xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

07e2d1b8a7c46e378298b64b296fe93ed48acbf5

1,828

py

Python

tests/integration/api/test_target_groups.py

lanz/Tenable.io-SDK-for-Python

e81a61c369ac103d1524b0898153a569536a131e

[ "MIT" ]

90

2017-02-02T18:36:17.000Z

2022-02-05T17:58:50.000Z

tests/integration/api/test_target_groups.py

lanz/Tenable.io-SDK-for-Python

e81a61c369ac103d1524b0898153a569536a131e

[ "MIT" ]

64

2017-02-03T00:54:00.000Z

2020-08-06T14:06:50.000Z

tests/integration/api/test_target_groups.py

lanz/Tenable.io-SDK-for-Python

e81a61c369ac103d1524b0898153a569536a131e

[ "MIT" ]

49

2017-02-03T01:01:00.000Z

2022-02-25T13:25:28.000Z

import pytest from tenable_io.api.target_groups import TargetListEditRequest from tenable_io.api.models import TargetGroup, TargetGroupList @pytest.mark.vcr() def test_target_groups_create(new_target_group): assert isinstance(new_target_group, TargetGroup), u'The `create` method did not return type `TargetGroup`...

44.585366

119

0.784464

260

1,828

5.276923

0.188462

0.152332

0.081633

0.058309

0.439504

0.39723

0.340379

0.198251

0

0.126368

1,828

40

120

45.7

0.859111

0

0.241379

0

0.261488

0.012035

0

0.310345

1

0.172414

false

0

0.103448

0

0.275862

0

null

0

null

0

1

0

07e4a4e5e49ff1a01f2886f954c1382ba8822f86

9,352

py

Python

train.py

hui-won/KoBART_Project

105608997473abc669d777c588d56382efb524c6

[ "MIT" ]

13

2020-12-30T15:09:08.000Z

2022-01-02T08:11:18.000Z

train.py

hui-won/KoBART_Project

105608997473abc669d777c588d56382efb524c6

[ "MIT" ]

2

2021-11-21T11:49:31.000Z

2022-03-18T05:09:13.000Z

train.py

hui-won/KoBART_Project

105608997473abc669d777c588d56382efb524c6

[ "MIT" ]

1

2021-06-15T01:24:18.000Z

import argparse import logging import os import numpy as np import pandas as pd import pytorch_lightning as pl import torch from pytorch_lightning import loggers as pl_loggers from torch.utils.data import DataLoader, Dataset from dataset import KoBARTSummaryDataset from transformers import BartForConditionalGeneration,...

39.627119

153

0.559773

971

9,352

5.124614

0.223481

0.02713

0.034164

0.028135

0.270498

0.226889

0.196342

0.186294

0.152532

0.140474

0

0.005295

0.353828

9,352

235

154

39.795745

0.818137

0.013794

0

0.183673

0

0.079201

0.003906

0

1

0.076531

false

0

0.066327

0

0.214286

0

null

0

null

0

1

0

07e4f4a4fe370f9d6aeaae97b9bd2ee2d9364898

11,945

py

Python

homeassistant/components/shelly/sensor.py

RavensburgOP/core

0ea76e848b182ca0ebb0fdb54558f7f733898ad7

[ "Apache-2.0" ]

1

2019-08-28T00:54:28.000Z

homeassistant/components/shelly/sensor.py

RavensburgOP/core

0ea76e848b182ca0ebb0fdb54558f7f733898ad7

[ "Apache-2.0" ]

71

2020-07-14T09:08:56.000Z

2022-03-31T06:01:47.000Z

homeassistant/components/shelly/sensor.py

Vaarlion/core

f3de8b9f28de01abf72c0f5bb0b457eb1841f201

[ "Apache-2.0" ]

null

"""Sensor for Shelly.""" from __future__ import annotations from datetime import timedelta import logging from typing import Final, cast import aioshelly from homeassistant.components import sensor from homeassistant.components.sensor import SensorEntity from homeassistant.config_entries import ConfigEntry from home...

34.226361

84

0.669904

1,244

11,945

6.157556

0.152733

0.071802

0.048042

0.063055

0.566449

0.517102

0.487728

0.45248

0.437728

0

0.008376

0.230389

11,945

348

85

34.324713

0.824867

0.028631

0

0.508251

0

0.060957

0

1

0.033003

false

0

0.056106

0

0.132013

0

null

0

null

0

1

0

07e700a1cf3d3463190722de4956e44165a923c7

1,969

py

Python

InvenTree/InvenTree/management/commands/rebuild_thumbnails.py

rocheparadox/InvenTree

76c1e936db78424e0d6953c4062eb32863e302c6

[ "MIT" ]

656

2017-03-29T22:06:14.000Z

2022-03-30T11:23:52.000Z

InvenTree/InvenTree/management/commands/rebuild_thumbnails.py

rocheparadox/InvenTree

76c1e936db78424e0d6953c4062eb32863e302c6

[ "MIT" ]

1,545

2017-04-10T23:26:04.000Z

2022-03-31T18:32:10.000Z

InvenTree/InvenTree/management/commands/rebuild_thumbnails.py

fablabbcn/InvenTree

1d7ea7716cc96c6ffd151c822b01cd1fb5dcfecd

[ "MIT" ]

196

2017-03-28T03:06:21.000Z

2022-03-28T11:53:29.000Z

""" Custom management command to rebuild thumbnail images - May be required after importing a new dataset, for example """ import os import logging from PIL import UnidentifiedImageError from django.core.management.base import BaseCommand from django.conf import settings from django.db.utils import OperationalError...

27.732394

82

0.630269

214

1,969

5.775701

0.429907

0.05178

0.019417

0.027508

0.211974

0.124595

0

0.285932

1,969

70

83

28.128571

0.87909

0.111224

0

0.175

0

0.144366

0

1

0.05

false

0

0.2

0

0.3

0

null

0

null

0

1

0

07e994b02286199ddba77a78c4751e4388520310

267

py

Python

examples/show_artist.py

jimcortez/spotipy_twisted

49ff2a4a5a5a9b3184b22adbe068eb91a38f3102

[ "MIT" ]

null

examples/show_artist.py

jimcortez/spotipy_twisted

49ff2a4a5a5a9b3184b22adbe068eb91a38f3102

[ "MIT" ]

null

examples/show_artist.py

jimcortez/spotipy_twisted

49ff2a4a5a5a9b3184b22adbe068eb91a38f3102

[ "MIT" ]

null

# shows artist info for a URN or URL import spotipy_twisted import sys import pprint if len(sys.argv) > 1: urn = sys.argv[1] else: urn = 'spotify:artist:3jOstUTkEu2JkjvRdBA5Gu' sp = spotipy_twisted.Spotify() artist = sp.artist(urn) pprint.pprint(artist)

15.705882

49

0.726592

40

267

4.8

0.525

0.145833

0.083333

0

0.022624

0.172285

267

16

50

16.6875

0.846154

0.127341

0

0.160173

0

1

0

false

0

0.3

0

0.3

0.2

0

null

0

null

0

1

0

07ebcae81863c1e60bd65e743d7f7961451a23cf

2,895

py

Python

code_doc/views/author_views.py

coordt/code_doc

c2fac64ac3ad61952a2d9f036727166741f9aff9

[ "BSD-3-Clause" ]

null

code_doc/views/author_views.py

coordt/code_doc

c2fac64ac3ad61952a2d9f036727166741f9aff9

[ "BSD-3-Clause" ]

null

code_doc/views/author_views.py

coordt/code_doc

c2fac64ac3ad61952a2d9f036727166741f9aff9

[ "BSD-3-Clause" ]

null

from django.shortcuts import render from django.http import Http404 from django.views.generic.edit import UpdateView from django.views.generic import ListView, View from django.contrib.auth.decorators import login_required from django.contrib.auth.models import User from django.utils.decorators import method_decorator...

28.382353

88

0.680484

332

2,895

5.756024

0.337349

0.03663

0.021978

0.031397

0.126635

0.03349

0

0.004966

0.234888

2,895

101

89

28.663366

0.857788

0.109154

0

0.220588

0

0.122986

0.06169

0

0.009901

0

1

0.058824

false

0.014706

0.176471

0

0.485294

0

null

0

null

0

1

0

07eea84b8f7990a608b685c1a60f3250095ce8a2

1,271

py

Python

mingpt/lr_decay.py

asigalov61/minGPT

b4f8d57aaf1bb5c64d480f8005b73d39b075ae4b

[ "MIT" ]

18

2020-09-10T02:29:38.000Z

2022-03-16T03:17:35.000Z

mingpt/lr_decay.py

asigalov61/minGPT

b4f8d57aaf1bb5c64d480f8005b73d39b075ae4b

[ "MIT" ]

null

mingpt/lr_decay.py

asigalov61/minGPT

b4f8d57aaf1bb5c64d480f8005b73d39b075ae4b

[ "MIT" ]

7

2020-08-20T16:35:38.000Z

2022-01-10T21:57:49.000Z

import math import pytorch_lightning as pl class LearningRateDecayCallback(pl.Callback): def __init__(self, learning_rate, warmup_tokens=375e6, final_tokens=260e9, lr_decay=True): super().__init__() self.learning_rate = learning_rate self.tokens = 0 self.final_tokens = final_token...

41

106

0.609756

162

1,271

4.530864

0.395062

0.114441

0.108992

0.089918

0.114441

0

0.024581

0.29583

1,271

31

107

41

0.795531

0.080252

0

0.001715

0

1

0.083333

false

0

0.083333

0

0.208333

0

null

0

null

0

1

0

07ef68929a367d76f0cb572e51ac36b254e815b0

40,518

py

Python

apprise/config/ConfigBase.py

calvinbui/apprise

a5510790baf5aa1d74afabab25ff57d6b2304d56

[ "MIT" ]

null

apprise/config/ConfigBase.py

calvinbui/apprise

a5510790baf5aa1d74afabab25ff57d6b2304d56

[ "MIT" ]

null

apprise/config/ConfigBase.py

calvinbui/apprise

a5510790baf5aa1d74afabab25ff57d6b2304d56

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (C) 2020 Chris Caron <lead2gold@gmail.com> # All rights reserved. # # This code is licensed under the MIT License. # # 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 th...

38.116651

79

0.550768

4,575

40,518

4.820109

0.157158

0.023218

0.01696

0.007618

0.33294

0.288455

0.267504

0.239162

0.225648

0.206421

0

0.002547

0.37993

40,518

1,062

80

38.152542

0.875179

0.376944

0

0.371739

0

0.002174

0.090078

0.010273

0

1

0.034783

false

0

0.034783

0

0.15

0

null

0

null

0

1

0

07f0b2b68417d129704d340d100e569555824ebc

977

py

Python

ffmpeg_util.py

manuel-fischer/ScrollRec

ec5662d3f61630f939613481290a166133d23a20

[ "MIT" ]

null

ffmpeg_util.py

manuel-fischer/ScrollRec

ec5662d3f61630f939613481290a166133d23a20

[ "MIT" ]

null

ffmpeg_util.py

manuel-fischer/ScrollRec

ec5662d3f61630f939613481290a166133d23a20

[ "MIT" ]

null

import sys import subprocess from subprocess import Popen, PIPE AV_LOG_QUIET = "quiet" AV_LOG_PANIC = "panic" AV_LOG_FATAL = "fatal" AV_LOG_ERROR = "error" AV_LOG_WARNING = "warning" AV_LOG_INFO = "info" AV_LOG_VERBOSE = "verbose" AV_LOG_DEBUG = "debug" ffmpeg_loglevel = AV_LOG_ERROR IS_WIN32 = 'win32' ...

24.425

89

0.698055

118

977

5.5

0.423729

0.069337

0.030817

0

0.007624

0.194473

977

40

90

24.425

0.817027

0.007165

0

0.088751

0

1

0.033333

false

0

0.1

0

0.166667

0.033333

0

null

0

null

0

1

0

07f1195aa55500ccfbdb1eb16ce8a5e553bfeb5d

11,381

py

Python

analysis_tools/PYTHON_RICARDO/output_ingress_egress/scripts/uniform_grid.py

lefevre-fraser/openmeta-mms

08f3115e76498df1f8d70641d71f5c52cab4ce5f

[ "MIT" ]

null

analysis_tools/PYTHON_RICARDO/output_ingress_egress/scripts/uniform_grid.py

lefevre-fraser/openmeta-mms

08f3115e76498df1f8d70641d71f5c52cab4ce5f

[ "MIT" ]

null

analysis_tools/PYTHON_RICARDO/output_ingress_egress/scripts/uniform_grid.py

lefevre-fraser/openmeta-mms

08f3115e76498df1f8d70641d71f5c52cab4ce5f

[ "MIT" ]

null

""" Represent a triangulated surface using a 3D boolean grid""" import logging import numpy as np from rpl.tools.ray_tracing.bsp_tree_poly import BSP_Element from rpl.tools.geometry import geom_utils import data_io class BSP_Grid(object): def __init__(self, node_array, tris, allocate_step=100000): ...

42.30855

99

0.567613

1,601

11,381

3.757027

0.202998

0.061347

0.042394

0.01995

0.299584

0.21596

0.200831

0.16143

0.147963

0.135661

0

0.014721

0.313593

11,381

269

100

42.30855

0.755248

0.199719

0

0.186335

0

0.085564

0.023027

0

1

0.049689

false

0

0.043478

0

0.136646

0

null

0

null

0

1

0

07f1ea6de606abc50abb899228cdc43831fa522e

876

py

Python

pyfire/errors.py

RavidLevi98/pyfire

404ae2082fd5be3ef652b3e15a66ad0d79b7a1b5

[ "BSD-3-Clause" ]

null

pyfire/errors.py

RavidLevi98/pyfire

404ae2082fd5be3ef652b3e15a66ad0d79b7a1b5

[ "BSD-3-Clause" ]

1

2021-05-22T21:34:44.000Z

pyfire/errors.py

RavidLevi98/pyfire

404ae2082fd5be3ef652b3e15a66ad0d79b7a1b5

[ "BSD-3-Clause" ]

1

2021-05-22T21:21:11.000Z

# -*- coding: utf-8 -*- """ pyfire.errors ~~~~~~~~~~~~~~~~~~~~~~ Holds the global used base errors :copyright: 2011 by the pyfire Team, see AUTHORS for more details. :license: BSD, see LICENSE for more details. """ import xml.etree.ElementTree as ET class XMPPProtocolError(Exception): """Ba...

28.258065

72

0.651826

112

876

4.946429

0.5625

0.081227

0.070397

0

0.007452

0.234018

876

30

73

29.2

0.818182

0.359589

0

0.009709

0

1

0.181818

false

0

0.090909

0

0.454545

0

null

0

null

0

1

0

07f6a33d952a989c19f3efa056df22e95ace1f20

4,526

py

Python

tests/unit/commands/local/start_lambda/test_cli.py

ourobouros/aws-sam-cli

3fba861f5106d604fde6d023923a9b83377a35d9

[ "Apache-2.0" ]

2

2018-11-09T04:43:41.000Z

2018-11-20T06:39:45.000Z

tests/unit/commands/local/start_lambda/test_cli.py

ourobouros/aws-sam-cli

3fba861f5106d604fde6d023923a9b83377a35d9

[ "Apache-2.0" ]

null

tests/unit/commands/local/start_lambda/test_cli.py

ourobouros/aws-sam-cli

3fba861f5106d604fde6d023923a9b83377a35d9

[ "Apache-2.0" ]

null

from unittest import TestCase from mock import patch, Mock from samcli.commands.local.start_lambda.cli import do_cli as start_lambda_cli from samcli.commands.local.cli_common.user_exceptions import UserException from samcli.commands.validate.lib.exceptions import InvalidSamDocumentException from samcli.commands.local....

