xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

f788b46ad9abee669c31dc3a176027a5ef06cdbd

8,983

py

Python

robot/TTS.py

mluyuchen/wukong-robot

67f5cdb06db9e5e256017925a5efe6721cb2bd1d

[ "MIT" ]

8

2021-02-01T06:33:49.000Z

2022-02-02T11:06:58.000Z

robot/TTS.py

mluyuchen/wukong-robot

67f5cdb06db9e5e256017925a5efe6721cb2bd1d

[ "MIT" ]

1

2020-06-10T10:59:02.000Z

robot/TTS.py

mluyuchen/wukong-robot

67f5cdb06db9e5e256017925a5efe6721cb2bd1d

[ "MIT" ]

6

2021-01-20T03:22:19.000Z

2022-03-21T14:19:32.000Z

# -*- coding: utf-8-*- import os import base64 import tempfile import pypinyin from aip import AipSpeech from . import utils, config, constants from robot import logging from pathlib import Path from pypinyin import lazy_pinyin from pydub import AudioSegment from abc import ABCMeta, abstractmethod from .sdk import Tenc...

32.665455

155

0.601247

1,024

8,983

5.130859

0.300781

0.018272

0.023982

0.026266

0.305862

0.273887

0.225733

0.165969

0.138942

0.116673

0

0.020547

0.279417

8,983

274

156

32.784672

0.791132

0.175776

0

0.278788

0

0.018182

0.06981

0

1

0.133333

false

0.006061

0.072727

0.042424

0.393939

0

null

0

null

0

1

0

f7897d0bfd7b98594f64cf998c02d21b938fb01d

392

py

Python

app/utils.py

Chimmahh/StarJumper

6003ede1de61a17f1f8302faacf5f76033f8045d

[ "MIT" ]

null

app/utils.py

Chimmahh/StarJumper

6003ede1de61a17f1f8302faacf5f76033f8045d

[ "MIT" ]

3

2020-06-05T18:39:20.000Z

2022-02-11T03:40:48.000Z

app/utils.py

Chimmahh/StarJumper

6003ede1de61a17f1f8302faacf5f76033f8045d

[ "MIT" ]

1

2018-07-26T16:44:04.000Z

from channels.db import database_sync_to_async from .exceptions import ClientError from .models import Game @database_sync_to_async def get_game_or_error(game_id, user): if not user.is_authenticated: raise ClientError("USER_HAS_TO_LOGIN") try: game = Game.objects.get(pk=game_id) except Game...

30.153846

46

0.75

56

392

4.964286

0.571429

0.086331

0.100719

0.136691

0

0.181122

392

13

47

30.153846

0.866044

0

0.073791

0

1

0.083333

false

0

0.25

0

0.416667

0

null

0

null

0

1

0

f78ade6802218bb90c0b57cf1feec7d8f2242c2e

2,328

py

Python

tests/utils/test_file.py

gfi-centre-ouest/docker-devbox-ddb

1597d85ef6e9e8322cce195a454de54186ce9ec7

[ "MIT" ]

4

2020-06-11T20:54:47.000Z

2020-09-22T13:07:17.000Z

tests/utils/test_file.py

gfi-centre-ouest/docker-devbox-ddb

1597d85ef6e9e8322cce195a454de54186ce9ec7

[ "MIT" ]

113

2019-11-07T00:40:36.000Z

2021-01-18T12:50:16.000Z

tests/utils/test_file.py

inetum-orleans/docker-devbox-ddb

20c713cf7bfcaf289226a17a9648c17d16003b4d

[ "MIT" ]

null

import os import pytest from ddb.__main__ import load_registered_features from ddb.config import config from ddb.feature import features from ddb.feature.core import CoreFeature from ddb.utils import file from ddb.utils.file import FileWalker, FileUtils class TestHasSameContent: def test_should_return_true_if_s...

40.137931

139

0.714777

309

2,328

5.048544

0.300971

0.044872

0.053846

0.417308

0.403846

0.377564

0.299359

0.271154

0

0.020888

0.177406

2,328

57

140

40.842105

0.793734

0

0.047619

0

0.02381

0.210481

0.048969

0

0.166667

1

0.119048

false

0

0.214286

0

0.404762

0

null

0

null

0

1

0

f78b0bc589ac5d9426f05edb7fe27d25d4add06c

9,666

py

Python

test/test_datasets.py

pyronear/pyro-dataset

b6445f6051058f20f2fc821040ec3705dc60464c

[ "Apache-2.0" ]

null

test/test_datasets.py

pyronear/pyro-dataset

b6445f6051058f20f2fc821040ec3705dc60464c

[ "Apache-2.0" ]

null

test/test_datasets.py

pyronear/pyro-dataset

b6445f6051058f20f2fc821040ec3705dc60464c

[ "Apache-2.0" ]

1

2022-02-14T12:37:24.000Z

# Copyright (C) 2021, Pyronear contributors. # This program is licensed under the GNU Affero General Public License version 3. # See LICENSE or go to <https://www.gnu.org/licenses/agpl-3.0.txt> for full license details. import unittest import tempfile from pathlib import Path import json from PIL.Image import Image i...

38.975806

114

0.658183

1,172

9,666

5.186007

0.213311

0.065153

0.049358

0.036854

0.55923

0.524515

0.480421

0.480257

0.455084

0.421191

0

0.032651

0.226878

9,666

247

115

39.133603

0.780677

0.0509

0

0.351955

0

0.067132

0.007095

0

0.167598

1

0.128492

false

0

0.072626

0

0.22905

0

null

0

null

0

1

0

f78d0e1c968d2c094e91caabfbf0e1efad8f0eb3

1,009

py

Python

examples/avro/py/generate_avro_users.py

kikkomep/pydoop

4f855ef775b925b8c9f2adf1c0ef13337323ee24

[ "Apache-2.0" ]

null

examples/avro/py/generate_avro_users.py

kikkomep/pydoop

4f855ef775b925b8c9f2adf1c0ef13337323ee24

[ "Apache-2.0" ]

null

examples/avro/py/generate_avro_users.py

kikkomep/pydoop

4f855ef775b925b8c9f2adf1c0ef13337323ee24

[ "Apache-2.0" ]

null

import sys import random import avro.schema from avro.datafile import DataFileWriter from avro.io import DatumWriter NAME_POOL = ['george', 'john', 'paul', 'ringo'] OFFICE_POOL = ['office-%d' % _ for _ in xrange(4)] COLOR_POOL = ['black', 'cyan', 'magenta', 'yellow'] def main(argv): try: schema_fn = arg...

28.027778

69

0.597621

131

1,009

4.366412

0.465649

0.031469

0

0.006775

0.268583

1,009

35

70

28.828571

0.768293

0

0.136769

0

1

0.034483

false

0

0.172414

0

0.206897

0

null

0

null

0

1

0

f7905a650574afa3ef5e426f0e640ab9b3607fe3

10,085

py

Python

packages/gtmapi/service.py

gigabackup/gigantum-client

70fe6b39b87b1c56351f2b4c551b6f1693813e4f

[ "MIT" ]

60

2018-09-26T15:46:00.000Z

2021-10-10T02:37:14.000Z

packages/gtmapi/service.py

gigabackup/gigantum-client

70fe6b39b87b1c56351f2b4c551b6f1693813e4f

[ "MIT" ]

1,706

2018-09-26T16:11:22.000Z

2021-08-20T13:37:59.000Z

packages/gtmapi/service.py

griffinmilsap/gigantum-client

70fe6b39b87b1c56351f2b4c551b6f1693813e4f

[ "MIT" ]

11

2019-03-14T13:23:51.000Z

2022-01-25T01:29:16.000Z

#!/usr/bin/python3 import shutil import os import base64 from time import sleep import flask import requests.exceptions import blueprint from flask_cors import CORS from confhttpproxy import ProxyRouter, ProxyRouterException from flask import Flask, jsonify import rest_routes from lmsrvcore.utilities.migrate import...

38.938224

133

0.69529

1,378

10,085

4.923077

0.29463

0.012382

0.010613

0.01194

0.126474

0.096403

0.06309

0.045401

0.035967

0.016215

0

0.00956

0.211701

10,085

258

134

39.089147

0.843774

0.259593

0

0.21118

0

0.012422

0.285134

0.067289

0

1

0.031056

false

0

0.118012

0

0.167702

0.024845

0

null

0

null

0

1

0

f797289b8fbe1305efddd975d80c58646d9ec219

2,555

py

Python

ml_model.py

CristopherNim/student_performance

f1ec90329e91c44a8155d83c0ac1569eb038954e

[ "MIT" ]

null

ml_model.py

CristopherNim/student_performance

f1ec90329e91c44a8155d83c0ac1569eb038954e

[ "MIT" ]

null

ml_model.py

CristopherNim/student_performance

f1ec90329e91c44a8155d83c0ac1569eb038954e

[ "MIT" ]

null

import numpy as np import pandas as pd from sklearn.linear_model import Ridge from sklearn.model_selection import cross_val_score, train_test_split from sklearn.model_selection import RepeatedKFold from sklearn.preprocessing import OneHotEncoder import pickle from flask import Flask, request np.random.seed(42...

35.486111

111

0.720157

369

2,555

4.737127

0.349594

0.06865

0.02746

0.028604

0.145309

0.10984

0.066362

0

0.011585

0.155382

2,555

71

112

35.985915

0.798424

0.074755

0

0.189934

0.031947

0

1

0.02381

false

0

0.190476

0

0.238095

0.071429

0

null

0

null

0

1

0

f797b24b3f7362f5aa140f0cf6036ab769afd566

4,671

py

Python

kubails/commands/service.py

DevinSit/kubails

b3b2f9487d815868f0fbe9fae649789a40b50ad8

[ "MIT" ]

2

2019-05-28T00:26:52.000Z

2019-08-02T23:02:19.000Z

kubails/commands/service.py

DevinSit/kubails

b3b2f9487d815868f0fbe9fae649789a40b50ad8

[ "MIT" ]

51

2019-12-23T04:34:40.000Z

2022-02-12T02:28:44.000Z

kubails/commands/service.py

DevinSit/kubails

b3b2f9487d815868f0fbe9fae649789a40b50ad8

[ "MIT" ]

1

2019-09-11T20:12:18.000Z

import click import logging import sys from typing import Tuple from kubails.commands import helpers from kubails.services.config_store import ConfigStore from kubails.services.service import Service from kubails.resources.templates import SERVICE_TEMPLATES from kubails.utils.command_helpers import log_command_args_fac...

26.241573

84

0.676301

603

4,671

5.117745

0.180763

0.081659

0.058976

0.055087

0.489307

0.411536

0.328257

0.225535

0.174336

0

0.003595

0.166346

4,671

177

85

26.389831

0.788906

0.160993

0

0.361111

0

0.136289

0

1

0.111111

false

0.009259

0.083333

0

0.194444

0

null

0

null

0

1

0

f79944d2cfc0c1247874648a3a289225bce5b0b8

669

py

Python

teacher_files/ia_fopera/version sockets (unix only) d'H. Roussille/neurones.py

zomboyd/epi-ml

383c28f27e4fdef715e94d1a0e0cd24afe368f86

[ "MIT" ]

null

teacher_files/ia_fopera/version sockets (unix only) d'H. Roussille/neurones.py

zomboyd/epi-ml

383c28f27e4fdef715e94d1a0e0cd24afe368f86

[ "MIT" ]

null

teacher_files/ia_fopera/version sockets (unix only) d'H. Roussille/neurones.py

zomboyd/epi-ml

383c28f27e4fdef715e94d1a0e0cd24afe368f86

[ "MIT" ]

null

from math import exp,sqrt from random import randrange class neurone: def __init__(self,a,b): self.a=a self.b=b def proceed(self,z): t = z[0]*self.a + z[1]*self.b return 1/(1+exp(-t)) n = 100 X_app = [(randrange(-500,501)/1000,randrange(-500,501)/1000) for i in range(n)] Y_app ...

27.875

79

0.600897

145

669

2.662069

0.331034

0.090674

0.062176

0.11399

0.137306

0.098446

0

0.106262

0.212257

669

24

80

27.875

0.626186

0

1

0.095238

false

0

0.095238

0

0.285714

0.047619

0

null

0

null

0

1

0

f799652a7ef1e45432c147799e5cb274b7f73f41

29,113

py

Python

CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/apps/storymap/storymap.py

moazzamwaheed2017/carparkapi

e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a

[ "MIT" ]

null

CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/apps/storymap/storymap.py

moazzamwaheed2017/carparkapi

e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a

[ "MIT" ]

9

2020-02-03T15:50:10.000Z

2022-03-02T07:11:34.000Z

CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/apps/storymap/storymap.py

moazzamwaheed2017/carparkapi

e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a

[ "MIT" ]

null

import json import datetime import mimetypes from urllib.parse import urlparse from arcgis import env from arcgis.gis import GIS from arcgis.gis import Item from ._ref import reference class JournalStoryMap(object): """ Represents a Journal Story Map =============== ===================================...

44.177542

131

0.334352

1,830

29,113

5.221311

0.138798

0.045421

0.048142

0.049817

0.601465

0.562951

0.510832

0.505285

0.501099

0

0.005445

0.362896

29,113

658

132

44.244681

0.509705

0.431697

0

0.484925

0

0.002513

0.147917

0.015549

0

1

0.047739

false

0

0.025126

0.005025

0.148241

0

null

0

null

0

1

0

f79a3d652453d780701f42332b40981d8f1da3a1

2,749

py

Python

bin/pannzer/operators/output_DE.py

nestorzaburannyi/annotate

e175226504efef811d4ac3914f2ab342968edf98

[ "MIT" ]

1

2021-11-26T17:29:56.000Z

bin/pannzer/operators/output_DE.py

nestorzaburannyi/annotate

e175226504efef811d4ac3914f2ab342968edf98

[ "MIT" ]

1

2020-03-19T21:12:23.000Z

bin/pannzer/operators/output_DE.py

nestorzaburannyi/annotate

e175226504efef811d4ac3914f2ab342968edf98

[ "MIT" ]

null

from myoperator import BlockOperator import re class output_DE(BlockOperator): """ Select one line per DE-cluster with the best quality description. Creates cluster_data column 'desc','genename' Inputs: data columns 'clusid','desc','FF','status' cluster_data column 'clu...

45.816667

167

0.476901

286

2,749

4.465035

0.283217

0.049334

0.050901

0.039937

0.145654

0.048551

0

0.016414

0.42379

2,749

59

168

46.59322

0.789773

0.14187

0

0.090909

0

0.037744

0

1

0.045455

false

0

0.045455

0

0.113636

0

null

0

null

0

1

0

f7a18de75e2c5d8f0a8fefb62bdf2a19e6aa2d6f

1,662

py

Python

versions/versions.py

juanfec/juan_rueda_test

1e5d6bccadc24569db26b5a8b58486c8295cef12

[ "MIT" ]

null

versions/versions.py

juanfec/juan_rueda_test

1e5d6bccadc24569db26b5a8b58486c8295cef12

[ "MIT" ]

null

versions/versions.py

juanfec/juan_rueda_test

1e5d6bccadc24569db26b5a8b58486c8295cef12

[ "MIT" ]

null

# check to strings that represent version numbers and finds the greatest, # 'equals' if they are the same version or 'Invalid Format' # example: “1.2” is greater than “1.1”. # for reusability this function just returns the version number or the word equals # if a more elaborated answer is needed an interface would be...

42.615385

82

0.570397

209

1,662

4.535885

0.444976

0.06962

0.046414

0.07173

0.238397

0.183544

0

0.028999

0.356799

1,662

39

83

42.615385

0.857811

0.377858

0

0.518519

0

0.021548

0

1

0.037037

false

0

0.407407

0

null

0

null

0

1

0

e38a5b70b844182225b5e64d4a3c3af08686053b

1,869

py

Python

examples/finance/stocks_baselines.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

[ "MIT" ]

null

examples/finance/stocks_baselines.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

[ "MIT" ]

null

examples/finance/stocks_baselines.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

[ "MIT" ]

null

import sys import os sys.path.append(os.getcwd()) import argparse import numpy as np import pmdarima import torch import torch.nn.functional as F from torch import nn from fusions.common_fusions import Stack from unimodals.common_models import LSTMWithLinear from datasets.stocks.get_data import get_dataloader parser...

