xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

daad3d4644a92884bdcd19bcc887b15d6229fc69

849

py

Python

mundo3-EstruturasCompostas/102-funcaoFatorial.py

jonasht/CursoEmVideo-CursoDePython3

a1bbf1fe4226b1828213742ee5a440278d903fd1

[ "MIT" ]

null

mundo3-EstruturasCompostas/102-funcaoFatorial.py

jonasht/CursoEmVideo-CursoDePython3

a1bbf1fe4226b1828213742ee5a440278d903fd1

[ "MIT" ]

null

mundo3-EstruturasCompostas/102-funcaoFatorial.py

jonasht/CursoEmVideo-CursoDePython3

a1bbf1fe4226b1828213742ee5a440278d903fd1

[ "MIT" ]

null

#Exercício Python 102: # Crie um programa que tenha uma função fatorial() # que receba dois parâmetros: # o primeiro que indique o número a calcular e # outro chamado show, que será um valor lógico (opcional) # indicando se será mostrado ou não na tela o processo de # cálculo do fatorial. def fatorial(n, show=False)...

28.3

61

0.632509

126

849

4.261905

0.531746

0.022346

0.03352

0.052142

0

0.014469

0.267373

849

29

62

29.275862

0.848875

0.526502

0

0.153846

0

0.081522

0

1

0.076923

false

0

0.153846

0

null

0

null

0

1

0

daaeeb623720fda94eff96a09b813f98fd47e55e

4,048

py

Python

facebook_data_analysis/conversation_analysis/friends_network.py

Anogio/facebook_data_analysis

a43a64bf4892e8bb705a96805912f726f194f319

[ "MIT" ]

null

facebook_data_analysis/conversation_analysis/friends_network.py

Anogio/facebook_data_analysis

a43a64bf4892e8bb705a96805912f726f194f319

[ "MIT" ]

null

facebook_data_analysis/conversation_analysis/friends_network.py

Anogio/facebook_data_analysis

a43a64bf4892e8bb705a96805912f726f194f319

[ "MIT" ]

null

import matplotlib.pyplot as plt import networkx as nx import pandas as pd from facebook_data_analysis.conversation_analysis.activity_graphs import save_graph from facebook_data_analysis.global_vars import messages_cols from facebook_data_analysis.tools.helpers import cached from sklearn.manifold import MDS from tqdm im...

38.552381

87

0.704298

447

4,048

6.058166

0.270694

0.057607

0.081241

0.082718

0.259232

0.172083

0.155096

0.121123

0

0.00947

0.217391

4,048

104

88

38.923077

0.845328

0.019269

0

0.170455

0

0.048916

0.005547

0

0.009615

0

1

0.045455

false

0

0.090909

0

0.181818

0.034091

0

null

0

null

0

1

0

dab23516379326ead1d968570c74ed69eecbf055

2,863

py

Python

frictionless/settings.py

Grandient/frictionless-py

8c41b96f2047d573702fe7b34ff7ffbd32c3d815

[ "MIT" ]

247

2020-08-04T16:42:09.000Z

2022-03-30T11:54:54.000Z

frictionless/settings.py

Grandient/frictionless-py

8c41b96f2047d573702fe7b34ff7ffbd32c3d815

[ "MIT" ]

444

2020-07-29T09:13:59.000Z

2022-03-31T14:54:57.000Z

frictionless/settings.py

Grandient/frictionless-py

8c41b96f2047d573702fe7b34ff7ffbd32c3d815

[ "MIT" ]

60

2020-09-04T11:39:34.000Z

2022-03-23T18:59:51.000Z

import os import json import gzip import zipfile # Helpers def read_asset(*paths): dirname = os.path.dirname(__file__) with open(os.path.join(dirname, "assets", *paths)) as file: return file.read().strip() # General UNDEFINED = object() VERSION = read_asset("VERSION") COMPRESSION_FORMATS = ["zip...

29.515464

89

0.71219

358

2,863

5.438547

0.354749

0.064715

0.098613

0.123267

0.259887

0.248588

0.163842

0.122753

0

0.013142

0.122948

2,863

96

90

29.822917

0.762246

0.036675

0

0.21766

0.007631

0

1

0.013333

false

0

0.053333

0

0.08

0

null

0

null

0

1

0

dab536d1d9d21df99c2db8bf403753c5070c87f7

4,747

py

Python

A_gen_literal_po.py

Dharma-Sagar/tx-template

93a3005445a21a249107e01c446c9237e886de8e

[ "Apache-2.0" ]

null

A_gen_literal_po.py

Dharma-Sagar/tx-template

93a3005445a21a249107e01c446c9237e886de8e

[ "Apache-2.0" ]

null

A_gen_literal_po.py

Dharma-Sagar/tx-template

93a3005445a21a249107e01c446c9237e886de8e

[ "Apache-2.0" ]

1

2022-03-25T15:25:00.000Z

from pathlib import Path import re import sys from uuid import uuid4 import polib from antx import transfer from botok import Text class Po: def __init__(self): self.transfer = Transfer() self.file = polib.POFile() self.file.metadata = { 'MIME-Version': '1.0', 'Cont...

31.026144

97

0.540552

593

4,747

4.202361

0.251265

0.036517

0.02809

0.020465

0.158507

0.133226

0.074639

0.053772

0

0.006834

0.321888

4,747

152

98

31.230263

0.762349

0.090162

0

0.188034

0

0.055896

0.011557

0

1

0.111111

false

0

0.059829

0.008547

0.273504

0.017094

0

null

0

null

0

1

0

dab78841b63bd54072dd390557aad814bcd2c522

2,845

py

Python

cvm/tests/test_trec.py

CortexFoundation/tvm-cvm

d8941dc60a51dd27a6d2accc1eff2eced3b3640d

[ "Apache-2.0" ]

6

2019-07-04T09:42:53.000Z

2021-12-28T13:19:48.000Z

cvm/tests/test_trec.py

CortexFoundation/tvm-cvm

d8941dc60a51dd27a6d2accc1eff2eced3b3640d

[ "Apache-2.0" ]

4

2019-06-27T08:05:18.000Z

2021-09-09T18:59:11.000Z

cvm/tests/test_trec.py

CortexFoundation/tvm-cvm

d8941dc60a51dd27a6d2accc1eff2eced3b3640d

[ "Apache-2.0" ]

null

import gluon_zoo as gz import mxnet as mx from mxnet import ndarray as nd from mxnet import gluon import tvm from tvm.contrib import graph_runtime import nnvm import pickle import sym_pass as spass import dataset as ds import sym_calib as calib import sim_quant_helper as sim import ops_generator as opg import utils im...

30.265957

83

0.693497

442

2,845

4.219457

0.273756

0.06756

0.034853

0.038606

0.216622

0.172654

0.1437

0.120643

0.082038

0

0.018844

0.179262

2,845

93

84

30.591398

0.779872

0

0.125

0

0.130098

0.097046

0

1

0.05

false

0.0375

0.1875

0.0125

0.2875

0

null

0

null

0

1

0

dab7892075e86447b7eb58c074c9b44136134f5d

9,856

py

Python

public/scripts/node_process_scripts/vamps_script_parse.py

avoorhis/vamps-node.js

7071da6e569a669a06a6d21c23cc9c667ec49250

[ "MIT" ]

1

2015-10-28T14:48:38.000Z

public/scripts/node_process_scripts/vamps_script_parse.py

avoorhis/vamps-node.js

7071da6e569a669a06a6d21c23cc9c667ec49250

[ "MIT" ]

48

2015-10-23T16:02:14.000Z

2022-02-15T00:46:39.000Z

public/scripts/node_process_scripts/vamps_script_parse.py

avoorhis/vamps-node.js

7071da6e569a669a06a6d21c23cc9c667ec49250

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright (C) 2011, Marine Biological Laboratory # # This program is free software; you can redistribute it and/or modify it under # the terms of the GNU General Public License as published by the Free # Software Foundation; either version 2 of the License, or (at your o...

32.104235

138

0.542106

1,193

9,856

4.331098

0.251467

0.013548

0.027095

0.023224

0.203406

0.168183

0.13083

0.093284

0.053029

0.035611

0

0.017682

0.317167

9,856

306

139

32.20915

0.750074

0.356027

0

0.173913

0

0.161483

0

1

0.031056

false

0.006211

0.093168

0

0.130435

0.086957

0

null

0

null

0

1

0

dab9da99251eb13cbf19a332bec3cc7115eec8f3

859

py

Python

yahoo_nsfw.py

m0r13/tensorflow-open_nsfw

35da5a6eb71ad5490b25ad433cfee02986f123eb

[ "BSD-2-Clause" ]

null

yahoo_nsfw.py

m0r13/tensorflow-open_nsfw

35da5a6eb71ad5490b25ad433cfee02986f123eb

[ "BSD-2-Clause" ]

null

yahoo_nsfw.py

m0r13/tensorflow-open_nsfw

35da5a6eb71ad5490b25ad433cfee02986f123eb

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python import sys import tensorflow as tf from image_utils import create_raw_image_loader from model import OpenNsfwModel, InputType class YahooNSFWClassifier: def __init__(self, weights_path): self.session = tf.Session() self.model = OpenNsfwModel() self.model.build(weights...

33.038462

99

0.718277

111

859

5.288288

0.486486

0.061329

0.0477

0.068143

0

0.004237

0.175786

859

25

100

34.36

0.824859

0.023283

0

0.057279

0.031026

0

1

0.105263

false

0

0.263158

0

0.473684

0.052632

0

null

0

null

0

1

0

dabd1be8c1b91392a0032b7379bdd13519e05e0b

4,823

py

Python

crazyflie-lib-python/cflib/crazyflie/localization.py

loujiabin1994/crazyswarm

893325b63b3b19015fe261bfa989846a1c82dc82

[ "MIT" ]

null

crazyflie-lib-python/cflib/crazyflie/localization.py

loujiabin1994/crazyswarm

893325b63b3b19015fe261bfa989846a1c82dc82

[ "MIT" ]

null

crazyflie-lib-python/cflib/crazyflie/localization.py

loujiabin1994/crazyswarm

893325b63b3b19015fe261bfa989846a1c82dc82

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # || ____ _ __ # +------+ / __ )(_) /_______________ _____ ___ # | 0xBC | / __ / / __/ ___/ ___/ __ `/_ / / _ \ # +------+ / /_/ / / /_/ /__/ / / /_/ / / /_/ __/ # || || /_____/_/\__/\___/_/ \__,_/ /___/\___/ # # Copyright (C) 20...

33.262069

79

0.609579

575

4,823

4.843478

0.393043

0.012567

0.024417

0.020467

0.202154

0.159785

0.131059

0.113106

0

0.015707

0.287166

4,823

144

80

33.493056

0.794357

0.37259

0

0.191176

0

0.069538

0

0.006944

0

1

0.073529

false

0

0.088235

0

0.367647

0

null

0

null

0

1

0

dabfe56a60fe696acd94d21ad2b11875bcc6001b

1,396

py

Python

uibcdf_stdlib/exceptions.py

uibcdf/UIBCDF-Standard-Library

16665d12d94c8d82b17356f79795d3741cc86324

[ "MIT" ]

1

2021-07-06T18:51:45.000Z

uibcdf_stdlib/exceptions.py

dprada/UIBCDF-Standard-Library

96906e631623ff8de59bd5e15fe25d87a9d2a4f4

[ "MIT" ]

null

uibcdf_stdlib/exceptions.py

dprada/UIBCDF-Standard-Library

96906e631623ff8de59bd5e15fe25d87a9d2a4f4

[ "MIT" ]

1

2021-07-06T18:51:48.000Z

class BadCallError(ValueError): def __init__(self, message=None, documentation_web=None): if message is None: message = ('Wrong way of invoking this method. Check the online documentation for' 'more information.') if documentation_web is not None: ...

31.022222

96

0.637536

151

1,396

5.622517

0.344371

0.113074

0.051826

0.042403

0.454653

0.34629

0.294464

0.188457

0

0.001936

0.260029

1,396

44

97

31.727273

0.819942

0

0.384615

0

0.224373

0

1

0.153846

false

0

0.307692

0

null

0

null

0

1

0

dac5823dc3e2b862d786e19df82399b8a50a961d

2,757

py

Python

feature-detection.py

ronheywood/opencv

664de6f5b3708af6c00348a31a37db484137bb8d

[ "MIT" ]

7

2021-07-08T14:57:22.000Z

2022-01-12T09:15:01.000Z

feature-detection.py

ronheywood/opencv

664de6f5b3708af6c00348a31a37db484137bb8d

[ "MIT" ]

1

2021-08-18T20:15:44.000Z

2022-02-04T18:04:39.000Z

feature-detection.py

ronheywood/opencv

664de6f5b3708af6c00348a31a37db484137bb8d

[ "MIT" ]

2

2021-10-14T18:40:26.000Z

2022-01-10T00:36:29.000Z

# import the necessary packages import cv2 import sys import os import numpy as np import argparse sys.path.append(os.path.abspath('./modules/')) import detection import helpers ap = argparse.ArgumentParser() ap.add_argument("-d", "--debug", type=bool, default=False, help="experiment with different image filters")...

32.05814

122

0.629307

376

2,757

4.526596

0.364362

0.042303

0.032315

0.007051

0.070505

0.059929

0

0.046919

0.234675

2,757

86

123

32.05814

0.759716

0.060936

0

0.117647

0

0.075077

0

1

0

false

0

0.102941

0

0.102941

0.014706

0

null

0

null

0

1

0

dac5b2ff80767ae00c126aba31c2851cfe3769ef

7,538

py

Python

loopy/execution.py

xywei/loopy

f176bc70ef52862ee0dfcc661fbe4b86b1726f55

[ "MIT" ]

null

loopy/execution.py

xywei/loopy

f176bc70ef52862ee0dfcc661fbe4b86b1726f55

[ "MIT" ]

null

loopy/execution.py

xywei/loopy

f176bc70ef52862ee0dfcc661fbe4b86b1726f55

[ "MIT" ]

null

from __future__ import division, with_statement, absolute_import __copyright__ = "Copyright (C) 2012-16 Andreas Kloeckner" __license__ = """ Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software withou...

32.076596

79

0.648183

926

7,538

5.046436

0.278618

0.035309

0.0214

0.019474

0.152579

0.109566

0.064199

0.040659

0.021828

0

0.001309

0.290395

7,538

234

80

32.213675

0.872313

0.107588

0

0.214286

0

0.181173

0.005289

0

0.007143

1

0.05

false

0.014286

0.114286

0

0.25

0

null

0

null

0

1

0

dac7f27abecc653f42dd61c7ee788bece9231835

3,419

py

Python

rebound/python_examples/megno_interactive/problem.py

rodluger/ttv-devil

e534e4f3cd75db951cba54441f7a5458c87e0cf9

[ "MIT" ]

null

rebound/python_examples/megno_interactive/problem.py

rodluger/ttv-devil

e534e4f3cd75db951cba54441f7a5458c87e0cf9

[ "MIT" ]

null

rebound/python_examples/megno_interactive/problem.py

rodluger/ttv-devil

e534e4f3cd75db951cba54441f7a5458c87e0cf9

[ "MIT" ]

null

#!/usr/bin/python import rebound from rebound.interruptible_pool import InterruptiblePool # Import other modules import numpy as np import matplotlib.pyplot as plt plt.ion() from matplotlib.colors import LogNorm # Runs one simulation. def simulation(par): saturn_a, saturn_e = par sim = rebound.Simulation() ...

31.953271

162

0.64434

543

3,419

3.959484

0.366483

0.013023

0.009767

0.02093

0.107907

0.060465

0

0.043573

0.194501

3,419

106

163

32.254717

0.73711

0.186312

0

0.071429

0

0.068429

0.015206

0

1

0.042857

false

0

0.071429

0

0.128571

0.014286

0

null

0

null

0

1

0

dacc0afe8e6fcaa1fdee48ff089bcf82ca383f60

1,926

py

Python

code/eval_tsd.py

YJiangcm/COMP_5222_Project

18afd92af6f38c9410d711fa9448b7a03507e0ac

[ "Apache-2.0" ]

null

code/eval_tsd.py

YJiangcm/COMP_5222_Project

18afd92af6f38c9410d711fa9448b7a03507e0ac

[ "Apache-2.0" ]

null

code/eval_tsd.py

YJiangcm/COMP_5222_Project

18afd92af6f38c9410d711fa9448b7a03507e0ac

[ "Apache-2.0" ]

null

import pandas as pd import numpy as np import sys import argparse def f1(predictions, gold): """ F1 (a.k.a. DICE) operating on two lists of offsets (e.g., character). >>> assert f1([0, 1, 4, 5], [0, 1, 6]) == 0.5714285714285714 :param predictions: a list of predicted offsets :param gold:...

