xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

f5301087690900f18790595cf080153f91b40dd0

954

py

Python

motivation_quote/app.py

lukas-weiss/motivation-quote

90c73342a71f6a8f8b5339b5d080d19ac67083b7

[ "MIT" ]

null

motivation_quote/app.py

lukas-weiss/motivation-quote

90c73342a71f6a8f8b5339b5d080d19ac67083b7

[ "MIT" ]

null

motivation_quote/app.py

lukas-weiss/motivation-quote

90c73342a71f6a8f8b5339b5d080d19ac67083b7

[ "MIT" ]

null

import json import os.path import logging import csv from random import randint logger = logging.getLogger() logger.setLevel(logging.INFO) def get_quote(file): if os.path.exists(file): with open(file) as csvfile: quotes = list(csv.reader(csvfile, delimiter=';')) max_quotes = len(quo...

25.105263

61

0.603774

116

954

4.810345

0.456897

0.089606

0.069892

0.0681

0

0.010264

0.285115

954

37

62

25.783784

0.807918

0.037736

0

0.050218

0

1

0.0625

false

0

0.15625

0

0.28125

0

null

0

null

0

1

0

f531e1bea64fba94ad609a7c42aeb9cf4d1498ca

3,142

py

Python

tools/extract_textline.py

bitcoder-17/scale-digits-recognition

b75c658ffdc830784ae4be9c007909e4c8f1d695

[ "MIT" ]

null

tools/extract_textline.py

bitcoder-17/scale-digits-recognition

b75c658ffdc830784ae4be9c007909e4c8f1d695

[ "MIT" ]

null

tools/extract_textline.py

bitcoder-17/scale-digits-recognition

b75c658ffdc830784ae4be9c007909e4c8f1d695

[ "MIT" ]

null

from pathlib import Path import cv2 import json import math import numpy as np from argparse import ArgumentParser def distance(p1, p2): return math.sqrt((p2[0] - p1[0])**2 + (p2[1] - p1[1])**2) def order_points(points): pts = {} for x1, y1 in points: count_x_larger = 0 count_x_smaller =...

33.073684

85

0.54965

433

3,142

3.806005

0.263279

0.025485

0.031553

0.182039

0.120146

0

0.031496

0.312858

3,142

94

86

33.425532

0.73182

0

0.076923

0

0.06429

0

1

0.038462

false

0

0.076923

0.012821

0.153846

0

null

0

null

0

1

0

f536be230ab9f47d327f6fa5a8e54f230ab096d9

1,745

py

Python

chatServer/server.py

RobbeBryssinck/chatApplication

628ab6acb2b19d26d3e5c064cbea14747041f43e

[ "MIT" ]

null

chatServer/server.py

RobbeBryssinck/chatApplication

628ab6acb2b19d26d3e5c064cbea14747041f43e

[ "MIT" ]

null

chatServer/server.py

RobbeBryssinck/chatApplication

628ab6acb2b19d26d3e5c064cbea14747041f43e

[ "MIT" ]

null

import socket import sys import os import optparse from threading import * def createServer(ip, port): # create a TCP socket sck = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # bind the socket to the port server_address = (ip, port) print("starting up on {} port {}".format(*server_address)) sck.bind(ser...

19.606742

91

0.676218

240

1,745

4.85

0.429167

0.015464

0.041237

0.02921

0.042955

0

0.008415

0.182808

1,745

88

92

19.829545

0.807854

0.115186

0

0.150943

0

0.132334

0

1

0.075472

false

0

0.09434

0

0.188679

0.09434

0

null

0

null

0

1

0

f537b763bb0939c0d65ba5d32dd7d3fcdadbcca3

1,502

py

Python

tests/test_utils_bytes.py

cwichel/embutils

188d86d84637088bafef188b3312078048934113

[ "MIT" ]

null

tests/test_utils_bytes.py

cwichel/embutils

188d86d84637088bafef188b3312078048934113

[ "MIT" ]

null

tests/test_utils_bytes.py

cwichel/embutils

188d86d84637088bafef188b3312078048934113

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: ascii -*- """ Byte utilities testing. :date: 2021 :author: Christian Wiche :contact: cwichel@gmail.com :license: The MIT License (MIT) """ import unittest from embutils.utils import bitmask, reverse_bits, reverse_bytes # -->> Definitions <<------------------ # -->> Tes...

23.107692

63

0.581891

159

1,502

5.308176

0.427673

0.052133

0.033175

0.035545

0.298578

0.260664

0

0.092593

0.280959

1,502

64

23.46875

0.688889

0.345539

0

0.009081

0

0.043133

0

0.3

1

0.15

false

0

0.1

0

0.3

0

null

0

null

0

1

0

f53d0274845ff18a273019ee23bb400432511d7c

588

py

Python

utils/tool.py

yongleex/SBCC

40f8e67e446fc14fc82ea87f82ee841d62520c71

[ "MIT" ]

4

2021-09-04T04:02:57.000Z

2021-12-27T13:27:26.000Z

utils/tool.py

yongleex/SBCC

40f8e67e446fc14fc82ea87f82ee841d62520c71

[ "MIT" ]

1

2021-09-10T07:40:36.000Z

2022-01-02T06:23:12.000Z

utils/tool.py

yongleex/SBCC

40f8e67e446fc14fc82ea87f82ee841d62520c71

[ "MIT" ]

1

2021-09-10T07:36:29.000Z

import numpy as np from scipy.ndimage import maximum_filter class AttrDict(dict): __setattr__ = dict.__setitem__ __getattr__ = dict.__getitem__ def signal2noise(r_map): """ Compute the signal-to-noise ratio of correlation plane. w*h*c""" r = r_map.copy() max_r = maximum_filter(r_map, (5,5,1)...

18.375

63

0.612245

95

588

3.452632

0.547368

0.04878

0.030488

0

0.039648

0.227891

588

31

64

18.967742

0.682819

0.103742

0

0.015564

0

1

0.105263

false

0

0.105263

0

0.421053

0

null

0

null

0

1

0

f53f1078d0ccf6010a2d5acd1664c6d7881e41c8

8,584

py

Python

bjtunlp/train.py

bigbosskai/bjtunlp

58d8ca53fa1d99df2f47f10a0780619c4cdba22f

[ "MIT" ]

1

2020-12-16T07:18:00.000Z

bjtunlp/train.py

bigbosskai/bjtunlp

58d8ca53fa1d99df2f47f10a0780619c4cdba22f

[ "MIT" ]

null

bjtunlp/train.py

bigbosskai/bjtunlp

58d8ca53fa1d99df2f47f10a0780619c4cdba22f

[ "MIT" ]

1

2022-03-12T16:41:32.000Z

import os import time import argparse from tqdm import tqdm import torch from torch import optim from torch import nn from fastNLP import BucketSampler from fastNLP import logger from fastNLP import DataSetIter from fastNLP import Tester from fastNLP import cache_results from bjtunlp.models import BertParser from b...

48.224719

203

0.65028

1,128

8,584

4.750887

0.215426

0.031722

0.041239

0.017914

0.234372

0.168688

0.125023

0.115693

0

0.015115

0.229264

8,584

177

204

48.497175

0.794891

0.005009

0

0.019231

0.242882

0.040187

0

1

0.012821

false

0

0.121795

0

0.141026

0.038462

0

null

0

null

0

1

0

f53f3f14419ce7e5f5fb052bfc8906e374ee8971

7,978

py

Python

archived/functions/sync_elasticache/redis/LR_sync_redis_model_reuse.py

DS3Lab/LambdaML

0afca7819e08632ba116fec8e102084e4040a47a

[ "Apache-2.0" ]

23

2021-05-17T09:24:24.000Z

2022-01-29T18:40:44.000Z

archived/functions/sync_elasticache/redis/LR_sync_redis_model_reuse.py

DS3Lab/LambdaML

0afca7819e08632ba116fec8e102084e4040a47a

[ "Apache-2.0" ]

2

2021-05-17T16:15:12.000Z

2021-07-20T09:11:22.000Z

archived/functions/sync_elasticache/redis/LR_sync_redis_model_reuse.py

DS3Lab/LambdaML

0afca7819e08632ba116fec8e102084e4040a47a

[ "Apache-2.0" ]

3

2021-05-17T09:31:53.000Z

2021-12-02T16:29:59.000Z

import time import torch from torch.autograd import Variable from torch.utils.data.sampler import SubsetRandomSampler from archived.elasticache import redis_init from archived.s3.get_object import get_object from archived.old_model import LogisticRegression from data_loader.libsvm_dataset import DenseDatas...

44.322222

120

0.587741

918

7,978

4.876906

0.227669

0.023453

0.046683

0.033505

0.29551

0.261782

0.173554

0.112799

0.097387

0

0.008867

0.307345

7,978

179

121

44.569832

0.801303

0.083354

0

0.11811

0

0.093768

0.006377

0

1

0.007874

false

0

0.062992

0

0.070866

0.149606

0

null

0

null

0

1

0

f5401cd673d6e1e3eddd77c34fed0869702ad889

2,346

py

Python

src/backend/common/manipulators/team_manipulator.py

ofekashery/the-blue-alliance

df0e47d054161fe742ac6198a6684247d0713279

[ "MIT" ]

266

2015-01-04T00:10:48.000Z

2022-03-28T18:42:05.000Z

src/backend/common/manipulators/team_manipulator.py

ofekashery/the-blue-alliance

df0e47d054161fe742ac6198a6684247d0713279

[ "MIT" ]

2,673

2015-01-01T20:14:33.000Z

2022-03-31T18:17:16.000Z

src/backend/common/manipulators/team_manipulator.py

ofekashery/the-blue-alliance

df0e47d054161fe742ac6198a6684247d0713279

[ "MIT" ]

230

2015-01-04T00:10:48.000Z

2022-03-26T18:12:04.000Z

from typing import List from backend.common.cache_clearing import get_affected_queries from backend.common.manipulators.manipulator_base import ManipulatorBase from backend.common.models.cached_model import TAffectedReferences from backend.common.models.team import Team class TeamManipulator(ManipulatorBase[Team]): ...

37.238095

101

0.656436

280

2,346

5.246429

0.346429

0.038121

0.066712

0.061266

0.208305

0.19401

0

0.272379

2,346

62

102

37.83871

0.860574

0.047741

0

0.083333

0

1

0.083333

false

0

0.208333

0.041667

0.416667

0

null

0

null

0

1

0

f5450958d50c031030e18504e081e98ce995e8e8

3,680

py

Python

measures/over_under_exposure_measure/over_under_exposure_measure.py

HensoldtOptronicsCV/ImageQualityAssessment

7bb3af2cd20a32415966304c8fa3acb77c54f85d

[ "MIT" ]

8

2020-06-12T12:49:19.000Z

2021-04-27T12:10:49.000Z

measures/over_under_exposure_measure/over_under_exposure_measure.py

HensoldtOptronicsCV/ImageQualityAssessment

7bb3af2cd20a32415966304c8fa3acb77c54f85d

[ "MIT" ]

null

measures/over_under_exposure_measure/over_under_exposure_measure.py

HensoldtOptronicsCV/ImageQualityAssessment

7bb3af2cd20a32415966304c8fa3acb77c54f85d

[ "MIT" ]

5

2020-04-18T11:30:47.000Z

2022-03-04T07:05:21.000Z

# MIT License # # Copyright (c) 2020 HENSOLDT # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, pub...

41.818182

137

0.741848

548

3,680

4.844891

0.406934

0.031638

0.021092

0.165348

0.152919

0.112241

0.089642

0.032392

0

0.01485

0.194837

3,680

87

138

42.298851

0.881201

0.655978

0

0.035333

0

1

0.086957

false

0

0.086957

0

0.26087

0.086957

0

null

0

null

0

1

0

f54590a9d9506eac6f07374f1bb10c88ce804b14

2,567

py

Python

tests/test_cascade.py

mathDR/jax-pilco

c6c75cd8d43ba894d8f1da2cf6b7c0eea5e43527

[ "BSD-3-Clause" ]

null

tests/test_cascade.py

mathDR/jax-pilco

c6c75cd8d43ba894d8f1da2cf6b7c0eea5e43527

[ "BSD-3-Clause" ]

null

tests/test_cascade.py

mathDR/jax-pilco

c6c75cd8d43ba894d8f1da2cf6b7c0eea5e43527

[ "BSD-3-Clause" ]

null

from pilco.models.pilco import PILCO import jax.numpy as jnp import numpy as np import objax import os import oct2py import logging oc = oct2py.Oct2Py(logger=oct2py.get_log()) oc.logger = oct2py.get_log("new_log") oc.logger.setLevel(logging.INFO) dir_path = os.path.dirname(os.path.realpath("__file__")) + "/tests/Matla...

27.602151

86

0.638878

389

2,567

4.138817

0.359897

0.040994

0.055901

0.026087

0.261491

0.180124

0.109317

0.068323

0

0.023606

0.224386

2,567

92

87

27.902174

0.785033

0.1418

0

0.029412

0

0.018704

0

0.029412

1

0.014706

false

0

0.102941

0

0.117647

0

null

0

null

0

1

0

f547d48b9bf65696e52de1543f4c4b442a9e0501

2,042

py

Python

python/general-python/create-replica-and-download/createReplicaAndDownload.py

claudeshyaka-esri/developer-support

016940d74f92a78f362900ab5329aa88c27d0a43

[ "Apache-2.0" ]

272

2015-02-11T16:26:39.000Z

2022-03-31T08:47:33.000Z

python/general-python/create-replica-and-download/createReplicaAndDownload.py

claudeshyaka-esri/developer-support

016940d74f92a78f362900ab5329aa88c27d0a43

[ "Apache-2.0" ]

254

2015-02-11T01:12:35.000Z

2021-04-22T22:14:20.000Z

python/general-python/create-replica-and-download/createReplicaAndDownload.py

claudeshyaka-esri/developer-support

016940d74f92a78f362900ab5329aa88c27d0a43

[ "Apache-2.0" ]

211

2015-02-10T00:09:07.000Z

2022-02-24T12:27:40.000Z

import urllib, urllib2, json, time, os username = "username" #CHANGE password = "password" #CHANGE replicaURL = "feature service url/FeatureServer/createReplica" #CHANGE replicaLayers = [0] ...