41.533333

129

0.721776

283

1,869

4.618375

0.286219

0.129304

0.13925

0.078041

0.30987

0.208875

0.196634

0.155318

0

0.001232

0.131086

1,869

44

130

42.477273

0.803571

0

0.12306

0

1

0.108108

false

0

0.297297

0.054054

0.486486

0.216216

0

null

0

null

0

1

0

e38a5e9b805eaee8a5ed1bb8c56f9e375e34bdfa

3,329

py

Python

textmate/bundles/LaTeX.tmbundle/Support/lib/Python/tmprefs.py

leo-brewin/hybrid-latex

2debaf3f97eb551928d08dc4baded7ef7a4ab29a

[ "MIT" ]

16

2018-10-12T06:31:49.000Z

2022-03-31T23:16:08.000Z

textmate/bundles/LaTeX.tmbundle/Support/lib/Python/tmprefs.py

leo-brewin/hybrid-latex

2debaf3f97eb551928d08dc4baded7ef7a4ab29a

[ "MIT" ]

null

textmate/bundles/LaTeX.tmbundle/Support/lib/Python/tmprefs.py

leo-brewin/hybrid-latex

2debaf3f97eb551928d08dc4baded7ef7a4ab29a

[ "MIT" ]

2

2021-06-27T03:29:40.000Z

2022-03-30T17:17:18.000Z

# -- Imports ------------------------------------------------------------------ from __future__ import print_function from __future__ import unicode_literals from Foundation import CFPreferencesAppSynchronize, CFPreferencesCopyAppValue from os import getenv # -- Class -----------------------------------------------...

31.11215

79

0.545209

275

3,329

6.454545

0.396364

0.049577

0.050704

0

0.002644

0.318414

3,329

106

80

31.40566

0.779639

0.428958

0

0.11728

0.014348

0

1

0.081081

false

0

0.135135

0

0.297297

0.027027

0

null

0

null

0

1

0

e38c0cf17108b05c381e4d71a5abca8083aae594

6,936

py

Python

Q1_ab.py

dkilike/Image-Segmentation

6a3ab7f96d105475051502aba8013c242eba5fcb

[ "ADSL" ]

2

2019-05-05T01:52:23.000Z

2019-05-06T22:56:54.000Z

Q1_ab.py

dkilike/Image-Segmentation

6a3ab7f96d105475051502aba8013c242eba5fcb

[ "ADSL" ]

null

Q1_ab.py

dkilike/Image-Segmentation

6a3ab7f96d105475051502aba8013c242eba5fcb

[ "ADSL" ]

null

'''Please write a program to read the scan and print out The maximum voxel intensity The mean voxel intensity The coordinates of the centre of the image volume, in the scanner coordinate system. ''' import pydicom import numpy as np import matplotlib.pyplot as plt import cv2 import glob import os import image_slicer ...

36.698413

131

0.697953

974

6,936

4.865503

0.207392

0.028065

0.043891

0.025322

0.555602

0.502638

0.471407

0.442709

0.35767

0

0.050112

0.15989

6,936

189

132

36.698413

0.763171

0.438725

0

0.158537

0

0.012195

0.199783

0.025176

0

1

0

false

0

0.085366

0

0.085366

0.146341

0

null

0

null

0

1

0

e38c2e039b77985412d12e168040f3115a42b4f3

1,759

py

Python

12/day_twelve.py

tmay-sarsaparilla/advent-of-code-2021

3cd827df57d315dd96627544b9f5c31b7db1aa11

[ "MIT" ]

null

12/day_twelve.py

tmay-sarsaparilla/advent-of-code-2021

3cd827df57d315dd96627544b9f5c31b7db1aa11

[ "MIT" ]

null

12/day_twelve.py

tmay-sarsaparilla/advent-of-code-2021

3cd827df57d315dd96627544b9f5c31b7db1aa11

[ "MIT" ]

null

def find_paths(start, connections, visited=None, small_cave_visited_twice=False): if visited is None: visited = ["start"] possible_connections = [e for s, e in connections if s == start] + [s for s, e in connections if e == start] paths = [] if not possible_connections: raise ValueErro...

34.490196

112

0.604321

227

1,759

4.431718

0.295154

0.053678

0.111332

0.146123

0.257455

0.110338

0.055666

0

0.306424

1,759

50

113

35.18

0.82459

0.072769

0

0.095238

0

0.051724

0

1

0.047619

false

0

0.071429

0.02381

0

null

0

null

0

1

0

e38e7b771230b46e0d59d9e9f903a942ff021817

1,643

py

Python

tests/unit/test_question_answer.py

Lunga001/pmg-cms-2

10cea3979711716817b0ba2a41987df73f2c7642

[ "Apache-2.0" ]

2

2019-06-11T20:46:43.000Z

2020-08-27T22:50:32.000Z

tests/unit/test_question_answer.py

Lunga001/pmg-cms-2

10cea3979711716817b0ba2a41987df73f2c7642

[ "Apache-2.0" ]

70

2017-05-26T14:04:06.000Z

2021-06-30T10:21:58.000Z

tests/unit/test_question_answer.py

OpenUpSA/pmg-cms-2

ec5f259dae81674ac7a8cdb80f124a8b0f167780

[ "Apache-2.0" ]

4

2017-08-29T10:09:30.000Z

2021-05-25T11:29:03.000Z

import os from tests import PMGTestCase from tests.fixtures import dbfixture, CommitteeQuestionData class TestQuestionAnswer(PMGTestCase): def setUp(self): super(TestQuestionAnswer, self).setUp() self.fx = dbfixture.data(CommitteeQuestionData,) self.fx.setup() def tearDown(self): ...

33.530612

80

0.645161

164

1,643

6.310976

0.304878

0.04058

0.077295

0.108213

0.703382

0.691787

0.624155

0.519807

0

0.011447

0.25563

1,643

48

81

34.229167

0.834832

0

0.404762

0

0.093122

0.04504

0

0.142857

1

0.095238

false

0

0.071429

0

0.190476

0

null

0

null

0

1

0

e38eb4838b0bca24f076f914d11b9ed6e01734df

1,470

py

Python

Job-Interviews/Python/BinaryTrees/Problem2.py

JuanPabloMontoya271/ITC

f5899e7a8fed4e9f90e97bb3af635a276d9cf13a

[ "MIT" ]

1

2020-11-02T15:18:16.000Z

Job-Interviews/Python/BinaryTrees/Problem2.py

JuanPabloMontoya271/ITC

f5899e7a8fed4e9f90e97bb3af635a276d9cf13a

[ "MIT" ]

null

Job-Interviews/Python/BinaryTrees/Problem2.py

JuanPabloMontoya271/ITC

f5899e7a8fed4e9f90e97bb3af635a276d9cf13a

[ "MIT" ]

1

2021-10-30T14:18:29.000Z

class Tree: def __init__(self, val,left = None, right = None): self.val = val self.left = left self.right = right root = Tree(4, left = Tree(3), right=Tree(5, left= Tree(4))) #InOrderTraversal def InOrderTraversal(root, res = []): if root is None: return res ...

28.269231

61

0.614286

176

1,470

5.107955

0.204545

0.177976

0.040044

0.057842

0.446051

0.428254

0.374861

0.276974

0.122358

0

0.006554

0.273469

1,470

52

62

28.269231

0.835206

0.034694

0

0.477273

0

0.038799

0

1

0.113636

false

0

0.318182

0.090909

0

null

0

null

0

1

0

e38ef669498a375d8712d764abb891d4af6ac615

4,429

py

Python

csv_analyzer/apps/dataset/api/dataset.py

saduqz/csv-analyzer-test

732d4902aeba9278e7547ed5a83e4a482790076c

[ "MIT" ]

null

csv_analyzer/apps/dataset/api/dataset.py

saduqz/csv-analyzer-test

732d4902aeba9278e7547ed5a83e4a482790076c

[ "MIT" ]

null

csv_analyzer/apps/dataset/api/dataset.py

saduqz/csv-analyzer-test

732d4902aeba9278e7547ed5a83e4a482790076c

[ "MIT" ]

null

from datetime import datetime # Rest framework from rest_framework import status from rest_framework.decorators import action from rest_framework.mixins import RetrieveModelMixin, ListModelMixin, UpdateModelMixin, CreateModelMixin from rest_framework.response import Response from rest_framework.viewsets import Generic...

33.300752

109

0.664484

506

4,429

5.614625

0.262846

0.029567

0.035903

0.033439

0.166843

0.100669

0.050686

0.030271

0

0.00654

0.240461

4,429

132

110

33.55303

0.83799

0.09641

0

0.137931

0

0.037865

0

1

0.068966

false

0

0.137931

0.011494

0.321839

0

null

0

null

0

1

0

e38f3cccadcd0f9b76ee123f571fa527044e60b4

11,984

py

Python

tfx_bsl/tfxio/tensor_to_arrow_test.py

brills/tfx-bsl

089d6673a8d3cccef84ff3d6583808544d2da038

[ "Apache-2.0" ]

null

tfx_bsl/tfxio/tensor_to_arrow_test.py

brills/tfx-bsl

089d6673a8d3cccef84ff3d6583808544d2da038

[ "Apache-2.0" ]

null

tfx_bsl/tfxio/tensor_to_arrow_test.py

brills/tfx-bsl

089d6673a8d3cccef84ff3d6583808544d2da038

[ "Apache-2.0" ]

null

# Copyright 2020 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 # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...

38.044444

80

0.550484

1,300

11,984

4.823077

0.178462

0.016268

0.014035

0.014354

0.50941

0.405263

0.341467

0.294418

0.237002

0.183413

0

0.027087

0.328438

11,984

314

81

38.165605

0.751988

0.068758

0

0.403922

0

0.043854

0.006455

0

0.062745

1

0.027451

false

0

0.035294

0

0.07451

0

null

0

null

0

1

0

e390652d724f8e334ded89e33631ccb73990db8b

2,749

py

Python

nemo/nemo/backends/pytorch/common/data.py

petermartigny/NeMo

b20821e637314940e36b63d32c601c43d1b74051

[ "Apache-2.0" ]

1

2020-03-22T11:23:11.000Z

nemo/nemo/backends/pytorch/common/data.py

petermartigny/NeMo

b20821e637314940e36b63d32c601c43d1b74051

[ "Apache-2.0" ]

null

nemo/nemo/backends/pytorch/common/data.py

petermartigny/NeMo

b20821e637314940e36b63d32c601c43d1b74051

[ "Apache-2.0" ]

1

2019-10-23T01:19:19.000Z

__all__ = ['TextDataLayer'] from functools import partial import torch from torch.utils.data import DataLoader, DistributedSampler from nemo.backends.pytorch.common.parts import TextDataset from nemo.backends.pytorch.nm import DataLayerNM from nemo.core import DeviceType from nemo.core.neural_types import * from nem...

29.244681

79

0.616588

335

2,749

4.853731

0.39403

0.01845

0.01968

0.02829

0.0246

0

0.007315

0.303747

2,749

93

80

29.55914

0.842215

0.233903

0

0.068966

0

0.008785

0

0.017241

1

0.103448

false

0

0.137931

0.051724

0.344828

0

null

0

null

0

1

0

e39338fd7b675e7103c88c702302ca7865a71de5

21,161

py

Python

bot.py

marsDurden/UnipdBot

402b74f6bd876265b952f052e2c132f6aa3c050d

[ "Unlicense" ]

4

2018-04-12T03:39:36.000Z

2019-11-26T07:52:30.000Z

bot.py

marsDurden/UnipdBot

402b74f6bd876265b952f052e2c132f6aa3c050d

[ "Unlicense" ]

null

bot.py

marsDurden/UnipdBot

402b74f6bd876265b952f052e2c132f6aa3c050d

[ "Unlicense" ]

1

2019-10-07T16:50:48.000Z

import logging from datetime import time, timedelta from functools import wraps # Telegram bot libraries from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, CallbackQueryHandler from telegram import KeyboardButton, ReplyKeyboardMarkup, ParseMode, Bot, InlineKeyboardButton, InlineKeyboardMarkup f...

40.460803

228

0.641038

2,525

21,161

5.184158

0.145743

0.040795

0.023529

0.042017

0.584492

0.512529

0.449198

0.42796

0.343239

0.30084

0

0.007493

0.243183

21,161

522

229

40.538314

0.809866

0.058646

0

0.449749

0

0.061962

0

0.001916

0

1

0.077889

false

0.017588

0.025126

0

0.11809

0.002513

0

null

0

null

0

1

0

e3946d8baaf74d520467a9069ae0fdd15f75585b

1,340

py

Python

misc_code/extractGridFeatures.py

Lab-Work/gpsresilience

7c5183092013d44ce6d295469880502407c0e4ac

[ "NCSA", "Unlicense" ]

21

2015-03-10T19:13:38.000Z

2021-06-27T06:01:00.000Z

misc_code/extractGridFeatures.py

Lab-Work/gpsresilience

7c5183092013d44ce6d295469880502407c0e4ac

[ "NCSA", "Unlicense" ]

null

misc_code/extractGridFeatures.py

Lab-Work/gpsresilience

7c5183092013d44ce6d295469880502407c0e4ac

[ "NCSA", "Unlicense" ]

17

2015-03-10T19:13:39.000Z

2020-11-14T08:30:40.000Z

import csv import os import shutil from datetime import datetime from grid import * #from cluster import * from regions import * start_time = datetime.now() print("Allocating...") #grid2 #gridSystem = GridSystem(-74.04, -73.775, 5, 40.63, 40.835, 5) #gridname = "grid2" #grid3 #gridSystem = GridSystem(-74.02, -73.9...

20

81

0.636567

181

1,340

4.646409

0.519337

0.023781

0.035672

0

0.074388

0.207463

1,340

66

82

20.30303

0.717514

0.2

0

0.132768

0

1

0

false

0

0.157895

0

0.157895

0.105263

0

null

0

null

0

1

0

e394ba0d9db0eefab6e3defb03dc2daf2b6faade

6,472

py

Python

haiku/_src/stateful_test.py

madisonmay/dm-haiku

de95f6f83561edeb582d46b2e3bf135051792b91

[ "Apache-2.0" ]

null

haiku/_src/stateful_test.py

madisonmay/dm-haiku

de95f6f83561edeb582d46b2e3bf135051792b91

[ "Apache-2.0" ]

null

haiku/_src/stateful_test.py

madisonmay/dm-haiku

de95f6f83561edeb582d46b2e3bf135051792b91

[ "Apache-2.0" ]

null

# Lint as: python3 # Copyright 2019 DeepMind Technologies Limited. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # ...

30.102326

80

0.65204

1,003

6,472

4.058824

0.195414

0.025792

0.02874

0.024564

0.436011

0.387374

0.341931

0.315402

0.289855

0

0.015716

0.203646

6,472

214

81

30.242991

0.774156

0.153276

0

0.392157

0

0.028414

0

0.183007

1

0.169935

false

0

0.058824

0.006536

0.326797

0

null

0

null

0

1

0

e395c0ffd85f1bb1c10ed76e50b3673348515641

1,205

py

Python

pocketbook/commands/rename.py

ejfitzgerald/tools-pocketbook

c36254f3e39e875cacf50a5e90b9723e19c1ed9b

[ "Apache-2.0" ]

1

2021-09-08T05:30:11.000Z

pocketbook/commands/rename.py

ejfitzgerald/tools-pocketbook

c36254f3e39e875cacf50a5e90b9723e19c1ed9b

[ "Apache-2.0" ]

14

2019-12-30T17:43:22.000Z

2021-11-18T10:45:14.000Z

pocketbook/commands/rename.py

ejfitzgerald/tools-pocketbook

c36254f3e39e875cacf50a5e90b9723e19c1ed9b

[ "Apache-2.0" ]

3

2019-12-24T10:50:44.000Z

2021-11-20T21:24:32.000Z

def run_rename(args): from pocketbook.address_book import AddressBook from pocketbook.key_store import KeyStore address_book = AddressBook() key_store = KeyStore() # make sure that the new name is not present either as a key, or as an address new_present = args.new in address_book.keys() or ar...

35.441176

114

0.682988

185

1,205

4.297297

0.340541

0.05283

0.045283

0.05283

0.045283

0

0.004343

0.235685

1,205

33

115

36.515152

0.858849

0.091286

0

0.12

0

0.14011

0

1

0.04

false

0

0.08

0

0.28

0.12

0

null

0

null

0

1

0

e396807417ead50e7f98ae6a7599b85f383deff5

395

py

Python

src/orion/algo/robo/__init__.py

lebrice/orion.algo.robo

f7e14e305619344ed9afd303fecbfcabda6ae7ce

[ "BSD-3-Clause" ]

null

src/orion/algo/robo/__init__.py

lebrice/orion.algo.robo

f7e14e305619344ed9afd303fecbfcabda6ae7ce

[ "BSD-3-Clause" ]

null

src/orion/algo/robo/__init__.py

lebrice/orion.algo.robo

f7e14e305619344ed9afd303fecbfcabda6ae7ce

[ "BSD-3-Clause" ]

2

2020-09-28T15:18:19.000Z

2021-06-29T20:27:18.000Z

# -*- coding: utf-8 -*- """ Wrapper for RoBO """ __descr__ = "TODO" __license__ = "BSD 3-Clause" __author__ = u"Epistímio" __author_short__ = u"Epistímio" __author_email__ = "xavier.bouthillier@umontreal.ca" __copyright__ = u"2021, Epistímio" __url__ = "https://github.com/Epistimio/orion.algo.robo" from ._version imp...

