xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

1967b5cbe9cc4d8e1820eb5ee22aea8355578e45

8,306

py

Python

experiments/track_deep_trial.py

tcstewar/davis_tracking

4813eeaf66bdfad7b90f17831f6b0946daa8cbdf

[ "MIT" ]

5

2019-06-13T02:38:51.000Z

2021-07-29T03:32:41.000Z

experiments/track_deep_trial.py

tcstewar/davis_tracking

4813eeaf66bdfad7b90f17831f6b0946daa8cbdf

[ "MIT" ]

1

2019-08-05T17:30:31.000Z

experiments/track_deep_trial.py

tcstewar/davis_tracking

4813eeaf66bdfad7b90f17831f6b0946daa8cbdf

[ "MIT" ]

3

2019-06-05T18:42:14.000Z

2019-06-19T19:36:02.000Z

import pytry import os import random import nengo import nengo_extras import numpy as np import nengo_dl import tensorflow as tf import davis_tracking class TrackingTrial(pytry.PlotTrial): def params(self): self.param('number of data sets to use', n_data=-1) self.param('data directory', dataset_d...

44.655914

131

0.567903

1,034

8,306

4.348162

0.181818

0.048043

0.019573

0.018906

0.355205

0.25089

0.216637

0.155694

0.137456

0

0.023576

0.325909

8,306

185

132

44.897297

0.779425

0.010956

0

0.054422

0

0.062234

0

1

0.013605

false

0

0.061224

0

0.088435

0

null

0

null

0

1

0

196901465c6a28bf050c45315b7c684ef13a92ea

1,337

py

Python

apps/collection/tests/public/test_public_collection_list.py

magocod/django_repository

660664ba2321499e92c3c5c23719756db2569e90

[ "MIT" ]

1

2019-10-01T01:39:29.000Z

apps/collection/tests/public/test_public_collection_list.py

magocod/django_repository

660664ba2321499e92c3c5c23719756db2569e90

[ "MIT" ]

7

2019-12-04T21:40:40.000Z

2020-06-26T21:49:51.000Z

apps/collection/tests/public/test_public_collection_list.py

magocod/django_repository

660664ba2321499e92c3c5c23719756db2569e90

[ "MIT" ]

1

2020-04-08T02:46:31.000Z

""" ... """ # Django from django.conf import settings # local Django from apps.collection.models import Collection from apps.collection.serializers import CollectionSlugSerializer from apps.tests.fixtures import RepositoryTestCase PAGE_SIZE = settings.REST_FRAMEWORK["PAGE_SIZE"] class CollectionPublicListTest(Rep...

31.093023

86

0.703067

142

1,337

6.415493

0.359155

0.052689

0.083425

0.037322

0.645445

0.583974

0

0.006335

0.173523

1,337

42

87

31.833333

0.8181

0.026926

0

0.421053

0

0.086109

0.056052

0

0.315789

1

0.105263

false

0

0.210526

0

0.421053

0

null

0

null

0

1

0

196a103d422e501e45fed5d95aa6423587fcbc43

2,033

py

Python

main.py

uditarora/fashion-product-classification

686f8a6c34c54f2a09baa7fba89fe446582e8408

[ "MIT" ]

9

2020-04-28T17:26:42.000Z

2021-07-13T14:47:42.000Z

main.py

uditarora/fashion-product-classification

686f8a6c34c54f2a09baa7fba89fe446582e8408

[ "MIT" ]

2

2021-09-08T01:55:51.000Z

2022-03-12T00:25:38.000Z

main.py

uditarora/fashion-product-classification

686f8a6c34c54f2a09baa7fba89fe446582e8408

[ "MIT" ]

1

2020-08-03T15:27:05.000Z

import argparse import logging import os from src.train import setup_top20, setup_ft, setup_bottom logging.basicConfig(level=logging.INFO) logger = logging.getLogger('fashion') def main(data_path, ckpt_path, mt, train_bottom=False): # Train on top-20 classes (train subsplit) logger.info("Training on top-20 cl...

37.648148

98

0.711264

295

2,033

4.657627

0.291525

0.052402

0.046579

0.043668

0.229258

0.188501

0.126638

0.075691

0

0.02512

0.17757

2,033

53

99

38.358491

0.796651

0.084112

0

0.215401

0

1

0.025641

false

0

0.102564

0

0.128205

0.153846

0

null

0

null

0

1

0

196bb8f934a37aeb286c8e9a73930e525b7e413c

8,508

py

Python

src/toil_scripts/transfer_gtex_to_s3/transfer_gtex_to_s3.py

BD2KGenomics/toil-scripts

f878d863defcdccaabb7fe06f991451b7a198fb7

[ "Apache-2.0" ]

33

2015-10-28T18:26:31.000Z

2021-10-10T21:19:31.000Z

src/toil_scripts/transfer_gtex_to_s3/transfer_gtex_to_s3.py

BD2KGenomics/toil-scripts

f878d863defcdccaabb7fe06f991451b7a198fb7

[ "Apache-2.0" ]

464

2015-08-11T04:12:10.000Z

2018-02-21T21:29:11.000Z

src/toil_scripts/transfer_gtex_to_s3/transfer_gtex_to_s3.py

BD2KGenomics/toil-scripts

f878d863defcdccaabb7fe06f991451b7a198fb7

[ "Apache-2.0" ]

21

2015-09-08T18:07:49.000Z

2020-11-24T01:02:08.000Z

#!/usr/bin/env python2.7 """ Toil script to move TCGA data into an S3 bucket. Dependencies Curl: apt-get install curl Docker: wget -qO- https://get.docker.com/ | sh Toil: pip install toil S3AM: pip install --pre s3am """ import argparse import glob import hashlib import os import shutil import su...

42.328358

118

0.629525

1,180

8,508

4.383051

0.266102

0.027069

0.023202

0.029776

0.20959

0.174014

0.152552

0.118329

0.076179

0.040603

0

0.015216

0.258463

8,508

201

119

42.328358

0.804565

0.239892

0

0.057851

0

0.171651

0.011931

0

0.041322

1

0.066116

false

0

0.066116

0

0.157025

0

null

0

null

0

1

0

196bec7ed8b6cf58b1516910c7416d81061dacce

1,885

py

Python

tests/metrics/cpu_psutil_tests.py

shareablee/apm-agent-python

29f12ceb410b3c1a7f933b29dcecccf628dbbb6c

[ "BSD-3-Clause" ]

null

tests/metrics/cpu_psutil_tests.py

shareablee/apm-agent-python

29f12ceb410b3c1a7f933b29dcecccf628dbbb6c

[ "BSD-3-Clause" ]

null

tests/metrics/cpu_psutil_tests.py

shareablee/apm-agent-python

29f12ceb410b3c1a7f933b29dcecccf628dbbb6c

[ "BSD-3-Clause" ]

null

import time import pytest from elasticapm.utils import compat cpu_psutil = pytest.importorskip("elasticapm.metrics.sets.cpu_psutil") pytestmark = pytest.mark.psutil def test_cpu_mem_from_psutil(): metricset = cpu_psutil.CPUMetricSet() # do something that generates some CPU load for i in compat.irange(1...

33.660714

97

0.658886

250

1,885

4.868

0.348

0.090386

0.139688

0.073952

0.607231

0.527527

0.410025

0.393591

0.263763

0.11668

0

0.013324

0.203714

1,885

55

98

34.272727

0.797468

0.164456

0

0.263158

0

0.294455

0.205864

0

0.210526

1

0.052632

false

0

0.131579

0

0.184211

0

null

0

null

0

1

0

196e9f2b4480f78817f1f39de8dbbca5da718152

3,785

py

Python

day11/main.py

josteinl/advent2020

f109f9c1ef4fcb14582cda6b114d7648000decc6

[ "Apache-2.0" ]

null

day11/main.py

josteinl/advent2020

f109f9c1ef4fcb14582cda6b114d7648000decc6

[ "Apache-2.0" ]

null

day11/main.py

josteinl/advent2020

f109f9c1ef4fcb14582cda6b114d7648000decc6

[ "Apache-2.0" ]

null

""" Day 11 - Seating """ from itertools import chain import collections def occupied_count(seating): return ''.join(chain.from_iterable(seating)).count('#') def adjacent_occupied(x, y, seating): occupied = 0 # Above for look_x in range(x - 1, x + 2): for look_y in range(y - 1, y + 2): ...

29.115385

91

0.57675

534

3,785

3.874532

0.155431

0.100532

0.052199

0.057999

0.647173

0.544224

0.465926

0.450459

0

0.016147

0.296433

3,785

129

92

29.341085

0.760796

0.084016

0

0.463415

0

0.016527

0

1

0.097561

false

0

0.02439

0.012195

0.243902

0.012195

0

null

0

null

0

1

0

1971dea6d61ad931626506926b94703bc0412249

2,843

py

Python

research/cv/yolox/src/boxes.py

mindspore-ai/models

9127b128e2961fd698977e918861dadfad00a44c

[ "Apache-2.0" ]

77

2021-10-15T08:32:37.000Z

2022-03-30T13:09:11.000Z

research/cv/yolox/src/boxes.py

mindspore-ai/models

9127b128e2961fd698977e918861dadfad00a44c

[ "Apache-2.0" ]

3

2021-10-30T14:44:57.000Z

2022-02-14T06:57:57.000Z

research/cv/yolox/src/boxes.py

mindspore-ai/models

9127b128e2961fd698977e918861dadfad00a44c

[ "Apache-2.0" ]

24

2021-10-15T08:32:45.000Z

2022-03-24T18:45:20.000Z

# Copyright 2022 Huawei Technologies Co., Ltd # # 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...

30.569892

89

0.562082

418

2,843

3.638756

0.287081

0.087442

0.047337

0.04142

0.378041

0.330703

0.25904

0.192636

0.130835

0.105194

0

0.032471

0.25255

2,843

92

90

30.902174

0.683294

0.291242

0

0.136364

0

0.019812

0

1

0.068182

false

0

0.045455

0

0.159091

0

null

0

null

0

1

0

1973e78021509b21a44ae56187ef66052677e85e

2,029

py

Python

qa_multi_span/model.py

chunchiehy/musst

1525f917d8802d18c302720125ef9720b9c743fd

[ "MIT" ]

14

2021-02-26T15:19:21.000Z

2022-03-31T18:49:12.000Z

qa_multi_span/model.py

chunchiehy/musst

1525f917d8802d18c302720125ef9720b9c743fd

[ "MIT" ]

null

qa_multi_span/model.py

chunchiehy/musst

1525f917d8802d18c302720125ef9720b9c743fd

[ "MIT" ]

1

2021-11-16T07:20:32.000Z

from transformers import AlbertModel from transformers import AlbertPreTrainedModel import torch.nn as nn import torch import torch.nn.functional as F class MUSTTransformerModel(AlbertPreTrainedModel): def __init__(self, config, max_num_spans, max_seq_len): super(MUSTTransformerModel, self).__init__(config) ...

33.816667

73

0.667817

254

2,029

4.952756

0.255906

0.078696

0.04372

0.035771

0.063593

0.044515

0

0.005921

0.250862

2,029

59

74

34.389831

0.821711

0.056678

0

1

0.043478

false

0

0.108696

0

0.195652

0

null

0

null

0

1

0

19753cc35369937ec7625ed05051badbaa38c37c

1,160

py

Python

class_one/02_strings.py

nclairesays/intro-python-hackforla

65ab8584ab9d5082aaa405b40c47cbeacfff610c

[ "MIT" ]

null

class_one/02_strings.py

nclairesays/intro-python-hackforla

65ab8584ab9d5082aaa405b40c47cbeacfff610c

[ "MIT" ]

null

class_one/02_strings.py

nclairesays/intro-python-hackforla

65ab8584ab9d5082aaa405b40c47cbeacfff610c

[ "MIT" ]

null

# STRINGS # https://docs.python.org/3/tutorial/introduction.html#strings s = str(42) s # convert another data type into a string (casting) s = 'I like you' # examine a string s[0] # returns 'I' len(s) # returns 10 # string slicing like lists s[0:7] # returns 'I like ' s[6:] # returns 'you' s[-1] # returns...

22.745098

67

0.655172

186

1,160

4.080645

0.510753

0.02635

0.031621

0.051383

0.167325

0.083004

0

0.059276

0.214655

1,160

51

68

22.745098

0.773875

0.622414

0

0.111111

0

0.430657

0

1

0

false

0

null

0

null

0

1

0

1975eb951bcdc39a34c55d4b1e7b13067352c07a

11,809

py

Python

amqpy/transport.py

veegee/amqpy

c5346b1f6910b8553ca96769d2c88a7807f83417

[ "MIT" ]

32

2015-02-04T03:57:28.000Z

2021-01-17T13:19:02.000Z

amqpy/transport.py

veegee/amqpy

c5346b1f6910b8553ca96769d2c88a7807f83417

[ "MIT" ]

33

2015-01-12T21:17:16.000Z

2018-03-14T22:54:13.000Z

amqpy/transport.py

veegee/amqpy

c5346b1f6910b8553ca96769d2c88a7807f83417

[ "MIT" ]

9

2015-02-17T04:44:31.000Z

2021-12-09T20:36:29.000Z

from __future__ import absolute_import, division, print_function __metaclass__ = type import errno import six import socket import ssl from abc import ABCMeta, abstractmethod import logging from threading import RLock from ssl import SSLError import datetime import time from . import compat from .proto import Frame f...

32.53168

110

0.597172

1,461

11,809

4.715264

0.225873

0.031354

0.013064

0.019161

0.280012

0.246044

0.203658

0.159675

0.125127

0

0.006899

0.324922

11,809

362

111

32.621547

0.85725

0.35329

0

0.314286

0

0.021872

0

0.000568

0

0.005714

1

0.102857

false

0.017143

0.097143

0

0.285714

0.005714

0

null

0

null

0

1

0

19775af3ac0af2c8563350d3a05ceb55a427a779

639

py

Python

tracking/urls.py

KolibriSolutions/BepMarketplace

c47d252fd744cde6b927e37c34d7a103c6162be5

[ "BSD-3-Clause" ]

1

2019-06-29T15:24:24.000Z

tracking/urls.py

KolibriSolutions/BepMarketplace

c47d252fd744cde6b927e37c34d7a103c6162be5

[ "BSD-3-Clause" ]

2

2020-01-12T17:47:33.000Z

2020-01-12T17:47:45.000Z

tracking/urls.py

KolibriSolutions/BepMarketplace

c47d252fd744cde6b927e37c34d7a103c6162be5

[ "BSD-3-Clause" ]

2

2019-06-29T15:24:26.000Z

2020-01-08T15:15:03.000Z

# Bep Marketplace ELE # Copyright (c) 2016-2021 Kolibri Solutions # License: See LICENSE file or https://github.com/KolibriSolutions/BepMarketplace/blob/master/LICENSE # from django.urls import path from . import views app_name = 'tracking' urlpatterns = [ path('user/login/', views.list_user_login, name='listu...

37.588235

102

0.744914

77

639

6.038961

0.61039

0.058065

0

0.014134

0.114241

639

16

103

39.9375

0.80742

0.255086

0

0.265957

0

1

0

false

0

0.2

0

0.2

0

null

0

null

0

1

0

197a1ef6fa46d979a05f557aa10ddfcfec221a69

5,301

py

Python

saefportal/saef/views/connection_view.py

harry-consulting/SAEF

12ef43bbcc3178b8a988e21c1bef035881cf6e6d

[ "BSD-2-Clause" ]

4

2020-12-16T13:14:26.000Z

2022-03-26T08:54:12.000Z

saefportal/saef/views/connection_view.py

harry-consulting/SAEF

12ef43bbcc3178b8a988e21c1bef035881cf6e6d

[ "BSD-2-Clause" ]

1

2022-03-26T09:09:04.000Z

saefportal/saef/views/connection_view.py

harry-consulting/SAEF

12ef43bbcc3178b8a988e21c1bef035881cf6e6d

[ "BSD-2-Clause" ]

1

2020-12-16T13:20:17.000Z

from saef.connections import ConnectionFormHelper from ..models import Connection from ..forms import ConnectionTypeForm from saefportal.settings import MSG_SUCCESS_CONNECTION_UPDATE, MSG_SUCCESS_CONNECTION_VALID, \ MSG_ERROR_CONNECTION_INVALID, MSG_SUCCESS_CONNECTION_SAVED, MSG_ERROR_CONNECTION_SELECT_INVALID, \ ...