45.26

96

0.579319

451

4,526

5.48337

0.203991

0.04448

0.053781

0.048524

0.430247

0.416903

0.401537

0.335625

0.296806

0

0.002057

0.355502

4,526

99

97

45.717172

0.845732

0.015245

0

0.375

0

0.07385

0.047811

0

0.0875

1

0.0625

false

0

0.075

0

0.15

0

null

0

null

0

1

0

07f928cd0ad75195469f95ed414958ac002210c7

3,376

py

Python

pytorch_toolkit/ote/ote/modules/trainers/mmdetection.py

abhatikar/training_extensions

1c96e0f5f39688f8b79735e8dfa90646afc3d5e6

[ "Apache-2.0" ]

2

2021-01-07T05:09:17.000Z

2021-10-15T05:13:46.000Z

pytorch_toolkit/ote/ote/modules/trainers/mmdetection.py

abhatikar/training_extensions

1c96e0f5f39688f8b79735e8dfa90646afc3d5e6

[ "Apache-2.0" ]

9

2021-09-08T03:12:59.000Z

2022-03-12T00:57:19.000Z

pytorch_toolkit/ote/ote/modules/trainers/mmdetection.py

abhatikar/training_extensions

1c96e0f5f39688f8b79735e8dfa90646afc3d5e6

[ "Apache-2.0" ]

null

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

34.44898

101

0.627073

426

3,376

4.774648

0.373239

0.070796

0.038348

0.031465

0.205015

0.181908

0.096362

0.026549

0

0.006457

0.265995

3,376

97

102

34.804124

0.814366

0.166469

0

0.142857

0

0.183119

0.067597

0.015873

0

1

0.079365

false

0

0.111111

0.015873

0.31746

0

null

0

null

0

1

0

07fabd24f913f0cde7669692291156d001f2e833

1,979

py

Python

svn-go-stats/transform.py

BT-OpenSource/bt-betalab

af5a1b0d778c1746312149f62da0c4159f387293

[ "MIT" ]

1

2021-03-02T10:44:07.000Z

svn-go-stats/transform.py

BT-OpenSource/bt-betalab

af5a1b0d778c1746312149f62da0c4159f387293

[ "MIT" ]

null

svn-go-stats/transform.py

BT-OpenSource/bt-betalab

af5a1b0d778c1746312149f62da0c4159f387293

[ "MIT" ]

null

import sys import json import subprocess import re import statistics def get_complexity(): # Load the cyclomatic complexity info cyclostats = subprocess.check_output(['./gocyclo', 'repo']).decode("utf-8") results = re.findall('([0-9]+)\s([^\s]+)\s([^\s]+)\s([^:]+):([0-9]+):([0-9]+)', cyclostats) # S...

29.102941

106

0.623042

250

1,979

4.824

0.376

0.054726

0.104478

0.048093

0.157546

0.099502

0

0.013953

0.239515

1,979

68

107

29.102941

0.787375

0.19808

0

0.195122

0

0.02439

0.139505

0.048193

0

1

0.04878

false

0

0.121951

0

0.219512

0.02439

0

null

0

null

0

1

0

07fb5058c7a297096cbf1ff7f21aedcf66b7d3ad

985

py

Python

shogitk/usikif.py

koji-hirono/pytk-shogi-replayer

a10819a797faecbee5c7b0654beb3694eb522840

[ "MIT" ]

null

shogitk/usikif.py

koji-hirono/pytk-shogi-replayer

a10819a797faecbee5c7b0654beb3694eb522840

[ "MIT" ]

null

shogitk/usikif.py

koji-hirono/pytk-shogi-replayer

a10819a797faecbee5c7b0654beb3694eb522840

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from shogitk.shogi import Coords, Move, BLACK, WHITE, DROP, PROMOTE RANKNUM = { 'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8, 'i': 9 } def decoder(f): color = ...

25.921053

74

0.450761

121

985

3.628099

0.454545

0.056948

0.088838

0.072893

0.232346

0.132118

0

0.043046

0.386802

985

37

75

26.621622

0.683775

0.02132

0

0.121212

0

0.011435

0

1

0.030303

false

0.030303

0.060606

0

0.090909

0

null

0

null

0

1

0

07fca3ec2f3896a49c6703b50dabc9ec79e258a9

2,160

py

Python

etherbank_cli/oracles.py

ideal-money/etherbank-cli

d957daa13aa951331cadc35c246c1ce8459ca8df

[ "BSD-2-Clause" ]

1

2018-12-29T02:12:25.000Z

etherbank_cli/oracles.py

ideal-money/etherbank-cli

d957daa13aa951331cadc35c246c1ce8459ca8df

[ "BSD-2-Clause" ]

5

2018-12-20T12:45:39.000Z

2019-01-08T06:16:01.000Z

etherbank_cli/oracles.py

ideal-money/etherbank-cli

d957daa13aa951331cadc35c246c1ce8459ca8df

[ "BSD-2-Clause" ]

null

import click from . import utils @click.group() def main(): "Simple CLI for oracles to work with Ether dollar" pass @main.command() @click.option('--ether-price', type=float, help="The ether price in ether dollar") @click.option('--collateral-ratio', type=float, help="The collateral ratio") @click.option( ...

30

82

0.697222

286

2,160

5.111888

0.304196

0.06156

0.032832

0.045144

0.471272

0.401505

0.305746

0

0.009637

0.183333

2,160

71

83

30.422535

0.819161

0.065741

0

0.37931

0

0.254167

0.010185

0

0.017241

1

0.068966

false

0.017241

0.034483

0

0.155172

0

null

0

null

0

1

0

580077f8f713a612aa61ab64e08f6fd83f19a081

1,454

py

Python

tests/effects/test_cheerlights.py

RatJuggler/led-shim-effects

3c63f5f2ce3f35f52e784489deb9212757c18cd2

[ "MIT" ]

1

2021-04-17T16:18:14.000Z

tests/effects/test_cheerlights.py

RatJuggler/led-shim-effects

3c63f5f2ce3f35f52e784489deb9212757c18cd2

[ "MIT" ]

12

2019-07-26T18:01:56.000Z

2019-08-31T15:35:17.000Z

tests/effects/test_cheerlights.py

RatJuggler/led-shim-demo

3c63f5f2ce3f35f52e784489deb9212757c18cd2

[ "MIT" ]

null

from unittest import TestCase from unittest.mock import Mock, patch import sys sys.modules['smbus'] = Mock() # Mock the hardware layer to avoid errors. from ledshimdemo.canvas import Canvas from ledshimdemo.effects.cheerlights import CheerLightsEffect class TestCheerLights(TestCase): TEST_CANVAS_SIZE = 3 # t...

39.297297

106

0.72696

175

1,454

5.834286

0.405714

0.039177

0.054848

0.078355

0.27522

0.249755

0.181195

0.123408

0

0.00251

0.178129

1,454

36

107

40.388889

0.851883

0.078404

0

0.296296

0

0.113024

0.080838

0

0.148148

1

0.111111

false

0

0.185185

0

0.37037

0

null

0

null

0

1

0

5800997c4a49cdfc01a368bf3ebf423b84d98d2c

7,074

py

Python

figures/Figure_7/02_generate_images.py

Jhsmit/ColiCoords-Paper

7b92e67600930f64859d14867113b6de3edf1379

[ "MIT" ]

2

2019-05-12T12:06:50.000Z

2020-11-11T16:44:49.000Z

figures/Figure_7/02_generate_images.py

Jhsmit/ColiCoords-Paper

7b92e67600930f64859d14867113b6de3edf1379

[ "MIT" ]

null

figures/Figure_7/02_generate_images.py

Jhsmit/ColiCoords-Paper

7b92e67600930f64859d14867113b6de3edf1379

[ "MIT" ]

2

2019-06-17T16:00:56.000Z

2020-02-07T22:17:47.000Z

from colicoords.synthetic_data import add_readout_noise, draw_poisson from colicoords import load import numpy as np import mahotas as mh from tqdm import tqdm import os import tifffile def chunk_list(l, sizes): prev = 0 for s in sizes: result = l[prev:prev+s] prev += s yield result ...

40.890173

126

0.602771

1,062

7,074

3.822034

0.186441

0.055186

0.049273

0.068983

0.293915

0.232816

0.226657

0.196354

0.126632

0.034491

0

0.023374

0.250071

7,074

172

127

41.127907

0.741753

0.045095

0

0.128788

0

0.091516

0.010531

0

0.015152

1

0.045455

false

0

0.05303

0

0.121212

0

null

0

null

0

1

0

5804951a8f92330526763d3f11395d318d54d180

10,444

py

Python

flink-ai-flow/ai_flow/metric/utils.py

MarvinMiao/flink-ai-extended

e45eecf2deea6976ba3d7ba821ffb8d9ce0a17f4

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

1

2020-12-12T15:21:05.000Z

flink-ai-flow/ai_flow/metric/utils.py

MarvinMiao/flink-ai-extended

e45eecf2deea6976ba3d7ba821ffb8d9ce0a17f4

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

1

2021-01-30T11:28:37.000Z

flink-ai-flow/ai_flow/metric/utils.py

MarvinMiao/flink-ai-extended

e45eecf2deea6976ba3d7ba821ffb8d9ce0a17f4

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

null

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

49.032864

122

0.627633

1,094

10,444

5.66819

0.142596

0.10966

0.041122

0.033382

0.362038

0.254959

0.153524

0.140945

0.115465

0

0.003742

0.309077

10,444

212

123

49.264151

0.855599

0.072003

0

0.208333

0

0.010028

0

1

0.071429

false

0

0.053571

0.017857

0.22619

0

null

0

null

0

1

0

58055aabc65a23b166d03e3a5c7b5b2ffaa06173

3,154

py

Python

src/moduels/gui/Tab_Help.py

HaujetZhao/Caps_Writer

f2b2038a2c0984a1d356f024cbac421fe594601a

[ "MIT" ]

234

2020-07-10T11:23:09.000Z

2022-03-31T09:41:40.000Z

src/moduels/gui/Tab_Help.py

HaujetZhao/Caps_Writer

f2b2038a2c0984a1d356f024cbac421fe594601a

[ "MIT" ]

9

2020-07-11T08:31:11.000Z

2022-03-01T04:30:08.000Z

src/moduels/gui/Tab_Help.py

HaujetZhao/Caps_Writer

f2b2038a2c0984a1d356f024cbac421fe594601a

[ "MIT" ]

23

2020-07-14T08:58:44.000Z

2022-03-17T06:38:10.000Z

# -*- coding: UTF-8 -*- from PySide2.QtWidgets import QWidget, QPushButton, QVBoxLayout from PySide2.QtCore import Signal from moduels.component.NormalValue import 常量 from moduels.component.SponsorDialog import SponsorDialog import os, webbrowser class Tab_Help(QWidget): 状态栏消息 = Signal(str, int) def __init...

45.057143

132

0.69499

337

3,154

6.468843

0.338279

0.038532

0.054587

0.093119

0.157798

0.133945

0

0.017836

0.182308

3,154

69

133

45.710145

0.827453

0.049778

0

0.018182

0.146203

0.017397

0

1

0.109091

false

0

0.109091

0

0.254545

0.018182

0

null

0

null

0

1

0

5805ce50d417618b337a1e60276ff06de0f997f8

1,425

py

Python

utils/visual.py

xizaoqu/Panoptic-PolarNet

8ce05f437f54e030eac7de150f43caab2810cfbb

[ "BSD-3-Clause" ]

90

2021-03-30T08:02:15.000Z

2022-03-30T03:29:56.000Z

utils/visual.py

xizaoqu/Panoptic-PolarNet

8ce05f437f54e030eac7de150f43caab2810cfbb

[ "BSD-3-Clause" ]

11

2021-04-01T02:29:08.000Z

2022-03-04T07:30:50.000Z

utils/visual.py

xizaoqu/Panoptic-PolarNet

8ce05f437f54e030eac7de150f43caab2810cfbb

[ "BSD-3-Clause" ]

21

2021-04-01T09:29:38.000Z

2022-03-28T01:36:02.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import cv2 import numpy as np def flow_to_img(flow, normalize=True): """Convert flow to viewable image, using color hue to encode flow vector orientation, and color saturation to encode vector length. This is similar to the OpenCV tutorial on dense optical flow, e...

39.583333

116

0.665263

207

1,425

4.52657

0.497585

0.06937

0.034152

0

0.057502

0.218947

1,425

36

117

39.583333

0.784367

0.486316

0

1

0.058824

false

0

0.117647

0

0.235294

0

null

0

null

0

1

0

5806fd8ba37feb4c4d823dfb9c4c105ed07bdd0c

624

py

Python

DistributedRL/Gateway/build/Code/sim/Parser/LAI/GreenIndex.py

zhkmxx9302013/SoftwarePilot

826098465b800085774946c20a7a283f369f1d21

[ "MIT" ]

4

2019-03-20T17:46:01.000Z

2019-03-31T17:32:44.000Z

DistributedRL/Gateway/build/Code/sim/Parser/LAI/GreenIndex.py

zhkmxx9302013/SoftwarePilot

826098465b800085774946c20a7a283f369f1d21

[ "MIT" ]

null

DistributedRL/Gateway/build/Code/sim/Parser/LAI/GreenIndex.py

zhkmxx9302013/SoftwarePilot

826098465b800085774946c20a7a283f369f1d21

[ "MIT" ]

null

import argparse from PIL import Image, ImageStat import math parser = argparse.ArgumentParser() parser.add_argument('fname') parser.add_argument('pref', default="", nargs="?") args = parser.parse_args() im = Image.open(args.fname) RGB = im.convert('RGB') imWidth, imHeight = im.size ratg = 1.2 ratgb = 1.66 ming = 10...

20.8

50

0.684295

104

624

4.076923

0.509615

0.042453

0.080189

0.051887

0

0.028571

0.158654

624

29

51

21.517241

0.779048

0

0.027244

0

1

0

false

0

0.125

0

0.125

0.041667

0

null

0

null

0

1

0

58077bea9c4435d13d9ff119348291eadd3323f7

4,561

py

Python

reports/heliosV1/python/heliosStorageStats/heliosStorageStats.py

ped998/scripts

0dcaaf47f9676210e1c972a5d59d8d0de82a1d93

[ "Apache-2.0" ]

null

reports/heliosV1/python/heliosStorageStats/heliosStorageStats.py

ped998/scripts

0dcaaf47f9676210e1c972a5d59d8d0de82a1d93

[ "Apache-2.0" ]

null

reports/heliosV1/python/heliosStorageStats/heliosStorageStats.py

ped998/scripts

0dcaaf47f9676210e1c972a5d59d8d0de82a1d93

[ "Apache-2.0" ]

null

#!/usr/bin/env python """cluster storage stats for python""" # import pyhesity wrapper module from pyhesity import * from datetime import datetime import codecs # command line arguments import argparse parser = argparse.ArgumentParser() parser.add_argument('-v', '--vip', type=str, default='helios.cohesity.com') # cl...

49.043011

293

0.726814

501

4,561

6.60479

0.315369

0.026594

0.006346

0.007253

0.229979

0.221517

0.159263

0.125416

0.122696

0.070716

0

0.019425

0.10831

4,561

92

294

49.576087

0.794197

0.056128

0

0.09375

0.375146

0.234554

0

1

0.03125

false

0.046875

0.0625

0.015625

0.109375

0.046875

0

null

0

null

0

1

0

6af1bee4f8dfc29969377047eaf5953641fb77f7

4,823

py

Python

tests/test_find_forks/test_find_forks.py

ivan2kh/find_forks

409251282a85da48445afc03c5a1797df393ca95

[ "MIT" ]

41

2015-05-15T14:37:42.000Z

2022-02-05T01:52:00.000Z

tests/test_find_forks/test_find_forks.py

ivan2kh/find_forks

409251282a85da48445afc03c5a1797df393ca95

[ "MIT" ]

12

2015-05-15T22:10:36.000Z

2021-12-05T14:21:58.000Z

tests/test_find_forks/test_find_forks.py

ivan2kh/find_forks

409251282a85da48445afc03c5a1797df393ca95

[ "MIT" ]

16

2015-05-15T14:44:33.000Z

2020-11-18T00:54:18.000Z

# coding: utf-8 """test_find_fork.""" # pylint: disable=no-self-use from __future__ import absolute_import, division, print_function, unicode_literals from os import path import unittest from six import PY3 from find_forks.__init__ import CONFIG from find_forks.find_forks import add_forks, determine_names, find_fork...

