xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

f5553f600d9e51ffdced6978931c7ede4d5b363d

7,458

py

Python

src/extract_features.py

AymericBebert/MusicLearning

8fbc931330029baa8ae9cfcfa20c79e41b5eca8f

[ "MIT" ]

null

src/extract_features.py

AymericBebert/MusicLearning

8fbc931330029baa8ae9cfcfa20c79e41b5eca8f

[ "MIT" ]

null

src/extract_features.py

AymericBebert/MusicLearning

8fbc931330029baa8ae9cfcfa20c79e41b5eca8f

[ "MIT" ]

null

#!/usr/bin/env python3 # -*-coding:utf-8-*- """ This module is used to extract features from the data """ import numpy as np from scipy.fftpack import fft from scipy.fftpack.realtransforms import dct import python_speech_features eps = 0.00000001 def file_length(soundParams): """Returns the file length, in sec...

34.850467

121

0.616519

972

7,458

4.659465

0.248971

0.022963

0.018547

0.021197

0.210863

0.163612

0.121881

0.093619

0.071097

0.048134

0

0.027274

0.252749

7,458

213

122

35.014085

0.785394

0.349021

0

0.018519

0

0.015241

0

1

0.111111

false

0

0.037037

0

0.268519

0

null

0

null

0

1

0

f558d1166458b00b259c7deac962e45e929e8c73

255

py

Python

src/gme/estimate/__init__.py

USITC-Gravity-Group/GME

640e1cd6a571e6802a62b5fdcb00544f3b8c0b32

[ "CC0-1.0" ]

10

2018-10-17T18:50:08.000Z

2021-11-05T22:27:45.000Z

src/gme/estimate/__init__.py

USITC-Gravity-Group/GME

640e1cd6a571e6802a62b5fdcb00544f3b8c0b32

[ "CC0-1.0" ]

7

2020-06-03T20:04:10.000Z

2021-03-31T13:59:01.000Z

src/gme/estimate/__init__.py

USITC-Gravity-Group/GME

640e1cd6a571e6802a62b5fdcb00544f3b8c0b32

[ "CC0-1.0" ]

6

2020-05-12T12:43:55.000Z

2022-02-25T08:47:17.000Z

from .combine_sector_results import * from .DiagnosticsLog import * from .EstimationModel import * from .format_regression_table import * from .save_and_load import * from .SlimResults import * from .Specification import * from .visualize_results import *

31.875

38

0.815686

31

255

6.483871

0.516129

0.348259

0

0.121569

255

8

39

31.875

0.897321

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

f5592d87345b5a481da2afaed4ea4665c57dc09d

2,435

py

Python

tools/blender/io_export_curve.py

waskosky/patches

f80a33eb6fd029b905aca55894ec7a7526b89042

[ "MIT" ]

187

2015-09-21T15:08:57.000Z

2017-07-31T08:01:22.000Z

tools/blender/io_export_curve.py

waskosky/patches

f80a33eb6fd029b905aca55894ec7a7526b89042

[ "MIT" ]

1,533

2015-09-15T23:49:33.000Z

2017-08-01T08:52:00.000Z

tools/blender/io_export_curve.py

waskosky/patches

f80a33eb6fd029b905aca55894ec7a7526b89042

[ "MIT" ]

52

2015-10-11T10:42:50.000Z

2017-07-16T22:31:42.000Z

# Part of the Engi-WebGL suite. from bpy.props import * from bpy_extras.io_utils import ExportHelper from mathutils import * from functools import reduce import os, sys, os.path, bpy, bmesh, math, struct, base64, itertools bl_info = { 'name': 'Curve Export (.json)', 'author': 'Lasse Nielsen', 'version': (0, 2), '...

24.59596

85

0.657906

334

2,435

4.664671

0.416168

0.023107

0.048139

0.057766

0.089859

0.05905

0

0.009425

0.172074

2,435

98

86

24.846939

0.763393

0.085832

0

0.060606

0

0.17027

0

1

0.090909

false

0

0.090909

0.015152

0.378788

0.015152

0

null

0

null

0

1

0

f5599fb599f6ac244f63777232a27937cf321454

2,678

py

Python

organize/filters/mimetype.py

tank0226/organize

d5595a52f06ea6c805fe421dcc2429a3ccd03b09

[ "MIT" ]

1,231

2018-01-13T17:06:24.000Z

2022-03-31T22:14:36.000Z

organize/filters/mimetype.py

tank0226/organize

d5595a52f06ea6c805fe421dcc2429a3ccd03b09

[ "MIT" ]

170

2018-03-13T19:15:17.000Z

2022-03-31T10:14:15.000Z

organize/filters/mimetype.py

tank0226/organize

d5595a52f06ea6c805fe421dcc2429a3ccd03b09

[ "MIT" ]

86

2018-03-14T02:12:49.000Z

2022-03-27T00:16:07.000Z

import mimetypes from pathlib import Path from organize.utils import DotDict, flatten from .filter import Filter class MimeType(Filter): """ Filter by MIME type associated with the file extension. Supports a single string or list of MIME type strings as argument. The types don't need to be fully s...

26.514851

125

0.5295

278

2,678

5.05036

0.399281

0.032051

0.046296

0.05698

0.166667

0.136752

0

0.000599

0.3764

2,678

100

126

26.78

0.84012

0.592233

0

0.024581

0

1

0.2

false

0

0.16

0.04

0.68

0

null

0

null

0

1

0

1

f55a03a501c8713245dc76b3760e3ffdd100d23e

1,857

py

Python

third_party/conan/recipes/libprotobuf-mutator/conanfile.py

tufeigunchu/orbit

407354cf7c9159ff7e3177c603a6850b95509e3a

[ "BSD-2-Clause" ]

1,847

2020-03-24T19:01:42.000Z

2022-03-31T13:18:57.000Z

third_party/conan/recipes/libprotobuf-mutator/conanfile.py

tufeigunchu/orbit

407354cf7c9159ff7e3177c603a6850b95509e3a

[ "BSD-2-Clause" ]

1,100

2020-03-24T19:41:13.000Z

2022-03-31T14:27:09.000Z

third_party/conan/recipes/libprotobuf-mutator/conanfile.py

tufeigunchu/orbit

407354cf7c9159ff7e3177c603a6850b95509e3a

[ "BSD-2-Clause" ]

228

2020-03-25T05:32:08.000Z

2022-03-31T11:27:39.000Z

from conans import ConanFile, CMake, tools class LibprotobufMutatorConan(ConanFile): name = "libprotobuf-mutator" version = "20200506" license = "Apache-2.0" settings = "os", "compiler", "build_type", "arch" generators = "cmake" exports_sources = "patches/*", build_requires = "protoc_insta...

36.411765

82

0.622509

221

1,857

5.081448

0.411765

0.066785

0.067676

0.061443

0.186109

0.106857

0.048085

0

0.016563

0.219709

1,857

50

83

37.14

0.758454

0

0.217555

0.084006

0

1

0.142857

false

0

0.02381

0

0.428571

0

null

0

null

0

1

0

f55c8c9f40e1cf4319ff4ee1c9422d7c3883f725

524

py

Python

animation/common.py

codyly/locomotion-by-mann

89139466829ef7802bf645f865e335d4cda444e4

[ "MIT" ]

null

animation/common.py

codyly/locomotion-by-mann

89139466829ef7802bf645f865e335d4cda444e4

[ "MIT" ]

null

animation/common.py

codyly/locomotion-by-mann

89139466829ef7802bf645f865e335d4cda444e4

[ "MIT" ]

null

import numpy as np VEC_FORWARD = np.array([0, 0, 1]) VEC_UP = np.array([0, 1, 0]) VEC_RIGHT = np.array([1, 0, 0]) STYLE_NOMOVE = np.array([1, 0, 0, 0, 0, 0]) STYLE_TROT = np.array([0, 1, 0, 0, 0, 0]) STYLE_JUMP = np.array([0, 0, 1, 0, 0, 0]) STYLE_SIT = np.array([0, 0, 0, 1, 0, 0]) STYLE_STAND = np.array([0...

23.818182

54

0.593511

106

524

2.792453

0.311321

0.148649

0.121622

0.081081

0.398649

0.074324

0

0.118644

0.211832

524

21

55

24.952381

0.598063

0

0.06163

0

1

0

false

0

0.066667

0

0.066667

0

null

0

null

0

1

0

f55da49181d53035411252526f6236de7beb9882

2,222

py

Python

codes3d/build_gene_index.py

Genome3d/codes3d-v1

fe4897cb07bd8b2c10cfc29defe8570d447b69e0

[ "MIT" ]

null

codes3d/build_gene_index.py

Genome3d/codes3d-v1

fe4897cb07bd8b2c10cfc29defe8570d447b69e0

[ "MIT" ]

4

2018-10-25T02:09:37.000Z

2019-06-27T20:50:27.000Z

codes3d/build_gene_index.py

Genome3d/codes3d-v1

fe4897cb07bd8b2c10cfc29defe8570d447b69e0

[ "MIT" ]

null

#!/usr/bin/python import argparse,codes3d,configparser, os if __name__ == "__main__": parser = argparse.ArgumentParser(description="Create a BED file detailing the locations of genes in the genome, and a database containing additional gene information. Note: If a file in .gtf format is supplied, no other arguments ...

96.608696

246

0.756976

354

2,222

4.610169

0.322034

0.055147

0.104167

0.042892

0.357843

0.291667

0.194853

0.148284

0

0.002506

0.10216

2,222

22

247

101

0.815539

0.007201

0

0.294118

0.595918

0

1

0

false

0

0.058824

0

0.058824

0

null

0

1

0

1

0

null

0

2

f55e3e29a41fea6104e2a766525f7a160ac34c13

5,900

py

Python

Kinematic/forward.py

DDDong2666/tum-adlr-ws20-02

2e439886e0287777589cd276d614fd03bea4ed0c

[ "MIT" ]

null

Kinematic/forward.py

DDDong2666/tum-adlr-ws20-02

2e439886e0287777589cd276d614fd03bea4ed0c

[ "MIT" ]

null

Kinematic/forward.py

DDDong2666/tum-adlr-ws20-02

2e439886e0287777589cd276d614fd03bea4ed0c

[ "MIT" ]

null

import numpy as np from Optimizer.path import get_x_substeps from Kinematic import frames, chain as kc def initialize_frames(shape, robot, mode='hm'): return frames.initialize_frames(shape=shape + (robot.n_frames,), n_dim=robot.n_dim, mode=mode) def initialize_frames_jac(shape, robot, mode='hm'): f = initi...

33.908046

132

0.597119

919

5,900

3.545158

0.162133

0.039288

0.01504

0.014733

0.499079

0.40884

0.372621

0.305095

0.26949

0.232044

0

0.021622

0.247458

5,900

173

133

34.104046

0.712162

0.134068

0

0.141304

0

0.001596

0

1

0.184783

false

0

0.032609

0.054348

0.402174

0

null

0

null

0

1

0

f560897ff46b99cf1a7890d1251f2fa26c8a2e3a

977

py

Python

dnslookup.py

r1nzler/dnslookup

74613614b694602244582bfd555ffd8a5dea8bff

[ "MIT" ]

null

dnslookup.py

r1nzler/dnslookup

74613614b694602244582bfd555ffd8a5dea8bff

[ "MIT" ]

null

dnslookup.py

r1nzler/dnslookup

74613614b694602244582bfd555ffd8a5dea8bff

[ "MIT" ]

null

import dns.resolver import dns.ipv4 import argparse parser = argparse.ArgumentParser() parser.add_argument('-l', "--list", help="List of dns names you want IP's for") parser.add_argument('-o', "--output", help="Output file to save list") args = parser.parse_args() ip_list = [...] subs = open(args.list, 'r', newline='...

27.914286

79

0.518936

126

977

3.968254

0.452381

0.048

0.078

0

0.003096

0.338792

977

34

80

28.735294

0.770898

0.0348

0

0.105319

0

1

0

false

0

0.107143

0

0.107143

0.035714

0

null

0

null

0

1

0

f5609c24bd958aa1dc8093dff8643942d2269130

8,416

py

Python

eval/report.py

DBCobra/CobraBench

d48697248948decc206cfba0a6e40fea8a772ff9

[ "MIT" ]

1

2021-03-03T06:52:50.000Z

eval/report.py

DBCobra/CobraBench

d48697248948decc206cfba0a6e40fea8a772ff9

[ "MIT" ]

1

2021-03-05T09:36:50.000Z

2021-03-08T12:02:53.000Z

eval/report.py

DBCobra/CobraBench

d48697248948decc206cfba0a6e40fea8a772ff9

[ "MIT" ]

1

2021-03-03T06:57:02.000Z

import pandas import numpy as np import math import os import sys import re from utils import * DIR_PATH = os.path.dirname(os.path.realpath(__file__)) percentiles = [ 10, 25, 50, 75, 90, 95, 99, 99.9 ] DATA_FOLDER = DIR_PATH + '/data' def getResult(trial_string, thread, client_num=2): print("thread: {}".format(t...

33.52988

110

0.557153

1,067

8,416

4.182755

0.182755

0.056688

0.016133

0.434013

0.38203

0.348868

0.337665

0.313018

0

0.017935

0.291112

8,416

250

111

33.664

0.730137

0.028042

0

0.358209

0

0.096403

0.007096

0.014925

0

1

0.034826

false

0

0.034826

0

0.114428

0.079602

0

null

0

null

0

1

0

f560efe52fd0d8fc1e6638e6bf52578a71fd2927

1,821

py

Python

platypush/backend/foursquare.py

RichardChiang/platypush

1777ebb0516118cdef20046a92caab496fa7c6cb

[ "MIT" ]

228

2018-01-30T11:17:09.000Z

2022-03-24T11:22:26.000Z

platypush/backend/foursquare.py

RichardChiang/platypush

1777ebb0516118cdef20046a92caab496fa7c6cb

[ "MIT" ]

167

2017-12-11T19:35:38.000Z

2022-03-27T14:45:30.000Z

platypush/backend/foursquare/__init__.py

BlackLight/runbullet

8d26c8634d2677b4402f0a21b9ab8244b44640db

[ "MIT" ]

16

2018-05-03T07:31:56.000Z

2021-12-05T19:27:37.000Z

from typing import Optional from platypush.backend import Backend from platypush.context import get_plugin from platypush.message.event.foursquare import FoursquareCheckinEvent class FoursquareBackend(Backend): """ This backend polls for new check-ins on the user's Foursquare account and triggers an event wh...

34.358491

115

0.697968

229

1,821

5.235808

0.366812

0.105088

0.119266

0.127606

0.100083

0.080067

0

0.005563

0.210324

1,821

52

116

35.019231

0.828234

0.250412

0

0.083333

0

0.073563

0.02682

0

1

0.125

false

0

0.166667

0

0.458333

0

null

0

null

0

1

0

f560ffe95556ccc11b3d6d39837b76f47f81ba08

2,980

py

Python

src/data/make_dataset.py

karsti11/caffe_bar_sales_analysis

f7001bbf2d09c1ceeb8aef35322652a8495949ed

[ "MIT" ]

null

src/data/make_dataset.py

karsti11/caffe_bar_sales_analysis

f7001bbf2d09c1ceeb8aef35322652a8495949ed

[ "MIT" ]

null

src/data/make_dataset.py

karsti11/caffe_bar_sales_analysis

f7001bbf2d09c1ceeb8aef35322652a8495949ed

[ "MIT" ]

null

import os import time import pandas as pd from src.utils import get_project_root from src.data.item_names_replacement import REPLACE_DICT1, REPLACE_DICT1 YEARS = [str(x) for x in list(range(2013,2021))] ROOT_DIR = get_project_root() def string_to_float(number): #Custom function for converting 'sales_value' colum...