28.746269

94

0.600727

260

1,926

4.307692

0.373077

0.035714

0.032143

0.030357

0.051786

0

0.028384

0.286604

1,926

67

95

28.746269

0.786754

0.179647

0

0.054054

0

0.14959

0

1

0.081081

false

0

0.108108

0

0.27027

0.054054

0

null

0

null

0

1

0

dad0c47ce0d0ea8d56dcd1c6ed410b390c57cb8f

1,444

py

Python

notebooks/PyTorch/tutorial_deep_learning_with_pytorch_a_60_minute_blitz_training_a_classifier_CIFAR-10/training.py

shitake/ml-sandbox

a23a312251d82b27582df0029c23ff4aa7792d4c

[ "MIT" ]

null

notebooks/PyTorch/tutorial_deep_learning_with_pytorch_a_60_minute_blitz_training_a_classifier_CIFAR-10/training.py

shitake/ml-sandbox

a23a312251d82b27582df0029c23ff4aa7792d4c

[ "MIT" ]

1

2018-11-01T03:09:50.000Z

notebooks/PyTorch/tutorial_deep_learning_with_pytorch_a_60_minute_blitz_training_a_classifier_CIFAR-10/training.py

shitake/ml-sandbox

a23a312251d82b27582df0029c23ff4aa7792d4c

[ "MIT" ]

null

from net import Net import os import sys import time import torch.optim as optim print(os.getcwd()) sys.path.append(os.getcwd()) # from ml-sandbox.src.utils.utils import display_formatted_time import gc del Training; gc.collect() class Training: def __init__(self, dev): self.device = dev def train...

27.245283

96

0.585873

171

1,444

4.812866

0.432749

0.060753

0.043742

0.031592

0

0.011707

0.290166

1,444

52

97

27.769231

0.79122

0.042244

0

0.054054

0

0.04924

0

1

0.054054

false

0

0.162162

0

0.243243

0.081081

0

null

0

null

0

1

0

dad29b783a0cff6154b9ddd5bbb2a707070f8ace

1,321

py

Python

metricol/outputs/statsite.py

soutys/metricol

56b96e80aab8a61727b48eb2f5f19e0694895b55

[ "MIT" ]

null

metricol/outputs/statsite.py

soutys/metricol

56b96e80aab8a61727b48eb2f5f19e0694895b55

[ "MIT" ]

null

metricol/outputs/statsite.py

soutys/metricol

56b96e80aab8a61727b48eb2f5f19e0694895b55

[ "MIT" ]

null

# -*- coding: utf-8 -*- '''Graphite output plugins module ''' from __future__ import ( absolute_import, division, print_function, unicode_literals, with_statement, ) import logging from queue import Empty from statsd.client import StatsClient from metricol.inputs import MetricInput from metrico...

24.462963

79

0.613929

142

1,321

5.415493

0.5

0.06502

0.081925

0.097529

0.083225

0

0.005297

0.28539

1,321

53

80

24.924528

0.809322

0.06056

0

0.013019

0

1

0.088235

false

0

0.205882

0

0.352941

0.029412

0

null

0

null

0

1

0

dad80e149a334d4d98779bd5f03ddaee09b35f0c

5,300

py

Python

quotes_generate_attribute.py

russDA/Quotes_Predictor

6c22f141a468b304c1a5d76e43165d6f42d4e3cf

[ "MIT" ]

null

quotes_generate_attribute.py

russDA/Quotes_Predictor

6c22f141a468b304c1a5d76e43165d6f42d4e3cf

[ "MIT" ]

null

quotes_generate_attribute.py

russDA/Quotes_Predictor

6c22f141a468b304c1a5d76e43165d6f42d4e3cf

[ "MIT" ]

null

from bs4 import BeautifulSoup import requests import pandas as pd import numpy as np def url_list(base_url, no_of_pages): nos = np.linspace(1, no_of_pages, no_of_pages) pages = [] for n in nos: page = base_url+str(int(n)) pages.append(page) return pages def quote_lis...

29.943503

88

0.508113

582

5,300

4.386598

0.189003

0.045828

0.056013

0.098707

0.179397

0.17313

0

0.009404

0.157358

5,300

176

89

30.113636

0.562024

0.290943

0

0.276134

0

1

0.033708

false

0

0.044944

0

0.11236

0.011236

0

null

0

null

0

1

0

dad8ed0484b8958b3b31e0149f5e4b0720f01f84

791

py

Python

tap_tally/__init__.py

bkgreve/tap-tally

207c64b821024003859713624034c531969f0456

[ "MIT" ]

1

2021-02-12T23:22:38.000Z

tap_tally/__init__.py

bkgreve/tap-tally

207c64b821024003859713624034c531969f0456

[ "MIT" ]

3

2020-09-10T11:13:17.000Z

2020-09-10T11:19:06.000Z

tap_tally/__init__.py

bkgreve/tap-tally

207c64b821024003859713624034c531969f0456

[ "MIT" ]

null

import os import json from flask import Flask app = Flask(__name__) @app.route('/api/entries') def get_tap_entries(): with open('/usr/src/app/data/beers.json') as f: beer_data = json.load(f) entries = [] for entry in beer_data: if entry.get('visible', False): image_name = ent...

22.6

87

0.549937

94

791

4.468085

0.446809

0.064286

0.052381

0.061905

0

0.31732

791

34

88

23.264706

0.777778

0

0.071429

0

0.190898

0.082174

0

1

0.071429

false

0

0.107143

0.035714

0.25

0

null

0

null

0

1

0

dad97463770df090d4e73a80e6339dec1808753d

4,133

py

Python

DatabaseGeneration_database4_question5.py

wangpinggl/covidQA

f8b440ee27058cc1030af7cd57178ddf987462d0

[ "MIT" ]

null

DatabaseGeneration_database4_question5.py

wangpinggl/covidQA

f8b440ee27058cc1030af7cd57178ddf987462d0

[ "MIT" ]

null

DatabaseGeneration_database4_question5.py

wangpinggl/covidQA

f8b440ee27058cc1030af7cd57178ddf987462d0

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Aug 29 05:31:09 2020 @author: Srikar Balusu """ import json import pandas as pd import numpy as np import re import random import sqlite3 import datetime import calendar from dateutil.relativedelta import * with open('lookup1.json') as json_file: data = json.load(js...

36.575221

212

0.640455

547

4,133

4.703839

0.270567

0.046638

0.057132

0.044695

0.293432

0.239798

0.147299

0.061796

0.046638

0

0.017236

0.227922

4,133

113

213

36.575221

0.789094

0.01984

0

0.092784

0

0.010309

0.189911

0

1

0.010309

false

0

0.092784

0

0.113402

0.041237

0

null

0

null

0

1

0

dada78f117f641ec85db243d1ba2fcd8f0d8b75a

1,347

py

Python

src/tutorials/hello_world_tutorial/functions/app.py

drblahdblah/covid-19-analysis

abd6ed23a49bd1277708163cad0741c5b9f9698a

[ "MIT" ]

3

2020-04-20T11:10:23.000Z

2020-04-22T08:06:04.000Z

src/tutorials/hello_world_tutorial/functions/app.py

drblahdblah/covid-19-analysis

abd6ed23a49bd1277708163cad0741c5b9f9698a

[ "MIT" ]

null

src/tutorials/hello_world_tutorial/functions/app.py

drblahdblah/covid-19-analysis

abd6ed23a49bd1277708163cad0741c5b9f9698a

[ "MIT" ]

null

# -*- coding: utf-8 -*- import dash import dash_core_components as dcc import dash_html_components as html import pandas as pd df = pd.read_csv(f'https://gist.githubusercontent.com/chriddyp/c78bf172206ce24f77d6363a2d754b59/' f'raw/c353e8ef842413cae56ae3920b8fd78468aa4cb2/usa-agricultural-exports-2011...

31.325581

99

0.680772

180

1,347

4.933333

0.494444

0.031532

0.042793

0.063063

0.060811

0

0.066852

0.200445

1,347

42

100

32.071429

0.75766

0.173719

0

0.12

0

0.223963

0.071889

0

1

0.04

false

0

0.16

0

0.24

0

null

0

null

0

1

0

dadc943c456eca12a123766407c6fe7d3b911d2b

12,804

py

Python

main_robust.py

npatel5/similarity-learning

9052f3d966a2e14918fcaf9d3a4c93dc9143db71

[ "MIT" ]

null

main_robust.py

npatel5/similarity-learning

9052f3d966a2e14918fcaf9d3a4c93dc9143db71

[ "MIT" ]

null

main_robust.py

npatel5/similarity-learning

9052f3d966a2e14918fcaf9d3a4c93dc9143db71

[ "MIT" ]

null

from __future__ import print_function from IPython.core.debugger import set_trace import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F import torch.backends.cudnn as cudnn import config as cf import numpy as np import torchvision import torchvision.transforms as transforms #imp...

38.107143

133

0.670181

1,664

12,804

5.016827

0.184495

0.018448

0.009703

0.013776

0.508984

0.453402

0.418304

0.389075

0.373742

0.322832

0

0.0245

0.187129

12,804

335

134

38.220896

0.777575

0.083958

0

0.351145

0

0.01145

0.133219

0.007012

0

0.007634

1

0.01145

false

0

0.080153

0

0.09542

0.087786

0

null

0

null

0

1

0

dadcb95e7278009dc692c238d4ccf77a3fb2e55e

1,843

py

Python

tools/list_exp.py

AlexMaximenko/sew

f26b45f1374f3c3ce477abcc07a2d0017859c026

[ "MIT" ]

49

2021-09-15T06:10:07.000Z

2022-03-28T17:37:28.000Z

tools/list_exp.py

AlexMaximenko/sew

f26b45f1374f3c3ce477abcc07a2d0017859c026

[ "MIT" ]

3

2021-09-26T03:45:04.000Z

2022-02-21T09:36:38.000Z

tools/list_exp.py

AlexMaximenko/sew

f26b45f1374f3c3ce477abcc07a2d0017859c026

[ "MIT" ]

9

2021-09-15T07:35:09.000Z

2022-02-21T00:10:20.000Z

# Copyright (c) ASAPP Inc. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import fire import os import sys import time from tqdm.auto import tqdm import re import json from colorama import Fore def get_num_updates(folder): num_updates...

27.102941

65

0.571351

238

1,843

4.260504

0.394958

0.098619

0.050296

0.065089

0.097633

0.069034

0

0.008821

0.323386

1,843

67

66

27.507463

0.80433

0.078133

0

0.145455

0

0.089728

0.024793

0

1

0.054545

false

0

0.145455

0

0.236364

0.109091

0

null

0

null

0

1

0

dade5fb81eac6f03d7cd440bbd9b3041f81946b2

554

py

Python

worker_zeromq/addresses.py

espang/projects

3a4d93592bc3427a6abd8d2170081155862754a8

[ "MIT" ]

null

worker_zeromq/addresses.py

espang/projects

3a4d93592bc3427a6abd8d2170081155862754a8

[ "MIT" ]

null

worker_zeromq/addresses.py

espang/projects

3a4d93592bc3427a6abd8d2170081155862754a8

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Feb 26 09:11:06 2016 @author: eikes """ ADD_VENTI_WORKER = 'tcp://*:4555' ADD_VENTI_LH_WORKER = 'tcp://localhost:4555' ADD_SINK_RECEIVE = 'tcp://*:4556' ADD_SINK_LH_RECEIVE = 'tcp://localhost:4556' ADD_SINK_PUBLISH = 'tcp://*:4557' ADD_SINK_LH_PUBLISH = 'tcp://localhost:4557'...

29.157895

46

0.707581

84

554

4.333333

0.380952

0.197802

0.054945

0.115385

0

0.121756

0.095668

554

18

47

30.777778

0.60479

0.133574

0

0.40678

0

1

0

false

0

null

0

null

0

1

0

dade9648a2fc13cba868380ebc0181b3e2615f68

593

py

Python

ancli/__main__.py

devforfu/ancli

44ea37e756fb12221bfafc1ecae3b8ef46d84cce

[ "MIT" ]

1

2020-10-24T16:08:14.000Z

ancli/__main__.py

devforfu/ancli

44ea37e756fb12221bfafc1ecae3b8ef46d84cce

[ "MIT" ]

null

ancli/__main__.py

devforfu/ancli

44ea37e756fb12221bfafc1ecae3b8ef46d84cce

[ "MIT" ]

null

import importlib import sys from ancli import make_cli try: entry_point = sys.argv[1] except IndexError: print('Error: no entry point name provided!') sys.exit(1) try: module_path, function_name = entry_point.split(':') except ValueError: print('Error: entry point name should have format a.b.c:f...

20.448276

70

0.701518

89

593

4.561798

0.460674

0.098522

0.059113

0

0.012245

0.173693

593

28

71

21.178571

0.816327

0

0.285714

0

0.209106

0

1

0

false

0

0.190476

0

0.190476

0.142857

0

null

0

null

0

1

0

dadeeda64957f5eeac274eff704cc39ef9a9cf4d

31,856

py

Python

venv/Lib/site-packages/pyramid/traversal.py

mandamg/Exercicios-de-Python-do-Curso-em-Video

3f818c11c3c10213bebc1dfb6a740adee468ea3a

[ "MIT" ]

null

venv/Lib/site-packages/pyramid/traversal.py

mandamg/Exercicios-de-Python-do-Curso-em-Video

3f818c11c3c10213bebc1dfb6a740adee468ea3a

[ "MIT" ]

null

venv/Lib/site-packages/pyramid/traversal.py

mandamg/Exercicios-de-Python-do-Curso-em-Video

3f818c11c3c10213bebc1dfb6a740adee468ea3a

[ "MIT" ]

null

from functools import lru_cache from urllib.parse import unquote_to_bytes from zope.interface import implementer from zope.interface.interfaces import IInterface from pyramid.encode import url_quote from pyramid.exceptions import URLDecodeError from pyramid.interfaces import ( VH_ROOT_KEY, IRequestFactory, ...

41.915789

79

0.651588

4,382

31,856

4.640575

0.12346

0.02867

0.015736

0.012147

0.440521

0.387067

0.336661

0.313646

0.297467

0.288812

0

0.0042

0.260014

31,856

759

80

41.971014

0.85844

0.645781

0

0.255814

0

0.038244

0

0.003876

0

1

0.073643

false

0.003876

0.042636

0.011628

0.232558

0

null

0

null

0

1

0

dadf717f7a0bf06444bc04239a755273afb5cf77

3,485

py

Python

Lib/site-packages/visual/examples/faces_heightfield.py

raychorn/svn_Python-2.5.1

425005b1b489ba44ec0bb989e077297e8953d9be

[ "PSF-2.0" ]

null

Lib/site-packages/visual/examples/faces_heightfield.py

raychorn/svn_Python-2.5.1

425005b1b489ba44ec0bb989e077297e8953d9be

[ "PSF-2.0" ]

null

Lib/site-packages/visual/examples/faces_heightfield.py

raychorn/svn_Python-2.5.1

425005b1b489ba44ec0bb989e077297e8953d9be

[ "PSF-2.0" ]

null

## Demonstrates some techniques for working with "faces", and ## shows how to build a height field (a common feature request) ## with it. ## David Scherer July 2001 from visual import * class Model: def __init__(self): self.frame = frame() self.model = faces(frame=self.frame) se...

35.561224

91

0.556385

479

3,485

3.983299

0.325679

0.051887

0.044549

0.023061

0.212788

0.129979

0.110063

0.072327

0.02935

0

0.027554

0.323099

3,485

97

92

35.927835

0.781263

0.245624

0

0.177419

0

1

0.096774

false

0

0.016129

0

0.145161

0

null

0

null

0

1

0

dae1d10cf13014392041b42324790708bc97af7d

766

py

Python

tests/test_appcli_jwt.py

Carrene/restfulpy

21472af0415fffc23f8003b6074afc2de2e0b414

[ "MIT" ]

25

2017-06-19T10:01:36.000Z

2019-08-03T10:35:41.000Z

tests/test_appcli_jwt.py

Carrene/restfulpy

21472af0415fffc23f8003b6074afc2de2e0b414

[ "MIT" ]

209

2017-09-27T11:59:29.000Z

2019-08-10T11:10:48.000Z

tests/test_appcli_jwt.py

Carrene/restfulpy

21472af0415fffc23f8003b6074afc2de2e0b414

[ "MIT" ]

16

2017-11-22T15:44:31.000Z

2019-04-14T12:29:34.000Z

import base64 import json from bddcli import Given, given, when, stdout, stderr, Application, status from restfulpy import Application as RestfulpyApplication foo = RestfulpyApplication(name='jwt') app = Application('foo', 'tests.test_appcli_jwt:foo.cli_main') def test_jwt(): with Given(app, 'jwt create'): ...