41.577586

146

0.644412

602

4,823

4.918605

0.237542

0.091185

0.037825

0.051334

0.387707

0.312732

0.206349

0.184059

0.151638

0

0.011999

0.239685

4,823

115

147

41.93913

0.795473

0.096828

0

0.097561

0

0.073171

0.224238

0.060479

0

0.207317

1

0.073171

false

0

0.121951

0

0.231707

0.012195

0

null

0

null

0

1

0

6af1e67adc2134fb57f91c04b0e1763048fc52e2

15,853

py

Python

neutron/agent/l3/dvr_router.py

insequent/neutron

2b1c4f121e3e8ba1c5eb2ba6661bf6326e1507c5

[ "Apache-2.0" ]

null

neutron/agent/l3/dvr_router.py

insequent/neutron

2b1c4f121e3e8ba1c5eb2ba6661bf6326e1507c5

[ "Apache-2.0" ]

null

neutron/agent/l3/dvr_router.py

insequent/neutron

2b1c4f121e3e8ba1c5eb2ba6661bf6326e1507c5

[ "Apache-2.0" ]

null

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

43.196185

79

0.6272

2,172

15,853

4.28453

0.177256

0.012895

0.01354

0.018375

0.356437

0.290673

0.229422

0.190415

0.157748

0.1268

0

0.008087

0.290229

15,853

366

80

43.314208

0.818966

0.200151

0

0.204819

0

0.055867

0

0.001603

0.005464

0

1

0.092369

false

0

0.044177

0.004016

0.216867

0

null

0

null

0

1

0

6af335ed4a4087ef091d5830d5a795b074596342

1,032

py

Python

sandbox/test/testChainop.py

turkeydonkey/nzmath3

a48ae9efcf0d9ad1485c2e9863c948a7f1b20311

[ "BSD-3-Clause" ]

1

2021-05-26T19:22:17.000Z

sandbox/test/testChainop.py

turkeydonkey/nzmath3

a48ae9efcf0d9ad1485c2e9863c948a7f1b20311

[ "BSD-3-Clause" ]

null

sandbox/test/testChainop.py

turkeydonkey/nzmath3

a48ae9efcf0d9ad1485c2e9863c948a7f1b20311

[ "BSD-3-Clause" ]

null

import unittest import operator import sandbox.chainop as chainop class BasicChainTest (unittest.TestCase): def testBasicChain(self): double = lambda x: x * 2 self.assertEqual(62, chainop.basic_chain((operator.add, double), 2, 31)) square = lambda x: x ** 2 self.assertEqual(2**31, ...

31.272727

98

0.650194

132

1,032

4.969697

0.371212

0.042683

0.04878

0.054878

0.216463

0.106707

0

0.04059

0.212209

1,032

32

99

32.25

0.766298

0

0.16

0

0.015504

0

0.16

1

0.12

false

0

0.12

0

0.36

0

null

0

null

0

1

0

6af3beecef5460df43fd5570a5ba8ce1f6a0d13d

1,131

py

Python

labs_final/lab5/experiments/run_trpo_pendulum.py

mrmotallebi/berkeley-deeprl-bootcamp

9257c693724c38edfa4571e3510667ca168b7ca1

[ "MIT" ]

3

2018-03-26T14:13:11.000Z

2020-07-23T22:26:28.000Z

labs_final/lab5/experiments/run_trpo_pendulum.py

mrmotallebi/berkeley-deeprl-bootcamp

9257c693724c38edfa4571e3510667ca168b7ca1

[ "MIT" ]

null

labs_final/lab5/experiments/run_trpo_pendulum.py

mrmotallebi/berkeley-deeprl-bootcamp

9257c693724c38edfa4571e3510667ca168b7ca1

[ "MIT" ]

null

#!/usr/bin/env python import chainer from algs import trpo from env_makers import EnvMaker from models import GaussianMLPPolicy, MLPBaseline from utils import SnapshotSaver import numpy as np import os import logger log_dir = "data/local/trpo-pendulum" np.random.seed(42) # Clean up existing logs os.system("rm -rf {...

24.586957

51

0.678161

142

1,131

5.211268

0.450704

0.064865

0.075676

0.081081

0.343243

0

0.02411

0.229885

1,131

45

52

25.133333

0.825488

0.038019

0

0.263158

0

0.040516

0.022099

0

1

0

false

0

0.210526

0

0.210526

0

null

0

null

0

1

0

6af3f2a17f291a65e5f9b17cbe9f19d00752f642

2,098

py

Python

jtyoui/regular/regexengine.py

yy1244/Jtyoui

d3c212ed9d6ffa6b37a8ca49098ab59c89216f09

[ "MIT" ]

1

2019-12-05T09:46:51.000Z

jtyoui/regular/regexengine.py

yy1244/Jtyoui

d3c212ed9d6ffa6b37a8ca49098ab59c89216f09

[ "MIT" ]

null

jtyoui/regular/regexengine.py

yy1244/Jtyoui

d3c212ed9d6ffa6b37a8ca49098ab59c89216f09

[ "MIT" ]

null

#!/usr/bin/python3.7 # -*- coding: utf-8 -*- # @Time : 2019/12/2 10:17 # @Author: Jtyoui@qq.com """ 正则解析器 """ try: import xml.etree.cElementTree as et except ModuleNotFoundError: import xml.etree.ElementTree as et import re class RegexEngine: def __init__(self, xml, str_): """加载正则表。正则表为xml ...

27.246753

87

0.479981

234

2,098

4.175214

0.34188

0.067554

0.071648

0.0348

0.155578

0.143296

0.108495

0

0.011407

0.373213

2,098

76

88

27.605263

0.731559

0.109152

0

0.254902

0

0.027964

0

1

0.117647

false

0

0.058824

0.019608

0.27451

0

null

0

null

0

1

0

6af4d5fe8b77a49f0cbdce7b5f8e3248894cc3b5

5,117

py

Python

proglearn/transformers.py

rflperry/ProgLearn

9f799b4a8cf2157ba40b04842dc88eaf646e6420

[ "MIT" ]

null

proglearn/transformers.py

rflperry/ProgLearn

9f799b4a8cf2157ba40b04842dc88eaf646e6420

[ "MIT" ]

1

2020-11-25T19:21:54.000Z

proglearn/transformers.py

rflperry/ProgLearn

9f799b4a8cf2157ba40b04842dc88eaf646e6420

[ "MIT" ]

null

""" Main Author: Will LeVine Corresponding Email: levinewill@icloud.com """ import keras import numpy as np from sklearn.tree import DecisionTreeClassifier from sklearn.utils.validation import check_array, check_is_fitted, check_X_y from .base import BaseTransformer class NeuralClassificationTransformer(BaseTransfor...

26.931579

94

0.587063

526

5,117

5.60076

0.277567

0.00611

0.023082

0.031229

0.39647

0.376103

0.3537

0

0.004018

0.319132

5,117

189

95

27.074074

0.841561

0.492671

0

0.148148

0

0.039939

0.012133

0

1

0.111111

false

0

0.092593

0

0.314815

0

null

0

null

0

1

0

6af5766ae43b84c8b76547fb51e5b56cfdb7f3af

9,900

py

Python

morphelia/external/saphire.py

marx-alex/Morphelia

809278b07f1a535789455d54df3cbddc850d609c

[ "MIT" ]

null

morphelia/external/saphire.py

marx-alex/Morphelia

809278b07f1a535789455d54df3cbddc850d609c

[ "MIT" ]

null

morphelia/external/saphire.py

marx-alex/Morphelia

809278b07f1a535789455d54df3cbddc850d609c

[ "MIT" ]

null

import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.collections as mcoll from matplotlib.ticker import MaxNLocator plt.style.use('seaborn-darkgrid') class BaseTraj: def __init__(self, model, X): self.model = model assert len(X.shape) == 2, f"X should be 2...

34.256055

114

0.58101

1,353

9,900

4.10643

0.219512

0.015839

0.011699

0.012599

0.330094

0.287077

0.232901

0.227322

0.215443

0

0.02578

0.290808

9,900

288

115

34.375

0.76556

0.153939

0

0.248485

0

0.053348

0.003279

0

0.018182

1

0.09697

false

0

0.030303

0

0.224242

0

null

0

null

0

1

0

6af5ea523e6e4b25159d80c12448780bfd106c8c

4,824

py

Python

account/views.py

Stfuncode/food-beverage-investigator

0fea4943a5c2634068dc04118f83742327937c25

[ "MIT" ]

null

account/views.py

Stfuncode/food-beverage-investigator

0fea4943a5c2634068dc04118f83742327937c25

[ "MIT" ]

null

account/views.py

Stfuncode/food-beverage-investigator

0fea4943a5c2634068dc04118f83742327937c25

[ "MIT" ]

null

import imp from venv import create from django.shortcuts import render, redirect from django.views import View from django.views.generic import ( ListView, ) from account.models import * from account.forms import * from data.models import * from django.contrib.auth import login as auth_login from django.contrib.a...

33.5

87

0.645522

521

4,824

5.873321

0.241843

0.029412

0.037255

0.027778

0.355882

0.287582

0.250654

0.222549

0.196405

0

0.001926

0.246476

4,824

144

88

33.5

0.83989

0.004768

0

0.385246

0

0.115

0.023958

0

1

0.081967

false

0

0.098361

0

0.401639

0.016393

0

null

0

null

0

1

0

6af67173be2103fc04ef7a7c51b006d1f866e003

2,697

py

Python

fpds/client.py

mgradowski/aiproject

855332bd982bef2530ad935a209ae8be35963165

[ "MIT" ]

null

fpds/client.py

mgradowski/aiproject

855332bd982bef2530ad935a209ae8be35963165

[ "MIT" ]

null

fpds/client.py

mgradowski/aiproject

855332bd982bef2530ad935a209ae8be35963165

[ "MIT" ]

null

import cv2 import aiohttp import asyncio import concurrent.futures import argparse import numpy as np async def camera_source(ws: aiohttp.ClientWebSocketResponse, threadpool: concurrent.futures.ThreadPoolExecutor, src_id: int=0): loop = asyncio.get_running_loop() try: src = await loop.run_in_executor(...

35.025974

127

0.668891

330

2,697

5.275758

0.354545

0.024124

0.080414

0.032165

0.276852

0.213096

0.180931

0.072947

0.049397

0

0.012943

0.226548

2,697

76

128

35.486842

0.821668

0.000742

0

0.25

0

0.042703

0

1

0.014706

false

0.029412

0.088235

0

0.102941

0

null

0

null

0

1

0

6af759aad1d331394cb7f013c9559f17569541f2

3,619

py

Python

Giveme5W1H/extractor/tools/key_value_cache.py

bkrrr/Giveme5W

657738781fe387d76e6e0da35ed009ccf81f4290

[ "Apache-2.0" ]

410

2018-05-02T12:53:02.000Z

2022-03-28T16:11:34.000Z

Giveme5W1H/extractor/tools/key_value_cache.py

bkrrr/Giveme5W

657738781fe387d76e6e0da35ed009ccf81f4290

[ "Apache-2.0" ]

51

2018-05-02T13:53:19.000Z

2022-03-22T00:16:39.000Z

Giveme5W1H/extractor/tools/key_value_cache.py

TU-Berlin/Giveme5W1H

b1586328393a50acde86015d22f78a4c15bf2f34

[ "Apache-2.0" ]

81

2018-05-29T14:03:27.000Z

2022-02-08T08:59:38.000Z

import logging import os import pickle import sys import threading import time from typing import List from Giveme5W1H.extractor.root import path from Giveme5W1H.extractor.tools.util import bytes_2_human_readable class KeyValueCache(object): def __init__(self, cache_path): """ :param cache_path: ...

30.931624

115

0.585797

449

3,619

4.538976

0.325167

0.092738

0.076546

0.020608

0.136899

0.098626

0.027478

0

0.004

0.309201

3,619

116

31.198276

0.8112

0.235424

0

0.137931

0

0.033953

0

1

0.172414

false

0

0.155172

0

0.448276

0

null

0

null

0

1

0

6af7f07129b756fc33dfdd705556d009ef89fe63

3,121

py

Python

nsst_translate_corpus.py

AlexanderJenke/nsst

75f6afa39568c72c9c513ac0313db33b80bb67d5

[ "Apache-2.0" ]

null

nsst_translate_corpus.py

AlexanderJenke/nsst

75f6afa39568c72c9c513ac0313db33b80bb67d5

[ "Apache-2.0" ]

null

nsst_translate_corpus.py

AlexanderJenke/nsst

75f6afa39568c72c9c513ac0313db33b80bb67d5

[ "Apache-2.0" ]

null

from argparse import ArgumentParser from tqdm import tqdm import NSST from nsst_translate import best_transition_sequence if __name__ == '__main__': parser = ArgumentParser() parser.add_argument("--nsst_file", default="output/nsst_tss20_th4_nSt100_Q0.pkl", help="nsst file") parser.add_argument("--src_lan...

32.852632

104

0.544056

404

3,121

3.977723

0.279703

0.034848

0.052894

0.022402

0.18046

0.100809

0.065961

0

0.017476

0.339955

3,121

94

105

33.202128

0.762621

0.065043

0

0.03125

0

0.135237

0.096008

0

1

0

false

0.015625

0.0625

0

0.0625

0.015625

0

null

0

null

0

1

0

6afa2508436ad02c7fe767127789a72b5fa053d8

382

py

Python

10 Days of Statistics/Day 1/Standard Deviation.py

dhyanpatel110/HACKERRANK

949b1ff468ff3487663bf063a8fe6cdfb9dea26b

[ "Apache-2.0" ]

null

10 Days of Statistics/Day 1/Standard Deviation.py

dhyanpatel110/HACKERRANK

949b1ff468ff3487663bf063a8fe6cdfb9dea26b

[ "Apache-2.0" ]

null

10 Days of Statistics/Day 1/Standard Deviation.py

dhyanpatel110/HACKERRANK

949b1ff468ff3487663bf063a8fe6cdfb9dea26b

[ "Apache-2.0" ]

null

# Import library import math # Define functionts def mean(data): return sum(data) / len(data) def stddev(data, size): sum = 0 for i in range(size): sum = sum + (data[i] - mean(data)) ** 2 return math.sqrt(sum / size) # Set data size = int(input()) numbers = list(map(int, input().split())) # ...

19.1

47

0.63089

57

382

4.22807

0.578947

0.06639

0

0.01

0.21466

382

19

48

20.105263

0.793333

0.167539

0

1

0.181818

false

0

0.090909

0.454545

0.090909

0

null

0

null

0

1

0

6afb588f82055ac18339fc17c00162ed0a0496d8

314

py

Python

Homework/Hw4/Solution/problem5a.py

jmsevillam/Herramientas-Computacionales-UniAndes

957338873bd6a17201dfd4629c7edd5760e2271d

[ "MIT" ]

null

Homework/Hw4/Solution/problem5a.py

jmsevillam/Herramientas-Computacionales-UniAndes

957338873bd6a17201dfd4629c7edd5760e2271d

[ "MIT" ]

null

Homework/Hw4/Solution/problem5a.py

jmsevillam/Herramientas-Computacionales-UniAndes

957338873bd6a17201dfd4629c7edd5760e2271d

[ "MIT" ]

5

2019-05-27T13:35:51.000Z

2020-09-30T15:19:39.000Z

def decode(word1,word2,code): if len(word1)==1: code+=word1+word2 return code else: code+=word1[0]+word2[0] return decode(word1[1:],word2[1:],code) Alice='Ti rga eoe esg o h ore"ermetsCmuainls' Bob='hspormdcdsamsaefrtecus Hraina optcoae"' print(decode(Alice,Bob,''))

24.153846

47

0.630573

44

314

4.5

0.568182

0.111111

0

0.057143

0.219745

314

12

48

26.166667

0.75102

0

0.242038

0.070064

0

1

0.1

false

0

0.3

0.1

0

null

0

null

0

1

0

6afbbfc0a8b4d96b676b80363b2e541af846b662

7,415

py

Python

pychron/lasers/power/composite_calibration_manager.py

ASUPychron/pychron

dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76

[ "Apache-2.0" ]

31

2016-03-07T02:38:17.000Z

2022-02-14T18:23:43.000Z

pychron/lasers/power/composite_calibration_manager.py

ASUPychron/pychron

dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76

[ "Apache-2.0" ]

1,626

2015-01-07T04:52:35.000Z

2022-03-25T19:15:59.000Z

pychron/lasers/power/composite_calibration_manager.py

UIllinoisHALPychron/pychron

f21b79f4592a9fb9dc9a4cb2e4e943a3885ededc

[ "Apache-2.0" ]

26

2015-05-23T00:10:06.000Z

2022-03-07T16:51:57.000Z

# =============================================================================== # Copyright 2012 Jake Ross # # 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/licens...