40.27027

125

0.632215

412

2,980

4.262136

0.322816

0.102506

0.062642

0.04328

0.249431

0.216401

0.207859

0.177107

0

0.021343

0.245302

2,980

74

126

40.27027

0.759449

0.137248

0

0.12

0

0.13568

0.016218

0

1

0.08

false

0

0.1

0

0.28

0.08

0

null

0

null

0

1

0

f5617dd2284793a4d37b296ffc5aba3ca5a2e5d9

1,143

py

Python

aiml_bot/utilities.py

hosford42/pyaiml

42bb344d5f1d75c136e512bd05a44945d506f490

[ "BSD-2-Clause" ]

9

2017-08-17T08:34:44.000Z

2021-01-06T16:08:09.000Z

aiml_bot/utilities.py

hosford42/pyaiml

42bb344d5f1d75c136e512bd05a44945d506f490

[ "BSD-2-Clause" ]

2

2017-08-17T19:53:41.000Z

2020-01-22T23:19:44.000Z

aiml_bot/utilities.py

hosford42/pyaiml

42bb344d5f1d75c136e512bd05a44945d506f490

[ "BSD-2-Clause" ]

1

2018-07-29T19:16:14.000Z

""" This file contains assorted general utility functions used by other modules in the aiml_bot package. """ # TODO: Correctly handle abbreviations. def split_sentences(text: str) -> list: """Split the string s into a list of sentences.""" if not isinstance(text, str): raise TypeError(text) positi...

29.307692

67

0.594051

126

1,143

5.373016

0.515873

0.039882

0.075332

0.10192

0.146233

0

0.006361

0.312336

1,143

38

68

30.078947

0.854962

0.250219

0

0.222222

0

0.003567

0

0.026316

0

1

0.037037

false

0

0.074074

0

null

0

null

0

1

0

1

f565e620ce2b4fec57d532c3907bb966211865f1

5,858

py

Python

hard-gists/5181631/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

21

2019-07-08T08:26:45.000Z

2022-01-24T23:53:25.000Z

hard-gists/5181631/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

5

2019-06-15T14:47:47.000Z

2022-02-26T05:02:56.000Z

hard-gists/5181631/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

17

2019-05-16T03:50:34.000Z

2021-01-14T14:35:12.000Z

import os, time, random from collections import defaultdict from System import Console, ConsoleColor, ConsoleKey from System.Threading import Thread, ThreadStart class Screen(object): red = ConsoleColor.Red; green = ConsoleColor.Green; blue = ConsoleColor.Blue;black = ConsoleColor.Black dimension = (21,39) ...

59.171717

177

0.669

787

5,858

4.740788

0.205845

0.050121

0.048244

0.033503

0.187617

0.132672

0.106674

0.0922

0.056821

0

0.026788

0.209799

5,858

99

178

59.171717

0.779218

0.044725

0

0.087912

0

0.007688

0

0.003576

0

1

0.186813

false

0

0.043956

0.010989

0.43956

0

null

0

null

0

1

0

f566d3437e302ac56089e454a2ea9560ed781683

14,376

py

Python

dttpy/dttdata.py

neouniverse/dttpy

c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7

[ "MIT" ]

null

dttpy/dttdata.py

neouniverse/dttpy

c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7

[ "MIT" ]

null

dttpy/dttdata.py

neouniverse/dttpy

c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7

[ "MIT" ]

null

# #! coding:utf-8 import xml.etree.ElementTree as ET from xml.etree import ElementTree import base64 import binascii import numpy as np import matplotlib.pyplot as plt from collections import OrderedDict SubType = {'1':'ASD','2':'CSD','3':'TF','4':'???','5':'COH'} average_type = {'0':'Fixed','1':'Exponential','2':'Ac...

38.438503

81

0.483097

1,673

14,376

4.115959

0.112971

0.040517

0.048795

0.062736

0.754284

0.726111

0.719576

0.704328

0.685013

0.649579

0

0.018671

0.35921

14,376

373

82

38.541555

0.728832

0.059265

0

0.643836

0

0.107916

0.044035

0

1

0.061644

false

0

0.034247

0

0.136986

0.027397

0

null

0

1

0

1

0

null

0

4

f56710ff85a90ed722496b29dbe8a6afdffc8f9d

2,291

py

Python

neural_structured_learning/tools/graph_builder.py

eustomaqua/neural-structured-learning

e63a9e7ef435caaf6d70c04b6529e830bf47239d

[ "Apache-2.0" ]

null

neural_structured_learning/tools/graph_builder.py

eustomaqua/neural-structured-learning

e63a9e7ef435caaf6d70c04b6529e830bf47239d

[ "Apache-2.0" ]

null

neural_structured_learning/tools/graph_builder.py

eustomaqua/neural-structured-learning

e63a9e7ef435caaf6d70c04b6529e830bf47239d

[ "Apache-2.0" ]

null

# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...

34.19403

80

0.717154

334

2,291

4.757485

0.48503

0.03776

0.030208

0.020138

0.06545

0

0.011438

0.198603

2,291

66

81

34.712121

0.854031

0.430816

0

0.066667

0

0.136743

0.022965

0

1

0.033333

false

0

0.233333

0

0.266667

0.033333

0

null

0

null

0

1

0

f56a3c3291794639e68ab580cfe7cfde7175ba0c

11,672

py

Python

main/dataset.py

MarcSerraPeralta/rec-flows

d05c3eca944f2228cffa575698ee5b010e83f167

[ "MIT" ]

null

main/dataset.py

MarcSerraPeralta/rec-flows

d05c3eca944f2228cffa575698ee5b010e83f167

[ "MIT" ]

null

main/dataset.py

MarcSerraPeralta/rec-flows

d05c3eca944f2228cffa575698ee5b010e83f167

[ "MIT" ]

null

import torch from torch.utils import data import sys from sklearn.utils import shuffle import numpy as np import argparse import matplotlib.pyplot as plt class UserSet(data.Dataset): def __init__(self, path, tsplit, idim=100, seed=0, Nsongs=180198, pc_split=0.1, tag2vector_path=""): """ path : str path + fn...

36.936709

199

0.706306

1,731

11,672

4.60312

0.125361

0.035894

0.011295

0.015813

0.554342

0.53627

0.515813

0.500753

0.417043

0.40989

0

0.020367

0.146076

11,672

315

200

37.053968

0.779071

0.10598

0

0.432432

0

0.123779

0.004886

0

1

0.063063

false

0

0.031532

0.022523

0.171171

0.067568

0

null

0

null

0

1

0

f56aef37015ae46f5772b8eb36d680a12e113fe7

892

py

Python

back/LocationParser.py

DimaYurchenko/postdata-hackathon-app

f688491b27db991946fd104102a7912c1b104ea4

[ "MIT" ]

null

back/LocationParser.py

DimaYurchenko/postdata-hackathon-app

f688491b27db991946fd104102a7912c1b104ea4

[ "MIT" ]

null

back/LocationParser.py

DimaYurchenko/postdata-hackathon-app

f688491b27db991946fd104102a7912c1b104ea4

[ "MIT" ]

null

import json from typing import List from LocationObject import LocationObject def parse(file_path: str) -> List[LocationObject]: with open(file_path, "r") as file: data = json.loads(file.read().replace("\n", "")) locations: List[LocationObject] = [] for object in data: city = ...

27.030303

89

0.602018

88

892

6.079545

0.477273

0.029907

0

0.298206

892

32

90

27.875

0.854633

0.034753

0

0.060606

0

1

0.047619

false

0

0.142857

0

0.238095

0

null

0

null

0

1

0

f56b8e9802094da8814e591262fd9b96c9698428

736

py

Python

data/train/python/f56b8e9802094da8814e591262fd9b96c9698428manage.py

harshp8l/deep-learning-lang-detection

2a54293181c1c2b1a2b840ddee4d4d80177efb33

[ "MIT" ]

84

2017-10-25T15:49:21.000Z

2021-11-28T21:25:54.000Z

data/train/python/f56b8e9802094da8814e591262fd9b96c9698428manage.py

vassalos/deep-learning-lang-detection

cbb00b3e81bed3a64553f9c6aa6138b2511e544e

[ "MIT" ]

5

2018-03-29T11:50:46.000Z

2021-04-26T13:33:18.000Z

data/train/python/f56b8e9802094da8814e591262fd9b96c9698428manage.py

vassalos/deep-learning-lang-detection

cbb00b3e81bed3a64553f9c6aa6138b2511e544e

[ "MIT" ]

24

2017-11-22T08:31:00.000Z

2022-03-27T01:22:31.000Z

#!/usr/bin/env python3 #-*- codin:utf-8 -*- ''' 用django + celery + redis演示异步队列任务。不过文章写的太简略了，文章没啥意思，水平到了可以直接看代码。 python manage.py migrate -- looks at the INSTALLED_APPS setting and creates any necessary database tables according to the database settings in your mysite/settings.py file and the database migrations shipp...

33.454545

221

0.777174

105

736

5.257143

0.638095

0.108696

0.126812

0.07971

0

0.009449

0.137228

736

21

222

35.047619

0.859843

0.67663

0

0.19214

0.09607

0

1

0

true

0

0.5

0

0.5

0

null

0

null

0

1

0

1

0

2

f56b9c719e339cbfa0c390fd236dda0208636e27

7,786

py

Python

nfp/servicos/controles/controle_execucao.py

FranciscoACLima/Robo_NFP_Selenium

7702854f94355fee8d78a4c04fc134cf099db5f0

[ "MIT" ]

null

nfp/servicos/controles/controle_execucao.py

FranciscoACLima/Robo_NFP_Selenium

7702854f94355fee8d78a4c04fc134cf099db5f0

[ "MIT" ]

16

2020-09-05T16:03:40.000Z

2022-03-19T17:42:05.000Z

nfp/servicos/controles/controle_execucao.py

FranciscoACLima/Robo_NFP_Selenium

7702854f94355fee8d78a4c04fc134cf099db5f0

[ "MIT" ]

null

import os from datetime import datetime from sqlalchemy.orm import sessionmaker import nfp.servicos.model as tables from nfp import CONEXAO class ControleExecucao(object): uri = '' tarefa = None tarefa_nova = False engine = CONEXAO def configurar_base_de_dados(self): self.DBSession = ses...

32.041152

96

0.595171

852

7,786

5.278169

0.183099

0.042695

0.048922

0.021348

0.500778

0.480987

0.448521

0.409162

0.38648

0.320881

0

0.00037

0.305934

7,786

242

97

32.173554

0.831791

0.058053

0

0.509901

0

0.034158

0.003143

0

1

0.084158

false

0.009901

0.024752

0

0.242574

0.014851

0

null

0

null

0

1

0

f56c33ff6b67b94fb127b4ea54ac62ad0efe9506

2,458

py

Python

artifactory/repository/repository.py

VeritasOS/py-artifactory

a54bde5cf31f02a1f836bb013ac17a78859b3370

[ "Apache-2.0" ]

6

2017-08-11T23:53:43.000Z

2019-10-25T17:34:11.000Z

artifactory/repository/repository.py

VeritasOS/py-artifactory

a54bde5cf31f02a1f836bb013ac17a78859b3370

[ "Apache-2.0" ]

2

2019-05-07T01:36:08.000Z

2021-03-31T18:40:11.000Z

artifactory/repository/repository.py

VeritasOS/py-artifactory

a54bde5cf31f02a1f836bb013ac17a78859b3370

[ "Apache-2.0" ]

2

2018-12-11T09:43:15.000Z

2019-10-25T18:19:05.000Z

# -*- coding: utf-8 -*- """ Artifactory repository endpoint """ __copyright__ = "Copyright (C) 2016 Veritas Technologies LLC. All rights reserved." # project imports from ..http import HTTP from .repotype import RepositoryType from .virtual import Virtual from .local import Local from .remote import Remote # define a...

27.311111

83

0.579333

263

2,458

5.311787

0.292776

0.035075

0.028633

0.027201

0.117394

0

0.006965

0.299024

2,458

89

84

27.617978

0.803831

0.07974

0

0.133333

0

0.142729

0

0.011236

0

1

0.116667

false

0

0.083333

0.05

0.4

0

null

0

null

0

1

0

1

f56e6fbda99325c6509cd93be29f620a11819e74

2,887

py

Python

app.py

PrismaPhonic/PetFinder-Exercise

a4d2c6293873299f9d6632158bca837a830fac98

[ "MIT" ]

null

app.py

PrismaPhonic/PetFinder-Exercise

a4d2c6293873299f9d6632158bca837a830fac98

[ "MIT" ]

null

app.py

PrismaPhonic/PetFinder-Exercise

a4d2c6293873299f9d6632158bca837a830fac98

[ "MIT" ]

null

"""Adoption application.""" from flask import Flask, request, redirect, render_template from models import db, connect_db, Pets from wtforms import StringField, IntegerField, TextAreaField, BooleanField from wtforms.validators import DataRequired,InputRequired,AnyOf,URL, NumberRange from flask_wtf import FlaskForm fro...

29.459184

114

0.66505

362

2,887

5.146409

0.303867

0.042941

0.030596

0.022544

0.180354

0.085883

0.060118

0

0.003886

0.197783

2,887

97

115

29.762887

0.800518

0.078282

0

0.16129

0

0.137262

0.020152

0

1

0.048387

false

0

0.112903

0

0.403226

0

null

0

null

0

1

0

f56f1c7317138379cc46e4bc9738fe0615922706

17,810

py

Python

pyrolite/util/resampling.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

69

2019-02-25T00:17:53.000Z

2022-03-31T17:26:48.000Z

pyrolite/util/resampling.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

68

2018-07-20T09:01:01.000Z

2022-03-31T16:28:36.000Z

pyrolite/util/resampling.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

24

2018-10-02T04:32:10.000Z

2021-11-10T08:24:17.000Z

""" Utilities for (weighted) bootstrap resampling applied to geoscientific point-data. """ import numpy as np import pandas as pd from .meta import subkwargs from .spatial import great_circle_distance, _get_sqare_grid_segment_indicies from .log import Handle logger = Handle(__name__) try: import sklea...

40.022472

131

0.614935

2,161

17,810

4.961592

0.216104

0.013057

0.012684

0.006995

0.181309

0.13822

0.100634

0.079276

0.042529

0.035068

0

0.006952

0.289276

17,810

444

132

40.112613

0.840101

0.488995

0

0.204082

0

0.039005

0

0.002252

0

1

0.030612

false

0.005102

0.035714

0.005102

0.102041

0

null

0

null

0

1

0

f56fadc40b0f5bac091cf8c15f4a134f11cb883f

49

py

Python

sfrmaker/test/test_nhdplus_utils.py

mnfienen/sfrmaker

f3ee175c67c80df15bff509235d9a6218bfc6b0b

[ "CC0-1.0" ]

17

2015-08-15T02:20:04.000Z

2020-04-30T17:36:21.000Z

sfrmaker/test/test_nhdplus_utils.py

rfrederiksen/sfrmaker

7e66d67d6cb0ad84fbb9994402f0baaf5b3fcd01

[ "CC0-1.0" ]

15

2015-03-04T16:57:13.000Z

2020-01-14T16:29:18.000Z

sfrmaker/test/test_nhdplus_utils.py

rfrederiksen/sfrmaker

7e66d67d6cb0ad84fbb9994402f0baaf5b3fcd01

[ "CC0-1.0" ]

9

2015-08-18T14:15:07.000Z

2020-04-28T18:45:21.000Z

# TODO: add unit tests for test_nhdplus_utils.py

24.5

48

0.795918

9

49

4.111111

1

0

0.142857

49

1

49

0.880952

0.938776

0

null

0

null

0

null

0

1

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

f570043bcd7ec43faf876327124a5a21c6d01798

1,809

py

Python

src/examples/stimuli-representation.py

cwardell97/learn-hippo-1

90280c614fb94aea82a60c2ed071db8068a37d5c

[ "MIT" ]

null

src/examples/stimuli-representation.py

cwardell97/learn-hippo-1

90280c614fb94aea82a60c2ed071db8068a37d5c

[ "MIT" ]

null

src/examples/stimuli-representation.py

cwardell97/learn-hippo-1

90280c614fb94aea82a60c2ed071db8068a37d5c

[ "MIT" ]

null

import numpy as np import seaborn as sns import matplotlib.pyplot as plt from task import SequenceLearning sns.set(style='white', palette='colorblind', context='poster') np.random.seed(0) '''how to use''' # init n_param, n_branch = 16, 4 pad_len = 0 n_parts = 2 n_samples = 256 p_rm_ob_enc = 0 p_rm_ob_rcl = 0 n_rm_fixe...

