-tech/alpha-mind

39f720974c637d17e185e445dc05c9fc4863a241

[ "MIT" ]

186

2017-11-27T01:26:44.000Z

2022-03-28T16:11:33.000Z

alphamind/tests/analysis/test_perfanalysis.py

atefar2/alpha-mind

66d839affb5d81d31d5cac7e5e224278e3f99a8b

[ "MIT" ]

2

2017-12-19T02:47:36.000Z

2021-01-09T05:25:18.000Z

alphamind/tests/analysis/test_perfanalysis.py

atefar2/alpha-mind

66d839affb5d81d31d5cac7e5e224278e3f99a8b

[ "MIT" ]

65

2017-11-27T01:26:47.000Z

2022-03-17T10:50:52.000Z

# -*- coding: utf-8 -*- """ Created on 2017-5-12 @author: cheng.li """ import unittest import numpy as np import pandas as pd from alphamind.analysis.perfanalysis import perf_attribution_by_pos class TestPerformanceAnalysis(unittest.TestCase): @classmethod def test_perf_attribution_by_pos(cls): n...

33.521739

90

0.630999

186

1,542

4.897849

0.419355

0.052689

0.074643

0.188804

0.161361

0

0.017086

0.278859

1,542

45

91

34.266667

0.802158

0.040208

0

0.005435

0

0.037037

1

0.037037

false

0

0.148148

0

0.222222

0

null

0

null

0

1

0

2c5f7612ff8eec29cef986e54718511e7172e74e

1,457

py

Python

appengine/src/greenday_api/tests/test_distinct_channels_api.py

meedan/montage

4da0116931edc9af91f226876330645837dc9bcc

[ "Apache-2.0" ]

6

2018-07-31T16:48:07.000Z

2020-02-01T03:17:51.000Z

appengine/src/greenday_api/tests/test_distinct_channels_api.py

meedan/montage

4da0116931edc9af91f226876330645837dc9bcc

[ "Apache-2.0" ]

41

2018-08-07T16:43:07.000Z

2020-06-05T18:54:50.000Z

appengine/src/greenday_api/tests/test_distinct_channels_api.py

meedan/montage

4da0116931edc9af91f226876330645837dc9bcc

[ "Apache-2.0" ]

1

2018-08-07T16:40:18.000Z

""" Tests for :mod:`greenday_api.misc.distinct_channels_api <greenday_api.misc.distinct_channels_api>` """ from protorpc import message_types from .base import ApiTestCase from ..misc.distinct_channels_api import DistinctChannelsAPI class DistinctChannelsAPITests(ApiTestCase): """ Test case for ...

29.734694

102

0.660261

178

1,457

5.157303

0.331461

0.139434

0.108932

0.125272

0.328976

0.302832

0.220044

0

0.027828

0.235415

1,457

48

103

30.354167

0.79623

0.190803

0

0.027624

0

0.136364

1

0.090909

false

0

0.136364

0

0.318182

0

null

0

null

0

1

0

2c6349a307102d7f6afaff901e97fb40d85722ea

3,142

py

Python

pypipegraph/utils/log_listen.py

bopopescu/pypipegraph-2

3a3f9ba565789d8d73c8cd503703a957de2be9d8

[ "MIT" ]

4

2017-05-24T16:57:42.000Z

2017-09-21T19:55:27.000Z

pypipegraph/utils/log_listen.py

bopopescu/pypipegraph-2

3a3f9ba565789d8d73c8cd503703a957de2be9d8

[ "MIT" ]

2

2019-11-22T15:33:47.000Z

2020-07-27T11:59:44.000Z

pypipegraph/utils/log_listen.py

bopopescu/pypipegraph-2

3a3f9ba565789d8d73c8cd503703a957de2be9d8

[ "MIT" ]

4

2015-08-26T15:43:00.000Z

2020-07-20T03:36:40.000Z

""" The MIT License (MIT) Copyright (c) 2012, Florian Finkernagel <finkernagel@imt.uni-marburg.de> 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, including without limitatio...

33.425532

88

0.693507

414

3,142

5.256039

0.478261

0.040441

0.026195

0.011029

0.074449

0.061581

0

0.00528

0.216423

3,142

93

89

33.784946

0.878554

0.397518

0

0.098039

0

0.186405

0

1

0.098039

false

0

0.117647

0

0.294118

0.137255

0

null

0

null

0

1

0

2c68214d1193846a164314f13ae12a80f459ffd1

9,130

py

Python

ldapauthenticator/ldapauthenticator.py

jbmarcille/ldapauthenticator

f6037d72bd8c76317b8741d96de1c7b1dee26298

[ "BSD-3-Clause" ]

null

ldapauthenticator/ldapauthenticator.py

jbmarcille/ldapauthenticator

f6037d72bd8c76317b8741d96de1c7b1dee26298

[ "BSD-3-Clause" ]

null

ldapauthenticator/ldapauthenticator.py

jbmarcille/ldapauthenticator

f6037d72bd8c76317b8741d96de1c7b1dee26298

[ "BSD-3-Clause" ]

null

import ldap3 import re from jupyterhub.auth import Authenticator from tornado import gen from traitlets import Unicode, Int, Bool, List, Union class LDAPAuthenticator(Authenticator): server_address = Unicode( config=True, help=""" Address of the LDAP server to contact. Could be a...

37.572016

142

0.571742

1,064

9,130

4.843985

0.265977

0.017462

0.016298

0.015522

0.123399

0.094684

0.082266

0.063252

0.029492

0

0.003565

0.354874

9,130

242

143

37.727273

0.871477

0.053998

0

0.288557

0

0.014925

0.476119

0.039764

0

0.004132

0

1

0.014925

false

0.039801

0.024876

0

0.139303

0

null

0

null

0

1

0

2c6b0c96f51c49cf2ddaf1214e424470ce2b7534

23,329

py

Python

PyText3.py

Shock9616/PyText3

f16214060390ae8b457fc8dfbdb0943c7c34720b

[ "MIT" ]

null

PyText3.py

Shock9616/PyText3

f16214060390ae8b457fc8dfbdb0943c7c34720b

[ "MIT" ]

null

PyText3.py

Shock9616/PyText3

f16214060390ae8b457fc8dfbdb0943c7c34720b

[ "MIT" ]

1

2021-11-06T13:45:11.000Z

#!/usr/bin/env python3 """ The main file for a basic code editor written entirely with the python standard library main.py PyText3 Text Editor Created by Kaleb Rosborough on 10/23/2018 Copyright © Shock9616 2018 All rights reserved """ #region Imports from tkinter import * import tkinter as tk from ...

37.207337

114

0.582365

2,506

23,329

5.378292

0.180367

0.054014

0.031162

0.027304

0.481451

0.433076

0.387298

0.374833

0.290473

0.225479

0

0.011048

0.251147

23,329

626

115

37.266773

0.760332

0.071885

0

0.311301

0

0.158422

0.002273

0

1

0.053305

false

0.002132

0.021322

0

0.089552

0.004264

0

null

0

null

0

1

0

2c6b575ef99f368943f9457f0e564df734ee7fbc

569

py

Python

array/0075_sort_colors/0075_sort_colors.py

zdyxry/LeetCode

33371285d0f3302158230f46e8b1b63b9f4639c4

[ "Xnet", "X11" ]

6

2019-09-16T01:50:44.000Z

2020-09-17T08:52:25.000Z

array/0075_sort_colors/0075_sort_colors.py

zdyxry/LeetCode

33371285d0f3302158230f46e8b1b63b9f4639c4

[ "Xnet", "X11" ]

null

array/0075_sort_colors/0075_sort_colors.py

zdyxry/LeetCode

33371285d0f3302158230f46e8b1b63b9f4639c4

[ "Xnet", "X11" ]

4

2020-02-07T12:43:16.000Z

2021-04-11T06:38:55.000Z

class Solution(object): def sortColors(self, nums): def triPartition(nums, target): i,j,n = 0, 0,len(nums) -1 while j <= n: if nums[j] < target: nums[i], nums[j] = nums[j], nums[i] i += 1 j += 1 ...

27.095238

55

0.391916

70

569

3.185714

0.3

0.134529

0.121076

0.134529

0

0.046358

0.469244

569

21

56

27.095238

0.692053

0

0.111111

0

1

0.111111

false

0

0.166667

0.055556

0

null

0

null

0

1

0

2c6b6b00c0e5fe6ce8b9350c4a38df05692a0c5c

2,545

py

Python

transforms/h52h5.py

srujanm/ibex

ed8167b8b1573830bee39c469db7733fdfcb41d1

[ "MIT" ]

3

2018-08-10T21:11:09.000Z

2019-07-26T13:47:24.000Z

transforms/h52h5.py

srujanm/ibex

ed8167b8b1573830bee39c469db7733fdfcb41d1

[ "MIT" ]

null

transforms/h52h5.py

srujanm/ibex

ed8167b8b1573830bee39c469db7733fdfcb41d1

[ "MIT" ]

6

2018-03-05T20:14:11.000Z

2020-07-23T18:39:16.000Z

# general functions for transforming h5 files from ibex.utilities.constants import * from numba import jit import numpy as np import math # downsample the data by (z, y, x) ratio @jit(nopython=True) def DownsampleData(data, ratio=(1, 2, 2)): # get the size of the current dataset (zres, yres, xres) = data.shap...

31.036585

118

0.604715

362

2,545

4.171271

0.28453

0.027815

0.021192

0.02649

0.25894

0.14106

0.109272

0

0.009896

0.285265

2,545

82

119

31.036585

0.820231

0.178782

0

0.061224

0

0.020408

1

0.061224

false

0

0.081633

0

0.204082

0

null

0

null

0

1

0

2c6ed73d803fe3c8ab6eab6f07fcada596456cd6

7,933

py

Python

src/lingcomp/farm/prediction_head.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

2

2020-12-18T12:26:22.000Z

2020-12-19T18:47:07.000Z

src/lingcomp/farm/prediction_head.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

null

src/lingcomp/farm/prediction_head.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

1

2021-05-19T13:39:45.000Z

import logging import os import torch from farm.modeling.prediction_head import FeedForwardBlock, PredictionHead from torch.nn import MSELoss from torch.nn.functional import pad from lingcomp.farm.utils import roll logger = logging.getLogger(__name__) # TokenRegressionHead class TokenRegressionHead(PredictionHead...