34.610169

85

0.642018

203

2,042

6.448276

0.463054

0.068755

0.064171

0.055004

0.157372

0.082506

0

0.006888

0.217924

2,042

58

86

35.206897

0.812774

0.014691

0

0.117647

0

0.261086

0.028401

0

1

0.019608

false

0.039216

0.019608

0

0.058824

0.137255

0

null

0

null

0

1

0

f54e716dfa472cc32b79479172fc0cb1532d563d

1,028

py

Python

setup.py

henryk/byro-cnss

77cc4d34a521879f9f225b473964b7384db306b1

[ "Apache-2.0" ]

null

setup.py

henryk/byro-cnss

77cc4d34a521879f9f225b473964b7384db306b1

[ "Apache-2.0" ]

null

setup.py

henryk/byro-cnss

77cc4d34a521879f9f225b473964b7384db306b1

[ "Apache-2.0" ]

null

import os from distutils.command.build import build from django.core import management from setuptools import find_packages, setup try: with open(os.path.join(os.path.dirname(__file__), 'README.rst'), encoding='utf-8') as f: long_description = f.read() except: long_description = '' class CustomBuild...

23.363636

92

0.696498

127

1,028

5.496063

0.622047

0.08596

0

0.005848

0.168288

1,028

43

93

23.906977

0.810526

0

0.263619

0.033074

0

1

0.029412

false

0

0.117647

0

0.176471

0

null

0

null

0

1

0

f54f18f6eb1da6e577537fa0c7b336cc4d1057b5

2,181

py

Python

utils/tensor_utils_test.py

zhuchen03/federated

6bbcdcb856759aa29daa9a510e7d5f34f6915010

[ "Apache-2.0" ]

2

2021-10-19T13:55:11.000Z

2021-11-11T11:26:05.000Z

utils/tensor_utils_test.py

zhuchen03/federated

6bbcdcb856759aa29daa9a510e7d5f34f6915010

[ "Apache-2.0" ]

2

2021-11-10T20:22:35.000Z

2022-02-10T04:44:40.000Z

utils/tensor_utils_test.py

zhuchen03/federated

6bbcdcb856759aa29daa9a510e7d5f34f6915010

[ "Apache-2.0" ]

1

2021-03-09T09:48:56.000Z

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

32.552239

79

0.64099

318

2,181

4.261006

0.367925

0.023616

0.019926

0.01476

0.37786

0.368266

0.339483

0.278967

0.253875

0

0.030806

0.226043

2,181

66

80

33.045455

0.771919

0.262265

0

0.285714

0

0.065204

0

0.142857

1

0.071429

false

0

0.071429

0

0.166667

0

null

0

null

0

1

0

f54f50b36cac1b6f41d6778991e01f0570bbafab

3,426

py

Python

autonmap/__main__.py

zeziba/AUTONMAP

50a2ae5f0731bc919ccb8978c619d1432b447286

[ "Apache-2.0" ]

null

autonmap/__main__.py

zeziba/AUTONMAP

50a2ae5f0731bc919ccb8978c619d1432b447286

[ "Apache-2.0" ]

null

autonmap/__main__.py

zeziba/AUTONMAP

50a2ae5f0731bc919ccb8978c619d1432b447286

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import logging.handlers import sys from sys import argv, modules from os.path import join from autonmap import cron_scheduler from autonmap import launch_client from autonmap import launch_server from autonmap.server import server_config as sconfig """ This module allows autonmap to interact w...

35.6875

98

0.537069

376

3,426

4.787234

0.343085

0.033333

0.026667

0.037778

0.205556

0.181111

0.09

0

0.008441

0.342966

3,426

95

99

36.063158

0.791204

0.025102

0

0.166667

0

0.151032

0.020013

0

1

0.055556

false

0.027778

0.111111

0

0.180556

0.111111

0

null

0

null

0

1

0

f54ff4d5dcb3a333a55f6c56d21b89f6d29ae597

6,166

py

Python

src/logic_gradient.py

Einzberg/BattlesnakeFun

4276144c3ccfab66e7c9df4717681e305861f76a

[ "MIT" ]

null

src/logic_gradient.py

Einzberg/BattlesnakeFun

4276144c3ccfab66e7c9df4717681e305861f76a

[ "MIT" ]

null

src/logic_gradient.py

Einzberg/BattlesnakeFun

4276144c3ccfab66e7c9df4717681e305861f76a

[ "MIT" ]

null

# import random # from typing import List, Dict import numpy as np # import matplotlib.pyplot as plt def get_info() -> dict: """ This controls your Battlesnake appearance and author permissions. For customization options, see https://docs.battlesnake.com/references/personalization TIP: If you open you...

28.155251

105

0.509569

787

6,166

3.875476

0.236341

0.026557

0.020656

0.019672

0.342623

0.308197

0.224918

0.217049

0.198689

0

0.043478

0.306195

6,166

218

106

28.284404

0.669472

0.111255

0

0.39779

0

0.142463

0.016013

0

0.004587

0

1

0.044199

false

0

0.005525

0

0.082873

0.01105

0

null

0

null

0

1

0

f5538c72ced0bc74b5e82bee2c3ce5f0a35952cd

11,836

py

Python

nuclear/help/help.py

igrek51/glue

6726ba977a21e58b354a5c97f68639f84184be7a

[ "MIT" ]

4

2019-07-04T20:41:06.000Z

2020-04-23T18:17:33.000Z

nuclear/help/help.py

igrek51/cliglue

6726ba977a21e58b354a5c97f68639f84184be7a

[ "MIT" ]

null

nuclear/help/help.py

igrek51/cliglue

6726ba977a21e58b354a5c97f68639f84184be7a

[ "MIT" ]

null

import os import sys from dataclasses import dataclass, field from typing import List, Set, Optional from nuclear.builder.rule import PrimaryOptionRule, ParameterRule, FlagRule, CliRule, SubcommandRule, \ PositionalArgumentRule, ManyArgumentsRule, DictionaryRule, ValueRule from nuclear.parser.context import RunCon...

35.22619

119

0.710037

1,447

11,836

5.508639

0.124395

0.020073

0.016058

0.008155

0.304981

0.233973

0.176766

0.144524

0.12558

0

0.000518

0.184099

11,836

335

120

35.331343

0.824894

0.008026

0

0.141667

0

0.039278

0.001874

0

1

0.154167

false

0

0.045833

0.041667

0.416667

0.025

0

null

0

null

0

1

0

f553c00e89c0f5a71a1f1863c8dfb6394c78b550

1,997

py

Python

Apps/Engines/Nuke/NukeTools_1.01/Python/LookAt.py

geoffroygivry/CyclopsVFX-Unity

6ab9ab122b6c3e6200e90d49a0c2bf774e53d985

[ "MIT" ]

17

2017-06-27T04:14:42.000Z

2022-03-07T03:37:44.000Z

Apps/Engines/Nuke/NukeTools_1.01/Python/LookAt.py

geoffroygivry/Cyclops-VFX

6ab9ab122b6c3e6200e90d49a0c2bf774e53d985

[ "MIT" ]

2

2017-06-14T04:17:51.000Z

2018-08-23T20:12:44.000Z

Apps/Engines/Nuke/NukeTools_1.01/Python/LookAt.py

geoffroygivry/CyclopsVFX-Unity

6ab9ab122b6c3e6200e90d49a0c2bf774e53d985

[ "MIT" ]

2

2019-03-18T06:18:33.000Z

2019-08-14T21:07:53.000Z

#The MIT License (MIT) # #Copyright (c) 2015 Geoffroy Givry # #Permission is hereby granted, free of charge, to any person obtaining a copy #of this software and associated documentation files (the "Software"), to deal #in the Software without restriction, including without limitation the rights #to use, copy, m...

46.44186

263

0.725588

288

1,997

5.03125

0.475694

0.060732

0.030366

0.045549

0.10766

0.078675

0

0.010837

0.168252

1,997

43

264

46.44186

0.861529

0.530796

0

0.133333

0.417143

0.336

0

1

0.066667

false

0

0.066667

0

0.133333

0

null

0

null

0

1

0

f5553f600d9e51ffdced6978931c7ede4d5b363d

7,458

py

Python

src/extract_features.py

AymericBebert/MusicLearning

8fbc931330029baa8ae9cfcfa20c79e41b5eca8f

[ "MIT" ]

null

src/extract_features.py

AymericBebert/MusicLearning

8fbc931330029baa8ae9cfcfa20c79e41b5eca8f

[ "MIT" ]

null

src/extract_features.py

AymericBebert/MusicLearning

8fbc931330029baa8ae9cfcfa20c79e41b5eca8f

[ "MIT" ]

null

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

34.850467

121

0.616519

972

7,458

4.659465

0.248971

0.022963

0.018547

0.021197

0.210863

0.163612

0.121881

0.093619

0.071097

0.048134

0

0.027274

0.252749

7,458

213

122

35.014085

0.785394

0.349021

0

0.018519

0

0.015241

0

1

0.111111

false

0

0.037037

0

0.268519

0

null

0

null

0

1

0

f5592d87345b5a481da2afaed4ea4665c57dc09d

2,435

py

Python

tools/blender/io_export_curve.py

waskosky/patches

f80a33eb6fd029b905aca55894ec7a7526b89042

[ "MIT" ]

187

2015-09-21T15:08:57.000Z

2017-07-31T08:01:22.000Z

tools/blender/io_export_curve.py

waskosky/patches

f80a33eb6fd029b905aca55894ec7a7526b89042

[ "MIT" ]

1,533

2015-09-15T23:49:33.000Z

2017-08-01T08:52:00.000Z

tools/blender/io_export_curve.py

waskosky/patches

f80a33eb6fd029b905aca55894ec7a7526b89042

[ "MIT" ]

52

2015-10-11T10:42:50.000Z

2017-07-16T22:31:42.000Z

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

24.59596

85

0.657906

334

2,435

4.664671

0.416168

0.023107

0.048139

0.057766

0.089859

0.05905

0

0.009425

0.172074

2,435

98

86

24.846939

0.763393

0.085832

0

0.060606

0

0.17027

0

1

0.090909

false

0

0.090909

0.015152

0.378788

0.015152

0

null

0

null

0

1

0

f55a03a501c8713245dc76b3760e3ffdd100d23e

1,857

py

Python

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

tufeigunchu/orbit

407354cf7c9159ff7e3177c603a6850b95509e3a

[ "BSD-2-Clause" ]

1,847

2020-03-24T19:01:42.000Z

2022-03-31T13:18:57.000Z

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

tufeigunchu/orbit

407354cf7c9159ff7e3177c603a6850b95509e3a

[ "BSD-2-Clause" ]

1,100

2020-03-24T19:41:13.000Z

2022-03-31T14:27:09.000Z

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

tufeigunchu/orbit

407354cf7c9159ff7e3177c603a6850b95509e3a

[ "BSD-2-Clause" ]

228

2020-03-25T05:32:08.000Z

2022-03-31T11:27:39.000Z

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

36.411765

82

0.622509

221

1,857

5.081448

0.411765

0.066785

0.067676

0.061443

0.186109

0.106857

0.048085

0

0.016563

0.219709

1,857

50

83

37.14

0.758454

0

0.217555

0.084006

0

1

0.142857

false

0

0.02381

0

0.428571

0

null

0

null

0

1

0

f55c8c9f40e1cf4319ff4ee1c9422d7c3883f725

524

py

Python

animation/common.py

codyly/locomotion-by-mann

89139466829ef7802bf645f865e335d4cda444e4

[ "MIT" ]

null

animation/common.py

codyly/locomotion-by-mann

89139466829ef7802bf645f865e335d4cda444e4

[ "MIT" ]

null

animation/common.py

codyly/locomotion-by-mann

89139466829ef7802bf645f865e335d4cda444e4

[ "MIT" ]

null

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

23.818182

54

0.593511

106

524

2.792453

0.311321

0.148649

0.121622

0.081081

0.398649

0.074324

0

0.118644

0.211832

524

21

55

24.952381

0.598063

0

0.06163

0

1

0

false

0

0.066667

0

0.066667

0

null

0

null

0

1

0

f55e3e29a41fea6104e2a766525f7a160ac34c13

5,900

py

Python

Kinematic/forward.py

DDDong2666/tum-adlr-ws20-02

2e439886e0287777589cd276d614fd03bea4ed0c

[ "MIT" ]

null

Kinematic/forward.py

DDDong2666/tum-adlr-ws20-02

2e439886e0287777589cd276d614fd03bea4ed0c

[ "MIT" ]

null

Kinematic/forward.py

DDDong2666/tum-adlr-ws20-02

2e439886e0287777589cd276d614fd03bea4ed0c

[ "MIT" ]

null

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

33.908046

132

0.597119

919

5,900

3.545158

0.162133

0.039288

0.01504

0.014733

0.499079

0.40884

0.372621

0.305095

0.26949

0.232044

0

0.021622

0.247458

5,900

173

133

34.104046

0.712162

0.134068

0

0.141304

0

0.001596

0

1

0.184783

false

0

0.032609

0.054348

0.402174

0

null

0

null

0

1

0

f560897ff46b99cf1a7890d1251f2fa26c8a2e3a

977

py

Python

dnslookup.py

r1nzler/dnslookup

74613614b694602244582bfd555ffd8a5dea8bff

[ "MIT" ]

null

dnslookup.py

r1nzler/dnslookup

74613614b694602244582bfd555ffd8a5dea8bff

[ "MIT" ]

null

dnslookup.py

r1nzler/dnslookup

74613614b694602244582bfd555ffd8a5dea8bff

[ "MIT" ]

null

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

27.914286

79

0.518936

126

977

3.968254

0.452381

0.048

0.078

0

0.003096

0.338792

977

34

80

28.735294

0.770898

0.0348

0

0.105319

0

1

0

false

0

0.107143

0

0.107143

0.035714

0

null

0

null

0

1

0

f5609c24bd958aa1dc8093dff8643942d2269130

8,416

py

Python

eval/report.py

DBCobra/CobraBench

d48697248948decc206cfba0a6e40fea8a772ff9

[ "MIT" ]