21.944444

56

0.741772

49

395

5.204082

0.734694

0.129412

0.12549

0

0.017143

0.113924

395

17

57

23.235294

0.711429

0.098734

0

0.376437

0.08908

0

1

0

false

0

0.1

0

0.1

0

null

0

null

0

1

0

e399392a521bfe1faf93a652bafa6c185ca4d8e0

2,343

py

Python

minimum/minimum-function.py

gunater/Numerical-methods

4cf676b7d3996b7e70c6f4b50b15acc330a0d763

[ "MIT" ]

null

minimum/minimum-function.py

gunater/Numerical-methods

4cf676b7d3996b7e70c6f4b50b15acc330a0d763

[ "MIT" ]

null

minimum/minimum-function.py

gunater/Numerical-methods

4cf676b7d3996b7e70c6f4b50b15acc330a0d763

[ "MIT" ]

null

""" Znaleść kąt á, przy którym zasięg skoku z wahadła będzie maksymalny. Należy posłużyć się metodą złotego podziału. Mateusz Ostrowski Index:216708 """ import matplotlib.pyplot as plt import numpy as np class Zloty_podzial: def __init__(self, h, line, a0): tau = (np.sqrt(5) - 1) / 2 a = 0.2 ...

31.662162

193

0.521554

383

2,343

3.156658

0.321149

0.033085

0.049628

0.054591

0.19024

0.095947

0.086022

0

0.047792

0.294494

2,343

73

194

32.09589

0.683606

0.061886

0

0.040816

0

0.10274

0

1

0.102041

false

0

0.040816

0.061224

0.244898

0.040816

0

null

0

null

0

1

0

e399bf6533e93672377322199e348e30448cbeff

3,967

py

Python

app/products/product_info.py

Group-16-COSC-310/grocery-chat-bot

a9759dd0a6d5b91733267ec4ed156f85f45c05ff

[ "MIT" ]

null

app/products/product_info.py

Group-16-COSC-310/grocery-chat-bot

a9759dd0a6d5b91733267ec4ed156f85f45c05ff

[ "MIT" ]

7

2022-03-10T00:24:51.000Z

2022-03-19T01:37:18.000Z

app/products/product_info.py

Group-16-COSC-310/grocery-chat-bot

a9759dd0a6d5b91733267ec4ed156f85f45c05ff

[ "MIT" ]

1

2022-03-31T03:28:27.000Z

from app.database import MOCK_PRODUCT_DATA import re from app.products.base_handler import BaseHandler class ProductInfoHandler(BaseHandler): """ A class used to represent a mini-bot to handle product queries. """ def __init__(self) -> None: super().__init__() def create_match_paterns(se...

36.731481

138

0.590623

469

3,967

4.882729

0.309168

0.015721

0.019214

0.022271

0

0.001435

0.297454

3,967

108

139

36.731481

0.820237

0.158306

0

0.028986

0

0.028986

0.151222

0.027769

0

1

0.101449

false

0

0.043478

0

0.246377

0

null

0

null

0

1

0

e39a4f94218457c4ddd8055721b30ec15463d320

5,940

py

Python

qcdb/iface_psi4/runner.py

vivacebelles/qcdb

5bbdcb5c833277647a36bb0a5982abb56bf29b20

[ "BSD-3-Clause" ]

1

2019-02-20T20:18:02.000Z

qcdb/iface_psi4/runner.py

vivacebelles/qcdb

5bbdcb5c833277647a36bb0a5982abb56bf29b20

[ "BSD-3-Clause" ]

null

qcdb/iface_psi4/runner.py

vivacebelles/qcdb

5bbdcb5c833277647a36bb0a5982abb56bf29b20

[ "BSD-3-Clause" ]

null

import sys import copy import pprint pp = pprint.PrettyPrinter(width=120) import inspect import numpy as np from .. import __version__ from .. import qcvars from ..driver.driver_helpers import print_variables from ..exceptions import * from ..molecule import Molecule from ..pdict import PreservingDict from .worker im...

28.834951

102

0.605724

689

5,940

5.145138

0.306241

0.043441

0.023695

0.028209

0.151763

0.137095

0.113399

0.101834

0.067419

0

0.018198

0.222896

5,940

205

103

28.97561

0.749783

0.306397

0

0.14

0

0.152803

0

0.004878

0

1

0.04

false

0.01

0.15

0

0.24

0.03

0

null

0

null

0

1

0

e39ec861b279f059e70d4bea0eec9d21d1b19ced

6,784

py

Python

MyBot.py

joebieb/halite

da389aa8e9f97a0ac6a417ca53023609376c0dc6

[ "MIT" ]

null

MyBot.py

joebieb/halite

da389aa8e9f97a0ac6a417ca53023609376c0dc6

[ "MIT" ]

null

MyBot.py

joebieb/halite

da389aa8e9f97a0ac6a417ca53023609376c0dc6

[ "MIT" ]

null

import hlt import logging from collections import OrderedDict # GAME START game = hlt.Game("Spoof_v7") logging.info('Starting my %s bot!', game._name) TURN = 0 def navigate(ship, entity, multiplier = 1): navigate_command = ship.navigate( ship.closest_point_to(entity), game_map, speed=int(h...

48.457143

223

0.658461

920

6,784

4.578261

0.161957

0.066477

0.106838

0.074074

0.533001

0.444207

0.364672

0.318139

0.211064

0.191595

0

0.007027

0.265772

6,784

139

224

48.805755

0.838587

0.169959

0

0.182796

0

0.00482

0

1

0.021505

false

0

0.032258

0

0.053763

0

null

0

null

0

1

0

e39f7df5983d058b6f0e12ddeb89dfebc298ff47

2,875

py

Python

test/test_horizons.py

bluePhlavio/eph

9ad8d753ba70d7ed147a591c4181edd56b9533cc

[ "MIT" ]

1

2021-05-07T23:35:32.000Z

test/test_horizons.py

bluePhlavio/eph

9ad8d753ba70d7ed147a591c4181edd56b9533cc

[ "MIT" ]

8

2019-11-02T01:04:26.000Z

2021-06-02T00:01:37.000Z

test/test_horizons.py

bluePhlavio/eph

9ad8d753ba70d7ed147a591c4181edd56b9533cc

[ "MIT" ]

1

2019-03-20T13:55:52.000Z

import pytest from eph.horizons import * @pytest.fixture(params=[ ('earth', '399'), ('\'earth\'', '399'), ('Earth', '399'), ('399', '399'), ('\'399\'', '399'), ('pluto', 'pluto'), ]) def codify_obj_data(request): return request.param def test_codify_obj(codify_obj_data): data, resul...

21.455224

67

0.614261

338

2,875

5.02071

0.180473

0.038892

0.08957

0.113141

0.434885

0.321155

0.30053

0.173247

0.076606

0

0.052972

0.192348

2,875

133

68

21.616541

0.677864

0

0.3

0

0.137043

0

0.1

1

0.16

false

0

0.02

0.08

0.26

0

null

0

null

0

1

0

e3a225a979c9b3bf4e5e8bd9eaea65a272da293b

14,693

py

Python

RasaMakeupRobot/script/dst/trade/utils.py

xiaobuguilaile/rasa-conversational-robot

05f03c8e928a7c6bef284cdc18a89ef423977974

[ "Apache-2.0" ]

2

2021-01-05T08:56:54.000Z

2021-01-22T06:05:55.000Z

script/dst/trade/utils.py

qq751220449/xbot

557793302badfce1c0befa81de8948da99c0baae

[ "MIT" ]

null

script/dst/trade/utils.py

qq751220449/xbot

557793302badfce1c0befa81de8948da99c0baae

[ "MIT" ]

null

import os import bz2 import json import random import pickle from collections import defaultdict, Counter from tqdm import tqdm import torch from data.crosswoz.data_process.dst.trade_preprocess import ( EXPERIMENT_DOMAINS, Lang, get_seq, get_slot_information, ) class CNEmbedding: def __init__(s...

33.699541

107

0.562445

1,868

14,693

4.179336

0.164882

0.024209

0.015371

0.009607

0.205713

0.153836

0.126937

0.103881

0.054054

0.039196

0

0.014783

0.323215

14,693

435

108

33.777011

0.770314

0.094535

0

0.129231

0

0.086124

0.003797

0

0.002299

0

1

0.036923

false

0

0.027692

0

0.098462

0.043077

0

null

0

null

0

1

0

e3a3386ce9240964c1a178b8bb4fca5a690e725d

789

py

Python

pharmrep/reports/urls.py

boyombo/pharmrep

2293ceb235dec949c58fa40d1ee43fce172e0ceb

[ "MIT" ]

null

pharmrep/reports/urls.py

boyombo/pharmrep

2293ceb235dec949c58fa40d1ee43fce172e0ceb

[ "MIT" ]

null

pharmrep/reports/urls.py

boyombo/pharmrep

2293ceb235dec949c58fa40d1ee43fce172e0ceb

[ "MIT" ]

null

from django.conf.urls import url from django.views.generic import TemplateView from reports import views urlpatterns = [ url(r'balance/$', views.balance, name='report_balance'), url(r'performance/$', views.performance, name='report_performance'), url(r'last_activity/$', views.last_activity, name='last_ac...

39.45

75

0.714829

98

789

5.561224

0.326531

0.051376

0.099083

0.143119

0.20367

0

0.130545

789

19

76

41.526316

0.794461

0

0.324461

0.09379

0

1

0

false

0

0.1875

0

0.1875

0

null

0

null

0

1

0

e3a40b62615cdac16bdbd6f21218bc07a791e56b

4,030

py

Python

validate_submission.py

ChunghyunPark/semantic-kitti-api

8863f21cb05fd99667b4a1bb755cc432c430c9fe

[ "MIT" ]

1

2019-10-18T15:12:24.000Z

validate_submission.py

ZiyiLiubird/semantic-kitti-api

9a6366264b1fd95d7a84e05bd41659524fd9fd32

[ "MIT" ]

null

validate_submission.py

ZiyiLiubird/semantic-kitti-api

9a6366264b1fd95d7a84e05bd41659524fd9fd32

[ "MIT" ]

1

2019-10-11T22:30:53.000Z

#!/usr/bin/env python3 # This file is covered by the LICENSE file in the root of this project. import zipfile import argparse import os class ValidationException(Exception): pass if __name__ == "__main__": parser = argparse.ArgumentParser( description="Validate a submission zip file needed to evaluate on...

39.90099

390

0.657072

468

4,030

5.553419

0.34188

0.01616

0.024625

0.02424

0.168911

0.131204

0.112351

0

0.017572

0.223325

4,030

100

391

40.3

0.81278

0.028288

0

0.157143

0

0.028571

0.300281

0.017378

0

0.01

0

1

0

false

0.014286

0.042857

0

0.057143

0.128571

0

null

0

null

0

1

0

e3a5131242de5ad9d1dfff7bb93f08796a6b50ce

5,231

py

Python

sheldon_behaviors/ship_behavior/scripts/behavior_service.py

shinselrobots/sheldon

911148cd82d28e37aebc5e083fbf830d1c9768ab

[ "Apache-2.0" ]

1

2021-01-02T18:17:52.000Z

sheldon_behaviors/ship_behavior/scripts/behavior_service.py

shinselrobots/sheldon

911148cd82d28e37aebc5e083fbf830d1c9768ab

[ "Apache-2.0" ]

null

sheldon_behaviors/ship_behavior/scripts/behavior_service.py

shinselrobots/sheldon

911148cd82d28e37aebc5e083fbf830d1c9768ab

[ "Apache-2.0" ]

4

2017-09-16T03:56:01.000Z

2018-09-19T02:15:57.000Z

#! /usr/bin/env python # License: Apache 2.0. See LICENSE file in root directory. # # For simple behaviors that can run syncronously, Python provides # a simple way to implement this. Add the work of your behavior # in the execute_cb callback # import rospy import actionlib import behavior_common.msg import time imp...

36.326389

150

0.676161

689

5,231

4.889695

0.312046

0.039181

0.029089

0.020778

0.236272

0.128822

0.051647

0.027308

0

0.01771

0.233607

5,231

143

151

36.58042

0.822649

0.253106

0

0.05

0

0.135212

0.019648

0

1

0.025

false

0

0.2

0

0.2625

0

null

0

null

0

1

0

e3a55d32d7c5a654a176400a4c92296634a021f4

7,831

py

Python

src/core/utils/bert_utils.py

joe3d1998/GraphFlow

8a751e4fc69a1e0c06ded23b7d1096f3161931a1

[ "Apache-2.0" ]

30

2019-08-18T21:56:20.000Z

2022-03-18T10:04:02.000Z

src/core/utils/bert_utils.py

joe3d1998/GraphFlow

8a751e4fc69a1e0c06ded23b7d1096f3161931a1

[ "Apache-2.0" ]

2

2019-11-12T02:28:36.000Z

2022-03-20T05:27:05.000Z

src/core/utils/bert_utils.py

joe3d1998/GraphFlow

8a751e4fc69a1e0c06ded23b7d1096f3161931a1

[ "Apache-2.0" ]

11

2020-02-17T02:47:26.000Z

2021-09-05T05:37:29.000Z

from collections import defaultdict, namedtuple import torch # When using the sliding window trick for long sequences, # we take the representation of each token with maximal context. # Take average of the BERT embeddings of these BPE sub-tokens # as the embedding for the word. # Take *weighted* average of the word ...

38.960199

99

0.70106

1,207

7,831

4.236951

0.175642

0.041064

0.035198

0.036566

0.465585

0.413766

0.37544

0.356864

0.309738

0.295268

0

0.007211

0.220789

7,831

200

100

39.155

0.830875

0.240838

0

0.240602

0

0.004758

0

1

0.037594

false

0

0.015038

0

0.090226

0

null

0

null

0

1

0

e3a9a5af8690681698031e1a127157f06eef690e

3,850

py

Python

fronteira_eficiente2.py

samuelbarrosm/Python-for-finances-

e1fd118b05f6efa2c4c72e88c5b2bf028d120c45

[ "MIT" ]

null

fronteira_eficiente2.py

samuelbarrosm/Python-for-finances-

e1fd118b05f6efa2c4c72e88c5b2bf028d120c45

[ "MIT" ]

null

fronteira_eficiente2.py

samuelbarrosm/Python-for-finances-

e1fd118b05f6efa2c4c72e88c5b2bf028d120c45

[ "MIT" ]

null

#Esse codigo é utilizado para calcular a fronteira eficiente de um portfolio #Esse codigo tem como objetivo avaliar a eficiencia das de um portfolio import numpy as np import pandas as pd import matplotlib.pyplot as plt from pandas_datareader import data as wb assets = ['PG', '^GSPC'] pf_data = pd.Dat...

36.666667

127

0.744416

588

3,850

4.809524

0.396259

0.049505

0.021216

0.153819

0.13331

0.099364

0

0.019969

0.167532

3,850

104

128

37.019231

0.862403

0.525714

0

0.1

0

0.081017

0

0.009615

0

1

0

false

0

0.1

0

0.1

0.025

0

null

0

null

0

1

0

e3aa8e55cd8c639086caeeedaf341d4860bf12f5

1,657

py

Python

cvtData.py

leduchust/ST-GCN_HAR

778e7931b24eaa7d78b5a61216bb9a7a2ad6ab9e

[ "MIT" ]

null

cvtData.py

leduchust/ST-GCN_HAR

778e7931b24eaa7d78b5a61216bb9a7a2ad6ab9e

[ "MIT" ]

null

cvtData.py

leduchust/ST-GCN_HAR

778e7931b24eaa7d78b5a61216bb9a7a2ad6ab9e

[ "MIT" ]

null

import os import numpy as np import tqdm as tqdm def cvt_Data(): if not os.path.exists('./fphab_data/newData'): os.mkdir('./fphab_data/newData') #for i in range(1,7): # os.mkdir('./fphab_data/newData/Subject_'+str(i)) subject_list=os.listdir('./fphab_dat...