46.391813

154

0.607715

1,019

7,933

4.525025

0.232581

0.047712

0.022555

0.03188

0.235741

0.200174

0.163522

0.147257

0.115159

0.096075

0

0.010009

0.294718

7,933

170

155

46.664706

0.81412

0.212656

0

0.107438

0

0.008264

0.076092

0.010473

0

0.008264

1

0.066116

false

0

0.057851

0

0.190083

0

null

0

null

0

1

0

2c7013fe7de804ea6c1f8cce79d5e2ec488e9041

381

py

Python

6.00.2x/week1/lecture1/more_on_plotting.py

NicholasAsimov/courses

d60981f25816445578eb9e89bbbeef2d38eaf014

[ "MIT" ]

null

6.00.2x/week1/lecture1/more_on_plotting.py

NicholasAsimov/courses

d60981f25816445578eb9e89bbbeef2d38eaf014

[ "MIT" ]

null

6.00.2x/week1/lecture1/more_on_plotting.py

NicholasAsimov/courses

d60981f25816445578eb9e89bbbeef2d38eaf014

[ "MIT" ]

null

import matplotlib.pyplot as pylab principal = 10000 interestRate = 0.05 years = 20 values = [] for i in range(years + 1): values.append(principal) principal += principal * interestRate pylab.plot(range(years + 1), values, linewidth=3) pylab.title('5% Growth, Compaunded Annually') pylab.xlabel('Years or Compo...

22.411765

49

0.721785

51

381

5.392157

0.666667

0.072727

0.08

0.123636

0

0.043077

0.146982

381

16

50

23.8125

0.803077

0

0.188976

0

1

0

false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

2c7496e73af3dc1a12f6aa6a4517eb8851e79e00

972

py

Python

activitypub/lib.py

wakin-/simple_ap

f13013fdc79207cfb07f3944caeeef45fe31bbf7

[ "MIT" ]

10

2018-06-18T09:17:59.000Z

2020-04-22T11:46:12.000Z

activitypub/lib.py

wakin-/simple_ap

f13013fdc79207cfb07f3944caeeef45fe31bbf7

[ "MIT" ]

4

2020-06-05T18:24:12.000Z

2021-06-10T20:29:49.000Z

activitypub/lib.py

wakin-/simple_ap

f13013fdc79207cfb07f3944caeeef45fe31bbf7

[ "MIT" ]

null

import requests import json from urllib.parse import urlparse from httpsig import HeaderSigner from datetime import datetime def sign_headers(account, method, path): sign = HeaderSigner(account.ap_id(), account.private_key, algorithm='rsa-sha256', headers=['(request-target)', 'date']).sign({'Date': datetime.now()....

38.88

192

0.68107

119

972

5.495798

0.521008

0.033639

0.055046

0

0.012422

0.171811

972

24

193

40.5

0.8

0

0.167695

0

1

0.090909

false

0

0.227273

0

0.363636

0

null

0

null

0

1

0

2c74d6e02e3c3e03fa94c6d04730c15d838799a4

4,230

py

Python

account/views.py

josephdubon/boilerplate_image_share_app

e079715577ca112e4de234c8a35dde73639c3366

[ "Unlicense" ]

null

account/views.py

josephdubon/boilerplate_image_share_app

e079715577ca112e4de234c8a35dde73639c3366

[ "Unlicense" ]

3

2021-09-22T18:45:21.000Z

2022-03-12T00:58:12.000Z

account/views.py

josephdubon/boilerplate_image_share_app

e079715577ca112e4de234c8a35dde73639c3366

[ "Unlicense" ]

null

from django.http import HttpResponse from django.shortcuts import render from django.contrib import messages from django.contrib.auth import authenticate, login from django.contrib.auth.decorators import login_required from .forms import ( LoginForm, UserRegistrationForm, UserEditForm, ProfileEditForm ...

35.25

105

0.56052

438

4,230

5.321918

0.280822

0.044616

0.028314

0.05577

0.192192

0.103818

0.073788

0

0.367139

4,230

119

106

35.546218

0.870751

0.215839

0

0.229885

0

0.093475

0.020941

0

1

0.045977

false

0.034483

0.08046

0.011494

0.218391

0

null

0

null

0

1

0

2c7775424a57f17a890bdf4b7a7ff0cf9abb892f

932

py

Python

admin_tasks.py

draem0507/rietveld

70bda77edf3a642ef51ecc2d73c165345af5fdee

[ "Apache-2.0" ]

583

2015-03-28T23:49:34.000Z

2022-03-25T10:58:07.000Z

admin_tasks.py

draem0507/rietveld

70bda77edf3a642ef51ecc2d73c165345af5fdee

[ "Apache-2.0" ]

61

2015-04-02T01:08:34.000Z

2021-05-27T16:19:35.000Z

admin_tasks.py

draem0507/rietveld

70bda77edf3a642ef51ecc2d73c165345af5fdee

[ "Apache-2.0" ]

175

2015-03-29T13:06:36.000Z

2022-03-31T07:02:20.000Z

"""Collection of mapreduce jobs.""" import logging from mapreduce import operation as op from codereview.models import Account, Issue def delete_unused_accounts(account): """Delete accounts for uses that don't participate in any reviews.""" email = account.user.email() if Issue.query(Issue.owner_email == email...

31.066667

78

0.730687

140

932

4.821429

0.585714

0.031111

0.053333

0.075556

0.091852

0

0.167382

932

29

79

32.137931

0.869845

0.407725

0

0.1875

0

0.020599

0

1

0.125

false

0

0.1875

0

0.5

0

null

0

null

0

1

0

2c778b23ac35cdce2fabe050d19757ad54f60c5c

3,426

py

Python

core/pwc_tiny.py

hologerry/RAFT

a80209c442ea2e2a8860af3c9ca96e62498533ca

[ "BSD-3-Clause" ]

null

core/pwc_tiny.py

hologerry/RAFT

a80209c442ea2e2a8860af3c9ca96e62498533ca

[ "BSD-3-Clause" ]

null

core/pwc_tiny.py

hologerry/RAFT

a80209c442ea2e2a8860af3c9ca96e62498533ca

[ "BSD-3-Clause" ]

null

import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from core.corr import AlternateCorrBlock, CorrBlock from core.extractor import BasicEncoder, SmallEncoder from core.mobilenetv3 import MobileNetV3 from core.pwc_decoder import Decoder from core.pwc_refiner import Refiner from core.up...

34.606061

125

0.646235

447

3,426

4.744966

0.364653

0.062235

0.049505

0.04149

0.073079

0.052334

0

0.041272

0.22913

3,426

98

126

34.959184

0.761833

0.042323

0

0.041096

0

0.08318

0

1

0.09589

false

0.041096

0.178082

0.013699

0.342466

0.041096

0

null

0

null

0

1

0

2c784ec9ca5bd9cab47e3e48eed02b1261eb6710

1,631

py

Python

dependencies_analysis/src/utils.py

afdaniele/director

845ba027f9009803fcf77f44874f2ab9d7ab72e3

[ "BSD-3-Clause" ]

null

dependencies_analysis/src/utils.py

afdaniele/director

845ba027f9009803fcf77f44874f2ab9d7ab72e3

[ "BSD-3-Clause" ]

null

dependencies_analysis/src/utils.py

afdaniele/director

845ba027f9009803fcf77f44874f2ab9d7ab72e3

[ "BSD-3-Clause" ]

null

''' Created by: @author: Andrea F Daniele - TTIC - Toyota Technological Institute at Chicago Feb 6, 2019 - Mountain View, CA ''' import sys import numpy as np from os.path import isfile class ProgressBar(object): def __init__(self, maxVal=100, precision=5, doneMessage=True ): self.maxVal = float( max(1.0, ma...

28.614035

92

0.650521

221

1,631

4.710407

0.402715

0.080692

0.037464

0.032661

0

0.027259

0.212753

1,631

56

93

29.125

0.783489

0.095647

0

0.039617

0

1

0.135135

false

0

0.081081

0

0.297297

0.027027

0

null

0

null

0

1

0

2c78b387f4bdb0a5aec5ed308c83c4da0844e7b4

1,673

py

Python

attendees/persons/serializers/folk_serializer.py

xjlin0/-attendees30

48a2f2cbec11ec471d7a40d24903b48890feebf9

[ "MIT" ]

null

attendees/persons/serializers/folk_serializer.py

xjlin0/-attendees30

48a2f2cbec11ec471d7a40d24903b48890feebf9

[ "MIT" ]

null

attendees/persons/serializers/folk_serializer.py

xjlin0/-attendees30

48a2f2cbec11ec471d7a40d24903b48890feebf9

[ "MIT" ]

null

from attendees.persons.models import Folk, FolkAttendee, Relation, Utility, Attendee from attendees.whereabouts.serializers import PlaceSerializer from rest_framework import serializers class FolkSerializer(serializers.ModelSerializer): places = PlaceSerializer(many=True, read_only=True) class Meta: ...

30.418182

85

0.569038

160

1,673

5.7625

0.39375

0.084599

0.048807

0.06833

0.149675

0.073753

0

0.344889

1,673

54

86

30.981481

0.841241

0.081291

0

0.055556

0

0.036266

0

1

0.055556

false

0

0.083333

0

0.277778

0

null

0

null

0

1

0

2c7a53fa7046ae0ca4fe288507356e009d06bfd4

6,826

py

Python

V4 - HybridTTS/Utils/functions.py

riju-stone/chatbot

cfbd1a162f777440b138e2824d07f70cca8c4a48

[ "MIT" ]

null

V4 - HybridTTS/Utils/functions.py

riju-stone/chatbot

cfbd1a162f777440b138e2824d07f70cca8c4a48

[ "MIT" ]

1

2021-10-06T15:56:14.000Z

2021-10-07T04:54:15.000Z

V4 - HybridTTS/Utils/functions.py

riju-stone/chatbot

cfbd1a162f777440b138e2824d07f70cca8c4a48

[ "MIT" ]

null

import string import random from nltk.tokenize import TweetTokenizer import re import time import sys import numpy as np # source: https://gist.github.com/nealrs/96342d8231b75cf4bb82 cList = { "ain't": "am not", "aren't": "are not", "can't": "cannot", "can't've": "cannot have", "'cause": "because",...