28.265625

74

0.666667

331

1,809

3.425982

0.347432

0.063492

0.04321

0.057319

0.092593

0.067901

0.049383

0

0.026631

0.169707

1,809

63

75

28.714286

0.728362

0.016584

0

0.159261

0.017311

0

1

0

false

0

0.078431

0

0.078431

0.039216

0

null

0

null

0

1

0

f570cddcfd6909cf11435d43423d70ccb8d64b16

133

py

Python

WEEKS/wk17/CodeSignal-Solutions/Core_007_-_lateRide.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

WEEKS/wk17/CodeSignal-Solutions/Core_007_-_lateRide.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

WEEKS/wk17/CodeSignal-Solutions/Core_007_-_lateRide.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

def lateRide(n): hours = n // 60 minutes = n % 60 return (hours // 10) + (hours % 10) + (minutes // 10) + (minutes % 10)

26.6

74

0.511278

18

133

3.777778

0.444444

0.088235

0.323529

0

0.129032

0.300752

133

4

75

33.25

0.602151

0

1

0.25

false

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

f571719391b271f64aa33623e91452b85398b280

704

py

Python

eventbusk/exceptions.py

Airbase/eventbusk

704d50a4c9c1f7d332dba93ee04ab07afa59d216

[ "BSD-3-Clause" ]

null

eventbusk/exceptions.py

Airbase/eventbusk

704d50a4c9c1f7d332dba93ee04ab07afa59d216

[ "BSD-3-Clause" ]

1

2021-06-13T18:08:50.000Z

eventbusk/exceptions.py

Airbase/eventbusk

704d50a4c9c1f7d332dba93ee04ab07afa59d216

[ "BSD-3-Clause" ]

null

""" Custom exceptions """ from __future__ import annotations __all__ = [ "AlreadyRegistered", "ConsumerError", "EventBusError", "UnknownEvent", ] class EventBusError(Exception): """ Base of exceptions raised by the bus. """ class UnknownEvent(EventBusError): """ Raised when an r...

16.761905

79

0.661932

71

704

6.450704

0.535211

0.165939

0.048035

0.10917

0

0.238636

704

41

80

17.170732

0.854478

0.382102

0

0.15625

0

1

0

false

0

0.083333

0

0.5

0

null

0

null

0

1

0

f572b933b1b5aed70aca3d4ac6ade4a2e8fe1e58

9,580

py

Python

sparse_ct/example/dgr_example.py

mozanunal/SparseCT

97d7f06c0414f934c7fa36023adcf9fe4c071eaf

[ "MIT" ]

11

2020-11-01T11:35:30.000Z

2022-03-30T02:19:52.000Z

sparse_ct/example/dgr_example.py

mozanunal/SparseCT

97d7f06c0414f934c7fa36023adcf9fe4c071eaf

[ "MIT" ]

8

2020-12-13T12:17:38.000Z

2021-12-21T21:04:27.000Z

sparse_ct/example/dgr_example.py

mozanunal/SparseCT

97d7f06c0414f934c7fa36023adcf9fe4c071eaf

[ "MIT" ]

null

from sparse_ct.tool import plot_grid from sparse_ct.data import image_to_sparse_sinogram from sparse_ct.reconstructor_2d import ( IRadonReconstructor, SartReconstructor, SartTVReconstructor, DgrReconstructor, SartBM3DReconstructor) import logging logging.basicConfig( filename='dgr_example_32_...

38.167331

93

0.423173

1,101

9,580

3.333333

0.131698

0.069482

0.029428

0.034332

0.571662

0.5297

0.528338

0.435967

0.394823

0

0.113128

0.482359

9,580

250

94

38.32

0.626941

0

0.537445

0

0.106934

0.066416

0

1

0.004405

false

0

0.017621

0

0.022026

0

null

0

null

0

1

0

f5735cd931c6cb22e8fa362f8340421fcf372c3d

1,340

py

Python

backend/app/settings/globals.py

alldevic/base-fastapi-postgresql

7e3a2916910155cd83b10cd7fec42eba7b1d3a95

[ "MIT" ]

3

2021-06-17T00:06:15.000Z

2022-01-26T03:53:51.000Z

backend/app/settings/globals.py

alldevic/base-fastapi-postgresql

7e3a2916910155cd83b10cd7fec42eba7b1d3a95

[ "MIT" ]

null

backend/app/settings/globals.py

alldevic/base-fastapi-postgresql

7e3a2916910155cd83b10cd7fec42eba7b1d3a95

[ "MIT" ]

null

from pathlib import Path from typing import Optional from starlette.config import Config from starlette.datastructures import CommaSeparatedStrings from ..models.pydantic.database import DatabaseURL p: Path = Path(__file__).parents[2] / ".env" config: Config = Config(p if p.exists() else None) DATABASE: str = confi...

31.162791

72

0.750746

174

1,340

5.586207

0.264368

0.055556

0.072016

0.055556

0.216049

0.139918

0

0.008584

0.130597

1,340

42

73

31.904762

0.825751

0

0.277778

0

0.117164

0.01791

0

1

0

true

0.138889

0

0.138889

0

null

0

null

0

1

0

2

f5738865aace2f3446a95a35c7f51b460031ae67

1,607

py

Python

03. Advanced (Nested) Conditional Statements/P09 Fruit Shop #.py

KrisBestTech/Python-Basics

10bd961bf16d15ddb94bbea53327b4fc5bfdba4c

[ "MIT" ]

null

03. Advanced (Nested) Conditional Statements/P09 Fruit Shop #.py

KrisBestTech/Python-Basics

10bd961bf16d15ddb94bbea53327b4fc5bfdba4c

[ "MIT" ]

null

03. Advanced (Nested) Conditional Statements/P09 Fruit Shop #.py

KrisBestTech/Python-Basics

10bd961bf16d15ddb94bbea53327b4fc5bfdba4c

[ "MIT" ]

null

fruit = str(input()) day_of_the_week = str(input()) quantity = float(input()) price = 0 if fruit == 'banana' or \ fruit == 'apple' or \ fruit == 'orange' or \ fruit == 'grapefruit' or \ fruit == 'kiwi' or \ fruit == 'pineapple' or \ fruit == 'grapes': if day_of_the_...

21.716216

71

0.47542

184

1,607

4

0.255435

0.146739

0.086957

0.130435

0.516304

0.111413

0

0.044103

0.393279

1,607

73

72

22.013699

0.710769

0

0.461538

0

0.144368

0

1

0

false

0

0.076923

0

null

0

null

0

1

0

f573e98c3617ee161a5bc2f46171d1b7f2905fc3

1,368

py

Python

trajectories/tests/test_DTW.py

donsheehy/geomcps

b4ef5dbf0fed21927485b01580b724272f84d9ed

[ "MIT" ]

null

trajectories/tests/test_DTW.py

donsheehy/geomcps

b4ef5dbf0fed21927485b01580b724272f84d9ed

[ "MIT" ]

null

trajectories/tests/test_DTW.py

donsheehy/geomcps

b4ef5dbf0fed21927485b01580b724272f84d9ed

[ "MIT" ]

null

import unittest from trajectories.dynamic_time_warper import * from trajectories.trajectory import Trajectory from trajectories.point import Point class TestDTW(unittest.TestCase): def test_1D_DTW(self): t1 = [1,2,2,10,2,1] t2 = [3,3,5,5,2] self.assertEqual(45, dtw(t1, t2, -1, metricI)) ...

33.365854

93

0.54386

195

1,368

3.74359

0.215385

0.164384

0.093151

0.087671

0.490411

0.424658

0.353425

0

0.106046

0.262427

1,368

40

94

34.2

0.617443

0

0.388889

0

0.005848

0

0.222222

1

0.083333

false

0

0.111111

0

0.222222

0

null

0

null

0

1

0

f57687a33470d7205bc87af05ce7973af384b2a0

235

py

Python

1103.py

gabzin/uri

177bdf3f87bacfd924bd031a973b8db877379fe5

[ "MIT" ]

3

2021-09-21T18:50:20.000Z

2021-12-14T13:07:31.000Z

1103.py

gabzin/uri

177bdf3f87bacfd924bd031a973b8db877379fe5

[ "MIT" ]

null

1103.py

gabzin/uri

177bdf3f87bacfd924bd031a973b8db877379fe5

[ "MIT" ]

null

while True: h1,m1,h2,m2=map(int,input().split()) i=f=0 if m1+m2+h1+h2==0:break if h1==0:i=(24*60)+m1 else:i=(h1*60)+m1 if h2==0:f=(24*60)+m2 else:f=(h2*60)+m2 print(f-i) if f>i else print((24*60)-(i-f))

23.5

47

0.52766

56

235

2.214286

0.339286

0.096774

0

0.193548

0.208511

235

9

48

26.111111

0.473118

0

1

0

false

0

0.111111

0

null

0

1

0

1

0

null

0

2

f578b94c9410c26b42768750abeeeeadcdf0cd8f

4,820

py

Python

portfolio_pj/portfolio_app/views.py

duynb92/portfolio_site_py

b69be83a11d9adafae664bf08e506273f541ff53

[ "MIT" ]

null

portfolio_pj/portfolio_app/views.py

duynb92/portfolio_site_py

b69be83a11d9adafae664bf08e506273f541ff53

[ "MIT" ]

4

2020-02-11T23:47:01.000Z

2021-06-10T21:12:36.000Z

portfolio_pj/portfolio_app/views.py

duynb92/portfolio_site_py

b69be83a11d9adafae664bf08e506273f541ff53

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.shortcuts import render from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger from django.db.models import Count from django.template import RequestContext from django.views.decorators.csrf import csrf_exempt from django.htt...

41.551724

111

0.700415

603

4,820

5.451078

0.281924

0.040158

0.050198

0.068451

0.265896

0.239732

0.222695

0.203225

0

0.002747

0.169087

4,820

116

112

41.551724

0.817978

0.069295

0

0.137931

0

0.096717

0.004691

0

1

0.183908

false

0

0.137931

0.045977

0.528736

0

null

0

null

0

1

0

1

f5792851b55e8b741f344366679574e04969bc93

1,022

py

Python

backend/repositories/bookmark_repository.py

heshikirihasebe/fastapi-instagram-clone

7bc265a62160171c5c5c1b2f18b3c86833cb64e7

[ "MIT" ]

1

2022-02-08T19:35:22.000Z

backend/repositories/bookmark_repository.py

heshikirihasebe/fastapi-instagram-clone

7bc265a62160171c5c5c1b2f18b3c86833cb64e7

[ "MIT" ]

null

backend/repositories/bookmark_repository.py

heshikirihasebe/fastapi-instagram-clone

7bc265a62160171c5c5c1b2f18b3c86833cb64e7

[ "MIT" ]

null

import datetime from ..databases.postgresql import session from ..models.bookmark_model import Bookmark # Select one async def select_one(user_id: int, post_id: int): bookmark = session.query(Bookmark).filter(Bookmark.user_id == user_id, Bookmark.post_id == post_id).first() return bookmark # Insert async def ...

31.9375

116

0.720157

143

1,022

4.937063

0.258741

0.110482

0.056657

0.067989

0.405099

0.311615

0.286119

0.223796

0

0.167319

1,022

31

117

32.967742

0.829612

0.040117

0

0.26087

0

1

0

false

0

0.130435

0

0.217391

0

null

0

null

0

1

0

f57b07d03e45e8f7fc9d99adb6fc72590a4d7edd

3,326

py

Python

D3_cgi/support/uman.py

slzjw26/learn_Pthon

9c4053ec1ea4c32a01fa2658499d8e53a4a532f3

[ "MIT" ]

null

D3_cgi/support/uman.py

slzjw26/learn_Pthon

9c4053ec1ea4c32a01fa2658499d8e53a4a532f3

[ "MIT" ]

null

D3_cgi/support/uman.py

slzjw26/learn_Pthon

9c4053ec1ea4c32a01fa2658499d8e53a4a532f3

[ "MIT" ]

null

#!/usr/bin/python3 # # User management application # """ 六、用python写一个cgi程序，功能如下： 1. 查询用户 (get) 2. 创建用户 (post) 3. 修改用户 (post) 4. 删除用户 (post) 要点： 1. 通过变量 REQUEST_METHOD 来判断是get还是post 2. 通过变量 QUERY_STRING 来判断是创建还是修改还是删除 3. 通过subprocess.getoutput, 或者os.system 来运行shell命令 4. 相关命令如下： ...

27.262295

77

0.591401

422

3,326

4.575829

0.334123

0.069912

0.068876

0.047644

0.179182

0.156396

0.086484

0.059037

0

0.013638

0.250451

3,326

121

78

27.487603

0.760931

0.164762

0

0.141026

0

0.192963

0

1

0.051282

false

0.025641

0.038462

0

0.205128

0.025641

0

null

0

null

0

1

0

f57b96c36aa134214c43fa41994f0ddf57c913f2

1,979

py

Python

main.py

TheGreatRambler/blender-universal-exporter

996191a787b36aa6ea007b82a36b9a752b9f50ee

[ "MIT" ]

2

2018-10-11T17:34:51.000Z

2021-04-26T20:51:45.000Z

main.py

TheGreatRambler/blender-universal-exporter

996191a787b36aa6ea007b82a36b9a752b9f50ee

[ "MIT" ]

null

main.py

TheGreatRambler/blender-universal-exporter

996191a787b36aa6ea007b82a36b9a752b9f50ee

[ "MIT" ]

null

bl_info = { "name": "Universal Exporter", "category": "Import & Export", } import bpy class Export(bpy.types.Operator): """Export blender project""" bl_idname = "object.export_scene" bl_label = "Export Blender Scene" bl_options = {'REGISTER', 'UNDO'} def execute(self, context): s...

32.983333

69

0.458312

174

1,979

4.936782

0.505747

0.065192

0

0.002849

0.467913

1,979

59

70

33.542373

0.812915

0.037898

0

0.065705

0

null

0

0.045455

null

0

null

0

null

0

1

0

1

f57c524ea058c9eaac99f335f5d9b80e94762f25

2,024

py

Python

chmm_files/chmm_gen.py

IvanTyulyandin/Lin_alg_Viterbi

0359c33ed67f8748cd51e8852555ea2fa35b9365

[ "Apache-2.0" ]

null

chmm_files/chmm_gen.py

IvanTyulyandin/Lin_alg_Viterbi

0359c33ed67f8748cd51e8852555ea2fa35b9365

[ "Apache-2.0" ]

null

chmm_files/chmm_gen.py

IvanTyulyandin/Lin_alg_Viterbi

0359c33ed67f8748cd51e8852555ea2fa35b9365

[ "Apache-2.0" ]

null

import random # Parameters states_num: int = 900 trans_per_state: int = 3 transitions_num: int = trans_per_state * states_num num_non_zero_start_probs: int = 2 emit_range: int = 20 file_name: str = "random_" + \ str(states_num) + "_" + str(transitions_num) + "_" + \ str(emit_range) + "_" + str(num_non_zero_st...