25.533333

74

0.627937

91

766

5.131868

0.483516

0.025696

0.042827

0.102784

0.107066

0

0.021922

0.225849

766

29

75

26.413793

0.765599

0.020888

0

0.210526

0

0.113788

0.045515

0

0.315789

1

0.052632

false

0

0.210526

0

0.263158

0

null

0

null

0

1

0

dae369d14e4029c4e7a65aeb8f3575d751e3c7bb

2,277

py

Python

hw4/visualizations.py

zeynepCankara/NTU_DLCV2019

2dc44584ec7b9e1d84e688551eb8cef48d501b45

[ "MIT" ]

1

2022-01-17T14:28:46.000Z

hw4/visualizations.py

zeynepCankara/NTU_DLCV2019

2dc44584ec7b9e1d84e688551eb8cef48d501b45

[ "MIT" ]

null

hw4/visualizations.py

zeynepCankara/NTU_DLCV2019

2dc44584ec7b9e1d84e688551eb8cef48d501b45

[ "MIT" ]

2

2021-11-08T19:05:57.000Z

2022-01-17T14:28:48.000Z

import os import numpy as np import matplotlib.pyplot as plt def plot_embedding(X, y, training_mode, save_name): """ Reference: https://github.com/NaJaeMin92/pytorch_DANN/ Gets the t-sne output and actions label encodings plot T-SNE """ x_min, x_max = np.min(X, 0), np.max(X, 0) X = (X ...

28.4625

101

0.527448

384

2,277

3.039063

0.278646

0.041131

0.030848

0.047986

0.186804

0.169666

0.077121

0.050557

0.022279

0

0.083903

0.293368

2,277

79

102

28.822785

0.641392

0.084761

0

0.034483

0

0.101328

0.016724

0

1

0.034483

false

0

0.051724

0

0.086207

0.017241

0

null

0

null

0

1

0

dae48a50c2d41cee7a17a1643cdfb185e9a03591

3,274

py

Python

experiments_histogram.py

LaGuer/DeepSphere

5a02ac01b8fe3a5b9814ae9efd20d10e0c843209

[ "MIT" ]

71

2018-10-30T09:46:19.000Z

2020-02-15T12:02:00.000Z

experiments_histogram.py

aosheng1996/DeepSphere

ebcf162eaa6e23c1c92dbc84e0908695bb7245d7

[ "MIT" ]

9

2018-10-31T02:32:00.000Z

2020-02-12T08:55:43.000Z

experiments_histogram.py

aosheng1996/DeepSphere

ebcf162eaa6e23c1c92dbc84e0908695bb7245d7

[ "MIT" ]

16

2018-10-31T00:32:33.000Z

2020-01-19T21:24:46.000Z

#!/usr/bin/env python3 # coding: utf-8 """ Script to run the baseline experiment: SVM classification with histogram features. """ import os import sys import numpy as np from deepsphere import experiment_helper from grid import pgrid def single_experiment(sigma, order, sigma_noise, path): """Run as experiment...

35.204301

153

0.678986

442

3,274

4.78733

0.29638

0.051985

0.056711

0.066163

0.245274

0.216919

0.192344

0.121928

0.041588

0

0.012576

0.198534

3,274

92

154

35.586957

0.793826

0.072999

0

0.050847

0

0.099003

0.022259

0

1

0.016949

false

0

0.084746

0

0.118644

0.084746

0

null

0

null

0

1

0

dae6cac23452498b7274b531bf02a845882db8e7

2,827

py

Python

tests/deepspeed/ds_pipe.py

drunkcoding/model-inference

02d2240bc7052fa32223a80fa63625fe681db102

[ "MIT" ]

1

2021-11-15T19:07:13.000Z

tests/deepspeed/ds_pipe.py

drunkcoding/model-inference

02d2240bc7052fa32223a80fa63625fe681db102

[ "MIT" ]

null

tests/deepspeed/ds_pipe.py

drunkcoding/model-inference

02d2240bc7052fa32223a80fa63625fe681db102

[ "MIT" ]

null

import os import torch.cuda from hfutils.model_pipe import T5DeepSpeedPipe import deepspeed from tqdm import tqdm from transformers.models.t5.configuration_t5 import T5Config from transformers import DataCollatorForSeq2Seq, default_data_collator import argparse from deepspeed.utils import RepeatingLoader from hfutils....

30.074468

81

0.723382

345

2,827

5.649275

0.344928

0.039507

0.030785

0.056439

0

0.010261

0.172621

2,827

93

82

30.397849

0.823001

0.140432

0

0.070306

0.027295

0

1

0.063492

false

0

0.222222

0.031746

0.333333

0

null

0

null

0

1

0

dae6f59082823ad960155ff941d486f9928ce8dd

2,694

py

Python

Polynomial_dict.py

chapman-phys227-2016s/hw-7-patti102

8688cbb3649ae623ec870ea380cd7470d69a2517

[ "MIT" ]

null

Polynomial_dict.py

chapman-phys227-2016s/hw-7-patti102

8688cbb3649ae623ec870ea380cd7470d69a2517

[ "MIT" ]

null

Polynomial_dict.py

chapman-phys227-2016s/hw-7-patti102

8688cbb3649ae623ec870ea380cd7470d69a2517

[ "MIT" ]

null

import numpy import copy class Polynomial(object): def __init__(self, coefficients): self.coeff = coefficients def __call__(self, x): """Evaluate the polynomial.""" s = 0 for degree in self.coeff: s += self.coeff[degree]*x**degree return s def __add__(s...

32.853659

129

0.528582

349

2,694

3.939828

0.234957

0.117818

0.036364

0.056727

0.251636

0.208

0.151273

0.129455

0

0.039869

0.320342

2,694

82

130

32.853659

0.711087

0.101336

0

0.206349

0

0.042571

0

0.031746

1

0.142857

false

0

0.047619

0

0.301587

0

null

0

null

0

1

0

daeae031a92bdd332e807b1e1b225a48f958d13f

4,283

py

Python

pymultimediacompression/videomedia/compressor.py

AbdullrhmanAljasser/PyMultiMediaCompression

0ed5a1ac43050b1c9fe84f277a18beaf4bbdc705

[ "MIT" ]

null

pymultimediacompression/videomedia/compressor.py

AbdullrhmanAljasser/PyMultiMediaCompression

0ed5a1ac43050b1c9fe84f277a18beaf4bbdc705

[ "MIT" ]

null

pymultimediacompression/videomedia/compressor.py

AbdullrhmanAljasser/PyMultiMediaCompression

0ed5a1ac43050b1c9fe84f277a18beaf4bbdc705

[ "MIT" ]

null

import os import ffmpeg import subprocess import shutil from pymultimediacompression.utilities.utils import bitrate_size_based, gb_to_bit, mb_to_bit, kb_to_bit, b_to_bit MISSING_REQUIREMENTS = "FFmpeg required to be installed to use PyMultiMediaCompression \n Check https://github.com/AbdullrhmanAljasser/PyMultiM...

32.694656

160

0.632267

541

4,283

4.855823

0.273567

0.027408

0.013323

0.020936

0.159878

0.094404

0.031214

0

0.004177

0.273406

4,283

131

161

32.694656

0.839974

0.081018

0

0.268293

0

0.176433

0.015287

0

0.007634

0

1

0.02439

false

0

0.060976

0

0.097561

0

null

0

null

0

1

0

daf17f6b45920374fa2e9b1df4b56aef139d6271

5,822

py

Python

python/interpreter/environment.py

yehzhang/x9

2d06767ecd3521e9255748d14ab43938d1693bbc

[ "MIT" ]

1

2017-11-19T02:04:44.000Z

python/interpreter/environment.py

yehzhang/x9

2d06767ecd3521e9255748d14ab43938d1693bbc

[ "MIT" ]

null

python/interpreter/environment.py

yehzhang/x9

2d06767ecd3521e9255748d14ab43938d1693bbc

[ "MIT" ]

null

from collections import defaultdict class Environment: def __init__(self, config): self.aliases = {} self.registers = Registers(self.aliases, config) self.memory = Memory(config) # :type Dict[str, Label]: {label_name: Label} self.labels = {} self.execution_count = 0...

29.256281

82

0.567159

748

5,822

4.241979

0.195187

0.031201

0.013867

0.023952

0.270407

0.243303

0.153167

0.135518

0

0.012389

0.306767

5,822

198

83

29.40404

0.773786

0.137238

0

0.224

0

0.061031

0

0.000825

0

0.064

1

0.184

false

0

0.008

0.04

0.36

0

null

0

null

0

1

0

daf44bfec449975c869de1732b37b6845adb00a5

4,225

py

Python

WebUtils/Funcs.py

PeaceWorksTechnologySolutions/w4py

74f5a03a63f1a93563502b908474aefaae2abda2

[ "MIT" ]

18

2016-08-01T20:15:59.000Z

2019-12-24T16:00:03.000Z

WebUtils/Funcs.py

WebwareForPython/w4py

bba08f5974d49f5da7e88abe3eeda1037d0824a3

[ "MIT" ]

6

2016-09-13T05:48:45.000Z

2020-01-09T18:29:12.000Z

WebUtils/Funcs.py

WebwareForPython/w4py

bba08f5974d49f5da7e88abe3eeda1037d0824a3

[ "MIT" ]

6

2016-09-16T14:32:29.000Z

2020-01-03T18:52:16.000Z

"""WebUtils.Funcs This module provides some basic functions that are useful in HTML and web development. You can safely import * from WebUtils.Funcs if you like. """ __all__ = [ 'htmlEncode', 'htmlEncodeStr', 'htmlDecode', 'urlEncode', 'urlDecode', 'htmlForDict', 'requestURI', 'normURL'] htmlForNone = '-' ...

28.741497

80

0.59574

517

4,225

4.837524

0.355899

0.019992

0.014394

0.020392

0.145542

0.102359

0

0.001307

0.27574

4,225

146

81

28.938356

0.816013

0.300592

0

0.068182

0

0.011364

0.11676

0.024895

0

1

0.068182

false

0

0.011364

0

0.193182

0

null

0

null

0

1

0

daf646afbefc8a29534d759d8a3042f9a4ff070a

8,996

py

Python

src/slizzy/main.py

matheushsouza/slizzy

f224b8e4621d11031315da9178202781b4a2dcef

[ "BSD-3-Clause" ]

1

2019-12-24T03:08:12.000Z

src/slizzy/main.py

matheushsouza/slizzy

f224b8e4621d11031315da9178202781b4a2dcef

[ "BSD-3-Clause" ]

null

src/slizzy/main.py

matheushsouza/slizzy

f224b8e4621d11031315da9178202781b4a2dcef

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 import argparse import enum import sys import slizzy.config as config import slizzy.version as version from slizzy.track import Track from slizzy.util import color, logging, time __all__ = [ "module", "all_modules", "slizzy" ] module = enum.Enum("modules", "slider mp3co zippy") all...

25.925072

101

0.619942

1,130

8,996

4.841593

0.215044

0.029245

0.023762

0.026321

0.235971

0.178212

0.139828

0.104551

0.077682

0.056114

0

0.008097

0.258671

8,996

346

102

26

0.812266

0.022343

0

0.277154

0

0.003745

0.200933

0

1

0.022472

false

0.003745

0.05618

0

0.097378

0.059925

0

null

0

null

0

1

0

97008b753f686abd12cd11cf56dd253fd134810a

2,120

py

Python

hugs/manager.py

Bogdanp/hugs

e7f16f15369fbe3da11d89882d76c7ef432f3709

[ "BSD-3-Clause" ]

22

2017-07-20T18:02:27.000Z

2021-06-10T13:06:22.000Z

hugs/manager.py

Bogdanp/hugs

e7f16f15369fbe3da11d89882d76c7ef432f3709

[ "BSD-3-Clause" ]

null

hugs/manager.py

Bogdanp/hugs

e7f16f15369fbe3da11d89882d76c7ef432f3709

[ "BSD-3-Clause" ]

2

2019-12-11T20:44:08.000Z

2021-02-02T04:37:04.000Z

import functools import sqlite3 from .repository import Repository try: from psycopg2.extras import DictRow, RealDictRow ROW_CLASSES = (dict, sqlite3.Row, DictRow, RealDictRow) except ImportError: # pragma: no cover ROW_CLASSES = (dict, sqlite3.Row) class Manager: """Managers extend repositories w...

29.859155

90

0.628774

257

2,120

5.089494

0.357977

0.055046

0.036697

0.03211

0.365443

0.328746

0

0.005305

0.288679

2,120

70

91

30.285714

0.862069

0.197642

0

0.227273

0

0.005952

0

1

0.136364

false

0

0.113636

0

0.431818

0

null

0

null

0

1

0

970361b69af566e027101b9098d4da56f00db470

3,344

py

Python

spydrnet/__init__.py

ganeshgore/spydrnet

22672b8fc7d63461a71077bd20f29df6d38e96f4

[ "BSD-3-Clause" ]

null

spydrnet/__init__.py

ganeshgore/spydrnet

22672b8fc7d63461a71077bd20f29df6d38e96f4

[ "BSD-3-Clause" ]

null

spydrnet/__init__.py

ganeshgore/spydrnet

22672b8fc7d63461a71077bd20f29df6d38e96f4

[ "BSD-3-Clause" ]

null

""" SpyDrNet ======== SpyDrNet is an EDA tool for analyzing and transforming netlists. See https://byuccl.github.io/spydrnet for more details. """ import importlib import pkgutil import pathlib import sys import os discovered_plugins = { name: importlib.import_module(name) for finder, name, ispkg in pkg...

30.962963

110

0.739833

440

3,344

5.395455

0.370455

0.050548

0.026959

0.00337

0.09604

0.071609

0.034541

0

0.001047

0.142943

3,344

107

111

31.252336

0.827285

0.052632

0

0.078947

0

0.013158

0.106046

0.007281

0

0.013158

1

0.039474

false

0

0.263158

0

0.342105

0.039474

0

null

0

null

0

1

0

9703d55b61dbe9671b606d116415a69bd78ce48a

620

py

Python

tools/sparse_dense_size_comparison.py

3rror/aca_pathfinding_project

d7a91b1491e8eca08849e526634bdaa9a3833fa2

[ "MIT" ]

null

tools/sparse_dense_size_comparison.py

3rror/aca_pathfinding_project

d7a91b1491e8eca08849e526634bdaa9a3833fa2

[ "MIT" ]

null

tools/sparse_dense_size_comparison.py

3rror/aca_pathfinding_project

d7a91b1491e8eca08849e526634bdaa9a3833fa2

[ "MIT" ]

null

# Compare memory usage of a dense and a sparse adjancency matrix. # # Requires numpy. Install it with `pip3 install --user numpy` # Authors: Gianluca Andreotti, Aurora Lucrezia Castro import numpy as np from scipy.sparse import csr_matrix import sys def load_matrix(file): matrix = np.loadtxt(file, dtype=int, nd...

25.833333

66

0.696774

93

620

4.473118

0.591398

0.043269

0.057692

0

0.021825

0.187097

620

23

67

26.956522

0.803571

0.282258

0

0.238636

0.061364

0

1

0.076923

false

0

0.230769

0

0.307692

0

null

0

null

0

1

0

97062759c3659ac5db7690deb35f3812cc14b685

5,298

py

Python

app/crypto_algo.py

paul3bin/cryptography-api

13145ef897dcd3e5d4850bbf9f3572556a055e22

[ "MIT" ]

null

app/crypto_algo.py

paul3bin/cryptography-api

13145ef897dcd3e5d4850bbf9f3572556a055e22

[ "MIT" ]

null

app/crypto_algo.py

paul3bin/cryptography-api

13145ef897dcd3e5d4850bbf9f3572556a055e22

[ "MIT" ]

null

from pandas import DataFrame class CaesarCipher: def __init__(self, text, key) -> None: self.text = text self.key = key def decrypt(self): decipheredText = "" for ch in self.text.upper(): if ch.isalpha(): newchar = ord(ch)-self.key ...