36.021739

116

0.388654

172

1,657

3.610465

0.337209

0.115942

0.10306

0.086957

0.222222

0.122383

0

0.013793

0.474955

1,657

46

117

36.021739

0.7

0.119493

0

0.118608

0.014915

0

1

0.034483

false

0

0.103448

0

0.137931

0.034483

0

null

0

null

0

1

0

e3aac0da41e8ebd49fe3952b0e96fb25ef7523c4

2,412

py

Python

src/zope/app/applicationcontrol/browser/runtimeinfo.py

zopefoundation/zope.app.applicationcontrol

de7b160dde9ce01f65af5412a984065c5a1a9284

[ "ZPL-2.1" ]

null

src/zope/app/applicationcontrol/browser/runtimeinfo.py

zopefoundation/zope.app.applicationcontrol

de7b160dde9ce01f65af5412a984065c5a1a9284

[ "ZPL-2.1" ]

4

2017-05-02T18:43:09.000Z

2021-09-20T06:29:14.000Z

src/zope/app/applicationcontrol/browser/runtimeinfo.py

zopefoundation/zope.app.applicationcontrol

de7b160dde9ce01f65af5412a984065c5a1a9284

[ "ZPL-2.1" ]

1

2015-04-03T07:25:44.000Z

############################################################################## # # Copyright (c) 2001, 2002 Zope Foundation and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # TH...

33.5

78

0.563018

223

2,412

6.008969

0.556054

0.033582

0.020896

0.043284

0

0.013769

0.277363

2,412

71

79

33.971831

0.75502

0.240464

0

0.086957

0

0.14484

0.018105

0

1

0.065217

false

0.021739

0.043478

0

0.23913

0

null

0

null

0

1

0

e3af0c54fc348474f9b9d9f22f0f2e2bbfffd5d0

4,049

py

Python

Dragon/python/dragon/vm/tensorflow/contrib/learn/datasets/base.py

neopenx/Dragon

0e639a7319035ddc81918bd3df059230436ee0a1

[ "BSD-2-Clause" ]

212

2015-07-05T07:57:17.000Z

2022-02-27T01:55:35.000Z

Dragon/python/dragon/vm/tensorflow/contrib/learn/datasets/base.py

neopenx/Dragon

0e639a7319035ddc81918bd3df059230436ee0a1

[ "BSD-2-Clause" ]

6

2016-07-07T14:31:56.000Z

2017-12-12T02:21:15.000Z

Dragon/python/dragon/vm/tensorflow/contrib/learn/datasets/base.py

neopenx/Dragon

0e639a7319035ddc81918bd3df059230436ee0a1

[ "BSD-2-Clause" ]

71

2016-03-24T09:02:41.000Z

2021-06-03T01:52:41.000Z

# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...

32.918699

80

0.637935

511

4,049

4.945205

0.405088

0.030471

0.01108

0.012663

0.022161

0

0.012004

0.259323

4,049

122

81

33.188525

0.83061

0.43838

0

0.034483

0

0.058496

0

1

0.12069

false

0

0.155172

0.034483

0.396552

0.034483

0

null

0

null

0

1

0

e3b045a473bd87ba50f0bc065652bd367fcdfb8d

19,208

py

Python

iSearch/isearch.py

Twilightgo/iSearch

600398dc22c07ef1211209769f9fda4d2c1151d7

[ "MIT" ]

null

iSearch/isearch.py

Twilightgo/iSearch

600398dc22c07ef1211209769f9fda4d2c1151d7

[ "MIT" ]

null

iSearch/isearch.py

Twilightgo/iSearch

600398dc22c07ef1211209769f9fda4d2c1151d7

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import print_function, unicode_literals import sys import argparse import os import re import sqlite3 import requests import bs4 from termcolor import colored # Python2 compatibility if sys.version_info[0] == 2: reload(sys) sys.setdefaultencoding('utf-8') # Default data...

32.834188

112

0.508434

2,402

19,208

4.002498

0.137386

0.032453

0.031829

0.024756

0.470252

0.425213

0.359892

0.336072

0.319222

0.309861

0

0.018618

0.323303

19,208

584

113

32.890411

0.719649

0.053259

0

0.402626

0

0.039387

0.184126

0.003816

0.006565

0

1

0.030635

false

0.002188

0.019694

0

0.054705

0.131291

0

null

0

null

0

1

0

e3b1ad3f8a41b03310d872dbf885d93f88101fcf

4,925

py

Python

models/gcn.py

Louis-udm/Word-Grounded-Graph-Convolutional-Network

4c90bff0ec8bcdd8994154eead0efb5a3caefca7

[ "MIT" ]

null

models/gcn.py

Louis-udm/Word-Grounded-Graph-Convolutional-Network

4c90bff0ec8bcdd8994154eead0efb5a3caefca7

[ "MIT" ]

null

models/gcn.py

Louis-udm/Word-Grounded-Graph-Convolutional-Network

4c90bff0ec8bcdd8994154eead0efb5a3caefca7

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Title: GCN models Description: The original Graph convolutional network model and GCN layer. Refer to: https://arxiv.org/abs/1609.02907 """ # ======================================= # @author Zhibin.Lu # @email zhibin.lu@umontreal.ca # ==============================...

24.502488

72

0.520406

560

4,925

4.401786

0.214286

0.045436

0.026775

0.029209

0.602028

0.515213

0.460852

0.424341

0.331846

0

0.011494

0.364061

4,925

200

73

24.625

0.775543

0.156954

0

0.7

0

0.013041

0

1

0.046154

false

0

0.053846

0

0.146154

0

null

0

null

0

1

0

e3b1ba519d604af495caccc117a36b3a9bff6079

2,513

py

Python

tabledefinition/generate_table_definitions_for_solana.py

blockchain-etl/evmchain-etl-table-definition-cli

033d7e8ddc33f47378547a304b2688df3a0a3746

[ "MIT" ]

1

2022-03-04T11:24:31.000Z

tabledefinition/generate_table_definitions_for_solana.py

blockchain-etl/evmchain-etl-table-definition-cli

033d7e8ddc33f47378547a304b2688df3a0a3746

[ "MIT" ]

null

tabledefinition/generate_table_definitions_for_solana.py

blockchain-etl/evmchain-etl-table-definition-cli

033d7e8ddc33f47378547a304b2688df3a0a3746

[ "MIT" ]

null

SOLIDITY_TO_BQ_TYPES = { 'address': 'STRING', } table_description = '' def abi_to_table_definitions_for_solana( abi, dataset_name, contract_name, contract_address=None, include_functions=False ): result = {} for a in abi.get('events') if abi.get('events') else []: ...

32.217949

119

0.578591

277

2,513

4.949458

0.216607

0.102115

0.091904

0.112327

0.356674

0.284464

0.191101

0

0.304417

2,513

77

120

32.636364

0.784325

0.024274

0

0.181818

0

0.139649

0

1

0.060606

false

0

0.015152

0.136364

0

null

0

null

0

1

0

e3b286c18d71e706ee97d4e448587e741b1515a4

587

py

Python

number-guessing-game.py

DataSciPyCodes/Python-Projects

0c62477f2177d6ec7431875da6aa53778a790bf6

[ "MIT" ]

null

number-guessing-game.py

DataSciPyCodes/Python-Projects

0c62477f2177d6ec7431875da6aa53778a790bf6

[ "MIT" ]

null

number-guessing-game.py

DataSciPyCodes/Python-Projects

0c62477f2177d6ec7431875da6aa53778a790bf6

[ "MIT" ]

null

#Method-1 guess the number game import random number = random.randint(1,10) guess = 0 count = 0 print("You can exit the game anytime. Just enter 'exit'.") while guess != number and guess != "exit": guess = input("Guess a number between 1 to 10 :- ") if guess == "exit": print("Closing the game...") ...

23.48

58

0.577513

79

587

4.291139

0.506329

0.097345

0.094395

0.112094

0

0.023981

0.289608

587

24

59

24.458333

0.788969

0.051107

0

0.318345

0

1

0

false

0

0.052632

0

0.052632

0.315789

0

null

0

null

0

1

0

e3b312bcfe15753efff73463e7b650e5bc126303

10,014

py

Python

docking/dock_and_equilibrate.py

proteneer/timemachine

feee9f24adcb533ab9e1c15a3f4fa4dcc9d9a701

[ "Apache-2.0" ]

91

2019-01-05T17:03:04.000Z

2022-03-11T09:08:46.000Z

docking/dock_and_equilibrate.py

proteneer/timemachine

feee9f24adcb533ab9e1c15a3f4fa4dcc9d9a701

[ "Apache-2.0" ]

474

2019-01-07T14:33:15.000Z

2022-03-31T19:15:12.000Z

docking/dock_and_equilibrate.py

proteneer/timemachine

feee9f24adcb533ab9e1c15a3f4fa4dcc9d9a701

[ "Apache-2.0" ]

12

2019-01-13T00:40:36.000Z

2022-01-14T10:23:54.000Z

"""Solvates a host, inserts guest(s) into solvated host, equilibrates """ import os import time import tempfile import numpy as np from rdkit import Chem from md import builders, minimizer from fe import pdb_writer, free_energy from ff import Forcefield from ff.handlers.deserialize import deserialize_handlers from t...

33.049505

105

0.603056

1,227

10,014

4.677262

0.264059

0.039728

0.023698

0.012546

0.208747

0.139746

0.118836

0.11326

0.096533

0

0.017693

0.305772

10,014

302

106

33.15894

0.807825

0.178051

0

0.224215

0

0.139331

0.019005

0

0.003311

0

1

0.008969

false

0

0.053812

0

0.06278

0.035874

0

null

0

null

0

1

0

e3b8e41843e13fa56ad91af90735c93477b63c0f

2,940

py

Python

lib/pyexcel/pyexcel/sources/file_source_output.py

logice/QQ-Groups-Spider

a161282c6832ed40183905e96205edb5a57e8a05

[ "MIT" ]

null

lib/pyexcel/pyexcel/sources/file_source_output.py

logice/QQ-Groups-Spider

a161282c6832ed40183905e96205edb5a57e8a05

[ "MIT" ]

null

lib/pyexcel/pyexcel/sources/file_source_output.py

logice/QQ-Groups-Spider

a161282c6832ed40183905e96205edb5a57e8a05

[ "MIT" ]

1

2021-04-12T07:48:42.000Z

""" pyexcel.sources.file ~~~~~~~~~~~~~~~~~~~ Representation of file sources :copyright: (c) 2015-2016 by Onni Software Ltd. :license: New BSD License """ from pyexcel import params from pyexcel.factory import FileSource from pyexcel.sources.rendererfactory import RendererFactory from...

27.735849

76

0.618707

314

2,940

5.605096

0.286624

0.040909

0.027273

0.036364

0.3

0.213636

0.186364

0

0.004308

0.289456

2,940

105

77

28

0.8382

0.129252

0

0.290323

0

0.000419

0

1

0.112903

false

0.016129

0.096774

0

0.435484

0

null

0

null

0

1

0

e3b964ad8299bef44ea12f1a518924e1fbba8289

920

py

Python

setup.py

vmyrgiotis/MDF_DALEC_Grass

fdd168ce7845c925f8e95fc792e2204b440cca2e

[ "CC0-1.0" ]

null

setup.py

vmyrgiotis/MDF_DALEC_Grass

fdd168ce7845c925f8e95fc792e2204b440cca2e

[ "CC0-1.0" ]

null

setup.py

vmyrgiotis/MDF_DALEC_Grass

fdd168ce7845c925f8e95fc792e2204b440cca2e

[ "CC0-1.0" ]

null

import pathlib from setuptools import setup, find_packages HERE = pathlib.Path(__file__).parent VERSION = '0.1.0' PACKAGE_NAME = 'MDF_DALEC_GRASS' AUTHOR = 'Vasilis Myrgiotis' AUTHOR_EMAIL = 'v.myrgioti@ed.ac.uk' URL = 'https://github.com/vmyrgiotis/MDF_DALEC_GRASS' LICENSE = 'MIT' DESCRIPTION = 'A Bayesian model-da...

28.75

117

0.773913

119

920

5.731092

0.605042

0.087977

0.11437

0.087977

0.082111

0

0.006053

0.102174

920

31

118

29.677419

0.819613

0

0.31413

0

1

0

false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

e3ba2aa1467f1469e9c62d6360d6ba267f4c6b98

752

py

Python

setup.py

guma44/croo

5cddee4c3163698cd9f265638e76671fef415baa

[ "MIT" ]

null

setup.py

guma44/croo

5cddee4c3163698cd9f265638e76671fef415baa

[ "MIT" ]

null

setup.py

guma44/croo

5cddee4c3163698cd9f265638e76671fef415baa

[ "MIT" ]

null

import setuptools from croo import croo_args with open('README.md', 'r') as fh: long_description = fh.read() setuptools.setup( name='croo', version=croo_args.__version__, scripts=['bin/croo'], python_requires='>3.4.1', author='Jin Lee', author_email='leepc12@gmail.com', description='CR...

28.923077

68

0.666223

87

752

5.574713

0.712644

0.123711

0.078351

0.123711

0

0.009788

0.18484

752

25

69

30.08

0.781403

0

0.329787

0

1

0

false

0

0.086957

0

0.086957

0

null

0

null

0

1

0

e3bc8d2fb6f6907f9468220745bf4d9d7f0ccd81

5,142

py

Python

source/estimators/estimator.py

mingweima/rldsge

ad40af982f455b65c5f407f6aa082e4caf7322a6

[ "MIT" ]

null

source/estimators/estimator.py

mingweima/rldsge

ad40af982f455b65c5f407f6aa082e4caf7322a6

[ "MIT" ]

null

source/estimators/estimator.py

mingweima/rldsge

ad40af982f455b65c5f407f6aa082e4caf7322a6

[ "MIT" ]

null

from typing import Dict import numpy as np from ..envs.env import StructuralModel from ..utils.lik_func import * from ..utils.useful_class import ParameterGrid class Estimator(ABC): """An Estimator takes in a (trained) solver and relevant params and outputs estimated structural params """ def __...

42.495868

112

0.632828

666

5,142

4.653153

0.234234

0.121007

0.091965

0.046789

0.198128

0.133914

0.112617

0.101

0.063246

0

0.008947

0.260988

5,142

120

113

42.85

0.806579

0.181252

0

0.068966

0

0.06335

0.014806

0

0.008333

0.057471

1

0.08046

false

0

0.057471

0

0.218391

0.011494

0

null

0

null

0

1

0

e3bd47079e9b2036b424cb4e9c92e2174a230006

1,269

py

Python

Algorithm.Python/OptionDataNullReferenceRegressionAlgorithm.py

BlackBoxAM/Lean

5ea9f04b104d27f0fcfe3a383a3a60ca12206d99

[ "Apache-2.0" ]

6,580

2015-01-12T16:48:44.000Z

2022-03-31T22:05:09.000Z

Algorithm.Python/OptionDataNullReferenceRegressionAlgorithm.py

BlackBoxAM/Lean

5ea9f04b104d27f0fcfe3a383a3a60ca12206d99

[ "Apache-2.0" ]

3,392

2015-01-12T17:44:07.000Z

2022-03-30T20:34:03.000Z

Algorithm.Python/OptionDataNullReferenceRegressionAlgorithm.py

BlackBoxAM/Lean

5ea9f04b104d27f0fcfe3a383a3a60ca12206d99

[ "Apache-2.0" ]

3,354

2015-01-12T16:58:31.000Z

2022-03-31T00:56:03.000Z

# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. # Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the Licen...

37.323529

98

0.735225

164

1,269

5.689024

0.682927

0.064309

0.027867

0.034298

0

0.041945

0.173365

1,269

33

99

38.454545

0.847474

0.588652

0

0.016064

0

1

0.181818

false

0

0.090909

0.454545

0

null

0

null

0

1

0

e3bda12509b429c895c643f26b992aa471887764

1,371

py

Python

examples/sharedlinks/sharedlinks-backend/links/models.py

gcbirzan/django-rest-registration

1a9da937c283d03d1fce1a68322a702e14692c79

[ "MIT" ]

329

2018-05-09T13:10:37.000Z

2022-03-25T11:05:20.000Z

examples/sharedlinks/sharedlinks-backend/links/models.py

gcbirzan/django-rest-registration

1a9da937c283d03d1fce1a68322a702e14692c79

[ "MIT" ]

167

2018-04-21T00:28:17.000Z

2022-03-30T09:24:52.000Z

examples/sharedlinks/sharedlinks-backend/links/models.py

gcbirzan/django-rest-registration

1a9da937c283d03d1fce1a68322a702e14692c79

[ "MIT" ]

97

2018-05-09T14:17:59.000Z

2022-02-23T08:46:30.000Z

from django.db import models from django.contrib.auth.models import User class Link(models.Model): url = models.URLField() title = models.CharField(max_length=255) reporter = models.ForeignKey( User, on_delete=models.SET_NULL, related_name='reported_links', null=True, ...