32.126984

77

0.64081

289

2,024

4.211073

0.273356

0.059162

0.044371

0.061627

0.211175

0.082991

0.047658

0

0.009766

0.241107

2,024

62

78

32.645161

0.782552

0.148221

0

0.019837

0

1

0.02439

false

0

0.02439

0

0.073171

0

null

0

null

0

1

0

f57e7874385469f7089b57659f20f37fe7da9980

1,764

py

Python

solutions/0409-longest-palindrome/longest-palindrome.py

iFun/Project-G

d33b3b3c7bcee64f93dc2539fd9955a27f321d96

[ "MIT" ]

null

solutions/0409-longest-palindrome/longest-palindrome.py

iFun/Project-G

d33b3b3c7bcee64f93dc2539fd9955a27f321d96

[ "MIT" ]

null

solutions/0409-longest-palindrome/longest-palindrome.py

iFun/Project-G

d33b3b3c7bcee64f93dc2539fd9955a27f321d96

[ "MIT" ]

null

# Given a string which consists of lowercase or uppercase letters, find the length of the longest palindromes that can be built with those letters. # # This is case sensitive, for example "Aa" is not considered a palindrome here. # # Note: # Assume the length of given string will not exceed 1,010. # # # Example: ...

20.275862

148

0.616213

239

1,764

4.523013

0.384937

0.049954

0.040703

0.051804

0.601295

0

0.03892

0.286281

1,764

86

149

20.511628

0.819698

0.613379

0

0.105263

0

1

0.052632

false

0

0.315789

0

null

0

1

0

null

0

1

f57f22bf388fb4aa2a7b99663c5c1b62f0a9da4f

108

py

Python

getpaid/rest_framework/apps.py

wuuuduu/django-getpaid

d864de53bc947e2d1ab4f2d3879a803cab1216d3

[ "MIT" ]

6

2020-05-26T08:49:10.000Z

2022-01-03T17:44:19.000Z

getpaid/rest_framework/apps.py

wuuuduu/django-getpaid

d864de53bc947e2d1ab4f2d3879a803cab1216d3

[ "MIT" ]

null

getpaid/rest_framework/apps.py

wuuuduu/django-getpaid

d864de53bc947e2d1ab4f2d3879a803cab1216d3

[ "MIT" ]

1

2021-08-23T06:59:05.000Z

from django.apps import AppConfig class GetpaidRestConfig(AppConfig): name = "getpaid_rest_framework"

18

35

0.796296

12

108

7

0.916667

0

0.138889

108

5

36

21.6

0.903226

0

0.203704

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f580e360a82ba7dad75ab77286f0111cf9d43ab3

392

py

Python

new_server.py

19bcs2410/flask_updated-web-chat

c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e

[ "MIT" ]

null

new_server.py

19bcs2410/flask_updated-web-chat

c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e

[ "MIT" ]

null

new_server.py

19bcs2410/flask_updated-web-chat

c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e

[ "MIT" ]

null

import socketio import socketio sio = socketio.Client() @sio.event def connect(): print('connection established') @sio.event def my_message(data): print('message received with ', data) sio.emit('my response', {'response': 'my response'}) @sio.event def disconnect(): print('disconne...

17.818182

57

0.660714

47

392

5.489362

0.531915

0.093023

0.127907

0

0.012658

0.193878

392

21

58

18.666667

0.803797

0

0.333333

0

0.320755

0

1

0.2

false

0

0.133333

0

0.333333

0.2

0

null

0

null

0

1

0

f582dcf3f1bc8baf921c638fcb41729df76ff930

2,042

py

Python

ricecooker/utils/libstudio.py

elaeon/ricecooker

e5ef13478625b6996775ae7690e027140bc63373

[ "MIT" ]

null

ricecooker/utils/libstudio.py

elaeon/ricecooker

e5ef13478625b6996775ae7690e027140bc63373

[ "MIT" ]

1

2019-04-20T07:14:04.000Z

ricecooker/utils/libstudio.py

nucleogenesis/ricecooker

7525f842e34f5bbb37d1f2d3c85872faa32724ff

[ "MIT" ]

null

import requests import requests_cache requests_cache.install_cache() from ricecooker.config import LOGGER STUDIO_URL = 'https://studio.learningequality.org' NODES_ENDPOINT = STUDIO_URL + '/api/get_nodes_by_ids_complete/' LICENSES_LIST_ENDPOINT = STUDIO_URL + '/api/license' # TODO https://studio.learningequa...

37.127273

94

0.664055

238

2,042

5.39916

0.298319

0.056031

0.031128

0.040467

0.133852

0.101167

0.063813

0

0.025016

0.236533

2,042

54

95

37.814815

0.79923

0.13761

0

0.051282

0

0.102653

0.017878

0

0.018519

0

1

0.128205

false

0

0.076923

0

0.307692

0

null

0

null

0

1

0

1

f583aafa3eab4133dcbce8cce69eba93bfd77474

2,163

py

Python

Python/kruskal.py

AtilioA/algoritmos-teoria-dos-grafos

287234d9d4c5c16707dfe71629f5c237e1759826

[ "Unlicense" ]

2

2020-05-14T14:12:45.000Z

2020-09-07T20:44:23.000Z

Python/kruskal.py

AtilioA/teoria-dos-grafos

287234d9d4c5c16707dfe71629f5c237e1759826

[ "Unlicense" ]

null

Python/kruskal.py

AtilioA/teoria-dos-grafos

287234d9d4c5c16707dfe71629f5c237e1759826

[ "Unlicense" ]

null

# Supostamente não funciona from aresta import Aresta from insert import insert_sort from collections import defaultdict def kruskal(arestas): arestas, vertices = insert_sort(arestas, defaultdict()) # Inicializa a árvore de fato arvore = list() # vertices terá o número de chaves do dicionário retorna...

33.796875

90

0.609801

294

2,163

4.44898

0.306122

0.220183

0.334098

0.076453

0.230122

0

0.045104

0.220989

2,163

63

91

34.333333

0.731157

0.460009

0

0.035714

0.100612

0

0.015873

0

1

0.035714

false

0

0.107143

0

0.178571

0.071429

0

null

1

0

null

0

1

0

3

f58515c1c70e7d555b4680ca39bcd04616159789

1,983

py

Python

metodoDePaulo.py

paulossa/MSN

e80b4b82ae865ea50f69619712f7e73dc1eac95d

[ "MIT" ]

null

metodoDePaulo.py

paulossa/MSN

e80b4b82ae865ea50f69619712f7e73dc1eac95d

[ "MIT" ]

null

metodoDePaulo.py

paulossa/MSN

e80b4b82ae865ea50f69619712f7e73dc1eac95d

[ "MIT" ]

null

# coding: utf-8 import sys __author__ = "Paulo Sérgio dos Santos Araujo" __license__ = "MIT" __version__ = "1.0.0" __email__ = "paulo.araujo [at] splab.ufcg.edu.br" class Msn: """ Essa classe feita para disciplina de Métodos de Software Númericos - UFCG 2018.2 se propõe a encontrar as raízes de uma certa...

36.054545

122

0.534039

265

1,983

3.875472

0.430189

0.038948

0.023369

0.029211

0.090555

0.056475

0.033106

0

0.065399

0.336863

1,983

55

123

36.054545

0.715589

0.283913

0

0.057143

0

0.133481

0

0.018182

0

1

0.085714

false

0

0.028571

0.171429

0.085714

0

null

0

null

0

1

0

1

f585cb72a0db164994f5a14aac9910a31f98b2a9

1,096

py

Python

unit1/data-types.py

mmunozz/merit-notes

66c04939eb2aa9f63efe4ef947c291aafbc1ce0a

[ "MIT" ]

null

unit1/data-types.py

mmunozz/merit-notes

66c04939eb2aa9f63efe4ef947c291aafbc1ce0a

[ "MIT" ]

null

unit1/data-types.py

mmunozz/merit-notes

66c04939eb2aa9f63efe4ef947c291aafbc1ce0a

[ "MIT" ]

null

""" Project: Data Types Notes Author: Mr. Buckley Last update: 8/25/2018 Description: Goes over comments, int, float, str, and type casting """ # *** COMMENTS *** # This is a comment (with a "#") # Comments are only for the user's eyes, the program doesn't read them. # Describe what sections of code do with...

20.296296

71

0.671533

173

1,096

4.231214

0.473988

0.027322

0.019126

0

0.021566

0.196168

1,096

53

72

20.679245

0.809308

0.609489

0

0.127371

0

0.018868

0

1

0

false

0

0.588235

0

null

0

null

0

1

0

1

0

2

f5869e041f8cfc604cdaeae8bc529488e18f09e4

3,812

py

Python

zarr-dataset/test_anime_faces.py

tinon224/experiments

cbe066fb9eec20f290eaff5bb19131616af61bee

[ "MIT" ]

103

2015-03-28T14:32:44.000Z

2021-03-31T08:20:24.000Z

zarr-dataset/test_anime_faces.py

tinon224/experiments

cbe066fb9eec20f290eaff5bb19131616af61bee

[ "MIT" ]

6

2016-05-17T13:31:56.000Z

2020-11-13T17:19:19.000Z

zarr-dataset/test_anime_faces.py

tinon224/experiments

cbe066fb9eec20f290eaff5bb19131616af61bee

[ "MIT" ]

106

2015-05-10T14:29:06.000Z

2021-07-13T08:19:19.000Z

import os import zarr import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import DataLoader from torch.utils.data import Dataset from tqdm import tqdm, trange class FaceDataset(Dataset): def __init__(self, path, transforms=None): self.path = path self.keys = (...

33.147826

88

0.597587

485

3,812

4.564948

0.294845

0.020325

0.012195

0.01626

0.248419

0.195122

0.169828

0.143631

0.107498

0.072267

0

0.027646

0.278856

3,812

114

89

33.438596

0.777737

0

0.12766

0

0.035414

0.013641

0

0.010638

1

0.06383

false

0

0.085106

0.010638

0.202128

0.010638

0

null

0

null

0

1

0

f586db857714c3a406cc8d011335a90b361a86d4

1,066

py

Python

pepper/spiders/pepper.py

Guilehm/dr-pepper-crawler

0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2

[ "MIT" ]

null

pepper/spiders/pepper.py

Guilehm/dr-pepper-crawler

0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2

[ "MIT" ]

2

2021-03-31T19:47:28.000Z

2021-06-08T20:39:41.000Z

pepper/spiders/pepper.py

Guilehm/dr-pepper-crawler

0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2

[ "MIT" ]

null

import os import scrapy from pepper.items import PepperItem class PepperSpider(scrapy.Spider): name = 'pepper' start_urls = ['https://blog.drpepper.com.br'] def parse(self, response): images = response.xpath( './/img[contains(@class,"size-full")]' ) images += respons...

28.052632

93

0.541276

113

1,066

5.044248

0.513274

0.091228

0.1

0.115789

0.175439

0.122807

0

0.001339

0.29925

1,066

37

94

28.810811

0.761714

0

0.068966

0

0.231707

0.167917

0

1

0.034483

false

0

0.103448

0

0.241379

0

null

0

null

0

1

0

f5885ba233a8e2203989f8de45355db074bbea32

4,334

py

Python

spotseeker_server/test/search/uw_noise_level.py

uw-it-aca/spotseeker_server

1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c

[ "Apache-2.0" ]

5

2015-03-12T00:36:33.000Z

2022-02-24T16:41:25.000Z

spotseeker_server/test/search/uw_noise_level.py

uw-it-aca/spotseeker_server

1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c

[ "Apache-2.0" ]

133

2016-02-03T23:54:45.000Z

2022-03-30T21:33:58.000Z

spotseeker_server/test/search/uw_noise_level.py

uw-it-aca/spotseeker_server

1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c

[ "Apache-2.0" ]

6

2015-01-07T23:21:15.000Z

2017-12-07T08:26:33.000Z

# Copyright 2021 UW-IT, University of Washington # SPDX-License-Identifier: Apache-2.0 from django.test import TestCase from django.test.client import Client from django.test.utils import override_settings import simplejson as json from spotseeker_server.models import Spot, SpotExtendedInfo from spotseeker_server.org_...

42.910891

79

0.682972

527

4,334

5.358634

0.220114

0.037181

0.027266

0.03966

0.415368

0.360836

0.342422

0.330737

0

0.002384

0.225658

4,334

100

80

43.34

0.839094

0.171435

0

0.185714

0

0.07631

0.028474

0

0.114286

1

0.171429

false

0

0.085714

0.014286

0.314286

0

null

0

null

0

1

0

f58a63fcbad7aec0c720d44005782e265c314a57

17

py

Python

inventoryanalytics/simulation/deterministic/__init__.py

vishalbelsare/inventoryanalytics

85feff8f1abaf2c29414e066eed096ac3a74973b

[ "MIT" ]

7

2018-06-17T02:45:33.000Z

2021-06-11T09:13:06.000Z

inventoryanalytics/simulation/deterministic/__init__.py

vishalbelsare/inventoryanalytics

85feff8f1abaf2c29414e066eed096ac3a74973b

[ "MIT" ]

1

2021-02-07T03:33:22.000Z

2021-06-02T21:11:59.000Z

inventoryanalytics/simulation/deterministic/__init__.py

vishalbelsare/inventoryanalytics

85feff8f1abaf2c29414e066eed096ac3a74973b

[ "MIT" ]

7

2018-07-14T19:45:43.000Z

2021-10-12T09:45:04.000Z

__all__ = ["des"]

17

0.588235

2

17

3

1

0

0.117647

17

1

17

0.4

0

0.166667

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

f58b58dad3bb3dc21147ea1fd781e8e5e4ef8b49

185

py

Python

spotdl/metadata/providers/__init__.py

khjxiaogu/spotify-downloader

a8dcb8d998da0769bbe210f2808d16b346453c23

[ "MIT" ]

4,698

2017-06-20T22:37:10.000Z

2022-03-28T13:38:07.000Z

spotdl/metadata/providers/__init__.py

Delgan/spotify-downloader

8adf3e8d6b98269b1538dd91c9a44ed345c77545

[ "MIT" ]

690

2017-06-20T20:08:42.000Z

2022-02-26T23:36:07.000Z

spotdl/metadata/providers/__init__.py

Delgan/spotify-downloader

8adf3e8d6b98269b1538dd91c9a44ed345c77545

[ "MIT" ]

741

2017-06-21T23:32:51.000Z

2022-03-07T12:11:54.000Z

from spotdl.metadata.providers.spotify import ProviderSpotify from spotdl.metadata.providers.youtube import ProviderYouTube from spotdl.metadata.providers.youtube import YouTubeSearch

37

61

0.881081

21

185

7.761905

0.47619

0.184049

0.331288

0.496933

0.490798

0

0.07027

185

4

62

46.25

0.947674

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

f58db2e3a8108081fdad6ca36c2b07a1f84d614d

1,476

py

Python

_03_AttributesAndMethodsLab/_02_Integer.py

Andrey-V-Georgiev/PythonOOP

73aabdccace5ce7183c39e2f5674f7e17475b1cc

[ "MIT" ]

1

2021-06-30T10:34:38.000Z

_03_AttributesAndMethodsLab/_02_Integer.py

Andrey-V-Georgiev/PythonOOP

73aabdccace5ce7183c39e2f5674f7e17475b1cc

[ "MIT" ]

null

_03_AttributesAndMethodsLab/_02_Integer.py

Andrey-V-Georgiev/PythonOOP

73aabdccace5ce7183c39e2f5674f7e17475b1cc

[ "MIT" ]

null

from math import floor class Integer: def __init__(self, value): self.value = value @classmethod def from_float(cls, float_value): if isinstance(float_value, float): return cls(floor(float_value)) else: return 'value is not a float' @classmethod d...