35.32

118

0.466214

554

5,298

4.400722

0.236462

0.045939

0.022559

0.337982

0.283019

0.251846

0.235439

0.208368

0.182937

0

0.017001

0.322763

5,298

149

119

35.557047

0.662486

0.090411

0

0.291262

0

0.074667

0.012063

0.009709

0

1

0.15534

false

0

0.009709

0.038835

0.330097

0

null

0

null

0

1

0

97072840b3c078e668d6a47321880a4ea8713698

2,638

py

Python

MultiPManager/brokermq.py

sebastiantrianac/SoftTLON

3b798393efbd49b4a22acf19a056d64bef1d0ddf

[ "MIT" ]

null

MultiPManager/brokermq.py

sebastiantrianac/SoftTLON

3b798393efbd49b4a22acf19a056d64bef1d0ddf

[ "MIT" ]

null

MultiPManager/brokermq.py

sebastiantrianac/SoftTLON

3b798393efbd49b4a22acf19a056d64bef1d0ddf

[ "MIT" ]

null

#!/usr/bin/env python # coding=utf-8 # # A module for create a multi-agent system over Ad-hoc networks # Copyright (C) 2017-2018 # Juan Sebastian Triana Correa <justrianaco@unal.edu.co> # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser Public License as publ...

33.820513

96

0.689917

344

2,638

5.119186

0.453488

0.044293

0.040886

0.0477

0.303805

0.289608

0.230551

0

0.009497

0.201668

2,638

77

97

34.25974

0.826686

0.331691

0

0.363636

0

0.114237

0.013203

0

1

0.113636

false

0

0.113636

0

0.295455

0.090909

0

null

0

null

0

1

0

9707bc0df9d0b4b62a5f4981d1500fdead7c395d

672

py

Python

tests/span/span_helpers.py

dmytroxshevchuk/sonic-mgmt

b784e598a063aba71fdf9ca23fe142840926e4cf

[ "Apache-2.0" ]

132

2016-10-19T12:34:44.000Z

2022-03-16T09:00:39.000Z

tests/span/span_helpers.py

dmytroxshevchuk/sonic-mgmt

b784e598a063aba71fdf9ca23fe142840926e4cf

[ "Apache-2.0" ]

3,152

2016-09-21T23:05:58.000Z

2022-03-31T23:29:08.000Z

tests/span/span_helpers.py

dmytroxshevchuk/sonic-mgmt

b784e598a063aba71fdf9ca23fe142840926e4cf

[ "Apache-2.0" ]

563

2016-09-20T01:00:15.000Z

2022-03-31T22:43:54.000Z

''' Helper functions for span tests ''' import ptf.testutils as testutils def send_and_verify_mirrored_packet(ptfadapter, src_port, monitor): ''' Send packet from ptf and verify it on monitor port Args: ptfadapter: ptfadapter fixture src_port: ptf port index, from which packet will be sen...

29.217391

84

0.71875

96

672

4.864583

0.4375

0.042827

0.051392

0.025696

0

0.001848

0.19494

672

22

85

30.545455

0.861368

0.36756

0

0.044041

0

1

0.142857

false

0

0.142857

0

0.285714

0

null

0

null

0

1

0

97089962ed3ea0a8a6e34e92416d3e39210a2bda

9,039

py

Python

bonobo/nodes/basics.py

a-musing-moose/bonobo

b3e9ddd028aed4a8a4df8e4b89334951a343e6fa

[ "Apache-2.0" ]

null

bonobo/nodes/basics.py

a-musing-moose/bonobo

b3e9ddd028aed4a8a4df8e4b89334951a343e6fa

[ "Apache-2.0" ]

null

bonobo/nodes/basics.py

a-musing-moose/bonobo

b3e9ddd028aed4a8a4df8e4b89334951a343e6fa

[ "Apache-2.0" ]

null

import functools import html import itertools import pprint from bonobo import settings from bonobo.config import Configurable, Option, Method, use_raw_input, use_context, use_no_input from bonobo.config.functools import transformation_factory from bonobo.config.processors import ContextProcessor, use_context_processo...

27.557927

120

0.605819

1,056

9,039

5.042614

0.214962

0.022535

0.021972

0.01784

0.212207

0.176338

0.073615

0.058592

0.039437

0

0.005682

0.279566

9,039

327

121

27.642202

0.812039

0.093263

0

0.229358

0

0.060144

0

0.006116

0

1

0.133028

false

0

0.06422

0.013761

0.316514

0.059633

0

null

0

null

0

1

0

9709d0267ed5104b57450430822594c17f2e9707

1,093

py

Python

examplesimple.py

atxarib99/kNN

20c41a549f9f101478c1523b2ba683a8058fa6c8

[ "MIT" ]

null

examplesimple.py

atxarib99/kNN

20c41a549f9f101478c1523b2ba683a8058fa6c8

[ "MIT" ]

null

examplesimple.py

atxarib99/kNN

20c41a549f9f101478c1523b2ba683a8058fa6c8

[ "MIT" ]

null

''' This file serves to be an example on how to use kNN. This file is the simplified version with no graphs. For an example with graphs, check example.py Change k, noise, and amount of data to see how accuracy is affected. ''' import kNN as knn import modeler #setup the trainer. Tune your k parameter here. tr...

34.15625

153

0.743824

169

1,093

4.810651

0.544379

0.01968

0

0.015625

0.180238

1,093

32

154

34.15625

0.891741

0.547118

0

0.016949

0

1

0

false

0

0.166667

0

0.166667

0.083333

0

null

0

null

0

1

0

970a946d901c0d355d2502d9d1f07264bbcb2be3

424

py

Python

python/simpletest/test.py

hackin-zhao/interesting_code

25fecb716f5c8f9143ec2824bbf8996b347ce8a9

[ "MIT" ]

1

2021-09-22T10:56:13.000Z

python/simpletest/test.py

hackin-zhao/interesting_code

25fecb716f5c8f9143ec2824bbf8996b347ce8a9

[ "MIT" ]

1

2022-02-15T03:53:47.000Z

python/simpletest/test.py

hackin-zhao/interesting_code

25fecb716f5c8f9143ec2824bbf8996b347ce8a9

[ "MIT" ]

null

import unittest from mathtest import add, minus class TestMathFunc(unittest.TestCase): """ Test math function """ def test_add(self): """ Test method add(a,b) """ self.assertEqual(3, add(1, 2)) self.assertNotEqual(3, add(2, 2)) def test_minus(self): """ Test method test m...

21.2

43

0.601415

56

424

4.375

0.446429

0.057143

0.114286

0.138776

0

0.028213

0.247642

424

19

44

22.315789

0.739812

0.162736

0

0.023881

0

0.3

1

0.2

false

0

0.2

0

0.5

0

null

0

null

0

1

0

970bccc21f91dbbbb912e9ec8f46b93496941b85

585

py

Python

src/data/439.py

NULLCT/LOMC

79a16474a8f21310e0fb47e536d527dd5dc6d655

[ "MIT" ]

null

src/data/439.py

NULLCT/LOMC

79a16474a8f21310e0fb47e536d527dd5dc6d655

[ "MIT" ]

null

src/data/439.py

NULLCT/LOMC

79a16474a8f21310e0fb47e536d527dd5dc6d655

[ "MIT" ]

null

#!/usr/bin/env python3 from collections import deque N, Q = map(int, input().split()) G = [[] for _ in range(N)] for _ in range(N - 1): a, b = map(lambda x: int(x) - 1, input().split()) G[a].append(b) G[b].append(a) s = 0 dist = [-1] * N que = deque() que.append(s) dist[s] = 0 while que: i = que.pople...

20.172414

53

0.499145

101

585

2.861386

0.386139

0.103806

0.076125

0.17301

0

0.021792

0.294017

585

28

54

20.892857

0.677966

0.035897

0

0.01421

0

1

0

false

0

0.041667

0

0.041667

0.083333

0

null

0

null

0

1

0

970ca64e46ad17397f8882ea7b2df30130763068

5,384

py

Python

axis_inspection/axis_inspection/report/project_status_summary/project_status_summary.py

Subramani830/testrepo

4568c628dc0731d08315ebc830dc813e0abfc60d

[ "MIT" ]

null

axis_inspection/axis_inspection/report/project_status_summary/project_status_summary.py

Subramani830/testrepo

4568c628dc0731d08315ebc830dc813e0abfc60d

[ "MIT" ]

null

axis_inspection/axis_inspection/report/project_status_summary/project_status_summary.py

Subramani830/testrepo

4568c628dc0731d08315ebc830dc813e0abfc60d

[ "MIT" ]

null

# Copyright (c) 2013, veena and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe import _ def execute(filters=None): columns = get_columns() data = [] conditions=get_conditions(filters) data = get_data(filters,conditions) for projec...

25.158879

527

0.633172

617

5,384

5.345219

0.197731

0.030321

0.041237

0.029109

0.184657

0.09339

0.072771

0.05852

0

0.019035

0.180349

5,384

213

528

25.276995

0.728303

0.016716

0

0.169231

0

0.005128

0.381024

0.065961

0

1

0.030769

false

0

0.015385

0.005128

0.082051

0

null

0

null

0

1

0

971109a2af40ebe4d09693183a658f563772f76a

4,652

py

Python

animate_gp.py

mzwiessele/notebook_playground

14938eddf5491eb0356fa4f73d16047202131e4d

[ "BSD-2-Clause" ]

null

animate_gp.py

mzwiessele/notebook_playground

14938eddf5491eb0356fa4f73d16047202131e4d

[ "BSD-2-Clause" ]

null

animate_gp.py

mzwiessele/notebook_playground

14938eddf5491eb0356fa4f73d16047202131e4d

[ "BSD-2-Clause" ]

null

#=============================================================================== # Copyright (c) 2018, Max Zwiessele # 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 sour...

36.34375

97

0.593508

649

4,652

4.201849

0.417565

0.003667

0.0033

0.016868

0.151815

0.134213

0.126146

0.110011

0

0.031945

0.246346

4,652

127

98

36.629921

0.745864

0.377902

0

0.126582

0

0.041929

0

1

0.126582

false

0

0.063291

0.012658

0.303797

0

null

0

null

0

1

0

9711a13f8bc8673b475c4605a1bf57d9fc492541

1,190

py

Python

M4_Eval_SDK/Source/samples/python/console_window.py

analogdevicesinc/ApplicationsWaveTool

0c1f236dd0745caa3187841ee1a882f209ac3ebe

[ "Apache-2.0" ]

2

2019-03-11T15:24:51.000Z

2022-03-07T09:42:05.000Z

M4_Eval_SDK/Source/samples/python/console_window.py

analogdevicesinc/ApplicationsWaveTool

0c1f236dd0745caa3187841ee1a882f209ac3ebe

[ "Apache-2.0" ]

null

M4_Eval_SDK/Source/samples/python/console_window.py

analogdevicesinc/ApplicationsWaveTool

0c1f236dd0745caa3187841ee1a882f209ac3ebe

[ "Apache-2.0" ]

1

2021-03-16T08:26:05.000Z

import socket, sys, time, colorama, os from threading import * colorama.init(autoreset=True) serversocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) host = "localhost" port = int(sys.argv[1]) try: serversocket.bind((host, port)) except Exception as e: import traceback print("An error occurred whi...

28.333333

94

0.610084

150

1,190

4.753333

0.5

0.033661

0.037868

0.046283

0.082749

0.061711

0

0.012717

0.273109

1,190

41

95

29.02439

0.811561

0

0.166667

0

0.177311

0

1

0.055556

false

0

0.083333

0

0.166667

0.111111

0

null

0

null

0

1

0

97127268ae73df5b3be209c30b4a2132ec27b166

1,517

py

Python

src/day11.py

chao-mu/aoc2021

9cb0590a8de100f260a78f22e50d00d6acb13ae4

[ "CC0-1.0" ]

null

src/day11.py

chao-mu/aoc2021

9cb0590a8de100f260a78f22e50d00d6acb13ae4

[ "CC0-1.0" ]

null

src/day11.py

chao-mu/aoc2021

9cb0590a8de100f260a78f22e50d00d6acb13ae4

[ "CC0-1.0" ]

null

#!/usr/bin/env python3 from aoc2021.util import print_solutions, import_matrix from math import inf def part_1(dumbos): flashes = 0 for _ in range(100): for coord in dumbos: dumbos[coord] += 1 flashed = set() for coord, dumbo in dumbos.items(): if coord not in...

20.780822

89

0.544496

194

1,517

4.159794

0.262887

0.109046

0.022305

0.024783

0.506815

0.463445

0.453532

0

0.046397

0.332235

1,517

72

90

21.069444

0.750247

0.013843

0

0.470588

0

0.062876

0.032107

0

1

0.078431

false

0

0.078431

0

0.254902

0.058824

0

null

0

null

0

1

0

9713a29a49b88c9107c1462a864743e09d61110c

4,221

py

Python

bot.py

Ashkar2001/shareurlbotv1

f61913731f0064aceb7e67ed8f2b98e0de0015bb

[ "MIT" ]

3

2021-04-22T19:37:01.000Z

2022-03-28T09:09:19.000Z

bot.py

krbishnoi46/ShareurlbotV1

f61913731f0064aceb7e67ed8f2b98e0de0015bb

[ "MIT" ]

null

bot.py

krbishnoi46/ShareurlbotV1

f61913731f0064aceb7e67ed8f2b98e0de0015bb

[ "MIT" ]

2

2021-05-02T14:32:52.000Z

2021-09-13T19:42:02.000Z

import urllib from pyrogram import Client, filters from pyrogram.types import (InlineKeyboardButton, InlineKeyboardMarkup, InlineQueryResultArticle, InputTextMessageContent) from config import Config bot = Client( 'shareurl-generator', bot_token = Config.BOT_TOKEN, api_id = Config.API_ID, api_hash = Co...

55.539474

654

0.683487

548

4,221

5.144161

0.337591

0.027315

0.031926

0.108549

0.453352

0.397659

0.353317

0.327066

0

0.037119

0.144752

4,221

75

655

56.28

0.737396

0

0.125

0

0.0625

0.43331

0.054016

0

1

0.078125

false

0

0.0625

0

0.15625

0

null

0

null

0

1

0

9714d810307fa953764fccad45ba80c5500ed6fb

6,745

py

Python

scripts/pybeacondump.py

pjsier/il-2020-election-precinct-data

67a763aece2939c50cccd11fb3deeba61ca2b6e6

[ "MIT" ]

null

scripts/pybeacondump.py

pjsier/il-2020-election-precinct-data

67a763aece2939c50cccd11fb3deeba61ca2b6e6

[ "MIT" ]

null

scripts/pybeacondump.py

pjsier/il-2020-election-precinct-data

67a763aece2939c50cccd11fb3deeba61ca2b6e6

[ "MIT" ]

null

import collections import copy import http.client import json import re import sys import urllib.parse import bs4 import requests from geomet import wkt """ Based on conversation and code from https://github.com/openaddresses/machine/issues/580 """ BEACON_HEADERS = { "Content-Type": "application/json", "User...

31.666667

88

0.648184

905

6,745

4.708287

0.316022

0.029571

0.027458

0.033795

0.239615

0.230697

0.205116

0.133302

0

0.018487

0.214085

6,745

212

89

31.816038

0.785324

0.162639

0

0.09375

0

0.113048

0.007891

0

1

0.0625

false

0

0.078125

0

0.21875

0.015625

0

null

0

null

0

1

0

97176fec2bfad5af9c57f1ea37398060856e772d

22,033

py

Python

Lib/site-packages/pylint/checkers/base/basic_error_checker.py

edupyter/EDUPYTER38

396183cea72987506f1ef647c0272a2577c56218

[ "bzip2-1.0.6" ]

null

Lib/site-packages/pylint/checkers/base/basic_error_checker.py

edupyter/EDUPYTER38

396183cea72987506f1ef647c0272a2577c56218

[ "bzip2-1.0.6" ]

null

Lib/site-packages/pylint/checkers/base/basic_error_checker.py

edupyter/EDUPYTER38

396183cea72987506f1ef647c0272a2577c56218

[ "bzip2-1.0.6" ]

null

# Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html # For details: https://github.com/PyCQA/pylint/blob/main/LICENSE # Copyright (c) https://github.com/PyCQA/pylint/blob/main/CONTRIBUTORS.txt """Basic Error checker from the basic checker.""" from __future__ import annotations import iter...