1

2021-03-03T06:52:50.000Z

eval/report.py

DBCobra/CobraBench

d48697248948decc206cfba0a6e40fea8a772ff9

[ "MIT" ]

1

2021-03-05T09:36:50.000Z

2021-03-08T12:02:53.000Z

eval/report.py

DBCobra/CobraBench

d48697248948decc206cfba0a6e40fea8a772ff9

[ "MIT" ]

1

2021-03-03T06:57:02.000Z

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

33.52988

110

0.557153

1,067

8,416

4.182755

0.182755

0.056688

0.016133

0.434013

0.38203

0.348868

0.337665

0.313018

0

0.017935

0.291112

8,416

250

111

33.664

0.730137

0.028042

0

0.358209

0

0.096403

0.007096

0.014925

0

1

0.034826

false

0

0.034826

0

0.114428

0.079602

0

null

0

null

0

1

0

f560efe52fd0d8fc1e6638e6bf52578a71fd2927

1,821

py

Python

platypush/backend/foursquare.py

RichardChiang/platypush

1777ebb0516118cdef20046a92caab496fa7c6cb

[ "MIT" ]

228

2018-01-30T11:17:09.000Z

2022-03-24T11:22:26.000Z

platypush/backend/foursquare.py

RichardChiang/platypush

1777ebb0516118cdef20046a92caab496fa7c6cb

[ "MIT" ]

167

2017-12-11T19:35:38.000Z

2022-03-27T14:45:30.000Z

platypush/backend/foursquare/__init__.py

BlackLight/runbullet

8d26c8634d2677b4402f0a21b9ab8244b44640db

[ "MIT" ]

16

2018-05-03T07:31:56.000Z

2021-12-05T19:27:37.000Z

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

34.358491

115

0.697968

229

1,821

5.235808

0.366812

0.105088

0.119266

0.127606

0.100083

0.080067

0

0.005563

0.210324

1,821

52

116

35.019231

0.828234

0.250412

0

0.083333

0

0.073563

0.02682

0

1

0.125

false

0

0.166667

0

0.458333

0

null

0

null

0

1

0

f560ffe95556ccc11b3d6d39837b76f47f81ba08

2,980

py

Python

src/data/make_dataset.py

karsti11/caffe_bar_sales_analysis

f7001bbf2d09c1ceeb8aef35322652a8495949ed

[ "MIT" ]

null

src/data/make_dataset.py

karsti11/caffe_bar_sales_analysis

f7001bbf2d09c1ceeb8aef35322652a8495949ed

[ "MIT" ]

null

src/data/make_dataset.py

karsti11/caffe_bar_sales_analysis

f7001bbf2d09c1ceeb8aef35322652a8495949ed

[ "MIT" ]

null

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

40.27027

125

0.632215

412

2,980

4.262136

0.322816

0.102506

0.062642

0.04328

0.249431

0.216401

0.207859

0.177107

0

0.021343

0.245302

2,980

74

126

40.27027

0.759449

0.137248

0

0.12

0

0.13568

0.016218

0

1

0.08

false

0

0.1

0

0.28

0.08

0

null

0

null

0

1

0

f565e620ce2b4fec57d532c3907bb966211865f1

5,858

py

Python

hard-gists/5181631/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

21

2019-07-08T08:26:45.000Z

2022-01-24T23:53:25.000Z

hard-gists/5181631/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

5

2019-06-15T14:47:47.000Z

2022-02-26T05:02:56.000Z

hard-gists/5181631/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

17

2019-05-16T03:50:34.000Z

2021-01-14T14:35:12.000Z

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

59.171717

177

0.669

787

5,858

4.740788

0.205845

0.050121

0.048244

0.033503

0.187617

0.132672

0.106674

0.0922

0.056821

0

0.026788

0.209799

5,858

99

178

59.171717

0.779218

0.044725

0

0.087912

0

0.007688

0

0.003576

0

1

0.186813

false

0

0.043956

0.010989

0.43956

0

null

0

null

0

1

0

f56710ff85a90ed722496b29dbe8a6afdffc8f9d

2,291

py

Python

neural_structured_learning/tools/graph_builder.py

eustomaqua/neural-structured-learning

e63a9e7ef435caaf6d70c04b6529e830bf47239d

[ "Apache-2.0" ]

null

neural_structured_learning/tools/graph_builder.py

eustomaqua/neural-structured-learning

e63a9e7ef435caaf6d70c04b6529e830bf47239d

[ "Apache-2.0" ]

null

neural_structured_learning/tools/graph_builder.py

eustomaqua/neural-structured-learning

e63a9e7ef435caaf6d70c04b6529e830bf47239d

[ "Apache-2.0" ]

null

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

34.19403

80

0.717154

334

2,291

4.757485

0.48503

0.03776

0.030208

0.020138

0.06545

0

0.011438

0.198603

2,291

66

81

34.712121

0.854031

0.430816

0

0.066667

0

0.136743

0.022965

0

1

0.033333

false

0

0.233333

0

0.266667

0.033333

0

null

0

null

0

1

0

f56a3c3291794639e68ab580cfe7cfde7175ba0c

11,672

py

Python

main/dataset.py

MarcSerraPeralta/rec-flows

d05c3eca944f2228cffa575698ee5b010e83f167

[ "MIT" ]

null

main/dataset.py

MarcSerraPeralta/rec-flows

d05c3eca944f2228cffa575698ee5b010e83f167

[ "MIT" ]

null

main/dataset.py

MarcSerraPeralta/rec-flows

d05c3eca944f2228cffa575698ee5b010e83f167

[ "MIT" ]

null

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

36.936709

199

0.706306

1,731

11,672

4.60312

0.125361

0.035894

0.011295

0.015813

0.554342

0.53627

0.515813

0.500753

0.417043

0.40989

0

0.020367

0.146076

11,672

315

200

37.053968

0.779071

0.10598

0

0.432432

0

0.123779

0.004886

0

1

0.063063

false

0

0.031532

0.022523

0.171171

0.067568

0

null

0

null

0

1

0

f56aef37015ae46f5772b8eb36d680a12e113fe7

892

py

Python

back/LocationParser.py

DimaYurchenko/postdata-hackathon-app

f688491b27db991946fd104102a7912c1b104ea4

[ "MIT" ]

null

back/LocationParser.py

DimaYurchenko/postdata-hackathon-app

f688491b27db991946fd104102a7912c1b104ea4

[ "MIT" ]

null

back/LocationParser.py

DimaYurchenko/postdata-hackathon-app

f688491b27db991946fd104102a7912c1b104ea4

[ "MIT" ]

null

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

27.030303

89

0.602018

88

892

6.079545

0.477273

0.029907

0

0.298206

892

32

90

27.875

0.854633

0.034753

0

0.060606

0

1

0.047619

false

0

0.142857

0

0.238095

0

null

0

null

0

1

0

f56b9c719e339cbfa0c390fd236dda0208636e27

7,786

py

Python

nfp/servicos/controles/controle_execucao.py

FranciscoACLima/Robo_NFP_Selenium

7702854f94355fee8d78a4c04fc134cf099db5f0

[ "MIT" ]

null

nfp/servicos/controles/controle_execucao.py

FranciscoACLima/Robo_NFP_Selenium

7702854f94355fee8d78a4c04fc134cf099db5f0

[ "MIT" ]

16

2020-09-05T16:03:40.000Z

2022-03-19T17:42:05.000Z

nfp/servicos/controles/controle_execucao.py

FranciscoACLima/Robo_NFP_Selenium

7702854f94355fee8d78a4c04fc134cf099db5f0

[ "MIT" ]

null

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

32.041152

96

0.595171

852

7,786

5.278169

0.183099

0.042695

0.048922

0.021348

0.500778

0.480987

0.448521

0.409162

0.38648

0.320881

0

0.00037

0.305934

7,786

242

97

32.173554

0.831791

0.058053

0

0.509901

0

0.034158

0.003143

0

1

0.084158

false

0.009901

0.024752

0

0.242574

0.014851

0

null

0

null

0

1

0

f56e6fbda99325c6509cd93be29f620a11819e74

2,887

py

Python

app.py

PrismaPhonic/PetFinder-Exercise

a4d2c6293873299f9d6632158bca837a830fac98

[ "MIT" ]

null

app.py

PrismaPhonic/PetFinder-Exercise

a4d2c6293873299f9d6632158bca837a830fac98

[ "MIT" ]

null

app.py

PrismaPhonic/PetFinder-Exercise

a4d2c6293873299f9d6632158bca837a830fac98

[ "MIT" ]

null

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

29.459184

114

0.66505

362

2,887

5.146409

0.303867

0.042941

0.030596

0.022544

0.180354

0.085883

0.060118

0

0.003886

0.197783

2,887

97

115

29.762887

0.800518

0.078282

0

0.16129

0

0.137262

0.020152

0

1

0.048387

false

0

0.112903

0

0.403226

0

null

0

null

0

1

0

f56f1c7317138379cc46e4bc9738fe0615922706

17,810

py

Python

pyrolite/util/resampling.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

69

2019-02-25T00:17:53.000Z

2022-03-31T17:26:48.000Z

pyrolite/util/resampling.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

68

2018-07-20T09:01:01.000Z

2022-03-31T16:28:36.000Z

pyrolite/util/resampling.py

bomtuckle/pyrolite

c0af0ade14ff26b4e9fdd5a033b27e73df085c55

[ "BSD-3-Clause" ]

24

2018-10-02T04:32:10.000Z

2021-11-10T08:24:17.000Z

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

40.022472

131

0.614935

2,161

17,810

4.961592

0.216104

0.013057

0.012684

0.006995

0.181309

0.13822

0.100634

0.079276

0.042529

0.035068

0

0.006952

0.289276

17,810

444

132

40.112613

0.840101

0.488995

0

0.204082

0

0.039005

0

0.002252

0

1

0.030612

false

0.005102

0.035714

0.005102

0.102041

0

null

0

null

0

1

0

f570043bcd7ec43faf876327124a5a21c6d01798

1,809

py

Python

src/examples/stimuli-representation.py

cwardell97/learn-hippo-1

90280c614fb94aea82a60c2ed071db8068a37d5c

[ "MIT" ]

null

src/examples/stimuli-representation.py

cwardell97/learn-hippo-1

90280c614fb94aea82a60c2ed071db8068a37d5c

[ "MIT" ]

null

src/examples/stimuli-representation.py

cwardell97/learn-hippo-1

90280c614fb94aea82a60c2ed071db8068a37d5c

[ "MIT" ]

null

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

28.265625

74

0.666667

331

1,809

3.425982

0.347432

0.063492

0.04321

0.057319

0.092593

0.067901

0.049383

0

0.026631

0.169707

1,809

63

75

28.714286

0.728362

0.016584

0

0.159261

0.017311

0

1

0

false

0

0.078431

0

0.078431

0.039216

0

null

0

null

0

1

0

f571719391b271f64aa33623e91452b85398b280

704

py

Python

eventbusk/exceptions.py

Airbase/eventbusk

704d50a4c9c1f7d332dba93ee04ab07afa59d216

[ "BSD-3-Clause" ]

null

eventbusk/exceptions.py

Airbase/eventbusk

704d50a4c9c1f7d332dba93ee04ab07afa59d216

[ "BSD-3-Clause" ]

1

2021-06-13T18:08:50.000Z

eventbusk/exceptions.py

Airbase/eventbusk

704d50a4c9c1f7d332dba93ee04ab07afa59d216

[ "BSD-3-Clause" ]

null

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

16.761905

79

0.661932

71

704

6.450704

0.535211

0.165939

0.048035

0.10917

0

0.238636

704

41

80

17.170732

0.854478

0.382102

0

0.15625

0

1

0

false

0

0.083333

0

0.5

0

null

0

null

0

1

0

f572b933b1b5aed70aca3d4ac6ade4a2e8fe1e58

9,580

py

Python

sparse_ct/example/dgr_example.py

mozanunal/SparseCT

97d7f06c0414f934c7fa36023adcf9fe4c071eaf

[ "MIT" ]

11

2020-11-01T11:35:30.000Z

2022-03-30T02:19:52.000Z

sparse_ct/example/dgr_example.py

mozanunal/SparseCT

97d7f06c0414f934c7fa36023adcf9fe4c071eaf

[ "MIT" ]

8

2020-12-13T12:17:38.000Z

2021-12-21T21:04:27.000Z

sparse_ct/example/dgr_example.py

mozanunal/SparseCT

97d7f06c0414f934c7fa36023adcf9fe4c071eaf

[ "MIT" ]

null

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

38.167331

93

0.423173

1,101

9,580

3.333333

0.131698

0.069482

0.029428

0.034332

0.571662

0.5297

0.528338

0.435967

0.394823

0

0.113128

0.482359

9,580

250

94

38.32

0.626941

0

0.537445

0

0.106934

0.066416

0

1

0.004405

false

0

0.017621

0

0.022026

0

null

0

null

0

1

0

f5738865aace2f3446a95a35c7f51b460031ae67

1,607

py

Python

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

KrisBestTech/Python-Basics

10bd961bf16d15ddb94bbea53327b4fc5bfdba4c

[ "MIT" ]

null

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

KrisBestTech/Python-Basics

10bd961bf16d15ddb94bbea53327b4fc5bfdba4c

[ "MIT" ]

null

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

KrisBestTech/Python-Basics

10bd961bf16d15ddb94bbea53327b4fc5bfdba4c

[ "MIT" ]

null

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

21.716216

71

0.47542

184

1,607

4

0.255435

0.146739

0.086957

0.130435

0.516304

0.111413

0

0.044103

0.393279

1,607

73

72

22.013699

0.710769

0

0.461538

0

0.144368

0

1

0

false

0

0.076923

0

null

0

null

0

1

0

f573e98c3617ee161a5bc2f46171d1b7f2905fc3

1,368

py

Python

trajectories/tests/test_DTW.py

donsheehy/geomcps

b4ef5dbf0fed21927485b01580b724272f84d9ed

[ "MIT" ]

null

trajectories/tests/test_DTW.py

donsheehy/geomcps

b4ef5dbf0fed21927485b01580b724272f84d9ed

[ "MIT" ]

null

trajectories/tests/test_DTW.py

donsheehy/geomcps

b4ef5dbf0fed21927485b01580b724272f84d9ed

[ "MIT" ]

null

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

33.365854

93

0.54386

195

1,368

3.74359

0.215385

0.164384

0.093151

0.087671

0.490411

0.424658

0.353425

0

0.106046

0.262427

1,368

40

94

34.2

0.617443

0

0.388889

0

0.005848

0

0.222222

1

0.083333

false

0

0.111111

0

0.222222

0

null

0

null

0

1

0

f5792851b55e8b741f344366679574e04969bc93

1,022

py

Python

backend/repositories/bookmark_repository.py

heshikirihasebe/fastapi-instagram-clone

7bc265a62160171c5c5c1b2f18b3c86833cb64e7

[ "MIT" ]