30.142276

88

0.552124

774

7,415

5.127907

0.31137

0.018141

0.028219

0.013605

0.11741

0.081633

0.058453

0

0.006265

0.311126

7,415

245

89

30.265306

0.770752

0.157249

0

0.130682

0

0.062086

0.003395

0

1

0.085227

false

0

0.068182

0.005682

0.289773

0

null

0

null

0

1

0

6afbd0d610e5a63b6a074ba49e684ae0359ba35a

3,957

py

Python

ttt_package/libs/best_move.py

Ipgnosis/tic_tac_toe

e1519b702531965cc647ff37c1c46d72f4b3b24e

[ "BSD-3-Clause" ]

null

ttt_package/libs/best_move.py

Ipgnosis/tic_tac_toe

e1519b702531965cc647ff37c1c46d72f4b3b24e

[ "BSD-3-Clause" ]

4

2021-03-25T19:52:40.000Z

2021-12-12T17:57:11.000Z

ttt_package/libs/best_move.py

Ipgnosis/tic_tac_toe

e1519b702531965cc647ff37c1c46d72f4b3b24e

[ "BSD-3-Clause" ]

null

# refactored from make_play to simplify # by Russell on 3/5/21 #from ttt_package.libs.move_utils import get_open_cells from ttt_package.libs.compare import get_transposed_games, reorient_games from ttt_package.libs.calc_game_bound import calc_game_bound from ttt_package.libs.maxi_min import maximin # find the best mo...

42.548387

100

0.703058

561

3,957

4.761141

0.286988

0.035942

0.048671

0.026956

0.132535

0.058405

0

0.002632

0.231994

3,957

92

101

43.01087

0.876275

0.570382

0

0.01748

0

1

0.032258

false

0

0.096774

0

0.193548

0

null

0

null

0

1

0

6afc188b33bb84dbd980d2429af99225dafac393

805

py

Python

yard/skills/66-python/cookbook/yvhai/demo/mt/raw_thread.py

paser4se/bbxyard

d09bc6efb75618b2cef047bad9c8b835043446cb

[ "Apache-2.0" ]

1

2016-03-29T02:01:58.000Z

yard/skills/66-python/cookbook/yvhai/demo/mt/raw_thread.py

paser4se/bbxyard

d09bc6efb75618b2cef047bad9c8b835043446cb

[ "Apache-2.0" ]

18

2019-02-13T09:15:25.000Z

2021-12-09T21:32:13.000Z

yard/skills/66-python/cookbook/yvhai/demo/mt/raw_thread.py

paser4se/bbxyard

d09bc6efb75618b2cef047bad9c8b835043446cb

[ "Apache-2.0" ]

2

2020-07-05T01:01:30.000Z

2020-07-08T22:33:06.000Z

#!/usr/bin/env python3 # python 线程测试 import _thread import time from yvhai.demo.base import YHDemo def print_time(thread_name, interval, times): for cnt in range(times): time.sleep(interval) print(" -- %s: %s" % (thread_name, time.ctime(time.time()))) class RawThreadDemo(YHDemo): def __in...

20.125

70

0.601242

94

805

4.840426

0.531915

0.059341

0.098901

0.087912

0.153846

0

0.018676

0.268323

805

39

71

20.641026

0.75382

0.050932

0

0.083333

0

0.073587

0

1

0.166667

false

0.041667

0.125

0

0.333333

0.208333

0

null

0

null

0

1

0

6afc7c91ed45303d7c201609e1cc6104aa29ad90

3,108

py

Python

rasa/utils/tensorflow/constants.py

praneethgb/rasa

5bf227f165d0b041a367d2c0bbf712ebb6a54792

[ "Apache-2.0" ]

8

2020-09-16T17:22:13.000Z

2022-02-01T00:11:30.000Z

rasa/utils/tensorflow/constants.py

praneethgb/rasa

5bf227f165d0b041a367d2c0bbf712ebb6a54792

[ "Apache-2.0" ]

216

2020-09-20T13:05:58.000Z

2022-03-28T12:10:24.000Z

rasa/utils/tensorflow/constants.py

praneethgb/rasa

5bf227f165d0b041a367d2c0bbf712ebb6a54792

[ "Apache-2.0" ]

1

2022-02-01T18:23:23.000Z

# constants for configuration parameters of our tensorflow models LABEL = "label" IDS = "ids" # LABEL_PAD_ID is used to pad multi-label training examples. # It should be < 0 to avoid index out of bounds errors by tf.one_hot. LABEL_PAD_ID = -1 HIDDEN_LAYERS_SIZES = "hidden_layers_sizes" SHARE_HIDDEN_LAYERS = "share_hid...

27.75

87

0.818855

392

3,108

6

0.369898

0.027211

0.008503

0.013605

0.031463

0

0.000715

0.099743

3,108

111

88

28

0.839886

0.076898

0

0.428422

0.184358

0

1

0

false

0

null

0

null

0

1

0

6afcd2c6547b58f11a5de71fbf337c71913e7438

32,025

py

Python

client/canyons-of-mars/maze.py

GamesCreatorsClub/GCC-Rover

25a69f62a1bb01fc421924ec39f180f50d6a640b

[ "MIT" ]

3

2018-02-13T21:39:55.000Z

2018-04-26T18:17:39.000Z

client/canyons-of-mars/maze.py

GamesCreatorsClub/GCC-Rover

25a69f62a1bb01fc421924ec39f180f50d6a640b

[ "MIT" ]

null

client/canyons-of-mars/maze.py

GamesCreatorsClub/GCC-Rover

25a69f62a1bb01fc421924ec39f180f50d6a640b

[ "MIT" ]

null

# # Copyright 2016-2019 Games Creators Club # # MIT License # import math import pyroslib import pyroslib.logging import time from pyroslib.logging import log, LOG_LEVEL_ALWAYS, LOG_LEVEL_INFO, LOG_LEVEL_DEBUG from rover import WheelOdos, WHEEL_NAMES from rover import normaiseAngle, angleDiference from challenge_uti...

43.75

238

0.600031

4,001

32,025

4.6001

0.07873

0.02934

0.022005

0.015648

0.627058

0.537517

0.488943

0.467264

0.42733

0.422766

0

0.051095

0.294145

32,025

731

239

43.80985

0.763106

0.040031

0

0.464991

0

0.016158

0.060876

0.001889

0

0.001368

0

1

0.08079

false

0.003591

0.016158

0.008977

0.195691

0.023339

0

null

0

null

0

1

0

6afe91d71e827ccc78b53873ca9a15887ff25298

5,550

py

Python

All_Program.py

TheoSaify/Yolo-Detector

f1ac387370982de323a4fc09109c57736b8ce8d6

[ "Apache-2.0" ]

null

All_Program.py

TheoSaify/Yolo-Detector

f1ac387370982de323a4fc09109c57736b8ce8d6

[ "Apache-2.0" ]

null

All_Program.py

TheoSaify/Yolo-Detector

f1ac387370982de323a4fc09109c57736b8ce8d6

[ "Apache-2.0" ]

null

import cv2 from cv2 import * import numpy as np from matplotlib import pyplot as plt ###############################SIFT MATCH Function################################# def SIFTMATCH(img1,img2): # Initiate SIFT detector sift = cv2.xfeatures2d.SIFT_create() # find the keypoints and descri...

29.83871

127

0.571171

701

5,550

4.455064

0.39087

0.01537

0.012488

0.009606

0.03202

0.014089

0

0.057466

0.250631

5,550

185

128

30

0.693436

0.248468

0

0.073171

0

0.060522

0

1

0.02439

false

0

0.04878

0

0.085366

0.073171

0

null

0

null

0

1

0

6aff4d7639431aa38a4d3a68b963afee4300b218

3,479

py

Python

pyxon/utils.py

k-j-m/Pyxon

a7f9b3ce524f2441e952c47acd199dd4024d2322

[ "MIT" ]

null

pyxon/utils.py

k-j-m/Pyxon

a7f9b3ce524f2441e952c47acd199dd4024d2322

[ "MIT" ]

null

pyxon/utils.py

k-j-m/Pyxon

a7f9b3ce524f2441e952c47acd199dd4024d2322

[ "MIT" ]

null

import pyxon.decode as pd def unobjectify(obj): """ Turns a python object (must be a class instance) into the corresponding JSON data. Example: >>> @sprop.a # sprop annotations are needed to tell the >>> @sprop.b # unobjectify function what parameter need >>> @sprop.c # to be written out....

28.284553

72

0.627479

493

3,479

4.342799

0.348884

0.011677

0.033629

0.088744

0.078468

0.060719

0.048575

0

0.005892

0.268181

3,479

122

73

28.516393

0.835035

0.50733

0

0.146341

0

1

0.170732

false

0

0.02439

0.365854

0

null

0

null

0

1

0

6affc41b95b69a262ac3e3eb689401cbbc182548

19,112

py

Python

AxonDeepSeg/segment.py

sophie685/newfileplzworklord

fbbb03c44dc9e4b0409364b49265f453ac80d3c0

[ "MIT" ]

null

AxonDeepSeg/segment.py

sophie685/newfileplzworklord

fbbb03c44dc9e4b0409364b49265f453ac80d3c0

[ "MIT" ]

8

2020-09-26T00:42:19.000Z

2022-02-10T00:41:55.000Z

AxonDeepSeg/segment.py

sophie685/newfileplzworklord

fbbb03c44dc9e4b0409364b49265f453ac80d3c0

[ "MIT" ]

null

# Segmentation script # ------------------- # This script lets the user segment automatically one or many images based on the default segmentation models: SEM or # TEM. # # Maxime Wabartha - 2017-08-30 # Imports import sys from pathlib import Path import json import argparse from argparse import RawTextHelpFormatter...

45.075472

202

0.604071

2,238

19,112

4.950402

0.162198

0.024822

0.023017

0.03114

0.489936

0.465927

0.428739

0.399404

0.395884

0.394801

0

0.006514

0.317235

19,112

423

203

45.182033

0.842517

0.203118

0

0.341667

0

0.029167

0.21826

0.023843

0

1

0.025

false

0

0.045833

0

0.091667

0.045833

0

null

0

null

0

1

0

ed0176bb36b001f6300ef33bd058b934c1c2ff34

2,022

py

Python

spacy_transformers/tests/regression/test_spacy_issue6401.py

KennethEnevoldsen/spacy-transformers

fa39a94ba276ae3681d14a4b376ea50fadd574b3

[ "MIT" ]

null

spacy_transformers/tests/regression/test_spacy_issue6401.py

KennethEnevoldsen/spacy-transformers

fa39a94ba276ae3681d14a4b376ea50fadd574b3

[ "MIT" ]

null

spacy_transformers/tests/regression/test_spacy_issue6401.py

KennethEnevoldsen/spacy-transformers

fa39a94ba276ae3681d14a4b376ea50fadd574b3

[ "MIT" ]

null

import pytest from spacy.training.example import Example from spacy.util import make_tempdir from spacy import util from thinc.api import Config TRAIN_DATA = [ ("I'm so happy.", {"cats": {"POSITIVE": 1.0, "NEGATIVE": 0.0}}), ("I'm so angry", {"cats": {"POSITIVE": 0.0, "NEGATIVE": 1.0}}), ] cfg_string = """ ...

29.304348

85

0.678536

263

2,022

5.087452

0.498099

0.050822

0.049327

0.043348

0.058296

0

0.017359

0.202275

2,022

68

86

29.735294

0.812151

0.124629

0

0.381766

0.125356

0

0.042553

1

0.021277

false

0

0.106383

0

0.12766

0

null

0

null

0

1

0

ed0376f91f0c41a8fa993fc5f6223d8bbb5eb7cb

712

py

Python

hydra/client/repl.py

rpacholek/hydra

60e3c2eec5ab1fd1dde8e510baa5175173c66a6a

[ "MIT" ]

null

hydra/client/repl.py

rpacholek/hydra

60e3c2eec5ab1fd1dde8e510baa5175173c66a6a

[ "MIT" ]

null

hydra/client/repl.py

rpacholek/hydra

60e3c2eec5ab1fd1dde8e510baa5175173c66a6a

[ "MIT" ]

null

import asyncio from ..core.common.io import input from .action_creator import ActionCreator class REPL: def __init__(self, action_queue, config, *args, **kwargs): self.action_queue = action_queue self.config = config async def run(self): await asyncio.sleep(1) print("Insert c...

28.48

62

0.58427

79

712

5.063291

0.531646

0.11

0.1125

0

0.002088

0.327247

712

24

63

29.666667

0.832985

0

0.026685

0

1

0.05

false

0

0.15

0

0.25

0.05

0

null

0

null

0

1

0

ed037d47b7c87bc348767b05b7307204b77059ed

35,606

py

Python

train_dv3.py

drat/Neural-Voice-Cloning-With-Few-Samples

4febde43ccc143fc88d74d5fa0c5a117636778b4

[ "MIT" ]

361

2018-08-17T14:37:29.000Z

2022-03-15T13:04:16.000Z

train_dv3.py

drat/Neural-Voice-Cloning-With-Few-Samples

4febde43ccc143fc88d74d5fa0c5a117636778b4

[ "MIT" ]

22

2018-11-25T13:42:26.000Z

2020-04-29T05:16:25.000Z

train_dv3.py

drat/Neural-Voice-Cloning-With-Few-Samples

4febde43ccc143fc88d74d5fa0c5a117636778b4

[ "MIT" ]

121

2018-08-30T03:53:09.000Z

2022-03-25T09:03:17.000Z

"""Trainining script for seq2seq text-to-speech synthesis model. usage: train.py [options] options: --data-root=<dir> Directory contains preprocessed features. --checkpoint-dir=<dir> Directory where to save model checkpoints [default: checkpoints]. --hparams=<parmas> Hyper param...

37.559072

102

0.63068

4,493

35,606

4.747162

0.123303

0.022036

0.008861

0.006329

0.29992

0.235313

0.180459

0.162736

0.140935

0.112664

0

0.011365

0.26855

35,606

947

103

37.598733

0.807595

0.074173

0

0.201175

0

0.061081

0.007974

0

0.017621

1

0.054332

false

0.002937

0.045521

0.008811

0.148311

0.023495

0

null

0

null

0

1

0

ed04e3a19994480a40ef35eabbb8a7e09343ee2c

8,898

py

Python

audio_som64_u_grupo1.py

andremsouza/swine_sound_analysis

5583bf91b18e8ad2dcaccb30a94c134e2eab34a5

[ "MIT" ]

null

audio_som64_u_grupo1.py

andremsouza/swine_sound_analysis

5583bf91b18e8ad2dcaccb30a94c134e2eab34a5

[ "MIT" ]

1

2021-01-20T01:56:42.000Z

audio_som64_u_grupo1.py

andremsouza/swine_sound_analysis

5583bf91b18e8ad2dcaccb30a94c134e2eab34a5

[ "MIT" ]

null

# %% [markdown] # # Testing python-som with audio dataset # %% [markdown] # # Imports # %% import matplotlib.pyplot as plt # import librosa as lr # import librosa.display as lrdisp import numpy as np import pandas as pd import pickle import seaborn as sns import sklearn.preprocessing from python_som import SOM FILE...

30.682759

80

0.615532

1,250

8,898

4.2336

0.22

0.020786

0.030234

0.031746

0.552154

0.522676

0.494709

0.479592

0.444444

0.427438

0

0.02194

0.211171

8,898

289

81

30.788927

0.732013

0.13947

0

0.512438

0

0.142462

0.053374

0

1

0

false

0

0.034826

0

0.034826

0.029851

0

null

0

null

0

1

0

ed06ae9dc5fa12b66e8b0650821700fcf43fb094

2,286

py

Python

bindings/pydeck/docs/scripts/embed_examples.py

marsupialmarcos/deck.gl

c9867c1db87e492253865353f68c985019c7c613

[ "MIT" ]

2

2021-08-11T08:05:51.000Z

2021-08-11T08:05:54.000Z

bindings/pydeck/docs/scripts/embed_examples.py

marsupialmarcos/deck.gl

c9867c1db87e492253865353f68c985019c7c613

[ "MIT" ]

null

bindings/pydeck/docs/scripts/embed_examples.py

marsupialmarcos/deck.gl

c9867c1db87e492253865353f68c985019c7c613

[ "MIT" ]

null

"""Script to embed pydeck examples into .rst pages with code These populate the files you see once you click into a grid cell on the pydeck gallery page """ from multiprocessing import Pool import os import subprocess import sys from const import DECKGL_URL_BASE, EXAMPLE_GLOB, GALLERY_DIR, HTML_DIR, HOSTED_STATIC_PAT...