38.318261

89

0.591113

2,568

22,033

4.92757

0.159657

0.021337

0.020547

0.022127

0.234945

0.168721

0.130947

0.099494

0.077999

0.068911

0

0.006959

0.315209

22,033

574

90

38.385017

0.831721

0.118459

0

0.268519

0

0.199033

0.042219

0

1

0.064815

false

0.002315

0.023148

0.002315

0.157407

0

null

0

null

0

1

0

971bccd2014298cba9295d6dd03cd7d5f6c9e5d5

12,539

py

Python

archived/main.py

joyjeni/detr-fine

dfc0f4abc2579a2b3ef4527904af3345c7a9de4d

[ "Apache-2.0" ]

null

archived/main.py

joyjeni/detr-fine

dfc0f4abc2579a2b3ef4527904af3345c7a9de4d

[ "Apache-2.0" ]

null

archived/main.py

joyjeni/detr-fine

dfc0f4abc2579a2b3ef4527904af3345c7a9de4d

[ "Apache-2.0" ]

null

""" Train and eval functions used in main.py """ import os import torch from torch.utils.data import DataLoader, DistributedSampler import math import sys import time import datetime from typing import Iterable from pathlib import Path import json import random import numpy as np import torch import wandb from datase...

31.037129

87

0.670229

1,668

12,539

4.788969

0.185252

0.039935

0.017902

0.014021

0.220831

0.166875

0.137331

0.090636

0.082123

0.044567

0

0.00708

0.23407

12,539

403

88

31.114144

0.824656

0.044182

0

0.121875

0

0.045489

0.007442

0

0.003125

1

0.01875

false

0.00625

0.059375

0

0.090625

0.028125

0

null

0

null

0

1

0

9721be068a8518541b5cace614456bd0b705d2e4

1,231

py

Python

motion_optimizer.py

sehoonha/pydart_green_stair

a644355c6ef8068aea5cd0c807b74454f2f9ce4d

[ "MIT" ]

null

motion_optimizer.py

sehoonha/pydart_green_stair

a644355c6ef8068aea5cd0c807b74454f2f9ce4d

[ "MIT" ]

null

motion_optimizer.py

sehoonha/pydart_green_stair

a644355c6ef8068aea5cd0c807b74454f2f9ce4d

[ "MIT" ]

null

import logging import scipy.optimize class MotionOptimizer(object): def __init__(self, motion, evaluator): self.logger = logging.getLogger(__name__) self.motion = motion self.evaluator = evaluator def obj(self, x): self.counter += 1 self.motion.set_params(x) co...

33.27027

72

0.523964

141

1,231

4.510638

0.375887

0.078616

0.04717

0.078616

0

0.055215

0.337937

1,231

36

73

34.194444

0.725153

0.073924

0

0.115317

0

1

0.103448

false

0

0.068966

0

0.241379

0

null

0

null

0

1

0

97223e918d7ed3c66e5db364f3b9dcfe0630ba1d

64,626

py

Python

crystalparser/crystal_parser.py

nomad-coe/nomad-parser-crystal

b9e2e6d0973372a803f9caa2b719a91f6b9e4139

[ "Apache-2.0" ]

null

crystalparser/crystal_parser.py

nomad-coe/nomad-parser-crystal

b9e2e6d0973372a803f9caa2b719a91f6b9e4139

[ "Apache-2.0" ]

null

crystalparser/crystal_parser.py

nomad-coe/nomad-parser-crystal

b9e2e6d0973372a803f9caa2b719a91f6b9e4139

[ "Apache-2.0" ]

null

# # Copyright The NOMAD Authors. # # This file is part of NOMAD. # See https://nomad-lab.eu for further info. # # 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/lic...

52.033816

262

0.512781

7,016

64,626

4.502281

0.105616

0.046727

0.060783

0.008104

0.428834

0.372515

0.31474

0.289762

0.252818

0.225307

0

0.008146

0.350339

64,626

1,241

263

52.075745

0.744218

0.07302

0

0.34476

0

0.05191

0.254424

0.115596

0

1

0.01763

false

0

0.011753

0.000979

0.047013

0

null

0

null

0

1

0

9723dfd188ebc676983837f7b0d623a43502f121

3,540

py

Python

eval/img_mask_util.py

zhxl0903/Apple-Segmentation-FCN

0a072e2a6dd3b68b8a95c78b14091d33549fb4a2

[ "MIT" ]

1

2022-01-22T14:40:22.000Z

eval/img_mask_util.py

zhxl0903/Apple-Segmentation-FCN

0a072e2a6dd3b68b8a95c78b14091d33549fb4a2

[ "MIT" ]

null

eval/img_mask_util.py

zhxl0903/Apple-Segmentation-FCN

0a072e2a6dd3b68b8a95c78b14091d33549fb4a2

[ "MIT" ]

null

import os import numpy as np from PIL import Image import cv2 class ImageMaskUtil: # RGB Color Maps for labelling label_color_map = { 'background': (0, 0, 0), # background 'apple': (224, 0, 224), # apple } def __init__(self, img_dir=None, mask_dir=None, transforms=None): pri...

37.263158

107

0.620339

515

3,540

4.071845

0.254369

0.025751

0.019075

0.026705

0.299475

0.269909

0.250835

0.221268

0.207439

0

0.013354

0.259605

3,540

94

108

37.659574

0.786723

0.131073

0

0.206349

0

0.108653

0

1

0.126984

false

0.015873

0.063492

0.031746

0.285714

0.031746

0

null

0

null

0

1

0

97265f76f9295dbfffcf1f1e54d2fcd3f6836b66

4,340

py

Python

deploy.py

f5devcentral/volterra-management

8f10cad2f87a50766f85db6dbb33e1eedcebc969

[ "Apache-2.0" ]

null

deploy.py

f5devcentral/volterra-management

8f10cad2f87a50766f85db6dbb33e1eedcebc969

[ "Apache-2.0" ]

7

2021-08-10T22:56:47.000Z

2022-02-16T13:56:47.000Z

deploy.py

f5devcentral/volterra-management

8f10cad2f87a50766f85db6dbb33e1eedcebc969

[ "Apache-2.0" ]

null

from az.cli import az import os, configparser def checkVars(config): required_vars = { 'AADclientID': False, 'AADtenantID': False, 'AADsecret': False, 'AADGroupName': False, 'VoltTenantApiToken': False, 'VoltTenantTokenName': False, 'VoltTenantName': False, ...

40.560748

192

0.654608

453

4,340

6.231788

0.331126

0.014169

0.008502

0.019129

0.204038

0.045342

0

0.010089

0.200691

4,340

106

193

40.943396

0.80369

0.045161

0

0.02381

0

0.047619

0.402852

0.016191

0

1

0.083333

false

0.011905

0.02381

0.011905

0.154762

0.035714

0

null

0

null

0

1

0

9726974206475436bf6ec6fcd8ca28dbc44033c4

710

py

Python

Linguagens/Python/Exercicios/cursos_em_video/aulas-22_23/109.py

rafaelvizu/Estudos

eef5e3e3706ff99959226c51b9907b6af4377bfe

[ "MIT" ]

null

Linguagens/Python/Exercicios/cursos_em_video/aulas-22_23/109.py

rafaelvizu/Estudos

eef5e3e3706ff99959226c51b9907b6af4377bfe

[ "MIT" ]

null

Linguagens/Python/Exercicios/cursos_em_video/aulas-22_23/109.py

rafaelvizu/Estudos

eef5e3e3706ff99959226c51b9907b6af4377bfe

[ "MIT" ]

null

from pacotes import ex109 print('\033[36;40mExercício Python #109 - Formatando Moedas em Python\033[m\n') v = float(input('Digite o valor: ')) escolhaMoeda = False while True: escolha = str(input('Ele devera ser formatado como moeda? [s/n]: ')).strip().lower()[0] if escolha == 's' or escolha == 'n': ...

33.809524

91

0.647887

102

710

4.509804

0.568627

0.052174

0.117391

0.03913

0

0.064014

0.185915

710

21

92

33.809524

0.731834

0

0.0625

0.541491

0

1

0

false

0

0.0625

0

0.0625

0.375

0

null

0

null

0

1

0

9728ac0573f8175100d55ffa0754e092810cb584

662

py

Python

loadbalanceRL/lib/environment/cellular/dev/apis.py

fqzhou/LoadBalanceControl-RL

689eec3b3b27e121aa45d2793e411f1863f6fc0b

[ "MIT" ]

11

2018-10-29T06:50:43.000Z

2022-03-28T14:26:09.000Z

loadbalanceRL/lib/environment/cellular/dev/apis.py

fqzhou/LoadBalanceControl-RL

689eec3b3b27e121aa45d2793e411f1863f6fc0b

[ "MIT" ]

1

2022-03-01T13:46:25.000Z

loadbalanceRL/lib/environment/cellular/dev/apis.py

fqzhou/LoadBalanceControl-RL

689eec3b3b27e121aa45d2793e411f1863f6fc0b

[ "MIT" ]

6

2019-02-05T20:01:53.000Z

2020-09-04T12:30:00.000Z

#! /usr/bin/env python3 # -*- coding: utf-8 -*- """ Contains list of APIs for Development model """ __author__ = 'Ari Saha (arisaha@icloud.com), Mingyang Liu(liux3941@umn.edu)' # Index INDEX = '/index' # Environment params NUM_UES = '/num_ues' NUM_APS = '/num_aps' AP_LIST = '/ap_list' AP_INFO = '/ap_info/' BR_LIS...

22.066667

76

0.702417

98

662

4.336735

0.469388

0.112941

0.042353

0.112941

0

0.010417

0.129909

662

29

77

22.827586

0.727431

0.172205

0

0.460967

0.124535

0

1

0

false

0

null

0

null

0

1

0

972a2b2e21605641fa0b11bb08a11cacd4d680ed

9,349

py

Python

src/cli.py

terraspanner/terraspanner-cli

0538e8d17fdd1bd03b999fe4386e95c896c9611c

[ "Apache-2.0" ]

null

src/cli.py

terraspanner/terraspanner-cli

0538e8d17fdd1bd03b999fe4386e95c896c9611c

[ "Apache-2.0" ]

null

src/cli.py

terraspanner/terraspanner-cli

0538e8d17fdd1bd03b999fe4386e95c896c9611c

[ "Apache-2.0" ]

null

from optparse import OptionParser import os import tempfile from git import Repo from python_terraform import * import logging import json import re import copy logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.INFO) tf = Terraform() default_git_user=os.getenv('GIT_USER') default_git_token=os.get...

57.355828

244

0.708525

1,301

9,349

4.939277

0.166026

0.042017

0.070028

0.032524

0.619203

0.582944

0.573607

0.561469

0.537193

0

0.002436

0.165793

9,349

163

245

57.355828

0.821516

0.182479

0

0.37037

0

0.014815

0.306422

0.006946

0

1

0.059259

false

0

0.066667

0

0.17037

0

null

0

null

0

1

0

972cb8d5d6817e9274b9009a061e7f62e70b9c3c

543

py

Python

07. Python-Fundamentals-Strings-and-Text-Processing/07 Serialise.py

Bugzey/Softuni-Python-Fundamentals

6f66e143809988398896cfc771cce1db9220df27

[ "MIT" ]

1

2021-01-31T00:14:08.000Z

07. Python-Fundamentals-Strings-and-Text-Processing/07 Serialise.py

Bugzey/Softuni-Python-Fundamentals

6f66e143809988398896cfc771cce1db9220df27

[ "MIT" ]

null

07. Python-Fundamentals-Strings-and-Text-Processing/07 Serialise.py

Bugzey/Softuni-Python-Fundamentals

6f66e143809988398896cfc771cce1db9220df27

[ "MIT" ]

null

# Get a string, print a list of chars and the indices of those chars user_input = input() str_order = list(user_input) str_dict = {} str_dict = {key: [] for key in str_order} for key in str_dict.keys(): start_index = 0 while True: try: start_index = user_input.index(key, start_index) ...

28.578947

73

0.61326

81

543

3.91358

0.432099

0.132492

0.094637

0.104101

0.217666

0.132492

0

0.005013

0.265193

543

18

74

30.166667

0.789474

0.121547

0

0.008457

0

1

0

false

0

0.066667

0

null

0

null

0

1

0

972d6292a88fb5c55480bbdced96a910e37ff845

1,323

py

Python

2algo/results and data complilation/time_complexity.py

allengrr/deadlock_project

933878077c45a7df04daa087407bb2620c064617

[ "MIT" ]

null

2algo/results and data complilation/time_complexity.py

allengrr/deadlock_project

933878077c45a7df04daa087407bb2620c064617

[ "MIT" ]

null

2algo/results and data complilation/time_complexity.py

allengrr/deadlock_project

933878077c45a7df04daa087407bb2620c064617

[ "MIT" ]

1

2021-03-21T17:54:26.000Z

import numpy as np import matplotlib.pyplot as plt plt.rcParams.update({'font.size': 22}) # marker size n = 10 x = np.arange(1, 100, 10) # x = np.arange(1, 7) algo_dict = {'RMS+Bankers': r'$ALG_1$', 'EDF+Bankers': r'$ALG_2$', 'RMS+wound wait': r'$ALG_3$', 'RMS+wait die': r'$ALG...

26.46

75

0.617536

226

1,323

3.544248

0.384956

0.069913

0.059925

0.11236

0.223471

0.134831

0.069913

0

0.050274

0.173091

1,323

50

76

26.46

0.681901

0.123205

0

0.240693

0

1

0

false

0

0.057143

0

0.057143

0

null

0

null

0

1

0

972f8b6751c5b2afa662f260119fde2fc1802242

3,633

py

Python

ykdl/extractors/pps.py

Fearyncess/ykdl

d12a7b4dbad936e6312e084848a19378ed47bbd7

[ "MIT" ]

1,153

2016-06-02T09:57:22.000Z

2021-05-14T13:02:35.000Z

ykdl/extractors/pps.py

Fearyncess/ykdl

d12a7b4dbad936e6312e084848a19378ed47bbd7

[ "MIT" ]

515

2016-06-02T10:03:10.000Z

2021-05-14T14:37:08.000Z

ykdl/extractors/pps.py

Fearyncess/ykdl

d12a7b4dbad936e6312e084848a19378ed47bbd7

[ "MIT" ]

274

2016-06-13T12:31:20.000Z

2021-04-13T02:20:04.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from ykdl.extractor import VideoExtractor from ykdl.videoinfo import VideoInfo from ykdl.util.html import get_content, add_header from ykdl.util.match import match1 from ykdl.compact import urlencode from .iqiyi.util import get_macid import json import time import random...

30.529412

83

0.512524

429

3,633

4.198135

0.358974

0.035536

0.033315

0.021099

0.041088

0

0.013636

0.333884

3,633

118

84

30.788136

0.730579

0.011561

0

0.019802

0

0.134857

0.01226

0

0.009901

1

0.039604

false

0

0.09901

0

0.237624

0

null

0

null

0

1

0

97325c37bd3759407fc051583513adc0103085dc

784

py

Python

python/mathematics/mat_exp.py

jtpio/algo-toolbox

d0f675889889ad52d853d948b0191bbd14c1e9cd

[ "MIT" ]

null

python/mathematics/mat_exp.py

jtpio/algo-toolbox

d0f675889889ad52d853d948b0191bbd14c1e9cd

[ "MIT" ]

null

python/mathematics/mat_exp.py

jtpio/algo-toolbox

d0f675889889ad52d853d948b0191bbd14c1e9cd

[ "MIT" ]

null

def mat_exp(mat, p, mod): """ Fast Matrix Exponentiation with modulo Parameters ---------- mat: numpy matrix The matrix to exponentiate. It must be a matrix that supports the * operator. p: int The power to raise the matrix to. mod: int The modulo value used t...

23.058824

75

0.468112

100

784

3.66

0.41

0.081967

0.060109

0.065574

0.071038

0

0.030973

0.423469

784

33

76

23.757576

0.778761

0.433673

0

0.125

0

1

0.0625

false

0

0.1875

0

null

0

null

0

1

0

9733165a2c2800de7fed4fd918055591257301d4

3,276

py

Python

python/01_italable_class/iter_advanced.py

sunao11/eGov_hourei

0731cfa43ac701ca17bec178f00f68f393efe7c8

[ "Apache-2.0" ]

2

2021-05-28T10:02:10.000Z

2021-06-10T09:02:08.000Z

python/01_italable_class/iter_advanced.py

sunao11/eGov_hourei

0731cfa43ac701ca17bec178f00f68f393efe7c8

[ "Apache-2.0" ]

1

2020-09-20T06:12:06.000Z

python/01_italable_class/iter_advanced.py

sunao11/eGov_hourei

0731cfa43ac701ca17bec178f00f68f393efe7c8

[ "Apache-2.0" ]

2

2021-06-12T08:54:49.000Z

2022-01-06T23:28:13.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- class Unit(object): """ The smallest unit. """ def __init__(self, value): if not isinstance(value, (float, int)): raise TypeError( f"@value must be integer or float value, but {value} was applied.") self._value ...