41.414063

105

0.716469

580

5,301

6.215517

0.139655

0.08932

0.037448

0.062136

0.556172

0.527046

0.457143

0.427739

0.332039

0.300971

0

0.001412

0.198642

5,301

127

106

41.740157

0.847222

0

0.409524

0

0.088097

0.018676

0

1

0.038095

false

0

0.085714

0

0.266667

0

null

0

null

0

1

0

197a2e031fcb6bc8c3c7153d570a652bf400420f

6,206

py

Python

modules/niftitools.py

NeuroSainteAnne/synthFLAIR

ddb083e0ddbb5a7a3131e947c8a84809f25b93a1

[ "BSD-3-Clause" ]

2

2022-01-09T11:25:40.000Z

2022-03-24T04:00:11.000Z

modules/niftitools.py

yunfei920406/synthFLAIR

ddb083e0ddbb5a7a3131e947c8a84809f25b93a1

[ "BSD-3-Clause" ]

null

modules/niftitools.py

yunfei920406/synthFLAIR

ddb083e0ddbb5a7a3131e947c8a84809f25b93a1

[ "BSD-3-Clause" ]

2

2022-03-24T04:00:17.000Z

2022-03-25T00:36:13.000Z

import os import pydicom import glob import numpy as np import nibabel as nib from skimage import filters, morphology from scipy.ndimage.morphology import binary_fill_holes from scipy.ndimage import label from dipy.segment.mask import median_otsu def padvolume(volume): "Applies a padding/cropping to a volume in or...

31.502538

91

0.618595

838

6,206

4.497613

0.220764

0.05731

0.021226

0.020695

0.122314

0.059432

0.03741

0.023879

0

0.094673

0.25282

6,206

197

92

31.502538

0.718137

0.084434

0

0.059603

0

0.048452

0

1

0.092715

false

0

0.059603

0

0.238411

0

null

0

null

0

1

0

197baac1afa4b35de9d60fc8d92a0d5870b20c39

1,937

py

Python

recognition.py

1159186649/Raspberry-Car

d1114793dd45be4e60a5d8a8da57b01ae3210f94

[ "Apache-2.0" ]

1

2020-11-04T02:28:32.000Z

recognition.py

1159186649/Raspberry-Car

d1114793dd45be4e60a5d8a8da57b01ae3210f94

[ "Apache-2.0" ]

null

recognition.py

1159186649/Raspberry-Car

d1114793dd45be4e60a5d8a8da57b01ae3210f94

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from aip import AipFace from picamera import PiCamera import urllib.request import RPi.GPIO as GPIO import base64 import time import Main #百度智能云人脸识别id、key APP_ID = '*****' API_KEY = '**********' SECRET_KEY ='**********' client = AipFace(APP_ID, API_KEY, SECRE...

25.826667

87

0.573051

231

1,937

4.683983

0.502165

0.033272

0.027726

0.020333

0.075786

0.036969

0

0.029371

0.261745

1,937

74

88

26.175676

0.727273

0.224574

0

0.125

0

0.164393

0

1

0.041667

false

0

0.145833

0

0.291667

0.125

0

null

0

null

0

1

0

197f119da149ba3627c410ef123a293d7183c17e

4,986

py

Python

rssxkcd.py

bkentropy/xkcd-updater

732b60428a9fdc79c2cd847623c7416cb4b6022d

[ "MIT" ]

null

rssxkcd.py

bkentropy/xkcd-updater

732b60428a9fdc79c2cd847623c7416cb4b6022d

[ "MIT" ]

null

rssxkcd.py

bkentropy/xkcd-updater

732b60428a9fdc79c2cd847623c7416cb4b6022d

[ "MIT" ]

null

#!/usr/local/bin/python2 import argparse import requests import feedparser import time import sys import sqlite3 import datetime # Command line args parser = argparse.ArgumentParser(description='Provide HipChat integration url to post xkcd comics') parser.add_argument('url', type=str, help='(string) a special url for ...

33.689189

113

0.583233

632

4,986

4.511076

0.265823

0.036478

0.028411

0.026307

0.27429

0.201684

0.130831

0.098913

0.075061

0

0.006663

0.277577

4,986

147

114

33.918367

0.784842

0.056558

0

0.186992

0

0.170467

0.004475

0

0.006803

0

1

0.081301

false

0

0.056911

0

0.195122

0.065041

0

null

0

null

0

1

0

1982e8dcbffc500675e9501f2db4214567aa2081

24,054

py

Python

boundaries/ca_qc_districts/definition.py

imhangoo/represent-canada-data

0d9cc818b343079f81a00c15438d79c079a10c9b

[ "OML" ]

null

boundaries/ca_qc_districts/definition.py

imhangoo/represent-canada-data

0d9cc818b343079f81a00c15438d79c079a10c9b

[ "OML" ]

null

boundaries/ca_qc_districts/definition.py

imhangoo/represent-canada-data

0d9cc818b343079f81a00c15438d79c079a10c9b

[ "OML" ]

null

# coding: utf-8 import re from datetime import date import boundaries # Noting that the "union" merge strategy fails with: # # GEOS_ERROR: TopologyException: found non-noded intersection between # LINESTRING (...) and LINESTRING (...) # # django.contrib.gis.geos.error.GEOSException: Could not initialize G...

42.877005

186

0.61204

2,645

24,054

5.528166

0.342533

0.030844

0.050472

0.05608

0.25742

0.242443

0.230338

0.130352

0.122555

0

0.096505

0.197015

24,054

560

187

42.953571

0.659021

0.059491

0

0.107071

0

0.014141

0.50341

0.181029

0

1

0.006061

false

0

0.010101

0

0.046465

0

null

0

null

0

1

0

198370b8aa4515542204d0344e7d286fb2f76907

1,803

py

Python

pdbfairy/commands/compare_interactions.py

dannyroberts/pdbfairy

2cefd4a5e6c40f32e6fa3974ffd595fc336c582b

[ "BSD-3-Clause" ]

null

pdbfairy/commands/compare_interactions.py

dannyroberts/pdbfairy

2cefd4a5e6c40f32e6fa3974ffd595fc336c582b

[ "BSD-3-Clause" ]

null

pdbfairy/commands/compare_interactions.py

dannyroberts/pdbfairy

2cefd4a5e6c40f32e6fa3974ffd595fc336c582b

[ "BSD-3-Clause" ]

null

import difflib import io import click from pdbfairy import utils from pdbfairy.commands import find_interactions @click.argument('pdb_file_1') @click.argument('pdb_file_2') @click.option('--max-distance', default=find_interactions.MAX_DISTANCE, help=( "The distance in Angstroms under which atoms should " "b...

33.388889

78

0.653356

233

1,803

4.832618

0.313305

0.0746

0.028419

0.035524

0.286856

0.101243

0

0.019512

0.204104

1,803

53

79

34.018868

0.765157

0.035496

0

0.071429

0

0.142774

0

1

0.02381

false

0.02381

0.119048

0

0.142857

0.285714

0

null

0

null

0

1

0

1983c2bf22bdcb42a662ebdbf2a359de7f422d6f

444

py

Python

accelerator/migrations/023_alter_topics_field_office_hours.py

masschallenge/django-accelerator

8af898b574be3b8335edc8961924d1c6fa8b5fd5

[ "MIT" ]

6

2017-06-14T19:34:01.000Z

2020-03-08T07:16:59.000Z

accelerator/migrations/023_alter_topics_field_office_hours.py

masschallenge/django-accelerator

8af898b574be3b8335edc8961924d1c6fa8b5fd5

[ "MIT" ]

160

2017-06-20T17:12:13.000Z

2022-03-30T13:53:12.000Z

accelerator/migrations/023_alter_topics_field_office_hours.py

masschallenge/django-accelerator

8af898b574be3b8335edc8961924d1c6fa8b5fd5

[ "MIT" ]

null

from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accelerator', '0022_add_meeting_info_on_office_hour_model'), ] operations = [ migrations.AlterField( model_name='mentorprogramofficehour...

23.368421

76

0.655405

42

444

6.595238

0.809524

0

0.023881

0.245496

444

18

77

24.666667

0.802985

0

0.184685

0.146396

0

1

0

false

0

0.153846

0

0.384615

0

null

0

null

0

1

0

198549dbef342bfbbd642fd61a76b181c129ac11

1,085

py

Python

guanabara/mundo1/ex018.py

thekilian/Python-pratica

875661addd5b8eb4364bc638832c7ab55dcefce4

[ "MIT" ]

null

guanabara/mundo1/ex018.py

thekilian/Python-pratica

875661addd5b8eb4364bc638832c7ab55dcefce4

[ "MIT" ]

null

guanabara/mundo1/ex018.py

thekilian/Python-pratica

875661addd5b8eb4364bc638832c7ab55dcefce4

[ "MIT" ]

null

# 018 - Faça um programa que leia um ângulo qualquer e mostre na tela o valor do seno, cosseno e tangente desse ângulo. ''' from math import sin, cos, tan ang = float(input('Digite um ângulo: ')) sen = sin(ang) cos = cos(ang) tan = tan(ang) print('Ângulo de {}°: \n Seno = {:.2f} \n Cosseno = {:.2f} \n Tangente = {:....

31

119

0.648848

181

1,085

3.900552

0.265193

0.09915

0.077904

0.080737

0.454674

0.430595

0.314448

0.271955

0.17847

0

0.01323

0.164055

1,085

35

120

31

0.762955

0.375115

0

0.166667

0.332103

0

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

1989abd5efbf0b7dfe6d6083f611454b62427f76

654

py

Python

exp1_bot_detection/Cresci/Cresci.py

GabrielHam/SATAR_Twitter_Bot_Detection_with_Self-supervised_User_Representation_Learning

ac73e5deb9d748f02d1396d1458e716408470cc9

[ "MIT" ]

5

2021-08-10T14:15:18.000Z

2022-03-09T07:06:19.000Z

exp1_bot_detection/Cresci/Cresci.py

GabrielHam/SATAR_Twitter_Bot_Detection_with_Self-supervised_User_Representation_Learning

ac73e5deb9d748f02d1396d1458e716408470cc9

[ "MIT" ]

null

exp1_bot_detection/Cresci/Cresci.py

GabrielHam/SATAR_Twitter_Bot_Detection_with_Self-supervised_User_Representation_Learning

ac73e5deb9d748f02d1396d1458e716408470cc9

[ "MIT" ]

null

import math result = [1] * 4355 list = [] flag = '' def issub(strrr): global list cnt = 0 for dna in list: if strrr in dna: cnt = cnt + 1 return cnt def tryy(strrr): num = issub(strrr) if num > 1: for tmp in range(num): result[tmp] = max(result[tmp], ...

15.571429

63

0.524465

97

654

3.525773

0.474227

0.105263

0

0.028953

0.313456

654

41

64

15.95122

0.732739

0

0.063077

0.043077

0

1

0.071429

false

0

0.035714

0

0.142857

0.035714

0

null

0

null

0

1

0

198aafa829b773ab465bf52f7c98972087fa1385

3,119

py

Python

examples/smiley_face.py

Markichu/PythonAutoNifty

ab646601058297b6bfe14332f17b836ee3dfbe69

[ "MIT" ]

null

examples/smiley_face.py

Markichu/PythonAutoNifty

ab646601058297b6bfe14332f17b836ee3dfbe69

[ "MIT" ]

6

2021-11-24T00:48:57.000Z

2022-03-17T07:51:36.000Z

examples/smiley_face.py

Markichu/PythonAutoNifty

ab646601058297b6bfe14332f17b836ee3dfbe69

[ "MIT" ]

null

import random from pyautonifty.constants import DRAWING_SIZE, YELLOW, BLACK, MAGENTA, BLUE from pyautonifty.pos import Pos from pyautonifty.drawing import Drawing from pyautonifty.renderer import Renderer def smiley_face(drawing): # Set a background colour to be used for the drawing background_colour = MAGEN...

43.319444

114

0.721064

435

3,119

4.850575

0.314943

0.072986

0.042654

0.028436

0.23128

0.208531

0.178199

0.145024

0.120379

0

0.022409

0.198782

3,119

71

115

43.929577

0.821929

0.167041

0

0.076625

0.032508

0

1

0.020833

false

0

0.125

0

0.166667

0.020833

0

null

0

null

0

1

0

198b6c8bdf9c4c45a62fc10ae148a99e4911a2b1

1,074

py

Python

cumulusci/tests/test_schema.py

davisagli/CumulusCI

fd74c324ad3ff662484b159395c639879011e711

[ "BSD-3-Clause" ]

109

2015-01-20T14:28:48.000Z

2018-08-31T12:12:39.000Z

cumulusci/tests/test_schema.py

davisagli/CumulusCI

fd74c324ad3ff662484b159395c639879011e711

[ "BSD-3-Clause" ]

365

2015-01-07T19:54:25.000Z

2018-09-11T15:10:02.000Z

cumulusci/tests/test_schema.py

davisagli/CumulusCI

fd74c324ad3ff662484b159395c639879011e711

[ "BSD-3-Clause" ]

125

2015-01-17T16:05:39.000Z

2018-09-06T19:05:00.000Z

import json import yaml from jsonschema import validate from cumulusci.utils.yaml import cumulusci_yml class TestSchema: def test_schema_validates(self, cumulusci_test_repo_root): schemapath = ( cumulusci_test_repo_root / "cumulusci/schema/cumulusci.jsonschema.json" ) with op...

32.545455

96

0.666667

129

1,074

5.341085

0.333333

0.09434

0.123367

0.152395

0.377358

0.261248

0

0.257914

1,074

32

97

33.5625

0.864492

0

0.24

0

0.211359

0.102421

0

0.08

1

0.08

false

0

0.16

0

0.28

0

null

0

null

0

1

0

198b7bfde744c3980b7b517559c0d495392afa36

7,650

py

Python

luxon/core/networking/sock.py

HieronymusCrouse/luxon

b0b08c103936adcbb3dd03b1701d44a65de8f61e

[ "BSD-3-Clause" ]

7

2018-02-27T00:18:02.000Z

2019-05-16T16:57:00.000Z

luxon/core/networking/sock.py

HieronymusCrouse/luxon

b0b08c103936adcbb3dd03b1701d44a65de8f61e

[ "BSD-3-Clause" ]

47

2018-01-23T13:49:28.000Z

2019-06-06T13:14:59.000Z

luxon/core/networking/sock.py

HieronymusCrouse/luxon

b0b08c103936adcbb3dd03b1701d44a65de8f61e

[ "BSD-3-Clause" ]

14

2018-01-15T08:47:11.000Z

2019-12-27T12:05:41.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2019-2020 Christiaan Frans Rademan <chris@fwiw.co.za>. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the ...

33.116883

79

0.555817

794

7,650

5.215365

0.278338

0.075344

0.055059

0.032601

0.369717

0.305723

0.241971

0.203091

0.183289

0

0.005738

0.362092

7,650

230

80

33.26087

0.842828

0.218693

0

0.531429

0

0.019852

0

1

0.108571

false

0.017143

0.034286

0.011429

0.245714

0

null

0

null

0

1

0

198cce97dd571e2e8a46ea89d848568e280efd25

739

py

Python

merge.py

Graze-Lab/SDE-of-species

c53ca05ff840e722fec3d71b5794057713d221f8

[ "MIT" ]

null

merge.py

Graze-Lab/SDE-of-species

c53ca05ff840e722fec3d71b5794057713d221f8

[ "MIT" ]

null

merge.py

Graze-Lab/SDE-of-species

c53ca05ff840e722fec3d71b5794057713d221f8

[ "MIT" ]

null

#! /usr/bin/env python3 "A script to perform the linear regression and create the plot." # Python program to # demonstrate merging of # two files # Creating a list of filenames filenames = ['A.591-search-immune-dmel-FlyBase_IDs.txt', 'B.432_search-defense-dmel-FlyBase_IDs.txt'] # Open file3 in write mode with open(...