28.206612

200

0.547612

1,005

6,826

3.654726

0.228856

0.008984

0.013613

0.019058

0.068064

0.032126

0

0.017456

0.236302

6,826

241

201

28.323651

0.687128

0.08409

0

0.049505

0

0.347534

0.004965

0

1

0.044554

false

0

0.034653

0.009901

0.128713

0.004951

0

null

0

null

0

1

0

2c7b3b7be42370503ba918b7f804028312f44fe9

896

py

Python

reverse_integer.py

alexhla/programming-problems-in-python

2db759f6196c026f43c6f2d6c9104d04a6850829

[ "MIT" ]

null

reverse_integer.py

alexhla/programming-problems-in-python

2db759f6196c026f43c6f2d6c9104d04a6850829

[ "MIT" ]

null

reverse_integer.py

alexhla/programming-problems-in-python

2db759f6196c026f43c6f2d6c9104d04a6850829

[ "MIT" ]

null

class Solution: def reverse(self, x): sign = -1 if x<0 else 1 x = abs(x) # floor division ALWAYS rounds down (-1//10 = -1) n = 0 # thus save sign and take absolute value while x != 0: n *= 10 # left shift digits one place n += x%10 # push least significant digit x //= 10 # pop processed digit ...

28.903226

81

0.626116

153

896

3.666667

0.431373

0.035651

0.02139

0.035651

0.210339

0.185383

0.067736

0

0.065407

0.232143

896

31

82

28.903226

0.75

0.382813

0

0.230769

0

0.066298

0

1

0.076923

false

0

0.269231

0.115385

0

null

0

null

0

1

0

2c827b375cd33ffc35313851f36e3892e6b7ddad

17,537

py

Python

revisiting_rainbow/Agents/quantile_agent_new.py

jiawei415/revisiting_rainbow

7cd2bc6f64d08ebc2233d93210063cc64d2598a7

[ "Apache-2.0" ]

72

2020-11-24T22:12:59.000Z

2022-03-21T21:18:21.000Z

revisiting_rainbow/Agents/quantile_agent_new.py

jiawei415/revisiting_rainbow

7cd2bc6f64d08ebc2233d93210063cc64d2598a7

[ "Apache-2.0" ]

2

2021-06-02T08:01:10.000Z

2021-07-03T03:11:54.000Z

revisiting_rainbow/Agents/quantile_agent_new.py

jiawei415/revisiting_rainbow

7cd2bc6f64d08ebc2233d93210063cc64d2598a7

[ "Apache-2.0" ]

6

2021-01-13T22:15:17.000Z

2021-11-04T04:00:05.000Z

"""An extension of Rainbow to perform quantile regression. This loss is computed as in "Distributional Reinforcement Learning with Quantile Regression" - Dabney et. al, 2017" Specifically, we implement the following components: * n-step updates * prioritized replay * double_dqn * noisy * dueling """ impor...

43.301235

117

0.642584

2,144

17,537

5.046642

0.210354

0.016636

0.013309

0.012754

0.287246

0.26146

0.241867

0.216821

0.200555

0.190573

0

0.011204

0.282374

17,537

405

118

43.301235

0.84855

0.32383

0

0.227848

0

0.016672

0.00191

0

1

0.063291

false

0

0.046414

0.012658

0.160338

0

null

0

null

0

1

0

2c846fbf1fb31138dd5ef08bbb8178074cf8b762

4,395

py

Python

utils/visualize_utils.py

ljrprocc/Motif-Removal

8979ca91398212248a2be61345c99bdec53ae37e

[ "MIT" ]

null

utils/visualize_utils.py

ljrprocc/Motif-Removal

8979ca91398212248a2be61345c99bdec53ae37e

[ "MIT" ]

null

utils/visualize_utils.py

ljrprocc/Motif-Removal

8979ca91398212248a2be61345c99bdec53ae37e

[ "MIT" ]

null

import torch import os.path from utils.train_utils import load_globals, init_folders, init_nets from loaders.motif_dataset import MotifDS from PIL import Image import numpy as np # network names root_path = '..' train_tag = 'vm_demo_text_remover' load_tag = '' device = torch.device('cuda:0') net_path =...

40.321101

111

0.61661

581

4,395

4.371773

0.2358

0.066929

0.018898

0.015354

0.059843

0.029921

0

0.020516

0.268032

4,395

108

112

40.694444

0.769039

0.005688

0

0.065217

0

0.044142

0

1

0.054348

false

0

0.065217

0

0.152174

0.01087

0

null

0

null

0

1

0

2c8726dfb28106d95bb06c1763a01f4331da1d8a

651

py

Python

python/Data Structures and Algorithms in Python Book/stacks/match_delimiter.py

gauravssnl/Data-Structures-and-Algorithms

1c335c72ce514d4f95090241bbd6edf01a1141a8

[ "MIT" ]

7

2020-05-10T09:57:23.000Z

2021-03-27T11:55:07.000Z

python/Data Structures and Algorithms in Python Book/stacks/match_delimiter.py

gauravssnl/Data-Structures-and-Algorithms

1c335c72ce514d4f95090241bbd6edf01a1141a8

[ "MIT" ]

null

python/Data Structures and Algorithms in Python Book/stacks/match_delimiter.py

gauravssnl/Data-Structures-and-Algorithms

1c335c72ce514d4f95090241bbd6edf01a1141a8

[ "MIT" ]

3

2021-03-27T03:42:57.000Z

2021-08-09T12:03:41.000Z

from arraystack import ArrayStack def is_matched(expr): """Return True if all delimiters properly match (or closed); False otherwise""" left_delimiters = "({[" right_delimiter = ")}]" S = ArrayStack() for c in expr: if c in left_delimiters: S.push(c) elif c in right_del...

28.304348

84

0.572965

85

651

4.164706

0.435294

0.076271

0.110169

0.039548

0.146893

0

0.004338

0.291859

651

23

85

28.304348

0.763557

0.113671

0

0.210526

0

0.068182

0

1

0.052632

false

0

0.052632

0

0.263158

0.105263

0

null

0

null

0

1

0

2c889835bd8ac35d8cbc3f5d416195de17ced7a8

24,522

py

Python

cogs/werewolf.py

vluk/baymaxBot

fb7e7dd4b2d99a6987a8e8c09afc7e43af844ffc

[ "MIT" ]

null

cogs/werewolf.py

vluk/baymaxBot

fb7e7dd4b2d99a6987a8e8c09afc7e43af844ffc

[ "MIT" ]

4

2021-04-24T06:38:49.000Z

2021-04-24T06:44:21.000Z

cogs/werewolf.py

vluk/baymaxBot

fb7e7dd4b2d99a6987a8e8c09afc7e43af844ffc

[ "MIT" ]

1

2021-05-02T08:04:08.000Z

import discord from discord.ext import commands import random import asyncio cards = ["villager", "werewolf", "minion", "mason", "seer", "robber", "troublemaker", "drunk", "insomniac", "tanner", "hunter"] aesthetics = { "werewolf" : { "color" : 0x25d0ff, "thumbnail" : "https://cdn.discordapp.com/a...

38.496075

157

0.540046

3,006

24,522

4.346973

0.119095

0.032831

0.034285

0.016071

0.594398

0.560496

0.522461

0.498584

0.488329

0.44356

0

0.007294

0.345853

24,522

636

158

38.556604

0.805436

0

0.486

0

0.006

0.160958

0.000938

0

0.000652

0

1

0.032

false

0.004

0.008

0.01

0.128

0

null

0

null

0

1

0

2c8b5792d3174dff39013842e2317ce417ed4a8a

650

py

Python

main.py

KShah707/TweetDownloader

ff6770e2f86273919c279466337a4e5ab2cd63e0

[ "MIT" ]

null

main.py

KShah707/TweetDownloader

ff6770e2f86273919c279466337a4e5ab2cd63e0

[ "MIT" ]

null

main.py

KShah707/TweetDownloader

ff6770e2f86273919c279466337a4e5ab2cd63e0

[ "MIT" ]

null

################################################### # Uses the tweepy client to query a user's tweets # ################################################### import csv import tweepy # Load secrets from separate file from user_secrets import * # Set up API client auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRE...

30.952381

89

0.641538

83

650

4.843373

0.566265

0.08209

0.084577

0.109453

0

0.124615

650

21

90

30.952381

0.706503

0.176923

0

0.070093

0.049065

0

1

0

false

0

0.272727

0

0.272727

0.090909

0

null

0

null

0

1

0

2c8c64b7f637476a4c3e62cdc4f47747851211f2

1,664

py

Python

anime_downloader/sites/nyaa.py

Alsira/anime-downloader

d82b4cfd5c7c6c358d0d8ffd36ce2d5c4a285595

[ "Unlicense" ]

1,077

2020-10-17T15:43:17.000Z

2022-03-31T15:24:29.000Z

anime_downloader/sites/nyaa.py

Alsira/anime-downloader

d82b4cfd5c7c6c358d0d8ffd36ce2d5c4a285595

[ "Unlicense" ]

509

2018-06-01T13:07:56.000Z

2020-10-17T13:34:39.000Z

anime_downloader/sites/nyaa.py

Alsira/anime-downloader

d82b4cfd5c7c6c358d0d8ffd36ce2d5c4a285595

[ "Unlicense" ]

255

2018-05-27T03:52:11.000Z

2020-10-12T17:27:38.000Z

from anime_downloader.sites.anime import Anime, AnimeEpisode, SearchResult from anime_downloader.sites import helpers class Nyaa(Anime, sitename='nyaa'): """ Site: https://nyaa.si Config ~~~~~~ filter: Choose filter method in search. One of ['No filter', 'No remakes', 'Trusted Only'] category...

35.404255

145

0.612981

206

1,664

4.859223

0.42233

0.067932

0.037962

0.047952

0.04995

0

0.009224

0.218149

1,664

46

146

36.173913

0.760184

0.176683

0

0.216741

0.016442

0

1

0.12

false

0

0.08

0.48

0

null

0

null

0

1

0

2c8f674fb4bb528a31df28c9e6f31e31a0334ee4

810

py

Python

src/hgg_coffea/tools/xgb_loader.py

holzman/hgg-coffea

5aabdb127edaa15b0f22d54f0e3ccdc74c5c10de

[ "BSD-3-Clause" ]

3

2021-07-22T07:02:03.000Z

2021-09-22T07:01:59.000Z

src/hgg_coffea/tools/xgb_loader.py

holzman/hgg-coffea

5aabdb127edaa15b0f22d54f0e3ccdc74c5c10de

[ "BSD-3-Clause" ]

2

2021-08-16T16:08:09.000Z

2021-11-12T00:41:50.000Z

src/hgg_coffea/tools/xgb_loader.py

holzman/hgg-coffea

5aabdb127edaa15b0f22d54f0e3ccdc74c5c10de

[ "BSD-3-Clause" ]

8

2021-07-22T07:49:19.000Z

2022-01-26T22:58:03.000Z

import gzip import lzma import warnings from typing import Optional import xgboost def _get_gzip(fname: str) -> bytearray: return bytearray(gzip.open(fname, "rb").read()) def _get_lzma(fname: str) -> bytearray: return bytearray(lzma.open(fname, "rb").read()) _magics = { b"\x1f\x8b": _get_gzip, b"...