22.438356

83

0.537851

389

3,276

4.40874

0.213368

0.036735

0.027988

0.026239

0.233819

0.193003

0

0.007623

0.35928

3,276

145

84

22.593103

0.809433

0.264652

0

0.238095

0

0.113936

0

1

0.190476

false

0

0.015873

0.253968

0.095238

0

null

0

null

0

1

0

97340d2d28590597d1a93c772426eaebb769394a

2,101

py

Python

textinator/image.py

ijks/textinator

26c6cd3f7e4ee48e23fd66d809ebe0656d41a6b9

[ "MIT" ]

1

2015-03-08T18:20:30.000Z

textinator/image.py

ijks/textinator

26c6cd3f7e4ee48e23fd66d809ebe0656d41a6b9

[ "MIT" ]

null

textinator/image.py

ijks/textinator

26c6cd3f7e4ee48e23fd66d809ebe0656d41a6b9

[ "MIT" ]

null

from ansi.colour.rgb import rgb256 from ansi.colour.fx import reset class TextImage(): def __init__(self, original, palette): self.original = original self.palette = palette self.lines = self._build_lines() self.text = self._build_text() def _build_text(self): result = ...

25.011905

65

0.576392

258

2,101

4.53876

0.348837

0.040991

0.037575

0.034159

0.039283

0

0.022238

0.315088

2,101

83

66

25.313253

0.791522

0.111852

0

0.076923

0

0.016903

0

1

0.153846

false

0.019231

0.038462

0

0.346154

0

null

0

null

0

1

0

97344ad23f706ec259299413e63f1f8749dc6a20

14,126

py

Python

test/test_server.py

Gandalf-/apocrypha

0d524e9e292acb8744f31b82f0f9a21e6dece5a7

[ "MIT" ]

1

2018-06-25T01:08:52.000Z

test/test_server.py

Gandalf-/apocrypha

0d524e9e292acb8744f31b82f0f9a21e6dece5a7

[ "MIT" ]

6

2018-06-20T20:13:25.000Z

2019-01-13T00:08:08.000Z

test/test_server.py

Gandalf-/apocrypha

0d524e9e292acb8744f31b82f0f9a21e6dece5a7

[ "MIT" ]

null

#!/usr/bin/env python3 # pylint: disable=protected-access # pylint: disable=no-self-use # pylint: disable=missing-docstring # pylint: disable=too-many-public-methods import time import threading import unittest import apocrypha.client from apocrypha.exceptions import DatabaseError from apocrypha.server import Server...

29.864693

79

0.580348

1,584

14,126

5.082071

0.162879

0.084969

0.046584

0.077143

0.530435

0.478758

0.391056

0.339503

0.24882

0.226584

0

0.003509

0.273751

14,126

472

80

29.927966

0.781168

0.091675

0

0.361842

0

0.121275

0

0.233553

1

0.177632

false

0.009868

0.023026

0

0.220395

0.006579

0

null

0

null

0

1

0

9734571150ae79e21863d08655f64ceb72d55ed2

4,556

py

Python

pkgs/conf-pkg/src/genie/libs/conf/l2vpn/tests/test_xconnect.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

94

2018-04-30T20:29:15.000Z

2022-03-29T13:40:31.000Z

pkgs/conf-pkg/src/genie/libs/conf/l2vpn/tests/test_xconnect.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

67

2018-12-06T21:08:09.000Z

2022-03-29T18:00:46.000Z

pkgs/conf-pkg/src/genie/libs/conf/l2vpn/tests/test_xconnect.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

49

2018-06-29T18:59:03.000Z

2022-03-10T02:07:59.000Z

#!/usr/bin/env python import unittest from unittest.mock import Mock from genie.conf import Genie from genie.conf.base import Testbed, Device, Link, Interface from genie.libs.conf.l2vpn import Xconnect from genie.libs.conf.bgp import RouteTarget class test_xconnect(unittest.TestCase): def test_init(self): ...

40.318584

130

0.643986

532

4,556

5.343985

0.18797

0.126627

0.129441

0.081252

0.659163

0.604995

0.517763

0.412592

0.380584

0.368625

0

0.049758

0.228051

4,556

112

131

40.678571

0.758601

0.094162

0

0.382716

0

0.076288

0.026725

0

0.008929

0.246914

1

0.012346

false

0

0.098765

0

0.123457

0

null

0

null

0

1

0

973ab068516510d55017d4d9e5b92353475eda35

36,287

py

Python

srttools/io.py

matteobachetti/srt-single-dish-tools

db02eaa1bb958945a88c36c1be847d43bf6b10b4

[ "BSD-3-Clause" ]

2

2018-01-29T18:50:25.000Z

2018-06-18T23:41:43.000Z

srttools/io.py

matteobachetti/srt-single-dish-tools

db02eaa1bb958945a88c36c1be847d43bf6b10b4

[ "BSD-3-Clause" ]

95

2017-05-25T13:12:14.000Z

2018-09-24T10:33:11.000Z

srttools/io.py

matteobachetti/srt-single-dish-tools

db02eaa1bb958945a88c36c1be847d43bf6b10b4

[ "BSD-3-Clause" ]

3

2017-06-13T10:10:50.000Z

2018-06-08T12:35:57.000Z

"""Input/output functions.""" import astropy.io.fits as fits from astropy.table import Table import numpy as np import astropy.units as u from astropy.coordinates import ( EarthLocation, AltAz, Angle, ICRS, GCRS, SkyCoord, get_sun, ) import os from astropy.time import Time import warnings fr...

30.988044

79

0.584534

4,700

36,287

4.325319

0.140213

0.031876

0.023661

0.020906

0.313641

0.248364

0.205322

0.181071

0.142309

0.103891

0

0.022886

0.283518

36,287

1,170

80

31.01453

0.759029

0.171329

0

0.211286

0

0.001312

0.097449

0.002971

0

1

0.03937

false

0.002625

0.026247

0.001312

0.11811

0.013123

0

null

0

null

0

1

0

973cf34dab4ee39dd0d909e99162d9d5963e92b5

3,946

py

Python

src/main/evaluation/evals/evaluate_paper_latency_cdf.py

gaow0007/hire-cluster-simulator

2c3d466df4f694ca97392b01e4f2339845007645

[ "Apache-2.0" ]

10

2020-12-14T21:36:03.000Z

2021-11-24T10:59:14.000Z

src/main/evaluation/evals/evaluate_paper_latency_cdf.py

gaow0007/hire-cluster-simulator

2c3d466df4f694ca97392b01e4f2339845007645

[ "Apache-2.0" ]

2

2021-01-06T09:57:27.000Z

2021-12-16T06:41:18.000Z

src/main/evaluation/evals/evaluate_paper_latency_cdf.py

gaow0007/hire-cluster-simulator

2c3d466df4f694ca97392b01e4f2339845007645

[ "Apache-2.0" ]

2

2021-11-24T08:34:32.000Z

2021-12-02T03:15:52.000Z

#!/usr/bin/env python3 # coding=utf-8 import gc import logging import os import sys sys.path.append( # Figure out the path of the evaluation directory os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir)) ) from evals.base_evaluate import experiments_directory, get_evaluation_...

31.31746

110

0.601368

427

3,946

5.285714

0.437939

0.011077

0.023926

0.01595

0.072663

0

0.00798

0.301318

3,946

125

111

31.568

0.810664

0.081348

0

0.021277

0

0.159524

0.043406

0

1

0.021277

false

0

0.085106

0.010638

0.117021

0

null

0

null

0

1

0

973ea41ad870c8e44dccf1cf26f6c10aba40fa1a

6,814

py

Python

nerds_osmnx/overpass_query.py

anerv/NERDS_osmnx

c243317b3ac518269c63d2fcec0e51f9a7af8327

[ "MIT" ]

2

2022-03-02T15:56:49.000Z

2022-03-09T16:15:37.000Z

nerds_osmnx/overpass_query.py

anerv/NERDS_osmnx

c243317b3ac518269c63d2fcec0e51f9a7af8327

[ "MIT" ]

null

nerds_osmnx/overpass_query.py

anerv/NERDS_osmnx

c243317b3ac518269c63d2fcec0e51f9a7af8327

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Functions in order to make complex overpass query through osmnx. Use get_filter_graphs to get graph for specific filter, then create the union with compose_graph. Is a proxy of the lack of "or" syntax between keys, only able to make "or" inside keys or "and" between keys. """ import osmnx a...

41.803681

106

0.533607

709

6,814

4.916784

0.297602

0.05852

0.020654

0.019793

0.167814

0.139702

0.065118

0.055077

0.030981

0

0.009539

0.36924

6,814

162

107

42.061728

0.801536

0.269299

0

0.145833

0

0.010417

0.211185

0.062396

0

1

0.03125

false

0

0.041667

0

0.09375

0

null

0

null

0

1

0

973fb9aea59fde514b3cd0e87df8930e02f5134e

340

py

Python

platzigram/posts/urls.py

dirias/Curso-de-Django

e02878e2419c334c3a84e242cb9422b693f92227

[ "MIT" ]

null

platzigram/posts/urls.py

dirias/Curso-de-Django

e02878e2419c334c3a84e242cb9422b693f92227

[ "MIT" ]

null

platzigram/posts/urls.py

dirias/Curso-de-Django

e02878e2419c334c3a84e242cb9422b693f92227

[ "MIT" ]

null

"""POST URLS""" from django.urls import path # Views from posts import views urlpatterns = [ path(route = '', view=views.PostsFeedView.as_view(), name='feed'), path(route = 'posts/new/', view = views.PostCreateView.as_view(), name='create'), path(route='posts<int:pk>', view=views.PostDetailView.as_view(...

24.285714

85

0.676471

45

340

5.044444

0.488889

0.118943

0.132159

0

0.138235

340

13

86

26.153846

0.774744

0.047059

0

0.122642

0

1

0

false

0

0.285714

0

0.285714

0

null

0

null

0

1

0

97420ee00a60c2531a89c2990102430b05c0989b

1,168

py

Python

src/pybel/parser/modifiers/variant.py

tehw0lf/pybel

6f67f8cce15052cc3c42ef87374e3b9ee45e6519

[ "Apache-2.0" ]

null

src/pybel/parser/modifiers/variant.py

tehw0lf/pybel

6f67f8cce15052cc3c42ef87374e3b9ee45e6519

[ "Apache-2.0" ]

null

src/pybel/parser/modifiers/variant.py

tehw0lf/pybel

6f67f8cce15052cc3c42ef87374e3b9ee45e6519

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ HGVS Variants ~~~~~~~~~~~~~ For example, the node :code:`p(HGNC:GSK3B, var(p.Gly123Arg))` is represented with the following: .. code:: { FUNCTION: PROTEIN, NAMESPACE: 'HGNC', NAME: 'GSK3B', VARIANTS: [ { KIND: HGVS, ...

22.901961

132

0.626712

134

1,168

5.253731

0.522388

0.008523

0.06392

0

0.016538

0.223459

1,168

50

133

23.36

0.759647

0.59161

0

0.072848

0

1

0.083333

false

0

0.25

0

0.416667

0

null

0

null

0

1

0

9744fdec5f804af7a4c49433b6de9937927e1e26

1,044

py

Python

NumPy_Training/img_histogram_2D.py

jpenrici/Computer_Graphics

5ba268e9e75de0d7ad733a503400e52b66edc78b

[ "MIT" ]

null

NumPy_Training/img_histogram_2D.py

jpenrici/Computer_Graphics

5ba268e9e75de0d7ad733a503400e52b66edc78b

[ "MIT" ]

null

NumPy_Training/img_histogram_2D.py

jpenrici/Computer_Graphics

5ba268e9e75de0d7ad733a503400e52b66edc78b

[ "MIT" ]

null

# -*- Mode: Python3; coding: utf-8; indent-tabs-mpythoode: nil; tab-width: 4 -*- import os import numpy as np from matplotlib import pyplot as plt, colors as colors PATH = "../Images/" RED = 0 GREEN = 1 BLUE = 2 def view(data, X, Y, title="2D histogram"): c = ["RED", "GREEN", "BLUE"] dataX = data[:, :, X]...

18.642857

80

0.564176

152

1,044

3.789474

0.513158

0.055556

0.024306

0

0.028497

0.260536

1,044

55

81

18.981818

0.717617

0.095785

0

0.084402

0

1

0.057143

false

0

0.085714

0

0.171429

0.057143

0

null

0

null

0

1

0

9745bee63f21db8a2f15dbf9443e575995c9a601

4,931

py

Python

custom_components/weatherflow/config_flow.py

kocour/hass-weatherflow

4c6d08e7e6468aa008e656b3763d55b6ee2fbb88

[ "MIT" ]

30

2021-11-29T19:09:09.000Z

2022-03-15T01:59:36.000Z

custom_components/weatherflow/config_flow.py

kocour/hass-weatherflow

4c6d08e7e6468aa008e656b3763d55b6ee2fbb88

[ "MIT" ]

31

2021-11-18T09:42:27.000Z

2022-03-28T06:21:30.000Z

custom_components/weatherflow/config_flow.py

kocour/hass-weatherflow

4c6d08e7e6468aa008e656b3763d55b6ee2fbb88

[ "MIT" ]

6

2021-12-05T22:00:00.000Z

2022-02-18T13:31:54.000Z

"""Config Flow to configure WeatherFlow Integration.""" from __future__ import annotations import logging import voluptuous as vol from homeassistant import config_entries from homeassistant.const import CONF_API_TOKEN, CONF_ID from homeassistant.core import callback from homeassistant.helpers.aiohttp_client import a...

32.873333

84

0.601095

508

4,931

5.511811

0.228346

0.032143

0.027857

0.033929

0.381429

0.348929

0.201786

0.135357

0.026429

0

0.004187

0.321841

4,931

149

85

33.09396

0.833134

0.033056

0

0.247863

0

0.015959

0

1

0.017094

false

0

0.08547

0

0.213675

0

null

0

null

0

1

0

9749b44259b93b94209924f8e12c6a9a0ca07292

4,436

py

Python

Model/manifest.py

llmay98/WSI-online-analysis-framework

1f2ee084b7ed87d22f9fbf041a6101c600104bfc

[ "Apache-2.0" ]

2

2020-01-07T04:22:04.000Z

2021-05-06T11:10:15.000Z

Model/manifest.py

llmay98/WSI-online-analysis-framework

1f2ee084b7ed87d22f9fbf041a6101c600104bfc

[ "Apache-2.0" ]

4

2021-06-02T13:19:46.000Z

2022-03-12T00:11:11.000Z

Model/manifest.py

llmay98/WSI-online-analysis-framework

1f2ee084b7ed87d22f9fbf041a6101c600104bfc

[ "Apache-2.0" ]

1

2021-06-03T04:48:00.000Z

import mysql.connector import configparser import os import uuid class Manifest: def __init__(self): config_file = os.getcwd() + '/config.ini' self.config = configparser.ConfigParser() self.config.read(config_file, encoding='utf-8') db = self.db_connect() db.close() de...

32.144928

113

0.578449

548

4,436

4.494526

0.131387

0.053999

0.042225

0.079172

0.660983

0.624442

0.602517

0.511571

0.483963

0

0.003182

0.291479

4,436

137

114

32.379562

0.780465

0

0.596639

0

0.008403

0.148332

0

1

0.117647

false

0.008403

0.033613

0.008403

0.210084

0

null

0

null

0

1

0

974ba423ea4fb5779929e4b07f704b1d42077fa3

678

py

Python

giocomo_lab_to_nwb/conversion_tools/nwb_gui.py

jordanhickman/giocomo-lab-to-nwb

1d0eb0efc2f3b6d881405b08d7bc0232e0cd79d5

[ "BSD-3-Clause" ]

null

giocomo_lab_to_nwb/conversion_tools/nwb_gui.py

jordanhickman/giocomo-lab-to-nwb

1d0eb0efc2f3b6d881405b08d7bc0232e0cd79d5

[ "BSD-3-Clause" ]

4

2019-07-30T00:57:41.000Z

2019-11-03T20:14:03.000Z

giocomo_lab_to_nwb/conversion_tools/nwb_gui.py

ben-dichter-consulting/giocomo-lab-to-nwb

a096cdea15291f77793ca334de1eaaa762685c58

[ "BSD-3-Clause" ]

2

2020-06-12T20:44:11.000Z

2020-08-06T02:02:12.000Z

# Opens the NWB conversion GUI # authors: Luiz Tauffer and Ben Dichter # written for Giocomo Lab # ------------------------------------------------------------------------------ from nwbn_conversion_tools.gui.nwbn_conversion_gui import nwbn_conversion_gui metafile = 'metafile.yml' conversion_module = 'conversion_modul...