1

2022-02-08T19:35:22.000Z

backend/repositories/bookmark_repository.py

heshikirihasebe/fastapi-instagram-clone

7bc265a62160171c5c5c1b2f18b3c86833cb64e7

[ "MIT" ]

null

backend/repositories/bookmark_repository.py

heshikirihasebe/fastapi-instagram-clone

7bc265a62160171c5c5c1b2f18b3c86833cb64e7

[ "MIT" ]

null

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

31.9375

116

0.720157

143

1,022

4.937063

0.258741

0.110482

0.056657

0.067989

0.405099

0.311615

0.286119

0.223796

0

0.167319

1,022

31

117

32.967742

0.829612

0.040117

0

0.26087

0

1

0

false

0

0.130435

0

0.217391

0

null

0

null

0

1

0

f57b07d03e45e8f7fc9d99adb6fc72590a4d7edd

3,326

py

Python

D3_cgi/support/uman.py

slzjw26/learn_Pthon

9c4053ec1ea4c32a01fa2658499d8e53a4a532f3

[ "MIT" ]

null

D3_cgi/support/uman.py

slzjw26/learn_Pthon

9c4053ec1ea4c32a01fa2658499d8e53a4a532f3

[ "MIT" ]

null

D3_cgi/support/uman.py

slzjw26/learn_Pthon

9c4053ec1ea4c32a01fa2658499d8e53a4a532f3

[ "MIT" ]

null

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

27.262295

77

0.591401

422

3,326

4.575829

0.334123

0.069912

0.068876

0.047644

0.179182

0.156396

0.086484

0.059037

0

0.013638

0.250451

3,326

121

78

27.487603

0.760931

0.164762

0

0.141026

0

0.192963

0

1

0.051282

false

0.025641

0.038462

0

0.205128

0.025641

0

null

0

null

0

1

0

f57c524ea058c9eaac99f335f5d9b80e94762f25

2,024

py

Python

chmm_files/chmm_gen.py

IvanTyulyandin/Lin_alg_Viterbi

0359c33ed67f8748cd51e8852555ea2fa35b9365

[ "Apache-2.0" ]

null

chmm_files/chmm_gen.py

IvanTyulyandin/Lin_alg_Viterbi

0359c33ed67f8748cd51e8852555ea2fa35b9365

[ "Apache-2.0" ]

null

chmm_files/chmm_gen.py

IvanTyulyandin/Lin_alg_Viterbi

0359c33ed67f8748cd51e8852555ea2fa35b9365

[ "Apache-2.0" ]

null

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

32.126984

77

0.64081

289

2,024

4.211073

0.273356

0.059162

0.044371

0.061627

0.211175

0.082991

0.047658

0

0.009766

0.241107

2,024

62

78

32.645161

0.782552

0.148221

0

0.019837

0

1

0.02439

false

0

0.02439

0

0.073171

0

null

0

null

0

1

0

f580e360a82ba7dad75ab77286f0111cf9d43ab3

392

py

Python

new_server.py

19bcs2410/flask_updated-web-chat

c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e

[ "MIT" ]

null

new_server.py

19bcs2410/flask_updated-web-chat

c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e

[ "MIT" ]

null

new_server.py

19bcs2410/flask_updated-web-chat

c72644a2b1feb2c6ba3b6c1c8d0ec53817e6d05e

[ "MIT" ]

null

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

17.818182

57

0.660714

47

392

5.489362

0.531915

0.093023

0.127907

0

0.012658

0.193878

392

21

58

18.666667

0.803797

0

0.333333

0

0.320755

0

1

0.2

false

0

0.133333

0

0.333333

0.2

0

null

0

null

0

1

0

f5869e041f8cfc604cdaeae8bc529488e18f09e4

3,812

py

Python

zarr-dataset/test_anime_faces.py

tinon224/experiments

cbe066fb9eec20f290eaff5bb19131616af61bee

[ "MIT" ]

103

2015-03-28T14:32:44.000Z

2021-03-31T08:20:24.000Z

zarr-dataset/test_anime_faces.py

tinon224/experiments

cbe066fb9eec20f290eaff5bb19131616af61bee

[ "MIT" ]

6

2016-05-17T13:31:56.000Z

2020-11-13T17:19:19.000Z

zarr-dataset/test_anime_faces.py

tinon224/experiments

cbe066fb9eec20f290eaff5bb19131616af61bee

[ "MIT" ]

106

2015-05-10T14:29:06.000Z

2021-07-13T08:19:19.000Z

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

33.147826

88

0.597587

485

3,812

4.564948

0.294845

0.020325

0.012195

0.01626

0.248419

0.195122

0.169828

0.143631

0.107498

0.072267

0

0.027646

0.278856

3,812

114

89

33.438596

0.777737

0

0.12766

0

0.035414

0.013641

0

0.010638

1

0.06383

false

0

0.085106

0.010638

0.202128

0.010638

0

null

0

null

0

1

0

f586db857714c3a406cc8d011335a90b361a86d4

1,066

py

Python

pepper/spiders/pepper.py

Guilehm/dr-pepper-crawler

0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2

[ "MIT" ]

null

pepper/spiders/pepper.py

Guilehm/dr-pepper-crawler

0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2

[ "MIT" ]

2

2021-03-31T19:47:28.000Z

2021-06-08T20:39:41.000Z

pepper/spiders/pepper.py

Guilehm/dr-pepper-crawler

0cc02f8b9bf9a739cb1644d4ef4c0c566428f6a2

[ "MIT" ]

null

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

28.052632

93

0.541276

113

1,066

5.044248

0.513274

0.091228

0.1

0.115789

0.175439

0.122807

0

0.001339

0.29925

1,066

37

94

28.810811

0.761714

0

0.068966

0

0.231707

0.167917

0

1

0.034483

false

0

0.103448

0

0.241379

0

null

0

null

0

1

0

f5885ba233a8e2203989f8de45355db074bbea32

4,334

py

Python

spotseeker_server/test/search/uw_noise_level.py

uw-it-aca/spotseeker_server

1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c

[ "Apache-2.0" ]

5

2015-03-12T00:36:33.000Z

2022-02-24T16:41:25.000Z

spotseeker_server/test/search/uw_noise_level.py

uw-it-aca/spotseeker_server

1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c

[ "Apache-2.0" ]

133

2016-02-03T23:54:45.000Z

2022-03-30T21:33:58.000Z

spotseeker_server/test/search/uw_noise_level.py

uw-it-aca/spotseeker_server

1d8a5bf98b76fdcb807ed4cd32f939bb7e9aa66c

[ "Apache-2.0" ]

6

2015-01-07T23:21:15.000Z

2017-12-07T08:26:33.000Z

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

42.910891

79

0.682972

527

4,334

5.358634

0.220114

0.037181

0.027266

0.03966

0.415368

0.360836

0.342422

0.330737

0

0.002384

0.225658

4,334

100

80

43.34

0.839094

0.171435

0

0.185714

0

0.07631

0.028474

0

0.114286

1

0.171429

false

0

0.085714

0.014286

0.314286

0

null

0

null

0

1

0

f58db2e3a8108081fdad6ca36c2b07a1f84d614d

1,476

py

Python

_03_AttributesAndMethodsLab/_02_Integer.py

Andrey-V-Georgiev/PythonOOP

73aabdccace5ce7183c39e2f5674f7e17475b1cc

[ "MIT" ]

1

2021-06-30T10:34:38.000Z

_03_AttributesAndMethodsLab/_02_Integer.py

Andrey-V-Georgiev/PythonOOP

73aabdccace5ce7183c39e2f5674f7e17475b1cc

[ "MIT" ]

null

_03_AttributesAndMethodsLab/_02_Integer.py

Andrey-V-Georgiev/PythonOOP

73aabdccace5ce7183c39e2f5674f7e17475b1cc

[ "MIT" ]

null

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

25.448276

89

0.554201

185

1,476

4.254054

0.378378

0.045743

0.068615

0.043202

0.041931

0

0.025484

0.335366

1,476

57

90

25.894737

0.776758

0

0.272727

0

0.063008

0

1

0.136364

false

0.022727

0.386364

0.068182

0

null

0

null

0

1

0

f58e82435946520f98ad569c02443f0eda8332d6

1,988

py

Python

bot/finance.py

kianhean/ShiokBot

948417ead579d7476350592f0a960c2c0ea8b757

[ "BSD-2-Clause" ]

6

2017-04-06T02:55:16.000Z

2020-01-27T05:14:12.000Z

bot/finance.py

kianhean/ShiokBot

948417ead579d7476350592f0a960c2c0ea8b757

[ "BSD-2-Clause" ]

13

2016-09-12T14:24:22.000Z

2021-10-22T01:19:43.000Z

bot/finance.py

kianhean/ShiokBot

948417ead579d7476350592f0a960c2c0ea8b757

[ "BSD-2-Clause" ]

1

2016-09-12T14:01:49.000Z

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

33.694915

153

0.639336

311

1,988

3.932476

0.379421

0.107931

0.098119

0.139002

0

0.059291

0.177062

1,988

58

154

34.275862

0.688264

0.040241

0

0.05

0

0.05

0.291645

0

1

0.075

false

0

0.1

0.025

0.25

0

null

0

null

0

1

0

f5931d77f9a036d1b90d5e9b889749394d2eff5e

1,124

py

Python

pipeline/filterstories.py

Xirider/BookGen

6eaffa936aea3215944dbfbf7ec92398b6e44587

[ "MIT" ]

1

2021-05-31T09:40:19.000Z

pipeline/filterstories.py

Xirider/BookGen

6eaffa936aea3215944dbfbf7ec92398b6e44587

[ "MIT" ]

1

2021-06-30T14:35:22.000Z

pipeline/filterstories.py

Xirider/BookGen

6eaffa936aea3215944dbfbf7ec92398b6e44587

[ "MIT" ]

null

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

25.545455

102

0.572954

133

1,124

4.699248

0.413534

0.0704

0.0416

0.048

0

0.015152

0.295374

1,124

44

103

25.545455

0.77399

0.011566

0

0.142857

0

0.085586

0

1

0.035714

false

0

0.035714

0

0.107143

0.071429

0

null

0

null

0

1

0

f594558a69e840af8885fc68a994d40b44b65eaf

1,169

py

Python

src/data/CIFAR10_utils.py

namanwahi/Transfer-Learning

93b9f664fd727a93e0b09b859a20d863602ec743

[ "MIT" ]

null

src/data/CIFAR10_utils.py

namanwahi/Transfer-Learning

93b9f664fd727a93e0b09b859a20d863602ec743

[ "MIT" ]

null

src/data/CIFAR10_utils.py

namanwahi/Transfer-Learning

93b9f664fd727a93e0b09b859a20d863602ec743

[ "MIT" ]

null

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

33.4

107

0.718563

151

1,169

5.390728

0.437086

0.014742

0.018428

0.02457

0.117936

0.014742

0

0.033333

0.153122

1,169

34

108

34.382353

0.788889

0.044482

0

0.035874

0

1

0.115385

false

0

0.230769

0.038462

0.5

0

null

0

null

0

1

0

f5970041908938ed814405d6c8377946dc2070bf

3,680

py

Python

SVHN/svhn.py

Tenant/Densenet-Tensorflow

27dca5a3f1a18ae070a8a6387c8a36b2a4be197e

[ "MIT" ]

null

SVHN/svhn.py

Tenant/Densenet-Tensorflow

27dca5a3f1a18ae070a8a6387c8a36b2a4be197e

[ "MIT" ]

null

SVHN/svhn.py

Tenant/Densenet-Tensorflow

27dca5a3f1a18ae070a8a6387c8a36b2a4be197e

[ "MIT" ]

null

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

32.857143

108

0.6

534

3,680

3.902622

0.170412

0.048944

0.020154

0.042226

0.144434

0.018234

0

0.04681

0.216304

3,680

112

109

32.857143

0.675798

0.045924

0

0.075949

0

0.04675

0.018529

0

1

0.075949

false

0

0.050633

0

0.202532

0.025316

0

null

0

null

0

1

0

f5a27b850295f14cce9d9e2cff15b6524fbbecf8

4,562

py

Python

cogs/automod.py

ZeroTwo36/midna

f78591baacdd32386d9155cb7728de7384016361

[ "MIT" ]

