xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

273f5601e7028883ce023d07d960ba6fa3bb289d

1,716

py

Python

M-SPRING/heuristic/shortest_paths.py

CN-UPB/SPRING

1cb74919689e832987cb2c9b490eec7f09a64f52

[ "Apache-2.0" ]

3

2019-09-27T08:07:11.000Z

2021-11-19T11:27:39.000Z

M-SPRING/heuristic/shortest_paths.py

CN-UPB/SPRING

1cb74919689e832987cb2c9b490eec7f09a64f52

[ "Apache-2.0" ]

null

M-SPRING/heuristic/shortest_paths.py

CN-UPB/SPRING

1cb74919689e832987cb2c9b490eec7f09a64f52

[ "Apache-2.0" ]

null

import math # return the delay of the specified path (= list of nodes) def path_delay(links, path): delay = 0 # go along nodes of the path and increment delay for each traversed link for i in range(len(path) - 1): # skip connections on same node without a link (both inst at same node) if path[i] != pa...

36.510638

104

0.648601

280

1,716

3.889286

0.303571

0.202938

0.110193

0.078053

0.212121

0.17539

0.117539

0

0.036704

0.222028

1,716

46

105

37.304348

0.779026

0.363636

0

0.153846

0

1

0.076923

false

0

0.038462

0

0.192308

0

null

1

0

null

0

1

273f6a820dd8f3aeae5864ba60eb32fd5d0541ad

2,398

py

Python

testing/statistic.py

methk/RadixDLT-IoTSimulation

886ba589c8e7be08c95cf3636438c10e97e16752

[ "MIT" ]

null

testing/statistic.py

methk/RadixDLT-IoTSimulation

886ba589c8e7be08c95cf3636438c10e97e16752

[ "MIT" ]

3

2021-03-09T21:18:22.000Z

2021-09-02T01:05:44.000Z

testing/statistic.py

methk/RadixDLT-IoTSimulation

886ba589c8e7be08c95cf3636438c10e97e16752

[ "MIT" ]

1

2022-02-18T14:51:46.000Z

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

27.25

95

0.565888

259

2,398

5.223938

0.416988

0.022173

0.03252

0.033999

0.035477

0

0.025989

0.293995

2,398

87

96

27.563218

0.773184

0

0.027778

0

0.052544

0

1

0.013889

false

0

0.069444

0

0.097222

0.041667

0

null

0

null

0

1

0

273feec7e2e1888ae2ab4fb11f3421c980ee0353

4,844

py

Python

skutil/preprocessing/tests/test_balance.py

tgsmith61591/pynorm

672e353a721036791e1e32250879c3276961e05a

[ "BSD-3-Clause" ]

38

2016-08-31T19:24:13.000Z

2021-06-28T17:10:20.000Z

skutil/preprocessing/tests/test_balance.py

tgsmith61591/pynorm

672e353a721036791e1e32250879c3276961e05a

[ "BSD-3-Clause" ]

42

2016-06-20T19:07:21.000Z

2017-10-29T20:53:11.000Z

skutil/preprocessing/tests/test_balance.py

tgsmith61591/pynorm

672e353a721036791e1e32250879c3276961e05a

[ "BSD-3-Clause" ]

17

2016-06-27T18:07:53.000Z

2019-04-09T12:33:59.000Z

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

27.367232

93

0.635632

678

4,844

4.41003

0.233038

0.051171

0.069231

0.430435

0.396656

0.317057

0.280936

0.247492

0

0.036987

0.240917

4,844

176

94

27.522727

0.776176

0.091453

0

0.48

0

0.021427

0

0.256

1

0.08

false

0

0.072

0.008

0.176

0.008

0

null

0

null

0

1

0

2740e363aa1f94977ef475388c48f61555bf5a1a

754

py

Python

hard-gists/5017218/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

21

2019-07-08T08:26:45.000Z

2022-01-24T23:53:25.000Z

hard-gists/5017218/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

5

2019-06-15T14:47:47.000Z

2022-02-26T05:02:56.000Z

hard-gists/5017218/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

17

2019-05-16T03:50:34.000Z

2021-01-14T14:35:12.000Z

#!/usr/bin/env python from Crypto.Cipher import AES from Crypto.Util.strxor import strxor from binascii import hexlify K = '0123456789abcdef' cipher = AES.new(K, AES.MODE_ECB) # Original Message M1 = K M2 = K Cm0 = cipher.encrypt('\0' * AES.block_size) Cm1 = cipher.encrypt(strxor(Cm0,M1)) Tm = Cm2 = cipher.encrypt(s...

25.133333

47

0.709549

121

754

4.396694

0.429752

0.195489

0.214286

0.06391

0.097744

0

0.057011

0.139257

754

29

48

26

0.762712

0.171088

0

0.086957

0

null

0

0.157895

null

0.105263

0

null

0

1

0

null

0

1

0

2

274247c350250c602de94ec641a4010f931234e4

3,540

py

Python

options/running_options.py

kwshh/ImageDeconvlution

561468463372a5727b553efa0330fc75901e29fc

[ "MIT" ]

25

2019-05-10T13:51:25.000Z

2021-10-13T01:35:43.000Z

options/running_options.py

kwshh/ImageDeconvlution

561468463372a5727b553efa0330fc75901e29fc

[ "MIT" ]

8

2019-05-10T13:51:07.000Z

2021-06-03T07:13:28.000Z

options/running_options.py

kwshh/ImageDeconvlution

561468463372a5727b553efa0330fc75901e29fc

[ "MIT" ]

7

2020-08-15T09:16:11.000Z

2021-07-06T21:54:20.000Z

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

41.647059

110

0.487288

342

3,540

4.97076

0.383041

0.068824

0.13

0.061765

0.127059

0

0.00849

0.367797

3,540

84

111

42.142857

0.751117

0.062712

0

0.197183

0

0.177093

0

1

0.070423

false

0

0.014085

0

0.15493

0.070423

0

null

0

null

0

1

0

2743e4857e6a05d46ea22a4c0d0bcac87b1eae86

982

py

Python

python/scanr_doiresolver-0.10/scanr_doiresolver/main.py

dataesr/scanr-backend

39681be69b9a96b4a07b9410754c897cd5b65c24

[ "MIT" ]

null

python/scanr_doiresolver-0.10/scanr_doiresolver/main.py

dataesr/scanr-backend

39681be69b9a96b4a07b9410754c897cd5b65c24

[ "MIT" ]

null

python/scanr_doiresolver-0.10/scanr_doiresolver/main.py

dataesr/scanr-backend

39681be69b9a96b4a07b9410754c897cd5b65c24

[ "MIT" ]

null

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

30.6875

96

0.602851

104

982

5.432692

0.471154

0.042478

0.067257

0

0.272912

982

31

97

31.677419

0.791317

0.089613

0

0.107728

0

1

0.047619

false

0

0.238095

0

0.380952

0

null

0

null

0

1

0

27453b9db08872e055996422f63acffb64350e41

361

py

Python

examples/03additionals/legacy_score.py

dotness/swagger-marshmallow-codegen

62938d780672d754431d50bde3eae04abefb64f1

[ "MIT" ]

null

examples/03additionals/legacy_score.py

dotness/swagger-marshmallow-codegen

62938d780672d754431d50bde3eae04abefb64f1

[ "MIT" ]

null

examples/03additionals/legacy_score.py

dotness/swagger-marshmallow-codegen

62938d780672d754431d50bde3eae04abefb64f1

[ "MIT" ]

null

# -*- coding:utf-8 -*- # this is auto-generated by swagger-marshmallow-codegen from swagger_marshmallow_codegen.schema.legacy import ( AdditionalPropertiesSchema, LegacySchema ) from marshmallow import fields class Score(AdditionalPropertiesSchema): name = fields.String(required=True) class Meta: ...

24.066667

55

0.753463

38

361

7.078947

0.736842

0.133829

0.185874

0

0.0033

0.160665

361

14

56

25.785714

0.884488

0.204986

0

1

0

1

0

false

0

0.222222

0

0.555556

0

null

0

1

0

1

0

null

0

1

0

3

2746d32e08d6ab65d2525605b064c6bb89db2db5

1,280

py

Python

tests/bigwig/test_create_bigwigs.py

BioinformaticsMaterials/epic

d601f2384784ea38f5de8c25156be4c8d9ef2fff

[ "MIT" ]

null

tests/bigwig/test_create_bigwigs.py

BioinformaticsMaterials/epic

d601f2384784ea38f5de8c25156be4c8d9ef2fff

[ "MIT" ]

null

tests/bigwig/test_create_bigwigs.py

BioinformaticsMaterials/epic

d601f2384784ea38f5de8c25156be4c8d9ef2fff

[ "MIT" ]

null

import pytest import pandas as pd import numpy as np from os import stat from io import StringIO from epic.bigwig.create_bigwigs import _create_bigwig from epic.config.genomes import create_genome_size_dict @pytest.fixture def input_data(): contents = u"""Chromosome Bin End examples/test.bed chr1 887600 887799 ...

21.333333

76

0.767969

203

1,280

4.699507

0.497537

0.062893

0.033543

0.041929

0

0.289991

0.164844

1,280

59

77

21.694915

0.602432

0

0.045455

0

0.385156

0

0.022727

1

0.068182

false

0

0.159091

0

0.272727

0.090909

0

null

0

1

0

null

0

1

27484ca2bc8228c9f67c0d19e4ae6ba4c2b57e35

555

py

Python

tests/solvers/__init__.py

neuyhwu/MIPLearn

c6b31a827d6c6e682d45171f21478162c0bc46d6

[ "BSD-3-Clause" ]

64

2020-02-27T01:24:40.000Z

2022-03-31T12:38:56.000Z

tests/solvers/__init__.py

neuyhwu/MIPLearn

c6b31a827d6c6e682d45171f21478162c0bc46d6

[ "BSD-3-Clause" ]

3

2020-04-07T14:43:31.000Z

2021-01-15T14:02:01.000Z

tests/solvers/__init__.py

zclab/MIPLearn

9bd64c885aa645d41c30fa0ec4e0eedfaf703dac

[ "BSD-3-Clause" ]

13

2020-03-30T16:41:38.000Z

2022-02-17T15:38:01.000Z

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

30.833333

82

0.731532

70

555

5.714286

0.728571

0.07

0

0.01766

0.183784

555

17

83

32.647059

0.865342

0.403604

0

0.07362

0

0.2

1

0.1

false

0

0.3

0

0.4

0.1

0

null

0

null

0

1

0

27486b3592aa44c1f3081be500edb4d9d40e6414

1,717

py

Python

QuantumBlack Machine Learning Software Engineer 2019/Correlation.py

sivolko/codeforce

4b00c4c012780036e56d2f0e79adb2f5db7559df

[ "MIT" ]

3

2021-04-21T07:11:33.000Z

2022-01-09T00:05:55.000Z

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

sweetpand/Algorithms

2e4dcf2d42de25531fae5b4ec0d96ce100043117

[ "MIT" ]

null

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

sweetpand/Algorithms

2e4dcf2d42de25531fae5b4ec0d96ce100043117

[ "MIT" ]

null

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

33.019231

115

0.638905

235

1,717

4.582979

0.404255

0.092851

0.041783

0.029712

0

0.107321

0.180547

1,717

51

116

33.666667

0.658138

0.159581

0

0.141463

0

1

0.068966

false

0

0.034483

0

0.172414

0.034483

0

null

0

null

0

1

0

27487403a3d7b9e65ea004d6b9bb66d14163ac93

2,617

py

Python

utest/test_iinekoko_db.py

MizunagiKB/IIneKoKo

495ae6dc2887bb8b41331fab1f21812368400cf2

[ "MIT" ]

null

utest/test_iinekoko_db.py

MizunagiKB/IIneKoKo

495ae6dc2887bb8b41331fab1f21812368400cf2

[ "MIT" ]

null

utest/test_iinekoko_db.py

MizunagiKB/IIneKoKo

495ae6dc2887bb8b41331fab1f21812368400cf2

[ "MIT" ]

null

import sys import unittest import configparser sys.path.append("./svc") class CIIneKoKo_DB(unittest.TestCase): def setUp(self): import iinekoko_db self.o_conf = configparser.ConfigParser() self.o_conf.read("./svc/config.ini") self.o_conn = iinekoko_db.CDatabase(self.o_conf) d...

29.077778

79

0.632404

382

2,617

3.950262

0.17801

0.059642

0.083499

0.047714

0.63552

0.488403

0.406229

0.348575

0.33002

0.275679

0

0.020124

0.259457

2,617

89

80

29.404494

0.758514

0.001911

0

0.057377

0

1

0.166667

false

0.083333

0.333333

0

0.583333

0

null

0

null

0

1

0

1

0

3

2748a53e6b912bda05b5145d677d95d85ebd3529

987

py

Python

Champion.py

KhangOP/PaladinsAssistantBot

9b705dc688610ba52909f0b0e152d8684006c6a6

[ "MIT" ]

null

Champion.py

KhangOP/PaladinsAssistantBot

9b705dc688610ba52909f0b0e152d8684006c6a6

[ "MIT" ]

null

Champion.py

KhangOP/PaladinsAssistantBot

9b705dc688610ba52909f0b0e152d8684006c6a6

[ "MIT" ]

null

# Class to store champion names in one location class Champion: """Champions in Paladins""" DAMAGES = ["Cassie", "Kinessa", "Drogoz", "Bomb King", "Viktor", "Sha Lin", "Tyra", "Willo", "Lian", "Strix", "Vivian", "Dredge", "Imani", "Tiberius"] FLANKS = ["Skye", "Buck", "Evie", "Androxus", "Mae...