21.891892

54

0.632099

106

810

4.716981

0.415094

0.048

0.066

0.092

0.128

0

0.006547

0.245679

810

36

55

22.5

0.811784

0

0.074074

0

0.023457

0

1

0.111111

false

0

0.185185

0.074074

0.407407

0

null

0

null

0

1

0

2c8faf8eecad5b6ac0b19aefead4deb655a3a6fb

16,629

py

Python

latent_rationale/snli/util.py

bastings/interpretable_neural_predictions

fef61833bd22205dc2d4f77e2c0ed3f40cbe8ea6

[ "MIT" ]

100

2019-05-21T21:26:19.000Z

2022-03-27T18:22:27.000Z

latent_rationale/snli/util.py

bastings/interpretable_neural_predictions

fef61833bd22205dc2d4f77e2c0ed3f40cbe8ea6

[ "MIT" ]

6

2019-07-30T03:08:44.000Z

2021-05-07T16:49:55.000Z

latent_rationale/snli/util.py

bastings/interpretable_neural_predictions

fef61833bd22205dc2d4f77e2c0ed3f40cbe8ea6

[ "MIT" ]

20

2019-06-19T18:36:41.000Z

2022-01-08T12:59:39.000Z

import os from argparse import ArgumentParser import torch from hashlib import md5 import numpy as np import glob import re from torch.nn import functional as F from latent_rationale.snli.constants import UNK_TOKEN, PAD_TOKEN, INIT_TOKEN from latent_rationale.snli.plotting import plot_heatmap from latent_rationale.snl...

35.76129

81

0.561609

1,993

16,629

4.484195

0.193176

0.035247

0.066577

0.010966

0.335124

0.295177

0.268435

0.245944

0.219537

0.189549

0

0.017206

0.31848

16,629

464

82

35.838362

0.771376

0.078958

0

0.282051

0

0.098718

0.011828

0

0.003205

1

0.064103

false

0.012821

0.038462

0.003205

0.160256

0.092949

0

null

0

null

0

1

0

2c9220dbfde66eef7cdc24410685f09d9949bf06

5,357

py

Python

lc_functions.py

mrawls/kepler-makelc

72a929b04d1c71bb5e854b96a9901544f681ed86

[ "MIT" ]

1

2018-09-10T01:35:08.000Z

lc_functions.py

mrawls/kepler-makelc

72a929b04d1c71bb5e854b96a9901544f681ed86

[ "MIT" ]

null

lc_functions.py

mrawls/kepler-makelc

72a929b04d1c71bb5e854b96a9901544f681ed86

[ "MIT" ]

null

import numpy as np from pyraf import iraf from pyraf.iraf import kepler ''' Useful functions for Kepler light curve processing Use this with the program 'makelc.py' Originally by Jean McKeever Edited and improved by Meredith Rawls ''' # calculate orbital phase # times must be a list of observation times in the same un...

36.691781

82

0.682472

872

5,357

4.174312

0.302752

0.016484

0.015385

0.018132

0.406868

0.382143

0.343956

0.302747

0.273077

0

0.02268

0.193392

5,357

146

83

36.691781

0.819718

0.445399

0

0.252874

0

0.008718

0

1

0.068966

false

0

0.034483

0

0.172414

0

null

0

null

0

1

0

2c93c3807680923e216b02227b5a6105e6428b73

17,649

py

Python

src/beacon_api/utils/polyvalent_functions.py

jrambla/beacon-2.x

f6c8bbecd183471d62c01e040d6e0b3c9ef8f448

[ "Apache-2.0" ]

null

src/beacon_api/utils/polyvalent_functions.py

jrambla/beacon-2.x

f6c8bbecd183471d62c01e040d6e0b3c9ef8f448

[ "Apache-2.0" ]

null

src/beacon_api/utils/polyvalent_functions.py

jrambla/beacon-2.x

f6c8bbecd183471d62c01e040d6e0b3c9ef8f448

[ "Apache-2.0" ]

null

""" Functions used by different endopoints. - To do basic operations - To parse the filters request - To manage access resolution """ import ast import logging import yaml import requests from pathlib import Path from ..api.exceptions import BeaconBadRequest, BeaconServerError, BeaconForbidden, BeaconUnauthorised...

49.025

209

0.570854

1,914

17,649

5.120167

0.202194

0.022041

0.02449

0.015714

0.271531

0.215

0.196939

0.190408

0.161633

0.144286

0

0.003547

0.265227

17,649

359

210

49.16156

0.752159

0.27622

0

0.195455

0

0.013636

0.172437

0.012764

0

1

0.036364

false

0

0.036364

0

0.145455

0

null

0

null

0

1

0

2c94bd3786b5a0a64f466b5fdfd28ee49d03d138

990

py

Python

02_Double/double_aws-samples_1_v1.py

Machine-Learning-Labs/DeepRacerRewardFunctionsCollection

f6addf4654de90f9d1669fd5de67331add93ab2f

[ "MIT" ]

17

2020-01-14T06:25:10.000Z

2022-01-25T18:02:37.000Z

02_Double/double_aws-samples_1_v1.py

Machine-Learning-Labs/DeepRacerRewardFunctionsCollection

f6addf4654de90f9d1669fd5de67331add93ab2f

[ "MIT" ]

null

02_Double/double_aws-samples_1_v1.py

Machine-Learning-Labs/DeepRacerRewardFunctionsCollection

f6addf4654de90f9d1669fd5de67331add93ab2f

[ "MIT" ]

5

2020-05-30T18:49:18.000Z

2021-09-03T19:38:39.000Z

''' @author: AWS Samples @Link: https://docs.aws.amazon.com/deepracer/latest/developerguide/what-is-deepracer.html @License: Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved. ''' def reward_function(params): ''' Example of rewarding the agent to follow the track center line ...

30.9375

93

0.680808

142

990

4.591549

0.528169

0.076687

0.138037

0.110429

0.08589

0

0.033025

0.235354

990

31

94

31.935484

0.828269

0.458586

0

0.062249

0

1

0.066667

false

0

0.133333

0

null

0

null

0

1

0

2c95e40e7220fe3c7db4c0c8a471b2078f613932

14,498

py

Python

parsons/github/github.py

cmc333333/parsons

50804a3627117797570f1e9233c9bbad583f7831

[ "Apache-2.0" ]

3

2019-09-05T16:57:15.000Z

2019-10-01T19:56:58.000Z

parsons/github/github.py

cmc333333/parsons

50804a3627117797570f1e9233c9bbad583f7831

[ "Apache-2.0" ]

22

2019-09-03T13:23:37.000Z

2019-10-03T20:32:48.000Z

parsons/github/github.py

cmc333333/parsons

50804a3627117797570f1e9233c9bbad583f7831

[ "Apache-2.0" ]

2

2019-09-01T18:30:10.000Z

2019-10-03T20:07:46.000Z

import logging from functools import partial, wraps import petl import requests from github import Github as PyGithub from github.GithubException import UnknownObjectException from parsons.etl.table import Table from parsons.utilities import check_env, files logger = logging.getLogger(__name__) def _wrap_method(de...

34.193396

100

0.588702

1,707

14,498

4.864675

0.154657

0.036609

0.017221

0.014451

0.373675

0.349711

0.317558

0.291426

0.251204

0.195448

0

0.005792

0.333149

14,498

423

101

34.274232

0.853124

0.433715

0

0.101449

0

0.117053

0.003714

0

1

0.144928

false

0.036232

0.057971

0

0.347826

0

null

0

null

0

1

0

2c9cfa04dec4051e0276862ca37caf6daae18af1

3,716

py

Python

thirdparty/gd2c/gd2c/loader.py

ppiecuch/godot

ff2098b324b814a0d1bd9d5722aa871fc5214fab

[ "MIT", "Apache-2.0", "CC-BY-4.0", "Unlicense" ]

null

thirdparty/gd2c/gd2c/loader.py

ppiecuch/godot

ff2098b324b814a0d1bd9d5722aa871fc5214fab

[ "MIT", "Apache-2.0", "CC-BY-4.0", "Unlicense" ]

null

thirdparty/gd2c/gd2c/loader.py

ppiecuch/godot

ff2098b324b814a0d1bd9d5722aa871fc5214fab

[ "MIT", "Apache-2.0", "CC-BY-4.0", "Unlicense" ]

null

from __future__ import annotations from pathlib import Path from gd2c.gdscriptclass import GDScriptClass, GDScriptClassConstant, GDScriptFunctionConstant, GDScriptFunction, GDScriptGlobal, GDScriptMember, GDScriptFunctionParameter from gd2c.variant import VariantType from gd2c.bytecode import extract from typing import...

43.209302

170

0.626749

417

3,716

5.390887

0.314149

0.032028

0.017349

0.020018

0.129004

0.076512

0.023132

0

0.002901

0.257804

3,716

85

171

43.717647

0.812183

0.012917

0

0.07665

0

1

0.057971

false

0

0.115942

0

0.231884

0

null

0

null

0

1

0

2c9e2ce825149494c4555d540152aae13598ea62

1,301

py

Python

deepppl/tests/target_py/kmeans.py

sfantao/deepppl

3091c342814744d622eda6f7a185085d420a152b

[ "Apache-2.0" ]

18

2018-06-07T17:41:30.000Z

2021-03-19T23:31:14.000Z

deepppl/tests/target_py/kmeans.py

sfantao/deepppl

3091c342814744d622eda6f7a185085d420a152b

[ "Apache-2.0" ]

19

2018-06-11T17:42:03.000Z

2020-10-13T17:19:11.000Z

deepppl/tests/target_py/kmeans.py

sfantao/deepppl

3091c342814744d622eda6f7a185085d420a152b

[ "Apache-2.0" ]

7

2018-06-08T20:50:24.000Z

2020-10-12T22:00:09.000Z

import torch from torch import tensor, rand import pyro import torch.distributions.constraints as constraints import pyro.distributions as dist def transformed_data(D=None, K=None, N=None, y=None): neg_log_K = -log(K) return {'neg_log_K': neg_log_K} def model(D=None, K=None, N=None, y=None, transformed_data...