23.637931

68

0.592268

154

1,371

5.097403

0.376623

0.061147

0.053503

0.056051

0.208917

0.132484

0

0.003096

0.293217

1,371

57

69

24.052632

0.807018

0

0.26087

0

0.090445

0

1

0.086957

false

0

0.043478

0.065217

0.434783

0

null

0

null

0

1

0

e3bdcff4bd778ceff3ed0e2ca2a1821228f999c6

7,106

py

Python

hpc_rll/rl_utils/ppo.py

mingzhang96/DI-hpc

5431c283a91b77df7c6a86fb0affa60099d4bb31

[ "Apache-2.0" ]

64

2021-07-08T02:18:08.000Z

2022-02-28T09:52:57.000Z

hpc_rll/rl_utils/ppo.py

mingzhang96/DI-hpc

5431c283a91b77df7c6a86fb0affa60099d4bb31

[ "Apache-2.0" ]

null

hpc_rll/rl_utils/ppo.py

mingzhang96/DI-hpc

5431c283a91b77df7c6a86fb0affa60099d4bb31

[ "Apache-2.0" ]

3

2021-07-14T08:58:45.000Z

2022-03-30T12:36:46.000Z

import torch import torch.nn.functional as F from typing import Optional from collections import namedtuple import hpc_rl_utils # hpc version only support cuda hpc_ppo_loss = namedtuple('hpc_ppo_loss', ['policy_loss', 'value_loss', 'entropy_loss']) hpc_ppo_info = namedtuple('hpc_ppo_info', ['approx_kl', 'clipfrac']) ...

47.373333

192

0.659161

981

7,106

4.466871

0.181448

0.069831

0.057508

0.073026

0.452305

0.415792

0.370151

0.323825

0.298266

0.239845

0

0.007739

0.236279

7,106

149

193

47.691275

0.799705

0.245567

0

0.069767

0

0.075805

0.012962

0

0.104651

1

0.046512

false

0

0.05814

0

0.162791

0

null

0

null

0

1

0

e3be7a53e508b992ad117b38ccc98afaeeef9017

1,069

py

Python

src/monitoring_service/metrics.py

netcriptus/raiden-services

3955d91852c616f6ba0a3a979757edbd852b2c6d

[ "MIT" ]

13

2019-02-07T23:23:33.000Z

2021-07-03T16:00:53.000Z

src/monitoring_service/metrics.py

netcriptus/raiden-services

3955d91852c616f6ba0a3a979757edbd852b2c6d

[ "MIT" ]

1,095

2019-01-21T09:30:57.000Z

2022-03-25T05:13:30.000Z

src/monitoring_service/metrics.py

netcriptus/raiden-services

3955d91852c616f6ba0a3a979757edbd852b2c6d

[ "MIT" ]

18

2019-01-21T09:17:19.000Z

2022-02-23T15:53:17.000Z

from prometheus_client import Counter from raiden.utils.typing import TokenAmount from raiden_libs.metrics import ( # noqa: F401, pylint: disable=unused-import ERRORS_LOGGED, EVENTS_EXCEPTIONS_RAISED, EVENTS_PROCESSING_TIME, MESSAGES_EXCEPTIONS_RAISED, MESSAGES_PROCESSING_TIME, REGISTRY, E...

25.452381

78

0.750234

129

1,069

5.883721

0.449612

0.142292

0.051383

0.071146

0.210804

0.131752

0

0.003367

0.166511

1,069

41

79

26.073171

0.848485

0.038354

0

0.121212

0

0.165692

0.073099

0

1

0.030303

false

0

0.090909

0

0.212121

0

null

0

null

0

1

0

e3be9c37370787ab104874a6e05f24ddb94436e5

9,774

py

Python

helper/fetch_funcdata.py

SysSec-KAIST/FirmKit

6d8408e1336ed0b5d42d9722e0918888b3f3b424

[ "MIT" ]

3

2022-01-05T22:04:09.000Z

2022-03-28T07:01:48.000Z

helper/fetch_funcdata.py

SysSec-KAIST/FirmKit

6d8408e1336ed0b5d42d9722e0918888b3f3b424

[ "MIT" ]

null

helper/fetch_funcdata.py

SysSec-KAIST/FirmKit

6d8408e1336ed0b5d42d9722e0918888b3f3b424

[ "MIT" ]

null

# modified from TikNib/tiknib/ida/fetch_funcdata_v7.5.py import os import sys import string from hashlib import sha1 from collections import defaultdict import time import pprint as pp import idautils import idc import idaapi import ida_pro import ida_nalt import ida_bytes sys.path.append(os.path....

34.294737

89

0.561797

1,195

9,774

4.333054

0.198326

0.029355

0.021244

0.019699

0.219003

0.106798

0.098687

0.080919

0.074546

0.045191

0

0.004974

0.341825

9,774

284

90

34.415493

0.799938

0.121752

0

0.074074

0

0.038341

0

0.003521

0

1

0.032407

false

0

0.083333

0

0.148148

0.037037

0

null

0

null

0

1

0

e3c455dcd759b47e6ff022d0f28b6d8b03f6c49a

10,382

py

Python

src/org_setup/resources/organizations.py

gilyas/aws-control-tower-org-setup-sample

65c1a1a0c7b7bb362dff1924f38f63bd8c3a8e41

[ "MIT-0" ]

null

src/org_setup/resources/organizations.py

gilyas/aws-control-tower-org-setup-sample

65c1a1a0c7b7bb362dff1924f38f63bd8c3a8e41

[ "MIT-0" ]

null

src/org_setup/resources/organizations.py

gilyas/aws-control-tower-org-setup-sample

65c1a1a0c7b7bb362dff1924f38f63bd8c3a8e41

[ "MIT-0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * SPDX-License-Identifier: MIT-0 * * 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...

37.345324

119

0.573974

1,092

10,382

5.313187

0.203297

0.037918

0.039814

0.031368

0.389176

0.323509

0.250086

0.185798

0.131334

0.115822

0

0.000868

0.334232

10,382

277

120

37.480144

0.838542

0.141784

0

0.284211

0

0.220745

0.04105

0

1

0.063158

false

0

0.042105

0

0.173684

0

null

0

null

0

1

0

e3c4a465fcdd23d8bc979d0237347d3db4337947

2,095

py

Python

clint/textui/core.py

mpmman/clint

9d3693d644b8587d985972b6075d970096f6439e

[ "0BSD" ]

1,230

2015-01-03T05:39:25.000Z

2020-02-18T12:36:03.000Z

clint/textui/core.py

not-kennethreitz/clint

9d3693d644b8587d985972b6075d970096f6439e

[ "0BSD" ]

50

2015-01-06T17:58:20.000Z

2018-03-19T13:25:22.000Z

clint/textui/core.py

not-kennethreitz/clint

9d3693d644b8587d985972b6075d970096f6439e

[ "0BSD" ]

153

2015-01-03T03:56:25.000Z

2020-02-13T20:59:03.000Z

# -*- coding: utf-8 -*- """ clint.textui.core ~~~~~~~~~~~~~~~~~ Core TextUI functionality for Puts/Indent/Writer. """ from __future__ import absolute_import import sys from contextlib import contextmanager from .formatters import max_width, min_width, _get_max_width_context from .cols import columns from ..util...

21.822917

74

0.602864

253

2,095

4.794466

0.332016

0.052762

0.027205

0.026381

0

0.005041

0.242482

2,095

95

75

22.052632

0.759294

0.190931

0

0.074074

0

0.047273

0

1

0.111111

false

0

0.111111

0

0.240741

0

null

0

null

0

1

0

e3c99e6c753a7603c000c4cebf8d2e0f312189b5

901

py

Python

data/colors-extractor.py

imlolman/Flat-UI-Colors-Chrome-App

d12010360dfeb1d38e8923dbe0fa5c51640b7314

[ "BSD-Source-Code" ]

1

2021-04-23T13:33:16.000Z

data/colors-extractor.py

imlolman/Flat-UI-Colors-Chrome-App

d12010360dfeb1d38e8923dbe0fa5c51640b7314

[ "BSD-Source-Code" ]

null

data/colors-extractor.py

imlolman/Flat-UI-Colors-Chrome-App

d12010360dfeb1d38e8923dbe0fa5c51640b7314

[ "BSD-Source-Code" ]

null

from bs4 import BeautifulSoup import json source = open('html-source.html', encoding="utf8").read() soup = BeautifulSoup(source, 'html.parser') # Prittified to look and understand the structure of Code # prittified = soup.prettify().encode("utf-8") # open('prettified.html', 'wb').write(prittified) color_sets = [] ...

32.178571

71

0.627081

114

901

4.894737

0.526316

0.064516

0.050179

0

0.005291

0.160932

901

27

72

33.37037

0.732804

0.164262

0

0.285714

0.029373

0

1

0

false

0

0.117647

0

0.117647

0.058824

0

null

0

null

0

1

0

e3ca5e822898bbe283aa33628cdf89af94b959cf

2,005

py

Python

preprocessing.py

Y-greatigr/Covid19_Model

30fc0af1ac6c7f68bf072607ee0db194f8c8093a

[ "MIT" ]

null

preprocessing.py

Y-greatigr/Covid19_Model

30fc0af1ac6c7f68bf072607ee0db194f8c8093a

[ "MIT" ]

null

preprocessing.py

Y-greatigr/Covid19_Model

30fc0af1ac6c7f68bf072607ee0db194f8c8093a

[ "MIT" ]

null

# 데이터를 가져온다. # 학습 직전의 데이터를 가공하는 역할을 맡는다. import numpy as np import os import options as opt import datetime from sklearn.model_selection import train_test_split from sklearn.preprocessing import Normalizer import joblib def date_to_number(date): # 글자로 표현된 날짜를 숫자로 바꾼다. # ex) 'Dec/1' -> '12/1' ...

28.642857

98

0.551122

313

2,005

3.450479

0.399361

0.011111

0.033333

0.024074

0.087037

0.055556

0

0.037139

0.274813

2,005

69

99

29.057971

0.70564

0.141646

0

0.086957

0

0.0482

0

1

0.086957

false

0

0.152174

0

0.326087

0.086957

0

null

0

null

0

1

0

e3cbbca95424c00d63673acba3c061a2db999558

644

py

Python

tests/settings.py

team23/django_t10e

f25e8ac6507e05968d2dbf1003ec4cb9f35b627e

[ "BSD-3-Clause" ]

null

tests/settings.py

team23/django_t10e

f25e8ac6507e05968d2dbf1003ec4cb9f35b627e

[ "BSD-3-Clause" ]

2

2016-03-22T15:31:38.000Z

2016-04-05T08:59:39.000Z

tests/settings.py

team23/django_t10e

f25e8ac6507e05968d2dbf1003ec4cb9f35b627e

[ "BSD-3-Clause" ]

null

import os import warnings warnings.simplefilter('always') test_dir = os.path.dirname(os.path.abspath(__file__)) DATABASES = { 'default': { 'NAME': os.path.join(test_dir, 'db.sqlite'), 'ENGINE': 'django.db.backends.sqlite3', }, } USE_I18N = True USE_L10N = True INSTALLED_APPS = [ 'django....

16.512821

62

0.669255

74

644

5.594595

0.635135

0.057971

0.048309

0.067633

0.082126

0

0.017013

0.178571

644

38

63

16.947368

0.765595

0

0.310559

0.208075

0

1

0

false

0

0.071429

0

0.071429

0

null

0

null

0

1

0

e3cc45c059a23522906c2bbff40ce8bfec753ce5

3,101

py

Python

medium/380-Insert Delete GetRandom O(1).py

Davidxswang/leetcode

d554b7f5228f14c646f726ddb91014a612673e06

[ "Apache-2.0" ]

2

2020-05-08T02:17:17.000Z

2020-05-17T04:55:56.000Z

medium/380-Insert Delete GetRandom O(1).py

Davidxswang/leetcode

d554b7f5228f14c646f726ddb91014a612673e06

[ "Apache-2.0" ]

null

medium/380-Insert Delete GetRandom O(1).py

Davidxswang/leetcode

d554b7f5228f14c646f726ddb91014a612673e06

[ "Apache-2.0" ]

null

""" https://leetcode.com/problems/insert-delete-getrandom-o1/ Implement the RandomizedSet class: bool insert(int val) Inserts an item val into the set if not present. Returns true if the item was not present, false otherwise. bool remove(int val) Removes an item val from the set if present. Returns true if the item w...

35.643678

215

0.660755

445

3,101

4.575281

0.314607

0.03831

0.031925

0.041749

0.154715

0.118861

0.034381

0

0.019417

0.236053

3,101

87

216

35.643678

0.840017

0.707514

0

0.26087

0

1

0.173913

false

0

0.043478

0

0.478261

0

null

0

null

0

1

0

e3cfcef261416f1b7213e8dce2b540fc137ab1f5

7,491

py

Python

smartools/patches/sheets.py

davocarli/smartools

57e6233efe8da6b34557f99e8d7c24eef77cfd9d

[ "MIT" ]

2

2021-01-01T17:34:02.000Z

2021-01-07T13:23:00.000Z

smartools/patches/sheets.py

davocarli/smartools

57e6233efe8da6b34557f99e8d7c24eef77cfd9d

[ "MIT" ]

null

smartools/patches/sheets.py

davocarli/smartools

57e6233efe8da6b34557f99e8d7c24eef77cfd9d

[ "MIT" ]

null

import smartsheet # from smartsheet.smartsheet import fresh_operation from .__smartools import SmartoolsObject, access_levels, RequirementError from .typed_list import SmartoolsTypedList smart = smartsheet.Smartsheet("INIT") smart.Sheets class SmartoolsSheets(smartsheet.sheets.Sheets): def smartools(self): return ...

34.84186

165

0.707916

1,037

7,491

5.004822

0.19865

0.037765

0.020231

0.02659

0.484586

0.465318

0.452408

0.425819

0.409634

0.398073

0

0.01235

0.189294

7,491

214

166

35.004673

0.842253

0.237351

0

0.567251

0

0.133415

0

1

0.035088

false

0.005848

0.035088

0.005848

0.146199

0

null

0

null

0

1

0

e3cfd1eba8567bcfd38dbc01b741198461b5c024

3,119

py

Python

modules/persons/application/controllers/v1/phone/create_phone_controller.py

eduardolujan/hexagonal_architecture_django

8055927cb460bc40f3a2651c01a9d1da696177e8

[ "BSD-3-Clause" ]

6

2020-08-09T23:41:08.000Z

2021-03-16T22:05:40.000Z

modules/persons/application/controllers/v1/phone/create_phone_controller.py

eduardolujan/hexagonal_architecture_django

8055927cb460bc40f3a2651c01a9d1da696177e8

[ "BSD-3-Clause" ]

1

2020-10-02T02:59:38.000Z

modules/persons/application/controllers/v1/phone/create_phone_controller.py

eduardolujan/hexagonal_architecture_django

8055927cb460bc40f3a2651c01a9d1da696177e8

[ "BSD-3-Clause" ]

2

2021-03-16T22:05:43.000Z

2021-04-30T06:35:25.000Z

# -*- coding: utf-8 -*- # Infra from modules.shared.infrastructure.log import LoggerDecorator, PyLoggerService # Application from modules.persons.application.create import PhoneCreator from modules.persons.application.create.command import CreatePhoneCommand # Domain from modules.shared.domain.http import status as h...

36.267442

83

0.631613

314

3,119

5.964968

0.286624

0.058729

0.042712

0.073679

0.170849

0.092899

0.05339

0

0.003188

0.295928

3,119

85

84

36.694118

0.849727

0.022122

0

0.064516

0

0.094358

0.016826

0

1

0.032258

false

0

0.16129

0

0.241935

0

null

0

null

0

1

0

e3cfd93cdd0841ab2b66bf374189846ddaaf186d

5,651

py

Python

tests/test_dispatch_sparql_query_model_catalog.py

KnowledgeCaptureAndDiscovery/OBA_sparql

9c1c28902ab3d6561b3b6a0f8a7d284688d86326

[ "Apache-2.0" ]

5

2020-05-12T22:00:16.000Z

2021-11-08T22:16:11.000Z

tests/test_dispatch_sparql_query_model_catalog.py

KnowledgeCaptureAndDiscovery/OBA_sparql

9c1c28902ab3d6561b3b6a0f8a7d284688d86326

[ "Apache-2.0" ]

24

2019-09-26T23:20:11.000Z

2022-01-14T14:19:14.000Z

tests/test_dispatch_sparql_query_model_catalog.py

KnowledgeCaptureAndDiscovery/OBA_sparql

9c1c28902ab3d6561b3b6a0f8a7d284688d86326

[ "Apache-2.0" ]

1

2021-12-01T14:56:09.000Z

import json import logging import unittest from typing import Dict from SPARQLWrapper import JSONLD from obasparql.query_manager import QueryManager, QUERIES_TYPES, QUERY_TYPE_GET_ONE_USER from obasparql.utils import generate_uri from tests.settings import * logger = logging.getLogger('testing') graph_user = generat...