42.913043

116

0.566363

119

987

4.621849

0.680672

0.114545

0.08

0.109091

0.103636

0

0.006906

0.266464

987

22

117

44.863636

0.752762

0.109422

0

0.264908

0

1

0.055556

false

0

0.611111

0

null

0

null

0

1

0

1

27491dfc485679f55f2ea50c1629c408b70c365b

2,292

py

Python

src/gpuz/data_helper.py

scalasm/gpuz-log-analysis

c9a6dd46bf8a12120c9d284411c5b1562b97fdfd

[ "Apache-2.0" ]

null

src/gpuz/data_helper.py

scalasm/gpuz-log-analysis

c9a6dd46bf8a12120c9d284411c5b1562b97fdfd

[ "Apache-2.0" ]

null

src/gpuz/data_helper.py

scalasm/gpuz-log-analysis

c9a6dd46bf8a12120c9d284411c5b1562b97fdfd

[ "Apache-2.0" ]

null

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

32.742857

94

0.665794

313

2,292

4.57508

0.284345

0.115223

0.073324

0.050279

0.25419

0.219274

0.173184

0.121508

0.065642

0

0.238656

2,292

69

95

33.217391

0.82063

0.014398

0

0.078431

0

0.116083

0.011077

0

1

0.137255

false

0

0.176471

0.039216

0.431373

0.019608

0

null

0

null

0

1

0

274a678ce7ef66ccf7cfb21453ee41a8617d1632

4,173

py

Python

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

PaulCCCCCCH/m5-101

81201b00cd81c1747ea0cd5f042a09eda02d6d1c

[ "MIT" ]

4

2021-03-25T13:15:38.000Z

2021-11-10T12:29:19.000Z

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

PaulCCCCCCH/m5-101

81201b00cd81c1747ea0cd5f042a09eda02d6d1c

[ "MIT" ]

null

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

PaulCCCCCCH/m5-101

81201b00cd81c1747ea0cd5f042a09eda02d6d1c

[ "MIT" ]

4

2021-03-25T13:18:10.000Z

2021-04-08T13:44:48.000Z

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

32.601563

163

0.578481

564

4,173

4.161348

0.264184

0.03579

0.030677

0.014061

0.438858

0.388581

0.362164

0.34853

0.334043

0

0.00328

0.196262

4,173

127

164

32.858268

0.696482

0.677211

0

0.088767

0

1

0.057143

false

0

0.257143

0.028571

0.371429

0.028571

0

null

0

null

0

1

0

274f3dedfd8af9c5162a6375c14921ce4ca86095

6,319

py

Python

sandbox/andrew/run_trpo_strike.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

49

2017-12-11T11:00:02.000Z

2022-03-30T05:19:31.000Z

sandbox/andrew/run_trpo_strike.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

2

2018-01-01T17:39:56.000Z

2019-07-24T04:49:08.000Z

sandbox/andrew/run_trpo_strike.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

12

2017-12-13T11:52:17.000Z

2020-12-03T00:53:29.000Z

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

37.613095

100

0.547238

689

6,319

4.869376

0.34688

0.034873

0.021461

0.019076

0.273323

0.157377

0.12459

0.08763

0.05842

0

0.057545

0.337237

6,319

167

101

37.838323

0.743553

0.109828

0

0.030534

0

0.090114

0.025161

0

1

0.007634

false

0

0.114504

0

0.129771

0

null

0

null

0

1

0

274fe43fa546672495660673160348de8f0a6c2e

17,257

py

Python

bpmfwfft/fft_sampling.py

jimtufts/bpmfwfft

091d2269b122f00b9dd8a01e34303e3e946f8ea0

[ "MIT" ]

null

bpmfwfft/fft_sampling.py

jimtufts/bpmfwfft

091d2269b122f00b9dd8a01e34303e3e946f8ea0

[ "MIT" ]

null

bpmfwfft/fft_sampling.py

jimtufts/bpmfwfft

091d2269b122f00b9dd8a01e34303e3e946f8ea0

[ "MIT" ]

null

""" This is to generate interaction energies and corresponding translational vectors, given a fixed receptor and an ensemble of ligand coordinates (including rotations and/or configurations) """ from __future__ import print_function import numpy as np import netCDF4 try: from bpmfwfft.grids import RecGrid fr...

42.296569

134

0.665121

2,230

17,257

4.757848

0.113453

0.058812

0.031668

0.043544

0.675589

0.630537

0.590763

0.570594

0.559284

0.545806

0

0.007583

0.228139

17,257

407

135

42.400491

0.788964

0.117981

0

0.548263

1

0

0.143417

0.039144

0

0.002457

0.003861

1

0.050193

false

0

0.027027

0

0.135135

0.065637

0

null

0

1

0

null

0

1

27516da8559c76c6cbc57c679759132dc516e07e

6,241

py

Python

kotori/config.py

joshuaavalon/kotori

3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b

[ "Apache-2.0" ]

null

kotori/config.py

joshuaavalon/kotori

3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b

[ "Apache-2.0" ]

null

kotori/config.py

joshuaavalon/kotori

3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b

[ "Apache-2.0" ]

null

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

30.296117

78

0.621054

723

6,241

5.282158

0.193638

0.020162

0.021995

0.03116

0.227023

0.183032

0.134067

0.101859

0.019377

0

0.001516

0.260054

6,241

205

79

30.443902

0.825466

0.005127

0

0.263473

0

0.058321

0.003544

0

1

0.107784

false

0

0.05988

0.017964

0.467066

0

null

0

null

0

1

0

27542459664ee95574391c6b162f6e4cf09c76b9

4,587

py

Python

parser_utils.py

fgypas/panoptes

d85bf83905fd0e546cce11e00d4daf4da2199fbf

[ "MIT" ]

1

2019-11-03T22:08:19.000Z

parser_utils.py

fgypas/panoptes

d85bf83905fd0e546cce11e00d4daf4da2199fbf

[ "MIT" ]

27

2019-10-23T19:24:38.000Z

2022-02-10T19:40:24.000Z

parser_utils.py

fgypas/panoptes

d85bf83905fd0e546cce11e00d4daf4da2199fbf

[ "MIT" ]

null

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

30.177632

106

0.480706

490

4,587

4.334694

0.257143

0.051789

0.011299

0.060264

0.148305

0.108286

0.088512

0.037665

0

0.007278

0.400916

4,587

151

107

30.377483

0.765648

0.094615

0

0.203884

0

0.009709

0.129657

0.006373

0

1

0.038835

false

0.009709

0.106796

0

0.165049

0.038835

0

null

0

null

0

1

0

2755a12d13ff285f1e00c9a95f222cd1d7e6e11b

71

py

Python

nimanifold/data/__init__.py

jcreinhold/nimanifold

21e6546d24304a7ccfdd6a56d7ec47b2527e1c15

[ "Apache-2.0" ]

null

nimanifold/data/__init__.py

jcreinhold/nimanifold

21e6546d24304a7ccfdd6a56d7ec47b2527e1c15

[ "Apache-2.0" ]

null

nimanifold/data/__init__.py

jcreinhold/nimanifold

21e6546d24304a7ccfdd6a56d7ec47b2527e1c15

[ "Apache-2.0" ]

null

from nimanifold.data.csv import * from nimanifold.data.sample import *

23.666667

36

0.802817

10

71

5.7

0.6

0.491228

0.631579

0

0.112676

71

2

37

35.5

0.904762

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

2756a87403668d7d8cbcd575aefad24bc180bbaa

452

py

Python

Simulations/Test.py

BoettigerLab/polychrom

b9d6b0e0f1a62def13ac28a32232c33628e43dae

[ "MIT" ]

null

Simulations/Test.py

BoettigerLab/polychrom

b9d6b0e0f1a62def13ac28a32232c33628e43dae

[ "MIT" ]

null

Simulations/Test.py

BoettigerLab/polychrom

b9d6b0e0f1a62def13ac28a32232c33628e43dae

[ "MIT" ]

null

import sys import os import numpy as np import ast import pandas as pd from LEBondUpdater import bondUpdater import polychrom from polychrom.starting_conformations import grow_cubic from polychrom.hdf5_format import HDF5Reporter, list_URIs, load_URI, load_hdf5_file from polychrom.simulation import Simulation from pol...

21.52381

83

0.85177

63

452

6

0.52381

0.206349

0.150794

0

0.010101

0.123894

452

20

84

22.6

0.944444

0

0.017699

0

1

0

true

0

0.9375

0

0.9375

0.0625

0

null

1

0

null

0

1

0

1

0

1

0

4

27574dceb612771ac763cff0815e740d67568d21

373

py

Python

deca/gui/deca_interfaces.py

kk49/deca

8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae

[ "MIT" ]

50

2019-06-05T04:01:04.000Z

2022-03-05T14:56:43.000Z

deca/gui/deca_interfaces.py

kk49/deca

8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae

[ "MIT" ]

115

2019-03-27T13:34:00.000Z

2022-03-11T23:43:12.000Z

deca/gui/deca_interfaces.py

kk49/deca

8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae

[ "MIT" ]

13

2020-01-25T01:15:49.000Z

2022-02-08T02:20:05.000Z

from PySide2.QtCore import Signal from PySide2.QtWidgets import QWidget from deca.db_view import VfsView class IVfsViewSrc(QWidget): signal_visible_changed = Signal(VfsView) signal_selection_changed = Signal(VfsView) def vfs_get(self): return None def vfs_view_get(self): return None ...

20.722222

46

0.723861

48

373

5.4375

0.520833

0.084291

0.153257

0.130268

0.153257

0

0.006849

0.217158

373

17

47

21.941176

0.886986

0

0.166667

0

1

0.25

false

0.083333

0.25

0.166667

0.916667

0

null

0

null

0

1

0

1

0

1

0

4

2758815a9272e4ba22d391476a74de67b2fc6c02

7,746

py

Python

python/beached_probability.py

OceanParcels/BayesianAnalysis_SouthAtlantic

a808896ea9104931a6ad625531231525c6c12826

[ "MIT" ]

1

2022-01-12T08:24:14.000Z

python/beached_probability.py

OceanParcels/BayesianAnalysis_SouthAtlantic

a808896ea9104931a6ad625531231525c6c12826

[ "MIT" ]

null

python/beached_probability.py

OceanParcels/BayesianAnalysis_SouthAtlantic

a808896ea9104931a6ad625531231525c6c12826

[ "MIT" ]

null

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

35.53211

79

0.572941

901

7,746

4.748058

0.251942

0.025713

0.017999

0.010285

0.159654

0.13698

0.102852

0.034596

0.025245

0

0.013271

0.202298

7,746

217

80

35.695853

0.679074

0.207333

0

0.139344

0

0.118491

0.034977

0

1

0.008197

false

0

0.032787

0

0.04918

0.07377

0

null

0

null

0

1

0

2759eded27b5f65ad495b43a6846ccc30736fba9

2,985

py

Python

models/cam_decoder.py

BwCai/DCAA-UDA

359c2122060aebfbe4384c918768c261fe2dc9c7

[ "Apache-2.0" ]

2

2022-01-28T10:35:53.000Z

2022-03-09T14:38:59.000Z

models/cam_decoder.py

BwCai/DCAA-UDA

359c2122060aebfbe4384c918768c261fe2dc9c7

[ "Apache-2.0" ]

1

2022-03-07T10:48:11.000Z

models/cam_decoder.py

BwCai/DCAA-UDA

359c2122060aebfbe4384c918768c261fe2dc9c7

[ "Apache-2.0" ]

null

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

37.78481

98

0.59665

401

2,985

4.25187

0.246883

0.051613

0.02346

0.031672

0.398827

0.323754

0.219941

0.185924

0

0.045092

0.286767

2,985

78

99

38.269231

0.755754

0.022111

0

0.151515

0

0.010981

0

1

0.060606

false

0

0.121212

0.015152

0.227273

0

null

0

null

0

1

0

275bb771b2d649e2d94b8d769d96499bc3dc8e16

2,505

py

Python

src/server/noize_reduction.py

kikuchiken-waseda/MRIVuewer

66cfe30d006b6491a093a9dfab5b538c5e49409e

[ "MIT" ]

null

src/server/noize_reduction.py

kikuchiken-waseda/MRIVuewer

66cfe30d006b6491a093a9dfab5b538c5e49409e

[ "MIT" ]

23

2020-02-11T19:13:24.000Z

2020-05-16T07:49:43.000Z

src/server/noize_reduction.py

kikuchiken-waseda/MRIVuewer

66cfe30d006b6491a093a9dfab5b538c5e49409e

[ "MIT" ]

null

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

30.54878

77

0.621158

308

2,505

4.996753

0.337662

0.035088

0.020793

0.02989

0.033788

0

0.030514

0.254291

2,505

81

78

30.925926

0.793362

0.005589

0

0.111111

0

0.025713

0

1

0.055556

false

0

0.125

0

0.208333

0

null

0

null

0

1

0

275bf3b0ea75846995ad189f786825044efb445e

4,940

py

Python

chord_rec/harmalysis/classes/scale.py

TianxueHu/ChordSymbolRec

d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac

[ "Unlicense", "MIT" ]

null

chord_rec/harmalysis/classes/scale.py

TianxueHu/ChordSymbolRec

d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac

[ "Unlicense", "MIT" ]

null

chord_rec/harmalysis/classes/scale.py

TianxueHu/ChordSymbolRec

d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac

[ "Unlicense", "MIT" ]

null

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

35.285714

84

0.411943

678

4,940

2.927729

0.187316

0.054408

0.071033

0.066499

0.488161

0.438287

0.271537

0.198992

0.182368

0.115365

0

0.076059

0.369231

4,940

140

85

35.285714

0.560976

0.193927

0

0.452632

0

0.050077

0

1

0.063158

false

0

0.021053

0

0.147368

0

null

0

null

0

1

0

275c01a7663aa8d447750578c192b3d7fd40d88b

1,335

py

Python

airq/api/crypto.py

dwightmulcahy/airq

82e97825f70852d7fab973e498ef71345e1ed422

[ "MIT" ]

6

2020-11-25T10:34:52.000Z

2022-02-18T22:22:12.000Z

airq/api/crypto.py

dwightmulcahy/airq

82e97825f70852d7fab973e498ef71345e1ed422

[ "MIT" ]

6

2021-10-15T06:49:14.000Z

2021-11-09T20:30:01.000Z

airq/api/crypto.py

dwightmulcahy/airq

82e97825f70852d7fab973e498ef71345e1ed422

[ "MIT" ]

2

2021-04-18T03:11:35.000Z

2022-01-01T23:02:51.000Z

import hashlib from Crypto.Cipher import AES class Crypto: SALT = "@uhooinc.com" def __init__(self, clientCode): self.key = hashlib.md5( clientCode.encode("utf-8") ).digest() # initialization key self.length = AES.block_size # Initialize the block size self.aes =...

32.560976

112

0.597753

163

1,335

4.852761

0.472393

0.025284

0.037927

0

0.012645

0.289139

1,335

40

113

33.375

0.820864

0.176779

0

0.038246

0

1

0.133333

false

0.166667

0.066667

0

0.366667

0

null

0

null

0

1

0

1

275c77321e139727fd234a2be346f888681c1954

8,350

py

Python

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

Robbybp/idaes-pse

8a41dbd05819f82806cf17a6e5f06aef79a775e3

[ "RSA-MD" ]

null

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

Robbybp/idaes-pse

8a41dbd05819f82806cf17a6e5f06aef79a775e3

[ "RSA-MD" ]

2

2021-08-18T19:42:02.000Z

2021-10-22T04:44:31.000Z

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

Robbybp/idaes-pse

8a41dbd05819f82806cf17a6e5f06aef79a775e3

[ "RSA-MD" ]

1

2021-03-17T20:31:17.000Z

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

38.127854

82

0.623713

964

8,350

5.173237

0.274896

0.061761

0.015641

0.024063

0.232404

0.175657

0.166433

0.131141

0.10387

0.091839

0

0.011456

0.236886

8,350

218

83

38.302752

0.771186

0.216287

0

0.111111

0

0.021739

0

1

0.006944

false

0

0.069444

0

0.083333

0.006944

0

null

0

null

0

1

0

275e2811cd73b93eae3878d64929106994338a2d

1,642

py

Python

apps/scheduler/migrations/0008_current_task.py

techlib/czechelib-stats

ca132e326af0924740a525710474870b1fb5fd37

[ "MIT" ]

1

2019-12-12T15:38:42.000Z

apps/scheduler/migrations/0008_current_task.py

techlib/czechelib-stats

ca132e326af0924740a525710474870b1fb5fd37

[ "MIT" ]

null

apps/scheduler/migrations/0008_current_task.py

techlib/czechelib-stats

ca132e326af0924740a525710474870b1fb5fd37

[ "MIT" ]

null

# Generated by Django 3.1.3 on 2020-11-23 15:06 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('scheduler', '0007_fetchintention_one_to_one_attempt'), ] operations = [ migrations.AddField( mo...