25.448276

89

0.554201

185

1,476

4.254054

0.378378

0.045743

0.068615

0.043202

0.041931

0

0.025484

0.335366

1,476

57

90

25.894737

0.776758

0

0.272727

0

0.063008

0

1

0.136364

false

0.022727

0.386364

0.068182

0

null

0

null

0

1

0

f58e292660fbb4b40d7f4326ad34ea03b891aa42

324

py

Python

app/app/schemas/token.py

Tall-Programacion-FIME/backend

95b6934fd57086ffc2be3d9135732df3d240f694

[ "Apache-2.0" ]

null

app/app/schemas/token.py

Tall-Programacion-FIME/backend

95b6934fd57086ffc2be3d9135732df3d240f694

[ "Apache-2.0" ]

13

2021-03-04T22:59:54.000Z

2021-05-16T23:24:22.000Z

app/app/schemas/token.py

Tall-Programacion-FIME/backend

95b6934fd57086ffc2be3d9135732df3d240f694

[ "Apache-2.0" ]

1

2021-04-20T14:51:43.000Z

import datetime from typing import Optional from pydantic import BaseModel class TokenBase(BaseModel): access_token: str class Token(TokenBase): refresh_token: str class TokenData(BaseModel): username: Optional[str] = None class VerificationToken(BaseModel): user_id: int exp: datetime.datet...

14.727273

35

0.753086

38

324

6.342105

0.552632

0.06639

0.107884

0

0.182099

324

21

36

15.428571

0.909434

0

1

0

true

0

0.25

0

1

0

null

0

null

0

1

0

1

0

2

f58e82435946520f98ad569c02443f0eda8332d6

1,988

py

Python

bot/finance.py

kianhean/ShiokBot

948417ead579d7476350592f0a960c2c0ea8b757

[ "BSD-2-Clause" ]

6

2017-04-06T02:55:16.000Z

2020-01-27T05:14:12.000Z

bot/finance.py

kianhean/ShiokBot

948417ead579d7476350592f0a960c2c0ea8b757

[ "BSD-2-Clause" ]

13

2016-09-12T14:24:22.000Z

2021-10-22T01:19:43.000Z

bot/finance.py

kianhean/ShiokBot

948417ead579d7476350592f0a960c2c0ea8b757

[ "BSD-2-Clause" ]

1

2016-09-12T14:01:49.000Z

import json from urllib.request import urlopen import requests from bs4 import BeautifulSoup def get_sti(): # https://github.com/hongtaocai/googlefinance return '<a href="https://chart.finance.yahoo.com/t?s=%5eSTI&lang=en-SG&region=SG&width=300&height=180" >' def get_fx(): url = 'https://eservices.mas....

33.694915

153

0.639336

311

1,988

3.932476

0.379421

0.107931

0.098119

0.139002

0

0.059291

0.177062

1,988

58

154

34.275862

0.688264

0.040241

0

0.05

0

0.05

0.291645

0

1

0.075

false

0

0.1

0.025

0.25

0

null

0

null

0

1

0

f5915199b7c0be4872a450c1503f4eb928f9e20f

637

py

Python

dependencyinjection/internal/callsite_resolvers.py

Cologler/dependencyinjection-python

dc05c61571f10652d82929ebec4b255f109b840b

[ "MIT" ]

null

dependencyinjection/internal/callsite_resolvers.py

Cologler/dependencyinjection-python

dc05c61571f10652d82929ebec4b255f109b840b

[ "MIT" ]

null

dependencyinjection/internal/callsite_resolvers.py

Cologler/dependencyinjection-python

dc05c61571f10652d82929ebec4b255f109b840b

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (c) 2017~2999 - cologler <skyoflw@gmail.com> # ---------- # # ---------- from .common import LifeTime, IServiceProvider, ICallSiteResolver from .descriptors import CallableDescriptor class CallSiteResolver(ICallSiteResolver): def __init__(self, service_provider: IServiceProvi...

33.526316

98

0.726845

64

637

6.96875

0.59375

0.098655

0.127803

0

0.016729

0.155416

637

18

99

35.388889

0.812268

0.153846

0

1

0.222222

false

0

0.222222

0

0.666667

0

null

0

null

0

1

0

1

0

2

f5931d77f9a036d1b90d5e9b889749394d2eff5e

1,124

py

Python

pipeline/filterstories.py

Xirider/BookGen

6eaffa936aea3215944dbfbf7ec92398b6e44587

[ "MIT" ]

1

2021-05-31T09:40:19.000Z

pipeline/filterstories.py

Xirider/BookGen

6eaffa936aea3215944dbfbf7ec92398b6e44587

[ "MIT" ]

1

2021-06-30T14:35:22.000Z

pipeline/filterstories.py

Xirider/BookGen

6eaffa936aea3215944dbfbf7ec92398b6e44587

[ "MIT" ]

null

from joblib import Memory cachedir = "cache" memory = Memory(cachedir, verbose=10) # @memory.cache def filter_ff_stories(books, max_rating, min_words, max_words, min_chapters, max_chapters, max_books): print("filtering ff stories") ratings = {"K":1, "K+":2, "T":3, "M":4, "MA":5 } rating_number = ratings...

25.545455

102

0.572954

133

1,124

4.699248

0.413534

0.0704

0.0416

0.048

0

0.015152

0.295374

1,124

44

103

25.545455

0.77399

0.011566

0

0.142857

0

0.085586

0

1

0.035714

false

0

0.035714

0

0.107143

0.071429

0

null

0

null

0

1

0

f5936c772afa998f17b6206beacedcb9d549bb50

2,167

py

Python

GoAround/goaround.py

AJunque9/GoAround

1f432a6a80e057e818e2c2073d3bafebba49de48

[ "MIT" ]

6

2021-10-03T10:42:59.000Z

2022-01-05T05:25:57.000Z

GoAround/goaround.py

AJunque9/GoAround

1f432a6a80e057e818e2c2073d3bafebba49de48

[ "MIT" ]

null

GoAround/goaround.py

AJunque9/GoAround

1f432a6a80e057e818e2c2073d3bafebba49de48

[ "MIT" ]

1

2021-10-13T08:38:58.000Z

import sys import helpers.printer import helpers.parser import helpers.config import program.obfuscation import program.bypass modes = helpers.config.Modes bypass_methods = helpers.config.BypassMethods obfuscation_methods = helpers.config.ObfuscationMethods printer = helpers.printer.Printer() parser = helpers.parser....

29.283784

103

0.616059

241

2,167

5.414938

0.302905

0.039847

0.043678

0.016858

0.081226

0.042912

0

0.005863

0.291647

2,167

73

104

29.684932

0.8443

0.05353

0

0.233333

0

0.108398

0

1

0.033333

false

0.116667

0.1

0

0.133333

0.15

0

null

0

null

0

1

0

1

f594558a69e840af8885fc68a994d40b44b65eaf

1,169

py

Python

src/data/CIFAR10_utils.py

namanwahi/Transfer-Learning

93b9f664fd727a93e0b09b859a20d863602ec743

[ "MIT" ]

null

src/data/CIFAR10_utils.py

namanwahi/Transfer-Learning

93b9f664fd727a93e0b09b859a20d863602ec743

[ "MIT" ]

null

src/data/CIFAR10_utils.py

namanwahi/Transfer-Learning

93b9f664fd727a93e0b09b859a20d863602ec743

[ "MIT" ]

null

import torch import torchvision import torchvision.transforms as transforms from torch.utils.data.sampler import SubsetRandomSampler from torch.utils.data import DataLoader import os path = os.path.abspath(__file__) dir_path = os.path.dirname(path) resnet_18_default = 224 def _get_dataset(resize=resnet_18_default): ...

33.4

107

0.718563

151

1,169

5.390728

0.437086

0.014742

0.018428

0.02457

0.117936

0.014742

0

0.033333

0.153122

1,169

34

108

34.382353

0.788889

0.044482

0

0.035874

0

1

0.115385

false

0

0.230769

0.038462

0.5

0

null

0

null

0

1

0

f5970041908938ed814405d6c8377946dc2070bf

3,680

py

Python

SVHN/svhn.py

Tenant/Densenet-Tensorflow

27dca5a3f1a18ae070a8a6387c8a36b2a4be197e

[ "MIT" ]

null

SVHN/svhn.py

Tenant/Densenet-Tensorflow

27dca5a3f1a18ae070a8a6387c8a36b2a4be197e

[ "MIT" ]

null

SVHN/svhn.py

Tenant/Densenet-Tensorflow

27dca5a3f1a18ae070a8a6387c8a36b2a4be197e

[ "MIT" ]

null

from scipy import io import numpy as np import random import tensorflow as tf class_num = 10 image_size = 32 img_channels = 3 def OneHot(label,n_classes): label=np.array(label).reshape(-1) label=np.eye(n_classes)[label] return label def prepare_data(): classes = 10 data1 = io.loadmat('./data/...

32.857143

108

0.6

534

3,680

3.902622

0.170412

0.048944

0.020154

0.042226

0.144434

0.018234

0

0.04681

0.216304

3,680

112

109

32.857143

0.675798

0.045924

0

0.075949

0

0.04675

0.018529

0

1

0.075949

false

0

0.050633

0

0.202532

0.025316

0

null

0

null

0

1

0

f59759138fa73fcc525ff95be2e388e6c99396f6

530

py

Python

app/models/user.py

johnshumon/fastapi-boilerplate

f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc

[ "MIT" ]

null

app/models/user.py

johnshumon/fastapi-boilerplate

f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc

[ "MIT" ]

null

app/models/user.py

johnshumon/fastapi-boilerplate

f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc

[ "MIT" ]

null

""" User models module """ from sqlalchemy import Column, Integer, String from app.models import Base class User(Base): """User class""" id: int = Column(Integer, primary_key=True, index=True) firstname: str = Column(String(50), nullable=False, index=True) lastname: str = Column(String(50), nullabl...

27.894737

79

0.696226

71

530

5.183099

0.408451

0.122283

0.203804

0.138587

0.461957

0.211957

0

0.027088

0.164151

530

18

80

29.444444

0.803612

0.054717

0

1

0

true

0.111111

0.222222

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f5987f75714e27b31f8445c59b2b8df50b29383c

782

py

Python

oops_fhir/r4/value_set/parent_relationship_codes.py

Mikuana/oops_fhir

77963315d123756b7d21ae881f433778096a1d25

[ "MIT" ]

null

oops_fhir/r4/value_set/parent_relationship_codes.py

Mikuana/oops_fhir

77963315d123756b7d21ae881f433778096a1d25

[ "MIT" ]

null

oops_fhir/r4/value_set/parent_relationship_codes.py

Mikuana/oops_fhir

77963315d123756b7d21ae881f433778096a1d25

[ "MIT" ]

null

from pathlib import Path from fhir.resources.valueset import ValueSet as _ValueSet from oops_fhir.utils import ValueSet from oops_fhir.r4.code_system.v3_role_code import v3RoleCode __all__ = ["ParentRelationshipCodes"] _resource = _ValueSet.parse_file(Path(__file__).with_suffix(".json")) class ParentRelationsh...

23

76

0.751918

99

782

5.747475

0.666667

0.049209

0.056239

0.070299

0

0.013953

0.175192

782

33

77

23.69697

0.868217

0.468031

0

0.069136

0.05679

0

0.030303

0

1

0

false

0.1

0.4

0

0.6

0

null

0

null

0

1

0

1

0

1

0

4

f59c2ee308a2569240f5244e69e497fec60a9ffe

253

py

Python

setting.py

JamesPerlman/Dain-App

f589abdca8309cfdb6dd106da7c7c4613d152c72

[ "MIT" ]

688

2020-12-02T18:02:21.000Z

2022-03-31T09:56:14.000Z

setting.py

JamesPerlman/Dain-App

f589abdca8309cfdb6dd106da7c7c4613d152c72

[ "MIT" ]

29

2020-12-03T00:21:25.000Z

2021-12-04T22:32:42.000Z

setting.py

JamesPerlman/Dain-App

f589abdca8309cfdb6dd106da7c7c4613d152c72

[ "MIT" ]

88

2020-12-03T00:13:29.000Z

2022-03-26T16:03:38.000Z

counter = 0 interpolations = None padding = None def AddCounter(tag): global counter #print("\nSetting:\n" +tag +": " + str(counter) + "\n") counter += 1 def SetPad(pad): global padding padding = pad def GetPad(): global padding return padding

15.8125

56

0.679842

33

253

5.212121

0.545455

0.151163

0

0.009662

0.181818

253

15

57

16.866667

0.821256

0.213439

0

0.166667

0

1

0.25

false

0

0.333333

0

null

0

null

0

1

0

1

f59da655c4bae4aa2a9b07d54d040a1c00439910

1,540

py

Python

bgjobs/plugins.py

holtgrewe/sodar_core

116c5c8abc1dea483a640ba68af6d5cf4d27c8d7

[ "MIT" ]

null

bgjobs/plugins.py

holtgrewe/sodar_core

116c5c8abc1dea483a640ba68af6d5cf4d27c8d7

[ "MIT" ]

null

bgjobs/plugins.py

holtgrewe/sodar_core

116c5c8abc1dea483a640ba68af6d5cf4d27c8d7

[ "MIT" ]

null

"""Code related to ``django-plugins``. First, it creates a ``ProjectAppPluginPoint`` for the ``bgjobs`` app. Second, it creates a new plugin point for the registering ``BackgroundJob`` specializations. """ from djangoplugins.point import PluginPoint from projectroles.plugins import ProjectAppPluginPoint from .urls ...

26.551724

77

0.718831

178

1,540

6.140449

0.44382

0.027447

0.018298

0.036597

0.056725

0

0.002439

0.201299

1,540

57

78

27.017544

0.886179

0.497403

0

0.184885

0.033738

0

1

0

false

0

0.157895

0

1

0

null

0

null

0

1

0

1

f5a27b850295f14cce9d9e2cff15b6524fbbecf8

4,562

py

Python

cogs/automod.py

ZeroTwo36/midna

f78591baacdd32386d9155cb7728de7384016361

[ "MIT" ]

1

2022-01-18T09:53:34.000Z

cogs/automod.py

ZeroTwo36/midna

f78591baacdd32386d9155cb7728de7384016361

[ "MIT" ]

null

cogs/automod.py

ZeroTwo36/midna

f78591baacdd32386d9155cb7728de7384016361

[ "MIT" ]

null

import discord as nextcord import asyncio from discord.ext import commands import json import time import typing def log(*,text): ... class AutoMod(commands.Cog): def __init__(self,bot): self.bot=bot self._cd = commands.CooldownMapping.from_cooldown(5, 5, commands.BucketType.membe...