36.694805

463

0.585914

687

5,651

4.641921

0.234352

0.070555

0.094073

0.117592

0.540295

0.518658

0.513013

0.467858

0.41455

0.351521

0

0.018568

0.266148

5,651

153

464

36.934641

0.750422

0.010972

0

0.401515

0

0.045455

0.548207

0

0.030303

1

0.037879

false

0

0.060606

0

0.106061

0

null

0

null

0

1

0

e3d072cf82df30c9642a147eb2b4e745f7865fe4

643

py

Python

Python/valid-palindrome-ii.py

coolryze/LeetCode

03876232521a20d32f8fa4e7d6d19cf208739a79

[ "MIT" ]

2

2018-07-18T01:33:07.000Z

2018-11-16T03:17:03.000Z

Python/valid-palindrome-ii.py

coolryze/LeetCode

03876232521a20d32f8fa4e7d6d19cf208739a79

[ "MIT" ]

null

Python/valid-palindrome-ii.py

coolryze/LeetCode

03876232521a20d32f8fa4e7d6d19cf208739a79

[ "MIT" ]

null

class Solution: def validPalindrome(self, s): """ :type s: str :rtype: bool """ left = 0 right = len(s)-1 while left < right: if s[left] != s[right]: return self.isPalindrome(s, left, right-1) or self.isPalindrome(s, left+1, right)...

22.964286

97

0.426128

69

643

3.971014

0.333333

0.091241

0.109489

0.116788

0.423358

0.240876

0

0.023529

0.471229

643

27

98

23.814815

0.782353

0.03888

0

0.631579

0

1

0.105263

false

0

0.368421

0

null

0

null

0

1

0

e3d1710232166bf85532195c15df881b2381f79f

267

py

Python

tpi/main.py

karajan1001/tpi

c7259a8fea023797058deaf487700645df5fe210

[ "Apache-2.0" ]

5

2021-09-04T05:02:59.000Z

2021-09-30T18:23:42.000Z

tpi/main.py

karajan1001/tpi

c7259a8fea023797058deaf487700645df5fe210

[ "Apache-2.0" ]

14

2021-09-07T15:17:27.000Z

2021-10-08T01:09:41.000Z

tpi/main.py

karajan1001/tpi

c7259a8fea023797058deaf487700645df5fe210

[ "Apache-2.0" ]

6

2021-09-06T08:52:04.000Z

2022-02-07T21:43:48.000Z

import argparse import logging log = logging.getLogger(__name__) def get_main_parser(): parser = argparse.ArgumentParser(prog="tpi") return parser def main(argv=None): parser = get_main_parser() args = parser.parse_args(argv) log.debug(args)

16.6875

48

0.715356

35

267

5.2

0.542857

0.076923

0.142857

0

0.179775

267

15

49

17.8

0.83105

0

0.011236

0

1

0.2

false

0

0.2

0

0.5

0

null

0

null

0

1

0

e3d176bb8a4ef4588c81f92f7a9d84251d18fd27

2,948

py

Python

catkin_ws/src/easter_egg_hunt/scripts/waypoint_states.py

pdscraml/bunny-hunter

7d6951f5cbcc46ec31c8b17dc66a6297cc4d7536

[ "Apache-2.0" ]

null

catkin_ws/src/easter_egg_hunt/scripts/waypoint_states.py

pdscraml/bunny-hunter

7d6951f5cbcc46ec31c8b17dc66a6297cc4d7536

[ "Apache-2.0" ]

null

catkin_ws/src/easter_egg_hunt/scripts/waypoint_states.py

pdscraml/bunny-hunter

7d6951f5cbcc46ec31c8b17dc66a6297cc4d7536

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Intro to Robotics - EE5900 - Spring 2017 # Final Project # Philip (Team Lead) # Ian # Akhil # # Revision: v1.2 # imports import rospy import smach import smach_ros import time import actionlib from easter_egg_hunt.srv import EnableDiscovery from m...

33.123596

142

0.684871

316

2,948

6.113924

0.363924

0.036232

0.026915

0.035197

0.227743

0.173913

0.120083

0

0.006981

0.222524

2,948

88

143

33.5

0.835951

0.078358

0

0.245614

0

0.124954

0.032902

0

1

0.140351

false

0

0.157895

0

0.45614

0

null

0

null

0

1

0

e3d5b6ff47680e0205ffd2a767cb7c6b5cf84622

1,456

py

Python

icees_api/features/qgraph_utils.py

xu-hao/ddcr-api

f69c80a84d413078bd36985b6579d2bc32329b8f

[ "MIT" ]

2

2018-10-03T16:58:57.000Z

2021-10-04T22:10:48.000Z

icees_api/features/qgraph_utils.py

xu-hao/ddcr-api

f69c80a84d413078bd36985b6579d2bc32329b8f

[ "MIT" ]

195

2019-06-26T17:56:33.000Z

2022-03-30T20:46:05.000Z

icees_api/features/qgraph_utils.py

xu-hao/ddcr-api

f69c80a84d413078bd36985b6579d2bc32329b8f

[ "MIT" ]

5

2018-09-10T19:45:29.000Z

2020-10-26T17:59:05.000Z

"""Query graph utilities.""" import re from bmt import Toolkit BMT = Toolkit() def get_subcategories(category): """Get sub-categories, according to the Biolink model.""" return [ descendant.replace("_", "") for descendant in BMT.get_descendants(category, formatted=True, reflexive=True) ]...

30.333333

87

0.632555

161

1,456

5.621118

0.385093

0.043094

0.049724

0.046409

0.057459

0

0.000896

0.233516

1,456

47

88

30.978723

0.810036

0.125

0

0.125

0

0.146635

0.036859

0

1

0.125

false

0

0.0625

0

0.28125

0

null

0

null

0

1

0

e3d5f08a740b483f1653463909ea2ce9beb6acde

3,493

py

Python

toy-evolve/weno.py

IanHawke/toy-evolve

a1490327dd19492e2c0bb0d9c6909abe8b167135

[ "MIT" ]

null

toy-evolve/weno.py

IanHawke/toy-evolve

a1490327dd19492e2c0bb0d9c6909abe8b167135

[ "MIT" ]

null

toy-evolve/weno.py

IanHawke/toy-evolve

a1490327dd19492e2c0bb0d9c6909abe8b167135

[ "MIT" ]

null

import numpy C_3 = numpy.array([1, 2]) / 3 a_3 = numpy.array([[3, -1], [1, 1]]) / 2 sigma_3 = numpy.array([[[1, 0], [-2, 1]], [[1, 0], [-2, 1]]]) C_5 = numpy.array([1, 6, 3]) / 10 a_5 = numpy.array([[11, -7, 2], [2, 5, -1], [-1, 5, 2]]) / 6 sigma_5 = numpy.array([[[40, 0, 0], [-124, 100, 0], ...

32.342593

80

0.488405

574

3,493

2.857143

0.099303

0.076829

0.073171

0.054878

0.728659

0.69939

0.677439

0.632927

0.590854

0

0.067893

0.346407

3,493

108

81

32.342593

0.65046

0

0.494737

0

1

0.063158

false

0

0.010526

0

0.136842

0

null

0

null

0

1

0

e3d6ee49185d1368971f9d3c026c6acc53822813

2,832

py

Python

tests/test_optimize.py

ricosjp/siml

8fc07d798cdedd77622c16221ee44a575d36bad0

[ "Apache-2.0" ]

11

2020-12-28T16:22:33.000Z

2021-11-14T17:09:27.000Z

tests/test_optimize.py

ricosjp/siml

8fc07d798cdedd77622c16221ee44a575d36bad0

[ "Apache-2.0" ]

null

tests/test_optimize.py

ricosjp/siml

8fc07d798cdedd77622c16221ee44a575d36bad0

[ "Apache-2.0" ]

2

2021-04-28T09:41:47.000Z

2021-07-01T21:18:51.000Z

from pathlib import Path import shutil import unittest import numpy as np import siml.optimize as optimize import siml.setting as setting class TestOptimize(unittest.TestCase): def test_generate_dict(self): main_setting = setting.MainSetting.read_settings_yaml( Path('tests/data/deform/optun...

35.848101

77

0.611935

319

2,832

5.163009

0.291536

0.093503

0.061931

0.10929

0.497268

0.462052

0.445052

0.364299

0.207043

0

0.024131

0.268362

2,832

78

36.307692

0.770753

0

0.257576

0

0.122881

0.029661

0

0.121212

1

0.045455

false

0

0.090909

0

0.151515

0

null

0

null

0

1

0

e3d7620b8331f1df9da2a2562c6b4d96e926fba0

1,773

py

Python

demo.py

natekspencer/vivintpy

ea65b05871b3f13326ba370112357a6696793bf6

[ "MIT" ]

3

2022-02-10T14:08:59.000Z

2022-03-30T18:55:25.000Z

demo.py

natekspencer/pyvivint

ea65b05871b3f13326ba370112357a6696793bf6

[ "MIT" ]

null

demo.py

natekspencer/pyvivint

ea65b05871b3f13326ba370112357a6696793bf6

[ "MIT" ]

2

2021-10-31T01:43:26.000Z

2021-11-21T13:33:55.000Z

import asyncio import logging import os import pubnub from vivintpy.account import Account from vivintpy.devices import VivintDevice from vivintpy.devices.camera import MOTION_DETECTED, Camera from vivintpy.exceptions import VivintSkyApiMfaRequiredError pubnub.set_stream_logger(name="pubnub", level=logging.ERROR) ...

31.105263

87

0.648054

196

1,773

5.72449

0.413265

0.096257

0.034759

0.024955

0

0.002273

0.255499

1,773

56

88

31.660714

0.847727

0

0.044444

0

0.133672

0.024253

0

1

0.022222

false

0.022222

0.177778

0

0.2

0

null

0

null

0

1

0

e3ddafddccd1aee845e95e14e1da8e8b355c53a4

92,214

py

Python

incubator/bootstrap_cli/__main__.py

cognitedata/inso-bootstrap-cli

d2ed0e575703acc7af2a11212357b6fd439f5279

[ "Apache-2.0" ]

null

incubator/bootstrap_cli/__main__.py

cognitedata/inso-bootstrap-cli

d2ed0e575703acc7af2a11212357b6fd439f5279

[ "Apache-2.0" ]

7

2022-02-16T12:46:33.000Z

2022-03-30T15:58:45.000Z

incubator/bootstrap_cli/__main__.py

cognitedata/inso-bootstrap-cli

d2ed0e575703acc7af2a11212357b6fd439f5279

[ "Apache-2.0" ]

null

# 888 888 # 888 888 # 888 888 # .d8888b 88888b. 8888b. 88888b. .d88b. .d88b. 888 .d88b. .d88b. # d88P" 888 "88b "88b 888 "88b d88P"88b d8P Y8b 888 d88...

42.241869

134

0.560934

10,240

92,214

4.845898

0.088574

0.016323

0.013966

0.011124

0.509411

0.449418

0.401213

0.369191

0.340796

0.311696

0

0.030007

0.349134

92,214

2,182

135

42.261228

0.796714

0.293274

0

0.323185

0

0.002342

0.164047

0.041849

0

0.003666

0

1

0.032787

false

0.003903

0.014052

0.006245

0.075722

0.000781

0

null

0

null

0

1

0

e3e011a21c49b5509fea872c5fc1398a8616f542

4,440

py

Python

pyhcl/passes/expand_memory.py

raybdzhou/PyChip-py-hcl

08edc6ad4d2978eb417482f6f92678f8f9a1e3c7

[ "MIT" ]

null

pyhcl/passes/expand_memory.py

raybdzhou/PyChip-py-hcl

08edc6ad4d2978eb417482f6f92678f8f9a1e3c7

[ "MIT" ]

null

pyhcl/passes/expand_memory.py

raybdzhou/PyChip-py-hcl

08edc6ad4d2978eb417482f6f92678f8f9a1e3c7

[ "MIT" ]

null

from typing import List, Dict from pyhcl.ir.low_ir import * from pyhcl.ir.low_prim import * from pyhcl.passes._pass import Pass from pyhcl.passes.utils import get_binary_width DEFAULT_READ_LATENCY = 0 DEFAULT_WRITE_LATENCY = 1 @dataclass class ExpandMemory(Pass): def run(self, c: Circuit): def get_mem_po...

45.773196

156

0.533333

487

4,440

4.759754

0.184805

0.042278

0.037964

0.043141

0.316652

0.30371

0.280414

0.197584

0.173425

0

0.004196

0.355856

4,440

97

157

45.773196

0.806294

0.003604

0

0.152941

0

0.004751

0

1

0.070588

false

0.035294

0.058824

0.011765

0.188235

0

null

0

null

0

1

0

e3e284f2bcaf4183ceaa0d76915531a74b397b67

14,338

py

Python

meshreg/visualize/samplevis.py

jonashein/handobjectnet_baseline

29175be4528f68b8a2aa6dc6aa37ee0a042f93ab

[ "MIT" ]

2

2021-07-09T15:10:44.000Z

2021-07-11T12:42:13.000Z

meshreg/visualize/samplevis.py

jonashein/handobjectnet_baseline

29175be4528f68b8a2aa6dc6aa37ee0a042f93ab

[ "MIT" ]

null

meshreg/visualize/samplevis.py

jonashein/handobjectnet_baseline

29175be4528f68b8a2aa6dc6aa37ee0a042f93ab

[ "MIT" ]

null

import torch import numpy as np from libyana.visutils.viz2d import visualize_joints_2d from meshreg.datasets.queries import BaseQueries, TransQueries from meshreg.visualize import consistdisplay def get_check_none(data, key, cpu=True): if key in data and data[key] is not None: if cpu: return ...

46.401294

119

0.522597

1,790

14,338

3.93352

0.088268

0.09118

0.068172

0.064622

0.723619

0.606022

0.585002

0.570089

0.556597

0.535293

0

0.055744

0.361905

14,338

308

120

46.551948

0.713849

0.206654

0

0.396226

0

0.009036

0

1

0.009434

false

0

0.023585

0

0.04717

0

null

0

null

0

1

0

e3e49196e82b3c1f79806bdd2aeb6e1bcf532ba4

3,185

py

Python

api_app/api/dependencies/workspaces.py

gauravagrwal/AzureTRE

f3cb1e40e4926f8b196add807b05abec46bb36fc

[ "MIT" ]

71

2021-03-04T15:10:18.000Z

2022-03-29T16:37:37.000Z

api_app/api/dependencies/workspaces.py

gauravagrwal/AzureTRE

f3cb1e40e4926f8b196add807b05abec46bb36fc

[ "MIT" ]

1,498

2021-03-05T07:28:00.000Z

2022-03-31T16:28:06.000Z

api_app/api/dependencies/workspaces.py

gauravagrwal/AzureTRE

f3cb1e40e4926f8b196add807b05abec46bb36fc

[ "MIT" ]

60

2021-04-30T10:09:26.000Z

2022-03-30T12:39:27.000Z

from fastapi import Depends, HTTPException, Path, status from pydantic import UUID4 from api.dependencies.database import get_repository from db.errors import EntityDoesNotExist, ResourceIsNotDeployed from db.repositories.user_resources import UserResourceRepository from db.repositories.workspace_services import Works...

56.875

224

0.82292

394

3,185

6.258883

0.139594

0.019465

0.040146

0.042579

0.712084

0.68897

0.597729

0

0.01122

0.104553

3,185

55

225

57.909091

0.853436

0

0.380952

0

1

0.02381

false

0

0.261905

0

0.428571

0

null

0

null

0

1

0

e3e5d7bb420ff6920778e91d10161cbdad69e4fa

1,015

py

Python

CS1410/p5test.py

Davidjbennett/DavidBennett.github.io

09a2652b7ace8741bf23c6432abd58ee790b9f0c

[ "MIT" ]

3

2021-05-18T16:17:29.000Z

2022-01-20T15:46:59.000Z

CS1410/p5test.py

Davidjbennett/DavidBennett

09a2652b7ace8741bf23c6432abd58ee790b9f0c

[ "MIT" ]

null

CS1410/p5test.py

Davidjbennett/DavidBennett

09a2652b7ace8741bf23c6432abd58ee790b9f0c

[ "MIT" ]

null

import unittest from payroll import * class P2Test(unittest.TestCase): def setUp(self): self.emp = payroll.Employee('12-3456789', 'John', 'Doe', '123 Anystreet', 'Anytown', 'Anystate', '98765') def testHourly(self): rate = 35.5 self.emp.make_hourly(rate) for d in range(10): ...