35.169231

106

0.71916

343

2,286

4.48688

0.399417

0.059129

0.066277

0.081871

0.02729

0

0.000542

0.192476

2,286

64

107

35.71875

0.833153

0.185477

0

0.089141

0

1

0.045455

false

0

0.159091

0

0.204545

0.022727

0

null

0

null

0

1

0

ed0721912431ef604f57495e6aa85dbb0102f18a

45,482

py

Python

symbolicR/python/forward_kin.py

mharding01/augmented-neuromuscular-RT-running

7e1ef00d3fdf9cfa9d59fc4f3a6a0e6dd792a834

[ "MIT" ]

null

symbolicR/python/forward_kin.py

mharding01/augmented-neuromuscular-RT-running

7e1ef00d3fdf9cfa9d59fc4f3a6a0e6dd792a834

[ "MIT" ]

null

symbolicR/python/forward_kin.py

mharding01/augmented-neuromuscular-RT-running

7e1ef00d3fdf9cfa9d59fc4f3a6a0e6dd792a834

[ "MIT" ]

null

import numpy as np import sympy as sp import re import os ###################### # # # 17 16 21 # # 18 15 22 # # 19 14 23 # # 20 01 24 # # 02 08 # # 03 09 # # 04 10 # # 05 11 # # 06 12 # # 07...

32.348506

189

0.633767

8,305

45,482

3.231788

0.047562

0.083458

0.123398

0.068294

0.722392

0.664791

0.587928

0.553279

0.52038

0.481371

0

0.03719

0.178224

45,482

1,405

190

32.37153

0.680918

0.093641

0

0.433637

0

0.002026

0.215947

0.026066

0

1

0.032421

false

0

0.004053

0.001013

0.067882

0.092199

0

null

0

null

0

1

0

ed07be5c12830ff2ea484a69a77d31923d6aa5cb

1,223

py

Python

examples/last.py

0xiso/PyMISP

20a340414422714dcf31389957343c663550ed1a

[ "BSD-2-Clause" ]

5

2019-08-12T15:21:00.000Z

2021-10-01T01:50:52.000Z

examples/last.py

DragonDev1906/PyMISP

5c72dc9c33b4ae850d40ff06dfb05c27f3e80e5d

[ "BSD-2-Clause" ]

null

examples/last.py

DragonDev1906/PyMISP

5c72dc9c33b4ae850d40ff06dfb05c27f3e80e5d

[ "BSD-2-Clause" ]

3

2018-11-22T15:33:16.000Z

2019-09-02T14:23:35.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from pymisp import PyMISP from keys import misp_url, misp_key, misp_verifycert import argparse import os import json # Usage for pipe masters: ./last.py -l 5h | jq . def init(url, key): return PyMISP(url, key, misp_verifycert, 'json') def download_last(m, last, o...

27.795455

133

0.644317

175

1,223

4.388571

0.52

0.046875

0.028646

0.036458

0

0.009484

0.224039

1,223

43

134

28.44186

0.799789

0.072772

0

0.142857

0

0.216622

0

1

0.071429

false

0

0.178571

0.035714

0.285714

0.107143

0

null

0

null

0

1

0

ed0cbfaf8410cb124a4ef21f7ca9796ba91008fc

1,146

py

Python

experiments/CUB_fewshot_raw/FRN/ResNet-12/train.py

Jf-Chen/FRN-main

5b57b9e0d7368058a8e3ba41a53c460b54ab9b91

[ "MIT" ]

43

2021-04-27T23:42:35.000Z

2022-03-30T02:41:19.000Z

experiments/CUB_fewshot_raw/FRN/ResNet-12/train.py

Jf-Chen/FRN-main

5b57b9e0d7368058a8e3ba41a53c460b54ab9b91

[ "MIT" ]

7

2021-05-31T10:38:17.000Z

2022-01-06T05:20:08.000Z

experiments/CUB_fewshot_raw/FRN/ResNet-12/train.py

Jf-Chen/FRN-main

5b57b9e0d7368058a8e3ba41a53c460b54ab9b91

[ "MIT" ]

7

2021-05-18T00:37:46.000Z

2022-01-23T07:09:51.000Z

import os import sys import torch import yaml from functools import partial sys.path.append('../../../../') from trainers import trainer, frn_train from datasets import dataloaders from models.FRN import FRN args = trainer.train_parser() with open('../../../../config.yml', 'r') as f: temp = yaml.safe_load(f) data...

30.157895

89

0.666667

153

1,146

4.745098

0.339869

0.086777

0.053719

0.046832

0.121212

0

0.22164

1,146

38

90

30.157895

0.813901

0

0.051439

0.01918

0

1

0

false

0

0.285714

0

0.285714

0

null

0

null

0

1

0

ed0d0fb11e355951942a4b93a958119ead61c53e

6,037

py

Python

exp/DFRdatasets/simulate.py

zzzace2000/dropout-feature-rankin

7769ce822f3c0a6d23167d11f1569f59e56b1266

[ "CC-BY-4.0" ]

6

2019-02-24T07:31:38.000Z

2021-12-27T08:57:38.000Z

exp/DFRdatasets/simulate.py

zzzace2000/dropout-feature-rankin

7769ce822f3c0a6d23167d11f1569f59e56b1266

[ "CC-BY-4.0" ]

2

2019-01-13T11:49:35.000Z

2020-05-18T01:59:15.000Z

exp/DFRdatasets/simulate.py

zzzace2000/dropout-feature-rankin

7769ce822f3c0a6d23167d11f1569f59e56b1266

[ "CC-BY-4.0" ]

6

2018-11-06T14:17:07.000Z

2021-11-06T14:30:10.000Z

import argparse import argparse import os import numpy as np import torch from dataloaders.LoaderBase import LoaderBase import exp.feature.feature_utils as feature_utils def run_with_identifier(unit, corr_val, datasize, rank_names, loader, show_ols=True): loader.clear_cache() # Ex: 'nn_rank:0.01'. Then ext...

41.068027

98

0.629617

766

6,037

4.723238

0.244125

0.059701

0.112769

0.024876

0.247651

0.204533

0.16639

0.077944

0.050857

0

0.019533

0.219811

6,037

146

99

41.349315

0.74862

0.186848

0

0.059406

0

0.155956

0.014327

0

1

0.029703

false

0

0.069307

0

0.118812

0.049505

0

null

0

null

0

1

0

ed0ede6f5172ebc43a6bba82ff98dc80379f3c8f

10,696

py

Python

ucsmsdk/mometa/adaptor/AdaptorMenloQStats.py

thinkitdata/ucsmsdk

da6599e1dbc1207a30eabe548a7e5791af5f476b

[ "Apache-2.0" ]

null

ucsmsdk/mometa/adaptor/AdaptorMenloQStats.py

thinkitdata/ucsmsdk

da6599e1dbc1207a30eabe548a7e5791af5f476b

[ "Apache-2.0" ]

null

ucsmsdk/mometa/adaptor/AdaptorMenloQStats.py

thinkitdata/ucsmsdk

da6599e1dbc1207a30eabe548a7e5791af5f476b

[ "Apache-2.0" ]

null

"""This module contains the general information for AdaptorMenloQStats ManagedObject.""" from ...ucsmo import ManagedObject from ...ucscoremeta import MoPropertyMeta, MoMeta from ...ucsmeta import VersionMeta class AdaptorMenloQStatsConsts: MENLO_QUEUE_COMPONENT_N = "N" MENLO_QUEUE_COMPONENT_CPU = "cpu" ...

76.94964

277

0.708022

1,159

10,696

6.181191

0.120794

0.094919

0.092127

0.156337

0.551787

0.393774

0.299693

0.294668

0.293132

0.266611

0

0.031715

0.150991

10,696

138

278

77.507246

0.757185

0.010845

0

0.032

0.345066

0.223768

0

0.001135

0

1

0.008

false

0

0.024

0

0.216

0

null

0

null

0

1

0

ed10c3db0c256d5bebae34542a471bf7c8fc94ae

6,829

py

Python

src/RS_model/train_mlp.py

CindyChen1995/MKR

f9ae37903dcf43b6d101dfc08644ce4a29ecbf9d

[ "MIT" ]

null

src/RS_model/train_mlp.py

CindyChen1995/MKR

f9ae37903dcf43b6d101dfc08644ce4a29ecbf9d

[ "MIT" ]

null

src/RS_model/train_mlp.py

CindyChen1995/MKR

f9ae37903dcf43b6d101dfc08644ce4a29ecbf9d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ ------------------------------------------------- Description : Author : cmy date： 2020/1/2 ------------------------------------------------- """ import datetime import heapq import numpy as np import tensorflow as tf import time from metrics import ndcg_at_k from tr...

41.387879

130

0.516767

912

6,829

3.623904

0.174342

0.02118

0.030257

0.019062

0.273828

0.24115

0.214826

0.209985

0.16944

0.137368

0

0.020215

0.333577

6,829

165

131

41.387879

0.705999

0.086689

0

0.117188

0

0.007813

0.055779

0.005465

0.03125

0

1

0.023438

false

0

0.070313

0

0.109375

0.132813

0

null

0

null

0

1

0

ed12384bdaa43735e81fa807c26ed334db11e7a1

84,211

py

Python

pylipid.py

glass-w/PyLipID

ee29f92ba6187cd22b9554a599177152ebed9c4c

[ "MIT" ]

null

pylipid.py

glass-w/PyLipID

ee29f92ba6187cd22b9554a599177152ebed9c4c

[ "MIT" ]

null

pylipid.py

glass-w/PyLipID

ee29f92ba6187cd22b9554a599177152ebed9c4c

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Aug 28 19:28:17 2019 @author: Wanling Song """ import mdtraj as md import numpy as np import pandas as pd import argparse import sys from collections import defaultdict import pickle import os import matplotlib matplotlib.use('Agg') import matplotlib.p...

62.332346

227

0.574723

10,588

84,211

4.346713

0.090008

0.01408

0.013558

0.007648

0.494405

0.426287

0.361102

0.310171

0.283467

0.253851

0

0.020265

0.274537

84,211

1,350

228

62.378519

0.733075

0.018941

0

0.20678

0

0.033898

0.129863

0.026538

0

0.000847

1

0.014407

false

0

0.026271

0.000847

0.058475

0.004237

0

null

0

null

0

1

0

ed123b848cc69e55c673d2f62ec3999397f7c2b8

547

py

Python

main.py

yaakiyu/rt-bot

f68bca95c516e08c31ecc846524dcea4c8ba1503

[ "BSD-4-Clause" ]

null

main.py

yaakiyu/rt-bot

f68bca95c516e08c31ecc846524dcea4c8ba1503

[ "BSD-4-Clause" ]

null

main.py

yaakiyu/rt-bot

f68bca95c516e08c31ecc846524dcea4c8ba1503

[ "BSD-4-Clause" ]

null

# RT by Rext from asyncio import run from discord import Intents, Status, Game, AllowedMentions from core.bot import RT from data import SECRET try: from uvloop import install except ModuleNotFoundError: ... else: install() intents = Intents.default() intents.message_content = True intents.members = True bot = RT...

21.038462

70

0.753199

72

547

5.694444

0.569444

0.063415

0

0.131627

547

26

71

21.038462

0.863158

0.018282

0

0.044776

0

1

0

false

0

0.294118

0

0.294118

0.117647

0

null

0

null

0

1

0

ed1329b2789d579e2ef82e7b330a86a58150d0b6

13,014

py

Python

hiplot/fetchers_demo.py

dmitryvinn/hiplot

52fe8b195a4e254240eb1a0847953fa3c1957a43

[ "MIT" ]

1

2022-03-21T15:46:17.000Z

hiplot/fetchers_demo.py

ai2ys/hiplot

148f7c4eba11c6393957a819169f3cf07c469bec

[ "MIT" ]

null

hiplot/fetchers_demo.py

ai2ys/hiplot

148f7c4eba11c6393957a819169f3cf07c469bec

[ "MIT" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import uuid import random import math import time import typing as t from . import experiment as hip # Demos from the README. If one of those ...

34.247368

140

0.593592

1,749

13,014

4.242424

0.171527

0.070081

0.029784

0.043801

0.336388

0.189084

0.14434

0.1031

0.081536

0.058625

0

0.03507

0.250653

13,014

379

141

34.337731

0.7258

0.08245

0

0.216949

0

0.159039

0.025863

0

0.00339

1

0.084746

false

0

0.020339

0.189831

0

null

0

null

0

1

0

ed14a6749afbe24501971f360abe8e3e8754902d

423

py

Python

barcode.py

kallangerard/grocery-barcode-scanner

0a866c5b20c43355b642c0b78ba09d5cf4b0383c

[ "MIT" ]

null

barcode.py

kallangerard/grocery-barcode-scanner

0a866c5b20c43355b642c0b78ba09d5cf4b0383c

[ "MIT" ]

null

barcode.py

kallangerard/grocery-barcode-scanner

0a866c5b20c43355b642c0b78ba09d5cf4b0383c

[ "MIT" ]

null

import logging import groceries.api as groceries import barcodescanner.scan as barcode def main(): grocy = groceries.GrocyAPIClient() while True: scanner = barcode.Scan() line = scanner.PollScanner() if line != None: response = grocy.consume_barcode(line) loggin...

22.263158

50

0.65721

45

423

5.977778

0.555556

0.089219

0

0.248227

423

18

51

23.5

0.845912

0

0.018913

0

1

0.071429

false

0

0.214286

0

0.285714

0

null

0

null

0

1

0

ed152979dba20d65fa46d571939edbfd7eb69a09

790

py

Python

setup.py

mr-sk/easy-icm-runner

01cf9d7d8e4ef13afc18dbdda2862035121f3624

[ "MIT" ]

null

setup.py

mr-sk/easy-icm-runner

01cf9d7d8e4ef13afc18dbdda2862035121f3624

[ "MIT" ]

null

setup.py

mr-sk/easy-icm-runner

01cf9d7d8e4ef13afc18dbdda2862035121f3624

[ "MIT" ]

null

import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="easy-icm-runner", version="1.0.6", author="Bachir El Koussa", author_email="bgkoussa@gmail.com", description="A wrapper for IBM ICMs Scheduler API Calls", long_description=long_descrip...

30.384615

93

0.641772

89

790

5.573034

0.752809

0.120968

0.052419

0.120968

0

0.006319

0.198734

790

25

94

31.6

0.777251

0.111392

0

0.090909

0

0.419401

0

1

0

false

0

0.045455

0

0.045455

0

null

0

null

0

1

0

ed17f5890d6b8f37c6b6d897dfdeee0fd244dace

544

py

Python

config.py

lyth031/ptb_lm

71f687fdf41c6b981a306269c1341ea8a8347bb6

[ "MIT" ]

null

config.py

lyth031/ptb_lm

71f687fdf41c6b981a306269c1341ea8a8347bb6

[ "MIT" ]

null

config.py

lyth031/ptb_lm

71f687fdf41c6b981a306269c1341ea8a8347bb6

[ "MIT" ]

null

# -*- coding: utf-8 -*- class Config(object): def __init__(self): self.init_scale = 0.1 self.learning_rate = 1.0 self.max_grad_norm = 5 self.num_layers = 2 self.slice_size = 30 self.hidden_size = 200 self.max_epoch = 13 self.keep_prob = 0.8 se...

24.727273

44

0.549632

77

544

3.61039

0.597403

0.05036

0.071942

0

0.071625

0.332721

544

21

45

25.904762

0.694215

0.038603

0

0.052023

0

1

0.058824

false

0

0.117647

0

null

0

null

0

1

0

ed1909657faffd879b4424a3c02025a1afc7ff54

1,272

py

Python

pymel/__init__.py

GlenWalker/pymel

8b69b72e1bb726a66792707af39626a987bf5c21

[ "BSD-3-Clause" ]

null

pymel/__init__.py

GlenWalker/pymel

8b69b72e1bb726a66792707af39626a987bf5c21

[ "BSD-3-Clause" ]

null

pymel/__init__.py

GlenWalker/pymel

8b69b72e1bb726a66792707af39626a987bf5c21

[ "BSD-3-Clause" ]

null

# copyright Chad Dombrova chadd@luma-pictures.com # created at luma pictures www.luma-pictures.com """ ******************************* PyMEL ******************************* PyMEL makes python scripting in Maya work the way it should. Maya's command module is a direct translation of MEL commands into p...