1

2022-01-18T09:53:34.000Z

cogs/automod.py

ZeroTwo36/midna

f78591baacdd32386d9155cb7728de7384016361

[ "MIT" ]

null

cogs/automod.py

ZeroTwo36/midna

f78591baacdd32386d9155cb7728de7384016361

[ "MIT" ]

null

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

38.016667

153

0.622534

583

4,562

4.806175

0.283019

0.053533

0.044968

0.057816

0.450749

0.411492

0.377587

0.287652

0

0.003257

0.259754

4,562

119

154

38.336134

0.826177

0.010083

0

0.355556

0

0.17627

0

1

0.044444

false

0

0.066667

0

0.133333

0.011111

0

null

0

null

0

1

0

f5a40afb92b821bdbd1bca8cea58ac0b9702d2e6

960

py

Python

task07.py

G00387867/pands-problems

01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c

[ "MIT" ]

null

task07.py

G00387867/pands-problems

01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c

[ "MIT" ]

null

task07.py

G00387867/pands-problems

01db5fd26eb0327f6f61da7e06dfe1f2b9f0333c

[ "MIT" ]

null

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

20.869565

68

0.558333

143

960

3.748252

0.447552

0.014925

0.05597

0.070896

0.395522

0.309701

0

0.006211

0.329167

960

45

69

21.333333

0.826087

0.596875

0

0.052342

0

1

0

false

0

0.1

0

null

0

null

0

1

0

f5a59287ceaf7b3b0006e335abd2aae06f9ad302

3,936

py

Python

texext/tests/test_tinypages.py

effigies/texext

545ecf3715ab43bfb95859861fbb17af1fef512d

[ "BSD-2-Clause" ]

null

texext/tests/test_tinypages.py

effigies/texext

545ecf3715ab43bfb95859861fbb17af1fef512d

[ "BSD-2-Clause" ]

null

texext/tests/test_tinypages.py

effigies/texext

545ecf3715ab43bfb95859861fbb17af1fef512d

[ "BSD-2-Clause" ]

null

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

37.485714

71

0.54497

430

3,936

4.85814

0.386047

0.038775

0.028722

0.022978

0.154141

0.101484

0.067018

0

0.01037

0.314024

3,936

104

72

37.846154

0.763333

0.055132

0

0.206897

0

0.401295

0.057713

0

0.045977

1

0.034483

false

0

0.057471

0

0.126437

0.011494

0

null

0

null

0

1

0

f5a8efb033fff75dd7f358a028f0ce20386e8ec9

3,708

py

Python

core.py

marcolcl/django-toolkit

f425cccb6f55f3afce4326e7e79770e5c36c9646

[ "MIT" ]

1

2021-04-07T14:25:01.000Z

core.py

marcolcl/django-toolkit

f425cccb6f55f3afce4326e7e79770e5c36c9646

[ "MIT" ]

5

2021-03-30T14:08:53.000Z

2021-09-22T19:29:42.000Z

core.py

marcolcl/django-toolkit

f425cccb6f55f3afce4326e7e79770e5c36c9646

[ "MIT" ]

null

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

33.107143

128

0.702805

462

3,708

5.502165

0.365801

0.035799

0.033438

0.030685

0.049567

0

0.005189

0.220334

3,708

111

129

33.405405

0.874092

0.423948

0

0.028813

0

1

0.061224

false

0.020408

0.163265

0

0.306122

0

null

0

null

0

1

0

f5aa196ccf6037cd4fcdad669c9f9252c8778f6e

436

py

Python

atcoder/past/past201912_f.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

1

2018-11-12T15:18:55.000Z

atcoder/past/past201912_f.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

atcoder/past/past201912_f.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

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

19.818182

40

0.428899

59

436

3.169492

0.40678

0.128342

0.117647

0

0.023077

0.40367

436

21

41

20.761905

0.696154

0

0.285714

0

1

0

false

0

0.142857

0

null

0

null

0

1

0

190f3d0f2aa0d41a590c2d4d36fe77e3833762f3

2,171

py

Python

setup.py

biodatageeks/pysequila

2fb3b83f008e6b7f874648ea02e7ca307d8519d3

[ "Apache-2.0" ]

1

2020-10-14T23:02:04.000Z

setup.py

biodatageeks/pysequila

2fb3b83f008e6b7f874648ea02e7ca307d8519d3

[ "Apache-2.0" ]

9

2020-11-07T23:33:28.000Z

2021-12-13T09:22:07.000Z

setup.py

biodatageeks/pysequila

2fb3b83f008e6b7f874648ea02e7ca307d8519d3

[ "Apache-2.0" ]

1

2020-11-07T22:35:40.000Z

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

28.194805

76

0.64947

247

2,171

5.582996

0.493927

0.068891

0.090645

0.037708

0

0.008182

0.211884

2,171

76

77

28.565789

0.797779

0.014279

0

0.305061

0.009841

0

1

0.067797

false

0.016949

0.101695

0

0.220339

0

null

0

null

0

1

0

1911d18a99f00abe9dd822c30eace393500445cb

7,785

py

Python

tictactoe.py

smrsassa/tic-tac-toe-pygame

36f738fb94a3a138ef2aa21d409558e3d1680526

[ "MIT" ]

1

2019-10-21T18:19:12.000Z

tictactoe.py

smrsassa/tic-tac-toe-pygame

36f738fb94a3a138ef2aa21d409558e3d1680526

[ "MIT" ]

null

tictactoe.py

smrsassa/tic-tac-toe-pygame

36f738fb94a3a138ef2aa21d409558e3d1680526

[ "MIT" ]

null

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

31.26506

116

0.491715

1,032

7,785

3.699612

0.119186

0.096647

0.044526

0.012572

0.608172

0.536407

0.452331

0.322944

0.295443

0.248298

0

0.111527

0.382659

7,785

248

117

31.391129

0.682896

0

0.451327

0

0.008092

0

1

0.022124

false

0

0.013274

0

0.035398

0

null

0

null

0

1

0

191359000d3e32159cc42150dd476b64da855e66

5,794

py

Python

pyec/distribution/bayes/parser.py

hypernicon/pyec

7072835c97d476fc45ffc3b34f5c3ec607988e6d

[ "MIT" ]

2

2015-03-16T21:18:27.000Z

2017-10-09T19:59:24.000Z

pyec/distribution/bayes/parser.py

hypernicon/pyec

7072835c97d476fc45ffc3b34f5c3ec607988e6d

[ "MIT" ]

null

pyec/distribution/bayes/parser.py

hypernicon/pyec

7072835c97d476fc45ffc3b34f5c3ec607988e6d

[ "MIT" ]

null

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

43.893939

460

0.576458

688

5,794

4.848837

0.287791

0.042866

0.041367

0.041966

0.158873

0.107614

0.056954

0.020384

0

0.008017

0.28961

5,794

132

461

43.893939

0.802478

0.197791

0

0.097826

0

0.028067

0

1

0.032609

false

0

0.032609

0

0.108696

0

null

0

null

0

1

0

191840622ba4f376a7f93c8724514c6d2f52d3bb

1,393

py

Python

africa/views.py

Mutugiii/Pinstagram

40436facfb068eea135c6dffcdaf85028ff803c1

[ "MIT" ]

null

africa/views.py

Mutugiii/Pinstagram

40436facfb068eea135c6dffcdaf85028ff803c1

[ "MIT" ]

6

2021-03-30T13:09:41.000Z

2021-09-08T01:50:42.000Z

africa/views.py

Mutugiii/Pinstagram

40436facfb068eea135c6dffcdaf85028ff803c1

[ "MIT" ]

null

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

30.955556

67

0.65542

153

1,393

5.875817

0.30719

0.03337

0.05673

0.083426

0.173526

0

0.233309

1,393

44

68

31.659091

0.84176

0.08112

0

0.257143

0

0.114715

0

1

0.085714

false

0

0.114286

0

0.314286

0

null

0

null

0

1

0

1918493233bb0f6b63771c2685165671159e3808

509

py

Python

src/chapter4/exercise6.py

group6BCS1/BCS-2021

272b1117922163cde03901cfdd82f8e0cfab9a67

[ "MIT" ]

null

src/chapter4/exercise6.py

group6BCS1/BCS-2021

272b1117922163cde03901cfdd82f8e0cfab9a67

[ "MIT" ]

null

src/chapter4/exercise6.py

group6BCS1/BCS-2021

272b1117922163cde03901cfdd82f8e0cfab9a67

[ "MIT" ]

null

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

23.136364

63

0.563851

71

509

4.014085

0.535211

0.077193

0

0.028818

0.318271

509

21

64

24.238095

0.792507

0.200393

0

0.090452

0

1

0.066667

false

0

0.2

0.066667

0

null

0

null

0

1

0

1918ecc1cb7ed0d73d2876e4710c8c0ffca95358

557

py

Python

phone_numbers.py

EdilOndong/beginner_code

13b05afb25ec2ba4396f5fbe751febe7cb4bdabb

[ "Unlicense" ]

1

2021-09-19T13:33:33.000Z

phone_numbers.py

EdilOndong/beginner_code

13b05afb25ec2ba4396f5fbe751febe7cb4bdabb

[ "Unlicense" ]

null

phone_numbers.py

EdilOndong/beginner_code

13b05afb25ec2ba4396f5fbe751febe7cb4bdabb

[ "Unlicense" ]

null

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

39.785714

125

0.732496

69

557

5.565217

0.449275

0.09375

0.098958

0.130208

0

0.174147

557

14

126

39.785714

0.834783

0

0.201835

0

1

0.1

false

0

0.2

0

0.3

0.1

0

null

0

null

0

1

0

191b02340ae1fb3a92d5b7d4ecfd3b82e78caed3

3,494

py

Python

src/templates/camera.py

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

f6d3e162888bd79d59b771c82ff028df0f70ae11

[ "MIT" ]

8

2019-06-04T16:21:07.000Z

2021-09-05T07:24:20.000Z

src/templates/camera.py

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

f6d3e162888bd79d59b771c82ff028df0f70ae11

[ "MIT" ]

null

src/templates/camera.py

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

f6d3e162888bd79d59b771c82ff028df0f70ae11

[ "MIT" ]

1

2019-06-21T14:37:18.000Z

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

30.920354

121

0.642244

450

3,494

4.891111

0.388889

0.020445

0.022717

0.040891

0.122672

0.101772

0.080872

0.040891

0

0.010922

0.292501

3,494

113

122

30.920354

0.87945

0.360904

0

0.068966

0

0.066667

0

0.00885

0

1

0.103448

false

0.017241

0.155172

0

0.293103

0

null

0

null

0

1

0

191ea83d06729e5bde9055413df2bd0a44ff8fe7

2,669

py

Python

plugins/beacon/alerta_beacon.py

ernadhalilovic/alerta-contrib

e12b5cf1e7f5913f641758032ca0d426c7eb8a08

[ "MIT" ]

null

plugins/beacon/alerta_beacon.py

ernadhalilovic/alerta-contrib

e12b5cf1e7f5913f641758032ca0d426c7eb8a08

[ "MIT" ]

null

plugins/beacon/alerta_beacon.py

ernadhalilovic/alerta-contrib

e12b5cf1e7f5913f641758032ca0d426c7eb8a08

[ "MIT" ]

null

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

35.118421

104

0.573248

291

2,669

5.092784

0.381443

0.032389

0.05668

0.040486

0.064103

0

0.024285

0.305732

2,669

75

105

35.586667

0.775499

0.067066

0

0.122807

0

0.18101

0.008485

0

1

0.070175

false

0

0.140351

0.035088

0.280702

0

null

0

null

0

1

0

192369f557f40b35dc6e1a446089e36a7716438d

488

py

Python

discovery-provider/src/models/reward_manager.py

AudiusProject/audius-protocol

0315c31402121b24faa039e93cea8869d5b80743

[ "Apache-2.0" ]

429

2019-08-14T01:34:07.000Z

2022-03-30T06:31:38.000Z

discovery-provider/src/models/reward_manager.py

AudiusProject/audius-protocol

0315c31402121b24faa039e93cea8869d5b80743

[ "Apache-2.0" ]

998

2019-08-14T01:52:37.000Z

2022-03-31T23:17:22.000Z

discovery-provider/src/models/reward_manager.py

AudiusProject/audius-protocol

0315c31402121b24faa039e93cea8869d5b80743

[ "Apache-2.0" ]

73

2019-10-04T04:24:16.000Z

2022-03-24T16:27:30.000Z

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

25.684211

64

0.719262

54

488

6.240741

0.537037

0.115727

0

0.170082

488

19

65

25.684211

0.832099

0

0.03681

0

1

0.055556

false

0

0.111111

0.055556

0.5

0

null

0

null

0

1

0

1924e772ac06a1b05910f40c7a40911d19ba34ea

2,326

py

Python

plugins/roll.py

Cyame/OkayuTweetBot

5ca257f2faa622f5b88cecc95522f2114e5717fc

[ "MIT" ]

3

2020-04-10T16:47:25.000Z

2020-05-17T14:44:47.000Z

plugins/roll.py

Cyame/OkayuTweetBot

5ca257f2faa622f5b88cecc95522f2114e5717fc

[ "MIT" ]

null

plugins/roll.py

Cyame/OkayuTweetBot

5ca257f2faa622f5b88cecc95522f2114e5717fc

[ "MIT" ]

1

2020-04-12T09:38:22.000Z

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

32.305556

87

0.602322

282

2,326

4.812057

0.407801

0.097273

0.025792

0.01916

0.179808

0.140015

0.06927

0

0.024144

0.234308

2,326

72

88

32.305556

0.737788

0.019347

0

0.095238

0

0.138779

0.02152

0.015873

0

1

0.015873

false

0

0.079365

0

0.190476

0

null

0

null

0

1

0

192a9867b561e4cc653889667cda0bafef034b8e

4,706

py

Python

Main/APIUsagePatternSearcher.py

SMAT-Lab/APIMatchmaker

0cc5c68f7f2aba570ad4c583bbc5ec757158c676

[ "MIT" ]

null

Main/APIUsagePatternSearcher.py

SMAT-Lab/APIMatchmaker

0cc5c68f7f2aba570ad4c583bbc5ec757158c676

[ "MIT" ]

null

Main/APIUsagePatternSearcher.py

SMAT-Lab/APIMatchmaker

0cc5c68f7f2aba570ad4c583bbc5ec757158c676

[ "MIT" ]

null

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

35.923664

116

0.563536

444

4,706

5.891892

0.279279

0.030581

0.03211

0.020642

0.196865

0.177752

0

0.005175

0.342966

4,706

130

117

36.2

0.84088

0.112622

0

0.306818

0

0.038989

0.005054

0

1

0.068182

false

0

0.022727

0

0.147727

0

null

0

null

0

1

0

192b90d17689e6aeda21369042966d2de1a7f460

335

py

Python

Beginner/Ambiguous Permutations (PERMUT2)/permutation.py

anishsingh42/CodeChef

50f5c0438516210895e513bc4ee959b9d99ef647

[ "Apache-2.0" ]