29.478261

80

0.653392

74

678

5.743243

0.5

0.129412

0.12

0.117647

0.155294

0

0.120944

678

22

81

30.818182

0.713087

0.269912

0

0.204499

0

1

0

false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

974c1455e15872002bcd7d434f9a4adca9b3db79

6,276

py

Python

tests/cosrlibtests/document/html/test_base.py

commonsearch/cosr-back

28ca0c1b938dde52bf4f59a835c98dd5ab22cad6

[ "Apache-2.0" ]

141

2016-02-17T14:27:57.000Z

2021-12-27T02:56:48.000Z

tests/cosrlibtests/document/html/test_base.py

commonsearch/cosr-back

28ca0c1b938dde52bf4f59a835c98dd5ab22cad6

[ "Apache-2.0" ]

69

2016-02-20T02:06:59.000Z

2017-01-29T22:23:46.000Z

tests/cosrlibtests/document/html/test_base.py

commonsearch/cosr-back

28ca0c1b938dde52bf4f59a835c98dd5ab22cad6

[ "Apache-2.0" ]

38

2016-02-25T04:40:07.000Z

2020-06-11T07:22:44.000Z

from cosrlib.document.html import HTMLDocument def test_get_title(): assert HTMLDocument( """<html><head><title>Test title</title></head><body>x</body></html>""" ).parse().get_title() == "Test title" assert HTMLDocument( """<html><title>Test title</title>XX</html>""" ).parse().get_tit...

40.490323

120

0.6203

872

6,276

4.397936

0.159404

0.08605

0.094915

0.09309

0.709518

0.663103

0.622686

0.576532

0.533246

0.515254

0

0.017773

0.157266

6,276

154

121

40.753247

0.707317

0.037444

0

0.362745

0

0.127451

0.518525

0.117153

0

0.333333

1

0.068627

false

0

0.009804

0

0.078431

0.019608

0

null

0

null

0

1

0

974d884bdfa3addd83d2c9e41abdc6a7827099cf

2,975

py

Python

server/workers/tests/test_helpers.py

chreman/Headstart

5d8b956faac4389c649f3072b5ac55aaa01644c6

[ "MIT" ]

111

2016-12-10T17:27:46.000Z

2022-03-29T02:57:19.000Z

server/workers/tests/test_helpers.py

chreman/Headstart

5d8b956faac4389c649f3072b5ac55aaa01644c6

[ "MIT" ]

338

2016-12-04T17:43:28.000Z

2022-03-04T15:50:33.000Z

server/workers/tests/test_helpers.py

chreman/Headstart

5d8b956faac4389c649f3072b5ac55aaa01644c6

[ "MIT" ]

32

2016-12-19T12:48:00.000Z

2022-02-12T17:47:47.000Z

import os import json import uuid import pathlib import redis import pandas as pd from nltk.corpus import stopwords from tqdm import tqdm from .conftest import RANDOM from ..api.src.apis.utils import get_key # connect via nginx to APIs and submit tests def get_stopwords(lang): try: loc = pathlib.Path(__p...

30.670103

84

0.655798

363

2,975

5.253444

0.319559

0.033036

0.029366

0.015732

0.216046

0.128998

0.109072

0

0.001272

0.207059

2,975

96

85

30.989583

0.807122

0.023529

0

0.126582

0

0.127498

0

0.012658

1

0.063291

false

0

0.126582

0

0.253165

0.037975

0

null

0

null

0

1

0

974e0906f60952202f09db80d093bc5842202e9c

982

py

Python

tests/test_loader.py

vkubyshko/cloud-custodian

e5e3a0f8b5c85adcbec212d780b453047fb6f4d1

[ "Apache-2.0" ]

2,415

2018-12-04T00:37:58.000Z

2022-03-31T12:28:56.000Z

tests/test_loader.py

vkubyshko/cloud-custodian

e5e3a0f8b5c85adcbec212d780b453047fb6f4d1

[ "Apache-2.0" ]

3,272

2018-12-03T23:58:17.000Z

2022-03-31T21:15:32.000Z

tests/test_loader.py

vkubyshko/cloud-custodian

e5e3a0f8b5c85adcbec212d780b453047fb6f4d1

[ "Apache-2.0" ]

773

2018-12-06T09:43:23.000Z

2022-03-30T20:44:43.000Z

# Copyright The Cloud Custodian Authors. # SPDX-License-Identifier: Apache-2.0 from os import path import tempfile from textwrap import dedent from c7n import loader from .common import BaseTest class TestSourceLocator(BaseTest): def test_yaml_file(self): with tempfile.TemporaryDirectory() as tmpdirnam...

31.677419

68

0.5611

100

982

5.49

0.6

0.065574

0.120219

0.142077

0

0.010802

0.340122

982

30

69

32.733333

0.83642

0.075356

0

0.355801

0

0.136364

1

0.045455

false

0

0.227273

0

0.318182

0

null

0

null

0

1

0

974eb9da087e6259717b8a906569a4f8425cdd9a

2,635

py

Python

Sensor_Hat/src/mod_thread.py

carlodones/thread_SenseHat_2

0824a718542b9a42159073190e7498288dc57c3a

[ "Apache-2.0" ]

null

Sensor_Hat/src/mod_thread.py

carlodones/thread_SenseHat_2

0824a718542b9a42159073190e7498288dc57c3a

[ "Apache-2.0" ]

null

Sensor_Hat/src/mod_thread.py

carlodones/thread_SenseHat_2

0824a718542b9a42159073190e7498288dc57c3a

[ "Apache-2.0" ]

1

2018-07-13T08:44:50.000Z

import threading import time import mod_measure_list import mod_sense_hat # Classe per l'avvio dei thread class ThreadManager(threading.Thread): def __init__(self, channel, delay, source, measure_list): threading.Thread.__init__(self) self.channel = channel # Canale di acquisizione ...

35.133333

119

0.554459

294

2,635

4.809524

0.408163

0.077793

0.063649

0.027581

0

0.004608

0.341176

2,635

74

120

35.608108

0.809908

0.62315

0

1

0.157895

false

0

0.210526

0

0.421053

0

null

0

null

0

1

0

975623b461dce10bee7524337b62f5692bc20bae

770

py

Python

136. Single Number(XOR-ed).py

viewv/leetcode

b31e643846bb38978746342e3e3a94991178565a

[ "MIT" ]

2

2018-02-26T09:12:19.000Z

2019-06-07T13:38:10.000Z

136. Single Number(XOR-ed).py

viewv/leetcode

b31e643846bb38978746342e3e3a94991178565a

[ "MIT" ]

1

2018-12-24T07:03:34.000Z

136. Single Number(XOR-ed).py

viewv/leetcode

b31e643846bb38978746342e3e3a94991178565a

[ "MIT" ]

2

2018-12-24T07:01:03.000Z

2019-06-07T13:38:07.000Z

# copy from Leetcode, really a good way! class Solution: def singleNumber(self, nums): # using XOR method single_num = 0 for n in nums: single_num ^= n return single_num ''' if two number is different like 1010 and 1010 1010 xor 1010 = 0 so when a group of number ...

32.083333

55

0.658442

136

770

3.691176

0.522059

0.10757

0.039841

0.015936

0

0.067273

0.285714

770

23

56

33.478261

0.845455

0.071429

0

1

0.166667

false

0

0.5

0

null

0

null

0

1

0

975aceff3bfddebb1d1b1672bcd24556fb99e1af

630

py

Python

galaxy_selenium/__init__.py

jmchilton/galaxy-selenium

fa1c4d0d71001399efc54ae432aea04947c47df1

[ "CC-BY-3.0" ]

null

galaxy_selenium/__init__.py

jmchilton/galaxy-selenium

fa1c4d0d71001399efc54ae432aea04947c47df1

[ "CC-BY-3.0" ]

null

galaxy_selenium/__init__.py

jmchilton/galaxy-selenium

fa1c4d0d71001399efc54ae432aea04947c47df1

[ "CC-BY-3.0" ]

null

"""Top-level of library designed to ease use of Selenium targetting Galaxy. galaxy_selenium is purposes being designed to depend on Python selenium, six, pyyaml, and optional pyvirtualdisplay but not galaxy-lib (or any of Galaxy or Galaxy's test stuff) currently. """ __version__ = '17.9.0.dev0' PROJECT_NAME = "galax...

35

79

0.773016

89

630

5.303371

0.595506

0.088983

0

0.009042

0.122222

630

17

80

37.058824

0.844485

0.414286

0

0.469613

0

1

0

false

0

null

0

null

0

1

0

975cf0d24d9f18d9395f61092ba84bd2deba8dbb

1,570

py

Python

src/regression_handler.py

bruggerl/gdp-height

e14e9ab737b1f04f3a0c3fff271f0dfe6831c25d

[ "MIT" ]

null

src/regression_handler.py

bruggerl/gdp-height

e14e9ab737b1f04f3a0c3fff271f0dfe6831c25d

[ "MIT" ]

null

src/regression_handler.py

bruggerl/gdp-height

e14e9ab737b1f04f3a0c3fff271f0dfe6831c25d

[ "MIT" ]

null

import matplotlib.pyplot as plt from sklearn.linear_model import LinearRegression import constants as c class RegressionHandler: """ This class encapsulates the logic for calculating and plotting a linear regression. """ @staticmethod def plot_regression(dataframe, sex=c.Sex.MALE): """ ...

40.25641

132

0.663057

219

1,570

4.694064

0.506849

0.046693

0.033074

0.021401

0

0.010897

0.240127

1,570

38

133

41.315789

0.850796

0.383439

0

0.104444

0.024444

0

1

0.05

false

0

0.15

0

0.25

0

null

0

null

0

1

0

975e0b8ba97e0a156a85f8001f92c9651a62a699

561

py

Python

server/utils/load_utils.py

caiodeberaldini/intelligent-systems-project

f97d480a7e51c76b0d6335d4ae8d5e6451321fb0

[ "MIT" ]

null

server/utils/load_utils.py

caiodeberaldini/intelligent-systems-project

f97d480a7e51c76b0d6335d4ae8d5e6451321fb0

[ "MIT" ]

null

server/utils/load_utils.py

caiodeberaldini/intelligent-systems-project

f97d480a7e51c76b0d6335d4ae8d5e6451321fb0

[ "MIT" ]

null

import os import sys import pickle from dotenv import load_dotenv _ = load_dotenv() def load_utils(): MODEL_PATH = os.getenv("MODEL_PATH") VECTORIZER_PATH = os.getenv("VECTORIZER_PATH") LABEL_ENC_PATH = os.getenv("LABEL_ENC_PATH") with open(MODEL_PATH, 'rb') as f: model = pickle.load(f) ...

19.344828

50

0.627451

80

561

4.2

0.2875

0.080357

0.107143

0.080357

0.199405

0.14881

0

0.253119

561

28

51

20.035714

0.801909

0

0.157895

0

0.080214

0

1

0.052632

false

0

0.210526

0

0.315789

0

null

0

null

0

1

0

9760ac4b7c9df5edcac3c9facafdb4273c11312d

1,297

py

Python

server.py

kiduyu-klaus/k-books

1909100aa03e14d5f60e6bc4500b6226a3ce2552

[ "MIT" ]

2

2019-08-21T08:35:57.000Z

2021-07-03T19:35:58.000Z

server.py

kiduyu-klaus/k-books

1909100aa03e14d5f60e6bc4500b6226a3ce2552

[ "MIT" ]

1

2019-08-21T08:42:24.000Z

server.py

kiduyu-klaus/k-books

1909100aa03e14d5f60e6bc4500b6226a3ce2552

[ "MIT" ]

null

import telegram import tornado.ioloop import tornado.web from tornado.options import define, options from settings import WEBHOOK_URL, TELEGRAM_ACCESS_TOKEN from core import bot_handler define("port", default=5000, help="run on the given port", type=int) class IndexHandler(tornado.web.RequestHandler): def get(s...

25.94

68

0.683115

161

1,297

5.36646

0.459627

0.05787

0.083333

0.09375

0.157407

0.118056

0

0.006803

0.206631

1,297

49

69

26.469388

0.832847

0.017733

0

0.142857

0

0.102987

0

1

0.142857

false

0

0.171429

0.028571

0.514286

0

null

0

null

0

1

0

9764e3ad21b80a26ed1998bb62b14b203c54a3ac

516

py

Python

utility/i2cutil.py

zjcers/ecohawks-battery

dd214584fc141aca64702d1093f218a3238ab22a

[ "MIT" ]

2

2016-11-16T05:53:03.000Z

2017-09-27T15:12:20.000Z

utility/i2cutil.py

zjcers/ecohawks-battery

dd214584fc141aca64702d1093f218a3238ab22a

[ "MIT" ]

2

2016-04-29T01:38:30.000Z

2016-09-21T15:41:20.000Z

utility/i2cutil.py

zjcers/ecohawks-battery

dd214584fc141aca64702d1093f218a3238ab22a

[ "MIT" ]

null

#!/usr/bin/python #Original Author: Zane J Cersovsky #Original Date: Mar 6 2016 #Last Modified By: Zane J Cersovsky #Last Modified On: Mar 7 2016 import bitstring def reverse_word(word): r""" Takes in a int and reverse its bytes """ assert type(word) == int assert word >= 0 and word < 65536 msb = word >> 8 lsb =...

23.454545

66

0.70155

84

516

4.297619

0.630952

0.027701

0.077562

0

0.057279

0.187985

516

21

67

24.571429

0.804296

0.463178

0

0.166667

1

0.166667

false

0

0.083333

0

0.416667

0

null

0

null

0

1

0

9765225a4e13a87c2f5b956717cfeffe36f729ff

6,454

py

Python

certbot_azure/dns_azure_test.py

vladwing/certbot-azure

85e0da499d313431bcd47ae39e0e4c88bf2c2561

[ "MIT" ]

24

2019-01-17T20:32:02.000Z

2021-07-06T15:34:55.000Z

certbot_azure/dns_azure_test.py

vladwing/certbot-azure

85e0da499d313431bcd47ae39e0e4c88bf2c2561

[ "MIT" ]

5

2020-04-27T19:55:45.000Z

2021-12-03T10:26:15.000Z

certbot_azure/dns_azure_test.py

vladwing/certbot-azure

85e0da499d313431bcd47ae39e0e4c88bf2c2561

[ "MIT" ]

11

2020-10-28T16:02:26.000Z

2021-10-17T20:46:09.000Z

"""Tests for certbot_azure.authenticator.""" import os import unittest import mock import json from certbot import errors from certbot.plugins import dns_test_common_lexicon from certbot.plugins.dns_test_common import DOMAIN from certbot.tests import util as test_util from requests import Response from msrestazure....

37.964706

95

0.627053

685

6,454

5.618978

0.214599

0.051442

0.066251

0.072746

0.54014

0.464536

0.44583

0.394128

0.372304

0

0.00367

0.282306

6,454

169

96

38.189349

0.827288

0.078091

0

0.275229

0

0.082714

0.021438

0

0.082569

1

0.100917

false

0

0.110092

0

0.293578

0

null

0

null

0

1

0

97688b09bfb61fdf6e74155a50fefad44a0d8884

306

py

Python

Python/Introduction/Python Print/solution.py

aesavas/HackerRank

c1ffecc92e3e3db923f94594b9115f650dc2983a

[ "MIT" ]

null

Python/Introduction/Python Print/solution.py

aesavas/HackerRank

c1ffecc92e3e3db923f94594b9115f650dc2983a

[ "MIT" ]

null

Python/Introduction/Python Print/solution.py

aesavas/HackerRank

c1ffecc92e3e3db923f94594b9115f650dc2983a

[ "MIT" ]

null

""" author : Ali Emre SAVAS Link : https://www.hackerrank.com/challenges/python-print/problem """ if __name__ == '__main__': n = int(input()) number = "" # n+1 -> Because in range function, n+1 is not in the range. for i in range(1, n+1): number += str(i) print(number)

25.5

69

0.588235

45

306

3.822222

0.688889

0.034884

0

0.017544

0.254902

306

11

70

27.818182

0.736842

0.486928

0

0.056738

0

1

0

false

0

0.166667

0

null

0

null

0

1

0

976907f333c9c096d9fd70e01fdfc99447224539

2,532

py

Python

YatzyPy/data.py

markomanninen/YatzyPy

a6904b22473ae909f588e3b82a67b8b4f2dce0f2

[ "MIT" ]

null

YatzyPy/data.py

markomanninen/YatzyPy

a6904b22473ae909f588e3b82a67b8b4f2dce0f2

[ "MIT" ]

null

YatzyPy/data.py

markomanninen/YatzyPy

a6904b22473ae909f588e3b82a67b8b4f2dce0f2

[ "MIT" ]

null

# data.py import numpy as np from itertools import product, combinations from . func import * from . const import * # totally 31 hold options in two dimentional array all_hold_options = np.array([list(combinations([0,1,2,3,4], r=repeat)) for repeat in range(1, 6)]) # plus one empty option, makes it 32 options all_hol...