26.392857

101

0.653586

110

739

4.354545

0.563636

0.068894

0.087683

0.106472

0.100209

0

0.021661

0.250338

739

27

102

27.37037

0.84296

0.464141

0

0.425056

0.279642

0

1

0

false

0

null

0

null

0

1

0

1992027ec84925790a7d6fb4bda0cd8820388c0a

2,891

py

Python

src/rhc_hqa/rhc_hqa.py

Minyus/rhc_hqa

2b9f37a8b6ddb9dd36c08764acd2dcf9cbd7c551

[ "Apache-2.0" ]

null

src/rhc_hqa/rhc_hqa.py

Minyus/rhc_hqa

2b9f37a8b6ddb9dd36c08764acd2dcf9cbd7c551

[ "Apache-2.0" ]

null

src/rhc_hqa/rhc_hqa.py

Minyus/rhc_hqa

2b9f37a8b6ddb9dd36c08764acd2dcf9cbd7c551

[ "Apache-2.0" ]

null

import pandas as pd import numpy as np from sklearn.linear_model import LogisticRegression from lightgbm import LGBMRegressor def cv_index_list_to_df(d): out_dict = {} for group, index_list in d.items(): for index in index_list: out_dict[index] = group df = pd.DataFrame.from_dict(out_d...

32.852273

80

0.649256

400

2,891

4.29

0.215

0.04662

0.045455

0.200466

0.184149

0.041958

0

0.014034

0.235905

2,891

87

81

33.229885

0.762789

0

0.030303

0

0.097198

0.022484

0

1

0.030303

false

0

0.090909

0

0.151515

0

null

0

null

0

1

0

1992310a23c16a6b24ee79181f9ba76bf057b0f3

2,301

py

Python

257.py

wilbertgeng/LeetCode_exercise

f00c08e0d28ffa88d61d4262c6d1f49f1fa91ebc

[ "MIT" ]

null

257.py

wilbertgeng/LeetCode_exercise

f00c08e0d28ffa88d61d4262c6d1f49f1fa91ebc

[ "MIT" ]

null

257.py

wilbertgeng/LeetCode_exercise

f00c08e0d28ffa88d61d4262c6d1f49f1fa91ebc

[ "MIT" ]

null

"""257. Binary Tree Paths""" # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution(object): def binaryTreePaths(self, root): """ :type roo...

29.883117

72

0.49761

276

2,301

4.119565

0.17029

0.084433

0.079156

0.063325

0.430079

0.335092

0.319261

0.153914

0.129288

0

0.004051

0.356367

2,301

76

73

30.276316

0.763673

0.12299

0

0.433962

0

0.008167

0

1

0.09434

false

0

0.301887

0

null

0

null

0

1

0

1993e0484cd76cbe8ee03395dd60ee7a00db241f

2,179

py

Python

crm/forms.py

zhangyafeii/CRM

4d93fb276c7210676590da48b18d8e72cc202ef0

[ "MIT" ]

null

crm/forms.py

zhangyafeii/CRM

4d93fb276c7210676590da48b18d8e72cc202ef0

[ "MIT" ]

null

crm/forms.py

zhangyafeii/CRM

4d93fb276c7210676590da48b18d8e72cc202ef0

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ @Datetime: 2018/10/23 @Author: Zhang Yafei """ from django.forms import ModelForm, forms from crm import models class EnrollmentForm(ModelForm): def __new__(cls, *args, **kwargs): # print('__new__',cls,args,kwargs) for field_name in cls.base_fields: file_ob...

35.145161

119

0.620009

254

2,179

5.019685

0.346457

0.028235

0.031373

0.050196

0.486275

0.458039

0.392157

0

0.005535

0.253786

2,179

61

120

35.721311

0.778598

0.114273

0

0.5

0

0.146583

0.011476

0

1

0.1

false

0

0.05

0

0.3

0

null

0

null

0

1

0

199526a23444f21fe4ced48163607211a83fd853

3,911

py

Python

api/user_api.py

HuQi2018/BiSheServer

66fd77865e131f0a06313562b5d127e530128944

[ "Apache-2.0" ]

44

2021-06-03T04:01:30.000Z

2022-03-31T15:46:00.000Z

api/user_api.py

HuQi2018/BiSheServer

66fd77865e131f0a06313562b5d127e530128944

[ "Apache-2.0" ]

1

2022-02-21T05:40:01.000Z

2022-03-17T10:50:51.000Z

api/user_api.py

HuQi2018/BiSheServer

66fd77865e131f0a06313562b5d127e530128944

[ "Apache-2.0" ]

8

2021-06-05T17:13:35.000Z

2022-03-24T05:04:30.000Z

import uuid from django.core.files.base import ContentFile from django.core.files.storage import default_storage from django.db.models import Q from BiSheServer import settings from api.model_json import queryset_to_json from user.models import UsersPerfer, UsersDetail, UserTag # 用户api class User: def __init__(...

35.554545

116

0.611864

477

3,911

4.698113

0.272537

0.080321

0.035698

0.029005

0.21419

0.147702

0.134761

0

0.004367

0.297366

3,911

109

117

35.880734

0.811135

0.076451

0

0.2125

0

0.049582

0.00585

0

1

0.125

false

0.0125

0.0875

0.0125

0.35

0.0125

0

null

0

null

0

1

0

199538a4a4f978d0b56aadb122776630718bac24

1,777

py

Python

Diretide/lib.py

sleibrock/dotacli

e361fbcf787f13232fcf8994b839d4c9f08bc67a

[ "MIT" ]

null

Diretide/lib.py

sleibrock/dotacli

e361fbcf787f13232fcf8994b839d4c9f08bc67a

[ "MIT" ]

null

Diretide/lib.py

sleibrock/dotacli

e361fbcf787f13232fcf8994b839d4c9f08bc67a

[ "MIT" ]

null

#!/usr/bin/env python #-*- coding: utf-8 -*- """ lib.py """ from string import printable as printable_chrs from collections import namedtuple from requests import get as re_get from datetime import datetime # Define constants API_URL = "http://dailydota2.com/match-api" Match = namedtuple("Match", ["timediff", "seri...

26.924242

78

0.621835

234

1,777

4.602564

0.461538

0.03714

0.031569

0

0.00656

0.227912

1,777

65

79

27.338462

0.778426

0.214969

0

0.057143

0

0.215474

0.031815

0

1

0.142857

false

0

0.114286

0.057143

0.371429

0.228571

0

null

0

null

0

1

0

1996ff9cbd376245bbd4ada8ffdff6a62803fa08

417

py

Python

hash-tool/vv_hash.py

amjunliang/virtualview_tools

7fcf62134b0a23a71bb8f4b54a6aac19cf858ef6

[ "MIT" ]

186

2017-12-06T09:17:07.000Z

2022-01-10T04:04:09.000Z

hash-tool/vv_hash.py

amjunliang/virtualview_tools

7fcf62134b0a23a71bb8f4b54a6aac19cf858ef6

[ "MIT" ]

16

2017-12-18T04:15:57.000Z

2021-04-15T06:50:37.000Z

hash-tool/vv_hash.py

amjunliang/virtualview_tools

7fcf62134b0a23a71bb8f4b54a6aac19cf858ef6

[ "MIT" ]

47

2018-01-12T06:23:26.000Z

2022-02-22T05:56:59.000Z

import sys if len(sys.argv) <= 1: print("python vv_hash.py property_name") exit(0) propertyName = sys.argv[1] if len(propertyName) == 0: print("empty element name") exit(0) hashCode = 0 for i in range(0, len(propertyName)): hashCode = (31 * hashCode + ord(propertyName[i])) & 0xFFFFFFFF if has...

24.529412

66

0.654676

57

417

4.754386

0.526316

0.0369

0.059041

0

0.066465

0.206235

417

17

67

24.529412

0.752266

0

0.142857

0

0.148325

0

0.074163

0

1

0

false

0

0.071429

0

0.071429

0.214286

0

null

0

null

0

1

0

199c463aaa4e8ff9bc128e9fe6eb09901f8c3ffb

2,354

py

Python

API/AdminPanel/smoke_all_pages/credentials.py

Mikhail-QA/HS

8ddbc09a0d1493128f3af6b8078c295609908dd7

[ "Apache-2.0" ]

null

API/AdminPanel/smoke_all_pages/credentials.py

Mikhail-QA/HS

8ddbc09a0d1493128f3af6b8078c295609908dd7

[ "Apache-2.0" ]

null

API/AdminPanel/smoke_all_pages/credentials.py

Mikhail-QA/HS

8ddbc09a0d1493128f3af6b8078c295609908dd7

[ "Apache-2.0" ]

null

# Админка раздел редактор курсов # Энпоинты меню редактора курсов ДШ в тек. уг path_admin_schedules_grade_1 = '/schedules?grade=1&school=true&' path_admin_schedules_grade_2 = '/schedules?grade=2&school=true&' path_admin_schedules_grade_3 = '/schedules?grade=3&school=true&' path_admin_schedules_grade_4 = '/schedules?gra...

52.311111

193

0.800765

322

2,354

5.493789

0.301242

0.137366

0.111928

0.143019

0.226116

0.03957

0

0.04073

0.092608

2,354

44

194

53.5

0.787453

0.184792

0

0.058824

0

0.029412

0.434966

0.350711

0

1

0.058824

false

0

0.088235

0

null

0

null

0

1

0

199d8a7e9157f48b6df5a88dec9570242bb4b50a

963

py

Python

2021/aoc07.py

wolfgangmuender/AdventOfCode

3956c245f6d3e789cb5424ac54832ebcfc03eb21

[ "Apache-2.0" ]

null

2021/aoc07.py

wolfgangmuender/AdventOfCode

3956c245f6d3e789cb5424ac54832ebcfc03eb21

[ "Apache-2.0" ]

null

2021/aoc07.py

wolfgangmuender/AdventOfCode

3956c245f6d3e789cb5424ac54832ebcfc03eb21

[ "Apache-2.0" ]

null

with open("input/input07.txt") as f: content = f.read().splitlines() positions = list(map(lambda x: int(x), content[0].split(","))) max_pos = max(positions) min_pos = min(positions) possible_pos = range(min_pos, max_pos + 1) fuel_costs1 = [] for align_pos in possible_pos: fuel_costs1.append(sum([abs(pos - al...

35.666667

118

0.74351

154

963

4.402597

0.324675

0.079646

0.088496

0.061947

0.321534

0.244838

0.162242

0

0.030952

0.127726

963

26

119

37.038462

0.77619

0

0.111111

0

0.15784

0

1

0

false

0

0.111111

0

null

0

null

0

1

0

199dc81e3c59d04bf93fe983d5b45a4485997a89

2,227

py

Python

sources/install_deps.py

Radeon4650/PocketBudgetTracker

61b792f648e73e8043e42e0e1c55b3acf1868f90

[ "Apache-2.0" ]

1

2018-12-03T12:41:50.000Z

sources/install_deps.py

Radeon4650/PocketBudgetTracker

61b792f648e73e8043e42e0e1c55b3acf1868f90

[ "Apache-2.0" ]

16

2018-10-08T17:37:52.000Z

2019-01-06T12:02:54.000Z

sources/install_deps.py

Radeon4650/PocketBudgetTracker

61b792f648e73e8043e42e0e1c55b3acf1868f90

[ "Apache-2.0" ]

1

2018-10-11T20:01:05.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Copyright © 2018 PocketBudgetTracker. All rights reserved. Author: Andrey Shelest (khadsl1305@gmail.com) 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 Licens...

28.922078

76

0.671756

297

2,227

4.882155

0.451178

0.041379

0.022759

0.022069

0

0.008646

0.220925

2,227

76

77

29.302632

0.826513

0.322407

0

0.141522

0

1

0.105263

false

0

0.105263

0

0.289474

0.157895

0

null

0

null

0

1

0

199fc92154f499c85aed3bce44e91934109ae7d3

5,305

py

Python

tools/utils/building/layer.py

shinh/dldt

693ab4e79a428e0801f17f4511b129a3fa8f4a62

[ "Apache-2.0" ]

1

2021-02-20T21:48:36.000Z

tools/utils/building/layer.py

erinpark33/dldt

edd86d090592f7779f4dbb2681546e1f4e81284f

[ "Apache-2.0" ]

null

tools/utils/building/layer.py

erinpark33/dldt

edd86d090592f7779f4dbb2681546e1f4e81284f

[ "Apache-2.0" ]

1

2021-02-19T01:06:12.000Z

""" Copyright (C) 2018-2019 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...

33.575949

153

0.489915

559

5,305

4.422182

0.205725

0.048544

0.058252

0.31068

0.271845

0.252427

0.168285

0.135113

0

0.01036

0.381338

5,305

157

154

33.789809

0.74284

0.107069

0

0.357143

0

0.137661

0

1

0.095238

false

0

0.015873

0.063492

0.214286

0

null

0

null

0

1

0

19a02ddbcaad9d7bf3192c753f7e060611b72ae8

19,686

py

Python

tests/test_lightningStub.py

engenegr/lnd_grpc

89336bc83fcfa286dd7927e92fbc88293bd29547

[ "MIT" ]

null

tests/test_lightningStub.py

engenegr/lnd_grpc

89336bc83fcfa286dd7927e92fbc88293bd29547

[ "MIT" ]

null

tests/test_lightningStub.py

engenegr/lnd_grpc

89336bc83fcfa286dd7927e92fbc88293bd29547

[ "MIT" ]

null

import os import time import unittest import bitcoin.rpc import grpc import lnd_grpc.lnd_grpc as py_rpc import lnd_grpc.protos.rpc_pb2 as rpc_pb2 # from google.protobuf.internal.containers import RepeatedCompositeFieldContainer ####################### # Configure variables # ####################### CWD = os.getcwd...

39.689516

99

0.642436

2,299

19,686

5.219226

0.129622

0.086257

0.066006

0.070089

0.549129

0.460122

0.372781

0.331528

0.307359

0.291358

0

0.017615

0.264655

19,686

495

100

39.769697

0.811274

0.056131

0

0.296512

0

0.021832

0.012189

0

0.00202

0.209302

1

0.148256

false

0.026163

0.020349

0

0.174419

0

null

0

null

0

1

0

19a1cf2092a5e1441835b5519079835b5bb7b437

484

py

Python

20_valid_parens.py

claytonjwong/leetcode-py

16bbf8ac0ba5c80fe3ef67ade0d61a12991270a7

[ "MIT" ]

1

2020-07-15T14:16:23.000Z

20_valid_parens.py

claytonjwong/leetcode-py

16bbf8ac0ba5c80fe3ef67ade0d61a12991270a7

[ "MIT" ]

null

20_valid_parens.py

claytonjwong/leetcode-py

16bbf8ac0ba5c80fe3ef67ade0d61a12991270a7

[ "MIT" ]

null

# # 20. Valid Parentheses # # Q: https://leetcode.com/problems/valid-parentheses/ # A: https://leetcode.com/problems/valid-parentheses/discuss/9214/Kt-Js-Py3-Cpp-Stack # class Solution: def isValid(self, A: str) -> bool: s = [] for c in A: if c == '(': s.append(')') elif c...

26.888889

85

0.506198

63

484

3.888889

0.571429

0.032653

0.097959

0.146939

0.473469

0.146939

0

0.020958

0.309917

484

17

86

28.470588

0.712575

0.32438

0

0.01875

0

1

0.1

false

0

0.4

0

null

0

null

0

1

0

19a1f5173da1a19ab9a723e6c007b756a7bf4d27

1,474

py

Python

2016/23/solution.py

Artemigos/advent-of-code

0b2ae6af3788b9e6891219b2b64ce0d510b3e1aa

[ "MIT" ]

null

2016/23/solution.py

Artemigos/advent-of-code

0b2ae6af3788b9e6891219b2b64ce0d510b3e1aa

[ "MIT" ]

null

2016/23/solution.py

Artemigos/advent-of-code

0b2ae6af3788b9e6891219b2b64ce0d510b3e1aa

[ "MIT" ]

null

import common lines = common.read_file('2016/23/data.txt').splitlines() # part 1 eggs = 7 # part 2 eggs = 12 registers = dict(a=eggs, b=0, c=0, d=0) def get_val(val_spec): if val_spec in registers.keys(): return registers[val_spec] return int(val_spec) def is_reg(val_spec): return val_spec in r...