127

2020-10-13T18:04:35.000Z

2022-02-17T10:56:27.000Z

Beginner/Ambiguous Permutations (PERMUT2)/permutation.py

anishsingh42/CodeChef

50f5c0438516210895e513bc4ee959b9d99ef647

[ "Apache-2.0" ]

132

2020-10-13T18:06:53.000Z

2021-10-17T18:44:26.000Z

Beginner/Ambiguous Permutations (PERMUT2)/permutation.py

anishsingh42/CodeChef

50f5c0438516210895e513bc4ee959b9d99ef647

[ "Apache-2.0" ]

364

2020-10-13T18:04:52.000Z

2022-03-04T14:34:53.000Z

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

23.928571

51

0.402985

39

335

3.461538

0.538462

0.088889

0

0.01676

0.465672

335

14

52

23.928571

0.73743

0

0.142857

0

0.065476

0

1

0

false

0

0.142857

0

null

0

null

0

1

0

192bad6eff2c66e4ca11db59cd7ea795ca554716

2,140

py

Python

src/voiceassistant/integrations/respeaker.py

vadimtitov/voice-assistant

9ed6a799f44d5a546eb712195e3e84e6ff10d2fa

[ "Apache-2.0" ]

1

2021-12-19T14:59:31.000Z

src/voiceassistant/integrations/respeaker.py

vadimtitov/voice-assistant

9ed6a799f44d5a546eb712195e3e84e6ff10d2fa

[ "Apache-2.0" ]

3

2021-09-16T20:47:58.000Z

2021-12-19T02:45:59.000Z

src/voiceassistant/integrations/respeaker.py

vadimtitov/voice-assistant

9ed6a799f44d5a546eb712195e3e84e6ff10d2fa

[ "Apache-2.0" ]

null

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

24.883721

98

0.700935

255

2,140

5.686275

0.368627

0.086897

0.075862

0.066207

0.246897

0.146207

0

0.006463

0.204673

2,140

85

99

25.176471

0.845476

0.101869

0

0.18

0

0.053305

0

1

0.12

false

0.02

0.18

0

0.44

0.02

0

null

0

null

0

1

0

192bfb70b6700b39e9f6c097fb207ffc155ff246

4,602

py

Python

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

takeitallsource/pac-simulator

2c00d878047ec4a0247167e8a7de5aec8b474086

[ "MIT" ]

1

2018-07-14T07:09:23.000Z

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

takeitallsource/pac-simulator

2c00d878047ec4a0247167e8a7de5aec8b474086

[ "MIT" ]

null

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

takeitallsource/pac-simulator

2c00d878047ec4a0247167e8a7de5aec8b474086

[ "MIT" ]

null

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

37.112903

100

0.634941

562

4,602

4.948399

0.197509

0.053937

0.046746

0.035958

0.401654

0.377202

0.356706

0.307084

0.276879

0.248112

0

0.008331

0.269665

4,602

123

101

37.414634

0.819101

0.005867

0

0.326733

0

0.013995

0

1

0.118812

false

0.009901

0.039604

0.009901

0.19802

0.009901

0

null

0

null

0

1

0

192c65ff044acb45e1b0a8921920efeebef0c02a

4,093

py

Python

setup.py

opalmer/pycffiwin32

39210182a92e93c37a9f1c644fd5fcc1aa32f6d1

[ "MIT" ]

10

2015-11-19T12:39:50.000Z

2021-02-21T20:15:29.000Z

setup.py

opalmer/pycffiwin32

39210182a92e93c37a9f1c644fd5fcc1aa32f6d1

[ "MIT" ]

109

2015-06-15T05:03:33.000Z

2018-01-14T10:18:48.000Z

setup.py

opalmer/pycffiwin32

39210182a92e93c37a9f1c644fd5fcc1aa32f6d1

[ "MIT" ]

8

2015-07-29T04:18:27.000Z

2018-11-02T17:15:40.000Z

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

31.728682

79

0.583435

424

4,093

5.528302

0.476415

0.025597

0.042662

0.013652

0.045222

0.027304

0

0.004912

0.303689

4,093

128

80

31.976563

0.817544

0.07916

0

0.08

0

0.219317

0.013607

0

1

0.01

false

0

0.09

0

0.11

0.03

0

null

0

null

0

1

0

192f1d7e5401a66f3ca654feee18cca382797d01

2,941

py

Python

generate.py

fnrcum/dungeon_generator

7f5d1bd1b612f66e39f2782eac6fcd40abe7f7f0

[ "MIT" ]

null

generate.py

fnrcum/dungeon_generator

7f5d1bd1b612f66e39f2782eac6fcd40abe7f7f0

[ "MIT" ]

null

generate.py

fnrcum/dungeon_generator

7f5d1bd1b612f66e39f2782eac6fcd40abe7f7f0

[ "MIT" ]

null

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

35.011905

82

0.550493

398

2,941

3.899497

0.298995

0.05799

0.045103

0.049613

0.132732

0.055412

0

0.037988

0.33764

2,941

83

35.433735

0.758727

0.112547

0

0.033898

0

0.002309

0

1

0.101695

false

0

0.067797

0

0.20339

0.016949

0

null

0

null

0

1

0

19340df43351011be81d21c8afe59df9e5f9d483

1,821

py

Python

Sensors/MaxSonarTTY.py

paceaux/pi-projects

c9eb1f138868d41f8304c4251382cc4a6d161ba8

[ "MIT" ]

null

Sensors/MaxSonarTTY.py

paceaux/pi-projects

c9eb1f138868d41f8304c4251382cc4a6d161ba8

[ "MIT" ]

null

Sensors/MaxSonarTTY.py

paceaux/pi-projects

c9eb1f138868d41f8304c4251382cc4a6d161ba8

[ "MIT" ]

null

#!/usr/bin/python3 # Filename: maxSonarTTY.py # Reads serial data from Maxbotix ultrasonic rangefinders # Gracefully handles most common serial data glitches # Use as an importable module with "import MaxSonarTTY" # Returns an integer value representing distance to target in millimeters from time import time from ser...

33.109091

84

0.556837

186

1,821

5.430108

0.553763

0.079208

0

0.012965

0.364635

1,821

54

85

33.722222

0.859983

0.253707

0

0.228571

0

0.048399

0

1

0.057143

false

0

0.057143

0

0.142857

0

null

0

null

0

1

0

1935e935a94ea899193f63cf6a01d898e2f578ec

2,577

py

Python

tests/output/TestFile.py

dstore-dbap/LumberMill

b7cbadc209a83386871735b8ad88b61da917a6ab

[ "Apache-2.0" ]

15

2015-12-14T19:07:28.000Z

2022-02-28T13:32:11.000Z

tests/output/TestFile.py

dstore-dbap/LumberMill

b7cbadc209a83386871735b8ad88b61da917a6ab

[ "Apache-2.0" ]

null

tests/output/TestFile.py

dstore-dbap/LumberMill

b7cbadc209a83386871735b8ad88b61da917a6ab

[ "Apache-2.0" ]

4

2017-02-08T10:49:55.000Z

2019-03-19T18:47:46.000Z

import sys import os import io import gzip import mock import tempfile import lumbermill.utils.DictUtils as DictUtils from tests.ModuleBaseTestCase import ModuleBaseTestCase from lumbermill.output import File class TestFile(ModuleBaseTestCase): def setUp(self): super(TestFile, self).setUp(File.File(mock...

37.347826

128

0.629414

299

2,577

5.244147

0.324415

0.102041

0.107143

0.040816

0.451531

0.369898

0.335459

0

0.003203

0.273186

2,577

69

129

37.347826

0.833956

0

0.305085

0

0.11249

0.017067

0

0.050847

1

0.101695

false

0

0.152542

0

0.305085

0

null

0

null

0

1

0

19368974491b6add6e004f6c293a6ac67a000708

4,517

py

Python

user_scripts/decode_logits.py

DavidHribek/pero-ocr

8d274282813878b3e31dd560563a36b3f02e5c33

[ "BSD-3-Clause" ]

null

user_scripts/decode_logits.py

DavidHribek/pero-ocr

8d274282813878b3e31dd560563a36b3f02e5c33

[ "BSD-3-Clause" ]

null

user_scripts/decode_logits.py

DavidHribek/pero-ocr

8d274282813878b3e31dd560563a36b3f02e5c33

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 import argparse import pickle import time import sys from safe_gpu.safe_gpu import GPUOwner from pero_ocr.decoding import confusion_networks from pero_ocr.decoding.decoding_itf import prepare_dense_logits, construct_lm, get_ocr_charset, BLANK_SYMBOL import pero_ocr.decoding.decoders as decoder...

34.480916

150

0.651317

611

4,517

4.621931

0.276596

0.044618

0.084278

0.03364

0.190864

0.093484

0.052408

0.030453

0

0.003977

0.220722

4,517

130

151

34.746154

0.798295

0.004649

0

0.12

0

0.169967

0

1

0.05

false

0

0.09

0

0.18

0.01

0

null

0

null

0

1

0

1936ec832cd585d63cf22975d9e0473abed83035

1,608

py

Python

PiCN/Layers/ICNLayer/ContentStore/ContentStoreMemoryExact.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

PiCN/Layers/ICNLayer/ContentStore/ContentStoreMemoryExact.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

5

2020-07-15T09:01:42.000Z

2020-09-28T08:45:21.000Z

PiCN/Layers/ICNLayer/ContentStore/ContentStoreMemoryExact.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

""" An in-memory content store with exact matching""" import time from PiCN.Packets import Content, Name from PiCN.Layers.ICNLayer.ContentStore import BaseContentStore, ContentStoreEntry class ContentStoreMemoryExact(BaseContentStore): """ A in memory Content Store using exact matching""" def __init__(self...

34.212766

83

0.65796

196

1,608

5.168367

0.285714

0.069102

0.0385

0.050346

0.090819

0.041461

0

0.001676

0.258085

1,608

46

84

34.956522

0.847443

0.085199

0

0.058824

0

1

0.176471

false

0

0.088235

0

0.382353

0

null

0

null

0

1

0

193ab624d131e849acb875b0bc59e01faf091e1d

279

py

Python

texaslan/slack/pipelines/on_success.py

hsmeans/texaslan.org

a981e7835381e77320e39536a619981ba9d03451

[ "MIT" ]

2

2018-02-06T06:24:03.000Z

2018-03-20T03:32:13.000Z

texaslan/slack/pipelines/on_success.py

hsmeans/texaslan.org

a981e7835381e77320e39536a619981ba9d03451

[ "MIT" ]

32

2017-02-21T20:01:43.000Z

2020-02-08T21:52:16.000Z

texaslan/slack/pipelines/on_success.py

hsmeans/texaslan.org

a981e7835381e77320e39536a619981ba9d03451

[ "MIT" ]

6

2017-03-21T21:16:40.000Z

2020-02-08T20:46:20.000Z

from django_slack_oauth.models import SlackOAuthRequest def register_token(request, api_data): SlackOAuthRequest.objects.create( associated_user=request.user, access_token=api_data.pop('access_token'), extras=api_data ) return request, api_data

27.9

55

0.749104

34

279

5.852941

0.617647

0.140704

0

0.175627

279

10

56

27.9

0.865217

0

0.042857

0

1

0.125

false

0

0.125

0

0.375

0

null

0

null

0

1

0

193cb661b098c4c5b452e6a65209cb9479f364c3

4,326

py

Python

get_git/github_client.py

alanahanson/get-git

a3b078a64ce8f4bb7103fcd46a0eee80cd35f87c

[ "MIT" ]

null

get_git/github_client.py

alanahanson/get-git

a3b078a64ce8f4bb7103fcd46a0eee80cd35f87c

[ "MIT" ]

null

get_git/github_client.py

alanahanson/get-git

a3b078a64ce8f4bb7103fcd46a0eee80cd35f87c

[ "MIT" ]

null

import os from get_git.utils import make_request GH_URL = 'https://api.github.com/graphql' TOKEN=os.environ.get('GH_API_TOKEN') class GithubClient: def __init__(self, username): self.username = username def get_user(self): query = """ {user(login:"%s") { starredRepos...

35.170732

100

0.487286

350

4,326

5.837143

0.211429

0.0744

0.082232

0.096916

0.52325

0.441997

0.408223

0.33676

0

0.006998

0.405455

4,326

122

101

35.459016

0.787325

0

0.4

0

0.596625

0.035599

0

1

0.072727

false

0

0.018182

0

0.172727

0

null

0

null

0

1

0

193eb2395e6afc892c407dab660196002686ac81

15,517

py

Python

Naluno/model.py

dstarrago/Naluno

de2a498b65ac7e10599f797e41c77d0ceae56c3e

[ "MIT" ]

null

Naluno/model.py

dstarrago/Naluno

de2a498b65ac7e10599f797e41c77d0ceae56c3e

[ "MIT" ]

null

Naluno/model.py

dstarrago/Naluno

de2a498b65ac7e10599f797e41c77d0ceae56c3e

[ "MIT" ]

null

from __future__ import division, print_function, unicode_literals from config import * __all__ = ['Map', 'Vertex', 'Edge', 'State'] class State: FREE = 0 CLOSED = 1 MANDATORY = 2 OPTIONAL = 3 class Square: def __init__(self): self._has_card = False @property ...

32.875

98

0.569827

1,980

15,517

4.198485

0.049495

0.057019

0.02887

0.036569

0.654276

0.549621

0.463491

0.371587

0.261037

0.248767

0

0.007443

0.333312

15,517

471

99

32.944798

0.796133

0.00638

0

0.400517

0

0.001205

0

1

0.191214

false

0

0.005168

0.095607

0.374677

0.002584

0

null

0

null

0

1

0

194088485187df0c1ce817432f67940ecca472cb

1,035

py

Python

combo/search/score.py

yanpei18345156216/COMBO_Python3

666a116dfece71e6236291e89ea2ab4d6db0ead9

[ "MIT" ]

139

2016-02-18T02:31:04.000Z

2022-02-18T10:38:06.000Z

combo/search/score.py

yanpei18345156216/COMBO_Python3

666a116dfece71e6236291e89ea2ab4d6db0ead9

[ "MIT" ]

8

2016-04-18T08:10:44.000Z

2020-12-30T08:49:33.000Z

combo/search/score.py

yanpei18345156216/COMBO_Python3

666a116dfece71e6236291e89ea2ab4d6db0ead9

[ "MIT" ]

50

2016-05-21T01:17:23.000Z

2022-02-18T01:27:41.000Z

import numpy as np import scipy.stats def EI(predictor, training, test, fmax=None): fmean = predictor.get_post_fmean(training, test) fcov = predictor.get_post_fcov(training, test) fstd = np.sqrt(fcov) if fmax is None: fmax = np.max(predictor.get_post_fmean(training, training)) temp1 = (f...