30.407407

85

0.54933

147

1,642

5.979592

0.380952

0.051195

0.059158

0.077361

0.477816

0.374289

0.267349

0.10694

0

0.017807

0.350183

1,642

53

86

30.981132

0.805998

0.027406

0

0.468085

1

0

0.176176

0.052665

0

1

0

false

0

0.042553

0

0.106383

0

null

0

1

0

null

0

1

275e8507ce35dccac0615b8d962c545d75b3823a

2,555

py

Python

connect_four/transposition/sqlite_transposition_table_test.py

rpachauri/connect4

6caf6965afaaff6883193ac295c6ac5b1f4e9c4a

[ "MIT" ]

null

connect_four/transposition/sqlite_transposition_table_test.py

rpachauri/connect4

6caf6965afaaff6883193ac295c6ac5b1f4e9c4a

[ "MIT" ]

null

connect_four/transposition/sqlite_transposition_table_test.py

rpachauri/connect4

6caf6965afaaff6883193ac295c6ac5b1f4e9c4a

[ "MIT" ]

null

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

30.416667

90

0.523288

269

2,555

4.791822

0.208178

0.079131

0.111715

0.139643

0.664081

0.617533

0.552366

0

0.039879

0.35225

2,555

83

91

30.783133

0.738973

0

0.625

0

0.025832

0

0.083333

1

0.055556

false

0

0.069444

0

0.138889

0

null

0

null

0

1

0

275ea88f14a647fe3701cbe45b6f30ea2d89fba6

1,226

py

Python

test/unittests/study/mri/test_mc.py

szho42/banana

131804803e6293716e9d11cbb6f3ca244b2931f9

[ "Apache-2.0" ]

null

test/unittests/study/mri/test_mc.py

szho42/banana

131804803e6293716e9d11cbb6f3ca244b2931f9

[ "Apache-2.0" ]

null

test/unittests/study/mri/test_mc.py

szho42/banana

131804803e6293716e9d11cbb6f3ca244b2931f9

[ "Apache-2.0" ]

null

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

32.263158

97

0.681892

136

1,226

5.933824

0.382353

0.037175

0.061958

0.096654

0

0.013333

0.204731

1,226

37

98

33.135135

0.814359

0.355628

0

0.087516

0

0.05

1

0.05

false

0

0.15

0

0.25

0

null

0

null

0

1

0

275f0b6cee294c3156bfba77754c517b6dc76211

162

py

Python

dgbpy/__init__.py

maxprop/dgbpy

05d0900b0fb2cb612b298c8c78f0f84640a38c4e

[ "Apache-2.0" ]

7

2021-11-18T18:03:46.000Z

2022-02-09T06:55:50.000Z

dgbpy/__init__.py

maxprop/dgbpy

05d0900b0fb2cb612b298c8c78f0f84640a38c4e

[ "Apache-2.0" ]

null

dgbpy/__init__.py

maxprop/dgbpy

05d0900b0fb2cb612b298c8c78f0f84640a38c4e

[ "Apache-2.0" ]

1

2022-03-18T06:55:55.000Z

# # (C) dGB Beheer B.V.; (LICENSE) http://opendtect.org/OpendTect_license.txt # AUTHOR : Bert # DATE : August 2018 # # Module init # __version__ = '1.0.0'

16.2

75

0.635802

23

162

4.26087

0.869565

0

0.053846

0.197531

162

9

76

18

0.7

0.765432

0

0.166667

0

1

0

false

0

1

0

null

0

1

0

null

0

2

27616031c83ae4189c96219a4ca18b7e0e254aed

1,052

py

Python

tests/test_country_service.py

gothill/python-fedex

62dc8f554babd7066d6c6e7c478944f30fc2b75b

[ "BSD-3-Clause" ]

100

2016-01-22T23:46:10.000Z

2022-03-26T05:00:53.000Z

tests/test_country_service.py

gothill/python-fedex

62dc8f554babd7066d6c6e7c478944f30fc2b75b

[ "BSD-3-Clause" ]

77

2016-01-19T06:10:22.000Z

2022-03-26T06:04:14.000Z

tests/test_country_service.py

gothill/python-fedex

62dc8f554babd7066d6c6e7c478944f30fc2b75b

[ "BSD-3-Clause" ]

102

2016-02-08T23:28:45.000Z

2022-02-28T11:37:27.000Z

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

25.658537

75

0.742395

121

1,052

6.289256

0.586777

0.03548

0.036794

0

0.00678

0.158745

1,052

40

76

26.3

0.853107

0.147338

0

0.065217

0

0.095238

1

0.047619

false

0

0.238095

0

0.333333

0

null

0

null

0

1

0

27621f7f93d71cdc400cae5017e3588d01c3c114

3,730

py

Python

setup_tools/getkucore.py

dougmassay/kindleunpack-calibre-plugin

906fc3820a9b1c179fc754ae5774ebe689a61419

[ "Unlicense", "MIT" ]

101

2015-03-24T10:29:15.000Z

2022-03-25T07:15:45.000Z

setup_tools/getkucore.py

dougmassay/kindleunpack-calibre-plugin

906fc3820a9b1c179fc754ae5774ebe689a61419

[ "Unlicense", "MIT" ]

3

2016-09-14T10:47:02.000Z

2018-01-09T13:32:29.000Z

setup_tools/getkucore.py

dougmassay/kindleunpack-calibre-plugin

906fc3820a9b1c179fc754ae5774ebe689a61419

[ "Unlicense", "MIT" ]

13

2015-09-28T07:05:18.000Z

2022-02-13T15:16:13.000Z

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

36.930693

95

0.627346

464

3,730

4.903017

0.353448

0.036923

0.017582

0.018462

0.186374

0.147692

0.126593

0.102857

0.053626

0

0.01951

0.244236

3,730

100

96

37.3

0.787513

0.091689

0

0.158537

0

0.124593

0.011838

0

1

0.02439

false

0

0.121951

0

0.146341

0.060976

0

null

0

null

0

1

0

2764c5afd2309a3e37c20e039e1d0182465889f2

5,696

py

Python

pymoku/_oscilloscope_data.py

liquidinstruments/pymoku

a10c2516e5953722a5f5b52aec7944bec22492c2

[ "MIT" ]

11

2016-10-11T04:37:14.000Z

2021-09-10T02:34:03.000Z

pymoku/_oscilloscope_data.py

liquidinstruments/pymoku

a10c2516e5953722a5f5b52aec7944bec22492c2

[ "MIT" ]

8

2017-06-02T18:19:49.000Z

2020-09-07T06:15:53.000Z

pymoku/_oscilloscope_data.py

liquidinstruments/pymoku

a10c2516e5953722a5f5b52aec7944bec22492c2

[ "MIT" ]

11

2018-07-12T04:18:40.000Z

2022-03-04T10:10:48.000Z

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

35.6

78

0.596208

735

5,696

4.434014

0.251701

0.012274

0.014728

0.022093

0.399202

0.345812

0.257441

0.216324

0

0.018219

0.30618

5,696

159

79

35.823899

0.806427

0.330758

0

0.204819

0

0.048613

0

0.005493

0

1

0.13253

false

0

0.024096

0.325301

0

null

0

null

0

1

0

2764e8cf2af125cde1e1dea98f00be38d0e21369

6,205

py

Python

FlightRisingColiseum/Bot_FR.py

Eternal05/Flightrising-Coliseum-Bot

8f4895ff8a2d5533fe6a6546e09361738fd54910

[ "MIT" ]

1

2021-05-17T02:52:40.000Z

FlightRisingColiseum/Bot_FR.py

Eternal05/Flightrising-Coliseum-Bot

8f4895ff8a2d5533fe6a6546e09361738fd54910

[ "MIT" ]

null

FlightRisingColiseum/Bot_FR.py

Eternal05/Flightrising-Coliseum-Bot

8f4895ff8a2d5533fe6a6546e09361738fd54910

[ "MIT" ]

null

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

34.859551

134

0.604674

833

6,205

4.480192

0.393758

0.033762

0.057878

0.040729

0.137996

0.067792

0.050911

0

0.072878

0.301209

6,205

177

135

35.056497

0.787823

0.384367

0

0.275862

0

0.009725

0

1

0.043103

false

0

0.077586

0

0.275862

0.051724

0

null

0

null

0

1

0

2764ee38e5ee492d56a5166db4a12d098e304e48

6,047

py

Python

models/layers.py

RemiDelaunay/DeepUSE

fea4220d53583fe3d4e63c870a62b04deb005eda

[ "MIT" ]

2

2021-08-19T07:40:35.000Z

2022-01-14T18:55:58.000Z

models/layers.py

RemiDelaunay/DeepUSE

fea4220d53583fe3d4e63c870a62b04deb005eda

[ "MIT" ]

null

models/layers.py

RemiDelaunay/DeepUSE

fea4220d53583fe3d4e63c870a62b04deb005eda

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable class ConvLSTMCell(nn.Module): """ Generate a convolutional LSTM cell Adapted from "RVOS: End-to-End Recurrent Network for Video Object Segmentation" """ def __init__(self, input_size, hidden_size...

38.272152

123

0.64379

803

6,047

4.541719

0.16812

0.084453

0.104195

0.102824

0.488072

0.458185

0.409652

0.381958

0.369619

0.332602

0

0.016987

0.250372

6,047

157

124

38.515924

0.787558

0.051265

0

0.346774

1

0

0.002802

0

1

0.137097

false

0

0.032258

0.024194

0.306452

0

null

0

1

0

null

0

1

2765c7c3e9e989737c9e28cfcc8a7675bc22b1e5

907

py

Python

main.py

denissearenas/face_recognition_image

63f43ae188cc12ba443d2aeff84959eba95c9049

[ "MIT" ]

null

main.py

denissearenas/face_recognition_image

63f43ae188cc12ba443d2aeff84959eba95c9049

[ "MIT" ]

null

main.py

denissearenas/face_recognition_image

63f43ae188cc12ba443d2aeff84959eba95c9049

[ "MIT" ]

null

import logging from logging.config import fileConfig import os, os.path import imageRecognition #Test Folder TestFolder = 'WorkingFolder/TestImages/' # Create the Working folders working_folders = ['logs','.metadata','WorkingFolder','./Workingfolder/OutputImages'] [os.makedirs(folder) for folder in working_folders...

24.513514

114

0.680265

100

907

6.03

0.48

0.029851

0.063018

0

0.00831

0.203969

907

36

115

25.194444

0.82687

0.059537

0

0.133255

0.0625

0

1

0

false

0

0.222222

0

0.222222

0

null

0

null

0

1

0

2768921c04ac38d6998b1d53e7d2b264cb24e683

755

py

Python

Medio 3/ex056.py

Gustavsantos/python1

5520f2d2ee591157942008fdcd6bd42eb521f1a6

[ "MIT" ]

null

Medio 3/ex056.py

Gustavsantos/python1

5520f2d2ee591157942008fdcd6bd42eb521f1a6

[ "MIT" ]

null

Medio 3/ex056.py

Gustavsantos/python1

5520f2d2ee591157942008fdcd6bd42eb521f1a6

[ "MIT" ]

null

total = 0 media = 0 hmais = 0 no = '' contm = 0 from datetime import date atual = date.today().year for p in range(1,5): print('{}° Pessoa'.format(p)) nome = str(input('Nome: ')).strip().capitalize() ns = int(input('O ano em que nasceu: ')) sexo = str(input('Sexo: ')).strip().upper() idade = atual ...

26.964286

67

0.564238

116

755

3.681034

0.508621

0.04918

0.037471

0.06089

0.145199

0

0.023551

0.268874

755

27

68

27.962963

0.748188

0

0.153846

0

0.209272

0

1

0

false

0

0.038462

0

0.038462

0.153846

0

null

0

null

0

1

0

2768edd67418ad70fbc7628b2d0db9a2e7e067b6

9,575

py

Python

modules/cdp.py

experiencedft/defisaver-sim

1d1f05078efb634286df450b125677a1685a066e

[ "MIT" ]

13

2021-02-01T11:08:21.000Z

2022-01-13T05:29:11.000Z

modules/cdp.py

experiencedft/defisaver-sim

1d1f05078efb634286df450b125677a1685a066e

[ "MIT" ]

null

modules/cdp.py

experiencedft/defisaver-sim

1d1f05078efb634286df450b125677a1685a066e

[ "MIT" ]

5

2021-01-27T22:01:55.000Z

2022-02-20T22:14:16.000Z

''' The CDP module contains all the tools required to simulate a collateralized debt position, such as increasing or decreasing its leverage (boost and repay), closing the vault to calculate its lifetime profit, adding collateral or drawing more debt. The position is represented as an object whose methods provide a...

43.522727

129

0.593211

1,195

9,575

4.680335

0.184937

0.024316

0.019667

0.027534

0.328983

0.302879

0.272126

0.264616

0.211336

0.188807

0

0.018687

0.334935

9,575

220

130

43.522727

0.859611

0.497963

0

0.428571

0

0.016893

0

0.004545

0.071429

1

0.107143

false

0

0.011905

0

0.22619

0

null

0

null

0

1

0

276b88f7bc15b02ea6b733a96f259241381fe73b

5,683

py

Python

clustertools/test/test_experiment.py

jm-begon/clustertools

264198d0ffbd60b883b7b6a2af79341425c7729b

[ "BSD-3-Clause" ]

7

2017-05-31T15:28:28.000Z

2021-03-25T12:36:48.000Z

clustertools/test/test_experiment.py

jm-begon/clustertools

264198d0ffbd60b883b7b6a2af79341425c7729b

[ "BSD-3-Clause" ]

42

2017-06-09T07:35:50.000Z

2019-08-29T15:23:29.000Z

clustertools/test/test_experiment.py

jm-begon/clustertools

264198d0ffbd60b883b7b6a2af79341425c7729b

[ "BSD-3-Clause" ]

3

2017-05-29T13:39:18.000Z

2019-06-24T09:43:01.000Z

# -*- coding: utf-8 -*- from functools import partial from nose.tools import assert_equal, assert_in, assert_less, assert_raises, \ with_setup, assert_true from nose.tools import assert_false from clustertools import ParameterSet, Result, Experiment from clustertools.state import RunningState, CompletedState, Abo...