34.236842

75

0.571868

225

1,301

3.115556

0.213333

0.057061

0.089872

0.042796

0.479315

0.459344

0.430813

0.410842

0

0.033368

0.262875

1,301

38

76

34.236842

0.697602

0

0.4375

0

0.043779

0

1

0.09375

false

0

0.15625

0

0.3125

0

null

0

null

0

1

0

2c9ffef9867b37cc6ff8be2016f65cefeb7bd057

5,885

py

Python

Siberia/plug/plugin_adminka.py

spouk/Siberia

0b7dfe2271b285eb038a09ef954ed8c605cbd2d2

[ "MIT" ]

null

Siberia/plug/plugin_adminka.py

spouk/Siberia

0b7dfe2271b285eb038a09ef954ed8c605cbd2d2

[ "MIT" ]

null

Siberia/plug/plugin_adminka.py

spouk/Siberia

0b7dfe2271b285eb038a09ef954ed8c605cbd2d2

[ "MIT" ]

null

#!/usr/local/bin/python __author__ = 'spouk' __all__ = ('AdminkaPlugin',) __version__ = 0.1 __name__ = 'AdminkaPLugin for Siberia' __middleware__ = True #--------------------------------------------------------------------------- # global imports #----------------------------------------------------------------------...

38.464052

121

0.584367

616

5,885

5.48539

0.310065

0.045576

0.020716

0.029595

0.149453

0.11749

0.07813

0

0.003935

0.26593

5,885

152

122

38.717105

0.778241

0.202209

0

0.061224

0

0.137887

0

0.030612

1

0.091837

false

0

0.071429

0

0.27551

0.061224

0

null

0

null

0

1

0

2ca1f66514af862a2395c2a72cc563dfe7628eb9

2,576

py

Python

services/jobs/tests/api/base.py

Open-EO/openeo-openshift-driver

822dbd3ccee25180cc48efd2f891504b6b5edc14

[ "Apache-2.0" ]

6

2018-10-02T15:04:11.000Z

2019-12-13T11:36:49.000Z

services/jobs/tests/api/base.py

Open-EO/openeo-openshift-driver

822dbd3ccee25180cc48efd2f891504b6b5edc14

[ "Apache-2.0" ]

54

2019-01-09T17:14:29.000Z

2020-10-02T11:39:38.000Z

services/jobs/tests/api/base.py

Open-EO/openeo-openshift-driver

822dbd3ccee25180cc48efd2f891504b6b5edc14

[ "Apache-2.0" ]

6

2018-07-03T15:58:05.000Z

2019-07-03T07:20:46.000Z

"""Provide base test class.""" from typing import Any, Callable from nameko_sqlalchemy.database_session import Session from jobs.dependencies.dag_handler import DagHandler from jobs.service import JobService from .exceptions import get_missing_resource_service_exception, get_not_authorized_service_exception from ..ut...

42.933333

102

0.689829

339

2,576

4.99705

0.268437

0.035419

0.024793

0.023613

0.50059

0.42621

0.40732

0.361275

0.319953

0

0.229037

2,576

59

103

43.661017

0.852971

0.257764

0

0.125

0

0.046009

0

0.0625

1

0.09375

false

0

0.1875

0

0.375

0

null

0

null

0

1

0

2ca3388b5b4f8f447dfd365008e2dd96e0c723ba

1,919

py

Python

egi/models.py

gtaylor/evennia-game-directory

f7a4d0731503de540026dc0fe6409a7c24ad676e

[ "BSD-3-Clause" ]

1

2019-02-06T10:58:11.000Z

egi/models.py

gtaylor/evennia-game-index

f7a4d0731503de540026dc0fe6409a7c24ad676e

[ "BSD-3-Clause" ]

4

2017-10-24T21:47:53.000Z

2019-09-22T13:12:57.000Z

egi/models.py

gtaylor/evennia-game-directory

f7a4d0731503de540026dc0fe6409a7c24ad676e

[ "BSD-3-Clause" ]

2

2017-02-09T16:25:27.000Z

2017-10-24T21:40:42.000Z

import datetime from google.appengine.ext import ndb class GameListing(ndb.Model): # Game listing stuff game_name = ndb.StringProperty(required=True) game_status = ndb.StringProperty(required=True) game_website = ndb.StringProperty() listing_contact = ndb.StringProperty(required=True) short_d...

37.627451

95

0.706097

241

1,919

5.452282

0.53112

0.142314

0.076104

0.08828

0.09589

0

0.003318

0.214695

1,919

50

96

38.38

0.868613

0.211569

0

1

0.064516

false

0

0.064516

0

0.774194

0

null

0

null

0

1

0

2ca4292d50c5517e99b0982bf8f944c2f58adef3

2,267

py

Python

stylelens/dataset/df/generate_category_classifier_dataset.py

williamcameron/bl-magi

a35809489c15df25efc9c322166afaee7df3e192

[ "Apache-2.0" ]

null

stylelens/dataset/df/generate_category_classifier_dataset.py

williamcameron/bl-magi

a35809489c15df25efc9c322166afaee7df3e192

[ "Apache-2.0" ]

null

stylelens/dataset/df/generate_category_classifier_dataset.py

williamcameron/bl-magi

a35809489c15df25efc9c322166afaee7df3e192

[ "Apache-2.0" ]

null

from __future__ import print_function from stylelens_dataset.categories import Categories from stylelens_dataset.objects import Objects from pprint import pprint import os import urllib.request as urllib # create an instance of the API class category_api = Categories() object_api = Objects() def download_image_from_u...

25.47191

100

0.603

264

2,267

4.94697

0.314394

0.11026

0.061256

0.073507

0.258806

0.222052

0.183767

0.125574

0.059724

0

0.005818

0.3176

2,267

88

101

25.761364

0.838397

0.023379

0

0.371429

0

0.074627

0.032112

0

1

0.071429

false

0.028571

0.085714

0

0.185714

0.1

0

null

0

null

0

1

0

2ca44cd0b909b867cabf4f36b32c482801cc16f1

8,429

py

Python

keras/dtensor/lazy_variable.py

englert-m/keras

7007cd0fd548032f1bb2c23b1defa4812628baec

[ "Apache-2.0" ]

null

keras/dtensor/lazy_variable.py

englert-m/keras

7007cd0fd548032f1bb2c23b1defa4812628baec

[ "Apache-2.0" ]

null

keras/dtensor/lazy_variable.py

englert-m/keras

7007cd0fd548032f1bb2c23b1defa4812628baec

[ "Apache-2.0" ]

null

# Copyright 2022 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...

41.522167

111

0.678965

1,038

8,429

5.297688

0.251445

0.106929

0.030915

0.026187

0.187307

0.134934

0.117112

0.087289

0.064375

0

0.002325

0.234429

8,429

202

112

41.727723

0.849837

0.208447

0

0.176871

0

0.150265

0.010431

0

0.004951

0.054422

1

0.040816

false

0.006803

0.068027

0

0.129252

0

null

0

null

0

1

0

2ca5cbc4f5357898528acdf248026bc993f249fb

2,493

py

Python

txaws/tests/test_util.py

vargas/txaws

b75d00e042c6e7e1609c05e01ee54e1c72b1eaf6

[ "MIT" ]

1

2021-12-17T00:03:24.000Z

txaws/tests/test_util.py

vargas/txaws

b75d00e042c6e7e1609c05e01ee54e1c72b1eaf6

[ "MIT" ]

null

txaws/tests/test_util.py

vargas/txaws

b75d00e042c6e7e1609c05e01ee54e1c72b1eaf6

[ "MIT" ]

1

2021-12-17T00:06:41.000Z

from urllib.parse import urlparse import binascii from twisted.trial.unittest import TestCase from txaws.util import hmac_sha1, iso8601time, parse class MiscellaneousTestCase(TestCase): def test_hmac_sha1(self): cases = [ (binascii.unhexlify(b"0b0b0b0b0b0b0b0b0b0b0b0b0b0b0b0b0b0b0b0b"), ...

33.24

77

0.579222

272

2,493

5.283088

0.463235

0.073069

0.069589

0.066806

0.073765

0.044537

0

0.070582

0.289611

2,493

74

78

33.689189

0.740824

0.200562

0

0.113636

0

0.203558

0.085819

0

0.227273

1

0.090909

false

0

0.090909

0

0.227273

0

null

0

null

0

1

0

2ca6030084049893d40df687b5267b7ac8dd9230

7,674

py

Python

vgame/theater.py

cilame/vgame

9b7076256500137fe5c95426798007734dd613a2

[ "MIT" ]

null

vgame/theater.py

cilame/vgame

9b7076256500137fe5c95426798007734dd613a2

[ "MIT" ]

null

vgame/theater.py

cilame/vgame

9b7076256500137fe5c95426798007734dd613a2

[ "MIT" ]

null

import pygame from pygame.locals import * from .actor import Actor from .actor import Player, Wall, Enemy, Bullet, NPC, Anime, Map from .actor import Menu, Background, Button from .actor import Delayer import vgame class Camera: ''' 主要负责处理镜头的处理，看看后续能够扩展出多少的功能。 ''' DEBUG = False def __init__(sel...

36.717703

100

0.600078

954

7,674

4.68239

0.179245

0.048355

0.067159

0.076561

0.22073

0.09156

0.019252

0

0.009643

0.283815

7,674

209

101

36.717703

0.80313

0.097081

0

0.074074

0

0.012962

0

1

0.160494

false

0

0.04321

0.080247

0.283951

0

null

0

null

0

1

0

2ca906d948f8bdc4ff1f5129d6cb152946ac17af

60,654

py

Python

third_party/chromite/lib/auto_updater.py

zipated/src

2b8388091c71e442910a21ada3d97ae8bc1845d3

[ "BSD-3-Clause" ]

2,151

2020-04-18T07:31:17.000Z

2022-03-31T08:39:18.000Z

third_party/chromite/lib/auto_updater.py

cangulcan/src

2b8388091c71e442910a21ada3d97ae8bc1845d3

[ "BSD-3-Clause" ]

395

2020-04-18T08:22:18.000Z

2021-12-08T13:04:49.000Z

third_party/chromite/lib/auto_updater.py

cangulcan/src

2b8388091c71e442910a21ada3d97ae8bc1845d3

[ "BSD-3-Clause" ]

338

2020-04-18T08:03:10.000Z

2022-03-29T12:33:22.000Z

# -*- coding: utf-8 -*- # Copyright 2016 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Library containing functions to execute auto-update on a remote device. TODO(xixuan): Make this lib support other update logic...