45.214286

148

0.639021

338

2,532

4.745562

0.35503

0.013716

0.061721

0.026185

0.073566

0.043641

0.027431

0

0.032756

0.156003

2,532

55

149

46.036364

0.717829

0.078594

0

0.215054

0.009892

0

1

0

false

0

0.111111

0

0.111111

0

null

0

null

0

1

0

97691d01b0dc17a421afe81d680dd368bc4cb43f

2,841

py

Python

17_logging_and_monitoring/start_17_blue_yellow_app_monitoring/blue_yellow_app/services/albums_service.py

g2gcio/course-demo

b0d00a6ac7a6a6a17af963cee67cf13dc5941e95

[ "MIT" ]

276

2016-04-04T20:57:36.000Z

2022-03-12T02:42:46.000Z

17_logging_and_monitoring/start_17_blue_yellow_app_monitoring/blue_yellow_app/services/albums_service.py

g2gcio/course-demo

b0d00a6ac7a6a6a17af963cee67cf13dc5941e95

[ "MIT" ]

37

2016-10-13T12:04:27.000Z

2020-11-22T10:36:53.000Z

17_logging_and_monitoring/start_17_blue_yellow_app_monitoring/blue_yellow_app/services/albums_service.py

g2gcio/course-demo

b0d00a6ac7a6a6a17af963cee67cf13dc5941e95

[ "MIT" ]

163

2016-10-03T02:10:00.000Z

2022-03-25T03:43:01.000Z

from sqlalchemy.orm import joinedload from blue_yellow_app.data.album import Album from blue_yellow_app.data.dbsession import DbSessionFactory from blue_yellow_app.data.track import Track class AlbumsService: @staticmethod def get_albums(): session = DbSessionFactory.create_session() albums ...

35.962025

89

0.515312

291

2,841

4.924399

0.43299

0.016748

0.029309

0.03559

0.074669

0

0.025974

0.349525

2,841

78

90

36.423077

0.749459

0

0.169231

0

0.23548

0.033791

0

1

0.061538

false

0

0.061538

0.015385

0.2

0

null

0

null

0

1

0

976fcbf14dd7896daf4f8d49416555bf79ddb30f

1,250

py

Python

utils/distance_functions.py

inesnolas/Rank-based-loss_ICASSP22

3ebe7345dc26b8fa74543725a51b43b7170c58cc

[ "MIT" ]

null

utils/distance_functions.py

inesnolas/Rank-based-loss_ICASSP22

3ebe7345dc26b8fa74543725a51b43b7170c58cc

[ "MIT" ]

1

2022-03-10T04:08:49.000Z

utils/distance_functions.py

inesnolas/Rank-based-loss_ICASSP22

3ebe7345dc26b8fa74543725a51b43b7170c58cc

[ "MIT" ]

null

import torch def compute_pairwise_cosine_distances(minibatch_embeddings, full_matrix=False): # cosine_distance = 1 - cosine_similarity # cosine similarity (A,B)= cos(theta) = (A . B ) / (||A||*||B||) , # constrainining embeddings into a hypersphere (unit-sphere) so all norms are 1 reduces this to a matr...

39.0625

129

0.7008

185

1,250

4.497297

0.389189

0.182692

0.086538

0.036058

0.252404

0.185096

0.096154

0

0.021718

0.1896

1,250

31

130

40.322581

0.799605

0.252

0

0.3

0

1

0.1

false

0

0.05

0

0.35

0

null

0

null

0

1

0

97719823db82abe3944497ea3132f94495350607

14,309

py

Python

python/model.py

jakelong0509/Song_Detector

57ac4b206b985f2c9e40423a9f79deacbc88f64e

[ "MIT" ]

3

2018-11-09T17:56:58.000Z

2019-05-15T19:43:58.000Z

python/model.py

jakelong0509/Song_Detector

57ac4b206b985f2c9e40423a9f79deacbc88f64e

[ "MIT" ]

1

2018-11-09T17:45:12.000Z

2018-11-09T23:12:21.000Z

python/model.py

jakelong0509/Song_Detector

57ac4b206b985f2c9e40423a9f79deacbc88f64e

[ "MIT" ]

null

import numpy as np import os import sys import progressbar import gc import pickle import matplotlib.pyplot as plt from LSTM import LSTM from wrapper import Bidirectional from Regularization import regularization from attention_model import attention_model from data_preprocessing import song_preprocessing from function...

42.20944

137

0.624991

2,027

14,309

4.118895

0.111001

0.019164

0.019404

0.018685

0.498143

0.419571

0.385196

0.358007

0.318002

0.303509

0

0.011368

0.262282

14,309

338

138

42.33432

0.779557

0.077504

0

0.217213

0

0.028082

0.009641

0

0.005917

0.012295

1

0.032787

false

0

0.057377

0

0.102459

0.036885

0

null

0

null

0

1

0

97742d434f756859171175e1ee026361918f8086

3,151

py

Python

blueprints/portfolio/build.py

andrenasturas/hausse

58e7cb71d5105cf1d6ec7d294e85668855bf8336

[ "MIT" ]

null

blueprints/portfolio/build.py

andrenasturas/hausse

58e7cb71d5105cf1d6ec7d294e85668855bf8336

[ "MIT" ]

1

2021-08-30T21:41:46.000Z

blueprints/portfolio/build.py

andrenasturas/hausse

58e7cb71d5105cf1d6ec7d294e85668855bf8336

[ "MIT" ]

1

2021-08-31T19:27:32.000Z

from hausse import Hausse from hausse.plugins import ( Assets, DiscoverPartials, Drop, Handlebars, Markdown, MetadataMarkdown, Relations, Collection, Collections ) # Collections preparations # By default, all files in "src/formations" folder will be grouped in this collection Links...

41.460526

96

0.70676

418

3,151

5.325359

0.435407

0.020216

0.016173

0

0.228499

3,151

76

97

41.460526

0.915673

0.701999

0

0.106828

0

1

0

false

0

0.058824

0

0.058824

0

null

0

null

0

1

0

977547a86441dd2f34137210aaba3cb7c65a05a6

716

py

Python

yahoo_fin/ex01.py

stormabq/python-examples

1c1acfc3863a2cf1a9e202c9299f3a526858eb34

[ "MIT" ]

1

2021-12-12T04:39:53.000Z

yahoo_fin/ex01.py

stormabq/python-examples

1c1acfc3863a2cf1a9e202c9299f3a526858eb34

[ "MIT" ]

null

yahoo_fin/ex01.py

stormabq/python-examples

1c1acfc3863a2cf1a9e202c9299f3a526858eb34

[ "MIT" ]

6

2020-05-05T17:21:28.000Z

2021-12-12T04:39:57.000Z

from yahoo_fin.stock_info import ( get_data, tickers_sp500, tickers_nasdaq, tickers_other, get_quote_table, ) """ pull historical data for Netflix (NFLX) """ # nflx = get_data("NFLX") """ pull data for Apple (AAPL) """ """case sensitivity does not matter""" # aapl = get_data("aapl") """ get list ...

24.689655

61

0.698324

102

716

4.686275

0.460784

0.043933

0.062762

0.050209

0.112971

0

0.025467

0.177374

716

28

62

25.571429

0.786078

0.206704

0

1

0

false

0

0.111111

0

0.111111

0

null

0

null

0

1

0

97777e3bdfdec7925db3bd47283e2b2cd170c9f4

3,657

py

Python

arenarobot/video_call/__init__.py

DaAwesomeP/ARENA-robot

ff771c4f5f587fda1bcc79ae165301129a6b1458

[ "BSD-3-Clause" ]

null

arenarobot/video_call/__init__.py

DaAwesomeP/ARENA-robot

ff771c4f5f587fda1bcc79ae165301129a6b1458

[ "BSD-3-Clause" ]

null

arenarobot/video_call/__init__.py

DaAwesomeP/ARENA-robot

ff771c4f5f587fda1bcc79ae165301129a6b1458

[ "BSD-3-Clause" ]

null

""" __init__.py: Definitions for the video call client. Created by Perry Naseck on 7/1/21. Copyright (c) 2021, The CONIX Research Center All rights reserved. This source code is licensed under the BSD-3-Clause license found in the LICENSE file in the root directory of this source tree. """ # Some code originally fr...

33.861111

126

0.654361

441

3,657

5.29932

0.387755

0.056483

0.034232

0.04279

0.159178

0.141207

0.10184

0.065896

0.039367

0

0.021544

0.238447

3,657

107

127

34.17757

0.817594

0.275089

0

0.192982

0

0.144768

0.098348

0

1

0.175439

false

0

0.105263

0

0.350877

0.035088

0

null

0

null

0

1

0

97793cb16f646ed93a1d2a99e624885f86ec02c8

2,006

py

Python

ADEC7430 Big Data Econometrics/Midterm1/PyCode/_Functions/34_RidgeLassoEN.py

sherrytp/bc_f19_econ

0d393e54441fd38faba275bb3e718704fbd18d0d

[ "Apache-2.0" ]

null

ADEC7430 Big Data Econometrics/Midterm1/PyCode/_Functions/34_RidgeLassoEN.py

sherrytp/bc_f19_econ

0d393e54441fd38faba275bb3e718704fbd18d0d

[ "Apache-2.0" ]

null

ADEC7430 Big Data Econometrics/Midterm1/PyCode/_Functions/34_RidgeLassoEN.py

sherrytp/bc_f19_econ

0d393e54441fd38faba275bb3e718704fbd18d0d

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Feb 23 00:14:38 2019 @author: RV Purpose: use Ridge, Lasso and Elastic Net models on Titanic data """ #%% Lasso from sklearn.linear_model import Lasso useAlpha = 0.00001 lasso_1 = Lasso(alpha = useAlpha).fit(X, y) print(lasso_1.coef_) # OK, got the coefficie...

27.108108

99

0.70339

345

2,006

3.907246

0.324638

0.028932

0.067507

0.040801

0.433976

0.367211

0.227003

0

0.051693

0.161017

2,006

73

100

27.479452

0.749257

0.197408

0

0.230769

0

0.01581

0

1

0

false

0

0.128205

0

0.128205

0.025641

0

null

0

null

0

1

0

977b336843e723764b4e53b212ee10afac5dc75c

5,340

py

Python

pyperformance/_pythoninfo.py

oraluben/pyperformance

74acfa5fbf801ce79fdadc9e92355c99460e91e4

[ "MIT" ]

255

2016-08-27T05:38:56.000Z

2019-05-27T16:15:38.000Z

pyperformance/_pythoninfo.py

oraluben/pyperformance

74acfa5fbf801ce79fdadc9e92355c99460e91e4

[ "MIT" ]

43

2016-08-30T15:22:01.000Z

2019-05-24T10:59:54.000Z

pyperformance/_pythoninfo.py

oraluben/pyperformance

74acfa5fbf801ce79fdadc9e92355c99460e91e4

[ "MIT" ]

55

2016-08-30T15:19:45.000Z

2019-05-20T12:41:02.000Z

# A utility library for getting information about a Python executable. # # This may be used as a script. import importlib.util import json import os import os.path import sys import sysconfig INFO = { # sys 'executable (sys)': 'sys.executable', 'executable (sys;realpath)': 'executable_realpath', 'pre...

33.584906

81

0.618352

630

5,340

5.02381

0.253968

0.049289

0.030332

0.020221

0.289731

0.252449

0.2

0

0.001004

0.25412

5,340

158

82

33.797468

0.793623

0.131273

0

0.070796

0

0.286623

0.035526

0

1

0.044248

false

0

0.070796

0

0.159292

0.00885

0

null

0

null

0

1

0

977f46612fc386542c357d0fedcedfdd08752149

592

py

Python

alembic/versions/6d2dd11ac2fb_20190307204236_tokens_table.py

pchudzik/tweet

1938dae6be1359d73a8140b994c3db39d2b336da

[ "MIT" ]

null

alembic/versions/6d2dd11ac2fb_20190307204236_tokens_table.py

pchudzik/tweet

1938dae6be1359d73a8140b994c3db39d2b336da

[ "MIT" ]

null

alembic/versions/6d2dd11ac2fb_20190307204236_tokens_table.py

pchudzik/tweet

1938dae6be1359d73a8140b994c3db39d2b336da

[ "MIT" ]

null

"""tokens table Revision ID: 6d2dd11ac2fb Revises: 908de7ed5813 Create Date: 2019-03-07 20:42:36.328479 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '6d2dd11ac2fb' down_revision = '908de7ed5813' branch_labels = None depends_on = None def upgrade(): op....

19.733333

69

0.697635

76

592

5.315789

0.631579

0.039604

0.074257

0.10396

0

0.100823

0.179054

592

29

70

20.413793

0.730453

0.238176

0

0.151242

0

1

0.133333

false

0

0.133333

0

0.266667

0

null

0

null

0

1

0

97817fb679923c526b028329f844109b22f3d6ae

1,655

py

Python

pineboolib/fllegacy/FLSettings.py

Miguel-J/pineboo-buscar

41a2f3ee0425d163619b78f32544c4b4661d5fa7

[ "MIT" ]

null

pineboolib/fllegacy/FLSettings.py

Miguel-J/pineboo-buscar

41a2f3ee0425d163619b78f32544c4b4661d5fa7

[ "MIT" ]

null

pineboolib/fllegacy/FLSettings.py

Miguel-J/pineboo-buscar

41a2f3ee0425d163619b78f32544c4b4661d5fa7

[ "MIT" ]

null

# -*- coding: utf-8 -*- from PyQt5 import QtCore from pineboolib.flcontrols import ProjectClass from pineboolib import decorators class FLSettings(ProjectClass): s = QtCore.QSettings(QtCore.QSettings.NativeFormat, QtCore.QSettings.UserScope, "Eneboo", "Pineboo") @decorators.BetaIm...

26.269841

73

0.569184

190

1,655

4.9

0.294737

0.042965

0.069817

0.281418

0.24275

0.219119

0.163265

0.092374

0

0.003518

0.312991

1,655

62

74

26.693548

0.815303

0.100906

0

0.390244

0

0.013504

0

1

0.170732

false

0

0.073171

0

0.414634

0

null

0

null

0

1

0

97818d041346c51355d6a36de188f9622c855abf

35,874

py

Python

kernel/tracker/tracking.py

rinceyuan/WeFe

8482cb737cb7ba37b2856d184cd42c1bd35a6318

[ "Apache-2.0" ]

39

2021-10-12T01:43:27.000Z

2022-03-28T04:46:35.000Z

kernel/tracker/tracking.py

rinceyuan/WeFe

8482cb737cb7ba37b2856d184cd42c1bd35a6318

[ "Apache-2.0" ]

6

2021-10-14T02:11:47.000Z

2022-03-23T02:41:50.000Z

kernel/tracker/tracking.py

rinceyuan/WeFe

8482cb737cb7ba37b2856d184cd42c1bd35a6318

[ "Apache-2.0" ]

10

2021-10-14T09:36:03.000Z

2022-02-10T11:05:12.000Z

# -*- coding: utf-8 -*- # Copyright 2021 Tianmian Tech. 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 ...

37.682773

135

0.616073

4,290

35,874

4.81958

0.101865

0.036564

0.010012

0.010447

0.424792

0.322306

0.260495

0.209857

0.192155

0.176098

0

0.004563

0.297458

35,874

951

136

37.722397

0.815816

0.0904

0

0.234811

0

0.043235

0.006773

0

1

0.062397

false

0

0.049261

0.006568

0.183908

0.004926

0

null

0

null

0

1

0