39.038462

113

0.629557

132

1,015

4.719697

0.44697

0.101124

0.168539

0.105939

0.311396

0.263242

0.189406

0

0.083969

0.225616

1,015

26

114

39.038462

0.708651

0.441379

0

0.104317

0

0.076923

1

0.153846

false

0

0.153846

0

0.384615

0

null

0

null

0

1

0

e3e6feda3445e87c646510a9a3a710d5ae1d2df6

1,418

py

Python

pylsp/plugins/hover.py

nemethf/python-lsp-server

34be02a6ce37bab7fb9ba1845006c0af16fb7efc

[ "MIT" ]

1

2021-07-08T01:27:25.000Z

pylsp/plugins/hover.py

nemethf/python-lsp-server

34be02a6ce37bab7fb9ba1845006c0af16fb7efc

[ "MIT" ]

null

pylsp/plugins/hover.py

nemethf/python-lsp-server

34be02a6ce37bab7fb9ba1845006c0af16fb7efc

[ "MIT" ]

null

# Copyright 2017-2020 Palantir Technologies, Inc. # Copyright 2021- Python Language Server Contributors. import logging from pylsp import hookimpl, _utils log = logging.getLogger(__name__) @hookimpl def pylsp_hover(document, position): code_position = _utils.position_to_jedi_linecolumn(document, position) ...

28.36

74

0.662906

172

1,418

5.354651

0.5

0.045603

0.030402

0.047774

0

0.012987

0.239774

1,418

49

75

28.938776

0.841373

0.282793

0

0.074074

0

0.042659

0

1

0.037037

false

0

0.074074

0

0.222222

0

null

0

null

0

1

0

e3e789b09b4bc5d5bd9a4f91dddf897a4ef4d03a

4,753

py

Python

LocStat/pipelines/output.py

nhtoshiaki/LocStat

0196d627d1f16a778cbc8f1996d217d8fee72afb

[ "MIT" ]

null

LocStat/pipelines/output.py

nhtoshiaki/LocStat

0196d627d1f16a778cbc8f1996d217d8fee72afb

[ "MIT" ]

null

LocStat/pipelines/output.py

nhtoshiaki/LocStat

0196d627d1f16a778cbc8f1996d217d8fee72afb

[ "MIT" ]

null

# -*- coding: utf-8 -*- import items class TxtFileWriter: """ Write the repository representation in the file. """ def __init__(self, file_path): self.file_path = file_path def __enter__(self): self.file = open(self.file_path, 'w', encoding='utf-8') return self def ...

37.722222

79

0.487482

516

4,753

4.248062

0.180233

0.109489

0.105383

0.041515

0.39781

0.277372

0.176095

0.130474

0.087591

0.057482

0

0.012663

0.401851

4,753

125

80

38.024

0.758354

0.049863

0

0.114583

0

0.153341

0.050736

0

1

0.125

false

0

0.010417

0.020833

0.208333

0

null

0

null

0

1

0

e3e870bbf5df4a845585a4326902f3311e5fcf1d

1,563

py

Python

examples/telebot.py

b3ntuz1/words

5d14439e18d9462a02a836afc3497a188bfc3224

[ "MIT" ]

null

examples/telebot.py

b3ntuz1/words

5d14439e18d9462a02a836afc3497a188bfc3224

[ "MIT" ]

null

examples/telebot.py

b3ntuz1/words

5d14439e18d9462a02a836afc3497a188bfc3224

[ "MIT" ]

null

import flask import telebot import words from dotenv import load_dotenv load_dotenv() app = flask.Flask(__name__) bot = telebot.TeleBot(environ.get("TG_TOKEN"), threaded=False) WEBHOOK_URL_PATH = "/%s/" % (environ.get("TG_TOKEN")) # # Remove webhook, it fails sometimes the set if there is a previous webhook # bot.re...

31.26

106

0.68778

228

1,563

4.548246

0.368421

0.060752

0.094503

0.108004

0.16972

0.103182

0.055931

0

0.002306

0.167626

1,563

49

107

31.897959

0.794773

0.120282

0

0.090909

0

0.1347

0

1

0.121212

false

0

0.121212

0.030303

0.454545

0

null

0

null

0

1

0

e3e8a02a4a0c93dadb97549166e65600c319f251

547

py

Python

lvsfunc/__init__.py

DeadNews/lvsfunc

15bc8b99595c5066c15f4aba9fb9989e1068a9ee

[ "MIT" ]

null

lvsfunc/__init__.py

DeadNews/lvsfunc

15bc8b99595c5066c15f4aba9fb9989e1068a9ee

[ "MIT" ]

null

lvsfunc/__init__.py

DeadNews/lvsfunc

15bc8b99595c5066c15f4aba9fb9989e1068a9ee

[ "MIT" ]

null

""" lvsfunc, a collection of VapourSynth functions and wrappers written and/or modified by LightArrowsEXE. If you spot any issues, please do not hesitate to send in a Pull Request or reach out to me on Discord (LightArrowsEXE#0476)! """ # flake8: noqa from . import aa, comparison, deinterlace, denoise, m...

26.047619

106

0.758684

78

547

5.25641

0.782051

0

0.010989

0.16819

547

20

107

27.35

0.89011

0.460695

0

1

0

false

0

0.111111

0

0.111111

0

null

0

null

0

1

0

e3e90ea49def6ec58ac5f2b5f001c13fe85417ac

529

py

Python

Roman_to_Integer.py

sujitmandal/leetCode

b52bfd68cd93243765a94a190807f9b79ec4b4af

[ "MIT" ]

null

Roman_to_Integer.py

sujitmandal/leetCode

b52bfd68cd93243765a94a190807f9b79ec4b4af

[ "MIT" ]

null

Roman_to_Integer.py

sujitmandal/leetCode

b52bfd68cd93243765a94a190807f9b79ec4b4af

[ "MIT" ]

null

roman_dict = { "I" : 1, "V" : 5, "X" : 10, "L" : 50, "C" : 100, "D" : 500, "M" : 1000 } class Solution: def romanToInt(self, s: str) -> int: previous = 0 current = 0 result = 0 for x in s[::-1]: current = roman_dict[x] if (previous > current): ...

18.241379

40

0.478261

62

529

4.048387

0.596774

0.155378

0

0.06006

0.37051

529

29

41

18.241379

0.693694

0

0.032075

0

1

0.038462

false

0

0.076923

0.038462

0

null

0

null

0

1

0

e3ea89a73be617f94a289a935e3c1a5396be4890

4,214

py

Python

utils/warmup.py

hengwei-chan/3D_SBDD

eda6d51aaf01ef25581a46920a25161678fab76d

[ "MIT" ]

67

2021-12-02T05:53:44.000Z

2022-03-31T07:21:26.000Z

utils/warmup.py

hengwei-chan/3D_SBDD

eda6d51aaf01ef25581a46920a25161678fab76d

[ "MIT" ]

13

2021-12-05T14:23:46.000Z

2022-03-25T21:07:20.000Z

utils/warmup.py

hengwei-chan/3D_SBDD

eda6d51aaf01ef25581a46920a25161678fab76d

[ "MIT" ]

16

2022-01-11T11:48:24.000Z

2022-03-27T19:20:58.000Z

""" MIT License Copyright (c) 2019 Ildoo Kim 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, dis...

48.436782

152

0.685809

568

4,214

4.952465

0.301056

0.069677

0.070387

0.04728

0.215073

0.20583

0.133665

0.105226

0.080341

0

0.0066

0.244898

4,214

86

153

49

0.877436

0.390365

0

0.1875

0

0.02019

0

1

0.083333

false

0

0.041667

0

0.25

0

null

0

null

0

1

0

e3eab184db32babbdcd60c4ea7969530ce380571

2,154

py

Python

src/ee/deployers.py

marcelotrevisani/ee

933d6a80402b30943ca3df4a1a120047f7163a4b

[ "MIT" ]

5

2021-12-09T21:54:35.000Z

2021-12-14T11:25:57.000Z

src/ee/deployers.py

marcelotrevisani/ee

933d6a80402b30943ca3df4a1a120047f7163a4b

[ "MIT" ]

6

2021-12-09T21:04:19.000Z

2022-02-11T11:19:44.000Z

src/ee/deployers.py

marcelotrevisani/ee

933d6a80402b30943ca3df4a1a120047f7163a4b

[ "MIT" ]

2

2021-02-12T20:20:26.000Z

2021-12-14T11:24:24.000Z

import abc import logging from typing import List from ee.models import EnvironmentDefinition logger = logging.getLogger(__name__) class DeploymentBackend(abc.ABC): def run(self, env_def: EnvironmentDefinition, command: List[str]): """ This is the main public method. This is a template ...

27.615385

80

0.597029

243

2,154

5.176955

0.345679

0.052464

0.031797

0.049285

0.104928

0.063593

0

0.332869

2,154

77

81

27.974026

0.875435

0.409471

0

0.125

0

0.167339

0

1

0.166667

false

0

0.166667

0

0.375

0

null

0

null

0

1

0

e3eb6d0f0d638a2beae2a17150b8764d8ef995b7

2,946

py

Python

vb_simulation_pkgs/example_pkgs/pkg_moveit_examples/scripts/node_eg2_predefined_pose.py

ROBODITYA/Eyantra-2021-Vargi-Bots

f1c6a82c46e6e84486a4832b3fbcd02625849447

[ "MIT" ]

1

2021-07-13T07:05:29.000Z

vb_simulation_pkgs/example_pkgs/pkg_moveit_examples/scripts/node_eg2_predefined_pose.py

TejasPhutane/Eyantra-2021-Vargi-Bots

ab84a1304101850be8c0f69cfe6de70d53c33189

[ "MIT" ]

1

2021-06-05T07:58:03.000Z

vb_simulation_pkgs/example_pkgs/pkg_moveit_examples/scripts/node_eg2_predefined_pose.py

ROBODITYA/Eyantra-2021-Vargi-Bots

f1c6a82c46e6e84486a4832b3fbcd02625849447

[ "MIT" ]

null

#! /usr/bin/env python import rospy import sys import copy import moveit_commander import moveit_msgs.msg import geometry_msgs.msg import actionlib class Ur5Moveit: # Constructor def __init__(self, arg_robot_name): rospy.init_node('node_eg2_predefined_pose', anonymous=True) self._robot_ns =...

37.291139

163

0.681942

365

2,946

5.117808

0.29589

0.052998

0.047109

0.067452

0.198073

0.166488

0.092077

0.06424

0

0.032231

0.199593

2,946

78

164

37.769231

0.759966

0.037339

0

0.111111

0

0.140537

0.019774

0

1

0.074074

false

0

0.12963

0

0.222222

0

null

0

null

0

1

0

e3ecff00be006576e1644fd5e646a6c21330ba43

5,047

py

Python

plugins/pelican_gist/plugin.py

kura/kura.io

7f9ba2140b93bba86d1367e41706ad72f9e672bf

[ "MIT" ]

13

2015-02-19T22:14:07.000Z

2021-02-07T14:16:34.000Z

plugins/pelican_gist/plugin.py

kura/kura.gg

42c8e0a7a6d9480297df004452b073883ff9693e

[ "MIT" ]

2

2015-07-28T10:02:57.000Z

2017-07-28T18:08:59.000Z

plugins/pelican_gist/plugin.py

kura/kura.io

7f9ba2140b93bba86d1367e41706ad72f9e672bf

[ "MIT" ]

7

2015-08-26T16:52:00.000Z

2019-10-11T05:32:37.000Z

# -*- coding: utf-8 -*- """ Gist embedding plugin for Pelican ================================= This plugin allows you to embed `Gists`_ into your posts. .. _Gists: https://gist.github.com/ """ from __future__ import unicode_literals import hashlib import logging import os import re import codecs import pygments lo...

30.96319

91

0.624529

619

5,047

4.93538

0.273021

0.03928

0.054992

0.02946

0.262193

0.088707

0.043863

0.022259

0

0.004208

0.246681

5,047

162

92

31.154321

0.799316

0.101645

0

0.100917

0

0.009174

0.170374

0.035587

0

1

0.091743

false

0

0.091743

0

0.256881

0

null

0

null

0

1

0

e3ed166cf5e760668330d7ff8e4a946c7c875bce

1,188

py

Python

ass1/rsc/ts.py

suryaavala/network

291b59dce961448b2a9b92b6a0754ec994a6fb91

[ "MIT" ]

null

ass1/rsc/ts.py

suryaavala/network

291b59dce961448b2a9b92b6a0754ec994a6fb91

[ "MIT" ]

null

ass1/rsc/ts.py

suryaavala/network

291b59dce961448b2a9b92b6a0754ec994a6fb91

[ "MIT" ]

null

import time from socket import * import sys host = sys.argv[1] #port = sys.argv[2] #message = sys.argv[2] sock = socket(AF_INET, SOCK_DGRAM) sock.settimeout(1) sock.bind((str(host),0)) print(sock.getsockname(),sock.getsockname()[1]) port = 5967 for message in 'abcdefghijklmnopqrstuvwxyz': sock.sendto(message.e...

32.108108

139

0.653199

163

1,188

4.717791

0.361963

0.036411

0.06632

0.089727

0.608583

0.522757

0

0.01131

0.106902

1,188

36

140

33

0.713478

0.159091

0

0.304348

0

0.302115

0.076536

0

1

0

false

0

0.130435

0

0.130435

0.304348

0

null

0

null

0

1

0

e3efc019f189a8a6987dd98946e89c72d64fa190

2,218

py

Python

BIA 660 - Web Analytics/Assignments/Assignment 2/webcounter.py

ParasGarg/Stevens-Computer-Science-Courses-Materials

13015e6e83471d89ae29474857fe83a81994420f

[ "MIT" ]

25

2017-03-23T04:51:18.000Z

2022-03-03T21:51:11.000Z

BIA 660 - Web Analytics/Assignments/Assignment 2/webcounter.py

vaishnavimecit/Stevens-Computer-Science-Courses-Materials

13015e6e83471d89ae29474857fe83a81994420f

[ "MIT" ]

null

BIA 660 - Web Analytics/Assignments/Assignment 2/webcounter.py

vaishnavimecit/Stevens-Computer-Science-Courses-Materials

13015e6e83471d89ae29474857fe83a81994420f

[ "MIT" ]

19

2018-05-10T05:17:05.000Z

2022-03-12T05:18:58.000Z

""" A script that reads a file from the web and returns the all the words having frequency in between two words passed """ import re from nltk.corpus import stopwords import requests from operator import itemgetter def run(url, word1, word2): freq = {} # keep the freq of each word in the file freq[word1] = 0...

35.774194

175

0.626691

314

2,218

4.401274

0.455414

0.021708

0.014472

0.018813

0

0.02769

0.283589

2,218

61

176

36.360656

0.842039

0.373309

0

0.025641

0.155033

0

1

0.025641

false

0

0.102564

0

0.179487

0.051282

0

null

0

null

0

1

0

e3f2542b1e8fcfc1c962b23f153fdbfa31f29be1

4,487

py

Python

dev/archery/archery/integration/util.py

palmerlao/arrow

4e680c46ad5aa76ba1dc85574c4e96a51450364f

[ "Apache-2.0" ]

null

dev/archery/archery/integration/util.py

palmerlao/arrow

4e680c46ad5aa76ba1dc85574c4e96a51450364f

[ "Apache-2.0" ]

8

2020-04-10T19:03:51.000Z

2021-01-21T01:06:28.000Z

dev/archery/archery/integration/util.py

signavio/arrow

866e6a82e2794b151235c19b8c5cbf1fcaf780ef

[ "CC-BY-3.0", "Apache-2.0", "CC0-1.0" ]

null

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

28.398734

77

0.654558

591

4,487

4.881557

0.409475

0.024263

0.02253

0.011092

0.033969

0.017331

0

0.005045

0.248941

4,487

157

78

28.579618

0.851039

0.398262

0

0.1375

0

0.040095

0

0.0125

1

0.1375

false

0

0.125

0.0125

0.4125

0.1125

0

null

0

null

0

1

0

e3f2b53a7343d04d14b8c9e8a2dd45c0ae9f242e

4,715

py

Python

python/src/cmdline/write_struct.py

hgmelectronics/xcpsetup

646d22537f58e59c3fe324da08c4dbe0d5881efa

[ "BSD-2-Clause" ]

null

python/src/cmdline/write_struct.py

hgmelectronics/xcpsetup

646d22537f58e59c3fe324da08c4dbe0d5881efa

[ "BSD-2-Clause" ]

null

python/src/cmdline/write_struct.py

hgmelectronics/xcpsetup

646d22537f58e59c3fe324da08c4dbe0d5881efa

[ "BSD-2-Clause" ]

null

#!/usr/bin/python3 import argparse import ctypes import json import sys if not '..' in sys.path: sys.path.append('..') from comm import BoardTypes from comm import CANInterface from comm import XCPConnection from util import plugins from util import ctypesdict from util import config import argProc plugins.l...