40.328457

80

0.685099

7,537

60,654

5.334218

0.121534

0.020893

0.013904

0.007313

0.339941

0.270819

0.21764

0.180231

0.165829

0.150035

0

0.002868

0.229663

60,654

1,503

81

40.355289

0.857589

0.308125

0

0.274971

0

0.16369

0.020934

0

0.003327

0

1

0.074031

false

0

0.024677

0.001175

0.182139

0.0047

0

null

0

null

0

1

0

2caaeb7931baabb2f2a4e505483d42162334c020

1,368

py

Python

d2lbook/common.py

dltech-xyz/d2l-book

5f5279708f029c9724f4b258a1a26b6db2317532

[ "Apache-2.0" ]

1

2021-01-02T03:34:04.000Z

d2lbook/common.py

szha/d2l-book

5f5279708f029c9724f4b258a1a26b6db2317532

[ "Apache-2.0" ]

null

d2lbook/common.py

szha/d2l-book

5f5279708f029c9724f4b258a1a26b6db2317532

[ "Apache-2.0" ]

1

2020-09-15T05:57:12.000Z

import re from typing import Optional, List, Any, Callable, Tuple # Our special mark in markdown, e.g. :label:`chapter_intro` md_mark_pattern = re.compile(':([-\/\\._\w\d]+):(`[\ \*-\/\\\._\w\d]+`)?') # Same for md_mark_pattern, but for rst files rst_mark_pattern = re.compile(':([-\/\\._\w\d]+):(``[\ \*-\/\\\._\w\d]+`...

33.365854

77

0.597953

213

1,368

3.661972

0.347418

0.076923

0.035897

0.051282

0.15641

0.105128

0.061538

0

0.000926

0.210526

1,368

41

78

33.365854

0.721296

0.172515

0

0.068966

0

0.145666

0.040214

0

1

0.137931

false

0

0.068966

0

0.275862

0.206897

0

null

0

null

0

1

0

2cab7ae8cc2711116a7008627d7fc69c47ab979f

4,999

py

Python

emulator/demoEmulator.py

ojotoxy/Processor

8e6e4e8b33b2d3b51b05104089e801f187bb4617

[ "Apache-2.0" ]

1

2021-07-21T03:46:43.000Z

emulator/demoEmulator.py

ojotoxy/Processor

8e6e4e8b33b2d3b51b05104089e801f187bb4617

[ "Apache-2.0" ]

null

emulator/demoEmulator.py

ojotoxy/Processor

8e6e4e8b33b2d3b51b05104089e801f187bb4617

[ "Apache-2.0" ]

1

2021-01-22T07:46:38.000Z

#!/usr/bin/env python3 from enum import Enum # This computer will have these memory mapped registers: # 0 = PC # 1 = SP # but I didn't implement them. Only the program counter exists and its not memory mapped class Memory(object): def __init__(self): self.storage = {} def __setitem__(self, addr, v...

29.063953

100

0.605721

657

4,999

4.493151

0.2207

0.040312

0.123306

0.060976

0.41565

0.39397

0.360434

0.332656

0

0.019899

0.286257

4,999

171

101

29.233918

0.807455

0.215643

0

0.447154

0

0.019102

0

0.005848

0

1

0.03252

false

0

0.00813

0.065041

0.04065

0

null

0

null

0

1

0

2cace54cc66cc33d32eb380eadf379d0098d853a

8,842

py

Python

ggshield/config.py

boblefrag/gg-shield

8eef8e02596ca05b9250482d9ea5cafd4435cfa0

[ "MIT" ]

null

ggshield/config.py

boblefrag/gg-shield

8eef8e02596ca05b9250482d9ea5cafd4435cfa0

[ "MIT" ]

null

ggshield/config.py

boblefrag/gg-shield

8eef8e02596ca05b9250482d9ea5cafd4435cfa0

[ "MIT" ]

null

import copy import json import os from typing import Any, Dict, List, NamedTuple import click import yaml from dotenv import load_dotenv from pygitguardian.models import PolicyBreak from .git_shell import get_git_root, is_git_dir from .text_utils import display_error CONTEXT_SETTINGS = dict(help_option_names=["-h",...

33.240602

87

0.577358

1,075

8,842

4.55907

0.194419

0.019588

0.027749

0.014691

0.37727

0.345032

0.312385

0.247705

0.23383

0

0.001821

0.316784

8,842

265

88

33.366038

0.809469

0.072721

0

0.321782

0

0.085802

0.022618

0

1

0.108911

false

0.004951

0.049505

0.019802

0.336634

0

null

0

null

0

1

0

2cad9f866ea7aa26c12ef287f5ee514f9321fee4

1,444

py

Python

pynetest/lib/pyne_test_blocks.py

Avvir/pyne

864885a8fb632b72c00af164f150b1daa38a346f

[ "MIT" ]

4

2018-08-10T20:05:10.000Z

2019-07-24T15:29:32.000Z

pynetest/lib/pyne_test_blocks.py

Avvir/pyne

864885a8fb632b72c00af164f150b1daa38a346f

[ "MIT" ]

6

2018-09-25T20:15:51.000Z

2021-12-22T17:09:52.000Z

pynetest/lib/pyne_test_blocks.py

Avvir/pyne

864885a8fb632b72c00af164f150b1daa38a346f

[ "MIT" ]

null

class BehaviorBlock: def __init__(self, parent, method, description): self.method = method self.parent = parent self.description = description class Context(object): def __init__(self, parent): if parent is not None: for attr in dir(parent.context): ...

32.088889

121

0.665512

154

1,444

5.876623

0.24026

0.077348

0.072928

0.112707

0.374586

0.256354

0.125967

0

0.234072

1,444

44

122

32.818182

0.818264

0

0.181818

0

0.015928

0

1

0.181818

false

0

0.363636

0

null

0

null

0

1

0

2cae6969a37d3bd9a688ae9ce4914b584b626699

1,166

py

Python

code/Metricsource.py

t1191578/moniteredit

48465d7cbee2452392720a26320d8753f8807bc9

[ "Apache-2.0" ]

null

code/Metricsource.py

t1191578/moniteredit

48465d7cbee2452392720a26320d8753f8807bc9

[ "Apache-2.0" ]

null

code/Metricsource.py

t1191578/moniteredit

48465d7cbee2452392720a26320d8753f8807bc9

[ "Apache-2.0" ]

null

import requests from multipledispatch import dispatch class Source: def __init__(self,url,query="query?query="): self.url = url self.query= query def url(self): #form url pass @dispatch(str) def inputoutput(self, metricreq): Aurl = self.url+self.query+metricreq...

29.897436

69

0.587479

140

1,166

4.828571

0.378571

0.073965

0.08284

0.06213

0.517751

0.405325

0

0.026128

0.277873

1,166

39

70

29.897436

0.776722

0.063465

0

0.375

0

0.111009

0

1

0.125

false

0.03125

0.0625

0

0.28125

0.0625

0

null

0

null

0

1

0

2cb1bb53ea364d5eed2d8ae779c2ec9f50b57788

966

py

Python

mygrations/formats/mysql/file_reader/parsers/index_primary.py

cmancone/mygrations

30d1d568ca7d6c38dbc5211834dd2d04c0bcf078

[ "MIT" ]

10

2018-04-09T08:39:42.000Z

2022-03-14T15:36:05.000Z

mygrations/formats/mysql/file_reader/parsers/index_primary.py

cmancone/mygrations

30d1d568ca7d6c38dbc5211834dd2d04c0bcf078

[ "MIT" ]

14

2018-05-02T11:14:08.000Z

2022-01-15T18:48:54.000Z

mygrations/formats/mysql/file_reader/parsers/index_primary.py

cmancone/mygrations

30d1d568ca7d6c38dbc5211834dd2d04c0bcf078

[ "MIT" ]

5

2018-07-18T02:20:48.000Z

2022-02-19T09:32:07.000Z

from mygrations.core.parse.parser import parser from mygrations.formats.mysql.definitions.index import index class index_primary(parser, index): _index_type = 'primary' has_comma = False # PRIMARY KEY (`id`), rules = [{ 'type': 'literal', 'value': 'PRIMARY KEY' }, { 'type':...

22.465116

74

0.509317

90

966

5.222222

0.444444

0.093617

0.13617

0.085106

0

0.321946

966

42

75

23

0.717557

0.019669

0

0.235294

0

0.177778

0

1

0.058824

false

0

0.058824

0

0.235294

0

null

0

null

0

1

0

2cb2f10583b45235d86386a62278891da1c81b82

445

py

Python

cryptolens/exchanges/poloniex.py

hkilian/cryptolens

22ad4257fb9316e57b2402a83dbbfd583493fb39

[ "MIT" ]

null

cryptolens/exchanges/poloniex.py

hkilian/cryptolens

22ad4257fb9316e57b2402a83dbbfd583493fb39

[ "MIT" ]

1

2021-06-01T21:50:08.000Z

cryptolens/exchanges/poloniex.py

hkilian/cryptolens

22ad4257fb9316e57b2402a83dbbfd583493fb39

[ "MIT" ]

1

2017-11-02T05:08:57.000Z

import json import requests from .exchange import Exchange class Poloniex(Exchange): def __init__(self): Exchange.__init__(self, "GDAX") def PullData(self): url = "https://poloniex.com/public?command=returnTicker&currencyPair=USDT_BTC" response = requests.get(url) ticker = response.json()['USDT_BTC'] d...

21.190476

80

0.705618

54

445

5.62963

0.592593

0.052632

0

0.002632

0.146067

445

20

81

22.25

0.797368

0

0.269663

0

1

0.133333

false

0

0.2

0

0.466667

0

null

0

null

0

1

0

2cb370dba58960e4d34825e77ae18854da4dd923

354

py

Python

exercises/exc_04_02.py

rklymentiev/py-for-neuro

6bb163347483642c79eac429e5a9289edff7ce09

[ "MIT" ]

7

2021-04-28T13:12:16.000Z

2022-01-15T00:21:11.000Z

exercises/exc_04_02.py

rklymentiev/py-for-neuro

6bb163347483642c79eac429e5a9289edff7ce09

[ "MIT" ]

2

2021-04-02T18:42:55.000Z

2021-05-20T08:43:06.000Z

exercises/exc_04_02.py

rklymentiev/py-for-neuro

6bb163347483642c79eac429e5a9289edff7ce09

[ "MIT" ]

2

2021-07-04T22:57:29.000Z

2021-07-29T19:28:43.000Z

import pandas as ___ import seaborn as ___ import matplotlib.pyplot as ___ # read in the data ___ # select the columns with 'mean' in the name selected_columns = list(___) # find the correlations corr_matrix = ___ # make a plot plt.___(figsize=(8,7), facecolor='white') sns.___(data=___, cmap="YlGnBu") plt.___("Correl...