24.069767

67

0.656039

142

1,035

4.683099

0.28169

0.144361

0.168421

0.126316

0.526316

0

0.011321

0.231884

1,035

42

68

24.642857

0.825157

0

0.433333

0

1

0.1

false

0.033333

0.066667

0

0.266667

0

null

0

null

0

1

0

19414c412df3d7fe628fab1103ed1b978f8a57d8

1,528

py

Python

dags/calculating_google_ads_network.py

BjMrq/Python-AirflowReportPipeline

261812488d661580cb0f41808d94249cc8e0951b

[ "MIT" ]

2

2019-06-28T20:08:56.000Z

2021-03-30T15:24:10.000Z

dags/calculating_google_ads_network.py

BjMrq/Python-AirflowReportPipeline

261812488d661580cb0f41808d94249cc8e0951b

[ "MIT" ]

null

dags/calculating_google_ads_network.py

BjMrq/Python-AirflowReportPipeline

261812488d661580cb0f41808d94249cc8e0951b

[ "MIT" ]

null

import pandas as pd import numpy as np LOCAL_DIR = '/tmp/' def main(**kwargs): # Retrieve acampus from Xcom ti = kwargs["ti"] source = ti.xcom_pull( task_ids="report_init_task") campus_name = source["campus"] # Read data file to create a data frame df = pd.read_csv(LOCAL_DIR + camp...

27.781818

78

0.621073

198

1,528

4.631313

0.479798

0.043621

0.023991

0.037077

0.058888

0

0.005978

0.233639

1,528

54

79

28.296296

0.777114

0.176047

0

0.216974

0.045637

0

1

0.035714

false

0

0.071429

0

0.107143

0

null

0

null

0

1

0

1941b9b85d89dbfd9a868d046110eb8fc8e84d5a

1,401

py

Python

src/auditor/org_checker.py

agrc/agol-validator

b17f3fee55bf0b1f7d2ed21ae86b1556072da4d8

[ "MIT" ]

null

src/auditor/org_checker.py

agrc/agol-validator

b17f3fee55bf0b1f7d2ed21ae86b1556072da4d8

[ "MIT" ]

21

2020-01-29T22:03:54.000Z

2020-07-29T17:55:44.000Z

src/auditor/org_checker.py

agrc/agol-validator

b17f3fee55bf0b1f7d2ed21ae86b1556072da4d8

[ "MIT" ]

null

""" Holds an OrgChecker object that runs checks at the organization level (instead of at the item level) """ class OrgChecker: """ An OrgChecker runs checks at the org level, as opposed to the item level. For example, checking whether there are any items with the same title. To use, instantiate and t...

29.808511

117

0.628837

180

1,401

4.722222

0.388889

0.082353

0.056471

0.081176

0.063529

0

0.001007

0.291221

1,401

46

118

30.456522

0.854985

0.403283

0

0.034621

0

1

0.157895

false

0

0.315789

0

null

0

null

0

1

0

1941f729283db4adc38960fd6ecd423a78269f4b

994

py

Python

create_post.py

schlop/blog

74fe7d5ce4e1c00942cb033710720098ac493844

[ "MIT" ]

null

create_post.py

schlop/blog

74fe7d5ce4e1c00942cb033710720098ac493844

[ "MIT" ]

null

create_post.py

schlop/blog

74fe7d5ce4e1c00942cb033710720098ac493844

[ "MIT" ]

null

#!/usr/bin/python3 from datetime import datetime import sys def create_blog_post(title=""): file_date = datetime.now().strftime("%Y-%m-%d") file_name = file_date + "---" + title.replace(" ", "-") + ".md" print(file_name) try: file = open("content/posts/" + file_name, "x") except FileExists...

26.157895

80

0.573441

120

994

4.558333

0.541667

0.054845

0.076782

0

0.005249

0.2334

994

37

81

26.864865

0.712598

0.017103

0

0.347336

0

1

0.032258

false

0

0.064516

0

0.096774

0

null

0

null

0

1

0

194306ac920374768433626240e00df6f0b039ac

1,436

py

Python

src/python/procyon/py3.py

orbea/procyon

469d94427d3b6e7cc2ab93606bdf968717a49150

[ "Apache-2.0" ]

null

src/python/procyon/py3.py

orbea/procyon

469d94427d3b6e7cc2ab93606bdf968717a49150

[ "Apache-2.0" ]

null

src/python/procyon/py3.py

orbea/procyon

469d94427d3b6e7cc2ab93606bdf968717a49150

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright 2017 The Procyon Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Un...

29.306122

74

0.664345

194

1,436

4.917526

0.530928

0.062893

0.044025

0.04717

0

0.012658

0.229805

1,436

48

75

29.916667

0.84991

0.673398

0

0.352941

0

0.071588

0

1

0

false

0

null

0

null

0

1

0

1943cab210caf1760efe3b398e0efc3f17bdc7ab

693

py

Python

interlens/criterions/criterion.py

cctien/bimultialign

d0dad62651c25545fb7539639cb72fc8ea2570aa

[ "MIT" ]

null

interlens/criterions/criterion.py

cctien/bimultialign

d0dad62651c25545fb7539639cb72fc8ea2570aa

[ "MIT" ]

null

interlens/criterions/criterion.py

cctien/bimultialign

d0dad62651c25545fb7539639cb72fc8ea2570aa

[ "MIT" ]

null

from allennlp.common import Registrable import torch class Criterion(torch.nn.Module, Registrable): """ A `Criterion` is a `Module` that ... """ def __init__(self, reduction: str = 'mean', verbose: bool = False,) -> None: super().__init__() self.redu...

23.896552

51

0.572872

69

693

5.565217

0.536232

0.041667

0.088542

0

0.31746

693

28

52

24.75

0.811839

0.125541

0

0.117647

0

0.018644

0

1

0.117647

false

0

0.117647

0

0.294118

0

null

0

null

0

1

0

1945a3089e1f6313c2cc75593bf5a6b3e3eaea61

4,767

py

Python

rain/models/posemb_transformer.py

qq1418381215/caat

1422707bef7a2aeca272fa085f410bff07ced760

[ "MIT" ]

14

2021-09-15T02:49:18.000Z

2022-03-15T06:00:54.000Z

rain/models/posemb_transformer.py

qq1418381215/caat

1422707bef7a2aeca272fa085f410bff07ced760

[ "MIT" ]

11

2021-09-17T03:17:07.000Z

2022-02-08T03:12:41.000Z

rain/models/posemb_transformer.py

qq1418381215/caat

1422707bef7a2aeca272fa085f410bff07ced760

[ "MIT" ]

2

2021-11-06T19:22:29.000Z

2022-03-24T11:56:11.000Z

import torch import os from torch import Tensor import torch.nn as nn from fairseq import options, utils, checkpoint_utils from fairseq.dataclass import ChoiceEnum, FairseqDataclass from fairseq.models import ( transformer, FairseqLanguageModel, register_model, register_model_architecture, FairseqEn...

42.5625

102

0.680092

540

4,767

5.688889

0.209259

0.041667

0.030924

0.374349

0.244466

0.178385

0.122396

0

0.008071

0.246276

4,767

111

103

42.945946

0.846925

0.016782

0

0.171717

0

0.010101

0.10831

0.033753

0

1

0.050505

false

0

0.090909

0

0.181818

0

null

0

null

0

1

0

1946122a44cafe21fe0a3f27b222402b8e3d88b9

6,345

py

Python

ensembl_map/symbol.py

mattdoug604/ensembl_map

5edb8a48943df4b53effe3cd7ddf4d461fdd4bae

[ "MIT" ]

null

ensembl_map/symbol.py

mattdoug604/ensembl_map

5edb8a48943df4b53effe3cd7ddf4d461fdd4bae

[ "MIT" ]

1

2020-03-24T18:20:15.000Z

2020-03-25T22:56:06.000Z

ensembl_map/symbol.py

mattdoug604/ensembl_map

5edb8a48943df4b53effe3cd7ddf4d461fdd4bae

[ "MIT" ]

null

from .ensembl import Ensembl from .util import is_ensembl_id ########## ## Exon ## ########## def get_exons(feature, feature_type): exons = [] for exon_id in get_exon_ids(feature, feature_type): exons.append(_query(exon_id, "exon", Ensembl().data.exon_by_id)) return exons def get_exon_ids(featur...

35.446927

96

0.695035

859

6,345

4.759022

0.083818

0.191047

0.149706

0.063601

0.710861

0.652887

0.565802

0.536937

0.475049

0.364726

0

0.00058

0.18424

6,345

178

97

35.646067

0.789219

0.040032

0

0.297521

0

0.105503

0

1

0.132231

false

0

0.016529

0.008264

0.380165

0

null

0

null

0

1

0

194675cce0a60e3494b3def09e1010cda20f0f00

1,113

py

Python

MiGRIDS/InputHandler/readAllTimeSeries.py

mmuellerstoffels/GBSTools

aebd8aa6667a2284aaa16424f9b9d22ca3a2a375

[ "MIT" ]

8

2019-02-18T14:18:55.000Z

2022-03-04T12:34:24.000Z

MiGRIDS/InputHandler/readAllTimeSeries.py

mmuellerstoffels/GBSTools

aebd8aa6667a2284aaa16424f9b9d22ca3a2a375

[ "MIT" ]

3

2018-09-01T00:30:19.000Z

2018-09-01T01:09:50.000Z

MiGRIDS/InputHandler/readAllTimeSeries.py

acep-uaf/GBSTools

aebd8aa6667a2284aaa16424f9b9d22ca3a2a375

[ "MIT" ]

3

2019-06-10T19:49:22.000Z

2021-05-08T08:42:57.000Z

from MiGRIDS.InputHandler.readCsv import readCsv def readAllTimeSeries(inputDict): ''' Cycles through a list of files in the AVEC format and imports them into a single dataframe. :param inputDict: :return: pandas.DataFrame with data from all input files. ''' df = None for i in range(len(inp...

33.727273

95

0.591195

132

1,113

4.977273

0.522727

0.082192

0.057839

0

0.010724

0.329739

1,113

32

96

34.78125

0.869973

0.340521

0

0.055477

0

1

0.055556

false

0

0.055556

0

0.166667

0.055556

0

null

0

null

0

1

0

19476d50e68179e3181c58bfc67d757bccf5c292

6,191

py

Python

aatrn.py

kmkurn/uxtspwsd

ea4da18cec023d0dc487ee061861e6715edc2e85

[ "MIT" ]

null

aatrn.py

kmkurn/uxtspwsd

ea4da18cec023d0dc487ee061861e6715edc2e85

[ "MIT" ]

null

aatrn.py

kmkurn/uxtspwsd

ea4da18cec023d0dc487ee061861e6715edc2e85

[ "MIT" ]

null

# Copyright (c) 2021 Kemal Kurniawan from typing import Optional import math from einops import rearrange from torch import BoolTensor, Tensor from crf import DepTreeCRF, LinearCRF def compute_aatrn_loss( scores: Tensor, aa_mask: BoolTensor, mask: Optional[BoolTensor] = None, projective: bool = Fal...

37.295181

95

0.709255

876

6,191

4.769406

0.139269

0.03686

0.015318

0.034466

0.689086

0.664433

0.606032

0.574677

0.453088

0.432504

0

0.011621

0.19383

6,191

165

96

37.521212

0.825486

0.139557

0

0.363636

0

0.070877

0

0.045455

1

0.072727

false

0

0.045455

0

0.209091

0

null

0

null

0

1

0

194979bac6f323e9a28bd3fab05ed2877e60ddea

605

py

Python

CE_to_AE_enemy_converter.py

Plouni/mari0_se_ce_to_ae_level_converter

9aa0d0ebffac4df1b5d541ff003bd9abeb187a0a

[ "MIT" ]

1

2022-02-03T23:07:20.000Z

CE_to_AE_enemy_converter.py

Plouni/mari0_se_ce_to_ae_level_converter

9aa0d0ebffac4df1b5d541ff003bd9abeb187a0a

[ "MIT" ]

null

CE_to_AE_enemy_converter.py

Plouni/mari0_se_ce_to_ae_level_converter

9aa0d0ebffac4df1b5d541ff003bd9abeb187a0a

[ "MIT" ]

null

import os import json import logging cwd = os.getcwd() list_enemy = [file for file in os.listdir(cwd) if '.json' in file[-5:]] for enemy in list_enemy: try: with open(cwd + '\\' + enemy, 'r') as f: enemy_txt = f.read() enemy_txt = enemy_txt.replace('offsetx','offsetX')....

26.304348

194

0.591736

77

605

4.558442

0.428571

0.11396

0.062678

0.091168

0

0.002188

0.244628

605

22

195

27.5

0.765864

0

0.196694

0

1

0

false

0

0.214286

0

0.214286

0.071429

0

null

0

null

0

1

0

195261959efe1d29efc067b8292d053eeea3aa60

1,639

py

Python

Chapter05/non-model-view_code.py

trappn/Mastering-GUI-Programming-with-Python

14392c06dd3b9cf655420d09853bce6bfe8fe16d

[ "MIT" ]

138

2018-12-06T15:48:07.000Z

2022-03-28T12:23:12.000Z

Chapter05/non-model-view_code.py

thema27/Mastering-GUI-Programming-with-Python

66f33ff6c07b7e22a396a982a5502bd93c20d785

[ "MIT" ]

16

2019-11-21T08:17:42.000Z

2020-08-19T06:56:48.000Z

Chapter05/non-model-view_code.py

thema27/Mastering-GUI-Programming-with-Python

66f33ff6c07b7e22a396a982a5502bd93c20d785

[ "MIT" ]

116

2018-12-08T18:13:02.000Z

2022-03-22T14:30:57.000Z

import sys from os import path from PyQt5 import QtWidgets as qtw from PyQt5 import QtGui as qtg from PyQt5 import QtCore as qtc class MainWindow(qtw.QMainWindow): def __init__(self): """MainWindow constructor. This widget will be our main window. We'll define all the UI components in h...