38.016667

153

0.622534

583

4,562

4.806175

0.283019

0.053533

0.044968

0.057816

0.450749

0.411492

0.377587

0.287652

0

0.003257

0.259754

4,562

119

154

38.336134

0.826177

0.010083

0

0.355556

0

0.17627

0

1

0.044444

false

0

0.066667

0

0.133333

0.011111

0

null

0

null

0

1

0

f5a40afb92b821bdbd1bca8cea58ac0b9702d2e6

960

py

Python

task07.py

G00387867/pands-problems

01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c

[ "MIT" ]

null

task07.py

G00387867/pands-problems

01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c

[ "MIT" ]

null

task07.py

G00387867/pands-problems

01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c

[ "MIT" ]

null

# Adam # A program that reads in a text # file and outputs the number of e's it contains # The program takes the filename from # an argument on the command line. # I found information on this website: # https://www.sanfoundry.com/python-program-read-file-counts-number/ #fname = input("Enter file name: ") #l = input(...

20.869565

68

0.558333

143

960

3.748252

0.447552

0.014925

0.05597

0.070896

0.395522

0.309701

0

0.006211

0.329167

960

45

69

21.333333

0.826087

0.596875

0

0.052342

0

1

0

false

0

0.1

0

null

0

null

0

1

0

f5a59287ceaf7b3b0006e335abd2aae06f9ad302

3,936

py

Python

texext/tests/test_tinypages.py

effigies/texext

545ecf3715ab43bfb95859861fbb17af1fef512d

[ "BSD-2-Clause" ]

null

texext/tests/test_tinypages.py

effigies/texext

545ecf3715ab43bfb95859861fbb17af1fef512d

[ "BSD-2-Clause" ]

null

texext/tests/test_tinypages.py

effigies/texext

545ecf3715ab43bfb95859861fbb17af1fef512d

[ "BSD-2-Clause" ]

null

""" Tests for tinypages build using sphinx extensions """ from os.path import (join as pjoin, dirname, isdir) import sphinx SPHINX_ge_1p5 = sphinx.version_info[:2] >= (1, 5) from sphinxtesters import PageBuilder HERE = dirname(__file__) PAGES = pjoin(HERE, 'tinypages') from texext.tests.test_plotdirective import f...

37.485714

71

0.54497

430

3,936

4.85814

0.386047

0.038775

0.028722

0.022978

0.154141

0.101484

0.067018

0

0.01037

0.314024

3,936

104

72

37.846154

0.763333

0.055132

0

0.206897

0

0.401295

0.057713

0

0.045977

1

0.034483

false

0

0.057471

0

0.126437

0.011494

0

null

0

null

0

1

0

f5a8efb033fff75dd7f358a028f0ce20386e8ec9

3,708

py

Python

core.py

marcolcl/django-toolkit

f425cccb6f55f3afce4326e7e79770e5c36c9646

[ "MIT" ]

1

2021-04-07T14:25:01.000Z

core.py

marcolcl/django-toolkit

f425cccb6f55f3afce4326e7e79770e5c36c9646

[ "MIT" ]

5

2021-03-30T14:08:53.000Z

2021-09-22T19:29:42.000Z

core.py

marcolcl/django-toolkit

f425cccb6f55f3afce4326e7e79770e5c36c9646

[ "MIT" ]

null

import logging from django.core.exceptions import ObjectDoesNotExist from django.db import transaction from django.http import HttpRequest from rest_framework.exceptions import NotFound from rest_framework.test import APIRequestFactory from rest_framework.views import exception_handler, APIView from typing import List,...

33.107143

128

0.702805

462

3,708

5.502165

0.365801

0.035799

0.033438

0.030685

0.049567

0

0.005189

0.220334

3,708

111

129

33.405405

0.874092

0.423948

0

0.028813

0

1

0.061224

false

0.020408

0.163265

0

0.306122

0

null

0

null

0

1

0

f5aa196ccf6037cd4fcdad669c9f9252c8778f6e

436

py

Python

atcoder/past/past201912_f.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

1

2018-11-12T15:18:55.000Z

atcoder/past/past201912_f.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

atcoder/past/past201912_f.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

S = input() arr = [] now = [] counter = 0 for s in S: now.append(s.lower()) if s.isupper(): if counter == 0: counter += 1 else: arr.append(''.join(now)) now = [] counter = 0 arr.sort() for word in arr: for i, s in enumerate(word): if i ...

19.818182

40

0.428899

59

436

3.169492

0.40678

0.128342

0.117647

0

0.023077

0.40367

436

21

41

20.761905

0.696154

0

0.285714

0

1

0

false

0

0.142857

0

null

0

null

0

1

0

f5aa1cc085abe91e5e9d7da0530662e853080933

738

py

Python

lesson13n2/states/out.py

muzudho/py-state-machine-practice

e31c066f4cf142b6b6c5ff273b56a0f89428c59e

[ "MIT" ]

null

lesson13n2/states/out.py

muzudho/py-state-machine-practice

e31c066f4cf142b6b6c5ff273b56a0f89428c59e

[ "MIT" ]

null

lesson13n2/states/out.py

muzudho/py-state-machine-practice

e31c066f4cf142b6b6c5ff273b56a0f89428c59e

[ "MIT" ]

null

from lesson12_projects.house3.data.const import E_TURNED_KNOB, MSG_TURN_KNOB, E_FAILED class OutState: def update(self, req): self.on_entry(req) # 入力 msg = self.on_trigger(req) # 外に居ます。 'Turn knob' とメッセージを送ってくるのが正解です if msg == MSG_TURN_KNOB: self.on_turned_kn...

21.085714

86

0.585366

100

738

4.09

0.4

0.085575

0.05379

0.05868

0

0.006024

0.325203

738

34

87

21.705882

0.815261

0.054201

0

0.095238

0

1

0.238095

false

0.095238

0.047619

0.47619

0

null

0

null

0

1

0

1

0

2

190f3d0f2aa0d41a590c2d4d36fe77e3833762f3

2,171

py

Python

setup.py

biodatageeks/pysequila

2fb3b83f008e6b7f874648ea02e7ca307d8519d3

[ "Apache-2.0" ]

1

2020-10-14T23:02:04.000Z

setup.py

biodatageeks/pysequila

2fb3b83f008e6b7f874648ea02e7ca307d8519d3

[ "Apache-2.0" ]

9

2020-11-07T23:33:28.000Z

2021-12-13T09:22:07.000Z

setup.py

biodatageeks/pysequila

2fb3b83f008e6b7f874648ea02e7ca307d8519d3

[ "Apache-2.0" ]

1

2020-11-07T22:35:40.000Z

# -*- coding: utf-8 -*- """setup.py""" import os import sys from setuptools import setup from setuptools.command.test import test as TestCommand class Tox(TestCommand): user_options = [('tox-args=', 'a', 'Arguments to pass to tox')] def initialize_options(self): TestCommand.initialize_options(self) ...

28.194805

76

0.64947

247

2,171

5.582996

0.493927

0.068891

0.090645

0.037708

0

0.008182

0.211884

2,171

76

77

28.565789

0.797779

0.014279

0

0.305061

0.009841

0

1

0.067797

false

0.016949

0.101695

0

0.220339

0

null

0

null

0

1

0

1910c0a5070edd02fb3f35021e3104c2486a91bb

2,266

py

Python

binaryblob.py

rikusalminen/trimuncher

bdf534fdf382c750e0ec7a6031433de88014e656

[ "Zlib" ]

1

2018-11-06T05:11:08.000Z

binaryblob.py

rikusalminen/trimuncher

bdf534fdf382c750e0ec7a6031433de88014e656

[ "Zlib" ]

null

binaryblob.py

rikusalminen/trimuncher

bdf534fdf382c750e0ec7a6031433de88014e656

[ "Zlib" ]

null

from sys import stdin, stdout from struct import pack, unpack def float2half(float_val): f = unpack('I', pack('f', float_val))[0] if f == 0: return 0 if f == 0x80000000: return 0x8000 return ((f>>16)&0x8000) | ((((f&0x7f800000)-0x38000000)>>13)&0x7c00) | ((f>>13)&0x03ff) def half2float(h): if h ==...

35.40625

91

0.621359

335

2,266

4.071642

0.235821

0.123167

0.082111

0.048387

0.299853

0.247801

0.171554

0.083578

0.061584

0

0.068627

0.234775

2,266

63

92

35.968254

0.717993

0

0.078431

0

0.011474

0

0.041924

0

0.058824

0

null

0

0.039216

null

0

null

0

null

0

1

0

1

1910e99d0b7143a24de2db38d697e59e51df210d

2,234

py

Python

lib/piservices/remote/integration.py

creative-workflow/pi-setup

d6d28cb8d34ef71b1e8ac95dd94099bfad08837a

[ "MIT" ]

1

2020-04-25T00:55:45.000Z

lib/piservices/remote/integration.py

creative-workflow/pi-setup

d6d28cb8d34ef71b1e8ac95dd94099bfad08837a

[ "MIT" ]

4

2015-05-28T23:20:13.000Z

2015-05-28T23:24:01.000Z

lib/piservices/remote/integration.py

creative-workflow/pi-setup

d6d28cb8d34ef71b1e8ac95dd94099bfad08837a

[ "MIT" ]

null

from config import * from template import * from dictasobject import DictAsObject class RemoteFileHelper: def __init__(self, service): self.service = service self.config = DictAsObject({ 'ini' : self.config_ini, 'parser' : self.config_parser, 'shellvars' : self.config_shellvars,...

39.192982

83

0.656222

249

2,234

5.662651

0.164659

0.156028

0.059574

0.06383

0.553901

0.489362

0.404255

0.343262

0

0.243062

2,234

56

84

39.892857

0.833826

0

0.204545

0

0.013876

0

1

0.204545

false

0

0.068182

0.545455

0

null

0

null

0

1

0

1

0

2

191159a3e3b8327371261a5ae76fdabd0024bab8

4,400

py

Python

src/architecture/cartpole_target.py

ginevracoal/adversarialGAN

7a38e037a5ddbbe0bb4daed35fcb0e6fbf9b311e

[ "CC-BY-4.0" ]

1

2020-12-15T03:03:47.000Z

src/architecture/cartpole_target.py

ginevracoal/adversarialGAN

7a38e037a5ddbbe0bb4daed35fcb0e6fbf9b311e

[ "CC-BY-4.0" ]

null

src/architecture/cartpole_target.py

ginevracoal/adversarialGAN

7a38e037a5ddbbe0bb4daed35fcb0e6fbf9b311e

[ "CC-BY-4.0" ]

1

2020-11-05T09:35:11.000Z

import os import torch import torch.nn as nn import torch.optim as optim from torch.utils.tensorboard import SummaryWriter from tqdm import tqdm import matplotlib.pyplot as plt import architecture.default from architecture.default import Defender DEBUG=False BATCH_SIZE=32 FIXED_POLICY=False NORMALIZE=False K=10 PENAL...

30.769231

114

0.606136

541

4,400

4.731978

0.216266

0.052734

0.058594

0.078125

0.68125

0.66875

0.646094

0.621094

0

0.005799

0.294545

4,400

143

115

30.769231

0.818943

0.034091

0

0.589474

0

0.004247

0

1

0.052632

false

0

0.094737

0

0.2

0.021053

0

null

0

1

0

null

0

1

1911d18a99f00abe9dd822c30eace393500445cb

7,785

py

Python

tictactoe.py

smrsassa/tic-tac-toe-pygame

36f738fb94a3a138ef2aa21d409558e3d1680526

[ "MIT" ]

1

2019-10-21T18:19:12.000Z

tictactoe.py

smrsassa/tic-tac-toe-pygame

36f738fb94a3a138ef2aa21d409558e3d1680526

[ "MIT" ]

null

tictactoe.py

smrsassa/tic-tac-toe-pygame

36f738fb94a3a138ef2aa21d409558e3d1680526

[ "MIT" ]

null

import pygame import random from time import sleep white = (255, 255, 255) black = (0, 0, 0) red = (255, 0, 0) green = (0, 255, 0) blue = (0, 0, 255) pygame.init() largura = 320 altura = 320 fundo = pygame.display.set_mode((largura, altura)) pygame.display.set_caption("TicTacToe") def texto(msg, cor, tam, x, y): ...

31.26506

116

0.491715

1,032

7,785

3.699612

0.119186

0.096647

0.044526

0.012572

0.608172

0.536407

0.452331

0.322944

0.295443

0.248298

0

0.111527

0.382659

7,785

248

117

31.391129

0.682896

0

0.451327

0

0.008092

0

1

0.022124

false

0

0.013274

0

0.035398

0

null

0

null

0

1

0

19128f435521b2a41c0130fc202af247adfc091d

2,332

py

Python

src/plugins/notice.py

napalmpiri/irkotr0id

8125c0119038ddccdf6f0a587fa9eb4a0f66821d

[ "Beerware" ]

7

2017-10-30T17:12:51.000Z

2021-03-03T23:00:35.000Z

src/plugins/notice.py

napalmpiri/irkotr0id

8125c0119038ddccdf6f0a587fa9eb4a0f66821d

[ "Beerware" ]

1

2017-09-20T13:34:56.000Z

src/plugins/notice.py

napalmpiri/irkotr0id

8125c0119038ddccdf6f0a587fa9eb4a0f66821d

[ "Beerware" ]

7

2017-09-16T10:39:20.000Z

2018-02-28T19:43:57.000Z

#/usr/bin/env python # -*- coding: Utf8 -*- import event class Plugin: def __init__(self, client): self.client = client self.notices = {} #:nisay!~nisay@53.ip-192-99-70.net PRIVMSG #testbobot :!notice user message @event.privmsg() def get_notice(self, e): target = e.values['t...

33.797101

80

0.51458

271

2,332

4.354244

0.313653

0.101695

0.071186

0.086441

0.235593

0.161017

0.054237

0

0.010645

0.355489

2,332

68

81

34.294118

0.774451

0.048456

0

0.236364

0

0.10158

0

null

0

0.018182

null

0

null

0

null

0

1

0

1

191359000d3e32159cc42150dd476b64da855e66

5,794

py

Python

pyec/distribution/bayes/parser.py

hypernicon/pyec

7072835c97d476fc45ffc3b34f5c3ec607988e6d

[ "MIT" ]

2

2015-03-16T21:18:27.000Z

2017-10-09T19:59:24.000Z

pyec/distribution/bayes/parser.py

hypernicon/pyec

7072835c97d476fc45ffc3b34f5c3ec607988e6d

[ "MIT" ]

null

pyec/distribution/bayes/parser.py

hypernicon/pyec

7072835c97d476fc45ffc3b34f5c3ec607988e6d

[ "MIT" ]

null

""" Copyright (C) 2012 Alan J Lockett Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute,...

43.893939

460

0.576458

688

5,794

4.848837

0.287791

0.042866

0.041367

0.041966

0.158873

0.107614

0.056954

0.020384

0

0.008017

0.28961

5,794

132

461

43.893939

0.802478

0.197791

0

0.097826

0

0.028067

0

1

0.032609

false

0

0.032609

0

0.108696

0

null

0

null

0

1

0

1916221a240fca8e366955bf9b55225db064e9c4

169

py

Python

Desafio25.py

sergioboff/Desafios-Curso-em-Video

f876396635b12c00bdd9523758364bbebfd70ae0

[ "MIT" ]

null

Desafio25.py

sergioboff/Desafios-Curso-em-Video

f876396635b12c00bdd9523758364bbebfd70ae0

[ "MIT" ]

null

Desafio25.py

sergioboff/Desafios-Curso-em-Video

f876396635b12c00bdd9523758364bbebfd70ae0

[ "MIT" ]

null

nome = str(input('Digite seu nome completo: ')).strip() if 'silva' in nome.lower(): print('Sim, seu nome tem Silva.') else: print('Não , seu nome não tem Silva')

33.8

55

0.64497

27

169

4.037037

0.592593

0.192661

0

0.183432

169

5

56

33.8

0.789855

0

0.488235

0

1

0

false

0

0.4

1

0

null

0

1

0

null

0

2

19179562beab192ca5fca3ff7c055101546a8163

1,527

py

Python

migrations/versions/8b664608a7c7_.py

wangyuan02605/webcloud

e57a2713125b751ee8bb8da29b789e2044e789aa

[ "MIT" ]

5

2021-12-13T14:52:08.000Z

2022-03-15T08:59:32.000Z

migrations/versions/8b664608a7c7_.py

wangyuan02605/webcloud

e57a2713125b751ee8bb8da29b789e2044e789aa

[ "MIT" ]

null

migrations/versions/8b664608a7c7_.py

wangyuan02605/webcloud

e57a2713125b751ee8bb8da29b789e2044e789aa

[ "MIT" ]

1

2021-04-26T06:08:35.000Z

"""empty message Revision ID: 8b664608a7c7 Revises: ec21e19825ff Create Date: 2021-06-01 14:37:20.327189 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '8b664608a7c7' down_revision = 'ec21e19825ff' branch_labels = None depends_on = None def upgrade(): # ...