24.566667

58

0.501357

213

1,474

3.328639

0.262911

0.06347

0.067701

0.050776

0.187588

0.110014

0

0.045738

0.347354

1,474

59

24.983051

0.691268

0.014247

0

0.204082

0

0.038674

0

1

0.040816

false

0

0.020408

0.122449

0.040816

0

null

0

null

0

1

0

19a87db683c9165ec3ec45d64b90db5e4bc925f8

3,272

py

Python

src/experiment/experiment.py

ricoms/credit-fraud-dealing-with-imbalanced-datasets-mlops

aa483832493faa88affd00eff5489d03506abdeb

[ "MIT" ]

5

2021-04-29T22:20:08.000Z

2021-05-21T03:29:52.000Z

src/experiment/experiment.py

ricoms/credit-fraud-dealing-with-imbalanced-datasets-mlops

aa483832493faa88affd00eff5489d03506abdeb

[ "MIT" ]

null

src/experiment/experiment.py

ricoms/credit-fraud-dealing-with-imbalanced-datasets-mlops

aa483832493faa88affd00eff5489d03506abdeb

[ "MIT" ]

3

2021-04-29T22:41:59.000Z

2021-10-03T20:06:05.000Z

import sys from dataclasses import dataclass from io import StringIO from pathlib import Path from typing import Any import numpy as np from sklearn.model_selection import StratifiedKFold from utils.logger import logger from .artifacts import ExperimentArtifacts INPUT_COLUMNS = [ "Time", "V1", "V2", "V3", "V4", ...

31.161905

90

0.573655

394

3,272

4.611675

0.388325

0.019263

0.055036

0.011007

0.033021

0

0.034783

0.297066

3,272

104

91

31.461538

0.755217

0.003667

0

0.044944

0

0.104972

0.006753

0

1

0.05618

false

0

0.101124

0

0.247191

0

null

0

null

0

1

0

19b063208b212cda110697a8227b09dc8f98a0db

414

py

Python

catalog/bindings/csw/role.py

NIVANorge/s-enda-playground

56ae0a8978f0ba8a5546330786c882c31e17757a

[ "Apache-2.0" ]

null

catalog/bindings/csw/role.py

NIVANorge/s-enda-playground

56ae0a8978f0ba8a5546330786c882c31e17757a

[ "Apache-2.0" ]

null

catalog/bindings/csw/role.py

NIVANorge/s-enda-playground

56ae0a8978f0ba8a5546330786c882c31e17757a

[ "Apache-2.0" ]

null

from dataclasses import dataclass from bindings.csw.code_type_1 import CodeType1 __NAMESPACE__ = "http://www.opengis.net/ows" @dataclass class Role(CodeType1): """Function performed by the responsible party. Possible values of this Role shall include the values and the meanings listed in Subclause B.5.5...

24.352941

65

0.724638

58

414

5.068966

0.706897

0.088435

0.108844

0.156463

0.197279

0

0.041667

0.188406

414

16

66

25.875

0.833333

0.388889

0

0.222222

0

1

0

false

0

0.285714

0

0.571429

0

null

0

null

0

1

0

5fd63dd37aacbace93081d1f24365379814ddc62

1,847

py

Python

discogstagger/lyrics.py

makzyt4/discogs-tagger

b578257922230b634d43349f2efd4fda72fdd008

[ "MIT" ]

2

2019-09-05T04:26:20.000Z

2020-08-05T02:56:04.000Z

discogstagger/lyrics.py

makzyt4/discogs-tagger

b578257922230b634d43349f2efd4fda72fdd008

[ "MIT" ]

null

discogstagger/lyrics.py

makzyt4/discogs-tagger

b578257922230b634d43349f2efd4fda72fdd008

[ "MIT" ]

1

2019-10-02T13:07:34.000Z

import warnings import urllib warnings.filterwarnings("ignore", category=UserWarning) from fuzzywuzzy import fuzz from bs4 import BeautifulSoup from discogstagger.crawler import WebCrawler class LyricsSearcher: def __init__(self, artist_name): self.artist_name = artist_name self.url_base = "http:...

35.519231

74

0.593936

231

1,847

4.575758

0.320346

0.047304

0.039735

0.051088

0.119205

0.098392

0.049196

0

0.006084

0.288035

1,847

51

75

36.215686

0.797719

0

0.086957

0

0.082296

0.014618

0

1

0.065217

false

0

0.108696

0

0.326087

0

null

0

null

0

1

0

5fd7391d4fbb21e69c15f5d957bc435fc6d49a18

7,798

py

Python

env/lib/python3.7/site-packages/cleo/inputs/argv_input.py

Kolawole39/masonite-guides-tutorial

9a21cc635291a42f0722f69925be1809bb20e01c

[ "MIT" ]

null

env/lib/python3.7/site-packages/cleo/inputs/argv_input.py

Kolawole39/masonite-guides-tutorial

9a21cc635291a42f0722f69925be1809bb20e01c

[ "MIT" ]

null

env/lib/python3.7/site-packages/cleo/inputs/argv_input.py

Kolawole39/masonite-guides-tutorial

9a21cc635291a42f0722f69925be1809bb20e01c

[ "MIT" ]

null

# -*- coding: utf-8 -*- import sys import re from .input import Input from ..exceptions import NoSuchOption, BadOptionUsage, TooManyArguments class ArgvInput(Input): def __init__(self, argv=None, definition=None): super(ArgvInput, self).__init__(definition) if argv is None: argv = ...

33.467811

115

0.530649

892

7,798

4.497758

0.141256

0.059322

0.038136

0.02991

0.552094

0.392074

0.268943

0.234048

0.187936

0.166501

0

0.007733

0.369838

7,798

232

116

33.612069

0.80871

0.068094

0

0.345238

0

0.031164

0

1

0.077381

false

0

0.02381

0

0.178571

0

null

0

null

0

1

0

5fda0bec3ea02ea3a6f8218190306677fcc6bbb6

3,371

py

Python

digibanner.py

w4mhi/digipi

1fb00450cf9ed14a30c293e744848a7cad09f489

[ "MIT" ]

null

digibanner.py

w4mhi/digipi

1fb00450cf9ed14a30c293e744848a7cad09f489

[ "MIT" ]

null

digibanner.py

w4mhi/digipi

1fb00450cf9ed14a30c293e744848a7cad09f489

[ "MIT" ]

null

#!/usr/bin/python3 # direwatch """ Craig Lamparter KM6LYW, 2021, MIT License modified by W4MHI February 2022 - see the init_display.py module for display settings - see https://www.delftstack.com/howto/python/get-ip-address-python/ for the ip address """ import sys import argparse import time from netifaces import...

29.570175

110

0.664195

463

3,371

4.742981

0.37149

0.016393

0.027322

0.034608

0.126138

0.04827

0

0.033445

0.201721

3,371

113

111

29.831858

0.782609

0.159893

0

0.142857

0

0.184763

0

1

0.014286

false

0.042857

0.085714

0

0.114286

0.085714

0

null

0

null

0

1

0

5fdb29602cc883d0c3c33fa3a91c2d4157fe4739

7,007

py

Python

autotorrent/utils.py

jyggen/autotorrent

5a8f2b40ccc8c66c73dc520f98b886d21e163afa

[ "MIT" ]

278

2015-02-12T19:19:53.000Z

2022-03-22T21:17:28.000Z

autotorrent/utils.py

jyggen/autotorrent

5a8f2b40ccc8c66c73dc520f98b886d21e163afa

[ "MIT" ]

56

2015-03-27T00:38:37.000Z

2022-03-26T17:52:58.000Z

autotorrent/utils.py

jyggen/autotorrent

5a8f2b40ccc8c66c73dc520f98b886d21e163afa

[ "MIT" ]

48

2015-03-10T16:50:19.000Z

2022-03-20T12:11:50.000Z

from __future__ import division import hashlib import logging import os import re __all__ = [ 'is_unsplitable', 'get_root_of_unsplitable', 'Pieces', ] UNSPLITABLE_FILE_EXTENSIONS = [ set(['.rar', '.sfv']), set(['.mp3', '.sfv']), set(['.vob', '.ifo']), ] logger = logging.getLogger(__name__) ...

38.927778

154

0.572285

912

7,007

4.226974

0.210526

0.051362

0.037095

0.024903

0.318547

0.270558

0.222568

0.188067

0.136187

0.101167

0

0.008898

0.326388

7,007

179

155

39.145251

0.807839

0.104467

0

0.248

0

0.008

0.162973

0.017275

0

1

0.048

false

0

0.04

0

0.144

0

null

0

null

0

1

0

5fdbaa30fa591b9ff594e38b62a435e122fd9e26

232

py

Python

Documentation/matplotlib/users/tight_layout_guide-11.py

leesavide/pythonista-docs-deprecated

9ec3363f07e328bde0a58738a16907f11dfd06e1

[ "Apache-2.0" ]

16

2016-06-14T19:45:35.000Z

2020-11-30T19:02:58.000Z

Documentation/matplotlib/users/tight_layout_guide-11.py

leesavide/pythonista-docs

9ec3363f07e328bde0a58738a16907f11dfd06e1

[ "Apache-2.0" ]

1

2016-06-15T07:10:27.000Z

Documentation/matplotlib/users/tight_layout_guide-11.py

leesavide/pythonista-docs

9ec3363f07e328bde0a58738a16907f11dfd06e1

[ "Apache-2.0" ]

null

gs2 = gridspec.GridSpec(3, 1) for ss in gs2: ax = fig.add_subplot(ss) example_plot(ax) ax.set_title("") ax.set_xlabel("") ax.set_xlabel("x-label", fontsize=12) gs2.tight_layout(fig, rect=[0.5, 0, 1, 1], h_pad=0.5)

21.090909

53

0.637931

44

232

3.204545

0.613636

0.106383

0.156028

0

0.072917

0.172414

232

11

53

21.090909

0.661458

0

0.030043

0

1

0

false

0

null

0

null

0

1

0

5fde36f357f3d09233e7473cce22e0c33f10115a

5,203

py

Python

scripts/posts.py

flashreads/mediumish-theme-jekyll

428e3338c00a3aee9fde119f0885496edd082f12

[ "MIT" ]

null

scripts/posts.py

flashreads/mediumish-theme-jekyll

428e3338c00a3aee9fde119f0885496edd082f12

[ "MIT" ]

null

scripts/posts.py

flashreads/mediumish-theme-jekyll

428e3338c00a3aee9fde119f0885496edd082f12

[ "MIT" ]

null

from argparse import ArgumentParser from datetime import datetime from os import path, listdir, getcwd, chdir import subprocess from dateutil.parser import parse as dt_parse from ruamel.yaml import YAML def transform_posts(src_dir, dest_dir, featured_path=None): featured = load_featured(featured_path) if feature...

32.51875

166

0.617528

667

5,203

4.628186

0.244378

0.036281

0.024295

0.018141

0.160674

0.135407

0.040168

0

0.000775

0.256006

5,203

159

167

32.72327

0.796693

0.01749

0

0.170732

0

0.126614

0

1

0.056911

false

0

0.04878

0

0.146341

0.01626

0

null

0

null

0

1

0

5fe3ceaa4d994eb74303ce409f0c500eac7328b4

4,262

py

Python

gelweb/gel2clin/views.py

moka-guys/GeL2MDT

09bf25b8452e2e887dbf74b1cd4771d234c6166c

[ "MIT" ]

null

gelweb/gel2clin/views.py

moka-guys/GeL2MDT

09bf25b8452e2e887dbf74b1cd4771d234c6166c

[ "MIT" ]

1

2020-02-06T13:17:40.000Z

gelweb/gel2clin/views.py

byronmews/GeL2MDT

1449831f0d7c570b71e7f46fb4dd1fcb805b0325

[ "MIT" ]

null

"""Copyright (c) 2018 Great Ormond Street Hospital for Children NHS Foundation Trust & Birmingham Women's and Children's NHS Foundation Trust Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software withou...

45.827957

106

0.644533

477

4,262

5.660377

0.392034

0.032593

0.035185

0.05

0.298148

0.215556

0.201481

0.167407

0

0.004274

0.286251

4,262

92

107

46.326087

0.8833

0.358048

0

0.272727

0

0.128765

0.044051

0

1

0.090909

false

0

0.181818

0.022727

0.386364

0

null

0

null

0

1

0

5fea42b894dab2e2c30e2950d94a43b828f9c4c1

1,743

py

Python

research/controllers/cartpole_regression_sysid.py

MinRegret/TigerControl

b1ca0617cbb2198f9d5cb37f725f3d7accbab08f

[ "Apache-2.0" ]

31

2019-11-08T06:01:54.000Z

2021-11-20T04:50:43.000Z

research/controllers/cartpole_regression_sysid.py

johnhallman/ctsb

b1ca0617cbb2198f9d5cb37f725f3d7accbab08f

[ "Apache-2.0" ]

32

2019-06-27T15:05:04.000Z

2019-08-07T04:23:47.000Z

research/controllers/cartpole_regression_sysid.py

MinRegret/tigercontrol

b1ca0617cbb2198f9d5cb37f725f3d7accbab08f

[ "Apache-2.0" ]

3

2020-09-30T17:06:50.000Z

2021-04-12T22:39:34.000Z

class RegressionSystemID: def __init__(self): self.initialized = False def initialize(self, n, m, K=None, learning_rate=0.001): self.initialized = True self.n, self.m = n, m self.T = 0 self.K = K if K != None else np.zeros((m, n)) self.lr = learning_rate ...

36.3125

71

0.560528

277

1,743

3.389892

0.288809

0.042599

0.089457

0.068158

0.317359

0.297125

0.246006

0.195953

0

0.017959

0.297189

1,743

48

72

36.3125

0.748571

0.126793

0

0.222222

0

0.027778

1

0.111111

false

0

0.194444

0

null

0

null

0

1

0

5fead45ea3ba403eb9b2c9548ef8cb56dd3f5f96

1,121

py

Python

binary_tree/vertical_order_traversal.py

x899/algorithms

38a5de72db14ef2664489da9857b598d24c4e276

[ "MIT" ]

472

2018-05-25T06:45:44.000Z

2020-01-06T15:46:09.000Z

binary_tree/vertical_order_traversal.py

pratik-a/algorithms-2

241115c64a7518c34f672eb2b851b05f353247f1

[ "MIT" ]

6

2020-01-25T22:22:44.000Z

2021-06-01T04:53:25.000Z

binary_tree/vertical_order_traversal.py

pratik-a/algorithms-2

241115c64a7518c34f672eb2b851b05f353247f1

[ "MIT" ]

44

2019-03-02T07:38:38.000Z

2020-01-01T16:05:06.000Z

""" Vertical Order Traversal On Binary Tree """ from collections import defaultdict class Node: """ class representing node in binary tree """ def __init__(self, data): self.data = data self.left = None self.right = None def preorder(root, horizontal_dist, hd_map): if root is No...

21.557692

52

0.6405

155

1,121

4.458065

0.335484

0.050651

0.05644

0.075253

0.147612

0.089725

0

0.015152

0.234612

1,121

51

53

21.980392

0.79021

0.127565

0

0.023134

0

1

0.129032

false

0

0.032258

0

0.225806

0.032258

0

null

0

null

0

1

0

5feaf4c73afb53db46a1e5e5e4652d4a41e6e80e

1,452

py

Python

data_preprocessing/load_cifar_ten.py

gwenniger/multi-hare

fb3f655cbbf4af6ccbfc77d587b8ea2924b300cd

[ "Apache-2.0" ]

7

2019-12-04T05:58:40.000Z

2021-08-04T07:19:55.000Z

data_preprocessing/load_cifar_ten.py

gwenniger/multi-hare

fb3f655cbbf4af6ccbfc77d587b8ea2924b300cd

[ "Apache-2.0" ]

null

data_preprocessing/load_cifar_ten.py

gwenniger/multi-hare

fb3f655cbbf4af6ccbfc77d587b8ea2924b300cd

[ "Apache-2.0" ]

4

2019-12-03T23:42:00.000Z

2020-12-19T19:48:04.000Z

import torchvision.transforms as transforms import torch import torchvision __author__ = "Dublin City University" __copyright__ = "Copyright 2019, Dublin City University" __credits__ = ["Gideon Maillette de Buy Wenniger"] __license__ = "Dublin City University Software License (enclosed)" def get_train_set(): tra...