36.664516

84

0.688193

689

5,683

5.429608

0.216255

0.061748

0.052392

0.04865

0.418872

0.336006

0.285485

0.181502

0.160118

0

0.024005

0.16435

5,683

154

85

36.902597

0.76374

0.118599

0

0.194444

0

0.019856

0

0.37037

1

0.074074

false

0

0.064815

0

0.138889

0.009259

0

null

0

null

0

1

0

276c363a6f57e3c85d7f037af185d706c5abdf10

1,657

py

Python

ed.py

zzx288/words

477516211cc43701ec4592a686f0bc06cbb9c141

[ "MIT" ]

null

ed.py

zzx288/words

477516211cc43701ec4592a686f0bc06cbb9c141

[ "MIT" ]

null

ed.py

zzx288/words

477516211cc43701ec4592a686f0bc06cbb9c141

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import os import codecs def find_words(words): split_words={} count_all = 0 unused_words = u" \t\r\n，。：；、“‘”【】『』|=+-——（）*&……%￥#@！~·《》？/?<>,.;:'\"[]{}_)(^$!`" unused_english = u"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890" for i in u...

29.589286

92

0.556427

241

1,657

3.73029

0.290456

0.066741

0.038932

0.044494

0.322581

0.278087

0.231368

0.077864

0

0.029506

0.243211

1,657

55

93

30.127273

0.677831

0.025951

0

0.090909

0

0.068182

0.12

0.074667

0

1

0.045455

false

0

0.045455

0

0.136364

0.068182

0

null

0

null

0

1

0

276d667a87fa4dfdeb86a4993f51124a0783875c

2,971

py

Python

acestream/ACEStream/Plugin/EngineWx.py

GrandPaRPi/p2ptv-pi

6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3

[ "MIT" ]

null

acestream/ACEStream/Plugin/EngineWx.py

GrandPaRPi/p2ptv-pi

6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3

[ "MIT" ]

null

acestream/ACEStream/Plugin/EngineWx.py

GrandPaRPi/p2ptv-pi

6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3

[ "MIT" ]

2

2018-04-17T17:34:39.000Z

2020-07-26T03:43:33.000Z

#Embedded file name: ACEStream\Plugin\EngineWx.pyo import os import sys from traceback import print_exc try: import wxversion wxversion.select('2.8') except: pass try: import wx except: print 'wx is not installed' os._exit(1) import ACEStream from ACEStream.GlobalConfig import globalConfig fro...

31.946237

113

0.672164

366

2,971

5.284153

0.336066

0.037229

0.068252

0.055843

0.11789

0.074457

0.034126

0

0.010999

0.234938

2,971

92

114

32.293478

0.839859

0.016493

0

0.1375

0

0.058542

0

null

0.0125

0.125

null

0.0625

0

null

0

null

0

1

0

1

276d90a94566353b66f7d294a0618d781bcf1b9c

899

py

Python

tcp_finite_state/client.py

aakashhemadri/python

16955810dd1ea491c9ff9c99ee02bd463ba97f0a

[ "MIT" ]

2

2021-01-20T14:08:26.000Z

2021-10-20T07:56:46.000Z

tcp_finite_state/client.py

aakashhemadri/python

16955810dd1ea491c9ff9c99ee02bd463ba97f0a

[ "MIT" ]

null

tcp_finite_state/client.py

aakashhemadri/python

16955810dd1ea491c9ff9c99ee02bd463ba97f0a

[ "MIT" ]

null

from tcp_statemachine import TCPStateMachine, Data import socket class Client: """ Client class """ def __init__(self, statemachine, data): self.ME = 'client' self.HOST = '127.0.0.1' self.PORT = 22085 self.ADDRESS = (self.HOST, self.PORT) self.client_socket = socket.socket() def run(sel...

22.475

69

0.697442

112

899

5.366071

0.348214

0.116473

0.186356

0.139767

0.129784

0

0.021948

0.189099

899

39

70

23.051282

0.802469

0.013348

0

0.076923

0

0.026286

0

1

0.153846

false

0

0.076923

0.038462

0.307692

0

null

0

1

0

null

0

1

276e00dcc9820a61c4d4ebff8a3b8b4d2a199a5f

467

py

Python

HackerRank/MinimumSwaps2.py

kokuraxc/play-ground

48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd

[ "MIT" ]

null

HackerRank/MinimumSwaps2.py

kokuraxc/play-ground

48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd

[ "MIT" ]

null

HackerRank/MinimumSwaps2.py

kokuraxc/play-ground

48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd

[ "MIT" ]

null

# https://www.hackerrank.com/challenges/minimum-swaps-2 # Complete the minimumSwaps function below. def minimumSwaps(arr): steps = 0 # for i, a in enumerate(arr): for i in range(len(arr)): while arr[i] != i+1: #arr = [a if x == i+1 else x for x in arr] #print(arr) ...

25.944444

55

0.51606

67

467

3.597015

0.492537

0.049793

0.074689

0.099585

0.141079

0

0.023411

0.359743

467

17

56

27.470588

0.782609

0.372591

0

1

0.1

false

0

0.2

0

null

0

null

0

1

0

277311deb8c817997aeecabf48fe1ce321691cbf

3,081

py

Python

source/conf.py

Kinovea/kinovea-docs

a2c4c9561bd4f8cc663efcaaed017c9c018b6b20

[ "CC0-1.0" ]

4

2020-11-17T18:09:42.000Z

2021-12-29T07:34:29.000Z

source/conf.py

Kinovea/kinovea-docs

a2c4c9561bd4f8cc663efcaaed017c9c018b6b20

[ "CC0-1.0" ]

4

2021-07-12T09:41:06.000Z

2021-11-01T19:22:05.000Z

source/conf.py

Kinovea/kinovea-docs

a2c4c9561bd4f8cc663efcaaed017c9c018b6b20

[ "CC0-1.0" ]

1

2021-07-12T05:17:47.000Z

# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If ex...

30.205882

91

0.683544

402

3,081

5.09204

0.457711

0.00977

0.027357

0.018564

0.020518

0

0.006823

0.143784

3,081

101

92

30.504951

0.769143

0.605972

0

0.344123

0.042589

0

0.009901

0

1

0

false

0

0.025641

0

0.025641

0

null

0

null

0

1

0

277376eb0677ba7d0fb6770b5320ed63bd24de63

51

py

Python

0-hello-world/hello.py

zeyuri/computer-science-and-python-intro

178ff6647586fb2be716bb3c4796b03310731583

[ "MIT" ]

null

0-hello-world/hello.py

zeyuri/computer-science-and-python-intro

178ff6647586fb2be716bb3c4796b03310731583

[ "MIT" ]

null

0-hello-world/hello.py

zeyuri/computer-science-and-python-intro

178ff6647586fb2be716bb3c4796b03310731583

[ "MIT" ]

null

msg = "Hello World, i'm coming for you" print(msg)

17

39

0.686275

10

51

3.5

0.9

0

0.176471

51

2

40

25.5

0.833333

0

0.607843

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

4

2775121ab7502b6919cf78437931035cd8b7a2d9

158

py

Python

src/onegov/user/auth/clients/__init__.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

src/onegov/user/auth/clients/__init__.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

src/onegov/user/auth/clients/__init__.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

from onegov.user.auth.clients.kerberos import KerberosClient from onegov.user.auth.clients.ldap import LDAPClient __all__ = ('KerberosClient', 'LDAPClient')

31.6

60

0.816456

19

158

6.578947

0.578947

0.16

0.224

0.288

0.4

0

0.082278

158

4

61

39.5

0.862069

0

0.151899

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

27756bad277e04032903ed08ddd795ce38d122b8

746

py

Python

img_utils/files/file.py

DewMaple/image_utils

a0ca6a1b088389f5a70df60623e629634d57065a

[ "MIT" ]

null

img_utils/files/file.py

DewMaple/image_utils

a0ca6a1b088389f5a70df60623e629634d57065a

[ "MIT" ]

null

img_utils/files/file.py

DewMaple/image_utils

a0ca6a1b088389f5a70df60623e629634d57065a

[ "MIT" ]

null

import glob import os def images_in_dir(images_dir, file_types=('*.png', '*.jpg', '*.jpeg', '*.gif')): """ :param images_dir: directory that contains target images :param file_types: image files extend :return: full image file path list """ file_names = [] for ext in file_types: fi...

23.3125

80

0.647453

107

746

4.345794

0.401869

0.12043

0.090323

0.077419

0.094624

0

0.003454

0.223861

746

31

81

24.064516

0.799655

0.352547

0

0.049881

0

1

0.25

false

0

0.166667

0

0.666667

0

null

0

null

0

1

0

1

277599814e255a220a50444d8861eabc112abdd1

4,931

py

Python

financial_fundamentals/xbrl.py

Mahesh-Salunke/financial_fundamentals

421e7550e2c4b2cc9cc0ee8cb15ce2ad0d89234f

[ "Apache-2.0" ]

122

2015-01-28T17:57:08.000Z

2022-02-12T12:24:55.000Z

financial_fundamentals/xbrl.py

Mahesh-Salunke/financial_fundamentals

421e7550e2c4b2cc9cc0ee8cb15ce2ad0d89234f

[ "Apache-2.0" ]

1

2016-11-07T17:02:02.000Z

2016-11-09T20:51:50.000Z

financial_fundamentals/xbrl.py

Mahesh-Salunke/financial_fundamentals

421e7550e2c4b2cc9cc0ee8cb15ce2ad0d89234f

[ "Apache-2.0" ]

49

2015-01-01T03:12:27.000Z

2021-07-06T10:19:31.000Z

''' Created on Oct 8, 2013 @author: akittredge ''' import dateutil.parser import xmltodict from financial_fundamentals.exceptions import ValueNotInFilingDocument class XBRLMetricParams(object): '''Bundle the parameters sufficient to extract a metric from an xbrl document. ''' def __init__(self, poss...

34.482517

88

0.602515

549

4,931

5.087432

0.216758

0.027569

0.031507

0.042965

0.155747

0.110634

0.065879

0.042965

0

0.001761

0.309065

4,931

143

89

34.482517

0.818022

0.061651

0

0.222222

0

0.036779

0

1

0.166667

false

0.009259

0.037037

0.046296

0.407407

0

null

0

null

0

1

0

277624309012d3684e6506d164e645ba545c1547

6,235

py

Python

geospacelab/datahub/sources/wdc/dst/downloader.py

JouleCai/GeoSpaceLab

6cc498d3c32501e946931de596a840c73e83edb3

[ "BSD-3-Clause" ]

19

2021-08-07T08:49:22.000Z

2022-03-02T18:26:30.000Z

geospacelab/datahub/sources/wdc/dst/downloader.py

JouleCai/GeoSpaceLab

6cc498d3c32501e946931de596a840c73e83edb3

[ "BSD-3-Clause" ]

4

2021-11-09T05:53:42.000Z

2022-03-25T11:49:37.000Z

geospacelab/datahub/sources/wdc/dst/downloader.py

JouleCai/GeoSpaceLab

6cc498d3c32501e946931de596a840c73e83edb3

[ "BSD-3-Clause" ]

3

2021-11-07T11:41:20.000Z

2022-02-14T13:43:11.000Z

# Licensed under the BSD 3-Clause License # Copyright (C) 2021 GeospaceLab (geospacelab) # Author: Lei Cai, Space Physics and Astronomy, University of Oulu __author__ = "Lei Cai" __copyright__ = "Copyright 2021, GeospaceLab" __license__ = "BSD-3-Clause License" __email__ = "lei.cai@oulu.fi" __docformat__ = "reStructur...

38.018293

277

0.577225

845

6,235

4.062722

0.276923

0.018643

0.016312

0.026216

0.284882

0.170987

0.168948

0.154967

0.152054

0.124672

0

0.038935

0.27089

6,235

164

277

38.018293

0.716234

0.152847

0

0.037037

0

0.009259

0.155087

0.007213

0

1

0.027778

false

0

0.111111

0

0.157407

0.009259

0

null

0

null

0

1

0

277858124203940aedb7475ae3b0715e859459a7

914

py

Python

services/login_service.py

EderBevacqua/OPE_ADS_3C

af6e2a1757c82080dc5f6c1f7759f29f408341cc

[ "Apache-2.0" ]

null

services/login_service.py

EderBevacqua/OPE_ADS_3C

af6e2a1757c82080dc5f6c1f7759f29f408341cc

[ "Apache-2.0" ]

6

2020-06-14T21:50:25.000Z

2020-06-15T19:39:01.000Z

services/login_service.py

EderBevacqua/OPE_ADS_4C

af6e2a1757c82080dc5f6c1f7759f29f408341cc

[ "Apache-2.0" ]

null

from infra.usuario_dao import \ listar as dao_listar, \ consultar as dao_consultar, \ cadastrar as dao_cadastrar, \ alterar as dao_alterar, \ remover as dao_remover,\ loadUserEmail as dao_loadUserEmail,\ validarLogin as dao_validarLogin,\ validaMatriculaUsuario as dao_validaMatriculaUsua...

30.466667

58

0.789934

95

914

7.389474

0.273684

0.078348

0.039886

0

0.150985

914

30

59

30.466667

0.904639

0

1

0.25

false

0

0.041667

0.25

0.541667

0

null

0

null

0

1

0

1

0

3

27797d81ccdfc4597762321be84ef3aaa9517905

421

py

Python

server/apps/org/permissions.py

iotile/iotile_cloud

9dc65ac86d3a730bba42108ed7d9bbb963d22ba6

[ "MIT" ]

null

server/apps/org/permissions.py

iotile/iotile_cloud

9dc65ac86d3a730bba42108ed7d9bbb963d22ba6

[ "MIT" ]

null

server/apps/org/permissions.py

iotile/iotile_cloud

9dc65ac86d3a730bba42108ed7d9bbb963d22ba6

[ "MIT" ]

null

from rest_framework import permissions class IsMemberOnly(permissions.BasePermission): """ Custom permission to only allow owners of an object to access (read/write) """ def has_permission(self, request, view): return request.user.is_authenticated def has_object_permission(self, request,...