35.511628

80

0.675835

201

1,527

5.079602

0.40796

0.094025

0.204701

0.061704

0.343781

0.261508

0.158668

0

0.04958

0.141454

1,527

42

81

36.357143

0.729214

0.193189

0

0.143096

0

1

0.083333

false

0

0.083333

0

0.166667

0

null

0

1

0

null

0

1

191840622ba4f376a7f93c8724514c6d2f52d3bb

1,393

py

Python

africa/views.py

Mutugiii/Pinstagram

40436facfb068eea135c6dffcdaf85028ff803c1

[ "MIT" ]

null

africa/views.py

Mutugiii/Pinstagram

40436facfb068eea135c6dffcdaf85028ff803c1

[ "MIT" ]

6

2021-03-30T13:09:41.000Z

2021-09-08T01:50:42.000Z

africa/views.py

Mutugiii/Pinstagram

40436facfb068eea135c6dffcdaf85028ff803c1

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse from django.template import loader from .models import Location,Category,Image def index(request): '''Main view function for the start page''' images = Image.get_images() template = loader.get_template('index.html') context = { ...

30.955556

67

0.65542

153

1,393

5.875817

0.30719

0.03337

0.05673

0.083426

0.173526

0

0.233309

1,393

44

68

31.659091

0.84176

0.08112

0

0.257143

0

0.114715

0

1

0.085714

false

0

0.114286

0

0.314286

0

null

0

null

0

1

0

1918493233bb0f6b63771c2685165671159e3808

509

py

Python

src/chapter4/exercise6.py

group6BCS1/BCS-2021

272b1117922163cde03901cfdd82f8e0cfab9a67

[ "MIT" ]

null

src/chapter4/exercise6.py

group6BCS1/BCS-2021

272b1117922163cde03901cfdd82f8e0cfab9a67

[ "MIT" ]

null

src/chapter4/exercise6.py

group6BCS1/BCS-2021

272b1117922163cde03901cfdd82f8e0cfab9a67

[ "MIT" ]

null

x = (input("enters hours")) y = (input("enters rate")) def compute_pay(hours, rate): """The try block ensures that the user enters a value between from 0-1 otherwise an error message pops up""" try: hours = float(x) rate = float(y) if hours <= 40: pay= float(hours * rate...

23.136364

63

0.563851

71

509

4.014085

0.535211

0.077193

0

0.028818

0.318271

509

21

64

24.238095

0.792507

0.200393

0

0.090452

0

1

0.066667

false

0

0.2

0.066667

0

null

0

null

0

1

0

1918ab57423bec266c18fa1bdfea020adfc67165

628

py

Python

front_end/create_data_natalia_icassp.py

adiyoss/DeepVOT

6bbda01fc5a4f93c92fccba2b9dacee511533244

[ "MIT" ]

6

2016-10-16T14:23:44.000Z

2021-05-06T12:00:08.000Z

front_end/create_data_natalia_icassp.py

adiyoss/DeepVOT

6bbda01fc5a4f93c92fccba2b9dacee511533244

[ "MIT" ]

3

2019-10-17T19:21:45.000Z

2020-08-06T10:29:27.000Z

front_end/create_data_natalia_icassp.py

adiyoss/DeepVOT

6bbda01fc5a4f93c92fccba2b9dacee511533244

[ "MIT" ]

8

2016-07-02T04:38:07.000Z

2021-08-31T08:25:19.000Z

# import argparse # # # def main(audio_path, textgrid_path, output_path): # data = list() # for # print(1) # # if __name__ == "__main__": # # -------------MENU-------------- # # # command line arguments # parser = argparse.ArgumentParser() # parser.add_argument("audio_path", help="The path t...

33.052632

83

0.638535

76

628

5

0.434211

0.071053

0.134211

0.118421

0.15

0.105263

0

0.001969

0.191083

628

19

84

33.052632

0.746063

0.933121

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

1918ecc1cb7ed0d73d2876e4710c8c0ffca95358

557

py

Python

phone_numbers.py

EdilOndong/beginner_code

13b05afb25ec2ba4396f5fbe751febe7cb4bdabb

[ "Unlicense" ]

1

2021-09-19T13:33:33.000Z

phone_numbers.py

EdilOndong/beginner_code

13b05afb25ec2ba4396f5fbe751febe7cb4bdabb

[ "Unlicense" ]

null

phone_numbers.py

EdilOndong/beginner_code

13b05afb25ec2ba4396f5fbe751febe7cb4bdabb

[ "Unlicense" ]

null

import phonenumbers from phonenumbers import geocoder, carrier def get_information_about_number(phone_numbers): number = phonenumbers.parse(phone_numbers, "en") phone_location = geocoder.description_for_number(number, "en") phone_carrier = carrier.name_for_number(number, "en") print("The Locat...

39.785714

125

0.732496

69

557

5.565217

0.449275

0.09375

0.098958

0.130208

0

0.174147

557

14

126

39.785714

0.834783

0

0.201835

0

1

0.1

false

0

0.2

0

0.3

0.1

0

null

0

null

0

1

0

191b02340ae1fb3a92d5b7d4ecfd3b82e78caed3

3,494

py

Python

src/templates/camera.py

coherentsolutionsinc/issoft-insights-2019-sdc-carla-ros

f6d3e162888bd79d59b771c82ff028df0f70ae11

[ "MIT" ]

8

2019-06-04T16:21:07.000Z

2021-09-05T07:24:20.000Z

src/templates/camera.py

coherentsolutionsinc/issoft-insights-2019-sdc-carla-ros

f6d3e162888bd79d59b771c82ff028df0f70ae11

[ "MIT" ]

null

src/templates/camera.py

coherentsolutionsinc/issoft-insights-2019-sdc-carla-ros

f6d3e162888bd79d59b771c82ff028df0f70ae11

[ "MIT" ]

1

2019-06-21T14:37:18.000Z

# TODO: 1. Add indicator that node should be run by python # line above indicates that python is responsible for running this node import os import csv import rospy import numpy as np import pygame from utilities import pipline import cv2 from cv_bridge import CvBridge, CvBridgeError from sensor_msgs.msg import Im...

30.920354

121

0.642244

450

3,494

4.891111

0.388889

0.020445

0.022717

0.040891

0.122672

0.101772

0.080872

0.040891

0

0.010922

0.292501

3,494

113

122

30.920354

0.87945

0.360904

0

0.068966

0

0.066667

0

0.00885

0

1

0.103448

false

0.017241

0.155172

0

0.293103

0

null

0

null

0

1

0

191e560813185fd516419069f86e8ed6f0ccdaf4

393

py

Python

Server APP/epl/rest/migrations/0012_auto_20180201_2304.py

seanjohn85/Premier-League

61c1406733e9c6fb282f8a4544a2f16cd6ff80a0

[ "MIT" ]

null

Server APP/epl/rest/migrations/0012_auto_20180201_2304.py

seanjohn85/Premier-League

61c1406733e9c6fb282f8a4544a2f16cd6ff80a0

[ "MIT" ]

null

Server APP/epl/rest/migrations/0012_auto_20180201_2304.py

seanjohn85/Premier-League

61c1406733e9c6fb282f8a4544a2f16cd6ff80a0

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-02-01 23:04 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('rest', '0011_auto_20180201_2256'), ] operations = [ migrations.RenameModel( ...

19.65

46

0.615776

43

393

5.395349

0.837209

0

0.111498

0.26972

393

19

47

20.684211

0.696864

0.167939

0

1

0

0.12963

0.070988

0

1

0

false

0

0.166667

0

0.416667

0

null

0

1

0

null

0

1

191ea83d06729e5bde9055413df2bd0a44ff8fe7

2,669

py

Python

plugins/beacon/alerta_beacon.py

ernadhalilovic/alerta-contrib

e12b5cf1e7f5913f641758032ca0d426c7eb8a08

[ "MIT" ]

null

plugins/beacon/alerta_beacon.py

ernadhalilovic/alerta-contrib

e12b5cf1e7f5913f641758032ca0d426c7eb8a08

[ "MIT" ]

null

plugins/beacon/alerta_beacon.py

ernadhalilovic/alerta-contrib

e12b5cf1e7f5913f641758032ca0d426c7eb8a08

[ "MIT" ]

null

import logging import os import json import requests try: from alerta.plugins import app # alerta >= 5.0 except ImportError: from alerta.app import app # alerta < 5.0 from alerta.plugins import PluginBase LOG = logging.getLogger('alerta.plugins.beacon') BEACON_HEADERS = { 'Content-Type': 'applicati...

35.118421

104

0.573248

291

2,669

5.092784

0.381443

0.032389

0.05668

0.040486

0.064103

0

0.024285

0.305732

2,669

75

105

35.586667

0.775499

0.067066

0

0.122807

0

0.18101

0.008485

0

1

0.070175

false

0

0.140351

0.035088

0.280702

0

null

0

null

0

1

0

1923272d7be3c0492ef9a0ede3d5a0e3b7f1d272

5,542

py

Python

pyscriptman/hosts/host.py

reap2sow1/pyscriptman

2020111097e846c3fb6c4669d67de05ee3ef979a

[ "MIT" ]

null

pyscriptman/hosts/host.py

reap2sow1/pyscriptman

2020111097e846c3fb6c4669d67de05ee3ef979a

[ "MIT" ]

null

pyscriptman/hosts/host.py

reap2sow1/pyscriptman

2020111097e846c3fb6c4669d67de05ee3ef979a

[ "MIT" ]

null

"""The abstract class module for all hosts.""" # Standard Library Imports from abc import ABC, abstractmethod, abstractclassmethod # Third Party Imports # Local Application Imports from util.helpers import get_typeof_repo_names from util.message import Message class Host(ABC): """The abstract class for all host...

28.27551

83

0.616925

624

5,542

5.267628

0.296474

0.043809

0.056891

0.063888

0.165196

0.1223

0.101612

0.081533

0.062063

0

0.302959

5,542

195

84

28.420513

0.850893

0.508481

0

0.1875

0

0.005558

0

1

0.25

false

0

0.0625

0

0.5

0

null

0

null

0

1

0

1

192369f557f40b35dc6e1a446089e36a7716438d

488

py

Python

discovery-provider/src/models/reward_manager.py

AudiusProject/audius-protocol

0315c31402121b24faa039e93cea8869d5b80743

[ "Apache-2.0" ]

429

2019-08-14T01:34:07.000Z

2022-03-30T06:31:38.000Z

discovery-provider/src/models/reward_manager.py

AudiusProject/audius-protocol

0315c31402121b24faa039e93cea8869d5b80743

[ "Apache-2.0" ]

998

2019-08-14T01:52:37.000Z

2022-03-31T23:17:22.000Z

discovery-provider/src/models/reward_manager.py

AudiusProject/audius-protocol

0315c31402121b24faa039e93cea8869d5b80743

[ "Apache-2.0" ]

73

2019-10-04T04:24:16.000Z

2022-03-24T16:27:30.000Z

from sqlalchemy import ( Column, Integer, String, DateTime, ) from .models import Base class RewardManagerTransaction(Base): __tablename__ = "reward_manager_txs" signature = Column(String, nullable=False, primary_key=True) slot = Column(Integer, nullable=False) created_at = Column(DateT...

25.684211

64

0.719262

54

488

6.240741

0.537037

0.115727

0

0.170082

488

19

65

25.684211

0.832099

0

0.03681

0

1

0.055556

false

0

0.111111

0.055556

0.5

0

null

0

null

0

1

0

1924e772ac06a1b05910f40c7a40911d19ba34ea

2,326

py

Python

plugins/roll.py

Cyame/OkayuTweetBot

5ca257f2faa622f5b88cecc95522f2114e5717fc

[ "MIT" ]

3

2020-04-10T16:47:25.000Z

2020-05-17T14:44:47.000Z

plugins/roll.py

Cyame/OkayuTweetBot

5ca257f2faa622f5b88cecc95522f2114e5717fc

[ "MIT" ]

null

plugins/roll.py

Cyame/OkayuTweetBot

5ca257f2faa622f5b88cecc95522f2114e5717fc

[ "MIT" ]

1

2020-04-12T09:38:22.000Z

from nonebot import on_command, CommandSession,permission as perm import asyncio import traceback from helper import getlogger,msgSendToBot,CQsessionToStr,data_read,data_save from module.roll import match_roll logger = getlogger(__name__) __plugin_name__ = 'ROLL骰' __plugin_usage__ = r""" roll命令 """ #预处理 def headdeal(se...

32.305556

87

0.602322

282

2,326

4.812057

0.407801

0.097273

0.025792

0.01916

0.179808

0.140015

0.06927

0

0.024144

0.234308

2,326

72

88

32.305556

0.737788

0.019347

0

0.095238

0

0.138779

0.02152

0.015873

0

1

0.015873

false

0

0.079365

0

0.190476

0

null

0

null

0

1

0

1925e952156fee34defbc265e2d492362c1470a4

384

py

Python

wip/ray/serve/archive/serve-dag-client.py

nitish-raj/data-science-on-aws

b760805d28f8375094ce83aee849de8b9d3382a2

[ "Apache-2.0" ]

42

2022-02-27T16:16:57.000Z

2022-03-30T20:11:05.000Z

wip/ray/serve/archive/serve-dag-client.py

nitish-raj/data-science-on-aws

b760805d28f8375094ce83aee849de8b9d3382a2

[ "Apache-2.0" ]

null

wip/ray/serve/archive/serve-dag-client.py

nitish-raj/data-science-on-aws

b760805d28f8375094ce83aee849de8b9d3382a2

[ "Apache-2.0" ]

26

2022-02-28T18:28:11.000Z

2022-03-29T13:15:22.000Z

import time import requests # Http endpoint cur = time.time() print(requests.post("http://127.0.0.1:8000/my-dag", json=["5", [1, 2], "sum"]).text) print(f"Time spent: {round(time.time() - cur, 2)} secs.") # Http endpoint cur = time.time() print(requests.post("http://127.0.0.1:8000/my-dag", json=["1", [0, 2], "max"])....

29.538462

84

0.630208

68

384

3.558824

0.352941

0.132231

0.123967

0.157025

0.85124

0

0.081871

0.109375

384

12

85

32

0.625731

0.070313

0

0.5

0

0.446328

0

1

0

false

0

0.25

0

0.25

0.5

0

null

0

1

0

null

0

1

0

7

192684c2fc33a3cff3429a446241736d19388fbe

697

py

Python

apps/careeropportunity/migrations/0015_auto_20200426_1109.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

32

2017-02-22T13:38:38.000Z

2022-03-31T23:29:54.000Z

apps/careeropportunity/migrations/0015_auto_20200426_1109.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

694

2017-02-15T23:09:52.000Z

2022-03-31T23:16:07.000Z

apps/careeropportunity/migrations/0015_auto_20200426_1109.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

35

2017-09-02T21:13:09.000Z

2022-02-21T11:30:30.000Z

# Generated by Django 3.0.5 on 2020-04-26 09:09 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ("companyprofile", "0007_company_created_date"), ("careeropportunity", "0014_auto_20191031_1239"), ] operatio...