37.230769

86

0.637741

170

1,452

5.211765

0.311765

0.027088

0.03386

0.045147

0.575621

0.494357

0.331828

0

0.038603

0.250689

1,452

38

87

38.210526

0.775735

0

0.344828

0

0.106061

0

1

0.137931

false

0

0.103448

0

0.37931

0

null

0

null

0

1

0

5feb07c430256fe7dba892fc904f0cd15150fcbf

1,018

py

Python

dprofiler/profile.py

disktnk/dprofiler

be820de440c21d3fef711db1220bfddb9bdee177

[ "MIT" ]

null

dprofiler/profile.py

disktnk/dprofiler

be820de440c21d3fef711db1220bfddb9bdee177

[ "MIT" ]

3

2018-10-16T04:03:50.000Z

2018-10-17T01:34:16.000Z

dprofiler/profile.py

disktnk/dprofiler

be820de440c21d3fef711db1220bfddb9bdee177

[ "MIT" ]

null

import cProfile import functools import logging import pstats import sys import six _logger = logging.getLogger(__name__) _logger.setLevel(logging.DEBUG) _stream_handler = logging.StreamHandler(sys.stdout) _stream_handler.setLevel(logging.DEBUG) _logger.addHandler(_stream_handler) def profile( fn=None, sor...

23.674419

78

0.642436

125

1,018

5.064

0.384

0.044234

0.063191

0

0.002608

0.246562

1,018

42

79

24.238095

0.822686

0

0.006876

0

1

0.060606

false

0

0.181818

0

0.333333

0.030303

0

null

0

null

0

1

0

5fec5184bee3516b0d2cd771d0ad21b3d6f1997f

3,948

py

Python

server.py

HusseinKabbout/qwc-document-service

c8d856390006e0f5ecc0d28b0d53da55e5505381

[ "MIT" ]

null

server.py

HusseinKabbout/qwc-document-service

c8d856390006e0f5ecc0d28b0d53da55e5505381

[ "MIT" ]

null

server.py

HusseinKabbout/qwc-document-service

c8d856390006e0f5ecc0d28b0d53da55e5505381

[ "MIT" ]

1

2020-04-24T11:36:26.000Z

import os import sys from urllib.parse import urlencode from flask import Flask, Response, abort, request, stream_with_context, jsonify from flask_restx import Api, Resource, fields, reqparse import requests from qwc_services_core.api import CaseInsensitiveArgument from qwc_services_core.app import app_nocache from q...

32.360656

79

0.680091

470

3,948

5.546809

0.342553

0.01611

0.034522

0.043728

0.049099

0

0.012775

0.20694

3,948

121

80

32.628099

0.819866

0.113222

0

0.075949

0

0.165532

0

1

0.050633

false

0

0.151899

0.025316

0.265823

0.012658

0

null

0

null

0

1

0

5fedb1afd0a343dd3c21ad7f3aee3e96bedef35d

403

py

Python

scripts/Government Spending.py

MarcosDaNight/Dashboard-COVID19

26967d2fb7b3dd44c3c51b8ac79608d91bf26d71

[ "MIT" ]

null

scripts/Government Spending.py

MarcosDaNight/Dashboard-COVID19

26967d2fb7b3dd44c3c51b8ac79608d91bf26d71

[ "MIT" ]

null

scripts/Government Spending.py

MarcosDaNight/Dashboard-COVID19

26967d2fb7b3dd44c3c51b8ac79608d91bf26d71

[ "MIT" ]

null

from matplotlib import pyplot as plt # data speding from Federal Government Plan planes = ['Transferência para saúde', 'FPE e FPM', 'Assistência Social', 'Suspensão de dívidas da União', 'Renegociação com bancos'] spend = [8, 16, 2, 12.6, 9.3] plt.axis("equal") plt.pie(spend, labels=planes, ...

22.388889

73

0.665012

56

403

4.785714

0.875

0

0.034268

0.203474

403

17

74

23.705882

0.800623

0.101737

0

0.431085

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

5ff029ed47a23de0243a31bef9cc5542860e44d1

867

py

Python

ngo_point1/ngo_requirements/urls.py

Sanayshah2/T046_Scrapshut

ecb269373e9b78a738ceb99675379ca21ee313a5

[ "MIT" ]

null

ngo_point1/ngo_requirements/urls.py

Sanayshah2/T046_Scrapshut

ecb269373e9b78a738ceb99675379ca21ee313a5

[ "MIT" ]

null

ngo_point1/ngo_requirements/urls.py

Sanayshah2/T046_Scrapshut

ecb269373e9b78a738ceb99675379ca21ee313a5

[ "MIT" ]

1

2021-04-23T17:06:44.000Z

from django.contrib import admin from django.urls import path from . import views from django.conf.urls import url urlpatterns = [ path('',views.home,name='home'), path('register/',views.register,name='register'), path('login/',views.Login,name='login'), path('logout/', views.logout_view, name='logou...

37.695652

110

0.726644

97

867

6.453608

0.309278

0.047923

0.052716

0.067093

0.083067

0

0.103806

867

23

111

37.695652

0.805663

0

0.339862

0.139401

0

1

0

false

0

0.25

0

0.25

0

null

0

null

0

1

0

5ff34356a914a7907c97352a87bdb8eb2ee14f4e

32,810

py

Python

parakeet/models/wavenet.py

lfchener/Parakeet

b0ba6e7bf9b44b6309ca45927d4405bb85fcd103

[ "Apache-2.0" ]

1

2021-02-03T12:11:21.000Z

parakeet/models/wavenet.py

gzfffff/Parakeet

a84b6d3383b2a8a5fb45d0c233bee1ed80d0b389

[ "Apache-2.0" ]

null

parakeet/models/wavenet.py

gzfffff/Parakeet

a84b6d3383b2a8a5fb45d0c233bee1ed80d0b389

[ "Apache-2.0" ]

null

# Copyright (c) 2020 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 appli...

33.548057

111

0.569857

3,966

32,810

4.595058

0.122794

0.015474

0.026997

0.01498

0.462961

0.426306

0.386633

0.358483

0.320292

0.283637

0

0.00983

0.333404

32,810

977

112

33.582395

0.823419

0.477141

0

0.299094

0

0.003021

0.013955

0

1

0.084592

false

0

0.039275

0

0.205438

0

null

0

null

0

1

0

5ff67231767a550306fa1eed298e972631db8363

1,407

py

Python

06/TemplateMaching.py

mastnk/GCIP

1d1ec23388629f145a021efd69797aa18b3891e3

[ "MIT" ]

null

06/TemplateMaching.py

mastnk/GCIP

1d1ec23388629f145a021efd69797aa18b3891e3

[ "MIT" ]

null

06/TemplateMaching.py

mastnk/GCIP

1d1ec23388629f145a021efd69797aa18b3891e3

[ "MIT" ]

null

import sys import cv2 # it is necessary to use cv2 library import numpy as np # https://docs.opencv.org/4.5.2/d4/dc6/tutorial_py_template_matching.html def main( input_filename, template_filename ): img = cv2.imread(input_filename,0) template = cv2.imread(template_filename,0) w, h = template.shape[::-1] ...

31.977273

105

0.668088

210

1,407

4.242857

0.428571

0.053872

0.047138

0.040404

0.047138

0

0.05403

0.197584

1,407

43

106

32.72093

0.735164

0.297797

0

0.08

0

0.118191

0

1

0.04

false

0

0.12

0

0.16

0.04

0

null

0

null

0

1

0

5ff692081eaaca772a3292cf14f5309c58c43958

516

py

Python

contest/tenka1-pbc2019/C_Stones.py

mola1129/atcoder

1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db

[ "MIT" ]

null

contest/tenka1-pbc2019/C_Stones.py

mola1129/atcoder

1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db

[ "MIT" ]

null

contest/tenka1-pbc2019/C_Stones.py

mola1129/atcoder

1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db

[ "MIT" ]

null

n = int(input()) s = input() bcnt = [0]*n wcnt = [0]*n result = 2 * 10 ** 5 # 累積和 if s[0] == "#": bcnt[0] = 1 if s[n-1] == ".": wcnt[n-1] = 1 for i in range(1,n): bcnt[i] = bcnt[i-1] if s[i] == "#": bcnt[i] += 1 for i in range(n-2,-1,-1): wcnt[i] = wcnt[i+1] if s[i] =...

17.2

45

0.45155

95

516

2.452632

0.221053

0.042918

0.051502

0.141631

0.154506

0

0.070028

0.30814

516

29

46

17.793103

0.582633

0.025194

0

0.008493

0

1

0

false

0

0.045455

0

null

0

null

0

1

0

5ff9658511513524516ba459b859ca485a53d2a3

9,413

py

Python

scripts/myclient.py

Anant16/Networks_Project

a0f15bde4b2625a5ffe382da958f04d4538d23d2

[ "MIT" ]

null

scripts/myclient.py

Anant16/Networks_Project

a0f15bde4b2625a5ffe382da958f04d4538d23d2

[ "MIT" ]

null

scripts/myclient.py

Anant16/Networks_Project

a0f15bde4b2625a5ffe382da958f04d4538d23d2

[ "MIT" ]

null

#!/usr/bin/env python3 """Script for Tkinter GUI chat client.""" from socket import AF_INET, socket, SOCK_STREAM from threading import Thread import tkinter from tkinter import filedialog, Tk import os import time def recv_file(): print("file request from ") fname = client_socket.recv(BUFSIZ).decode("utf8") ...

31.272425

125

0.627961

1,216

9,413

4.708059

0.17023

0.039825

0.022358

0.015371

0.64

0.591965

0.569258

0.535895

0.521572

0.477555

0

0.012742

0.241262

9,413

301

126

31.272425

0.788855

0.137257

0

0.495455

0

0.075978

0

1

0.05

false

0

0.027273

0

0.086364

0.113636

0

null

0

null

0

1

0

5ffb47974af4fe5ac023573e2b360b56ebf1ffbc

1,689

py

Python

issues/i10_parent.py

Raph-xyz/wexpect

c1e81b3a69d4d3821cb01b61bd5297b51a24539f

[ "MIT" ]

52

2019-04-24T14:38:43.000Z

2022-03-08T22:03:11.000Z

issues/i10_parent.py

Raph-xyz/wexpect

c1e81b3a69d4d3821cb01b61bd5297b51a24539f

[ "MIT" ]

51

2019-05-13T12:15:09.000Z

2021-12-15T14:00:15.000Z

issues/i10_parent.py

Raph-xyz/wexpect

c1e81b3a69d4d3821cb01b61bd5297b51a24539f

[ "MIT" ]

20

2019-07-15T15:48:31.000Z

2022-03-27T08:55:17.000Z

import wexpect import time import sys import os here = os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, here) from long_printer import puskas_wiki print(wexpect.__version__) # With quotes (C:\Program Files\Python37\python.exe needs quotes) python_executable = '"' + sys.executable + '" ' ...

26.390625

68

0.474837

172

1,689

4.55814

0.412791

0.044643

0.108418

0.114796

0.191327

0.132653

0.084184

0

0.013092

0.412078

1,689

63

69

26.809524

0.776435

0.060983

0

0.195652

0

0.026333

0

1

0.021739

false

0.021739

0.108696

0

0.130435

0.282609

0

null

0

null

0

1

0

5ffcd7c87c77f89439cef7d88357fcf225e1b8ea

3,694

py

Python

sir_sampler.py

bveitch/EpidPy

455cd67afa2efbb774300115abb5fc7d4600b37d

[ "BSD-3-Clause" ]

null

sir_sampler.py

bveitch/EpidPy

455cd67afa2efbb774300115abb5fc7d4600b37d

[ "BSD-3-Clause" ]

null

sir_sampler.py

bveitch/EpidPy

455cd67afa2efbb774300115abb5fc7d4600b37d

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jun 26 10:17:51 2020 description : Sampling methods from sir space to data space author : bveitch version : 1.0 project : EpidPy (epidemic modelling in python) Usage: Data fitting in least squares fit Also acts on labels for data ...

29.790323

78

0.554413

503

3,694

3.984095

0.244533

0.055888

0.03493

0.01996

0.336327

0.286427

0.259481

0.217565

0.163673

0

0.025247

0.313752

3,694

124

79

29.790323

0.765286

0.190309

0

0.277108

0

0.066913

0

0.060241

1

0.096386

false

0

0.012048

0

0.26506

0

null

0

null

0

1

0

2704c694bb778a6cd16b19f2de02eece854903d3

4,491

py

Python

reflect/menus.py

stefanthaler/daily-reflection

2aba4873742b205f75a71b2ce382d126153f14c5

[ "MIT" ]

null

reflect/menus.py

stefanthaler/daily-reflection

2aba4873742b205f75a71b2ce382d126153f14c5

[ "MIT" ]

null

reflect/menus.py

stefanthaler/daily-reflection

2aba4873742b205f75a71b2ce382d126153f14c5

[ "MIT" ]

null

from prompt_toolkit.key_binding import KeyBindings from prompt_toolkit import PromptSession,prompt,print_formatted_text from reflect.style import * import os from prompt_toolkit.shortcuts import clear from prompt_toolkit.formatted_text import FormattedText def get_menu(menu_items): message = [] for k in menu_...

30.760274

108

0.583389

556

4,491

4.553957

0.210432

0.049763

0.042654

0.03752

0.344787

0.298973

0.228673

0.193128

0

0.013595

0.26297

4,491

145

109

30.972414

0.75136

0.023603

0

0.272727

0

0.142466

0.015525

0

1

0.057851

false

0

0.049587

0

0.165289

0.016529

0

null

0

null

0

1

0

27059812bfb36013c718b5579e1caa2896f39e29

636

py

Python

matrix/main.py

oleggator/python-advanced

0e951fe6e7ae74129536ded5c02a9f1ea3337a7d

[ "MIT" ]

null

matrix/main.py

oleggator/python-advanced

0e951fe6e7ae74129536ded5c02a9f1ea3337a7d

[ "MIT" ]

2

2019-04-28T20:37:35.000Z

2019-10-29T08:11:24.000Z

matrix/main.py

oleggator/python-advanced

0e951fe6e7ae74129536ded5c02a9f1ea3337a7d

[ "MIT" ]

null

from matrix import Matrix as CMatrix from py_matrix import PyMatrix def test(matrix_class, rows=3, columns=2): m = matrix_class([ [column for column in range(row * columns, row * columns + columns)] for row in range(rows) ]) # # or # m = matrix_class([ # [1, 2], # [3, 4...

21.2

76

0.550314

89

636

3.797753

0.449438

0.097633

0.071006

0

0.025701

0.327044

636

29

77

21.931034

0.764019

0.240566

0

0.017058

0

1

0.111111

false

0

0.111111

0

0.222222

0

null

0

null

0

1

0

27085e60eb21632a2fb266c8e1fc048c12001579

3,947

py

Python

horizon_telemetry/compute/views.py

simonpasquier/horizon-telemetry-dashboard

f284ec6ae8b1932079852fe3e9ab4b7a27ff58d7

[ "Apache-2.0" ]

null

horizon_telemetry/compute/views.py

simonpasquier/horizon-telemetry-dashboard

f284ec6ae8b1932079852fe3e9ab4b7a27ff58d7

[ "Apache-2.0" ]

2

2017-10-10T07:30:41.000Z

2017-10-19T18:34:13.000Z

horizon_telemetry/compute/views.py

simonpasquier/horizon-telemetry-dashboard

f284ec6ae8b1932079852fe3e9ab4b7a27ff58d7

[ "Apache-2.0" ]

null

import datetime import json from django.conf import settings from django.http import HttpResponse from django.utils.translation import ugettext_lazy as _ from django.views.generic import TemplateView from horizon import exceptions, tables from horizon_telemetry.forms import DateForm from horizon_telemetry.utils.influ...

36.88785

100

0.593615

403

3,947

5.593052

0.295285

0.071872

0.055901

0.028394

0.322538

0.220497

0.185892

0

0.00255

0.304535

3,947

106

101

37.235849

0.818579

0.007601

0

0.185185

0

0.100383

0.021711

0

1

0.061728

false

0.012346

0.135802

0

0.333333

0

null

0

null

0

1

0

270baa9c084cf98e0065fdca116072edd2dacd09

1,335

py

Python

dz3/task3_5.py

EsipenkoAnna/PycharmProjects-EsipenkoAnna_2242

46fe55de36b7b1cfdeafcf685ea01c6220e16546

[ "MIT" ]

null

dz3/task3_5.py

EsipenkoAnna/PycharmProjects-EsipenkoAnna_2242

46fe55de36b7b1cfdeafcf685ea01c6220e16546

[ "MIT" ]

null

dz3/task3_5.py

EsipenkoAnna/PycharmProjects-EsipenkoAnna_2242

46fe55de36b7b1cfdeafcf685ea01c6220e16546

[ "MIT" ]

null

import random nouns = ["автомобиль", "лес", "огонь", "город", "дом"] adverbs = ["сегодня", "вчера", "завтра", "позавчера", "ночью"] adjectives = ["веселый", "яркий", "зеленый", "утопичный", "мягкий"] def get_jokes(count: int) -> list: #формируем список состящий из фраз. Каждая фраза содержит по три слова, которые сл...