42.477477

145

0.634783

544

4,715

5.474265

0.409926

0.027199

0.051377

0.020148

0.096709

0.053727

0.03358

0

0.007452

0.260021

4,715

110

146

42.863636

0.846088

0.073383

0

0.105882

0

0.011765

0.182027

0

1

0.011765

false

0.011765

0.129412

0

0.164706

0.082353

0

null

0

null

0

1

0

e3f35c53bc5f2d93179fd278d659372e135f798d

2,383

py

Python

doc/python_api/examples/bpy.types.Depsgraph.1.py

rbabari/blender

6daa85f14b2974abfc3d0f654c5547f487bb3b74

[ "Naumen", "Condor-1.1", "MS-PL" ]

365

2015-02-10T15:10:55.000Z

2022-03-03T15:50:51.000Z

doc/python_api/examples/bpy.types.Depsgraph.1.py

rbabari/blender

6daa85f14b2974abfc3d0f654c5547f487bb3b74

[ "Naumen", "Condor-1.1", "MS-PL" ]

45

2015-01-09T15:34:20.000Z

2021-10-05T14:44:23.000Z

doc/python_api/examples/bpy.types.Depsgraph.1.py

rbabari/blender

6daa85f14b2974abfc3d0f654c5547f487bb3b74

[ "Naumen", "Condor-1.1", "MS-PL" ]

172

2015-01-25T15:16:53.000Z

2022-01-31T08:25:36.000Z

""" Dependency graph: Evaluated ID example ++++++++++++++++++++++++++++++++++++++ This example demonstrates access to the evaluated ID (such as object, material, etc.) state from an original ID. This is needed every time one needs to access state with animation, constraints, and modifiers taken into account. """ impor...

39.065574

99

0.675619

309

2,383

5.106796

0.440129

0.047529

0.024715

0.041825

0.055133

0

0.241712

2,383

60

100

39.716667

0.873271

0.554763

0

0.17607

0.047665

0

1

0.15

false

0

0.05

0

0.45

0

null

0

null

0

1

0

e3f60625a8143b4d147e2f952742a97ef41ee31f

1,242

py

Python

1.undersampling.py

Moons08/TalkingData-Fraud-Detection

c88fb8b5358f6057603b7725ed2767fab47c51c6

[ "MIT" ]

1

2019-01-18T06:20:54.000Z

1.undersampling.py

Moons08/LightGBM-tutorial-Fraud_Detection

c88fb8b5358f6057603b7725ed2767fab47c51c6

[ "MIT" ]

null

1.undersampling.py

Moons08/LightGBM-tutorial-Fraud_Detection

c88fb8b5358f6057603b7725ed2767fab47c51c6

[ "MIT" ]

null

import os import pandas as pd from imblearn.under_sampling import RandomUnderSampler from contextlib import contextmanager import psutil import time @contextmanager def timer_memory(name): t0 = time.time() yield print( f'Memory: {(psutil.Process(os.getpid()).memory_info().rss/2**30):.02f}GB') ...

26.425532

82

0.587762

159

1,242

4.503145

0.496855

0.072626

0.079609

0.030726

0.072626

0

0.02521

0.233494

1,242

46

83

27

0.726891

0

0.060606

0

0.030303

0.258454

0.165056

0

1

0.060606

false

0

0.181818

0

0.242424

0.121212

0

null

0

null

0

1

0

e3f744a34f5cd637c13b66b21c7bdf2144d67708

3,344

py

Python

tf_agents/benchmark/distribution_strategy_utils.py

FlorisHoogenboom/agents

2cd5a61e1838b52012271f1fb8617c29a55279a9

[ "Apache-2.0" ]

16

2020-09-23T06:21:49.000Z

2022-03-28T05:45:04.000Z

tf_agents/benchmark/distribution_strategy_utils.py

FlorisHoogenboom/agents

2cd5a61e1838b52012271f1fb8617c29a55279a9

[ "Apache-2.0" ]

null

tf_agents/benchmark/distribution_strategy_utils.py

FlorisHoogenboom/agents

2cd5a61e1838b52012271f1fb8617c29a55279a9

[ "Apache-2.0" ]

6

2020-10-09T06:33:23.000Z

2022-02-03T16:16:36.000Z

# coding=utf-8 # Copyright 2018 The TF-Agents Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law...

34.474227

80

0.696172

429

3,344

5.263403

0.382284

0.124004

0.019929

0.013286

0.058459

0.022143

0

0.009178

0.218002

3,344

96

81

34.833333

0.854302

0.425837

0

0.191489

0

0.141555

0.01126

0

0.021277

1

0.085106

false

0.042553

0.106383

0

0.319149

0.021277

0

null

0

null

0

1

0

e3f9d1e7fbd73db26f8548fce222535435572494

3,985

py

Python

gen_mirror_json.py

Ashwin4RC/api

e6fc38b5ef8510ab4a11cb492fe49b9ed2cbcc58

[ "Apache-2.0" ]

null

gen_mirror_json.py

Ashwin4RC/api

e6fc38b5ef8510ab4a11cb492fe49b9ed2cbcc58

[ "Apache-2.0" ]

null

gen_mirror_json.py

Ashwin4RC/api

e6fc38b5ef8510ab4a11cb492fe49b9ed2cbcc58

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # pylint: disable=missing-docstring,invalid-name,broad-except,cell-var-from-loop import hashlib import json import os import sys from utils import get_date_from_zip, get_metadata_from_zip ALLOWED_BUILDTYPES = ["Alpha", "Beta", "Official", "Gapps"] ALLOWED_VERSIONS = ["9.0", "10"] FILE_BASE: s...

36.227273

88

0.496863

431

3,985

4.487239

0.306265

0.028956

0.026887

0.027921

0.188211

0.174767

0.116856

0.041365

0

0.027136

0.380427

3,985

109

89

36.559633

0.756177

0.036637

0

0.262626

0

0.098279

0

1

0

false

0

0.050505

0

0.050505

0

null

0

null

0

1

0

e3f9dc11cb81a8cb80e6cd940f8a035848122990

431

py

Python

button/take_screen.py

PitPietro/gpiozero-pyqt5

0384d34348841d193c025a1909d909d1bf772a7d

[ "MIT" ]

null

button/take_screen.py

PitPietro/gpiozero-pyqt5

0384d34348841d193c025a1909d909d1bf772a7d

[ "MIT" ]

null

button/take_screen.py

PitPietro/gpiozero-pyqt5

0384d34348841d193c025a1909d909d1bf772a7d

[ "MIT" ]

null

import os # from signal import pause from gpiozero import Button from datetime import datetime def take_screen(): screen_btn = Button(2) while True: if screen_btn.is_pressed: timestamp = datetime.now() cmd = "scrot -u d 5 $n {}.png".format('screen_' + str(timestamp)) ...

21.55

77

0.605568

55

431

4.6

0.563636

0.106719

0.086957

0

0.006557

0.292343

431

20

78

21.55

0.822951

0.160093

0

0.08078

0

1

0.090909

false

0

0.272727

0

0.363636

0

null

0

null

0

1

0

e3fb07a9be04e9aa4d5249fcb856df6a2aede22a

1,435

py

Python

year2020/day21.py

3schwartz/AdventOfCode

32f259c4e20c3c4834718411f1053b6a11f71c86

[ "MIT" ]

null

year2020/day21.py

3schwartz/AdventOfCode

32f259c4e20c3c4834718411f1053b6a11f71c86

[ "MIT" ]

null

year2020/day21.py

3schwartz/AdventOfCode

32f259c4e20c3c4834718411f1053b6a11f71c86

[ "MIT" ]

null

import common lines = common.get_lines('day21_data.txt') food_dict = {} all_ingredients = [] for line in lines: ingredients, allergens = line.split(' (contains ') allergens = allergens[:-1].split(', ') ingredients = ingredients.split(' ') all_ingredients.extend(ingredients) for alle...

32.613636

90

0.627875

163

1,435

5.374233

0.306748

0.109589

0.073059

0.071918

0.107306

0.063927

0

0.00666

0.267596

1,435

43

91

33.372093

0.826832

0

0.129403

0.029475

0

1

0

false

0

0.032258

0

0.032258

0.064516

0

null

0

null

0

1

0

e3fb126e341fe57625eff17359d622708faa18e2

4,279

py

Python

src/model_evaluation.py

Littleote/Analisis_de_contrasenyes

3837153e82b9da0c6f8ed1c372103944f3acaca6

[ "MIT" ]

null

src/model_evaluation.py

Littleote/Analisis_de_contrasenyes

3837153e82b9da0c6f8ed1c372103944f3acaca6

[ "MIT" ]

null

src/model_evaluation.py

Littleote/Analisis_de_contrasenyes

3837153e82b9da0c6f8ed1c372103944f3acaca6

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ @author: david """ import matplotlib.pyplot as plt import seaborn as sns import numpy as np from sklearn.model_selection import KFold from sklearn.metrics import confusion_matrix, classification_report from sklearn.metrics import PrecisionRecallDisplay, RocCurveDisplay class ModelEvaluatio...

40.752381

117

0.475111

501

4,279

3.988024

0.255489

0.009009

0.015015

0.032533

0.363363

0.311311

0.261261

0.234234

0

0.009675

0.396121

4,279

105

118

40.752381

0.763545

0.008647

0

0.377551

0

0.030612

0.148288

0.018182

0

1

0.010204

false

0

0.061224

0

0.081633

0.061224

0

null

0

null

0

1

0

e3fb3094156efbfadeca185946c48f3c4d800789

1,632

py

Python

setup.py

zhuzhenping/hf_at_py

edbbefc7dd1d476ed7fd62ad9635888cfc5fcb44

[ "Apache-2.0" ]

130

2017-03-10T02:01:38.000Z

2021-01-10T03:55:30.000Z

setup.py

zhuzhenping/hf_at_py

edbbefc7dd1d476ed7fd62ad9635888cfc5fcb44

[ "Apache-2.0" ]

3

2018-11-30T00:07:50.000Z

2020-12-01T13:01:13.000Z

setup.py

zhuzhenping/hf_at_py

edbbefc7dd1d476ed7fd62ad9635888cfc5fcb44

[ "Apache-2.0" ]

69

2017-04-01T13:57:21.000Z

2020-10-07T11:29:45.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2018/11/20 8:15 # @Author : HaiFeng # @Email : 24918700@qq.com from setuptools import setup import os this_directory = os.path.abspath(os.path.dirname(__file__)) # 读取文件内容 def read_file(filename): with open(os.path.join(this_directory, filename), enc...

29.142857

84

0.674632

200

1,632

5.345

0.595

0.084191

0.06174

0.072965

0

0.024133

0.1875

1,632

55

85

29.672727

0.782051

0.216912

0

0.260731

0

1

0.058824

false

0

0.058824

0.029412

0.176471

0

null

0

null

0

1

0

e3fbc1eef6b6ab6c9a1ff3c81478fc53b610ea00

6,478

py

Python

web_console_v2/api/fedlearner_webconsole/scheduler/transaction.py

chen1i/fedlearner

981514dadbd0aa49ae87d185dd247d310e35605c

[ "Apache-2.0" ]

5

2020-04-14T06:37:45.000Z

2021-04-26T15:58:01.000Z

web_console_v2/api/fedlearner_webconsole/scheduler/transaction.py

chen1i/fedlearner

981514dadbd0aa49ae87d185dd247d310e35605c

[ "Apache-2.0" ]

1

2020-04-27T03:01:27.000Z

web_console_v2/api/fedlearner_webconsole/scheduler/transaction.py

chen1i/fedlearner

981514dadbd0aa49ae87d185dd247d310e35605c

[ "Apache-2.0" ]

13

2020-02-20T05:56:52.000Z

2020-06-08T07:11:25.000Z

# Copyright 2020 The FedLearner Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...

39.742331

78

0.636153

651

6,478

6.086022

0.238095

0.133266

0.047198

0.040636

0.353104

0.325088

0.265018

0.197123

0.147148

0.074205

0

0.00242

0.29824

6,478

162

79

39.987654

0.869116

0.14063

0

0.291667

0

0.012083

0

0.033333

1

0.066667

false

0

0.033333

0.016667

0.208333

0

null

0

null

0

1

0

e3fd5d581d1b57f36ef591f8271741509e6dd229

4,636

py

Python

src/openeo_grass_gis_driver/models/schema_base.py

marcjansen/openeo-grassgis-driver

57b309819fdc456fba02cd1ab8fe6731ddfbb66a

[ "Apache-2.0" ]

7

2018-03-16T17:26:14.000Z

2022-03-09T08:19:10.000Z

src/openeo_grass_gis_driver/models/schema_base.py

marcjansen/openeo-grassgis-driver

57b309819fdc456fba02cd1ab8fe6731ddfbb66a

[ "Apache-2.0" ]

70

2018-03-09T11:28:12.000Z

2022-02-17T09:06:17.000Z

src/openeo_grass_gis_driver/models/schema_base.py

marcjansen/openeo-grassgis-driver

57b309819fdc456fba02cd1ab8fe6731ddfbb66a

[ "Apache-2.0" ]

13

2018-03-12T09:58:24.000Z

2022-02-23T10:40:11.000Z

# -*- coding: utf-8 -*- import json from typing import List, Optional from flask import make_response __author__ = "Sören Gebbert" __copyright__ = "Copyright 2018, Sören Gebbert, mundialis" __maintainer__ = "Sören Gebbert" __email__ = "soerengebbert@googlemail.com" def as_dict_without_nones(o): d = o.__dict__ ...

24.659574

85

0.613891

586

4,636

4.740614

0.354949

0.020158

0.023758

0.020158

0.345572

0.324694

0.294456

0

0.009935

0.30522

4,636

187

86

24.791444

0.85253

0.46484

0

0.292308

0

0.070448

0.012809

0

1

0.138462

false

0

0.046154

0.015385

0.338462

0

null

0

null

0

1

0

e3fff047d0d4657b650e98281fbe2b1e51ff6026

3,694

py

Python

src/outpost/django/salt/serializers.py

medunigraz/outpost.django.salt

bb8d3cefeaa8444ce15979689abdd93ed993304b

[ "BSD-2-Clause" ]

null

src/outpost/django/salt/serializers.py

medunigraz/outpost.django.salt

bb8d3cefeaa8444ce15979689abdd93ed993304b

[ "BSD-2-Clause" ]

null

src/outpost/django/salt/serializers.py

medunigraz/outpost.django.salt

bb8d3cefeaa8444ce15979689abdd93ed993304b

[ "BSD-2-Clause" ]

null

import logging import gpg from rest_framework import serializers from .conf import settings from . import models logger = logging.getLogger(__name__) class PGPFileField(serializers.Field): def to_representation(self, value): with gpg.Context(armor=True) as c: imp = c.key_import(settings.SAL...

32.403509

88

0.674066

375

3,694

6.525333

0.336

0.065386

0.039232

0.057213

0.07029

0.04904

0.026154

0

0.003095

0.212777

3,694

113

89

32.690265

0.838377

0.016513

0

0.084337

0

0.109061

0.006059

0

1

0.048193

false

0

0.108434

0.024096

0.614458

0.024096

0

null

0

null

0

1

0

e3fff64e6905d157f27dedffc36bcf8b6222a9c6

11,950

py

Python

demosauruswebapp/demosaurus/link_thesaurus.py

KBNLresearch/Demosaurus

9235e315d9eef9d8d64f94a90ab4fc8220670ef2

[ "Apache-2.0" ]

1

2020-06-25T16:39:35.000Z

demosauruswebapp/demosaurus/link_thesaurus.py

KBNLresearch/Demosaurus

9235e315d9eef9d8d64f94a90ab4fc8220670ef2

[ "Apache-2.0" ]

6

2020-03-06T12:31:38.000Z

2021-09-20T15:08:17.000Z

demosauruswebapp/demosaurus/link_thesaurus.py

KBNLresearch/Demosaurus

9235e315d9eef9d8d64f94a90ab4fc8220670ef2

[ "Apache-2.0" ]

null

from flask import ( Blueprint, flash, g, redirect, render_template, get_template_attribute, request, url_for, jsonify ) #from ....dataprocessing import # dataprocessin .read_rdf import from demosauruswebapp.demosaurus.db import get_db import pandas as pd from nltk.metrics import distance as nl_distance import re im...

49.585062

139

0.647699

1,527

11,950

4.929928

0.225278

0.046626

0.01594

0.022317

0.306854

0.262487

0.248007

0.2322

0.200319

0

0.015017

0.247699

11,950

240

140

49.791667

0.822358

0.271297

0

0.266272

0

0.140966

0.013818

0.005917

0

0.004167

0.005917

1

0.059172

false

0

0.071006

0

0.189349

0.035503

0

null

0

null

0

1

0