32.384615

88

0.736342

57

421

5.315789

0.578947

0.108911

0.138614

0.165017

0

0.185273

421

13

88

32.384615

0.883382

0.175772

0

1

0.333333

false

0

0.166667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

277b82514a7515e164e8b41c060b3213bef8d2d0

473

py

Python

multi_domain/utils.py

newbieyd/multi-domain_NER

78443f79cebf7c2fe1058bc6ba2dc793d0907574

[ "Apache-2.0" ]

3

2020-10-26T02:23:57.000Z

2021-01-28T09:29:35.000Z

multi_domain/utils.py

newbieyd/multi-domain_NER

78443f79cebf7c2fe1058bc6ba2dc793d0907574

[ "Apache-2.0" ]

null

multi_domain/utils.py

newbieyd/multi-domain_NER

78443f79cebf7c2fe1058bc6ba2dc793d0907574

[ "Apache-2.0" ]

1

2021-01-28T09:29:39.000Z

import random import torch import numpy as np # 设置随机种子，一旦固定种子，后面依次生成的随机数其实都是固定的 def set_seed(seed): random.seed(seed) np.random.seed(seed) torch.manual_seed(seed) # 计算评价指标：准确率，召回率，F1值 def calculate(data): p = -1 r = -1 f1 = -1 if data[0] > 0: p = data[2] / data[0]...

19.708333

43

0.5074

77

473

3.090909

0.363636

0.134454

0.117647

0

0.061688

0.348837

473

23

44

20.565217

0.711039

0.105708

0

1

0.111111

false

0

0.166667

0

0.333333

0

null

0

null

0

1

0

277c94d5ec87dc5540702d806c2c486ab6812053

769

py

Python

server/app/budget/migrations/0004_auto_20210521_1347.py

catvitalio/personal-budget

b4470115ebbfd185a8a781a2024787cbfe822639

[ "MIT" ]

null

server/app/budget/migrations/0004_auto_20210521_1347.py

catvitalio/personal-budget

b4470115ebbfd185a8a781a2024787cbfe822639

[ "MIT" ]

null

server/app/budget/migrations/0004_auto_20210521_1347.py

catvitalio/personal-budget

b4470115ebbfd185a8a781a2024787cbfe822639

[ "MIT" ]

null

# Generated by Django 3.1.2 on 2021-05-21 06:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('budget', '0003_auto_20210521_1252'), ] operations = [ migrations.AlterField( model_name='expense', name='tags', ...

26.517241

78

0.579974

74

769

5.945946

0.554054

0.136364

0.170455

0.197727

0.347727

0

0.057301

0.296489

769

28

79

27.464286

0.756007

0.058518

0

0.409091

1

0

0.15651

0.031856

0

1

0

false

0

0.045455

0

0.181818

0

null

0

1

0

1

0

null

0

2

277c9b03dc3a5dfcdb9e0188ddbb3e71c27016ed

146

py

Python

recommendations_system/io_/__init__.py

mmikolajczak/recommendation_system_hetrec2011_movielens

3ae13e62605ffbf5517bc2079e086a400de48748

[ "MIT" ]

4

2019-12-04T08:42:21.000Z

2020-06-07T07:22:08.000Z

recommendations_system/io_/__init__.py

mmikolajczak/recommendation_system_hetrec2011_movielens

3ae13e62605ffbf5517bc2079e086a400de48748

[ "MIT" ]

null

recommendations_system/io_/__init__.py

mmikolajczak/recommendation_system_hetrec2011_movielens

3ae13e62605ffbf5517bc2079e086a400de48748

[ "MIT" ]

null

from ._load_hetrec import load_hetrec_to_df from ._df2ffm import DF2FFMConverter from ._utils import load_ffm, save_ffm, load_pickle, save_pickle

36.5

64

0.856164

23

146

4.956522

0.521739

0.175439

0

0.015267

0.10274

146

3

65

48.666667

0.854962

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

277cde189ead3857304afdc2356fa310f621847b

7,689

py

Python

Stack_Exchange/py2_text.py

sadahanu/DataScience_SideProject

f476fe939d660099e3209b91bbd5cb883b37b2d3

[ "MIT" ]

null

Stack_Exchange/py2_text.py

sadahanu/DataScience_SideProject

f476fe939d660099e3209b91bbd5cb883b37b2d3

[ "MIT" ]

null

Stack_Exchange/py2_text.py

sadahanu/DataScience_SideProject

f476fe939d660099e3209b91bbd5cb883b37b2d3

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Dec 13 23:10:40 2016 @author: zhouyu """ #%% import pandas as pd import numpy as np import os import re import nltk from nltk.corpus import stopwords from bs4 import BeautifulSoup os.chdir('/Users/zhouyu/Documents/Zhou_Yu/DS/kaggle_challenge/text processing') #%% step1: impor...

38.253731

110

0.694629

1,113

7,689

4.59389

0.262354

0.032271

0.005867

0.008606

0.263446

0.216116

0.161353

0.149619

0.131821

0.117348

0

0.016855

0.182078

7,689

201

111

38.253731

0.796152

0.158668

0

0.130137

0

0.091405

0.013149

0

null

0

0.150685

null

0.075342

0

null

0

null

0

1

0

1

277d5ee604563ea1b0d6b261faa48f33c379cba6

1,210

py

Python

tests/test_types.py

apparentlymart/python-stl

befec2266b4a6b201ecc3c4c42007a5c24e90566

[ "MIT" ]

9

2015-01-25T19:46:31.000Z

2018-07-04T03:32:46.000Z

tests/test_types.py

apparentlymart/python-stl

befec2266b4a6b201ecc3c4c42007a5c24e90566

[ "MIT" ]

10

2015-03-10T19:04:34.000Z

2018-11-03T04:46:57.000Z

tests/test_types.py

apparentlymart/python-stl

befec2266b4a6b201ecc3c4c42007a5c24e90566

[ "MIT" ]

15

2015-03-07T21:46:44.000Z

2021-12-02T20:03:21.000Z

import unittest from stl.types import * class TestTypes(unittest.TestCase): def test_facet_geometry(self): facet = Facet( (1, 0, 0), [ (0, 0, 0), (1, 0, 0), (0, 1, 0), ], ) self.assertEqual(facet.a, 1.0) ...

23.72549

61

0.333884

106

1,210

3.764151

0.245283

0.095238

0.097744

0.070175

0.448622

0.122807

0

0.153846

0.54876

1,210

50

62

24.2

0.576923

0

0.44186

0

0.003306

0

0.139535

1

0.046512

false

0

0.046512

0

0.116279

0

null

0

1

0

null

0

1

277d94d70e278173e780c161c144680891ccd6df

116

py

Python

server/domain/datasets/exceptions.py

multi-coop/catalogage-donnees

1d70401ff6c7b01ec051460a253cb105adf65911

[ "MIT" ]

null

server/domain/datasets/exceptions.py

multi-coop/catalogage-donnees

1d70401ff6c7b01ec051460a253cb105adf65911

[ "MIT" ]

14

2022-01-25T17:56:52.000Z

2022-01-28T17:47:59.000Z

server/domain/datasets/exceptions.py

multi-coop/catalogage-donnees

1d70401ff6c7b01ec051460a253cb105adf65911

[ "MIT" ]

null

from ..common.exceptions import DoesNotExist class DatasetDoesNotExist(DoesNotExist): entity_name = "Dataset"

19.333333

44

0.793103

11

116

8.272727

0.909091

0

0.12931

116

5

45

23.2

0.90099

0

0.060345

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

277dc18fc44eab6c4ec0aeec52c4030e30b5d869

967

py

Python

pysimplegui/DemoPrograms/Demo_Design_Pattern_Multiple_Windows2.py

konsan1101/py-etc

bcca13119b0d2453866988404fd1c4976f55d4d5

[ "MIT" ]

null

pysimplegui/DemoPrograms/Demo_Design_Pattern_Multiple_Windows2.py

konsan1101/py-etc

bcca13119b0d2453866988404fd1c4976f55d4d5

[ "MIT" ]

2

2020-06-06T00:30:56.000Z

2021-06-10T22:30:37.000Z

pysimplegui/DemoPrograms/Demo_Design_Pattern_Multiple_Windows2.py

konsan1101/py-etc

bcca13119b0d2453866988404fd1c4976f55d4d5

[ "MIT" ]

null

import PySimpleGUI as sg """ PySimpleGUI The Complete Course Lesson 7 Multiple Independent Windows """ # Design pattern 2 - First window remains active layout = [[ sg.Text('Window 1'),], [sg.Input()], [sg.Text('', size=(20,1), key='-OUTPUT-')], [sg.Button('Launch 2'), sg.Butt...

24.794872

53

0.584281

119

967

4.705882

0.445378

0.116071

0.042857

0.046429

0

0.059659

0.271975

967

38

54

25.447368

0.735795

0.04757

0

0.086957

0

0.096386

0

1

0

false

0

0.043478

0

0.043478

0

null

0

null

0

1

0

2780f36861b56fbdc559cec62df68437bb7c262c

6,277

py

Python

pexpo.py

joeyspacerocks/pexpo

1b668bd3d8b399570f938d0b5e9e9545db2ad059

[ "Apache-2.0" ]

1

2016-05-07T12:32:36.000Z

pexpo.py

joeyspacerocks/pexpo

1b668bd3d8b399570f938d0b5e9e9545db2ad059

[ "Apache-2.0" ]

33

2020-07-02T10:24:56.000Z

2020-08-03T17:26:23.000Z

pexpo.py

joeyspacerocks/pexpo

1b668bd3d8b399570f938d0b5e9e9545db2ad059

[ "Apache-2.0" ]

null

#!/usr/bin/python import os import sys import StringIO import argparse import json import zipfile from PIL import Image, ImageColor import xml.etree.cElementTree as ET # TODO: compose multiple layers def compose_image(indexes, archive): file = 'layer' + str(indexes[0]) + '.png' return Image.open(StringIO.StringIO(...

25.51626

124

0.608252

960

6,277

3.923958

0.208333

0.013804

0.006371

0.021503

0.127688

0.103265

0.077781

0.059198

0

0.009029

0.20599

6,277

245

125

25.620408

0.74679

0.061813

0

0.12069

0

0.117767

0

0.004082

0

null

0

0.045977

null

0.011494

0

null

0

null

0

1

0

1

27811ac83801b7707ced28bf3be304104b0b4fe0

212

py

Python

marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/onsets/admin.py

jaouahbi/VampPlugins

27c2248d1c717417fe4d448cdfb4cb882a8a336a

[ "Apache-2.0" ]

null

marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/onsets/admin.py

jaouahbi/VampPlugins

27c2248d1c717417fe4d448cdfb4cb882a8a336a

[ "Apache-2.0" ]

null

marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/onsets/admin.py

jaouahbi/VampPlugins

27c2248d1c717417fe4d448cdfb4cb882a8a336a

[ "Apache-2.0" ]

null

from django.contrib import admin from calls.onsets.models import Recording class RecordingAdmin(admin.ModelAdmin): list_display = ('audio', 'image', 'length') admin.site.register(Recording, RecordingAdmin)

26.5

47

0.783019

25

212

6.6

0.76

0

0.108491

212

7

48

30.285714

0.873016

0

0.075472

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

3

27822976fe232c6827409ee540cdeeef7ab6474f

505

py

Python

secrets_sample.py

barbudor/upy-door-sensor

ce34226203c0f08b7b10dcdcb6f6f4f2f8689754

[ "MIT" ]

5

2020-04-12T17:10:23.000Z

2021-09-24T19:56:01.000Z

secrets_sample.py

barbudor/upy-door-sensor

ce34226203c0f08b7b10dcdcb6f6f4f2f8689754

[ "MIT" ]

null

secrets_sample.py

barbudor/upy-door-sensor

ce34226203c0f08b7b10dcdcb6f6f4f2f8689754

[ "MIT" ]

null

""" Your secrets and configurations items you must rename this file secrets.py and customize as needed """ # Wifi settings SSID = "mywifi" PASSWD = "thesecretpassword" # Network - comment to use DHCP (but slighly slower) IPADDR = "192.168.0.100" MASK = "255.255.255.0" GW = "192.168.0.1" DNS = "1.1.1.1" # MQTT s...

25.25

64

0.683168

79

505

4.303797

0.696203

0.052941

0.061765

0

0.105634

0.156436

505

19

65

26.578947

0.692488

0.388119

0

0.506897

0

1

0

false

0.181818

0

null

0

null

0

1

0

1

27824e9b0a8bb25e5664e1e7337a726628d28d71

2,000

py

Python

src/d007/index.py

Yangfan2016/learn-python

84a375cda9d51349ae0a0faf1dc6444ac83ed948

[ "MIT" ]

null

src/d007/index.py

Yangfan2016/learn-python

84a375cda9d51349ae0a0faf1dc6444ac83ed948

[ "MIT" ]

null

src/d007/index.py

Yangfan2016/learn-python

84a375cda9d51349ae0a0faf1dc6444ac83ed948

[ "MIT" ]

null

# 练习1：在屏幕上显示跑马灯文字 from random import randint import os import time def marquee(): content = "我很开心。。。" while True: os.system("clear") print(content) time.sleep(.2) content = content[1:]+content[0] # marquee() # 练习2：设计一个函数产生指定长度的验证码，验证码由大小写字母和数字构成 def genrentae_code(l=4):...

15.151515

74

0.515

290

2,000

3.496552

0.341379

0.034517

0.023669

0.032544

0.023669

0

0.093939

0.34

2,000

131

75

15.267176

0.674242

0.184

0

0.029412

0

0.047708

0.038414

0

1

0.102941

false

0

0.044118

0.014706

0.264706

0.044118

0

null

0

null

0

1

0

27830a56e67664f45133b9939b59406608cd3555

147

py

Python

maintenance_mode/utils.py

fallen/django-maintenance-mode

826b18ca3c768ab5dbd3f665886106b0eb702de9

[ "MIT" ]

282

2015-06-08T22:57:44.000Z

2022-03-28T17:44:40.000Z

maintenance_mode/utils.py

fallen/django-maintenance-mode

826b18ca3c768ab5dbd3f665886106b0eb702de9

[ "MIT" ]

82

2015-08-24T09:27:07.000Z

2022-02-08T20:12:48.000Z

maintenance_mode/utils.py

fallen/django-maintenance-mode

826b18ca3c768ab5dbd3f665886106b0eb702de9

[ "MIT" ]

59

2015-06-16T13:06:10.000Z

2022-02-08T20:10:20.000Z

# -*- coding: utf-8 -*- def get_client_ip_address(request): """ Get the client IP Address. """ return request.META['REMOTE_ADDR']

18.375

38

0.612245

19

147

4.526316

0.736842

0.186047

0.348837

0

0.008772

0.22449

147

7

39

21

0.745614

0.333333

0

0.134146

0

1

0.5

false

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

27845720229d1cbede001bd8fe6879c12c7dc607

2,117

py

Python

dex/command/commands/DexUnreachable.py

TomWeaver18/dexter

d89b66ca6a0d1ba29a4c32f152773a34ce2881e8

[ "MIT" ]

null

dex/command/commands/DexUnreachable.py

TomWeaver18/dexter

d89b66ca6a0d1ba29a4c32f152773a34ce2881e8

[ "MIT" ]

null

dex/command/commands/DexUnreachable.py

TomWeaver18/dexter

d89b66ca6a0d1ba29a4c32f152773a34ce2881e8

[ "MIT" ]

null

# DExTer : Debugging Experience Tester # ~~~~~~ ~ ~~ ~ ~~ # # Copyright (c) 2019 by SN Systems Ltd., Sony Interactive Entertainment Inc. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # ...