26.807692

60

0.604017

66

697

6.212121

0.666667

0.058537

0.068293

0.107317

0

0.070994

0.292683

697

25

61

27.88

0.760649

0.064562

0

1

0

0.233846

0.107692

0

1

0

false

0

0.105263

0

0.263158

0

null

0

1

0

null

0

1

1928b4ff5a13f2e891c264d668791fc8b69f1469

790

py

Python

Businesslayer/Email_Validate.py

rohitgs28/FindMyEmployer

d4b369eb488f44e40ef371ac09847f8ccc39994c

[ "MIT" ]

null

Businesslayer/Email_Validate.py

rohitgs28/FindMyEmployer

d4b369eb488f44e40ef371ac09847f8ccc39994c

[ "MIT" ]

null

Businesslayer/Email_Validate.py

rohitgs28/FindMyEmployer

d4b369eb488f44e40ef371ac09847f8ccc39994c

[ "MIT" ]

null

import os import os.path import logging import sys import IValidator import re sys.path.append(os.path.abspath(os.path.join('0', '../extensions'))) from extensions_logging import logmyerror class Email_Validate(IValidator.IValidator): def formValidate_BSL(self,email): try: regex_emailCheck = r...

32.916667

73

0.640506

91

790

5.450549

0.549451

0.03629

0

0.001724

0.265823

790

24

74

32.916667

0.853448

0

0.117573

0

1

0.045455

false

0

0.318182

0

0.5

0

null

0

null

0

1

0

1

192a1f5991a077d1bd0f6488cd823461b384cac5

188

py

Python

psmate/apps/blog/admin.py

vgrivtsov/psmate

10e0279b995d36518e0867e8c5d5125c355a2f00

[ "MIT" ]

null

psmate/apps/blog/admin.py

vgrivtsov/psmate

10e0279b995d36518e0867e8c5d5125c355a2f00

[ "MIT" ]

null

psmate/apps/blog/admin.py

vgrivtsov/psmate

10e0279b995d36518e0867e8c5d5125c355a2f00

[ "MIT" ]

null

from django.contrib import admin from psmate.models import News class BlogAdmin(admin.ModelAdmin): prepopulated_fields = {'slug': ('title',)} admin.site.register(News, BlogAdmin)

17.090909

46

0.75

23

188

6.086957

0.73913

0

0.132979

188

10

47

18.8

0.858896

0

0.048128

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

null

0

1

0

1

0

3

192a9867b561e4cc653889667cda0bafef034b8e

4,706

py

Python

Main/APIUsagePatternSearcher.py

SMAT-Lab/APIMatchmaker

0cc5c68f7f2aba570ad4c583bbc5ec757158c676

[ "MIT" ]

null

Main/APIUsagePatternSearcher.py

SMAT-Lab/APIMatchmaker

0cc5c68f7f2aba570ad4c583bbc5ec757158c676

[ "MIT" ]

null

Main/APIUsagePatternSearcher.py

SMAT-Lab/APIMatchmaker

0cc5c68f7f2aba570ad4c583bbc5ec757158c676

[ "MIT" ]

null

# coding:utf-8 import re from Helper.common import * class APIUsagePatternSearcher: def __init__(self, OPTIONS, custom_args, numOfRecs): self.OPTIONS = OPTIONS self.custom_args = custom_args self.numOfRecs = numOfRecs def searchAPIUsagePatterns(self): # Collect in allProjects ...

35.923664

116

0.563536

444

4,706

5.891892

0.279279

0.030581

0.03211

0.020642

0.196865

0.177752

0

0.005175

0.342966

4,706

130

117

36.2

0.84088

0.112622

0

0.306818

0

0.038989

0.005054

0

1

0.068182

false

0

0.022727

0

0.147727

0

null

0

null

0

1

0

192b17d903cd1b6ec6531cfdd00faa10c1ae8213

873

py

Python

tools/leetcode.093.Restore IP Addresses/leetcode.093.Restore IP Addresses.submission2.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

4

2015-10-10T00:30:55.000Z

2020-07-27T19:45:54.000Z

tools/leetcode.093.Restore IP Addresses/leetcode.093.Restore IP Addresses.submission2.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

null

tools/leetcode.093.Restore IP Addresses/leetcode.093.Restore IP Addresses.submission2.py

tedye/leetcode

975d7e3b8cb9b6be9e80e07febf4bcf6414acd46

[ "MIT" ]

null

class Solution: # @param {string} s # @return {string[]} def restoreIpAddresses(self, s): if not s or len(s) < 4: return [] res = [] cur = [] self.helper(s, res, cur, 0) return res def helper(self, s, res, cur, level): if level == 4: i...

873

0.412371

120

873

3

0.25

0.1

0.122222

0.1

0.191667

0.138889

0

0.057199

0.419244

873

1

873

0.65286

0.041237

0

0.192308

0

0.001198

0

1

0.076923

false

0

0.230769

0

null

0

1

0

1

0

null

0

2

192b90d17689e6aeda21369042966d2de1a7f460

335

py

Python

Beginner/Ambiguous Permutations (PERMUT2)/permutation.py

anishsingh42/CodeChef

50f5c0438516210895e513bc4ee959b9d99ef647

[ "Apache-2.0" ]

127

2020-10-13T18:04:35.000Z

2022-02-17T10:56:27.000Z

Beginner/Ambiguous Permutations (PERMUT2)/permutation.py

anishsingh42/CodeChef

50f5c0438516210895e513bc4ee959b9d99ef647

[ "Apache-2.0" ]

132

2020-10-13T18:06:53.000Z

2021-10-17T18:44:26.000Z

Beginner/Ambiguous Permutations (PERMUT2)/permutation.py

anishsingh42/CodeChef

50f5c0438516210895e513bc4ee959b9d99ef647

[ "Apache-2.0" ]

364

2020-10-13T18:04:52.000Z

2022-03-04T14:34:53.000Z

while True : n = int(input()) if n == 0 : break else : arr = input().split() check = True for i in range(n) : if int(arr[int(arr[i]) - 1]) != i + 1 : check = False if check : print('ambiguous') else : print('...

23.928571

51

0.402985

39

335

3.461538

0.538462

0.088889

0

0.01676

0.465672

335

14

52

23.928571

0.73743

0

0.142857

0

0.065476

0

1

0

false

0

0.142857

0

null

0

null

0

1

0

192bad6eff2c66e4ca11db59cd7ea795ca554716

2,140

py

Python

src/voiceassistant/integrations/respeaker.py

vadimtitov/voice-assistant

9ed6a799f44d5a546eb712195e3e84e6ff10d2fa

[ "Apache-2.0" ]

1

2021-12-19T14:59:31.000Z

src/voiceassistant/integrations/respeaker.py

vadimtitov/voice-assistant

9ed6a799f44d5a546eb712195e3e84e6ff10d2fa

[ "Apache-2.0" ]

3

2021-09-16T20:47:58.000Z

2021-12-19T02:45:59.000Z

src/voiceassistant/integrations/respeaker.py

vadimtitov/voice-assistant

9ed6a799f44d5a546eb712195e3e84e6ff10d2fa

[ "Apache-2.0" ]

null

"""Add-On functions for speech interface.""" from __future__ import annotations from typing import TYPE_CHECKING, List from voiceassistant.addons.create import Addon, CoreAttribute, addon_begin, addon_end from voiceassistant.exceptions import IntegrationError from .base import Integration if TYPE_CHECKING: fro...

24.883721

98

0.700935

255

2,140

5.686275

0.368627

0.086897

0.075862

0.066207

0.246897

0.146207

0

0.006463

0.204673

2,140

85

99

25.176471

0.845476

0.101869

0

0.18

0

0.053305

0

1

0.12

false

0.02

0.18

0

0.44

0.02

0

null

0

null

0

1

0

192bfb70b6700b39e9f6c097fb207ffc155ff246

4,602

py

Python

src/driving_curriculum/agents/neural_networks/tf/tf_novelty_detector.py

takeitallsource/pac-simulator

2c00d878047ec4a0247167e8a7de5aec8b474086

[ "MIT" ]

1

2018-07-14T07:09:23.000Z

src/driving_curriculum/agents/neural_networks/tf/tf_novelty_detector.py

takeitallsource/pac-simulator

2c00d878047ec4a0247167e8a7de5aec8b474086

[ "MIT" ]

null

src/driving_curriculum/agents/neural_networks/tf/tf_novelty_detector.py

takeitallsource/pac-simulator

2c00d878047ec4a0247167e8a7de5aec8b474086

[ "MIT" ]

null

from math import cos, sin import numpy as np import tensorflow as tf from .....simulator import Agent # from simulator import Agent tf.set_random_seed(1234) class TensorflowNoveltyDetector(Agent): def execute(self, action): raise NotImplementedError() def __init__(self, world, learning=True, x=0.0,...

37.112903

100

0.634941

562

4,602

4.948399

0.197509

0.053937

0.046746

0.035958

0.401654

0.377202

0.356706

0.307084

0.276879

0.248112

0

0.008331

0.269665

4,602

123

101

37.414634

0.819101

0.005867

0

0.326733

0

0.013995

0

1

0.118812

false

0.009901

0.039604

0.009901

0.19802

0.009901

0

null

0

null

0

1

0

192c65ff044acb45e1b0a8921920efeebef0c02a

4,093

py

Python

setup.py

opalmer/pycffiwin32

39210182a92e93c37a9f1c644fd5fcc1aa32f6d1

[ "MIT" ]

10

2015-11-19T12:39:50.000Z

2021-02-21T20:15:29.000Z

setup.py

opalmer/pycffiwin32

39210182a92e93c37a9f1c644fd5fcc1aa32f6d1

[ "MIT" ]

109

2015-06-15T05:03:33.000Z

2018-01-14T10:18:48.000Z

setup.py

opalmer/pycffiwin32

39210182a92e93c37a9f1c644fd5fcc1aa32f6d1

[ "MIT" ]

8

2015-07-29T04:18:27.000Z

2018-11-02T17:15:40.000Z

from __future__ import print_function import os import sys from errno import ENOENT from os.path import dirname, abspath, join, isdir from setuptools import setup, find_packages from distutils.command.upload import upload from pywincffi import __version__ try: WindowsError except NameError: WindowsError = ...

31.728682

79

0.583435

424

4,093

5.528302

0.476415

0.025597

0.042662

0.013652

0.045222

0.027304

0

0.004912

0.303689

4,093

128

80

31.976563

0.817544

0.07916

0

0.08

0

0.219317

0.013607

0

1

0.01

false

0

0.09

0

0.11

0.03

0

null

0

null

0

1

0

192d556dfe9b06a1468a98d96f04aa0a6fb881ce

331

py

Python

data/split.py

manhcuongk55/gender-classification-by-hand

cafc5781f9c0a6476e848239f13d3ddf3a55de59

[ "MIT" ]

null

data/split.py

manhcuongk55/gender-classification-by-hand

cafc5781f9c0a6476e848239f13d3ddf3a55de59

[ "MIT" ]

null

data/split.py

manhcuongk55/gender-classification-by-hand

cafc5781f9c0a6476e848239f13d3ddf3a55de59

[ "MIT" ]

1

2020-12-07T06:38:16.000Z

import shutil with open('test.csv', 'r') as f: lines = f.readlines() for line in lines: image, gender = line.split(",") print(image) if 'female' in gender: shutil.move("test/" + image, "test/female/" + image) else: shutil.move("test/" + image, "test/male/...

27.583333

64

0.531722

41

331

4.292683

0.560976

0.113636

0.159091

0.215909

0.261364

0

0.305136

331

11

65

30.090909

0.765217

0

0.145015

0

1

0

false

0

0.1

0

0.1

0

null

0

1

0

null

0

1

192f1d7e5401a66f3ca654feee18cca382797d01

2,941

py

Python

generate.py

fnrcum/dungeon_generator

7f5d1bd1b612f66e39f2782eac6fcd40abe7f7f0

[ "MIT" ]

null

generate.py

fnrcum/dungeon_generator

7f5d1bd1b612f66e39f2782eac6fcd40abe7f7f0

[ "MIT" ]

null

generate.py

fnrcum/dungeon_generator

7f5d1bd1b612f66e39f2782eac6fcd40abe7f7f0

[ "MIT" ]

null

import random from helpers import Leaf, Rect, RoomList from renderer import MapRenderer from typing import List, Any class BSPTree: def __init__(self): self.level: List = [] self.room: object = None self._leafs: List = [] self.MAX_LEAF_SIZE: int = 32 self.ROOM_MAX_SIZE: int...

35.011905

82

0.550493

398

2,941

3.899497

0.298995

0.05799

0.045103

0.049613

0.132732

0.055412

0

0.037988

0.33764

2,941

83

35.433735

0.758727

0.112547

0

0.033898

0

0.002309

0

1

0.101695

false

0

0.067797

0

0.20339

0.016949

0

null

0

null

0

1

0

19308256c02abbb6b9f77d5d12549a9bf4a3e01e

1,382

py

Python

src/runner/exporter.py

leechunghwan/YCSB-runner

f33d0fed30b41797864d95b7dbc8a6c2430f0bd8

[ "Apache-2.0" ]

null

src/runner/exporter.py

leechunghwan/YCSB-runner

f33d0fed30b41797864d95b7dbc8a6c2430f0bd8

[ "Apache-2.0" ]

null

src/runner/exporter.py

leechunghwan/YCSB-runner

f33d0fed30b41797864d95b7dbc8a6c2430f0bd8

[ "Apache-2.0" ]

null

class Exporter: # Extensions for output files FILE_EXT = ".txt" PLOTS_FILE_EXT = ".pdf" """Exporter: Exports statistical data captured from YCSB output to a file.""" def __init__(self, stats_set): """__init__ :param stats_set: StatisticsSet object containing data to be export...

32.139535

81

0.636035

170

1,382

5.052941

0.329412

0.055879

0.052387

0.073341

0.451688

0.213038

0.154831

0.111758

0

0.295948

1,382

42

82

32.904762

0.882837

0.498553

0

0.272727

0

0.017582

0

1

0.363636

false

0

0.636364

0

null

0

null

0

1

0

1

0

2

1930fdebe216693651fdbce0248a0cc3fa01cfe6

4,387

py

Python

src/sima/riflex/crsaxialfrictionmodel.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

src/sima/riflex/crsaxialfrictionmodel.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

src/sima/riflex/crsaxialfrictionmodel.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

# This an autogenerated file # # Generated with CRSAxialFrictionModel from typing import Dict,Sequence,List from dmt.entity import Entity from dmt.blueprint import Blueprint from .blueprints.crsaxialfrictionmodel import CRSAxialFrictionModelBlueprint from typing import Dict from sima.sima.moao import MOAO from sima.si...

29.641892

174

0.647367

407

4,387

6.845209

0.189189

0.039483

0.051687

0.040201

0.153625

0.134243

0.084709

0.03374

0

0.004869

0.250969

4,387

147

175

29.843537

0.84297

0.223615

0

0.123457

1

0

0.008393

0

1

0.246914

false

0

0.08642

0

0.469136

0.049383

0

null

0

1

0

null

0

1

0

2