36.081081

145

0.698127

180

1,335

5.033333

0.455556

0.119205

0.03532

0.050773

0.169978

0

0.005391

0.166292

1,335

37

146

36.081081

0.808625

0.211985

0

0.093333

0

1

0.076923

false

0

0.038462

0

0.192308

0.115385

0

null

0

null

0

1

0

27155b9a924aec60a88449cb892d18dddf705986

5,837

py

Python

bundled/linter/linter_server.py

luabud/vscode-pylint

2297f1a6210bf93f7d9c083e32c59ed03664ca05

[ "MIT" ]

null

bundled/linter/linter_server.py

luabud/vscode-pylint

2297f1a6210bf93f7d9c083e32c59ed03664ca05

[ "MIT" ]

null

bundled/linter/linter_server.py

luabud/vscode-pylint

2297f1a6210bf93f7d9c083e32c59ed03664ca05

[ "MIT" ]

null

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. """ Implementation of linting support over LSP. """ import json import pathlib import sys from typing import Dict, Sequence, Union # Ensure that will can import LSP libraries, and other bundled linter libraries sys.path.appe...

31.38172

88

0.664211

688

5,837

5.46657

0.297965

0.035895

0.027652

0.020207

0.229992

0.140654

0.1138

0.086147

0

0.003528

0.22306

5,837

185

89

31.551351

0.825799

0.182799

0

0.047619

0

0.086551

0.004667

0

1

0.055556

false

0.007937

0.055556

0

0.142857

0

null

0

null

0

1

0

271c49cbaa02490060b18e56f8f7193420d20ee7

2,411

py

Python

src/utils/roles.py

dciborow/SubscriptionPolicy

100718bca552fb92edcb1867a94aba1f2d131edc

[ "MIT" ]

null

src/utils/roles.py

dciborow/SubscriptionPolicy

100718bca552fb92edcb1867a94aba1f2d131edc

[ "MIT" ]

null

src/utils/roles.py

dciborow/SubscriptionPolicy

100718bca552fb92edcb1867a94aba1f2d131edc

[ "MIT" ]

null

from .cmdline import CmdUtils class AzRole: def __init__(self): self.subscription = None self.id = None self.name = None self.principalId = None self.principalName = None self.principalType = None self.roleDefinitionName = None self.roleDefinitionId ...

26.788889

106

0.520116

229

2,411

5.240175

0.257642

0.053333

0.04

0.06

0.321667

0

0.390709

2,411

89

107

27.089888

0.816882

0

0.355263

0

0.10332

0.026556

0

1

0.092105

false

0

0.013158

0

0.210526

0.013158

0

null

0

null

0

1

0

271fa52916c14e0243668b5ba4593d20238992fd

3,996

py

Python

ExCon/explainer.py

DarrenZhang01/ExCon

2467c2fa8c0c52edaf54091d2bfecd132eeae594

[ "Apache-2.0" ]

17

2021-11-30T03:50:24.000Z

2022-01-16T10:58:07.000Z

ExCon/explainer.py

DarrenZhang01/ExCon

2467c2fa8c0c52edaf54091d2bfecd132eeae594

[ "Apache-2.0" ]

1

2021-12-04T02:35:59.000Z

2021-12-05T00:53:35.000Z

ExCon/explainer.py

DarrenZhang01/ExCon

2467c2fa8c0c52edaf54091d2bfecd132eeae594

[ "Apache-2.0" ]

null

""" An utility class for initializing different explainer objects. """ from torch import nn import numpy as np from captum.attr import DeepLift, IntegratedGradients, ShapleyValueSampling, LayerGradCam, Saliency from captum.attr._utils.attribution import LayerAttribution class Explainer(nn.Module): def __init__(s...

47.571429

108

0.567067

400

3,996

5.61

0.27

0.108289

0.122549

0.142157

0.371658

0.334225

0.314617

0.266488

0

0.026129

0.32958

3,996

83

109

48.144578

0.811497

0.056056

0

0.28169

0

0.0417

0

1

0.042254

false

0

0.211268

0

0.295775

0

null

0

null

0

1

0

2723629eca545ab7058f06d730db5b5baa33b30a

3,516

py

Python

gdrive.py

abwilf/Factorized

64e7d2a54bbfbc8b1c5a2130f2b941c376402fe6

[ "MIT" ]

null

gdrive.py

abwilf/Factorized

64e7d2a54bbfbc8b1c5a2130f2b941c376402fe6

[ "MIT" ]

null

gdrive.py

abwilf/Factorized

64e7d2a54bbfbc8b1c5a2130f2b941c376402fe6

[ "MIT" ]

null

from __future__ import print_function import os.path from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request from google.oauth2.credentials import Credentials from apiclient.http import MediaFileUpload import gdown def gdrive...

45.662338

455

0.71587

485

3,516

5.057732

0.412371

0.025683

0.039136

0.046474

0.094578

0.041582

0

0.021959

0.158134

3,516

76

456

46.263158

0.806757

0.493458

0

0.163915

0.020637

0

1

0.057143

false

0

0.228571

0

0.285714

0.028571

0

null

0

null

0

1

0

2725c4c1b926b1b3e672d43af2ed2535f3dcf9a6

705

py

Python

web_ext/sseq_gui/tests/test_load.py

hoodmane/sseq

0f19a29c95486a629b0d054c703ca0a58999ae97

[ "Apache-2.0", "MIT" ]

7

2021-04-22T04:06:09.000Z

2022-01-25T04:05:49.000Z

web_ext/sseq_gui/tests/test_load.py

hoodmane/sseq

0f19a29c95486a629b0d054c703ca0a58999ae97

[ "Apache-2.0", "MIT" ]

68

2020-03-21T22:37:24.000Z

2022-03-31T02:51:35.000Z

web_ext/sseq_gui/tests/test_load.py

hoodmane/sseq

0f19a29c95486a629b0d054c703ca0a58999ae97

[ "Apache-2.0", "MIT" ]

5

2021-02-17T06:37:43.000Z

2022-02-01T03:53:22.000Z

import pytest from pathlib import Path @pytest.mark.parametrize("module", ["S_2", "S_3", "C2v14"]) def test_load(driver, module: str): driver.go("/") driver.driver.find_element_by_css_selector(f'a[data="{module}"]').click() driver.wait_complete() driver.check_svg(f"{module}_load.svg") @pytest.mark.p...

30.652174

85

0.673759

101

705

4.445545

0.435644

0.046771

0.093541

0.120267

0.561247

0.414254

0

0.019512

0.12766

705

22

86

32.045455

0.710569

0

0.470588

0

0.202837

0.041135

0

1

0.117647

false

0

0.117647

0

0.235294

0

null

0

null

0

1

0

2727cc439b34121ae42c9bebd5ffc173f65fc3c6

5,905

py

Python

foresight/environment/environment_info_support.py

thundra-io/thundra-agent-python

448e18c17d8730c381b2e2a773782cf80c5a7cfb

[ "Apache-2.0" ]

15

2021-07-28T08:03:50.000Z

2021-11-08T08:36:06.000Z

foresight/environment/environment_info_support.py

thundra-io/thundra-agent-python

448e18c17d8730c381b2e2a773782cf80c5a7cfb

[ "Apache-2.0" ]

1

2021-08-08T07:45:45.000Z

2021-08-08T12:41:36.000Z

foresight/environment/environment_info_support.py

thundra-io/thundra-agent-python

448e18c17d8730c381b2e2a773782cf80c5a7cfb

[ "Apache-2.0" ]

3

2021-08-07T14:19:23.000Z

2021-12-08T15:35:40.000Z

import os, logging from foresight.environment.git.git_helper import GitHelper from foresight.environment.git.git_env_info_provider import GitEnvironmentInfoProvider from foresight.environment.github.github_environment_info_provider import GithubEnvironmentInfoProvider from foresight.environment.gitlab.gitlab_environmen...

60.255102

150

0.720745

636

5,905

6.437107

0.237421

0.124573

0.087934

0.049585

0.461895

0.431119

0.414998

0.348315

0.303859

0.282853

0

0.000423

0.198645

5,905

98

151

60.255102

0.864751

0.171041

0

0.194805

0

0.101037

0.010166

0

1

0.038961

false

0.038961

0.155844

0

0.233766

0.090909

0

null

0

null

0

1

0

272ad5e735d859c51d641dfdb613ff9296e5cbee

660

py

Python

Problem_Solving/Algorithms/Warmup/6_Plus_Minus/Solution.py

CFLSousa/HackerRank

29ed039634e88d72981b2ecd619e5c65d37111e4

[ "MIT" ]

null

Problem_Solving/Algorithms/Warmup/6_Plus_Minus/Solution.py

CFLSousa/HackerRank

29ed039634e88d72981b2ecd619e5c65d37111e4

[ "MIT" ]

null

Problem_Solving/Algorithms/Warmup/6_Plus_Minus/Solution.py

CFLSousa/HackerRank

29ed039634e88d72981b2ecd619e5c65d37111e4

[ "MIT" ]

null

import math import os import random import re import sys def plusMinus(arr): posNums=0.0 negNums=0.0 zeroNums=0.0 posFraction=0.0 negFraction=0.0 zeroFraction=0.0 arrLen=len(arr) for i in range(arrLen): if arr[i]==0: zeroNums+=1 elif arr[i]>0: po...

18.333333

71

0.59697

88

660

4.386364

0.431818

0.031088

0.025907

0

0.04158

0.271212

660

35

72

18.857143

0.760915

0

0.09697

0.084848

0

1

0.035714

false

0

0.178571

0

0.214286

0.035714

0

null

0

null

0

1

0

272af550504e85a1489b88397788f6d4d8f037c0

1,403

py

Python

golang/godoc.py

nlfiedler/devscripts

122c7b1424b457d7d5499552065da83d76f6b922

[ "BSD-3-Clause" ]

null

golang/godoc.py

nlfiedler/devscripts

122c7b1424b457d7d5499552065da83d76f6b922

[ "BSD-3-Clause" ]

1

2015-03-04T15:01:08.000Z

golang/godoc.py

nlfiedler/devscripts

122c7b1424b457d7d5499552065da83d76f6b922

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 """Start the godoc server and open the docs in a browser window. This uses the 'open' command to open a web browser. """ import argparse import http import http.client import subprocess import time def is_ready(host, port): """Check if the web server returns an OK status.""" conn = h...

26.980769

88

0.639344

190

1,403

4.647368

0.473684

0.05436

0.037373

0.050963

0.061155

0

0.008459

0.241625

1,403

51

89

27.509804

0.821429

0.259444

0

0.159136

0

1

0.066667

false

0

0.166667

0

0.3

0.033333

0

null

0

null

0

1

0

272f0cf0754b945f03c4fe2b4a5977930d84644b

1,752

py

Python

7_kyu/grow_of_population.py

dimishpatriot/way_on_the_highway

4865db946632b7bd3d74509a20a307841c02169d

[ "MIT" ]

null

7_kyu/grow_of_population.py

dimishpatriot/way_on_the_highway

4865db946632b7bd3d74509a20a307841c02169d

[ "MIT" ]

null

7_kyu/grow_of_population.py

dimishpatriot/way_on_the_highway

4865db946632b7bd3d74509a20a307841c02169d

[ "MIT" ]

null

"""In a small town the population is p0 = 1000 at the beginning of a year. The population regularly increases by 2 percent per year and moreover 50 new inhabitants per year come to live in the town. How many years does the town need to see its population greater or equal to p = 1200 inhabitants? 1) At the end of the f...

30.736842

97

0.673516

295

1,752

3.986441

0.39322

0.017007

0.020408

0.02551

0.079082

0.045918

0

0.138971

0.223744

1,752

56

98

31.285714

0.725735

0.652968

0

0.019967

0

0.05

1

0.1

false

0

0.05

0

0.2

0

null

0

null

0

1

0

273038458cb6e72fc3b79b5c6ab692951f85b0c3

4,144

py

Python

pysimplegui/DemoPrograms/Demo_Multithreaded_Long_Task_Simple.py

konsan1101/py-etc

bcca13119b0d2453866988404fd1c4976f55d4d5

[ "MIT" ]

null

pysimplegui/DemoPrograms/Demo_Multithreaded_Long_Task_Simple.py

konsan1101/py-etc

bcca13119b0d2453866988404fd1c4976f55d4d5

[ "MIT" ]

2

2020-06-06T00:30:56.000Z

2021-06-10T22:30:37.000Z

pysimplegui/DemoPrograms/Demo_Multithreaded_Long_Task_Simple.py

konsan1101/py-etc

bcca13119b0d2453866988404fd1c4976f55d4d5

[ "MIT" ]

null

#!/usr/bin/python3 import threading import time import PySimpleGUI as sg """ DESIGN PATTERN - Multithreaded Long Tasks GUI using shared global variables Presents one method for running long-running operations in a PySimpleGUI environment. The PySimpleGUI code, and thus the underlying GUI framework, ru...

41.029703

138

0.625483

555

4,144

4.594595

0.392793

0.021961

0.017647

0.018039

0.021961

0

0.011468

0.263514

4,144

100

139

41.44

0.82405

0.189189

0

0.035088

0

0.195652

0

1

0.035088

false

0

0.052632

0

0.087719

0.105263

0

null

0

null

0

1

0

27346ed4d6dc889abd1e3fa083354a32e52ae98a

2,024

py

Python

chmap/examples/defunct/EUV_map_query_options.py

predsci/CHD

35f29d1b62861f4ffed57b38d18689b282664bcf

[ "Apache-2.0" ]

3

2021-06-29T00:23:47.000Z

2021-09-17T18:29:05.000Z

chmap/examples/defunct/EUV_map_query_options.py

predsci/CHD

35f29d1b62861f4ffed57b38d18689b282664bcf

[ "Apache-2.0" ]

null

chmap/examples/defunct/EUV_map_query_options.py

predsci/CHD

35f29d1b62861f4ffed57b38d18689b282664bcf

[ "Apache-2.0" ]

1

2021-12-08T06:26:18.000Z

import os import datetime import pandas as pd from chmap.settings.app import App from chmap.database.db_classes import * from chmap.database.deprecated.db_funs import init_db_conn from sqlalchemy.orm import joinedload # Assume that we are using images from the 'reference_data' setup supplied with repo # manually s...

37.481481

125

0.76334

332

2,024

4.358434

0.310241

0.055978

0.03801

0.026952

0.34416

0.225294

0.163096

0.107809

0

0.015499

0.139328

2,024

53

126

38.188679

0.815155

0.172925

0

0.041491

0

1

0

false

0

0.225806

0

0.225806

0.032258

0

null

0

null

0

1

0

27376a84a1f1ba1faffcc4132873b55e2e8ca9cd

308

py

Python

hasensor/sensors/announcer.py

eblanton/hasensor

4421bf939f0904fc85ecbdfbd404dabe33c1c443

[ "BSD-2-Clause" ]

1

2020-01-02T21:53:22.000Z

hasensor/sensors/announcer.py

eblanton/hasensor

4421bf939f0904fc85ecbdfbd404dabe33c1c443

[ "BSD-2-Clause" ]

null

hasensor/sensors/announcer.py

eblanton/hasensor

4421bf939f0904fc85ecbdfbd404dabe33c1c443

[ "BSD-2-Clause" ]

null

from ..sensor import ArgDict, Sensor class Announcer(Sensor): _argtypes: ArgDict = { "value": str } def __init__(self, value: str = "ON", **kwargs): super().__init__(**kwargs) self._value = value def fire(self): self._loop.publish(self.name, self._value)

19.25

52

0.594156

35

308

4.885714

0.542857

0.157895

0

0.266234

308

15

53

20.533333

0.756637

0

0.022727

0

1

0.2

false

0

0.1

0

0.5

0

null

0

null

0

1

0

273b0739f92587e2927e090ad5eb2c6345702f86

7,295

py

Python

src/news/collector.py

aibazhang/multitrue-bot

189c5163010269eec57ae48f8e9d08d22ed5fcb8

[ "MIT" ]

null

src/news/collector.py

aibazhang/multitrue-bot

189c5163010269eec57ae48f8e9d08d22ed5fcb8

[ "MIT" ]

null

src/news/collector.py

aibazhang/multitrue-bot

189c5163010269eec57ae48f8e9d08d22ed5fcb8

[ "MIT" ]

null

import os import requests import json import pathlib from abc import ABCMeta, abstractmethod from .news import News, print_format_markdown, print_format_telebot KEY_PATH = pathlib.Path(os.path.dirname(__file__), "../..") class NewsCollector(metaclass=ABCMeta): @abstractmethod def format_news(self): ...