38.490909

79

0.691072

280

2,117

5.15

0.596429

0.061026

0.018031

0

0.002494

0.242324

2,117

54

80

39.203704

0.896509

0.665564

0

0.043544

0

1

0.176471

false

0.058824

0.117647

0.058824

0.470588

0

null

0

null

0

1

0

1

2786bc277b70a50e0d89afd7f11a15c26b25b2fa

1,825

py

Python

tests/test_platform.py

rennerocha/bottery

a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4

[ "MIT" ]

null

tests/test_platform.py

rennerocha/bottery

a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4

[ "MIT" ]

null

tests/test_platform.py

rennerocha/bottery

a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4

[ "MIT" ]

null

import inspect import pytest from bottery.platform import BaseEngine def test_baseengine_platform_name_not_implemented(): """Check if attributes from the public API raise NotImplementedError""" engine = BaseEngine() with pytest.raises(NotImplementedError): getattr(engine, 'platform') @pytest.m...

27.651515

88

0.706301

214

1,825

5.827103

0.313084

0.028067

0.054531

0.052927

0.439455

0.378508

0.311147

0

0.18411

1,825

65

89

28.076923

0.837475

0.038904

0

0.414634

0

0.072819

0

0.073171

1

0.097561

false

0

0.073171

0.02439

0.219512

0

null

0

null

0

1

0

27871567eec68506ebdf03b82d43a00ac9173647

26,071

py

Python

sarkas/potentials/core.py

lucianogsilvestri/sarkas

f4ab00014d09976561fbd4349b9d0610e47a61e1

[ "MIT" ]

null

sarkas/potentials/core.py

lucianogsilvestri/sarkas

f4ab00014d09976561fbd4349b9d0610e47a61e1

[ "MIT" ]

null

sarkas/potentials/core.py

lucianogsilvestri/sarkas

f4ab00014d09976561fbd4349b9d0610e47a61e1

[ "MIT" ]

null

""" Module handling the potential class. """ from copy import deepcopy from fmm3dpy import hfmm3d, lfmm3d from numpy import array, ndarray, pi, sqrt, tanh from warnings import warn from ..utilities.exceptions import AlgorithmWarning from ..utilities.fdints import fdm1h, invfd1h from .force_pm import force_optimized_gr...

36.260083

121

0.603199

3,204

26,071

4.720974

0.150125

0.035965

0.018842

0.022213

0.372736

0.290824

0.255322

0.221671

0.193045

0.16032

0

0.018169

0.296997

26,071

718

122

36.310585

0.807126

0.21825

0

0.21466

0

0.013089

0.108622

0.020964

0

1

0.049738

false

0.010471

0.044503

0

0.191099

0.081152

0

null

0

null

0

1

0

27877c156aab625b9201be4f2bcf3caf8ade21c6

328

py

Python

forest_lite/server/routers/api.py

uk-gov-mirror/MetOffice.forest-lite

9406b53f7e6a9651eb675e0ac2e5945421b25557

[ "BSD-3-Clause" ]

6

2020-08-05T16:12:57.000Z

2022-01-06T01:34:19.000Z

forest_lite/server/routers/api.py

uk-gov-mirror/MetOffice.forest-lite

9406b53f7e6a9651eb675e0ac2e5945421b25557

[ "BSD-3-Clause" ]

49

2020-08-14T13:58:32.000Z

2021-06-29T11:42:32.000Z

forest_lite/server/routers/api.py

uk-gov-mirror/MetOffice.forest-lite

9406b53f7e6a9651eb675e0ac2e5945421b25557

[ "BSD-3-Clause" ]

2

2020-12-03T09:24:13.000Z

2021-04-11T06:10:36.000Z

from fastapi import APIRouter router = APIRouter() @router.get("/api") async def api(): """Discoverable API by hitting root endpoint""" return { "links": { "datasets": "/datasets", "natural_earth_feature": "/natural_earth_feature", "viewport": "/viewport" ...

19.294118

62

0.564024

30

328

6.033333

0.7

0.165746

0.209945

0

0.295732

328

16

63

20.5

0.78355

0

0.30605

0.153025

0

1

0

false

0

0.090909

0

0.181818

0

null

0

1

0

null

0

1

278849dea2ba5567753d1997063d53e6a66da898

593

py

Python

tests/lupin/validators/test_match.py

Clustaar/lupin

9ef73642d84a99adb80abf5a922a9422ddae9254

[ "MIT" ]

22

2017-10-18T08:27:20.000Z

2022-03-25T18:53:43.000Z

tests/lupin/validators/test_match.py

Clustaar/lupin

9ef73642d84a99adb80abf5a922a9422ddae9254

[ "MIT" ]

5

2019-09-16T15:31:55.000Z

2022-02-10T08:29:14.000Z

tests/lupin/validators/test_match.py

Clustaar/lupin

9ef73642d84a99adb80abf5a922a9422ddae9254

[ "MIT" ]

null

import re import pytest from lupin.errors import InvalidMatch from lupin.validators import Match @pytest.fixture def validator(): regexp = re.compile("hello") return Match(regexp) class TestCall(object): def test_raise_error_if_does_not_match(self, validator): with pytest.raises(InvalidMatch) ...

22.807692

64

0.699831

75

593

5.306667

0.493333

0.052764

0.060302

0.085427

0.276382

0

0.204047

593

25

65

23.72

0.84322

0

0.117647

0

0.021922

0

1

0.235294

false

0

0.235294

0

0.588235

0

null

0

null

0

1

0

1

2788acf8b816fa004267a5988eb11b0290795f1e

289

py

Python

scripts/face_wall.py

Meeshbhoombah/burnt

c10113e7904c5d13c0feedc337681fb41f1006a7

[ "MIT" ]

null

scripts/face_wall.py

Meeshbhoombah/burnt

c10113e7904c5d13c0feedc337681fb41f1006a7

[ "MIT" ]

null

scripts/face_wall.py

Meeshbhoombah/burnt

c10113e7904c5d13c0feedc337681fb41f1006a7

[ "MIT" ]

null

#!/usr/bin/env python spacing = 0.1 # m lines = [] for c in range(0, 8): rs = [range(11), reversed(range(11))][c % 2] for r in rs: lines.append(' {"point": [%.2f, %.2f, %.2f]}' % (c*spacing, 0, (r)*spacing)) print '[\n' + ',\n'.join(lines) + '\n]'

24.083333

56

0.460208

44

289

3.022727

0.568182

0.120301

0

0.0625

0.280277

289

11

57

26.272727

0.576923

0.076125

0

0.150943

0

null

0

null

0.125

0

null

0

null

0

1

0

1

27893fac576198dea3db960f02abcae0e0707306

1,237

py

Python

201220/Q8958.py

JongGuk/BOJ

dd447d9f65481de19a3c0b4f8bb8b5f3d6277c15

[ "MIT" ]

null

201220/Q8958.py

JongGuk/BOJ

dd447d9f65481de19a3c0b4f8bb8b5f3d6277c15

[ "MIT" ]

null

201220/Q8958.py

JongGuk/BOJ

dd447d9f65481de19a3c0b4f8bb8b5f3d6277c15

[ "MIT" ]

null

'''There is an objective test result such as “OOXXOXXOOO”. An ‘O’ means a correct answer of a problem and an ‘X’ means a wrong answer. The score of each problem of this test is calculated by itself and its just previous consecutive ‘O’s only when the answer is correct. For example, the score of the 10th problem is 3 t...

49.48

114

0.720291

235

1,237

3.765957

0.395745

0.063277

0.045198

0.031638

0

0.02145

0.208569

1,237

25

115

49.48

0.882533

0.818108

0

0.009174

0

1

0

false

0

0.125

0

null

0

1

0

null

0

1

278941aab99fac086f38eb414bccf8c30fd00617

328

py

Python

common/tasks.py

gaomugong/flask-demo

83bfb04634355565456cc16a5e98421338e3f562

[ "MIT" ]

12

2017-12-24T13:58:17.000Z

2021-04-06T16:21:00.000Z

common/tasks.py

gaomugong/flask-demo

83bfb04634355565456cc16a5e98421338e3f562

[ "MIT" ]

null

common/tasks.py

gaomugong/flask-demo

83bfb04634355565456cc16a5e98421338e3f562

[ "MIT" ]

1

2021-10-17T14:45:44.000Z

# -*- coding: utf-8 -*- from app import celery, app @celery.task() def add_together(a, b): app.logger.info('hello world') return a + b # from common.extensions import celery # from flask import current_app # # # @celery.task() # def add_together(a, b): # current_app.logger.info('hello world') # retur...

18.222222

44

0.652439

49

328

4.285714

0.44898

0.038095

0.12381

0.152381

0.571429

0

0.003802

0.198171

328

17

45

19.294118

0.794677

0.570122

0

0.083969

0

1

0.2

false

0

0.2

0

0.6

0

null

0

null

0

1

0

1

2789b658170df8dfdb61f142d656fdcfa80baf19

11,411

py

Python

Code/3_linear_regression_on_pixels.py

jjatinggoyal/accessbility-indicators

7126d3bc33dc6dadbcf6d9000d6ef6d432f093c0

[ "MIT" ]

null

Code/3_linear_regression_on_pixels.py

jjatinggoyal/accessbility-indicators

7126d3bc33dc6dadbcf6d9000d6ef6d432f093c0

[ "MIT" ]

null

Code/3_linear_regression_on_pixels.py

jjatinggoyal/accessbility-indicators

7126d3bc33dc6dadbcf6d9000d6ef6d432f093c0

[ "MIT" ]

null

# -*- coding: utf-8 -*- """3_Linear_regression_on_pixels.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1nhECM9OxwIw8BjEqsQcSUwojX2KYrh1I """ from google.colab import drive #to retrieve data from drive drive.mount('/content/drive/') cd 'driv...

52.344037

155

0.729997

1,687

11,411

4.730883

0.167161

0.01704

0.022554

0.028067

0.822328

0.817943

0.811427

0

0.024398

0.17746

11,411

218

156

52.344037

0.825911

0.158531

0

1

0

0.097513

0.06622

0

0.015152

0

null

0

0.136364

null

0.030303

0

null

0

1

0

1

0

null

0

1

0

8

278a8dffe7af41773e706a3b3b7522cea3642494

127

py

Python

ccc/cfg.py

zkdev/cc-utils

042c6632ca6f61a484bc0a71f85957aeba7f7278

[ "BSD-3-Clause" ]

15

2018-04-18T13:25:30.000Z

2022-03-04T09:25:41.000Z

ccc/cfg.py

zkdev/cc-utils

042c6632ca6f61a484bc0a71f85957aeba7f7278

[ "BSD-3-Clause" ]

221

2018-04-12T06:29:43.000Z

2022-03-27T03:01:40.000Z

ccc/cfg.py

zkdev/cc-utils

042c6632ca6f61a484bc0a71f85957aeba7f7278

[ "BSD-3-Clause" ]

29

2018-04-11T14:42:23.000Z

2021-11-09T16:26:32.000Z

import functools import ci.util ctx = ci.util.ctx() @functools.lru_cache() def cfg_factory(): return ctx.cfg_factory()

11.545455

28

0.716535

19

127

4.631579

0.578947

0.136364

0.204545

0

0.15748

127

10

29

12.7

0.82243

0

1

0.166667

false

0

0.333333

0.166667

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

278e170fcb4a1f505f51883094b18a872922bd6e

2,459

py

Python

scripts/create_grids.py

edwardoughton/taddle

f76ca6067e6fca6b699675ab038c31c9444e0a79

[ "MIT" ]

9

2020-08-18T04:25:00.000Z

2022-03-18T16:42:33.000Z

scripts/create_grids.py

edwardoughton/arpu_predictor

f76ca6067e6fca6b699675ab038c31c9444e0a79

[ "MIT" ]

null

scripts/create_grids.py

edwardoughton/arpu_predictor

f76ca6067e6fca6b699675ab038c31c9444e0a79

[ "MIT" ]

4

2020-01-27T01:48:30.000Z

2021-12-01T16:48:17.000Z

""" Create 10km x 10km grid using the country shapefile. Written by Ed Oughton. Winter 2020 """ import argparse import os import configparser import geopandas as gpd from shapely.geometry import Polygon, mapping import pandas as pd import numpy as np import rasterio from rasterstats import zonal_stats BASE_DIR = '....

26.44086

94

0.699471

341

2,459

4.876833

0.384164

0.043295

0.036079

0.023452

0.093806

0.044498

0

0.018701

0.173648

2,459

92

95

26.728261

0.799705

0.124034

0

0.100476

0.010952

0

1

0.058824

false

0

0.215686

0

0.294118

0.019608

0

null

0

null

0

1

0

27907e0aff23ef4fbe2d4a38e27570505c4caa34

366

py

Python

test/test_all.py

beremaran/spdown

59e5ea6996be51ad015f9da6758e2ce556b9fb94

[ "MIT" ]

2

2019-08-13T15:13:58.000Z

2019-10-04T09:09:24.000Z

test/test_all.py

beremaran/spdown

59e5ea6996be51ad015f9da6758e2ce556b9fb94

[ "MIT" ]

4

2021-02-08T20:23:42.000Z

2022-03-11T23:27:07.000Z

test/test_all.py

beremaran/spdown

59e5ea6996be51ad015f9da6758e2ce556b9fb94

[ "MIT" ]

null

#!/usr/bin/env python import unittest test_modules = [ 'test.test_config', 'test.test_secrets', 'test.test_spotify', 'test.test_youtube' ] if __name__ == "__main__": suite = unittest.TestSuite() for tm in test_modules: suite.addTest(unittest.defaultTestLoader.loadTestsFromName(tm)) ...

19.263158

71

0.691257

42

366

5.690476

0.595238

0.133891

0

0.180328

366

18

72

20.333333

0.796667

0.054645

0

0.217391

0

1

0

false

0

0.083333

0

0.083333

0

null

0

null

0

1

0

2790d75b4b157f35c41640a672fd75216eb8137c

1,281

py

Python

tests/rec_util.py

pablohawz/tfg-Scan-Paint-clone

056cd50d9e4274620cf085a41ed9d326e16dd47b

[ "MIT" ]

null

tests/rec_util.py

pablohawz/tfg-Scan-Paint-clone

056cd50d9e4274620cf085a41ed9d326e16dd47b

[ "MIT" ]

null

tests/rec_util.py

pablohawz/tfg-Scan-Paint-clone

056cd50d9e4274620cf085a41ed9d326e16dd47b

[ "MIT" ]

null

import os import tempfile from time import time import numpy as np import sounddevice as sd from PySide2.QtWidgets import QApplication, QFileDialog from scipy.io.wavfile import write # Config t = 3 # s fs = 44100 def save(x, fs): # You have to create a QApp in order to use a # Widget (QFileDialg) app =...