27.779661

60

0.583282

191

1,639

4.921466

0.513089

0.051064

0.047872

0.073404

0

0.002686

0.318487

1,639

58

61

28.258621

0.838854

0.147651

0

0.060895

0

1

0.05

false

0

0.125

0

0.2

0

null

0

null

0

1

0

1953a970695d2673fad8c3f0a83d3f344f3fbfa4

5,647

py

Python

sandbox/kl_div/kl.py

samuelfneumann/RLControl

71430b1de2e4262483908932eb44579c2ec8216d

[ "Apache-2.0" ]

9

2018-07-30T20:12:47.000Z

2021-02-05T17:02:04.000Z

sandbox/kl_div/kl.py

samuelfneumann/RLControl

71430b1de2e4262483908932eb44579c2ec8216d

[ "Apache-2.0" ]

14

2020-01-28T22:38:58.000Z

2022-02-10T00:11:21.000Z

sandbox/kl_div/kl.py

samuelfneumann/RLControl

71430b1de2e4262483908932eb44579c2ec8216d

[ "Apache-2.0" ]

3

2018-08-08T14:52:53.000Z

2021-01-23T18:00:05.000Z

import numpy as np import scipy as sp import scipy.stats import matplotlib.pyplot as plt class GaussianMixture1D: def __init__(self, mixture_probs, means, stds): self.num_mixtures = len(mixture_probs) self.mixture_probs = mixture_probs self.means = means self.stds = stds def s...

38.155405

168

0.64583

899

5,647

3.684093

0.150167

0.084541

0.092995

0.084541

0.452899

0.422705

0.384662

0.306763

0.28744

0.270531

0

0.015242

0.233221

5,647

147

169

38.414966

0.749654

0.019834

0

0.243478

0

0.042134

0.007957

0

1

0.069565

false

0

0.034783

0.008696

0.165217

0.017391

0

null

0

null

0

1

0

19556d177fed4def9f6818303c33e5aa562c38b8

904

py

Python

SortingAlgorithm/shell_sort.py

hpf0532/algorithms_demo

4f02444ee634295e5cbf8e5624d4e5b65931897d

[ "MIT" ]

null

SortingAlgorithm/shell_sort.py

hpf0532/algorithms_demo

4f02444ee634295e5cbf8e5624d4e5b65931897d

[ "MIT" ]

null

SortingAlgorithm/shell_sort.py

hpf0532/algorithms_demo

4f02444ee634295e5cbf8e5624d4e5b65931897d

[ "MIT" ]

null

# -*- coding:utf-8 -*- # author: hpf # create time: 2020/7/16 21:33 # file: shell_sort.py # IDE: PyCharm # 希尔排序(Shell Sort)是插入排序的一种。也称缩小增量排序，是直接插入排序算法的一种更高效的改进版本。 # 希尔排序是非稳定排序算法。该方法因DL．Shell于1959年提出而得名。希尔排序是把记录按下标的一定增量分组， # 对每组使用直接插入排序算法排序；随着增量逐渐减少，每组包含的关键词越来越多，当增量减至1时，整个文件恰被分成一组，算法便终止。 def shell_sort(alist): n...

21.52381

67

0.535398

112

904

4.223214

0.625

0.07611

0.069767

0.07611

0.095137

0

0.064784

0.334071

904

42

68

21.52381

0.72093

0.390487

0

0.111111

0

0.014953

0

1

0.055556

false

0

0.055556

0.111111

0

null

0

null

0

1

0

1956211e1137a8ec3efab729e58887fd70b0e317

7,307

py

Python

data-structures/double-list.py

costincaraivan/cs-refresher

008fdb2af661310c65f656f017ec34e5df004424

[ "MIT" ]

1

2018-06-12T12:00:33.000Z

data-structures/double-list.py

costincaraivan/cs-refresher

008fdb2af661310c65f656f017ec34e5df004424

[ "MIT" ]

null

data-structures/double-list.py

costincaraivan/cs-refresher

008fdb2af661310c65f656f017ec34e5df004424

[ "MIT" ]

null

# Completely silly exercises, in real life use: # Python lists: https://docs.python.org/3/tutorial/datastructures.html import unittest import logging logging.basicConfig(level=logging.INFO) # - DoublyLinkedListNode class. class DoublyLinkedListNode: value = None previousNode = None nextNode = None ...

26.765568

72

0.596141

801

7,307

5.319601

0.154806

0.080028

0.118751

0.036142

0.547524

0.47172

0.437691

0.411406

0.37057

0.306736

0

0.012621

0.306008

7,307

272

73

26.863971

0.827647

0.11359

0

0.505682

0

0.002339

0

0.051136

1

0.136364

false

0

0.011364

0.267045

0

null

0

null

0

1

0

195cbcd5dccdd7c73a9db51970b9798eb35a32b9

466

py

Python

Python Programs/guess the number.py

sayanpoddar123/RTU-DigitalLibrary

658500ce3ee089d622cea0f6b49dfb8b485d0be6

[ "MIT" ]

null

Python Programs/guess the number.py

sayanpoddar123/RTU-DigitalLibrary

658500ce3ee089d622cea0f6b49dfb8b485d0be6

[ "MIT" ]

null

Python Programs/guess the number.py

sayanpoddar123/RTU-DigitalLibrary

658500ce3ee089d622cea0f6b49dfb8b485d0be6

[ "MIT" ]

null

#Guess program n=18 a=0 y = 1 print("Number of guesses is limited to only 4 times") while a<=3: z=int(input("Enter your choice=")) if z>n: print("Please less your number") a+=1 elif z<n: print("Please increase your number") a += 1 else: print("You win") ...

16.642857

64

0.555794

76

466

3.407895

0.539474

0.015444

0.11583

0.100386

0

0.034375

0.313305

466

27

65

17.259259

0.775

0.027897

0

0.1

0

0.412027

0

1

0

false

0

0.35

0

null

0

null

0

1

0

195cc099346d6a0faa355accfa24ab213925cda9

8,019

py

Python

src/soundsystem.py

WinterLicht/Chaos-Projectile

3fffb788b241b7baa4247c1e630d83a7210ddc2e

[ "CC-BY-4.0" ]

59

2015-03-25T21:29:06.000Z

2022-01-17T22:48:05.000Z

src/soundsystem.py

WinterLicht/Chaos-Projectile

3fffb788b241b7baa4247c1e630d83a7210ddc2e

[ "CC-BY-4.0" ]

11

2015-07-07T07:10:42.000Z

2021-11-21T12:47:42.000Z

src/soundsystem.py

WinterLicht/Chaos-Projectile

3fffb788b241b7baa4247c1e630d83a7210ddc2e

[ "CC-BY-4.0" ]

19

2015-07-13T06:44:44.000Z

2022-02-05T03:09:27.000Z

""" .. module:: soundsystem :Platform: Unix, Windows :Synopsis: Sound system """ import os import pygame import events import ai class SoundSystem(object): """Render system. :Attributes: - *evManager*: event manager - *world*: game world - *screen*: game screen """ ...

43.819672

111

0.60419

959

8,019

4.790407

0.148071

0.036569

0.04963

0.078363

0.623422

0.535263

0.428603

0.415107

0.386156

0.328907

0

0.007389

0.308018

8,019

183

112

43.819672

0.820508

0.07981

0

0.344828

0

0.034091

0

1

0.02069

false

0.006897

0.027586

0

0.062069

0

null

0

null

0

1

0

195d27bed09f6f47effd9b2ab9128a9b8b6d2db2

2,227

py

Python

hammer/django_bulk/bulk_create_test.py

awolfly9/hammer

03add3037461154fd764bb3340e68393e16f015f

[ "MIT" ]

null

hammer/django_bulk/bulk_create_test.py

awolfly9/hammer

03add3037461154fd764bb3340e68393e16f015f

[ "MIT" ]

null

hammer/django_bulk/bulk_create_test.py

awolfly9/hammer

03add3037461154fd764bb3340e68393e16f015f

[ "MIT" ]

null

# -*- coding=utf-8 -*- import django import os import sys import datetime import random import time os.environ['DJANGO_SETTINGS_MODULE'] = 'web.settings' django.setup() from web.other.models import BilibiliPlay from .helper import bulk_create def test_once_get(): start = time.time() for i in range(0, 1000...

26.511905

186

0.606646

287

2,227

4.508711

0.236934

0.123648

0.162287

0.120556

0.646832

0.611283

0.595054

0.55796

0.493045

0.443586

0

0.017857

0.245622

2,227

83

187

26.831325

0.752381

0.033678

0

0.421053

0

0.130123

0.01127

0

1

0.070175

false

0

0.140351

0

0.210526

0.070175

0

null

0

null

0

1

0

195f3150d0257121a8dd90bf3f90e35c01b0fa1c

1,921

py

Python

misago/threads/tests/test_thread_poll_api.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

1

2017-07-25T03:04:36.000Z

misago/threads/tests/test_thread_poll_api.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

null

misago/threads/tests/test_thread_poll_api.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

null

import json from django.urls import reverse from misago.acl.testutils import override_acl from misago.categories.models import Category from misago.threads import testutils from misago.users.testutils import AuthenticatedUserTestCase class ThreadPollApiTestCase(AuthenticatedUserTestCase): def setUp(self): ...

30.015625

93

0.605934

228

1,921

4.947368

0.289474

0.031915

0.039894

0.031915

0.31383

0.267731

0.148936

0.083333

0

0.005764

0.27746

1,921

63

94

30.492063

0.806916

0

0.122449

0

0.135867

0.042686

0

1

0.102041

false

0

0.122449

0.040816

0.285714

0

null

0

null

0

1

0

196317379bcca4ea114372256f94af6d980d0618

9,717

py

Python

demisto_sdk/commands/run_test_playbook/test_playbook_runner.py

SergeBakharev/demisto-sdk

17d00942a1bd33039a8aba9ddffecfd81008d275

[ "MIT" ]

null

demisto_sdk/commands/run_test_playbook/test_playbook_runner.py

SergeBakharev/demisto-sdk

17d00942a1bd33039a8aba9ddffecfd81008d275

[ "MIT" ]

null

demisto_sdk/commands/run_test_playbook/test_playbook_runner.py

SergeBakharev/demisto-sdk

17d00942a1bd33039a8aba9ddffecfd81008d275

[ "MIT" ]

null

import os import re import time import demisto_client from demisto_client.demisto_api.rest import ApiException from demisto_sdk.commands.common.tools import LOG_COLORS, get_yaml, print_color from demisto_sdk.commands.upload.uploader import Uploader SUCCESS_RETURN_CODE = 0 ERROR_RETURN_CODE = 1 ENTRY_TYPE_ERROR = 4 ...

41.348936

115

0.653185

1,281

9,717

4.675254

0.18345

0.122224

0.03974

0.033395

0.251461

0.112373

0.061279

0.039907

0

0.001973

0.269631

9,717

234

116

41.525641

0.841905

0.184522

0

0.130435

0

0.152725

0.030729

0

1

0.101449

false

0.007246

0.050725

0

0.23913

0.123188

0

null

0

null

0

1

0

19646d9adaadbd2e2fc9af7b3104bea3fb1c2bae

1,030

py

Python

docs/examples/template_query.py

Fourcast/flycs_sdk

4bf206c26f59726d0ce0caa51bd3a893a34fed2a

[ "MIT" ]

7

2020-12-15T13:25:43.000Z

2021-08-31T14:35:06.000Z

docs/examples/template_query.py

Fourcast/flycs_sdk

4bf206c26f59726d0ce0caa51bd3a893a34fed2a

[ "MIT" ]

2

2020-11-12T12:46:28.000Z

2021-12-21T07:26:28.000Z

docs/examples/template_query.py

Fourcast/flycs_sdk

4bf206c26f59726d0ce0caa51bd3a893a34fed2a

[ "MIT" ]

null

from datetime import datetime, timezone from flycs_sdk.entities import Entity from flycs_sdk.pipelines import Pipeline, PipelineKind from flycs_sdk.transformations import Transformation # Define your transformation SQL query using jinja template for the table name and define the list of table on which this transforma...

27.105263

154

0.694175

139

1,030

5.05036

0.446043

0.049858

0.021368

0.02849

0

0.029343

0.172816

1,030

37

155

27.837838

0.794601

0.233981

0

0.071429

0

0.194904

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

1965469fd09240b19440049eb433930a5143a25d

13,252

py

Python

try/run_eval.py

CleverShovel/AIJ2020-digital-peter

baf07200e607cd39398fc0db1ba699c7af5cea77

[ "MIT" ]

null

try/run_eval.py

CleverShovel/AIJ2020-digital-peter

baf07200e607cd39398fc0db1ba699c7af5cea77

[ "MIT" ]

null

try/run_eval.py

CleverShovel/AIJ2020-digital-peter

baf07200e607cd39398fc0db1ba699c7af5cea77

[ "MIT" ]

null

import torch.nn.functional as F import torch.nn as nn import torch import torchvision.transforms.functional as VF from PIL import Image import numpy as np import os from os.path import join from collections import Counter # device = torch.device("cuda" if torch.cuda.is_available() else "cpu") import math from ct...

34.066838

145

0.60821

1,873

13,252

4.111052

0.180993

0.024026

0.056364

0.035325

0.522078

0.410779

0.327662

0.296883

0.28

0.25961

0

0.046904

0.235813

13,252

389

146

34.066838

0.712353

0.555916

0

0.025

0

0.054653

0.017461

0

1

0.075

false

0

0.1

0

0.225

0.066667

0

null

0

null

0

1

0