20.823529

44

0.748588

47

354

4.829787

0.765957

0.070485

0

0.006601

0.144068

354

16

45

22.125

0.742574

0.262712

0

0.148438

0

1

0

false

0

0.3

0

0.3

0

null

0

null

0

1

0

2cb530e8e30ba2311d864307233f32b3ff43ff4d

3,178

py

Python

tests/lexer_test.py

tykazzz/pseudo

7414ab0f14142b9ed704d03af0223cf847bf8861

[ "MIT" ]

null

tests/lexer_test.py

tykazzz/pseudo

7414ab0f14142b9ed704d03af0223cf847bf8861

[ "MIT" ]

null

tests/lexer_test.py

tykazzz/pseudo

7414ab0f14142b9ed704d03af0223cf847bf8861

[ "MIT" ]

null

"""This module contains unit tests for lexer module.""" import pytest import pseudo from pseudo.pseudo_types import Operation, Operator, Int __author__ = "Patryk Niedźwiedziński" @pytest.fixture def lexer(): """Returns lexer object.""" lex = pseudo.lexer.Lexer("") return lex def test_is_keyword(lexer...

25.023622

66

0.618943

417

3,178

4.539568

0.151079

0.08505

0.068674

0.137348

0.510829

0.316429

0.232435

0.144744

0.08505

0

0.012469

0.24292

3,178

126

67

25.222222

0.774314

0.109818

0

0.317647

0

0.035119

0

0.164706

1

0.141176

false

0

0.035294

0

0.188235

0

null

0

null

0

1

0

2cb5f4cd3fc9c93d71c637d25d6816c5fcb669d6

19,227

py

Python

app/helpers.py

zhuding/javatools

4b3a57b2ddfec36cae4af08ac5c3d71cfe879f63

[ "Apache-2.0" ]

null

app/helpers.py

zhuding/javatools

4b3a57b2ddfec36cae4af08ac5c3d71cfe879f63

[ "Apache-2.0" ]

null

app/helpers.py

zhuding/javatools

4b3a57b2ddfec36cae4af08ac5c3d71cfe879f63

[ "Apache-2.0" ]

null

# coding=utf8 from app import db def get_databases(): sql = "SHOW DATABASES" result = db.engine.execute(sql) dbs = [] for row in result: dbs.append(row['Database']) return dbs def get_tables(dbname): sql = "SELECT TABLE_NAME AS tableName FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA='" + dbname + "'" res...

34.211744

149

0.504031

2,135

19,227

4.488993

0.082904

0.077003

0.077421

0.040693

0.768573

0.698038

0.64399

0.616235

0.580029

0.551962

0

0.002649

0.214542

19,227

561

150

34.272727

0.631969

0.017215

0

0.680942

0

0.325955

0.046656

0.357602

0

1

0.049251

false

0

0.002141

0

0.098501

0.008565

0

null

0

null

0

1

0

2cb6f59ec4572da89ea0442177be6d5a3a77df0f

1,931

py

Python

pythonforandroid/recipes/numpy/__init__.py

wo01/python-for-android

df0866d95c9c508299a6f948302454beb971e3ac

[ "MIT" ]

2

2019-01-07T12:13:25.000Z

2019-10-19T09:53:50.000Z

pythonforandroid/recipes/numpy/__init__.py

tangingw/python-for-android

7c125ad96f71a950ed272a116a9446c6f60e87a9

[ "MIT" ]

null

pythonforandroid/recipes/numpy/__init__.py

tangingw/python-for-android

7c125ad96f71a950ed272a116a9446c6f60e87a9

[ "MIT" ]

3

2018-12-13T09:57:33.000Z

2019-01-09T15:36:46.000Z

from pythonforandroid.recipe import CompiledComponentsPythonRecipe from pythonforandroid.toolchain import warning from os.path import join class NumpyRecipe(CompiledComponentsPythonRecipe): version = '1.15.1' url = 'https://pypi.python.org/packages/source/n/numpy/numpy-{version}.zip' site_packages_name =...

34.482143

79

0.592439

239

1,931

4.623431

0.368201

0.049774

0.057919

0.047059

0.117647

0.043439

0

0.006281

0.257897

1,931

55

80

35.109091

0.764829

0

0.02381

0.232522

0.025375

0

1

0.047619

false

0

0.071429

0

0.285714

0

null

0

null

0

1

0

2cba683ad98eb61e03c5f63735dc9df320aadbb6

6,136

py

Python

webdriverwrapper/exceptions.py

jayeshgupta91/python-webdriverwrapper

9b2c32bbf06ada669feb62ef17fd23365a14ad14

[ "MIT" ]

null

webdriverwrapper/exceptions.py

jayeshgupta91/python-webdriverwrapper

9b2c32bbf06ada669feb62ef17fd23365a14ad14

[ "MIT" ]

null

webdriverwrapper/exceptions.py

jayeshgupta91/python-webdriverwrapper

9b2c32bbf06ada669feb62ef17fd23365a14ad14

[ "MIT" ]

null

# pylint: disable=wildcard-import,unused-wildcard-import from selenium.common.exceptions import * try: from Levenshtein import distance as levenshteinDistance except ImportError: levenshteinDistance = None def _create_exception_msg( id_=None, class_name=None, name=None, tag_name=None, parent...

33.167568

133

0.661506

750

6,136

5.125333

0.198667

0.03538

0.028096

0.027315

0.306972

0.28512

0.203174

0.16077

0.147242

0.110822

0

0.001917

0.234681

6,136

184

134

33.347826

0.816652

0.128748

0

0.147541

0

0.008197

0.107701

0.011247

0

1

0.098361

false

0

0.02459

0.016393

0.303279

0

null

0

null

0

1

0

2cc08333be3174d0b142d7bc58887c3bfc8700a5

6,369

py

Python

app/routes.py

MBkkt/TaskManager

ed4a5cb5bbb93dc3b10d459cf2e37a82be5b8a5e

[ "MIT" ]

null

app/routes.py

MBkkt/TaskManager

ed4a5cb5bbb93dc3b10d459cf2e37a82be5b8a5e

[ "MIT" ]

1

2019-04-30T22:19:15.000Z

2019-04-30T22:20:06.000Z

app/routes.py

MBkkt/Task_Manager

ed4a5cb5bbb93dc3b10d459cf2e37a82be5b8a5e

[ "MIT" ]

null

from functools import wraps from flask import render_template, flash, redirect, url_for, request from flask_login import login_user, logout_user, current_user, login_required from app import app from app.models import User, Task from app.forms import ( LoginForm, RegistrationForm, AddTask, EditTaskForPerformer,...

31.374384

77

0.633851

807

6,369

4.802974

0.137546

0.070949

0.04644

0.03612

0.469298

0.372807

0.28741

0.23452

0.185759

0.164603

0

0.000614

0.23269

6,369

202

78

31.529703

0.792511

0

0.380682

0

0.119014

0.003454

0

1

0.073864

false

0.017045

0.034091

0.005682

0.238636

0

null

0

null

0

1

0

2cc092fe85073efa8f38bdc1b3e3d9c07f22b3d8

4,136

py

Python

project.py

Peter-Sanders/IE-512-Decison-Analysis-Final-Project

868c6bb3843350d943027073cf4b4631d0188de0

[ "Unlicense" ]

1

2019-12-14T03:08:23.000Z

project.py

Peter-Sanders/IE-512-Decison-Analysis-Final-Project

868c6bb3843350d943027073cf4b4631d0188de0

[ "Unlicense" ]

null

project.py

Peter-Sanders/IE-512-Decison-Analysis-Final-Project

868c6bb3843350d943027073cf4b4631d0188de0

[ "Unlicense" ]

null

# coding: utf-8 # # Stock Choice Decision Analysis # Code written and commentated by Peter Sanders # ### Load Relevant Packages # In[1]: from pandas_datareader import data import matplotlib.pyplot as plt import pandas as pd import seaborn as sns from datetime import datetime import numpy as np import math from sci...

19.237209

126

0.671905

676

4,136

3.97929

0.301775

0.07026

0.089219

0.113011

0.28513

0.259108

0.257249

0.255019

0.225279

0

0.035817

0.15619

4,136

214

127

19.327103

0.734957

0.223646

0

0.040541

0

0.013514

0.091142

0.011232

0

1

0.013514

false

0

0.108108

0

0.135135

0.027027

0

null

0

null

0

1

0

2cc331db5c05974b7e5d6a6759775540b86d78ad

40,276

py

Python

slicem_gui.py

marcottelab/Slicem

2dbf9f8faf89a12c983595871809445663bc5a26

[ "MIT" ]

5

2019-10-05T03:04:57.000Z

2021-10-02T23:52:56.000Z

slicem_gui.py

marcottelab/Slicem

2dbf9f8faf89a12c983595871809445663bc5a26

[ "MIT" ]

2

2019-11-24T09:58:13.000Z

2020-11-09T23:57:28.000Z

slicem_gui.py

marcottelab/SLICEM

2dbf9f8faf89a12c983595871809445663bc5a26

[ "MIT" ]

null

import os import mrcfile import numpy as np import pandas as pd import networkx as nx from igraph import Graph from scipy import ndimage as ndi from skimage import transform, measure import tkinter as tk from tkinter import ttk import tkinter.filedialog import matplotlib from matplotlib import cm import matplotlib.py...