20.66129

67

0.565964

175

1,281

4.068571

0.542857

0.050562

0

0.023385

0.298985

1,281

61

68

21

0.769488

0.078845

0

0.103242

0

1

0.052632

false

0

0.184211

0

0.263158

0.105263

0

null

0

null

0

1

0

2792236e3960ae778ac604767d58c8cfaef78404

10,977

py

Python

test/comptests/TestHybridQuasiGaussian.py

sschlenkrich/HybridMonteCarlo

72f54aa4bcd742430462b27b72d70369c01f9ac4

[ "MIT" ]

3

2021-08-18T18:34:41.000Z

2021-12-24T07:05:19.000Z

test/comptests/TestHybridQuasiGaussian.py

sschlenkrich/HybridMonteCarlo

72f54aa4bcd742430462b27b72d70369c01f9ac4

[ "MIT" ]

null

test/comptests/TestHybridQuasiGaussian.py

sschlenkrich/HybridMonteCarlo

72f54aa4bcd742430462b27b72d70369c01f9ac4

[ "MIT" ]

3

2021-01-31T11:41:19.000Z

2022-03-25T19:51:20.000Z

#!/usr/bin/python import sys sys.path.append('./') import unittest import copy import numpy as np from hybmc.mathutils.Helpers import BlackImpliedVol, BlackVega from hybmc.termstructures.YieldCurve import YieldCurve from hybmc.models.AssetModel import AssetModel from hybmc.models.HybridModel import HybridModel from...

41.579545

125

0.484376

1,402

10,977

3.710414

0.142653

0.032295

0.029412

0.027682

0.642637

0.589965

0.511726

0.463476

0.380431

0.365436

0

0.086606

0.366767

10,977

263

126

41.737643

0.661775

0.05548

0

0.490476

0

0.02381

0.059376

0

0.009524

1

0.028571

false

0

0.061905

0

0.104762

0.038095

0

null

0

null

0

1

0

27939e55222086ece981ba3a6efa56f956601617

143

py

Python

model/__init__.py

Blind-Aid/sentiment-discovery

081c7c855e00864b52e97cac0b0e097cc86d9731

[ "BSD-3-Clause" ]

1,093

2017-12-05T20:35:45.000Z

2022-02-26T17:48:30.000Z

model/__init__.py

Blind-Aid/sentiment-discovery

081c7c855e00864b52e97cac0b0e097cc86d9731

[ "BSD-3-Clause" ]

67

2017-12-05T22:02:55.000Z

2021-05-25T09:06:41.000Z

model/__init__.py

Blind-Aid/sentiment-discovery

081c7c855e00864b52e97cac0b0e097cc86d9731

[ "BSD-3-Clause" ]

207

2017-12-05T20:59:45.000Z

2022-03-08T09:32:39.000Z

from .distributed import * from .model import * from .sentiment_classifier import * from .transformer import * from .transformer_utils import *

28.6

35

0.797203

17

143

6.588235

0.470588

0.357143

0.375

0

0.132867

143

5

36

28.6

0.903226

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

2793c0f51d8fcdcbec81fb953d41e2dc42b499c2

2,927

py

Python

SIP/src/peer/peer.py

trishantpahwa/Session-Initiation-Protocol

5b770dbb9533fbe3a8ff31fc583576cc107e5ba8

[ "MIT" ]

3

2019-06-18T18:21:05.000Z

2021-07-15T06:28:25.000Z

SIP/src/peer/peer.py

trishantpahwa/Session-Initiation-Protocol

5b770dbb9533fbe3a8ff31fc583576cc107e5ba8

[ "MIT" ]

4

2019-01-30T11:31:13.000Z

2019-03-06T12:36:54.000Z

SIP/src/peer/peer.py

trishantpahwa/Session-Initiation-Protocol

5b770dbb9533fbe3a8ff31fc583576cc107e5ba8

[ "MIT" ]

1

2019-08-12T11:31:23.000Z

import socket class peer: __db = None __s = socket __protocol = '' __port = 5060 __s_address = () __buff_size = 4096 def __init__(self, protocol='TCP', port=5060, buff_size=4096): self.__set_protocol(protocol) self.__set_port(port) self.__set_buff_size(buff_size)...

28.696078

75

0.60574

351

2,927

4.595442

0.159544

0.046497

0.034098

0.037198

0.282703

0.231866

0.185989

0.137632

0

0.011036

0.288008

2,927

101

76

28.980198

0.762956

0

0.217949

0

0.024599

0

1

0.24359

false

0

0.012821

0.051282

0.461538

0.012821

0

null

0

null

0

1

0

1

279582d504d9da0d858f00c0d357db9ba41aecb7

3,387

py

Python

champ_bringup/scripts/joint_calibrator_relay.py

lubitz99/champ

2e4c8606db9a365866726ea84e8107c14ee9446d

[ "BSD-3-Clause" ]

923

2020-04-06T15:09:24.000Z

2022-03-30T15:34:08.000Z

champ_bringup/scripts/joint_calibrator_relay.py

lubitz99/champ

2e4c8606db9a365866726ea84e8107c14ee9446d

[ "BSD-3-Clause" ]

73

2020-05-12T09:23:12.000Z

2022-03-28T06:22:16.000Z

champ_bringup/scripts/joint_calibrator_relay.py

lubitz99/champ

2e4c8606db9a365866726ea84e8107c14ee9446d

[ "BSD-3-Clause" ]

229

2020-04-26T06:32:28.000Z

2022-03-29T08:07:28.000Z

#!/usr/bin/env python ''' Copyright (c) 2019-2020, Juan Miguel Jimeno All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, thi...

45.16

110

0.749631

457

3,387

5.376368

0.426696

0.03663

0.026455

0.030932

0.11803

0.098494

0.055352

0

0.009058

0.18512

3,387

75

111

45.16

0.881159

0.455861

0

0.100763

0.081699

0

1

0.054054

false

0

0.162162

0

0.243243

0

null

0

null

0

1

0

279641443118aebc70b220bf9dae1dc53a9d2fc4

3,909

py

Python

touchdown/aws/vpc/vpc.py

yaybu/touchdown

70ecda5191ce2d095bc074dcb23bfa1584464814

[ "Apache-2.0" ]

14

2015-01-05T18:18:04.000Z

2022-02-07T19:35:12.000Z

touchdown/aws/vpc/vpc.py

yaybu/touchdown

70ecda5191ce2d095bc074dcb23bfa1584464814

[ "Apache-2.0" ]

106

2015-01-06T00:17:13.000Z

2019-09-07T00:35:32.000Z

touchdown/aws/vpc/vpc.py

yaybu/touchdown

70ecda5191ce2d095bc074dcb23bfa1584464814

[ "Apache-2.0" ]

5

2015-01-30T10:18:24.000Z

2022-02-07T19:35:13.000Z

# Copyright 2014 Isotoma Limited # # 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...

32.575

84

0.660783

414

3,909

6.113527

0.369565

0.023706

0.02015

0.012643

0.27499

0.250494

0.219676

0.19439

0.149348

0

0.005703

0.237401

3,909

119

85

32.84874

0.843341

0.147352

0

0.283951

0

0.155817

0.026522

0

1

0.061728

false

0

0.061728

0.012346

0.407407

0

null

0

null

0

1

0

2796c1a0814e47f59cba47b456a1373f8929dd6d

77

py

Python

backend_django/type/__init__.py

mehranagh20/Typonent

702ae3e018dcffb952c870b0a680f2475845b744

[ "MIT" ]

4

2017-03-24T19:14:29.000Z

2017-04-02T18:23:25.000Z

backend_django/type/__init__.py

mehranagh20/typing_site

702ae3e018dcffb952c870b0a680f2475845b744

[ "MIT" ]

4

2017-03-25T20:25:04.000Z

2017-03-31T17:18:23.000Z

backend_django/type/__init__.py

mehranagh20/typing_site

702ae3e018dcffb952c870b0a680f2475845b744

[ "MIT" ]

null

# from type.models import User, Requirement, Involvement, Competition, Text

25.666667

75

0.792208

9

77

6.777778

1

0

0.12987

77

3

75

25.666667

0.910448

0.948052

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

2797b6dfc818a3de2bc52aaf5906014401475627

793

py

Python

estructuras de control secuenciales/ejercicio10.py

svcuellar/algoritmos_programacion

0813ee6a2ccb605557a7920bf82440b7388b49e8

[ "MIT" ]

null

estructuras de control secuenciales/ejercicio10.py

svcuellar/algoritmos_programacion

0813ee6a2ccb605557a7920bf82440b7388b49e8

[ "MIT" ]

null

estructuras de control secuenciales/ejercicio10.py

svcuellar/algoritmos_programacion

0813ee6a2ccb605557a7920bf82440b7388b49e8

[ "MIT" ]

null

""" entradas cantidadchelinesaustriacos-->c-->float cantidaddragmasgriegos-->dg-->float cantidadpesetas-->p-->float salidas chelines_a_pesetas-->c_p-->float dragmas_a_francosfrancese-->dg_ff-->float pesetas_a_dolares-->p_d-->float pesetas_a_lirasitalianas-->p_li-->float """ #entradas c=float(input("Ingrese la cantida...

28.321429

78

0.726356

126

793

4.412698

0.365079

0.032374

0.091727

0.102518

0.156475

0

0.040559

0.098361

793

28

78

28.321429

0.737063

0.369483

0

0.478615

0

1

0

false

0

0.3

0

null

0

null

0

1

0

27981338330ee315b120f4f29b8d0163c165b34b

4,453

py

Python

st_model.py

saras108/Sentiment_Analysis

7e4e84637161cd005ebbcd303f68417726b5f098

[ "MIT" ]

null

st_model.py

saras108/Sentiment_Analysis

7e4e84637161cd005ebbcd303f68417726b5f098

[ "MIT" ]

null

st_model.py

saras108/Sentiment_Analysis

7e4e84637161cd005ebbcd303f68417726b5f098

[ "MIT" ]

null

#importing necessary libraries import numpy as np import pandas as pd import string import streamlit as st header = st.container() dataset = st.container() fearure = st.container() model_training = st.container() def get_data(file_name): df = pd.read_csv(file_name , header = None) return df with header: ...

29.885906

302

0.688974

624

4,453

4.804487

0.342949

0.03002

0.018679

0.021348

0.183456

0.113409

0.078052

0.05537

0

0.007042

0.202785

4,453

148

303

30.087838

0.837465

0.034359

0

0.042553

0

0.010638

0.277467

0.021648

0

1

0.053191

false

0

0.138298

0

0.244681

0

null

0

null

0

1

0

279b274296a91748dfbdabae0134ce96287057e9

540

py

Python

config.py

sheepmen/SpiderManage

850d6357fd1117c16684dabb5d1e79de1854e61c

[ "MIT" ]

1

2018-06-13T00:38:53.000Z

config.py

sheepmen/SpiderManage

850d6357fd1117c16684dabb5d1e79de1854e61c

[ "MIT" ]

null

config.py

sheepmen/SpiderManage

850d6357fd1117c16684dabb5d1e79de1854e61c

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- SECRET_KEY = 'some secret key' TEMPLATES_AUTO_RELOAD = True PROJECT_NAME = 'SpiderManage' # Redis Config REDIS_HOST = '120.25.227.8' REDIS_PORT = 6379 REDIS_PASSWORD = 'xuxinredis' # SQLite # SQLALCHEMY_DATABASE_URI = 'sqlite:///C:/Users/sheep3/workplace/SpiderManage/data.d...

30

93

0.777778

75

540

5.346667

0.653333

0.044888

0.0399

0.044888

0

0.059305

0.094444

540

18

94

30

0.760736

0.351852

0

0.111111

0.331395

0.188953

0

1

0

false

0.111111

0

null

0

null

0

1

0

1

279b776bfdce89147881347913d489e839a74293

3,989

py

Python

PyPrometheus.py

RusDavies/PyPrometheus

8c0bb9489f42423942982829024d7359a374d7b1

[ "MIT" ]

null

PyPrometheus.py

RusDavies/PyPrometheus

8c0bb9489f42423942982829024d7359a374d7b1

[ "MIT" ]

null

PyPrometheus.py

RusDavies/PyPrometheus

8c0bb9489f42423942982829024d7359a374d7b1

[ "MIT" ]

null

from PyPrometheusQueryClient import PrometheusQueryClient import json from pathlib import Path from datetime import datetime class Prometheus: def __init__(self, url, metrics_config_file=None, cache_path=None, cache_ttl=3600, ssl_verify=True, starttime=None, endtime=None): self._metrics_config_file = met...

37.990476

134

0.613688

476

3,989

4.991597

0.283613

0.093013

0.078704

0.05303

0.155303

0.111111

0.074074

0.042088

0

0.002457

0.285786

3,989

105

135

37.990476

0.83152

0.174731

0

0.067797

0

0.086081

0

1

0.067797

false

0

0.067797

0

0.186441

0.016949

0

null

0

null

0

1

0

279d9301e8e9b967d31f0c36c000b8b79e8eab38

5,557

py

Python

tests/validate_schema_guide.py

dieghernan/citation-file-format

cfad34b82aa882d8169a0bcb6a21ad19cb4ff401

[ "CC-BY-4.0" ]

257

2017-12-18T14:09:32.000Z

2022-03-28T17:58:19.000Z

tests/validate_schema_guide.py

Seanpm2001-DIGITAL-Command-Language/citation-file-format

52647a247e9b1a5b04154934f39615b5ee8c4d65

[ "CC-BY-4.0" ]

307

2017-10-16T12:17:40.000Z

2022-03-18T11:18:49.000Z

tests/validate_schema_guide.py

Seanpm2001-DIGITAL-Command-Language/citation-file-format

52647a247e9b1a5b04154934f39615b5ee8c4d65

[ "CC-BY-4.0" ]

344

2018-09-19T03:00:26.000Z

2022-03-31T01:39:11.000Z

import pytest import os import json import jsonschema from ruamel.yaml import YAML def test(): def extract_snippets(): start = 0 end = len(markdown) while start < end: snippet_start = markdown.find("```yaml\n", start, end) if snippet_start == -1: br...