29.534413

110

0.580123

834

7,295

4.874101

0.173861

0.054121

0.0369

0.02091

0.439114

0.35695

0.318081

0.259041

0.241574

0.233948

0

0.000588

0.300754

7,295

246

111

29.654472

0.796118

0.026868

0

0.529703

0

0.101784

0.003681

0

1

0.108911

false

0.024752

0.029703

0

0.183168

0.089109

0

null

0

null

0

1

0

273c940a6cfe38710caeba8144fda95ba8e580c5

9,282

py

Python

scheduler/generation.py

richplane/PyREmatcher

93df987478849e5905f0ee5c9ee79801479acb1e

[ "Apache-2.0" ]

1

2020-03-10T14:35:32.000Z

scheduler/generation.py

richplane/PyREmatcher

93df987478849e5905f0ee5c9ee79801479acb1e

[ "Apache-2.0" ]

null

scheduler/generation.py

richplane/PyREmatcher

93df987478849e5905f0ee5c9ee79801479acb1e

[ "Apache-2.0" ]

null

# Renewable generation at Findhorn from windpowerlib import WindFarm from windpowerlib import WindTurbine from windpowerlib import WindTurbineCluster from windpowerlib.turbine_cluster_modelchain import TurbineClusterModelChain import pvlib from pvlib.pvsystem import PVSystem from pvlib.location import Location from pvl...

34

88

0.607735

997

9,282

5.447342

0.281846

0.0232

0.019149

0.026514

0.207697

0.176211

0.039772

0.022095

0

0.007939

0.307908

9,282

272

89

34.125

0.837484

0.215471

0

0.068323

0

0.112698

0

0.003676

0

1

0.031056

false

0.012422

0.10559

0

0.173913

0

null

0

null

0

1

0

273e3b061e019a5cb896032af82de6f73be47078

1,985

py

Python

app.py

twitterdev/getting-started-with-dash

f0c81a03d0f31ed787a90492d2412c9fe48eeb6d

[ "Apache-2.0" ]

2

2022-03-13T22:54:16.000Z

2022-03-28T02:37:48.000Z

app.py

twitterdev/getting-started-with-dash

f0c81a03d0f31ed787a90492d2412c9fe48eeb6d

[ "Apache-2.0" ]

null

app.py

twitterdev/getting-started-with-dash

f0c81a03d0f31ed787a90492d2412c9fe48eeb6d

[ "Apache-2.0" ]

null

import dash import dash_bootstrap_components as dbc import dash_core_components as dcc import dash_html_components as html import plotly.express as px import pandas as pd import os import requests app = dash.Dash(external_stylesheets=[dbc.themes.JOURNAL]) server = app.server search_url = "https://api.twitter.com/2/t...

26.824324

131

0.665995

250

1,985

5.116

0.5

0.031274

0.04222

0.039093

0.05473

0

0.004991

0.192443

1,985

73

132

27.191781

0.792888

0

0.074074

0

0.018519

0.255416

0

1

0.037037

false

0

0.148148

0

0.222222

0.018519

0

null

0

null

0

1

0

273f6a820dd8f3aeae5864ba60eb32fd5d0541ad

2,398

py

Python

testing/statistic.py

methk/RadixDLT-IoTSimulation

886ba589c8e7be08c95cf3636438c10e97e16752

[ "MIT" ]

null

testing/statistic.py

methk/RadixDLT-IoTSimulation

886ba589c8e7be08c95cf3636438c10e97e16752

[ "MIT" ]

3

2021-03-09T21:18:22.000Z

2021-09-02T01:05:44.000Z

testing/statistic.py

methk/RadixDLT-IoTSimulation

886ba589c8e7be08c95cf3636438c10e97e16752

[ "MIT" ]

1

2022-02-18T14:51:46.000Z

import os import csv import numpy as np import scipy.stats import matplotlib.pyplot as plt plt.style.use('seaborn-whitegrid') def mean_confidence_interval(data, confidence=0.95): a = 1.0 * np.array(data) n = len(a) m, se = np.mean(a), scipy.stats.sem(a) h = se * scipy.stats.t.ppf((1 + confidence) / 2....

27.25

95

0.565888

259

2,398

5.223938

0.416988

0.022173

0.03252

0.033999

0.035477

0

0.025989

0.293995

2,398

87

96

27.563218

0.773184

0

0.027778

0

0.052544

0

1

0.013889

false

0

0.069444

0

0.097222

0.041667

0

null

0

null

0

1

0

273feec7e2e1888ae2ab4fb11f3421c980ee0353

4,844

py

Python

skutil/preprocessing/tests/test_balance.py

tgsmith61591/pynorm

672e353a721036791e1e32250879c3276961e05a

[ "BSD-3-Clause" ]

38

2016-08-31T19:24:13.000Z

2021-06-28T17:10:20.000Z

skutil/preprocessing/tests/test_balance.py

tgsmith61591/pynorm

672e353a721036791e1e32250879c3276961e05a

[ "BSD-3-Clause" ]

42

2016-06-20T19:07:21.000Z

2017-10-29T20:53:11.000Z

skutil/preprocessing/tests/test_balance.py

tgsmith61591/pynorm

672e353a721036791e1e32250879c3276961e05a

[ "BSD-3-Clause" ]

17

2016-06-27T18:07:53.000Z

2019-04-09T12:33:59.000Z

from __future__ import print_function import pandas as pd import numpy as np from sklearn.datasets import load_iris from skutil.preprocessing import * from skutil.preprocessing.balance import _BaseBalancer from numpy.testing import assert_array_equal from skutil.testing import assert_fails import warnings # Def data f...

27.367232

93

0.635632

678

4,844

4.41003

0.233038

0.051171

0.069231

0.430435

0.396656

0.317057

0.280936

0.247492

0

0.036987

0.240917

4,844

176

94

27.522727

0.776176

0.091453

0

0.48

0

0.021427

0

0.256

1

0.08

false

0

0.072

0.008

0.176

0.008

0

null

0

null

0

1

0

274247c350250c602de94ec641a4010f931234e4

3,540

py

Python

options/running_options.py

kwshh/ImageDeconvlution

561468463372a5727b553efa0330fc75901e29fc

[ "MIT" ]

25

2019-05-10T13:51:25.000Z

2021-10-13T01:35:43.000Z

options/running_options.py

kwshh/ImageDeconvlution

561468463372a5727b553efa0330fc75901e29fc

[ "MIT" ]

8

2019-05-10T13:51:07.000Z

2021-06-03T07:13:28.000Z

options/running_options.py

kwshh/ImageDeconvlution

561468463372a5727b553efa0330fc75901e29fc

[ "MIT" ]

7

2020-08-15T09:16:11.000Z

2021-07-06T21:54:20.000Z

import argparse def str2bool(v): if v.lower() in ('yes', 'true', 't', 'y', '1'): return True elif v.lower() in ('no', 'false', 'f', 'n', '0'): return False else: raise argparse.ArgumentTypeError('Boolean value expected.') class Options(): def __init__(self): """Reset t...

41.647059

110

0.487288

342

3,540

4.97076

0.383041

0.068824

0.13

0.061765

0.127059

0

0.00849

0.367797

3,540

84

111

42.142857

0.751117

0.062712

0

0.197183

0

0.177093

0

1

0.070423

false

0

0.014085

0

0.15493

0.070423

0

null

0

null

0

1

0

2743e4857e6a05d46ea22a4c0d0bcac87b1eae86

982

py

Python

python/scanr_doiresolver-0.10/scanr_doiresolver/main.py

dataesr/scanr-backend

39681be69b9a96b4a07b9410754c897cd5b65c24

[ "MIT" ]

null

python/scanr_doiresolver-0.10/scanr_doiresolver/main.py

dataesr/scanr-backend

39681be69b9a96b4a07b9410754c897cd5b65c24

[ "MIT" ]

null

python/scanr_doiresolver-0.10/scanr_doiresolver/main.py

dataesr/scanr-backend

39681be69b9a96b4a07b9410754c897cd5b65c24

[ "MIT" ]

null

import json from companies_plugin import extractor from companies_plugin.utils import add_logger from scanr_doiresolver import LIB_PATH from scanr_doiresolver.resolver import resolve_publications @add_logger class Extractor(extractor.Extractor): def extract(self, headers, properties, message): """ ...

30.6875

96

0.602851

104

982

5.432692

0.471154

0.042478

0.067257

0

0.272912

982

31

97

31.677419

0.791317

0.089613

0

0.107728

0

1

0.047619

false

0

0.238095

0

0.380952

0

null

0

null

0

1

0

27484ca2bc8228c9f67c0d19e4ae6ba4c2b57e35

555

py

Python

tests/solvers/__init__.py

neuyhwu/MIPLearn

c6b31a827d6c6e682d45171f21478162c0bc46d6

[ "BSD-3-Clause" ]

64

2020-02-27T01:24:40.000Z

2022-03-31T12:38:56.000Z

tests/solvers/__init__.py

neuyhwu/MIPLearn

c6b31a827d6c6e682d45171f21478162c0bc46d6

[ "BSD-3-Clause" ]

3

2020-04-07T14:43:31.000Z

2021-01-15T14:02:01.000Z

tests/solvers/__init__.py

zclab/MIPLearn

9bd64c885aa645d41c30fa0ec4e0eedfaf703dac

[ "BSD-3-Clause" ]

13

2020-03-30T16:41:38.000Z

2022-02-17T15:38:01.000Z

# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization # Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved. # Released under the modified BSD license. See COPYING.md for more details. from io import StringIO from miplearn.solvers import _RedirectOutput def test_redirec...

30.833333

82

0.731532

70

555

5.714286

0.728571

0.07

0

0.01766

0.183784

555

17

83

32.647059

0.865342

0.403604

0

0.07362

0

0.2

1

0.1

false

0

0.3

0

0.4

0.1

0

null

0

null

0

1

0

27486b3592aa44c1f3081be500edb4d9d40e6414

1,717

py

Python

QuantumBlack Machine Learning Software Engineer 2019/Correlation.py

sivolko/codeforce

4b00c4c012780036e56d2f0e79adb2f5db7559df

[ "MIT" ]

3

2021-04-21T07:11:33.000Z

2022-01-09T00:05:55.000Z

InterviewChallenges/QuantumBlack Machine Learning Software Engineer 2019/Correlation.py

sweetpand/Algorithms

2e4dcf2d42de25531fae5b4ec0d96ce100043117

[ "MIT" ]

null

InterviewChallenges/QuantumBlack Machine Learning Software Engineer 2019/Correlation.py

sweetpand/Algorithms

2e4dcf2d42de25531fae5b4ec0d96ce100043117

[ "MIT" ]

null

import math def Correlation(scores): physics = [] maths = [] chemistry = [] for each_scores in scores: values = each_scores.split("\t") maths.append(int(values[0])) physics.append(int(values[1])) chemistry.append(int(values[2])) length = len(physics) value1 = ...

33.019231

115

0.638905

235

1,717

4.582979

0.404255

0.092851

0.041783

0.029712

0

0.107321

0.180547

1,717

51

116

33.666667

0.658138

0.159581

0

0.141463

0

1

0.068966

false

0

0.034483

0

0.172414

0.034483

0

null

0

null

0

1

0

27491dfc485679f55f2ea50c1629c408b70c365b

2,292

py

Python

src/gpuz/data_helper.py

scalasm/gpuz-log-analysis

c9a6dd46bf8a12120c9d284411c5b1562b97fdfd

[ "Apache-2.0" ]

null

src/gpuz/data_helper.py

scalasm/gpuz-log-analysis

c9a6dd46bf8a12120c9d284411c5b1562b97fdfd

[ "Apache-2.0" ]

null

src/gpuz/data_helper.py

scalasm/gpuz-log-analysis

c9a6dd46bf8a12120c9d284411c5b1562b97fdfd

[ "Apache-2.0" ]

null

import logging from typing import Optional, List, Any import gpuz.utility as utility from pathlib import Path import os import pandas as pd from pandas.core.frame import DataFrame import numpy as np import matplotlib as mp logger: logging.Logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) class D...

32.742857

94

0.665794

313

2,292

4.57508

0.284345

0.115223

0.073324

0.050279

0.25419

0.219274

0.173184

0.121508

0.065642

0

0.238656

2,292

69

95

33.217391

0.82063

0.014398

0

0.078431

0

0.116083

0.011077

0

1

0.137255

false

0

0.176471

0.039216

0.431373

0.019608

0

null

0

null

0

1

0

274a678ce7ef66ccf7cfb21453ee41a8617d1632

4,173

py

Python

m5-101/content/solutions/web-crawler/section1&2&3.py

PaulCCCCCCH/m5-101

81201b00cd81c1747ea0cd5f042a09eda02d6d1c

[ "MIT" ]

4

2021-03-25T13:15:38.000Z

2021-11-10T12:29:19.000Z

m5-101/content/solutions/web-crawler/section1&2&3.py

PaulCCCCCCH/m5-101

81201b00cd81c1747ea0cd5f042a09eda02d6d1c

[ "MIT" ]

null

m5-101/content/solutions/web-crawler/section1&2&3.py

PaulCCCCCCH/m5-101

81201b00cd81c1747ea0cd5f042a09eda02d6d1c

[ "MIT" ]

4

2021-03-25T13:18:10.000Z

2021-04-08T13:44:48.000Z

from posix import listdir import requests from bs4 import BeautifulSoup as bs import math import sys, getopt import re import os def re_cleaner(target: str, rep: str) -> str: return re.sub("[^0-9a-zA-Z]+", rep, target) # For Oxford ============================================================================== ...

32.601563

163

0.578481

564

4,173

4.161348

0.264184

0.03579

0.030677

0.014061

0.438858

0.388581

0.362164

0.34853

0.334043

0

0.00328

0.196262

4,173

127

164

32.858268

0.696482

0.677211

0

0.088767

0

1

0.057143

false

0

0.257143

0.028571

0.371429

0.028571

0

null

0

null

0

1

0

274f3dedfd8af9c5162a6375c14921ce4ca86095

6,319

py

Python

sandbox/andrew/run_trpo_strike.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

49

2017-12-11T11:00:02.000Z

2022-03-30T05:19:31.000Z

sandbox/andrew/run_trpo_strike.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

2

2018-01-01T17:39:56.000Z

2019-07-24T04:49:08.000Z

sandbox/andrew/run_trpo_strike.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

12

2017-12-13T11:52:17.000Z

2020-12-03T00:53:29.000Z

import os from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline # from rllab.envs.mujoco.gather.swimmer_gather_env import SwimmerGatherEnv os.environ["THEANO_FLAGS"] = "device=cpu" from rllab.envs.gym_env import GymEnv from rllab.envs.normalized_env import normalize from rllab.policies.gaussian_mlp...

37.613095

100

0.547238

689

6,319

4.869376

0.34688

0.034873

0.021461

0.019076

0.273323

0.157377

0.12459

0.08763

0.05842

0

0.057545

0.337237

6,319

167

101

37.838323

0.743553

0.109828

0

0.030534

0

0.090114

0.025161

0

1

0.007634

false

0

0.114504

0

0.129771

0

null

0

null

0

1

0

27516da8559c76c6cbc57c679759132dc516e07e

6,241

py

Python

kotori/config.py

joshuaavalon/kotori

3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b

[ "Apache-2.0" ]

null

kotori/config.py

joshuaavalon/kotori

3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b

[ "Apache-2.0" ]

null

kotori/config.py

joshuaavalon/kotori

3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b

[ "Apache-2.0" ]

null

import json import re from abc import ABC, abstractmethod from dataclasses import dataclass, field from os.path import splitext from pathlib import Path from typing import Any, Dict, List, Optional, Tuple, Type, Union from PIL import Image from ruamel.yaml import YAML from kotori.error import ConfigError __all__ = [...