34.931483

112

0.553282

5,018

40,276

4.290753

0.127541

0.015605

0.008917

0.015605

0.343458

0.270169

0.210394

0.173517

0.143978

0.123496

0

0.02384

0.318875

40,276

1,153

113

34.931483

0.761018

0.064828

0

0.159601

0

0.038482

0.00122

0

0.000867

0

1

0.041147

false

0

0.023691

0.002494

0.089776

0.011222

0

null

0

null

0

1

0

2cc537735a2d67e707923633b8c5359a8e975af1

650

py

Python

src/openprocurement/tender/openeu/procedure/state/bid.py

ProzorroUKR/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

10

2020-02-18T01:56:21.000Z

2022-03-28T00:32:57.000Z

src/openprocurement/tender/openeu/procedure/state/bid.py

quintagroup/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

26

2018-07-16T09:30:44.000Z

2021-02-02T17:51:30.000Z

src/openprocurement/tender/openeu/procedure/state/bid.py

ProzorroUKR/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

15

2019-08-08T10:50:47.000Z

2022-02-05T14:13:36.000Z

from openprocurement.api.utils import error_handler from openprocurement.tender.core.procedure.state.bid import BidState as BaseBidState class BidState(BaseBidState): def status_up(self, before, after, data): assert before != after, "Statuses must be different" # this logic moved here from valida...

40.625

99

0.695385

80

650

5.5625

0.6625

0.074157

0.076404

0

0.005803

0.204615

650

15

100

43.333333

0.854932

0.173846

0

0.144465

0

0.111111

1

0.111111

false

0

0.222222

0

0.444444

0

null

0

null

0

1

0

2cc54c1983960e2959f4569eed5ba54d8ffadc15

4,903

py

Python

api/serializers.py

apigram/jade-api

1aece29c3109db68897fdf854be431554e7f2863

[ "Apache-2.0" ]

null

api/serializers.py

apigram/jade-api

1aece29c3109db68897fdf854be431554e7f2863

[ "Apache-2.0" ]

null

api/serializers.py

apigram/jade-api

1aece29c3109db68897fdf854be431554e7f2863

[ "Apache-2.0" ]

null

from rest_framework_nested.serializers import NestedHyperlinkedModelSerializer from rest_framework_nested.relations import NestedHyperlinkedRelatedField from rest_framework import serializers from api.models import User, Company, CompanyContact, Order, Item, Contact, OrderItem import copy class UserSerializer(seriali...

27.544944

85

0.646543

442

4,903

6.9819

0.208145

0.028516

0.04083

0.095269

0.466948

0.376863

0.277706

0.255671

0.214841

0.201555

0

0.255354

4,903

177

86

27.700565

0.845248

0

0.33813

0

0.112176

0.004487

0

1

0.014388

false

0

0.035971

0

0.330935

0

null

0

null

0

1

0

2cc5625c16ac62cef1a16f88ef8ee506d837539a

1,703

py

Python

kanga/management/commands/add-origins.py

deptofdefense/kanga

9c8d926a4828e2fca528915ddf35759d1c328c85

[ "MIT" ]

1

2022-03-05T01:17:59.000Z

kanga/management/commands/add-origins.py

deptofdefense/kanga

9c8d926a4828e2fca528915ddf35759d1c328c85

[ "MIT" ]

null

kanga/management/commands/add-origins.py

deptofdefense/kanga

9c8d926a4828e2fca528915ddf35759d1c328c85

[ "MIT" ]

null

# ================================================================= # # Work of the U.S. Department of Defense, Defense Digital Service. # Released as open source under the MIT License. See LICENSE file. # # ================================================================= import json import sys from django.core.man...

28.864407

84

0.500881

174

1,703

4.833333

0.511494

0.032105

0.026159

0.042806

0.080856

0

0.000875

0.328831

1,703

58

85

29.362069

0.734908

0.153846

0

0.2

0

0.03499

0

1

0.05

false

0

0.175

0

0.275

0

null

0

null

0

1

0

2cc813a4b5a65446f5e51d5a31e50f0a7569413f

692

py

Python

examples/joost/grammarator.py

wilkeraziz/grasp

95f5135fd3711eed32cddce2049dd595314fb1f4

[ "Apache-2.0" ]

9

2015-07-22T18:07:44.000Z

2021-11-08T11:21:11.000Z

examples/joost/grammarator.py

wilkeraziz/grasp

95f5135fd3711eed32cddce2049dd595314fb1f4

[ "Apache-2.0" ]

null

examples/joost/grammarator.py

wilkeraziz/grasp

95f5135fd3711eed32cddce2049dd595314fb1f4

[ "Apache-2.0" ]

1

2021-01-12T10:00:22.000Z

#!/usr/bin/env python3 import argparse parser = argparse.ArgumentParser(description='Process some integers.') parser.add_argument('k', metavar='k', type=int, nargs='?', help='number of classes of terminals (terminal-generating non-terminals)') args = parser.parse_args() # print("k = %d" % args.k) print("""[A] |||...

26.615385

76

0.492775

115

692

2.947826

0.452174

0.023599

0.026549

0.035398

0.106195

0.053097

0

0.033451

0.179191

692

25

77

27.68

0.56338

0.066474

0

0.535714

0

1

0

false

0

0.058824

0

0.058824

0.235294

0

null

0

null

0

1

0

2ccbbcd205dc73323b99918be9662a57635d2a3f

5,924

py

Python

app/sims/method/fields.py

DeepanshS/mrsimulator-ui

42f1a85f1cb76896cde2a3c8d4e38fe2c989b710

[ "BSD-3-Clause" ]

2

2019-11-21T16:14:13.000Z

2020-10-17T21:36:00.000Z

app/sims/method/fields.py

DeepanshS/mrsimulator-ui

42f1a85f1cb76896cde2a3c8d4e38fe2c989b710

[ "BSD-3-Clause" ]

32

2021-07-07T20:16:29.000Z

2022-03-29T14:09:23.000Z

app/sims/method/fields.py

DeepanshS/mrsimulator-ui

42f1a85f1cb76896cde2a3c8d4e38fe2c989b710

[ "BSD-3-Clause" ]

2

2019-10-23T18:23:57.000Z

2021-03-25T00:13:10.000Z

# -*- coding: utf-8 -*- import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input from dash.dependencies import Output from app import app from app.custom_widgets import collapsable_card from app.custom_widgets import container from app.custom_widgets import custom_butt...

29.182266

88

0.61293

706

5,924

4.997167

0.273371

0.031179

0.045351

0.058673

0.27466

0.165816

0.085317

0.049887

0.034014

0

0.017348

0.260466

5,924

202

89

29.326733

0.78772

0.326469

0

0.159664

0

0.222941

0.018384

0

1

0.02521

false

0

0.084034

0

0.134454

0

null

0

null

0

1

0

2ccee2fa8c8ba625dd902253db0db5b0a2526b08

563

py

Python

class2/exercises/exercise2/exercise2c.py

EndlessDynamics/Fork_nornir_course

04bf7e3819659f481a4e04059152877b795177b2

[ "Apache-2.0" ]

60

2019-05-11T05:23:10.000Z

2022-03-30T08:03:43.000Z

class2/exercises/exercise2/exercise2c.py

EndlessDynamics/Fork_nornir_course

04bf7e3819659f481a4e04059152877b795177b2

[ "Apache-2.0" ]

14

2021-03-31T19:08:08.000Z

2021-09-15T17:29:40.000Z

class2/exercises/exercise2/exercise2c.py

EndlessDynamics/Fork_nornir_course

04bf7e3819659f481a4e04059152877b795177b2

[ "Apache-2.0" ]

21

2019-08-08T21:30:46.000Z

2022-03-28T06:22:25.000Z

from rich import print from nornir import InitNornir from nornir.core.filter import F from nornir_netmiko import netmiko_send_command def main(): nr = InitNornir(config_file="config.yaml") filt = F(groups__contains="ios") nr = nr.filter(filt) my_results = nr.run( task=netmiko_send_command, com...

22.52

73

0.694494

76

563

4.789474

0.5

0.120879

0.098901

0

0.004425

0.197158

563

24

74

23.458333

0.800885

0

0.105263

0

0.087034

0

1

0.052632

false

0

0.210526

0

0.263158

0.315789

0

null

0

null

0

1

0

e2ba3189a471ae4c5fad168efa534a2e6749bec4

13,265

py

Python

portality/api/current/data_objects/application.py

DOAJ/doaj

b11f163c48f51f9e3ada2b02c617b50b847dcb4c

[ "Apache-2.0" ]

47

2015-04-24T13:13:39.000Z

2022-03-06T03:22:42.000Z

portality/api/current/data_objects/application.py

DOAJ/doaj

b11f163c48f51f9e3ada2b02c617b50b847dcb4c

[ "Apache-2.0" ]

1,215

2015-01-02T14:29:38.000Z

2022-03-28T14:19:13.000Z

portality/api/current/data_objects/application.py

DOAJ/doaj

b11f163c48f51f9e3ada2b02c617b50b847dcb4c

[ "Apache-2.0" ]

14

2015-11-27T13:01:23.000Z

2021-05-21T07:57:23.000Z

import uuid from datetime import datetime from portality.api.current.data_objects.common import _check_for_script from portality.lib import swagger, seamless, coerce, dates, dataobj from portality import models from copy import deepcopy from portality.api.current.data_objects.common_journal_application import Outgoin...

35.467914

140

0.603166

1,462

13,265

5.214774

0.192886

0.055089

0.025708

0.040399

0.390346

0.320698

0.247639

0.195042

0.119753

0.084601

0

0.001893

0.283302

13,265

373

141

35.563003

0.800042

0.104109

0

0.216028

0

0.170979

0.013699

0

0.002681

0.003484

1

0.135889

false

0

0.038328

0.04878

0.278746

0

null

0

null

0

1

0

e2bd7c8a213c65827af43039aa4e15d0d27034d2

4,086

py

Python

app.py

joumanarahime/sqlalchemy-challenge

e86c3a05443a6d2664b2f9ab8145565c7fbce24b

[ "ADSL" ]

null

app.py

joumanarahime/sqlalchemy-challenge

e86c3a05443a6d2664b2f9ab8145565c7fbce24b

[ "ADSL" ]

null

app.py

joumanarahime/sqlalchemy-challenge

e86c3a05443a6d2664b2f9ab8145565c7fbce24b

[ "ADSL" ]

null

import numpy as np import pandas as dp import datetime as dt import sqlalchemy from sqlalchemy.ext.automap import automap_base from sqlalchemy.orm import Session from sqlalchemy import create_engine, func from flask import Flask, jsonify #engine = create_engine("sqlite:///Resources/hawaii.sqlite") engine = create_engi...

27.986301

140

0.610622

526

4,086

4.642586

0.226236

0.022523

0.027027

0.01638

0.314087

0.251433

0.199836

0.171171

0

0.022172

0.238375

4,086

146

141

27.986301

0.762532

0.053108

0

0.271845

0

0.009709

0.201036

0.081865

0

1

0.058252

false

0

0.07767

0

0.194175

0

null

0

null

0

1

0