57.28866

171

0.479935

512

5,557

5.150391

0.242188

0.057641

0.095563

0.079257

0.459234

0.427759

0.361775

0.326887

0

0.010131

0.396077

5,557

96

172

57.885417

0.775626

0

0.208791

0

0.010989

0.196329

0.013137

0

1

0.021978

false

0.032967

0.054945

0

0.087912

0.021978

0

null

0

null

0

1

0

279ec732b8ac9028c087cef84952b665f1b41600

188

py

Python

vkrpg/scripts/hello.py

Augmeneco/VKRPG

b071a490ae45a574a028af1eb831fff96782c06c

[ "Apache-2.0" ]

null

vkrpg/scripts/hello.py

Augmeneco/VKRPG

b071a490ae45a574a028af1eb831fff96782c06c

[ "Apache-2.0" ]

null

vkrpg/scripts/hello.py

Augmeneco/VKRPG

b071a490ae45a574a028af1eb831fff96782c06c

[ "Apache-2.0" ]

null

import vkrpg class MainContext(vkrpg.contexts.BaseContext): def on_message(self, msg): vkrpg.chat.send(msg['peer_id'], text='Привет, VKID#{}!'.format(msg['from_id']))

31.333333

87

0.659574

25

188

4.84

0.8

0

0.164894

188

6

88

31.333333

0.770701

0

0.15873

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

27a5750fd3834a5dd24fb63cbde3fd11a0fdfdd0

4,613

py

Python

flaskprediction/routes.py

killswitchh/flask-prediction-app

a8bdff96fa2dc05544991a705970d1550ac9a034

[ "MIT" ]

null

flaskprediction/routes.py

killswitchh/flask-prediction-app

a8bdff96fa2dc05544991a705970d1550ac9a034

[ "MIT" ]

1

2020-08-29T18:39:05.000Z

2020-08-30T09:43:47.000Z

flaskprediction/routes.py

killswitchh/flask-prediction-app

a8bdff96fa2dc05544991a705970d1550ac9a034

[ "MIT" ]

null

import secrets from flask import Flask , render_template , url_for , send_from_directory from flaskprediction import app from flaskprediction.utils.predict import Predictor from flaskprediction.forms import CarDetailsForm , TitanicDetailsForm , BostonDetailsForm , HeightDetailsForm, CatImageForm from PIL import Imag...

39.767241

182

0.681986

556

4,613

5.517986

0.22482

0.057366

0.084746

0.071708

0.454368

0.434811

0.363755

0.321056

0.28292

0.267927

0

0.00133

0.185346

4,613

116

183

39.767241

0.815061

0

0.28866

0

0.133073

0.005202

0

1

0.103093

false

0.010309

0.072165

0.041237

0.329897

0.010309

0

null

0

null

0

1

0

27a61a2b957091652c5a6b1dfcf40f524e7bd75a

14,349

py

Python

air/gather.py

krisbukovi/AutomatedIngestReport

87cc65c9028382a0860069d86b69b8517d93f59c

[ "MIT" ]

null

air/gather.py

krisbukovi/AutomatedIngestReport

87cc65c9028382a0860069d86b69b8517d93f59c

[ "MIT" ]

null

air/gather.py

krisbukovi/AutomatedIngestReport

87cc65c9028382a0860069d86b69b8517d93f59c

[ "MIT" ]

null

import requests import re from time import sleep from datetime import datetime import shutil import elasticsearch2 from elasticsearch_dsl import Search, Q from collections import OrderedDict from sqlalchemy import create_engine from subprocess import Popen, PIPE, STDOUT import shlex import glob import csv # from api...

45.122642

160

0.566451

1,604

14,349

4.968204

0.243766

0.030117

0.012423

0.023717

0.318359

0.239679

0.185845

0.15347

0.105534

0

0.016535

0.312983

14,349

317

161

45.264984

0.791844

0.074779

0

0.192982

0

0.004386

0.267295

0.062338

0

null

0.035088

0.065789

null

0.026316

0

null

0

null

0

1

0

1

27a686fae11eeb59ce17fe8f4cf6412be0900891

8,180

py

Python

python_aternos/atconf.py

DarkCat09/python-aternos

a75d729e938a181449f304e849762dd9bb0e51f3

[ "Apache-2.0" ]

11

2021-10-01T13:04:44.000Z

2022-03-31T19:19:48.000Z

python_aternos/atconf.py

DarkCat09/python-aternos

a75d729e938a181449f304e849762dd9bb0e51f3

[ "Apache-2.0" ]

7

2021-10-01T14:00:20.000Z

2022-03-21T12:29:24.000Z

python_aternos/atconf.py

DarkCat09/python-aternos

a75d729e938a181449f304e849762dd9bb0e51f3

[ "Apache-2.0" ]

4

2022-01-07T13:47:39.000Z

2022-02-22T21:51:28.000Z

import enum import re import lxml.html from typing import Any, Dict, List, Union, Optional from typing import TYPE_CHECKING if TYPE_CHECKING: from .atserver import AternosServer class ServerOpts(enum.Enum): """server.options file""" players = 'max-players' gm = 'gamemode' difficulty = 'difficult...

24.638554

82

0.667604

985

8,180

5.477157

0.293401

0.011863

0.014829

0.027804

0.256905

0.217794

0.183689

0.098795

0.082113

0.054866

0

0.002746

0.198655

8,180

331

83

24.712991

0.82029

0.24132

0

0.083799

0

0.297516

0.074863

0

1

0.072626

false

0

0.03352

0

0.519553

0

null

0

null

0

1

0

1

27a6c1cdc477a10a4c9b691137650bb8e9980229

11,859

py

Python

examples/cadre_dymos.py

johnjasa/CADRE

a4ffd61582b8474953fc309aa540838a14f29dcf

[ "Apache-2.0" ]

null

examples/cadre_dymos.py

johnjasa/CADRE

a4ffd61582b8474953fc309aa540838a14f29dcf

[ "Apache-2.0" ]

null

examples/cadre_dymos.py

johnjasa/CADRE

a4ffd61582b8474953fc309aa540838a14f29dcf

[ "Apache-2.0" ]

null

from __future__ import print_function import unittest import numpy as np from openmdao.api import Problem, Group, pyOptSparseDriver, DirectSolver, SqliteRecorder from dymos import Phase from dymos.utils.indexing import get_src_indices_by_row from dymos.phases.components import ControlInterpComp from CADRE.odes_dym...

42.812274

143

0.70436

1,872

11,859

4.162927

0.151175

0.09547

0.01604

0.036571

0.570384

0.473374

0.4232

0.371744

0.346336

0.328372

0

0.039112

0.141918

11,859

276

144

42.967391

0.72671

0.267645

0

0.178082

0

0.208895

0.128774

0

1

0

false

0

0.075342

0

0.075342

0.006849

0

null

0

null

0

1

0

27a730a5c6d3019f232b6aef55d357908663ff70

959

py

Python

deso/Media.py

AdityaChaudhary0005/DeSo.py

5cb3c757fb21bad472da921c0148675c8957eb17

[ "MIT" ]

11

2021-11-12T18:20:22.000Z

2022-03-16T02:12:06.000Z

deso/Media.py

AdityaChaudhary0005/DeSo.py

5cb3c757fb21bad472da921c0148675c8957eb17

[ "MIT" ]

6

2021-11-25T04:30:44.000Z

2021-12-15T12:33:24.000Z

deso/Media.py

AdityaChaudhary0005/DeSo.py

5cb3c757fb21bad472da921c0148675c8957eb17

[ "MIT" ]

8

2021-11-19T19:14:50.000Z

2022-01-31T21:27:32.000Z

from deso.utils import getUserJWT import requests class Media: def __init__(self, publicKey=None, seedHex=None, nodeURL="https://node.deso.org/api/v0/"): self.SEED_HEX = seedHex self.PUBLIC_KEY = publicKey self.NODE_URL = nodeURL def uploadImage(self, fileList): #uploads imag...

31.966667

95

0.554745

98

959

5.295918

0.571429

0.026975

0.042389

0

0.004769

0.344108

959

29

96

33.068966

0.82035

0.05318

0

0.094923

0.02649

0

1

0.090909

false

0

0.090909

0

0.318182

0

null

0

null

0

1

0

27a8998af1db32b395a9af2dbb6c8a21bc35a70c

169

py

Python

workSpace/boot.py

khutson/macequilt

a4a090ddf296fcea763825fda4243bc84b4d5f0d

[ "MIT" ]

null

workSpace/boot.py

khutson/macequilt

a4a090ddf296fcea763825fda4243bc84b4d5f0d

[ "MIT" ]

null

workSpace/boot.py

khutson/macequilt

a4a090ddf296fcea763825fda4243bc84b4d5f0d

[ "MIT" ]

null

# This file is executed on every boot (including wake-boot from deepsleep) import esp esp.osdebug(None) import wifi wifi.connect(repl=False) import gc gc.collect()

13

74

0.763314

27

169

4.777778

0.777778

0

0.153846

169

12

75

14.083333

0.902098

0.426036

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

null

0

1

0

1

0

3

27a8cc8eee02c003f65618c441f8c80b6ada0052

1,790

py

Python

s3-scan-tar/tests/test_models.py

omBratteng/mottak

b7d2e1d063b31c2ad89c66e5414297612f91ebe9

[ "Apache-2.0" ]

4

2021-03-05T15:39:24.000Z

2021-09-15T06:11:45.000Z

s3-scan-tar/tests/test_models.py

omBratteng/mottak

b7d2e1d063b31c2ad89c66e5414297612f91ebe9

[ "Apache-2.0" ]

631

2020-04-27T10:39:18.000Z

2022-03-31T14:51:38.000Z

s3-scan-tar/tests/test_models.py

omBratteng/mottak

b7d2e1d063b31c2ad89c66e5414297612f91ebe9

[ "Apache-2.0" ]

3

2020-02-20T15:48:03.000Z

2021-12-16T22:50:40.000Z

import pytest from app.models import AVScanResult @pytest.fixture def _scan_result() -> AVScanResult: clean = 10 virus = 0 skipped = 0 return AVScanResult(clean, virus, skipped) def test_avscanresult_init(_scan_result): result = AVScanResult(10, 0, 0) assert result == _scan_result def test...

29.833333

62

0.655307

232

1,790

4.818966

0.219828

0.048301

0.037567

0.056351

0.54025

0.478533

0.321109

0.28712

0

0.031947

0.248045

1,790

59

63

30.338983

0.798663

0.029609

0

0.333333

0

0.303746

0

0.133333

1

0.133333

false

0

0.044444

0

0.2

0

null

0

null

0

1

0

27a97aed4e6639ade2261db847e3a6e16989a40c

1,424

py

Python

autoload/activate_this.py

BonaBeavis/vim-venom

a4ed892bd844de51c92e7b59dbc975db02c939b9

[ "Vim" ]

24

2020-04-26T11:50:40.000Z

2022-02-22T08:05:36.000Z

autoload/activate_this.py

BonaBeavis/vim-venom

a4ed892bd844de51c92e7b59dbc975db02c939b9

[ "Vim" ]

5

2021-01-26T12:41:12.000Z

2022-01-11T15:40:43.000Z

autoload/activate_this.py

BonaBeavis/vim-venom

a4ed892bd844de51c92e7b59dbc975db02c939b9

[ "Vim" ]

4

2020-05-02T21:45:36.000Z

2022-03-25T13:51:00.000Z

# -*- coding: utf-8 -*- """Activate virtualenv for current interpreter: Source: https://github.com/pypa/virtualenv Use exec(open(this_file).read(), {'__file__': this_file}). """ import os import site import sys try: abs_file = os.path.abspath(__file__) except NameError: raise AssertionError( "You must...

30.297872

78

0.714185

218

1,424

4.477064

0.422018

0.098361

0.02459

0.055328

0.157787

0.131148

0.071721

0

0.006509

0.136938

1,424

46

79

30.956522

0.787632

0.287921

0

0.167665

0.027944

0

0.035714

1

0

false

0

0.107143

0

0.107143

0

null

0

null

0

1

0

27abc06bb50512111945d911b3687183e05cd80c

2,731

py

Python

tattrdb/models.py

gmjosack/tattrdb

88d46eb049d05a1f0531531c49c2209c2bbbf562

[ "MIT" ]

1

2018-11-24T02:33:15.000Z

tattrdb/models.py

gmjosack/tattrdb

88d46eb049d05a1f0531531c49c2209c2bbbf562

[ "MIT" ]

null

tattrdb/models.py

gmjosack/tattrdb

88d46eb049d05a1f0531531c49c2209c2bbbf562

[ "MIT" ]

null

from sqlalchemy import create_engine from sqlalchemy import ( Table, Column, Integer, String, Text, Boolean, ForeignKey, Enum, DateTime ) from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relationship, backref, sessionmaker Session = sessionmaker() Model = declarative_base() ...

28.154639

103

0.656902

314

2,731

5.557325

0.251592

0.040115

0.05616

0.036676

0.2

0.146705

0.103152

0

0.005618

0.217869

2,731

96

104

28.447917

0.81133

0.022702

0

0.184615

0

0.093985

0

1

0.076923

false

0

0.061538

0.030769

0.523077

0

null

0

null

0

1

0

27abe035638fda37c09ec1990dca44e2161d8667

30

py

Python

onepassword/__init__.py

jemmyw/1pass

8dbfa5e062ce08e26c5619dbdb2b27323e5b3dc9

[ "MIT" ]

1

2016-11-14T22:16:48.000Z

onepassword/__init__.py

elliotchance/1pass

4bd45a52476c410c6e5b51f90fd46cbdd436807f

[ "MIT" ]

null

onepassword/__init__.py

elliotchance/1pass

4bd45a52476c410c6e5b51f90fd46cbdd436807f

[ "MIT" ]

null

from keychain import Keychain

15

29

0.866667

4

30

6.5

0.75

0

0.133333

30

1

30

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

27ae7ed160d61ff6977fb0ea0dc61ee80279d33b

152,955

py

Python

modules/cockatoo/_knitnetwork.py

fstwn/Cockatoo

0c5f9c515053bfc31e62d20fddc4ae9bece09d88

[ "MIT" ]

9

2020-09-26T03:41:21.000Z

2021-11-29T06:52:35.000Z

modules/cockatoo/_knitnetwork.py

fstwn/Cockatoo

0c5f9c515053bfc31e62d20fddc4ae9bece09d88

[ "MIT" ]

9

2020-08-10T19:38:03.000Z

2022-02-24T08:41:32.000Z

modules/cockatoo/_knitnetwork.py

fstwn/Cockatoo

0c5f9c515053bfc31e62d20fddc4ae9bece09d88

[ "MIT" ]

3

2020-12-26T08:43:56.000Z

2021-10-17T19:37:52.000Z

# PYTHON STANDARD LIBRARY IMPORTS --------------------------------------------- from __future__ import absolute_import from __future__ import division from __future__ import print_function from collections import deque from collections import OrderedDict from math import radians from math import pi from operator import...

45.454681

79

0.495106

15,195

152,955

4.844817

0.063244

0.013448

0.00777

0.008802

0.641129

0.600418

0.571335

0.543883

0.523629

0.509611

0

0.009948

0.428904

152,955

3,364

80

45.468193

0.832814

0.279599

0

0.587319

0

0.040063

0.001593

0

0.000595

0

1

0.015573

false

0.004449

0.022247

0

0.05228

0.040044

0

null

0

null

0

1

0