37.411765

116

0.676887

166

1,272

5

0.668675

0.057831

0.036145

0

0.011132

0.152516

1,272

33

117

38.545455

0.758813

0.71305

0

0.342776

0

0.166667

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

ed1aeb45638b0f4e22adf71d2445a7c3b1908ff3

3,121

py

Python

Fusion/deltat.py

coylen/pySG

6af1b8387c256f8898e2198c635c8e4b72ec3942

[ "MIT" ]

264

2015-10-07T19:31:15.000Z

2022-03-31T23:34:59.000Z

deltat.py

CharlesAO/micropython-fusion

fe72a6870357c8f9b1cae78b98564412382943d9

[ "MIT" ]

14

2015-11-13T02:40:30.000Z

2022-01-22T10:44:48.000Z

deltat.py

CharlesAO/micropython-fusion

fe72a6870357c8f9b1cae78b98564412382943d9

[ "MIT" ]

75

2015-12-12T00:26:28.000Z

2022-03-23T13:32:30.000Z

# deltat.py time difference calculation for sensor fusion # Released under the MIT License (MIT) # Copyright (c) 2018 Peter Hinch # Provides TimeDiff function and DeltaT class. # The following notes cover special cases. Where the device performing fusion # is linked to the IMU and is running MicroPython no special tre...

41.065789

97

0.707786

451

3,121

4.831486

0.379157

0.024782

0.035796

0.018357

0.079853

0.029371

0

0.012236

0.240628

3,121

75

98

41.613333

0.907173

0.621275

0

0.25

0

0.121951

0

1

0.0625

false

0

0.09375

0

0.25

0

null

0

null

0

1

0

ed1b14ee7367d8cae14cb322f5cd81df68be3c15

11,336

py

Python

colour/models/rgb/datasets/sony.py

wenh06/colour

445fdad2711ae39c95b4375166905568d24a95f4

[ "BSD-3-Clause" ]

1

2021-09-09T01:53:40.000Z

colour/models/rgb/datasets/sony.py

wenh06/colour

445fdad2711ae39c95b4375166905568d24a95f4

[ "BSD-3-Clause" ]

null

colour/models/rgb/datasets/sony.py

wenh06/colour

445fdad2711ae39c95b4375166905568d24a95f4

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Sony Colourspaces ================= Defines the *Sony* colourspaces: - :attr:`colour.models.RGB_COLOURSPACE_S_GAMUT`. - :attr:`colour.models.RGB_COLOURSPACE_S_GAMUT3`. - :attr:`colour.models.RGB_COLOURSPACE_S_GAMUT3_CINE`. - :attr:`colour.models.RGB_COLOURSPACE_VENICE_S_GAMUT3`. - ...

28.918367

81

0.763585

1,548

11,336

5.144703

0.152455

0.123933

0.117529

0.076846

0.728152

0.681065

0.549724

0.464591

0.34003

0.257785

0

0.097827

0.119001

11,336

391

82

28.992327

0.699609

0.188691

0

0.176136

0

0.272826

0.169164

0

1

0

false

0

0.022727

0

0.022727

0

null

0

null

0

1

0

ed1b3de2cf4ee0d6a94657c3843653ea66d9ad27

723

py

Python

network.py

QiaoZhongzheng/EWC-sample-PMNIST

cd5e10b401582ab7f0dcd7a1e38aed6552192484

[ "MIT" ]

null

network.py

QiaoZhongzheng/EWC-sample-PMNIST

cd5e10b401582ab7f0dcd7a1e38aed6552192484

[ "MIT" ]

null

network.py

QiaoZhongzheng/EWC-sample-PMNIST

cd5e10b401582ab7f0dcd7a1e38aed6552192484

[ "MIT" ]

null

# -*- coding: UTF-8 -*- '''================================================= @Project -> File ：EWC -> network @IDE ：PyCharm @Author ：Qiao Zhongzheng @Date ：2021/6/23 20:28 @Desc ： ==================================================''' from tensorflow.keras import Model from tensorflow.keras.layers import Dense,...

36.15

83

0.562932

85

723

4.788235

0.576471

0.07371

0.081081

0.09828

0.275184

0

0.05475

0.141079

723

20

84

36.15

0.600644

0.477178

0

0.072973

0

1

0.125

false

0

0.25

0

0.5

0

null

0

null

0

1

0

ed1ce2b7ae05d6c1c0bdabe48547eeeb53fe25e1

1,949

py

Python

src/deep_dialog/usersims/usersim.py

CommissarSilver/TC-Bot

4579706a18028b5da9b8a7807fb2e2d4043dcaf8

[ "MIT" ]

1

2021-05-29T01:32:49.000Z

D3Q/src/deep_dialog/usersims/usersim.py

Yuqing2018/D3Q_Python3

2a9918494e3f0ed18f9b7560b1e6f13119fbee91

[ "MIT" ]

null

D3Q/src/deep_dialog/usersims/usersim.py

Yuqing2018/D3Q_Python3

2a9918494e3f0ed18f9b7560b1e6f13119fbee91

[ "MIT" ]

null

""" Created on June 7, 2016 a rule-based user simulator @author: xiul, t-zalipt """ import random class UserSimulator: """ Parent class for all user sims to inherit from """ def __init__(self, movie_dict=None, act_set=None, slot_set=None, start_set=None, params=None): """ Construc...

30.453125

99

0.606978

248

1,949

4.443548

0.358871

0.072595

0.036298

0.027223

0.058076

0

0.005109

0.297075

1,949

64

100

30.453125

0.79927

0.146742

0

0.09834

0.014049

0

0.032258

1

0.193548

false

0.032258

0

0.290323

0.032258

0

null

0

null

0

1

0

ed2176e9a9c0aa2fe888859654d1422302e6cce3

325

py

Python

hackerrank/Algorithms/Correctness and the Loop Invariant/solution.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

4

2020-07-24T01:59:50.000Z

2021-07-24T15:14:08.000Z

hackerrank/Algorithms/Correctness and the Loop Invariant/solution.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

null

hackerrank/Algorithms/Correctness and the Loop Invariant/solution.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

null

def insertion_sort(l): for i in range(1, len(l)): j = i - 1 key = l[i] while (j >= 0) and (l[j] > key): l[j + 1] = l[j] j -= 1 l[j + 1] = key m = int(input().strip()) ar = [int(i) for i in input().strip().split()] insertion_sort(ar) print(" ".join(map(str, a...

21.666667

46

0.443077

56

325

2.535714

0.446429

0.070423

0.084507

0.056338

0

0.028169

0.344615

325

14

47

23.214286

0.638498

0

0.003077

0

1

0.083333

false

0

0.083333

0

null

0

null

0

1

0

ed2393de8d1d80d0e5b9c6610dd11fbf42e62a83

18,305

py

Python

tests/scripts/thread-cert/thread_cert.py

lmaciejonczyk/openthread

9ca79ddd9af3d4e3f78cb6e611a3117a71b2198c

[ "BSD-3-Clause" ]

null

tests/scripts/thread-cert/thread_cert.py

lmaciejonczyk/openthread

9ca79ddd9af3d4e3f78cb6e611a3117a71b2198c

[ "BSD-3-Clause" ]

null

tests/scripts/thread-cert/thread_cert.py

lmaciejonczyk/openthread

9ca79ddd9af3d4e3f78cb6e611a3117a71b2198c

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # # Copyright (c) 2019, The OpenThread Authors. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # 1. Redistributions of source code must retain the above copyright # ...

36.536926

170

0.607648

2,163

18,305

4.90846

0.218215

0.030517

0.021663

0.023265

0.233776

0.178864

0.144862

0.107469

0.076575

0

0.005246

0.291887

18,305

500

171

36.61

0.81384

0.138978

0

0.164671

0

0.008982

0.13348

0.024599

0

0.001554

0

0.011976

1

0.092814

false

0.005988

0.047904

0.002994

0.203593

0.011976

0

null

0

null

0

1

0

ed242bad81da2f05250a803d492c40b86c9b59d3

1,770

py

Python

FaceMaskDetection with webcam.py

Anurag-Varma/facemask-detection

9ac681261e246e6ab1837c576d933dc7324e3a92

[ "MIT" ]

1

2021-07-13T09:16:12.000Z

FaceMaskDetection with webcam.py

Anurag-Varma/facemask-detection

9ac681261e246e6ab1837c576d933dc7324e3a92

[ "MIT" ]

null

FaceMaskDetection with webcam.py

Anurag-Varma/facemask-detection

9ac681261e246e6ab1837c576d933dc7324e3a92

[ "MIT" ]

null

import cv2 import numpy as np from keras.models import model_from_json from keras.preprocessing.image import img_to_array #load model model = model_from_json(open("fer.json", "r").read()) #change the path accoring to files #load weights model.load_weights('fer.h5') #change the path accor...

28.095238

124

0.641243

275

1,770

4.043636

0.454545

0.024281

0.035072

0.056655

0.091727

0.07554

0

0.055914

0.211864

1,770

63

125

28.095238

0.741219

0.092655

0

0.088806

0.036273

0

1

0

false

0

0.090909

0

0.090909

0.068182

0

null

0

null

0

1

0

ed24c0adb8cc7ebd6871903b985fa571a276f939

5,391

py

Python

toggl.py

ulrikpedersen/toggl-gnome-applet

ae48358414d14d44ef5731c59f1813bac97e3257

[ "Unlicense" ]

null

toggl.py

ulrikpedersen/toggl-gnome-applet

ae48358414d14d44ef5731c59f1813bac97e3257

[ "Unlicense" ]

1

2017-11-21T09:36:06.000Z

toggl.py

ulrikpedersen/toggl-gnome-applet

ae48358414d14d44ef5731c59f1813bac97e3257

[ "Unlicense" ]

null

#!/usr/bin/env python import logging from datetime import datetime logging.basicConfig(level=logging.WARNING) import os import urllib2, base64, json import dateutil.parser def from_ISO8601( str_iso8601 ): return dateutil.parser.parse(str_iso8601) def to_ISO8601( timestamp ): return timestamp.isoformat() de...

38.234043

116

0.586533

682

5,391

4.472141

0.280059

0.034426

0.047213

0.034426

0.218689

0.179016

0.127541

0.105246

0.069836

0

0.01632

0.295307

5,391

141

117

38.234043

0.786523

0.148024

0

0.07619

0

0.12829

0.032073

0

0.007092

0

1

0.114286

false

0.019048

0.047619

0.019048

0.27619

0

null

0

null

0

1

0

ed2565f6739ecf83e80e8445b8eb480489832a2d

432

py

Python

gs_divergence/symmetrized_geodesical_skew_divergence.py

ISMHinoLab/geodesical_skew_divergence

293648a30e86bdd14749af5b107f1d3687d67700

[ "MIT" ]

7

2021-04-01T09:21:49.000Z

2022-03-24T05:28:22.000Z

gs_divergence/symmetrized_geodesical_skew_divergence.py

ISMHinoLab/geodesical_skew_divergence

293648a30e86bdd14749af5b107f1d3687d67700

[ "MIT" ]

21

2021-04-01T02:56:54.000Z

2021-05-07T01:02:09.000Z

gs_divergence/symmetrized_geodesical_skew_divergence.py

ISMHinoLab/geodesical_skew_divergence

293648a30e86bdd14749af5b107f1d3687d67700

[ "MIT" ]

2

2021-04-12T15:00:17.000Z

2021-04-26T03:10:26.000Z

from typing import Optional import torch from gs_divergence import gs_div def symmetrized_gs_div( input: torch.Tensor, target: torch.Tensor, alpha: float = -1, lmd: float = 0.5, reduction: Optional[str] = 'sum', ) -> torch.Tensor: lhs = gs_div(input, target, alpha=alpha, lmd=lmd, reduction=re...

24

74

0.680556

61

432

4.721311

0.42623

0.069444

0.111111

0.236111

0

0.011594

0.201389

432

17

75

25.411765

0.823188

0

0.006944

0

1

0.076923

false

0

0.230769

0

0.384615

0

null

0

null

0

1

0

ed25675ecd1960dc8b520c3cb84ff43fb7cab0a0

1,946

py

Python

train.py

kushaliitm/deep-learning

ab8e23d1414d3b79bbe4a3acd57a475f6def7277

[ "MIT" ]

null

train.py

kushaliitm/deep-learning

ab8e23d1414d3b79bbe4a3acd57a475f6def7277

[ "MIT" ]

null

train.py

kushaliitm/deep-learning

ab8e23d1414d3b79bbe4a3acd57a475f6def7277

[ "MIT" ]

null

import argparse import helper as hp import torch import os import json parser = argparse.ArgumentParser(description = 'train.py') parser.add_argument('--data-dir', nargs = '*', action = "store", default = "./flowers/", help = "folder path for data") parser.add_argument('--save-dir', action = "store", required=True, h...

37.423077

155

0.731757

274

1,946

5.058394

0.364964

0.045455

0.085859

0.054834

0

0.009913

0.118705

1,946

51

156

38.156863

0.798251

0.052929

0

0.335874

0.064235

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

ed261100e8ba320319dd45fa75984055274a92f9

11,020

py

Python

models/blip.py

lmathia2/BLIP

8ca42256e83654858856d40886509be8fbca51a7

[ "BSD-3-Clause" ]

null

models/blip.py

lmathia2/BLIP

8ca42256e83654858856d40886509be8fbca51a7

[ "BSD-3-Clause" ]

null

models/blip.py

lmathia2/BLIP

8ca42256e83654858856d40886509be8fbca51a7

[ "BSD-3-Clause" ]

null

''' * Copyright (c) 2022, salesforce.com, inc. * All rights reserved. * SPDX-License-Identifier: BSD-3-Clause * For full license text, see LICENSE.txt file in the repo root or https://opensource.org/licenses/BSD-3-Clause * By Junnan Li ''' import warnings warnings.filterwarnings("ignore") from models.vit import V...

45.916667

128

0.551996

1,169

11,020

4.905902

0.205304

0.023714

0.018134

0.014647

0.506016

0.465911

0.447428

0.433304

0.425981

0.398256

0

0.010323

0.36706

11,020

239

129

46.108787

0.8119

0.062886

0

0.356725

0

0.052467

0.023493

0

0.023392

1

0.064327

false

0

0.05848

0

0.19883

0.005848

0

null

0

null

0

1

0

ed26aa5f1dfa9b893282f08b252dba7679012685

28,524

py

Python

venv/Lib/site-packages/pandas/tests/reshape/merge/test_multi.py

OliviaNabbosa89/Disaster_Responses

1e66d77c303cec685dfc2ca94f4fca4cc9400570

[ "MIT" ]

null

venv/Lib/site-packages/pandas/tests/reshape/merge/test_multi.py

OliviaNabbosa89/Disaster_Responses

1e66d77c303cec685dfc2ca94f4fca4cc9400570

[ "MIT" ]

null

venv/Lib/site-packages/pandas/tests/reshape/merge/test_multi.py

OliviaNabbosa89/Disaster_Responses

1e66d77c303cec685dfc2ca94f4fca4cc9400570

[ "MIT" ]

null

import numpy as np from numpy.random import randn import pytest import pandas as pd from pandas import DataFrame, Index, MultiIndex, Series import pandas._testing as tm from pandas.core.reshape.concat import concat from pandas.core.reshape.merge import merge @pytest.fixture def left(): """left dataf...

33.876485

89

0.425186

3,037

28,524

3.872242

0.128416

0.021769

0.033163

0.045918

0.603401

0.551616

0.504337

0.464456

0.406378

0.375

0

0.088753

0.408673

28,524

841

90

33.916766

0.608466

0.021526

0

0.454412

0

0.099826

0

0.057353

1

0.039706

false

0

0.011765

0.005882

0.064706

0

null

0

null

0

1

0

ed26d3056f6a5641259d87e73533b42ec4832318

11,894

py

Python

test/api/test_histories.py

mmiladi/galaxy

7857b152cd10d9490ac2433ff2905ca1a47ee32c

[ "CC-BY-3.0" ]

1

2021-04-26T08:46:21.000Z

test/api/test_histories.py

mmiladi/galaxy

7857b152cd10d9490ac2433ff2905ca1a47ee32c

[ "CC-BY-3.0" ]

null

test/api/test_histories.py

mmiladi/galaxy

7857b152cd10d9490ac2433ff2905ca1a47ee32c

[ "CC-BY-3.0" ]

1

2018-12-09T13:50:28.000Z

# -*- coding: utf-8 -*- from requests import ( get, post, put ) from base import api # noqa: I100 from base.populators import ( # noqa: I100 DatasetCollectionPopulator, DatasetPopulator, wait_on ) class HistoriesApiTestCase(api.ApiTestCase): def setUp(self): super(HistoriesApiT...