30.296117

78

0.621054

723

6,241

5.282158

0.193638

0.020162

0.021995

0.03116

0.227023

0.183032

0.134067

0.101859

0.019377

0

0.001516

0.260054

6,241

205

79

30.443902

0.825466

0.005127

0

0.263473

0

0.058321

0.003544

0

1

0.107784

false

0

0.05988

0.017964

0.467066

0

null

0

null

0

1

0

27542459664ee95574391c6b162f6e4cf09c76b9

4,587

py

Python

parser_utils.py

fgypas/panoptes

d85bf83905fd0e546cce11e00d4daf4da2199fbf

[ "MIT" ]

1

2019-11-03T22:08:19.000Z

parser_utils.py

fgypas/panoptes

d85bf83905fd0e546cce11e00d4daf4da2199fbf

[ "MIT" ]

27

2019-10-23T19:24:38.000Z

2022-02-10T19:40:24.000Z

parser_utils.py

fgypas/panoptes

d85bf83905fd0e546cce11e00d4daf4da2199fbf

[ "MIT" ]

null

import os import re from pprint import pprint from pandas.io.json import json_normalize import datetime import argparse import sys DATE = 'date' LEVEL = 'level' TYPE = 'type' CLASS = 'class' MESSAGE = 'message' def match_date(line): match_this = '' matched = re.match(r'\[\w\w\w\s\w\w\w \d\d \d\d:\d\d:\d\d\s\d...

30.177632

106

0.480706

490

4,587

4.334694

0.257143

0.051789

0.011299

0.060264

0.148305

0.108286

0.088512

0.037665

0

0.007278

0.400916

4,587

151

107

30.377483

0.765648

0.094615

0

0.203884

0

0.009709

0.129657

0.006373

0

1

0.038835

false

0.009709

0.106796

0

0.165049

0.038835

0

null

0

null

0

1

0

2758815a9272e4ba22d391476a74de67b2fc6c02

7,746

py

Python

python/beached_probability.py

OceanParcels/BayesianAnalysis_SouthAtlantic

a808896ea9104931a6ad625531231525c6c12826

[ "MIT" ]

1

2022-01-12T08:24:14.000Z

python/beached_probability.py

OceanParcels/BayesianAnalysis_SouthAtlantic

a808896ea9104931a6ad625531231525c6c12826

[ "MIT" ]

null

python/beached_probability.py

OceanParcels/BayesianAnalysis_SouthAtlantic

a808896ea9104931a6ad625531231525c6c12826

[ "MIT" ]

null

""" Computes the probability field of beached particles from Ocean Parcels simulations. Computes the posterior probability in the latitude of the beached particles. """ import numpy as np import xarray as xr import pandas as pd import os def time_averaging_coast(array, window=30): """It averages the counts_americ...

35.53211

79

0.572941

901

7,746

4.748058

0.251942

0.025713

0.017999

0.010285

0.159654

0.13698

0.102852

0.034596

0.025245

0

0.013271

0.202298

7,746

217

80

35.695853

0.679074

0.207333

0

0.139344

0

0.118491

0.034977

0

1

0.008197

false

0

0.032787

0

0.04918

0.07377

0

null

0

null

0

1

0

2759eded27b5f65ad495b43a6846ccc30736fba9

2,985

py

Python

models/cam_decoder.py

BwCai/DCAA-UDA

359c2122060aebfbe4384c918768c261fe2dc9c7

[ "Apache-2.0" ]

2

2022-01-28T10:35:53.000Z

2022-03-09T14:38:59.000Z

models/cam_decoder.py

BwCai/DCAA-UDA

359c2122060aebfbe4384c918768c261fe2dc9c7

[ "Apache-2.0" ]

1

2022-03-07T10:48:11.000Z

models/cam_decoder.py

BwCai/DCAA-UDA

359c2122060aebfbe4384c918768c261fe2dc9c7

[ "Apache-2.0" ]

null

import math import torch import torch.nn as nn import torch.nn.functional as F from models.sync_batchnorm.batchnorm import SynchronizedBatchNorm2d from models.aspp import build_aspp from models.decoder import build_decoder import pdb class AttentionDecoder(nn.Module): def __init__(self, num_classes, modal_num, bac...

37.78481

98

0.59665

401

2,985

4.25187

0.246883

0.051613

0.02346

0.031672

0.398827

0.323754

0.219941

0.185924

0

0.045092

0.286767

2,985

78

99

38.269231

0.755754

0.022111

0

0.151515

0

0.010981

0

1

0.060606

false

0

0.121212

0.015152

0.227273

0

null

0

null

0

1

0

275bb771b2d649e2d94b8d769d96499bc3dc8e16

2,505

py

Python

src/server/noize_reduction.py

kikuchiken-waseda/MRIVuewer

66cfe30d006b6491a093a9dfab5b538c5e49409e

[ "MIT" ]

null

src/server/noize_reduction.py

kikuchiken-waseda/MRIVuewer

66cfe30d006b6491a093a9dfab5b538c5e49409e

[ "MIT" ]

23

2020-02-11T19:13:24.000Z

2020-05-16T07:49:43.000Z

src/server/noize_reduction.py

kikuchiken-waseda/MRIVuewer

66cfe30d006b6491a093a9dfab5b538c5e49409e

[ "MIT" ]

null

import scipy as sp from pyssp.util import ( get_frame, add_signal, compute_avgpowerspectrum ) def writeWav(param, signal, filename): import wave with wave.open(filename, 'wb') as wf: wf.setparams(param) s = sp.int16(signal * 32767.0).tostring() wf.writeframes(s) def jointMap(sign...

30.54878

77

0.621158

308

2,505

4.996753

0.337662

0.035088

0.020793

0.02989

0.033788

0

0.030514

0.254291

2,505

81

78

30.925926

0.793362

0.005589

0

0.111111

0

0.025713

0

1

0.055556

false

0

0.125

0

0.208333

0

null

0

null

0

1

0

275bf3b0ea75846995ad189f786825044efb445e

4,940

py

Python

chord_rec/harmalysis/classes/scale.py

TianxueHu/ChordSymbolRec

d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac

[ "Unlicense", "MIT" ]

null

chord_rec/harmalysis/classes/scale.py

TianxueHu/ChordSymbolRec

d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac

[ "Unlicense", "MIT" ]

null

chord_rec/harmalysis/classes/scale.py

TianxueHu/ChordSymbolRec

d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac

[ "Unlicense", "MIT" ]

null

''' harmalysis - a language for harmonic analysis and roman numerals Copyright (C) 2020 Nestor Napoles Lopez This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of t...

35.285714

84

0.411943

678

4,940

2.927729

0.187316

0.054408

0.071033

0.066499

0.488161

0.438287

0.271537

0.198992

0.182368

0.115365

0

0.076059

0.369231

4,940

140

85

35.285714

0.560976

0.193927

0

0.452632

0

0.050077

0

1

0.063158

false

0

0.021053

0

0.147368

0

null

0

null

0

1

0

275c77321e139727fd234a2be346f888681c1954

8,350

py

Python

idaes/apps/caprese/examples/cstr_rodrigo/nmpc_main.py

Robbybp/idaes-pse

8a41dbd05819f82806cf17a6e5f06aef79a775e3

[ "RSA-MD" ]

null

idaes/apps/caprese/examples/cstr_rodrigo/nmpc_main.py

Robbybp/idaes-pse

8a41dbd05819f82806cf17a6e5f06aef79a775e3

[ "RSA-MD" ]

2

2021-08-18T19:42:02.000Z

2021-10-22T04:44:31.000Z

idaes/apps/caprese/examples/cstr_rodrigo/nmpc_main.py

Robbybp/idaes-pse

8a41dbd05819f82806cf17a6e5f06aef79a775e3

[ "RSA-MD" ]

1

2021-03-17T20:31:17.000Z

############################################################################## # Institute for the Design of Advanced Energy Systems Process Systems # Engineering Framework (IDAES PSE Framework) Copyright (c) 2018-2019, by the # software owners: The Regents of the University of California, through # Lawrence Berkeley N...

38.127854

82

0.623713

964

8,350

5.173237

0.274896

0.061761

0.015641

0.024063

0.232404

0.175657

0.166433

0.131141

0.10387

0.091839

0

0.011456

0.236886

8,350

218

83

38.302752

0.771186

0.216287

0

0.111111

0

0.021739

0

1

0.006944

false

0

0.069444

0

0.083333

0.006944

0

null

0

null

0

1

0

275e8507ce35dccac0615b8d962c545d75b3823a

2,555

py

Python

connect_four/transposition/sqlite_transposition_table_test.py

rpachauri/connect4

6caf6965afaaff6883193ac295c6ac5b1f4e9c4a

[ "MIT" ]

null

connect_four/transposition/sqlite_transposition_table_test.py

rpachauri/connect4

6caf6965afaaff6883193ac295c6ac5b1f4e9c4a

[ "MIT" ]

null

connect_four/transposition/sqlite_transposition_table_test.py

rpachauri/connect4

6caf6965afaaff6883193ac295c6ac5b1f4e9c4a

[ "MIT" ]

null

import unittest import gym import numpy as np from connect_four.hashing import TicTacToeHasher from connect_four.transposition.sqlite_transposition_table import SQLiteTranspositionTable class TestSQLiteTranspositionTable(unittest.TestCase): def setUp(self) -> None: self.env = gym.make('tic_tac_toe-v0') ...

30.416667

90

0.523288

269

2,555

4.791822

0.208178

0.079131

0.111715

0.139643

0.664081

0.617533

0.552366

0

0.039879

0.35225

2,555

83

91

30.783133

0.738973

0

0.625

0

0.025832

0

0.083333

1

0.055556

false

0

0.069444

0

0.138889

0

null

0

null

0

1

0

275ea88f14a647fe3701cbe45b6f30ea2d89fba6

1,226

py

Python

test/unittests/study/mri/test_mc.py

szho42/banana

131804803e6293716e9d11cbb6f3ca244b2931f9

[ "Apache-2.0" ]

null

test/unittests/study/mri/test_mc.py

szho42/banana

131804803e6293716e9d11cbb6f3ca244b2931f9

[ "Apache-2.0" ]

null

test/unittests/study/mri/test_mc.py

szho42/banana

131804803e6293716e9d11cbb6f3ca244b2931f9

[ "Apache-2.0" ]

null

from nipype import config config.enable_debug_mode() from banana.testing import BaseTestCase as TestCase # @IgnorePep8 @Reimport # from banana.study.multimodal.test_motion_detection import ( # @IgnorePep8 @Reimport # MotionDetection, inputs) from banana.study.multimodal.mrpet import create_motion_correction_class...

32.263158

97

0.681892

136

1,226

5.933824

0.382353

0.037175

0.061958

0.096654

0

0.013333

0.204731

1,226

37

98

33.135135

0.814359

0.355628

0

0.087516

0

0.05

1

0.05

false

0

0.15

0

0.25

0

null

0

null

0

1

0

27616031c83ae4189c96219a4ca18b7e0e254aed

1,052

py

Python

tests/test_country_service.py

gothill/python-fedex

62dc8f554babd7066d6c6e7c478944f30fc2b75b

[ "BSD-3-Clause" ]

100

2016-01-22T23:46:10.000Z

2022-03-26T05:00:53.000Z

tests/test_country_service.py

gothill/python-fedex

62dc8f554babd7066d6c6e7c478944f30fc2b75b

[ "BSD-3-Clause" ]

77

2016-01-19T06:10:22.000Z

2022-03-26T06:04:14.000Z

tests/test_country_service.py

gothill/python-fedex

62dc8f554babd7066d6c6e7c478944f30fc2b75b

[ "BSD-3-Clause" ]

102

2016-02-08T23:28:45.000Z

2022-02-28T11:37:27.000Z

""" Test module for the Fedex CountryService WSDL. """ import unittest import logging import sys sys.path.insert(0, '..') from fedex.services.country_service import FedexValidatePostalRequest # Common global config object for testing. from tests.common import get_fedex_config CONFIG_OBJ = get_fedex_config() loggin...

25.658537

75

0.742395

121

1,052

6.289256

0.586777

0.03548

0.036794

0

0.00678

0.158745

1,052

40

76

26.3

0.853107

0.147338

0

0.065217

0

0.095238

1

0.047619

false

0

0.238095

0

0.333333

0

null

0

null

0

1

0

27621f7f93d71cdc400cae5017e3588d01c3c114

3,730

py

Python

setup_tools/getkucore.py

dougmassay/kindleunpack-calibre-plugin

906fc3820a9b1c179fc754ae5774ebe689a61419

[ "Unlicense", "MIT" ]

101

2015-03-24T10:29:15.000Z

2022-03-25T07:15:45.000Z

setup_tools/getkucore.py

dougmassay/kindleunpack-calibre-plugin

906fc3820a9b1c179fc754ae5774ebe689a61419

[ "Unlicense", "MIT" ]

3

2016-09-14T10:47:02.000Z

2018-01-09T13:32:29.000Z

setup_tools/getkucore.py

dougmassay/kindleunpack-calibre-plugin

906fc3820a9b1c179fc754ae5774ebe689a61419

[ "Unlicense", "MIT" ]

13

2015-09-28T07:05:18.000Z

2022-02-13T15:16:13.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab from __future__ import unicode_literals, division, absolute_import, print_function import os import sys import shutil import inspect import glob import zipfile import pythonpatch if sys.version_info >= (3,): import url...

36.930693

95

0.627346

464

3,730

4.903017

0.353448

0.036923

0.017582

0.018462

0.186374

0.147692

0.126593

0.102857

0.053626

0

0.01951

0.244236

3,730

100

96

37.3

0.787513

0.091689

0

0.158537

0

0.124593

0.011838

0

1

0.02439

false

0

0.121951

0

0.146341

0.060976

0

null

0

null

0

1

0

2764c5afd2309a3e37c20e039e1d0182465889f2

5,696

py

Python

pymoku/_oscilloscope_data.py

liquidinstruments/pymoku

a10c2516e5953722a5f5b52aec7944bec22492c2

[ "MIT" ]

11

2016-10-11T04:37:14.000Z

2021-09-10T02:34:03.000Z

pymoku/_oscilloscope_data.py

liquidinstruments/pymoku

a10c2516e5953722a5f5b52aec7944bec22492c2

[ "MIT" ]

8

2017-06-02T18:19:49.000Z

2020-09-07T06:15:53.000Z

pymoku/_oscilloscope_data.py

liquidinstruments/pymoku

a10c2516e5953722a5f5b52aec7944bec22492c2

[ "MIT" ]

11

2018-07-12T04:18:40.000Z

2022-03-04T10:10:48.000Z

import struct from pymoku import _frame_instrument _OSC_SCREEN_WIDTH = 1024 class VoltsData(_frame_instrument.InstrumentData): """ Object representing a frame of dual-channel data in units of Volts, and time in units of seconds. This is the native output format of the :any:`Oscilloscope` instrument....

35.6

78

0.596208

735

5,696

4.434014

0.251701

0.012274

0.014728

0.022093

0.399202

0.345812

0.257441

0.216324

0

0.018219

0.30618

5,696

159

79

35.823899

0.806427

0.330758

0

0.204819

0

0.048613

0

0.005493

0

1

0.13253

false

0

0.024096

0.325301

0

null

0

null

0

1

0

2764e8cf2af125cde1e1dea98f00be38d0e21369

6,205

py

Python

FlightRisingColiseum/Bot_FR.py

Eternal05/Flightrising-Coliseum-Bot

8f4895ff8a2d5533fe6a6546e09361738fd54910

[ "MIT" ]

1

2021-05-17T02:52:40.000Z

FlightRisingColiseum/Bot_FR.py

Eternal05/Flightrising-Coliseum-Bot

8f4895ff8a2d5533fe6a6546e09361738fd54910

[ "MIT" ]

null

FlightRisingColiseum/Bot_FR.py

Eternal05/Flightrising-Coliseum-Bot

8f4895ff8a2d5533fe6a6546e09361738fd54910

[ "MIT" ]

null

import os from PIL import ImageGrab import time import win32api, win32con from PIL import ImageOps from numpy import * import pyautogui import random from ctypes import windll user32 = windll.user32 user32.SetProcessDPIAware() #some sort of DPS problem unrelated to project #this stops the images from be...

34.859551

134

0.604674

833

6,205

4.480192

0.393758

0.033762

0.057878

0.040729

0.137996

0.067792

0.050911

0

0.072878

0.301209

6,205

177

135

35.056497

0.787823

0.384367

0

0.275862

0

0.009725

0

1

0.043103

false

0

0.077586

0

0.275862

0.051724

0

null

0

null

0

1

0