41.442509

105

0.673701

1,443

11,894

5.202356

0.142065

0.098308

0.034634

0.039963

0.465299

0.362195

0.261622

0.234714

0.22126

0.214999

0

0.010303

0.21658

11,894

286

106

41.587413

0.795342

0.040609

0

0.197183

0

0.129092

0.028697

0

0.003497

0.244131

1

0.112676

false

0

0.122066

0.004695

0.28169

0

null

0

null

0

1

0

ed275088d36ba770ab503299abfac84060ea0475

2,136

py

Python

AllProjects/Projects/Spider/DownloadImage.py

CoderXAndZ/PycharmProjects

94b3cc68d39614a4291bd63d4811dab61eb2e64a

[ "MIT" ]

3

2018-08-30T03:53:25.000Z

2020-07-02T09:27:39.000Z

Spider/DownloadImage.py

CoderXAndZ/Python_demo

b1b1067f3ee2de82b4b2678ac9d09a5a0bf7d698

[ "MIT" ]

null

Spider/DownloadImage.py

CoderXAndZ/Python_demo

b1b1067f3ee2de82b4b2678ac9d09a5a0bf7d698

[ "MIT" ]

4

2020-07-01T02:29:33.000Z

2021-06-07T09:32:30.000Z

#! /usr/local/bin/python3 # -*- coding: UTF-8 -*- # 抓取妹子图并存储 import urllib.request import os import random def open_url(url): request = urllib.request.Request(url) request.add_header('User-Agent', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:60.0) Gecko/20100101 Firefox/60.0') ...

24.837209

108

0.586142

303

2,136

4

0.452145

0.066832

0.024752

0.023102

0.107261

0.044554

0

0.050346

0.256086

2,136

86

109

24.837209

0.712398

0.059457

0

0.035088

0

0.017544

0.154732

0

1

0.087719

false

0

0.052632

0

0.192982

0.122807

0

null

0

null

0

1

0

ed2762c6cacc123594407c4391a955c0922acc79

7,324

py

Python

utility/extractor_batch.py

BA-HanseML/NF_Prj_MIMII_Dataset

c9dd130a48c5ee28491a3f9369ace8f7217753d6

[ "MIT" ]

10

2020-08-25T21:12:32.000Z

2021-11-04T22:14:37.000Z

utility/extractor_batch.py

BA-HanseML/NF_Prj_MIMII_Dataset

c9dd130a48c5ee28491a3f9369ace8f7217753d6

[ "MIT" ]

44

2020-05-04T11:37:55.000Z

2021-09-26T04:12:23.000Z

utility/extractor_batch.py

ArneSch/NF_Prj_MIMII_Dataset

c9dd130a48c5ee28491a3f9369ace8f7217753d6

[ "MIT" ]

4

2020-11-24T02:14:13.000Z

2021-07-01T08:52:59.000Z

print('load extractor_batch') # Utility to run multiple feature extraction # diagrams over many files with multiple threats import pandas as pd import os import sys import glob from tqdm.auto import tqdm from queue import Queue from threading import Thread from datetime import datetime import time im...

38.34555

120

0.497679

780

7,324

4.542308

0.297436

0.031047

0.023709

0.031047

0.151284

0.127576

0.099915

0.059272

0.035563

0

0.005068

0.407291

7,324

191

121

38.34555

0.811103

0.087111

0

0.066225

0

0.075973

0.014515

0

1

0.066225

false

0

0.066225

0

0.172185

0.019868

0

null

0

null

0

1

0

ed27ebcd5adfdfd408f83681c96698af5592ab3f

393

py

Python

multitenancy/context_processors.py

cmalek/django-site-multitenancy

1b943f63c0d6247529805e05dcced68ceffa2a69

[ "Apache-2.0" ]

null

multitenancy/context_processors.py

cmalek/django-site-multitenancy

1b943f63c0d6247529805e05dcced68ceffa2a69

[ "Apache-2.0" ]

null

multitenancy/context_processors.py

cmalek/django-site-multitenancy

1b943f63c0d6247529805e05dcced68ceffa2a69

[ "Apache-2.0" ]

null

from .models import Tenant def tenant(request): """ Return context variables required by apps that use django-site-multitenancy. If there is no 'tenant' attribute in the request, extract one from the request. """ if hasattr(request, 'tenant'): tenant = request.tenant else: ten...

24.5625

83

0.6743

49

393

5.387755

0.632653

0.136364

0

0.234097

393

15

84

26.2

0.877076

0.399491

0

0.055556

0

1

0.142857

false

0

0.142857

0

0.428571

0

null

0

null

0

1

0

ed2903bbc29759d94352b5e8a5d0370e20ce8b16

361

py

Python

pset_classes/class_basics/solutions/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

5

2019-04-08T20:05:37.000Z

2019-12-04T20:48:45.000Z

pset_classes/class_basics/solutions/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

8

2019-04-15T15:16:05.000Z

2022-02-12T10:33:32.000Z

pset_classes/class_basics/solutions/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

2

2019-04-10T00:14:42.000Z

2020-02-26T20:35:21.000Z

""" Person class """ # Create a Person class with the following properties # 1. name # 2. age # 3. social security number class Person: def __init__(self, name, age, social_number): self.name = name self.age = age self.social = social_number p1 = Person("John", 36, "111-11-1111") print...

15.695652

53

0.645429

53

361

4.283019

0.490566

0.092511

0

0.064516

0.227147

361

22

54

16.409091

0.749104

0.293629

0

0.061475

0

1

0.111111

false

0

0.222222

0.333333

0

null

0

null

0

1

0

ed29375d22bb9febc1771fb6ca4eaac661a4c75a

19,452

py

Python

python/paddle/fluid/contrib/slim/tests/test_imperative_out_scale.py

huangxu96/Paddle

372ac08a171d76c745deaab0feed2d587798f734

[ "Apache-2.0" ]

null

python/paddle/fluid/contrib/slim/tests/test_imperative_out_scale.py

huangxu96/Paddle

372ac08a171d76c745deaab0feed2d587798f734

[ "Apache-2.0" ]

null

python/paddle/fluid/contrib/slim/tests/test_imperative_out_scale.py

huangxu96/Paddle

372ac08a171d76c745deaab0feed2d587798f734

[ "Apache-2.0" ]

null

# copyright (c) 2018 paddlepaddle 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 app...

38.826347

127

0.585955

2,232

19,452

4.814964

0.177419

0.015074

0.030148

0.036847

0.476226

0.425793

0.381781

0.3494

0.3427

0.311715

0

0.021148

0.316934

19,452

500

128

38.904

0.787687

0.034649

0

0.369412

0

0.07128

0.030389

0

0.018824

1

0.018824

false

0.018824

0.051765

0

0.089412

0.002353

0

null

0

null

0

1

0

ed297c05f15fda89099111b92e19812bf53e5838

4,289

py

Python

grr/server/hunts/results.py

nickamon/grr

ad1936c74728de00db90f6fafa47892b54cfc92d

[ "Apache-2.0" ]

null

grr/server/hunts/results.py

nickamon/grr

ad1936c74728de00db90f6fafa47892b54cfc92d

[ "Apache-2.0" ]

1

2018-05-08T21:15:51.000Z

grr/server/hunts/results.py

nickamon/grr

ad1936c74728de00db90f6fafa47892b54cfc92d

[ "Apache-2.0" ]

null

#!/usr/bin/env python """Classes to store and manage hunt results. """ from grr.lib import rdfvalue from grr.lib import registry from grr.lib.rdfvalues import structs as rdf_structs from grr_response_proto import jobs_pb2 from grr.server import access_control from grr.server import aff4 from grr.server import data_sto...

30.41844

80

0.669853

458

4,289

6.131004

0.362445

0.022436

0.023148

0.027066

0.055556

0

0.010117

0.262532

4,289

140

81

30.635714

0.877648

0.22616

0

0.129032

0

0.009895

0.007421

0

0.007143

0

1

0.075269

false

0.021505

0.096774

0.010753

0.311828

0

null

0

null

0

1

0

ed298e1020b52cd93721c03300f989d51ef1134b

4,748

py

Python

src/simple_sharepoint/site.py

NodeJSmith/py-simple-rest-sharepoint

77ee5f76364e7b6096228945ed7e3bd637214a66

[ "MIT" ]

null

src/simple_sharepoint/site.py

NodeJSmith/py-simple-rest-sharepoint

77ee5f76364e7b6096228945ed7e3bd637214a66

[ "MIT" ]

null

src/simple_sharepoint/site.py

NodeJSmith/py-simple-rest-sharepoint

77ee5f76364e7b6096228945ed7e3bd637214a66

[ "MIT" ]

null

""" Module for higher level SharePoint REST api actions - utilize methods in the api.py module """ class Site(): def __init__(self, sp): self.sp = sp @property def info(self): endpoint = "_api/site" value = self.sp.get(endpoint).json() return value @property def w...

31.03268

116

0.619208

607

4,748

4.680395

0.220758

0.031679

0.034847

0.049278

0.286167

0.248152

0.231257

0.217881

0.18761

0

0.001732

0.270219

4,748

152

117

31.236842

0.818182

0.488627

0

0.476923

0

0.106481

0.02862

0

0.006579

0

1

0.2

false

0

0.015385

0.430769

0

null

0

null

0

1

0

ed2abc9ecde219ec6fc0610ffdc2709ba8c49de3

6,317

py

Python

pypeit/tests/test_metadata.py

rcooke-ast/PYPIT

0cb9c4cb422736b855065a35aefc2bdba6d51dd0

[ "BSD-3-Clause" ]

null

pypeit/tests/test_metadata.py

rcooke-ast/PYPIT

0cb9c4cb422736b855065a35aefc2bdba6d51dd0

[ "BSD-3-Clause" ]

null

pypeit/tests/test_metadata.py

rcooke-ast/PYPIT

0cb9c4cb422736b855065a35aefc2bdba6d51dd0

[ "BSD-3-Clause" ]

null

import os import glob import shutil import yaml from IPython import embed import pytest import numpy as np from pypeit.par.util import parse_pypeit_file from pypeit.pypeitsetup import PypeItSetup from pypeit.tests.tstutils import dev_suite_required, data_path from pypeit.metadata import PypeItMetaData from pypeit.s...

38.054217

97

0.653158

840

6,317

4.671429

0.233333

0.036697

0.030836

0.018349

0.436035

0.407238

0.366972

0.334353

0.298675

0

0.017991

0.199303

6,317

165

98

38.284848

0.757809

0.088175

0

0.386555

0

0.20993

0.013415

0

0.109244

1

0.05042

false

0

0.109244

0

0.159664

0

null

0

null

0

1

0

ed2b4e055e79bf5051229abe9c3b6aceb972d7aa

15,930

py

Python

tortoise/query_utils.py

DDevine/tortoise-orm

414737a78e98ffd247174590720f5c90aeac4dde

[ "Apache-2.0" ]

1

2020-05-15T19:50:12.000Z

tortoise/query_utils.py

Tomes111/tortoise-orm

8b55499a228e44f33fec9099f4d559c77c73beb7

[ "Apache-2.0" ]

null

tortoise/query_utils.py

Tomes111/tortoise-orm

8b55499a228e44f33fec9099f4d559c77c73beb7

[ "Apache-2.0" ]

null

from copy import copy from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Type, cast from pypika import Table from pypika.terms import Criterion from tortoise.exceptions import FieldError, OperationalError from tortoise.fields.relational import BackwardFKRelation, ManyToManyFieldInstance, RelationalFi...

37.748815

101

0.629881

1,825

15,930

5.235068

0.127671

0.035169

0.020724

0.013188

0.388738

0.312539

0.259996

0.181285

0.153548

0.149571

0

0.000868

0.277087

15,930

421

102

37.83848

0.82876

0.107972

0

0.225806

0

0.058002

0.008851

0

0.002375

0

1

0.083871

false

0

0.025806

0.012903

0.225806

0

null

0

null

0

1

0

ed2c2633a7cab56346726bab1085f5ed14b0a1bf

1,372

py

Python

L3_numpy_pandas_2D/B_NumPy_Axis.py

angelmtenor/IDAFC

9d23746fd02e4eda2569d75b3c7a1383277e6e78

[ "MIT" ]

null

L3_numpy_pandas_2D/B_NumPy_Axis.py

angelmtenor/IDAFC

9d23746fd02e4eda2569d75b3c7a1383277e6e78

[ "MIT" ]

null

L3_numpy_pandas_2D/B_NumPy_Axis.py

angelmtenor/IDAFC

9d23746fd02e4eda2569d75b3c7a1383277e6e78

[ "MIT" ]

null

import numpy as np # Change False to True for this block of code to see what it does # NumPy axis argument if True: a = np.array([ [1, 2, 3], [4, 5, 6], [7, 8, 9] ]) print(a.sum()) print(a.sum(axis=0)) print(a.sum(axis=1)) # Subway ridership for 5 stations on 10 different...

28.583333

85

0.652332

217

1,372

4

0.525346

0.0553

0.110599

0.131336

0.198157

0.145161

0.069124

0

0.170616

0.23105

1,372

47

86

29.191489

0.652133

0.35277

0

0.071429

0

1

0.035714

false

0

0.035714

0

0.107143

0.142857

0

null

0

null

0

1

0

ed2e075475e31924b346949bce0058c5690b9443

7,930

py

Python

trainval.py

JanAlexanderPersonal/covid19_weak_supervision

5599e48c9945f1e08a2731740bc8f6e44a031703

[ "Apache-2.0" ]

null

trainval.py

JanAlexanderPersonal/covid19_weak_supervision

5599e48c9945f1e08a2731740bc8f6e44a031703

[ "Apache-2.0" ]

null

trainval.py

JanAlexanderPersonal/covid19_weak_supervision

5599e48c9945f1e08a2731740bc8f6e44a031703

[ "Apache-2.0" ]

null

from haven import haven_chk as hc from haven import haven_results as hr from haven import haven_utils as hu import torch import torchvision import tqdm import pandas as pd import pprint import itertools import os import pylab as plt import exp_configs import time import numpy as np from src import models from src impo...

33.459916

82

0.577427

945

7,930

4.586243

0.212698

0.048454

0.027688

0.043147

0.27665

0.231426

0.209045

0.180434

0.164282

0

0.00367

0.312863

7,930

236

83

33.601695

0.791705

0.100883

0

0.192308

0

0.081653

0

1

0.012821

false

0

0.160256

0

0.173077

0.070513

0

null

0

null

0

1

0

ed2e9fbfce1e8173a04660813facfdf161e513ee

598

py

Python

pyxq/app/__init__.py

goodchinas/pyxq

c7f6ea63084c18178049451f30f32f04080a511c

[ "MIT" ]

4

2019-12-17T11:05:53.000Z

2020-06-01T05:41:02.000Z

pyxq/app/__init__.py

goodchinas/pyxq

c7f6ea63084c18178049451f30f32f04080a511c

[ "MIT" ]

null

pyxq/app/__init__.py

goodchinas/pyxq

c7f6ea63084c18178049451f30f32f04080a511c

[ "MIT" ]

2

2019-11-13T01:11:53.000Z

2019-12-17T10:55:44.000Z

from .. import ba, cb, actor from ..service import account class A0(ba.App): center: cb.CallBackManager a: account.Account def __init__(self, stg: actor.GateWay): a = account.Account() center = cb.CallBackManager() stg.init(a=a, center=center, broker=cb.CallBackManager()) ...

27.181818

87

0.610368

75

598

4.813333

0.306667

0.188366

0.127424

0.077562

0.193906

0

0.002273

0.264214

598

21

88

28.47619

0.818182

0

1

0.117647

false

0

0.117647

0

0.411765

0

null

0

null

0

1

0

ed2f62da1eeae65673f61b0ca0f66640810c94b0

7,802

py

Python

gva/data/validator/__init__.py

gva-jhabte/gva-data

7a605ff01faa3fd38e91a324341d6166f17544a7

[ "Apache-2.0" ]

null

gva/data/validator/__init__.py

gva-jhabte/gva-data

7a605ff01faa3fd38e91a324341d6166f17544a7

[ "Apache-2.0" ]

null

gva/data/validator/__init__.py

gva-jhabte/gva-data

7a605ff01faa3fd38e91a324341d6166f17544a7

[ "Apache-2.0" ]

null

""" Schema Validation Tests a dictionary against a schema to test for conformity. Schema definition is similar to - but not the same as - avro schemas Supported Types: - string - a character sequence - format - numeric - a number - min: - max - date - a datetime.date or...

32.781513

137

0.57575

914

7,802

4.729759

0.218818

0.018506

0.022207

0.020819

0.161925

0.118436

0.09808

0.06477

0.049965

0.044876

0

0.009444

0.30787

7,802

238

138

32.781513

0.791111

0.238529

0

0.2

0

0.007407

0.106748

0

1

0.148148

false

0.007407

0.037037

0.051852

0.414815

0

null

0

null

0

1

0

ed3077484491f3ce68c431839bde2db924a8e7be

2,350

py

Python

fuzzers/ECP5/050-pio_routing/fuzzer.py

umarcor/prjtrellis

9b3db7ba9a02e7d2f49c52ce062d5b22e320004c

[ "MIT" ]

256

2018-03-05T00:28:46.000Z

2022-03-04T22:33:29.000Z

fuzzers/ECP5/050-pio_routing/fuzzer.py

umarcor/prjtrellis

9b3db7ba9a02e7d2f49c52ce062d5b22e320004c

[ "MIT" ]

70

2018-03-12T21:55:02.000Z

2020-06-22T12:06:08.000Z

fuzzers/ECP5/050-pio_routing/fuzzer.py

umarcor/prjtrellis

9b3db7ba9a02e7d2f49c52ce062d5b22e320004c

[ "MIT" ]

68

2018-03-12T21:05:01.000Z

2021-03-14T21:08:33.000Z

from fuzzconfig import FuzzConfig import interconnect import nets import pytrellis import re jobs = [ { "pos": [(47, 0), (48, 0), (49, 0)], "cfg": FuzzConfig(job="PIOROUTEL", family="ECP5", device="LFE5U-45F", ncl="pioroute.ncl", tiles=["MIB_R47C0:PICL0", "MIB_R48C0:PICL1"...

36.71875

109

0.50383

264

2,350

4.32197

0.397727

0.056968

0.070114

0.092025

0.235758

0.205083

0

0.087877

0.336596

2,350

63

110

37.301587

0.644003

0.021277

0

0.035714

0

0.194082

0

1

0.035714

false

0

0.089286

0.017857

0.142857

0

null

0

null

0

1

0

ed32adc4f5470b9099ab1976e987f8994269a9b8

6,841

py

Python

convnet3d/backend/tensorflow_backend.py

yecharlie/convnet3d

0b2771eec149b196ef59b58d09eef71c9b201d40

[ "MIT" ]

6

2020-03-12T10:28:41.000Z

2021-11-18T16:17:20.000Z

convnet3d/backend/tensorflow_backend.py

yecharlie/convnet3d

0b2771eec149b196ef59b58d09eef71c9b201d40

[ "MIT" ]

null

convnet3d/backend/tensorflow_backend.py

yecharlie/convnet3d

0b2771eec149b196ef59b58d09eef71c9b201d40

[ "MIT" ]

1

2019-08-01T02:50:05.000Z

import tensorflow as tf def _is_tensor(x): """Returns `True` if `x` is a symbolic tensor-like object. From http://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/image_ops_impl.py Args: x: A python object to check. Returns: `True` if `x` is a `tf.Tensor` or `tf.Va...

35.630208

217

0.627686

958

6,841

4.325679

0.215031

0.043436

0.034749

0.039093

0.25555

0.215251

0.159266

0.132963

0.080116

0.063224

0

0.013954

0.256249

6,841

191

218

35.816754

0.800511

0.317205

0

0.1

0

0.085962

0.005109

0

0.07

1

0.14

false

0

0.01

0.09

0.32

0

null

0

null

0

1

0

ed333974ac7fc15e4814ac031f495886accd5008

1,169

py

Python

extensions/everywhere.py

cobrab11/black1-bot

47c1a80029d6183fc990960b422bb3155360702d

[ "Apache-2.0" ]

3

2015-10-15T15:40:17.000Z

2021-06-08T05:39:21.000Z

extensions/everywhere.py

cobrab11/black1-bot

47c1a80029d6183fc990960b422bb3155360702d

[ "Apache-2.0" ]

1

2019-04-06T11:54:56.000Z

2019-04-07T00:57:49.000Z

extensions/everywhere.py

cobrab11/black1-bot

47c1a80029d6183fc990960b422bb3155360702d

[ "Apache-2.0" ]

3

2015-10-26T14:49:57.000Z

2018-03-04T15:34:11.000Z

# BS mark.1-55 # /* coding: utf-8 */ # BlackSmith plugin # everywhere_plugin.py # Coded by: WitcherGeralt (WitcherGeralt@jabber.ru) # http://witcher-team.ucoz.ru/ def handler_everywhere(type, source, body): if body: args = body.split() if len(args) >= 2: mtype = args[0].strip().lower() if mtype == u'чат...

27.186047

97

0.637297

154

1,169

4.792208

0.493506

0.081301

0.088076

0.128726

0.135501

0

0.01726

0.207015

1,169

42

98

27.833333

0.778857

0.130026

0

0.21875

0

0.134653

0

1

0.03125

false

0

0.03125

0

null

0

null

0

1

0

ed38d1c43b9d70e3ac1c1d8a3bb7c7068b2ec679

6,946

py

Python

tests/test_azure.py

The-Academic-Observatory/mag-archiver

76988020047b4ab9eb2d125f5141dfa7297a6fb3

[ "Apache-2.0" ]

null

tests/test_azure.py

The-Academic-Observatory/mag-archiver

76988020047b4ab9eb2d125f5141dfa7297a6fb3

[ "Apache-2.0" ]

5

2020-07-22T03:51:17.000Z

2021-08-08T21:56:00.000Z

tests/test_azure.py

The-Academic-Observatory/mag-archiver

76988020047b4ab9eb2d125f5141dfa7297a6fb3

[ "Apache-2.0" ]

1

2020-07-19T22:39:20.000Z

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

39.022472

119

0.662971

829

6,946

5.294331

0.171291

0.145363

0.099111

0.145363

0.536797

0.532695

0.518569

0.467305

0.406471

0.289132

0

0.002527

0.259286

6,946

177

120

39.242938

0.850535

0.145263

0

0.394495

0

0.065615

0.031027

0

0.091743

1

0.100917

false

0

0.045872

0.009174

0.192661

0

null

0

null

0

1

0

ed3a7989a6ca1353a9b8069ec10dfdff872950bd

16,283

py

Python

tensorflow/contrib/framework/python/framework/tensor_util_test.py

uve/tensorflow

e08079463bf43e5963acc41da1f57e95603f8080

[ "Apache-2.0" ]

null

tensorflow/contrib/framework/python/framework/tensor_util_test.py

uve/tensorflow

e08079463bf43e5963acc41da1f57e95603f8080

[ "Apache-2.0" ]

null

tensorflow/contrib/framework/python/framework/tensor_util_test.py

uve/tensorflow

e08079463bf43e5963acc41da1f57e95603f8080

[ "Apache-2.0" ]

null

# Copyright 2016 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...

41.966495

81

0.63772

1,752

16,283

5.591895

0.128425

0.031234

0.036746

0.03103

0.682556

0.568439

0.534653

0.511075

0.480147

0.451159

0

0.021612

0.278204

16,283

387

82

42.074935

0.811963

0.048824

0

0.468553

0

0.023145

0

0.002584

0.141509

1

0.081761

false

0

0.050314

0

0.147799

0.003145

0

null

0

null

0

1

0

ed3b7de286ac4f4bebceec94867062df2dc32542

8,194

py

Python

libs/linux/wpa_cli.py

hpagseddy/ZPUI

b82819e523987639c2dfab417f9895d7cd7ce049

[ "Apache-2.0", "MIT" ]

null

libs/linux/wpa_cli.py

hpagseddy/ZPUI

b82819e523987639c2dfab417f9895d7cd7ce049

[ "Apache-2.0", "MIT" ]

2

2020-01-17T00:44:53.000Z

2020-01-19T21:10:48.000Z

libs/linux/wpa_cli.py

hpagseddy/ZPUI

b82819e523987639c2dfab417f9895d7cd7ce049

[ "Apache-2.0", "MIT" ]

1

2020-01-14T22:44:27.000Z

from subprocess import check_output, CalledProcessError from ast import literal_eval from time import sleep from helpers import setup_logger logger = setup_logger(__name__, "warning") current_interface = None #wpa_cli related functions and objects def wpa_cli_command(*command): run = ["wpa_cli"] if current_...

35.167382

128

0.691726

1,112

8,194

4.880396

0.234712

0.031509

0.02635

0.031509

0.264603

0.199558

0.144831

0.051594

0.036116

0

0.003538

0.206615

8,194

232

129

35.318966

0.831257

0.228948

0

0.156627

0

0.059975

0

0.00431

0

1

0.180723

false

0

0.024096

0.066265

0.391566

0.048193

0

null

0

null

0

1

0

ed3d3135e9d1178c7b64b4da6cccbf9abc64c76d

1,727

py

Python

system/lib/update_musl.py

RyanCargan/emscripten

6d3859f88e1d6394395760153c0a8cfa6a876ac7

[ "MIT" ]

6,541

2019-01-17T22:13:18.000Z

2022-03-31T07:20:21.000Z

system/lib/update_musl.py

RyanCargan/emscripten

6d3859f88e1d6394395760153c0a8cfa6a876ac7

[ "MIT" ]

7,584

2019-01-17T22:58:27.000Z

2022-03-31T23:10:22.000Z

system/lib/update_musl.py

RyanCargan/emscripten

6d3859f88e1d6394395760153c0a8cfa6a876ac7

[ "MIT" ]

1,275

2019-01-19T16:18:04.000Z

2022-03-30T19:32:35.000Z

#!/usr/bin/env python3 # Copyright 2021 The Emscripten Authors. All rights reserved. # Emscripten is available under two separate licenses, the MIT license and the # University of Illinois/NCSA Open Source License. Both these licenses can be # found in the LICENSE file. """Simple script for updating musl from extern...

28.311475

78

0.72264

265

1,727

4.611321

0.596226

0.02455

0.01473

0.026187

0

0.022207

0.165605

1,727

60

79

28.783333

0.825815

0.525188

0

0.176617

0

0.043478

1

0.130435

false

0

0.173913

0.086957

0.391304

0

null

0

null

0

1

0

ed3dd47b74e1445e656b23816bec9c93f6315a3e

3,358

py

Python

src/scout_apm/instruments/pymongo.py

xiamx/scout_apm_python

d03dab45f65cf7d1030e11fabf6da4cf6e72ee59

[ "MIT" ]

null

src/scout_apm/instruments/pymongo.py

xiamx/scout_apm_python

d03dab45f65cf7d1030e11fabf6da4cf6e72ee59

[ "MIT" ]

null

src/scout_apm/instruments/pymongo.py

xiamx/scout_apm_python

d03dab45f65cf7d1030e11fabf6da4cf6e72ee59

[ "MIT" ]

null

from __future__ import absolute_import, division, print_function, unicode_literals import logging # Used in the exec() call below. from scout_apm.core.monkey import monkeypatch_method, unpatch_method # noqa: F401 from scout_apm.core.tracked_request import TrackedRequest # noqa: F401 logger = logging.getLogger(__na...

28.700855

87

0.579512

349

3,358

5.352436

0.361032

0.043362

0.01606

0.043362

0.255353

0.175589

0.139186

0

0.005307

0.326683

3,358

116

88

28.948276

0.820876

0.047647

0

0.21875

0

0.317241

0.040125

0

1

0.041667

false

0

0.114583

0

0.270833

0.010417

0

null

0

null

0

1

0

ed3e5d031590d8e6dff347577131d013386c5855

3,235

py

Python

measures/tests/factories.py

uktrade/tamato

4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca

[ "MIT" ]

14

2020-03-25T11:11:29.000Z

2022-03-08T20:41:33.000Z

measures/tests/factories.py

uktrade/tamato

4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca

[ "MIT" ]

352

2020-03-25T10:42:09.000Z

2022-03-30T15:32:26.000Z

measures/tests/factories.py

uktrade/tamato

4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca

[ "MIT" ]

3

2020-08-06T12:22:41.000Z

2022-01-16T11:51:12.000Z

import random from typing import Optional import factory from common.tests import factories from measures.sheet_importers import MeasureSheetRow class MeasureSheetRowFactory(factory.Factory): """ A factory that produces a row that might be read from a sheet of measures as recognised by the :class:`measu...

37.616279

98

0.681607

379

3,235

5.672823

0.364116

0.037209

0.062791

0.190233

0.152093

0.063256

0

0.000799

0.226584

3,235

85

99

38.058824

0.858513

0.162597

0

0.065574

0

0.112745

0.089367

0

1

0.032787

false

0

0.081967

0

0.393443

0

null

0

null

0

1

0

ed3f22bc9cd6901491dd74a1964aa19636812550

581

py

Python

tools/test_net.py

by-liu/SegLossBia

9cc639c04084cda9d5fb20ea34699db7e0beaf5c

[ "MIT" ]

18

2021-04-20T17:03:20.000Z

2022-03-12T05:56:24.000Z

tools/test_net.py

by-liu/SegLossBia

9cc639c04084cda9d5fb20ea34699db7e0beaf5c

[ "MIT" ]

null

tools/test_net.py

by-liu/SegLossBia

9cc639c04084cda9d5fb20ea34699db7e0beaf5c

[ "MIT" ]

1

2021-07-08T17:44:15.000Z

import sys import logging from seglossbias.utils import mkdir, setup_logging from seglossbias.engine import default_argument_parser, load_config, DefaultTester logger = logging.getLogger(__name__) def setup(args): cfg = load_config(args) mkdir(cfg.OUTPUT_DIR) setup_logging(output_dir=cfg.OUTPUT_DIR) ...

20.75

82

0.717728

74

581

5.310811

0.459459

0.068702

0.111959

0

0.175559

581

27

83

21.518519

0.820459

0

0.04475

0

1

0.105263

false

0

0.210526

0

0.368421

0

null

0

null

0

1

0

ed402a46ff5fc00fad7e1376b1ab297b4013340b

7,808

py

Python

jp_doodle/quantity_forest.py

lingruiluo/jp_doodle

b3935208821898f22ab504c2b26dd4d37f08f0e4

[ "BSD-2-Clause" ]

43

2018-10-10T08:38:07.000Z

2022-03-19T22:44:42.000Z

jp_doodle/quantity_forest.py

firmfrol19/jp_doodle

cb34938edaedbe15590ebe8024060dd97bb69fa9

[ "BSD-2-Clause" ]

8

2018-09-17T19:49:45.000Z

2020-08-24T15:51:16.000Z

jp_doodle/quantity_forest.py

firmfrol19/jp_doodle

cb34938edaedbe15590ebe8024060dd97bb69fa9

[ "BSD-2-Clause" ]

5

2019-06-13T15:53:55.000Z

2020-11-13T01:22:56.000Z

from jp_doodle import doodle_files qf_js = doodle_files.vendor_path("js/quantity_forest.js") from jp_doodle import dual_canvas import jp_proxy_widget import os from subprocess import check_output import pprint if bytes != str: unicode = str def directory_usage(directory, epsilon=0.02): if not os.path.isdir(di...

34.702222

115

0.523309

858

7,808

4.648019

0.22028

0.042628

0.063942

0.040371

0.199097

0.17653

0.161484

0.111836

0

0.014018

0.351306

7,808

224

116

34.857143

0.773347

0.032531

0

0.149254

0

0.004975

0.201511

0.0232

0

1

0.044776

false

0.004975

0.029851

0

0.139303

0.00995

0

null

0

null

0

1

0

ed40391b29c9dd84fbde6dce8cec5a7ba2c96f0b

3,139

py

Python

LeetCode-All-Solution/Python3/LC-0035-Search-Insert-Position.py

YuweiYin/Algorithm_YuweiYin

28648fac59c5a4e3c907978cbd1b3e662ba18fd5

[ "MIT" ]

null

LeetCode-All-Solution/Python3/LC-0035-Search-Insert-Position.py

YuweiYin/Algorithm_YuweiYin

28648fac59c5a4e3c907978cbd1b3e662ba18fd5

[ "MIT" ]

null

LeetCode-All-Solution/Python3/LC-0035-Search-Insert-Position.py

YuweiYin/Algorithm_YuweiYin

28648fac59c5a4e3c907978cbd1b3e662ba18fd5

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- """================================================================= @Project : Algorithm_YuweiYin/LeetCode-All-Solution/Python3 @File : LC-0035-Search-Insert-Position.py @Author : [YuweiYin](https://github.com/YuweiYin) @Date : 2022-01-01 ============================...

28.798165

107

0.572794

416

3,139

4.225962

0.346154

0.025597

0.027304

0.027873

0.20876

0.197383

0.151877

0.09215

0.047782

0

0.046256

0.27684

3,139

108

29.064815

0.728194

0.292768

0

0.026444

0

1

0.081081

false

0

0.081081

0

0.324324

0.081081

0

null

0

null

0

1

0